Changes
On January 5, 2023 at 9:51:55 AM UTC, Administrator:
-
Moved 3D_Snow_Models from organization Snow Avalanches and Prevention to organization Snow and Atmosphere
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche | 2 | "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche | ||
3 | Research SLF, Davos Dorf, Switzerland\", \"affiliation_02\": \"SLF\", | 3 | Research SLF, Davos Dorf, Switzerland\", \"affiliation_02\": \"SLF\", | ||
4 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 4 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
5 | \"validation\", \"curation\", \"publication\", \"supervision\"], | 5 | \"validation\", \"curation\", \"publication\", \"supervision\"], | ||
6 | \"email\": \"schneebeli@slf.ch\", \"given_name\": \"Martin\", | 6 | \"email\": \"schneebeli@slf.ch\", \"given_name\": \"Martin\", | ||
7 | \"identifier\": \"0000-0003-2872-4409\", \"name\": \"Schneebeli\"}, | 7 | \"identifier\": \"0000-0003-2872-4409\", \"name\": \"Schneebeli\"}, | ||
8 | {\"affiliation\": \"WSL Institute for Snow and Avalanche Research SLF, | 8 | {\"affiliation\": \"WSL Institute for Snow and Avalanche Research SLF, | ||
9 | Davos Dorf, Switzerland\", \"affiliation_02\": \"\", | 9 | Davos Dorf, Switzerland\", \"affiliation_02\": \"\", | ||
10 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 10 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
11 | \"validation\", \"publication\", \"supervision\"], \"email\": | 11 | \"validation\", \"publication\", \"supervision\"], \"email\": | ||
12 | \"jaggi@slf.ch\", \"given_name\": \"Matthias\", \"identifier\": | 12 | \"jaggi@slf.ch\", \"given_name\": \"Matthias\", \"identifier\": | ||
13 | \"0000-0003-0940-2375\", \"name\": \"Jaggi\"}, {\"affiliation\": \"WSL | 13 | \"0000-0003-0940-2375\", \"name\": \"Jaggi\"}, {\"affiliation\": \"WSL | ||
14 | Institute for Snow and Avalanche Research SLF, Davos Dorf, | 14 | Institute for Snow and Avalanche Research SLF, Davos Dorf, | ||
15 | Switzerland\", \"affiliation_02\": \"SLF\", \"affiliation_03\": \"\", | 15 | Switzerland\", \"affiliation_02\": \"SLF\", \"affiliation_03\": \"\", | ||
16 | \"data_credit\": [\"collection\", \"validation\", \"publication\"], | 16 | \"data_credit\": [\"collection\", \"validation\", \"publication\"], | ||
17 | \"email\": \"loewe@slf.ch\", \"given_name\": \"Henning\", | 17 | \"email\": \"loewe@slf.ch\", \"given_name\": \"Henning\", | ||
18 | \"identifier\": \"0000-0001-7515-6809\", \"name\": \"L\\u00f6we\"}]", | 18 | \"identifier\": \"0000-0001-7515-6809\", \"name\": \"L\\u00f6we\"}]", | ||
19 | "author_email": null, | 19 | "author_email": null, | ||
20 | "creator_user_id": "9e2320c8-b35f-42d9-8130-77506f51b41d", | 20 | "creator_user_id": "9e2320c8-b35f-42d9-8130-77506f51b41d", | ||
21 | "date": "[{\"date\": \"2022-08-03\", \"date_type\": \"collected\", | 21 | "date": "[{\"date\": \"2022-08-03\", \"date_type\": \"collected\", | ||
22 | \"end_date\": \"2022-08-03\"}]", | 22 | \"end_date\": \"2022-08-03\"}]", | ||
23 | "doi": "10.16904/envidat.361", | 23 | "doi": "10.16904/envidat.361", | ||
24 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL | 24 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL | ||
25 | Institute for Snow and Avalanche Research SLF\", \"institution_url\": | 25 | Institute for Snow and Avalanche Research SLF\", \"institution_url\": | ||
26 | \"\"}]", | 26 | \"\"}]", | ||
27 | "groups": [], | 27 | "groups": [], | ||
28 | "id": "f5163bdf-657d-43f8-a907-5a87e440f06a", | 28 | "id": "f5163bdf-657d-43f8-a907-5a87e440f06a", | ||
29 | "isopen": true, | 29 | "isopen": true, | ||
30 | "language": "en", | 30 | "language": "en", | ||
31 | "license_id": "CC0-1.0", | 31 | "license_id": "CC0-1.0", | ||
32 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | 32 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | ||
33 | 1.0)", | 33 | 1.0)", | ||
34 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | 34 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
35 | "maintainer": "{\"affiliation\": \"SLF\", \"email\": | 35 | "maintainer": "{\"affiliation\": \"SLF\", \"email\": | ||
36 | \"schneebeli@slf.ch\", \"given_name\": \"Martin\", \"identifier\": | 36 | \"schneebeli@slf.ch\", \"given_name\": \"Martin\", \"identifier\": | ||
37 | \"0000-0003-2872-4409\", \"name\": \"Schneebeli\"}", | 37 | \"0000-0003-2872-4409\", \"name\": \"Schneebeli\"}", | ||
38 | "maintainer_email": null, | 38 | "maintainer_email": null, | ||
39 | "metadata_created": "2022-08-03T11:29:50.029365", | 39 | "metadata_created": "2022-08-03T11:29:50.029365", | ||
n | 40 | "metadata_modified": "2022-12-23T14:15:15.486720", | n | 40 | "metadata_modified": "2023-01-05T09:51:55.811607", |
41 | "name": "3d_snow_models", | 41 | "name": "3d_snow_models", | ||
42 | "notes": "The dataset contains several snow models in the Standard | 42 | "notes": "The dataset contains several snow models in the Standard | ||
43 | Tesselated Geometry File Format (stl) for 3D visualization, printing | 43 | Tesselated Geometry File Format (stl) for 3D visualization, printing | ||
44 | and additive manufacturing. Different snow types are available (new | 44 | and additive manufacturing. Different snow types are available (new | ||
45 | snow, rounded snow, depth hoar, buried surface hoar, graupel).", | 45 | snow, rounded snow, depth hoar, buried surface hoar, graupel).", | ||
46 | "num_resources": 2, | 46 | "num_resources": 2, | ||
47 | "num_tags": 8, | 47 | "num_tags": 8, | ||
48 | "organization": { | 48 | "organization": { | ||
49 | "approval_status": "approved", | 49 | "approval_status": "approved", | ||
n | 50 | "created": "2016-05-24T16:15:21.861195", | n | 50 | "created": "2018-11-15T15:22:01.175490", |
51 | "description": "This research unit investigates the formation and | 51 | "description": "The Research Unit investigates the physical | ||
52 | dynamics of avalanches in order to improve the forecasting of when and | 52 | properties of snow and its exchange processes with the soil and | ||
53 | where avalanche events are likely to occur and their effects. It | 53 | atmosphere. The aim is to understand the formation of alpine natural | ||
54 | engages in process modelling based on laboratory experiments and field | 54 | hazards such as avalanches, floods and slope instabilities and of the | ||
55 | investigations.\r\n\r\nOn behalf of the government, it also operates | 55 | interactions between the cryosphere and climate change. To this end, | ||
56 | the Swiss avalanche warning service. The avalanche bulletin provides | 56 | the unit also studies the microstructure and metamorphism of | ||
57 | information concerning the current avalanche situation and warns the | 57 | snow.\r\n\r\nOur research is an essential basis for understanding the | ||
58 | public about the avalanche danger. The data underlying the service is | 58 | macro-level changes in the snowpack, as avalanche formation, water | ||
59 | delivered by an extensive network of observers and automatic measuring | 59 | transport in the snowpack and interactions of snow with vehicles and | ||
60 | stations. The avalanches and prevention unit develops warning and | 60 | sports equipment. This makes it possible to find out what role snow | ||
61 | information systems for public authorities and local emergency | 61 | and wet or frozen ground play in the formation of natural hazards, how | ||
62 | services.\r\n\r\nAmong other key duties, the unit provides advice on | 62 | they influence the Earth's climate and how global climate change | ||
63 | practical aspects of avalanche protection, and develops methods for | 63 | affects the permafrost formation.\r\n\r\nThe experiments in this unit | ||
64 | the risk-based management of natural hazards. The latest research and | 64 | take place in laboratories (cold labs, computer tomograph, wind | ||
65 | development findings are continuously being translated into practice | 65 | tunnel) and on test areas in the field. The results flow into the | ||
66 | and used in the unit's intensive teaching and training | 66 | development of numerical model systems that are applied in climate | ||
67 | activities.\r\n\r\nIt works closely together with other SLF research | 67 | analysis and natural hazard warning. We regularly supply snow | ||
68 | units and partners in Switzerland and abroad. These include national | 68 | hydrological analyses to the responsible offices at the Federal Office | ||
69 | and international research establishments, cantonal and federal | 69 | for the Environment (FOEN) to prevent and predict flood situations | ||
70 | authorities, as well as industry, associations, and agencies | 70 | during snowmelt.\r\n\r\nThe research unit works with partners within | ||
71 | responsible for public safety and tourism.", | 71 | WSL, with research institutions in cryosphere research, with partners | ||
72 | "id": "a17b145f-2191-4c21-aabf-55661d5cb140", | 72 | in the field of high-performance computing and model development, as | ||
73 | "image_url": "2016-05-24-141521.837240logoslf.png", | 73 | well as with warning and local safety services and industry.", | ||
74 | "id": "778b5188-b2d0-4632-b0c4-9b2e008dc7bd", | ||||
75 | "image_url": | ||||
76 | s://www.envidat.ch/uploads/group/2016-05-24-141521.837240logoslf.png", | ||||
74 | "is_organization": true, | 77 | "is_organization": true, | ||
n | 75 | "name": "slf-snow-avalanches-and-prevention", | n | 78 | "name": "snow-and-permafrost", |
76 | "state": "active", | 79 | "state": "active", | ||
n | 77 | "title": "Snow Avalanches and Prevention", | n | 80 | "title": "Snow and Atmosphere", |
78 | "type": "organization" | 81 | "type": "organization" | ||
79 | }, | 82 | }, | ||
t | 80 | "owner_org": "a17b145f-2191-4c21-aabf-55661d5cb140", | t | 83 | "owner_org": "778b5188-b2d0-4632-b0c4-9b2e008dc7bd", |
81 | "private": false, | 84 | "private": false, | ||
82 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 85 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
83 | \"EnviDat\"}", | 86 | \"EnviDat\"}", | ||
84 | "publication_state": "published", | 87 | "publication_state": "published", | ||
85 | "related_datasets": "", | 88 | "related_datasets": "", | ||
86 | "related_publications": "Heggli, M., Koechle, B., Matzl, M., Pinzer, | 89 | "related_publications": "Heggli, M., Koechle, B., Matzl, M., Pinzer, | ||
87 | B. R. R., Riche, F., Steiner, S., Steinfeld, D., Schneebeli, M., | 90 | B. R. R., Riche, F., Steiner, S., Steinfeld, D., Schneebeli, M., | ||
88 | K\u00f6chle, B., Matzl, M., Pinzer, B. R. R., Riche, F., Steiner, S., | 91 | K\u00f6chle, B., Matzl, M., Pinzer, B. R. R., Riche, F., Steiner, S., | ||
89 | Steinfeld, D., & Schneebeli, M. (2011). Measuring snow in 3-D using | 92 | Steinfeld, D., & Schneebeli, M. (2011). Measuring snow in 3-D using | ||
90 | X-ray tomography : assessment of visualization techniques. Annals of | 93 | X-ray tomography : assessment of visualization techniques. Annals of | ||
91 | Glaciology, 52(58), 231\u2013236. | 94 | Glaciology, 52(58), 231\u2013236. | ||
92 | https://doi.org/10.3189/172756411797252202", | 95 | https://doi.org/10.3189/172756411797252202", | ||
93 | "relationships_as_object": [], | 96 | "relationships_as_object": [], | ||
94 | "relationships_as_subject": [], | 97 | "relationships_as_subject": [], | ||
95 | "resource_type": "dataset", | 98 | "resource_type": "dataset", | ||
96 | "resource_type_general": "dataset", | 99 | "resource_type_general": "dataset", | ||
97 | "resources": [ | 100 | "resources": [ | ||
98 | { | 101 | { | ||
99 | "cache_last_updated": null, | 102 | "cache_last_updated": null, | ||
100 | "cache_url": null, | 103 | "cache_url": null, | ||
101 | "created": "2022-12-23T13:45:36.904910", | 104 | "created": "2022-12-23T13:45:36.904910", | ||
102 | "description": "This file contains information about the | 105 | "description": "This file contains information about the | ||
103 | stl-files of the different snow models. Snowtype (Schneeart), | 106 | stl-files of the different snow models. Snowtype (Schneeart), | ||
104 | International Snow Classification, preview picture, notes about the | 107 | International Snow Classification, preview picture, notes about the | ||
105 | origin of the snow, filename of the stl-data, and physical size of the | 108 | origin of the snow, filename of the stl-data, and physical size of the | ||
106 | model are given.", | 109 | model are given.", | ||
107 | "doi": "", | 110 | "doi": "", | ||
108 | "format": "XLSX", | 111 | "format": "XLSX", | ||
109 | "hash": "", | 112 | "hash": "", | ||
110 | "id": "2092babe-4033-4cd3-bacc-857bce65cbb1", | 113 | "id": "2092babe-4033-4cd3-bacc-857bce65cbb1", | ||
111 | "last_modified": null, | 114 | "last_modified": null, | ||
112 | "metadata_modified": "2022-12-23T13:45:36.878565", | 115 | "metadata_modified": "2022-12-23T13:45:36.878565", | ||
113 | "mimetype": null, | 116 | "mimetype": null, | ||
114 | "mimetype_inner": null, | 117 | "mimetype_inner": null, | ||
115 | "name": "Description of snowtypes, filenames and other | 118 | "name": "Description of snowtypes, filenames and other | ||
116 | metadata", | 119 | metadata", | ||
117 | "package_id": "f5163bdf-657d-43f8-a907-5a87e440f06a", | 120 | "package_id": "f5163bdf-657d-43f8-a907-5a87e440f06a", | ||
118 | "position": 0, | 121 | "position": 0, | ||
119 | "publication_state": "", | 122 | "publication_state": "", | ||
120 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 123 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
121 | \"kb\"}", | 124 | \"kb\"}", | ||
122 | "resource_type": null, | 125 | "resource_type": null, | ||
123 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | 126 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | ||
124 | \"shared_secret\": \"\"}", | 127 | \"shared_secret\": \"\"}", | ||
125 | "size": 2170683, | 128 | "size": 2170683, | ||
126 | "state": "active", | 129 | "state": "active", | ||
127 | "url": | 130 | "url": | ||
128 | be-4033-4cd3-bacc-857bce65cbb1/download/3d_snow_models_metadata.xlsx", | 131 | be-4033-4cd3-bacc-857bce65cbb1/download/3d_snow_models_metadata.xlsx", | ||
129 | "url_type": "upload" | 132 | "url_type": "upload" | ||
130 | }, | 133 | }, | ||
131 | { | 134 | { | ||
132 | "cache_last_updated": null, | 135 | "cache_last_updated": null, | ||
133 | "cache_url": null, | 136 | "cache_url": null, | ||
134 | "created": "2022-12-23T13:48:01.822052", | 137 | "created": "2022-12-23T13:48:01.822052", | ||
135 | "description": "The zipped file contains all data described in | 138 | "description": "The zipped file contains all data described in | ||
136 | the file 3d_snow_models_metadata. The stl-files should be ready for | 139 | the file 3d_snow_models_metadata. The stl-files should be ready for | ||
137 | additive manufacturing.", | 140 | additive manufacturing.", | ||
138 | "doi": "", | 141 | "doi": "", | ||
139 | "format": "ZIP", | 142 | "format": "ZIP", | ||
140 | "hash": "", | 143 | "hash": "", | ||
141 | "id": "59fbf858-ae63-4067-9c51-4cd21817e22c", | 144 | "id": "59fbf858-ae63-4067-9c51-4cd21817e22c", | ||
142 | "last_modified": "2022-12-23T14:49:25.255176", | 145 | "last_modified": "2022-12-23T14:49:25.255176", | ||
143 | "metadata_modified": "2022-12-23T13:49:25.857882", | 146 | "metadata_modified": "2022-12-23T13:49:25.857882", | ||
144 | "mimetype": null, | 147 | "mimetype": null, | ||
145 | "mimetype_inner": null, | 148 | "mimetype_inner": null, | ||
146 | "name": "Snow models in STL-format", | 149 | "name": "Snow models in STL-format", | ||
147 | "package_id": "f5163bdf-657d-43f8-a907-5a87e440f06a", | 150 | "package_id": "f5163bdf-657d-43f8-a907-5a87e440f06a", | ||
148 | "position": 1, | 151 | "position": 1, | ||
149 | "publication_state": "", | 152 | "publication_state": "", | ||
150 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 153 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
151 | \"kb\"}", | 154 | \"kb\"}", | ||
152 | "resource_type": null, | 155 | "resource_type": null, | ||
153 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | 156 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | ||
154 | \"shared_secret\": \"\"}", | 157 | \"shared_secret\": \"\"}", | ||
155 | "size": 382570967, | 158 | "size": 382570967, | ||
156 | "state": "active", | 159 | "state": "active", | ||
157 | "url": | 160 | "url": | ||
158 | source/59fbf858-ae63-4067-9c51-4cd21817e22c/download/3d_snow_stl.zip", | 161 | source/59fbf858-ae63-4067-9c51-4cd21817e22c/download/3d_snow_stl.zip", | ||
159 | "url_type": "upload" | 162 | "url_type": "upload" | ||
160 | } | 163 | } | ||
161 | ], | 164 | ], | ||
162 | "spatial": | 165 | "spatial": | ||
163 | e\":\"Point\",\"coordinates\":[9.847183227539062,46.81462873466413]}", | 166 | e\":\"Point\",\"coordinates\":[9.847183227539062,46.81462873466413]}", | ||
164 | "spatial_info": "Switzerland", | 167 | "spatial_info": "Switzerland", | ||
165 | "state": "active", | 168 | "state": "active", | ||
166 | "subtitle": "", | 169 | "subtitle": "", | ||
167 | "tags": [ | 170 | "tags": [ | ||
168 | { | 171 | { | ||
169 | "display_name": "3D MODEL", | 172 | "display_name": "3D MODEL", | ||
170 | "id": "0667f0be-0c8e-426e-8dcd-846f1004a7bc", | 173 | "id": "0667f0be-0c8e-426e-8dcd-846f1004a7bc", | ||
171 | "name": "3D MODEL", | 174 | "name": "3D MODEL", | ||
172 | "state": "active", | 175 | "state": "active", | ||
173 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
174 | }, | 177 | }, | ||
175 | { | 178 | { | ||
176 | "display_name": "3D PRINT", | 179 | "display_name": "3D PRINT", | ||
177 | "id": "6337188d-c502-4f8b-beb4-8b65d830c8c4", | 180 | "id": "6337188d-c502-4f8b-beb4-8b65d830c8c4", | ||
178 | "name": "3D PRINT", | 181 | "name": "3D PRINT", | ||
179 | "state": "active", | 182 | "state": "active", | ||
180 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
181 | }, | 184 | }, | ||
182 | { | 185 | { | ||
183 | "display_name": "DEPTH HOAR", | 186 | "display_name": "DEPTH HOAR", | ||
184 | "id": "f924b091-2fc7-430b-9bbb-847c61c4f3fd", | 187 | "id": "f924b091-2fc7-430b-9bbb-847c61c4f3fd", | ||
185 | "name": "DEPTH HOAR", | 188 | "name": "DEPTH HOAR", | ||
186 | "state": "active", | 189 | "state": "active", | ||
187 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
188 | }, | 191 | }, | ||
189 | { | 192 | { | ||
190 | "display_name": "NEW SNOW", | 193 | "display_name": "NEW SNOW", | ||
191 | "id": "ebebaf63-35d6-4922-9776-d3da7eeb1938", | 194 | "id": "ebebaf63-35d6-4922-9776-d3da7eeb1938", | ||
192 | "name": "NEW SNOW", | 195 | "name": "NEW SNOW", | ||
193 | "state": "active", | 196 | "state": "active", | ||
194 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
195 | }, | 198 | }, | ||
196 | { | 199 | { | ||
197 | "display_name": "ROUNDED SNOW", | 200 | "display_name": "ROUNDED SNOW", | ||
198 | "id": "4b8054e4-fb6f-4c02-b260-e254bd0dbaad", | 201 | "id": "4b8054e4-fb6f-4c02-b260-e254bd0dbaad", | ||
199 | "name": "ROUNDED SNOW", | 202 | "name": "ROUNDED SNOW", | ||
200 | "state": "active", | 203 | "state": "active", | ||
201 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
202 | }, | 205 | }, | ||
203 | { | 206 | { | ||
204 | "display_name": "SNOW", | 207 | "display_name": "SNOW", | ||
205 | "id": "c4e9ea3f-6149-45ce-8631-c872b96a9537", | 208 | "id": "c4e9ea3f-6149-45ce-8631-c872b96a9537", | ||
206 | "name": "SNOW", | 209 | "name": "SNOW", | ||
207 | "state": "active", | 210 | "state": "active", | ||
208 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
209 | }, | 212 | }, | ||
210 | { | 213 | { | ||
211 | "display_name": "SNOW CAST", | 214 | "display_name": "SNOW CAST", | ||
212 | "id": "0181692f-b96c-4afc-9949-0d70344c40a2", | 215 | "id": "0181692f-b96c-4afc-9949-0d70344c40a2", | ||
213 | "name": "SNOW CAST", | 216 | "name": "SNOW CAST", | ||
214 | "state": "active", | 217 | "state": "active", | ||
215 | "vocabulary_id": null | 218 | "vocabulary_id": null | ||
216 | }, | 219 | }, | ||
217 | { | 220 | { | ||
218 | "display_name": "WEAK LAYER", | 221 | "display_name": "WEAK LAYER", | ||
219 | "id": "f90a25b6-fbe6-4bcc-91a3-709775a585a7", | 222 | "id": "f90a25b6-fbe6-4bcc-91a3-709775a585a7", | ||
220 | "name": "WEAK LAYER", | 223 | "name": "WEAK LAYER", | ||
221 | "state": "active", | 224 | "state": "active", | ||
222 | "vocabulary_id": null | 225 | "vocabulary_id": null | ||
223 | } | 226 | } | ||
224 | ], | 227 | ], | ||
225 | "title": "3D_Snow_Models", | 228 | "title": "3D_Snow_Models", | ||
226 | "type": "dataset", | 229 | "type": "dataset", | ||
227 | "url": null, | 230 | "url": null, | ||
228 | "version": "4.0" | 231 | "version": "4.0" | ||
229 | } | 232 | } |