Occurrence Download ...

A dataset containing 153 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is Human Observation", "Continent is Asia", "Country is India", "Geometry POLYGON((73.25413 12.73353,77.75008 12.551,84.6198 16.51135,89.94734 22...

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Bibliographic Details
Main Author: GBIF.Org User
Format: Dataset
Language:unknown
Published: The Global Biodiversity Information Facility 2023
Subjects:
Online Access:https://dx.doi.org/10.15468/dl.zh7p3t
https://www.gbif.org/occurrence/download/0061796-230224095556074
id ftdatacite:10.15468/dl.zh7p3t
record_format openpolar
spelling ftdatacite:10.15468/dl.zh7p3t 2023-05-15T15:49:47+02:00 Occurrence Download ... GBIF.Org User 2023 Darwin Core Archive https://dx.doi.org/10.15468/dl.zh7p3t https://www.gbif.org/occurrence/download/0061796-230224095556074 unknown The Global Biodiversity Information Facility https://dx.doi.org/10.15468/rs5upd https://dx.doi.org/10.15468/ab3s5x Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 GBIF biodiversity species occurrences dataset Dataset 2023 ftdatacite https://doi.org/10.15468/dl.zh7p3t10.15468/rs5upd10.15468/ab3s5x 2023-04-03T13:06:53Z A dataset containing 153 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is Human Observation", "Continent is Asia", "Country is India", "Geometry POLYGON((73.25413 12.73353,77.75008 12.551,84.6198 16.51135,89.94734 22.39088,87.35367 28.34105,76.90889 31.54835,66.9548 29.64058,73.25413 12.73353))", "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "TaxonKey is Canis lupus Linnaeus, 1758", "Year 2020-2023" ] } The dataset includes 153 records from 2 constituent datasets: 2 records from India Biodiversity Portal publication grade dataset. 151 records from iNaturalist Research-grade Observations. Data from some individual datasets included in this download may be licensed under less restrictive terms. ... Dataset Canis lupus DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic GBIF
biodiversity
species occurrences
spellingShingle GBIF
biodiversity
species occurrences
GBIF.Org User
Occurrence Download ...
topic_facet GBIF
biodiversity
species occurrences
description A dataset containing 153 species occurrences available in GBIF matching the query: { "and" : [ "BasisOfRecord is Human Observation", "Continent is Asia", "Country is India", "Geometry POLYGON((73.25413 12.73353,77.75008 12.551,84.6198 16.51135,89.94734 22.39088,87.35367 28.34105,76.90889 31.54835,66.9548 29.64058,73.25413 12.73353))", "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "TaxonKey is Canis lupus Linnaeus, 1758", "Year 2020-2023" ] } The dataset includes 153 records from 2 constituent datasets: 2 records from India Biodiversity Portal publication grade dataset. 151 records from iNaturalist Research-grade Observations. Data from some individual datasets included in this download may be licensed under less restrictive terms. ...
format Dataset
author GBIF.Org User
author_facet GBIF.Org User
author_sort GBIF.Org User
title Occurrence Download ...
title_short Occurrence Download ...
title_full Occurrence Download ...
title_fullStr Occurrence Download ...
title_full_unstemmed Occurrence Download ...
title_sort occurrence download ...
publisher The Global Biodiversity Information Facility
publishDate 2023
url https://dx.doi.org/10.15468/dl.zh7p3t
https://www.gbif.org/occurrence/download/0061796-230224095556074
genre Canis lupus
genre_facet Canis lupus
op_relation https://dx.doi.org/10.15468/rs5upd
https://dx.doi.org/10.15468/ab3s5x
op_rights Creative Commons Attribution Non Commercial 4.0 International
https://creativecommons.org/licenses/by-nc/4.0/legalcode
cc-by-nc-4.0
op_doi https://doi.org/10.15468/dl.zh7p3t10.15468/rs5upd10.15468/ab3s5x
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