Changes
On April 28, 2023 at 6:31:16 AM UTC, Administrator:
-
Changed value of field
publication_state
toapproved
in SWE2HS model calibration and validation data
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"SLF\", | 2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"SLF\", | ||
3 | \"affiliation_03\": \"\", \"data_credit\": [\"validation\", | 3 | \"affiliation_03\": \"\", \"data_credit\": [\"validation\", | ||
4 | \"curation\", \"software\", \"publication\"], \"email\": | 4 | \"curation\", \"software\", \"publication\"], \"email\": | ||
5 | \"johannes.aschauer@slf.ch\", \"given_name\": \"Johannes\", | 5 | \"johannes.aschauer@slf.ch\", \"given_name\": \"Johannes\", | ||
6 | \"identifier\": \"0000-0002-2605-8003\", \"name\": \"Aschauer\"}, | 6 | \"identifier\": \"0000-0002-2605-8003\", \"name\": \"Aschauer\"}, | ||
7 | {\"affiliation\": \"WSL Institute for Snow and Avanche Research SLF\", | 7 | {\"affiliation\": \"WSL Institute for Snow and Avanche Research SLF\", | ||
8 | \"affiliation_02\": \"SLF\", \"affiliation_03\": \"\", | 8 | \"affiliation_02\": \"SLF\", \"affiliation_03\": \"\", | ||
9 | \"data_credit\": [\"collection\", \"supervision\"], \"email\": | 9 | \"data_credit\": [\"collection\", \"supervision\"], \"email\": | ||
10 | \"marty@slf.ch\", \"given_name\": \"Christoph\", \"identifier\": | 10 | \"marty@slf.ch\", \"given_name\": \"Christoph\", \"identifier\": | ||
11 | \"0000-0002-0398-6253\", \"name\": \"Marty\"}]", | 11 | \"0000-0002-0398-6253\", \"name\": \"Marty\"}]", | ||
12 | "author_email": null, | 12 | "author_email": null, | ||
13 | "creator_user_id": "65d624be-f238-40ca-bdbc-69cc34decab0", | 13 | "creator_user_id": "65d624be-f238-40ca-bdbc-69cc34decab0", | ||
14 | "date": "[{\"date\": \"2023-04-27\", \"date_type\": \"collected\", | 14 | "date": "[{\"date\": \"2023-04-27\", \"date_type\": \"collected\", | ||
15 | \"end_date\": \"\"}]", | 15 | \"end_date\": \"\"}]", | ||
16 | "doi": "10.16904/envidat.394", | 16 | "doi": "10.16904/envidat.394", | ||
17 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Swiss | 17 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Swiss | ||
18 | Federal Institute for Forest Snow and Landscape Research WSL\", | 18 | Federal Institute for Forest Snow and Landscape Research WSL\", | ||
19 | \"institution_url\": \"\"}]", | 19 | \"institution_url\": \"\"}]", | ||
20 | "groups": [], | 20 | "groups": [], | ||
21 | "id": "e1758773-8065-42ef-bdce-d7bfba6d19da", | 21 | "id": "e1758773-8065-42ef-bdce-d7bfba6d19da", | ||
22 | "isopen": true, | 22 | "isopen": true, | ||
23 | "language": "en", | 23 | "language": "en", | ||
24 | "license_id": "cc-by-sa", | 24 | "license_id": "cc-by-sa", | ||
25 | "license_title": "Creative Commons Attribution Share-Alike | 25 | "license_title": "Creative Commons Attribution Share-Alike | ||
26 | (CC-BY-SA)", | 26 | (CC-BY-SA)", | ||
27 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | 27 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | ||
28 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | 28 | "maintainer": "{\"affiliation\": \"WSL Institute for Snow and | ||
29 | Avanche Research SLF\", \"email\": \"marty@slf.ch\", \"given_name\": | 29 | Avanche Research SLF\", \"email\": \"marty@slf.ch\", \"given_name\": | ||
30 | \"Christoph\", \"identifier\": \"0000-0002-0398-6253\", \"name\": | 30 | \"Christoph\", \"identifier\": \"0000-0002-0398-6253\", \"name\": | ||
31 | \"Marty\"}", | 31 | \"Marty\"}", | ||
32 | "maintainer_email": null, | 32 | "maintainer_email": null, | ||
33 | "metadata_created": "2023-04-27T17:19:57.569624", | 33 | "metadata_created": "2023-04-27T17:19:57.569624", | ||
n | 34 | "metadata_modified": "2023-04-27T17:39:44.249702", | n | 34 | "metadata_modified": "2023-04-28T06:31:16.514835", |
35 | "name": "swe2hs-calibration-and-validation-data", | 35 | "name": "swe2hs-calibration-and-validation-data", | ||
36 | "notes": "The data in this repository was used for the calibration | 36 | "notes": "The data in this repository was used for the calibration | ||
37 | and validation of the \nSWE2HS model in the following | 37 | and validation of the \nSWE2HS model in the following | ||
38 | publication:\n\nAschauer, J., Michel, A., Jonas, T., & Marty, C. | 38 | publication:\n\nAschauer, J., Michel, A., Jonas, T., & Marty, C. | ||
39 | (2023). An empirical model to calculate snow depth from daily snow | 39 | (2023). An empirical model to calculate snow depth from daily snow | ||
40 | water equivalent: SWE2HS 1.0. Geoscientific Model Development | 40 | water equivalent: SWE2HS 1.0. Geoscientific Model Development | ||
41 | Discussions, 1-19. https://doi.org/10.5194/gmd-2022-258\n\nContains | 41 | Discussions, 1-19. https://doi.org/10.5194/gmd-2022-258\n\nContains | ||
42 | daily snow water equivalent and snow depth timeseries from stations in | 42 | daily snow water equivalent and snow depth timeseries from stations in | ||
43 | the European Alps.\n", | 43 | the European Alps.\n", | ||
44 | "num_resources": 1, | 44 | "num_resources": 1, | ||
45 | "num_tags": 5, | 45 | "num_tags": 5, | ||
46 | "organization": { | 46 | "organization": { | ||
47 | "approval_status": "approved", | 47 | "approval_status": "approved", | ||
48 | "created": "2018-11-15T15:29:17.561586", | 48 | "created": "2018-11-15T15:29:17.561586", | ||
49 | "description": "The meteorological conditions governing winter | 49 | "description": "The meteorological conditions governing winter | ||
50 | sports are influenced by both the natural variability of the climate | 50 | sports are influenced by both the natural variability of the climate | ||
51 | and the climatic changes induced by mankind. We need data and models | 51 | and the climatic changes induced by mankind. We need data and models | ||
52 | in order to visualise the current and future snow situation, and to | 52 | in order to visualise the current and future snow situation, and to | ||
53 | show the potential of possible intervention strategies. For this | 53 | show the potential of possible intervention strategies. For this | ||
54 | reason, the group\u2019s principal fields of activity encompass snow | 54 | reason, the group\u2019s principal fields of activity encompass snow | ||
55 | management, including piste preparation and snow farming, snowpack | 55 | management, including piste preparation and snow farming, snowpack | ||
56 | modelling (SNOWPACK and A3D), as well as snow climatological analyses | 56 | modelling (SNOWPACK and A3D), as well as snow climatological analyses | ||
57 | and scenarios.", | 57 | and scenarios.", | ||
58 | "id": "72a2ca75-fa5c-411c-bfa9-1edbbbede2ae", | 58 | "id": "72a2ca75-fa5c-411c-bfa9-1edbbbede2ae", | ||
59 | "image_url": | 59 | "image_url": | ||
60 | s://www.envidat.ch/uploads/group/2016-05-24-141521.837240logoslf.png", | 60 | s://www.envidat.ch/uploads/group/2016-05-24-141521.837240logoslf.png", | ||
61 | "is_organization": true, | 61 | "is_organization": true, | ||
62 | "name": "snow-sports", | 62 | "name": "snow-sports", | ||
63 | "state": "active", | 63 | "state": "active", | ||
64 | "title": "Winter Sports and Climate", | 64 | "title": "Winter Sports and Climate", | ||
65 | "type": "organization" | 65 | "type": "organization" | ||
66 | }, | 66 | }, | ||
67 | "owner_org": "72a2ca75-fa5c-411c-bfa9-1edbbbede2ae", | 67 | "owner_org": "72a2ca75-fa5c-411c-bfa9-1edbbbede2ae", | ||
68 | "private": false, | 68 | "private": false, | ||
69 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | 69 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | ||
70 | \"EnviDat\"}", | 70 | \"EnviDat\"}", | ||
t | 71 | "publication_state": "pub_pending", | t | 71 | "publication_state": "approved", |
72 | "related_datasets": "* | 72 | "related_datasets": "* | ||
73 | https://envidat.ch/#/metadata/gcos-swe-data\n", | 73 | https://envidat.ch/#/metadata/gcos-swe-data\n", | ||
74 | "related_publications": "", | 74 | "related_publications": "", | ||
75 | "relationships_as_object": [], | 75 | "relationships_as_object": [], | ||
76 | "relationships_as_subject": [], | 76 | "relationships_as_subject": [], | ||
77 | "resource_type": "datapaper", | 77 | "resource_type": "datapaper", | ||
78 | "resource_type_general": "datapaper", | 78 | "resource_type_general": "datapaper", | ||
79 | "resources": [ | 79 | "resources": [ | ||
80 | { | 80 | { | ||
81 | "cache_last_updated": null, | 81 | "cache_last_updated": null, | ||
82 | "cache_url": null, | 82 | "cache_url": null, | ||
83 | "created": "2023-04-27T17:25:19.732861", | 83 | "created": "2023-04-27T17:25:19.732861", | ||
84 | "description": "# Contents of this archive\r\n\r\n## | 84 | "description": "# Contents of this archive\r\n\r\n## | ||
85 | README.md\r\n\r\n A readme file containing a description of the other | 85 | README.md\r\n\r\n A readme file containing a description of the other | ||
86 | files.\r\n\r\n## automatic_stations_validation_data.csv\r\n\r\n Daily | 86 | files.\r\n\r\n## automatic_stations_validation_data.csv\r\n\r\n Daily | ||
87 | data from the automatic weather stations used for validation.\r\n\r\n | 87 | data from the automatic weather stations used for validation.\r\n\r\n | ||
88 | Data sources and providers are listed in the SWE2HS paper, Table | 88 | Data sources and providers are listed in the SWE2HS paper, Table | ||
89 | 1.\r\n\r\n Columns:\r\n\r\n * date: timestamp of the format | 89 | 1.\r\n\r\n Columns:\r\n\r\n * date: timestamp of the format | ||
90 | YYYY-MM-DD\r\n * HS_[m]: snow depth in [m]\r\n * SWE_[m]: snow | 90 | YYYY-MM-DD\r\n * HS_[m]: snow depth in [m]\r\n * SWE_[m]: snow | ||
91 | water equivalent in [m]\r\n * site_id: code for the measurement | 91 | water equivalent in [m]\r\n * site_id: code for the measurement | ||
92 | site\r\n - HS_interpolated: boolean flag for interpolated | 92 | site\r\n - HS_interpolated: boolean flag for interpolated | ||
93 | values\r\n - SWE_interpolated: : boolean flag for interpolated | 93 | values\r\n - SWE_interpolated: : boolean flag for interpolated | ||
94 | values\r\n\r\n## coordinates_swe2hs_paper_stations.csv\r\n\r\n | 94 | values\r\n\r\n## coordinates_swe2hs_paper_stations.csv\r\n\r\n | ||
95 | Coordinates of all measurement sites used in the SWE2HS paper.\r\n\r\n | 95 | Coordinates of all measurement sites used in the SWE2HS paper.\r\n\r\n | ||
96 | Columns:\r\n\r\n * site_id: code for the measurement site\r\n * | 96 | Columns:\r\n\r\n * site_id: code for the measurement site\r\n * | ||
97 | location_name: location name of the measurement site\r\n * | 97 | location_name: location name of the measurement site\r\n * | ||
98 | lon_[wgs84]: longitude in WGS84\r\n * lat_[wgs84]: latitude in | 98 | lon_[wgs84]: longitude in WGS84\r\n * lat_[wgs84]: latitude in | ||
99 | WGS84\r\n * elevation_[m]: atitude of the measurement site in | 99 | WGS84\r\n * elevation_[m]: atitude of the measurement site in | ||
100 | [m]\r\n * dataset: dataset in which the station is | 100 | [m]\r\n * dataset: dataset in which the station is | ||
101 | included\r\n\r\n## manual_station_calibration_data.csv\r\n\r\n | 101 | included\r\n\r\n## manual_station_calibration_data.csv\r\n\r\n | ||
102 | Calibration data from the Swiss manual observer stations. Long station | 102 | Calibration data from the Swiss manual observer stations. Long station | ||
103 | records\r\n trmmed to 15 random water-years.\r\n\r\n | 103 | records\r\n trmmed to 15 random water-years.\r\n\r\n | ||
104 | Columns:\r\n\r\n * date: timestamp of the format YYYY-MM-DD\r\n | 104 | Columns:\r\n\r\n * date: timestamp of the format YYYY-MM-DD\r\n | ||
105 | * HS_[m]: snow depth in [m]\r\n * SWE_[m]: snow water equivalent in | 105 | * HS_[m]: snow depth in [m]\r\n * SWE_[m]: snow water equivalent in | ||
106 | [m]\r\n * SWE_from_profile_[m]: biweekly measurement from the SWE | 106 | [m]\r\n * SWE_from_profile_[m]: biweekly measurement from the SWE | ||
107 | in the measurement \r\n pit. Corrected with the bulk density in | 107 | in the measurement \r\n pit. Corrected with the bulk density in | ||
108 | order to match the snow depth from \r\n the measurement stake. | 108 | order to match the snow depth from \r\n the measurement stake. | ||
109 | Please refer to the paper for further details.\r\n * site_id: code | 109 | Please refer to the paper for further details.\r\n * site_id: code | ||
110 | for the measurement site\r\n\r\n## | 110 | for the measurement site\r\n\r\n## | ||
111 | manual_stations_validation_data.csv\r\n\r\n Validation data from the | 111 | manual_stations_validation_data.csv\r\n\r\n Validation data from the | ||
112 | Swiss manual observer stations. Remaining water-years\r\n from the | 112 | Swiss manual observer stations. Remaining water-years\r\n from the | ||
113 | long sttaion record not used for the calibration data.\r\n\r\n | 113 | long sttaion record not used for the calibration data.\r\n\r\n | ||
114 | Columns:\r\n\r\n * date: timestamp of the format YYYY-MM-DD\r\n | 114 | Columns:\r\n\r\n * date: timestamp of the format YYYY-MM-DD\r\n | ||
115 | * HS_[m]: snow depth in [m]\r\n * SWE_[m]: snow water equivalent in | 115 | * HS_[m]: snow depth in [m]\r\n * SWE_[m]: snow water equivalent in | ||
116 | [m]\r\n * SWE_from_profile_[m]: biweekly measurement from the SWE | 116 | [m]\r\n * SWE_from_profile_[m]: biweekly measurement from the SWE | ||
117 | in the measurement \r\n pit. Corrected with the bulk density in | 117 | in the measurement \r\n pit. Corrected with the bulk density in | ||
118 | order to match the snow depth from \r\n the measurement stake. | 118 | order to match the snow depth from \r\n the measurement stake. | ||
119 | Please refer to the paper for further details.\r\n * site_id: code | 119 | Please refer to the paper for further details.\r\n * site_id: code | ||
120 | for the measurement site\r\n\r\n## | 120 | for the measurement site\r\n\r\n## | ||
121 | manual_stations_used_deltasnow_parameters.csv\r\n\r\n Site specific | 121 | manual_stations_used_deltasnow_parameters.csv\r\n\r\n Site specific | ||
122 | DeltaSNOW model parameters used for the calculation of the daily \r\n | 122 | DeltaSNOW model parameters used for the calculation of the daily \r\n | ||
123 | SWE series in 'manual_stations_calibration_data.csv' and \r\n | 123 | SWE series in 'manual_stations_calibration_data.csv' and \r\n | ||
124 | 'manual_stations_validation_data.csv'.\r\n\r\n Parameters were | 124 | 'manual_stations_validation_data.csv'.\r\n\r\n Parameters were | ||
125 | optimized by reducing RMSE to the biweekly snow pit SWE measurements. | 125 | optimized by reducing RMSE to the biweekly snow pit SWE measurements. | ||
126 | \r\n Please refer to the paper for further details.\r\n\r\n A python | 126 | \r\n Please refer to the paper for further details.\r\n\r\n A python | ||
127 | implementation of the DeltaSNOW model was used for the | 127 | implementation of the DeltaSNOW model was used for the | ||
128 | calculation:\r\n pydeltasnow | 128 | calculation:\r\n pydeltasnow | ||
129 | (https://pypi.org/project/pydeltasnow/)\r\n\r\n For a detailed | 129 | (https://pypi.org/project/pydeltasnow/)\r\n\r\n For a detailed | ||
130 | description of the DeltaSNOW model parameters please see the \r\n | 130 | description of the DeltaSNOW model parameters please see the \r\n | ||
131 | respective publication:\r\n\r\n Winkler, M., Schellander, H., & | 131 | respective publication:\r\n\r\n Winkler, M., Schellander, H., & | ||
132 | Gruber, S. (2021). Snow water equivalents \r\n exclusively from snow | 132 | Gruber, S. (2021). Snow water equivalents \r\n exclusively from snow | ||
133 | depths and their temporal changes: the \u0394 snow model. \r\n | 133 | depths and their temporal changes: the \u0394 snow model. \r\n | ||
134 | Hydrology and Earth System Sciences, 25(3), 1165-1187.\r\n\r\n | 134 | Hydrology and Earth System Sciences, 25(3), 1165-1187.\r\n\r\n | ||
135 | Columns:\r\n\r\n * site_id: code for the measurement site\r\n * | 135 | Columns:\r\n\r\n * site_id: code for the measurement site\r\n * | ||
136 | rho_max: Maximum density of an individual snow layer produced by the | 136 | rho_max: Maximum density of an individual snow layer produced by the | ||
137 | DeltaSNOW model in [kg/m3]\r\n * rho_null: Fresh snow density for a | 137 | DeltaSNOW model in [kg/m3]\r\n * rho_null: Fresh snow density for a | ||
138 | newly created layer [kg/m3\r\n * c_ov: Overburden factor due to | 138 | newly created layer [kg/m3\r\n * c_ov: Overburden factor due to | ||
139 | fresh snow [-]\r\n * k_ov: Defines the impact of the individual | 139 | fresh snow [-]\r\n * k_ov: Defines the impact of the individual | ||
140 | layer density on the compaction due to overburden [-]\r\n * k: | 140 | layer density on the compaction due to overburden [-]\r\n * k: | ||
141 | Exponent of the exponential-law compaction [m3/kg]\r\n * tau: | 141 | Exponent of the exponential-law compaction [m3/kg]\r\n * tau: | ||
142 | Uncertainty bound [m]\r\n * eta_null: Effective compactive | 142 | Uncertainty bound [m]\r\n * eta_null: Effective compactive | ||
143 | viscosity of snow for \u201czero-density\u201d [Pa s]\r\n", | 143 | viscosity of snow for \u201czero-density\u201d [Pa s]\r\n", | ||
144 | "doi": "", | 144 | "doi": "", | ||
145 | "format": "zip-compressed folder of csv", | 145 | "format": "zip-compressed folder of csv", | ||
146 | "hash": "", | 146 | "hash": "", | ||
147 | "id": "780cd0c3-1478-443a-ba17-af1daba34f9d", | 147 | "id": "780cd0c3-1478-443a-ba17-af1daba34f9d", | ||
148 | "last_modified": "2023-04-27T17:25:21.967311", | 148 | "last_modified": "2023-04-27T17:25:21.967311", | ||
149 | "metadata_modified": "2023-04-27T17:34:01.919267", | 149 | "metadata_modified": "2023-04-27T17:34:01.919267", | ||
150 | "mimetype": null, | 150 | "mimetype": null, | ||
151 | "mimetype_inner": null, | 151 | "mimetype_inner": null, | ||
152 | "name": "swe2hs calibration and validation data", | 152 | "name": "swe2hs calibration and validation data", | ||
153 | "package_id": "e1758773-8065-42ef-bdce-d7bfba6d19da", | 153 | "package_id": "e1758773-8065-42ef-bdce-d7bfba6d19da", | ||
154 | "position": 0, | 154 | "position": 0, | ||
155 | "publication_state": "", | 155 | "publication_state": "", | ||
156 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 156 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
157 | \"\"}", | 157 | \"\"}", | ||
158 | "resource_type": null, | 158 | "resource_type": null, | ||
159 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 159 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
160 | \"shared_secret\": \"\"}", | 160 | \"shared_secret\": \"\"}", | ||
161 | "size": 2418117, | 161 | "size": 2418117, | ||
162 | "state": "active", | 162 | "state": "active", | ||
163 | "url": | 163 | "url": | ||
164 | a17-af1daba34f9d/download/swe2hs_calibration_and_validation_data.zip", | 164 | a17-af1daba34f9d/download/swe2hs_calibration_and_validation_data.zip", | ||
165 | "url_type": "upload" | 165 | "url_type": "upload" | ||
166 | } | 166 | } | ||
167 | ], | 167 | ], | ||
168 | "spatial": | 168 | "spatial": | ||
169 | 80224609375,44.97904748711103],[5.372314453125,44.97904748711103]]]}", | 169 | 80224609375,44.97904748711103],[5.372314453125,44.97904748711103]]]}", | ||
170 | "spatial_info": "European Alps", | 170 | "spatial_info": "European Alps", | ||
171 | "state": "active", | 171 | "state": "active", | ||
172 | "subtitle": "", | 172 | "subtitle": "", | ||
173 | "tags": [ | 173 | "tags": [ | ||
174 | { | 174 | { | ||
175 | "display_name": "MODEL CALIBRATION DATA", | 175 | "display_name": "MODEL CALIBRATION DATA", | ||
176 | "id": "c0b23911-a55b-4c60-be8b-fa128b7ae556", | 176 | "id": "c0b23911-a55b-4c60-be8b-fa128b7ae556", | ||
177 | "name": "MODEL CALIBRATION DATA", | 177 | "name": "MODEL CALIBRATION DATA", | ||
178 | "state": "active", | 178 | "state": "active", | ||
179 | "vocabulary_id": null | 179 | "vocabulary_id": null | ||
180 | }, | 180 | }, | ||
181 | { | 181 | { | ||
182 | "display_name": "MODEL VALIDATION DATA", | 182 | "display_name": "MODEL VALIDATION DATA", | ||
183 | "id": "63915f54-f708-4907-9bd0-c94a29d743c6", | 183 | "id": "63915f54-f708-4907-9bd0-c94a29d743c6", | ||
184 | "name": "MODEL VALIDATION DATA", | 184 | "name": "MODEL VALIDATION DATA", | ||
185 | "state": "active", | 185 | "state": "active", | ||
186 | "vocabulary_id": null | 186 | "vocabulary_id": null | ||
187 | }, | 187 | }, | ||
188 | { | 188 | { | ||
189 | "display_name": "SNOW DENSITY", | 189 | "display_name": "SNOW DENSITY", | ||
190 | "id": "751c7861-0337-44f6-b92f-04cdca6784b6", | 190 | "id": "751c7861-0337-44f6-b92f-04cdca6784b6", | ||
191 | "name": "SNOW DENSITY", | 191 | "name": "SNOW DENSITY", | ||
192 | "state": "active", | 192 | "state": "active", | ||
193 | "vocabulary_id": null | 193 | "vocabulary_id": null | ||
194 | }, | 194 | }, | ||
195 | { | 195 | { | ||
196 | "display_name": "SNOW DEPTH", | 196 | "display_name": "SNOW DEPTH", | ||
197 | "id": "1ef9bd4a-0ba0-419e-90dd-c882a9314029", | 197 | "id": "1ef9bd4a-0ba0-419e-90dd-c882a9314029", | ||
198 | "name": "SNOW DEPTH", | 198 | "name": "SNOW DEPTH", | ||
199 | "state": "active", | 199 | "state": "active", | ||
200 | "vocabulary_id": null | 200 | "vocabulary_id": null | ||
201 | }, | 201 | }, | ||
202 | { | 202 | { | ||
203 | "display_name": "SNOW WATER EQUIVALENT", | 203 | "display_name": "SNOW WATER EQUIVALENT", | ||
204 | "id": "87ab10f7-3e04-47ef-9159-830c167c0699", | 204 | "id": "87ab10f7-3e04-47ef-9159-830c167c0699", | ||
205 | "name": "SNOW WATER EQUIVALENT", | 205 | "name": "SNOW WATER EQUIVALENT", | ||
206 | "state": "active", | 206 | "state": "active", | ||
207 | "vocabulary_id": null | 207 | "vocabulary_id": null | ||
208 | } | 208 | } | ||
209 | ], | 209 | ], | ||
210 | "title": "SWE2HS model calibration and validation data", | 210 | "title": "SWE2HS model calibration and validation data", | ||
211 | "type": "dataset", | 211 | "type": "dataset", | ||
212 | "url": null, | 212 | "url": null, | ||
213 | "version": "1.0" | 213 | "version": "1.0" | ||
214 | } | 214 | } |