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\"identifier\": \"\", \"name\": \"Dettling\"}, {\"affiliation\": 
            
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\"WSL\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
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\"data_credit\": [\"publication\", \"supervision\"], \"email\": 
            
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\"niklaus.zimmermann@wsl.ch\", \"given_name\": \"Niklaus E.\", 
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\"niklaus.zimmermann@wsl.ch\", \"given_name\": \"Niklaus E.\", 
            
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\"identifier\": \"0000-0003-3099-9604\", \"name\": \"Zimmermann\"}]",
            
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  "date": "[{\"date\": \"2019-12-16\", \"date_type\": \"created\", 
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\"end_date\": \"\"}]",
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\"end_date\": \"\"}]",
            
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  "doi": "10.16904/envidat.124",
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  "doi": "10.16904/envidat.124",
            
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  "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", 
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  "isopen": true,
            
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  "language": "en",
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  "language": "en",
            
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  "license_id": "cc-by-sa",
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  "license_id": "cc-by-sa",
            
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  "license_title": "Creative Commons Attribution Share-Alike 
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  "license_title": "Creative Commons Attribution Share-Alike 
            
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(CC-BY-SA)",
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(CC-BY-SA)",
            
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  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
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  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
            
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
            
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\"dirk.karger@wsl.ch\", \"given_name\": \"Dirk Nikolaus\", 
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\"dirk.karger@wsl.ch\", \"given_name\": \"Dirk Nikolaus\", 
            
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\"identifier\": \"0000-0001-7770-6229\", \"name\": \"Karger\"}",
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\"identifier\": \"0000-0001-7770-6229\", \"name\": \"Karger\"}",
            
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  "maintainer_email": null,
            
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  "metadata_created": "2019-12-16T15:17:02.645373",
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  "metadata_created": "2019-12-16T15:17:02.645373",
            
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  "metadata_modified": "2024-09-19T16:32:13.342855",
            
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  "name": "chelsa_cmip5_ts",
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  "name": "chelsa_cmip5_ts",
            
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  "notes": "Predicting future climatic conditions at high spatial 
41
  "notes": "Predicting future climatic conditions at high spatial 
            
42
resolution is essential for many applications in science. Here we 
42
resolution is essential for many applications in science. Here we 
            
43
present data for monthly time series of precipitation and minimum and 
43
present data for monthly time series of precipitation and minimum and 
            
44
maximum temperature for four downscaled global circulation models. We 
44
maximum temperature for four downscaled global circulation models. We 
            
45
used model output statistics in combination with mechanistic 
45
used model output statistics in combination with mechanistic 
            
46
downscaling (the CHELSA algorithm) to calculate mean monthly maximum 
46
downscaling (the CHELSA algorithm) to calculate mean monthly maximum 
            
47
and minimum temperatures, as well as monthly precipitation sums at 
47
and minimum temperatures, as well as monthly precipitation sums at 
            
48
~5km spatial resolution globally for the years 1850-2100. We validated 
48
~5km spatial resolution globally for the years 1850-2100. We validated 
            
49
the performance of the downscaling algorithm by comparing model output 
49
the performance of the downscaling algorithm by comparing model output 
            
50
with observed climates for the years 1950-2069. 
50
with observed climates for the years 1950-2069. 
            
51
\r\n\r\nCHELSA_cmip5_ts is licensed under a Creative Commons 
51
\r\n\r\nCHELSA_cmip5_ts is licensed under a Creative Commons 
            
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Attribution 2.0 Generic (CC BY 2.0) license.\r\n",
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Attribution 2.0 Generic (CC BY 2.0) license.\r\n",
            
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  "num_resources": 1,
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2018-05-31T14:24:18.890912",
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    "created": "2018-05-31T14:24:18.890912",
            
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    "description": "The dynamic macroecology group studies different 
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    "description": "The dynamic macroecology group studies different 
            
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aspects of ecology on large spatial and temporal scales, from the 
59
aspects of ecology on large spatial and temporal scales, from the 
            
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Pleistocene to the Anthropocene, related to the question: \u201cHow do 
60
Pleistocene to the Anthropocene, related to the question: \u201cHow do 
            
61
species and their traits change in space and time, particularly with 
61
species and their traits change in space and time, particularly with 
            
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global change?\u201d",
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global change?\u201d",
            
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    "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02",
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    "id": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02",
            
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    "image_url": "",
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    "image_url": "",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "dynamic-macroecology",
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    "name": "dynamic-macroecology",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Dynamic Macroecology",
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    "title": "Dynamic Macroecology",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "8bdea9a0-ea8c-424f-8c27-a4a1f0c55f02",
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  "private": false,
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  "private": false,
            
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  "publication": "{\"publication_year\": \"2019\", \"publisher\": 
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  "publication": "{\"publication_year\": \"2019\", \"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": "Karger, D.N., Schmatz, D., Dettling, G. & 
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  "related_publications": "Karger, D.N., Schmatz, D., Dettling, G. & 
            
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Zimmermann, N.E. (2020) High resolution monthly precipitation and 
78
Zimmermann, N.E. (2020) High resolution monthly precipitation and 
            
79
temperature timeseries for the period 2006-2100. Scientific Data. in 
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temperature timeseries for the period 2006-2100. Scientific Data. in 
            
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press\r\n",
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press\r\n",
            
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  "relationships_as_object": [],
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      "doi": "",
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      "state": "active",
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      "state": "active",
            
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2F%2Fos.zhdk.cloud.switch.ch%2Fchelsav1%2F&prefix=chelsa_cmip5_ts%2F",
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  "spatial_info": "Global",
            
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  "state": "active",
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  "state": "active",
            
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  "subtitle": "",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "AIR TEMPERATURE",
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      "display_name": "AIR TEMPERATURE",
            
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      "id": "ba9c8c16-f908-4173-affa-f813f7f8cd13",
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      "name": "AIR TEMPERATURE",
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      "display_name": "CLIMATE CHANGE",
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      "display_name": "CLIMATE CHANGE",
            
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      "name": "CLIMATE CHANGE",
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    },
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    },
            
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    {
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    {
            
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      "display_name": "CMIP5",
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      "display_name": "CMIP5",
            
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      "id": "597c96bb-3f07-481a-8bb3-3970d70f2b02",
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      "id": "597c96bb-3f07-481a-8bb3-3970d70f2b02",
            
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      "name": "CMIP5",
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      "name": "CMIP5",
            
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      "state": "active",
            
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    {
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      "display_name": "OROGRAPHIC PRECIPITATION",
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      "display_name": "OROGRAPHIC PRECIPITATION",
            
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      "id": "41f05480-cd00-4869-b12d-7963ae6aa883",
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      "id": "41f05480-cd00-4869-b12d-7963ae6aa883",
            
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      "name": "OROGRAPHIC PRECIPITATION",
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      "name": "OROGRAPHIC PRECIPITATION",
            
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      "state": "active",
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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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      "display_name": "PRECIPITATION AMOUNT",
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      "display_name": "PRECIPITATION AMOUNT",
            
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      "id": "5a5973bc-eb20-4d03-8c5e-b7351da35807",
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      "id": "5a5973bc-eb20-4d03-8c5e-b7351da35807",
            
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      "name": "PRECIPITATION AMOUNT",
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      "name": "PRECIPITATION AMOUNT",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
157
  "title": "High resolution monthly precipitation and temperature 
157
  "title": "High resolution monthly precipitation and temperature 
            
158
timeseries for the period 2006-2100",
158
timeseries for the period 2006-2100",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": null,
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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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}