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{
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{
            
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  "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche 
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  "author": "[{\"affiliation\": \"WSL Institute for Snow and Avalanche 
            
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Research SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
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Research SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
            
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\"data_credit\": [\"collection\", \"validation\", \"curation\", 
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\"data_credit\": [\"collection\", \"validation\", \"curation\", 
            
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\"publication\"], \"email\": \"cristina.perez@wsl.ch\", 
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\"publication\"], \"email\": \"cristina.perez@wsl.ch\", 
            
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\"given_name\": \"Cristina\", \"identifier\": \"0000-0003-2596-1046\", 
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\"given_name\": \"Cristina\", \"identifier\": \"0000-0003-2596-1046\", 
            
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\"name\": \"P\\u00e9rez-Guill\\u00e9n\"}, {\"affiliation\": \"WSL 
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\"name\": \"P\\u00e9rez-Guill\\u00e9n\"}, {\"affiliation\": \"WSL 
            
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Institute for Snow and Avalanche Research SLF\", \"affiliation_02\": 
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Institute for Snow and Avalanche Research SLF\", \"affiliation_02\": 
            
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\"\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
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\"\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
            
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\"validation\", \"curation\", \"publication\"], \"email\": 
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\"validation\", \"curation\", \"publication\"], \"email\": 
            
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\"techel@wsl.ch\", \"given_name\": \"Frank\", \"identifier\": \"\", 
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\"techel@wsl.ch\", \"given_name\": \"Frank\", \"identifier\": \"\", 
            
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\"name\": \"Techel\"}, {\"affiliation\": \"WSL Institute for Snow and 
12
\"name\": \"Techel\"}, {\"affiliation\": \"WSL Institute for Snow and 
            
13
Avalanche Research SLF\", \"affiliation_02\": \"\", 
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Avalanche Research SLF\", \"affiliation_02\": \"\", 
            
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
            
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\"validation\", \"curation\", \"publication\"], \"email\": 
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\"validation\", \"curation\", \"publication\"], \"email\": 
            
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\"martin.hendrick@wsl.ch\", \"given_name\": \"Martin\", 
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\"martin.hendrick@wsl.ch\", \"given_name\": \"Martin\", 
            
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\"identifier\": \"\", \"name\": \"Hendrick\"}, {\"affiliation\": 
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\"identifier\": \"\", \"name\": \"Hendrick\"}, {\"affiliation\": 
            
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\"Swiss Data Science Center\", \"affiliation_02\": \"\", 
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\"Swiss Data Science Center\", \"affiliation_02\": \"\", 
            
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
            
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\"validation\", \"curation\", \"publication\"], \"email\": 
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\"validation\", \"curation\", \"publication\"], \"email\": 
            
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\"michele.volpi@sdsc.ethz.ch\", \"given_name\": \"Michele\", 
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\"michele.volpi@sdsc.ethz.ch\", \"given_name\": \"Michele\", 
            
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\"identifier\": \"\", \"name\": \"Volpi\"}, {\"affiliation\": \"WSL 
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\"identifier\": \"\", \"name\": \"Volpi\"}, {\"affiliation\": \"WSL 
            
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Institute for Snow and Avalanche Research SLF\", \"affiliation_02\": 
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Institute for Snow and Avalanche Research SLF\", \"affiliation_02\": 
            
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\"\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
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\"\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
            
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\"validation\", \"curation\", \"publication\"], \"email\": 
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\"validation\", \"curation\", \"publication\"], \"email\": 
            
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\"vanherwijnen@wsl.ch\", \"given_name\": \"Alec \", \"identifier\": 
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\"vanherwijnen@wsl.ch\", \"given_name\": \"Alec \", \"identifier\": 
            
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\"\", \"name\": \"van Herwijnen\"}, {\"affiliation\": \"Swiss Data 
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\"\", \"name\": \"van Herwijnen\"}, {\"affiliation\": \"Swiss Data 
            
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Science Center\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
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Science Center\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
            
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\"data_credit\": [\"collection\", \"validation\", \"curation\", 
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\"data_credit\": [\"collection\", \"validation\", \"curation\", 
            
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\"publication\"], \"email\": \"tasko.olevski@sdsc.ethz.ch\", 
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\"publication\"], \"email\": \"tasko.olevski@sdsc.ethz.ch\", 
            
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\"given_name\": \"Tasko\", \"identifier\": \"\", \"name\": 
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\"given_name\": \"Tasko\", \"identifier\": \"\", \"name\": 
            
32
\"Olevski\"}, {\"affiliation\": \"Swiss Data Science Center\", 
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\"Olevski\"}, {\"affiliation\": \"Swiss Data Science Center\", 
            
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\"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": 
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\"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": 
            
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[\"collection\", \"validation\", \"curation\", \"publication\"], 
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[\"collection\", \"validation\", \"curation\", \"publication\"], 
            
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\"email\": \"guillaume.obozinski@epfl.ch\", \"given_name\": 
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\"email\": \"guillaume.obozinski@epfl.ch\", \"given_name\": 
            
36
\"Guillaume \", \"identifier\": \"\", \"name\": \"Obozinski\"}, 
36
\"Guillaume \", \"identifier\": \"\", \"name\": \"Obozinski\"}, 
            
37
{\"affiliation\": \"Swiss Data Science Center\", \"affiliation_02\": 
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{\"affiliation\": \"Swiss Data Science Center\", \"affiliation_02\": 
            
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\"ETH\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
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\"ETH\", \"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
            
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\"validation\", \"curation\", \"publication\"], \"email\": 
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\"validation\", \"curation\", \"publication\"], \"email\": 
            
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\"fernando.perezcruz@sdsc.ethz.ch\", \"given_name\": \"Fernando \", 
40
\"fernando.perezcruz@sdsc.ethz.ch\", \"given_name\": \"Fernando \", 
            
41
\"identifier\": \"\", \"name\": \"P\\u00e9rez-Cruz\"}, 
41
\"identifier\": \"\", \"name\": \"P\\u00e9rez-Cruz\"}, 
            
42
{\"affiliation\": \"WSL Institute for Snow and Avalanche Research 
42
{\"affiliation\": \"WSL Institute for Snow and Avalanche Research 
            
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SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
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SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
            
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\"data_credit\": [\"collection\", \"validation\", \"curation\", 
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\"data_credit\": [\"collection\", \"validation\", \"curation\", 
            
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\"publication\"], \"email\": \"schweizer@wsl.ch\", \"given_name\": 
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\"publication\"], \"email\": \"schweizer@wsl.ch\", \"given_name\": 
            
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\"J\\u00fcrg \", \"identifier\": \"\", \"name\": \"Schweizer\"}]",
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\"J\\u00fcrg \", \"identifier\": \"\", \"name\": \"Schweizer\"}]",
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "dedcb4d9-f637-4ba6-a217-567ec39dc6b3",
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  "creator_user_id": "dedcb4d9-f637-4ba6-a217-567ec39dc6b3",
            
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  "date": "[{\"date\": \"1997-11-11\", \"date_type\": \"collected\", 
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  "date": "[{\"date\": \"1997-11-11\", \"date_type\": \"collected\", 
            
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\"end_date\": \"2020-05-04\"}]",
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\"end_date\": \"2020-05-04\"}]",
            
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  "doi": "10.16904/envidat.330",
51
  "doi": "10.16904/envidat.330",
            
52
  "funding": "[{\"grant_number\": \"grant C18-05 
52
  "funding": "[{\"grant_number\": \"grant C18-05 
            
53
\u201cDEAPSsnow\u201d\", \"institution\": \"Swiss Data Science 
53
\u201cDEAPSsnow\u201d\", \"institution\": \"Swiss Data Science 
            
54
Center\", \"institution_url\": \"https://datascience.ch/\"}]",
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Center\", \"institution_url\": \"https://datascience.ch/\"}]",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "54d7dc19-e70c-4998-bfb6-caffe41c83e6",
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  "id": "54d7dc19-e70c-4998-bfb6-caffe41c83e6",
            
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  "isopen": false,
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  "isopen": false,
            
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  "language": "en",
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  "language": "en",
            
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  "license_id": "wsl-data",
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  "license_id": "wsl-data",
            
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  "license_title": "WSL Data Policy",
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  "license_title": "WSL Data Policy",
            
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  "license_url": 
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  "license_url": 
            
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ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html",
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ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html",
            
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  "maintainer": "{\"affiliation\": \"WSL Institute for Snow and 
63
  "maintainer": "{\"affiliation\": \"WSL Institute for Snow and 
            
64
Avalanche Research SLF\", \"email\": \"cristina.perez@wsl.ch\", 
64
Avalanche Research SLF\", \"email\": \"cristina.perez@wsl.ch\", 
            
65
\"given_name\": \"Cristina\", \"identifier\": \"0000-0003-2596-1046\", 
65
\"given_name\": \"Cristina\", \"identifier\": \"0000-0003-2596-1046\", 
            
66
\"name\": \"P\u00e9rez-Guill\u00e9n\"}",
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\"name\": \"P\u00e9rez-Guill\u00e9n\"}",
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2022-06-01T12:55:38.710289",
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  "metadata_created": "2022-06-01T12:55:38.710289",
            
n
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  "metadata_modified": "2022-06-02T08:35:13.676711",
n
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  "metadata_modified": "2023-04-13T14:38:48.828592",
            
70
  "name": "weather-snowpack-danger_ratings-data",
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  "name": "weather-snowpack-danger_ratings-data",
            
71
  "notes": "Each set includes the meteorological variables (resampled 
71
  "notes": "Each set includes the meteorological variables (resampled 
            
72
24-hour averages) and the profile variables extracted from the 
72
24-hour averages) and the profile variables extracted from the 
            
73
simulated profiles for each of the weather stations of the IMIS 
73
simulated profiles for each of the weather stations of the IMIS 
            
74
network in Switzerland, and, the danger ratings for dry-snow 
74
network in Switzerland, and, the danger ratings for dry-snow 
            
75
conditions assigned to the location of the station. The data set of RF 
75
conditions assigned to the location of the station. The data set of RF 
            
76
1 contains the danger ratings published in the official Swiss 
76
1 contains the danger ratings published in the official Swiss 
            
77
avalanche bulletin, and the data set of RF 2 is a quality-controlled 
77
avalanche bulletin, and the data set of RF 2 is a quality-controlled 
            
n
78
subset of danger ratings.\r\n\r\nThese data are the basis of the 
n
78
subset of danger ratings.\n\nThese data are the basis of the following 
            
79
following publication: P\u00e9rez-Guill\u00e9n, C., Techel, F., 
79
publication:  P\u00e9rez-Guill\u00e9n, C., Techel, F., Hendrick, M., 
            
80
Hendrick, M., Volpi, M., van Herwijnen, A., Olevski, T., Obozinski, 
80
Volpi, M., van Herwijnen, A., Olevski, T., Obozinski, G., 
            
81
G., P\u00e9rez-Cruz, F. and Schweizer, J., 2021. Data-driven automated 
81
P\u00e9rez-Cruz, F., and Schweizer, J.: Data-driven automated 
            
82
predictions of the avalanche danger level for dry-snow conditions in 
82
predictions of the avalanche danger level for dry-snow conditions in 
            
t
83
Switzerland. Natural Hazards and Earth System Sciences, pp.1-38, in 
t
83
Switzerland, Nat. Hazards Earth Syst. Sci., 22, 2031\u20132056, 
            
84
review 2022.",
84
https://doi.org/10.5194/nhess-22-2031-2022, 2022.",
            
85
  "num_resources": 3,
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  "num_resources": 3,
            
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  "num_tags": 5,
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  "num_tags": 5,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2016-05-24T16:15:21.861195",
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    "created": "2016-05-24T16:15:21.861195",
            
90
    "description": "This research unit investigates the formation and 
90
    "description": "This research unit investigates the formation and 
            
91
dynamics of avalanches in order to improve the forecasting of when and 
91
dynamics of avalanches in order to improve the forecasting of when and 
            
92
where avalanche events are likely to occur and their effects. It 
92
where avalanche events are likely to occur and their effects. It 
            
93
engages in process modelling based on laboratory experiments and field 
93
engages in process modelling based on laboratory experiments and field 
            
94
investigations.\r\n\r\nOn behalf of the government, it also operates 
94
investigations.\r\n\r\nOn behalf of the government, it also operates 
            
95
the Swiss avalanche warning service. The avalanche bulletin provides 
95
the Swiss avalanche warning service. The avalanche bulletin provides 
            
96
information concerning the current avalanche situation and warns the 
96
information concerning the current avalanche situation and warns the 
            
97
public about the avalanche danger. The data underlying the service is 
97
public about the avalanche danger. The data underlying the service is 
            
98
delivered by an extensive network of observers and automatic measuring 
98
delivered by an extensive network of observers and automatic measuring 
            
99
stations. The avalanches and prevention unit develops warning and 
99
stations. The avalanches and prevention unit develops warning and 
            
100
information systems for public authorities and local emergency 
100
information systems for public authorities and local emergency 
            
101
services.\r\n\r\nAmong other key duties, the unit provides advice on 
101
services.\r\n\r\nAmong other key duties, the unit provides advice on 
            
102
practical aspects of avalanche protection, and develops methods for 
102
practical aspects of avalanche protection, and develops methods for 
            
103
the risk-based management of natural hazards. The latest research and 
103
the risk-based management of natural hazards. The latest research and 
            
104
development findings are continuously being translated into practice 
104
development findings are continuously being translated into practice 
            
105
and used in the unit's intensive teaching and training 
105
and used in the unit's intensive teaching and training 
            
106
activities.\r\n\r\nIt works closely together with other SLF research 
106
activities.\r\n\r\nIt works closely together with other SLF research 
            
107
units and partners in Switzerland and abroad. These include national 
107
units and partners in Switzerland and abroad. These include national 
            
108
and international research establishments, cantonal and federal 
108
and international research establishments, cantonal and federal 
            
109
authorities, as well as industry, associations, and agencies 
109
authorities, as well as industry, associations, and agencies 
            
110
responsible for public safety and tourism.",
110
responsible for public safety and tourism.",
            
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    "id": "a17b145f-2191-4c21-aabf-55661d5cb140",
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    "id": "a17b145f-2191-4c21-aabf-55661d5cb140",
            
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    "image_url": "2016-05-24-141521.837240logoslf.png",
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    "image_url": "2016-05-24-141521.837240logoslf.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "slf-snow-avalanches-and-prevention",
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    "name": "slf-snow-avalanches-and-prevention",
            
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    "state": "active",
115
    "state": "active",
            
116
    "title": "Snow Avalanches and Prevention",
116
    "title": "Snow Avalanches and Prevention",
            
117
    "type": "organization"
117
    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "a17b145f-2191-4c21-aabf-55661d5cb140",
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  "owner_org": "a17b145f-2191-4c21-aabf-55661d5cb140",
            
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  "private": false,
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  "private": false,
            
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  "publication": "{\"publication_year\": \"2022\", \"publisher\": 
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  "publication": "{\"publication_year\": \"2022\", \"publisher\": 
            
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\"EnviDat\"}",
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\"EnviDat\"}",
            
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  "publication_state": "published",
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  "publication_state": "published",
            
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  "related_datasets": "",
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  "related_datasets": "",
            
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  "related_publications": "",
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  "related_publications": "",
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resource_type": "dataset",
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  "resource_type": "dataset",
            
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  "resource_type_general": "dataset",
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  "resource_type_general": "dataset",
            
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  "resources": [
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  "resources": [
            
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    {
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    {
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2022-06-02T07:58:28.487108",
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      "created": "2022-06-02T07:58:28.487108",
            
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      "description": "This data set includes the meteorological 
135
      "description": "This data set includes the meteorological 
            
136
variables (resampled 24-hour averages) and the profile variables 
136
variables (resampled 24-hour averages) and the profile variables 
            
137
extracted from the simulated profiles for each of the weather stations 
137
extracted from the simulated profiles for each of the weather stations 
            
138
of the IMIS network in Switzerland, and, the danger ratings for 
138
of the IMIS network in Switzerland, and, the danger ratings for 
            
139
dry-snow conditions assigned in the Swiss avalanche bulletin to the 
139
dry-snow conditions assigned in the Swiss avalanche bulletin to the 
            
140
location of the weather station. ",
140
location of the weather station. ",
            
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      "doi": "",
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      "doi": "",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "11c8a22e-3e76-4f1f-8880-17ebf6525e9a",
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      "id": "11c8a22e-3e76-4f1f-8880-17ebf6525e9a",
            
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      "last_modified": null,
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      "last_modified": null,
            
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      "metadata_modified": "2022-06-02T07:58:28.385069",
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      "metadata_modified": "2022-06-02T07:58:28.385069",
            
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      "mimetype": null,
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      "mimetype": null,
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "Data_weather_snowpack_danger_forecast",
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      "name": "Data_weather_snowpack_danger_forecast",
            
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      "package_id": "54d7dc19-e70c-4998-bfb6-caffe41c83e6",
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      "package_id": "54d7dc19-e70c-4998-bfb6-caffe41c83e6",
            
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      "position": 0,
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      "position": 0,
            
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      "publication_state": "",
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      "publication_state": "",
            
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      "description": "This subset of data includes the meteorological 
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      "description": "This subset of data includes the meteorological 
            
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variables (resampled 24-hour averages) and the profile variables 
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variables (resampled 24-hour averages) and the profile variables 
            
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extracted from the simulated profiles for each of the weather stations 
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extracted from the simulated profiles for each of the weather stations 
            
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of the IMIS network in Switzerland, and, the quality-controlled danger 
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of the IMIS network in Switzerland, and, the quality-controlled danger 
            
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ratings for dry-snow avalanche conditions forecast in Switzerland. ",
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ratings for dry-snow avalanche conditions forecast in Switzerland. ",
            
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      "description": "This read-me file contains the descriptions of 
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      "description": "This read-me file contains the descriptions of 
            
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the variables",
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the variables",
            
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  "tags": [
            
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    {
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    {
            
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      "display_name": "AVALANCHE",
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      "display_name": "AVALANCHE",
            
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      "id": "639e8ec6-fc41-4036-a605-0dc6fbe0fca1",
            
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      "display_name": "AVALANCHE DANGER LEVEL",
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      "display_name": "AVALANCHE DANGER LEVEL",
            
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      "id": "38f0eb28-5033-4516-a304-c2c239210426",
            
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      "name": "AVALANCHE DANGER LEVEL",
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      "name": "AVALANCHE DANGER LEVEL",
            
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      "state": "active",
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "AVALANCHE FORCASTING",
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      "display_name": "AVALANCHE FORCASTING",
            
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      "id": "168aec12-9b5d-4233-b951-dd9cc04196c9",
            
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      "name": "AVALANCHE FORCASTING",
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      "name": "AVALANCHE FORCASTING",
            
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      "state": "active",
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      "state": "active",
            
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      "display_name": "MACHINE LEARNING",
            
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      "id": "66c2084e-b683-47a2-878c-48f33c6e2a78",
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      "id": "66c2084e-b683-47a2-878c-48f33c6e2a78",
            
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      "name": "MACHINE LEARNING",
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      "state": "active",
            
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    },
            
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    {
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    {
            
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      "display_name": "NUMERICAL AVALANCHE FORECASTING",
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      "display_name": "NUMERICAL AVALANCHE FORECASTING",
            
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      "id": "74c4ee88-9445-446b-b8ff-ae44ae8aa236",
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      "id": "74c4ee88-9445-446b-b8ff-ae44ae8aa236",
            
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      "name": "NUMERICAL AVALANCHE FORECASTING",
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      "name": "NUMERICAL AVALANCHE FORECASTING",
            
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      "state": "active",
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Weather, snowpack and danger ratings data for automated 
268
  "title": "Weather, snowpack and danger ratings data for automated 
            
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avalanche danger level predictions",
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avalanche danger level predictions",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": null,
            
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  "version": "1.0"
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  "version": "1.0"
            
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}
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}