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{
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{
            
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  "author": "Fang Wang",
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  "author": "Fang Wang",
            
3
  "author_email": "fzw0024@auburn.edu",
3
  "author_email": "fzw0024@auburn.edu",
            
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  "creator_user_id": "383a0dce-09ad-42af-8eb5-02327d57d2a3",
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  "creator_user_id": "383a0dce-09ad-42af-8eb5-02327d57d2a3",
            
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  "extras": [
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  "extras": [
            
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    {
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    {
            
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      "key": "ISO.author.1",
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      "key": "ISO.author.1",
            
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      "value": "Di Tian <tiandi@auburn.edu>"
8
      "value": "Di Tian <tiandi@auburn.edu>"
            
9
    },
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    },
            
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    {
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    {
            
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      "key": "spatial",
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      "key": "spatial",
            
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      "value": "{\"type\": \"Polygon\", 
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      "value": "{\"type\": \"Polygon\", 
            
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":[[[-94.5,26],[-94.5,35.25],[-84.25,35.25],[-84.25,26],[-94.5,26]]]}"
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":[[[-94.5,26],[-94.5,35.25],[-84.25,35.25],[-84.25,26],[-94.5,26]]]}"
            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [],
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  "groups": [],
            
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  "id": "4070e122-eda3-4dfd-968c-72fa6046e7a8",
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  "id": "4070e122-eda3-4dfd-968c-72fa6046e7a8",
            
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  "isopen": true,
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  "isopen": true,
            
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  "license_id": "other-open",
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  "license_id": "other-open",
            
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  "license_title": "Other (Open)",
20
  "license_title": "Other (Open)",
            
21
  "maintainer": "data@disl.edu",
21
  "maintainer": "data@disl.edu",
            
22
  "maintainer_email": "data@disl.edu",
22
  "maintainer_email": "data@disl.edu",
            
23
  "metadata_created": "2023-05-10T19:59:57.832797",
23
  "metadata_created": "2023-05-10T19:59:57.832797",
            
n
24
  "metadata_modified": "2023-05-11T17:37:46.892148",
n
24
  "metadata_modified": "2023-05-11T17:38:48.948315",
            
25
  "name": 
25
  "name": 
            
26
ownscaled-and-bias-corrected-dataset-for-multiple-gcms-and-variables",
26
ownscaled-and-bias-corrected-dataset-for-multiple-gcms-and-variables",
            
27
  "notes": "### Abstract\r\nUnderstanding the impact of climate 
27
  "notes": "### Abstract\r\nUnderstanding the impact of climate 
            
28
variability and change is of great importance for developing 
28
variability and change is of great importance for developing 
            
29
adaptation \r\nand mitigation strategies. Coarse resolution data sets 
29
adaptation \r\nand mitigation strategies. Coarse resolution data sets 
            
30
such as simulations of general circulation models (GCMs) \r\nare 
30
such as simulations of general circulation models (GCMs) \r\nare 
            
31
important for reconstructing historical climate and predicting the 
31
important for reconstructing historical climate and predicting the 
            
32
future. However, scale discrepancy and \r\nbiases limit the coarse 
32
future. However, scale discrepancy and \r\nbiases limit the coarse 
            
33
resolution data sets from being directly used for impact assessments 
33
resolution data sets from being directly used for impact assessments 
            
34
and decision making. \r\nOne solution for bridging this gap is to 
34
and decision making. \r\nOne solution for bridging this gap is to 
            
35
downscale and bias correct coarse resolution data to the local 
35
downscale and bias correct coarse resolution data to the local 
            
36
scale.\r\n\r\n### Purpose\r\nWe bias corrected and downscaled 9 
36
scale.\r\n\r\n### Purpose\r\nWe bias corrected and downscaled 9 
            
37
climate variables for 5 popular GCMs from the latest CMIP6 \r\nwith a 
37
climate variables for 5 popular GCMs from the latest CMIP6 \r\nwith a 
            
38
widly used method, namely quantile delta mapping (QDM). \r\nThe 
38
widly used method, namely quantile delta mapping (QDM). \r\nThe 
            
39
dataset has spatial resolution of 0.25 degree and daily temporal 
39
dataset has spatial resolution of 0.25 degree and daily temporal 
            
40
scale. For each GCM, \r\ntwo emission levels are included(ssp126 as 
40
scale. For each GCM, \r\ntwo emission levels are included(ssp126 as 
            
41
low emission level and ssp585 as high emission level). \r\nThe names 
41
low emission level and ssp585 as high emission level). \r\nThe names 
            
42
of the 5 GCMs are EC-Earth3, MPI-ESM1-2-HR, MRI-ESM2-0, 
42
of the 5 GCMs are EC-Earth3, MPI-ESM1-2-HR, MRI-ESM2-0, 
            
43
IPSL-CM6A-LR,and GFDL-ESM4. \r\nThe 9 variables include daily total 
43
IPSL-CM6A-LR,and GFDL-ESM4. \r\nThe 9 variables include daily total 
            
44
precipitation (pr), daily maximum near-surface air 
44
precipitation (pr), daily maximum near-surface air 
            
45
temperature(tasmax), \r\ndaily minimum near-surface air temperature 
45
temperature(tasmax), \r\ndaily minimum near-surface air temperature 
            
46
(tasmin),eastward near-surface wind (uas),northward \r\nnear-surface 
46
(tasmin),eastward near-surface wind (uas),northward \r\nnear-surface 
            
47
wind (vas),near-surface relative humidity (hurs), surface downwelling 
47
wind (vas),near-surface relative humidity (hurs), surface downwelling 
            
48
shortwave radiation (rsds), \r\nsurface downwelling longwave radiation 
48
shortwave radiation (rsds), \r\nsurface downwelling longwave radiation 
            
49
(rlds) and sea level pressure (psl). The dataset will be used as 
49
(rlds) and sea level pressure (psl). The dataset will be used as 
            
50
forcings \r\nfor the watershed modeling and physical/biogeochemical 
50
forcings \r\nfor the watershed modeling and physical/biogeochemical 
            
51
modeling around the bay area to explore adaptation and \r\nmitigation 
51
modeling around the bay area to explore adaptation and \r\nmitigation 
            
52
strategies.\r\n\r\n**DOI: 
52
strategies.\r\n\r\n**DOI: 
            
53
[10.57778/wqdc-q670](https://doi.org/10.57778/wqdc-q670)**\r\n\r\n### 
53
[10.57778/wqdc-q670](https://doi.org/10.57778/wqdc-q670)**\r\n\r\n### 
            
54
Suggested Citation\r\nWang, F., & Tian, D. (2023). Downscaled and bias 
54
Suggested Citation\r\nWang, F., & Tian, D. (2023). Downscaled and bias 
            
55
corrected dataset for multiple GCMs and variables (Version 1.0) [Data 
55
corrected dataset for multiple GCMs and variables (Version 1.0) [Data 
            
56
set]. Dauphin Island Sea Lab. 
56
set]. Dauphin Island Sea Lab. 
            
57
https://doi.org/10.57778/WQDC-Q670\r\n\r\n### Related Publication 
57
https://doi.org/10.57778/WQDC-Q670\r\n\r\n### Related Publication 
            
58
Citation",
58
Citation",
            
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59
  "num_resources": 5,
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  "num_resources": 6,
            
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  "num_tags": 9,
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  "num_tags": 9,
            
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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": "2022-07-22T03:25:13.329710",
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    "created": "2022-07-22T03:25:13.329710",
            
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    "description": "The Dauphin Island Sea Lab's (DISL) mission is to 
64
    "description": "The Dauphin Island Sea Lab's (DISL) mission is to 
            
65
become a center for transformative U.S. oceanic and coastal research 
65
become a center for transformative U.S. oceanic and coastal research 
            
66
and education.. Founded in 1971 by the State of Alabama Legislature to 
66
and education.. Founded in 1971 by the State of Alabama Legislature to 
            
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maximize the marine sciences capabilities of several Alabama 
67
maximize the marine sciences capabilities of several Alabama 
            
68
institutions and minimize duplication. \r\n\r\nLocated on the eastern 
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institutions and minimize duplication. \r\n\r\nLocated on the eastern 
            
69
tip of Dauphin Island, a barrier island in the northern Gulf of 
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tip of Dauphin Island, a barrier island in the northern Gulf of 
            
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Mexico, DISL is surrounded by Mobile Bay, the Mississippi Sound, and 
70
Mexico, DISL is surrounded by Mobile Bay, the Mississippi Sound, and 
            
71
the waters of the Gulf, making it a perfect location to conduct a wide 
71
the waters of the Gulf, making it a perfect location to conduct a wide 
            
72
range of marine science activity. \r\n\r\n[The University Programs 
72
range of marine science activity. \r\n\r\n[The University Programs 
            
73
(UP)](https://www.disl.edu/univ-prog/) serves the students of the 
73
(UP)](https://www.disl.edu/univ-prog/) serves the students of the 
            
74
Marine Environmental Sciences Consortium\u2019s (MESC) 22 public and 
74
Marine Environmental Sciences Consortium\u2019s (MESC) 22 public and 
            
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private four-year colleges and universities through graduate and 
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private four-year colleges and universities through graduate and 
            
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undergraduate programs. Throughout the year, graduate students conduct 
76
undergraduate programs. Throughout the year, graduate students conduct 
            
77
research, and attend classes while completing their degree under the 
77
research, and attend classes while completing their degree under the 
            
78
mentorship of faculty and staff at the Dauphin Island Sea Lab.  
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mentorship of faculty and staff at the Dauphin Island Sea Lab.  
            
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\r\n\r\n[The Discovery Hall Programs (DHP)](https://www.disl.edu/dhp/) 
79
\r\n\r\n[The Discovery Hall Programs (DHP)](https://www.disl.edu/dhp/) 
            
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oversees educational programs for K-12 field programs, 
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oversees educational programs for K-12 field programs, 
            
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teacher-training, and community outreach opportunities.  \r\n[The 
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teacher-training, and community outreach opportunities.  \r\n[The 
            
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Estuarium](https://www.disl.edu/aquarium/), our public aquarium 
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Estuarium](https://www.disl.edu/aquarium/), our public aquarium 
            
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located on the Dauphin Island Sea Lab campus, is a part of DHP's 
83
located on the Dauphin Island Sea Lab campus, is a part of DHP's 
            
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educational outreach mission. The Estuarium focuses solely on the 
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educational outreach mission. The Estuarium focuses solely on the 
            
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Mobile-Tensaw Estuary System. The BayMobile allows DHP educators to 
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Mobile-Tensaw Estuary System. The BayMobile allows DHP educators to 
            
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bring marine science to students across Alabama in the classroom and 
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bring marine science to students across Alabama in the classroom and 
            
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at community events. \r\n\r\nResearch programs at the Dauphin Island 
87
at community events. \r\n\r\nResearch programs at the Dauphin Island 
            
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Sea Lab range from biogeochemistry and oceanography to ecosystem 
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Sea Lab range from biogeochemistry and oceanography to ecosystem 
            
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ecology. While much of our research focuses on the near-shore and 
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ecology. While much of our research focuses on the near-shore and 
            
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estuarine processes of the northern Gulf of Mexico, field sites of our 
90
estuarine processes of the northern Gulf of Mexico, field sites of our 
            
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internationally-renowned faculty also include the Arctic, Mexico, 
91
internationally-renowned faculty also include the Arctic, Mexico, 
            
92
Australia, and other countries.\r\n\r\nThe Dauphin Island Sea Lab also 
92
Australia, and other countries.\r\n\r\nThe Dauphin Island Sea Lab also 
            
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offers state and local government, industry, and agency 
93
offers state and local government, industry, and agency 
            
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decision-makers a range of coastal zone management services, including 
94
decision-makers a range of coastal zone management services, including 
            
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access to the nationally acclaimed data management center. Armed with 
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access to the nationally acclaimed data management center. Armed with 
            
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data through the DISL data management center, entities can make 
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data through the DISL data management center, entities can make 
            
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well-informed decisions and sound policies while considering 
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well-informed decisions and sound policies while considering 
            
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environmental impact. Another key contributor to successful coastal 
98
environmental impact. Another key contributor to successful coastal 
            
99
zone management is the Mobile Bay National Estuary Program, which 
99
zone management is the Mobile Bay National Estuary Program, which 
            
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falls within the services of DISL.\r\n\r\n",
100
falls within the services of DISL.\r\n\r\n",
            
101
    "id": "cb136e67-d862-4b9e-af1c-e5c564cee512",
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    "id": "cb136e67-d862-4b9e-af1c-e5c564cee512",
            
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    "image_url": 
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    "image_url": 
            
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"2022-07-29-144848.512466DISL-centered-logo-w-Tag-CMYK.svg",
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"2022-07-29-144848.512466DISL-centered-logo-w-Tag-CMYK.svg",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "dauphin-island-sea-lab",
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    "name": "dauphin-island-sea-lab",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Dauphin Island Sea Lab",
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    "title": "Dauphin Island Sea Lab",
            
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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": "cb136e67-d862-4b9e-af1c-e5c564cee512",
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  "owner_org": "cb136e67-d862-4b9e-af1c-e5c564cee512",
            
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  "private": false,
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  "private": false,
            
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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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  "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": "2023-05-10T20:02:36.331262",
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      "created": "2023-05-10T20:02:36.331262",
            
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "datastore_contains_all_records_of_source_file": false,
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      "datastore_contains_all_records_of_source_file": false,
            
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      "description": "**Filesize: 7.6GB**\r\n\r\nAll the original GCM 
121
      "description": "**Filesize: 7.6GB**\r\n\r\nAll the original GCM 
            
122
data without BC and downscaling\r\n\r\n - CMIP6_GCMs/MPI-ESM1-2-HR                       
122
data without BC and downscaling\r\n\r\n - CMIP6_GCMs/MPI-ESM1-2-HR                       
            
123
# GCM MPI-ESM1-2-HR  \r\n - CMIP6_GCMs/MPI-ESM1-2-HR/ssp126           
123
# GCM MPI-ESM1-2-HR  \r\n - CMIP6_GCMs/MPI-ESM1-2-HR/ssp126           
            
124
# GCM MPI-ESM1-2-HR for the low emssion level ssp126(2015 to 2100)\r\n 
124
# GCM MPI-ESM1-2-HR for the low emssion level ssp126(2015 to 2100)\r\n 
            
125
- CMIP6_GCMs/MPI-ESM1-2-HR/ssp585           # GCM MPI-ESM1-2-HR for 
125
- CMIP6_GCMs/MPI-ESM1-2-HR/ssp585           # GCM MPI-ESM1-2-HR for 
            
126
the high emssion level ssp585(2015 to 2100)\r\n - 
126
the high emssion level ssp585(2015 to 2100)\r\n - 
            
127
CMIP6_GCMs/MPI-ESM1-2-HR/historical       # GCM MPI-ESM1-2-HR in the 
127
CMIP6_GCMs/MPI-ESM1-2-HR/historical       # GCM MPI-ESM1-2-HR in the 
            
128
historical period (1979 to 2014)\r\n - CMIP6_GCMs/EC-Earth3                      
128
historical period (1979 to 2014)\r\n - CMIP6_GCMs/EC-Earth3                      
            
129
# GCM EC-Earth3 \r\n - CMIP6_GCMs/EC-Earth3/ssp126               # GCM 
129
# GCM EC-Earth3 \r\n - CMIP6_GCMs/EC-Earth3/ssp126               # GCM 
            
130
EC-Earth3 for the low emssion level ssp126(2015 to 2100)\r\n - 
130
EC-Earth3 for the low emssion level ssp126(2015 to 2100)\r\n - 
            
131
CMIP6_GCMs/EC-Earth3/ssp585               # GCM EC-Earth3 for the high 
131
CMIP6_GCMs/EC-Earth3/ssp585               # GCM EC-Earth3 for the high 
            
132
emssion level ssp585(2015 to 2100)\r\n - 
132
emssion level ssp585(2015 to 2100)\r\n - 
            
133
CMIP6_GCMs/EC-Earth3/historical           # GCM EC-Earth3 in the 
133
CMIP6_GCMs/EC-Earth3/historical           # GCM EC-Earth3 in the 
            
134
historical period (1979 to 2014)\r\n - CMIP6_GCMs/MRI-ESM2-0                     
134
historical period (1979 to 2014)\r\n - CMIP6_GCMs/MRI-ESM2-0                     
            
135
# GCM MRI-ESM2-0\r\n - CMIP6_GCMs/MRI-ESM2-0/ssp126              # GCM 
135
# GCM MRI-ESM2-0\r\n - CMIP6_GCMs/MRI-ESM2-0/ssp126              # GCM 
            
136
MRI-ESM2-0 for the low emssion level ssp126(2015 to 2100)\r\n - 
136
MRI-ESM2-0 for the low emssion level ssp126(2015 to 2100)\r\n - 
            
137
CMIP6_GCMs/MRI-ESM2-0/ssp585              # GCM MRI-ESM2-0 for the 
137
CMIP6_GCMs/MRI-ESM2-0/ssp585              # GCM MRI-ESM2-0 for the 
            
138
high emssion level ssp585(2015 to 2100)\r\n - 
138
high emssion level ssp585(2015 to 2100)\r\n - 
            
139
CMIP6_GCMs/MRI-ESM2-0/historical          # GCM MRI-ESM2-0 in the 
139
CMIP6_GCMs/MRI-ESM2-0/historical          # GCM MRI-ESM2-0 in the 
            
140
historical period (1979 to 2014)\r\n - CMIP6_GCMs/IPSL-CM6A-LR                   
140
historical period (1979 to 2014)\r\n - CMIP6_GCMs/IPSL-CM6A-LR                   
            
141
# GCM IPSL-CM6A-LR                 \r\n - 
141
# GCM IPSL-CM6A-LR                 \r\n - 
            
142
CMIP6_GCMs/IPSL-CM6A-LR/ssp126            # GCM IPSL-CM6A-LR for the 
142
CMIP6_GCMs/IPSL-CM6A-LR/ssp126            # GCM IPSL-CM6A-LR for the 
            
143
low emssion level ssp126(2015 to 2100)\r\n - 
143
low emssion level ssp126(2015 to 2100)\r\n - 
            
144
CMIP6_GCMs/IPSL-CM6A-LR/ssp585            # GCM IPSL-CM6A-LR for the 
144
CMIP6_GCMs/IPSL-CM6A-LR/ssp585            # GCM IPSL-CM6A-LR for the 
            
145
high emssion level ssp585(2015 to 2100)\r\n - 
145
high emssion level ssp585(2015 to 2100)\r\n - 
            
146
CMIP6_GCMs/IPSL-CM6A-LR/historical        # GCM IPSL-CM6A-LR in the 
146
CMIP6_GCMs/IPSL-CM6A-LR/historical        # GCM IPSL-CM6A-LR in the 
            
147
historical period (1979 to 2014)\r\n - CMIP6_GCMs/GFDL-ESM4                      
147
historical period (1979 to 2014)\r\n - CMIP6_GCMs/GFDL-ESM4                      
            
148
# GCM GFDL-ESM4                     \r\n - CMIP6_GCMs/GFDL-ESM4/ssp126               
148
# GCM GFDL-ESM4                     \r\n - CMIP6_GCMs/GFDL-ESM4/ssp126               
            
149
# GCM GFDL-ESM4 for the low emssion level ssp126(2015 to 2100)             
149
# GCM GFDL-ESM4 for the low emssion level ssp126(2015 to 2100)             
            
150
\r\n - CMIP6_GCMs/GFDL-ESM4/ssp585               # GCM GFDL-ESM4 for 
150
\r\n - CMIP6_GCMs/GFDL-ESM4/ssp585               # GCM GFDL-ESM4 for 
            
151
the high emssion level ssp126(2015 to 2100)\r\n - 
151
the high emssion level ssp126(2015 to 2100)\r\n - 
            
152
CMIP6_GCMs/GFDL-ESM4/historical           # GCM GFDL-ESM4 in the 
152
CMIP6_GCMs/GFDL-ESM4/historical           # GCM GFDL-ESM4 in the 
            
153
historical period (1979 to 2014)\r\n",
153
historical period (1979 to 2014)\r\n",
            
154
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      "name": "CMIP6_GCMs.tar.gz",
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      "name": "CMIP6_GCMs.tar.gz",
            
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      "package_id": "4070e122-eda3-4dfd-968c-72fa6046e7a8",
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      "state": "active",
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      "state": "active",
            
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      "url": 
167
      "url": 
            
168
-corrected-dataset-for-multiple-gcms-and-variables/CMIP6_GCMs.tar.gz",
168
-corrected-dataset-for-multiple-gcms-and-variables/CMIP6_GCMs.tar.gz",
            
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      "url_type": null
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      "url_type": null
            
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    },
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    },
            
171
    {
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    {
            
172
      "cache_last_updated": null,
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      "cache_last_updated": null,
            
173
      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2023-05-10T20:03:26.632543",
174
      "created": "2023-05-10T20:03:26.632543",
            
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "datastore_contains_all_records_of_source_file": false,
            
177
      "description": "**Filesize: 4.8GB**\r\n\r\nDaily ERA5 data for 
177
      "description": "**Filesize: 4.8GB**\r\n\r\nDaily ERA5 data for 
            
178
the 9 variables",
178
the 9 variables",
            
179
      "format": "TAR",
179
      "format": "TAR",
            
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      "hash": "",
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      "hash": "",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "ERA5-single-daily.tar.gz",
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      "name": "ERA5-single-daily.tar.gz",
            
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      "package_id": "4070e122-eda3-4dfd-968c-72fa6046e7a8",
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      "package_id": "4070e122-eda3-4dfd-968c-72fa6046e7a8",
            
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      "resource_type": null,
            
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      "size": null,
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      "size": null,
            
191
      "state": "active",
191
      "state": "active",
            
192
      "url": 
192
      "url": 
            
193
ted-dataset-for-multiple-gcms-and-variables/ERA5-single-daily.tar.gz",
193
ted-dataset-for-multiple-gcms-and-variables/ERA5-single-daily.tar.gz",
            
194
      "url_type": null
194
      "url_type": null
            
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    },
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    },
            
196
    {
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    {
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
198
      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2023-05-10T20:04:56.380015",
199
      "created": "2023-05-10T20:04:56.380015",
            
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "datastore_contains_all_records_of_source_file": false,
201
      "datastore_contains_all_records_of_source_file": false,
            
202
      "description": "**Filesize: 34GB**\r\n\r\n - ERA5-single-hourly      
202
      "description": "**Filesize: 34GB**\r\n\r\n - ERA5-single-hourly      
            
203
# Hourly ERA5 data directly downloaded from ECMWF website\r\n - 
203
# Hourly ERA5 data directly downloaded from ECMWF website\r\n - 
            
204
ERA5-single-hourly/hurs # Hourly ERA5 data for near-surface relative 
204
ERA5-single-hourly/hurs # Hourly ERA5 data for near-surface relative 
            
205
humidity (hurs)\r\n - ERA5-single-hourly/psl  # Hourly ERA5 data for 
205
humidity (hurs)\r\n - ERA5-single-hourly/psl  # Hourly ERA5 data for 
            
206
sea level pressure (psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 
206
sea level pressure (psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 
            
207
data for surface downwelling longwave radiation (rlds)\r\n - 
207
data for surface downwelling longwave radiation (rlds)\r\n - 
            
208
ERA5-single-hourly/rsds # Hourly ERA5 data for surface downwelling 
208
ERA5-single-hourly/rsds # Hourly ERA5 data for surface downwelling 
            
209
shortwave radiation (rsds)\r\n - ERA5-single-hourly/uas  # Hourly ERA5 
209
shortwave radiation (rsds)\r\n - ERA5-single-hourly/uas  # Hourly ERA5 
            
210
data for eastward near-surface wind (uas)\r\n - ERA5-single-hourly/vas  
210
data for eastward near-surface wind (uas)\r\n - ERA5-single-hourly/vas  
            
211
# Hourly ERA5 data for northward near-surface wind (vas)\r\n - 
211
# Hourly ERA5 data for northward near-surface wind (vas)\r\n - 
            
212
ERA5-single-hourly/d2m  # Hourly ERA5 data for 2m dew temperature\r\n 
212
ERA5-single-hourly/d2m  # Hourly ERA5 data for 2m dew temperature\r\n 
            
213
- ERA5-single-hourly/pr   # Hourly ERA5 data for total 
213
- ERA5-single-hourly/pr   # Hourly ERA5 data for total 
            
214
precipitation\r\n - ERA5-single-hourly/t2m  # Hourly ERA5 data for 2m 
214
precipitation\r\n - ERA5-single-hourly/t2m  # Hourly ERA5 data for 2m 
            
215
temperature\r\n",
215
temperature\r\n",
            
216
      "format": "TAR",
216
      "format": "TAR",
            
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      "hash": "",
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      "hash": "",
            
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      "last_modified": null,
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      "last_modified": null,
            
220
      "metadata_modified": "2023-05-11T17:37:46.897992",
220
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      "mimetype_inner": null,
            
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      "name": "ERA5-single-hourly.tar.gz",
223
      "name": "ERA5-single-hourly.tar.gz",
            
224
      "package_id": "4070e122-eda3-4dfd-968c-72fa6046e7a8",
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      "package_id": "4070e122-eda3-4dfd-968c-72fa6046e7a8",
            
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      "position": 2,
            
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227
      "size": null,
            
228
      "state": "active",
228
      "state": "active",
            
229
      "url": 
229
      "url": 
            
230
ed-dataset-for-multiple-gcms-and-variables/ERA5-single-hourly.tar.gz",
230
ed-dataset-for-multiple-gcms-and-variables/ERA5-single-hourly.tar.gz",
            
231
      "url_type": null
231
      "url_type": null
            
232
    },
232
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233
    {
233
    {
            
234
      "cache_last_updated": null,
234
      "cache_last_updated": null,
            
235
      "cache_url": null,
235
      "cache_url": null,
            
236
      "created": "2023-05-10T20:10:00.342335",
236
      "created": "2023-05-10T20:10:00.342335",
            
237
      "datastore_active": false,
237
      "datastore_active": false,
            
238
      "datastore_contains_all_records_of_source_file": false,
238
      "datastore_contains_all_records_of_source_file": false,
            
239
      "description": "**Filesize: 14GB**\r\n\r\nAll the BC/downscaled 
239
      "description": "**Filesize: 14GB**\r\n\r\nAll the BC/downscaled 
            
240
results through QDM\r\n\r\n - QDM/IPSL-CM6A-LR                          
240
results through QDM\r\n\r\n - QDM/IPSL-CM6A-LR                          
            
241
# BC/downscaled results for GCM IPSL-CM6A-LR                          
241
# BC/downscaled results for GCM IPSL-CM6A-LR                          
            
242
\r\n - QDM/IPSL-CM6A-LR/ssp126                   # BC/downscaled 
242
\r\n - QDM/IPSL-CM6A-LR/ssp126                   # BC/downscaled 
            
243
results for GCM IPSL-CM6A-LR of ssp126(2015 to 2100) \r\n - 
243
results for GCM IPSL-CM6A-LR of ssp126(2015 to 2100) \r\n - 
            
244
QDM/IPSL-CM6A-LR/ssp585                   # BC/downscaled results for 
244
QDM/IPSL-CM6A-LR/ssp585                   # BC/downscaled results for 
            
245
GCM IPSL-CM6A-LR of ssp585(2015 to 2100)\r\n - QDM/EC-Earth3                             
245
GCM IPSL-CM6A-LR of ssp585(2015 to 2100)\r\n - QDM/EC-Earth3                             
            
246
# BC/downscaled results for GCM EC-Earth3  \r\n - QDM/EC-Earth3/ssp126                      
246
# BC/downscaled results for GCM EC-Earth3  \r\n - QDM/EC-Earth3/ssp126                      
            
247
# BC/downscaled results for GCM EC-Earth3 of ssp126(2015 to 2100)                      
247
# BC/downscaled results for GCM EC-Earth3 of ssp126(2015 to 2100)                      
            
248
\r\n - QDM/EC-Earth3/ssp585                      # BC/downscaled 
248
\r\n - QDM/EC-Earth3/ssp585                      # BC/downscaled 
            
249
results for GCM EC-Earth3 of ssp585(2015 to 2100) \r\n - 
249
results for GCM EC-Earth3 of ssp585(2015 to 2100) \r\n - 
            
250
QDM/MPI-ESM1-2-HR                         # BC/downscaled results for 
250
QDM/MPI-ESM1-2-HR                         # BC/downscaled results for 
            
251
GCM MPI-ESM1-2-HR \r\n - QDM/MPI-ESM1-2-HR/ssp126                  # 
251
GCM MPI-ESM1-2-HR \r\n - QDM/MPI-ESM1-2-HR/ssp126                  # 
            
252
BC/downscaled results for GCM MPI-ESM1-2-HR of ssp126(2015 to 
252
BC/downscaled results for GCM MPI-ESM1-2-HR of ssp126(2015 to 
            
253
2100)\r\n - QDM/MPI-ESM1-2-HR/ssp585                  # BC/downscaled 
253
2100)\r\n - QDM/MPI-ESM1-2-HR/ssp585                  # BC/downscaled 
            
254
results for GCM MPI-ESM1-2-HR of ssp585(2015 to 2100)\r\n - 
254
results for GCM MPI-ESM1-2-HR of ssp585(2015 to 2100)\r\n - 
            
255
QDM/MRI-ESM2-0                            # BC/downscaled results for 
255
QDM/MRI-ESM2-0                            # BC/downscaled results for 
            
256
GCM MRI-ESM2-0 \r\n - QDM/MRI-ESM2-0/ssp126                     # 
256
GCM MRI-ESM2-0 \r\n - QDM/MRI-ESM2-0/ssp126                     # 
            
257
BC/downscaled results for GCM MRI-ESM2-0 of ssp126(2015 to 2100)\r\n - 
257
BC/downscaled results for GCM MRI-ESM2-0 of ssp126(2015 to 2100)\r\n - 
            
258
QDM/MRI-ESM2-0/ssp585                     # BC/downscaled results for 
258
QDM/MRI-ESM2-0/ssp585                     # BC/downscaled results for 
            
259
GCM MRI-ESM2-0 of ssp585(2015 to 2100)\r\n - QDM/GFDL-ESM4                             
259
GCM MRI-ESM2-0 of ssp585(2015 to 2100)\r\n - QDM/GFDL-ESM4                             
            
260
# BC/downscaled results for GCM GFDL-ESM4 \r\n - QDM/GFDL-ESM4/ssp126                      
260
# BC/downscaled results for GCM GFDL-ESM4 \r\n - QDM/GFDL-ESM4/ssp126                      
            
261
# BC/downscaled results for GCM GFDL-ESM4 of ssp126(2015 to 2100)\r\n 
261
# BC/downscaled results for GCM GFDL-ESM4 of ssp126(2015 to 2100)\r\n 
            
262
- QDM/GFDL-ESM4/ssp585.                     # BC/downscaled results 
262
- QDM/GFDL-ESM4/ssp585.                     # BC/downscaled results 
            
263
for GCM GFDL-ESM4 of ssp585(2015 to 2100)\r\n",
263
for GCM GFDL-ESM4 of ssp585(2015 to 2100)\r\n",
            
264
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271
      "name": "QDM.tar.gz",
271
      "name": "QDM.tar.gz",
            
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276
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276
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277
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277
      "url": 
            
278
nd-bias-corrected-dataset-for-multiple-gcms-and-variables/QDM.tar.gz",
278
nd-bias-corrected-dataset-for-multiple-gcms-and-variables/QDM.tar.gz",
            
279
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279
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280
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280
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281
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281
    {
            
282
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283
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283
      "cache_url": null,
            
284
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284
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285
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285
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286
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286
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287
      "description": "Jupyter notebook with extra information on the 
287
      "description": "Jupyter notebook with extra information on the 
            
288
dataset.\r\nRetrieved from: 
288
dataset.\r\nRetrieved from: 
            
289
https://github.com/OyBcSt/Climate_data/blob/main/index.ipynb",
289
https://github.com/OyBcSt/Climate_data/blob/main/index.ipynb",
            
290
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290
      "format": "",
            
291
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291
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