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Update zenodo.json
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.zenodo.json

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{
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"access_right": "open",
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"creators": [{
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"affiliation": "University of Illinois",
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"name": "Scott Rohde"
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},
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{
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"name": "Carl Crott"
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},
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{
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"affiliation": "University of Arizona",
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"name": "David LeBauer"
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},
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{
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"name": "Patrick Mulrooney"
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},
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{
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"affiliation": "National Center for Supercomputing Applications",
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"name": "Rob Kooper"
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},
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{
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"name": "Jeremy Kemball"
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},
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{
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"name": "Jimmy Chen"
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},
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{
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"name": "Andrew Shirk"
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},
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{
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"name": "Zhengqi Yang"
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},
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{
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"affiliation": "National Center for Supercomputing Applications",
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"name": "Max Burnette"
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},
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{
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"name": "Haotian Jiang"
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},
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{
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"name": "Yilin Dong"
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},
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{
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"name": "Uday Saraf"
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},
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{
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"affiliation": "Boston University",
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"name": "Michael Dietze"
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},
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{
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"name": "Chris Black"
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},
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{
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"affiliation": "University of Arizona",
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"name": "Chris Schnaufer"
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}
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],
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"language": "eng",
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"license": {
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"id": "NCSA"
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},
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"references": [
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"LeBauer, D., Kooper, R., Mulrooney, P., Rohde, S., Wang, D., Long, S. P., & Dietze, M. C. (2018). BETYdb: a yield, trait, and ecosystem service database applied to second\u2010generation bioenergy feedstock production. GCB Bioenergy, 10(1), 61-71",
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"LeBauer, David, Michael Dietze, Rob Kooper, Steven Long, Patrick Mulrooney, Gareth Scott Rohde, Dan Wang (2010). Biofuel Ecophysiological Traits and Yields Database (BETYdb), Energy Biosciences Institute, University of Illinois at Urbana-Champaign. doi:10.13012/J8H41PB9"
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],
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"notes": "Development of BETYdb is supported by the National Science Foundation (ABI #1062547, ABI #1458021), the Department of Energy (ARPA-E awards #DE-AR0000594 and DE-AR0000598), and the Energy Biosciences Institute.",
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{
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"access_right":"open",
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"creators":[
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{
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"affiliation":"University of Illinois",
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"name":"Scott Rohde"
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},
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{
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"name":"Carl Crott"
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},
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{
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"affiliation":"University of Arizona",
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"name":"David LeBauer"
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},
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{
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"name":"Patrick Mulrooney"
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},
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{
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"affiliation":"National Center for Supercomputing Applications",
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"name":"Rob Kooper"
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},
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{
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"name":"Jeremy Kemball"
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},
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{
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"name":"Jimmy Chen"
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},
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{
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"name":"Andrew Shirk"
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},
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{
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"name":"Zhengqi Yang"
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},
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{
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"affiliation":"National Center for Supercomputing Applications",
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"name":"Max Burnette"
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},
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{
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"name":"Haotian Jiang"
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},
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{
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"name":"Yilin Dong"
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},
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{
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"name":"Uday Saraf"
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},
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{
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"affiliation":"Boston University",
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"name":"Michael Dietze"
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},
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{
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"name":"Chris Black"
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},
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{
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"affiliation":"University of Arizona",
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"name":"Chris Schnaufer"
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}
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],
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"language":"eng",
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"license":{
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"id":"NCSA"
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},
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"references":[
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"LeBauer, D., Kooper, R., Mulrooney, P., Rohde, S., Wang, D., Long, S. P., & Dietze, M. C. (2018). BETYdb: a yield, trait, and ecosystem service database applied to second\u2010generation bioenergy feedstock production. GCB Bioenergy, 10(1), 61-71",
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"LeBauer, David, Michael Dietze, Rob Kooper, Steven Long, Patrick Mulrooney, Gareth Scott Rohde, Dan Wang (2010). Biofuel Ecophysiological Traits and Yields Database (BETYdb), Energy Biosciences Institute, University of Illinois at Urbana-Champaign. doi:10.13012/J8H41PB9"
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],
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"notes":"Development of BETYdb is supported by the National Science Foundation (ABI #1062547, ABI #1458021), the Department of Energy (ARPA-E awards #DE-AR0000594 and DE-AR0000598), and the Energy Biosciences Institute."
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}

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