.test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zen import Zenodo, LocalFiles\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.environ['ZENODO_TOKEN'] = 'fA2zvScoqZstX0vxNQ0XDPZKoNGhyNS45dXM3ex9kmfj4uywgS3ytQdo5Jar'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "zen = Zenodo(url=Zenodo.url, token=os.environ['ZENODO_TOKEN'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "dep = zen.depositions.retrieve(13754344)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Deposition: {'id': 13754344, 'title': 'Spatiotemporal prediction of soil organic carbon density for Europe (2000-2022) in 3D+T', 'state': 'unsubmitted'}>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "template = '/oc/oc_iso.10694.1995.mg.cm3_m_30m_{depth_ranges}_20000101_20041231_eu_epsg.3035_v20240804.tif'\n",
    "ds = LocalFiles\\\n",
    "    .from_template(template)\\\n",
    "    .expand(depth_ranges=[\n",
    "        'b0cm..20cm', \n",
    "        'b20cm..50cm', \n",
    "        'b50cm..100cm', \n",
    "        'b100cm..200cm'\n",
    "    ])\\\n",
    "    .modify_url(prefix='http://192.168.1.30:8333/ai4sh-landmasked')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'filename': 'oc_iso.10694.1995.mg.cm3_m_30m_b0cm..20cm_20000101_20041231_eu_epsg.3035_v20240804.tif',\n",
       "  'links': {'download': 'http://192.168.1.30:8333/ai4sh-landmasked/oc/oc_iso.10694.1995.mg.cm3_m_30m_b0cm..20cm_20000101_20041231_eu_epsg.3035_v20240804.tif'},\n",
       "  'properties': {'depth_ranges': 'b0cm..20cm'}},\n",
       " {'filename': 'oc_iso.10694.1995.mg.cm3_m_30m_b20cm..50cm_20000101_20041231_eu_epsg.3035_v20240804.tif',\n",
       "  'links': {'download': 'http://192.168.1.30:8333/ai4sh-landmasked/oc/oc_iso.10694.1995.mg.cm3_m_30m_b20cm..50cm_20000101_20041231_eu_epsg.3035_v20240804.tif'},\n",
       "  'properties': {'depth_ranges': 'b20cm..50cm'}},\n",
       " {'filename': 'oc_iso.10694.1995.mg.cm3_m_30m_b50cm..100cm_20000101_20041231_eu_epsg.3035_v20240804.tif',\n",
       "  'links': {'download': 'http://192.168.1.30:8333/ai4sh-landmasked/oc/oc_iso.10694.1995.mg.cm3_m_30m_b50cm..100cm_20000101_20041231_eu_epsg.3035_v20240804.tif'},\n",
       "  'properties': {'depth_ranges': 'b50cm..100cm'}},\n",
       " {'filename': 'oc_iso.10694.1995.mg.cm3_m_30m_b100cm..200cm_20000101_20041231_eu_epsg.3035_v20240804.tif',\n",
       "  'links': {'download': 'http://192.168.1.30:8333/ai4sh-landmasked/oc/oc_iso.10694.1995.mg.cm3_m_30m_b100cm..200cm_20000101_20041231_eu_epsg.3035_v20240804.tif'},\n",
       "  'properties': {'depth_ranges': 'b100cm..200cm'}}]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: call this before ds.storage_size\n",
    "ds.update_metadata()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35.815630431"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.storage_size * 1.0e-09"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zen import InvenioRDM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "zen = InvenioRDM('https://zenodo.org')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "hits = zen.search_records()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'hits': {'hits': [{'created': '2024-04-05T13:35:43.949097+00:00',\n",
       "    'modified': '2024-04-05T13:35:44.137396+00:00',\n",
       "    'id': 10932482,\n",
       "    'conceptrecid': '10932481',\n",
       "    'doi': '10.5281/zenodo.10932482',\n",
       "    'conceptdoi': '10.5281/zenodo.10932481',\n",
       "    'doi_url': 'https://doi.org/10.5281/zenodo.10932482',\n",
       "    'metadata': {'title': 'ggdna/seqwalk: v0.3.1',\n",
       "     'doi': '10.5281/zenodo.10932482',\n",
       "     'publication_date': '2024-04-05',\n",
       "     'description': '<p>DOI minting with zenodo.</p>',\n",
       "     'access_right': 'open',\n",
       "     'creators': [{'name': 'gokul', 'affiliation': None}],\n",
       "     'related_identifiers': [{'identifier': 'https://github.com/ggdna/seqwalk/tree/v0.3.1',\n",
       "       'relation': 'isSupplementTo',\n",
       "       'resource_type': 'software',\n",
       "       'scheme': 'url'}],\n",
       "     'version': 'v0.3.1',\n",
       "     'resource_type': {'title': 'Software', 'type': 'software'},\n",
       "     'license': {'id': 'cc-by-4.0'},\n",
       "     'relations': {'version': [{'index': 0,\n",
       "        'is_last': True,\n",
       "        'parent': {'pid_type': 'recid', 'pid_value': '10932481'}}]}},\n",
       "    'title': 'ggdna/seqwalk: v0.3.1',\n",
       "    'links': {'self': 'https://zenodo.org/api/records/10932482',\n",
       "     'self_html': 'https://zenodo.org/records/10932482',\n",
       "     'self_doi': 'https://zenodo.org/doi/10.5281/zenodo.10932482',\n",
       "     'doi': 'https://doi.org/10.5281/zenodo.10932482',\n",
       "     'parent': 'https://zenodo.org/api/records/10932481',\n",
       "     'parent_html': 'https://zenodo.org/records/10932481',\n",
       "     'parent_doi': 'https://zenodo.org/doi/10.5281/zenodo.10932481',\n",
       "     'self_iiif_manifest': 'https://zenodo.org/api/iiif/record:10932482/manifest',\n",
       "     'self_iiif_sequence': 'https://zenodo.org/api/iiif/record:10932482/sequence/default',\n",
       "     'files': 'https://zenodo.org/api/records/10932482/files',\n",
       "     'media_files': 'https://zenodo.org/api/records/10932482/media-files',\n",
       "     'archive': 'https://zenodo.org/api/records/10932482/files-archive',\n",
       "     'archive_media': 'https://zenodo.org/api/records/10932482/media-files-archive',\n",
       "     'latest': 'https://zenodo.org/api/records/10932482/versions/latest',\n",
       "     'latest_html': 'https://zenodo.org/records/10932482/latest',\n",
       "     'draft': 'https://zenodo.org/api/records/10932482/draft',\n",
       "     'versions': 'https://zenodo.org/api/records/10932482/versions',\n",
       "     'access_links': 'https://zenodo.org/api/records/10932482/access/links',\n",
       "     'access_users': 'https://zenodo.org/api/records/10932482/access/users',\n",
       "     'access_request': 'https://zenodo.org/api/records/10932482/access/request',\n",
       "     'access': 'https://zenodo.org/api/records/10932482/access',\n",
       "     'reserve_doi': 'https://zenodo.org/api/records/10932482/draft/pids/doi',\n",
       "     'communities': 'https://zenodo.org/api/records/10932482/communities',\n",
       "     'communities-suggestions': 'https://zenodo.org/api/records/10932482/communities-suggestions',\n",
       "     'requests': 'https://zenodo.org/api/records/10932482/requests'},\n",
       "    'updated': '2024-04-05T13:35:44.137396+00:00',\n",
       "    'recid': '10932482',\n",
       "    'revision': 4,\n",
       "    'files': [{'id': 'e40bddba-5b2b-4f9c-866e-b1a831a59680',\n",
       "      'key': 'ggdna/seqwalk-v0.3.1.zip',\n",
       "      'size': 144459,\n",
       "      'checksum': 'md5:b76d2aaf7f51d3f0def9eae2624a4d7b',\n",
       "      'links': {'self': 'https://zenodo.org/api/records/10932482/files/ggdna/seqwalk-v0.3.1.zip/content'}}],\n",
       "    'owners': [{'id': 1093940}],\n",
       "    'status': 'published',\n",
       "    'stats': {'downloads': 0,\n",
       "     'unique_downloads': 0,\n",
       "     'views': 0,\n",
       "     'unique_views': 0,\n",
       "     'version_downloads': 0,\n",
       "     'version_unique_downloads': 0,\n",
       "     'version_unique_views': 0,\n",
       "     'version_views': 0},\n",
       "    'state': 'done',\n",
       "    'submitted': True},\n",
       "   {'created': '2024-04-05T13:35:21.768551+00:00',\n",
       "    'modified': '2024-04-05T13:35:21.981405+00:00',\n",
       "    'id': 10932476,\n",
       "    'conceptrecid': '8116021',\n",
       "    'doi': '10.5281/zenodo.10932476',\n",
       "    'conceptdoi': '10.5281/zenodo.8116021',\n",
       "    'doi_url': 'https://doi.org/10.5281/zenodo.10932476',\n",
       "    'metadata': {'title': 'divonlan/genozip: 15.0.55',\n",
       "     'doi': '10.5281/zenodo.10932476',\n",
       "     'publication_date': '2024-04-05',\n",
       "     'description': '<ul>\\n<li>FASTQ: Support for compressing .fastq.ora files (files produced by Illumina Ora).</li>\\n<li>VCF: Incrementally better compression of VCF</li>\\n<li>Bug fixes</li>\\n</ul>',\n",
       "     'access_right': 'open',\n",
       "     'creators': [{'name': 'Divon Lan', 'affiliation': 'Genozip'},\n",
       "      {'name': 'Awen Saunders', 'affiliation': None},\n",
       "      {'name': 'Gavrie Philipson', 'affiliation': None},\n",
       "      {'name': 'Yassine Souilmi', 'affiliation': 'University of Adelaide'}],\n",
       "     'related_identifiers': [{'identifier': 'https://github.com/divonlan/genozip/tree/genozip-15.0.55',\n",
       "       'relation': 'isSupplementTo',\n",
       "       'resource_type': 'software',\n",
       "       'scheme': 'url'}],\n",
       "     'version': 'genozip-15.0.55',\n",
       "     'resource_type': {'title': 'Software', 'type': 'software'},\n",
       "     'license': {'id': 'cc-by-4.0'},\n",
       "     'relations': {'version': [{'index': 27,\n",
       "        'is_last': True,\n",
       "        'parent': {'pid_type': 'recid', 'pid_value': '8116021'}}]}},\n",
       "    'title': 'divonlan/genozip: 15.0.55',\n",
       "    'links': {'self': 'https://zenodo.org/api/records/10932476',\n",
       "     'self_html': 'https://zenodo.org/records/10932476',\n",
       "     'self_doi': 'https://zenodo.org/doi/10.5281/zenodo.10932476',\n",
       "     'doi': 'https://doi.org/10.5281/zenodo.10932476',\n",
       "     'parent': 'https://zenodo.org/api/records/8116021',\n",
       "     'parent_html': 'https://zenodo.org/records/8116021',\n",
       "     'parent_doi': 'https://zenodo.org/doi/10.5281/zenodo.8116021',\n",
       "     'self_iiif_manifest': 'https://zenodo.org/api/iiif/record:10932476/manifest',\n",
       "     'self_iiif_sequence': 'https://zenodo.org/api/iiif/record:10932476/sequence/default',\n",
       "     'files': 'https://zenodo.org/api/records/10932476/files',\n",
       "     'media_files': 'https://zenodo.org/api/records/10932476/media-files',\n",
       "     'archive': 'https://zenodo.org/api/records/10932476/files-archive',\n",
       "     'archive_media': 'https://zenodo.org/api/records/10932476/media-files-archive',\n",
       "     'latest': 'https://zenodo.org/api/records/10932476/versions/latest',\n",
       "     'latest_html': 'https://zenodo.org/records/10932476/latest',\n",
       "     'draft': 'https://zenodo.org/api/records/10932476/draft',\n",
       "     'versions': 'https://zenodo.org/api/records/10932476/versions',\n",
       "     'access_links': 'https://zenodo.org/api/records/10932476/access/links',\n",
       "     'access_users': 'https://zenodo.org/api/records/10932476/access/users',\n",
       "     'access_request': 'https://zenodo.org/api/records/10932476/access/request',\n",
       "     'access': 'https://zenodo.org/api/records/10932476/access',\n",
       "     'reserve_doi': 'https://zenodo.org/api/records/10932476/draft/pids/doi',\n",
       "     'communities': 'https://zenodo.org/api/records/10932476/communities',\n",
       "     'communities-suggestions': 'https://zenodo.org/api/records/10932476/communities-suggestions',\n",
       "     'requests': 'https://zenodo.org/api/records/10932476/requests'},\n",
       "    'updated': '2024-04-05T13:35:21.981405+00:00',\n",
       "    'recid': '10932476',\n",
       "    'revision': 4,\n",
       "    'files': [{'id': 'f314ad72-0299-4e6f-adb7-05c61b82167a',\n",
       "      'key': 'divonlan/genozip-genozip-15.0.55.zip',\n",
       "      'size': 7939881,\n",
       "      'checksum': 'md5:ceab03eaf8bacb3992487c99705f298d',\n",
       "      'links': {'self': 'https://zenodo.org/api/records/10932476/files/divonlan/genozip-genozip-15.0.55.zip/content'}}],\n",
       "    'owners': [{'id': 577497}],\n",
       "    'status': 'published',\n",
       "    'stats': {'downloads': 4,\n",
       "     'unique_downloads': 4,\n",
       "     'views': 109,\n",
       "     'unique_views': 108,\n",
       "     'version_downloads': 0,\n",
       "     'version_unique_downloads': 0,\n",
       "     'version_unique_views': 0,\n",
       "     'version_views': 0},\n",
       "    'state': 'done',\n",
       "    'submitted': True},\n",
       "   {'created': '2024-04-05T13:33:51.153741+00:00',\n",
       "    'modified': '2024-04-05T13:33:51.372636+00:00',\n",
       "    'id': 10932473,\n",
       "    'conceptrecid': '10932472',\n",
       "    'doi': '10.5281/zenodo.10932473',\n",
       "    'conceptdoi': '10.5281/zenodo.10932472',\n",
       "    'doi_url': 'https://doi.org/10.5281/zenodo.10932473',\n",
       "    'metadata': {'title': 'Raw NMR data for Structural Studies of Alloyed and Nanoparticulate Transition Metal Dichalcogenides by Selenium-77 Solid-State Nuclear Magnetic Resonance Spectroscopy',\n",
       "     'doi': '10.5281/zenodo.10932473',\n",
       "     'publication_date': '2024-04-05',\n",
       "     'description': '<p>Raw NMR data for main text figures.</p>',\n",
       "     'access_right': 'open',\n",
       "     'creators': [{'name': 'Carnahan, Scott',\n",
       "       'affiliation': 'Iowa State University'},\n",
       "      {'name': 'Gi, Eunbyeol', 'affiliation': 'Iowa State University'},\n",
       "      {'name': 'Wagner, Molly', 'affiliation': 'Iowa State University'},\n",
       "      {'name': 'Santhiran, Anuluxan', 'affiliation': 'Iowa State University'},\n",
       "      {'name': 'Vela, Javier', 'affiliation': 'Iowa State University'},\n",
       "      {'name': 'Rossini, Aaron', 'affiliation': 'Iowa State University'}],\n",
       "     'resource_type': {'title': 'Dataset', 'type': 'dataset'},\n",
       "     'license': {'id': 'cc-by-4.0'},\n",
       "     'relations': {'version': [{'index': 0,\n",
       "        'is_last': True,\n",
       "        'parent': {'pid_type': 'recid', 'pid_value': '10932472'}}]}},\n",
       "    'title': 'Raw NMR data for Structural Studies of Alloyed and Nanoparticulate Transition Metal Dichalcogenides by Selenium-77 Solid-State Nuclear Magnetic Resonance Spectroscopy',\n",
       "    'links': {'self': 'https://zenodo.org/api/records/10932473',\n",
       "     'self_html': 'https://zenodo.org/records/10932473',\n",
       "     'self_doi': 'https://zenodo.org/doi/10.5281/zenodo.10932473',\n",
       "     'doi': 'https://doi.org/10.5281/zenodo.10932473',\n",
       "     'parent': 'https://zenodo.org/api/records/10932472',\n",
       "     'parent_html': 'https://zenodo.org/records/10932472',\n",
       "     'parent_doi': 'https://zenodo.org/doi/10.5281/zenodo.10932472',\n",
       "     'self_iiif_manifest': 'https://zenodo.org/api/iiif/record:10932473/manifest',\n",
       "     'self_iiif_sequence': 'https://zenodo.org/api/iiif/record:10932473/sequence/default',\n",
       "     'files': 'https://zenodo.org/api/records/10932473/files',\n",
       "     'media_files': 'https://zenodo.org/api/records/10932473/media-files',\n",
       "     'archive': 'https://zenodo.org/api/records/10932473/files-archive',\n",
       "     'archive_media': 'https://zenodo.org/api/records/10932473/media-files-archive',\n",
       "     'latest': 'https://zenodo.org/api/records/10932473/versions/latest',\n",
       "     'latest_html': 'https://zenodo.org/records/10932473/latest',\n",
       "     'draft': 'https://zenodo.org/api/records/10932473/draft',\n",
       "     'versions': 'https://zenodo.org/api/records/10932473/versions',\n",
       "     'access_links': 'https://zenodo.org/api/records/10932473/access/links',\n",
       "     'access_users': 'https://zenodo.org/api/records/10932473/access/users',\n",
       "     'access_request': 'https://zenodo.org/api/records/10932473/access/request',\n",
       "     'access': 'https://zenodo.org/api/records/10932473/access',\n",
       "     'reserve_doi': 'https://zenodo.org/api/records/10932473/draft/pids/doi',\n",
       "     'communities': 'https://zenodo.org/api/records/10932473/communities',\n",
       "     'communities-suggestions': 'https://zenodo.org/api/records/10932473/communities-suggestions',\n",
       "     'requests': 'https://zenodo.org/api/records/10932473/requests'},\n",
       "    'updated': '2024-04-05T13:33:51.372636+00:00',\n",
       "    'recid': '10932473',\n",
       "    'revision': 4,\n",
       "    'files': [{'id': '6d4b0684-fc65-4a8f-bce2-e0540fe92f3c',\n",
       "      'key': '77Se_raw_data.zip',\n",
       "      'size': 207629894,\n",
       "      'checksum': 'md5:528c9280961a92a4c31073f9e76d54fe',\n",
       "      'links': {'self': 'https://zenodo.org/api/records/10932473/files/77Se_raw_data.zip/content'}}],\n",
       "    'owners': [{'id': 119677}],\n",
       "    'status': 'published',\n",
       "    'stats': {'downloads': 0,\n",
       "     'unique_downloads': 0,\n",
       "     'views': 0,\n",
       "     'unique_views': 0,\n",
       "     'version_downloads': 0,\n",
       "     'version_unique_downloads': 0,\n",
       "     'version_unique_views': 0,\n",
       "     'version_views': 0},\n",
       "    'state': 'done',\n",
       "    'submitted': True},\n",
       "   {'created': '2024-04-05T13:33:36.349941+00:00',\n",
       "    'modified': '2024-04-05T13:33:36.547377+00:00',\n",
       "    'id': 10931273,\n",
       "    'conceptrecid': '10931272',\n",
       "    'doi': '10.1021/acs.jpcc.3c07998',\n",
       "    'doi_url': 'https://doi.org/10.1021/acs.jpcc.3c07998',\n",
       "    'metadata': {'title': 'Interpretation of H2‑TPR from Cu-CHA Using First-Principles Calculations',\n",
       "     'doi': '10.1021/acs.jpcc.3c07998',\n",
       "     'publication_date': '2024-03-08',\n",
       "     'description': '<p>Temperature-programmed reduction and oxidation are used to obtain information on the presence and abundance of different species in complex catalytic materials. The interpretation of the temperature-programmed reaction profiles is, however, often challenging. One example is H2 temperature-programmed reduction (H2-TPR) of Cu-chabazite (Cu-CHA), which is a material used for ammonia assisted selective catalytic reduction of NOx (NH3-SCR). The TPR profiles of Cu-CHA consist generally of three main peaks. A peak at 220 &deg;C is commonly assigned to ZCuOH, whereas peaks at 360 and 500 &deg;C generally are assigned to Z2Cu, where Z represents an Al site. Here, we analyze H2-TPR over Cu-CHA by density functional theory calculations, microkinetic modeling, and TPR measurements of samples pretreated to have a dominant Cu species. We find that H2 can react with Cu ions in oxidation state +2, whereas adsorption on Cu ions in +1 is endothermic. Kinetic modeling of the TPR profiles suggests that the 220 &deg;C peak can be assigned to Z2CuOCu and ZCuOH, whereas the peaks at higher temperatures can be assigned to paired Z2Cu and Z2CuHOOHCu species (360 &deg;C) or paired Z2Cu and Z2CuOOCu (500 &deg;C). The results are in good agreement with the experiments and facilitate the interpretation of future TPR experiments.</p>',\n",
       "     'access_right': 'open',\n",
       "     'creators': [{'name': 'Bjerregaard, Joachim',\n",
       "       'affiliation': 'Department of Physics and Competence Centre for Catalysis, Chalmers University of Technology, SE-412 96 Göteborg, Sweden',\n",
       "       'orcid': '0000-0002-3241-1467'},\n",
       "      {'name': 'Han, Joonsoo',\n",
       "       'affiliation': 'Chemical Engineering and Competence Centre for Catalysis, Chalmers University of Technology, SE41296 Göteborg, Sweden'},\n",
       "      {'name': 'Creaser, Derek',\n",
       "       'affiliation': 'Chemical Engineering and Competence Centre for Catalysis, Chalmers University of Technology, SE 41296 Göteborg, Sweden',\n",
       "       'orcid': '0000-0002-5569-5706'},\n",
       "      {'name': 'Olsson, Louise',\n",
       "       'affiliation': 'Chemical Engineering and Competence Centre for Catalysis, Chalmers University of Technology, SE 41296 Göteborg, Sweden',\n",
       "       'orcid': '0000-0002-8308-0784'},\n",
       "      {'name': 'Grönbeck, Henrik',\n",
       "       'affiliation': 'Department of Physics and Competence Centre for Catalysis, Chalmers University of Technology, SE41296 Göteborg, Sweden',\n",
       "       'orcid': '0000-0002-8709-2889'}],\n",
       "     'dates': [{'type': 'available'}],\n",
       "     'language': 'eng',\n",
       "     'resource_type': {'title': 'Publication', 'type': 'publication'},\n",
       "     'journal': {'issue': '128',\n",
       "      'pages': '4525-3534',\n",
       "      'title': 'The Journal of Physical Chemistry C'},\n",
       "     'license': {'id': 'cc-by-4.0'},\n",
       "     'grants': [{'code': '955839',\n",
       "       'internal_id': '10.13039/501100000780::955839',\n",
       "       'funder': {'name': 'European Commission',\n",
       "        'doi': '10.13039/501100000780',\n",
       "        'acronym': 'EC'},\n",
       "       'title': 'Cu-CHA zeolite-based catalysts for the selective catalytic reduction of NOx in exhaust diesel gas: addressing the issue of Sulfur Stability',\n",
       "       'acronym': 'CHASS',\n",
       "       'program': 'H2020',\n",
       "       'url': 'https://cordis.europa.eu/projects/955839'}],\n",
       "     'communities': [{'id': 'chassproject'}],\n",
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       "        'parent': {'pid_type': 'recid', 'pid_value': '10931272'}}]}},\n",
       "    'title': 'Interpretation of H2‑TPR from Cu-CHA Using First-Principles Calculations',\n",
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       "   {'created': '2024-04-05T13:33:29.896469+00:00',\n",
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       "    'id': 10932007,\n",
       "    'conceptrecid': '10932006',\n",
       "    'doi': '10.5281/zenodo.10932007',\n",
       "    'conceptdoi': '10.5281/zenodo.10932006',\n",
       "    'doi_url': 'https://doi.org/10.5281/zenodo.10932007',\n",
       "    'metadata': {'title': 'Voorjaarsvallen Aziatische hoornaar met behulp van burgerwetenschap.',\n",
       "     'doi': '10.5281/zenodo.10932007',\n",
       "     'publication_date': '2024-04-05',\n",
       "     'description': '<p>Deze dataset is verzameld met behulp van burgers die hebben deelgenomen aan het project &lsquo;Voorjaarsvallen Aziatische hoornaar - een studie rond effectiveit en bijvangst&rsquo; op MijnTuinlab. Meer info over dit project vind je via volgende link:&nbsp;<a href=\"https://mijntuinlab.be/projects/27/\" target=\"_blank\" rel=\"noopener\">https://mijntuinlab.be/projects/27/</a>.</p>\\n<p><br>Deze studie is een samenwerking tussen de Vlaamse overheid, Natuurpunt en de vzw Limburgse Imkersbond, die vallen verdeelt i.k.v. hun eigen project binnen het <a href=\"https://lv.vlaanderen.be/nieuws/zeven-bijenprojecten-krijgen-steun-kader-van-strategisch-plan-bijenteelt-2023-2027\" target=\"_blank\" rel=\"noopener nofollow noreferrer\">Strategisch Plan Bijenteelt</a>. Heb je specifieke vragen over dit onderzoek naar de effectiviteit en bijvangst van de voorjaarsvallen, dan kan je terecht bij <a href=\"mailto:vespawatch@inbo.be\" target=\"_blank\" rel=\"noopener\">vespawatch@inbo.be</a>.</p>',\n",
       "     'access_right': 'open',\n",
       "     'creators': [{'name': 'Jasmijn, Hillaert',\n",
       "       'affiliation': 'Research Institute for Nature and Forest',\n",
       "       'orcid': '0000-0002-3761-8846'},\n",
       "      {'name': 'Devisscher, Sander',\n",
       "       'affiliation': 'Research Institute for Nature and Forest',\n",
       "       'orcid': '0000-0003-2015-5731'},\n",
       "      {'name': 'Delva, Soria',\n",
       "       'affiliation': 'Research Institute for Nature and Forest',\n",
       "       'orcid': '0000-0002-7164-6031'},\n",
       "      {'name': 'Peiten, Cato', 'affiliation': 'Agentschap voor Natuur en Bos'},\n",
       "      {'name': 'Pardon, Nicolas',\n",
       "       'affiliation': 'Agentschap voor Natuur en Bos'},\n",
       "      {'name': 'Adriaens, Tim',\n",
       "       'affiliation': 'Research Institute for Nature and Forest',\n",
       "       'orcid': '0000-0001-7268-4200'}],\n",
       "     'contributors': [{'name': 'Limburgse imkerbond',\n",
       "       'affiliation': None,\n",
       "       'type': 'DataCollector'},\n",
       "      {'name': 'Natuurpunt', 'affiliation': None, 'type': 'ResearchGroup'},\n",
       "      {'name': 'MijnTuinlab', 'affiliation': None, 'type': 'DataManager'},\n",
       "      {'name': 'provincie West-Vlaanderen',\n",
       "       'affiliation': None,\n",
       "       'type': 'DataCollector'},\n",
       "      {'name': 'provincie Antwerpen',\n",
       "       'affiliation': None,\n",
       "       'type': 'DataCollector'},\n",
       "      {'name': 'regionaal landschap houtland en polders',\n",
       "       'affiliation': None,\n",
       "       'type': 'DataCollector'}],\n",
       "     'keywords': ['Vespa velutina',\n",
       "      'Citizen science',\n",
       "      'Aziatische hoornaar',\n",
       "      'Selective traps',\n",
       "      'Selectieve vallen',\n",
       "      'Asian hornet',\n",
       "      'Lenteval',\n",
       "      'Voorjaarsval',\n",
       "      'Spring traps',\n",
       "      'Burgerwetenschap'],\n",
       "     'references': ['https://mijntuinlab.be/projects/27/'],\n",
       "     'language': 'nld',\n",
       "     'resource_type': {'title': 'Dataset', 'type': 'dataset'},\n",
       "     'license': {'id': 'cc-by-4.0'},\n",
       "     'relations': {'version': [{'index': 0,\n",
       "        'is_last': True,\n",
       "        'parent': {'pid_type': 'recid', 'pid_value': '10932006'}}]}},\n",
       "    'title': 'Voorjaarsvallen Aziatische hoornaar met behulp van burgerwetenschap.',\n",
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       "   {'created': '2024-04-05T13:32:26.561873+00:00',\n",
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       "    'id': 10932471,\n",
       "    'conceptrecid': '10932470',\n",
       "    'doi': '10.5281/zenodo.10932471',\n",
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       "    'doi_url': 'https://doi.org/10.5281/zenodo.10932471',\n",
       "    'metadata': {'title': 'Globigerinoidesella fistulosa',\n",
       "     'doi': '10.5281/zenodo.10932471',\n",
       "     'publication_date': '2019-05-07',\n",
       "     'description': '<i>Globigerinoidesella fistulosa</i> (Schubert, 1910)   <p>(Figs 11K&ndash;P, 12A&ndash;C, F&ndash;L, 13, 14B&ndash;G, 15D&ndash;F, 16F)</p>  <p> 1910 <i>Globigerina fistulosa</i> Schubert: 324, text-fig. 2.</p>   <p> 1911 <i>Globigerina fistulosa</i> Schubert; Schubert: 100, text-fig. 13a&ndash;c.</p>   <p> 1933 <i>Globigerinoides sacculifera</i> var. <i>fistulosa</i> (Schubert, 1910); Cushman: [pages not numbered], pl. 34, fig. 6a&ndash;c [locality not given].</p>   <p> 1954 <i>Globigerinoides sacculifera</i> var. <i>fistulosa</i> (Schubert, 1910); Cushman, Todd &amp; Post: 369, pl. 91, fig. 13.</p>   <p> 1954 <i>Globigerinoides sacculifera</i> var. <i>fistulosa</i> (Schubert, 1910); Hamilton &amp; Rex: 792, pl. 254, fig. 14.</p>   <p> 1962 <i>Globigerinoides quadrilobatus fistulosus</i> (Schubert, 1910); Belford: 16, pl. 4, figs 7&ndash;10.</p>   <p> 1962 <i>Globigerinoides quadrilobatus hystricosus</i> Belford: 17, pl. 4, figs 11&ndash;14.</p>   <p> 1964 <i>Globigerinoides sacculifer fistulosa</i> (Schubert, 1910); Todd: 1084, pl. 290, fig. 6.</p>   <p> 1965 <i>Globigerinoides sacculifer fistulosa</i> (Schubert, 1910); Todd: 64, pl. 26, fig. 3a&ndash;c.</p>   <p> 1966 <i>Globigerinoides quadrilobatus fistulosus</i> (Schubert, 1910); McTavish: 35, pl. 7, figs 14, 17, 18.</p>   <p> 1967 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Parker: 154, pl. 21, figs 3, 5, 6, text-fig. 4a&ndash;d.</p>   <p> 1970 <i>Globigerinoides trilobus fistulosus</i> (Schubert, 1910); Bolli: 579, pl. 1, figs 8&ndash;11.</p>   <p> 1970 <i>Globigerinoides trilobus</i> &lsquo;A&rsquo; (Reuss, 1850); Bolli: 579, pl. 1, figs 12&ndash;17.</p>   <p> 1972 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Jenkins &amp; Orr (part): 1092, pl. 13, figs 1&ndash;4 [not pl. 13, figs 5&ndash;9 = <i>T</i>. <i>sacculifer</i>].</p>   <p> 1972 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Lamb &amp; Beard (part): 48, pl. 31, figs 4, 7 [not pl. 31, fig. 8 = <i>T</i>. <i>sacculifer</i>].</p>   <p> 1973 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Krasheninnikov &amp; Hoskins: 130, pl. 13, figs 10&ndash;12.</p>   <p> 1974 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Boltovskoy: 704, pl. 5, fig. 16.</p>   <p> 1978 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Krasheninnikov &amp; Pflaumann: 625, pl. 4, figs 7&ndash;9.</p>   <p> 1979 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Takayanagi, Takayama, Sakai, Oda, &amp; Kato: 78, pl. 1, figs 1, 2.</p>   <p> 1981 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Saito, Thompson, &amp; Breger: 68&ndash;69, pl. 18, figs 1&ndash;3.</p>   <p> 1983 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Kennett &amp; Srinivasan: 67&ndash;68, pl. 14, figs 7&ndash;9.</p>   <p> 1983 <i>Globigerinoides quadrilobatus fistulosus</i> (Schubert, 1910); Moullade: 526, pl. 1, figs 12, 13.</p>   <p> 1985 <i>Globigerinoides trilobus fistulosus</i> (Schubert, 1910); Bolli &amp; Saunders: 197, text-figs 5&ndash;11.</p>   <p> 1985 <i>Globigerinoides trilobus</i> &lsquo;A&rsquo; (Reuss, 1850); Bolli &amp; Saunders: 197, text-figs 22.1&ndash;22.3 [note: figures are reproductions of pl. 1, figs 12&ndash;14 from Bolli 1970 (see above)].</p>   <p> 1985 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Ujii&eacute;: 110, pl. 5, fig. 1.</p>   <p> 1986 <i>Orbulina quadrilobata</i> (d&rsquo; Orbigny, 1846); Fordham: 102, pl. 11, fig. 19.</p>   <p> 1987 <i>Globigerinoidesella fistulosa</i> (Schubert, 1910); Loeblich &amp; Tappan: 490, pl. 536, figs 7, 8 [note: figures are reproductions from Jenkins &amp; Orr (1972); pl. 13, figs 2, 3].</p>   <p> 1990 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Vincent &amp; Tourmarkine (part): 800, pl. 2, figs 1, 2 [note: not pl. 2, fig. 3 = <i>T</i>. <i>sacculifer</i>].</p>   <p> 1991 <i>Globigerinoides quadrilobatus fistulosus</i> (Schubert, 1910): Chaproniere: 212, pl. 3, figs 1&ndash;3.</p>   <p> 1993 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Chaisson &amp; Leckie: 158, pl. 2, fig. 4.</p>   <p> 1994 <i>Globigerinoides quadrilobatus fistulosus</i> (Schubert, 1910); Chaproniere &amp; Nishi: 224, pl. 4, figs 25&ndash;27.</p>   <p> 1994 <i>Globigerinoidesella bollii</i> Loeblich &amp; Tappan: 107, pl. 207, figs 4&ndash;6.</p>   <p> 1994 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Perembo (part): pl. 4, fig. 6 [note: not pl. 4, fig. 5 = <i>T</i>. <i>sacculifer</i>].</p>   <p> 1995 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Pearson: 59, pl. 5, fig. 7.</p>   <p> 2007 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Dowsett &amp; Robinson: 118, pl. 2, fig. 3.</p>   <p> 2013 <i>Globigerinoides fistulosus</i> (Schubert, 1910); Hayashi, Idemitsu, Wade, Idehara, Kimoto, Nishi, &amp; Matsui: 98, fig. 6.4a&ndash;6.4b.</p>   <p> <b>Description.</b> Type of wall: normal perforate, spinose, cancellate &lsquo; <i>sacculifer</i> -type&rsquo; wall texture. However, note the &lsquo; <i>sacculifer</i> -type&rsquo; wall texture is commonly obscured by a heterogeneous secondary, &lsquo;gametogenic&rsquo; calcite, particularly on the distal ends of protuberances. Test morphology: test size large (typically&gt; 0.5 mm), medium trochospire, becoming more highly trochospire in larger specimens, initially involute but coiling later becomes evolute and expansive to accommodate large final chambers; typically four chambers in the final whorl (may be three and a half or rarely four and a half); early chambers globular, inflated, but last chamber or multiple chambers in the final whorl usually become broad and flattened, extended radially and/or tangentially, with one to numerous elongate protuberances of variable size extending outward from test, generally in one plane, forming an extremely lobulate profile; sutures distinct, depressed, straight to slightly curved on both sides; open umbilicus, moderate to large; primary aperture umbilical, may be umbilical-extraumbilical, a broad, low to moderate arch, arch shape often flattened and asymmetrical, with bordering lip or imperforate band; numerous supplementary apertures on spiral side, usually four or five visible, one per chamber, placed at the sutures of the previous chamber and third-previous chamber, the largest of which may also exhibit a lip or imperforate band, smallest supplementary apertures often obscured by infilling and/or secondary calcification.</p>   <p> Note: description derives from the original description and species concept of Schubert (1910, p. 324) and also from Schubert (1911, pp. 100&ndash;101), Saito <i>et al</i>. (1981, p. 68) and Kennett &amp; Srinivasan (1983, p. 68), but is here emended.</p>   <p> <b>Remarks.</b> <i>Globigerinoidesella fistulosa</i> is distinguished from the ancestral <i>Trilobatus sacculifer</i> plexus (<i>T</i>. <i>sacculifer</i>, <i>T</i>. <i>quadrilobatus</i>, <i>T</i>. <i>immaturus</i> and <i>T</i>. <i>trilobus</i>) by the presence of one or more elongate protuberances on the final chamber or chambers and its generally larger test size. It is differentiated from other digitate species by its strictly <i>sacculifer</i> - type wall texture and by usually possessing numerous protuberances on individual chambers, rather than just one protuberance per chamber or an elongated chamber.</p>   <p> <b>Type locality.</b> First described from a <i>Globigerina</i> &lsquo; Marl&rsquo; located at Siminis on Djaul Island, just off New Ireland, Papua New Guinea.</p>   <p> <b>Taxonomic history.</b> Schubert (1910, p. 324) named <i>Globigerina fistulosa</i>, commenting on the elongate protuberances as the characteristic feature. Indeed, the derivation of the species name <i>fistulosa</i> is from the Latin &lsquo; <i>fistula</i> &rsquo; denoting a hollow tube or pipe, where &lsquo; <i>fistulosa</i> &rsquo; is to bear numerous <i>fistula</i>. The new species was named within a text section devoted to <i>Globigerina sacculifera</i> Brady, 1877 (= <i>Trilobatus sacculifer</i>), and Schubert (1910) probably thought the two morphotypes to be closely related. He illustrated (Schubert 1910, text-fig. 2) the spiral side of a single <i>G</i>. <i>fistulosa</i> specimen, which exhibits distinct protuberances on the final two chambers. In a subsequent publication, Schubert (1911, pp. 100&ndash;101, fig. 13) provided further description and illustrations of three other <i>G</i>. <i>fistulosa</i> specimens, also from the New Ireland area of Papua New Guinea. Though it appears no holotype or suite of type specimens was ever designated or deposited for the new species.</p>   <p> After Cushman (1927, p. 87) erected the genus, <i>Globigerinoides</i>, to encompass forms with supplementary apertures on the spiral side, subsequent workers accordingly placed <i>fistulosa</i> into <i>Globigerinoides</i>, often as a subspecies of <i>sacculifer</i>, <i>trilobus</i> or <i>quadrilobatus</i> (see synonymy list). El-Naggar (1971) considered the digitate protuberances to be a genus-level character, thus erecting <i>Globigerinoidesella</i> as a new genus, distinct from <i>Globigerinoides</i> (see above for discussion of <i>Globigerinoidesella</i>).</p>   <p> Belford (1962, pl. 4, figs 7&ndash;10) documented <i>Globigerinoides quadrilobatus fistulosus</i> from Papua New Guinea, but also named a new subspecies, <i>Globigerinoides quadrilobatus hystricosus</i> (pl. 4, figs 11&ndash;14), which also exhibits protuberances. Most authors place <i>hystricosus</i> in synonymy with <i>fistulosa</i>, as is the case in the present work, but several authors have erroneously used the name &lsquo; <i>hystricosus</i> &rsquo; to represent intermediate forms with incipient protuberances (i.e. a transitional morphotype with intermediate morphology between <i>sacculifer</i> and <i>fistulosa</i>; e.g. Saito <i>et al</i>. 1981; Hemleben <i>et al</i>. 1987; Loeblich &amp; Tappan 1994). However, Belford&rsquo; s (1962) original type figures clearly exhibit large protuberances, rather than a transitional specimen. In fact, Belford (1962) named <i>hystricosus</i> as a new subspecies to account for specimens where the protuberances develop from globular, inflated chambers, rather than from the flattened, sac-like chambers of <i>T</i>. <i>sacculifer</i>. This observation led Belford (1962) to infer two distinct lineages, whereby protuberances developed from <i>T</i>. <i>sacculifer</i> and <i>T</i>. <i>immaturus</i> independently. A sac-like chamber is clearly not a prerequisite for protuberance development; illustrative examples exist in Bolli &amp; Saunders (1985, text-figs 22.5&ndash;22.7), Perembo (1994, pl. 4, fig. 6) and this study (Fig. 15A&ndash;E). However, these specimens are generally smaller than <i>G</i>. <i>fistulosa</i> <i>sensu stricto</i>; it is likely that the protuberances simply developed earlier in ontogeny and no sac-like chamber was ever developed. Even in <i>G</i>. <i>fistulosa</i> <i>sensu stricto</i> specimens, protuberances develop from both globular chambers and sac-like chambers (see Fig. 13). No evidence is found in this work for two independent lineages. Rather, the observation that protuberance development occurs in more than one member of the <i>T</i>. <i>sacculifer</i> plexus, not just <i>T</i>. <i>sacculifer</i> <i>sensu stricto</i>, is possibly the first substantial fossil evidence to support that they are the same biological species. This corroborates with the culturing (e.g. Hemleben <i>et al</i>. 1987) and molecular genetic (Andŕe <i>et al</i>. 2013) evidence which suggests that all members of the <i>T</i>. <i>sacculifer</i> plexus are the same (biological) species.</p>   <p> Loeblich &amp; Tappan (1994) named a new species, <i>Globigerinoidesella bollii</i>, for morphotypes which form protuberances extending in more than one plane, based on specimens of <i>Globigerinoides trilobus</i> &lsquo;A&rsquo; from Bolli (1970) and Bolli &amp; Saunders (1985). <i>Globigerinoidesella bollii</i> is also here considered synonymous with <i>G</i>. <i>fistulosa</i>, and has not been documented in publications after Loeblich &amp; Tappan (1994). Although <i>G</i>. <i>fistulosa</i> does exhibit wide morphological variability, there is little stratigraphical value in delimiting <i>G</i>. <i>fistulosa</i> into multiple morphospecies. <i>Globigerinoidesella</i> is therefore regarded as monospecific, in accordance with El-Naggar (1971) and Spezzaferri <i>et al</i>. (2015).</p>   <p> <b>Protuberance development.</b> <i>Globigerinoidesella fistulosa sensu stricto</i> is a very distinctive taxon, possessing broad, flattened final chambers and finger-like protuberances. These features generally make identification of this species straightforward. However, intermediate forms are present throughout the entire range of <i>G</i>. <i>fistulosa</i> (mid-Pliocene to Pleistocene). In fact, intermediate forms with incipient protuberances occur in cultured specimens and are regularly present in Pleistocene to Recent assemblages (see Fig. 10), although they are much rarer than during the stratigraphical range of <i>G</i>. <i>fistulosa</i>. This observation forms the basis of the delimitation between <i>G</i>. <i>fistulosa</i> and <i>T</i>. <i>sacculifer</i> in this work. Samples from the GLOW Expedition (Kroon &amp; Scientific Participants 2010) are used to determine the maximum protuberance development in Recent <i>T</i>. <i>sacculifer</i> plexus populations as a tool for delimiting the threshold between morphospecies. Since the last occurrence of <i>G</i>. <i>fistulosa</i> is in the early Pleistocene (Zone PT1), protuberance development should not occur in Recent specimens. Figure 10 highlights examples of protuberance development in specimens from the GLOW-3 sample and also from previous culturing studies (B́e et al. 1982; Brummer <i>et al</i>. 1987; Hemleben <i>et al</i>. 1987). These specimens are not considered <i>G</i>. <i>fistulosa</i>, but rather extreme phenotypes of <i>T</i>. <i>sacculifer</i>. Therefore, analogous specimens from the Pliocene&ndash;Pleistocene should not be considered <i>G</i>. <i>fistulosa</i> or else the stratigraphical range would effectively be extended to Recent and the biostratigraphical utility lost.</p>   <p> Protuberance development is also associated with thick &lsquo;crust&rsquo; development on the distal ends of protuberances, which obscures the primary wall texture (Fig. 14). In many cases the spine holes and pores are completely obscured (e.g. Fig. 14C). However, spine holes were observed on some protuberances (e.g. Fig. 14B). These are the first spine holes discovered on <i>G</i>. <i>fistulosa</i> protuberances, which demonstrate that protuberances were spinose during life. This would have increased the effective size and surface area of the organism and may have enabled larger or more successful prey capture.</p>   <p> As described in the systematic taxonomy, protuberance development can occur on morphotypes that would otherwise be assigned to <i>T</i>. <i>immaturus</i> or <i>T</i>. <i>quadrilobatus</i>. This is illustrated in Figure 15, where single protuberances have developed from spherical final chambers, rather than from sac-like final chambers. Figure 15A and B, C are considered <i>T</i>. <i>quadrilobatus</i> and <i>T</i>. <i>immaturus</i>, respectively, but once protuberance development increases (Fig. 15D&ndash;F), the specimens are regarded as <i>Globigerinoidesella fistulosa</i>. Note that these specimens are all from the same sample at Site 1115, and do not indicate an evolutionary bioseries, but rather illustrate the degree of protuberance development that can occur from spherical final chambers. Whilst most protuberance development occurs on sac-like final chambers, this is not a prerequisite, as highlighted by specimens in Figure 15.</p>',\n",
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       "     'references': ['Schubert, R. J. 1910. Uber ¨ Foraminiferen und einen Fischotolithen aus dem fossilen Globigerinenschlamm von Neu-Guinea. Verhandlungen der Kaiserlich-Koniglichen Geologischen Reichsanstalt, 14, 318 - 328.',\n",
       "      'Reuss, A. E. 1850. Neue Foraminiferen aus den Schichten des osterreichischen Terti ¨ arbeckens. Denkschriften der Kaiserlichen Akademie der Wissenschaften, Mathematisch-Naturwissenschaftliche Classe, 1, 365 - 390.',\n",
       "      'Bolli, H. M. 1970. The foraminifera of Sites 23 - 31, Leg 4. Pp. 577 - 643 in R. G. Bader, R. D. Gerard, W. E. Benson, H. M. Bolli, W. W. Hay, W. T. Rothwell Jr., M. H. Ruef, W. R. Riedel & F. L. Sayles (eds) Initial Reports of the Deep Sea Drilling Project. US Government Printing Office, Washington DC, 4.',\n",
       "      \"d' Orbigny, A. 1846. Foraminif`eres fossils du Bassin tertiaire de Vienne (Autriche). Gide et Comp, Paris, 312 pp.\",\n",
       "      'Jenkins, D. G. & Orr, W. N. 1972. Planktonic foraminiferal biostratigraphy of the eastern equatorial Pacific - DSDP Leg 9. Pp. 1059 - 1193 in J. D. Hays, H. E. Cook III, D. G. Jenkins, F. M. Cook, J. T. Fuller, R. M. Goll, E. D. Milow & W. N. Orr (eds) Initial Reports of the Deep Sea Drilling Project. US Government Printing Office, Washington, DC, 9.',\n",
       "      'Schubert, R. J. 1911. Die fossilen foraminiferen des Bismarcksarchipels und einiger angrenzender Inseln. Abhandlungen der Kaiserlich-Koniglichen Geologischen Reichsanstalt, 20, 1 - 130.',\n",
       "      'Saito, T., Thompson, P. R. & Breger, D. 1981. Systematic index of Recent and Pleistocene planktonic Foraminifera. University of Tokyo Press, Tokyo, 190 pp.',\n",
       "      'Kennett, J. P. & Srinivasan, M. S. 1983. Neogene planktonic Foraminifera, a phylogenetic atlas. Hutchinson Ross, Stroudsburg, Pennsylvania, 265 pp.',\n",
       "      'Brady, H. B. 1877. Supplementary note on the Foraminifera of the Chalk (?) of the New Britain Group. Geological Magazine, New Series, Decade 2, 4, 534 - 536.',\n",
       "      'Cushman, J. A. 1927. An outline of the re-classification of the foraminifera. Contributions from the Cushman Laboratory for Foraminiferal Research, 3, 1 - 105.',\n",
       "      'El-Naggar, Z. R. 1971. On the classification, evolution and stratigraphical distribution of the Globigerinacea. Pp. 421 - 476 in A. Forinacci (ed.) Proceedings of the II planktonic conference, Roma 1970. Technoscienza, Rome.',\n",
       "      'Belford, D. J. 1962. Miocene and Pliocene planktonic Foraminifera, Papua-New Guinea. Australian Bureau of Mineral Resources, Geology and Geophysics Bulletin, 62, 1 - 50.',\n",
       "      'Hemleben, C., Spindler, M., Breitinger, I. & Ott, R. 1987. Morphological and physiological responses of Globigerinoides sacculifer (Brady) under varying laboratory conditions. Marine Micropaleontology, 12, 305 - 324.',\n",
       "      'Loeblich, A. R. & Tappan, H. 1994. Foraminifera of the Sahul shelf and Timor Sea. Cushman Foundation for Foraminiferal Research, Special Publication, 31, 1 - 661.',\n",
       "      'Bolli, H. M. & Saunders, J. B. 1985. Oligocene to Holocene low latitude planktic foraminifera. Pp. 155 - 262 in H. M. Bolli, J. B. Saunders & K. Perch-Nielsen (eds) Plankton stratigraphy. Cambridge University Press, Cambridge.',\n",
       "      'Perembo, R. C. B. 1994. Miocene to Pliocene planktonic foraminifers from the North Aoba Basin, Site 832. Pp. 247 - 263 in J. - Y. Collot, H. G. Greene, L. B. Stokking, K. Akimoto, M. V. S. Ask, P. E. B. Baker, L. T. Chabernaud, M. G. Collins, M. Coltori, M. A. Fisher, T. Hasenaka, M. A. Hobart, A. Krammer, J. N. Leonard, J. B. Martin, J. I. Martinez-Rodriguez, S. Menger, M. Meschede, B. Pelletier, R. C. B. Perembo, T. M. Quinn, P. Reid, W. R. Riedel, P. Roperch, T. S. Staerker, F. W. Taylor & X. Zhao (eds) Proceedings of the Ocean Drilling Program, Scientific Results. Ocean Drilling Program, College Station, TX, 134.',\n",
       "      \"Spezzaferri, S., Kucera, M., Pearson, P. N., Wade, B. S., Rappo, S., Poole, C. R., Morard, R. & Stalder, C. 2015. Fossil and genetic evidence for the polyphyletic nature of the planktonic Foraminifera ' Globigerinoides ', and description of the new genus Trilobatus. PLoS ONE, 10, e 0128108.\",\n",
       "      'Kroon, D. & Scientific Participants 2010. Tropical Temperature History during Paleogene Global Warming (GLOW) Events. Site Survey Cruise Report, 151 pp.',\n",
       "      \"Brummer, G. - J. A., Hemleben, C. & Spindler, M. 1987. Ontogeny of extant spinose planktonic foraminifera (Globigerinidae): a concept exemplified by Globigerinoides sacculifer (Brady) and G. ruber (d' Orbigny). Marine Micropaleontology, 12, 357 - 381.\"],\n",
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       "     'description': '<p> Genus <i>Globigerinoidesella</i> El-Naggar, 1971</p>   <p> <b>Type species.</b> <i>Globigerina fistulosa</i> Schubert, 1910.</p>   <p> <b>Diagnosis.</b> Type of wall: normal perforate, spinose, cancellate &lsquo; <i>sacculifer</i> -type&rsquo; wall texture, though the &lsquo; <i>sacculifer</i> -type&rsquo; wall texture is commonly obscured by secondary, &lsquo;gametogenic&rsquo; calcite, heterogeneously distributed around the test, and particularly concentrated on the distal ends of protuberances. Test morphology: trochospiral, typically four chambers in the final whorl. Adult chambers increasing rapidly in size in the final whorl, initially globular and inflated, with final chambers becoming broad and flattened, possessing one or multiple digitate protuberances on individual chambers; sutures distinct, depressed, straight to slightly curved on both sides; open umbilicus, moderate to large; primary aperture typically umbilical, a broad, low to moderate arch with bordering lip or imperforate band; multiple supplementary apertures on spiral side, four to five visible, one per chamber, situated centrally at the sutures of the previous and third-previous chambers.</p>   <p> Note: diagnosis derives from the original genus concept of El-Naggar (1971), and also that of Banner (1982), Loeblich &amp; Tappan (1987) and Spezzaferri <i>et al</i>. (2015, table 2).</p>   <p> <b>Remarks.</b> <i>Globigerinoidesella</i> El-Naggar, 1971 is distinguished from its ancestral genus <i>Trilobatus</i> Spezzaferri <i>et al</i>., 2015 and also <i>Globigerinoides</i> Cushman, 1927 by the development of one to numerous elongate (&lsquo;finger-like&rsquo;) protuberances on the final one to five chambers. The test size is also generally greater than in <i>Trilobatus</i> or <i>Globigerinoides</i>. Other digitate genera differ in generally possessing only one extension per chamber or simply displaying whole-chamber elongation (without distinct protuberances).</p>   <p> <b>Taxonomic history.</b> El-Naggar (1971) proposed a revised classification for the superfamily Globigerinacea, in which radially elongated tests and/or chambers (i.e. &lsquo;digitate&rsquo; forms) were considered a generic-level distinguishing character. Whilst other unrelated genera have been proposed and defined by being digitate, and thus contain exclusively digitate morphospecies, the genus <i>Globigerinoides</i> Cushman, 1927 traditionally encompassed both non-digitate morphospecies and the digitate <i>Globigerinoides fistulosus</i> (Schubert, 1910). Therefore, El-Naggar (1971) proposed the new genus <i>Globigerinoidesella</i> to separate <i>fistulosus</i> from the rest of the non-digitate <i>Globigerinoides</i> morphospecies. El-Naggar (1971) considered the new genus to be monospecific, containing solely <i>G</i>. <i>fistulosa</i> (Schubert, 1910).</p>   <p> Loeblich &amp; Tappan (1994) recognized two further species of <i>Globigerinoidesella</i>. They transferred Belford&rsquo; s (1962) <i>Globigerinoides quadrilobatus hystricosus</i> to <i>Globigerinoidesella</i> (i.e. <i>Globigerinoidesella hystricosa</i>) as a &ldquo;phylogenetically primitive&rdquo; form of the more developed <i>G</i>. <i>fistulosa</i>. Their <i>G</i>. <i>hystricosa</i> is intermediate in morphology between <i>G</i>. <i>fistulosa</i> <i>sensu stricto</i> and <i>T</i>. <i>sacculifer</i>. They also named a new species, <i>Globigerinoidesella bollii</i> Loeblich &amp; Tappan, 1994, based on the <i>G</i>. <i>trilobus</i> &lsquo;A&rsquo; specimens of Bolli (1970) and an additional specimen from Tappan &amp; Loeblich (1982). Their <i>G</i>. <i>bollii</i> form differed from <i>G</i>. <i>hystricosa</i> and <i>G</i>. <i>fistulosa</i> in possessing protuberances that projected in more than one plane (i.e. protruding in different directions). It was also an unfortunate species name selection, as a separate morphospecies had already been described as <i>Globigerinoides bollii</i> by Blow (1959).</p>   <p> Despite these three forms being proposed as species of <i>Globigerinoidesella</i>, El-Naggar&rsquo; s (1971) genus concept was not adhered to or accepted by many workers, though notable exceptions include Loeblich &amp; Tappan (1987, 1994) and Hanagata &amp; Nobuhara (2015). Essentially, subsequent publications did not accept <i>Globigerinoidesella</i>, continuing to refer to <i>fistulosa</i> as a species of <i>Globigerinoides</i> (i.e. <i>Globigerinoides fistulosus</i>). Most workers have also not accepted <i>G</i>. <i>bollii</i> and <i>G</i>. <i>hystricosa</i> as valid morphospecies either; specimens of equivalent morphology to Loeblich &amp; Tappan&rsquo; s <i>hystricosa</i> and <i>bollii</i> concepts have generally been referred to as <i>Globigerinoides fistulosus</i>.</p>   <p> Spezzaferri <i>et al</i>. (2015) recently re-introduced <i>Globigerinoidesella</i> following El-Naggar&rsquo; s (1971) original concept and considered <i>G</i>. <i>fistulosa</i> the sole species. In this study, <i>Globigerinoidesella</i> is also recognized as a distinct genus following El-Naggar (1971) and Spezzaferri <i>et al</i>. (2015). It is here regarded as monospecific, as <i>Globigerinoidesella bollii</i> and <i>Globigerinoidesella hystricosa</i> are considered synonymous with <i>G</i>. <i>fistulosa</i>. Therefore, <i>G</i>. <i>fistulosa</i> is the type and only species.</p>   <p> <b>Stratigraphical range.</b> Middle Pliocene to early Pleistocene (Zone PL 3 [Atlantic]/ PL 5 [Pacific] to Zone PT1) (Wade <i>et al</i>. 2011).</p>',\n",
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       "     'references': ['El-Naggar, Z. R. 1971. On the classification, evolution and stratigraphical distribution of the Globigerinacea. Pp. 421 - 476 in A. Forinacci (ed.) Proceedings of the II planktonic conference, Roma 1970. Technoscienza, Rome.',\n",
       "      'Schubert, R. J. 1910. Uber ¨ Foraminiferen und einen Fischotolithen aus dem fossilen Globigerinenschlamm von Neu-Guinea. Verhandlungen der Kaiserlich-Koniglichen Geologischen Reichsanstalt, 14, 318 - 328.',\n",
       "      'Banner, F. T. 1982. A classification and introduction to the Globigerinacea. Pp. 142 - 239 in F. T. Banner & H. H. Lord (eds) Aspects of micropaleontology. George Allen and Unwin, London.',\n",
       "      'Loeblich, A. R. & Tappan, H. 1987. Foraminiferal genera and their classification. Van Nostrand Reinhold, New York, 970 pp.',\n",
       "      \"Spezzaferri, S., Kucera, M., Pearson, P. N., Wade, B. S., Rappo, S., Poole, C. R., Morard, R. & Stalder, C. 2015. Fossil and genetic evidence for the polyphyletic nature of the planktonic Foraminifera ' Globigerinoides ', and description of the new genus Trilobatus. PLoS ONE, 10, e 0128108.\",\n",
       "      'Cushman, J. A. 1927. An outline of the re-classification of the foraminifera. Contributions from the Cushman Laboratory for Foraminiferal Research, 3, 1 - 105.',\n",
       "      'Loeblich, A. R. & Tappan, H. 1994. Foraminifera of the Sahul shelf and Timor Sea. Cushman Foundation for Foraminiferal Research, Special Publication, 31, 1 - 661.',\n",
       "      'Bolli, H. M. 1970. The foraminifera of Sites 23 - 31, Leg 4. Pp. 577 - 643 in R. G. Bader, R. D. Gerard, W. E. Benson, H. M. Bolli, W. W. Hay, W. T. Rothwell Jr., M. H. Ruef, W. R. Riedel & F. L. Sayles (eds) Initial Reports of the Deep Sea Drilling Project. US Government Printing Office, Washington DC, 4.',\n",
       "      'Tappan, H. & Loeblich, A. R. J. 1982. Granuloreticulosa. Pp. 527 - 552 in S. P. Parker (ed.) Synopsis and classification of living organisms. McGraw-Hill Company, New York.',\n",
       "      'Blow, W. H. 1959. Age, correlation, and biostratigraphy of the upper Tocuyo (San Lorenzo) and Pozon formations, eastern Falcon, Venezuela. Bulletins of American Paleontology, 39, 67 - 251.',\n",
       "      'Hanagata, S. & Nobuhara, T. 2015. Illustrated guide to Pliocene foraminifera of Miyakojima, Ryukyu Island Arc, with comments on biostratigraphy. Palaeontologia Electronica, 18.1.3 A, 1 - 140.',\n",
       "      'Wade, B. S., Pearson, P. N., Berggren, W. A. & P ¨ alike, H. 2011. Review and revision of Cenozoic tropical planktonic foraminiferal biostratigraphy and calibration to the geomagnetic polarity and astronomical time scale. Earth- Science Reviews, 104, 111 - 142.'],\n",
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       "     'description': '<i>Trilobatus sacculifer</i> (Brady, 1877)   <p>(Figs 8L&ndash;P, 9, 10, 11A&ndash;J, 12D, E, 14A, 16A&ndash;D, 17D, H)</p>  <p> 1862 <i>Globigerina helicina</i> d&rsquo; Orbigny; Carpenter, Parker &amp; Jones: pl. 12, fig. 11 [note: not valid species name as &lsquo; <i>Globigerina helicina</i> &rsquo; was used by d&rsquo; Orbigny for a different species concept; see remarks].</p>   <p> 1877 <i>Globigerina sacculifera</i> Brady: 535 [original description but not illustrated].</p>   <p> 1884 <i>Globigerina sacculifera</i> Brady: 604, pl. 80, figs 11&ndash;17 and pl. 82, fig. 4 [numerous samples from the <i>Challenger</i> Expedition; illustrations reproduced in Jones (1994)].</p>   <p> 1940 <i>Globigerinoides sacculifera</i> (Brady); Coryell &amp; Rivero: 340, pl. 42, figs 24, 25, 32.</p>   <p> 1954 <i>Globigerinoides sacculifera</i> (Brady); Cushman, Todd &amp; Post: 369, pl. 91, fig. 7.</p>   <p> 1957 <i>Globigerinoides triloba sacculifer</i> (Brady); Bolli: 113, pl. 25, figs 5a&ndash;6.</p>   <p> 1959 <i>Globigerinoides triloba sacculifera</i> (Brady); Blow: 188, pl. 11, fig. 63a, b.</p>   <p> 1964 <i>Globigerinoides triloba sacculifera</i> (Brady); LeRoy: F42, pl. 14, fig. 18.</p>   <p> 1967 <i>Globigerinoides quadrilobatus sacculifer</i> (Brady); Closs: 340, pl. 1, fig. 21.</p>   <p> 1970 <i>Globigerinoides trilobus sacculifer</i> (Brady); Bolli: 626, pl. 1, fig. 5.</p>   <p> 1983 <i>Globigerinoides sacculifer</i> (Brady); Pujol &amp; Duprat: 612, pl. 4, figs 4, 5.</p>   <p> 1983 <i>Globigerinoides sacculifer</i> (Brady); Kennett &amp; Srinivasan: 66, pl. 14, figs 4&ndash;6.</p>   <p> 1994 <i>Globigerinoides sacculiferus</i> (Brady); Loeblich &amp; Tappan: 107, pl. 205, figs 1&ndash;3, 7&ndash;9</p>   <p> 2006 <i>Globigerinoides sacculifer</i> (Brady); Williams, Schmidt, Wilkinson, Miller &amp; Taylor: 154, pl. 1, figs 1&ndash;11.</p>   <p> <b>Description.</b> Type of wall: spinose, normal perforate, coarsely cancellate (often termed polygonal or honeycomb) &lsquo; <i>sacculifer</i> -type&rsquo; wall texture. Test morphology: low trochospire, initially involute, later more evolute coiling, coiling direction random, three to four chambers in the final whorl, rapidly enlarging, adult chambers typically globose, near-spherical, until the last chamber, which is a flattened, sac-like shape exhibiting extreme variation in size and shape; sutures distinct, depressed, straight to slightly curved on both sides; umbilicus narrow to moderate; primary aperture umbilical, sometimes umbilical-extraumbilical, a low&ndash;medium arch, often broad and/or asymmetrical, with bordering imperforate lip; numerous supplementary apertures on spiral side, one per chamber, placed at the sutures of the preceding chamber and third-previous chamber.</p>   <p>Note: description is based on the original description and species concept of Brady (1877, p. 535), and also those of Brady (1884, p. 604), Banner &amp; Blow (1960, p. 22) and Kennett &amp; Srinivasan (1983, p. 65), but is here emended and extended.</p>  <p> <b>Remarks.</b> <i>Trilobatus sacculifer</i> is distinguished from <i>T</i>. <i>trilobus</i>, <i>T</i>. <i>immaturus</i> and <i>T</i>. <i>quadrilobatus</i> by the presence of a distinctive flattened, sac-like chamber which is often elongate or lobate; the other three morphospecies possess only globose, (near-)spherical chambers throughout all adult chambers. It also differs from these morphotypes by the presence of a distinct lip bordering the primary aperture. <i>Trilobatus sacculifer</i> differs from <i>G</i>. <i>fistulosa</i> by the lack of clear protuberances on any of the final chambers, although the final chamber may be lobate.</p>   <p> <b>Type locality.</b> The type material for <i>T</i>. <i>sacculifer</i> is from a loose &lsquo;chalk&rsquo; block, from New Ireland, Papua New Guinea (Brady 1877). The &lsquo;chalk&rsquo; block was in fact a fragment of a carved figure, made by local inhabitants of the island and obtained by missionary Reverend G. Brown (Brown 1877; pp. 140&ndash;141; see also Liversidge 1877; Parker 1967). Rather than being sourced from the mainland itself, the &lsquo;chalk&rsquo; block was actually derived from seafloor deposits, where it had been extruded, apparently by earthquakes (Brown 1877) and/or volcanic activity (Brady 1884), onto the shore and then used by local inhabitants for a carved figure. The surrounding seafloor deposits off New Ireland indeed contain such &lsquo;chalk&rsquo; material (e.g. Exon <i>et al</i>. 1986), and are likely the source of the type material for <i>T</i>. <i>sacculifer</i>.</p>   <p> <b>Taxonomic history.</b> Brady (1877) observed that despite a specimen with a sac-like final chamber having been previously illustrated by Carpenter <i>et al</i>. (1862, pl. 12, fig. 11) under the name <i>Globigerina helicina</i> d&rsquo; Orbigny, the <i>helicina</i> form had actually been described to represent a very different morphology (typically viewed as a morphological variant of <i>Globigerinoides ruber</i>). Hence, Brady (1877) erected the new species, <i>Globigerina sacculifera</i>, and provided a brief description. Though not illustrated by Brady (1877), a more detailed description and accompanying illustrations of ideotypic specimens were provided subsequently in Brady (1884, pl. 80, figs 11&ndash;17 and pl. 82. fig. 4; see also corresponding figures in Jones 1994). The subsequent illustrations were from North Pacific &lsquo;Challenger Expedition&rsquo; material, rather than from the original type material of New Ireland, Papua New Guinea. However, the syntypic suite of specimens of Brady (1877) were subsequently examined by Banner &amp; Blow (1960), including description and designation of a lectotype. Interestingly, the line drawings (pl. 4, fig. 1a, b) of their selected lectotype showed no lip or rim bordering the primary aperture, and their description specifically states its absence (Banner &amp; Blow 1960, p. 22), despite this being a diagnostic character of the morphospecies (e.g. Kennett &amp; Srinivasan 1983; this study). Williams <i>et al</i>. (2006) presented the first SEM images of Banner &amp; Blow&rsquo; s lectotype (reproduced here in Fig. 17). Their SEM images of the lectotype and paralectotypes clearly resolve the matter, as each possesses a lip.</p>   <p> After Cushman (1927) erected <i>Globigerinoides</i>, <i>sacculifer</i> was accordingly placed in this genus by subsequent authors because it exhibits multiple supplementary apertures, although see various nomenclatural combinations in the synonymy list. Following Spezzaferri <i>et al</i>. (2015), <i>sacculifer</i> has been transferred to the new genus, <i>Trilobatus</i>, and we adhere to this designation.</p>   <p> The large morphological variation in the sac-like final chamber of <i>T</i>. <i>sacculifer</i> has been widely acknowledged, including kummerform (similar to the <i>T</i>. <i>subsacculifer</i> Cita, Premoli Silva &amp; Rossi morphospecies), lobate, tapering and pointed morphologies. Todd (1964, p. 1073) recognized not only the biostratigraphical potential of <i>G</i>. <i>fistulosa</i>, but also the lack of biostratigraphical value in forms with simply lobate chambers (i.e. &lsquo;incipient protuberances&rsquo;). Sac-like chambers that are lobate and/or have incipient protuberances have little biostratigraphical value as they have approximately the same stratigraphical range as <i>T</i>. <i>sacculifer</i> <i>sensu stricto</i>, which extends from the lower Miocene to Recent (see also Belford 1988). However, we observe that forms with incipient protuberances do increase in abundance during the stratigraphical range of <i>G</i>. <i>fistulosa</i> (mid-Pliocene to early Pleistocene). Irregular final chambers and aberrant morphologies are common to all morphospecies of planktonic foraminifera (Mancin &amp; Darling 2015), but are generally not treated any differently to &lsquo;normal&rsquo; specimens in terms of taxonomy. For example, incipient protuberances also occur in unrelated morphospecies such as <i>Globigerina bulloides</i> (Mancin &amp; Darling 2015, pl. 3, fig. 3) and <i>Globigerinoides ruber</i> (Hanagata &amp; Nobuhara 2015, fig. 20.9), but are not considered distinct morphospecies.</p>   <p> Although there is morphological gradation between <i>T</i>. <i>quadrilobatus</i> and <i>T</i>. <i>sacculifer</i> (i.e. forms with final chambers of intermediate morphology between spherical and flattened sac-like chambers), all <i>T</i>. <i>sacculifer</i> <i>sensu stricto</i> possess a distinct lip on the primary aperture (see description) even if it is a kummerform specimen.</p>   <p> Wall cross-sections: although the spine holes and primary wall texture are often obscured by gametogenic calcite, cross-sectional views of the wall of <i>T</i>. <i>sacculifer</i> show relict spines present. The specimens in this study are relatively large planktonic foraminifera, particularly some <i>T</i>. <i>sacculifer</i> specimens and virtually all <i>Globigerinoidesella fistulosa</i>, which are regularly more than 1 mm in size. These large specimens produce walls which can be at least 40 Lm thick (Fig. 9Q, R), even those with thin or no gametogenic calcite.</p>   <p> <b> Notes on the &lsquo; <i>subsacculifer&rsquo;</i> morphospecies.</b>  <i>Globigerinoides sacculifer subsacculifera</i> Cita, Premoli Silva &amp; Rossi, 1965 was erected for specimens of similar gross morphology to <i>T</i>. <i>sacculifer</i>, but possessing a smaller test and less-developed sac-like final chamber. The last chamber is elongated, but not as pointed and protruding as in <i>T</i>. <i>sacculifer</i> (Cita <i>et al</i>. 1965). Spezzaferri <i>et al</i>. (2015) transferred <i>subsacculifer</i> to the new genus <i>Trilobatus</i>.</p>   <p> However, subsequent to the original description, <i>T</i>. <i>subsacculifer</i> has only been rarely recorded despite its apparent biostratigraphical utility, as the stratigraphical range was reported as early Miocene to early&ndash;middle Miocene by Spezzaferri (1994). Few succeeding observations of <i>T</i>. <i>subsacculifer</i> exist, but reported occurrences include Bizon &amp; Bizon (1972, p. 242, figs 1&ndash;4), Rogl (1975), Poignant &amp; Pujol (1978, p. 673, pl. 12, figs 11, 12), Fordham (1986), Spezzaferri (1994, pl. 13, fig. 3a&ndash;c), Coccioni <i>et al</i>. (1997), Odin <i>et al</i>. (1997), Spezzaferri <i>et al</i>. (2002) and Gennari <i>et al</i>. (2013). Spezzaferri <i>et al</i>. (2002, p. 245) listed <i>T</i>. <i>subsacculifer</i> as a warm-water planktonic indicator. Their supposition receives support from the stable isotope analyses of <i>T</i>. <i>subsacculifer</i> by Bicchi <i>et al</i>. (2003), which show that <i>T</i>. <i>subsacculifer</i> probably had a similar depth ecology to modern <i>T</i>. <i>sacculifer</i>. Cita <i>et al</i>. (1965) suggested <i>T</i>. <i>subsacculifer</i> may represent the ancestral stock for <i>T</i>. <i>sacculifer</i>.</p>   <p> Here, we report examples similar in morphology to <i>T</i>. <i>subsacculifer</i>, but from the Pliocene&ndash;Pleistocene (i.e. considerably later than the highest occurrence reported by Spezzaferri 1994). Although <i>T</i>. <i>sacculifer</i> is far more common in the same samples, smaller forms akin to the <i>T</i>. <i>subsacculifer</i> morphology are present in each site investigated (ODP Sites 871, 926, 1115, and GLOW samples). The final chamber is generally diminutive (regularly kummerform), with a less-developed sac-like shape, and the specimens are smaller than typical <i>T</i>. <i>sacculifer</i>. We regard these specimens simply as phenotypic variants of <i>T</i>. <i>sacculifer</i>, forming an end member of the large intraspecific variability in this morphospecies. Even the small sac-like chambers have an imperforate lip that borders the aperture, which is a characteristic property of <i>T</i>. <i>sacculifer</i>. Thus <i>T</i>. <i>subsacculifer</i> may be a junior synonym of <i>T</i>. <i>sacculifer</i>, but further work from Miocene samples is required.</p>',\n",
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       "     'references': ['Brady, H. B. 1877. Supplementary note on the Foraminifera of the Chalk (?) of the New Britain Group. Geological Magazine, New Series, Decade 2, 4, 534 - 536.',\n",
       "      \"d' Orbigny, A. 1846. Foraminif`eres fossils du Bassin tertiaire de Vienne (Autriche). Gide et Comp, Paris, 312 pp.\",\n",
       "      \"LeRoy, L. W. 1939. Some small foraminifers, ostracoda and otoliths from the Neogene (' Miocene') of the Rokan-Tapanoeli area, Central Sumatra. Natuurkundig Tijdschrift voor Nederlandsch-Indi ¨ e, 99, 215 - 296.\",\n",
       "      'Schubert, R. J. 1910. Uber ¨ Foraminiferen und einen Fischotolithen aus dem fossilen Globigerinenschlamm von Neu-Guinea. Verhandlungen der Kaiserlich-Koniglichen Geologischen Reichsanstalt, 14, 318 - 328.',\n",
       "      'Jones, R. W. 1994. The Challenger Foraminifera. Oxford University Press, Oxford, 149 pp.',\n",
       "      'Brady, H. B. 1884. Report on the Foraminifera dredged by HMS Challenger during the years 1873 - 1876. Challenger Expedition 1873 - 1876, Report, London, Zoology, 9, 1 - 814.',\n",
       "      'Banner, F. T. & Blow, W. H. 1960. Some primary types of species belonging to the superfamily Globigerinaceae. Contributions from the Cushman Foundation for Foraminiferal Research, 11, 1 - 41.',\n",
       "      'Kennett, J. P. & Srinivasan, M. S. 1983. Neogene planktonic Foraminifera, a phylogenetic atlas. Hutchinson Ross, Stroudsburg, Pennsylvania, 265 pp.',\n",
       "      'Brown, G. 1877. Notes on the Duke of York Group, New Britain, and New Ireland. Journal of the Royal Geographical Society of London, 47, 137 - 150.',\n",
       "      'Liversidge, A. 1877. On the occurrence of chalk in the New Britain Group. Geological Magazine, New Series, Decade 2, 4, 529 - 534.',\n",
       "      'Parker, F. L. 1967. Late Tertiary biostratigraphy (planktonic foraminifera) of tropical Indo-Pacific deep-sea cores. Bulletin of American Paleontology, 52, 115 - 203.',\n",
       "      'Exon, N. F., Stewart, W. D., Sandy, M. J. & Tiffin, D. L. 1986. Geology and offshore petroleum prospects of the eastern New Ireland Basin, northeastern Papua New Guinea. Australian Bureau of Mineral Resources, Geology and Geophysics Bulletin, 10, 39 - 51.',\n",
       "      'Reuss, A. E. 1850. Neue Foraminiferen aus den Schichten des osterreichischen Terti ¨ arbeckens. Denkschriften der Kaiserlichen Akademie der Wissenschaften, Mathematisch-Naturwissenschaftliche Classe, 1, 365 - 390.',\n",
       "      'Carpenter, W. B., Parker, W. K. & Jones, T. R. 1862. Introduction to the study of the Foraminifera. Ray Society, London, 319 pp.',\n",
       "      'Williams, M., Schmidt, D. N., Wilkinson, I. P., Miller, C. G. & Taylor, P. D. 2006. The type material of the Miocene to Recent species Globigerinoides sacculifer (Brady) revisited. Journal of Micropalaeontology, 25, 153 - 156.',\n",
       "      'Cushman, J. A. 1927. An outline of the re-classification of the foraminifera. Contributions from the Cushman Laboratory for Foraminiferal Research, 3, 1 - 105.',\n",
       "      \"Spezzaferri, S., Kucera, M., Pearson, P. N., Wade, B. S., Rappo, S., Poole, C. R., Morard, R. & Stalder, C. 2015. Fossil and genetic evidence for the polyphyletic nature of the planktonic Foraminifera ' Globigerinoides ', and description of the new genus Trilobatus. PLoS ONE, 10, e 0128108.\",\n",
       "      'Todd, R. 1964. Planktonic foraminifera from deep-sea cores off Eniwetok Atoll. United States Geological Survey, Professional Paper, 260 - CC, 1067 - 1100.',\n",
       "      'Belford, D. J. 1988. Late Tertiary and Quarternary Foraminifera and paleobathymetry of dredge and core samples from the New Ireland Basin (Cruise L 7 - 84 - SP). Pp. 65 - 89 in M. S. Marlow, S. V. Dadisman & N. F. Exon (eds) Geology and offshore resources of Pacific Island arcs - New Ireland and Manus regions, Papua New Guinea. Circum-Pacific Council for Energy and Mineral Resources, Houston, Texas.',\n",
       "      'Mancin, N. & Darling, K. 2015. Morphological abnormalities of planktonic foraminiferal tests in the SW Pacific Ocean over the last 550 ky. Marine Micropaleontology, 120, 1 - 19.',\n",
       "      'Hanagata, S. & Nobuhara, T. 2015. Illustrated guide to Pliocene foraminifera of Miyakojima, Ryukyu Island Arc, with comments on biostratigraphy. Palaeontologia Electronica, 18.1.3 A, 1 - 140.',\n",
       "      'Cita, M. B., Rossi, R. & Premoli Silva, I. 1965. Foraminiferi planctonici del Tortoniano-tipo. Rivista Italiana Paleontologia e Stratigraphia, 71, 217 - 308.',\n",
       "      \"Papp, A. & Schmid, M. E. 1985. Die fossilen Foraminiferen des terti ¨ aren Beckens von Wien: Revision der Monographie von Alcide d' Orbigny (1846). Abhandlungen der Geologischen Bundesanstalt, 37, 1 - 311.\",\n",
       "      'Spezzaferri, S. 1994. Planktonic foraminiferal biostratigraphy of the Oligocene and lower Miocene in the oceanic record. An overview. Palaeontographia Italica, 81, 1 - 187.',\n",
       "      'Bizon, G. & Bizon, J. - J. 1972. Atlas des principaux foraminif`eres planctoniques du bassin M´editerran´een: Oligoc`ene a Quaternaire. Editions´Technip, Paris, 316 pp.',\n",
       "      'Poignant, A. & Pujol, C. 1978. Nouvelles donn´ees micropal´eontologiques (foraminif`eres planctoniques et petits foraminif`eres benthiques) sur le stratotype bordelais du Burdigalien. Geobios, 11, 655 - 713.',\n",
       "      'Fordham, B. G. 1986. Miocene - Pleistocene planktic foraminifers from DSDP Sites 208 and 77, and phylogeny and classification of Cenozoic species. Evolutionary Monographs, 6, 1 - 200.',\n",
       "      'Coccioni, R., Montanari, A., Fornaciari, E., Rio, D. & Zevenboom, D. 1997. Potential integrated stratigraphy of the Aquitanian to upper Burdigalian section at Santa Croce di Arcevia (NE Apennines, Italy). Pp. 275 - 295 in A. Montanari, G. S. Odin & R. Coccioni (eds) Miocene stratigraphy: an integrated approach. Elsevier, Amsterdam, The Netherlands.',\n",
       "      'Odin, G. S., Amorosi, A., Tateo, F., Coccioni, R., Cosca, M., Negri, A., Pini, G. A. & Hunziker, J. C. 1997. Integrated stratigraphy (biostratigraphy and geochronology) of the early Miocene sequence from the Emilian Apennines (Italy). Pp. 221 - 247 in A. Montanari, G. S. Odin & R. Coccioni (eds) Miocene stratigraphy: an integrated approach. Elsevier, Amsterdam, The Netherlands.',\n",
       "      'Spezzaferri, S., Coric, S., Hohenegger, J. & R ¨ ogl, F. 2002. Basin-scale paleobiogeography and paleoecology: an example from Karpatian (Latest Burdigalian) benthic and planktonic foraminifera and calcareous nannofossils from the Central Paratethys. Geobios, 35, 241 - 256.',\n",
       "      'Gennari, G., Spezzaferri, S., Comas, M., Ruggeberg ¨, A., Lopez-Rodriguez, C. & Pinheiro, L. 2013. Sedimentary sources of the mud-breccia and mud volcanic activity in the Western Alboran Basin. Marine Geology, 339, 83 - 95.',\n",
       "      'Bicchi, E., Ferrero, E. & Gonera, M. 2003. Palaeoclimatic interpretation based on Middle Miocene planktonic foraminifera: the Silesia Basin (Paratethys) and Monferrato (Tethys) records. Palaeogeography, Palaeoclimatology, Palaeoecology, 196, 265 - 303.'],\n",
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       "     'description': '<i>Trilobatus quadrilobatus</i> (d&rsquo; Orbigny, 1846)   <p>(Figs 7L&ndash;N, 8A&ndash;K, 15A, 17C, G)</p>  <p> 1846 <i>Globigerina quadrilobata</i> d&rsquo; Orbigny: 164, pl. 9, figs 7&ndash;10.</p>   <p> 1960 <i>Globigerinoides quadrilobatus</i> (d&rsquo; Orbigny); Banner &amp; Blow: 17, pl. 4, fig. 3a, b.</p>   <p> 1983 <i>Globigerinoides quadrilobatus</i> (d&rsquo; Orbigny); Kennett &amp; Srinivasan: 66, pl. 14, figs 1&ndash;3.</p>   <p> 2003 <i>Globigerinoides quadrilobatus</i> (d&rsquo; Orbigny); Li, McGowran, &amp; Brunner: 20, pl. P6, figs 16, 17.</p>   <p> 2012 <i>Globigerinoides quadrilobatus</i> (d&rsquo; Orbigny); R&ouml;gl: 188, pl. 2, figs 3, 4.</p>   <p> 2013 <i>Globigerinoides quadrilobatus</i> (d&rsquo; Orbigny); Fox &amp; Wade: 400, fig. 11.4.</p>   <p> 2018 <i>Trilobatus quadrilobatus</i> (d&rsquo; Orbigny); Spezzaferri, Olsson, &amp; Hemleben: 296&ndash;298, pl. 9.12, figs 1&ndash;20.</p>   <p> <b>Description.</b> Type of wall: spinose, coarsely cancellate <i>sacculifer</i> - type wall texture.</p>   <p>Test morphology: low trochospire, 3.5 to typically 4 globose, near-spherical chambers in the final whorl increasing slowly-moderately in size as added; sutures distinct, depressed, straight to slightly curved on both sides; umbilicus narrow; primary aperture extraumbilical-umbilical or umbilical, generally a low arch, often broad, typically no bordering rim; prominent supplementary apertures on spiral side, one per chamber, placed at the sutures of the preceding chamber and third-previous chamber, occasionally only one visible due to infilling or secondary calcification.</p>  <p>Note: description is based on the original description and species concept of d&rsquo; Orbigny (1846, p. 164), and that of Banner &amp; Blow (1960, pp. 17&ndash;19) and Kennett &amp; Srinivasan (1983, p. 66), but is here emended.</p>  <p> <b>Remarks.</b> <i>Trilobatus quadrilobatus</i> is distinguished from <i>T</i>. <i>sacculifer</i> in possessing a globular, near-spherical final chamber as opposed to a sac-like final chamber. <i>Trilobatus sacculifer</i> also possesses a distinct lip bordering the primary aperture, whilst <i>T</i>. <i>quadrilobatus</i> has no lip (though gradation between the two morphospecies occurs). <i>Trilobatus quadrilobatus</i> also shows morphological gradation with <i>T</i>. <i>immaturus</i>, but differs in having a lower chamber expansion rate and a more open umbilicus and typically having four spherical chambers in the final whorl. <i>Trilobatus quadrilobatus</i> has a broad resemblance to the short-ranging Oligo&ndash;Miocene morphospecies <i>Trilobatus primordius</i> (Blow &amp; Banner 1962), but <i>T</i>. <i>primordius</i> only possesses one supplementary aperture on the spiral side and may not have a strictly <i>sacculifer</i> - type wall texture (the original description of <i>T</i>. <i>primordius</i> by Blow &amp; Banner [1962, p. 115] states it has a &ldquo;markedly cancellate and punctate&rdquo; surface).</p>   <p> <b>Type locality.</b> Nussdorf (= Nubdorf), Rara, Vienna Basin, Austria.</p>   <p> <b>Taxonomic history.</b> d&rsquo; Orbigny (1846) described <i>Globigerina quadrilobata</i> from the Vienna Basin, Austria. He noted that the final four chambers were of almost equal size, increasing only marginally in size as added (d&rsquo; Orbigny 1846, p. 164). The original illustrations (d&rsquo; Orbigny 1846, pl. 9, figs 7&ndash;10; also reproduced numerous times, e.g. in Papp &amp; Schmid 1985, pl. 54, fig. 7 and Bolli &amp; Saunders 1985, p. 193, fig. 20.18) clearly show this low chamber expansion rate in the final whorl. No supplementary apertures are visible in the illustrations or are recorded in the original description, although, as also discussed by Banner &amp; Blow (1965), this omission does not preclude the possibility of supplementary apertures having been present on the specimen. Unfortunately, the original vial labelled &lsquo; <i>G</i>. <i>quadrilobata</i> &rsquo;, examined by Banner &amp; Blow (1960) and later Papp &amp; Schmid (1985), did not contain d&rsquo; Orbigny&rsquo; s (1846) figured specimen, but it was found to contain a suite of 11 specimens of at least three different morphospecies. According to Banner &amp; Blow (1960), only five specimens were of the quadrilobate form. Despite multiple morphospecies being present, Banner &amp; Blow (1960) reasoned that the contents of the vial were a suite of syntypic specimens for <i>quadrilobata</i> and designated a lectotype from one of the five quadrilobate forms. They assigned <i>quadrilobata</i> to <i>Globigerinoides</i> Cushman, 1927.</p>   <p> Banner &amp; Blow&rsquo; s (1960) record of the <i>quadrilobata</i> morphotype was almost its first reported occurrence in more than a century. Cushman (1946, p. 19) had found only one record of <i>quadrilobata</i> in the literature, noting that even this reported occurrence was probably not conspecific with d&rsquo; Orbigny&rsquo; s (1846) concept, and suggested that the name be &ldquo;allowed to lapse&rdquo;. The designation of a lectotype by Banner &amp; Blow (1960) was described as a &lsquo;resurrection&rsquo; by Todd (1961) and Jenkins (1966). Moreover, numerous authors disputed the validity of the presumed syntypic suite of specimens and thus the designated lectotype (e.g. Todd 1961; Bandy 1964a, b; Jenkins 1966, 1971; Bolli &amp; Saunders 1985). The main arguments were threefold: (1) the contents of the vial, regardless of its label of &lsquo; <i>G</i>. <i>quadrilobata</i> &rsquo;, undoubtedly contained multiple morphospecies and should not have been considered syntypic despite containing &lsquo;quadrilobate&rsquo; specimens; (2) the designated lectotype was not wholly consistent with d&rsquo; Orbigny&rsquo; s original (and sparse) concept (nor indeed were any of the 11 specimens). Bandy (1964a, b) referred <i>quadrilobata</i> back to the genus <i>Globigerina</i> primarily because d&rsquo; Orbigny&rsquo; s concept did not specify any supplementary apertures; and (3) numerous specimens apparently consistent with d&rsquo; Orbigny&rsquo; s original concept (i.e. not the concept of Banner &amp; Blow) were apparently found in samples from the type locality (e.g. Bandy 1964b).</p>   <p> In two subsequent publications, Banner &amp; Blow (1962, 1965) endeavoured to vindicate their lectotype selection, and considered their <i>quadrilobata</i> morphotype to be an evolutionarily &lsquo;central form&rsquo;, giving rise to both <i>T</i>. <i>trilobus</i> and <i>T</i>. <i>sacculifer</i>. This is of importance because most authors, contrarily, consider <i>T</i>. <i>trilobus</i> to be the more &lsquo;primitive&rsquo; form, giving rise to <i>T</i>. <i>quadrilobatus</i> (e.g. Kennett &amp; Srinivasan 1983). Other workers (e.g. Fleisher 1974, p. 1023) noted that the lectotype was probably not conspecific with the original concept, but argued it should be retained because of the wide prior usage. Chaproniere (1981, p. 110) also argued in favour of <i>quadrilobatus</i> and Banner &amp; Blow&rsquo; s (1960, 1965) concept, and distinguished between <i>trilobus</i>, <i>immaturus</i> and <i>quadrilobatus</i> as separate subspecies of <i>Globigerinoides quadrilobatus</i> (i.e. a trinomial nomenclature with <i>quadrilobatus</i> as the central species). He also considered numerous other morphospecies to be subspecies of <i>G</i>. <i>quadrilobatus</i> that are here not in accordance with our definition of the plexus (Chaproniere 1981).</p>   <p> To add further complication, Banner &amp; Blow&rsquo; s (1960) lectotype was apparently lost and is therefore not available for examination. Papp &amp; Schmid (1985) designated a replacement lectotype from the remaining material of the original vial, choosing a broadly similar specimen to the first lectotype. The validity of this lectotype might be disputed for the same aforementioned reasons. Despite the questionable lectotype selection(s), and rejection by other workers, the Banner &amp; Blow (1960, 1965) concept of <i>quadrilobatus</i> has been used consistently since its inception.</p>   <p> Ultimately, the proliferation of the name <i>quadrilobatus</i> can be attributed to the taxonomic authority of Banner and Blow, and that Kennett &amp; Srinivasan (1983) considered <i>quadrilobatus</i> a distinct morphospecies to <i>trilobus</i>, <i>immaturus</i> and <i>sacculifer</i> in their taxonomic atlas of Neogene planktonic foraminifera. Their influential work has been extensively used as the foremost taxonomic authority for Neogene planktonic foraminifera for more than 30 years. They posited a lineage of <i>trilobus - immaturus - quadrilobatus - sacculifer</i>. Many populations (fossil and Recent) contain a 3.5&ndash;4-chambered form that is not consistent with the species concepts of <i>trilobus</i>, <i>immaturus</i> or <i>sacculifer</i>; such a morphotype is often called <i>quadrilobatus</i>.</p>   <p> Spezzaferri <i>et al</i>. (2015) recently reinvigorated this debate in their investigation into the polyphyletic genus <i>Globigerinoides</i>. As the lectotype of Papp &amp; Schmid (1985) possesses a relatively high-arched aperture and a difficult-to-ascertain wall texture, Spezzaferri <i>et al</i>. (2015) placed it in the &lsquo; <i>ruber</i> group&rsquo; (i.e. in <i>Globigerinoides</i>), rather than in new genus <i>Trilobatus</i>, where the rest of the <i>sacculifer</i> plexus (<i>T</i>. <i>trilobus</i>, <i>T</i>. <i>immaturus</i> and <i>T</i>. <i>sacculifer</i>) morphospecies were re-assigned. Placing the <i>quadrilobatus</i> lectotype in <i>Globigerinoides</i> rather than <i>Trilobatus</i> effected a radical change to the species concept because <i>quadrilobatus</i> had been consistently associated with the <i>T</i>. <i>sacculifer</i> plexus in most works since Banner &amp; Blow (1960). A key problem is that the lectotype specimen of Papp &amp; Schmid (1985) does not adequately exemplify the morphospecies concept of <i>quadrilobatus</i> used by most authors (i.e. the concept of Banner and Blow [1960, 1965] and Kennett &amp; Srinivasan [1983]). Spezzaferri <i>et al</i>. (2015) stated that the lectotype does not have a <i>sacculifer</i> -type wall texture, yet this is considered one of the diagnostic characters for the whole <i>T</i>. <i>sacculifer</i> plexus (e.g. Banner &amp; Blow 1960, 1965; Kennett &amp; Srinivasan 1983). The illustrated lectotype in Papp &amp; Schmid (1985) is not exceptionally preserved and the wall texture is somewhat ambiguous. It appears from the SEM reproduction in Figure 17 to have variable wall texture, and in a re-examination of the specimen, evidence of a <i>sacculifer</i> -type texture has been identified in <i>quadrilobatus</i> (Spezzaferri <i>et al</i>. 2018), thus re-aligning <i>quadrilobatus</i> with the <i>T</i>. <i>sacculifer</i> plexus. It is of note that other specimens with a <i>quadrilobatus</i> morphology clearly show a markedly cancellate, <i>sacculifer</i> - type texture (e.g. Stewart <i>et al</i>. 2004, pl. 1, fig. E [exceptionally preserved Tanzanian specimen]; Rogl 2012, pl. 3, fig. 6).</p>   <p> An additional minor factor to consider is that the generally larger size of <i>T</i>. <i>sacculifer</i> and <i>T</i>. <i>quadrilobatus</i> compared to <i>T</i>. <i>immaturus</i> and <i>T</i>. <i>trilobus</i> means that the <i>T</i>. <i>quadrilobatus</i> and <i>T</i>. <i>sacculifer</i> wall textures may appear less coarsely cancellate than those of <i>T</i>. <i>immaturus</i> and <i>T</i>. <i>trilobus</i>. We provide further evidence for a cancellate, <i>sacculifer</i> - type wall texture for <i>T</i>. <i>quadrilobatus</i> (Figs 7N, 8B), confirming its place within <i>Trilobatus</i>.</p>   <p> It appears that the lectotype specimen selected by Papp &amp; Schmid (1985) may not have been a &lsquo;typical&rsquo; <i>quadrilobatus</i> morphotype based on the widely used concept from Kennett &amp; Srinivasan (1983). We agree with previous authors (Todd 1961; Bandy 1964a, b; Jenkins 1966; Fleisher 1974; Bolli &amp; Saunders 1985) that the lectotype of Banner &amp; Blow (1960) and replacement lectotype of Papp &amp; Schmid (1985) for <i>quadrilobatus</i> may not have been conspecific with d&rsquo; Orbigny&rsquo; s (1846) original (and sparse) concept. However, it is also evident from our observations and those of other workers (e.g. Stewart <i>et al</i>. 2004; Rogl 2012) that a 3.5&ndash;4-chambered morphotype with a <i>sacculifer</i> -type wall texture exists. This morphotype is not consistent with the <i>T</i>. <i>trilobus</i>, <i>T</i>. <i>immaturus</i> or <i>T</i>. <i>sacculifer</i> descriptions and concepts, yet clearly intergrades with these other plexus members and is closely related. We consider this morphotype to be <i>T</i>. <i>quadrilobatus</i> (Figs 7L&ndash;N, 8A&ndash;K). We therefore follow Spezzaferri <i>et al</i>. (2018) and refer the <i>quadrilobatus</i> morphospecies (i.e. the concept of Kennett &amp; Srinivasan [1983], and that of this study) to the new genus <i>Trilobatus</i>.</p>   <p> The SEM illustrations highlight the intergradation between both <i>T</i>. <i>immaturus</i> <i>-</i> <i>T</i>. <i>quadrilobatus</i> and <i>T</i>. <i>quadrilobatus</i> <i>-</i> <i>T</i>. <i>sacculifer</i>. For example, the <i>T</i>. <i>quadrilobatus</i> specimen in Figure 7L&ndash;N is intermediate between <i>T</i>. <i>immaturus</i> and <i>T</i>. <i>quadrilobatus</i> <i>sensu stricto</i>, as it has a relatively high chamber expansion rate in the final whorl compared to <i>T</i>. <i>quadrilobatus</i> <i>sensu stricto</i> (Fig. 8A&ndash;G). However, the prominence of the fourth chamber as well as the larger size is used to distinguish it from <i>T</i>. <i>immaturus</i>. As the forms intergrade, this delimitation is arbitrary, but through using a combination of chamber expansion rate, prominence of fourth chamber, size, and similarity to our suggested morphospecies exemplars (see Fig. 17) it is possible to delimit <i>T</i>. <i>immaturus</i> and <i>T</i>. <i>quadrilobatus</i>.</p>   <p> The transition between <i>T</i>. <i>quadrilobatus</i> and <i>T</i>. <i>sacculifer</i> is illustrated in Figure 8. The forms in Figure 8A&ndash;G are considered the morphospecies exemplars for <i>T</i>. <i>quadrilobatus</i>, whilst Figure 8H&ndash;P show progressive flattening and extension of the final chamber. The specimens in Figure 8H&ndash;K do not show significant flattening of the final chamber and are regarded as <i>T</i>. <i>quadrilobatus</i>, whereas Figure 8L&ndash;P are considered to have final chamber flattened enough to be <i>T</i>. <i>sacculifer</i> (and Fig. 8P is considered <i>T</i>. <i>sacculifer</i> <i>sensu stricto</i>). There is also a tendency towards higher arched primary apertures and the development of a bordering imperforate lip. Although some <i>T</i>. <i>quadrilobatus</i> specimens also possess an imperforate lip (e.g. Fig. 8F), it is infrequent. In contrast, almost all <i>T</i>. <i>sacculifer</i> specimens possess a prominent lip (it is a defining character), and even regularly possess a lip on the first supplementary aperture on the spiral side as well (Figs 9B, 10C, 11B, F).</p>',\n",
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       "     'references': [\"d' Orbigny, A. 1846. Foraminif`eres fossils du Bassin tertiaire de Vienne (Autriche). Gide et Comp, Paris, 312 pp.\",\n",
       "      'Banner, F. T. & Blow, W. H. 1960. Some primary types of species belonging to the superfamily Globigerinaceae. Contributions from the Cushman Foundation for Foraminiferal Research, 11, 1 - 41.',\n",
       "      'Kennett, J. P. & Srinivasan, M. S. 1983. Neogene planktonic Foraminifera, a phylogenetic atlas. Hutchinson Ross, Stroudsburg, Pennsylvania, 265 pp.',\n",
       "      \"Banner, F. T. & Blow, W. H. 1962. The type specimens of Globigerina quadrilobata d' Orbigny, Globigerina sacculifera Brady, Rotalina cultrata d' Orbigny and Rotalia menardii Parker, Jones and Brady. Contributions from the Cushman Foundation for Foraminiferal Research, 13, 98 - 99.\",\n",
       "      \"Papp, A. & Schmid, M. E. 1985. Die fossilen Foraminiferen des terti ¨ aren Beckens von Wien: Revision der Monographie von Alcide d' Orbigny (1846). Abhandlungen der Geologischen Bundesanstalt, 37, 1 - 311.\",\n",
       "      'Bolli, H. M. & Saunders, J. B. 1985. Oligocene to Holocene low latitude planktic foraminifera. Pp. 155 - 262 in H. M. Bolli, J. B. Saunders & K. Perch-Nielsen (eds) Plankton stratigraphy. Cambridge University Press, Cambridge.',\n",
       "      \"Banner, F. T. & Blow, W. H. 1965. Globigerinoides quadrilobatus (d' Orbigny) and related forms: their\",\n",
       "      'Cushman, J. A. 1927. An outline of the re-classification of the foraminifera. Contributions from the Cushman Laboratory for Foraminiferal Research, 3, 1 - 105.',\n",
       "      'Brady, H. B. 1877. Supplementary note on the Foraminifera of the Chalk (?) of the New Britain Group. Geological Magazine, New Series, Decade 2, 4, 534 - 536.',\n",
       "      'Schubert, R. J. 1910. Uber ¨ Foraminiferen und einen Fischotolithen aus dem fossilen Globigerinenschlamm von Neu-Guinea. Verhandlungen der Kaiserlich-Koniglichen Geologischen Reichsanstalt, 14, 318 - 328.',\n",
       "      'Cushman, J. A. 1946. The species of Globigerina described between 1839 and 1850. Contributions from the Cushman Foundation for Foraminiferal Research, 22, 15 - 21.',\n",
       "      'Todd, R. 1961. On selection of lectotypes and neotypes. Contributions from the Cushman Foundation for Foraminiferal Research, 12, 121 - 122.',\n",
       "      'Jenkins, D. G. 1966. Planktonic foraminifera from the type Aquitanian - Burdigalian of France. Contributions from the Cushman Foundation for Foraminiferal Research, 17, 1 - 15.',\n",
       "      'Bandy, O. L. 1964 a. Cenozoic planktonic foraminiferal zonation. Micropaleontology, 10, 1 - 17.',\n",
       "      'Jenkins, D. G. 1971. New Zealand Cenozoic planktonic foraminifera. New Zealand Geological Survey Paleontological Bulletin, 42, 1 - 278.',\n",
       "      \"Bandy, O. L. 1964 b. The type of Globigerina quadrilobata d' Orbigny. Contributions from the Cushman Foundation for Foraminiferal Research, 15, 36 - 37.\",\n",
       "      'Fleisher, R. L. 1974. Cenozoic planktonic foraminifera and biostratigraphy, Arabian Sea, Deep Sea Drilling Project, Leg 23 A. Pp. 1001 - 1072 in R. B. Whitmarsh, O. E. Weser, D. A. Ross, S. Ali, J. E. Boudreaux, R. L. Fleisher, D. Jipa, R. B. Kidd, T. K. Mallik, A. Matter, C. Nigrini, H. N. Siddiquie & P. Stoffers (eds) Initial Reports of the Deep Sea Drilling Project. US Government Printing Office, Washington, DC, 23.',\n",
       "      'Chaproniere, G. C. H. 1981. Late Oligocene to early Miocene planktic Foraminiferida from Ashmore Reef No. 1 Well, northwest Australia. Alcheringa, 5, 103 - 131.',\n",
       "      \"Spezzaferri, S., Kucera, M., Pearson, P. N., Wade, B. S., Rappo, S., Poole, C. R., Morard, R. & Stalder, C. 2015. Fossil and genetic evidence for the polyphyletic nature of the planktonic Foraminifera ' Globigerinoides ', and description of the new genus Trilobatus. PLoS ONE, 10, e 0128108.\",\n",
       "      'Spezzaferri, S., Olsson, R. K. & Hemleben, C. 2018. Taxonomy, biostratigraphy, and phylogeny of Oligocene to lower Miocene Globigerinoides and Trilobatus. Pp. 269 - 306 in B. S. Wade, R. K. Olsson, P. N. Pearson, B. T. Huber & W. A. Berggren (eds) Atlas of Oligocene Planktonic Foraminifera. Cushman Foundation of Foraminiferal Research, Special Publication, 46.',\n",
       "      'Stewart, D. R. M., Pearson, P. N., Ditchfield, P. W. & Singano, J. M. 2004. Miocene tropical Indian Ocean temperatures: evidence from three exceptionally preserved foraminiferal assemblages from Tanzania. Journal of African Earth Sciences, 40, 173 - 189.'],\n",
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       "     'description': \"Figure 17. Trilobatus sacculifer plexus, showing type specimens (A–D), morphological intergradation sequence and morphospecies exemplars (E–H). A, E, Trilobatus trilobus (Reuss, 1850); B, F, Trilobatus immaturus (LeRoy, 1939); C, G, Trilobatus quadrilobatus (d'Orbigny, 1846); D, H, Trilobatus sacculifer (Brady, 1877). A, salt mine Wieliczka, near Krakow, Poland (umbilical view; neotype image reproduced from Rogl 2012, pl. 1, fig. 1). B, Telisa Shales, Tapoeng Kiri area, Rokan-Tapanoeli, Central Sumatra, Indonesia (umbilical view; holotype image reproduced from LeRoy 1939, pl. 3, fig. 19). C, Nussdorf (= Nubdorf), Rara, Vienna Basin, Austria (umbilical view; lectotype image reproduced from Papp &amp; Schmid 1985, pl. 3, fig. 19). D, New Ireland, Papua New Guinea (umbilical view; lectotype of Banner &amp; Blow 1960, image reproduced from Williams et al. 2006, pl. 1, fig. 1). E, GLOW-3, south-west Indian Ocean (umbilical view). F, ODP Site 871, Limalok Guyot, Marshall Islands, equatorial Pacific 3H/ 03/60–62 cm (umbilical view). G, ODP Site 871, Limalok Guyot, Marshall Islands, equatorial Pacific 3H/03/60–62 cm (umbilical view). H, ODP Site 1115, Woodlark Basin, western Pacific; 11H/04/25–27 cm (umbilical view). Scale bars = 100 Lm.\",\n",
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       "     'description': \"Figure 17. Trilobatus sacculifer plexus, showing type specimens (A–D), morphological intergradation sequence and morphospecies exemplars (E–H). A, E, Trilobatus trilobus (Reuss, 1850); B, F, Trilobatus immaturus (LeRoy, 1939); C, G, Trilobatus quadrilobatus (d'Orbigny, 1846); D, H, Trilobatus sacculifer (Brady, 1877). A, salt mine Wieliczka, near Krakow, Poland (umbilical view; neotype image reproduced from Rogl 2012, pl. 1, fig. 1). B, Telisa Shales, Tapoeng Kiri area, Rokan-Tapanoeli, Central Sumatra, Indonesia (umbilical view; holotype image reproduced from LeRoy 1939, pl. 3, fig. 19). C, Nussdorf (= Nubdorf), Rara, Vienna Basin, Austria (umbilical view; lectotype image reproduced from Papp &amp; Schmid 1985, pl. 3, fig. 19). D, New Ireland, Papua New Guinea (umbilical view; lectotype of Banner &amp; Blow 1960, image reproduced from Williams et al. 2006, pl. 1, fig. 1). E, GLOW-3, south-west Indian Ocean (umbilical view). F, ODP Site 871, Limalok Guyot, Marshall Islands, equatorial Pacific 3H/ 03/60–62 cm (umbilical view). G, ODP Site 871, Limalok Guyot, Marshall Islands, equatorial Pacific 3H/03/60–62 cm (umbilical view). H, ODP Site 1115, Woodlark Basin, western Pacific; 11H/04/25–27 cm (umbilical view). Scale bars = 100 Lm.\",\n",
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       "    'metadata': {'title': 'Trilobatus immaturus',\n",
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       "     'description': '<i>Trilobatus immaturus</i> (LeRoy, 1939)   <p>(Figs 6P, 7A&ndash;K, 17B, F)</p>  <p> 1939 <i>Globigerinoides sacculifera</i> var. <i>immatura</i> LeRoy: 263, pl. 3, figs 19&ndash;21.</p>   <p> 1957 <i>Globigerinoides triloba immatura</i> LeRoy; Bolli: 113, pl. 25, figs 3a&ndash;4c.</p>   <p> 1964 <i>Globigerinoides triloba immatura</i> LeRoy; LeRoy: F42, pl. 14, fig. 16.</p>   <p> 1967 <i>Globigerinoides quadrilobatus immaturus</i> LeRoy; Closs: 340, pl. 1, fig. 15.</p>   <p> 1969 <i>Globigerinoides triloba immatura</i> LeRoy; Mohan: 36, pl. 4, figs 3, 4.</p>   <p> 1975 <i>Globigerinoides quadrilobatus immaturus</i> LeRoy; Srinivasan: 138, pl. 2, fig. 4.</p>   <p> 1981 <i>Globigerinoides quadrilobatus immaturus</i> LeRoy; Chaproniere: 112, fig. 5D, a&ndash;d.</p>   <p> 1983 <i>Globigerinoides immaturus</i> LeRoy; Kennett &amp; Srinivasan: 64, pl. 13, figs 7&ndash;9.</p>   <p> 2018 <i>Trilobatus immaturus</i> LeRoy; Spezzaferri, Olsson, &amp; Hemleben: 289&ndash;292, pl. 9.9, figs 1&ndash;21.</p>   <p> <b>Description.</b> Type of wall: spinose, coarsely cancellate (often termed polygonal or honeycomb) &lsquo; <i>sacculifer</i> - type&rsquo; wall texture. Test morphology: low trochospire, 3 to 3.5 globose, spherical chambers in the final whorl increasing moderately in size as added; sutures distinct, depressed, straight to slightly curved on both sides; umbilicus narrow; primary aperture extraumbilical-umbilical, generally a low arch, typically no bordering rim; small supplementary apertures on spiral side, one per chamber, placed at the sutures of the preceding chamber and third-previous chamber, sometimes the only one visible due to infilling or secondary calcification.</p>   <p>Note: description is based on the original species concept of LeRoy (1939, p. 263) and also Bolli (1957, pp. 112&ndash;113) and Kennett &amp; Srinivasan (1983, p. 64), but is here emended and extended.</p>  <p> <b>Remarks.</b> <i>Trilobatus immaturus</i> is distinguished from <i>T</i>. <i>trilobus</i> by having looser coiling and a lower rate of chamber expansion in the final whorl, resulting in a final chamber that is not larger than the other chambers combined. <i>Trilobatus quadrilobatus</i> differs in typically possessing four chambers in the final whorl, and having a lower rate of chamber expansion, resulting in almost equal-sized chambers. The last chamber is more embracing of the earlier chambers owing to tighter coiling, whereas <i>T</i>. <i>quadrilobatus</i> is more loosely coiled. Thus, <i>T</i>. <i>immaturus</i> can be seen as intermediate in morphology between <i>T</i>. <i>trilobus</i> and <i>T</i>. <i>quadrilobatus</i>. <i>Trilobatus immaturus</i> differs from <i>T</i>. <i>sacculifer</i> which possesses a sac-like final chamber and <i>G</i>. <i>fistulosa</i> which has protuberances.</p>   <p> <b>Type locality.</b> Telisa Shales, Tapoeng Kiri area, Rokan-Tapanoeli, central Sumatra, Indonesia.</p>   <p> <b>Taxonomic history.</b> <i>Trilobatus immaturus</i> was named by LeRoy (1939, pp. 263&ndash;264) as <i>Globigerinoides</i> <i>sacculiferus</i> var. <i>immatura</i>. LeRoy (1939) originally considered <i>Globigerinoides sacculiferus</i> var. <i>immatura</i> a varietal form of <i>T</i>. <i>sacculifer</i> and thus did not provide a formal description. He noted the close morphological similarity with <i>T</i>. <i>sacculifer</i> but considered it &ldquo;either an early or immature form&rdquo; (LeRoy 1939, p. 263) because of the absence of the characteristic sac-like final chamber, and this explicates the derivation of the name. The <i>immaturus</i> variety was assigned to <i>Globigerinoides</i> Cushman, 1927, based on the presence of multiple apertures which LeRoy (1939) clearly illustrated in the holotype images. These illustrations depict a morphotype broadly similar to that of the original images for <i>T</i>. <i>trilobus</i> by Reuss (1850), but it has slightly more than three chambers (approximately 3.5) and a slightly lower chamber expansion rate in the final whorl (see Fig. 17). Bolli &amp; Saunders (1985) suggested that the differences were minimal; however, Bolli&rsquo; s (1957) concept is well suited to delimit the morphospecies.</p>   <p> Bolli (1957, p. 112) clarified the differences between <i>T</i>. <i>trilobus</i> and <i>T</i>. <i>immaturus</i>, stating that &ldquo; <i>G</i>. <i>triloba triloba</i> differs from <i>G</i>. <i>triloba immatura</i> in having a final chamber that is larger than all the earlier chambers combined&rdquo; (see also Jenkins [1960, p. 354] and Kennett &amp; Srinivasan [1983, p. 64] for their comparable distinctions). These differences were also well illustrated by Bolli (1957, i.e. compare text-fig. 21.1 and pl. 25, fig. 2a&ndash;c [<i>T</i>. <i>trilobus</i>] with text-fig. 21.2 and pl. 25, figs 3a&ndash;4c [<i>T</i>. <i>immaturus</i>]). Although originally naming <i>immaturus</i> as a varietal form of <i>sacculifer</i>, LeRoy (1964) subsequently followed Bolli&rsquo; s (1957) designation of <i>immaturus</i> as a subspecies of <i>trilobus</i>. In contrast, other workers (e.g. Closs 1967; Srinivasan 1975; Chaproniere 1981) considered <i>T</i>. <i>immaturus</i> to be a subspecies of <i>quadrilobatus</i> (see synonymy list), following Blow &amp; Banner&rsquo; s (1960, 1965) assertion regarding the aforementioned senior priority of <i>quadrilobatus</i> and it being a &lsquo;central form&rsquo;. <i>Trilobatus immaturus</i> also has an intermediate morphology between <i>T</i>. <i>trilobus</i> and <i>T</i>. <i>quadrilobatus</i>, and intergrades with both (Figs 6&ndash;8), and thus is often reported as a subspecies of <i>T</i>. <i>trilobus</i> and <i>T</i>. <i>quadrilobatus</i>.</p>   <p> Kennett &amp; Srinivasan (1983) avoided a trinomial nomenclature for this group, giving <i>T</i>. <i>immaturus</i> species status (as <i>Globigerinoides immaturus</i>), as binomial nomenclature is now standard taxonomic practice for planktonic foraminifera (e.g. Olsson <i>et al</i>. 1999; Pearson et al. 2006; Pearson &amp; Wade 2015; Wade <i>et al</i>. 2018a). Since the taxonomic revision of Spezzaferri <i>et al</i>. (2015), <i>immaturus</i> has been assigned to the newly erected genus <i>Trilobatus</i>, and we adhere to this designation.</p>   <p> In some respects, <i>T</i>. <i>immaturus</i> can be considered a &lsquo;wastebasket&rsquo; taxon (e.g. Longoria &amp; Gamper 1995, p. 332; Aze <i>et al</i>. 2011, p. 921; Pearson &amp; Wade 2015, p. 12), although note the slightly different meaning envisaged herein. Firstly, owing to the strict morphological concept of <i>T</i>. <i>trilobus</i>, that morphospecies cannot possess a kummerform final chamber (see <i>T</i>. <i>trilobus</i> Taxonomic history, above). This means that <i>T</i>. <i>immaturus</i> has a high proportion of forms with a kummerform final chamber (see Fig. 7A, B), because it is augmented by the inclusion of forms which cannot be referred to as <i>T</i>. <i>trilobus</i>. This may also explain why the maximum size of <i>T</i>. <i>immaturus</i> is often similar to that of <i>T</i>. <i>trilobus</i> (Fig. 18), rather than being more of an intermediate size between <i>T</i>. <i>quadrilobatus</i> and <i>T</i>. <i>trilobus</i>. Secondly, whilst &lsquo;typical&rsquo; <i>T</i>. <i>trilobus</i> and <i>T</i>. <i>quadrilobatus</i> have distinctive morphology, the name <i>T</i>. <i>immaturus</i> has come to represent any intermediate morphology which does not fit with the <i>T</i>. <i>trilobus</i> and <i>T</i>. <i>quadrilobatus</i> morphospecies concepts. Nevertheless, Andŕe <i>et al</i>. (2013, fig. 8) highlighted that the morphospecies name <i>immaturus</i> has seen the rarest usage of the <i>T</i>. <i>sacculifer</i> plexus names in the fossil record to Recent, in comparison with the three-chambered <i>T</i>. <i>trilobus</i> and the three and a half- to four-chambered <i>T</i>. <i>quadrilobatus</i>.</p>   <p> The wall texture is <i>sacculifer</i> - type (exemplified in Fig. 7C, D), although as with all <i>T</i>. <i>sacculifer</i> plexus members, secondary calcification commonly obscures the original wall texture and especially the spine holes (Fig. 7J, K). The secondary calcification does not affect all chambers equally; the close-up images in Figure 7J and K are from the final and penultimate chambers, respectively. The penultimate chamber has probably been affected more severely by secondary calcification, and also previous chambers often add more calcite during precipitation of succeeding chambers.</p>   <p> <i>Trilobatus sacculifer</i> is generally considered to have arisen from <i>T</i>. <i>quadrilobatus</i> (e.g. Kennett &amp; Srinivasan 1983). However, we also observe intergradation between <i>T</i>. <i>immaturus</i> and <i>T</i>. <i>sacculifer</i> (Fig. 7B&ndash;H), despite <i>T</i>. <i>immaturus</i> usually being intermediate in morphology between <i>T</i>. <i>trilobus</i> and <i>T</i>. <i>quadrilobatus</i>. These specimens show clear evidence of imperforate lips on the primary and first supplementary apertures, and the final chambers are slightly more flattened than &lsquo;typical&rsquo; <i>T</i>. <i>immaturus</i> specimens. Though the <i>T</i>. <i>immaturus</i> <i>-</i> <i>T</i>. <i>sacculifer</i> intermediate morphotypes (Fig. 7B&ndash;H) occur less frequently than <i>T</i>. <i>quadrilobatus</i> <i>-</i> <i>T</i>. <i>sacculifer</i> intermediate morphotypes (Fig. 8H&ndash;N), a sac-like chamber may also develop on forms which would otherwise be referred to <i>T</i>. <i>trilobus</i>, highlighting how the morphospecies are closely related. The fossil evidence presented here corresponds with the evidence from Recent forms which suggests that the morphospecies of the <i>T</i>. <i>sacculifer</i> plexus represent one (biological) species, as the sac-like chamber may develop from <i>T</i>. <i>trilobus</i>, <i>T</i>. <i>immaturus</i> or <i>T</i>. <i>quadrilobatus</i>.</p>',\n",
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       "     'references': [\"LeRoy, L. W. 1939. Some small foraminifers, ostracoda and otoliths from the Neogene (' Miocene') of the Rokan-Tapanoeli area, Central Sumatra. Natuurkundig Tijdschrift voor Nederlandsch-Indi ¨ e, 99, 215 - 296.\",\n",
       "      'Bolli, H. M. 1957. Planktonic foraminifera from the Oligocene - Miocene Cipero and Lengua Formations of Trinidad, B. W. I. Pp. 97 - 123 in A. R. Loeblich Jr, H. Tappan, J. P. Beckmann, H. M. Bolli, E. Montanaro Gallitelli & J. C. Troelsen (eds) Studies in Foraminifera. United States National Museum Bulletin, Smithsonian Institution, Washington DC, 213.',\n",
       "      'Kennett, J. P. & Srinivasan, M. S. 1983. Neogene planktonic Foraminifera, a phylogenetic atlas. Hutchinson Ross, Stroudsburg, Pennsylvania, 265 pp.',\n",
       "      'Cushman, J. A. 1927. An outline of the re-classification of the foraminifera. Contributions from the Cushman Laboratory for Foraminiferal Research, 3, 1 - 105.',\n",
       "      'Reuss, A. E. 1850. Neue Foraminiferen aus den Schichten des osterreichischen Terti ¨ arbeckens. Denkschriften der Kaiserlichen Akademie der Wissenschaften, Mathematisch-Naturwissenschaftliche Classe, 1, 365 - 390.',\n",
       "      'Bolli, H. M. & Saunders, J. B. 1985. Oligocene to Holocene low latitude planktic foraminifera. Pp. 155 - 262 in H. M. Bolli, J. B. Saunders & K. Perch-Nielsen (eds) Plankton stratigraphy. Cambridge University Press, Cambridge.',\n",
       "      'Brady, H. B. 1877. Supplementary note on the Foraminifera of the Chalk (?) of the New Britain Group. Geological Magazine, New Series, Decade 2, 4, 534 - 536.',\n",
       "      'Jenkins, D. G. 1960. Planktonic foraminifera from the Lakes Entrance oil shaft, Victoria, Australia. Micropaleontology, 6, 345 - 371.',\n",
       "      'LeRoy, L. W. 1964. Smaller Foraminifera from the late Tertiary of southern Okinawa. United States Geological Survey, Professional Paper, 454 - F, F 1 - F 58.',\n",
       "      'Closs, D. 1967. Miocene planktonic foraminifera from southern Brazil. Micropaleontology, 13, 337 - 344.',\n",
       "      'Srinivasan, M. S. 1975. Middle Miocene planktonic foraminifera from the Hut Bay Formation, Little Andaman Island, Bay of Bengal. Micropaleontology, 21, 133 - 150.',\n",
       "      'Chaproniere, G. C. H. 1981. Late Oligocene to early Miocene planktic Foraminiferida from Ashmore Reef No. 1 Well, northwest Australia. Alcheringa, 5, 103 - 131.',\n",
       "      'Olsson, R. K., Hemleben, C. & Berggren, W. A. 1999. Atlas of Paleocene planktonic Foraminifera. Smithsonian Contributions to Paleobiology, 252 pp.',\n",
       "      'Pearson, P. N., Olsson, R. K., Huber, B. T., Hemleben, C., Berggren, W. A. & Coxall, H. K. 2006. Overview of Eocene planktonic foraminiferal taxonomy, paleoecology, phylogeny, and biostratigraphy. Pp. 11 - 28 in P. N. Pearson, R. K. Olsson, B. T. Huber, C. Hemleben & W. A. Berggren (eds) Atlas of Eocene Planktonic Foraminifera. Cushman Foundation for Foraminiferal Research, Special Publication, 41.',\n",
       "      'Pearson, P. N. & Wade, B. S. 2015. Systematic taxonomy of exceptionally well-preserved planktonic foraminifera from the Eocene / Oligocene boundary of Tanzania. Cushman Foundation Special Publication, 45, 1 - 85.',\n",
       "      'Wade, B. S., Olsson, R. K., Pearson, P. N., Huber, B. T. & Berggren, W. A. 2018 a. Atlas of Oligocene planktonic Foraminifera. Cushman Foundation of Foraminiferal Research, Special Publication, 46, 530 pp.',\n",
       "      \"Spezzaferri, S., Kucera, M., Pearson, P. N., Wade, B. S., Rappo, S., Poole, C. R., Morard, R. & Stalder, C. 2015. Fossil and genetic evidence for the polyphyletic nature of the planktonic Foraminifera ' Globigerinoides ', and description of the new genus Trilobatus. PLoS ONE, 10, e 0128108.\",\n",
       "      'Longoria, J. F. & Gamper, M. A. 1995. Planktonic foraminiferal faunas across the Cretaceous - Tertiary succession of Mexico: implications for the Cretaceous - Tertiary boundary problem. Geology, 23, 329 - 332.',\n",
       "      'Aze, T., Ezard, T. H. G., Purvis, A., Coxall, H. K., Stewart, D. R. M., Wade, B. S. & Pearson, P. N. 2011. A phylogeny of Cenozoic macroperforate planktonic foraminifera from fossil data. Biological Reviews, 86, 900 - 927.',\n",
       "      \"Brummer, G. - J. A., Hemleben, C. & Spindler, M. 1987. Ontogeny of extant spinose planktonic foraminifera (Globigerinidae): a concept exemplified by Globigerinoides sacculifer (Brady) and G. ruber (d' Orbigny). Marine Micropaleontology, 12, 357 - 381.\",\n",
       "      'Hemleben, C., Spindler, M., Breitinger, I. & Ott, R. 1987. Morphological and physiological responses of Globigerinoides sacculifer (Brady) under varying laboratory conditions. Marine Micropaleontology, 12, 305 - 324.'],\n",
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       "     'description': '<i>Trilobatus trilobus</i> (Reuss, 1850)   <p>(Figs 6A&ndash;O, 16E, 17A, E)</p>  <p> 1850 <i>Globigerina triloba</i> Reuss: 374, pl. 47, fig. 11a&ndash;e.</p>   <p> 1957 <i>Globigerinoides triloba triloba</i> (Reuss); Bolli: 112, pl. 25, fig. 2a&ndash;c.</p>   <p> 1960 <i>Globigerinoides triloba triloba</i> (Reuss); Jenkins: 353, pl. 2, fig. 5a&ndash;c.</p>   <p> 1966 <i>Globigerinoides trilobus trilobus</i> (Reuss); Jenkins: 9, pl. 2, fig. 8a&ndash;c.</p>   <p> 1967 <i>Globigerinoides quadrilobatus trilobus</i> (Reuss) Closs: 340, pl. 1, fig. 22.</p>   <p> 1975 <i>Globigerinoides quadrilobatus trilobus</i> (Reuss) Srinivasan: 139, pl. 2, fig. 7.</p>   <p> 1983 <i>Globigerinoides triloba</i> (Reuss) Kennett &amp; Srinivasan: 62, pl. 13, figs 1&ndash;3.</p>   <p> 1994 <i>Globigerinoides trilobus</i> (Reuss) Loeblich &amp; Tappan: 107, pl. 206, figs 1&ndash;6.</p>   <p> 2012 <i>Globigerinoides trilobus</i> (Reuss) R&ouml;gl: 181, pl. 1, figs 1&ndash;7.</p>   <p> 2018 <i>Trilobatus trilobus</i> (Reuss) Spezzaferri, Olsson, &amp; Hemleben: 300&ndash;302, pl. 9.14, figs 1&ndash;21.</p>   <p> <b>Description.</b> Type of wall: spinose, coarsely cancellate (often termed polygonal or honeycomb) &lsquo; <i>sacculifer</i> - type&rsquo; wall texture. Test morphology: low trochospire, initially involute, later more evolute coiling, coiling direction random, three globose, near-spherical chambers in the final whorl, increasing rapidly in size as added, final chamber larger than all other chambers combined; sutures distinct, depressed, straight to slightly curved on both sides; umbilicus narrow; primary aperture interiomarginal-umbilical, a low arch, slit-like, no bordering rim; supplementary apertures small, placed at the sutures of the preceding chamber and third-previous chamber, often only one visible due to infilling or secondary calcification.</p>   <p>Note: description is based on the original description and species concept of Reuss (1850, p. 374), and also Kennett &amp; Srinivasan (1983, p. 62) and Rogl (2012, p. 182), but is here emended and extended.</p>  <p> <b>Remarks.</b> <i>Trilobatus trilobus</i> is distinguished from <i>T</i>. <i>immaturus</i> and <i>T</i>. <i>quadrilobatus</i> by having more rapidly enlarging chambers in the final whorl, resulting in a final chamber that is larger than all other chambers combined. The last chamber is more embracing of the earlier chambers owing to tighter coiling, whereas <i>T</i>. <i>immaturus</i> and <i>T</i>. <i>quadrilobatus</i> are more loosely coiled with generally more than three chambers in the final whorl (3.5 to 4). <i>Trilobatus trilobus</i> differs from <i>T</i>. <i>sacculifer</i> which possesses a sac-like final chamber and from <i>G</i>. <i>fistulosa</i> which has protuberances. <i>Globigerinoides altiaperturus</i> Bolli, 1957 differs primarily in possessing a high-arched, semi-circular primary aperture, whereas in <i>T</i>. <i>trilobus</i> it is low and slit-like.</p>   <p> <b>Type locality.</b> Reuss (1850, p. 374) first described <i>Globigerina triloba</i>, documenting its occurrence in five separate localities from four countries (Romania, Poland, Austria [two localities] and Italy; see also Rogl 2012, p. 181 for details). Rogl (2012) illustrated numerous specimens from these localities and designated a neotype (here reproduced in Fig. 17) from the Polish locality material of Reuss (1867). Therefore, the type locality is the salt mine Wieliczka, near Krakow, Poland.</p>   <p> <b>Taxonomic history.</b> Reuss (1850, p. 374) described the new species <i>Globigerina triloba</i> and illustrated a specimen that clearly exhibits multiple apertures (pl. 47, fig. 11a&ndash;e). Reuss (1850) also highlighted how the last chamber is larger than the preceding chambers. The sutures are deeply incised, giving this morphospecies a distinct &lsquo;three-lobed&rsquo; appearance, which explains the derivation of the name <i>trilobus</i>. After the introduction of <i>Globigerinoides</i> Cushman, 1927, <i>T</i>. <i>trilobus</i> was accordingly assigned to this genus by later workers (see synonymy list).</p>   <p> Bolli (1957, p. 113) named <i>Globigerinoides triloba altiapertura</i> (= <i>Globigerinoides altiaperturus</i>) as a subspecies for forms similar to <i>T</i>. <i>trilobus</i> and <i>T</i>. <i>immaturus</i> morphotypes, but possessing a higher arched, semi-circular primary aperture (see also Bolli &amp; Saunders 1985, p. 192). However, <i>G</i>. <i>altiaperturus</i> is probably not closely related to <i>T</i>. <i>trilobus</i> (see Kennett &amp; Srinivasan 1983, text-fig. 9; and Spezzaferri <i>et al</i>. 2015, fig. 5). Whilst <i>G</i>. <i>altiaperturus</i> is included in the above distinguishing features section, these morphospecies should not be confused morphologically due to their contrasting primary aperture morphology and wall texture.</p>   <p> <i>Trilobatus trilobus</i> has the most conservative morphology of the morphospecies in this study, as exemplified in Figure 6. This is mostly attributable to our strict concept of <i>T</i>. <i>trilobus</i> regarding the dominance of the final chamber; it must be larger than all of the preceding chambers combined (<i>sensu</i> Bolli 1957) (see Morphometrics and biometrics). <i>Trilobatus trilobus</i> intergrades with <i>T</i>. <i>immaturus</i>, so using the relative size of the last chamber as the primary delimiting character is arbitrary. However, it can be estimated without using scanning electron microscopy and is easily quantified using morphometrics, thus making it an excellent discerning feature. In the morphometric results, a <i>T</i>. <i>trilobus</i> final chamber dominance ratio (FCDR) must be greater than or equal to 1, whereas in <i>T</i>. <i>immaturus</i> the FCDR value must be less than 1 (Fig. 19). The ratio compares chamber area (Lm 2) from a two-dimensional image (see Methods). In <i>T</i>. <i>trilobus</i>, the final chamber volume should also be larger than the rest of the test volume. As the final chambers always have a regular, globose morphology (i.e. no flattening or extension as in <i>T</i>. <i>sacculifer</i>), specimens with ratios of more than 1 can also be used to equate to a larger chamber volume (Lm 3) ratio. Typically, the maximum diameter of the final chamber is also greater than the maximum diameter of the rest of the test. However, occasionally the first two chambers of the final whorl appear marginally wider than the last chamber (e.g. Fig. 6D), yet this is still considered a <i>T</i>. <i>trilobus</i> because of the dominant last chamber (i.e. an FCDR value of&gt; 1).</p>   <p> Conversely, if the final chamber is not larger than all preceding chambers, then the specimen cannot be <i>T</i>. <i>trilobus</i>. Essentially, this means that <i>T</i>. <i>trilobus</i> cannot possess a kummerform final chamber (<i>sensu</i> Berger 1969; see also Olsson 1973). This consequently results in many specimens with kummerform final chambers being assigned to <i>T</i>. <i>immaturus</i> (e.g. Fig. 7A&ndash;D; see <i>T</i>. <i>immaturus</i>, Remarks).</p>   <p> <i>Trilobatus trilobus</i> has a <i>sacculifer</i> - type wall texture (Fig. 6C), although this is commonly obscured by secondary, &lsquo;gametogenic&rsquo; calcite. In particular, the initial chambers of the final whorl are more heavily calcified and the <i>sacculifer</i> - type wall texture is less evident (e.g. Fig. 6C). Secondary calcification also affects the preceding whorl on the spiral side, and the small chambers are often indistinct. If the preceding whorl cannot be clearly observed to identify the spiral side, it is distinguished by the position of the largest aperture. The umbilical side possesses an extraumbilical-umbilical aperture, whereas the spiral side has a central supplementary aperture placed at the base of the final chamber at the sutures of the preceding and third-preceding chambers.</p>',\n",
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       "     'references': ['Reuss, A. E. 1850. Neue Foraminiferen aus den Schichten des osterreichischen Terti ¨ arbeckens. Denkschriften der Kaiserlichen Akademie der Wissenschaften, Mathematisch-Naturwissenschaftliche Classe, 1, 365 - 390.',\n",
       "      \"LeRoy, L. W. 1939. Some small foraminifers, ostracoda and otoliths from the Neogene (' Miocene') of the Rokan-Tapanoeli area, Central Sumatra. Natuurkundig Tijdschrift voor Nederlandsch-Indi ¨ e, 99, 215 - 296.\",\n",
       "      \"d' Orbigny, A. 1846. Foraminif`eres fossils du Bassin tertiaire de Vienne (Autriche). Gide et Comp, Paris, 312 pp.\",\n",
       "      'Kennett, J. P. & Srinivasan, M. S. 1983. Neogene planktonic Foraminifera, a phylogenetic atlas. Hutchinson Ross, Stroudsburg, Pennsylvania, 265 pp.',\n",
       "      'Bolli, H. M. 1957. Planktonic foraminifera from the Oligocene - Miocene Cipero and Lengua Formations of Trinidad, B. W. I. Pp. 97 - 123 in A. R. Loeblich Jr, H. Tappan, J. P. Beckmann, H. M. Bolli, E. Montanaro Gallitelli & J. C. Troelsen (eds) Studies in Foraminifera. United States National Museum Bulletin, Smithsonian Institution, Washington DC, 213.',\n",
       "      'Reuss, A. E. 1867. Die fossile Fauna der Steinsalzablagerungen von Wieliczka in Galizien. Sitzungsberichte der kaiserlichen Akademie der Wissenschaften in Wien, mathematisch-naturwissenschaftliche Classe, 1. Abtheilung, 55, 17 - 82.',\n",
       "      'Cushman, J. A. 1927. An outline of the re-classification of the foraminifera. Contributions from the Cushman Laboratory for Foraminiferal Research, 3, 1 - 105.',\n",
       "      'Bolli, H. M. & Saunders, J. B. 1985. Oligocene to Holocene low latitude planktic foraminifera. Pp. 155 - 262 in H. M. Bolli, J. B. Saunders & K. Perch-Nielsen (eds) Plankton stratigraphy. Cambridge University Press, Cambridge.',\n",
       "      \"Spezzaferri, S., Kucera, M., Pearson, P. N., Wade, B. S., Rappo, S., Poole, C. R., Morard, R. & Stalder, C. 2015. Fossil and genetic evidence for the polyphyletic nature of the planktonic Foraminifera ' Globigerinoides ', and description of the new genus Trilobatus. PLoS ONE, 10, e 0128108.\",\n",
       "      'Brady, H. B. 1877. Supplementary note on the Foraminifera of the Chalk (?) of the New Britain Group. Geological Magazine, New Series, Decade 2, 4, 534 - 536.',\n",
       "      'Berger, W. H. 1969. Kummerform foraminifera as clues to oceanic environments (abstract). Bulletin of the American Association of Petroleum Geologists, 53, 706.',\n",
       "      'Olsson, R. K. 1973. What is a kummerform planktonic foraminifer? Journal of Paleontology, 47, 327 - 329.'],\n",
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       "     'description': 'Figure 9. Morphological variation in the final sac-like chamber(s) of Trilobatus sacculifer (Brady, 1877). A–G, I, ODP Site 1115, Woodlark Basin, western Pacific; 11H/04/25–27 cm (A, B, I, spiral view, in A note elongated sac-like chamber; C–G, umbilical view, in D note kummerform sac-like chamber, in F note large, asymmetrical aperture with surrounding imperforate area); H, J–P, ODP Site 871, Limalok Guyot, Marshall Islands, equatorial Pacific 3H/03/60–62 cm (H, J–N umbilical view, in J note lobate sac-like chamber, in K note kummerform sac-like chamber, in L–N note two sac-like chambers; O, P, spiral view; note three sac-like chambers); Q, R, GLOW-3, south-west Indian Ocean (cross sectional view of wall, showing relict spines embedded within wall and chamber layers). Scale bars: A–P = 100 Lm; Q, R = 20 Lm.',\n",
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     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zen.next_page(hits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "id = '10884504'\n",
    "rec = zen.get_record(id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'title': 'Landsat-based soil spectral indices for pan-EU 2000-2022: Bimonthly spectral indices (2022-11-01/2022-12-31)',\n",
       " 'doi': '10.5281/zenodo.10884504',\n",
       " 'publication_date': '2024-03-27',\n",
       " 'description': '<h2>Description</h2>\\n\\n<p>This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.</p>\\n\\n<h3>General Description</h3>\\n\\n<p>This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:</p>\\n\\n<ul>\\n\\t<li><strong>Long-term trend (2000-2022):</strong><br>\\n        The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022. </li>\\n\\t<li><strong>Annual Landsat P25:</strong><br>\\n        Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI. </li>\\n\\t<li><strong>Annual Landsat P50:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual Landsat P75:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual aggregated indices:</strong><br>\\n        This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.</li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br>\\n        Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method. </li>\\n\\t<li><strong>Bimonthly spectral indices:</strong><br>\\n        This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.</li>\\n</ul>\\n\\n<h3>Related identifiers</h3>\\n\\n<ul>\\n\\t<li><strong>Long-term trend:</strong><br> <a href=\"https://zenodo.org/records/10776891\">2000-2022</a></li>\\n\\t<li><strong>Annual Landsat P25:</strong><br> <a href=\"https://zenodo.org/records/10777969\">2000</a> <a href=\"https://zenodo.org/records/10777971\">2001</a> <a href=\"https://zenodo.org/records/10777973\">2002</a> <a href=\"https://zenodo.org/records/10777975\">2003</a> <a href=\"https://zenodo.org/records/10777977\">2004</a> <a href=\"https://zenodo.org/records/10777979\">2005</a> <a href=\"https://zenodo.org/records/10777981\">2006</a> <a href=\"https://zenodo.org/records/10777983\">2007</a> <a href=\"https://zenodo.org/records/10777985\">2008</a> <a href=\"https://zenodo.org/records/10777987\">2009</a> <a href=\"https://zenodo.org/records/10777989\">2010</a> <a href=\"https://zenodo.org/records/10777991\">2011</a> <a href=\"https://zenodo.org/records/10777993\">2012</a> <a href=\"https://zenodo.org/records/10777995\">2013</a> <a href=\"https://zenodo.org/records/10777997\">2014</a> <a href=\"https://zenodo.org/records/10777999\">2015</a> <a href=\"https://zenodo.org/records/10778001\">2016</a> <a href=\"https://zenodo.org/records/10778003\">2017</a> <a href=\"https://zenodo.org/records/10778005\">2018</a> <a href=\"https://zenodo.org/records/10778007\">2019</a> <a href=\"https://zenodo.org/records/10778009\">2020</a> <a href=\"https://zenodo.org/records/10778011\">2021</a> <a href=\"https://zenodo.org/records/10778013\">2022</a></li>\\n\\t<li><strong>Annual Landsat P50:</strong><br> <a href=\"https://zenodo.org/records/10851076\">2000</a> <a href=\"https://zenodo.org/records/10864828\">2001</a> <a href=\"https://zenodo.org/records/10864838\">2002</a> <a href=\"https://zenodo.org/records/10864852\">2003</a> <a href=\"https://zenodo.org/records/10864874\">2004</a> <a href=\"https://zenodo.org/records/10864896\">2005</a> <a href=\"https://zenodo.org/records/10864952\">2006</a> <a href=\"https://zenodo.org/records/10865027\">2007</a> <a href=\"https://zenodo.org/records/10865253\">2008</a> <a href=\"https://zenodo.org/records/10865315\">2009</a> <a href=\"https://zenodo.org/records/10865398\">2010</a> <a href=\"https://zenodo.org/records/10865486\">2011</a> <a href=\"https://zenodo.org/records/10865536\">2012</a> <a href=\"https://zenodo.org/records/10865630\">2013</a> <a href=\"https://zenodo.org/records/10865721\">2014</a> <a href=\"https://zenodo.org/records/10865803\">2015</a> <a href=\"https://zenodo.org/records/10865857\">2016</a> <a href=\"https://zenodo.org/records/10865905\">2017</a> <a href=\"https://zenodo.org/records/10865920\">2018</a> <a href=\"https://zenodo.org/records/10865948\">2019</a> <a href=\"https://zenodo.org/records/10865973\">2020</a> <a href=\"https://zenodo.org/records/10865992\">2021</a> <a href=\"https://zenodo.org/records/10851078\">2022</a></li>\\n\\t<li><strong>Annual Landsat P75:</strong><br> <a href=\"https://zenodo.org/records/10851080\">2000</a> <a href=\"https://zenodo.org/records/10866025\">2001</a> <a href=\"https://zenodo.org/records/10866071\">2002</a> <a href=\"https://zenodo.org/records/10866095\">2003</a> <a href=\"https://zenodo.org/records/10866108\">2004</a> <a href=\"https://zenodo.org/records/10866121\">2005</a> <a href=\"https://zenodo.org/records/10866153\">2006</a> <a href=\"https://zenodo.org/records/10866194\">2007</a> <a href=\"https://zenodo.org/records/10866224\">2008</a> <a href=\"https://zenodo.org/records/10866256\">2009</a> <a href=\"https://zenodo.org/records/10866294\">2010</a> <a href=\"https://zenodo.org/records/10866319\">2011</a> <a href=\"https://zenodo.org/records/10866337\">2012</a> <a href=\"https://zenodo.org/records/10866367\">2013</a> <a href=\"https://zenodo.org/records/10866410\">2014</a> <a href=\"https://zenodo.org/records/10866436\">2015</a> <a href=\"https://zenodo.org/records/10866474\">2016</a> <a href=\"https://zenodo.org/records/10866496\">2017</a> <a href=\"https://zenodo.org/records/10866514\">2018</a> <a href=\"https://zenodo.org/records/10866533\">2019</a> <a href=\"https://zenodo.org/records/10866572\">2020</a> <a href=\"https://zenodo.org/records/10866603\">2021</a> <a href=\"https://zenodo.org/records/10851082\">2022</a></li>\\n\\t<li><strong>Annual aggregated indices:</strong><br> <a href=\"https://zenodo.org/records/10777868\">2000</a> <a href=\"https://zenodo.org/records/10777870\">2001</a> <a href=\"https://zenodo.org/records/10777872\">2002</a> <a href=\"https://zenodo.org/records/10777874\">2003</a> <a href=\"https://zenodo.org/records/10777876\">2004</a> <a href=\"https://zenodo.org/records/10777878\">2005</a> <a href=\"https://zenodo.org/records/10777880\">2006</a> <a href=\"https://zenodo.org/records/10777882\">2007</a> <a href=\"https://zenodo.org/records/10777884\">2008</a> <a href=\"https://zenodo.org/records/10777886\">2009</a> <a href=\"https://zenodo.org/records/10777888\">2010</a> <a href=\"https://zenodo.org/records/10777890\">2011</a> <a href=\"https://zenodo.org/records/10777892\">2012</a> <a href=\"https://zenodo.org/records/10777894\">2013</a> <a href=\"https://zenodo.org/records/10777896\">2014</a> <a href=\"https://zenodo.org/records/10777898\">2015</a> <a href=\"https://zenodo.org/records/10777900\">2016</a> <a href=\"https://zenodo.org/records/10777902\">2017</a> <a href=\"https://zenodo.org/records/10777904\">2018</a> <a href=\"https://zenodo.org/records/10777906\">2019</a> <a href=\"https://zenodo.org/records/10777908\">2020</a> <a href=\"https://zenodo.org/records/10777910\">2021</a> <a href=\"https://zenodo.org/records/10777912\">2022</a></li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br> 2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)</li>\\n    <li><strong>Bimonthly spectral indices:</strong><br> 2000 (<a href=\"https://zenodo.org/records/10884234\">Jan</a> <a href=\"https://zenodo.org/records/10884272\">Mar</a> <a href=\"https://zenodo.org/records/10884296\">May</a> <a href=\"https://zenodo.org/records/10884311\">Jul</a> <a href=\"https://zenodo.org/records/10884340\">Sep</a> <a href=\"https://zenodo.org/records/10884358\">Nov</a>) 2022 (<a href=\"https://zenodo.org/records/10884387\">Jan</a> <a href=\"https://zenodo.org/records/10884406\">Mar</a> <a href=\"https://zenodo.org/records/10884419\">May</a> <a href=\"https://zenodo.org/records/10884447\">Jul</a> <a href=\"https://zenodo.org/records/10884482\">Sep</a> <a href=\"https://zenodo.org/records/10884503\">Nov</a>)</li>\\n</ul>\\n\\n<h3>Data Details</h3>\\n\\n<ul>\\n\\t<li><strong>Time period:</strong> 2000&ndash;2022</li>\\n\\t<li><strong>Type of data:</strong> soil health data cube, with selected indices relevant to soil health monitoring.</li>\\n\\t<li><strong>How the data was collected or derived:</strong> Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the <a href=\"https://www.google.com/url?q=https://github.com/scikit-map/scikit-map&amp;sa=D&amp;source=editors&amp;ust=1709416957187420&amp;usg=AOvVaw0xPIjlSKqwC6IUCHDWnLlO\">Scikit-map</a> Python package.</li>\\n\\t<li><strong>Statistical methods used:</strong> band operation, time series analysis and statistics calculation</li>\\n\\t<li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Svalbard. </li>\\n\\t<li><strong>Coordinate reference system:</strong> EPSG:3035</li>\\n\\t<li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900,000, 899,000, 7,401,000, 5,501,000)</li>\\n\\t<li><strong>Spatial resolution:</strong> 30m</li>\\n\\t<li><strong>Image size:</strong> 216,700P x 153,400L</li>\\n\\t<li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li>\\n</ul>\\n\\n<h3>Support</h3>\\n\\n<p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)</p>\\n\\n<h3>Name convention</h3>\\n\\n<p>To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p>\\n\\n<ol>\\n\\t<li><strong>generic variable name:</strong> ndti.min.slopes = the long term slope of minNDTI</li>\\n\\t<li><strong>variable procedure combination:</strong> glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI</li>\\n\\t<li><strong>Position in the probability distribution/variable type:</strong> m = mean | sd = standard deviation | n = number of observations | qa = quality assessment</li>\\n\\t<li><strong>Spatial support:</strong> 30m</li>\\n\\t<li><strong>Depth reference:</strong> s = surface</li>\\n\\t<li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li>\\n\\t<li><strong>Time reference end time:</strong> 20221231 = 2022-12-31</li>\\n\\t<li><strong>Bounding box:</strong> go = global (without Antarctica)</li>\\n\\t<li><strong>EPSG code:</strong> epsg.3035</li>\\n\\t<li><strong>Version code:</strong> v20231218 = 2023-12-18 (creation date)</li>\\n</ol>',\n",
       " 'access_right': 'open',\n",
       " 'creators': [{'name': 'Tian, Xuemeng',\n",
       "   'affiliation': 'OpenGeoHub',\n",
       "   'orcid': '0009-0009-0243-608X'},\n",
       "  {'name': 'Consoli, Davide',\n",
       "   'affiliation': 'OpenGeoHub',\n",
       "   'orcid': '0000-0003-4007-2896'},\n",
       "  {'name': 'Leandro Parente',\n",
       "   'affiliation': 'OpenGeoHub',\n",
       "   'orcid': '0000-0003-1589-0467'},\n",
       "  {'name': 'Ho, Yufeng',\n",
       "   'affiliation': 'OpenGeoHub',\n",
       "   'orcid': '0000-0003-0956-4606'},\n",
       "  {'name': 'Hengl, Tom',\n",
       "   'affiliation': 'OpenGeoHub',\n",
       "   'orcid': '0000-0002-9921-5129'}],\n",
       " 'version': 'v20240319',\n",
       " 'resource_type': {'title': 'Dataset', 'type': 'dataset'},\n",
       " 'license': {'id': 'cc-zero'},\n",
       " 'grants': [{'code': '101086179',\n",
       "   'internal_id': '10.13039/501100000780::101086179',\n",
       "   'funder': {'name': 'European Commission',\n",
       "    'doi': '10.13039/501100000780',\n",
       "    'acronym': 'EC'},\n",
       "   'title': 'AI4SoilHealth: Accelerating collection and use of soil health information using AI technology to support the Soil Deal for Europe and EU Soil Observatory',\n",
       "   'acronym': 'AI4SoilHealth',\n",
       "   'program': 'HE',\n",
       "   'url': 'https://cordis.europa.eu/projects/101086179'}],\n",
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       "    'iiif_canvas': 'https://zenodo.org/api/iiif/record:10884504/canvas/ndsi_glad.landast.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif',\n",
       "    'iiif_base': 'https://zenodo.org/api/iiif/record:10884504:ndsi_glad.landast.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif',\n",
       "    'iiif_info': 'https://zenodo.org/api/iiif/record:10884504:ndsi_glad.landast.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif/info.json',\n",
       "    'iiif_api': 'https://zenodo.org/api/iiif/record:10884504:ndsi_glad.landast.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif/full/full/0/default.png'}},\n",
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       "   'updated': '2024-03-27T07:45:21.497638+00:00',\n",
       "   'status': 'completed',\n",
       "   'metadata': None,\n",
       "   'mimetype': 'image/tiff',\n",
       "   'version_id': 'b85a622c-2c99-4143-b4f5-131da1120cc1',\n",
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       "    'content': 'https://zenodo.org/api/records/10884504/files/ndti_glad.landast.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif/content',\n",
       "    'iiif_canvas': 'https://zenodo.org/api/iiif/record:10884504/canvas/ndti_glad.landast.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif',\n",
       "    'iiif_base': 'https://zenodo.org/api/iiif/record:10884504:ndti_glad.landast.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif',\n",
       "    'iiif_info': 'https://zenodo.org/api/iiif/record:10884504:ndti_glad.landast.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif/info.json',\n",
       "    'iiif_api': 'https://zenodo.org/api/iiif/record:10884504:ndti_glad.landast.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif/full/full/0/default.png'}},\n",
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       "   'storage_class': 'L',\n",
       "   'checksum': 'md5:a5e6c72fcb474f834ff13c57e11821ab',\n",
       "   'size': 5699448458,\n",
       "   'created': '2024-03-27T07:45:21.513847+00:00',\n",
       "   'updated': '2024-03-27T07:45:21.532236+00:00',\n",
       "   'status': 'completed',\n",
       "   'metadata': None,\n",
       "   'mimetype': 'image/tiff',\n",
       "   'version_id': 'abcf2b85-d69c-4262-9466-966a0d447c74',\n",
       "   'file_id': 'd0f32662-f0f8-4eb1-a8f3-1a21e1a5caae',\n",
       "   'bucket_id': '0d49c8cc-42ec-463b-8781-6bd71483c05f',\n",
       "   'links': {'self': 'https://zenodo.org/api/records/10884504/files/savi_glad.landsat.ard2.seasconv.bimonthly.m_30m_s_20221101_20221231_eu_epsg.3035_v20231218.tif',\n",
       "    'content': 'https://zenodo.org/api/records/10884504/files/savi_glad.landsat.ard2.seasconv.bimonthly.m_30m_s_20221101_20221231_eu_epsg.3035_v20231218.tif/content',\n",
       "    'iiif_canvas': 'https://zenodo.org/api/iiif/record:10884504/canvas/savi_glad.landsat.ard2.seasconv.bimonthly.m_30m_s_20221101_20221231_eu_epsg.3035_v20231218.tif',\n",
       "    'iiif_base': 'https://zenodo.org/api/iiif/record:10884504:savi_glad.landsat.ard2.seasconv.bimonthly.m_30m_s_20221101_20221231_eu_epsg.3035_v20231218.tif',\n",
       "    'iiif_info': 'https://zenodo.org/api/iiif/record:10884504:savi_glad.landsat.ard2.seasconv.bimonthly.m_30m_s_20221101_20221231_eu_epsg.3035_v20231218.tif/info.json',\n",
       "    'iiif_api': 'https://zenodo.org/api/iiif/record:10884504:savi_glad.landsat.ard2.seasconv.bimonthly.m_30m_s_20221101_20221231_eu_epsg.3035_v20231218.tif/full/full/0/default.png'}},\n",
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       "   'updated': '2024-03-27T07:45:21.601098+00:00',\n",
       "   'status': 'completed',\n",
       "   'metadata': None,\n",
       "   'mimetype': 'image/tiff',\n",
       "   'version_id': '4a41dcdd-73ae-4a53-b686-aa2638236d94',\n",
       "   'file_id': '153e0c0b-09fb-4f46-b9d1-af44674a0293',\n",
       "   'bucket_id': '0d49c8cc-42ec-463b-8781-6bd71483c05f',\n",
       "   'links': {'self': 'https://zenodo.org/api/records/10884504/files/fapar_glad.landsat.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif',\n",
       "    'content': 'https://zenodo.org/api/records/10884504/files/fapar_glad.landsat.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif/content',\n",
       "    'iiif_canvas': 'https://zenodo.org/api/iiif/record:10884504/canvas/fapar_glad.landsat.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif',\n",
       "    'iiif_base': 'https://zenodo.org/api/iiif/record:10884504:fapar_glad.landsat.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif',\n",
       "    'iiif_info': 'https://zenodo.org/api/iiif/record:10884504:fapar_glad.landsat.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif/info.json',\n",
       "    'iiif_api': 'https://zenodo.org/api/iiif/record:10884504:fapar_glad.landsat.ard2.seasconv_m_30m_s_20221101_20221231_eu_epsg.3035_v20231127.tif/full/full/0/default.png'}},\n",
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       "   'updated': '2024-03-27T07:45:21.630867+00:00',\n",
       "   'status': 'completed',\n",
       "   'metadata': None,\n",
       "   'mimetype': 'image/png',\n",
       "   'version_id': 'b33c7a77-4dd4-43a7-9183-2e433073f087',\n",
       "   'file_id': '10f9264b-2ec3-474f-bf80-1679f82f01a3',\n",
       "   'bucket_id': '0d49c8cc-42ec-463b-8781-6bd71483c05f',\n",
       "   'links': {'self': 'https://zenodo.org/api/records/10884504/files/00_preview.png',\n",
       "    'content': 'https://zenodo.org/api/records/10884504/files/00_preview.png/content',\n",
       "    'iiif_canvas': 'https://zenodo.org/api/iiif/record:10884504/canvas/00_preview.png',\n",
       "    'iiif_base': 'https://zenodo.org/api/iiif/record:10884504:00_preview.png',\n",
       "    'iiif_info': 'https://zenodo.org/api/iiif/record:10884504:00_preview.png/info.json',\n",
       "    'iiif_api': 'https://zenodo.org/api/iiif/record:10884504:00_preview.png/full/full/0/default.png'}}],\n",
       " 'default_preview': None,\n",
       " 'order': []}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec.list_files()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Drafts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "import http.client as http_client\n",
    "http_client.HTTPConnection.debuglevel = 1\n",
    "\n",
    "# You must initialize logging, otherwise you'll not see debug output.\n",
    "logging.basicConfig()\n",
    "logging.getLogger().setLevel(logging.DEBUG)\n",
    "requests_log = logging.getLogger(\"requests.packages.urllib3\")\n",
    "requests_log.setLevel(logging.DEBUG)\n",
    "requests_log.propagate = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zen import InvenioRDM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "token='fA2zvScoqZstX0vxNQ0XDPZKoNGhyNS45dXM3ex9kmfj4uywgS3ytQdo5Jar'\n",
    "zen = InvenioRDM('https://zenodo.org', token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): zenodo.org:443\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "send: b'GET /api/user/records?size=10&page=1&allversions=False HTTP/1.1\\r\\nHost: zenodo.org\\r\\nUser-Agent: python-requests/2.31.0\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept: application/json\\r\\nConnection: keep-alive\\r\\nAuthorization: Bearer fA2zvScoqZstX0vxNQ0XDPZKoNGhyNS45dXM3ex9kmfj4uywgS3ytQdo5Jar\\r\\n\\r\\n'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:urllib3.connectionpool:https://zenodo.org:443 \"GET /api/user/records?size=10&page=1&allversions=False HTTP/1.1\" 200 None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reply: 'HTTP/1.1 200 OK\\r\\n'\n",
      "header: server: nginx\n",
      "header: date: Fri, 05 Apr 2024 13:45:17 GMT\n",
      "header: content-type: application/json\n",
      "header: transfer-encoding: chunked\n",
      "header: vary: Accept-Encoding\n",
      "header: access-control-allow-origin: *\n",
      "header: access-control-expose-headers: Content-Type, ETag, Link, X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Reset\n",
      "header: x-ratelimit-limit: 133\n",
      "header: x-ratelimit-remaining: 132\n",
      "header: x-ratelimit-reset: 1712324777\n",
      "header: retry-after: 59\n",
      "header: permissions-policy: interest-cohort=()\n",
      "header: x-frame-options: sameorigin\n",
      "header: x-xss-protection: 1; mode=block\n",
      "header: x-content-type-options: nosniff\n",
      "header: content-security-policy: default-src 'self' fonts.googleapis.com *.gstatic.com data: 'unsafe-inline' 'unsafe-eval' blob: zenodo-broker.web.cern.ch zenodo-broker-qa.web.cern.ch maxcdn.bootstrapcdn.com cdnjs.cloudflare.com ajax.googleapis.com webanalytics.web.cern.ch\n",
      "header: strict-transport-security: max-age=31556926; includeSubDomains\n",
      "header: referrer-policy: strict-origin-when-cross-origin\n",
      "header: strict-transport-security: max-age=15768000\n",
      "header: x-request-id: fcba45fd65a927043453b45ab6d02226\n",
      "header: content-encoding: gzip\n",
      "header: set-cookie: 5569e5a730cade8ff2b54f1e815f3670=101636a9c4b25cf5f8a4d19b488ffa7c; path=/; HttpOnly; Secure; SameSite=None\n"
     ]
    }
   ],
   "source": [
    "hits = zen.list_drafts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "     'self_iiif_manifest': 'https://zenodo.org/api/iiif/record:10911935/manifest',\n",
       "     'self_iiif_sequence': 'https://zenodo.org/api/iiif/record:10911935/sequence/default',\n",
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       "     'parent_html': 'https://zenodo.org/records/10911871',\n",
       "     'parent_doi': 'https://zenodo.org/doi/',\n",
       "     'self_iiif_manifest': 'https://zenodo.org/api/iiif/record:10911872/manifest',\n",
       "     'self_iiif_sequence': 'https://zenodo.org/api/iiif/record:10911872/sequence/default',\n",
       "     'files': 'https://zenodo.org/api/records/10911872/files',\n",
       "     'media_files': 'https://zenodo.org/api/records/10911872/media-files',\n",
       "     'archive': 'https://zenodo.org/api/records/10911872/files-archive',\n",
       "     'archive_media': 'https://zenodo.org/api/records/10911872/media-files-archive',\n",
       "     'latest': 'https://zenodo.org/api/records/10911872/versions/latest',\n",
       "     'latest_html': 'https://zenodo.org/records/10911872/latest',\n",
       "     'draft': 'https://zenodo.org/api/records/10911872/draft',\n",
       "     'versions': 'https://zenodo.org/api/records/10911872/versions',\n",
       "     'access_links': 'https://zenodo.org/api/records/10911872/access/links',\n",
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       "     'access': 'https://zenodo.org/api/records/10911872/access',\n",
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       "     'communities': 'https://zenodo.org/api/records/10911872/communities',\n",
       "     'communities-suggestions': 'https://zenodo.org/api/records/10911872/communities-suggestions',\n",
       "     'requests': 'https://zenodo.org/api/records/10911872/requests'},\n",
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       "    'files': [],\n",
       "    'owners': [{'id': 589458}],\n",
       "    'status': 'published',\n",
       "    'stats': {'downloads': 0,\n",
       "     'unique_downloads': 0,\n",
       "     'views': 0,\n",
       "     'unique_views': 0,\n",
       "     'version_downloads': 0,\n",
       "     'version_unique_downloads': 0,\n",
       "     'version_unique_views': 0,\n",
       "     'version_views': 0},\n",
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       "   {'created': '2024-03-27T07:45:21.371598+00:00',\n",
       "    'modified': '2024-03-27T07:45:21.922078+00:00',\n",
       "    'id': 10884504,\n",
       "    'conceptrecid': '10884503',\n",
       "    'doi': '10.5281/zenodo.10884504',\n",
       "    'conceptdoi': '10.5281/zenodo.10884503',\n",
       "    'doi_url': 'https://doi.org/10.5281/zenodo.10884504',\n",
       "    'metadata': {'title': 'Landsat-based soil spectral indices for pan-EU 2000-2022: Bimonthly spectral indices (2022-11-01/2022-12-31)',\n",
       "     'doi': '10.5281/zenodo.10884504',\n",
       "     'publication_date': '2024-03-27',\n",
       "     'description': '<h2>Description</h2>\\n\\n<p>This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.</p>\\n\\n<h3>General Description</h3>\\n\\n<p>This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:</p>\\n\\n<ul>\\n\\t<li><strong>Long-term trend (2000-2022):</strong><br>\\n        The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022. </li>\\n\\t<li><strong>Annual Landsat P25:</strong><br>\\n        Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI. </li>\\n\\t<li><strong>Annual Landsat P50:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual Landsat P75:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual aggregated indices:</strong><br>\\n        This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.</li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br>\\n        Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method. </li>\\n\\t<li><strong>Bimonthly spectral indices:</strong><br>\\n        This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.</li>\\n</ul>\\n\\n<h3>Related identifiers</h3>\\n\\n<ul>\\n\\t<li><strong>Long-term trend:</strong><br> <a href=\"https://zenodo.org/records/10776891\">2000-2022</a></li>\\n\\t<li><strong>Annual Landsat P25:</strong><br> <a href=\"https://zenodo.org/records/10777969\">2000</a> <a href=\"https://zenodo.org/records/10777971\">2001</a> <a href=\"https://zenodo.org/records/10777973\">2002</a> <a href=\"https://zenodo.org/records/10777975\">2003</a> <a href=\"https://zenodo.org/records/10777977\">2004</a> <a href=\"https://zenodo.org/records/10777979\">2005</a> <a href=\"https://zenodo.org/records/10777981\">2006</a> <a href=\"https://zenodo.org/records/10777983\">2007</a> <a href=\"https://zenodo.org/records/10777985\">2008</a> <a href=\"https://zenodo.org/records/10777987\">2009</a> <a href=\"https://zenodo.org/records/10777989\">2010</a> <a href=\"https://zenodo.org/records/10777991\">2011</a> <a href=\"https://zenodo.org/records/10777993\">2012</a> <a href=\"https://zenodo.org/records/10777995\">2013</a> <a href=\"https://zenodo.org/records/10777997\">2014</a> <a href=\"https://zenodo.org/records/10777999\">2015</a> <a href=\"https://zenodo.org/records/10778001\">2016</a> <a href=\"https://zenodo.org/records/10778003\">2017</a> <a href=\"https://zenodo.org/records/10778005\">2018</a> <a href=\"https://zenodo.org/records/10778007\">2019</a> <a href=\"https://zenodo.org/records/10778009\">2020</a> <a href=\"https://zenodo.org/records/10778011\">2021</a> <a href=\"https://zenodo.org/records/10778013\">2022</a></li>\\n\\t<li><strong>Annual Landsat P50:</strong><br> <a href=\"https://zenodo.org/records/10851076\">2000</a> <a href=\"https://zenodo.org/records/10864828\">2001</a> <a href=\"https://zenodo.org/records/10864838\">2002</a> <a href=\"https://zenodo.org/records/10864852\">2003</a> <a href=\"https://zenodo.org/records/10864874\">2004</a> <a href=\"https://zenodo.org/records/10864896\">2005</a> <a href=\"https://zenodo.org/records/10864952\">2006</a> <a href=\"https://zenodo.org/records/10865027\">2007</a> <a href=\"https://zenodo.org/records/10865253\">2008</a> <a href=\"https://zenodo.org/records/10865315\">2009</a> <a href=\"https://zenodo.org/records/10865398\">2010</a> <a href=\"https://zenodo.org/records/10865486\">2011</a> <a href=\"https://zenodo.org/records/10865536\">2012</a> <a href=\"https://zenodo.org/records/10865630\">2013</a> <a href=\"https://zenodo.org/records/10865721\">2014</a> <a href=\"https://zenodo.org/records/10865803\">2015</a> <a href=\"https://zenodo.org/records/10865857\">2016</a> <a href=\"https://zenodo.org/records/10865905\">2017</a> <a href=\"https://zenodo.org/records/10865920\">2018</a> <a href=\"https://zenodo.org/records/10865948\">2019</a> <a href=\"https://zenodo.org/records/10865973\">2020</a> <a href=\"https://zenodo.org/records/10865992\">2021</a> <a href=\"https://zenodo.org/records/10851078\">2022</a></li>\\n\\t<li><strong>Annual Landsat P75:</strong><br> <a href=\"https://zenodo.org/records/10851080\">2000</a> <a href=\"https://zenodo.org/records/10866025\">2001</a> <a href=\"https://zenodo.org/records/10866071\">2002</a> <a href=\"https://zenodo.org/records/10866095\">2003</a> <a href=\"https://zenodo.org/records/10866108\">2004</a> <a href=\"https://zenodo.org/records/10866121\">2005</a> <a href=\"https://zenodo.org/records/10866153\">2006</a> <a href=\"https://zenodo.org/records/10866194\">2007</a> <a href=\"https://zenodo.org/records/10866224\">2008</a> <a href=\"https://zenodo.org/records/10866256\">2009</a> <a href=\"https://zenodo.org/records/10866294\">2010</a> <a href=\"https://zenodo.org/records/10866319\">2011</a> <a href=\"https://zenodo.org/records/10866337\">2012</a> <a href=\"https://zenodo.org/records/10866367\">2013</a> <a href=\"https://zenodo.org/records/10866410\">2014</a> <a href=\"https://zenodo.org/records/10866436\">2015</a> <a href=\"https://zenodo.org/records/10866474\">2016</a> <a href=\"https://zenodo.org/records/10866496\">2017</a> <a href=\"https://zenodo.org/records/10866514\">2018</a> <a href=\"https://zenodo.org/records/10866533\">2019</a> <a href=\"https://zenodo.org/records/10866572\">2020</a> <a href=\"https://zenodo.org/records/10866603\">2021</a> <a href=\"https://zenodo.org/records/10851082\">2022</a></li>\\n\\t<li><strong>Annual aggregated indices:</strong><br> <a href=\"https://zenodo.org/records/10777868\">2000</a> <a href=\"https://zenodo.org/records/10777870\">2001</a> <a href=\"https://zenodo.org/records/10777872\">2002</a> <a href=\"https://zenodo.org/records/10777874\">2003</a> <a href=\"https://zenodo.org/records/10777876\">2004</a> <a href=\"https://zenodo.org/records/10777878\">2005</a> <a href=\"https://zenodo.org/records/10777880\">2006</a> <a href=\"https://zenodo.org/records/10777882\">2007</a> <a href=\"https://zenodo.org/records/10777884\">2008</a> <a href=\"https://zenodo.org/records/10777886\">2009</a> <a href=\"https://zenodo.org/records/10777888\">2010</a> <a href=\"https://zenodo.org/records/10777890\">2011</a> <a href=\"https://zenodo.org/records/10777892\">2012</a> <a href=\"https://zenodo.org/records/10777894\">2013</a> <a href=\"https://zenodo.org/records/10777896\">2014</a> <a href=\"https://zenodo.org/records/10777898\">2015</a> <a href=\"https://zenodo.org/records/10777900\">2016</a> <a href=\"https://zenodo.org/records/10777902\">2017</a> <a href=\"https://zenodo.org/records/10777904\">2018</a> <a href=\"https://zenodo.org/records/10777906\">2019</a> <a href=\"https://zenodo.org/records/10777908\">2020</a> <a href=\"https://zenodo.org/records/10777910\">2021</a> <a href=\"https://zenodo.org/records/10777912\">2022</a></li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br> 2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)</li>\\n    <li><strong>Bimonthly spectral indices:</strong><br> 2000 (<a href=\"https://zenodo.org/records/10884234\">Jan</a> <a href=\"https://zenodo.org/records/10884272\">Mar</a> <a href=\"https://zenodo.org/records/10884296\">May</a> <a href=\"https://zenodo.org/records/10884311\">Jul</a> <a href=\"https://zenodo.org/records/10884340\">Sep</a> <a href=\"https://zenodo.org/records/10884358\">Nov</a>) 2022 (<a href=\"https://zenodo.org/records/10884387\">Jan</a> <a href=\"https://zenodo.org/records/10884406\">Mar</a> <a href=\"https://zenodo.org/records/10884419\">May</a> <a href=\"https://zenodo.org/records/10884447\">Jul</a> <a href=\"https://zenodo.org/records/10884482\">Sep</a> <a href=\"https://zenodo.org/records/10884503\">Nov</a>)</li>\\n</ul>\\n\\n<h3>Data Details</h3>\\n\\n<ul>\\n\\t<li><strong>Time period:</strong> 2000&ndash;2022</li>\\n\\t<li><strong>Type of data:</strong> soil health data cube, with selected indices relevant to soil health monitoring.</li>\\n\\t<li><strong>How the data was collected or derived:</strong> Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the <a href=\"https://www.google.com/url?q=https://github.com/scikit-map/scikit-map&amp;sa=D&amp;source=editors&amp;ust=1709416957187420&amp;usg=AOvVaw0xPIjlSKqwC6IUCHDWnLlO\">Scikit-map</a> Python package.</li>\\n\\t<li><strong>Statistical methods used:</strong> band operation, time series analysis and statistics calculation</li>\\n\\t<li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Svalbard. </li>\\n\\t<li><strong>Coordinate reference system:</strong> EPSG:3035</li>\\n\\t<li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900,000, 899,000, 7,401,000, 5,501,000)</li>\\n\\t<li><strong>Spatial resolution:</strong> 30m</li>\\n\\t<li><strong>Image size:</strong> 216,700P x 153,400L</li>\\n\\t<li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li>\\n</ul>\\n\\n<h3>Support</h3>\\n\\n<p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)</p>\\n\\n<h3>Name convention</h3>\\n\\n<p>To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p>\\n\\n<ol>\\n\\t<li><strong>generic variable name:</strong> ndti.min.slopes = the long term slope of minNDTI</li>\\n\\t<li><strong>variable procedure combination:</strong> glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI</li>\\n\\t<li><strong>Position in the probability distribution/variable type:</strong> m = mean | sd = standard deviation | n = number of observations | qa = quality assessment</li>\\n\\t<li><strong>Spatial support:</strong> 30m</li>\\n\\t<li><strong>Depth reference:</strong> s = surface</li>\\n\\t<li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li>\\n\\t<li><strong>Time reference end time:</strong> 20221231 = 2022-12-31</li>\\n\\t<li><strong>Bounding box:</strong> go = global (without Antarctica)</li>\\n\\t<li><strong>EPSG code:</strong> epsg.3035</li>\\n\\t<li><strong>Version code:</strong> v20231218 = 2023-12-18 (creation date)</li>\\n</ol>',\n",
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       "      {'name': 'Consoli, Davide',\n",
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       "      {'name': 'Ho, Yufeng',\n",
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       "    'metadata': {'title': 'Landsat-based soil spectral indices for pan-EU 2000-2022: Bimonthly spectral indices (2022-09-01/2022-10-31)',\n",
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       "     'publication_date': '2024-03-27',\n",
       "     'description': '<h2>Description</h2>\\n\\n<p>This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.</p>\\n\\n<h3>General Description</h3>\\n\\n<p>This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:</p>\\n\\n<ul>\\n\\t<li><strong>Long-term trend (2000-2022):</strong><br>\\n        The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022. </li>\\n\\t<li><strong>Annual Landsat P25:</strong><br>\\n        Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI. </li>\\n\\t<li><strong>Annual Landsat P50:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual Landsat P75:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual aggregated indices:</strong><br>\\n        This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.</li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br>\\n        Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method. </li>\\n\\t<li><strong>Bimonthly spectral indices:</strong><br>\\n        This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.</li>\\n</ul>\\n\\n<h3>Related identifiers</h3>\\n\\n<ul>\\n\\t<li><strong>Long-term trend:</strong><br> <a href=\"https://zenodo.org/records/10776891\">2000-2022</a></li>\\n\\t<li><strong>Annual Landsat P25:</strong><br> <a href=\"https://zenodo.org/records/10777969\">2000</a> <a href=\"https://zenodo.org/records/10777971\">2001</a> <a href=\"https://zenodo.org/records/10777973\">2002</a> <a href=\"https://zenodo.org/records/10777975\">2003</a> <a href=\"https://zenodo.org/records/10777977\">2004</a> <a href=\"https://zenodo.org/records/10777979\">2005</a> <a href=\"https://zenodo.org/records/10777981\">2006</a> <a href=\"https://zenodo.org/records/10777983\">2007</a> <a href=\"https://zenodo.org/records/10777985\">2008</a> <a href=\"https://zenodo.org/records/10777987\">2009</a> <a href=\"https://zenodo.org/records/10777989\">2010</a> <a href=\"https://zenodo.org/records/10777991\">2011</a> <a href=\"https://zenodo.org/records/10777993\">2012</a> <a href=\"https://zenodo.org/records/10777995\">2013</a> <a href=\"https://zenodo.org/records/10777997\">2014</a> <a href=\"https://zenodo.org/records/10777999\">2015</a> <a href=\"https://zenodo.org/records/10778001\">2016</a> <a href=\"https://zenodo.org/records/10778003\">2017</a> <a href=\"https://zenodo.org/records/10778005\">2018</a> <a href=\"https://zenodo.org/records/10778007\">2019</a> <a href=\"https://zenodo.org/records/10778009\">2020</a> <a href=\"https://zenodo.org/records/10778011\">2021</a> <a href=\"https://zenodo.org/records/10778013\">2022</a></li>\\n\\t<li><strong>Annual Landsat P50:</strong><br> <a href=\"https://zenodo.org/records/10851076\">2000</a> <a href=\"https://zenodo.org/records/10864828\">2001</a> <a href=\"https://zenodo.org/records/10864838\">2002</a> <a href=\"https://zenodo.org/records/10864852\">2003</a> <a href=\"https://zenodo.org/records/10864874\">2004</a> <a href=\"https://zenodo.org/records/10864896\">2005</a> <a href=\"https://zenodo.org/records/10864952\">2006</a> <a href=\"https://zenodo.org/records/10865027\">2007</a> <a href=\"https://zenodo.org/records/10865253\">2008</a> <a href=\"https://zenodo.org/records/10865315\">2009</a> <a href=\"https://zenodo.org/records/10865398\">2010</a> <a href=\"https://zenodo.org/records/10865486\">2011</a> <a href=\"https://zenodo.org/records/10865536\">2012</a> <a href=\"https://zenodo.org/records/10865630\">2013</a> <a href=\"https://zenodo.org/records/10865721\">2014</a> <a href=\"https://zenodo.org/records/10865803\">2015</a> <a href=\"https://zenodo.org/records/10865857\">2016</a> <a href=\"https://zenodo.org/records/10865905\">2017</a> <a href=\"https://zenodo.org/records/10865920\">2018</a> <a href=\"https://zenodo.org/records/10865948\">2019</a> <a href=\"https://zenodo.org/records/10865973\">2020</a> <a href=\"https://zenodo.org/records/10865992\">2021</a> <a href=\"https://zenodo.org/records/10851078\">2022</a></li>\\n\\t<li><strong>Annual Landsat P75:</strong><br> <a href=\"https://zenodo.org/records/10851080\">2000</a> <a href=\"https://zenodo.org/records/10866025\">2001</a> <a href=\"https://zenodo.org/records/10866071\">2002</a> <a href=\"https://zenodo.org/records/10866095\">2003</a> <a href=\"https://zenodo.org/records/10866108\">2004</a> <a href=\"https://zenodo.org/records/10866121\">2005</a> <a href=\"https://zenodo.org/records/10866153\">2006</a> <a href=\"https://zenodo.org/records/10866194\">2007</a> <a href=\"https://zenodo.org/records/10866224\">2008</a> <a href=\"https://zenodo.org/records/10866256\">2009</a> <a href=\"https://zenodo.org/records/10866294\">2010</a> <a href=\"https://zenodo.org/records/10866319\">2011</a> <a href=\"https://zenodo.org/records/10866337\">2012</a> <a href=\"https://zenodo.org/records/10866367\">2013</a> <a href=\"https://zenodo.org/records/10866410\">2014</a> <a href=\"https://zenodo.org/records/10866436\">2015</a> <a href=\"https://zenodo.org/records/10866474\">2016</a> <a href=\"https://zenodo.org/records/10866496\">2017</a> <a href=\"https://zenodo.org/records/10866514\">2018</a> <a href=\"https://zenodo.org/records/10866533\">2019</a> <a href=\"https://zenodo.org/records/10866572\">2020</a> <a href=\"https://zenodo.org/records/10866603\">2021</a> <a href=\"https://zenodo.org/records/10851082\">2022</a></li>\\n\\t<li><strong>Annual aggregated indices:</strong><br> <a href=\"https://zenodo.org/records/10777868\">2000</a> <a href=\"https://zenodo.org/records/10777870\">2001</a> <a href=\"https://zenodo.org/records/10777872\">2002</a> <a href=\"https://zenodo.org/records/10777874\">2003</a> <a href=\"https://zenodo.org/records/10777876\">2004</a> <a href=\"https://zenodo.org/records/10777878\">2005</a> <a href=\"https://zenodo.org/records/10777880\">2006</a> <a href=\"https://zenodo.org/records/10777882\">2007</a> <a href=\"https://zenodo.org/records/10777884\">2008</a> <a href=\"https://zenodo.org/records/10777886\">2009</a> <a href=\"https://zenodo.org/records/10777888\">2010</a> <a href=\"https://zenodo.org/records/10777890\">2011</a> <a href=\"https://zenodo.org/records/10777892\">2012</a> <a href=\"https://zenodo.org/records/10777894\">2013</a> <a href=\"https://zenodo.org/records/10777896\">2014</a> <a href=\"https://zenodo.org/records/10777898\">2015</a> <a href=\"https://zenodo.org/records/10777900\">2016</a> <a href=\"https://zenodo.org/records/10777902\">2017</a> <a href=\"https://zenodo.org/records/10777904\">2018</a> <a href=\"https://zenodo.org/records/10777906\">2019</a> <a href=\"https://zenodo.org/records/10777908\">2020</a> <a href=\"https://zenodo.org/records/10777910\">2021</a> <a href=\"https://zenodo.org/records/10777912\">2022</a></li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br> 2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)</li>\\n    <li><strong>Bimonthly spectral indices:</strong><br> 2000 (<a href=\"https://zenodo.org/records/10884234\">Jan</a> <a href=\"https://zenodo.org/records/10884272\">Mar</a> <a href=\"https://zenodo.org/records/10884296\">May</a> <a href=\"https://zenodo.org/records/10884311\">Jul</a> <a href=\"https://zenodo.org/records/10884340\">Sep</a> <a href=\"https://zenodo.org/records/10884358\">Nov</a>) 2022 (<a href=\"https://zenodo.org/records/10884387\">Jan</a> <a href=\"https://zenodo.org/records/10884406\">Mar</a> <a href=\"https://zenodo.org/records/10884419\">May</a> <a href=\"https://zenodo.org/records/10884447\">Jul</a> <a href=\"https://zenodo.org/records/10884482\">Sep</a> <a href=\"https://zenodo.org/records/10884503\">Nov</a>)</li>\\n</ul>\\n\\n<h3>Data Details</h3>\\n\\n<ul>\\n\\t<li><strong>Time period:</strong> 2000&ndash;2022</li>\\n\\t<li><strong>Type of data:</strong> soil health data cube, with selected indices relevant to soil health monitoring.</li>\\n\\t<li><strong>How the data was collected or derived:</strong> Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the <a href=\"https://www.google.com/url?q=https://github.com/scikit-map/scikit-map&amp;sa=D&amp;source=editors&amp;ust=1709416957187420&amp;usg=AOvVaw0xPIjlSKqwC6IUCHDWnLlO\">Scikit-map</a> Python package.</li>\\n\\t<li><strong>Statistical methods used:</strong> band operation, time series analysis and statistics calculation</li>\\n\\t<li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Svalbard. </li>\\n\\t<li><strong>Coordinate reference system:</strong> EPSG:3035</li>\\n\\t<li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900,000, 899,000, 7,401,000, 5,501,000)</li>\\n\\t<li><strong>Spatial resolution:</strong> 30m</li>\\n\\t<li><strong>Image size:</strong> 216,700P x 153,400L</li>\\n\\t<li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li>\\n</ul>\\n\\n<h3>Support</h3>\\n\\n<p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)</p>\\n\\n<h3>Name convention</h3>\\n\\n<p>To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p>\\n\\n<ol>\\n\\t<li><strong>generic variable name:</strong> ndti.min.slopes = the long term slope of minNDTI</li>\\n\\t<li><strong>variable procedure combination:</strong> glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI</li>\\n\\t<li><strong>Position in the probability distribution/variable type:</strong> m = mean | sd = standard deviation | n = number of observations | qa = quality assessment</li>\\n\\t<li><strong>Spatial support:</strong> 30m</li>\\n\\t<li><strong>Depth reference:</strong> s = surface</li>\\n\\t<li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li>\\n\\t<li><strong>Time reference end time:</strong> 20221231 = 2022-12-31</li>\\n\\t<li><strong>Bounding box:</strong> go = global (without Antarctica)</li>\\n\\t<li><strong>EPSG code:</strong> epsg.3035</li>\\n\\t<li><strong>Version code:</strong> v20231218 = 2023-12-18 (creation date)</li>\\n</ol>',\n",
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       "      {'name': 'Consoli, Davide',\n",
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       "      {'name': 'Ho, Yufeng',\n",
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       "    'metadata': {'title': 'Landsat-based soil spectral indices for pan-EU 2000-2022: Bimonthly spectral indices (2022-07-01/2022-08-31)',\n",
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       "     'publication_date': '2024-03-27',\n",
       "     'description': '<h2>Description</h2>\\n\\n<p>This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.</p>\\n\\n<h3>General Description</h3>\\n\\n<p>This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:</p>\\n\\n<ul>\\n\\t<li><strong>Long-term trend (2000-2022):</strong><br>\\n        The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022. </li>\\n\\t<li><strong>Annual Landsat P25:</strong><br>\\n        Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI. </li>\\n\\t<li><strong>Annual Landsat P50:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual Landsat P75:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual aggregated indices:</strong><br>\\n        This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.</li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br>\\n        Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method. </li>\\n\\t<li><strong>Bimonthly spectral indices:</strong><br>\\n        This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.</li>\\n</ul>\\n\\n<h3>Related identifiers</h3>\\n\\n<ul>\\n\\t<li><strong>Long-term trend:</strong><br> <a href=\"https://zenodo.org/records/10776891\">2000-2022</a></li>\\n\\t<li><strong>Annual Landsat P25:</strong><br> <a href=\"https://zenodo.org/records/10777969\">2000</a> <a href=\"https://zenodo.org/records/10777971\">2001</a> <a href=\"https://zenodo.org/records/10777973\">2002</a> <a href=\"https://zenodo.org/records/10777975\">2003</a> <a href=\"https://zenodo.org/records/10777977\">2004</a> <a href=\"https://zenodo.org/records/10777979\">2005</a> <a href=\"https://zenodo.org/records/10777981\">2006</a> <a href=\"https://zenodo.org/records/10777983\">2007</a> <a href=\"https://zenodo.org/records/10777985\">2008</a> <a href=\"https://zenodo.org/records/10777987\">2009</a> <a href=\"https://zenodo.org/records/10777989\">2010</a> <a href=\"https://zenodo.org/records/10777991\">2011</a> <a href=\"https://zenodo.org/records/10777993\">2012</a> <a href=\"https://zenodo.org/records/10777995\">2013</a> <a href=\"https://zenodo.org/records/10777997\">2014</a> <a href=\"https://zenodo.org/records/10777999\">2015</a> <a href=\"https://zenodo.org/records/10778001\">2016</a> <a href=\"https://zenodo.org/records/10778003\">2017</a> <a href=\"https://zenodo.org/records/10778005\">2018</a> <a href=\"https://zenodo.org/records/10778007\">2019</a> <a href=\"https://zenodo.org/records/10778009\">2020</a> <a href=\"https://zenodo.org/records/10778011\">2021</a> <a href=\"https://zenodo.org/records/10778013\">2022</a></li>\\n\\t<li><strong>Annual Landsat P50:</strong><br> <a href=\"https://zenodo.org/records/10851076\">2000</a> <a href=\"https://zenodo.org/records/10864828\">2001</a> <a href=\"https://zenodo.org/records/10864838\">2002</a> <a href=\"https://zenodo.org/records/10864852\">2003</a> <a href=\"https://zenodo.org/records/10864874\">2004</a> <a href=\"https://zenodo.org/records/10864896\">2005</a> <a href=\"https://zenodo.org/records/10864952\">2006</a> <a href=\"https://zenodo.org/records/10865027\">2007</a> <a href=\"https://zenodo.org/records/10865253\">2008</a> <a href=\"https://zenodo.org/records/10865315\">2009</a> <a href=\"https://zenodo.org/records/10865398\">2010</a> <a href=\"https://zenodo.org/records/10865486\">2011</a> <a href=\"https://zenodo.org/records/10865536\">2012</a> <a href=\"https://zenodo.org/records/10865630\">2013</a> <a href=\"https://zenodo.org/records/10865721\">2014</a> <a href=\"https://zenodo.org/records/10865803\">2015</a> <a href=\"https://zenodo.org/records/10865857\">2016</a> <a href=\"https://zenodo.org/records/10865905\">2017</a> <a href=\"https://zenodo.org/records/10865920\">2018</a> <a href=\"https://zenodo.org/records/10865948\">2019</a> <a href=\"https://zenodo.org/records/10865973\">2020</a> <a href=\"https://zenodo.org/records/10865992\">2021</a> <a href=\"https://zenodo.org/records/10851078\">2022</a></li>\\n\\t<li><strong>Annual Landsat P75:</strong><br> <a href=\"https://zenodo.org/records/10851080\">2000</a> <a href=\"https://zenodo.org/records/10866025\">2001</a> <a href=\"https://zenodo.org/records/10866071\">2002</a> <a href=\"https://zenodo.org/records/10866095\">2003</a> <a href=\"https://zenodo.org/records/10866108\">2004</a> <a href=\"https://zenodo.org/records/10866121\">2005</a> <a href=\"https://zenodo.org/records/10866153\">2006</a> <a href=\"https://zenodo.org/records/10866194\">2007</a> <a href=\"https://zenodo.org/records/10866224\">2008</a> <a href=\"https://zenodo.org/records/10866256\">2009</a> <a href=\"https://zenodo.org/records/10866294\">2010</a> <a href=\"https://zenodo.org/records/10866319\">2011</a> <a href=\"https://zenodo.org/records/10866337\">2012</a> <a href=\"https://zenodo.org/records/10866367\">2013</a> <a href=\"https://zenodo.org/records/10866410\">2014</a> <a href=\"https://zenodo.org/records/10866436\">2015</a> <a href=\"https://zenodo.org/records/10866474\">2016</a> <a href=\"https://zenodo.org/records/10866496\">2017</a> <a href=\"https://zenodo.org/records/10866514\">2018</a> <a href=\"https://zenodo.org/records/10866533\">2019</a> <a href=\"https://zenodo.org/records/10866572\">2020</a> <a href=\"https://zenodo.org/records/10866603\">2021</a> <a href=\"https://zenodo.org/records/10851082\">2022</a></li>\\n\\t<li><strong>Annual aggregated indices:</strong><br> <a href=\"https://zenodo.org/records/10777868\">2000</a> <a href=\"https://zenodo.org/records/10777870\">2001</a> <a href=\"https://zenodo.org/records/10777872\">2002</a> <a href=\"https://zenodo.org/records/10777874\">2003</a> <a href=\"https://zenodo.org/records/10777876\">2004</a> <a href=\"https://zenodo.org/records/10777878\">2005</a> <a href=\"https://zenodo.org/records/10777880\">2006</a> <a href=\"https://zenodo.org/records/10777882\">2007</a> <a href=\"https://zenodo.org/records/10777884\">2008</a> <a href=\"https://zenodo.org/records/10777886\">2009</a> <a href=\"https://zenodo.org/records/10777888\">2010</a> <a href=\"https://zenodo.org/records/10777890\">2011</a> <a href=\"https://zenodo.org/records/10777892\">2012</a> <a href=\"https://zenodo.org/records/10777894\">2013</a> <a href=\"https://zenodo.org/records/10777896\">2014</a> <a href=\"https://zenodo.org/records/10777898\">2015</a> <a href=\"https://zenodo.org/records/10777900\">2016</a> <a href=\"https://zenodo.org/records/10777902\">2017</a> <a href=\"https://zenodo.org/records/10777904\">2018</a> <a href=\"https://zenodo.org/records/10777906\">2019</a> <a href=\"https://zenodo.org/records/10777908\">2020</a> <a href=\"https://zenodo.org/records/10777910\">2021</a> <a href=\"https://zenodo.org/records/10777912\">2022</a></li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br> 2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)</li>\\n    <li><strong>Bimonthly spectral indices:</strong><br> 2000 (<a href=\"https://zenodo.org/records/10884234\">Jan</a> <a href=\"https://zenodo.org/records/10884272\">Mar</a> <a href=\"https://zenodo.org/records/10884296\">May</a> <a href=\"https://zenodo.org/records/10884311\">Jul</a> <a href=\"https://zenodo.org/records/10884340\">Sep</a> <a href=\"https://zenodo.org/records/10884358\">Nov</a>) 2022 (<a href=\"https://zenodo.org/records/10884387\">Jan</a> <a href=\"https://zenodo.org/records/10884406\">Mar</a> <a href=\"https://zenodo.org/records/10884419\">May</a> <a href=\"https://zenodo.org/records/10884447\">Jul</a> <a href=\"https://zenodo.org/records/10884482\">Sep</a> <a href=\"https://zenodo.org/records/10884503\">Nov</a>)</li>\\n</ul>\\n\\n<h3>Data Details</h3>\\n\\n<ul>\\n\\t<li><strong>Time period:</strong> 2000&ndash;2022</li>\\n\\t<li><strong>Type of data:</strong> soil health data cube, with selected indices relevant to soil health monitoring.</li>\\n\\t<li><strong>How the data was collected or derived:</strong> Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the <a href=\"https://www.google.com/url?q=https://github.com/scikit-map/scikit-map&amp;sa=D&amp;source=editors&amp;ust=1709416957187420&amp;usg=AOvVaw0xPIjlSKqwC6IUCHDWnLlO\">Scikit-map</a> Python package.</li>\\n\\t<li><strong>Statistical methods used:</strong> band operation, time series analysis and statistics calculation</li>\\n\\t<li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Svalbard. </li>\\n\\t<li><strong>Coordinate reference system:</strong> EPSG:3035</li>\\n\\t<li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900,000, 899,000, 7,401,000, 5,501,000)</li>\\n\\t<li><strong>Spatial resolution:</strong> 30m</li>\\n\\t<li><strong>Image size:</strong> 216,700P x 153,400L</li>\\n\\t<li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li>\\n</ul>\\n\\n<h3>Support</h3>\\n\\n<p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)</p>\\n\\n<h3>Name convention</h3>\\n\\n<p>To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p>\\n\\n<ol>\\n\\t<li><strong>generic variable name:</strong> ndti.min.slopes = the long term slope of minNDTI</li>\\n\\t<li><strong>variable procedure combination:</strong> glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI</li>\\n\\t<li><strong>Position in the probability distribution/variable type:</strong> m = mean | sd = standard deviation | n = number of observations | qa = quality assessment</li>\\n\\t<li><strong>Spatial support:</strong> 30m</li>\\n\\t<li><strong>Depth reference:</strong> s = surface</li>\\n\\t<li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li>\\n\\t<li><strong>Time reference end time:</strong> 20221231 = 2022-12-31</li>\\n\\t<li><strong>Bounding box:</strong> go = global (without Antarctica)</li>\\n\\t<li><strong>EPSG code:</strong> epsg.3035</li>\\n\\t<li><strong>Version code:</strong> v20231218 = 2023-12-18 (creation date)</li>\\n</ol>',\n",
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       "      {'name': 'Consoli, Davide',\n",
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       "      {'name': 'Ho, Yufeng',\n",
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       "    'metadata': {'title': 'Landsat-based soil spectral indices for pan-EU 2000-2022: Bimonthly spectral indices (2022-05-01/2022-06-30)',\n",
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       "     'publication_date': '2024-03-27',\n",
       "     'description': '<h2>Description</h2>\\n\\n<p>This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.</p>\\n\\n<h3>General Description</h3>\\n\\n<p>This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:</p>\\n\\n<ul>\\n\\t<li><strong>Long-term trend (2000-2022):</strong><br>\\n        The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022. </li>\\n\\t<li><strong>Annual Landsat P25:</strong><br>\\n        Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI. </li>\\n\\t<li><strong>Annual Landsat P50:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual Landsat P75:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual aggregated indices:</strong><br>\\n        This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.</li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br>\\n        Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method. </li>\\n\\t<li><strong>Bimonthly spectral indices:</strong><br>\\n        This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.</li>\\n</ul>\\n\\n<h3>Related identifiers</h3>\\n\\n<ul>\\n\\t<li><strong>Long-term trend:</strong><br> <a href=\"https://zenodo.org/records/10776891\">2000-2022</a></li>\\n\\t<li><strong>Annual Landsat P25:</strong><br> <a href=\"https://zenodo.org/records/10777969\">2000</a> <a href=\"https://zenodo.org/records/10777971\">2001</a> <a href=\"https://zenodo.org/records/10777973\">2002</a> <a href=\"https://zenodo.org/records/10777975\">2003</a> <a href=\"https://zenodo.org/records/10777977\">2004</a> <a href=\"https://zenodo.org/records/10777979\">2005</a> <a href=\"https://zenodo.org/records/10777981\">2006</a> <a href=\"https://zenodo.org/records/10777983\">2007</a> <a href=\"https://zenodo.org/records/10777985\">2008</a> <a href=\"https://zenodo.org/records/10777987\">2009</a> <a href=\"https://zenodo.org/records/10777989\">2010</a> <a href=\"https://zenodo.org/records/10777991\">2011</a> <a href=\"https://zenodo.org/records/10777993\">2012</a> <a href=\"https://zenodo.org/records/10777995\">2013</a> <a href=\"https://zenodo.org/records/10777997\">2014</a> <a href=\"https://zenodo.org/records/10777999\">2015</a> <a href=\"https://zenodo.org/records/10778001\">2016</a> <a href=\"https://zenodo.org/records/10778003\">2017</a> <a href=\"https://zenodo.org/records/10778005\">2018</a> <a href=\"https://zenodo.org/records/10778007\">2019</a> <a href=\"https://zenodo.org/records/10778009\">2020</a> <a href=\"https://zenodo.org/records/10778011\">2021</a> <a href=\"https://zenodo.org/records/10778013\">2022</a></li>\\n\\t<li><strong>Annual Landsat P50:</strong><br> <a href=\"https://zenodo.org/records/10851076\">2000</a> <a href=\"https://zenodo.org/records/10864828\">2001</a> <a href=\"https://zenodo.org/records/10864838\">2002</a> <a href=\"https://zenodo.org/records/10864852\">2003</a> <a href=\"https://zenodo.org/records/10864874\">2004</a> <a href=\"https://zenodo.org/records/10864896\">2005</a> <a href=\"https://zenodo.org/records/10864952\">2006</a> <a href=\"https://zenodo.org/records/10865027\">2007</a> <a href=\"https://zenodo.org/records/10865253\">2008</a> <a href=\"https://zenodo.org/records/10865315\">2009</a> <a href=\"https://zenodo.org/records/10865398\">2010</a> <a href=\"https://zenodo.org/records/10865486\">2011</a> <a href=\"https://zenodo.org/records/10865536\">2012</a> <a href=\"https://zenodo.org/records/10865630\">2013</a> <a href=\"https://zenodo.org/records/10865721\">2014</a> <a href=\"https://zenodo.org/records/10865803\">2015</a> <a href=\"https://zenodo.org/records/10865857\">2016</a> <a href=\"https://zenodo.org/records/10865905\">2017</a> <a href=\"https://zenodo.org/records/10865920\">2018</a> <a href=\"https://zenodo.org/records/10865948\">2019</a> <a href=\"https://zenodo.org/records/10865973\">2020</a> <a href=\"https://zenodo.org/records/10865992\">2021</a> <a href=\"https://zenodo.org/records/10851078\">2022</a></li>\\n\\t<li><strong>Annual Landsat P75:</strong><br> <a href=\"https://zenodo.org/records/10851080\">2000</a> <a href=\"https://zenodo.org/records/10866025\">2001</a> <a href=\"https://zenodo.org/records/10866071\">2002</a> <a href=\"https://zenodo.org/records/10866095\">2003</a> <a href=\"https://zenodo.org/records/10866108\">2004</a> <a href=\"https://zenodo.org/records/10866121\">2005</a> <a href=\"https://zenodo.org/records/10866153\">2006</a> <a href=\"https://zenodo.org/records/10866194\">2007</a> <a href=\"https://zenodo.org/records/10866224\">2008</a> <a href=\"https://zenodo.org/records/10866256\">2009</a> <a href=\"https://zenodo.org/records/10866294\">2010</a> <a href=\"https://zenodo.org/records/10866319\">2011</a> <a href=\"https://zenodo.org/records/10866337\">2012</a> <a href=\"https://zenodo.org/records/10866367\">2013</a> <a href=\"https://zenodo.org/records/10866410\">2014</a> <a href=\"https://zenodo.org/records/10866436\">2015</a> <a href=\"https://zenodo.org/records/10866474\">2016</a> <a href=\"https://zenodo.org/records/10866496\">2017</a> <a href=\"https://zenodo.org/records/10866514\">2018</a> <a href=\"https://zenodo.org/records/10866533\">2019</a> <a href=\"https://zenodo.org/records/10866572\">2020</a> <a href=\"https://zenodo.org/records/10866603\">2021</a> <a href=\"https://zenodo.org/records/10851082\">2022</a></li>\\n\\t<li><strong>Annual aggregated indices:</strong><br> <a href=\"https://zenodo.org/records/10777868\">2000</a> <a href=\"https://zenodo.org/records/10777870\">2001</a> <a href=\"https://zenodo.org/records/10777872\">2002</a> <a href=\"https://zenodo.org/records/10777874\">2003</a> <a href=\"https://zenodo.org/records/10777876\">2004</a> <a href=\"https://zenodo.org/records/10777878\">2005</a> <a href=\"https://zenodo.org/records/10777880\">2006</a> <a href=\"https://zenodo.org/records/10777882\">2007</a> <a href=\"https://zenodo.org/records/10777884\">2008</a> <a href=\"https://zenodo.org/records/10777886\">2009</a> <a href=\"https://zenodo.org/records/10777888\">2010</a> <a href=\"https://zenodo.org/records/10777890\">2011</a> <a href=\"https://zenodo.org/records/10777892\">2012</a> <a href=\"https://zenodo.org/records/10777894\">2013</a> <a href=\"https://zenodo.org/records/10777896\">2014</a> <a href=\"https://zenodo.org/records/10777898\">2015</a> <a href=\"https://zenodo.org/records/10777900\">2016</a> <a href=\"https://zenodo.org/records/10777902\">2017</a> <a href=\"https://zenodo.org/records/10777904\">2018</a> <a href=\"https://zenodo.org/records/10777906\">2019</a> <a href=\"https://zenodo.org/records/10777908\">2020</a> <a href=\"https://zenodo.org/records/10777910\">2021</a> <a href=\"https://zenodo.org/records/10777912\">2022</a></li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br> 2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)</li>\\n    <li><strong>Bimonthly spectral indices:</strong><br> 2000 (<a href=\"https://zenodo.org/records/10884234\">Jan</a> <a href=\"https://zenodo.org/records/10884272\">Mar</a> <a href=\"https://zenodo.org/records/10884296\">May</a> <a href=\"https://zenodo.org/records/10884311\">Jul</a> <a href=\"https://zenodo.org/records/10884340\">Sep</a> <a href=\"https://zenodo.org/records/10884358\">Nov</a>) 2022 (<a href=\"https://zenodo.org/records/10884387\">Jan</a> <a href=\"https://zenodo.org/records/10884406\">Mar</a> <a href=\"https://zenodo.org/records/10884419\">May</a> <a href=\"https://zenodo.org/records/10884447\">Jul</a> <a href=\"https://zenodo.org/records/10884482\">Sep</a> <a href=\"https://zenodo.org/records/10884503\">Nov</a>)</li>\\n</ul>\\n\\n<h3>Data Details</h3>\\n\\n<ul>\\n\\t<li><strong>Time period:</strong> 2000&ndash;2022</li>\\n\\t<li><strong>Type of data:</strong> soil health data cube, with selected indices relevant to soil health monitoring.</li>\\n\\t<li><strong>How the data was collected or derived:</strong> Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the <a href=\"https://www.google.com/url?q=https://github.com/scikit-map/scikit-map&amp;sa=D&amp;source=editors&amp;ust=1709416957187420&amp;usg=AOvVaw0xPIjlSKqwC6IUCHDWnLlO\">Scikit-map</a> Python package.</li>\\n\\t<li><strong>Statistical methods used:</strong> band operation, time series analysis and statistics calculation</li>\\n\\t<li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Svalbard. </li>\\n\\t<li><strong>Coordinate reference system:</strong> EPSG:3035</li>\\n\\t<li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900,000, 899,000, 7,401,000, 5,501,000)</li>\\n\\t<li><strong>Spatial resolution:</strong> 30m</li>\\n\\t<li><strong>Image size:</strong> 216,700P x 153,400L</li>\\n\\t<li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li>\\n</ul>\\n\\n<h3>Support</h3>\\n\\n<p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)</p>\\n\\n<h3>Name convention</h3>\\n\\n<p>To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p>\\n\\n<ol>\\n\\t<li><strong>generic variable name:</strong> ndti.min.slopes = the long term slope of minNDTI</li>\\n\\t<li><strong>variable procedure combination:</strong> glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI</li>\\n\\t<li><strong>Position in the probability distribution/variable type:</strong> m = mean | sd = standard deviation | n = number of observations | qa = quality assessment</li>\\n\\t<li><strong>Spatial support:</strong> 30m</li>\\n\\t<li><strong>Depth reference:</strong> s = surface</li>\\n\\t<li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li>\\n\\t<li><strong>Time reference end time:</strong> 20221231 = 2022-12-31</li>\\n\\t<li><strong>Bounding box:</strong> go = global (without Antarctica)</li>\\n\\t<li><strong>EPSG code:</strong> epsg.3035</li>\\n\\t<li><strong>Version code:</strong> v20231218 = 2023-12-18 (creation date)</li>\\n</ol>',\n",
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       "      {'name': 'Ho, Yufeng',\n",
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       "    'metadata': {'title': 'Landsat-based soil spectral indices for pan-EU 2000-2022: Bimonthly spectral indices (2022-03-01/2022-04-30)',\n",
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       "     'publication_date': '2024-03-27',\n",
       "     'description': '<h2>Description</h2>\\n\\n<p>This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.</p>\\n\\n<h3>General Description</h3>\\n\\n<p>This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:</p>\\n\\n<ul>\\n\\t<li><strong>Long-term trend (2000-2022):</strong><br>\\n        The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022. </li>\\n\\t<li><strong>Annual Landsat P25:</strong><br>\\n        Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI. </li>\\n\\t<li><strong>Annual Landsat P50:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual Landsat P75:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual aggregated indices:</strong><br>\\n        This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.</li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br>\\n        Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method. </li>\\n\\t<li><strong>Bimonthly spectral indices:</strong><br>\\n        This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.</li>\\n</ul>\\n\\n<h3>Related identifiers</h3>\\n\\n<ul>\\n\\t<li><strong>Long-term trend:</strong><br> <a href=\"https://zenodo.org/records/10776891\">2000-2022</a></li>\\n\\t<li><strong>Annual Landsat P25:</strong><br> <a href=\"https://zenodo.org/records/10777969\">2000</a> <a href=\"https://zenodo.org/records/10777971\">2001</a> <a href=\"https://zenodo.org/records/10777973\">2002</a> <a href=\"https://zenodo.org/records/10777975\">2003</a> <a href=\"https://zenodo.org/records/10777977\">2004</a> <a href=\"https://zenodo.org/records/10777979\">2005</a> <a href=\"https://zenodo.org/records/10777981\">2006</a> <a href=\"https://zenodo.org/records/10777983\">2007</a> <a href=\"https://zenodo.org/records/10777985\">2008</a> <a href=\"https://zenodo.org/records/10777987\">2009</a> <a href=\"https://zenodo.org/records/10777989\">2010</a> <a href=\"https://zenodo.org/records/10777991\">2011</a> <a href=\"https://zenodo.org/records/10777993\">2012</a> <a href=\"https://zenodo.org/records/10777995\">2013</a> <a href=\"https://zenodo.org/records/10777997\">2014</a> <a href=\"https://zenodo.org/records/10777999\">2015</a> <a href=\"https://zenodo.org/records/10778001\">2016</a> <a href=\"https://zenodo.org/records/10778003\">2017</a> <a href=\"https://zenodo.org/records/10778005\">2018</a> <a href=\"https://zenodo.org/records/10778007\">2019</a> <a href=\"https://zenodo.org/records/10778009\">2020</a> <a href=\"https://zenodo.org/records/10778011\">2021</a> <a href=\"https://zenodo.org/records/10778013\">2022</a></li>\\n\\t<li><strong>Annual Landsat P50:</strong><br> <a href=\"https://zenodo.org/records/10851076\">2000</a> <a href=\"https://zenodo.org/records/10864828\">2001</a> <a href=\"https://zenodo.org/records/10864838\">2002</a> <a href=\"https://zenodo.org/records/10864852\">2003</a> <a href=\"https://zenodo.org/records/10864874\">2004</a> <a href=\"https://zenodo.org/records/10864896\">2005</a> <a href=\"https://zenodo.org/records/10864952\">2006</a> <a href=\"https://zenodo.org/records/10865027\">2007</a> <a href=\"https://zenodo.org/records/10865253\">2008</a> <a href=\"https://zenodo.org/records/10865315\">2009</a> <a href=\"https://zenodo.org/records/10865398\">2010</a> <a href=\"https://zenodo.org/records/10865486\">2011</a> <a href=\"https://zenodo.org/records/10865536\">2012</a> <a href=\"https://zenodo.org/records/10865630\">2013</a> <a href=\"https://zenodo.org/records/10865721\">2014</a> <a href=\"https://zenodo.org/records/10865803\">2015</a> <a href=\"https://zenodo.org/records/10865857\">2016</a> <a href=\"https://zenodo.org/records/10865905\">2017</a> <a href=\"https://zenodo.org/records/10865920\">2018</a> <a href=\"https://zenodo.org/records/10865948\">2019</a> <a href=\"https://zenodo.org/records/10865973\">2020</a> <a href=\"https://zenodo.org/records/10865992\">2021</a> <a href=\"https://zenodo.org/records/10851078\">2022</a></li>\\n\\t<li><strong>Annual Landsat P75:</strong><br> <a href=\"https://zenodo.org/records/10851080\">2000</a> <a href=\"https://zenodo.org/records/10866025\">2001</a> <a href=\"https://zenodo.org/records/10866071\">2002</a> <a href=\"https://zenodo.org/records/10866095\">2003</a> <a href=\"https://zenodo.org/records/10866108\">2004</a> <a href=\"https://zenodo.org/records/10866121\">2005</a> <a href=\"https://zenodo.org/records/10866153\">2006</a> <a href=\"https://zenodo.org/records/10866194\">2007</a> <a href=\"https://zenodo.org/records/10866224\">2008</a> <a href=\"https://zenodo.org/records/10866256\">2009</a> <a href=\"https://zenodo.org/records/10866294\">2010</a> <a href=\"https://zenodo.org/records/10866319\">2011</a> <a href=\"https://zenodo.org/records/10866337\">2012</a> <a href=\"https://zenodo.org/records/10866367\">2013</a> <a href=\"https://zenodo.org/records/10866410\">2014</a> <a href=\"https://zenodo.org/records/10866436\">2015</a> <a href=\"https://zenodo.org/records/10866474\">2016</a> <a href=\"https://zenodo.org/records/10866496\">2017</a> <a href=\"https://zenodo.org/records/10866514\">2018</a> <a href=\"https://zenodo.org/records/10866533\">2019</a> <a href=\"https://zenodo.org/records/10866572\">2020</a> <a href=\"https://zenodo.org/records/10866603\">2021</a> <a href=\"https://zenodo.org/records/10851082\">2022</a></li>\\n\\t<li><strong>Annual aggregated indices:</strong><br> <a href=\"https://zenodo.org/records/10777868\">2000</a> <a href=\"https://zenodo.org/records/10777870\">2001</a> <a href=\"https://zenodo.org/records/10777872\">2002</a> <a href=\"https://zenodo.org/records/10777874\">2003</a> <a href=\"https://zenodo.org/records/10777876\">2004</a> <a href=\"https://zenodo.org/records/10777878\">2005</a> <a href=\"https://zenodo.org/records/10777880\">2006</a> <a href=\"https://zenodo.org/records/10777882\">2007</a> <a href=\"https://zenodo.org/records/10777884\">2008</a> <a href=\"https://zenodo.org/records/10777886\">2009</a> <a href=\"https://zenodo.org/records/10777888\">2010</a> <a href=\"https://zenodo.org/records/10777890\">2011</a> <a href=\"https://zenodo.org/records/10777892\">2012</a> <a href=\"https://zenodo.org/records/10777894\">2013</a> <a href=\"https://zenodo.org/records/10777896\">2014</a> <a href=\"https://zenodo.org/records/10777898\">2015</a> <a href=\"https://zenodo.org/records/10777900\">2016</a> <a href=\"https://zenodo.org/records/10777902\">2017</a> <a href=\"https://zenodo.org/records/10777904\">2018</a> <a href=\"https://zenodo.org/records/10777906\">2019</a> <a href=\"https://zenodo.org/records/10777908\">2020</a> <a href=\"https://zenodo.org/records/10777910\">2021</a> <a href=\"https://zenodo.org/records/10777912\">2022</a></li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br> 2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)</li>\\n    <li><strong>Bimonthly spectral indices:</strong><br> 2000 (<a href=\"https://zenodo.org/records/10884234\">Jan</a> <a href=\"https://zenodo.org/records/10884272\">Mar</a> <a href=\"https://zenodo.org/records/10884296\">May</a> <a href=\"https://zenodo.org/records/10884311\">Jul</a> <a href=\"https://zenodo.org/records/10884340\">Sep</a> <a href=\"https://zenodo.org/records/10884358\">Nov</a>) 2022 (<a href=\"https://zenodo.org/records/10884387\">Jan</a> <a href=\"https://zenodo.org/records/10884406\">Mar</a> <a href=\"https://zenodo.org/records/10884419\">May</a> <a href=\"https://zenodo.org/records/10884447\">Jul</a> <a href=\"https://zenodo.org/records/10884482\">Sep</a> <a href=\"https://zenodo.org/records/10884503\">Nov</a>)</li>\\n</ul>\\n\\n<h3>Data Details</h3>\\n\\n<ul>\\n\\t<li><strong>Time period:</strong> 2000&ndash;2022</li>\\n\\t<li><strong>Type of data:</strong> soil health data cube, with selected indices relevant to soil health monitoring.</li>\\n\\t<li><strong>How the data was collected or derived:</strong> Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the <a href=\"https://www.google.com/url?q=https://github.com/scikit-map/scikit-map&amp;sa=D&amp;source=editors&amp;ust=1709416957187420&amp;usg=AOvVaw0xPIjlSKqwC6IUCHDWnLlO\">Scikit-map</a> Python package.</li>\\n\\t<li><strong>Statistical methods used:</strong> band operation, time series analysis and statistics calculation</li>\\n\\t<li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Svalbard. </li>\\n\\t<li><strong>Coordinate reference system:</strong> EPSG:3035</li>\\n\\t<li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900,000, 899,000, 7,401,000, 5,501,000)</li>\\n\\t<li><strong>Spatial resolution:</strong> 30m</li>\\n\\t<li><strong>Image size:</strong> 216,700P x 153,400L</li>\\n\\t<li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li>\\n</ul>\\n\\n<h3>Support</h3>\\n\\n<p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)</p>\\n\\n<h3>Name convention</h3>\\n\\n<p>To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p>\\n\\n<ol>\\n\\t<li><strong>generic variable name:</strong> ndti.min.slopes = the long term slope of minNDTI</li>\\n\\t<li><strong>variable procedure combination:</strong> glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI</li>\\n\\t<li><strong>Position in the probability distribution/variable type:</strong> m = mean | sd = standard deviation | n = number of observations | qa = quality assessment</li>\\n\\t<li><strong>Spatial support:</strong> 30m</li>\\n\\t<li><strong>Depth reference:</strong> s = surface</li>\\n\\t<li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li>\\n\\t<li><strong>Time reference end time:</strong> 20221231 = 2022-12-31</li>\\n\\t<li><strong>Bounding box:</strong> go = global (without Antarctica)</li>\\n\\t<li><strong>EPSG code:</strong> epsg.3035</li>\\n\\t<li><strong>Version code:</strong> v20231218 = 2023-12-18 (creation date)</li>\\n</ol>',\n",
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       "      {'name': 'Ho, Yufeng',\n",
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       "    'metadata': {'title': 'Landsat-based soil spectral indices for pan-EU 2000-2022: Bimonthly spectral indices (2022-01-01/2022-02-28)',\n",
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       "     'publication_date': '2024-03-27',\n",
       "     'description': '<h2>Description</h2>\\n\\n<p>This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.</p>\\n\\n<h3>General Description</h3>\\n\\n<p>This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:</p>\\n\\n<ul>\\n\\t<li><strong>Long-term trend (2000-2022):</strong><br>\\n        The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022. </li>\\n\\t<li><strong>Annual Landsat P25:</strong><br>\\n        Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI. </li>\\n\\t<li><strong>Annual Landsat P50:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual Landsat P75:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual aggregated indices:</strong><br>\\n        This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.</li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br>\\n        Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method. </li>\\n\\t<li><strong>Bimonthly spectral indices:</strong><br>\\n        This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.</li>\\n</ul>\\n\\n<h3>Related identifiers</h3>\\n\\n<ul>\\n\\t<li><strong>Long-term trend:</strong><br> <a href=\"https://zenodo.org/records/10776891\">2000-2022</a></li>\\n\\t<li><strong>Annual Landsat P25:</strong><br> <a href=\"https://zenodo.org/records/10777969\">2000</a> <a href=\"https://zenodo.org/records/10777971\">2001</a> <a href=\"https://zenodo.org/records/10777973\">2002</a> <a href=\"https://zenodo.org/records/10777975\">2003</a> <a href=\"https://zenodo.org/records/10777977\">2004</a> <a href=\"https://zenodo.org/records/10777979\">2005</a> <a href=\"https://zenodo.org/records/10777981\">2006</a> <a href=\"https://zenodo.org/records/10777983\">2007</a> <a href=\"https://zenodo.org/records/10777985\">2008</a> <a href=\"https://zenodo.org/records/10777987\">2009</a> <a href=\"https://zenodo.org/records/10777989\">2010</a> <a href=\"https://zenodo.org/records/10777991\">2011</a> <a href=\"https://zenodo.org/records/10777993\">2012</a> <a href=\"https://zenodo.org/records/10777995\">2013</a> <a href=\"https://zenodo.org/records/10777997\">2014</a> <a href=\"https://zenodo.org/records/10777999\">2015</a> <a href=\"https://zenodo.org/records/10778001\">2016</a> <a href=\"https://zenodo.org/records/10778003\">2017</a> <a href=\"https://zenodo.org/records/10778005\">2018</a> <a href=\"https://zenodo.org/records/10778007\">2019</a> <a href=\"https://zenodo.org/records/10778009\">2020</a> <a href=\"https://zenodo.org/records/10778011\">2021</a> <a href=\"https://zenodo.org/records/10778013\">2022</a></li>\\n\\t<li><strong>Annual Landsat P50:</strong><br> <a href=\"https://zenodo.org/records/10851076\">2000</a> <a href=\"https://zenodo.org/records/10864828\">2001</a> <a href=\"https://zenodo.org/records/10864838\">2002</a> <a href=\"https://zenodo.org/records/10864852\">2003</a> <a href=\"https://zenodo.org/records/10864874\">2004</a> <a href=\"https://zenodo.org/records/10864896\">2005</a> <a href=\"https://zenodo.org/records/10864952\">2006</a> <a href=\"https://zenodo.org/records/10865027\">2007</a> <a href=\"https://zenodo.org/records/10865253\">2008</a> <a href=\"https://zenodo.org/records/10865315\">2009</a> <a href=\"https://zenodo.org/records/10865398\">2010</a> <a href=\"https://zenodo.org/records/10865486\">2011</a> <a href=\"https://zenodo.org/records/10865536\">2012</a> <a href=\"https://zenodo.org/records/10865630\">2013</a> <a href=\"https://zenodo.org/records/10865721\">2014</a> <a href=\"https://zenodo.org/records/10865803\">2015</a> <a href=\"https://zenodo.org/records/10865857\">2016</a> <a href=\"https://zenodo.org/records/10865905\">2017</a> <a href=\"https://zenodo.org/records/10865920\">2018</a> <a href=\"https://zenodo.org/records/10865948\">2019</a> <a href=\"https://zenodo.org/records/10865973\">2020</a> <a href=\"https://zenodo.org/records/10865992\">2021</a> <a href=\"https://zenodo.org/records/10851078\">2022</a></li>\\n\\t<li><strong>Annual Landsat P75:</strong><br> <a href=\"https://zenodo.org/records/10851080\">2000</a> <a href=\"https://zenodo.org/records/10866025\">2001</a> <a href=\"https://zenodo.org/records/10866071\">2002</a> <a href=\"https://zenodo.org/records/10866095\">2003</a> <a href=\"https://zenodo.org/records/10866108\">2004</a> <a href=\"https://zenodo.org/records/10866121\">2005</a> <a href=\"https://zenodo.org/records/10866153\">2006</a> <a href=\"https://zenodo.org/records/10866194\">2007</a> <a href=\"https://zenodo.org/records/10866224\">2008</a> <a href=\"https://zenodo.org/records/10866256\">2009</a> <a href=\"https://zenodo.org/records/10866294\">2010</a> <a href=\"https://zenodo.org/records/10866319\">2011</a> <a href=\"https://zenodo.org/records/10866337\">2012</a> <a href=\"https://zenodo.org/records/10866367\">2013</a> <a href=\"https://zenodo.org/records/10866410\">2014</a> <a href=\"https://zenodo.org/records/10866436\">2015</a> <a href=\"https://zenodo.org/records/10866474\">2016</a> <a href=\"https://zenodo.org/records/10866496\">2017</a> <a href=\"https://zenodo.org/records/10866514\">2018</a> <a href=\"https://zenodo.org/records/10866533\">2019</a> <a href=\"https://zenodo.org/records/10866572\">2020</a> <a href=\"https://zenodo.org/records/10866603\">2021</a> <a href=\"https://zenodo.org/records/10851082\">2022</a></li>\\n\\t<li><strong>Annual aggregated indices:</strong><br> <a href=\"https://zenodo.org/records/10777868\">2000</a> <a href=\"https://zenodo.org/records/10777870\">2001</a> <a href=\"https://zenodo.org/records/10777872\">2002</a> <a href=\"https://zenodo.org/records/10777874\">2003</a> <a href=\"https://zenodo.org/records/10777876\">2004</a> <a href=\"https://zenodo.org/records/10777878\">2005</a> <a href=\"https://zenodo.org/records/10777880\">2006</a> <a href=\"https://zenodo.org/records/10777882\">2007</a> <a href=\"https://zenodo.org/records/10777884\">2008</a> <a href=\"https://zenodo.org/records/10777886\">2009</a> <a href=\"https://zenodo.org/records/10777888\">2010</a> <a href=\"https://zenodo.org/records/10777890\">2011</a> <a href=\"https://zenodo.org/records/10777892\">2012</a> <a href=\"https://zenodo.org/records/10777894\">2013</a> <a href=\"https://zenodo.org/records/10777896\">2014</a> <a href=\"https://zenodo.org/records/10777898\">2015</a> <a href=\"https://zenodo.org/records/10777900\">2016</a> <a href=\"https://zenodo.org/records/10777902\">2017</a> <a href=\"https://zenodo.org/records/10777904\">2018</a> <a href=\"https://zenodo.org/records/10777906\">2019</a> <a href=\"https://zenodo.org/records/10777908\">2020</a> <a href=\"https://zenodo.org/records/10777910\">2021</a> <a href=\"https://zenodo.org/records/10777912\">2022</a></li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br> 2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)</li>\\n    <li><strong>Bimonthly spectral indices:</strong><br> 2000 (<a href=\"https://zenodo.org/records/10884234\">Jan</a> <a href=\"https://zenodo.org/records/10884272\">Mar</a> <a href=\"https://zenodo.org/records/10884296\">May</a> <a href=\"https://zenodo.org/records/10884311\">Jul</a> <a href=\"https://zenodo.org/records/10884340\">Sep</a> <a href=\"https://zenodo.org/records/10884358\">Nov</a>) 2022 (<a href=\"https://zenodo.org/records/10884387\">Jan</a> <a href=\"https://zenodo.org/records/10884406\">Mar</a> <a href=\"https://zenodo.org/records/10884419\">May</a> <a href=\"https://zenodo.org/records/10884447\">Jul</a> <a href=\"https://zenodo.org/records/10884482\">Sep</a> <a href=\"https://zenodo.org/records/10884503\">Nov</a>)</li>\\n</ul>\\n\\n<h3>Data Details</h3>\\n\\n<ul>\\n\\t<li><strong>Time period:</strong> 2000&ndash;2022</li>\\n\\t<li><strong>Type of data:</strong> soil health data cube, with selected indices relevant to soil health monitoring.</li>\\n\\t<li><strong>How the data was collected or derived:</strong> Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the <a href=\"https://www.google.com/url?q=https://github.com/scikit-map/scikit-map&amp;sa=D&amp;source=editors&amp;ust=1709416957187420&amp;usg=AOvVaw0xPIjlSKqwC6IUCHDWnLlO\">Scikit-map</a> Python package.</li>\\n\\t<li><strong>Statistical methods used:</strong> band operation, time series analysis and statistics calculation</li>\\n\\t<li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Svalbard. </li>\\n\\t<li><strong>Coordinate reference system:</strong> EPSG:3035</li>\\n\\t<li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900,000, 899,000, 7,401,000, 5,501,000)</li>\\n\\t<li><strong>Spatial resolution:</strong> 30m</li>\\n\\t<li><strong>Image size:</strong> 216,700P x 153,400L</li>\\n\\t<li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li>\\n</ul>\\n\\n<h3>Support</h3>\\n\\n<p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)</p>\\n\\n<h3>Name convention</h3>\\n\\n<p>To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p>\\n\\n<ol>\\n\\t<li><strong>generic variable name:</strong> ndti.min.slopes = the long term slope of minNDTI</li>\\n\\t<li><strong>variable procedure combination:</strong> glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI</li>\\n\\t<li><strong>Position in the probability distribution/variable type:</strong> m = mean | sd = standard deviation | n = number of observations | qa = quality assessment</li>\\n\\t<li><strong>Spatial support:</strong> 30m</li>\\n\\t<li><strong>Depth reference:</strong> s = surface</li>\\n\\t<li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li>\\n\\t<li><strong>Time reference end time:</strong> 20221231 = 2022-12-31</li>\\n\\t<li><strong>Bounding box:</strong> go = global (without Antarctica)</li>\\n\\t<li><strong>EPSG code:</strong> epsg.3035</li>\\n\\t<li><strong>Version code:</strong> v20231218 = 2023-12-18 (creation date)</li>\\n</ol>',\n",
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       "      {'name': 'Ho, Yufeng',\n",
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       "     'publication_date': '2024-03-27',\n",
       "     'description': '<h2>Description</h2>\\n\\n<p>This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.</p>\\n\\n<h3>General Description</h3>\\n\\n<p>This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:</p>\\n\\n<ul>\\n\\t<li><strong>Long-term trend (2000-2022):</strong><br>\\n        The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022. </li>\\n\\t<li><strong>Annual Landsat P25:</strong><br>\\n        Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI. </li>\\n\\t<li><strong>Annual Landsat P50:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual Landsat P75:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual aggregated indices:</strong><br>\\n        This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.</li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br>\\n        Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method. </li>\\n\\t<li><strong>Bimonthly spectral indices:</strong><br>\\n        This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.</li>\\n</ul>\\n\\n<h3>Related identifiers</h3>\\n\\n<ul>\\n\\t<li><strong>Long-term trend:</strong><br> <a href=\"https://zenodo.org/records/10776891\">2000-2022</a></li>\\n\\t<li><strong>Annual Landsat P25:</strong><br> <a href=\"https://zenodo.org/records/10777969\">2000</a> <a href=\"https://zenodo.org/records/10777971\">2001</a> <a href=\"https://zenodo.org/records/10777973\">2002</a> <a href=\"https://zenodo.org/records/10777975\">2003</a> <a href=\"https://zenodo.org/records/10777977\">2004</a> <a href=\"https://zenodo.org/records/10777979\">2005</a> <a href=\"https://zenodo.org/records/10777981\">2006</a> <a href=\"https://zenodo.org/records/10777983\">2007</a> <a href=\"https://zenodo.org/records/10777985\">2008</a> <a href=\"https://zenodo.org/records/10777987\">2009</a> <a href=\"https://zenodo.org/records/10777989\">2010</a> <a href=\"https://zenodo.org/records/10777991\">2011</a> <a href=\"https://zenodo.org/records/10777993\">2012</a> <a href=\"https://zenodo.org/records/10777995\">2013</a> <a href=\"https://zenodo.org/records/10777997\">2014</a> <a href=\"https://zenodo.org/records/10777999\">2015</a> <a href=\"https://zenodo.org/records/10778001\">2016</a> <a href=\"https://zenodo.org/records/10778003\">2017</a> <a href=\"https://zenodo.org/records/10778005\">2018</a> <a href=\"https://zenodo.org/records/10778007\">2019</a> <a href=\"https://zenodo.org/records/10778009\">2020</a> <a href=\"https://zenodo.org/records/10778011\">2021</a> <a href=\"https://zenodo.org/records/10778013\">2022</a></li>\\n\\t<li><strong>Annual Landsat P50:</strong><br> <a href=\"https://zenodo.org/records/10851076\">2000</a> <a href=\"https://zenodo.org/records/10864828\">2001</a> <a href=\"https://zenodo.org/records/10864838\">2002</a> <a href=\"https://zenodo.org/records/10864852\">2003</a> <a href=\"https://zenodo.org/records/10864874\">2004</a> <a href=\"https://zenodo.org/records/10864896\">2005</a> <a href=\"https://zenodo.org/records/10864952\">2006</a> <a href=\"https://zenodo.org/records/10865027\">2007</a> <a href=\"https://zenodo.org/records/10865253\">2008</a> <a href=\"https://zenodo.org/records/10865315\">2009</a> <a href=\"https://zenodo.org/records/10865398\">2010</a> <a href=\"https://zenodo.org/records/10865486\">2011</a> <a href=\"https://zenodo.org/records/10865536\">2012</a> <a href=\"https://zenodo.org/records/10865630\">2013</a> <a href=\"https://zenodo.org/records/10865721\">2014</a> <a href=\"https://zenodo.org/records/10865803\">2015</a> <a href=\"https://zenodo.org/records/10865857\">2016</a> <a href=\"https://zenodo.org/records/10865905\">2017</a> <a href=\"https://zenodo.org/records/10865920\">2018</a> <a href=\"https://zenodo.org/records/10865948\">2019</a> <a href=\"https://zenodo.org/records/10865973\">2020</a> <a href=\"https://zenodo.org/records/10865992\">2021</a> <a href=\"https://zenodo.org/records/10851078\">2022</a></li>\\n\\t<li><strong>Annual Landsat P75:</strong><br> <a href=\"https://zenodo.org/records/10851080\">2000</a> <a href=\"https://zenodo.org/records/10866025\">2001</a> <a href=\"https://zenodo.org/records/10866071\">2002</a> <a href=\"https://zenodo.org/records/10866095\">2003</a> <a href=\"https://zenodo.org/records/10866108\">2004</a> <a href=\"https://zenodo.org/records/10866121\">2005</a> <a href=\"https://zenodo.org/records/10866153\">2006</a> <a href=\"https://zenodo.org/records/10866194\">2007</a> <a href=\"https://zenodo.org/records/10866224\">2008</a> <a href=\"https://zenodo.org/records/10866256\">2009</a> <a href=\"https://zenodo.org/records/10866294\">2010</a> <a href=\"https://zenodo.org/records/10866319\">2011</a> <a href=\"https://zenodo.org/records/10866337\">2012</a> <a href=\"https://zenodo.org/records/10866367\">2013</a> <a href=\"https://zenodo.org/records/10866410\">2014</a> <a href=\"https://zenodo.org/records/10866436\">2015</a> <a href=\"https://zenodo.org/records/10866474\">2016</a> <a href=\"https://zenodo.org/records/10866496\">2017</a> <a href=\"https://zenodo.org/records/10866514\">2018</a> <a href=\"https://zenodo.org/records/10866533\">2019</a> <a href=\"https://zenodo.org/records/10866572\">2020</a> <a href=\"https://zenodo.org/records/10866603\">2021</a> <a href=\"https://zenodo.org/records/10851082\">2022</a></li>\\n\\t<li><strong>Annual aggregated indices:</strong><br> <a href=\"https://zenodo.org/records/10777868\">2000</a> <a href=\"https://zenodo.org/records/10777870\">2001</a> <a href=\"https://zenodo.org/records/10777872\">2002</a> <a href=\"https://zenodo.org/records/10777874\">2003</a> <a href=\"https://zenodo.org/records/10777876\">2004</a> <a href=\"https://zenodo.org/records/10777878\">2005</a> <a href=\"https://zenodo.org/records/10777880\">2006</a> <a href=\"https://zenodo.org/records/10777882\">2007</a> <a href=\"https://zenodo.org/records/10777884\">2008</a> <a href=\"https://zenodo.org/records/10777886\">2009</a> <a href=\"https://zenodo.org/records/10777888\">2010</a> <a href=\"https://zenodo.org/records/10777890\">2011</a> <a href=\"https://zenodo.org/records/10777892\">2012</a> <a href=\"https://zenodo.org/records/10777894\">2013</a> <a href=\"https://zenodo.org/records/10777896\">2014</a> <a href=\"https://zenodo.org/records/10777898\">2015</a> <a href=\"https://zenodo.org/records/10777900\">2016</a> <a href=\"https://zenodo.org/records/10777902\">2017</a> <a href=\"https://zenodo.org/records/10777904\">2018</a> <a href=\"https://zenodo.org/records/10777906\">2019</a> <a href=\"https://zenodo.org/records/10777908\">2020</a> <a href=\"https://zenodo.org/records/10777910\">2021</a> <a href=\"https://zenodo.org/records/10777912\">2022</a></li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br> 2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)</li>\\n    <li><strong>Bimonthly spectral indices:</strong><br> 2000 (<a href=\"https://zenodo.org/records/10884234\">Jan</a> <a href=\"https://zenodo.org/records/10884272\">Mar</a> <a href=\"https://zenodo.org/records/10884296\">May</a> <a href=\"https://zenodo.org/records/10884311\">Jul</a> <a href=\"https://zenodo.org/records/10884340\">Sep</a> <a href=\"https://zenodo.org/records/10884358\">Nov</a>) 2022 (<a href=\"https://zenodo.org/records/10884387\">Jan</a> <a href=\"https://zenodo.org/records/10884406\">Mar</a> <a href=\"https://zenodo.org/records/10884419\">May</a> <a href=\"https://zenodo.org/records/10884447\">Jul</a> <a href=\"https://zenodo.org/records/10884482\">Sep</a> <a href=\"https://zenodo.org/records/10884503\">Nov</a>)</li>\\n</ul>\\n\\n<h3>Data Details</h3>\\n\\n<ul>\\n\\t<li><strong>Time period:</strong> 2000&ndash;2022</li>\\n\\t<li><strong>Type of data:</strong> soil health data cube, with selected indices relevant to soil health monitoring.</li>\\n\\t<li><strong>How the data was collected or derived:</strong> Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the <a href=\"https://www.google.com/url?q=https://github.com/scikit-map/scikit-map&amp;sa=D&amp;source=editors&amp;ust=1709416957187420&amp;usg=AOvVaw0xPIjlSKqwC6IUCHDWnLlO\">Scikit-map</a> Python package.</li>\\n\\t<li><strong>Statistical methods used:</strong> band operation, time series analysis and statistics calculation</li>\\n\\t<li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Svalbard. </li>\\n\\t<li><strong>Coordinate reference system:</strong> EPSG:3035</li>\\n\\t<li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900,000, 899,000, 7,401,000, 5,501,000)</li>\\n\\t<li><strong>Spatial resolution:</strong> 30m</li>\\n\\t<li><strong>Image size:</strong> 216,700P x 153,400L</li>\\n\\t<li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li>\\n</ul>\\n\\n<h3>Support</h3>\\n\\n<p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)</p>\\n\\n<h3>Name convention</h3>\\n\\n<p>To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p>\\n\\n<ol>\\n\\t<li><strong>generic variable name:</strong> ndti.min.slopes = the long term slope of minNDTI</li>\\n\\t<li><strong>variable procedure combination:</strong> glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI</li>\\n\\t<li><strong>Position in the probability distribution/variable type:</strong> m = mean | sd = standard deviation | n = number of observations | qa = quality assessment</li>\\n\\t<li><strong>Spatial support:</strong> 30m</li>\\n\\t<li><strong>Depth reference:</strong> s = surface</li>\\n\\t<li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li>\\n\\t<li><strong>Time reference end time:</strong> 20221231 = 2022-12-31</li>\\n\\t<li><strong>Bounding box:</strong> go = global (without Antarctica)</li>\\n\\t<li><strong>EPSG code:</strong> epsg.3035</li>\\n\\t<li><strong>Version code:</strong> v20231218 = 2023-12-18 (creation date)</li>\\n</ol>',\n",
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       "      {'name': 'Ho, Yufeng',\n",
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       "     'publication_date': '2024-03-27',\n",
       "     'description': '<h2>Description</h2>\\n\\n<p>This data is part of the Soil Health data cube (EU, 30m) dataset. Check the related identifiers section below to access other parts of the dataset.</p>\\n\\n<h3>General Description</h3>\\n\\n<p>This dataset covers pan-European areas, including Ukraine, the UK, and Turkey. This data cube could be used for applications such as soil property mapping and comprehensive soil health assessment across Europe. This data cube includes:</p>\\n\\n<ul>\\n\\t<li><strong>Long-term trend (2000-2022):</strong><br>\\n        The long term trend data includes 4 pan-European trend maps: NDVI P50 trend, NDWI P50 trend, BSF trend, and minNDTI trend. They are calculated from the corresponding annual indices from 2000 to 2022. </li>\\n\\t<li><strong>Annual Landsat P25:</strong><br>\\n        Derived from bimonthly Landsat surface reflectance bands, this data provides an annually aggregated P25 from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, thermal bands, and 2 indices NDVI and NDWI. </li>\\n\\t<li><strong>Annual Landsat P50:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P50 instead. This data includes annual P50 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual Landsat P75:</strong><br>\\n        Similar to annual Landsat bands P25, but is aggregated as P75 instead. This data includes annual P75 aggregation of red, green, blue, nir, swir1, swir2, thermal, NDVI, and NDWI.</li>\\n\\t<li><strong>Annual aggregated indices:</strong><br>\\n        This dataset includes minimum NDTI, BSF, NOS and CDR. Each of them are annually aggregated from bimonthly NDVI time series within the corresponding year, through time analysis and statistics calculation.</li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br>\\n        Derived from Landsat ARD v2 to analysis-ready, cloud-optimized bimonthly Landsat surface reflectance bands, spanning from 2000 to 2022. The bands include red, green, blue, nir, swir1, swir2, and thermal bands.  Landsat ARD v2 provides spatial data of these bands, as well as the quality band at 16 days (23 layers of each year) interval from 2000 to 2023. Only pixels with clear sky according to quality band are kept. The gaps are firstly reduced by aggregating the 16 days interval data to bimonthly. The left gaps are then be gapfilled with SWAG method. </li>\\n\\t<li><strong>Bimonthly spectral indices:</strong><br>\\n        This dataset is derived from bimonthly Landsat surface reflectance bands through band operation, including NDVI, BSI, NDTI, NDSI, SAVI, NDWI, and FAPAR.</li>\\n</ul>\\n\\n<h3>Related identifiers</h3>\\n\\n<ul>\\n\\t<li><strong>Long-term trend:</strong><br> <a href=\"https://zenodo.org/records/10776891\">2000-2022</a></li>\\n\\t<li><strong>Annual Landsat P25:</strong><br> <a href=\"https://zenodo.org/records/10777969\">2000</a> <a href=\"https://zenodo.org/records/10777971\">2001</a> <a href=\"https://zenodo.org/records/10777973\">2002</a> <a href=\"https://zenodo.org/records/10777975\">2003</a> <a href=\"https://zenodo.org/records/10777977\">2004</a> <a href=\"https://zenodo.org/records/10777979\">2005</a> <a href=\"https://zenodo.org/records/10777981\">2006</a> <a href=\"https://zenodo.org/records/10777983\">2007</a> <a href=\"https://zenodo.org/records/10777985\">2008</a> <a href=\"https://zenodo.org/records/10777987\">2009</a> <a href=\"https://zenodo.org/records/10777989\">2010</a> <a href=\"https://zenodo.org/records/10777991\">2011</a> <a href=\"https://zenodo.org/records/10777993\">2012</a> <a href=\"https://zenodo.org/records/10777995\">2013</a> <a href=\"https://zenodo.org/records/10777997\">2014</a> <a href=\"https://zenodo.org/records/10777999\">2015</a> <a href=\"https://zenodo.org/records/10778001\">2016</a> <a href=\"https://zenodo.org/records/10778003\">2017</a> <a href=\"https://zenodo.org/records/10778005\">2018</a> <a href=\"https://zenodo.org/records/10778007\">2019</a> <a href=\"https://zenodo.org/records/10778009\">2020</a> <a href=\"https://zenodo.org/records/10778011\">2021</a> <a href=\"https://zenodo.org/records/10778013\">2022</a></li>\\n\\t<li><strong>Annual Landsat P50:</strong><br> <a href=\"https://zenodo.org/records/10851076\">2000</a> <a href=\"https://zenodo.org/records/10864828\">2001</a> <a href=\"https://zenodo.org/records/10864838\">2002</a> <a href=\"https://zenodo.org/records/10864852\">2003</a> <a href=\"https://zenodo.org/records/10864874\">2004</a> <a href=\"https://zenodo.org/records/10864896\">2005</a> <a href=\"https://zenodo.org/records/10864952\">2006</a> <a href=\"https://zenodo.org/records/10865027\">2007</a> <a href=\"https://zenodo.org/records/10865253\">2008</a> <a href=\"https://zenodo.org/records/10865315\">2009</a> <a href=\"https://zenodo.org/records/10865398\">2010</a> <a href=\"https://zenodo.org/records/10865486\">2011</a> <a href=\"https://zenodo.org/records/10865536\">2012</a> <a href=\"https://zenodo.org/records/10865630\">2013</a> <a href=\"https://zenodo.org/records/10865721\">2014</a> <a href=\"https://zenodo.org/records/10865803\">2015</a> <a href=\"https://zenodo.org/records/10865857\">2016</a> <a href=\"https://zenodo.org/records/10865905\">2017</a> <a href=\"https://zenodo.org/records/10865920\">2018</a> <a href=\"https://zenodo.org/records/10865948\">2019</a> <a href=\"https://zenodo.org/records/10865973\">2020</a> <a href=\"https://zenodo.org/records/10865992\">2021</a> <a href=\"https://zenodo.org/records/10851078\">2022</a></li>\\n\\t<li><strong>Annual Landsat P75:</strong><br> <a href=\"https://zenodo.org/records/10851080\">2000</a> <a href=\"https://zenodo.org/records/10866025\">2001</a> <a href=\"https://zenodo.org/records/10866071\">2002</a> <a href=\"https://zenodo.org/records/10866095\">2003</a> <a href=\"https://zenodo.org/records/10866108\">2004</a> <a href=\"https://zenodo.org/records/10866121\">2005</a> <a href=\"https://zenodo.org/records/10866153\">2006</a> <a href=\"https://zenodo.org/records/10866194\">2007</a> <a href=\"https://zenodo.org/records/10866224\">2008</a> <a href=\"https://zenodo.org/records/10866256\">2009</a> <a href=\"https://zenodo.org/records/10866294\">2010</a> <a href=\"https://zenodo.org/records/10866319\">2011</a> <a href=\"https://zenodo.org/records/10866337\">2012</a> <a href=\"https://zenodo.org/records/10866367\">2013</a> <a href=\"https://zenodo.org/records/10866410\">2014</a> <a href=\"https://zenodo.org/records/10866436\">2015</a> <a href=\"https://zenodo.org/records/10866474\">2016</a> <a href=\"https://zenodo.org/records/10866496\">2017</a> <a href=\"https://zenodo.org/records/10866514\">2018</a> <a href=\"https://zenodo.org/records/10866533\">2019</a> <a href=\"https://zenodo.org/records/10866572\">2020</a> <a href=\"https://zenodo.org/records/10866603\">2021</a> <a href=\"https://zenodo.org/records/10851082\">2022</a></li>\\n\\t<li><strong>Annual aggregated indices:</strong><br> <a href=\"https://zenodo.org/records/10777868\">2000</a> <a href=\"https://zenodo.org/records/10777870\">2001</a> <a href=\"https://zenodo.org/records/10777872\">2002</a> <a href=\"https://zenodo.org/records/10777874\">2003</a> <a href=\"https://zenodo.org/records/10777876\">2004</a> <a href=\"https://zenodo.org/records/10777878\">2005</a> <a href=\"https://zenodo.org/records/10777880\">2006</a> <a href=\"https://zenodo.org/records/10777882\">2007</a> <a href=\"https://zenodo.org/records/10777884\">2008</a> <a href=\"https://zenodo.org/records/10777886\">2009</a> <a href=\"https://zenodo.org/records/10777888\">2010</a> <a href=\"https://zenodo.org/records/10777890\">2011</a> <a href=\"https://zenodo.org/records/10777892\">2012</a> <a href=\"https://zenodo.org/records/10777894\">2013</a> <a href=\"https://zenodo.org/records/10777896\">2014</a> <a href=\"https://zenodo.org/records/10777898\">2015</a> <a href=\"https://zenodo.org/records/10777900\">2016</a> <a href=\"https://zenodo.org/records/10777902\">2017</a> <a href=\"https://zenodo.org/records/10777904\">2018</a> <a href=\"https://zenodo.org/records/10777906\">2019</a> <a href=\"https://zenodo.org/records/10777908\">2020</a> <a href=\"https://zenodo.org/records/10777910\">2021</a> <a href=\"https://zenodo.org/records/10777912\">2022</a></li>\\n    <li><strong>Bimonthly Landsat bands:</strong><br> 2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov)</li>\\n    <li><strong>Bimonthly spectral indices:</strong><br> 2000 (<a href=\"https://zenodo.org/records/10884234\">Jan</a> <a href=\"https://zenodo.org/records/10884272\">Mar</a> <a href=\"https://zenodo.org/records/10884296\">May</a> <a href=\"https://zenodo.org/records/10884311\">Jul</a> <a href=\"https://zenodo.org/records/10884340\">Sep</a> <a href=\"https://zenodo.org/records/10884358\">Nov</a>) 2022 (<a href=\"https://zenodo.org/records/10884387\">Jan</a> <a href=\"https://zenodo.org/records/10884406\">Mar</a> <a href=\"https://zenodo.org/records/10884419\">May</a> <a href=\"https://zenodo.org/records/10884447\">Jul</a> <a href=\"https://zenodo.org/records/10884482\">Sep</a> <a href=\"https://zenodo.org/records/10884503\">Nov</a>)</li>\\n</ul>\\n\\n<h3>Data Details</h3>\\n\\n<ul>\\n\\t<li><strong>Time period:</strong> 2000&ndash;2022</li>\\n\\t<li><strong>Type of data:</strong> soil health data cube, with selected indices relevant to soil health monitoring.</li>\\n\\t<li><strong>How the data was collected or derived:</strong> Derived from Landsat ARD v2. Cloudy pixels were removed and only clear sky values were considered in further processing. The time-series gap-filling and time-series aggregation were computed using the <a href=\"https://www.google.com/url?q=https://github.com/scikit-map/scikit-map&amp;sa=D&amp;source=editors&amp;ust=1709416957187420&amp;usg=AOvVaw0xPIjlSKqwC6IUCHDWnLlO\">Scikit-map</a> Python package.</li>\\n\\t<li><strong>Statistical methods used:</strong> band operation, time series analysis and statistics calculation</li>\\n\\t<li><strong>Limitations or exclusions in the data:</strong> The dataset does not include data for Svalbard. </li>\\n\\t<li><strong>Coordinate reference system:</strong> EPSG:3035</li>\\n\\t<li><strong>Bounding box (Xmin, Ymin, Xmax, Ymax):</strong> (900,000, 899,000, 7,401,000, 5,501,000)</li>\\n\\t<li><strong>Spatial resolution:</strong> 30m</li>\\n\\t<li><strong>Image size:</strong> 216,700P x 153,400L</li>\\n\\t<li><strong>File format:</strong> Cloud Optimized Geotiff (COG) format.</li>\\n</ul>\\n\\n<h3>Support</h3>\\n\\n<p>If you discover a bug, artifact, or inconsistency, or if you have a question please raise a GitHub issue: GitLab Issues (tbc)</p>\\n\\n<h3>Name convention</h3>\\n\\n<p>To ensure consistency and ease of use across and within the projects, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:</p>\\n\\n<ol>\\n\\t<li><strong>generic variable name:</strong> ndti.min.slopes = the long term slope of minNDTI</li>\\n\\t<li><strong>variable procedure combination:</strong> glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI</li>\\n\\t<li><strong>Position in the probability distribution/variable type:</strong> m = mean | sd = standard deviation | n = number of observations | qa = quality assessment</li>\\n\\t<li><strong>Spatial support:</strong> 30m</li>\\n\\t<li><strong>Depth reference:</strong> s = surface</li>\\n\\t<li><strong>Time reference begin time:</strong> 20000101 = 2000-01-01</li>\\n\\t<li><strong>Time reference end time:</strong> 20221231 = 2022-12-31</li>\\n\\t<li><strong>Bounding box:</strong> go = global (without Antarctica)</li>\\n\\t<li><strong>EPSG code:</strong> epsg.3035</li>\\n\\t<li><strong>Version code:</strong> v20231218 = 2023-12-18 (creation date)</li>\\n</ol>',\n",
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       "      {'name': 'Consoli, Davide',\n",
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       "      {'name': 'Leandro Parente',\n",
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       "      {'name': 'Ho, Yufeng',\n",
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       "    {'key': 'Land Use',\n",
       "     'doc_count': 1,\n",
       "     'label': 'Land Use',\n",
       "     'is_selected': False},\n",
       "    {'key': 'area statistics',\n",
       "     'doc_count': 1,\n",
       "     'label': 'area statistics',\n",
       "     'is_selected': False},\n",
       "    {'key': 'land cover',\n",
       "     'doc_count': 1,\n",
       "     'label': 'land cover',\n",
       "     'is_selected': False},\n",
       "    {'key': 'post-processing',\n",
       "     'doc_count': 1,\n",
       "     'label': 'post-processing',\n",
       "     'is_selected': False}],\n",
       "   'label': 'Subjects'},\n",
       "  'file_type': {'buckets': [{'key': 'png',\n",
       "     'doc_count': 133,\n",
       "     'label': 'PNG',\n",
       "     'is_selected': False},\n",
       "    {'key': 'tiff', 'doc_count': 133, 'label': 'TIFF', 'is_selected': False},\n",
       "    {'key': 'csv', 'doc_count': 1, 'label': 'CSV', 'is_selected': False},\n",
       "    {'key': 'pdf', 'doc_count': 1, 'label': 'PDF', 'is_selected': False},\n",
       "    {'key': 'py', 'doc_count': 1, 'label': 'PY', 'is_selected': False},\n",
       "    {'key': 'txt', 'doc_count': 1, 'label': 'TXT', 'is_selected': False},\n",
       "    {'key': 'zip', 'doc_count': 1, 'label': 'ZIP', 'is_selected': False}],\n",
       "   'label': 'File type'}},\n",
       " 'links': {'self': 'https://zenodo.org/api/user/records?allversions=False&page=1&size=10&sort=newest',\n",
       "  'next': 'https://zenodo.org/api/user/records?allversions=False&page=2&size=10&sort=newest'}}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "146"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hits['hits']['total']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(hits['hits']['hits'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': '2024-04-03T12:02:30.154551+00:00',\n",
       " 'modified': '2024-04-05T12:58:39.085218+00:00',\n",
       " 'id': 10911935,\n",
       " 'conceptrecid': '10911934',\n",
       " 'metadata': {'access_right': 'open',\n",
       "  'relations': {'version': [{'index': 0,\n",
       "     'is_last': False,\n",
       "     'parent': {'pid_type': 'recid', 'pid_value': '10911934'}}]}},\n",
       " 'title': '',\n",
       " 'links': {'self': 'https://zenodo.org/api/records/10911935',\n",
       "  'self_html': 'https://zenodo.org/records/10911935',\n",
       "  'parent': 'https://zenodo.org/api/records/10911934',\n",
       "  'parent_html': 'https://zenodo.org/records/10911934',\n",
       "  'parent_doi': 'https://zenodo.org/doi/',\n",
       "  'self_iiif_manifest': 'https://zenodo.org/api/iiif/record:10911935/manifest',\n",
       "  'self_iiif_sequence': 'https://zenodo.org/api/iiif/record:10911935/sequence/default',\n",
       "  'files': 'https://zenodo.org/api/records/10911935/files',\n",
       "  'media_files': 'https://zenodo.org/api/records/10911935/media-files',\n",
       "  'archive': 'https://zenodo.org/api/records/10911935/files-archive',\n",
       "  'archive_media': 'https://zenodo.org/api/records/10911935/media-files-archive',\n",
       "  'latest': 'https://zenodo.org/api/records/10911935/versions/latest',\n",
       "  'latest_html': 'https://zenodo.org/records/10911935/latest',\n",
       "  'draft': 'https://zenodo.org/api/records/10911935/draft',\n",
       "  'versions': 'https://zenodo.org/api/records/10911935/versions',\n",
       "  'access_links': 'https://zenodo.org/api/records/10911935/access/links',\n",
       "  'access_users': 'https://zenodo.org/api/records/10911935/access/users',\n",
       "  'access_request': 'https://zenodo.org/api/records/10911935/access/request',\n",
       "  'access': 'https://zenodo.org/api/records/10911935/access',\n",
       "  'reserve_doi': 'https://zenodo.org/api/records/10911935/draft/pids/doi',\n",
       "  'communities': 'https://zenodo.org/api/records/10911935/communities',\n",
       "  'communities-suggestions': 'https://zenodo.org/api/records/10911935/communities-suggestions',\n",
       "  'requests': 'https://zenodo.org/api/records/10911935/requests'},\n",
       " 'updated': '2024-04-05T12:58:39.085218+00:00',\n",
       " 'recid': '10911935',\n",
       " 'revision': 5,\n",
       " 'files': [],\n",
       " 'owners': [{'id': 589458}],\n",
       " 'status': 'published',\n",
       " 'stats': {'downloads': 0,\n",
       "  'unique_downloads': 0,\n",
       "  'views': 0,\n",
       "  'unique_views': 0,\n",
       "  'version_downloads': 0,\n",
       "  'version_unique_downloads': 0,\n",
       "  'version_unique_views': 0,\n",
       "  'version_views': 0},\n",
       " 'state': 'unsubmitted',\n",
       " 'submitted': False}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hits['hits']['hits'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DEBUG:urllib3.connectionpool:Starting new HTTPS connection (1): zenodo.org:443\n",
      "DEBUG:urllib3.connectionpool:https://zenodo.org:443 \"GET /api/records/10911935/draft HTTP/1.1\" 200 None\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "send: b'GET /api/records/10911935/draft HTTP/1.1\\r\\nHost: zenodo.org\\r\\nUser-Agent: python-requests/2.31.0\\r\\nAccept-Encoding: gzip, deflate\\r\\nAccept: application/json\\r\\nConnection: keep-alive\\r\\nAuthorization: Bearer fA2zvScoqZstX0vxNQ0XDPZKoNGhyNS45dXM3ex9kmfj4uywgS3ytQdo5Jar\\r\\n\\r\\n'\n",
      "reply: 'HTTP/1.1 200 OK\\r\\n'\n",
      "header: server: nginx\n",
      "header: date: Fri, 05 Apr 2024 13:48:27 GMT\n",
      "header: content-type: application/json\n",
      "header: transfer-encoding: chunked\n",
      "header: vary: Accept-Encoding\n",
      "header: etag: W/\"9\"\n",
      "header: access-control-allow-origin: *\n",
      "header: access-control-expose-headers: Content-Type, ETag, Link, X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Reset\n",
      "header: x-ratelimit-limit: 1000\n",
      "header: x-ratelimit-remaining: 998\n",
      "header: x-ratelimit-reset: 1712324933\n",
      "header: retry-after: 25\n",
      "header: permissions-policy: interest-cohort=()\n",
      "header: x-frame-options: sameorigin\n",
      "header: x-xss-protection: 1; mode=block\n",
      "header: x-content-type-options: nosniff\n",
      "header: content-security-policy: default-src 'self' fonts.googleapis.com *.gstatic.com data: 'unsafe-inline' 'unsafe-eval' blob: zenodo-broker.web.cern.ch zenodo-broker-qa.web.cern.ch maxcdn.bootstrapcdn.com cdnjs.cloudflare.com ajax.googleapis.com webanalytics.web.cern.ch\n",
      "header: strict-transport-security: max-age=31556926; includeSubDomains\n",
      "header: referrer-policy: strict-origin-when-cross-origin\n",
      "header: strict-transport-security: max-age=15768000\n",
      "header: x-request-id: 9535f9dab3a842f70086a000bf643bb2\n",
      "header: content-encoding: gzip\n",
      "header: set-cookie: 5569e5a730cade8ff2b54f1e815f3670=d1a51cfbe3ad8195010eaa090c6889ee; path=/; HttpOnly; Secure; SameSite=None\n",
      "header: cache-control: private\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<zen.record.Draft at 0x7f023edd6c40>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "id = '10911935'\n",
    "zen.get_draft(id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "InvenioRDMError",
     "evalue": "Status code 500 (Internal Server Error): The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mInvenioRDMError\u001b[0m                           Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m drf \u001b[38;5;241m=\u001b[39m \u001b[43mzen\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_or_create_draft\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m.test.json\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/gh/zen/zen/invenioRDM.py:312\u001b[0m, in \u001b[0;36mInvenioRDM.load_or_create_draft\u001b[0;34m(self, filename, params, headers)\u001b[0m\n\u001b[1;32m    307\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload_or_create_draft\u001b[39m(\u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m    308\u001b[0m                          filename: \u001b[38;5;28mstr\u001b[39m,\n\u001b[1;32m    309\u001b[0m                          params: Optional[Dict[\u001b[38;5;28mstr\u001b[39m,\u001b[38;5;28mstr\u001b[39m]]\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    310\u001b[0m                          headers: Optional[Dict[\u001b[38;5;28mstr\u001b[39m,\u001b[38;5;28mstr\u001b[39m]]\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Draft:\n\u001b[1;32m    311\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 312\u001b[0m         draft \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_draft\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    313\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m:\n\u001b[1;32m    314\u001b[0m         draft \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcreate_draft(params, headers)\n",
      "File \u001b[0;32m~/gh/zen/zen/invenioRDM.py:303\u001b[0m, in \u001b[0;36mInvenioRDM.load_draft\u001b[0;34m(self, filename, params, headers)\u001b[0m\n\u001b[1;32m    301\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mInvalid file content. `id` entry not found.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m    302\u001b[0m     \u001b[38;5;28mid\u001b[39m \u001b[38;5;241m=\u001b[39m data[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mid\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m--> 303\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_draft\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mid\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheaders\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    304\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m:\n\u001b[1;32m    305\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mFile `\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfilename\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m` not found.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "File \u001b[0;32m~/gh/zen/zen/invenioRDM.py:285\u001b[0m, in \u001b[0;36mInvenioRDM.get_draft\u001b[0;34m(self, id, params, headers)\u001b[0m\n\u001b[1;32m    267\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_draft\u001b[39m(\u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m    268\u001b[0m               \u001b[38;5;28mid\u001b[39m: \u001b[38;5;28mstr\u001b[39m, \n\u001b[1;32m    269\u001b[0m               params: Optional[Dict[\u001b[38;5;28mstr\u001b[39m,\u001b[38;5;28mstr\u001b[39m]]\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m    270\u001b[0m               headers: Optional[Dict[\u001b[38;5;28mstr\u001b[39m,\u001b[38;5;28mstr\u001b[39m]]\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Draft:\n\u001b[1;32m    271\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Retrieves a specific deposition from the InvenioRDM API.\u001b[39;00m\n\u001b[1;32m    272\u001b[0m \n\u001b[1;32m    273\u001b[0m \u001b[38;5;124;03m    Args: \u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    283\u001b[0m \u001b[38;5;124;03m    \u001b[39;00m\n\u001b[1;32m    284\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m \n\u001b[0;32m--> 285\u001b[0m     response \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_url\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/api/records/\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[38;5;28;43mid\u001b[39;49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m/draft\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m    286\u001b[0m \u001b[43m                         \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m    287\u001b[0m \u001b[43m                         \u001b[49m\u001b[43mheaders\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheaders\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    288\u001b[0m     data \u001b[38;5;241m=\u001b[39m response\u001b[38;5;241m.\u001b[39mjson()\n\u001b[1;32m    289\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m Draft(data, \u001b[38;5;28mself\u001b[39m)\n",
      "File \u001b[0;32m~/gh/zen/zen/invenioRDM.py:179\u001b[0m, in \u001b[0;36mInvenioRDM._get\u001b[0;34m(self, url, params, headers, **kwargs)\u001b[0m\n\u001b[1;32m    176\u001b[0m response \u001b[38;5;241m=\u001b[39m requests\u001b[38;5;241m.\u001b[39mget(url, params\u001b[38;5;241m=\u001b[39mmerge(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_params, params), \n\u001b[1;32m    177\u001b[0m                         headers\u001b[38;5;241m=\u001b[39mmerge(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_headers, headers), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m    178\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m response\u001b[38;5;241m.\u001b[39mstatus_code \u001b[38;5;129;01min\u001b[39;00m InvenioRDMError\u001b[38;5;241m.\u001b[39mbad_status_codes:\n\u001b[0;32m--> 179\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m InvenioRDMError(response)\n\u001b[1;32m    180\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m response\n",
      "\u001b[0;31mInvenioRDMError\u001b[0m: Status code 500 (Internal Server Error): The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application."
     ]
    }
   ],
   "source": [
    "drf = zen.load_or_create_draft('.test.json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': '2024-04-03T12:02:30.154551+00:00',\n",
       " 'modified': '2024-04-03T12:02:30.220792+00:00',\n",
       " 'id': 10911935,\n",
       " 'conceptrecid': '10911934',\n",
       " 'metadata': {'access_right': 'open',\n",
       "  'relations': {'version': [{'index': 0,\n",
       "     'is_last': False,\n",
       "     'parent': {'pid_type': 'recid', 'pid_value': '10911934'}}]}},\n",
       " 'title': '',\n",
       " 'links': {'self': 'https://zenodo.org/api/records/10911935/draft',\n",
       "  'self_html': 'https://zenodo.org/uploads/10911935',\n",
       "  'self_iiif_manifest': 'https://zenodo.org/api/iiif/draft:10911935/manifest',\n",
       "  'self_iiif_sequence': 'https://zenodo.org/api/iiif/draft:10911935/sequence/default',\n",
       "  'files': 'https://zenodo.org/api/records/10911935/draft/files',\n",
       "  'media_files': 'https://zenodo.org/api/records/10911935/draft/media-files',\n",
       "  'archive': 'https://zenodo.org/api/records/10911935/draft/files-archive',\n",
       "  'archive_media': 'https://zenodo.org/api/records/10911935/draft/media-files-archive',\n",
       "  'record': 'https://zenodo.org/api/records/10911935',\n",
       "  'record_html': 'https://zenodo.org/records/10911935',\n",
       "  'publish': 'https://zenodo.org/api/records/10911935/draft/actions/publish',\n",
       "  'review': 'https://zenodo.org/api/records/10911935/draft/review',\n",
       "  'versions': 'https://zenodo.org/api/records/10911935/versions',\n",
       "  'access_links': 'https://zenodo.org/api/records/10911935/access/links',\n",
       "  'access_users': 'https://zenodo.org/api/records/10911935/access/users',\n",
       "  'access_request': 'https://zenodo.org/api/records/10911935/access/request',\n",
       "  'access': 'https://zenodo.org/api/records/10911935/access',\n",
       "  'reserve_doi': 'https://zenodo.org/api/records/10911935/draft/pids/doi',\n",
       "  'communities': 'https://zenodo.org/api/records/10911935/communities',\n",
       "  'communities-suggestions': 'https://zenodo.org/api/records/10911935/communities-suggestions',\n",
       "  'requests': 'https://zenodo.org/api/records/10911935/requests'},\n",
       " 'updated': '2024-04-03T12:02:30.220792+00:00',\n",
       " 'recid': '10911935',\n",
       " 'revision': 4,\n",
       " 'files': [],\n",
       " 'owners': [{'id': 589458}],\n",
       " 'status': 'draft',\n",
       " 'state': 'unsubmitted',\n",
       " 'submitted': False}"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drf.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'self': 'https://zenodo.org/api/records/10911935/draft',\n",
       " 'self_html': 'https://zenodo.org/uploads/10911935',\n",
       " 'self_iiif_manifest': 'https://zenodo.org/api/iiif/draft:10911935/manifest',\n",
       " 'self_iiif_sequence': 'https://zenodo.org/api/iiif/draft:10911935/sequence/default',\n",
       " 'files': 'https://zenodo.org/api/records/10911935/draft/files',\n",
       " 'media_files': 'https://zenodo.org/api/records/10911935/draft/media-files',\n",
       " 'archive': 'https://zenodo.org/api/records/10911935/draft/files-archive',\n",
       " 'archive_media': 'https://zenodo.org/api/records/10911935/draft/media-files-archive',\n",
       " 'record': 'https://zenodo.org/api/records/10911935',\n",
       " 'record_html': 'https://zenodo.org/records/10911935',\n",
       " 'publish': 'https://zenodo.org/api/records/10911935/draft/actions/publish',\n",
       " 'review': 'https://zenodo.org/api/records/10911935/draft/review',\n",
       " 'versions': 'https://zenodo.org/api/records/10911935/versions',\n",
       " 'access_links': 'https://zenodo.org/api/records/10911935/access/links',\n",
       " 'access_users': 'https://zenodo.org/api/records/10911935/access/users',\n",
       " 'access_request': 'https://zenodo.org/api/records/10911935/access/request',\n",
       " 'access': 'https://zenodo.org/api/records/10911935/access',\n",
       " 'reserve_doi': 'https://zenodo.org/api/records/10911935/draft/pids/doi',\n",
       " 'communities': 'https://zenodo.org/api/records/10911935/communities',\n",
       " 'communities-suggestions': 'https://zenodo.org/api/records/10911935/communities-suggestions',\n",
       " 'requests': 'https://zenodo.org/api/records/10911935/requests'}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drf.links"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drf.files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://zenodo.org/api/records/10911935/draft'"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drf.links['self']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unexpected exception formatting exception. Falling back to standard exception\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/urllib3/connection.py\", line 203, in _new_conn\n",
      "    sock = connection.create_connection(\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/urllib3/util/connection.py\", line 60, in create_connection\n",
      "    for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):\n",
      "  File \"/usr/lib/python3.8/socket.py\", line 918, in getaddrinfo\n",
      "    for res in _socket.getaddrinfo(host, port, family, type, proto, flags):\n",
      "socket.gaierror: [Errno -2] Name or service not known\n",
      "\n",
      "The above exception was the direct cause of the following exception:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/urllib3/connectionpool.py\", line 790, in urlopen\n",
      "    response = self._make_request(\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/urllib3/connectionpool.py\", line 491, in _make_request\n",
      "    raise new_e\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/urllib3/connectionpool.py\", line 467, in _make_request\n",
      "    self._validate_conn(conn)\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/urllib3/connectionpool.py\", line 1092, in _validate_conn\n",
      "    conn.connect()\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/urllib3/connection.py\", line 611, in connect\n",
      "    self.sock = sock = self._new_conn()\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/urllib3/connection.py\", line 210, in _new_conn\n",
      "    raise NameResolutionError(self.host, self, e) from e\n",
      "urllib3.exceptions.NameResolutionError: <urllib3.connection.HTTPSConnection object at 0x7f6aa567a130>: Failed to resolve 'zenodo.orghttps' ([Errno -2] Name or service not known)\n",
      "\n",
      "The above exception was the direct cause of the following exception:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/requests/adapters.py\", line 486, in send\n",
      "    resp = conn.urlopen(\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/urllib3/connectionpool.py\", line 844, in urlopen\n",
      "    retries = retries.increment(\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/urllib3/util/retry.py\", line 515, in increment\n",
      "    raise MaxRetryError(_pool, url, reason) from reason  # type: ignore[arg-type]\n",
      "urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='zenodo.orghttps', port=443): Max retries exceeded with url: //zenodo.org/api/records/10911935/draft?access_token=fA2zvScoqZstX0vxNQ0XDPZKoNGhyNS45dXM3ex9kmfj4uywgS3ytQdo5Jar (Caused by NameResolutionError(\"<urllib3.connection.HTTPSConnection object at 0x7f6aa567a130>: Failed to resolve 'zenodo.orghttps' ([Errno -2] Name or service not known)\"))\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/IPython/core/interactiveshell.py\", line 3508, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"/tmp/ipykernel_2508861/3876216561.py\", line 1, in <module>\n",
      "    zen._get(drf.links['self'])\n",
      "  File \"/home/rolf/gh/zen/zen/invenioRDM.py\", line 171, in _get\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/requests/api.py\", line 73, in get\n",
      "    return request(\"get\", url, params=params, **kwargs)\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/requests/api.py\", line 59, in request\n",
      "    return session.request(method=method, url=url, **kwargs)\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/requests/sessions.py\", line 589, in request\n",
      "    resp = self.send(prep, **send_kwargs)\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/requests/sessions.py\", line 703, in send\n",
      "    r = adapter.send(request, **kwargs)\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/requests/adapters.py\", line 519, in send\n",
      "    raise ConnectionError(e, request=request)\n",
      "requests.exceptions.ConnectionError: HTTPSConnectionPool(host='zenodo.orghttps', port=443): Max retries exceeded with url: //zenodo.org/api/records/10911935/draft?access_token=fA2zvScoqZstX0vxNQ0XDPZKoNGhyNS45dXM3ex9kmfj4uywgS3ytQdo5Jar (Caused by NameResolutionError(\"<urllib3.connection.HTTPSConnection object at 0x7f6aa567a130>: Failed to resolve 'zenodo.orghttps' ([Errno -2] Name or service not known)\"))\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/IPython/core/interactiveshell.py\", line 2105, in showtraceback\n",
      "    stb = self.InteractiveTB.structured_traceback(\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/IPython/core/ultratb.py\", line 1396, in structured_traceback\n",
      "    return FormattedTB.structured_traceback(\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/IPython/core/ultratb.py\", line 1287, in structured_traceback\n",
      "    return VerboseTB.structured_traceback(\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/IPython/core/ultratb.py\", line 1140, in structured_traceback\n",
      "    formatted_exception = self.format_exception_as_a_whole(etype, evalue, etb, number_of_lines_of_context,\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/IPython/core/ultratb.py\", line 1055, in format_exception_as_a_whole\n",
      "    frames.append(self.format_record(record))\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/IPython/core/ultratb.py\", line 955, in format_record\n",
      "    frame_info.lines, Colors, self.has_colors, lvals\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/IPython/core/ultratb.py\", line 778, in lines\n",
      "    return self._sd.lines\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/stack_data/utils.py\", line 144, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/stack_data/core.py\", line 734, in lines\n",
      "    pieces = self.included_pieces\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/stack_data/utils.py\", line 144, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/stack_data/core.py\", line 681, in included_pieces\n",
      "    pos = scope_pieces.index(self.executing_piece)\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/stack_data/utils.py\", line 144, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/stack_data/core.py\", line 660, in executing_piece\n",
      "    return only(\n",
      "  File \"/home/rolf/.local/lib/python3.8/site-packages/executing/executing.py\", line 190, in only\n",
      "    raise NotOneValueFound('Expected one value, found 0')\n",
      "executing.executing.NotOneValueFound: Expected one value, found 0\n"
     ]
    }
   ],
   "source": [
    "zen._get(drf.links['self']).json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_list = zen._get(f'/api/records/{drf.id}/draft/files')\n",
    "file_list = file_list.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'enabled': True,\n",
       " 'links': {'self': 'https://zenodo.org/api/records/10911935/draft/files',\n",
       "  'archive': 'https://zenodo.org/api/records/10911935/draft/files-archive'},\n",
       " 'entries': [{'key': 'file3.csv',\n",
       "   'created': '2024-04-03T12:16:56.079662+00:00',\n",
       "   'updated': '2024-04-03T12:16:56.083076+00:00',\n",
       "   'status': 'pending',\n",
       "   'metadata': None,\n",
       "   'links': {'self': 'https://zenodo.org/api/records/10911935/draft/files/file3.csv',\n",
       "    'content': 'https://zenodo.org/api/records/10911935/draft/files/file3.csv/content',\n",
       "    'commit': 'https://zenodo.org/api/records/10911935/draft/files/file3.csv/commit'}},\n",
       "  {'key': 'file2.csv',\n",
       "   'created': '2024-04-03T12:15:19.975338+00:00',\n",
       "   'updated': '2024-04-03T12:15:19.980719+00:00',\n",
       "   'status': 'pending',\n",
       "   'metadata': None,\n",
       "   'links': {'self': 'https://zenodo.org/api/records/10911935/draft/files/file2.csv',\n",
       "    'content': 'https://zenodo.org/api/records/10911935/draft/files/file2.csv/content',\n",
       "    'commit': 'https://zenodo.org/api/records/10911935/draft/files/file2.csv/commit'}},\n",
       "  {'key': 'file1.csv',\n",
       "   'storage_class': 'L',\n",
       "   'checksum': 'md5:f421d3e99530f4c8173fc7ef60d4a877',\n",
       "   'size': 34308,\n",
       "   'created': '2024-04-03T12:15:19.957967+00:00',\n",
       "   'updated': '2024-04-03T12:35:55.841865+00:00',\n",
       "   'status': 'completed',\n",
       "   'metadata': {},\n",
       "   'mimetype': 'text/csv',\n",
       "   'version_id': '2ee3f5e0-3977-447b-9cb5-7dc193a748ef',\n",
       "   'file_id': '1f033996-7171-4489-bd93-ee193bd57e9a',\n",
       "   'bucket_id': 'b804750c-0ff4-483e-bf4e-922323f7c6e8',\n",
       "   'links': {'self': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv',\n",
       "    'content': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv/content',\n",
       "    'commit': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv/commit'}}],\n",
       " 'default_preview': None,\n",
       " 'order': []}"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_list = [dict(key='file1.csv'), dict(key='file2.csv')]\n",
    "files = zen._post(f'/api/records/{drf.id}/draft/files', json=file_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'enabled': True,\n",
       " 'links': {'self': 'https://zenodo.org/api/records/10911935/draft/files',\n",
       "  'archive': 'https://zenodo.org/api/records/10911935/draft/files-archive'},\n",
       " 'entries': [{'key': 'file1.csv',\n",
       "   'created': '2024-04-03T12:15:19.957967+00:00',\n",
       "   'updated': '2024-04-03T12:15:19.965952+00:00',\n",
       "   'status': 'pending',\n",
       "   'metadata': None,\n",
       "   'links': {'self': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv',\n",
       "    'content': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv/content',\n",
       "    'commit': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv/commit'}},\n",
       "  {'key': 'file2.csv',\n",
       "   'created': '2024-04-03T12:15:19.975338+00:00',\n",
       "   'updated': '2024-04-03T12:15:19.980719+00:00',\n",
       "   'status': 'pending',\n",
       "   'metadata': None,\n",
       "   'links': {'self': 'https://zenodo.org/api/records/10911935/draft/files/file2.csv',\n",
       "    'content': 'https://zenodo.org/api/records/10911935/draft/files/file2.csv/content',\n",
       "    'commit': 'https://zenodo.org/api/records/10911935/draft/files/file2.csv/commit'}}],\n",
       " 'default_preview': None,\n",
       " 'order': []}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_list = [dict(key='file3.csv')]\n",
    "files2 = zen._post(f'/api/records/{drf.id}/draft/files', json=file_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "files = files2.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'key': 'file1.csv',\n",
       " 'created': '2024-04-03T12:15:19.957967+00:00',\n",
       " 'updated': '2024-04-03T12:15:19.965952+00:00',\n",
       " 'status': 'pending',\n",
       " 'metadata': None,\n",
       " 'links': {'self': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv',\n",
       "  'content': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv/content',\n",
       "  'commit': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv/commit'}}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files['entries'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'file1.csv'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files['entries'][0]['key']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('./examples/file1.csv', 'rb') as data:\n",
    "    file = zen._put(f'/api/records/{drf.id}/draft/files/{files[\"entries\"][0][\"key\"]}/content', \n",
    "                    data=data, headers={'content-type': 'application/octet-stream'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "file = zen._post(f'/api/records/{drf.id}/draft/files/{files[\"entries\"][0][\"key\"]}/commit')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "file = file.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'key': 'file1.csv',\n",
       " 'storage_class': 'L',\n",
       " 'checksum': 'md5:f421d3e99530f4c8173fc7ef60d4a877',\n",
       " 'size': 34308,\n",
       " 'created': '2024-04-03T12:15:19.957967+00:00',\n",
       " 'updated': '2024-04-03T12:35:55.809416+00:00',\n",
       " 'status': 'completed',\n",
       " 'metadata': None,\n",
       " 'mimetype': 'text/csv',\n",
       " 'version_id': '2ee3f5e0-3977-447b-9cb5-7dc193a748ef',\n",
       " 'file_id': '1f033996-7171-4489-bd93-ee193bd57e9a',\n",
       " 'bucket_id': 'b804750c-0ff4-483e-bf4e-922323f7c6e8',\n",
       " 'links': {'self': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv',\n",
       "  'content': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv/content',\n",
       "  'commit': 'https://zenodo.org/api/records/10911935/draft/files/file1.csv/commit'}}"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sandbox\n",
    "token='r2Jg4oxa4sZQB9ikjzzp9a80Pg5dsdnIQQB1C18qM67OPaQEGKzR1quYlTi6'\n",
    "zen_sandbox = InvenioRDM('https://sandbox.zenodo.org', token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "id = '43034'\n",
    "drf = zen_sandbox.get_draft(id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drf.is_published"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'draft'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drf.data['status']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'created': '2024-04-03T10:31:22.498377+00:00',\n",
       " 'modified': '2024-04-03T10:31:22.548924+00:00',\n",
       " 'id': 43034,\n",
       " 'conceptrecid': '43033',\n",
       " 'metadata': {'access_right': 'open',\n",
       "  'relations': {'version': [{'index': 0,\n",
       "     'is_last': False,\n",
       "     'parent': {'pid_type': 'recid', 'pid_value': '43033'}}]}},\n",
       " 'title': '',\n",
       " 'links': {'self': 'https://sandbox.zenodo.org/api/records/43034/draft',\n",
       "  'self_html': 'https://sandbox.zenodo.org/uploads/43034',\n",
       "  'self_iiif_manifest': 'https://sandbox.zenodo.org/api/iiif/draft:43034/manifest',\n",
       "  'self_iiif_sequence': 'https://sandbox.zenodo.org/api/iiif/draft:43034/sequence/default',\n",
       "  'files': 'https://sandbox.zenodo.org/api/records/43034/draft/files',\n",
       "  'media_files': 'https://sandbox.zenodo.org/api/records/43034/draft/media-files',\n",
       "  'archive': 'https://sandbox.zenodo.org/api/records/43034/draft/files-archive',\n",
       "  'archive_media': 'https://sandbox.zenodo.org/api/records/43034/draft/media-files-archive',\n",
       "  'record': 'https://sandbox.zenodo.org/api/records/43034',\n",
       "  'record_html': 'https://sandbox.zenodo.org/records/43034',\n",
       "  'publish': 'https://sandbox.zenodo.org/api/records/43034/draft/actions/publish',\n",
       "  'review': 'https://sandbox.zenodo.org/api/records/43034/draft/review',\n",
       "  'versions': 'https://sandbox.zenodo.org/api/records/43034/versions',\n",
       "  'access_links': 'https://sandbox.zenodo.org/api/records/43034/access/links',\n",
       "  'access_users': 'https://sandbox.zenodo.org/api/records/43034/access/users',\n",
       "  'access_request': 'https://sandbox.zenodo.org/api/records/43034/access/request',\n",
       "  'access': 'https://sandbox.zenodo.org/api/records/43034/access',\n",
       "  'reserve_doi': 'https://sandbox.zenodo.org/api/records/43034/draft/pids/doi',\n",
       "  'communities': 'https://sandbox.zenodo.org/api/records/43034/communities',\n",
       "  'communities-suggestions': 'https://sandbox.zenodo.org/api/records/43034/communities-suggestions',\n",
       "  'requests': 'https://sandbox.zenodo.org/api/records/43034/requests'},\n",
       " 'updated': '2024-04-03T10:31:22.548924+00:00',\n",
       " 'recid': '43034',\n",
       " 'revision': 4,\n",
       " 'files': [],\n",
       " 'owners': [{'id': 29}],\n",
       " 'status': 'draft',\n",
       " 'state': 'unsubmitted',\n",
       " 'submitted': False}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drf.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "zen.load_or_create_draft()\n",
    "zen.load_draft()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing refactored code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zen import Zenodo\n",
    "from zen import LocalFiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "token='r2Jg4oxa4sZQB9ikjzzp9a80Pg5dsdnIQQB1C18qM67OPaQEGKzR1quYlTi6'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "zen = Zenodo(url=Zenodo.sandbox_url, token=token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Files: 2 file(s)>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "local_files = ['examples/file1.csv', 'examples/file2.csv']\n",
    "\n",
    "dataset_path = 'examples/dataset.json'\n",
    "\n",
    "ds = LocalFiles(local_files, dataset_path=dataset_path)\n",
    "ds.set_deposition(zen, create_if_not_exists=True)\n",
    "ds.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Deposition: {'id': 112399, 'title': '', 'state': 'unsubmitted'}>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.deposition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'filename': 'file1.csv',\n",
       "  'links': {'download': 'examples/file1.csv'},\n",
       "  'properties': {},\n",
       "  'filesize': 34308,\n",
       "  'filedate': '2023-11-17T17:05:10.551491'},\n",
       " {'filename': 'file2.csv',\n",
       "  'links': {'download': 'examples/file2.csv'},\n",
       "  'properties': {},\n",
       "  'filesize': 34249,\n",
       "  'filedate': '2023-11-17T17:05:10.551491'}]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Files: 2 file(s)>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "local_files = ['examples/file2.csv', 'examples/file3.csv']\n",
    "\n",
    "dataset_path = 'examples/dataset.json'\n",
    "\n",
    "ds = LocalFiles(local_files, dataset_path=dataset_path)\n",
    "ds.set_deposition(zen, create_if_not_exists=True)\n",
    "ds.save()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'filename': 'file2.csv',\n",
       "  'links': {'download': 'examples/file2.csv'},\n",
       "  'properties': {},\n",
       "  'filesize': 34249,\n",
       "  'filedate': '2023-11-17T17:05:10.551491'},\n",
       " {'filename': 'file3.csv',\n",
       "  'links': {'download': 'examples/file3.csv'},\n",
       "  'properties': {},\n",
       "  'filesize': 34182,\n",
       "  'filedate': '2023-11-17T17:05:10.551491'}]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<Deposition: {'id': 112399, 'title': '', 'state': 'unsubmitted'}>,\n",
       " <Deposition: {'id': 112397, 'title': '', 'state': 'unsubmitted'}>,\n",
       " <Deposition: {'id': 112377, 'title': '', 'state': 'unsubmitted'}>,\n",
       " <Deposition: {'id': 43034, 'title': '', 'state': 'unsubmitted'}>,\n",
       " <Deposition: {'id': 31944, 'title': '', 'state': 'unsubmitted'}>,\n",
       " <Deposition: {'id': 314, 'title': 'Example dataset', 'state': 'unsubmitted'}>,\n",
       " <Deposition: {'id': 51, 'title': 'My first dataset', 'state': 'unsubmitted'}>]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zen.depositions.list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Invalid deposition assignment. The saved deposition (112399) differs from the provided one (112397). Please, consider creating a new dataset.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[21], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_deposition\u001b[49m\u001b[43m(\u001b[49m\u001b[43mzen\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdeposition\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m112397\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/gh/zen/zen/dataset.py:890\u001b[0m, in \u001b[0;36mLocalFiles.set_deposition\u001b[0;34m(self, api, metadata, deposition, create_if_not_exists)\u001b[0m\n\u001b[1;32m    888\u001b[0m         saved_deposition_id \u001b[38;5;241m=\u001b[39m dataset\u001b[38;5;241m.\u001b[39mzenodo[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mid\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m    889\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m saved_deposition_id \u001b[38;5;241m!=\u001b[39m deposition\u001b[38;5;241m.\u001b[39mid:\n\u001b[0;32m--> 890\u001b[0m             \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mInvalid deposition assignment. The saved deposition \u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m\n\u001b[1;32m    891\u001b[0m                             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00msaved_deposition_id\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m) differs from the provided one \u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m\n\u001b[1;32m    892\u001b[0m                             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdeposition\u001b[38;5;241m.\u001b[39mid\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m). Please, consider creating a new dataset.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m    893\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_deposition \u001b[38;5;241m=\u001b[39m deposition\n\u001b[1;32m    894\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n",
      "\u001b[0;31mValueError\u001b[0m: Invalid deposition assignment. The saved deposition (112399) differs from the provided one (112397). Please, consider creating a new dataset."
     ]
    }
   ],
   "source": [
    "ds.set_deposition(zen, deposition=112397)"
   ]
  }
 ],
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