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1,276 results for “distribution map”
Map 6 in The scolopendromorph centipedes (Chilopoda, Scolopendromorpha) of Tunisia: taxonomy, distribution and habitats
Map 6. Distribution of C. punicus in Tunisia.
Map 5 in The scolopendromorph centipedes (Chilopoda, Scolopendromorpha) of Tunisia: taxonomy, distribution and habitats
Map 5. Distribution of C. trisulcatus in Tunisia.
Map 4 in The scolopendromorph centipedes (Chilopoda, Scolopendromorpha) of Tunisia: taxonomy, distribution and habitats
Map 4. Distribution of O. spinicaudus in Tunisia. The Matmata record is marked with an arrow.
Map 3 in The scolopendromorph centipedes (Chilopoda, Scolopendromorpha) of Tunisia: taxonomy, distribution and habitats
Map 3. Distribution of C. gervaisianus in Tunisia.
Map 1 in The scolopendromorph centipedes (Chilopoda, Scolopendromorpha) of Tunisia: taxonomy, distribution and habitats
Map 1. Distribution of S. canidens in Tunisia.
Figures 29-30. Acontia distribution maps. 29 A. areloides. 30 A in Review of the Acontia areli group with descriptions of three new species (Lepidoptera, Noctuidae, Acontiinae)
Figures 29-30. Acontia distribution maps. 29 A. areloides. 30 A. albifusa.
Data package from "Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images"
<p>This data package contains the very high resolution maps of canopy palms from the paper "Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images". These maps have been produced with two GeoEye-1 very high resolution images (0.5 m) and a Deep Learning method for image segmentation called U-net, methods and data are fully described in the article. The total size of the decompressed archive is 2.56 Go and is distributed in two shapefiles, one for each GeoEye-1 image. When using this dataset, please cite the original article https://doi.org/10.3390/rs12142225</p>
FIGURES 29 – 30. Pneuminion distribution maps. — 29. P. punctatum. — 30. P in A revision of the South African endemic water beetle genus Pneuminion Perkins (Coleoptera: Hydraenidae)
FIGURES 29 – 30. Pneuminion distribution maps. — 29. P. punctatum. — 30. P. natalensis.
Figure 1. from Extending Marine Species Distribution Maps Using Non-Traditional Sources - Biodiversity Data Journal 3: e4900 (17 April 2015) https://doi.org/10.3897/BDJ.3.e4900
Figure 1. - The IUCN Red List Review Process (IUCN 2014a). Steps refer to the DOCUMENTATION STANDARDS AND CONSISTENCY CHECKS FOR IUCN RED LIST ASSESSMENTS AND SPECIES ACCOUNTS (IUCN 2013).
Australian Frog Atlas: Fine-scale species distribution maps informed by the FrogID dataset
<p>This is version three of the Australian Frog Atlas: shapefiles and KML files of the most up to date, accurate and detailed set of Australian frog species distribution maps available, and both a shapefile and detailed PDF map of Australian frog species richness. All of these are available as a free resource under the Creative Commons Attribution (CC-BY) 4.0 License. When using any material from the Australian Frog Atlas, please refer to and cite Cutajar et al. (2022), outlined in full below, which introduces the dataset and describes it in detail.</p> <p>Cutajar. T. P., Portway, C. D., Gillard, G. L., and Rowley, J. J. L. (2022) Australian Frog Atlas: Fine-scale species distribution maps informed by the FrogID dataset. <em>Technical Reports of the Australian Museum Online</em>. 36: 1-48. <a href="https://doi.org/10.3853/j.1835-4211.36.2022.1789">https://doi.org/10.3853/j.1835-4211.36.2022.1789</a></p> <p><strong>Caveat:</strong> The occurrence data used in the development of these maps are from a range of sources. Every effort has been made to ensure accuracy and completeness, including vetting of data using published literature. However, no guarantee is given, nor responsibility taken by the authors or their institutions for errors or omissions, nor in respect of any information or advice given in relation to, or as a consequence of, the maps and data provided herein. These maps are indicative only and aim to capture the known and presumed distributions of individual frog species and frog species richness within Australia. A taxonomic revision of Australo-Papuan tree frogs published in June 2025 proposes the reclassification of more than 120 Australian tree frog species (in the genera <em>Litoria</em> and <em>Cyclorana</em>) into 22 genera. This proposed change has not been adopted in this version of the Australian Frog Atlas. </p> <p> </p> <p> </p>
Indicative distribution map for Ecosystem Functional Group F1.3 Freeze-thaw rivers and streams
<p>This archive contains indicative distribution maps and profiles for <strong>F1.3 Freeze-thaw rivers and streams</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Mapping multiscale breeding bird species distributions across the United States and evaluating their conservation applications
<p>Species distribution models are vital to management decisions that require understanding habitat use patterns, particularly for species of conservation concern. However, the production of distribution maps for individual species is often hampered by data scarcity, and existing species maps are rarely spatially validated due to limited occurrence data. Furthermore, community-level maps based on stacked species distribution models lack important community assemblage information (e.g., competitive exclusion) relevant to conservation. Thus, multispecies, guild, or community models are often used in conservation practice instead. To address these limitations, we aimed to generate fine-scale, spatially-continuous, nationwide maps for species represented in the North American Breeding Bird Survey (BBS) between 1992-2019. We generated ensemble models for each species at three spatial resolutions – 0.5, 2.5, and 5 km – across the conterminous United States. We also compared species richness patterns from stacked single-species models with those of 19 functional guilds developed using the same data to assess the similarity between predictions. We successfully modeled 192 bird species at 5-km resolution, 160 species at 2.5-km resolution, and 80 species at 0.5-km resolution. However, the species we could model represent only 28-56% of species found in the conterminous US BBS surveys across resolutions owing to data limitations. We found stacked maps and guild maps generally had high correlations across resolutions (median = 84%), but spatial agreement varied regionally by resolution and was most pronounced between the East and West at the 5-km resolution. The spatial differences between our stacked maps and guild maps illustrate the importance of spatial validation in conservation planning. Overall, our species maps are useful for single-species conservation and can support fine-scale decision-making across the United States, and can also support community-level conservation when used in tandem with guild maps. However, there are still data scarcity issues for many species of conservation concern when using the BBS for single-species models.</p>
Figure 1. The map illustrates 142 in Taxonomy, distribution, and ecology of crustacean zooplankton in trough waters of Ankara (Turkey)
Figure 1. The map illustrates 142 trough sites sampled in Ankara.
Figure 1 – Distribution map for L. eketi, L. seyboui, L in Taxonomic notes on Liptena eketi Bethune-Baker, 1926 and related species (Papilionoidea: Lycaenidae: Poritiinae)
Figure 1 – Distribution map for L. eketi, L. seyboui, L. kiellandi
Ithomiini distribution maps
<p> </p> <p>This repository contains predicted <strong>distribution maps</strong> for ithomiine butterflies (tribe Ithomiini) issued from the analyses presented in the research paper <strong>"Doré et al., 2021 - Anthropogenic pressures coincide with Neotropical biodiversity hotspots in a flagship butterfly group"</strong>: <a href="https://doi.org/10.1111/ddi.13455">https://doi.org/10.1111/ddi.13455</a>.</p> <p> </p> <p>Maps are derived from distribution models run on <strong>occurrences data</strong> available in this associated archive: <a href="https://doi.org/10.5281/zenodo.4696056">https://doi.org/10.5281/zenodo.4696056</a>.</p> <p><strong>Mimicry classification</strong> used for theses analyses is available in this associated archive: <a href="https://doi.org/10.5281/zenodo.5497876">https://doi.org/10.5281/zenodo.5497876</a>.</p> <p><strong>Scripts</strong> to reproduce these maps are available on Github at <a href="https://github.com/MaelDore/ithomiini_diversity">https://github.com/MaelDore/ithomiini_diversity</a>.</p> <p> </p> <p>This repository contains four folders with multiple maps in PDF format:<br> - <em>OMU_maps:</em> 783 maps of habitat suitability depicting current distribution of each OMU (Operational Mimicry Unit as set of subspecies within the same species that shared the same mimetic wing pattern)<br> - <em>Species_maps:</em> 388 maps of habitat suitability depicting current distribution of each species<br> - <em>Mimicry_ring_maps/Range_maps:</em> 44 maps of habitat suitability depicting current distribution of mimicry ring (including all OMUs sharing the same mimetic wing pattern)<br> - <em>Mimicry_ring_maps/Richness_maps:</em> 44 maps of local richness for each mimicry ring estimated as the number of local species/OMUs sharing this wing pattern</p> <p> </p>
Fig. 1. Distribution map for Bittacidae Handlirsch, 1906 in A review of Bittacidae (Mecoptera) in Guizhou, China with descriptions of three new species
Fig. 1. Distribution map for Bittacidae Handlirsch, 1906 in Guizhou, China.
Figure 20. Distribution maps for Paraoxypilus species, A. P. verreauxii, B. P in Review of the genera Glabromantis, Paraoxypilus, and Phthersigena (Mantodea: Nanomantidae: Fulciniinae)
Figure 20. Distribution maps for Paraoxypilus species, A. P. verreauxii, B. P. kimberleyensis.
Figure 19. Distribution maps for Paraoxypilus species, A. P. tasmaniensis, B. P in Review of the genera Glabromantis, Paraoxypilus, and Phthersigena (Mantodea: Nanomantidae: Fulciniinae)
Figure 19. Distribution maps for Paraoxypilus species, A. P. tasmaniensis, B. P. armatus.
Figure 22. Distribution maps for Glabromantis species, A. G. nebulosa, B. G in Review of the genera Glabromantis, Paraoxypilus, and Phthersigena (Mantodea: Nanomantidae: Fulciniinae)
Figure 22. Distribution maps for Glabromantis species, A. G. nebulosa, B. G. unicornis.
Mapping shallow groundwater solute footprints in arid regions using a hydrologically enhanced species distribution model
<p>The topography-only SDM of shallow groundwater and deep groundwater, the final models-SDM maps of shallow groundwater, their improvements, the original dataset of water chemistry, and the related R script in the study are available here</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.