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\"validation\", \"software\", \"publication\", \"supervision\"], 
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\"validation\", \"software\", \"publication\", \"supervision\"], 
            
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\"email\": \"joan.casanelles@wsl.ch\", \"given_name\": \"Joan\", 
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\"email\": \"joan.casanelles@wsl.ch\", \"given_name\": \"Joan\", 
            
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\"identifier\": \"0000-0003-1924-9298\", \"name\": \"Casanelles 
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\"identifier\": \"0000-0003-1924-9298\", \"name\": \"Casanelles 
            
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Abella\"}, {\"affiliation\": \"University of Freiburg\", 
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Abella\"}, {\"affiliation\": \"University of Freiburg\", 
            
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\"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": 
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[\"software\", \"publication\"], \"email\": 
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[\"software\", \"publication\"], \"email\": 
            
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\"simone.fontana@mail.nature.uni-freiburg.de\", \"given_name\": 
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\"simone.fontana@mail.nature.uni-freiburg.de\", \"given_name\": 
            
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\"Simone\", \"identifier\": \"\", \"name\": \"Fontana\"}, 
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\"Simone\", \"identifier\": \"\", \"name\": \"Fontana\"}, 
            
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{\"affiliation\": \"University of Postdam\", \"affiliation_02\": 
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{\"affiliation\": \"University of Postdam\", \"affiliation_02\": 
            
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\"WSL\", \"affiliation_03\": \"\", \"email\": 
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\"WSL\", \"affiliation_03\": \"\", \"email\": 
            
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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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\"Biodiversity and Conservation Biology, Swiss Federal Research 
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\"Biodiversity and Conservation Biology, Swiss Federal Research 
            
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Institute WSL, Birmensdorf, Switzerland\", \"affiliation_02\": 
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Institute WSL, Birmensdorf, Switzerland\", \"affiliation_02\": 
            
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\"Spatial Evolutionary Ecology, Biodiversity and Conservation Biology, 
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\"Spatial Evolutionary Ecology, Biodiversity and Conservation Biology, 
            
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 
            
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8903 Birmensdorf, Switzerland\", \"affiliation_03\": \"\", 
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8903 Birmensdorf, Switzerland\", \"affiliation_03\": \"\", 
            
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\"email\": \"david.frey@wsl.ch\", \"given_name\": \"David Johannes\", 
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\"email\": \"david.frey@wsl.ch\", \"given_name\": \"David Johannes\", 
            
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\"identifier\": \"0000-0002-4603-0438\", \"name\": \"Frey\"}, 
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\"identifier\": \"0000-0002-4603-0438\", \"name\": \"Frey\"}, 
            
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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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\"affiliation_03\": \"\", \"data_credit\": [\"collection\", 
            
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\"curation\", \"publication\"], \"email\": \"marco.moretti@wsl.ch\", 
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\"curation\", \"publication\"], \"email\": \"marco.moretti@wsl.ch\", 
            
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\"given_name\": \"Marco\", \"identifier\": \"0000-0002-5845-3198\", 
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\"given_name\": \"Marco\", \"identifier\": \"0000-0002-5845-3198\", 
            
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\"name\": \"Moretti\"}]",
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\"name\": \"Moretti\"}]",
            
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  "date": "[{\"date\": \"2021-10-22\", \"date_type\": \"created\", 
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  "date": "[{\"date\": \"2021-10-22\", \"date_type\": \"created\", 
            
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\"end_date\": \"\"}]",
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\"end_date\": \"\"}]",
            
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  "doi": "10.16904/envidat.253",
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  "doi": "10.16904/envidat.253",
            
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  "funding": "[{\"grant_number\": \"154416\", \"institution\": \"SNCF 
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  "funding": "[{\"grant_number\": \"154416\", \"institution\": \"SNCF 
            
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Synergia\", \"institution_url\": \"\"}, {\"grant_number\": 
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Synergia\", \"institution_url\": \"\"}, {\"grant_number\": 
            
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\"31BD30_172467\", \"institution\": \"SNCF\", \"institution_url\": 
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\"31BD30_172467\", \"institution\": \"SNCF\", \"institution_url\": 
            
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\"\"}, {\"grant_number\": \"H2020 BiodivERsA32015104\", 
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\"\"}, {\"grant_number\": \"H2020 BiodivERsA32015104\", 
            
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\"institution\": \"ERA-Net BiodivERsA\", \"institution_url\": \"\"}]",
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\"institution\": \"ERA-Net BiodivERsA\", \"institution_url\": \"\"}]",
            
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  "language": "en",
            
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  "license_title": "Creative Commons Zero - No Rights Reserved (CC0 
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  "license_title": "Creative Commons Zero - No Rights Reserved (CC0 
            
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1.0)",
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1.0)",
            
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
            
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\"marco.moretti@wsl.ch\", \"given_name\": \"Marco\", \"identifier\": 
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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": "2021-10-28T08:38:00.295014",
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  "metadata_modified": "2023-02-10T10:58:36.244711",
            
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  "name": "niche-partitioning-between-wild-bees-and-honeybees",
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  "name": "niche-partitioning-between-wild-bees-and-honeybees",
            
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  "notes": "Cities are socio-ecological systems that filter and select 
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  "notes": "Cities are socio-ecological systems that filter and select 
            
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species, thus establishing unique species assemblages and biotic 
55
species, thus establishing unique species assemblages and biotic 
            
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interactions. Urban ecosystems can host richer wild bee communities 
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interactions. Urban ecosystems can host richer wild bee communities 
            
57
than highly intensified agricultural areas, specifically in 
57
than highly intensified agricultural areas, specifically in 
            
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resource-rich urban green spaces such as allotment and family gardens. 
58
resource-rich urban green spaces such as allotment and family gardens. 
            
59
At the same time, urban beekeeping has boomed in many European cities, 
59
At the same time, urban beekeeping has boomed in many European cities, 
            
60
raising concerns that the fast addition of a large number of managed 
60
raising concerns that the fast addition of a large number of managed 
            
61
bees could deplete the existing floral resources, triggering 
61
bees could deplete the existing floral resources, triggering 
            
62
competition between wild bees and honeybees. The data has been used to 
62
competition between wild bees and honeybees. The data has been used to 
            
63
investigated the interplay between resource availability and the 
63
investigated the interplay between resource availability and the 
            
64
number of honeybees at local and landscape scales and how this 
64
number of honeybees at local and landscape scales and how this 
            
65
relationship influences wild bee diversity.\r\n\r\nThis dataset 
65
relationship influences wild bee diversity.\r\n\r\nThis dataset 
            
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contains the raw and processed data supporting the findings from the 
66
contains the raw and processed data supporting the findings from the 
            
67
paper: \"Low resource availability drives feeding niche partitioning 
67
paper: \"Low resource availability drives feeding niche partitioning 
            
68
between wild bees and honeybees in a European city\". \r\n\r\nThe data 
68
between wild bees and honeybees in a European city\". \r\n\r\nThe data 
            
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contains:  \r\n1. Bee trait measurements at the species and 
69
contains:  \r\n1. Bee trait measurements at the species and 
            
70
individual-level  of five functional traits.  \r\n2. The values of the 
70
individual-level  of five functional traits.  \r\n2. The values of the 
            
71
feeding niche partitioning (functional dissimilarity to honeybees)   
71
feeding niche partitioning (functional dissimilarity to honeybees)   
            
72
\r\n3. The predictors of resource availability and beekeeping 
72
\r\n3. The predictors of resource availability and beekeeping 
            
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intensity at local and landscape scales used in the modelling of the 
73
intensity at local and landscape scales used in the modelling of the 
            
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paper for the 23 experimental sites.  ",
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paper for the 23 experimental sites.  ",
            
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  "num_resources": 5,
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  "num_resources": 5,
            
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  "num_tags": 12,
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  "num_tags": 12,
            
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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 
80
    "description": "We study the relationship between threatened 
            
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species and their habitat with the objective to develop evidence-based 
81
species and their habitat with the objective to develop evidence-based 
            
82
instruments for conservation. The viability of populations of habitat 
82
instruments for conservation. The viability of populations of habitat 
            
83
specialists is often limited due to restricted availability of 
83
specialists is often limited due to restricted availability of 
            
84
suitable habitat or discontinuous distribution. We focus on selected 
84
suitable habitat or discontinuous distribution. We focus on selected 
            
85
animal species of conservation concern (forest birds, bats, forest 
85
animal species of conservation concern (forest birds, bats, forest 
            
86
insects) and analyse species-habitat relationships at a scale ranging 
86
insects) and analyse species-habitat relationships at a scale ranging 
            
87
from single subpopulations to entire metapopulations. We strive 
87
from single subpopulations to entire metapopulations. We strive 
            
88
towards standardised recording of elusive species with novel 
88
towards standardised recording of elusive species with novel 
            
89
techniques, assessing environmental variables and combining these 
89
techniques, assessing environmental variables and combining these 
            
90
field data with data from remote sensing. We determine limiting 
90
field data with data from remote sensing. We determine limiting 
            
91
factors (habitat, climate, resources) and predict species occurrence 
91
factors (habitat, climate, resources) and predict species occurrence 
            
92
and habitat suitability with modelling techniques.\r\n\r\nThese models 
92
and habitat suitability with modelling techniques.\r\n\r\nThese models 
            
93
allow to predict species occurrence patterns and to delineate 
93
allow to predict species occurrence patterns and to delineate 
            
94
evidence-based priority areas for conservation. Our long-term 
94
evidence-based priority areas for conservation. Our long-term 
            
95
collaboration with federal and cantonal stakeholders of forest and 
95
collaboration with federal and cantonal stakeholders of forest and 
            
96
nature conservation enables the combination of research results with 
96
nature conservation enables the combination of research results with 
            
97
conservation requirements (e.g. species action plans, forest 
97
conservation requirements (e.g. species action plans, forest 
            
98
biodiversity expert panel, scientific counsel for bat protection). 
98
biodiversity expert panel, scientific counsel for bat protection). 
            
99
While we investigate complete distribution ranges in bats, we focus on 
99
While we investigate complete distribution ranges in bats, we focus on 
            
100
forest habitats in birds and insects given the large extent and high 
100
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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    "is_organization": true,
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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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  "publication": "{\"publication_year\": \"2021\", \"publisher\": 
            
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\"EnviDat\"}",
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\"EnviDat\"}",
            
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https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A31404",
            
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      "created": "2021-10-22T12:52:24.278682",
            
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      "description": "The data contains the following columns:\r\n\r\n    
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      "description": "The data contains the following columns:\r\n\r\n    
            
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SiteID: numeric, the identity of the garden where the bee was 
214
SiteID: numeric, the identity of the garden where the bee was 
            
214
sampled.\r\n    Taxonname: character, species name\r\n    Lecty: 
215
sampled.\r\n    Taxonname: character, species name\r\n    Lecty: 
            
215
numeric discreet, a mesure of specialisation degree. Levels: 1 = 
216
numeric discreet, a mesure of specialisation degree. Levels: 1 = 
            
216
monolectic; 2=oliolectic; 3=polilectic\r\n    Pheno.start= numeric 
217
monolectic; 2=oliolectic; 3=polilectic\r\n    Pheno.start= numeric 
            
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discreet, the starting week of the flying activity.\r\n    Pheno.end= 
218
discreet, the starting week of the flying activity.\r\n    Pheno.end= 
            
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numeric discreet, the ending week of the flying activity.\r\n    
219
numeric discreet, the ending week of the flying activity.\r\n    
            
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Pheno.duration=numeric discreet, Pheno.end - Pheno.start\r\n    
220
Pheno.duration=numeric discreet, Pheno.end - Pheno.start\r\n    
            
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Daytime.activity = numeric continuous, individual-level measure of the 
221
Daytime.activity = numeric continuous, individual-level measure of the 
            
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day hour when the bee was sampled\r\n    ITD = numeric continuous, 
222
day hour when the bee was sampled\r\n    ITD = numeric continuous, 
            
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individual-level measure of the InterTegular Distance, a metric of 
223
individual-level measure of the InterTegular Distance, a metric of 
            
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mobility in mm.\r\n    Rel.tongue.length =numeric continuous, 
224
mobility in mm.\r\n    Rel.tongue.length =numeric continuous, 
            
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individual-level measure of the relative tongue length (Tongue length 
225
individual-level measure of the relative tongue length (Tongue length 
            
225
/ ITD), a metric of specilaisation degree, in mm.\r\n\r\n",
226
/ ITD), a metric of specilaisation degree, in mm.\r\n\r\n",
            
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      "created": "2021-10-28T08:38:00.351973",
            
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      "description": "Mean, standard deviation , minimum  and maximum 
254
      "description": "Mean, standard deviation , minimum  and maximum 
            
254
values of six functional traits. The data has the following 
255
values of six functional traits. The data has the following 
            
255
structure:\r\n- Bee_species: bee scientific name\r\n- mean_trait: mean 
256
structure:\r\n- Bee_species: bee scientific name\r\n- mean_trait: mean 
            
256
value\r\n- sd_trait: standard deviation\r\n_min_trait: minimum 
257
value\r\n- sd_trait: standard deviation\r\n_min_trait: minimum 
            
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value\r\n- max_trait: maximum value\r\n- trait: the six traits used. 
258
value\r\n- max_trait: maximum value\r\n- trait: the six traits used. 
            
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ITD = Intertegular distance (mm); Pheno.duration = duration of the 
259
ITD = Intertegular distance (mm); Pheno.duration = duration of the 
            
259
phenology; Pheno.start = start of the phenology; Pheno.end = end of 
260
phenology; Pheno.start = start of the phenology; Pheno.end = end of 
            
260
the phenology; Rel.tongue.length= relative tongue length  (mm); 
261
the phenology; Rel.tongue.length= relative tongue length  (mm); 
            
261
Daytime.activity = daily activity (h)\r\nDistNichePart: functional 
262
Daytime.activity = daily activity (h)\r\nDistNichePart: functional 
            
262
dissimilarity in a multidimentional trait space defined by five traits 
263
dissimilarity in a multidimentional trait space defined by five traits 
            
263
between wild bee individuals of a wild bee species and the honeybee 
264
between wild bee individuals of a wild bee species and the honeybee 
            
264
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265
individuals. Values are at the species level.",
            
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  "subtitle": "",
            
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  "tags": [
            
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    {
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    {
            
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      "display_name": "BEEKEEPING",
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      "display_name": "BEEKEEPING",
            
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      "id": "31e8437e-4a12-4846-bab5-f071b9f5555f",
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      "id": "31e8437e-4a12-4846-bab5-f071b9f5555f",
            
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      "display_name": "BETTERGARDENS",
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      "display_name": "BETTERGARDENS",
            
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      "id": "d759e3fd-5514-4bba-a54d-00af4457e39f",
            
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      "name": "BETTERGARDENS",
            
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      "state": "active",
            
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    {
310
    {
            
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      "display_name": "CITY4BEES",
311
      "display_name": "CITY4BEES",
            
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      "id": "cecee4f0-e561-4bd7-977b-2f6dbd7f78fb",
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      "id": "cecee4f0-e561-4bd7-977b-2f6dbd7f78fb",
            
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      "name": "CITY4BEES",
313
      "name": "CITY4BEES",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
315
      "vocabulary_id": null
            
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    },
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    },
            
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    {
317
    {
            
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      "display_name": "GARDENS",
318
      "display_name": "GARDENS",
            
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      "id": "5d7c31ff-94d5-468a-98f3-fb344364ae04",
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      "id": "5d7c31ff-94d5-468a-98f3-fb344364ae04",
            
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      "name": "GARDENS",
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      "name": "GARDENS",
            
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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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    },
323
    },
            
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    {
324
    {
            
324
      "display_name": "HONEYBEES",
325
      "display_name": "HONEYBEES",
            
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      "id": "26748960-9449-4ad1-ad35-f2cbd882fb57",
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      "id": "26748960-9449-4ad1-ad35-f2cbd882fb57",
            
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      "name": "HONEYBEES",
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      "name": "HONEYBEES",
            
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      "state": "active",
            
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      "vocabulary_id": null
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    },
330
    },
            
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    {
331
    {
            
331
      "display_name": "POLLINATOR EXPERIMENT",
332
      "display_name": "POLLINATOR EXPERIMENT",
            
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      "id": "ba3ac125-4851-4840-996a-d08ffbbaf024",
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      "id": "ba3ac125-4851-4840-996a-d08ffbbaf024",
            
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
            
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      "display_name": "RESOURCE AVAILABILITY",
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      "display_name": "RESOURCE AVAILABILITY",
            
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      "display_name": "URBAN BIODIVERSITY",
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      "display_name": "URBAN BIODIVERSITY",
            
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      "display_name": "URBAN ECOSYSTEMS",
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      "display_name": "URBAN ECOSYSTEMS",
            
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      "id": "991ca594-fc4b-4063-9bba-108b916e56f8",
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      "id": "991ca594-fc4b-4063-9bba-108b916e56f8",
            
354
      "name": "URBAN ECOSYSTEMS",
355
      "name": "URBAN ECOSYSTEMS",
            
355
      "state": "active",
356
      "state": "active",
            
356
      "vocabulary_id": null
357
      "vocabulary_id": null
            
357
    },
358
    },
            
358
    {
359
    {
            
359
      "display_name": "URBANIZATION",
360
      "display_name": "URBANIZATION",
            
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      "id": "80141c83-e3e9-43b5-9c76-abad1e74852c",
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      "id": "80141c83-e3e9-43b5-9c76-abad1e74852c",
            
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      "name": "URBANIZATION",
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      "name": "URBANIZATION",
            
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      "state": "active",
363
      "state": "active",
            
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      "vocabulary_id": null
364
      "vocabulary_id": null
            
364
    },
365
    },
            
365
    {
366
    {
            
366
      "display_name": "WILD BEES",
367
      "display_name": "WILD BEES",
            
367
      "id": "37001016-5418-4a9a-94cd-235ae16aa2c5",
368
      "id": "37001016-5418-4a9a-94cd-235ae16aa2c5",
            
368
      "name": "WILD BEES",
369
      "name": "WILD BEES",
            
369
      "state": "active",
370
      "state": "active",
            
370
      "vocabulary_id": null
371
      "vocabulary_id": null
            
371
    },
372
    },
            
372
    {
373
    {
            
373
      "display_name": "ZURICH",
374
      "display_name": "ZURICH",
            
374
      "id": "6b70407d-a23b-4516-a5b1-61835fe6b7f1",
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      "id": "6b70407d-a23b-4516-a5b1-61835fe6b7f1",
            
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      "name": "ZURICH",
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      "name": "ZURICH",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
378
      "vocabulary_id": null
            
378
    }
379
    }
            
379
  ],
380
  ],
            
380
  "title": "Niche partitioning between wild bees and honeybees",
381
  "title": "Niche partitioning between wild bees and honeybees",
            
381
  "type": "dataset",
382
  "type": "dataset",
            
382
  "url": null,
383
  "url": null,
            
383
  "version": "1.0"
384
  "version": "1.0"
            
384
}
385
}