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{
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{
            
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  "author": "Fang Wang",
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  "author": "Fang Wang",
            
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  "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>"
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      "value": "Di Tian <tiandi@auburn.edu>"
            
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    },
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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)",
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  "license_title": "Other (Open)",
            
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  "maintainer": "data@disl.edu",
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  "maintainer": "data@disl.edu",
            
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  "maintainer_email": "data@disl.edu",
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  "maintainer_email": "data@disl.edu",
            
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  "metadata_created": "2023-05-10T19:59:57.832797",
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  "metadata_created": "2023-05-10T19:59:57.832797",
            
n
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  "metadata_modified": "2023-05-11T17:36:57.262894",
n
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  "metadata_modified": "2023-05-11T17:37:25.048831",
            
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  "name": 
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  "name": 
            
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ownscaled-and-bias-corrected-dataset-for-multiple-gcms-and-variables",
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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 
            
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variability and change is of great importance for developing 
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variability and change is of great importance for developing 
            
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adaptation \r\nand mitigation strategies. Coarse resolution data sets 
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adaptation \r\nand mitigation strategies. Coarse resolution data sets 
            
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such as simulations of general circulation models (GCMs) \r\nare 
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such as simulations of general circulation models (GCMs) \r\nare 
            
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important for reconstructing historical climate and predicting the 
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important for reconstructing historical climate and predicting the 
            
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future. However, scale discrepancy and \r\nbiases limit the coarse 
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future. However, scale discrepancy and \r\nbiases limit the coarse 
            
33
resolution data sets from being directly used for impact assessments 
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resolution data sets from being directly used for impact assessments 
            
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and decision making. \r\nOne solution for bridging this gap is to 
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and decision making. \r\nOne solution for bridging this gap is to 
            
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downscale and bias correct coarse resolution data to the local 
35
downscale and bias correct coarse resolution data to the local 
            
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scale.\r\n\r\n### Purpose\r\nWe bias corrected and downscaled 9 
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scale.\r\n\r\n### Purpose\r\nWe bias corrected and downscaled 9 
            
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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 
            
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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 
            
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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 
            
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low emission level and ssp585 as high emission level). \r\nThe names 
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low emission level and ssp585 as high emission level). \r\nThe names 
            
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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, 
            
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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 
            
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precipitation (pr), daily maximum near-surface air 
44
precipitation (pr), daily maximum near-surface air 
            
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temperature(tasmax), \r\ndaily minimum near-surface air temperature 
45
temperature(tasmax), \r\ndaily minimum near-surface air temperature 
            
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(tasmin),eastward near-surface wind (uas),northward \r\nnear-surface 
46
(tasmin),eastward near-surface wind (uas),northward \r\nnear-surface 
            
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wind (vas),near-surface relative humidity (hurs), surface downwelling 
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wind (vas),near-surface relative humidity (hurs), surface downwelling 
            
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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 
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(rlds) and sea level pressure (psl). The dataset will be used as 
            
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forcings \r\nfor the watershed modeling and physical/biogeochemical 
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forcings \r\nfor the watershed modeling and physical/biogeochemical 
            
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modeling around the bay area to explore adaptation and \r\nmitigation 
51
modeling around the bay area to explore adaptation and \r\nmitigation 
            
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strategies.\r\n\r\n**DOI: 
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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 
            
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set]. Dauphin Island Sea Lab. 
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set]. Dauphin Island Sea Lab. 
            
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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 
            
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Citation",
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Citation",
            
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  "num_resources": 5,
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  "num_resources": 5,
            
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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 
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    "description": "The Dauphin Island Sea Lab's (DISL) mission is to 
            
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become a center for transformative U.S. oceanic and coastal research 
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become a center for transformative U.S. oceanic and coastal research 
            
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and education.. Founded in 1971 by the State of Alabama Legislature to 
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and education.. Founded in 1971 by the State of Alabama Legislature to 
            
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maximize the marine sciences capabilities of several Alabama 
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maximize the marine sciences capabilities of several Alabama 
            
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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 
            
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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 
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Mexico, DISL is surrounded by Mobile Bay, the Mississippi Sound, and 
            
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the waters of the Gulf, making it a perfect location to conduct a wide 
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the waters of the Gulf, making it a perfect location to conduct a wide 
            
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range of marine science activity. \r\n\r\n[The University Programs 
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range of marine science activity. \r\n\r\n[The University Programs 
            
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(UP)](https://www.disl.edu/univ-prog/) serves the students of the 
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(UP)](https://www.disl.edu/univ-prog/) serves the students of the 
            
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Marine Environmental Sciences Consortium\u2019s (MESC) 22 public and 
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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 
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undergraduate programs. Throughout the year, graduate students conduct 
            
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research, and attend classes while completing their degree under the 
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research, and attend classes while completing their degree under the 
            
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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/) 
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\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 
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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 
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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 
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estuarine processes of the northern Gulf of Mexico, field sites of our 
            
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internationally-renowned faculty also include the Arctic, Mexico, 
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internationally-renowned faculty also include the Arctic, Mexico, 
            
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Australia, and other countries.\r\n\r\nThe Dauphin Island Sea Lab also 
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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 
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offers state and local government, industry, and agency 
            
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decision-makers a range of coastal zone management services, including 
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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 
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environmental impact. Another key contributor to successful coastal 
            
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zone management is the Mobile Bay National Estuary Program, which 
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zone management is the Mobile Bay National Estuary Program, which 
            
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falls within the services of DISL.\r\n\r\n",
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falls within the services of DISL.\r\n\r\n",
            
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    "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 
            
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data without BC and downscaling\r\n\r\n - CMIP6_GCMs/MPI-ESM1-2-HR                       
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data without BC and downscaling\r\n\r\n - CMIP6_GCMs/MPI-ESM1-2-HR                       
            
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# GCM MPI-ESM1-2-HR  \r\n - CMIP6_GCMs/MPI-ESM1-2-HR/ssp126           
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# GCM MPI-ESM1-2-HR  \r\n - CMIP6_GCMs/MPI-ESM1-2-HR/ssp126           
            
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# GCM MPI-ESM1-2-HR for the low emssion level ssp126(2015 to 2100)\r\n 
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# GCM MPI-ESM1-2-HR for the low emssion level ssp126(2015 to 2100)\r\n 
            
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- CMIP6_GCMs/MPI-ESM1-2-HR/ssp585           # GCM MPI-ESM1-2-HR for 
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- CMIP6_GCMs/MPI-ESM1-2-HR/ssp585           # GCM MPI-ESM1-2-HR for 
            
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the high emssion level ssp585(2015 to 2100)\r\n - 
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the high emssion level ssp585(2015 to 2100)\r\n - 
            
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CMIP6_GCMs/MPI-ESM1-2-HR/historical       # GCM MPI-ESM1-2-HR in the 
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CMIP6_GCMs/MPI-ESM1-2-HR/historical       # GCM MPI-ESM1-2-HR in the 
            
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historical period (1979 to 2014)\r\n - CMIP6_GCMs/EC-Earth3                      
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historical period (1979 to 2014)\r\n - CMIP6_GCMs/EC-Earth3                      
            
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# GCM EC-Earth3 \r\n - CMIP6_GCMs/EC-Earth3/ssp126               # GCM 
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# GCM EC-Earth3 \r\n - CMIP6_GCMs/EC-Earth3/ssp126               # GCM 
            
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EC-Earth3 for the low emssion level ssp126(2015 to 2100)\r\n - 
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EC-Earth3 for the low emssion level ssp126(2015 to 2100)\r\n - 
            
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CMIP6_GCMs/EC-Earth3/ssp585               # GCM EC-Earth3 for the high 
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CMIP6_GCMs/EC-Earth3/ssp585               # GCM EC-Earth3 for the high 
            
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emssion level ssp585(2015 to 2100)\r\n - 
132
emssion level ssp585(2015 to 2100)\r\n - 
            
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CMIP6_GCMs/EC-Earth3/historical           # GCM EC-Earth3 in the 
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CMIP6_GCMs/EC-Earth3/historical           # GCM EC-Earth3 in the 
            
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historical period (1979 to 2014)\r\n - CMIP6_GCMs/MRI-ESM2-0                     
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historical period (1979 to 2014)\r\n - CMIP6_GCMs/MRI-ESM2-0                     
            
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# GCM MRI-ESM2-0\r\n - CMIP6_GCMs/MRI-ESM2-0/ssp126              # GCM 
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# GCM MRI-ESM2-0\r\n - CMIP6_GCMs/MRI-ESM2-0/ssp126              # GCM 
            
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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 - 
            
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CMIP6_GCMs/MRI-ESM2-0/ssp585              # GCM MRI-ESM2-0 for the 
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CMIP6_GCMs/MRI-ESM2-0/ssp585              # GCM MRI-ESM2-0 for the 
            
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high emssion level ssp585(2015 to 2100)\r\n - 
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high emssion level ssp585(2015 to 2100)\r\n - 
            
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CMIP6_GCMs/MRI-ESM2-0/historical          # GCM MRI-ESM2-0 in the 
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CMIP6_GCMs/MRI-ESM2-0/historical          # GCM MRI-ESM2-0 in the 
            
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historical period (1979 to 2014)\r\n - CMIP6_GCMs/IPSL-CM6A-LR                   
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historical period (1979 to 2014)\r\n - CMIP6_GCMs/IPSL-CM6A-LR                   
            
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# GCM IPSL-CM6A-LR                 \r\n - 
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# 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
      "format": "TAR",
154
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      "mimetype": "application/x-tar",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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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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      "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
169
      "url_type": null
            
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    },
170
    },
            
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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": "2023-05-10T20:03:26.632543",
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      "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,
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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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      "position": 1,
            
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      "size": null,
            
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      "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
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      "url_type": null
            
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    },
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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,
            
199
      "created": "2023-05-10T20:04:56.380015",
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      "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,
            
n
202
      "description": " - ERA5-single-hourly      # Hourly ERA5 data 
n
202
      "description": "**Filesize: 34GB**\r\n\r\n - ERA5-single-hourly      
            
203
directly downloaded from ECMWF website\r\n - ERA5-single-hourly/hurs # 
203
# Hourly ERA5 data directly downloaded from ECMWF website\r\n - 
            
204
Hourly ERA5 data for near-surface relative humidity (hurs)\r\n - 

            
205
ERA5-single-hourly/psl  # Hourly ERA5 data for sea level pressure 

            
206
(psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 data for surface 
204
ERA5-single-hourly/hurs # Hourly ERA5 data for near-surface relative 
            
207
downwelling longwave radiation (rlds)\r\n - ERA5-single-hourly/rsds # 

            
208
Hourly ERA5 data for surface downwelling shortwave radiation 

            
209
(rsds)\r\n - ERA5-single-hourly/uas  # Hourly ERA5 data for eastward 
205
humidity (hurs)\r\n - ERA5-single-hourly/psl  # Hourly ERA5 data for 
            
210
near-surface wind (uas)\r\n - ERA5-single-hourly/vas  # 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 - 
            
208
ERA5-single-hourly/rsds # Hourly ERA5 data for surface downwelling 
            
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  
            
211
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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      "id": "db6fe384-124b-4da9-bb40-e3960e06a288",
            
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      "last_modified": null,
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      "last_modified": null,
            
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      "metadata_modified": "2023-05-10T21:01:30.808969",
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      "mimetype": "application/x-tar",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "ERA5-single-hourly.tar.gz",
223
      "name": "ERA5-single-hourly.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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      "position": 2,
            
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      "resource_type": null,
            
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      "size": null,
227
      "size": null,
            
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      "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
            
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    },
            
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    {
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    {
            
234
      "cache_last_updated": null,
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      "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": "All the BC/downscaled results through 
239
      "description": "All the BC/downscaled results through 
            
240
QDM\r\n\r\n - QDM/IPSL-CM6A-LR                          # 
240
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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264
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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
      "url_type": null
279
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280
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280
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281
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281
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283
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283
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284
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285
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285
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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": "",
            
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291
      "hash": "",
            
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  ],
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  ],
            
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  "title": "Downscaled and bias corrected dataset for multiple GCMs 
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  "title": "Downscaled and bias corrected dataset for multiple GCMs 
            
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and variables",
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and variables",
            
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  "type": "dataset",
            
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  "version": ""
            
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}
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}