{"help":"Return the metadata of a dataset (package) and its resources. :param id: the id or name of the dataset :type id: string","success":true,"result":[{"id":"e626db20-12b6-4667-b7a1-2141cec026f1","name":"low-cost-uas-platforms-quantify-and-predict-post-fire-recovery-arid-shrublands","title":"Low-cost UAS platforms to quantify and predict post-fire recovery in arid shrublands","author":"Andrii Zaiats and T. Trevor Caughlin","author_email":"trevorcaughlin@boisestate.edu","maintainer":"RCDS Data Repository","maintainer_email":"rcds-web@uidaho.edu","license_title":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","notes":"\u003Cp\u003EThe data incorporate the geospatial information associated with the project, including 10 different wildfire sites in south-western Idaho, USA burnt between 1996-2015 (Welty and Jeffries 2020). Each wildfire site is approximately 2ha in area, located at the intersection of the wildfire line, spanning the burnt and unburnt parts of the landscape. The data includes four parts: (i) wildfire lines within each site digitized using GoogleEarth historic imagery; (ii) the locations of 723 points for 25 m2 plot centroids, randomly distributed within each site; (iii) individual plant geolocations for \u0026gt;23,000 observations mapped on the landscape with ~3 cm accuracy, including plant functional group, species, and size category; and UAS raster products including digital terrain models (DTM) and canopy height models (CHM).\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EData reuse\u003C\/strong\u003E\u003Cbr \/\u003E\n\u003Cem\u003ELicense\u003C\/em\u003E:\u003Cbr \/\u003E\nCreative Commons Attribution International 4.0 (\u003Ca href=\u0022https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode\u0022\u003ECC-BY 4.0\u003C\/a\u003E)\u003Cbr \/\u003E\n\u003Cem\u003ERecommended Citation\u003C\/em\u003E:\u003Cbr \/\u003E\nZaiats A and Caughlin TT. 2023 Low-cost UAS platforms to quantify and predict post-fire recovery in arid shrublands [dataset]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/96mc-a063\u0022\u003Ehttps:\/\/doi.org\/10.7923\/96mc-a063\u003C\/a\u003E\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EAncillary Data and Workflows\u003C\/strong\u003E\u003Cbr \/\u003E\nDTM and CHM data products were derived from the following data sets which contain raw UAS imagery files, digital elevation models (DEM), point cloud products; and UAS flight summaries:\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003ERoser A, Marie V, Olsoy P, Delparte D, Caughlin TT. 2022. Unoccupied aerial systems imagery from Duncan Saddle Idaho (Version 1.0) [Data set]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/S6Q0-1V41\u0022\u003Ehttps:\/\/doi.org\/10.7923\/S6Q0-1V41\u003C\/a\u003E\u003C\/li\u003E\n\u003Cli\u003EMarie V, Zaiats A, Roser A, Olsoy P, Delparte D, Wickersham R, Caughlin TT. 2023. Digital aerial imagery (RGB and multispectral) from the 2010-SOUTH TRAIL wildfire boundary near Hammett Idaho USA-2022 [Data set]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/5JCE-YE15\u0022\u003Ehttps:\/\/doi.org\/10.7923\/5JCE-YE15\u003C\/a\u003E\u003C\/li\u003E\n\u003Cli\u003EMarie V, Zaiats A, Roser A, Olsoy P, Delparte D, Wickersham R, Caughlin TT. 2023. Digital aerial imagery (RGB and multispectral) from the 2013-PONY COMPLEX wildfire boundary near Mountain Home Idaho USA-2022 [Data set]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/AEZG-KD35\u0022\u003Ehttps:\/\/doi.org\/10.7923\/AEZG-KD35\u003C\/a\u003E\u003C\/li\u003E\n\u003Cli\u003EMarie V, Zaiats A, Roser A, Olsoy P, Delparte D, Wickersham R, Caughlin TT. 2023. Digital aerial imagery (RGB and multispectral) from the 2015-SODA wildfire boundary near the Oregon\/Idaho border USA-2022 [Data set]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/59M8-5S68\u0022\u003Ehttps:\/\/doi.org\/10.7923\/59M8-5S68\u003C\/a\u003E\u003C\/li\u003E\n\u003Cli\u003EMarie V, Zaiats A, Roser A, Olsoy P, Delparte D, Wickersham R, Caughlin TT. 2023. Digital aerial imagery (RGB and multispectral) from the 1991-BF3 wildfire boundary near Corrals Trailhead Boise Idaho USA-2022 [Data set]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/NFW8-6V95\u0022\u003Ehttps:\/\/doi.org\/10.7923\/NFW8-6V95\u003C\/a\u003E\u003C\/li\u003E\n\u003Cli\u003EMarie V, Zaiats A, Roser A, Olsoy P, Delparte D, Wickersham R, Caughlin TT. 2023. Digital aerial imagery (RGB and multispectral) from the 2007-COLD wildfire boundary near Glenns Ferry Idaho USA-2022 [Data set]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/RAGG-TV25\u0022\u003Ehttps:\/\/doi.org\/10.7923\/RAGG-TV25\u003C\/a\u003E\u003C\/li\u003E\n\u003Cli\u003EMarie V, Zaiats A, Roser A, Olsoy P, Delparte D, Wickersham R, Caughlin TT. 2023. Digital aerial imagery (RGB and multispectral) from the 1996-COYOTE BUTTE wildfire boundary near Initial Point Kuna Idaho USA-2022 [Data set]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/QXAV-S561\u0022\u003Ehttps:\/\/doi.org\/10.7923\/QXAV-S561\u003C\/a\u003E\u003C\/li\u003E\n\u003Cli\u003EMarie V, Zaiats A, Roser A, Olsoy P, Delparte D, Wickersham R, Caughlin TT. 2023. Digital aerial imagery (RGB and multispectral) from the 2005-NORTH HAM wildfire boundary near Hammett Idaho USA-2022 [Data set]. University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/2Q8W-SN16\u0022\u003Ehttps:\/\/doi.org\/10.7923\/2Q8W-SN16\u003C\/a\u003E\u003C\/li\u003E\n\u003Cli\u003EWelty JL, Jeffries MI. 2020. Combined wildfire datasets for the United States and certain territories, 1878-2019. U.S. Geological Survey data release. \u003Ca href=\u0022https:\/\/doi.org\/10.5066\/P9Z2VVRT\u0022\u003Ehttps:\/\/doi.org\/10.5066\/P9Z2VVRT\u003C\/a\u003E\u003C\/li\u003E\n\u003C\/ul\u003E\n\u003Cp\u003EData processing workflows to create these products include R markdown scripts from release \u003Ca href=\u0022https:\/\/github.com\/andriizayac\/uas_data_preprocess\/releases\/tag\/v1.0.0\u0022\u003Eversion 1.0.0\u003C\/a\u003E of the \u003Ca href=\u0022https:\/\/github.com\/andriizayac\/uas_data_preprocess\u0022\u003Euas_data_preprocess\u003C\/a\u003E GitHub repository and parameter tables included within this dataset; as well as previously published workflow documentation:\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EMarie V, Zaiats A, Wickersham R, Caughlin TT. 2023. Open Drone Map: Structure-from-Motion Workflow (Version 1.0). University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/92HF-GP09\u0022\u003Ehttps:\/\/doi.org\/10.7923\/92HF-GP09\u003C\/a\u003E\u003C\/li\u003E\n\u003Cli\u003ERoser A, Marie V, Olsoy P, Delparte D, Caughlin TT. 2022. Agisoft Structure-from-motion Protocols (Version 1.0). University of Idaho. \u003Ca href=\u0022https:\/\/doi.org\/10.7923\/AGPV-0C43\u0022\u003Ehttps:\/\/doi.org\/10.7923\/AGPV-0C43\u003C\/a\u003E\u003C\/li\u003E\n\u003C\/ul\u003E\n\u003Cp\u003E\u003Cstrong\u003EFunding\u003C\/strong\u003E\u003Cbr \/\u003E\nJoint Fire Science Program, Graduate Research Innovation Program:  21-1-01-43\u003C\/p\u003E\n","url":"https:\/\/data.nkn.uidaho.edu\/dataset\/low-cost-uas-platforms-quantify-and-predict-post-fire-recovery-arid-shrublands","state":"Active","log_message":"Edited by awchild.","private":true,"revision_timestamp":"Mon, 07\/08\/2024 - 12:57","metadata_created":"Wed, 12\/21\/2022 - 14:24","metadata_modified":"Mon, 07\/08\/2024 - 12:57","creator_user_id":"6cc16f2c-77c2-4d12-ac06-56bbb86b535b","type":"Dataset","resources":[{"id":"635cb1b0-9378-4a7e-9b7c-b4ff3df4b297","revision_id":"","url":"https:\/\/www.northwestknowledge.net\/data\/e626db20-12b6-4667-b7a1-2141cec026f1\/readme.txt","description":"","format":"txt","state":"Active","revision_timestamp":"Thu, 11\/02\/2023 - 12:12","name":"Metadata Access | Low-cost UAS platforms to quantify and predict post-fire recovery in arid shrublands (txt)","mimetype":"txt","size":"","created":"Wed, 12\/21\/2022 - 15:19","resource_group_id":"bff301ea-b742-427b-954e-e6a326c2ea45","last_modified":"Date changed  Thu, 11\/02\/2023 - 12:12"},{"id":"314eebe0-0e5d-4aa7-a5ec-9a8937f51231","revision_id":"","url":"https:\/\/www.northwestknowledge.net\/data\/e626db20-12b6-4667-b7a1-2141cec026f1\/96mc-a063.xml","description":"","format":"xml","state":"Active","revision_timestamp":"Thu, 11\/02\/2023 - 12:14","name":"Metadata Access | Low-cost UAS platforms to quantify and predict post-fire recovery in arid shrublands (DataCite XML)","mimetype":"xml","size":"","created":"Thu, 11\/02\/2023 - 12:14","resource_group_id":"bff301ea-b742-427b-954e-e6a326c2ea45","last_modified":"Date changed  Thu, 11\/02\/2023 - 12:14"},{"id":"1914e4ae-e16e-4021-a30d-567fbdbbcf7e","revision_id":"","url":"https:\/\/www.northwestknowledge.net\/data\/e626db20-12b6-4667-b7a1-2141cec026f1","description":"","format":"WAF","state":"Active","revision_timestamp":"Thu, 11\/02\/2023 - 12:15","name":"Data Access | Low-cost UAS platforms to quantify and predict post-fire recovery in arid shrublands (file explorer)","mimetype":"WAF","size":"","created":"Thu, 11\/02\/2023 - 12:15","resource_group_id":"bff301ea-b742-427b-954e-e6a326c2ea45","last_modified":"Date changed  Thu, 11\/02\/2023 - 12:15"}],"tags":[{"id":"1f5cb421-8adc-430c-bb27-a3f8283dafbd","vocabulary_id":"2","name":"UAS"},{"id":"15630280-92f9-415b-967a-1a7440d4fd2f","vocabulary_id":"2","name":"unoccupied aerial systems (UAS)"},{"id":"0b3fae08-7bf8-4e8a-a8e2-33f4d1c2364d","vocabulary_id":"2","name":"wildfire"},{"id":"a0fe1b98-9ec5-4414-b4ff-c0c424914b20","vocabulary_id":"2","name":"post-fire recovery"},{"id":"0966fb9b-e86a-4836-8780-9290b62c5add","vocabulary_id":"2","name":"arid"},{"id":"c47df684-1bbb-4824-a1a7-ac8005cbc0b6","vocabulary_id":"2","name":"shrublands"},{"id":"a47fa343-9cd5-4dc2-8f94-1dff61514819","vocabulary_id":"2","name":"Canopy Height Model (CHM)"},{"id":"37f1e0ee-eb78-4c32-ace3-a2329de6ac0b","vocabulary_id":"2","name":"Digital Terrain Model (DTM)"}],"groups":[{"description":"\u003Cp\u003EBoise State University is a Carnegie-classified doctoral research university and our students have opportunities to work with talented and accomplished faculty on research, even as undergraduates.  Our students go into the workforce better prepared, with expertise outside of their major by taking advantage of opportunities such as certificates in business anthropology, entrepreneurship, or cybersecurity.  \u003C\/p\u003E\n\u003Cp\u003ELearn more at \u003Ca href=\u0022https:\/\/www.boisestate.edu\/\u0022\u003Ehttps:\/\/www.boisestate.edu\/\u003C\/a\u003E\u003C\/p\u003E\n","id":"bff301ea-b742-427b-954e-e6a326c2ea45","image_display_url":"https:\/\/data.nkn.uidaho.edu\/sites\/default\/files\/bsu_logo.jpg","title":"Boise State University","name":"group\/boise-state-university"}]}]}<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN"
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