Changes
On October 22, 2021 at 1:55:50 PM UTC, Joan Casanelles:
-
Updated description of Niche partitioning between wild bees and honeybees from
This dataset contains the raw and processed data supporting the findings from the paper: "Low resource availability drives feeding niche partitioning between wild bees and honeybees in a European city". The data contains: 1. Bee trait measurements at the species and individual-level of five functional traits. 2. The values of the feeding niche partitioning (functional dissimilarity to honeybees) 3. The predictors of resource availability and beekeeping intensity at local and landscape scales used in the modelling of the paper for the 23 experimental sites.
toCities are socio-ecological systems that filter and select species, thus establishing unique species assemblages and biotic interactions. Urban ecosystems can host richer wild bee communities than highly intensified agricultural areas, specifically in resource-rich urban green spaces such as allotment and family gardens. At the same time, urban beekeeping has boomed in many European cities, raising concerns that the fast addition of a large number of managed bees could deplete the existing floral resources, triggering competition between wild bees and honeybees. The data has been used to investigated the interplay between resource availability and the number of honeybees at local and landscape scales and how this relationship influences wild bee diversity. This dataset contains the raw and processed data supporting the findings from the paper: "Low resource availability drives feeding niche partitioning between wild bees and honeybees in a European city". The data contains: 1. Bee trait measurements at the species and individual-level of five functional traits. 2. The values of the feeding niche partitioning (functional dissimilarity to honeybees) 3. The predictors of resource availability and beekeeping intensity at local and landscape scales used in the modelling of the paper for the 23 experimental sites.
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3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
4 | \"validation\", \"software\", \"publication\", \"supervision\"], | 4 | \"validation\", \"software\", \"publication\", \"supervision\"], | ||
5 | \"email\": \"joan.casanelles@wsl.ch\", \"given_name\": \"Joan\", | 5 | \"email\": \"joan.casanelles@wsl.ch\", \"given_name\": \"Joan\", | ||
6 | \"identifier\": \"0000-0003-1924-9298\", \"name\": \"Casanelles | 6 | \"identifier\": \"0000-0003-1924-9298\", \"name\": \"Casanelles | ||
7 | Abella\"}, {\"affiliation\": \"University of Freiburg\", | 7 | Abella\"}, {\"affiliation\": \"University of Freiburg\", | ||
8 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | 8 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | ||
9 | [\"software\", \"publication\"], \"email\": | 9 | [\"software\", \"publication\"], \"email\": | ||
10 | \"simone.fontana@mail.nature.uni-freiburg.de\", \"given_name\": | 10 | \"simone.fontana@mail.nature.uni-freiburg.de\", \"given_name\": | ||
11 | \"Simone\", \"identifier\": \"\", \"name\": \"Fontana\"}, | 11 | \"Simone\", \"identifier\": \"\", \"name\": \"Fontana\"}, | ||
12 | {\"affiliation\": \"University of Postdam\", \"affiliation_02\": | 12 | {\"affiliation\": \"University of Postdam\", \"affiliation_02\": | ||
13 | \"WSL\", \"affiliation_03\": \"\", \"email\": | 13 | \"WSL\", \"affiliation_03\": \"\", \"email\": | ||
14 | \"bertrand.fournier@uni-potsdam.de, \", \"given_name\": \"Bertrand\", | 14 | \"bertrand.fournier@uni-potsdam.de, \", \"given_name\": \"Bertrand\", | ||
15 | \"identifier\": \"\", \"name\": \"Fournier\"}, {\"affiliation\": | 15 | \"identifier\": \"\", \"name\": \"Fournier\"}, {\"affiliation\": | ||
16 | \"Biodiversity and Conservation Biology, Swiss Federal Research | 16 | \"Biodiversity and Conservation Biology, Swiss Federal Research | ||
17 | Institute WSL, Birmensdorf, Switzerland\", \"affiliation_02\": | 17 | Institute WSL, Birmensdorf, Switzerland\", \"affiliation_02\": | ||
18 | \"Spatial Evolutionary Ecology, Biodiversity and Conservation Biology, | 18 | \"Spatial Evolutionary Ecology, Biodiversity and Conservation Biology, | ||
19 | Swiss Federal Institute for Forest, Snow and Landscape Research WSL, | 19 | Swiss Federal Institute for Forest, Snow and Landscape Research WSL, | ||
20 | 8903 Birmensdorf, Switzerland\", \"affiliation_03\": \"\", | 20 | 8903 Birmensdorf, Switzerland\", \"affiliation_03\": \"\", | ||
21 | \"data_credit\": [\"collection\", \"curation\", \"publication\"], | 21 | \"data_credit\": [\"collection\", \"curation\", \"publication\"], | ||
22 | \"email\": \"david.frey@wsl.ch\", \"given_name\": \"David Johannes\", | 22 | \"email\": \"david.frey@wsl.ch\", \"given_name\": \"David Johannes\", | ||
23 | \"identifier\": \"0000-0002-4603-0438\", \"name\": \"Frey\"}, | 23 | \"identifier\": \"0000-0002-4603-0438\", \"name\": \"Frey\"}, | ||
24 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 24 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
25 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 25 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
26 | \"curation\", \"publication\"], \"email\": \"marco.moretti@wsl.ch\", | 26 | \"curation\", \"publication\"], \"email\": \"marco.moretti@wsl.ch\", | ||
27 | \"given_name\": \"Marco\", \"identifier\": \"0000-0002-5845-3198\", | 27 | \"given_name\": \"Marco\", \"identifier\": \"0000-0002-5845-3198\", | ||
28 | \"name\": \"Moretti\"}]", | 28 | \"name\": \"Moretti\"}]", | ||
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31 | "date": "[{\"date\": \"2021-10-22\", \"date_type\": \"created\", | 31 | "date": "[{\"date\": \"2021-10-22\", \"date_type\": \"created\", | ||
32 | \"end_date\": \"\"}]", | 32 | \"end_date\": \"\"}]", | ||
33 | "doi": "10.16904/envidat.253", | 33 | "doi": "10.16904/envidat.253", | ||
34 | "funding": "[{\"grant_number\": \"154416\", \"institution\": \"SNCF | 34 | "funding": "[{\"grant_number\": \"154416\", \"institution\": \"SNCF | ||
35 | Synergia\", \"institution_url\": \"\"}, {\"grant_number\": | 35 | Synergia\", \"institution_url\": \"\"}, {\"grant_number\": | ||
36 | \"31BD30_172467\", \"institution\": \"SNCF\", \"institution_url\": | 36 | \"31BD30_172467\", \"institution\": \"SNCF\", \"institution_url\": | ||
37 | \"\"}, {\"grant_number\": \"H2020 BiodivERsA32015104\", | 37 | \"\"}, {\"grant_number\": \"H2020 BiodivERsA32015104\", | ||
38 | \"institution\": \"ERA-Net BiodivERsA\", \"institution_url\": \"\"}]", | 38 | \"institution\": \"ERA-Net BiodivERsA\", \"institution_url\": \"\"}]", | ||
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42 | "language": "en", | 42 | "language": "en", | ||
43 | "license_id": "wsl-data", | 43 | "license_id": "wsl-data", | ||
44 | "license_title": "WSL Data Policy", | 44 | "license_title": "WSL Data Policy", | ||
45 | "license_url": | 45 | "license_url": | ||
46 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | 46 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | ||
47 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 47 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
48 | \"marco.moretti@wsl.ch\", \"given_name\": \"Marco\", \"identifier\": | 48 | \"marco.moretti@wsl.ch\", \"given_name\": \"Marco\", \"identifier\": | ||
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51 | "metadata_created": "2021-10-22T12:47:05.208588", | 51 | "metadata_created": "2021-10-22T12:47:05.208588", | ||
n | 52 | "metadata_modified": "2021-10-22T13:42:56.321006", | n | 52 | "metadata_modified": "2021-10-22T13:55:50.004335", |
53 | "name": "niche-partitioning-between-wild-bees-and-honeybees", | 53 | "name": "niche-partitioning-between-wild-bees-and-honeybees", | ||
t | 54 | "notes": "This dataset contains the raw and processed data | t | 54 | "notes": "Cities are socio-ecological systems that filter and select |
55 | supporting the findings from the paper: \"Low resource availability | 55 | species, thus establishing unique species assemblages and biotic | ||
56 | drives feeding niche partitioning between wild bees and honeybees in a | 56 | interactions. Urban ecosystems can host richer wild bee communities | ||
57 | European city\". \r\n\r\nThe data contains: \r\n1. Bee trait | 57 | than highly intensified agricultural areas, specifically in | ||
58 | measurements at the species and individual-level of five functional | 58 | resource-rich urban green spaces such as allotment and family gardens. | ||
59 | traits. \r\n2. The values of the feeding niche partitioning | 59 | At the same time, urban beekeeping has boomed in many European cities, | ||
60 | (functional dissimilarity to honeybees) \r\n3. The predictors of | 60 | raising concerns that the fast addition of a large number of managed | ||
61 | resource availability and beekeeping intensity at local and landscape | 61 | bees could deplete the existing floral resources, triggering | ||
62 | scales used in the modelling of the paper for the 23 experimental | 62 | competition between wild bees and honeybees. The data has been used to | ||
63 | sites. ", | 63 | investigated the interplay between resource availability and the | ||
64 | number of honeybees at local and landscape scales and how this | ||||
65 | relationship influences wild bee diversity.\r\n\r\nThis dataset | ||||
66 | contains the raw and processed data supporting the findings from the | ||||
67 | paper: \"Low resource availability drives feeding niche partitioning | ||||
68 | between wild bees and honeybees in a European city\". \r\n\r\nThe data | ||||
69 | contains: \r\n1. Bee trait measurements at the species and | ||||
70 | individual-level of five functional traits. \r\n2. The values of the | ||||
71 | feeding niche partitioning (functional dissimilarity to honeybees) | ||||
72 | \r\n3. The predictors of resource availability and beekeeping | ||||
73 | intensity at local and landscape scales used in the modelling of the | ||||
74 | paper for the 23 experimental sites. ", | ||||
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65 | "num_tags": 12, | 76 | "num_tags": 12, | ||
66 | "organization": { | 77 | "organization": { | ||
67 | "approval_status": "approved", | 78 | "approval_status": "approved", | ||
68 | "created": "2018-05-18T09:12:30.577470", | 79 | "created": "2018-05-18T09:12:30.577470", | ||
69 | "description": "We study the relationship between threatened | 80 | "description": "We study the relationship between threatened | ||
70 | species and their habitat with the objective to develop evidence-based | 81 | species and their habitat with the objective to develop evidence-based | ||
71 | instruments for conservation. The viability of populations of habitat | 82 | instruments for conservation. The viability of populations of habitat | ||
72 | specialists is often limited due to restricted availability of | 83 | specialists is often limited due to restricted availability of | ||
73 | suitable habitat or discontinuous distribution. We focus on selected | 84 | suitable habitat or discontinuous distribution. We focus on selected | ||
74 | animal species of conservation concern (forest birds, bats, forest | 85 | animal species of conservation concern (forest birds, bats, forest | ||
75 | insects) and analyse species-habitat relationships at a scale ranging | 86 | insects) and analyse species-habitat relationships at a scale ranging | ||
76 | from single subpopulations to entire metapopulations. We strive | 87 | from single subpopulations to entire metapopulations. We strive | ||
77 | towards standardised recording of elusive species with novel | 88 | towards standardised recording of elusive species with novel | ||
78 | techniques, assessing environmental variables and combining these | 89 | techniques, assessing environmental variables and combining these | ||
79 | field data with data from remote sensing. We determine limiting | 90 | field data with data from remote sensing. We determine limiting | ||
80 | factors (habitat, climate, resources) and predict species occurrence | 91 | factors (habitat, climate, resources) and predict species occurrence | ||
81 | and habitat suitability with modelling techniques.\r\n\r\nThese models | 92 | and habitat suitability with modelling techniques.\r\n\r\nThese models | ||
82 | allow to predict species occurrence patterns and to delineate | 93 | allow to predict species occurrence patterns and to delineate | ||
83 | evidence-based priority areas for conservation. Our long-term | 94 | evidence-based priority areas for conservation. Our long-term | ||
84 | collaboration with federal and cantonal stakeholders of forest and | 95 | collaboration with federal and cantonal stakeholders of forest and | ||
85 | nature conservation enables the combination of research results with | 96 | nature conservation enables the combination of research results with | ||
86 | conservation requirements (e.g. species action plans, forest | 97 | conservation requirements (e.g. species action plans, forest | ||
87 | biodiversity expert panel, scientific counsel for bat protection). | 98 | biodiversity expert panel, scientific counsel for bat protection). | ||
88 | While we investigate complete distribution ranges in bats, we focus on | 99 | While we investigate complete distribution ranges in bats, we focus on | ||
89 | 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 | ||
90 | importance of forests for biodiversity conservation in Switzerland.", | 101 | importance of forests for biodiversity conservation in Switzerland.", | ||
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93 | "is_organization": true, | 104 | "is_organization": true, | ||
94 | "name": "conservation-biology", | 105 | "name": "conservation-biology", | ||
95 | "state": "active", | 106 | "state": "active", | ||
96 | "title": "Conservation Biology", | 107 | "title": "Conservation Biology", | ||
97 | "type": "organization" | 108 | "type": "organization" | ||
98 | }, | 109 | }, | ||
99 | "owner_org": "32672ec5-c180-471e-92f7-ef58e00eb1fb", | 110 | "owner_org": "32672ec5-c180-471e-92f7-ef58e00eb1fb", | ||
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101 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 112 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
102 | \"EnviDat\"}", | 113 | \"EnviDat\"}", | ||
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227 | "created": "2021-10-22T12:52:24.278682", | 238 | "created": "2021-10-22T12:52:24.278682", | ||
228 | "description": "The data contains the following columns:\r\n\r\n | 239 | "description": "The data contains the following columns:\r\n\r\n | ||
229 | SiteID: numeric, the identity of the garden where the bee was | 240 | SiteID: numeric, the identity of the garden where the bee was | ||
230 | sampled.\r\n Taxonname: character, species name\r\n Lecty: | 241 | sampled.\r\n Taxonname: character, species name\r\n Lecty: | ||
231 | numeric discreet, a mesure of specialisation degree. Levels: 1 = | 242 | numeric discreet, a mesure of specialisation degree. Levels: 1 = | ||
232 | monolectic; 2=oliolectic; 3=polilectic\r\n Pheno.start= numeric | 243 | monolectic; 2=oliolectic; 3=polilectic\r\n Pheno.start= numeric | ||
233 | discreet, the starting week of the flying activity.\r\n Pheno.end= | 244 | discreet, the starting week of the flying activity.\r\n Pheno.end= | ||
234 | numeric discreet, the ending week of the flying activity.\r\n | 245 | numeric discreet, the ending week of the flying activity.\r\n | ||
235 | Pheno.duration=numeric discreet, Pheno.end - Pheno.start\r\n | 246 | Pheno.duration=numeric discreet, Pheno.end - Pheno.start\r\n | ||
236 | Daytime.activity = numeric continuous, individual-level measure of the | 247 | Daytime.activity = numeric continuous, individual-level measure of the | ||
237 | day hour when the bee was sampled\r\n ITD = numeric continuous, | 248 | day hour when the bee was sampled\r\n ITD = numeric continuous, | ||
238 | individual-level measure of the InterTegular Distance, a metric of | 249 | individual-level measure of the InterTegular Distance, a metric of | ||
239 | mobility in mm.\r\n Rel.tongue.length =numeric continuous, | 250 | mobility in mm.\r\n Rel.tongue.length =numeric continuous, | ||
240 | individual-level measure of the relative tongue length (Tongue length | 251 | individual-level measure of the relative tongue length (Tongue length | ||
241 | / ITD), a metric of specilaisation degree, in mm.\r\n\r\n", | 252 | / ITD), a metric of specilaisation degree, in mm.\r\n\r\n", | ||
242 | "doi": "", | 253 | "doi": "", | ||
243 | "format": ".csv", | 254 | "format": ".csv", | ||
244 | "hash": "", | 255 | "hash": "", | ||
245 | "id": "43152ded-fa38-4a75-938c-bf63d7018ad1", | 256 | "id": "43152ded-fa38-4a75-938c-bf63d7018ad1", | ||
246 | "last_modified": null, | 257 | "last_modified": null, | ||
247 | "metadata_modified": "2021-10-22T12:52:24.242208", | 258 | "metadata_modified": "2021-10-22T12:52:24.242208", | ||
248 | "mimetype": null, | 259 | "mimetype": null, | ||
249 | "mimetype_inner": null, | 260 | "mimetype_inner": null, | ||
250 | "name": "", | 261 | "name": "", | ||
251 | "package_id": "4e058b7f-925c-4187-8d58-28fba31ed64d", | 262 | "package_id": "4e058b7f-925c-4187-8d58-28fba31ed64d", | ||
252 | "position": 4, | 263 | "position": 4, | ||
253 | "publication_state": "", | 264 | "publication_state": "", | ||
254 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 265 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
255 | \"kb\"}", | 266 | \"kb\"}", | ||
256 | "resource_type": null, | 267 | "resource_type": null, | ||
257 | "restricted": "{\"level\": \"same_organization\", | 268 | "restricted": "{\"level\": \"same_organization\", | ||
258 | \"allowed_users\": \"\", \"shared_secret\": \"\"}", | 269 | \"allowed_users\": \"\", \"shared_secret\": \"\"}", | ||
259 | "size": 200011, | 270 | "size": 200011, | ||
260 | "state": "active", | 271 | "state": "active", | ||
261 | "url": | 272 | "url": | ||
262 | 152ded-fa38-4a75-938c-bf63d7018ad1/download/city4bees_traits.exp.csv", | 273 | 152ded-fa38-4a75-938c-bf63d7018ad1/download/city4bees_traits.exp.csv", | ||
263 | "url_type": "upload" | 274 | "url_type": "upload" | ||
264 | } | 275 | } | ||
265 | ], | 276 | ], | ||
266 | "spatial": | 277 | "spatial": | ||
267 | 65429688,47.31722773382942],[8.429946899414062,47.31722773382942]]]}", | 278 | 65429688,47.31722773382942],[8.429946899414062,47.31722773382942]]]}", | ||
268 | "spatial_info": "Switzerland", | 279 | "spatial_info": "Switzerland", | ||
269 | "state": "active", | 280 | "state": "active", | ||
270 | "subtitle": "", | 281 | "subtitle": "", | ||
271 | "tags": [ | 282 | "tags": [ | ||
272 | { | 283 | { | ||
273 | "display_name": "BEEKEEPING", | 284 | "display_name": "BEEKEEPING", | ||
274 | "id": "31e8437e-4a12-4846-bab5-f071b9f5555f", | 285 | "id": "31e8437e-4a12-4846-bab5-f071b9f5555f", | ||
275 | "name": "BEEKEEPING", | 286 | "name": "BEEKEEPING", | ||
276 | "state": "active", | 287 | "state": "active", | ||
277 | "vocabulary_id": null | 288 | "vocabulary_id": null | ||
278 | }, | 289 | }, | ||
279 | { | 290 | { | ||
280 | "display_name": "BETTERGARDENS", | 291 | "display_name": "BETTERGARDENS", | ||
281 | "id": "d759e3fd-5514-4bba-a54d-00af4457e39f", | 292 | "id": "d759e3fd-5514-4bba-a54d-00af4457e39f", | ||
282 | "name": "BETTERGARDENS", | 293 | "name": "BETTERGARDENS", | ||
283 | "state": "active", | 294 | "state": "active", | ||
284 | "vocabulary_id": null | 295 | "vocabulary_id": null | ||
285 | }, | 296 | }, | ||
286 | { | 297 | { | ||
287 | "display_name": "CITY4BEES", | 298 | "display_name": "CITY4BEES", | ||
288 | "id": "cecee4f0-e561-4bd7-977b-2f6dbd7f78fb", | 299 | "id": "cecee4f0-e561-4bd7-977b-2f6dbd7f78fb", | ||
289 | "name": "CITY4BEES", | 300 | "name": "CITY4BEES", | ||
290 | "state": "active", | 301 | "state": "active", | ||
291 | "vocabulary_id": null | 302 | "vocabulary_id": null | ||
292 | }, | 303 | }, | ||
293 | { | 304 | { | ||
294 | "display_name": "GARDENS", | 305 | "display_name": "GARDENS", | ||
295 | "id": "5d7c31ff-94d5-468a-98f3-fb344364ae04", | 306 | "id": "5d7c31ff-94d5-468a-98f3-fb344364ae04", | ||
296 | "name": "GARDENS", | 307 | "name": "GARDENS", | ||
297 | "state": "active", | 308 | "state": "active", | ||
298 | "vocabulary_id": null | 309 | "vocabulary_id": null | ||
299 | }, | 310 | }, | ||
300 | { | 311 | { | ||
301 | "display_name": "HONEYBEES", | 312 | "display_name": "HONEYBEES", | ||
302 | "id": "26748960-9449-4ad1-ad35-f2cbd882fb57", | 313 | "id": "26748960-9449-4ad1-ad35-f2cbd882fb57", | ||
303 | "name": "HONEYBEES", | 314 | "name": "HONEYBEES", | ||
304 | "state": "active", | 315 | "state": "active", | ||
305 | "vocabulary_id": null | 316 | "vocabulary_id": null | ||
306 | }, | 317 | }, | ||
307 | { | 318 | { | ||
308 | "display_name": "POLLINATOR EXPERIMENT", | 319 | "display_name": "POLLINATOR EXPERIMENT", | ||
309 | "id": "ba3ac125-4851-4840-996a-d08ffbbaf024", | 320 | "id": "ba3ac125-4851-4840-996a-d08ffbbaf024", | ||
310 | "name": "POLLINATOR EXPERIMENT", | 321 | "name": "POLLINATOR EXPERIMENT", | ||
311 | "state": "active", | 322 | "state": "active", | ||
312 | "vocabulary_id": null | 323 | "vocabulary_id": null | ||
313 | }, | 324 | }, | ||
314 | { | 325 | { | ||
315 | "display_name": "RESOURCE AVAILABILITY", | 326 | "display_name": "RESOURCE AVAILABILITY", | ||
316 | "id": "e4d5854e-08f7-495b-aed0-452899ea7198", | 327 | "id": "e4d5854e-08f7-495b-aed0-452899ea7198", | ||
317 | "name": "RESOURCE AVAILABILITY", | 328 | "name": "RESOURCE AVAILABILITY", | ||
318 | "state": "active", | 329 | "state": "active", | ||
319 | "vocabulary_id": null | 330 | "vocabulary_id": null | ||
320 | }, | 331 | }, | ||
321 | { | 332 | { | ||
322 | "display_name": "URBAN BIODIVERSITY", | 333 | "display_name": "URBAN BIODIVERSITY", | ||
323 | "id": "bfeca73e-3520-4d67-9e20-37e679f1d203", | 334 | "id": "bfeca73e-3520-4d67-9e20-37e679f1d203", | ||
324 | "name": "URBAN BIODIVERSITY", | 335 | "name": "URBAN BIODIVERSITY", | ||
325 | "state": "active", | 336 | "state": "active", | ||
326 | "vocabulary_id": null | 337 | "vocabulary_id": null | ||
327 | }, | 338 | }, | ||
328 | { | 339 | { | ||
329 | "display_name": "URBAN ECOSYSTEMS", | 340 | "display_name": "URBAN ECOSYSTEMS", | ||
330 | "id": "991ca594-fc4b-4063-9bba-108b916e56f8", | 341 | "id": "991ca594-fc4b-4063-9bba-108b916e56f8", | ||
331 | "name": "URBAN ECOSYSTEMS", | 342 | "name": "URBAN ECOSYSTEMS", | ||
332 | "state": "active", | 343 | "state": "active", | ||
333 | "vocabulary_id": null | 344 | "vocabulary_id": null | ||
334 | }, | 345 | }, | ||
335 | { | 346 | { | ||
336 | "display_name": "URBANIZATION", | 347 | "display_name": "URBANIZATION", | ||
337 | "id": "80141c83-e3e9-43b5-9c76-abad1e74852c", | 348 | "id": "80141c83-e3e9-43b5-9c76-abad1e74852c", | ||
338 | "name": "URBANIZATION", | 349 | "name": "URBANIZATION", | ||
339 | "state": "active", | 350 | "state": "active", | ||
340 | "vocabulary_id": null | 351 | "vocabulary_id": null | ||
341 | }, | 352 | }, | ||
342 | { | 353 | { | ||
343 | "display_name": "WILD BEES", | 354 | "display_name": "WILD BEES", | ||
344 | "id": "37001016-5418-4a9a-94cd-235ae16aa2c5", | 355 | "id": "37001016-5418-4a9a-94cd-235ae16aa2c5", | ||
345 | "name": "WILD BEES", | 356 | "name": "WILD BEES", | ||
346 | "state": "active", | 357 | "state": "active", | ||
347 | "vocabulary_id": null | 358 | "vocabulary_id": null | ||
348 | }, | 359 | }, | ||
349 | { | 360 | { | ||
350 | "display_name": "ZURICH", | 361 | "display_name": "ZURICH", | ||
351 | "id": "6b70407d-a23b-4516-a5b1-61835fe6b7f1", | 362 | "id": "6b70407d-a23b-4516-a5b1-61835fe6b7f1", | ||
352 | "name": "ZURICH", | 363 | "name": "ZURICH", | ||
353 | "state": "active", | 364 | "state": "active", | ||
354 | "vocabulary_id": null | 365 | "vocabulary_id": null | ||
355 | } | 366 | } | ||
356 | ], | 367 | ], | ||
357 | "title": "Niche partitioning between wild bees and honeybees", | 368 | "title": "Niche partitioning between wild bees and honeybees", | ||
358 | "type": "dataset", | 369 | "type": "dataset", | ||
359 | "url": null, | 370 | "url": null, | ||
360 | "version": "1.0" | 371 | "version": "1.0" | ||
361 | } | 372 | } |