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Copy file name to clipboardExpand all lines: docs/available_parameters.rst
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Available parameters for Swarm
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==============================
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.. tip::
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Did you know? The *VirES for Swarm* service provides data not only from Swarm but also INTERMAGNET ground observatories (search below for ``AUX_OBS``), and recalibrated platform magnetometer data from selected LEO missions (search below for ``MAG_``).
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.. note::
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|`See also: Jupyter notebook about data and model availability <https://notebooks.vires.services/notebooks/02b__viresclient-available-data>`_ - check out the other demo notebooks there too.
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SW_OPER_EFIxTIE_2\_ EFI_TIE Estimates of the ion temperatures
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SW_EXPT_EFIx_TCT02 EFI_TCT02 2Hz cross-track ion flows
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SW_EXPT_EFIx_TCT16 EFI_TCT16 16Hz cross-track ion flows
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SW_PREL_EFIxIDM_2\_ EFI_IDM 2Hz ion drift velocities and effective masses (SLIDEM project)
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SW_OPER_IPDxIRR_2F IPD Ionospheric plasma characteristics (derived quantities at 1Hz)
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SW_OPER_TECxTMS_2F TEC Total electron content
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SW_OPER_FACxTMS_2F FAC Field-aligned currents (single satellite)
Each VOBS product (e.g. Swarm 1-monthly) is split into two collections (e.g. ``SW_OPER_VOBS_1M_2_`` (containing ``B_OB`` & ``B_CF``) and ``SW_OPER_VOBS_1M_2_:SecularVariation`` (containing ``B_SV``)) because of the different temporal sampling points (i.e. differing ``Timestamp``) of these measurements. Data can also be requested for a specific virtual observatory alone (distinguishable by the ``SiteCode`` variable) with special collection names like ``SW_OPER_VOBS_1M_2_:N65W051`` and ``SW_OPER_VOBS_1M_2_:SecularVariation:N65W051``.
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Calibrated magnetic data are also available from external missions: Cryosat-2, GRACE (A+B), GRACE-FO (1+2):
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Calibrated magnetic data are also available from external missions: Cryosat-2, GRACE (A+B), GRACE-FO (1+2), GOCE:
When using :py:meth:`viresclient.SwarmRequest.get_between` with small requests, change the default of `asynchronous=True` to `asynchronous=False` to process faster (no progress bar). By default, jobs are processed asynchronously (i.e. entered into a queue) which is appropriate for longer requests. You can only have two asynchronous jobs running at one time.
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.. group-tab:: Aeolus
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**Data subsetting/filtering**
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|Select data satisfying given conditions (e.g. searching a geographical range; selecting by quality flags)
When using :py:meth:`viresclient.AeolusRequest.get_between` with small requests, change the default of `asynchronous=True` to `asynchronous=False` to process faster (no progress bar). By default, jobs are processed asynchronously (i.e. entered into a queue) which is appropriate for longer requests. You can only have two asynchronous jobs running at one time.
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**Uploading data**
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|Data of certain formats can be uploaded to the server and then manipulated like existing datasets (available privately within your account)
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|See :doc:`cli` and :py:meth:`viresclient.DataUpload`
Copy file name to clipboardExpand all lines: docs/config_details.rst
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... then follow automatic instructions to configure token if not already set
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NB: URL's on this page assume using *VirES for Swarm*. If using *Aeolus* instead, replace ``https://vires.services/ows`` with ``https://aeolus.services/ows``.
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.. note::
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URL's on this page assume using *VirES for Swarm*. If using *Aeolus* instead, replace {``https://vires.services/ows`` and ``SwarmRequest``} with {``https://aeolus.services/ows`` and ``AeolusRequest``}
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While it is possible to enter the server URL and access credentials (see :doc:`access_token`) each time a new request object is created,
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