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  "author": "[{\"given_name\": \"Bronwyn\", \"name\": \"Price\", 
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  "author": "[{\"given_name\": \"Bronwyn\", \"name\": \"Price\", 
            
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\"email\": \"bronwyn.price@wsl.ch\", \"data_credit\": []}, 
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\"email\": \"bronwyn.price@wsl.ch\", \"data_credit\": []}, 
            
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{\"given_name\": \"Natalia\", \"name\": \"Kolecka\", \"email\": 
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{\"given_name\": \"Natalia\", \"name\": \"Kolecka\", \"email\": 
            
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\"natalia.kolecka@wsl.ch\", \"data_credit\": [], \"identifier\": \"\", 
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\"natalia.kolecka@wsl.ch\", \"data_credit\": [], \"identifier\": \"\", 
            
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\"affiliation\": \"wsl\"}, {\"given_name\": \"Nica\", \"name\": 
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\"affiliation\": \"wsl\"}, {\"given_name\": \"Nica\", \"name\": 
            
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\"Huber\", \"email\": \"nica.huber@wsl.ch\", \"data_credit\": [], 
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\"Huber\", \"email\": \"nica.huber@wsl.ch\", \"data_credit\": [], 
            
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\"identifier\": \"0000-0001-5427-6836\", \"affiliation\": \"WSL\"}, 
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\"identifier\": \"0000-0001-5427-6836\", \"affiliation\": \"WSL\"}, 
            
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{\"given_name\": \"Marius\", \"name\": \"R\\u00fcetschi\", \"email\": 
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{\"given_name\": \"Marius\", \"name\": \"R\\u00fcetschi\", \"email\": 
            
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\"marius.rueetschi@wsl.ch\", \"data_credit\": [], \"identifier\": 
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\"marius.rueetschi@wsl.ch\", \"data_credit\": [], \"identifier\": 
            
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\"\", \"affiliation\": \"WSL\"}, {\"given_name\": \"Anita\", \"name\": 
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\"\", \"affiliation\": \"WSL\"}, {\"given_name\": \"Anita\", \"name\": 
            
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\"Nussbaumer\", \"email\": \"anita.nussbaumer@wsl.ch\", 
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\"Nussbaumer\", \"email\": \"anita.nussbaumer@wsl.ch\", 
            
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\"data_credit\": [], \"identifier\": \"0000-0002-3430-7006 \", 
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\"data_credit\": [], \"identifier\": \"0000-0002-3430-7006 \", 
            
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\"affiliation\": \"WSL\"}, {\"given_name\": \"Christian\", \"name\": 
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\"affiliation\": \"WSL\"}, {\"given_name\": \"Christian\", \"name\": 
            
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\"Ginzler\", \"email\": \"christian.ginzler@wsl.ch\", \"data_credit\": 
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\"Ginzler\", \"email\": \"christian.ginzler@wsl.ch\", \"data_credit\": 
            
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[], \"identifier\": \"0000-0001-6365-2151\", \"affiliation\": \"Remote 
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[], \"identifier\": \"0000-0001-6365-2151\", \"affiliation\": \"Remote 
            
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Sensing, Landscape Change Science, Swiss Federal Institute for Forest, 
17
Sensing, Landscape Change Science, Swiss Federal Institute for Forest, 
            
18
Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland\"}]",
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Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland\"}]",
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "5d5fda87-d737-44dd-a887-09c4ba330cf9",
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  "creator_user_id": "5d5fda87-d737-44dd-a887-09c4ba330cf9",
            
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  "date": 
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  "date": 
            
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:\"collected\",\"date\":\"2017-01-01\",\"end_date\":\"2023-12-31\"}]",
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:\"collected\",\"date\":\"2017-01-01\",\"end_date\":\"2023-12-31\"}]",
            
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  "doi": "10.16904/envidat.515",
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  "doi": "10.16904/envidat.515",
            
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  "funding": 
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  "funding": 
            
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_number\":\"NA\",\"institution_url\":\"https://www.bafu.admin.ch\"}]",
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_number\":\"NA\",\"institution_url\":\"https://www.bafu.admin.ch\"}]",
            
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  "groups": [],
            
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  "id": "9b4526f9-ef08-4f11-860f-788287fceaec",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "wsl-data",
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  "license_id": "wsl-data",
            
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  "license_title": "WSL Data Policy",
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  "license_title": "WSL Data Policy",
            
31
  "license_url": 
31
  "license_url": 
            
32
ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html",
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ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html",
            
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  "maintainer": 
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  "maintainer": 
            
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ronwyn.price@wsl.ch\",\"given_name\":\"Bronwyn\",\"name\":\"Price\"}",
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ronwyn.price@wsl.ch\",\"given_name\":\"Bronwyn\",\"name\":\"Price\"}",
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2024-05-07T15:41:25.574285",
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  "metadata_created": "2024-05-07T15:41:25.574285",
            
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  "metadata_modified": "2024-11-07T10:10:04.939441",
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  "metadata_modified": "2024-11-07T11:26:05.041206",
            
38
  "name": "the-habitat-map-of-switzerland-v1-1",
38
  "name": "the-habitat-map-of-switzerland-v1-1",
            
39
  "notes": "Lebensraumkarte der Schweiz v1.1 2024/La carte des milieux 
39
  "notes": "Lebensraumkarte der Schweiz v1.1 2024/La carte des milieux 
            
40
naturels de Suisse v1.1 2024\nThe FOEN funded project \u2018The 
40
naturels de Suisse v1.1 2024\nThe FOEN funded project \u2018The 
            
41
Habitat Map of Switzerland:continual improvement\u2019 conducted at 
41
Habitat Map of Switzerland:continual improvement\u2019 conducted at 
            
42
the WSL, has improved on version 1.0 of a map of Swiss habitats 
42
the WSL, has improved on version 1.0 of a map of Swiss habitats 
            
43
according to the TypoCH classification (Delarze et al. 2015). \n\nThe 
43
according to the TypoCH classification (Delarze et al. 2015). \n\nThe 
            
44
Habitat Map of Switzerland maps the TypoCH habitat types wall-to-wall 
44
Habitat Map of Switzerland maps the TypoCH habitat types wall-to-wall 
            
45
across the whole of Switzerland, to at least the classification\u2019s 
45
across the whole of Switzerland, to at least the classification\u2019s 
            
46
2nd level of detail (where possible to the 3rd level of detail). 
46
2nd level of detail (where possible to the 3rd level of detail). 
            
47
\n\nHabitats are mapped through a variety of approaches that can be 
47
\n\nHabitats are mapped through a variety of approaches that can be 
            
48
grouped as either:\n1. Derived from the existing Swiss-wide datasets 
48
grouped as either:\n1. Derived from the existing Swiss-wide datasets 
            
49
a) the high quality landcover mapping from Swisstopo\u2019s 
49
a) the high quality landcover mapping from Swisstopo\u2019s 
            
50
Topographical Landscape Model (TLM), and b) the harmonized mapping of 
50
Topographical Landscape Model (TLM), and b) the harmonized mapping of 
            
51
agricultural fields area from the \u2018Landwirtschaftliche 
51
agricultural fields area from the \u2018Landwirtschaftliche 
            
52
Nutzfl\u00e4che\u2019 (LWN) mapping. \n2. Modelled within the project 
52
Nutzfl\u00e4che\u2019 (LWN) mapping. \n2. Modelled within the project 
            
53
using Random Forest or Ensemble Modelling techniques to model the 
53
using Random Forest or Ensemble Modelling techniques to model the 
            
54
spatial distribution of individual habitat types,\n3. Combining 
54
spatial distribution of individual habitat types,\n3. Combining 
            
55
existing species distribution models to determine habitat types, 
55
existing species distribution models to determine habitat types, 
            
56
or\n4. Classification with relatively simple rule-sets based on 
56
or\n4. Classification with relatively simple rule-sets based on 
            
57
auxiliary spatial datasets, i.e. vegetation height models (based on 
57
auxiliary spatial datasets, i.e. vegetation height models (based on 
            
58
digital aerial photogrammetry and/or SwissSurface3D aerial laser 
58
digital aerial photogrammetry and/or SwissSurface3D aerial laser 
            
59
scanning (ALS) data), the digital terrain model, the normalised 
59
scanning (ALS) data), the digital terrain model, the normalised 
            
60
difference vegetation index (NDVI) derived from aerial imagery and/or 
60
difference vegetation index (NDVI) derived from aerial imagery and/or 
            
61
time-series of growing season Sentinel-2 or Planet satellite 
61
time-series of growing season Sentinel-2 or Planet satellite 
            
62
imagery.\nFurther detail on the methodology can be found within the 
62
imagery.\nFurther detail on the methodology can be found within the 
            
63
README document.\n",
63
README document.\n",
            
n
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  "num_resources": 5,
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  "num_resources": 6,
            
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  "num_tags": 13,
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  "num_tags": 13,
            
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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": "2017-04-20T16:51:21.920128",
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    "created": "2017-04-20T16:51:21.920128",
            
69
    "description": "We develop and apply comprehensive and robust 
69
    "description": "We develop and apply comprehensive and robust 
            
70
methods to extract and classify natural objects from continuous and 
70
methods to extract and classify natural objects from continuous and 
            
71
discrete raster datasets. Relevant features are acquired to describe 
71
discrete raster datasets. Relevant features are acquired to describe 
            
72
changes in landscape and land resources at different levels using 
72
changes in landscape and land resources at different levels using 
            
73
image data. Mathematical-statistical methods are adopted for automatic 
73
image data. Mathematical-statistical methods are adopted for automatic 
            
74
detection and description of image objects. Thus we contribute 
74
detection and description of image objects. Thus we contribute 
            
75
concepts, methods and data to describe/detect area wide changes and 
75
concepts, methods and data to describe/detect area wide changes and 
            
76
processes in the resources of landscape.\r\n\r\n### Tasks and main 
76
processes in the resources of landscape.\r\n\r\n### Tasks and main 
            
77
research\r\n\r\n* Development and application of methods to extract 
77
research\r\n\r\n* Development and application of methods to extract 
            
78
natural objects from continuous data.\r\n* Development of methods for 
78
natural objects from continuous data.\r\n* Development of methods for 
            
79
a comprehensive description of natural and anthropogenetic boundaries 
79
a comprehensive description of natural and anthropogenetic boundaries 
            
80
in continuous pattern (e.g. map signatures, vegetation transition, 
80
in continuous pattern (e.g. map signatures, vegetation transition, 
            
81
forest borders).\r\n* Development and application of methods to 
81
forest borders).\r\n* Development and application of methods to 
            
82
extract 3D-information from remotely sensed data for description of 
82
extract 3D-information from remotely sensed data for description of 
            
83
natural structures and changes. The main focus lies on wood and its 
83
natural structures and changes. The main focus lies on wood and its 
            
84
embedding/interaction within/with the landscape.\r\n* Conception and 
84
embedding/interaction within/with the landscape.\r\n* Conception and 
            
85
development of data acquisition based on high resolution remote 
85
development of data acquisition based on high resolution remote 
            
86
sensing data.\r\n* Conception, development and maintenance of the 
86
sensing data.\r\n* Conception, development and maintenance of the 
            
87
software interface in area wide data acquisition using airborne remote 
87
software interface in area wide data acquisition using airborne remote 
            
88
sensing data.\r\n* Scientific expert advice and support in the fields 
88
sensing data.\r\n* Scientific expert advice and support in the fields 
            
89
of photogrammetry and survey at WSL. Maintenance, enhancements and 
89
of photogrammetry and survey at WSL. Maintenance, enhancements and 
            
90
future development in these specific fields.\r\n* Adequate 
90
future development in these specific fields.\r\n* Adequate 
            
91
presentation of scientific results on national level and in noted 
91
presentation of scientific results on national level and in noted 
            
92
international journals and at international 
92
international journals and at international 
            
93
congresses/workshops/symposia.\r\n\r\n__Further information__: 
93
congresses/workshops/symposia.\r\n\r\n__Further information__: 
            
94
l/organization/research-units/landscape-dynamics/remote-sensing.html",
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l/organization/research-units/landscape-dynamics/remote-sensing.html",
            
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    "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9",
            
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    "image_url": "",
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    "image_url": "",
            
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    "is_organization": true,
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    "is_organization": true,
            
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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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    "title": "Remote Sensing",
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    "title": "Remote Sensing",
            
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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": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9",
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  "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9",
            
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  "private": false,
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  "private": false,
            
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  "publication": 
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  "publication": 
            
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"{\"publisher\":\"EnviDat\",\"publication_year\":\"2024\"}",
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"{\"publisher\":\"EnviDat\",\"publication_year\":\"2024\"}",
            
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  "publication_state": "published",
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  "publication_state": "published",
            
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  "related_datasets": 
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  "related_datasets": 
            
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abitats-for-switzerland\nhttps://www.envidat.ch/#/metadata/mogli-sdm",
109
abitats-for-switzerland\nhttps://www.envidat.ch/#/metadata/mogli-sdm",
            
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  "related_publications": 
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  "related_publications": 
            
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"wsl:32816\nwsl:31627\nwsl:33077\nwsl:28923",
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"wsl:32816\nwsl:31627\nwsl:33077\nwsl:28923",
            
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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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  "resource_type": "dataset",
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  "resource_type": "dataset",
            
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  "resource_type_general": "dataset",
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  "resource_type_general": "dataset",
            
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      "name": "Data_Description_Lebensraumkarte_v1_1_March2024.pdf",
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      "url": 
            
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ec6fa12/download/data_description_lebensraumkarte_v1_1_march2024.pdf",
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ec6fa12/download/data_description_lebensraumkarte_v1_1_march2024.pdf",
            
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      "created": "2024-05-28T13:12:16.909484",
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      "created": "2024-05-28T13:12:16.909484",
            
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      "description": "raster format, 1m resolution, of the Habitat Map 
147
      "description": "raster format, 1m resolution, of the Habitat Map 
            
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version 1.1. Projection LV95. Pixel value is the numeric code for the 
148
version 1.1. Projection LV95. Pixel value is the numeric code for the 
            
149
habitat type according to TypoCH. with Symbology in lyrx file",
149
habitat type according to TypoCH. with Symbology in lyrx file",
            
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      "doi": "",
            
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      "last_modified": "2024-05-28T17:09:43.094000",
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      "metadata_modified": "2024-05-28T15:09:43.994043",
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      "name": "Lebensraumkarte_CH_V1_1 raster tif 2024",
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      "vocabulary_id": null
361
      "vocabulary_id": null
            
336
    },
362
    },
            
337
    {
363
    {
            
338
      "display_name": "SHRUB FOREST",
364
      "display_name": "SHRUB FOREST",
            
339
      "id": "e6465465-e4e1-4be8-9ea2-33ef7f93342c",
365
      "id": "e6465465-e4e1-4be8-9ea2-33ef7f93342c",
            
340
      "name": "SHRUB FOREST",
366
      "name": "SHRUB FOREST",
            
341
      "state": "active",
367
      "state": "active",
            
342
      "vocabulary_id": null
368
      "vocabulary_id": null
            
343
    },
369
    },
            
344
    {
370
    {
            
345
      "display_name": "TYPOCH",
371
      "display_name": "TYPOCH",
            
346
      "id": "e714bdbc-d23b-4f98-aa35-c48b16d2f11f",
372
      "id": "e714bdbc-d23b-4f98-aa35-c48b16d2f11f",
            
347
      "name": "TYPOCH",
373
      "name": "TYPOCH",
            
348
      "state": "active",
374
      "state": "active",
            
349
      "vocabulary_id": null
375
      "vocabulary_id": null
            
350
    }
376
    }
            
351
  ],
377
  ],
            
352
  "title": "The Habitat Map of Switzerland v1_1 2024",
378
  "title": "The Habitat Map of Switzerland v1_1 2024",
            
353
  "type": "dataset",
379
  "type": "dataset",
            
354
  "url": null
380
  "url": null
            
355
}
381
}