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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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  "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": "2023-05-11T17:35:39.967365",
n
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  "metadata_modified": "2023-05-11T17:36:11.281494",
            
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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",
            
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  "notes": "### Abstract\r\nUnderstanding the impact of climate 
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  "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 
34
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 
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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 
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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 
47
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,
            
n
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      "description": "### 7.6GB\r\nAll the original GCM data without 
n
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      "description": "#### Filesize: 7.6GB\r\nAll the original GCM 
            
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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 - 
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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 - 
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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
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      "name": "CMIP6_GCMs.tar.gz",
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      "name": "CMIP6_GCMs.tar.gz",
            
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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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    {
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    {
            
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      "cache_url": null,
            
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      "created": "2023-05-10T20:03:26.632543",
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      "description": "Daily ERA5 data for the 9 variables",
177
      "description": "Daily ERA5 data for the 9 variables",
            
178
      "format": "TAR",
178
      "format": "TAR",
            
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      "hash": "",
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      "hash": "",
            
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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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      "state": "active",
190
      "state": "active",
            
191
      "url": 
191
      "url": 
            
192
ted-dataset-for-multiple-gcms-and-variables/ERA5-single-daily.tar.gz",
192
ted-dataset-for-multiple-gcms-and-variables/ERA5-single-daily.tar.gz",
            
193
      "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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    {
            
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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": "2023-05-10T20:04:56.380015",
198
      "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,
200
      "datastore_contains_all_records_of_source_file": false,
            
201
      "description": " - ERA5-single-hourly      # Hourly ERA5 data 
201
      "description": " - ERA5-single-hourly      # Hourly ERA5 data 
            
202
directly downloaded from ECMWF website\r\n - ERA5-single-hourly/hurs # 
202
directly downloaded from ECMWF website\r\n - ERA5-single-hourly/hurs # 
            
203
Hourly ERA5 data for near-surface relative humidity (hurs)\r\n - 
203
Hourly ERA5 data for near-surface relative humidity (hurs)\r\n - 
            
204
ERA5-single-hourly/psl  # Hourly ERA5 data for sea level pressure 
204
ERA5-single-hourly/psl  # Hourly ERA5 data for sea level pressure 
            
205
(psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 data for surface 
205
(psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 data for surface 
            
206
downwelling longwave radiation (rlds)\r\n - ERA5-single-hourly/rsds # 
206
downwelling longwave radiation (rlds)\r\n - ERA5-single-hourly/rsds # 
            
207
Hourly ERA5 data for surface downwelling shortwave radiation 
207
Hourly ERA5 data for surface downwelling shortwave radiation 
            
208
(rsds)\r\n - ERA5-single-hourly/uas  # Hourly ERA5 data for eastward 
208
(rsds)\r\n - ERA5-single-hourly/uas  # Hourly ERA5 data for eastward 
            
209
near-surface wind (uas)\r\n - ERA5-single-hourly/vas  # Hourly ERA5 
209
near-surface wind (uas)\r\n - ERA5-single-hourly/vas  # Hourly ERA5 
            
210
data for northward near-surface wind (vas)\r\n - 
210
data for northward near-surface wind (vas)\r\n - 
            
211
ERA5-single-hourly/d2m  # Hourly ERA5 data for 2m dew temperature\r\n 
211
ERA5-single-hourly/d2m  # Hourly ERA5 data for 2m dew temperature\r\n 
            
212
- ERA5-single-hourly/pr   # Hourly ERA5 data for total 
212
- ERA5-single-hourly/pr   # Hourly ERA5 data for total 
            
213
precipitation\r\n - ERA5-single-hourly/t2m  # Hourly ERA5 data for 2m 
213
precipitation\r\n - ERA5-single-hourly/t2m  # Hourly ERA5 data for 2m 
            
214
temperature\r\n",
214
temperature\r\n",
            
215
      "format": "TAR",
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      "format": "TAR",
            
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      "hash": "",
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      "hash": "",
            
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      "last_modified": null,
            
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      "metadata_modified": "2023-05-10T21:01:30.808969",
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      "name": "ERA5-single-hourly.tar.gz",
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      "name": "ERA5-single-hourly.tar.gz",
            
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      "package_id": "4070e122-eda3-4dfd-968c-72fa6046e7a8",
            
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227
      "state": "active",
            
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      "url": 
228
      "url": 
            
229
ed-dataset-for-multiple-gcms-and-variables/ERA5-single-hourly.tar.gz",
229
ed-dataset-for-multiple-gcms-and-variables/ERA5-single-hourly.tar.gz",
            
230
      "url_type": null
230
      "url_type": null
            
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    },
            
232
    {
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    {
            
233
      "cache_last_updated": null,
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      "cache_last_updated": null,
            
234
      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2023-05-10T20:10:00.342335",
235
      "created": "2023-05-10T20:10:00.342335",
            
236
      "datastore_active": false,
236
      "datastore_active": false,
            
237
      "datastore_contains_all_records_of_source_file": false,
237
      "datastore_contains_all_records_of_source_file": false,
            
238
      "description": "All the BC/downscaled results through 
238
      "description": "All the BC/downscaled results through 
            
239
QDM\r\n\r\n - QDM/IPSL-CM6A-LR                          # 
239
QDM\r\n\r\n - QDM/IPSL-CM6A-LR                          # 
            
240
BC/downscaled results for GCM IPSL-CM6A-LR                          
240
BC/downscaled results for GCM IPSL-CM6A-LR                          
            
241
\r\n - QDM/IPSL-CM6A-LR/ssp126                   # BC/downscaled 
241
\r\n - QDM/IPSL-CM6A-LR/ssp126                   # BC/downscaled 
            
242
results for GCM IPSL-CM6A-LR of ssp126(2015 to 2100) \r\n - 
242
results for GCM IPSL-CM6A-LR of ssp126(2015 to 2100) \r\n - 
            
243
QDM/IPSL-CM6A-LR/ssp585                   # BC/downscaled results for 
243
QDM/IPSL-CM6A-LR/ssp585                   # BC/downscaled results for 
            
244
GCM IPSL-CM6A-LR of ssp585(2015 to 2100)\r\n - QDM/EC-Earth3                             
244
GCM IPSL-CM6A-LR of ssp585(2015 to 2100)\r\n - QDM/EC-Earth3                             
            
245
# BC/downscaled results for GCM EC-Earth3  \r\n - QDM/EC-Earth3/ssp126                      
245
# BC/downscaled results for GCM EC-Earth3  \r\n - QDM/EC-Earth3/ssp126                      
            
246
# BC/downscaled results for GCM EC-Earth3 of ssp126(2015 to 2100)                      
246
# BC/downscaled results for GCM EC-Earth3 of ssp126(2015 to 2100)                      
            
247
\r\n - QDM/EC-Earth3/ssp585                      # BC/downscaled 
247
\r\n - QDM/EC-Earth3/ssp585                      # BC/downscaled 
            
248
results for GCM EC-Earth3 of ssp585(2015 to 2100) \r\n - 
248
results for GCM EC-Earth3 of ssp585(2015 to 2100) \r\n - 
            
249
QDM/MPI-ESM1-2-HR                         # BC/downscaled results for 
249
QDM/MPI-ESM1-2-HR                         # BC/downscaled results for 
            
250
GCM MPI-ESM1-2-HR \r\n - QDM/MPI-ESM1-2-HR/ssp126                  # 
250
GCM MPI-ESM1-2-HR \r\n - QDM/MPI-ESM1-2-HR/ssp126                  # 
            
251
BC/downscaled results for GCM MPI-ESM1-2-HR of ssp126(2015 to 
251
BC/downscaled results for GCM MPI-ESM1-2-HR of ssp126(2015 to 
            
252
2100)\r\n - QDM/MPI-ESM1-2-HR/ssp585                  # BC/downscaled 
252
2100)\r\n - QDM/MPI-ESM1-2-HR/ssp585                  # BC/downscaled 
            
253
results for GCM MPI-ESM1-2-HR of ssp585(2015 to 2100)\r\n - 
253
results for GCM MPI-ESM1-2-HR of ssp585(2015 to 2100)\r\n - 
            
254
QDM/MRI-ESM2-0                            # BC/downscaled results for 
254
QDM/MRI-ESM2-0                            # BC/downscaled results for 
            
255
GCM MRI-ESM2-0 \r\n - QDM/MRI-ESM2-0/ssp126                     # 
255
GCM MRI-ESM2-0 \r\n - QDM/MRI-ESM2-0/ssp126                     # 
            
256
BC/downscaled results for GCM MRI-ESM2-0 of ssp126(2015 to 2100)\r\n - 
256
BC/downscaled results for GCM MRI-ESM2-0 of ssp126(2015 to 2100)\r\n - 
            
257
QDM/MRI-ESM2-0/ssp585                     # BC/downscaled results for 
257
QDM/MRI-ESM2-0/ssp585                     # BC/downscaled results for 
            
258
GCM MRI-ESM2-0 of ssp585(2015 to 2100)\r\n - QDM/GFDL-ESM4                             
258
GCM MRI-ESM2-0 of ssp585(2015 to 2100)\r\n - QDM/GFDL-ESM4                             
            
259
# BC/downscaled results for GCM GFDL-ESM4 \r\n - QDM/GFDL-ESM4/ssp126                      
259
# BC/downscaled results for GCM GFDL-ESM4 \r\n - QDM/GFDL-ESM4/ssp126                      
            
260
# BC/downscaled results for GCM GFDL-ESM4 of ssp126(2015 to 2100)\r\n 
260
# BC/downscaled results for GCM GFDL-ESM4 of ssp126(2015 to 2100)\r\n 
            
261
- QDM/GFDL-ESM4/ssp585.                     # BC/downscaled results 
261
- QDM/GFDL-ESM4/ssp585.                     # BC/downscaled results 
            
262
for GCM GFDL-ESM4 of ssp585(2015 to 2100)\r\n",
262
for GCM GFDL-ESM4 of ssp585(2015 to 2100)\r\n",
            
263
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276
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277
nd-bias-corrected-dataset-for-multiple-gcms-and-variables/QDM.tar.gz",
277
nd-bias-corrected-dataset-for-multiple-gcms-and-variables/QDM.tar.gz",
            
278
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285
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286
      "description": "Jupyter notebook with extra information on the 
286
      "description": "Jupyter notebook with extra information on the 
            
287
dataset.\r\nRetrieved from: 
287
dataset.\r\nRetrieved from: 
            
288
https://github.com/OyBcSt/Climate_data/blob/main/index.ipynb",
288
https://github.com/OyBcSt/Climate_data/blob/main/index.ipynb",
            
289
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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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}