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f
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{
f
1
{
            
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  "author": "Diekmann, Christopher J.",
2
  "author": "Diekmann, Christopher J.",
            
3
  "author_email": "",
3
  "author_email": "",
            
n
n
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  "citation": [],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "doi": "10.35097/495",
6
  "doi": "10.35097/495",
            
6
  "doi_date_published": "2021",
7
  "doi_date_published": "2021",
            
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  "doi_publisher": "",
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  "doi_publisher": "",
            
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  "doi_status": "True",
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  "doi_status": "True",
            
9
  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Schneider, Matthias",
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      "extra_author": "Schneider, Matthias",
            
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n
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      "familyName": "Schneider",
            
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      "givenName": "Matthias",
            
12
      "orcid": "0000-0001-8452-0035"
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      "orcid": "0000-0001-8452-0035"
            
13
    },
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    },
            
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    {
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    {
            
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      "extra_author": "Ertl, Benjamin",
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      "extra_author": "Ertl, Benjamin",
            
n
n
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      "familyName": "Ertl",
            
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      "givenName": "Benjamin",
            
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      "orcid": "0000-0003-1431-2243"
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      "orcid": "0000-0003-1431-2243"
            
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    }
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    }
            
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  ],
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  ],
            
n
n
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  "familyName": "Diekmann",
            
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  "givenName": "Christopher J.",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "75d6367b-f3bc-430c-a933-7911b2026c19",
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  "id": "75d6367b-f3bc-430c-a933-7911b2026c19",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "CC BY 4.0 Attribution",
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  "license_id": "CC BY 4.0 Attribution",
            
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  "license_title": "CC BY 4.0 Attribution",
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  "license_title": "CC BY 4.0 Attribution",
            
24
  "metadata_created": "2023-01-12T13:30:39.848287",
31
  "metadata_created": "2023-01-12T13:30:39.848287",
            
t
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  "metadata_modified": "2023-08-04T09:24:21.741921",
t
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  "metadata_modified": "2024-11-28T13:15:17.798625",
            
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  "name": "rdr-doi-10-35097-495",
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  "name": "rdr-doi-10-35097-495",
            
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  "notes": "Abstract: This is a re-gridded Level-3 dataset of the 
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  "notes": "Abstract: This is a re-gridded Level-3 dataset of the 
            
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MUSICA IASI water isotopologue pair product. It is based on the 
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MUSICA IASI water isotopologue pair product. It is based on the 
            
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Level-2 datasets from the MUSICA IASI full retrieval 
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Level-2 datasets from the MUSICA IASI full retrieval 
            
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(https://dx.doi.org/10.35097/408) and the a posteriori processed {H2O, 
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(https://dx.doi.org/10.35097/408) and the a posteriori processed {H2O, 
            
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\u03b4D} pairs (https://dx.doi.org/10.35097/415), which use the 
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\u03b4D} pairs (https://dx.doi.org/10.35097/415), which use the 
            
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thermal nadir radiances measured by the IASI instrument aboard the 
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thermal nadir radiances measured by the IASI instrument aboard the 
            
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Metop satellites. This Level-3 dataset consists of quality-filtered 
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Metop satellites. This Level-3 dataset consists of quality-filtered 
            
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{H2O, \u03b4D} pair data re-gridded on a regular 1\u00b0x1\u00b0 grid 
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{H2O, \u03b4D} pair data re-gridded on a regular 1\u00b0x1\u00b0 grid 
            
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and interpolated on the fixed atmospheric altitude levels 3.0, 4.2 and 
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and interpolated on the fixed atmospheric altitude levels 3.0, 4.2 and 
            
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6.4 km above sea level. It provides H2O and \u03b4D (including their 
43
6.4 km above sea level. It provides H2O and \u03b4D (including their 
            
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errors) as well as information about the atmospheric temperature and 
44
errors) as well as information about the atmospheric temperature and 
            
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pressure and some metrics documenting the representativeness of the 
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pressure and some metrics documenting the representativeness of the 
            
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horizontally re-gridded data. The Level-3 data are provided globally 
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horizontally re-gridded data. The Level-3 data are provided globally 
            
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and twice daily (morning and evening overpass times) and currently 
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and twice daily (morning and evening overpass times) and currently 
            
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comprise the full period between October 2014 and December 2020 
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comprise the full period between October 2014 and December 2020 
            
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(leading to a data volume of about 22GB). Depending on available 
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(leading to a data volume of about 22GB). Depending on available 
            
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resources, this dataset will be updated to current measurements (for 
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resources, this dataset will be updated to current measurements (for 
            
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data availability updates please refer to the MUSICA IASI data web 
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data availability updates please refer to the MUSICA IASI data web 
            
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page https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php). 
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page https://www.imk-asf.kit.edu/english/musica-iasi-h2oiso-v2.php). 
            
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Details on this dataset are summarized in the file \"ReadMe.pdf\". ",
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Details on this dataset are summarized in the file \"ReadMe.pdf\". ",
            
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  "num_resources": 0,
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  "num_resources": 0,
            
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  "num_tags": 11,
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  "num_tags": 11,
            
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  "orcid": "0000-0002-8961-5241",
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  "orcid": "0000-0002-8961-5241",
            
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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": "2023-01-12T13:30:23.238233",
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    "created": "2023-01-12T13:30:23.238233",
            
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    "description": "RADAR (Research Data Repository) is a 
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    "description": "RADAR (Research Data Repository) is a 
            
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cross-disciplinary repository for archiving and publishing research 
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cross-disciplinary repository for archiving and publishing research 
            
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data from completed scientific studies and projects. The focus is on 
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data from completed scientific studies and projects. The focus is on 
            
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research data from subjects that do not yet have their own 
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research data from subjects that do not yet have their own 
            
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discipline-specific infrastructures for research data management. ",
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discipline-specific infrastructures for research data management. ",
            
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    "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
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    "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
            
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    "image_url": "radar-logo.svg",
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    "image_url": "radar-logo.svg",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "radar",
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    "name": "radar",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "RADAR",
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    "title": "RADAR",
            
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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": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
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  "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9",
            
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  "private": false,
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  "private": false,
            
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  "production_year": "2021",
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  "production_year": "2021",
            
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  "publication_year": "2021",
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  "publication_year": "2021",
            
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  "publishers": [
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  "publishers": [
            
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    {
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    {
            
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      "publisher": "Institute of Meteorology and Climate Research, 
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      "publisher": "Institute of Meteorology and Climate Research, 
            
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Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe 
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Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe 
            
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Institute of Technology (KIT)"
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Institute of Technology (KIT)"
            
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    }
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    }
            
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  ],
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  ],
            
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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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  "repository_name": "RADAR (Research Data Repository)",
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  "repository_name": "RADAR (Research Data Repository)",
            
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  "resources": [],
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  "resources": [],
            
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  "services_used_list": "",
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  "services_used_list": "",
            
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  "source_metadata_created": "2021",
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  "source_metadata_created": "2021",
            
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  "source_metadata_modified": "",
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  "source_metadata_modified": "",
            
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  "state": "active",
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  "state": "active",
            
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  "subject_areas": [
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  "subject_areas": [
            
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    {
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    {
            
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      "subject_area_additional": "",
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      "subject_area_additional": "",
            
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      "subject_area_name": "Geological Science"
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      "subject_area_name": "Geological Science"
            
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    },
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    },
            
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    {
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    {
            
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      "subject_area_additional": "Atmosphere",
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      "subject_area_additional": "Atmosphere",
            
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      "subject_area_name": "Other"
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      "subject_area_name": "Other"
            
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    }
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    }
            
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  ],
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  ],
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "Atmospheric Composition",
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      "display_name": "Atmospheric Composition",
            
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      "id": "4f65ce36-9db7-415b-b5ab-4abdc0163823",
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      "id": "4f65ce36-9db7-415b-b5ab-4abdc0163823",
            
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      "name": "Atmospheric Composition",
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      "name": "Atmospheric Composition",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "H2O",
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      "display_name": "H2O",
            
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      "id": "16083e47-bb7c-4694-b288-1546a9d67035",
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      "id": "16083e47-bb7c-4694-b288-1546a9d67035",
            
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      "name": "H2O",
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      "name": "H2O",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "HDO",
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      "display_name": "HDO",
            
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      "id": "4727dfe5-9d8d-47d3-8625-cc4064f28d57",
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      "id": "4727dfe5-9d8d-47d3-8625-cc4064f28d57",
            
113
      "name": "HDO",
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      "name": "HDO",
            
114
      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "IASI",
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      "display_name": "IASI",
            
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      "id": "06ab87d9-dfe0-4a09-88a6-d77ac88eb479",
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      "id": "06ab87d9-dfe0-4a09-88a6-d77ac88eb479",
            
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      "name": "IASI",
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      "name": "IASI",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "MUSICA",
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      "display_name": "MUSICA",
            
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      "id": "fc0218e7-38cd-4e2e-ad93-90e676938466",
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      "id": "fc0218e7-38cd-4e2e-ad93-90e676938466",
            
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      "name": "MUSICA",
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      "name": "MUSICA",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Metop",
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      "display_name": "Metop",
            
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      "id": "7a7b5a5b-f9e1-47a7-9a04-7b9f9557c810",
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      "id": "7a7b5a5b-f9e1-47a7-9a04-7b9f9557c810",
            
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      "name": "Metop",
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      "name": "Metop",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Regular 1x1 Horizontal Grid",
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      "display_name": "Regular 1x1 Horizontal Grid",
            
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      "id": "f2231f6f-46c2-4efd-abab-c65613db4222",
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      "id": "f2231f6f-46c2-4efd-abab-c65613db4222",
            
141
      "name": "Regular 1x1 Horizontal Grid",
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      "name": "Regular 1x1 Horizontal Grid",
            
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      "state": "active",
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      "state": "active",
            
143
      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Remote Sensing",
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      "display_name": "Remote Sensing",
            
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      "id": "d5087db2-baa3-4aa5-bf19-a75154d99f42",
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      "id": "d5087db2-baa3-4aa5-bf19-a75154d99f42",
            
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      "name": "Remote Sensing",
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      "name": "Remote Sensing",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Satellite",
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      "display_name": "Satellite",
            
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      "id": "e10ee7fa-9b56-4094-a0f4-9d834b4f2bf8",
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      "id": "e10ee7fa-9b56-4094-a0f4-9d834b4f2bf8",
            
155
      "name": "Satellite",
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      "name": "Satellite",
            
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      "state": "active",
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      "state": "active",
            
157
      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
165
    },
            
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    {
166
    {
            
160
      "display_name": "Water Vapour",
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      "display_name": "Water Vapour",
            
161
      "id": "9945c0b4-8fe7-4086-875a-87d7725753ae",
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      "id": "9945c0b4-8fe7-4086-875a-87d7725753ae",
            
162
      "name": "Water Vapour",
169
      "name": "Water Vapour",
            
163
      "state": "active",
170
      "state": "active",
            
164
      "vocabulary_id": null
171
      "vocabulary_id": null
            
165
    },
172
    },
            
166
    {
173
    {
            
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      "display_name": "Water Vapour Isotopologues",
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      "display_name": "Water Vapour Isotopologues",
            
168
      "id": "097cebd9-d765-479e-a5f3-0c984cd35c3a",
175
      "id": "097cebd9-d765-479e-a5f3-0c984cd35c3a",
            
169
      "name": "Water Vapour Isotopologues",
176
      "name": "Water Vapour Isotopologues",
            
170
      "state": "active",
177
      "state": "active",
            
171
      "vocabulary_id": null
178
      "vocabulary_id": null
            
172
    }
179
    }
            
173
  ],
180
  ],
            
174
  "title": "Regular 1\u00b0x1\u00b0 re-gridded musica iasi water 
181
  "title": "Regular 1\u00b0x1\u00b0 re-gridded musica iasi water 
            
175
isotopologue pair dataset (a posteriori processing version 2)",
182
isotopologue pair dataset (a posteriori processing version 2)",
            
176
  "type": "vdataset",
183
  "type": "vdataset",
            
177
  "url": "https://doi.org/10.35097/495"
184
  "url": "https://doi.org/10.35097/495"
            
178
}
185
}