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            f 1 { f 1 {
            2   "Creator": "Creator", 2   "Creator": "Creator",
            3   "Date": "2019-08-09", 3   "Date": "2019-08-09",
            4   "IdentifierType": "DOI", 4   "IdentifierType": "DOI",
            5   "PublicationYear": "2022", 5   "PublicationYear": "2022",
            6   "Publisher": "CanWIN", 6   "Publisher": "CanWIN",
            7   "RelatedIdentifierType": "URL", 7   "RelatedIdentifierType": "URL",
            8   "RelationType": "IsSupplementTo", 8   "RelationType": "IsSupplementTo",
            9   "ResourceType": "imagery", 9   "ResourceType": "imagery",
            10   "Rights": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0  10   "Rights": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 
            11 International", 11 International",
            12   "Version": "1.0", 12   "Version": "1.0",
            13   "accessTerms": "CanWIN datasets are licensed individually, however  13   "accessTerms": "CanWIN datasets are licensed individually, however 
            14 most are licensed under the Creative Commons Attribution 4.0  14 most are licensed under the Creative Commons Attribution 4.0 
            15 International (CC BY 4.0) Public License. Details for the licence  15 International (CC BY 4.0) Public License. Details for the licence 
            16 applied can be found using the Licence URL link provided with each  16 applied can be found using the Licence URL link provided with each 
            17 dataset. \r\nBy using data and information provided on this site you  17 dataset. \r\nBy using data and information provided on this site you 
            18 accept the terms and conditions of the License. Unless otherwise  18 accept the terms and conditions of the License. Unless otherwise 
            19 specified, the license grants the rights to the public to use and  19 specified, the license grants the rights to the public to use and 
            20 share the data and results derived therefrom as long as the proper  20 share the data and results derived therefrom as long as the proper 
            21 acknowledgment is given to the data licensor (citation), that any  21 acknowledgment is given to the data licensor (citation), that any 
            22 alteration to the data is clearly indicated, and that a link to the  22 alteration to the data is clearly indicated, and that a link to the 
            23 original data and the license is made available.", 23 original data and the license is made available.",
            24   "activityCollectionType": "Field Measurement", 24   "activityCollectionType": "Field Measurement",
            25   "analyticalMethodName": "", 25   "analyticalMethodName": "",
            26   "author": null, 26   "author": null,
            27   "author_email": null, 27   "author_email": null,
            28   "campaignEndDate": "2019-08-09", 28   "campaignEndDate": "2019-08-09",
            29   "campaignStartDate": "2019-07-28", 29   "campaignStartDate": "2019-07-28",
            30   "comments": "", 30   "comments": "",
            31   "contributorName": "Chan, Wayne", 31   "contributorName": "Chan, Wayne",
            32   "contributorType": "DataCurator", 32   "contributorType": "DataCurator",
            33   "creatorName": [ 33   "creatorName": [
            34     { 34     {
            35       "author": "Harasyn, Madison", 35       "author": "Harasyn, Madison",
            36       "creatorAffiliation": "Centre for Earth Observation Science -  36       "creatorAffiliation": "Centre for Earth Observation Science - 
            37 University of Manitoba", 37 University of Manitoba",
            38       "creatorEmail": "Madison.harasyn@umanitoba.ca", 38       "creatorEmail": "Madison.harasyn@umanitoba.ca",
            39       "creatorNameIdentifier":  39       "creatorNameIdentifier": 
            40 "https://orcid.org/0000-0002-5741-6766", 40 "https://orcid.org/0000-0002-5741-6766",
            41       "nameIdentifierScheme": "ORCID", 41       "nameIdentifierScheme": "ORCID",
            42       "nameType": "Personal", 42       "nameType": "Personal",
            43       "schemeURI": "http://orcid.org/" 43       "schemeURI": "http://orcid.org/"
            44     }, 44     },
            45     { 45     {
            46       "author": "Barber, David", 46       "author": "Barber, David",
            47       "creatorAffiliation": "Centre for Earth Observation Science -  47       "creatorAffiliation": "Centre for Earth Observation Science - 
            48 University of Manitoba", 48 University of Manitoba",
            49       "creatorEmail": "david.barber@umanitoba.ca", 49       "creatorEmail": "david.barber@umanitoba.ca",
            50       "creatorNameIdentifier": "0000-0001-9466-3291", 50       "creatorNameIdentifier": "0000-0001-9466-3291",
            51       "nameIdentifierScheme": "ORCID", 51       "nameIdentifierScheme": "ORCID",
            52       "nameType": "Personal", 52       "nameType": "Personal",
            53       "schemeURI": "http://orcid.org/" 53       "schemeURI": "http://orcid.org/"
            54     } 54     }
            55   ], 55   ],
            56   "creator_user_id": "cde7b848-a882-4fc7-97c9-670417bd6b43", 56   "creator_user_id": "cde7b848-a882-4fc7-97c9-670417bd6b43",
            57   "dataCuratorAffiliation": "Centre for Earth Observation Science -  57   "dataCuratorAffiliation": "Centre for Earth Observation Science - 
            58 University of Manitoba", 58 University of Manitoba",
            59   "dataCuratorEmail": "wayne.chan@umanitoba.ca", 59   "dataCuratorEmail": "wayne.chan@umanitoba.ca",
            60   "datasetCitation": "", 60   "datasetCitation": "",
            61   "datasetLevel": "1.1", 61   "datasetLevel": "1.1",
            62   "datasetPublisher": "CanWIN", 62   "datasetPublisher": "CanWIN",
            63   "dateType": "Updated", 63   "dateType": "Updated",
            64   "descriptionType": "Abstract", 64   "descriptionType": "Abstract",
            65   "eastBoundLongitude": "-94.0706395086", 65   "eastBoundLongitude": "-94.0706395086",
            66   "embargoDate": "", 66   "embargoDate": "",
            67   "endDate": "2019-08-09", 67   "endDate": "2019-08-09",
            68   "endDateType": "Other", 68   "endDateType": "Other",
            69   "frequency": "Not planned", 69   "frequency": "Not planned",
            70   "funderIdentifierType": "", 70   "funderIdentifierType": "",
            71   "funderName": "", 71   "funderName": "",
            72   "funderSchemeURI": "", 72   "funderSchemeURI": "",
            73   "groups": [ 73   "groups": [
            74     { 74     {
            n 75       "description": "Features and characteristics of salt water  n 75       "description": "Inland water features, drainage systems and 
            76 bodies.\r\n\r\nIn CEOS, related research themes include  76 their characteristics. Examples of data you can find here include 
            77 biogeochemistry, modelling, marine mammals, oil spill response,  77 river and lake data, water quality data. \r\n\r\nIn CEOS, related 
            78 physical oceanography, remote sensing and technology and trace metals  78 research themes include biogeochemistry, Inland lakes and waters, 
            79 modelling, remote sensing and technology, trace metals and 
            79 and contaminants", 80 contaminants.",
            80       "display_name": "Marine", 81       "display_name": "Freshwater",
            81       "id": "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", 82       "id": "8f8cd877-b037-4b1a-b928-f86d9e093741",
            82       "image_display_url":  83       "image_display_url": 
            n 83 ata/uploads/group/2021-10-31-211516.365746ofinspireoceanographic.svg", n 84 /data/uploads/group/2021-10-31-211937.658599hyinspirehydrography.svg",
            84       "name": "marine", 85       "name": "freshwater",
            85       "title": "Marine" 86       "title": "Freshwater"
            86     } 87     }
            87   ], 88   ],
            88   "id": "b5f259b4-3ace-4750-bfb0-47c4e794082f", 89   "id": "b5f259b4-3ace-4750-bfb0-47c4e794082f",
            89   "isopen": false, 90   "isopen": false,
            90   "keywords": "AERIAL PHOTOGRAPHS,Beluga,Churchill estuary,Unmanned  91   "keywords": "AERIAL PHOTOGRAPHS,Beluga,Churchill estuary,Unmanned 
            91 Aerial Vehicle,boat,kayak,video", 92 Aerial Vehicle,boat,kayak,video",
            92   "kvSchemeURI":  93   "kvSchemeURI": 
            93 "https://www.polardata.ca/pdcinput/public/keywordlibrary ;   94 "https://www.polardata.ca/pdcinput/public/keywordlibrary ;  
            94 ps://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all?gtm_scheme=all", 95 ps://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all?gtm_scheme=all",
            95   "laboratory": "CEOS", 96   "laboratory": "CEOS",
            96   "licenceShemeURI": "https://spdx.org/licenses", 97   "licenceShemeURI": "https://spdx.org/licenses",
            97   "licenceType": "Open", 98   "licenceType": "Open",
            98   "license_id": null, 99   "license_id": null,
            99   "license_title": null, 100   "license_title": null,
            100   "maintainer": null, 101   "maintainer": null,
            101   "maintainer_email": null, 102   "maintainer_email": null,
            102   "metadata_created": "2022-02-04T19:17:36.940301", 103   "metadata_created": "2022-02-04T19:17:36.940301",
            t 103   "metadata_modified": "2022-03-24T15:30:46.629633", t 104   "metadata_modified": "2022-03-24T15:31:54.248000",
            104   "methodCitation": "", 105   "methodCitation": "",
            105   "methodDescrioption": "", 106   "methodDescrioption": "",
            106   "methodDescriptionType": "Methods", 107   "methodDescriptionType": "Methods",
            107   "methodLink": "", 108   "methodLink": "",
            108   "methodSummary": "", 109   "methodSummary": "",
            109   "methodUrl": "", 110   "methodUrl": "",
            110   "name": "churchill-beluga-boat-drone-imagery", 111   "name": "churchill-beluga-boat-drone-imagery",
            111   "northBoundLatitude": "58.8195795207", 112   "northBoundLatitude": "58.8195795207",
            112   "notes": "Aerial imagery surveys are commonly used in marine mammal  113   "notes": "Aerial imagery surveys are commonly used in marine mammal 
            113 research to determine population size, habitat distribution and  114 research to determine population size, habitat distribution and 
            114 habitat use. Analysis of aerial photos involves hours of manually  115 habitat use. Analysis of aerial photos involves hours of manually 
            115 identifying individuals present in each image and converting raw  116 identifying individuals present in each image and converting raw 
            116 counts into useable biological statistics. Our research proposes the  117 counts into useable biological statistics. Our research proposes the 
            117 use of deep learning algorithms as an assistive technology to increase  118 use of deep learning algorithms as an assistive technology to increase 
            118 the efficiency of the marine mammal research workflow. To test the  119 the efficiency of the marine mammal research workflow. To test the 
            119 feasibility of this proposal, the existing YOLOv4 convolutional neural  120 feasibility of this proposal, the existing YOLOv4 convolutional neural 
            120 network model was trained to detect belugas, kayaks and motorized  121 network model was trained to detect belugas, kayaks and motorized 
            121 boats in unmanned aerial vehicle (UAV) imagery. Computer-based object  122 boats in unmanned aerial vehicle (UAV) imagery. Computer-based object 
            122 detection achieved an average precision of 61.17% for belugas, 98.58%  123 detection achieved an average precision of 61.17% for belugas, 98.58% 
            123 for boats, and 95.97% for kayaks. We then tested the performance of  124 for boats, and 95.97% for kayaks. We then tested the performance of 
            124 computer vision tracking of belugas and manned watercraft in UAV  125 computer vision tracking of belugas and manned watercraft in UAV 
            125 videos using the DeepSORT tracking algorithm, achieving a multiple  126 videos using the DeepSORT tracking algorithm, achieving a multiple 
            126 object tracking accuracy (MOTA) ranging from 37% \u2013 88% and  127 object tracking accuracy (MOTA) ranging from 37% \u2013 88% and 
            127 multiple object tracking precision (MOTP) between 63% \u2013 86%.  128 multiple object tracking precision (MOTP) between 63% \u2013 86%. 
            128 Results from this research indicate that deep learning technology can  129 Results from this research indicate that deep learning technology can 
            129 perform at a similar caliber as human annotators in beluga and  130 perform at a similar caliber as human annotators in beluga and 
            130 watercraft detection and tracking, allowing for larger datasets to be  131 watercraft detection and tracking, allowing for larger datasets to be 
            131 processed within a fraction of the time. ", 132 processed within a fraction of the time. ",
            132   "num_resources": 16, 133   "num_resources": 16,
            133   "num_tags": 7, 134   "num_tags": 7,
            134   "organization": { 135   "organization": {
            135     "approval_status": "approved", 136     "approval_status": "approved",
            136     "created": "2017-07-21T13:15:49.935872", 137     "created": "2017-07-21T13:15:49.935872",
            137     "description": "The Centre for Earth Observation Science (CEOS)  138     "description": "The Centre for Earth Observation Science (CEOS) 
            138 was established in 1994 with a mandate to research, preserve and  139 was established in 1994 with a mandate to research, preserve and 
            139 communicate knowledge of Earth system processes using the technologies  140 communicate knowledge of Earth system processes using the technologies 
            140 of Earth Observation Science. Research is multidisciplinary and  141 of Earth Observation Science. Research is multidisciplinary and 
            141 collaborative seeking to understand the complex interrelationships  142 collaborative seeking to understand the complex interrelationships 
            142 between elements of Earth systems, and how these systems will likely  143 between elements of Earth systems, and how these systems will likely 
            143 respond to climate change. Although researchers have worked in many  144 respond to climate change. Although researchers have worked in many 
            144 regions, the Arctic marine system has always been a unifying focus of  145 regions, the Arctic marine system has always been a unifying focus of 
            145 activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate  146 activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate 
            146 Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre  147 Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre 
            147 (ARC, Aarhus, Denmark) established the Arctic Science Partnership,  148 (ARC, Aarhus, Denmark) established the Arctic Science Partnership, 
            148 thereby integrating academic and research initiatives.\r\n\r\nAreas of  149 thereby integrating academic and research initiatives.\r\n\r\nAreas of 
            149 existing research activity are divided among key themes:\r\n\r\nArctic  150 existing research activity are divided among key themes:\r\n\r\nArctic 
            150 Anthropology/Paleoclimatology: LiDAR scanning and digital site  151 Anthropology/Paleoclimatology: LiDAR scanning and digital site 
            151 preservation, archaeo-geophysics, permafrost degredation, lithic  152 preservation, archaeo-geophysics, permafrost degredation, lithic 
            152 morphometrics, zooarchaeology, proxy studies, paleodistribution of sea  153 morphometrics, zooarchaeology, proxy studies, paleodistribution of sea 
            153 ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture,  154 ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, 
            154 ethnographic analogy, traditional knowledge, climate change and  155 ethnographic analogy, traditional knowledge, climate change and 
            155 northern heritage resource management.\r\n\r\nAtmospheric  156 northern heritage resource management.\r\n\r\nAtmospheric 
            156 Studies/Meteorology: Boundary layer, precipitation, clouds, storms and  157 Studies/Meteorology: Boundary layer, precipitation, clouds, storms and 
            157 extreme weather, circulation, eddy correlations, polar vortex,  158 extreme weather, circulation, eddy correlations, polar vortex, 
            158 climate, teleconnections, geophysical fluid dynamics, flux and energy  159 climate, teleconnections, geophysical fluid dynamics, flux and energy 
            159 budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice  160 budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice 
            160 albedo feedback, cloud radiative forcing, pCO2.  161 albedo feedback, cloud radiative forcing, pCO2. 
            161 \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles,  162 \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, 
            162 Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace  163 Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace 
            163 metals, minerals, hydrocarbons, brine processes, otolith  164 metals, minerals, hydrocarbons, brine processes, otolith 
            164 microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury,  165 microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, 
            165 trace metals, PAHs, source, transport, transformation, pathways,  166 trace metals, PAHs, source, transport, transformation, pathways, 
            166 bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth  167 bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth 
            167 Observation Science: Active and passive microwave, LiDAR, EM  168 Observation Science: Active and passive microwave, LiDAR, EM 
            168 induction, spatial-temporal analysis, forward and inverse scattering  169 induction, spatial-temporal analysis, forward and inverse scattering 
            169 models, complex permittivity, ocean colour, ocean surface roughness,  170 models, complex permittivity, ocean colour, ocean surface roughness, 
            170 NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology:  171 NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: 
            171 Biophysical processes, primary production; ice algae, ice  172 Biophysical processes, primary production; ice algae, ice 
            172 microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland  173 microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland 
            173 Lakes and Waters: Hydrologic connectivity, watershed systems, sediment  174 Lakes and Waters: Hydrologic connectivity, watershed systems, sediment 
            174 transport, nutrient transport, contaminants, landscape processes,  175 transport, nutrient transport, contaminants, landscape processes, 
            175 remote sensing, freshwater-marine coupling. Marine Mammals: Seals,  176 remote sensing, freshwater-marine coupling. Marine Mammals: Seals, 
            176 whales, habitat, conservation, satellite telemetry, distribution,  177 whales, habitat, conservation, satellite telemetry, distribution, 
            177 population studies, prey behaviour, bioacoustics.\r\n\r\nModelling:  178 population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: 
            178 Simulation of sea ice and oceanic regional processes, Nucleus for  179 Simulation of sea ice and oceanic regional processes, Nucleus for 
            179 European Modelling of the Ocean (NEMO), ice-ocean modelling and  180 European Modelling of the Ocean (NEMO), ice-ocean modelling and 
            180 interactions, hind cast simulations and projections for sea ice state  181 interactions, hind cast simulations and projections for sea ice state 
            181 and ocean variables based on CMIP5 scenarios and MIROC5 forcing,  182 and ocean variables based on CMIP5 scenarios and MIROC5 forcing, 
            182 validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and  183 validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and 
            183 out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy  184 out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy 
            184 correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic  185 correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic 
            185 processes, extreme ice features and hazards, snow, ridges,  186 processes, extreme ice features and hazards, snow, ridges, 
            186 polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures,  187 polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, 
            187 Inuit, Inuvialuit, oral history, toponomy, mobility and settlement,  188 Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, 
            188 hunting, food security, sea ice use, community-based research,  189 hunting, food security, sea ice use, community-based research, 
            189 community-based monitoring, two ways of knowing.", 190 community-based monitoring, two ways of knowing.",
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            588       "metadata_modified": "2022-02-09T19:57:51.743935", 589       "metadata_modified": "2022-02-09T19:57:51.743935",
            589       "mimetype": "video/mp4", 590       "mimetype": "video/mp4",
            590       "mimetype_inner": null, 591       "mimetype_inner": null,
            591       "name": "Churchill Beluga Boat Study drone video 2019 - 8", 592       "name": "Churchill Beluga Boat Study drone video 2019 - 8",
            592       "package_id": "b5f259b4-3ace-4750-bfb0-47c4e794082f", 593       "package_id": "b5f259b4-3ace-4750-bfb0-47c4e794082f",
            593       "position": 14, 594       "position": 14,
            594       "resCategory": "raw_data", 595       "resCategory": "raw_data",
            595       "resource_type": null, 596       "resource_type": null,
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            597       "state": "active", 598       "state": "active",
            598       "url":  599       "url": 
            599 .ad.umanitoba.ca/erddap/files/Drone_Data_588f_21fe_8ff6/beluga11.mp4", 600 .ad.umanitoba.ca/erddap/files/Drone_Data_588f_21fe_8ff6/beluga11.mp4",
            600       "url_type": null 601       "url_type": null
            601     }, 602     },
            602     { 603     {
            603       "cache_last_updated": null, 604       "cache_last_updated": null,
            604       "cache_url": null, 605       "cache_url": null,
            605       "created": "2022-02-09T19:57:51.773988", 606       "created": "2022-02-09T19:57:51.773988",
            606       "datastore_active": false, 607       "datastore_active": false,
            607       "datastore_contains_all_records_of_source_file": false, 608       "datastore_contains_all_records_of_source_file": false,
            608       "description": "CANWIN metadata templates are filled out for  609       "description": "CANWIN metadata templates are filled out for 
            609 instruments, deployments, datasets, and projects. This template is for  610 instruments, deployments, datasets, and projects. This template is for 
            610 UAV (unmanned aerial vehicle) videos and photos collected during the  611 UAV (unmanned aerial vehicle) videos and photos collected during the 
            611 2019 field season over the Churchill Estuary.", 612 2019 field season over the Churchill Estuary.",
            612       "format": "DOCX", 613       "format": "DOCX",
            613       "hash": "", 614       "hash": "",
            614       "id": "e07866e4-6be1-4720-94f1-5cd27e056e05", 615       "id": "e07866e4-6be1-4720-94f1-5cd27e056e05",
            615       "last_modified": "2022-02-09T19:57:51.663259", 616       "last_modified": "2022-02-09T19:57:51.663259",
            616       "metadata_modified": "2022-02-10T16:11:27.431362", 617       "metadata_modified": "2022-02-10T16:11:27.431362",
            617       "mimetype": null, 618       "mimetype": null,
            618       "mimetype_inner": null, 619       "mimetype_inner": null,
            619       "name": "CANWIN Project Metadata - 2019 Churchill UAV Data", 620       "name": "CANWIN Project Metadata - 2019 Churchill UAV Data",
            620       "package_id": "b5f259b4-3ace-4750-bfb0-47c4e794082f", 621       "package_id": "b5f259b4-3ace-4750-bfb0-47c4e794082f",
            621       "position": 15, 622       "position": 15,
            622       "resCategory": "supplemental", 623       "resCategory": "supplemental",
            623       "resource_type": null, 624       "resource_type": null,
            624       "size": 29221, 625       "size": 29221,
            625       "state": "active", 626       "state": "active",
            626       "url":  627       "url": 
            627 /download/canwin_project_metadata_template2019churchill_harasyn.docx", 628 /download/canwin_project_metadata_template2019churchill_harasyn.docx",
            628       "url_type": "upload" 629       "url_type": "upload"
            629     } 630     }
            630   ], 631   ],
            631   "rightsIdentifier": "CC-BY-NC-SA-4.0", 632   "rightsIdentifier": "CC-BY-NC-SA-4.0",
            632   "rightsIdentifierScheme": "SPDX", 633   "rightsIdentifierScheme": "SPDX",
            633   "rightsURI": "https://spdx.org/licenses/CC-BY-NC-SA-4.0.html", 634   "rightsURI": "https://spdx.org/licenses/CC-BY-NC-SA-4.0.html",
            634   "southBoundLatitude": "58.6686784698", 635   "southBoundLatitude": "58.6686784698",
            635   "spatial":  636   "spatial": 
            636 59],[-93.7822780979,58.9622307704],[-93.7839520373,58.5448288885]]]}", 637 59],[-93.7822780979,58.9622307704],[-93.7839520373,58.5448288885]]]}",
            637   "spatial_regions": "churchill", 638   "spatial_regions": "churchill",
            638   "startDate": "2019-07-28", 639   "startDate": "2019-07-28",
            639   "startDateType": "Collected", 640   "startDateType": "Collected",
            640   "state": "active", 641   "state": "active",
            641   "status": "Complete", 642   "status": "Complete",
            642   "subjectScheme": "Polar Data Catalogue,Global Change Master  643   "subjectScheme": "Polar Data Catalogue,Global Change Master 
            643 Directory", 644 Directory",
            644   "tags": [ 645   "tags": [
            645     { 646     {
            646       "display_name": "AERIAL PHOTOGRAPHS", 647       "display_name": "AERIAL PHOTOGRAPHS",
            647       "id": "bafe04c6-e938-4966-a4ab-a8ce5f1b7d04", 648       "id": "bafe04c6-e938-4966-a4ab-a8ce5f1b7d04",
            648       "name": "AERIAL PHOTOGRAPHS", 649       "name": "AERIAL PHOTOGRAPHS",
            649       "state": "active", 650       "state": "active",
            650       "vocabulary_id": null 651       "vocabulary_id": null
            651     }, 652     },
            652     { 653     {
            653       "display_name": "Beluga", 654       "display_name": "Beluga",
            654       "id": "a9f25a89-b0ef-4d4d-993d-73f28e0d702a", 655       "id": "a9f25a89-b0ef-4d4d-993d-73f28e0d702a",
            655       "name": "Beluga", 656       "name": "Beluga",
            656       "state": "active", 657       "state": "active",
            657       "vocabulary_id": null 658       "vocabulary_id": null
            658     }, 659     },
            659     { 660     {
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            661       "id": "f7d7cb9f-46ae-42af-8055-6ae5b8029c7a", 662       "id": "f7d7cb9f-46ae-42af-8055-6ae5b8029c7a",
            662       "name": "Churchill estuary", 663       "name": "Churchill estuary",
            663       "state": "active", 664       "state": "active",
            664       "vocabulary_id": null 665       "vocabulary_id": null
            665     }, 666     },
            666     { 667     {
            667       "display_name": "Unmanned Aerial Vehicle", 668       "display_name": "Unmanned Aerial Vehicle",
            668       "id": "a6dc9001-e6da-4a84-bfec-2941d3ebce78", 669       "id": "a6dc9001-e6da-4a84-bfec-2941d3ebce78",
            669       "name": "Unmanned Aerial Vehicle", 670       "name": "Unmanned Aerial Vehicle",
            670       "state": "active", 671       "state": "active",
            671       "vocabulary_id": null 672       "vocabulary_id": null
            672     }, 673     },
            673     { 674     {
            674       "display_name": "boat", 675       "display_name": "boat",
            675       "id": "b51f6a38-77f6-4e99-b83e-721cd7a05470", 676       "id": "b51f6a38-77f6-4e99-b83e-721cd7a05470",
            676       "name": "boat", 677       "name": "boat",
            677       "state": "active", 678       "state": "active",
            678       "vocabulary_id": null 679       "vocabulary_id": null
            679     }, 680     },
            680     { 681     {
            681       "display_name": "kayak", 682       "display_name": "kayak",
            682       "id": "8383485f-fb93-42fd-a624-cb309b35ea78", 683       "id": "8383485f-fb93-42fd-a624-cb309b35ea78",
            683       "name": "kayak", 684       "name": "kayak",
            684       "state": "active", 685       "state": "active",
            685       "vocabulary_id": null 686       "vocabulary_id": null
            686     }, 687     },
            687     { 688     {
            688       "display_name": "video", 689       "display_name": "video",
            689       "id": "2d1f3515-7c95-4d63-9ce8-829079ad26e9", 690       "id": "2d1f3515-7c95-4d63-9ce8-829079ad26e9",
            690       "name": "video", 691       "name": "video",
            691       "state": "active", 692       "state": "active",
            692       "vocabulary_id": null 693       "vocabulary_id": null
            693     } 694     }
            694   ], 695   ],
            695   "theme": [ 696   "theme": [
            696     "8f8cd877-b037-4b1a-b928-f86d9e093741", 697     "8f8cd877-b037-4b1a-b928-f86d9e093741",
            697     "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", 698     "98238b1c-5be8-41ad-8c6e-74cdc4f5f369",
            698     "3ec49cbb-4da6-4fe8-8d54-5b6ce03b49d9" 699     "3ec49cbb-4da6-4fe8-8d54-5b6ce03b49d9"
            699   ], 700   ],
            700   "title": "Churchill Beluga Boat Drone Imagery", 701   "title": "Churchill Beluga Boat Drone Imagery",
            701   "titleType": "Alternative Title", 702   "titleType": "Alternative Title",
            702   "type": "dataset", 703   "type": "dataset",
            703   "url": null, 704   "url": null,
            704   "useTerms": "By accessing this data you agree to [CanWIN's Terms of  705   "useTerms": "By accessing this data you agree to [CanWIN's Terms of 
            705 anwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).", 706 anwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).",
            706   "variablesMeasured": "", 707   "variablesMeasured": "",
            707   "version": null, 708   "version": null,
            708   "westBoundLongitude": "-94.3257662171" 709   "westBoundLongitude": "-94.3257662171"
            709 } 710 }