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90 results for “species occurrence data”
Figure 1 from: Guillaumot C, Martin A, Fabri-Ruiz S, Eléaume M, Saucède T (2016) Echinoids of the Kerguelen Plateau – occurrence data and environmental setting for past, present, and future species distribution modelling. ZooKeys 630: 1-17. https://doi.org/10.3897/zookeys.630.9856
Figure 1 - Sampling effort. Red dots depict echinoid occurrences. Black squares correspond to visited sites at which no echinoid was sampled.
Occurrence data for 18 tree species used in a common garden experiment
<p>Occurance data for 18 tropical rainforest tree species from across their home range downloaded from gbif, processed and used in the determination of ecoclimatic niche maps as part of work examinnig variation in growth and survival when grown under contrasting common garden sites</p>
Linked collectors and determiners for: NatureServe Network Species Occurrence Data.
Natural history specimen data linked to collectors and determiners held within, "NatureServe Network Species Occurrence Data". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7fd12114-9010-4c13-8f46-990fe04ca882">https://bionomia.net/dataset/7fd12114-9010-4c13-8f46-990fe04ca882</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7fd12114-9010-4c13-8f46-990fe04ca882">https://gbif.org/dataset/7fd12114-9010-4c13-8f46-990fe04ca882</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Taxonomy notes and new occurrence data of four species of atyid shrimp (Crustacea: Decapoda: Atyidae) in Vietnam, all described from China.
Natural history specimen data linked to collectors and determiners held within, "Taxonomy notes and new occurrence data of four species of atyid shrimp (Crustacea: Decapoda: Atyidae) in Vietnam, all described from China". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/249ee8b0-183e-418e-8db5-ded1afc3a90b">https://bionomia.net/dataset/249ee8b0-183e-418e-8db5-ded1afc3a90b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/249ee8b0-183e-418e-8db5-ded1afc3a90b">https://gbif.org/dataset/249ee8b0-183e-418e-8db5-ded1afc3a90b</a>. Formatted as a Frictionless Data package.
Data from: The relationship between native species richness and exotic species richness or occurrence will always be negative when the total number of species is accounted for in statistical models: A response to Beaury et al.
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Data from: A multi-state dynamic occupancy model to estimate local colonization-extinction rates and patterns of co-occurrence between two or more interacting species
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Data from: Heterogeneous matrix habitat drives species occurrences in complex, fragmented landscapes
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Data from: Plant-pollinator interactions over 120 years: loss of species, co-occurrence, and function
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Data and R code for: "Nineteenth-century land use shape the current occurrence of some plant species, but weakly affects richness and total composition of Central European grasslands"'
<ol> <li> <p><strong><code>IndVal.all.habitats.csv</code></strong>: the results of the IndVal statistics (<a href="https://doi.org/10.1111/j.1600-0706.2010.18334.x">De Cáceres et al. 2013</a>) for 1,498 species for the historical land use categories calculated across the entire dataset;</p> </li> <li> <p><code><strong>IndVal.separate.habitats.csv</strong></code>: the results of the IndVal statistics for 1,498 species for the historical land use categories calculated for each habitat type (dry grasslands, mesic grasslands, wet grasslands) separately;</p> </li> <li> <p><code><strong>ecological.and.disturbance.values.csv</strong></code>: the original Ellenberg-type and disturbance indicator values, and the varimax-rotated components (‘RC’) used in the analysis (data obtained from <a href="https://doi.org/10.1111/jvs.13168">Tichý et al. 2023</a> and <a href="http://dx.doi.org/10.1111/geb.13603">Midolo et al. 2023</a>; accessible at the FloraVeg.eu website <a href="https://floraveg.eu/download/" target="_new" rel="noreferrer">https://floraveg.eu/download/</a>);</p> </li> <li> <p><strong>R code and data for reproducibility</strong>. The R code is for illustration purposes only and is based on a subset of 1,184 mesic grassland vegetation plots located in the Czech Republic and in the study area. This is part of the Czech National Phytosociological Database (<a href="https://www.preslia.cz/article/387">Chytrý & Rafajová 2003</a>) and the European Vegetation Archive (<a href="https://doi.org/10.1111/avsc.12191">Chytrý et al. 2016</a>). The data includes the following:</p> <ul> <li> <p> <code>data</code> folder:</p> </li> </ul> </li> </ol> <ul> <li> <ul> <li> <ul> <li>i. <code>indicator.values.csv</code>: the original indicator values for 831 species;</li> <li>ii. <code>plot.data.csv</code>: data for each of the 1,184 vegetation plots, including their historical land use, plot size, bioclimatic variables (‘bio’; <a href="http://dx.doi.org/10.1038/sdata.2017.122">Karger et al. 2017</a>), and soil pH (<a href="https://doi.org/10.1371%2Fjournal.pone.0169748">Hengl et al. 2017</a>);</li> <li>iii. <code>species.matrix.csv</code>: community matrix reporting the relative abundance of species (columns) and plot sites (rows).</li> </ul> </li> <li>R scripts for species richness, species composition, and species indicator analyses. R script are also rendered in .html with R Markdown.</li> </ul> </li> </ul>
Fine-scale species occurrence data
<p>Surveys of individual vascular plant species occurrence and cover in quadrats of 1x1 m on sub-Antarctic Marion Island.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.