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  "author": "[{\"given_name\": \"Andrea\", \"name\": \"Zanetta\", 
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\"email\": \"andrea.zanetta@outlook.com\", \"data_credit\": 
            
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\"WSL\"}, {\"given_name\": \"Carlos\", \"name\": \"Mart\\u00ednez 
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\"WSL\"}, {\"given_name\": \"Carlos\", \"name\": \"Mart\\u00ednez 
            
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N\\u00fa\\u00f1ez\", \"email\": \"cmnunez@ujaen.es\", \"data_credit\": 
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N\\u00fa\\u00f1ez\", \"email\": \"cmnunez@ujaen.es\", \"data_credit\": 
            
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\"affiliation\": \"Estaci\\u00f3n Biol\\u00f3gica de Do\\u00f1ana EBD 
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\"affiliation\": \"Estaci\\u00f3n Biol\\u00f3gica de Do\\u00f1ana EBD 
            
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(CSIC)\"}, {\"given_name\": \"Joan\", \"name\": \"Casanelles\", 
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(CSIC)\"}, {\"given_name\": \"Joan\", \"name\": \"Casanelles\", 
            
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\"0000-0002-4603-0438\", \"affiliation\": \"WSL\"}, {\"given_name\": 
            
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\"Marco\", \"name\": \"Moretti\", \"email\": \"marco.moretti@wsl.ch\", 
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\"Marco\", \"name\": \"Moretti\", \"email\": \"marco.moretti@wsl.ch\", 
            
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\"0000-0002-5845-3198\", \"affiliation\": \"WSL\"}]",
            
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  "date": 
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  "date": 
            
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  "doi": "10.16904/envidat.453",
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  "doi": "10.16904/envidat.453",
            
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  "funding": "[{\"institution\":\"SNF 
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Sinergia\",\"grant_number\":\"CRSII1 
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Sinergia\",\"grant_number\":\"CRSII1 
            
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154416\",\"institution_url\":\"\"},{\"institution\":\"Juan de la 
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154416\",\"institution_url\":\"\"},{\"institution\":\"Juan de la 
            
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:\"FJC2021-046829-I\",\"institution_url\":\"\"},{\"institution\":\"SNF 
            
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Sinergia\",\"grant_number\":\"154416\",\"institution_url\":\"\"}]",
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  "license_title": "Creative Commons Attribution Share-Alike 
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  "license_title": "Creative Commons Attribution Share-Alike 
            
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(CC-BY-SA)",
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(CC-BY-SA)",
            
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  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
            
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arco.moretti@wsl.ch\",\"given_name\":\"Marco\",\"name\":\"Moretti\"}",
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arco.moretti@wsl.ch\",\"given_name\":\"Marco\",\"name\":\"Moretti\"}",
            
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  "metadata_created": "2023-10-23T11:41:28.662035",
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  "metadata_created": "2023-10-23T11:41:28.662035",
            
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  "metadata_modified": "2024-04-02T08:21:48.920724",
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  "metadata_modified": "2024-04-02T08:51:40.976524",
            
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  "name": 
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  "name": 
            
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ata-on-alpha-and-beta-trophic-interaction-diversity-in-urban-gardens",
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ata-on-alpha-and-beta-trophic-interaction-diversity-in-urban-gardens",
            
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  "notes": "The data supports the paper \"Local and landscape factors 
42
  "notes": "The data supports the paper \"Local and landscape factors 
            
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shape alpha and beta trophic interaction diversity in urban gardens\". 
43
shape alpha and beta trophic interaction diversity in urban gardens\". 
            
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It provides: \n(1) the host-natural enemy interaction networks and 
44
It provides: \n(1) the host-natural enemy interaction networks and 
            
45
network metrics between cavity-nesting bees and wasps and their 
45
network metrics between cavity-nesting bees and wasps and their 
            
46
natural enemies, \n (2) the explanatory variables reflecting urban 
46
natural enemies, \n (2) the explanatory variables reflecting urban 
            
47
intensity, temperature, habitat amount and management intensity. \n(3) 
47
intensity, temperature, habitat amount and management intensity. \n(3) 
            
48
the questionnaires for assessing management intensity.\n(4) a 
48
the questionnaires for assessing management intensity.\n(4) a 
            
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thesaurus for the variable names.\n(5) a readme file.\n(6) the R 
49
thesaurus for the variable names.\n(5) a readme file.\n(6) the R 
            
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script used for the analyses.\n\nThe data is part of the BetterGardens 
50
script used for the analyses.\n\nThe data is part of the BetterGardens 
            
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project. It was sampled in 85 allotment and home gardens in the ctiy 
51
project. It was sampled in 85 allotment and home gardens in the ctiy 
            
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of Zurich in 2015 using standardized trapnests. ",
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of Zurich in 2015 using standardized trapnests. ",
            
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  "num_resources": 10,
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  "num_resources": 10,
            
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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 
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    "description": "We study the relationship between threatened 
            
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species and their habitat with the objective to develop evidence-based 
59
species and their habitat with the objective to develop evidence-based 
            
60
instruments for conservation. The viability of populations of habitat 
60
instruments for conservation. The viability of populations of habitat 
            
61
specialists is often limited due to restricted availability of 
61
specialists is often limited due to restricted availability of 
            
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suitable habitat or discontinuous distribution. We focus on selected 
62
suitable habitat or discontinuous distribution. We focus on selected 
            
63
animal species of conservation concern (forest birds, bats, forest 
63
animal species of conservation concern (forest birds, bats, forest 
            
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insects) and analyse species-habitat relationships at a scale ranging 
64
insects) and analyse species-habitat relationships at a scale ranging 
            
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from single subpopulations to entire metapopulations. We strive 
65
from single subpopulations to entire metapopulations. We strive 
            
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towards standardised recording of elusive species with novel 
66
towards standardised recording of elusive species with novel 
            
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techniques, assessing environmental variables and combining these 
67
techniques, assessing environmental variables and combining these 
            
68
field data with data from remote sensing. We determine limiting 
68
field data with data from remote sensing. We determine limiting 
            
69
factors (habitat, climate, resources) and predict species occurrence 
69
factors (habitat, climate, resources) and predict species occurrence 
            
70
and habitat suitability with modelling techniques.\r\n\r\nThese models 
70
and habitat suitability with modelling techniques.\r\n\r\nThese models 
            
71
allow to predict species occurrence patterns and to delineate 
71
allow to predict species occurrence patterns and to delineate 
            
72
evidence-based priority areas for conservation. Our long-term 
72
evidence-based priority areas for conservation. Our long-term 
            
73
collaboration with federal and cantonal stakeholders of forest and 
73
collaboration with federal and cantonal stakeholders of forest and 
            
74
nature conservation enables the combination of research results with 
74
nature conservation enables the combination of research results with 
            
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conservation requirements (e.g. species action plans, forest 
75
conservation requirements (e.g. species action plans, forest 
            
76
biodiversity expert panel, scientific counsel for bat protection). 
76
biodiversity expert panel, scientific counsel for bat protection). 
            
77
While we investigate complete distribution ranges in bats, we focus on 
77
While we investigate complete distribution ranges in bats, we focus on 
            
78
forest habitats in birds and insects given the large extent and high 
78
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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    "id": "32672ec5-c180-471e-92f7-ef58e00eb1fb",
            
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    "is_organization": true,
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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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      "description": "Host-enemy interaction data, used to compute the 
            
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interaction diversity metrics",
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interaction diversity metrics",
            
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      "description": "The csv. file contains the response variable 
            
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317
\"interaction diversity\" (idiv), and the values of the predictors 
            
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used in the paper. The \"id\" column indicates the garden ID, each row 
318
used in the paper. The \"id\" column indicates the garden ID, each row 
            
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in the dataset correspond to a garden and each column to the response 
319
in the dataset correspond to a garden and each column to the response 
            
320
(idiv), an explanatory variable or a descriptor (name, Lat, Long). See 
320
(idiv), an explanatory variable or a descriptor (name, Lat, Long). See 
            
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