Changes
On May 21, 2024 at 12:08:16 PM UTC, Administrator:
-
Set author of Turbulence in The Strongly Heterogeneous Near-Surface Boundary Layer over Patchy Snow to [{"affiliation": "SLF", "affiliation_02": "", "affiliation_03": "", "email": "michael.haugeneder@slf.ch", "given_name": "Michael", "identifier": "0000-0003-3228-9868", "name": "Haugeneder"}, {"affiliation": "SLF", "affiliation_02": "", "affiliation_03": "", "email": "lehning@slf.ch", "given_name": "Michael", "identifier": "0000-0002-8442-0875", "name": "Lehning"}, {"affiliation": "SLF", "affiliation_02": "", "affiliation_03": "", "email": "mott@slf.ch", "given_name": "Rebecca", "identifier": "", "name": "Mott"}] (previously [{"given_name": "Michael", "name": "Haugeneder", "email": "michael.haugeneder@slf.ch", "data_credit": [], "identifier": "0000-0003-3228-9868", "affiliation": "SLF"}, {"given_name": "Michael", "name": "Lehning", "email": "lehning@slf.ch", "data_credit": [], "identifier": "0000-0002-8442-0875", "affiliation": "SLF"}, {"given_name": "Rebecca", "name": "Mott", "email": "mott@slf.ch", "data_credit": [], "identifier": "", "affiliation": "SLF"}])
-
Updated description of Turbulence in The Strongly Heterogeneous Near-Surface Boundary Layer over Patchy Snow from
Data and code for the publication. The data is raw data. Processed data can be obtained upon request.
toEnviDat Admin message: this dataset is being recreated, please have patience. Data and code for the publication. The data is raw data. Processed data can be obtained upon request.
f | 1 | { | f | 1 | { |
n | 2 | "author": "[{\"given_name\": \"Michael\", \"name\": \"Haugeneder\", | n | 2 | "author": "[{\"affiliation\": \"SLF\", \"affiliation_02\": \"\", |
3 | \"email\": \"michael.haugeneder@slf.ch\", \"data_credit\": [], | 3 | \"affiliation_03\": \"\", \"email\": \"michael.haugeneder@slf.ch\", | ||
4 | \"identifier\": \"0000-0003-3228-9868\", \"affiliation\": \"SLF\"}, | 4 | \"given_name\": \"Michael\", \"identifier\": \"0000-0003-3228-9868\", | ||
5 | {\"given_name\": \"Michael\", \"name\": \"Lehning\", \"email\": | 5 | \"name\": \"Haugeneder\"}, {\"affiliation\": \"SLF\", | ||
6 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"email\": | ||||
6 | \"lehning@slf.ch\", \"data_credit\": [], \"identifier\": | 7 | \"lehning@slf.ch\", \"given_name\": \"Michael\", \"identifier\": | ||
7 | \"0000-0002-8442-0875\", \"affiliation\": \"SLF\"}, {\"given_name\": | 8 | \"0000-0002-8442-0875\", \"name\": \"Lehning\"}, {\"affiliation\": | ||
8 | \"Rebecca\", \"name\": \"Mott\", \"email\": \"mott@slf.ch\", | 9 | \"SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
9 | \"data_credit\": [], \"identifier\": \"\", \"affiliation\": | 10 | \"email\": \"mott@slf.ch\", \"given_name\": \"Rebecca\", | ||
10 | \"SLF\"}]", | 11 | \"identifier\": \"\", \"name\": \"Mott\"}]", | ||
11 | "author_email": null, | 12 | "author_email": null, | ||
12 | "creator_user_id": "ebd22060-c56d-419b-a56e-9e171f19e7e5", | 13 | "creator_user_id": "ebd22060-c56d-419b-a56e-9e171f19e7e5", | ||
13 | "date": "[{\"date\": \"2021-05-21\", \"date_type\": \"collected\", | 14 | "date": "[{\"date\": \"2021-05-21\", \"date_type\": \"collected\", | ||
14 | \"end_date\": \"2021-06-11\"}]", | 15 | \"end_date\": \"2021-06-11\"}]", | ||
15 | "doi": "10.16904/envidat.399", | 16 | "doi": "10.16904/envidat.399", | ||
16 | "funding": "[{\"grant_number\": \"188554\", \"institution\": | 17 | "funding": "[{\"grant_number\": \"188554\", \"institution\": | ||
17 | \"SNF\", \"institution_url\": | 18 | \"SNF\", \"institution_url\": | ||
18 | \"https://data.snf.ch/grants/grant/188554\"}]", | 19 | \"https://data.snf.ch/grants/grant/188554\"}]", | ||
19 | "groups": [], | 20 | "groups": [], | ||
20 | "id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | 21 | "id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | ||
21 | "isopen": false, | 22 | "isopen": false, | ||
22 | "language": "en", | 23 | "language": "en", | ||
23 | "license_id": "wsl-data", | 24 | "license_id": "wsl-data", | ||
24 | "license_title": "WSL Data Policy", | 25 | "license_title": "WSL Data Policy", | ||
25 | "license_url": | 26 | "license_url": | ||
26 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | 27 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | ||
27 | "maintainer": "{\"affiliation\": \"SLF\", \"email\": | 28 | "maintainer": "{\"affiliation\": \"SLF\", \"email\": | ||
28 | \"michael.haugeneder@slf.ch\", \"given_name\": \"Michael\", | 29 | \"michael.haugeneder@slf.ch\", \"given_name\": \"Michael\", | ||
29 | \"identifier\": \"0000-0003-3228-9868\", \"name\": \"Haugeneder\"}", | 30 | \"identifier\": \"0000-0003-3228-9868\", \"name\": \"Haugeneder\"}", | ||
30 | "maintainer_email": null, | 31 | "maintainer_email": null, | ||
31 | "metadata_created": "2023-05-05T08:07:30.565750", | 32 | "metadata_created": "2023-05-05T08:07:30.565750", | ||
n | 32 | "metadata_modified": "2024-05-21T11:58:45.405339", | n | 33 | "metadata_modified": "2024-05-21T12:08:16.920601", |
33 | "name": "turbulence-patchy-snow-cover", | 34 | "name": "turbulence-patchy-snow-cover", | ||
t | 34 | "notes": "Data and code for the publication. The data is raw data. | t | 35 | "notes": "EnviDat Admin message: this dataset is being recreated, |
36 | please have patience.\r\n\r\nData and code for the publication. The | ||||
35 | Processed data can be obtained upon request.", | 37 | data is raw data. Processed data can be obtained upon request.", | ||
36 | "num_resources": 6, | 38 | "num_resources": 6, | ||
37 | "num_tags": 5, | 39 | "num_tags": 5, | ||
38 | "organization": { | 40 | "organization": { | ||
39 | "approval_status": "approved", | 41 | "approval_status": "approved", | ||
40 | "created": "2021-08-23T15:25:48.676190", | 42 | "created": "2021-08-23T15:25:48.676190", | ||
41 | "description": "The research group \u00abSnow Hydrology\u00bb | 43 | "description": "The research group \u00abSnow Hydrology\u00bb | ||
42 | investigates snow as a component of the hydrological cycle. In the | 44 | investigates snow as a component of the hydrological cycle. In the | ||
43 | Alps a significant percentage of precipitation comes in the form of | 45 | Alps a significant percentage of precipitation comes in the form of | ||
44 | snow. The timing of snow melt thus influences the annual dynamics of | 46 | snow. The timing of snow melt thus influences the annual dynamics of | ||
45 | runoff from alpine watersheds. Of particular interest for our research | 47 | runoff from alpine watersheds. Of particular interest for our research | ||
46 | is to enhance estimations of snow water resources and subsequent melt | 48 | is to enhance estimations of snow water resources and subsequent melt | ||
47 | water discharge.\r\n\r\nThe research group covers a broad range of | 49 | water discharge.\r\n\r\nThe research group covers a broad range of | ||
48 | projects and methods. The latest measuring techniques are used to | 50 | projects and methods. The latest measuring techniques are used to | ||
49 | investigate snow distribution patterns in alpine terrain, e.g. laser | 51 | investigate snow distribution patterns in alpine terrain, e.g. laser | ||
50 | scanning or radar technology. We use different types of numerical | 52 | scanning or radar technology. We use different types of numerical | ||
51 | models to calculate snow water resources based on input data from | 53 | models to calculate snow water resources based on input data from | ||
52 | meteorological monitoring networks. These models are being used to | 54 | meteorological monitoring networks. These models are being used to | ||
53 | predict the consequences of climate change on the water balance of | 55 | predict the consequences of climate change on the water balance of | ||
54 | mountain watersheds. The models also constitute a valuable tool for | 56 | mountain watersheds. The models also constitute a valuable tool for | ||
55 | our operational services, such as periodic snow hydrological | 57 | our operational services, such as periodic snow hydrological | ||
56 | bulletins, which contribute to the federal flood prevention and | 58 | bulletins, which contribute to the federal flood prevention and | ||
57 | forecasting system.\r\n\r\nThe research group \u00abSnow | 59 | forecasting system.\r\n\r\nThe research group \u00abSnow | ||
58 | Hydrology\u00bb is based in Davos and ensures the link between other | 60 | Hydrology\u00bb is based in Davos and ensures the link between other | ||
59 | Davosian research groups and the research unit \u201dMountain | 61 | Davosian research groups and the research unit \u201dMountain | ||
60 | Hydrology and Mass Movements\u201d in Birmensdorf.", | 62 | Hydrology and Mass Movements\u201d in Birmensdorf.", | ||
61 | "id": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | 63 | "id": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | ||
62 | "image_url": "", | 64 | "image_url": "", | ||
63 | "is_organization": true, | 65 | "is_organization": true, | ||
64 | "name": "snow-hydrology", | 66 | "name": "snow-hydrology", | ||
65 | "state": "active", | 67 | "state": "active", | ||
66 | "title": "Snow Hydrology", | 68 | "title": "Snow Hydrology", | ||
67 | "type": "organization" | 69 | "type": "organization" | ||
68 | }, | 70 | }, | ||
69 | "owner_org": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | 71 | "owner_org": "d66115d3-c4f9-4f6e-8ff1-5791549e0386", | ||
70 | "private": false, | 72 | "private": false, | ||
71 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | 73 | "publication": "{\"publication_year\": \"2023\", \"publisher\": | ||
72 | \"EnviDat\"}", | 74 | \"EnviDat\"}", | ||
73 | "publication_state": "published", | 75 | "publication_state": "published", | ||
74 | "related_datasets": "", | 76 | "related_datasets": "", | ||
75 | "related_publications": "", | 77 | "related_publications": "", | ||
76 | "relationships_as_object": [], | 78 | "relationships_as_object": [], | ||
77 | "relationships_as_subject": [], | 79 | "relationships_as_subject": [], | ||
78 | "resource_type": "dataset", | 80 | "resource_type": "dataset", | ||
79 | "resource_type_general": "dataset", | 81 | "resource_type_general": "dataset", | ||
80 | "resources": [ | 82 | "resources": [ | ||
81 | { | 83 | { | ||
82 | "cache_last_updated": null, | 84 | "cache_last_updated": null, | ||
83 | "cache_url": null, | 85 | "cache_url": null, | ||
84 | "created": "2023-06-19T18:00:59.530099", | 86 | "created": "2023-06-19T18:00:59.530099", | ||
85 | "description": "", | 87 | "description": "", | ||
86 | "doi": "", | 88 | "doi": "", | ||
87 | "format": "ZIP", | 89 | "format": "ZIP", | ||
88 | "hash": "", | 90 | "hash": "", | ||
89 | "id": "f09a6f48-3076-495b-93ce-b1969d46d940", | 91 | "id": "f09a6f48-3076-495b-93ce-b1969d46d940", | ||
90 | "last_modified": null, | 92 | "last_modified": null, | ||
91 | "metadata_modified": "2023-06-19T18:00:59.507283", | 93 | "metadata_modified": "2023-06-19T18:00:59.507283", | ||
92 | "mimetype": "application/x-zip-compressed", | 94 | "mimetype": "application/x-zip-compressed", | ||
93 | "mimetype_inner": null, | 95 | "mimetype_inner": null, | ||
94 | "name": "aws.zip", | 96 | "name": "aws.zip", | ||
95 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | 97 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | ||
96 | "position": 0, | 98 | "position": 0, | ||
97 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"kb\"}", | 99 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"kb\"}", | ||
98 | "resource_type": null, | 100 | "resource_type": null, | ||
99 | "restricted": | 101 | "restricted": | ||
100 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | 102 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | ||
101 | "size": 869784619, | 103 | "size": 869784619, | ||
102 | "state": "active", | 104 | "state": "active", | ||
103 | "url": | 105 | "url": | ||
104 | 55c67/resource/f09a6f48-3076-495b-93ce-b1969d46d940/download/aws.zip", | 106 | 55c67/resource/f09a6f48-3076-495b-93ce-b1969d46d940/download/aws.zip", | ||
105 | "url_type": "upload" | 107 | "url_type": "upload" | ||
106 | }, | 108 | }, | ||
107 | { | 109 | { | ||
108 | "cache_last_updated": null, | 110 | "cache_last_updated": null, | ||
109 | "cache_url": null, | 111 | "cache_url": null, | ||
110 | "created": "2023-06-19T18:02:39.315423", | 112 | "created": "2023-06-19T18:02:39.315423", | ||
111 | "description": "Raw eddy covariance data from tower 2 at 3m | 113 | "description": "Raw eddy covariance data from tower 2 at 3m | ||
112 | height. Instrument is Campell Scientifc CSAT 3", | 114 | height. Instrument is Campell Scientifc CSAT 3", | ||
113 | "doi": "", | 115 | "doi": "", | ||
114 | "format": "ZIP", | 116 | "format": "ZIP", | ||
115 | "hash": "", | 117 | "hash": "", | ||
116 | "id": "f40a97bb-9f66-4125-948e-b559cd4ebd7e", | 118 | "id": "f40a97bb-9f66-4125-948e-b559cd4ebd7e", | ||
117 | "last_modified": "2023-06-19T14:07:18.351000", | 119 | "last_modified": "2023-06-19T14:07:18.351000", | ||
118 | "metadata_modified": "2023-06-19T21:07:18.569514", | 120 | "metadata_modified": "2023-06-19T21:07:18.569514", | ||
119 | "mimetype": "application/x-zip-compressed", | 121 | "mimetype": "application/x-zip-compressed", | ||
120 | "mimetype_inner": null, | 122 | "mimetype_inner": null, | ||
121 | "name": "t2_3m.zip", | 123 | "name": "t2_3m.zip", | ||
122 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | 124 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | ||
123 | "position": 1, | 125 | "position": 1, | ||
124 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | 126 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | ||
125 | "resource_type": null, | 127 | "resource_type": null, | ||
126 | "restricted": | 128 | "restricted": | ||
127 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | 129 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | ||
128 | "size": 906522928, | 130 | "size": 906522928, | ||
129 | "state": "active", | 131 | "state": "active", | ||
130 | "url": | 132 | "url": | ||
131 | c67/resource/f40a97bb-9f66-4125-948e-b559cd4ebd7e/download/t2_3m.zip", | 133 | c67/resource/f40a97bb-9f66-4125-948e-b559cd4ebd7e/download/t2_3m.zip", | ||
132 | "url_type": "upload" | 134 | "url_type": "upload" | ||
133 | }, | 135 | }, | ||
134 | { | 136 | { | ||
135 | "cache_last_updated": null, | 137 | "cache_last_updated": null, | ||
136 | "cache_url": null, | 138 | "cache_url": null, | ||
137 | "created": "2023-06-19T18:15:01.079071", | 139 | "created": "2023-06-19T18:15:01.079071", | ||
138 | "description": "Raw eddy covariance data from tower 2 at 2m | 140 | "description": "Raw eddy covariance data from tower 2 at 2m | ||
139 | height. Instrument is Campell Scientifc CSAT 3", | 141 | height. Instrument is Campell Scientifc CSAT 3", | ||
140 | "doi": "", | 142 | "doi": "", | ||
141 | "format": "ZIP", | 143 | "format": "ZIP", | ||
142 | "hash": "", | 144 | "hash": "", | ||
143 | "id": "4ae100e8-f9fa-40e6-bd8e-cf3f7d69ac13", | 145 | "id": "4ae100e8-f9fa-40e6-bd8e-cf3f7d69ac13", | ||
144 | "last_modified": "2023-06-19T14:07:09.522000", | 146 | "last_modified": "2023-06-19T14:07:09.522000", | ||
145 | "metadata_modified": "2023-06-19T21:07:09.817516", | 147 | "metadata_modified": "2023-06-19T21:07:09.817516", | ||
146 | "mimetype": "application/x-zip-compressed", | 148 | "mimetype": "application/x-zip-compressed", | ||
147 | "mimetype_inner": null, | 149 | "mimetype_inner": null, | ||
148 | "name": "t2_2m.zip", | 150 | "name": "t2_2m.zip", | ||
149 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | 151 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | ||
150 | "position": 2, | 152 | "position": 2, | ||
151 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | 153 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | ||
152 | "resource_type": null, | 154 | "resource_type": null, | ||
153 | "restricted": | 155 | "restricted": | ||
154 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | 156 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | ||
155 | "size": 722480736, | 157 | "size": 722480736, | ||
156 | "state": "active", | 158 | "state": "active", | ||
157 | "url": | 159 | "url": | ||
158 | c67/resource/4ae100e8-f9fa-40e6-bd8e-cf3f7d69ac13/download/t2_2m.zip", | 160 | c67/resource/4ae100e8-f9fa-40e6-bd8e-cf3f7d69ac13/download/t2_2m.zip", | ||
159 | "url_type": "upload" | 161 | "url_type": "upload" | ||
160 | }, | 162 | }, | ||
161 | { | 163 | { | ||
162 | "cache_last_updated": null, | 164 | "cache_last_updated": null, | ||
163 | "cache_url": null, | 165 | "cache_url": null, | ||
164 | "created": "2023-06-19T18:16:01.947035", | 166 | "created": "2023-06-19T18:16:01.947035", | ||
165 | "description": "Raw eddy covariance data from tower 2 at 1m | 167 | "description": "Raw eddy covariance data from tower 2 at 1m | ||
166 | height. Instrument is Campell Scientific IRGASON", | 168 | height. Instrument is Campell Scientific IRGASON", | ||
167 | "doi": "", | 169 | "doi": "", | ||
168 | "format": "ZIP", | 170 | "format": "ZIP", | ||
169 | "hash": "", | 171 | "hash": "", | ||
170 | "id": "d788f7aa-6c97-4274-b560-e60910ee9c76", | 172 | "id": "d788f7aa-6c97-4274-b560-e60910ee9c76", | ||
171 | "last_modified": "2023-06-19T11:30:52.347000", | 173 | "last_modified": "2023-06-19T11:30:52.347000", | ||
172 | "metadata_modified": "2023-06-19T18:30:52.876524", | 174 | "metadata_modified": "2023-06-19T18:30:52.876524", | ||
173 | "mimetype": "application/x-zip-compressed", | 175 | "mimetype": "application/x-zip-compressed", | ||
174 | "mimetype_inner": null, | 176 | "mimetype_inner": null, | ||
175 | "name": "t2_1m.zip", | 177 | "name": "t2_1m.zip", | ||
176 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | 178 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | ||
177 | "position": 3, | 179 | "position": 3, | ||
178 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | 180 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | ||
179 | "resource_type": null, | 181 | "resource_type": null, | ||
180 | "restricted": | 182 | "restricted": | ||
181 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | 183 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | ||
182 | "size": 1076784960, | 184 | "size": 1076784960, | ||
183 | "state": "active", | 185 | "state": "active", | ||
184 | "url": | 186 | "url": | ||
185 | c67/resource/d788f7aa-6c97-4274-b560-e60910ee9c76/download/t2_1m.zip", | 187 | c67/resource/d788f7aa-6c97-4274-b560-e60910ee9c76/download/t2_1m.zip", | ||
186 | "url_type": "upload" | 188 | "url_type": "upload" | ||
187 | }, | 189 | }, | ||
188 | { | 190 | { | ||
189 | "cache_last_updated": null, | 191 | "cache_last_updated": null, | ||
190 | "cache_url": null, | 192 | "cache_url": null, | ||
191 | "created": "2023-06-19T18:31:11.376934", | 193 | "created": "2023-06-19T18:31:11.376934", | ||
192 | "description": "Raw eddy covariance data from the short-path | 194 | "description": "Raw eddy covariance data from the short-path | ||
193 | ultrasonic (\"Kaijo\") at 0.3m above the snow", | 195 | ultrasonic (\"Kaijo\") at 0.3m above the snow", | ||
194 | "doi": "", | 196 | "doi": "", | ||
195 | "format": "ZIP", | 197 | "format": "ZIP", | ||
196 | "hash": "", | 198 | "hash": "", | ||
197 | "id": "4cf92a16-33be-40ca-a415-3dd979eccc5c", | 199 | "id": "4cf92a16-33be-40ca-a415-3dd979eccc5c", | ||
198 | "last_modified": "2023-06-19T14:06:34.093000", | 200 | "last_modified": "2023-06-19T14:06:34.093000", | ||
199 | "metadata_modified": "2023-06-19T21:06:34.388730", | 201 | "metadata_modified": "2023-06-19T21:06:34.388730", | ||
200 | "mimetype": "application/x-zip-compressed", | 202 | "mimetype": "application/x-zip-compressed", | ||
201 | "mimetype_inner": null, | 203 | "mimetype_inner": null, | ||
202 | "name": "kaijo.zip", | 204 | "name": "kaijo.zip", | ||
203 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | 205 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | ||
204 | "position": 4, | 206 | "position": 4, | ||
205 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | 207 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | ||
206 | "resource_type": null, | 208 | "resource_type": null, | ||
207 | "restricted": | 209 | "restricted": | ||
208 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | 210 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | ||
209 | "size": 31515684, | 211 | "size": 31515684, | ||
210 | "state": "active", | 212 | "state": "active", | ||
211 | "url": | 213 | "url": | ||
212 | c67/resource/4cf92a16-33be-40ca-a415-3dd979eccc5c/download/kaijo.zip", | 214 | c67/resource/4cf92a16-33be-40ca-a415-3dd979eccc5c/download/kaijo.zip", | ||
213 | "url_type": "upload" | 215 | "url_type": "upload" | ||
214 | }, | 216 | }, | ||
215 | { | 217 | { | ||
216 | "cache_last_updated": null, | 218 | "cache_last_updated": null, | ||
217 | "cache_url": null, | 219 | "cache_url": null, | ||
218 | "created": "2023-06-19T18:37:26.468895", | 220 | "created": "2023-06-19T18:37:26.468895", | ||
219 | "description": "IR-data that is visualized in the video", | 221 | "description": "IR-data that is visualized in the video", | ||
220 | "doi": "", | 222 | "doi": "", | ||
221 | "format": "ZIP", | 223 | "format": "ZIP", | ||
222 | "hash": "", | 224 | "hash": "", | ||
223 | "id": "6f7f0d92-6dd4-440a-b581-19b30b65c942", | 225 | "id": "6f7f0d92-6dd4-440a-b581-19b30b65c942", | ||
224 | "last_modified": "2023-06-19T14:05:50.202000", | 226 | "last_modified": "2023-06-19T14:05:50.202000", | ||
225 | "metadata_modified": "2023-06-19T21:05:50.699096", | 227 | "metadata_modified": "2023-06-19T21:05:50.699096", | ||
226 | "mimetype": "application/x-zip-compressed", | 228 | "mimetype": "application/x-zip-compressed", | ||
227 | "mimetype_inner": null, | 229 | "mimetype_inner": null, | ||
228 | "name": "irdata.zip", | 230 | "name": "irdata.zip", | ||
229 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | 231 | "package_id": "b060a56e-7c4f-4291-ac8d-c4d492455c67", | ||
230 | "position": 5, | 232 | "position": 5, | ||
231 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | 233 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | ||
232 | "resource_type": null, | 234 | "resource_type": null, | ||
233 | "restricted": | 235 | "restricted": | ||
234 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | 236 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | ||
235 | "size": 1240628362, | 237 | "size": 1240628362, | ||
236 | "state": "active", | 238 | "state": "active", | ||
237 | "url": | 239 | "url": | ||
238 | 67/resource/6f7f0d92-6dd4-440a-b581-19b30b65c942/download/irdata.zip", | 240 | 67/resource/6f7f0d92-6dd4-440a-b581-19b30b65c942/download/irdata.zip", | ||
239 | "url_type": "upload" | 241 | "url_type": "upload" | ||
240 | } | 242 | } | ||
241 | ], | 243 | ], | ||
242 | "spatial": | 244 | "spatial": | ||
243 | \":\"Point\",\"coordinates\":[9.922499656677246,46.719613134706506]}", | 245 | \":\"Point\",\"coordinates\":[9.922499656677246,46.719613134706506]}", | ||
244 | "spatial_info": "Switzerland", | 246 | "spatial_info": "Switzerland", | ||
245 | "state": "active", | 247 | "state": "active", | ||
246 | "subtitle": "", | 248 | "subtitle": "", | ||
247 | "tags": [ | 249 | "tags": [ | ||
248 | { | 250 | { | ||
249 | "display_name": "ATMOSPHERIC TURBULENCE", | 251 | "display_name": "ATMOSPHERIC TURBULENCE", | ||
250 | "id": "33a2c66c-7196-447c-ae3c-603212e9492d", | 252 | "id": "33a2c66c-7196-447c-ae3c-603212e9492d", | ||
251 | "name": "ATMOSPHERIC TURBULENCE", | 253 | "name": "ATMOSPHERIC TURBULENCE", | ||
252 | "state": "active", | 254 | "state": "active", | ||
253 | "vocabulary_id": null | 255 | "vocabulary_id": null | ||
254 | }, | 256 | }, | ||
255 | { | 257 | { | ||
256 | "display_name": "EDDY-COVARIANCE MEASUREMENTS", | 258 | "display_name": "EDDY-COVARIANCE MEASUREMENTS", | ||
257 | "id": "3d92ab0f-64bb-4f23-a670-1d676d15f858", | 259 | "id": "3d92ab0f-64bb-4f23-a670-1d676d15f858", | ||
258 | "name": "EDDY-COVARIANCE MEASUREMENTS", | 260 | "name": "EDDY-COVARIANCE MEASUREMENTS", | ||
259 | "state": "active", | 261 | "state": "active", | ||
260 | "vocabulary_id": null | 262 | "vocabulary_id": null | ||
261 | }, | 263 | }, | ||
262 | { | 264 | { | ||
263 | "display_name": "PATCHY SNOW COVER", | 265 | "display_name": "PATCHY SNOW COVER", | ||
264 | "id": "61d8a21a-8ef9-4900-8050-bf3e84c05fc5", | 266 | "id": "61d8a21a-8ef9-4900-8050-bf3e84c05fc5", | ||
265 | "name": "PATCHY SNOW COVER", | 267 | "name": "PATCHY SNOW COVER", | ||
266 | "state": "active", | 268 | "state": "active", | ||
267 | "vocabulary_id": null | 269 | "vocabulary_id": null | ||
268 | }, | 270 | }, | ||
269 | { | 271 | { | ||
270 | "display_name": "SNOW MELT", | 272 | "display_name": "SNOW MELT", | ||
271 | "id": "4452e5c9-c707-4c61-bd1c-28816181a043", | 273 | "id": "4452e5c9-c707-4c61-bd1c-28816181a043", | ||
272 | "name": "SNOW MELT", | 274 | "name": "SNOW MELT", | ||
273 | "state": "active", | 275 | "state": "active", | ||
274 | "vocabulary_id": null | 276 | "vocabulary_id": null | ||
275 | }, | 277 | }, | ||
276 | { | 278 | { | ||
277 | "display_name": "SURFACE HEAT EXCHANGE", | 279 | "display_name": "SURFACE HEAT EXCHANGE", | ||
278 | "id": "cb61d6bd-bf4d-4fd6-a8e2-8dbbbd90d418", | 280 | "id": "cb61d6bd-bf4d-4fd6-a8e2-8dbbbd90d418", | ||
279 | "name": "SURFACE HEAT EXCHANGE", | 281 | "name": "SURFACE HEAT EXCHANGE", | ||
280 | "state": "active", | 282 | "state": "active", | ||
281 | "vocabulary_id": null | 283 | "vocabulary_id": null | ||
282 | } | 284 | } | ||
283 | ], | 285 | ], | ||
284 | "title": "Turbulence in The Strongly Heterogeneous Near-Surface | 286 | "title": "Turbulence in The Strongly Heterogeneous Near-Surface | ||
285 | Boundary Layer over Patchy Snow", | 287 | Boundary Layer over Patchy Snow", | ||
286 | "type": "dataset", | 288 | "type": "dataset", | ||
287 | "url": null, | 289 | "url": null, | ||
288 | "version": "1.0" | 290 | "version": "1.0" | ||
289 | } | 291 | } |