Changes
On February 27, 2022 at 1:35:12 PM CST, Claire Herbert:
-
Deleted resource One Beluga, Two Beluga, Three Beluga, Four: How to Count Belugas When You Run Out of Fingers and Toes from Churchill Beluga Boat Drone Imagery
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": "", | 50 | "creatorNameIdentifier": "", | ||
51 | "nameType": "Personal" | 51 | "nameType": "Personal" | ||
52 | } | 52 | } | ||
53 | ], | 53 | ], | ||
54 | "creator_user_id": "cde7b848-a882-4fc7-97c9-670417bd6b43", | 54 | "creator_user_id": "cde7b848-a882-4fc7-97c9-670417bd6b43", | ||
55 | "dataCuratorAffiliation": "Centre for Earth Observation Science - | 55 | "dataCuratorAffiliation": "Centre for Earth Observation Science - | ||
56 | University of Manitoba", | 56 | University of Manitoba", | ||
57 | "dataCuratorEmail": "wayne.chan@umanitoba.ca", | 57 | "dataCuratorEmail": "wayne.chan@umanitoba.ca", | ||
58 | "datasetCitation": "", | 58 | "datasetCitation": "", | ||
59 | "datasetLevel": "1.1", | 59 | "datasetLevel": "1.1", | ||
60 | "datasetPublisher": "CanWIN", | 60 | "datasetPublisher": "CanWIN", | ||
61 | "dateType": "Updated", | 61 | "dateType": "Updated", | ||
62 | "descriptionType": "Abstract", | 62 | "descriptionType": "Abstract", | ||
63 | "eastBoundLongitude": "-94.0706395086", | 63 | "eastBoundLongitude": "-94.0706395086", | ||
64 | "embargoDate": "", | 64 | "embargoDate": "", | ||
65 | "endDate": "2019-08-09", | 65 | "endDate": "2019-08-09", | ||
66 | "endDateType": "Other", | 66 | "endDateType": "Other", | ||
67 | "frequency": "Not planned", | 67 | "frequency": "Not planned", | ||
68 | "funderIdentifierType": "", | 68 | "funderIdentifierType": "", | ||
69 | "funderName": "", | 69 | "funderName": "", | ||
70 | "funderSchemeURI": "", | 70 | "funderSchemeURI": "", | ||
71 | "groups": [ | 71 | "groups": [ | ||
72 | { | 72 | { | ||
73 | "description": "Inland water features, drainage systems and | 73 | "description": "Inland water features, drainage systems and | ||
74 | their characteristics. Examples of data you can find here include | 74 | their characteristics. Examples of data you can find here include | ||
75 | river and lake data, water quality data. \r\n\r\nIn CEOS, related | 75 | river and lake data, water quality data. \r\n\r\nIn CEOS, related | ||
76 | research themes include biogeochemistry, Inland lakes and waters, | 76 | research themes include biogeochemistry, Inland lakes and waters, | ||
77 | modelling, remote sensing and technology, trace metals and | 77 | modelling, remote sensing and technology, trace metals and | ||
78 | contaminants.", | 78 | contaminants.", | ||
79 | "display_name": "Freshwater", | 79 | "display_name": "Freshwater", | ||
80 | "id": "8f8cd877-b037-4b1a-b928-f86d9e093741", | 80 | "id": "8f8cd877-b037-4b1a-b928-f86d9e093741", | ||
81 | "image_display_url": | 81 | "image_display_url": | ||
82 | /data/uploads/group/2021-10-31-211937.658599hyinspirehydrography.svg", | 82 | /data/uploads/group/2021-10-31-211937.658599hyinspirehydrography.svg", | ||
83 | "name": "freshwater", | 83 | "name": "freshwater", | ||
84 | "title": "Freshwater" | 84 | "title": "Freshwater" | ||
85 | }, | 85 | }, | ||
86 | { | 86 | { | ||
87 | "description": "Image: \"Earth from Space\" by NASA Goddard | 87 | "description": "Image: \"Earth from Space\" by NASA Goddard | ||
88 | Photo and Video is licensed under CC BY 2.0", | 88 | Photo and Video is licensed under CC BY 2.0", | ||
89 | "display_name": "Remote Sensing", | 89 | "display_name": "Remote Sensing", | ||
90 | "id": "3ec49cbb-4da6-4fe8-8d54-5b6ce03b49d9", | 90 | "id": "3ec49cbb-4da6-4fe8-8d54-5b6ce03b49d9", | ||
91 | "image_display_url": | 91 | "image_display_url": | ||
92 | anitoba.ca/data/uploads/group/2022-02-05-222621.346712earthimage.jpg", | 92 | anitoba.ca/data/uploads/group/2022-02-05-222621.346712earthimage.jpg", | ||
93 | "name": "remote-sensing", | 93 | "name": "remote-sensing", | ||
94 | "title": "Remote Sensing" | 94 | "title": "Remote Sensing" | ||
95 | } | 95 | } | ||
96 | ], | 96 | ], | ||
97 | "id": "b5f259b4-3ace-4750-bfb0-47c4e794082f", | 97 | "id": "b5f259b4-3ace-4750-bfb0-47c4e794082f", | ||
98 | "isopen": false, | 98 | "isopen": false, | ||
99 | "keywords": "AERIAL PHOTOGRAPHS,Beluga,Churchill estuary,Unmanned | 99 | "keywords": "AERIAL PHOTOGRAPHS,Beluga,Churchill estuary,Unmanned | ||
100 | Aerial Vehicle,boat,kayak,video", | 100 | Aerial Vehicle,boat,kayak,video", | ||
101 | "kvSchemeURI": | 101 | "kvSchemeURI": | ||
102 | "https://www.polardata.ca/pdcinput/public/keywordlibrary ; | 102 | "https://www.polardata.ca/pdcinput/public/keywordlibrary ; | ||
103 | ps://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all?gtm_scheme=all", | 103 | ps://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all?gtm_scheme=all", | ||
104 | "laboratory": "CEOS", | 104 | "laboratory": "CEOS", | ||
105 | "licenceShemeURI": "https://spdx.org/licenses", | 105 | "licenceShemeURI": "https://spdx.org/licenses", | ||
106 | "licenceType": "Open", | 106 | "licenceType": "Open", | ||
107 | "license_id": null, | 107 | "license_id": null, | ||
108 | "license_title": null, | 108 | "license_title": null, | ||
109 | "maintainer": null, | 109 | "maintainer": null, | ||
110 | "maintainer_email": null, | 110 | "maintainer_email": null, | ||
111 | "metadata_created": "2022-02-04T19:17:36.940301", | 111 | "metadata_created": "2022-02-04T19:17:36.940301", | ||
n | 112 | "metadata_modified": "2022-02-27T19:33:15.982783", | n | 112 | "metadata_modified": "2022-02-27T19:35:12.217762", |
113 | "methodCitation": "", | 113 | "methodCitation": "", | ||
114 | "methodDescrioption": "", | 114 | "methodDescrioption": "", | ||
115 | "methodDescriptionType": "Methods", | 115 | "methodDescriptionType": "Methods", | ||
116 | "methodLink": "", | 116 | "methodLink": "", | ||
117 | "methodSummary": "", | 117 | "methodSummary": "", | ||
118 | "methodUrl": "", | 118 | "methodUrl": "", | ||
119 | "name": "churchill-beluga-boat-drone-imagery", | 119 | "name": "churchill-beluga-boat-drone-imagery", | ||
120 | "northBoundLatitude": "58.8195795207", | 120 | "northBoundLatitude": "58.8195795207", | ||
121 | "notes": "Aerial imagery surveys are commonly used in marine mammal | 121 | "notes": "Aerial imagery surveys are commonly used in marine mammal | ||
122 | research to determine population size, habitat distribution and | 122 | research to determine population size, habitat distribution and | ||
123 | habitat use. Analysis of aerial photos involves hours of manually | 123 | habitat use. Analysis of aerial photos involves hours of manually | ||
124 | identifying individuals present in each image and converting raw | 124 | identifying individuals present in each image and converting raw | ||
125 | counts into useable biological statistics. Our research proposes the | 125 | counts into useable biological statistics. Our research proposes the | ||
126 | use of deep learning algorithms as an assistive technology to increase | 126 | use of deep learning algorithms as an assistive technology to increase | ||
127 | the efficiency of the marine mammal research workflow. To test the | 127 | the efficiency of the marine mammal research workflow. To test the | ||
128 | feasibility of this proposal, the existing YOLOv4 convolutional neural | 128 | feasibility of this proposal, the existing YOLOv4 convolutional neural | ||
129 | network model was trained to detect belugas, kayaks and motorized | 129 | network model was trained to detect belugas, kayaks and motorized | ||
130 | boats in unmanned aerial vehicle (UAV) imagery. Computer-based object | 130 | boats in unmanned aerial vehicle (UAV) imagery. Computer-based object | ||
131 | detection achieved an average precision of 61.17% for belugas, 98.58% | 131 | detection achieved an average precision of 61.17% for belugas, 98.58% | ||
132 | for boats, and 95.97% for kayaks. We then tested the performance of | 132 | for boats, and 95.97% for kayaks. We then tested the performance of | ||
133 | computer vision tracking of belugas and manned watercraft in UAV | 133 | computer vision tracking of belugas and manned watercraft in UAV | ||
134 | videos using the DeepSORT tracking algorithm, achieving a multiple | 134 | videos using the DeepSORT tracking algorithm, achieving a multiple | ||
135 | object tracking accuracy (MOTA) ranging from 37% \u2013 88% and | 135 | object tracking accuracy (MOTA) ranging from 37% \u2013 88% and | ||
136 | multiple object tracking precision (MOTP) between 63% \u2013 86%. | 136 | multiple object tracking precision (MOTP) between 63% \u2013 86%. | ||
137 | Results from this research indicate that deep learning technology can | 137 | Results from this research indicate that deep learning technology can | ||
138 | perform at a similar caliber as human annotators in beluga and | 138 | perform at a similar caliber as human annotators in beluga and | ||
139 | watercraft detection and tracking, allowing for larger datasets to be | 139 | watercraft detection and tracking, allowing for larger datasets to be | ||
140 | processed within a fraction of the time. ", | 140 | processed within a fraction of the time. ", | ||
n | 141 | "num_resources": 17, | n | 141 | "num_resources": 16, |
142 | "num_tags": 7, | 142 | "num_tags": 7, | ||
143 | "organization": { | 143 | "organization": { | ||
144 | "approval_status": "approved", | 144 | "approval_status": "approved", | ||
145 | "created": "2017-07-21T13:15:49.935872", | 145 | "created": "2017-07-21T13:15:49.935872", | ||
146 | "description": "The Centre for Earth Observation Science (CEOS) | 146 | "description": "The Centre for Earth Observation Science (CEOS) | ||
147 | was established in 1994 with a mandate to research, preserve and | 147 | was established in 1994 with a mandate to research, preserve and | ||
148 | communicate knowledge of Earth system processes using the technologies | 148 | communicate knowledge of Earth system processes using the technologies | ||
149 | of Earth Observation Science. Research is multidisciplinary and | 149 | of Earth Observation Science. Research is multidisciplinary and | ||
150 | collaborative seeking to understand the complex interrelationships | 150 | collaborative seeking to understand the complex interrelationships | ||
151 | between elements of Earth systems, and how these systems will likely | 151 | between elements of Earth systems, and how these systems will likely | ||
152 | respond to climate change. Although researchers have worked in many | 152 | respond to climate change. Although researchers have worked in many | ||
153 | regions, the Arctic marine system has always been a unifying focus of | 153 | regions, the Arctic marine system has always been a unifying focus of | ||
154 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | 154 | activity.\r\n\r\nIn 2012, CEOS, along with the Greenland Climate | ||
155 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | 155 | Research Centre (GCRC, Nuuk, Greenland) and the Arctic Research Centre | ||
156 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | 156 | (ARC, Aarhus, Denmark) established the Arctic Science Partnership, | ||
157 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | 157 | thereby integrating academic and research initiatives.\r\n\r\nAreas of | ||
158 | existing research activity are divided among key themes:\r\n\r\nArctic | 158 | existing research activity are divided among key themes:\r\n\r\nArctic | ||
159 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | 159 | Anthropology/Paleoclimatology: LiDAR scanning and digital site | ||
160 | preservation, archaeo-geophysics, permafrost degredation, lithic | 160 | preservation, archaeo-geophysics, permafrost degredation, lithic | ||
161 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | 161 | morphometrics, zooarchaeology, proxy studies, paleodistribution of sea | ||
162 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | 162 | ice, landscape learning, Paleo-Eskimo culture, Thule Inuit culture, | ||
163 | ethnographic analogy, traditional knowledge, climate change and | 163 | ethnographic analogy, traditional knowledge, climate change and | ||
164 | northern heritage resource management.\r\n\r\nAtmospheric | 164 | northern heritage resource management.\r\n\r\nAtmospheric | ||
165 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | 165 | Studies/Meteorology: Boundary layer, precipitation, clouds, storms and | ||
166 | extreme weather, circulation, eddy correlations, polar vortex, | 166 | extreme weather, circulation, eddy correlations, polar vortex, | ||
167 | climate, teleconnections, geophysical fluid dynamics, flux and energy | 167 | climate, teleconnections, geophysical fluid dynamics, flux and energy | ||
168 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | 168 | budgets, ocean-sea ice-atmosphere interface, radiative transfer, ice | ||
169 | albedo feedback, cloud radiative forcing, pCO2. | 169 | albedo feedback, cloud radiative forcing, pCO2. | ||
170 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | 170 | \r\n\r\nBiogeochemistry: Organic carbon, greenhouse gases, bubbles, | ||
171 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | 171 | Ikaite, carbonate chemistry, CO2 fluxes, mercury and other trace | ||
172 | metals, minerals, hydrocarbons, brine processes, otolith | 172 | metals, minerals, hydrocarbons, brine processes, otolith | ||
173 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | 173 | microchemistry, sediments, biomarkers. \r\n\r\nContaminants: Mercury, | ||
174 | trace metals, PAHs, source, transport, transformation, pathways, | 174 | trace metals, PAHs, source, transport, transformation, pathways, | ||
175 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | 175 | bioaccumulations, marine ecosystems, marine chemistry. \r\nEarth | ||
176 | Observation Science: Active and passive microwave, LiDAR, EM | 176 | Observation Science: Active and passive microwave, LiDAR, EM | ||
177 | induction, spatial-temporal analysis, forward and inverse scattering | 177 | induction, spatial-temporal analysis, forward and inverse scattering | ||
178 | models, complex permittivity, ocean colour, ocean surface roughness, | 178 | models, complex permittivity, ocean colour, ocean surface roughness, | ||
179 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | 179 | NIR, TIR, satellite telemetry, GPS. Ice-Associated Biology: | ||
180 | Biophysical processes, primary production; ice algae, ice | 180 | Biophysical processes, primary production; ice algae, ice | ||
181 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | 181 | microbiology, bio-optics, under-ice phytoplankton. \r\n\r\nInland | ||
182 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | 182 | Lakes and Waters: Hydrologic connectivity, watershed systems, sediment | ||
183 | transport, nutrient transport, contaminants, landscape processes, | 183 | transport, nutrient transport, contaminants, landscape processes, | ||
184 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | 184 | remote sensing, freshwater-marine coupling. Marine Mammals: Seals, | ||
185 | whales, habitat, conservation, satellite telemetry, distribution, | 185 | whales, habitat, conservation, satellite telemetry, distribution, | ||
186 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | 186 | population studies, prey behaviour, bioacoustics.\r\n\r\nModelling: | ||
187 | Simulation of sea ice and oceanic regional processes, Nucleus for | 187 | Simulation of sea ice and oceanic regional processes, Nucleus for | ||
188 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | 188 | European Modelling of the Ocean (NEMO), ice-ocean modelling and | ||
189 | interactions, hind cast simulations and projections for sea ice state | 189 | interactions, hind cast simulations and projections for sea ice state | ||
190 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | 190 | and ocean variables based on CMIP5 scenarios and MIROC5 forcing, | ||
191 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | 191 | validation.\r\n\r\nOceanography: Circulation, temperature, in-flow and | ||
192 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | 192 | out-flow shelves, water dynamics, microturbulence, Beaufort Gyre, eddy | ||
193 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | 193 | correlations.\r\n\r\nSea Ice Geophysics:Thermodynamic and dynamic | ||
194 | processes, extreme ice features and hazards, snow, ridges, | 194 | processes, extreme ice features and hazards, snow, ridges, | ||
195 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | 195 | polynyas.\r\n\r\nTraditional and Local Knowledge: Indigenous cultures, | ||
196 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | 196 | Inuit, Inuvialuit, oral history, toponomy, mobility and settlement, | ||
197 | hunting, food security, sea ice use, community-based research, | 197 | hunting, food security, sea ice use, community-based research, | ||
198 | community-based monitoring, two ways of knowing.", | 198 | community-based monitoring, two ways of knowing.", | ||
199 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 199 | "id": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
200 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | 200 | "image_url": "2021-11-13-003953.952874UMLogoHORZ.jpg", | ||
201 | "is_organization": true, | 201 | "is_organization": true, | ||
202 | "name": "ceos2", | 202 | "name": "ceos2", | ||
203 | "state": "active", | 203 | "state": "active", | ||
204 | "title": "CEOS", | 204 | "title": "CEOS", | ||
205 | "type": "organization" | 205 | "type": "organization" | ||
206 | }, | 206 | }, | ||
207 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | 207 | "owner_org": "9e21f6b6-d13f-4ba2-a379-fd962f507071", | ||
208 | "private": false, | 208 | "private": false, | ||
209 | "relatedIdentifier": "", | 209 | "relatedIdentifier": "", | ||
210 | "related_campaigns": "[]", | 210 | "related_campaigns": "[]", | ||
211 | "related_deployments": "[\"2f3631e0-419d-4565-81b0-24ad63465939\"]", | 211 | "related_deployments": "[\"2f3631e0-419d-4565-81b0-24ad63465939\"]", | ||
212 | "related_instruments": "[\"f05fb4d8-e2e6-4ab9-b856-09eebd59e510\"]", | 212 | "related_instruments": "[\"f05fb4d8-e2e6-4ab9-b856-09eebd59e510\"]", | ||
213 | "related_platforms": "[\"75e924c1-f565-4de2-8a1b-51321273bad7\"]", | 213 | "related_platforms": "[\"75e924c1-f565-4de2-8a1b-51321273bad7\"]", | ||
214 | "related_programs": "[]", | 214 | "related_programs": "[]", | ||
215 | "related_publications": "[]", | 215 | "related_publications": "[]", | ||
216 | "relationships_as_object": [], | 216 | "relationships_as_object": [], | ||
217 | "relationships_as_subject": [], | 217 | "relationships_as_subject": [], | ||
218 | "resourceTypeGeneral": "Dataset", | 218 | "resourceTypeGeneral": "Dataset", | ||
219 | "resources": [ | 219 | "resources": [ | ||
220 | { | 220 | { | ||
221 | "cache_last_updated": null, | 221 | "cache_last_updated": null, | ||
222 | "cache_url": null, | 222 | "cache_url": null, | ||
n | 223 | "created": "2022-02-14T16:31:55.543198", | n | ||
224 | "datastore_active": false, | ||||
225 | "datastore_contains_all_records_of_source_file": false, | ||||
226 | "description": "**Arctic Science Gets Graphic!**\r\n\r\nWayne | ||||
227 | Chan and Madison Harasyn\r\n\r\nResearchers at CEOS are often asked to | ||||
228 | write a field story about their work, to make their research more | ||||
229 | accessible. We decided to do something a little different for our work | ||||
230 | on applying machine learning to detecting and tracking beluga whales: | ||||
231 | we are presenting it as a comic-book style video!\r\n\r\nComics and | ||||
232 | graphic novels are a very popular genre now and cover a wide range of | ||||
233 | subjects, from traditional | ||||
234 | superheroes](https://en.wikipedia.org/wiki/Batman:_The_Long_Halloween) | ||||
235 | to historical figures like [Louis | ||||
236 | Riel](https://en.wikipedia.org/wiki/Louis_Riel_comics). They have also | ||||
237 | become a novel and emerging way of communicating science. There are | ||||
238 | graphic novels about | ||||
239 | ooks/303/303922/mysteries-of-the-quantum-universe/9780141985176.html), | ||||
240 | //www.larrygonick.com/titles/science/the-cartoon-guide-to-chemistry/), | ||||
241 | biology](https://us.macmillan.com/books/9780809089475/thestuffoflife), | ||||
242 | and [math](https://en.wikipedia.org/wiki/Logicomix), and ones about | ||||
243 | famous scientists, such as [Stephen | ||||
244 | Hawking](https://us.macmillan.com/books/9781626720251/hawking) and | ||||
245 | [Alan | ||||
246 | g](https://www.abramsbooks.com/product/imitation-game_9781419718939/). | ||||
247 | Comics are not only used for science education, however; they are also | ||||
248 | gaining popularity as a means of disseminating new research findings. | ||||
249 | The European Research Council (ERC), for example, recently decided to | ||||
250 | create [comic-book adaptations](https://www.erccomics.com/) of some of | ||||
251 | their funded projects, as an innovative way to showcase | ||||
252 | them.\r\n\r\nThe process of doing scientific research is very visual, | ||||
253 | with researchers often drawing out ideas on a whiteboard or on paper. | ||||
254 | Yet, the end product is usually an academic journal article that is | ||||
255 | mostly text and a few graphs, couched in technical language and | ||||
256 | presented in a formalized structure. \r\n\r\nComics and graphic novels | ||||
257 | can bridge this gap between the textual and visual by combining a | ||||
258 | narrative structure with visual storytelling to bring a story to life. | ||||
259 | And since comics appeal to people of all ages and cultural | ||||
260 | backgrounds, they can engage new groups of people, rather than the | ||||
261 | audiences who typically read research literature. \r\n\r\nJournal | ||||
262 | articles can also wrongly give the impression that the research was a | ||||
263 | straightforward \"royal road\" from hypothesis to conclusion, which is | ||||
264 | seldom the case. The false paths and dead-ends that were explored and | ||||
265 | the obstacles that were encountered are never mentioned. Much like a | ||||
266 | finished building, the scaffolding has been removed, leaving only the | ||||
267 | final result for people to see. Learning about these dead-ends, | ||||
268 | however, can be instructive and reassuring to a student starting out | ||||
269 | in research. A comic can show this type of behind-the-scenes work that | ||||
270 | is rarely discussed in a more formal article.\r\n\r\nWe hope that our | ||||
271 | comic-book video illustrates the research process, with its ups and | ||||
272 | downs, and also shows how people with different backgrounds work | ||||
273 | together on a project. If it motivates people to find out more about | ||||
274 | our work (and read the dry, academic version of it), that's all we can | ||||
275 | ask for!\r\nWithout further ado!", | ||||
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755 | }, | 680 | }, | ||
756 | { | 681 | { | ||
757 | "display_name": "boat", | 682 | "display_name": "boat", | ||
758 | "id": "b51f6a38-77f6-4e99-b83e-721cd7a05470", | 683 | "id": "b51f6a38-77f6-4e99-b83e-721cd7a05470", | ||
759 | "name": "boat", | 684 | "name": "boat", | ||
760 | "state": "active", | 685 | "state": "active", | ||
761 | "vocabulary_id": null | 686 | "vocabulary_id": null | ||
762 | }, | 687 | }, | ||
763 | { | 688 | { | ||
764 | "display_name": "kayak", | 689 | "display_name": "kayak", | ||
765 | "id": "8383485f-fb93-42fd-a624-cb309b35ea78", | 690 | "id": "8383485f-fb93-42fd-a624-cb309b35ea78", | ||
766 | "name": "kayak", | 691 | "name": "kayak", | ||
767 | "state": "active", | 692 | "state": "active", | ||
768 | "vocabulary_id": null | 693 | "vocabulary_id": null | ||
769 | }, | 694 | }, | ||
770 | { | 695 | { | ||
771 | "display_name": "video", | 696 | "display_name": "video", | ||
772 | "id": "2d1f3515-7c95-4d63-9ce8-829079ad26e9", | 697 | "id": "2d1f3515-7c95-4d63-9ce8-829079ad26e9", | ||
773 | "name": "video", | 698 | "name": "video", | ||
774 | "state": "active", | 699 | "state": "active", | ||
775 | "vocabulary_id": null | 700 | "vocabulary_id": null | ||
776 | } | 701 | } | ||
777 | ], | 702 | ], | ||
778 | "theme": [ | 703 | "theme": [ | ||
779 | "8f8cd877-b037-4b1a-b928-f86d9e093741", | 704 | "8f8cd877-b037-4b1a-b928-f86d9e093741", | ||
780 | "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | 705 | "98238b1c-5be8-41ad-8c6e-74cdc4f5f369", | ||
781 | "3ec49cbb-4da6-4fe8-8d54-5b6ce03b49d9" | 706 | "3ec49cbb-4da6-4fe8-8d54-5b6ce03b49d9" | ||
782 | ], | 707 | ], | ||
783 | "title": "Churchill Beluga Boat Drone Imagery", | 708 | "title": "Churchill Beluga Boat Drone Imagery", | ||
784 | "titleType": "Alternative Title", | 709 | "titleType": "Alternative Title", | ||
785 | "type": "dataset", | 710 | "type": "dataset", | ||
786 | "url": null, | 711 | "url": null, | ||
787 | "useTerms": "By accessing this data you agree to [CanWIN's Terms of | 712 | "useTerms": "By accessing this data you agree to [CanWIN's Terms of | ||
788 | anwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).", | 713 | anwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).", | ||
789 | "variablesMeasured": "", | 714 | "variablesMeasured": "", | ||
790 | "version": null, | 715 | "version": null, | ||
791 | "westBoundLongitude": "-94.3257662171" | 716 | "westBoundLongitude": "-94.3257662171" | ||
792 | } | 717 | } |