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  "autonotes": "",
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  "category": "biological_characteristics",
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  "children": "",
            
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  "coastal-land-use-and-planning": [],
            
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  "conservation-types": [],
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  "conservation-types": [],
            
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  "creator_user_id": "1ae9c86d-9e1e-426b-9456-f69e06f3aac2",
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  "crs": [
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  "crs": [
            
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    "3035"
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  "domain_area": "baltic_sea",
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  "domain_area": "baltic_sea",
            
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  "ecosystem-services": [],
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  "environment-msfd-classes": [
            
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    "ecosystems-including-food-webs-biological-characteristics"
            
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  "environment-msfd-descriptors-criteria": [
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  "environment-msfd-descriptors-criteria": [
            
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    "d4-food-webs-d1-biodiversity-ecosystems",
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    "d4-food-webs-d1-biodiversity-ecosystems",
            
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    "d5-eutrophication"
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    "d5-eutrophication"
            
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  ],
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  ],
            
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  "environment-non-msfd-classes": [],
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  "environment-non-msfd-classes": [],
            
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  "environment-wfd": [],
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  "environment-wfd": [],
            
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  "groups": [],
            
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  "id": "eab27b73-0269-4556-969b-d584e9b0d5e1",
            
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  "isopen": true,
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  "isopen": true,
            
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  "language": "eng",
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  "language": "eng",
            
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  "legal-governance-planning-function": [],
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  "legal-governance-planning-function": [],
            
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  "legal-governance-planning-theme": [
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  "legal-governance-planning-theme": [
            
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    "environment-e-g-pollution-and-biodiversity"
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    "environment-e-g-pollution-and-biodiversity"
            
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  ],
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  ],
            
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  "legal-governance-planning-who-is-in-charge": "",
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  "legal-governance-planning-who-is-in-charge": "",
            
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  "license_id": "cc-by",
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  "license_id": "cc-by",
            
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  "license_title": "Creative Commons Attribution",
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  "license_title": "Creative Commons Attribution",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "maritime-activities": [],
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  "maritime-activities": [],
            
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  "metadata_completeness": "complete",
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  "metadata_completeness": "complete",
            
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  "metadata_created": "2024-07-25T14:36:55.398539",
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  "metadata_created": "2024-07-25T14:36:55.398539",
            
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  "metadata_modified": "2024-11-22T16:19:48.973209",
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  "metadata_modified": "2024-11-27T14:47:17.018071",
            
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  "name": "productive-surface-waters-chl-a-satellite-based",
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  "name": "productive-surface-waters-chl-a-satellite-based",
            
50
  "notes": "Springtime Chl-a concentration is here used as a proxy for 
50
  "notes": "Springtime Chl-a concentration is here used as a proxy for 
            
51
productive surface waters. In the Baltic Sea Impact Index (BSII), 
51
productive surface waters. In the Baltic Sea Impact Index (BSII), 
            
52
areas with high springtime phytoplankton production will be 
52
areas with high springtime phytoplankton production will be 
            
53
given\r\nhigher importance, as they are considered important areas for 
53
given\r\nhigher importance, as they are considered important areas for 
            
54
the Baltic Sea food web. In the current map, mean of springtime 
54
the Baltic Sea food web. In the current map, mean of springtime 
            
55
maximum weekly values (weeks 12-22, years 2003-2011)\r\nChl-a 
55
maximum weekly values (weeks 12-22, years 2003-2011)\r\nChl-a 
            
56
concentration of the surface waters has been used, derived from 
56
concentration of the surface waters has been used, derived from 
            
57
satellite data (MERIS). Years 2003-2011 have been used, as there is no 
57
satellite data (MERIS). Years 2003-2011 have been used, as there is no 
            
58
MERIS data available for years 2012-2016.\r\nThe data for eastern 
58
MERIS data available for years 2012-2016.\r\nThe data for eastern 
            
59
Baltic Sea is provided by the Finnish Environment Institute (~300m 
59
Baltic Sea is provided by the Finnish Environment Institute (~300m 
            
60
resolution). Outside this high resolution data, MERIS-data downloaded 
60
resolution). Outside this high resolution data, MERIS-data downloaded 
            
61
from JRC-database has been\r\nused (~4 km resolution, to calculate 
61
from JRC-database has been\r\nused (~4 km resolution, to calculate 
            
62
average of maximum monthly values for April or May for 2003-2011). 
62
average of maximum monthly values for April or May for 2003-2011). 
            
63
Both datasets were converted to 1 km x 1 km grid cells.",
63
Both datasets were converted to 1 km x 1 km grid cells.",
            
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  "num_resources": 4,
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  "num_resources": 5,
            
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  "num_tags": 4,
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  "num_tags": 4,
            
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  "oceanographic-variables": [
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  "oceanographic-variables": [
            
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    "biochemistry-chlorophyll-a"
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    "biochemistry-chlorophyll-a"
            
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  ],
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  ],
            
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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": "2024-07-18T07:58:37.958674",
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    "created": "2024-07-18T07:58:37.958674",
            
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    "description": "This organization collect datasets related to the 
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    "description": "This organization collect datasets related to the 
            
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ReMAP project, and specifically datasets that are used by the modules 
73
ReMAP project, and specifically datasets that are used by the modules 
            
74
developed by the projects itself and used in the three use cases: 
74
developed by the projects itself and used in the three use cases: 
            
75
Baltic Sea, Western Mediterranean, Galicia.\r\n\r\nReMAP (Reviewing 
75
Baltic Sea, Western Mediterranean, Galicia.\r\n\r\nReMAP (Reviewing 
            
76
and Evaluating the Monitoring and Assessment of Maritime Spatial 
76
and Evaluating the Monitoring and Assessment of Maritime Spatial 
            
77
Planning) is a project financed by the EU through the Grant Agreement 
77
Planning) is a project financed by the EU through the Grant Agreement 
            
78
n\u00ba 101081304 \u2014 ReMAP \u2014 EMFAF-2021-PIA-MSP.\r\n\r\nIt 
78
n\u00ba 101081304 \u2014 ReMAP \u2014 EMFAF-2021-PIA-MSP.\r\n\r\nIt 
            
79
targets to set up strategies and processes to monitor and assess 
79
targets to set up strategies and processes to monitor and assess 
            
80
Maritime Spatial Planning (MSP) plans.\r\nProject website: 
80
Maritime Spatial Planning (MSP) plans.\r\nProject website: 
            
81
http://www.geoportal.ulpgc.es/remap/",
81
http://www.geoportal.ulpgc.es/remap/",
            
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    "id": "cd9e980b-856d-4006-9493-2e6a450b2a63",
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    "id": "cd9e980b-856d-4006-9493-2e6a450b2a63",
            
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    "image_url": "2024-07-18-075954.019722LogoReMAP-4.png",
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "remap-project",
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    "name": "remap-project",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "ReMAP Project",
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    "title": "ReMAP Project",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "original-abstract": "",
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  "original-abstract": "",
            
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  "original-title": "Productive surface waters (Chl-a)",
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  "original-title": "Productive surface waters (Chl-a)",
            
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  "owner": "HELCOM",
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  "owner": "HELCOM",
            
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  "owner_org": "cd9e980b-856d-4006-9493-2e6a450b2a63",
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  "owner_org": "cd9e980b-856d-4006-9493-2e6a450b2a63",
            
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  "pdm_modules_relevance": [],
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  "pdm_modules_relevance": [],
            
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  "pdm_testing_relevance": [],
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  "pdm_testing_relevance": [],
            
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  "presentation_form": "map",
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  "presentation_form": "map",
            
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  "private": false,
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  "private": false,
            
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  "provider": "HELCOM",
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  "provider": "HELCOM",
            
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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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  "relevance-spatial-and-temporal": [],
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  "relevance-spatial-and-temporal": [],
            
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  "resources": [
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      "datastore_active": false,
            
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      "description": "Springtime Chl-a concentration is here used as a 
108
      "description": "Springtime Chl-a concentration is here used as a 
            
109
proxy for productive surface waters. In the Baltic Sea Impact Index 
109
proxy for productive surface waters. In the Baltic Sea Impact Index 
            
110
(BSII), areas with high springtime phytoplankton production will be 
110
(BSII), areas with high springtime phytoplankton production will be 
            
111
given\r\nhigher importance, as they are considered important areas for 
111
given\r\nhigher importance, as they are considered important areas for 
            
112
the Baltic Sea food web. In the current map, mean of springtime 
112
the Baltic Sea food web. In the current map, mean of springtime 
            
113
maximum weekly values (weeks 12-22, years 2003-2011)\r\nChl-a 
113
maximum weekly values (weeks 12-22, years 2003-2011)\r\nChl-a 
            
114
concentration of the surface waters has been used, derived from 
114
concentration of the surface waters has been used, derived from 
            
115
satellite data (MERIS). Years 2003-2011 have been used, as there is no 
115
satellite data (MERIS). Years 2003-2011 have been used, as there is no 
            
116
MERIS data available for years 2012-2016.\r\nThe data for eastern 
116
MERIS data available for years 2012-2016.\r\nThe data for eastern 
            
117
Baltic Sea is provided by the Finnish Environment Institute (~300m 
117
Baltic Sea is provided by the Finnish Environment Institute (~300m 
            
118
resolution). Outside this high resolution data, MERIS-data downloaded 
118
resolution). Outside this high resolution data, MERIS-data downloaded 
            
119
from JRC-database has been\r\nused (~4 km resolution, to calculate 
119
from JRC-database has been\r\nused (~4 km resolution, to calculate 
            
120
average of maximum monthly values for April or May for 2003-2011). 
120
average of maximum monthly values for April or May for 2003-2011). 
            
121
Both datasets were converted to 1 km x 1 km grid cells.",
121
Both datasets were converted to 1 km x 1 km grid cells.",
            
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      "mspkc_resource_type": "GeospatialDataset",
            
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      "name": "Productive surface water (Chl-a) - satellite based 
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      "name": "Productive surface water (Chl-a) - satellite based 
            
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HOLAS 2 (Baltic sea) ",
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HOLAS 2 (Baltic sea) ",
            
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      "state": "active",
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      "url": 
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      "url": 
            
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om.fi/website/MADS/download/?id=972c58e2-b197-4929-aa10-85e703510d64",
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      "description": "Metadata webpage for the datasets in the HELCOM 
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      "description": "Metadata webpage for the datasets in the HELCOM 
            
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Metadata catalogue",
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Metadata catalogue",
            
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      "format": "HTML",
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      "format": "HTML",
            
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      "hash": "",
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      "name": "Metadata webpage",
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      "name": "Metadata webpage",
            
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      "url": 
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      "url": 
            
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      "description": "The layer to be used for the \"Productive 
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      "description": "The layer to be used for the \"Productive 
            
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surface waters Chl-a satellite based data\" is 
172
surface waters Chl-a satellite based data\" is 
            
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Productive_surface_waters_Chl-a_HOLAS_327399",
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  "temporal_extent_end": "2025-10-31",
            
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  "title": "Productive surface waters (Chl-a) - satellite based 
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  "title": "Productive surface waters (Chl-a) - satellite based 
            
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(Baltic sea)",
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}
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}