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103 results for “gbif”
Raw GBIF data used in the article "Climate-induced range shifts drive adaptive response via spatio-temporal sieving of alleles"
<p>This table contains the raw (unfiltered) species occurrence data for Dianthus sylvestris complied from GBIF. A filtered subset of this data was combined with other data sources to define the input for the species distribution models used in the article "Climate-induced range shifts drive adaptive response via spatio-temporal sieving of alleles".</p>
Clownfish Hosting Anemone Location Data from GBIF
<p>This is a location dataset derived from GBIF location data for the 10 Clownfish hosting anemones. The data was downloaded, filtered, and used to create range maps in R. The species included are:</p> <ol> <li>Cryptodendrum adhaesivum</li> <li>Entacmaea quadricolor</li> <li>Heteractis aurora</li> <li>Heteractis crispa</li> <li>Heteractis magnifica</li> <li>Heteractis malu</li> <li>Macrodactyla doreensis</li> <li>Stichodactyla gigantea</li> <li>Stichodactyla haddoni</li> <li>Stichodactyla mertensii</li> </ol>
Expert review of iNaturalist identifications of Australian millipedes in GBIF
<p>This tab-separated file ("millipede_review.txt") is derived from the "verbatim.txt" file in a Darwin Core archive downloaded 2023-03-24 from GBIF (DOI: <a href="https://doi.org/10.15468/dl.jtpncb">https://doi.org/10.15468/dl.jtpncb</a>). The 2029 records in the download are "Research Grade" <em>iNaturalist</em> observations of millipedes observed in Australia. Encoding is UTF-8.</p> <p>The dataset has the following Darwin Core fields from "verbatim.txt" and my added fields (fieldnames in capitals):</p> <p>gbifID = GBIF occurrence record code; record accessible as https://www.gbif.org/occurrence/[gbifID]</p> <p>catalogNumber = <em>iNaturalist</em> observation number; record accessible as https://www.inaturalist.org/observations/[catalogNumber]</p> <p>scientificName = the taxon identification made on the <em>iNaturalist</em> platform and accepted by GBIF</p> <p>IDCHECK = my assessment of the identification (see below)</p> <p>COMMENT = my explanation for doubting an identification (see below)</p> <p>recordedBy = the name used for copyright assignment by the original observer on <em>iNaturalist</em></p> <p>USERNAME = the<em> iNaturalist</em> username of the original observer</p> <p>RGID1 = the <em>iNaturalist</em> username of the first person to suggest the final, accepted identification</p> <p>RGID2 = the<em> iNaturalist</em> username of the second person to suggest the final, accepted identification</p> <p>RGID3 = the <em>iNaturalist</em> username of the third person to suggest the final, accepted identification</p> <p>RGID4 = the <em>iNaturalist</em> username of the fourth person to suggest the final, accepted identification</p> <p>RGID5 = the<em> iNaturalist</em> username of the fifth person to suggest the final, accepted identification</p> <p>I reviewed the images and image sets on <em>iNaturalist</em> that are referred to in these records between 2023-03-24 and 2023-04-02. I classed the <em>iNaturalist</em> identifications in the IDCHECK field as follows:</p> <p>correct - The image clearly shows the diagnostic characters of the taxon</p> <p>likely - The ID is probably correct, but I can't be sure because diagnostic characters aren't clearly visible in the image</p> <p>possible - The ID might be correct, but the image isn't good enough to distinguish the identified taxon from another, similar taxon</p> <p>unlikely - The ID is probably incorrect because the image appears to show a different taxon, although diagnostic characters aren't clearly visible</p> <p>incorrect - The image clearly shows the diagnostic characters of a different taxon</p>
Using GBIF to Demonstrate Colonial Legacies on Biodiversity Data
Open the record for dataset details and reuse information.
Archived GBIF Dataset: Endemic plants of the Congo basin
<p>This dataset was archived from GBIF on 2020-09-10. More up to date data on the specimens inside can be found in the <a href="https://doi.org/10.15468/wrthhx">Meise Botanic Garden Herbarium dataset</a>.</p> <p><strong>Description</strong></p> <p>Specimens of plants endemic to either Burundi, Democratic Republic of the Congo<br> or Rwanda</p> <p><strong>Temporal scope</strong></p> <ul> <li>January 1, 1890 - December 31, 2014</li> </ul> <p><strong>Geographic scope</strong></p> <p>Rwanda, Democratic Republic of the Congo & Burundi</p>
Image of all georeferenced data mediated through GBIF
<p>A 512px image of the GBIF world data.</p>
FIGURE 11 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)
FIGURE 11. Chrysis (Pentachrysis) zharptitza Semenov-Tian-Shanskij. Image taken from the manuscripts.
FIGURE 16 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)
FIGURE 16. Handwritten locality labels by Linsenmaier: A) original label handwritten in 1949; B) label probably rewritten in the 1980s.
FIGURE 17 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)
FIGURE 17. Type labels handwritten by Linsenmaier, based on specimens described in 1951: A) original label handwritten in 1951 (C. ignita var. mediata Linsenmaier, 1951); B) label rewritten probably in 1959 (H. amoenula var. virideaurata Linsenmaier, 1951); C) label rewritten in 1959 (original combination C. germari var. lucida Linsenmaier, 1951).
GBIF data summaries: GBIF national node type records: Sweden
GBIF—the Global Biodiversity Information Facility—is an international network and research infrastructure funded by the world__s governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth. <p></p>https://www.gbif.org
GBIF data summaries: GBIF national node type records: Brazil
GBIF—the Global Biodiversity Information Facility—is an international network and research infrastructure funded by the world__s governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth. <p></p>https://www.gbif.org
GBIF data summaries: GBIF national node type records: UK
GBIF—the Global Biodiversity Information Facility—is an international network and research infrastructure funded by the world__s governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth. <p></p>https://www.gbif.org
GBIF data summaries: GBIF national node type records: Netherlands
GBIF—the Global Biodiversity Information Facility—is an international network and research infrastructure funded by the world__s governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth. <p></p>https://www.gbif.org
GBIF data summaries: GBIF national node type records: Germany
GBIF—the Global Biodiversity Information Facility—is an international network and research infrastructure funded by the world__s governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth. <p></p>https://www.gbif.org
Treechange-GBIF v1
<p>This is a GBIF bulk download made in 2018 for Tree species distribution used in several projects and initially presented in Serra-Diaz, J.M., Enquist, B.J., Maitner, B. <em>et al.</em> Big data of tree species distributions: how big and how good?. <em>For. Ecosyst.</em> <strong>4</strong>, 30 (2017). https://doi.org/10.1186/s40663-017-0120-0. Beware that this is the bulk GBIF download with initial labeling system presented in Serra-Diaz et al. 2017</p>
GBIF mediated occurrences of Fabaceae
<p>GBIF mediated occurrences of Fabaceae from 2021-02-04.</p>
GBIF data for Marcer A., Chapman A., Wieczorek J.R., Picó F.X., Uribe F., Waller J. and Ariño A. (2022) "Uncertainty matters: ascertaining where specimens in natural history collections come from and its implications for predicting species distributions." Ecography.
<p>This is the dataset used in the following publication:</p> <p>Marcer A., Chapman A., Wieczorek J.R., Picó F.X., Uribe F., Waller J. and Ariño A. (2022) "Uncertainty matters: ascertaining where specimens in natural history collections come from and its implications for predicting species distributions." Ecography.</p> <p>Code can be found at: https://github.com/arnaldmarcer/NHC-GeoUncertainty</p>
Metadata for cited GBIF download
<p>First all the download keys were retrieved by using the GBIF literature API (https://www.gbif.org/developer/literature), then the GBIF Registry database was queried to get the metadata information about the downloads.</p>
test files: gbif sample
For testing of harvesting code<p></p>
GBIF data summaries: GBIF classification
<p></p>https://eol-jira.bibalex.org/browse/DATA-1826
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