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On July 19, 2023 at 5:21:30 PM UTC, Administrator:
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Changed value of field
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topublished
in Snow depth mapping by airplane photogrammetry (2017 - ongoing)
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"SLF\", \"affiliation_02\": \"\", | 2 | "author": "[{\"affiliation\": \"SLF\", \"affiliation_02\": \"\", | ||
3 | \"affiliation_03\": \"\", \"email\": \"leon.buehrle@slf.ch\", | 3 | \"affiliation_03\": \"\", \"email\": \"leon.buehrle@slf.ch\", | ||
4 | \"given_name\": \"Leon\", \"identifier\": \"\", \"name\": | 4 | \"given_name\": \"Leon\", \"identifier\": \"\", \"name\": | ||
5 | \"B\\u00fchrle\"}, {\"affiliation\": \"SLF\", \"affiliation_02\": | 5 | \"B\\u00fchrle\"}, {\"affiliation\": \"SLF\", \"affiliation_02\": | ||
6 | \"\", \"affiliation_03\": \"\", \"email\": \"pia.ruttner@slf.ch\", | 6 | \"\", \"affiliation_03\": \"\", \"email\": \"pia.ruttner@slf.ch\", | ||
7 | \"given_name\": \"Pia\", \"identifier\": \"\", \"name\": | 7 | \"given_name\": \"Pia\", \"identifier\": \"\", \"name\": | ||
8 | \"Ruttner-Jansen\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": | 8 | \"Ruttner-Jansen\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": | ||
9 | \"\", \"affiliation_03\": \"\", \"data_credit\": \"supervision\", | 9 | \"\", \"affiliation_03\": \"\", \"data_credit\": \"supervision\", | ||
10 | \"email\": \"mauro.marty@wsl.ch\", \"given_name\": \"Mauro\", | 10 | \"email\": \"mauro.marty@wsl.ch\", \"given_name\": \"Mauro\", | ||
11 | \"identifier\": \"0000-0002-0943-2454\", \"name\": \"Marty\"}, | 11 | \"identifier\": \"0000-0002-0943-2454\", \"name\": \"Marty\"}, | ||
12 | {\"affiliation\": \"WSL Institute for Snow and Avalanche Research | 12 | {\"affiliation\": \"WSL Institute for Snow and Avalanche Research | ||
13 | SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 13 | SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
14 | \"data_credit\": \"supervision\", \"email\": \"buehler@slf.ch\", | 14 | \"data_credit\": \"supervision\", \"email\": \"buehler@slf.ch\", | ||
15 | \"given_name\": \"Yves\", \"identifier\": \"0000-0002-0815-2717\", | 15 | \"given_name\": \"Yves\", \"identifier\": \"0000-0002-0815-2717\", | ||
16 | \"name\": \"B\\u00fchler\"}]", | 16 | \"name\": \"B\\u00fchler\"}]", | ||
17 | "author_email": null, | 17 | "author_email": null, | ||
18 | "creator_user_id": "cf8fb671-ebb4-4d0f-89b9-540b734525db", | 18 | "creator_user_id": "cf8fb671-ebb4-4d0f-89b9-540b734525db", | ||
19 | "date": "[{\"date\": \"2017-03-16\", \"date_type\": \"created\", | 19 | "date": "[{\"date\": \"2017-03-16\", \"date_type\": \"created\", | ||
20 | \"end_date\": \"2017-03-16\"}, {\"date\": \"2018-04-11\", | 20 | \"end_date\": \"2017-03-16\"}, {\"date\": \"2018-04-11\", | ||
21 | \"date_type\": \"created\", \"end_date\": \"2018-04-11\"}, {\"date\": | 21 | \"date_type\": \"created\", \"end_date\": \"2018-04-11\"}, {\"date\": | ||
22 | \"2019-03-16\", \"date_type\": \"created\", \"end_date\": | 22 | \"2019-03-16\", \"date_type\": \"created\", \"end_date\": | ||
23 | \"2019-03-16\"}, {\"date\": \"2020-04-06\", \"date_type\": | 23 | \"2019-03-16\"}, {\"date\": \"2020-04-06\", \"date_type\": | ||
24 | \"created\", \"end_date\": \"2020-04-06\"}, {\"date\": \"2021-04-16\", | 24 | \"created\", \"end_date\": \"2020-04-06\"}, {\"date\": \"2021-04-16\", | ||
25 | \"date_type\": \"created\", \"end_date\": \"2021-04-16\"}]", | 25 | \"date_type\": \"created\", \"end_date\": \"2021-04-16\"}]", | ||
26 | "doi": "10.16904/envidat.418", | 26 | "doi": "10.16904/envidat.418", | ||
27 | "funding": "[{\"grant_number\": \"Grant N\u00b0 200021_172800).\", | 27 | "funding": "[{\"grant_number\": \"Grant N\u00b0 200021_172800).\", | ||
28 | \"institution\": \"Swiss National Science Foundation \", | 28 | \"institution\": \"Swiss National Science Foundation \", | ||
29 | \"institution_url\": \"\"}, {\"grant_number\": \"Grant | 29 | \"institution_url\": \"\"}, {\"grant_number\": \"Grant | ||
30 | N*200021_207519\", \"institution\": \"Swiss National Science | 30 | N*200021_207519\", \"institution\": \"Swiss National Science | ||
31 | Foundation \", \"institution_url\": \"\"}]", | 31 | Foundation \", \"institution_url\": \"\"}]", | ||
32 | "groups": [], | 32 | "groups": [], | ||
33 | "id": "8ff4d5b7-07f2-46c0-a631-6459edc0fe8b", | 33 | "id": "8ff4d5b7-07f2-46c0-a631-6459edc0fe8b", | ||
34 | "isopen": true, | 34 | "isopen": true, | ||
35 | "language": "en", | 35 | "language": "en", | ||
36 | "license_id": "odc-odbl", | 36 | "license_id": "odc-odbl", | ||
37 | "license_title": "ODbL with Database Contents License (DbCL)", | 37 | "license_title": "ODbL with Database Contents License (DbCL)", | ||
38 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | 38 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | ||
39 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | 39 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | ||
40 | Avalanche Research SLF\", \"email\": \"buehler@slf.ch\", | 40 | Avalanche Research SLF\", \"email\": \"buehler@slf.ch\", | ||
41 | \"given_name\": \"Yves\", \"identifier\": \"0000-0002-0815-2717\", | 41 | \"given_name\": \"Yves\", \"identifier\": \"0000-0002-0815-2717\", | ||
42 | \"name\": \"B\u00fchler\"}", | 42 | \"name\": \"B\u00fchler\"}", | ||
43 | "maintainer_email": null, | 43 | "maintainer_email": null, | ||
44 | "metadata_created": "2022-03-31T14:42:51.829056", | 44 | "metadata_created": "2022-03-31T14:42:51.829056", | ||
n | 45 | "metadata_modified": "2023-07-10T09:01:42.366591", | n | 45 | "metadata_modified": "2023-07-19T17:21:30.218126", |
46 | "name": | 46 | "name": | ||
47 | "snow-depth-mapping-by-airplane-photogrammetry-2017-ongoing", | 47 | "snow-depth-mapping-by-airplane-photogrammetry-2017-ongoing", | ||
48 | "notes": "The available datasets are snow depth maps with a spatial | 48 | "notes": "The available datasets are snow depth maps with a spatial | ||
49 | resolution of 0.5 m derived from images of the survey camera Vexcel | 49 | resolution of 0.5 m derived from images of the survey camera Vexcel | ||
50 | Ultracam mounted on a piloted airplane. Image acquisition was carried | 50 | Ultracam mounted on a piloted airplane. Image acquisition was carried | ||
51 | out during the approximately peak of winter (time when the thickest | 51 | out during the approximately peak of winter (time when the thickest | ||
52 | snowpack is expected) in spring. The snow depth maps are calculated by | 52 | snowpack is expected) in spring. The snow depth maps are calculated by | ||
53 | the subtraction of a summer-DTM from the processed winter- DSM of the | 53 | the subtraction of a summer-DTM from the processed winter- DSM of the | ||
54 | corresponding date. The summer-DTM used was derived from a point cloud | 54 | corresponding date. The summer-DTM used was derived from a point cloud | ||
55 | of an airborne laser scanner from 2020. \r\n\r\nDue to the occurrence | 55 | of an airborne laser scanner from 2020. \r\n\r\nDue to the occurrence | ||
56 | of inaccuracies of the calculated snow depth values caused by the | 56 | of inaccuracies of the calculated snow depth values caused by the | ||
57 | photogrammetric method, we applied different masks to significantly | 57 | photogrammetric method, we applied different masks to significantly | ||
58 | increase the reliability of the snow depth maps. We masked out settled | 58 | increase the reliability of the snow depth maps. We masked out settled | ||
59 | areas, high-frequented streets and technical constructions, pixels | 59 | areas, high-frequented streets and technical constructions, pixels | ||
60 | with high vegetation (height > 0.5 m) , outliers and unrealistic snow | 60 | with high vegetation (height > 0.5 m) , outliers and unrealistic snow | ||
61 | depth values. In addition, we modified the snow depth values of | 61 | depth values. In addition, we modified the snow depth values of | ||
62 | snow-free pixels to 0. \r\nThe information on buildings and | 62 | snow-free pixels to 0. \r\nThe information on buildings and | ||
63 | infrastructure comes from the exactly classified ALS point cloud and | 63 | infrastructure comes from the exactly classified ALS point cloud and | ||
64 | the TLM dataset from Swisstopo | 64 | the TLM dataset from Swisstopo | ||
65 | https://www.swisstopo.admin.ch/de/geodata/landscape/tlm3d.html#links). | 65 | https://www.swisstopo.admin.ch/de/geodata/landscape/tlm3d.html#links). | ||
66 | High vegetation is also derived from the classification and the | 66 | High vegetation is also derived from the classification and the | ||
67 | calculated object height from the point cloud. \r\nOutliers and | 67 | calculated object height from the point cloud. \r\nOutliers and | ||
68 | unrealistic snow depth values are defined as negative snow depth | 68 | unrealistic snow depth values are defined as negative snow depth | ||
69 | values and snow depths exceeding 10 m. The classification of each | 69 | values and snow depths exceeding 10 m. The classification of each | ||
70 | pixel of the corresponding orthophoto into snow-covered or snow-free | 70 | pixel of the corresponding orthophoto into snow-covered or snow-free | ||
71 | is based on the application of a threshold of the NDSI or manually | 71 | is based on the application of a threshold of the NDSI or manually | ||
72 | determined ratios of the RGB values.\r\n\r\nAn extensive accuracy | 72 | determined ratios of the RGB values.\r\n\r\nAn extensive accuracy | ||
73 | assessment proves the high accuracy of the snow depth maps with a root | 73 | assessment proves the high accuracy of the snow depth maps with a root | ||
74 | mean square error of 0.25 m for the year 2017 and 0.15 m for the | 74 | mean square error of 0.25 m for the year 2017 and 0.15 m for the | ||
75 | following snow depth maps. \r\n\r\nThe work is published | 75 | following snow depth maps. \r\n\r\nThe work is published | ||
76 | in:\r\n\r\n\r\n", | 76 | in:\r\n\r\n\r\n", | ||
77 | "num_resources": 1, | 77 | "num_resources": 1, | ||
78 | "num_tags": 6, | 78 | "num_tags": 6, | ||
79 | "organization": { | 79 | "organization": { | ||
80 | "approval_status": "approved", | 80 | "approval_status": "approved", | ||
81 | "created": "2021-10-27T11:11:19.402891", | 81 | "created": "2021-10-27T11:11:19.402891", | ||
82 | "description": "\"__Cutting edge remote sensing research and | 82 | "description": "\"__Cutting edge remote sensing research and | ||
83 | technology for alpine regions__ - We strive to develop, test, combine | 83 | technology for alpine regions__ - We strive to develop, test, combine | ||
84 | and apply innovative solutions to detect, monitor and forecast natural | 84 | and apply innovative solutions to detect, monitor and forecast natural | ||
85 | hazards, aiming at safe mountains in a changing climate.\"\r\nClimate | 85 | hazards, aiming at safe mountains in a changing climate.\"\r\nClimate | ||
86 | change is having an increasing impact on the Alpine region and the | 86 | change is having an increasing impact on the Alpine region and the | ||
87 | potential for natural hazard processes in the high mountains is | 87 | potential for natural hazard processes in the high mountains is | ||
88 | rising. However, it is impossible to predict where extreme events will | 88 | rising. However, it is impossible to predict where extreme events will | ||
89 | occur, and complete protection of settlements and transport routes is | 89 | occur, and complete protection of settlements and transport routes is | ||
90 | technically and economically impossible.\r\n\r\nRemote sensing systems | 90 | technically and economically impossible.\r\n\r\nRemote sensing systems | ||
91 | on the ground, on drones, aircraft or satellites are increasingly | 91 | on the ground, on drones, aircraft or satellites are increasingly | ||
92 | becoming an important tool in natural hazard research. They can be | 92 | becoming an important tool in natural hazard research. They can be | ||
93 | used to accurately document events, continuously record changes, and | 93 | used to accurately document events, continuously record changes, and | ||
94 | identify potential \"hotspots\" at an early stage. The combination of | 94 | identify potential \"hotspots\" at an early stage. The combination of | ||
95 | optical and radar remote sensing systems has great potential to | 95 | optical and radar remote sensing systems has great potential to | ||
96 | increase the level of safety. The center is researching how such | 96 | increase the level of safety. The center is researching how such | ||
97 | systems can be optimally used in the future in high alpine terrain for | 97 | systems can be optimally used in the future in high alpine terrain for | ||
98 | the documentation, detection and prevention of natural | 98 | the documentation, detection and prevention of natural | ||
99 | hazards.\r\n\r\nAlpine remote sensing is one of the main topics of the | 99 | hazards.\r\n\r\nAlpine remote sensing is one of the main topics of the | ||
100 | CERC research centre.", | 100 | CERC research centre.", | ||
101 | "id": "10cde33b-8da7-448a-b627-93e43d326154", | 101 | "id": "10cde33b-8da7-448a-b627-93e43d326154", | ||
102 | "image_url": | 102 | "image_url": | ||
103 | s://www.envidat.ch/uploads/group/2016-05-24-141521.837240logoslf.png", | 103 | s://www.envidat.ch/uploads/group/2016-05-24-141521.837240logoslf.png", | ||
104 | "is_organization": true, | 104 | "is_organization": true, | ||
105 | "name": "alpine-remote-sensing", | 105 | "name": "alpine-remote-sensing", | ||
106 | "state": "active", | 106 | "state": "active", | ||
107 | "title": "Alpine Remote Sensing", | 107 | "title": "Alpine Remote Sensing", | ||
108 | "type": "organization" | 108 | "type": "organization" | ||
109 | }, | 109 | }, | ||
110 | "owner_org": "10cde33b-8da7-448a-b627-93e43d326154", | 110 | "owner_org": "10cde33b-8da7-448a-b627-93e43d326154", | ||
111 | "private": false, | 111 | "private": false, | ||
112 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 112 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
113 | \"EnviDat\"}", | 113 | \"EnviDat\"}", | ||
t | 114 | "publication_state": "approved", | t | 114 | "publication_state": "published", |
115 | "related_datasets": "* Marty, Mauro; B\u00fchler, Yves; Ginzler, | 115 | "related_datasets": "* Marty, Mauro; B\u00fchler, Yves; Ginzler, | ||
116 | Christian (2019). Snow Depth Mapping. EnviDat. | 116 | Christian (2019). Snow Depth Mapping. EnviDat. | ||
117 | doi:10.16904/envidat.62.\r\n", | 117 | doi:10.16904/envidat.62.\r\n", | ||
118 | "related_publications": "B\u00fchrle, L. J., Marty, M., Eberhard, L. | 118 | "related_publications": "B\u00fchrle, L. J., Marty, M., Eberhard, L. | ||
119 | A., Stoffel, A., Hafner, E. D., and B\u00fchler, Y.: Spatially | 119 | A., Stoffel, A., Hafner, E. D., and B\u00fchler, Y.: Spatially | ||
120 | continuous snow depth mapping by airplane photogrammetry for annual | 120 | continuous snow depth mapping by airplane photogrammetry for annual | ||
121 | peak of winter from 2017 to 2021, The Cryosphere Discuss. [preprint], | 121 | peak of winter from 2017 to 2021, The Cryosphere Discuss. [preprint], | ||
122 | https://doi.org/10.5194/tc-2022-65, in review, 2022.", | 122 | https://doi.org/10.5194/tc-2022-65, in review, 2022.", | ||
123 | "relationships_as_object": [], | 123 | "relationships_as_object": [], | ||
124 | "relationships_as_subject": [], | 124 | "relationships_as_subject": [], | ||
125 | "resource_type": "dataset", | 125 | "resource_type": "dataset", | ||
126 | "resource_type_general": "dataset", | 126 | "resource_type_general": "dataset", | ||
127 | "resources": [ | 127 | "resources": [ | ||
128 | { | 128 | { | ||
129 | "cache_last_updated": null, | 129 | "cache_last_updated": null, | ||
130 | "cache_url": null, | 130 | "cache_url": null, | ||
131 | "created": "2022-03-31T14:54:55.272133", | 131 | "created": "2022-03-31T14:54:55.272133", | ||
132 | "description": "", | 132 | "description": "", | ||
133 | "doi": "", | 133 | "doi": "", | ||
134 | "format": "geotiff", | 134 | "format": "geotiff", | ||
135 | "hash": "", | 135 | "hash": "", | ||
136 | "id": "16db39de-7860-4f5f-8cfa-66a0f5c9104c", | 136 | "id": "16db39de-7860-4f5f-8cfa-66a0f5c9104c", | ||
137 | "last_modified": null, | 137 | "last_modified": null, | ||
138 | "metadata_modified": "2023-05-09T11:52:23.652631", | 138 | "metadata_modified": "2023-05-09T11:52:23.652631", | ||
139 | "mimetype": null, | 139 | "mimetype": null, | ||
140 | "mimetype_inner": null, | 140 | "mimetype_inner": null, | ||
141 | "name": "Snowdepth maps", | 141 | "name": "Snowdepth maps", | ||
142 | "package_id": "8ff4d5b7-07f2-46c0-a631-6459edc0fe8b", | 142 | "package_id": "8ff4d5b7-07f2-46c0-a631-6459edc0fe8b", | ||
143 | "position": 0, | 143 | "position": 0, | ||
144 | "publication_state": "", | 144 | "publication_state": "", | ||
145 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 145 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
146 | \"\"}", | 146 | \"\"}", | ||
147 | "resource_type": null, | 147 | "resource_type": null, | ||
148 | "restricted": "{\"allowed_users\": \"\", \"level\": | 148 | "restricted": "{\"allowed_users\": \"\", \"level\": | ||
149 | \"same_organization\", \"shared_secret\": \"\"}", | 149 | \"same_organization\", \"shared_secret\": \"\"}", | ||
150 | "size": null, | 150 | "size": null, | ||
151 | "state": "active", | 151 | "state": "active", | ||
152 | "url": | 152 | "url": | ||
153 | =wsl%2Fsnow-depth-mapping-by-airplane-photogrammetry-2017-ongoing%2F", | 153 | =wsl%2Fsnow-depth-mapping-by-airplane-photogrammetry-2017-ongoing%2F", | ||
154 | "url_type": null | 154 | "url_type": null | ||
155 | } | 155 | } | ||
156 | ], | 156 | ], | ||
157 | "spatial": | 157 | "spatial": | ||
158 | 45497823,46.79780714053474],[9.800262423232198,46.84667121074974]]]}", | 158 | 45497823,46.79780714053474],[9.800262423232198,46.84667121074974]]]}", | ||
159 | "spatial_info": "Switzerland", | 159 | "spatial_info": "Switzerland", | ||
160 | "state": "active", | 160 | "state": "active", | ||
161 | "subtitle": "", | 161 | "subtitle": "", | ||
162 | "tags": [ | 162 | "tags": [ | ||
163 | { | 163 | { | ||
164 | "display_name": "AVALANCHES", | 164 | "display_name": "AVALANCHES", | ||
165 | "id": "e9bbed2b-85d9-49a7-bdfb-2e5785e2202b", | 165 | "id": "e9bbed2b-85d9-49a7-bdfb-2e5785e2202b", | ||
166 | "name": "AVALANCHES", | 166 | "name": "AVALANCHES", | ||
167 | "state": "active", | 167 | "state": "active", | ||
168 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
169 | }, | 169 | }, | ||
170 | { | 170 | { | ||
171 | "display_name": "DAVOS", | 171 | "display_name": "DAVOS", | ||
172 | "id": "0eaee358-976d-4d17-a591-10c1194eb258", | 172 | "id": "0eaee358-976d-4d17-a591-10c1194eb258", | ||
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174 | "state": "active", | 174 | "state": "active", | ||
175 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
176 | }, | 176 | }, | ||
177 | { | 177 | { | ||
178 | "display_name": "DISCHMA", | 178 | "display_name": "DISCHMA", | ||
179 | "id": "e7b9001f-b560-4d98-9f73-1b0b1c980548", | 179 | "id": "e7b9001f-b560-4d98-9f73-1b0b1c980548", | ||
180 | "name": "DISCHMA", | 180 | "name": "DISCHMA", | ||
181 | "state": "active", | 181 | "state": "active", | ||
182 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
183 | }, | 183 | }, | ||
184 | { | 184 | { | ||
185 | "display_name": "PHOTOGRAMMETRY", | 185 | "display_name": "PHOTOGRAMMETRY", | ||
186 | "id": "594e1d26-8d11-436d-9540-15987be757ed", | 186 | "id": "594e1d26-8d11-436d-9540-15987be757ed", | ||
187 | "name": "PHOTOGRAMMETRY", | 187 | "name": "PHOTOGRAMMETRY", | ||
188 | "state": "active", | 188 | "state": "active", | ||
189 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
190 | }, | 190 | }, | ||
191 | { | 191 | { | ||
192 | "display_name": "SNOW DEPTH DISTRIBUTION", | 192 | "display_name": "SNOW DEPTH DISTRIBUTION", | ||
193 | "id": "2ed6633e-7246-40fa-be0d-d8e8a06f610f", | 193 | "id": "2ed6633e-7246-40fa-be0d-d8e8a06f610f", | ||
194 | "name": "SNOW DEPTH DISTRIBUTION", | 194 | "name": "SNOW DEPTH DISTRIBUTION", | ||
195 | "state": "active", | 195 | "state": "active", | ||
196 | "vocabulary_id": null | 196 | "vocabulary_id": null | ||
197 | }, | 197 | }, | ||
198 | { | 198 | { | ||
199 | "display_name": "SNOW HYDROLOGY", | 199 | "display_name": "SNOW HYDROLOGY", | ||
200 | "id": "1db33716-0e58-4ea1-b720-493475ddf435", | 200 | "id": "1db33716-0e58-4ea1-b720-493475ddf435", | ||
201 | "name": "SNOW HYDROLOGY", | 201 | "name": "SNOW HYDROLOGY", | ||
202 | "state": "active", | 202 | "state": "active", | ||
203 | "vocabulary_id": null | 203 | "vocabulary_id": null | ||
204 | } | 204 | } | ||
205 | ], | 205 | ], | ||
206 | "title": "Snow depth mapping by airplane photogrammetry (2017 - | 206 | "title": "Snow depth mapping by airplane photogrammetry (2017 - | ||
207 | ongoing)", | 207 | ongoing)", | ||
208 | "type": "dataset", | 208 | "type": "dataset", | ||
209 | "url": null, | 209 | "url": null, | ||
210 | "version": "1.0" | 210 | "version": "1.0" | ||
211 | } | 211 | } |