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\"name\": \"Casanelles Abella\"}, {\"affiliation\": \"Institute of 
            
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Environmental Sciences and Geography, University of Potsdam, Potsdam, 
            
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Germany\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", 
            
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\"0000-0003-1924-9298\", \"name\": \"Casanelles Abella\"}, 

            
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{\"affiliation\": \"Institute of Environmental Sciences and Geography, 

            
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University of Potsdam, Potsdam, Germany\", \"affiliation_02\": \"\", 

            
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\"bertrand.fournier@uni-potsdam.de\", \"given_name\": \"Bertrand\", 
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\"bertrand.fournier@uni-potsdam.de\", \"given_name\": \"Bertrand\", 
            
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\"identifier\": \"\", \"name\": \"Fournier\"}, {\"affiliation\": 
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\"identifier\": \"\", \"name\": \"Fournier\"}, {\"affiliation\": 
            
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\"Nature Conservation and Landscape Ecology, University of Freiburg, 
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Freiburg, Germany\", \"affiliation_02\": \"\", \"affiliation_03\": 
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{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
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{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", 
            
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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
            
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\"publication\"], \"email\": \"marco.moretti@wsl.ch\", \"given_name\": 
            
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\"Marco\", \"identifier\": \"0000-0002-5845-3198\", \"name\": 
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\"Marco\", \"identifier\": \"0000-0002-5845-3198\", \"name\": 
            
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\"Moretti\"}]",
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  "date": "[{\"date\": \"2020-09-01\", \"date_type\": \"collected\", 
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\"institution\": \"Swiss Federal Office for the Environment (FOEN)\", 
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\"institution\": \"Swiss Federal Office for the Environment (FOEN)\", 
            
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\"institution\": \"Swiss National Science Foundation\", 
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\"institution\": \"Swiss National Science Foundation\", 
            
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\"institution\": \"G\u00f6hner Stiftung\", \"institution_url\": \"\"}, 
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\"institution\": \"G\u00f6hner Stiftung\", \"institution_url\": \"\"}, 
            
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{\"grant_number\": \"FO 1420/1-1\", \"institution\": \"German Federal 
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{\"grant_number\": \"FO 1420/1-1\", \"institution\": \"German Federal 
            
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Ministry of Education and Research\", \"institution_url\": \"\"}]",
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Ministry of Education and Research\", \"institution_url\": \"\"}]",
            
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
            
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\"marco.moretti@wsl.ch\", \"given_name\": \"Marco\", \"identifier\": 
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\"0000-0002-5845-3198\", \"name\": \"Moretti\"}",
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\"0000-0002-5845-3198\", \"name\": \"Moretti\"}",
            
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  "metadata_modified": "2022-12-09T10:43:49.703902",
            
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  "name": 
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  "name": 
            
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"data-on-wild-bee-taxonomic-and-functional-diversity-in-switzerland",
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"data-on-wild-bee-taxonomic-and-functional-diversity-in-switzerland",
            
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  "notes": "Raw data supporting the paper \"Countrywide wild bee 
53
  "notes": "Raw data supporting the paper \"Countrywide wild bee 
            
56
taxonomic and functional diversity reveal a spatial mismatch between 
54
taxonomic and functional diversity reveal a spatial mismatch between 
            
57
alpha and beta-diversity facets across multiple ecological 
55
alpha and beta-diversity facets across multiple ecological 
            
n
58
gradients\". It contains taxonomic and functional metrics in 4591 
n
56
gradients\". It contains taxonomic and functional metrics in 3343 
            
59
community-plots distributed across Switzerland. The calculated metrics 
57
community-plots distributed across Switzerland. The calculated metrics 
            
60
are:\r\n- Alpha taxonomic community metrics: species richness and 
58
are:\r\n- Alpha taxonomic community metrics: species richness and 
            
61
Shannon diversity\r\n- Alpha functional community metrics: Functional 
59
Shannon diversity\r\n- Alpha functional community metrics: Functional 
            
62
richness (using the Trait Onion Peeling index, TOP), functional 
60
richness (using the Trait Onion Peeling index, TOP), functional 
            
63
eveness (using the Trait Even Distribution index, TED) and the 
61
eveness (using the Trait Even Distribution index, TED) and the 
            
64
functional dispersion.\r\n- Community weighted means of 8 functional 
62
functional dispersion.\r\n- Community weighted means of 8 functional 
            
65
traits \r\n- The local community contributions on the functional and 
63
traits \r\n- The local community contributions on the functional and 
            
t
66
taxonomic beta diversity (LCBD).\r\n",
t
64
taxonomic beta diversity (LCBD).\r\n\r\nThe dataset also includes the 
            
65
following:\r\n- The used predictors to model the spatial distribution 
            
66
of the community metrics (climate PCA, vegetation PCA, land-use 
            
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metrics, beekeeping intensity).\r\n-The three types of protected 
            
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areas, defined according to the protective measures.\r\n- The model 
            
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evaluation, variable importance and partial dependece data.\r\n\r\n",
            
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  "num_resources": 4,
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  "num_resources": 4,
            
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  "num_tags": 14,
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  "num_tags": 14,
            
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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": "2018-05-18T09:12:30.577470",
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    "created": "2018-05-18T09:12:30.577470",
            
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    "description": "We study the relationship between threatened 
75
    "description": "We study the relationship between threatened 
            
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species and their habitat with the objective to develop evidence-based 
76
species and their habitat with the objective to develop evidence-based 
            
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instruments for conservation. The viability of populations of habitat 
77
instruments for conservation. The viability of populations of habitat 
            
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specialists is often limited due to restricted availability of 
78
specialists is often limited due to restricted availability of 
            
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suitable habitat or discontinuous distribution. We focus on selected 
79
suitable habitat or discontinuous distribution. We focus on selected 
            
77
animal species of conservation concern (forest birds, bats, forest 
80
animal species of conservation concern (forest birds, bats, forest 
            
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insects) and analyse species-habitat relationships at a scale ranging 
81
insects) and analyse species-habitat relationships at a scale ranging 
            
79
from single subpopulations to entire metapopulations. We strive 
82
from single subpopulations to entire metapopulations. We strive 
            
80
towards standardised recording of elusive species with novel 
83
towards standardised recording of elusive species with novel 
            
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techniques, assessing environmental variables and combining these 
84
techniques, assessing environmental variables and combining these 
            
82
field data with data from remote sensing. We determine limiting 
85
field data with data from remote sensing. We determine limiting 
            
83
factors (habitat, climate, resources) and predict species occurrence 
86
factors (habitat, climate, resources) and predict species occurrence 
            
84
and habitat suitability with modelling techniques.\r\n\r\nThese models 
87
and habitat suitability with modelling techniques.\r\n\r\nThese models 
            
85
allow to predict species occurrence patterns and to delineate 
88
allow to predict species occurrence patterns and to delineate 
            
86
evidence-based priority areas for conservation. Our long-term 
89
evidence-based priority areas for conservation. Our long-term 
            
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collaboration with federal and cantonal stakeholders of forest and 
90
collaboration with federal and cantonal stakeholders of forest and 
            
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nature conservation enables the combination of research results with 
91
nature conservation enables the combination of research results with 
            
89
conservation requirements (e.g. species action plans, forest 
92
conservation requirements (e.g. species action plans, forest 
            
90
biodiversity expert panel, scientific counsel for bat protection). 
93
biodiversity expert panel, scientific counsel for bat protection). 
            
91
While we investigate complete distribution ranges in bats, we focus on 
94
While we investigate complete distribution ranges in bats, we focus on 
            
92
forest habitats in birds and insects given the large extent and high 
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forest habitats in birds and insects given the large extent and high 
            
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importance of forests for biodiversity conservation in Switzerland.",
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importance of forests for biodiversity conservation in Switzerland.",
            
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    "name": "conservation-biology",
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    "name": "conservation-biology",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Conservation Biology",
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    "title": "Conservation Biology",
            
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    "type": "organization"
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    "type": "organization"
            
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  "private": false,
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  "publication": "{\"publication_year\": \"2022\", \"publisher\": 
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  "publication": "{\"publication_year\": \"2022\", \"publisher\": 
            
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\"EnviDat\"}",
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\"EnviDat\"}",
            
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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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  "related_publications": "",
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  "related_publications": "",
            
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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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  "resource_type": "dataset",
            
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  "resource_type_general": "dataset",
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  "resource_type_general": "dataset",
            
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  "resources": [
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      "created": "2022-07-25T09:03:38.650524",
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      "created": "2022-07-25T09:03:38.650524",
            
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      "description": "Response data used for the modeling.\r\nLat: 
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      "description": "Response data used for the modeling.\r\nLat: 
            
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latitude community plot\r\nLon: longitude community plot\r\nRichness: 
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latitude community plot\r\nLon: longitude community plot\r\nRichness: 
            
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species richness\t\r\nShannon: Shannon diversity index\t\r\nFDis: 
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species richness\t\r\nShannon: Shannon diversity index\t\r\nFDis: 
            
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functional dispersion\t\r\nTOP: Trait Onion Peeling (functional 
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functional dispersion\t\r\nTOP: Trait Onion Peeling (functional 
            
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richness)\r\nTED: Trait Even Distribution (functional 
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richness)\r\nTED: Trait Even Distribution (functional 
            
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evenness)\r\nLCBD_taxo: local community contributions to taxonomic 
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evenness)\r\nLCBD_taxo: local community contributions to taxonomic 
            
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beta diversity\t\r\nLCBD_fun: local community contributions to 
127
beta diversity\t\r\nLCBD_fun: local community contributions to 
            
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functional beta diversity\r\nITD: community weighted means 
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functional beta diversity\r\nITD: community weighted means 
            
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inter-tegula distance\r\nfeeding_specialization: community weighted 
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inter-tegula distance\r\nfeeding_specialization: community weighted 
            
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means feeding specialization\t\r\ntong_length: community weighted 
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means feeding specialization\t\r\ntong_length: community weighted 
            
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means tongue length\r\nphenostart: community weighted means start of 
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means tongue length\r\nphenostart: community weighted means start of 
            
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the phenology\r\nphenoduration:  community weighted means duration of 
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the phenology\r\nphenoduration:  community weighted means duration of 
            
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the phenoloy\r\ncleptoparasite: community weighted means 
133
the phenoloy\r\ncleptoparasite: community weighted means 
            
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cleptoparasites\r\nbelowgound:  community weighted means proportion 
134
cleptoparasites\r\nbelowgound:  community weighted means proportion 
            
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belowground\r\nsolitary: community weighted means proportion 
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belowground\r\nsolitary: community weighted means proportion 
            
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solitary",
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the predictors used in the analyses, including the climate, resource 
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the predictors used in the analyses, including the climate, resource 
            
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availability, land-use and beekeeping intensity metrics.\r\n\r\nThe 
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availability, land-use and beekeeping intensity metrics.\r\n\r\nThe 
            
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raster on the climate contains the PCA axes on the CHELSA 
            
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variables.\r\nThe raster on resource availability contains the PCA 
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axes on plant communities\r\nThe raster on land-use contains the 
170
axes on plant communities\r\nThe raster on land-use contains the 
            
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land-use composition at 2500 m.\r\nThe raster on beekeeping intensity 
171
land-use composition at 2500 m.\r\nThe raster on beekeeping intensity 
            
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with the variable importance, the model evaluation metrics and the 
231
with the variable importance, the model evaluation metrics and the 
            
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partial dependence plots of each of the responses used (alpha and beta 
232
partial dependence plots of each of the responses used (alpha and beta 
            
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taxonomic and functional diversity metrics; community weighted means 
233
taxonomic and functional diversity metrics; community weighted means 
            
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of 8 functional traits)",
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of 8 functional traits)",
            
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dependence plots",
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dependence plots",
            
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      "id": "10e8f4f5-57a9-4bdc-979d-2843508c4cca",
360
      "id": "10e8f4f5-57a9-4bdc-979d-2843508c4cca",
            
358
      "name": "WILD BEE",
361
      "name": "WILD BEE",
            
359
      "state": "active",
362
      "state": "active",
            
360
      "vocabulary_id": null
363
      "vocabulary_id": null
            
361
    }
364
    }
            
362
  ],
365
  ],
            
363
  "title": "Data on wild bee taxonomic and functional diversity in 
366
  "title": "Data on wild bee taxonomic and functional diversity in 
            
364
Switzerland",
367
Switzerland",
            
365
  "type": "dataset",
368
  "type": "dataset",
            
366
  "url": null,
369
  "url": null,
            
367
  "version": "1.0"
370
  "version": "1.0"
            
368
}
371
}