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645 results for “Spatial distributions”
Figure 3 from: Ball-Damerow JE, Oboyski PT, Resh VH (2015) California dragonfly and damselfly (Odonata) database: temporal and spatial distribution of species records collected over the past century. ZooKeys 482: 67-89. https://doi.org/10.3897/zookeys.482.8453
Figure 3 - Relationship between species richness and total number of records by county, where each point represents a California county.
Figure 5 from: Ball-Damerow JE, Oboyski PT, Resh VH (2015) California dragonfly and damselfly (Odonata) database: temporal and spatial distribution of species records collected over the past century. ZooKeys 482: 67-89. https://doi.org/10.3897/zookeys.482.8453
Figure 5 - Number of unique county records for each collection type (Calbug collaborating institutions, non-Calbug institutions, observations - Cal Odes and Odonata Central, and private collections), and number of unique county records with two, three, and four shared data types.
Spatial dataset for ecological response models and spatial distribution of Ataeniobius toweri (Cyprinodontiformes: Goodeidae) in the Media Luna spring, Mexico
<p>Dataset for the endangered endemic fish Ataeniobius toweri in the Media Luna spring, Mexico. This information includes field records for the adult and juvenile stage of the species in three sessions corresponding to the summer period, in the years 1999, 2009 and 2019.</p> <p>Our original databases are those concerning the records of the species' presence by life stage and summer period: <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Occ_records_DOMAIN_At_Ad_09.csv?versionId=9566fb68-3948-49ca-b485-2d7aac863445">Occ_records_DOMAIN_At_Ad_09.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Occ_records_DOMAIN_At_Ad_19.csv?versionId=6f7a0f47-4990-465c-a02c-191247c395c6">Occ_records_DOMAIN_At_Ad_19.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Occ_records_DOMAIN_At_Ad_99.csv?versionId=e9158e08-bf91-4097-828f-3ce850e1bee4">Occ_records_DOMAIN_At_Ad_99.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Occ_records_DOMAIN_At_Ju_09.csv?versionId=5bd51f0e-7215-4657-bfb5-bb49e6cdd57f">Occ_records_DOMAIN_At_Ju_09.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Occ_records_DOMAIN_At_Ju_19.csv?versionId=32d0c72a-a548-406d-8694-8d939e73058e">Occ_records_DOMAIN_At_Ju_19.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Occ_records_DOMAIN_At_Ju_99.csv?versionId=d786131a-f445-44d2-a319-0a75aa666f3f">Occ_records_DOMAIN_At_Ju_99.csv</a>.</p> <p>From the above files, we generate the following dataset:</p> <p>The general basis of the species records by life stage and period: <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Occ_records_by_sector&period_At_Ad_Ju.csv?versionId=13ffb71e-ef52-43f0-9605-e416359d5997">Occ_records_by_sector&period_At_Ad_Ju.csv</a>.</p> <p>The database that includes the 500 background points generated from records of the species' presence by life stage: <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pres_back_GLM_At_Ad_09.csv?versionId=7083cda2-a16d-4a25-9404-4c134adc2fa5">Pres_back_GLM_At_Ad_09.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pres_back_GLM_At_Ad_19.csv?versionId=2cbd76f6-241d-4035-b25b-1ce490362d6a">Pres_back_GLM_At_Ad_19.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pres_back_GLM_At_Ad_99.csv?versionId=c570be15-2b21-4a2e-9377-0e7962a26d1b">Pres_back_GLM_At_Ad_99.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pres_back_GLM_At_Ju_09.csv?versionId=11624daf-2da0-4bb1-95d4-b3c917c94c4f">Pres_back_GLM_At_Ju_09.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pres_back_GLM_At_Ju_19.csv?versionId=1c06bcd0-4e34-49c4-859e-100f3401e225">Pres_back_GLM_At_Ju_19.csv</a> y <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pres_back_GLM_At_Ju_99.csv?versionId=e10d7c51-f6f8-407c-8141-1b0196d00aed">Pres_back_GLM_At_Ju_99.csv</a>.</p> <p>The databases with the extracted values of the underwater coverage (UC) and water depth (WDp) variables from the presence and background points: <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/GBM_rel_contribution_At_Ad_09.csv?versionId=0735fbdb-5f3d-4842-ae3e-a45e849bb12f">GBM_rel_contribution_At_Ad_09.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/GBM_rel_contribution_At_Ad_19.csv?versionId=3ba6c099-e807-4e07-b1ef-32a63d347a50">GBM_rel_contribution_At_Ad_19.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/GBM_rel_contribution_At_Ad_99.csv?versionId=49e89e06-7740-425a-be2e-db5f38c0aeca">GBM_rel_contribution_At_Ad_99.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/GBM_rel_contribution_At_Ju_09.csv?versionId=fcc857f9-4332-4e15-901e-c4deecda46ab">GBM_rel_contribution_At_Ju_09.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/GBM_rel_contribution_At_Ju_19.csv?versionId=34dd733a-af86-46ad-a973-4e90e9299117">GBM_rel_contribution_At_Ju_19.csv</a> y <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/GBM_rel_contribution_At_Ju_99.csv?versionId=c7fe7fa9-e85b-45ba-9681-21f6a9cd3924">GBM_rel_contribution_At_Ju_99.csv</a>.</p> <p>The database with the results of the relative contribution for each variable by life stage and summer period: <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Summary_GBM_At_Ad_Ju.csv?versionId=f0b0b4d4-62b0-4d95-b6f4-ec5e00b97633">Summary_GBM_At_Ad_Ju.csv</a>.</p> <p>The databases containing the correlation values between the UC and WDp variables, by Pearson's method, for each point of presence and background: <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pearson_corr_At_Ad_09.csv?versionId=99e74579-6edf-46e2-8f5d-3dd06a9a325f">Pearson_corr_At_Ad_09.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pearson_corr_At_Ad_19.csv?versionId=ea4d938e-133e-426d-b11a-85ed877876f8">Pearson_corr_At_Ad_19.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pearson_corr_At_Ad_99.csv?versionId=a499ab48-6be0-447c-9521-8e500769d4de">Pearson_corr_At_Ad_99.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pearson_corr_At_Ju_09.csv?versionId=da583fda-0bc5-4769-bab8-bfb3c365232e">Pearson_corr_At_Ju_09.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pearson_corr_At_Ju_19.csv?versionId=88e89cc1-2bfa-45cb-b6af-c87737a6fbd7">Pearson_corr_At_Ju_19.csv</a> y <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/Pearson_corr_At_Ju_99.csv?versionId=fddca19c-fa6b-460d-a571-966229fad955">Pearson_corr_At_Ju_99.csv</a>.</p> <p>And, the databases that contain the probability values for the generation of the ecological response curves in function of the UC variable: <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/At_Ad_09_Prob_UC.csv?versionId=240d8a0c-c0f6-4a1f-8983-74320b0863f8">At_Ad_09_Prob_UC.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/At_Ad_19_Prob_UC.csv?versionId=2bff87d1-b910-4cfd-b521-881e56034b19">At_Ad_19_Prob_UC.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/At_Ad_99_Prob_UC.csv?versionId=02050376-e34d-46ac-bdf9-7bc7b1f8570f">At_Ad_99_Prob_UC.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/At_Ju_09_Prob_UC.csv?versionId=a3182956-bbf4-4853-a3a2-4296e7acf79c">At_Ju_09_Prob_UC.csv</a>, <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/At_Ju_19_Prob_UC.csv?versionId=21a89330-89d3-442a-a801-19842a3bed70">At_Ju_19_Prob_UC.csv</a> y <a href="https://zenodo.org/api/files/05c9851d-72bc-406a-baee-4b09a28882b9/At_Ju_99_Prob_UC.csv?versionId=ff7d3966-6248-49d2-9000-07e374f0ba76">At_Ju_99_Prob_UC.csv</a>.</p> <p>For more information about the codes where the previous dataset was generated, visit the following repository URL: <a href="https://doi.org/10.5281/zenodo.7603557">https://doi.org/10.5281/zenodo.7603557</a>.</p> <p>Also, to download the UC and WDp variables to run the modeling processes, visit the following repository URL: <a href="https://doi.org/10.5281/zenodo.7603890">https://doi.org/10.5281/zenodo.7603890</a>.</p>
Quantity and spatial distribution of earth-air activity in Cave 108 of the Dunhuang Mogao Grottoes
<ul> <li> <p>All uploaded data are measured data.</p> </li> </ul>
Fig. 3 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 3. MALDI-MS spectrum of C. lansium fruit extract in positive ion mode.
Fig. 5 in Ground beetles (Coleoptera: Carabidae) from the region of Cape Emine (central Bulgarian Black sea coast). Part III. Spatial distribution and gradient analysis
Fig. 5. Distribution of the chorotypes: OLA – Holarctic; PAL – Palearctic; W-PAL – Western Palearctic; E-SI – Eurosiberian; E-WSI – European-Westsiberian; EUR – European; E-PAS – European-Neareastern; CE-PAS – Central European and Neareastern; C-EE – Central and Eastern European; BAL-K – Balkan-Carpathian; E-AS – Euroasiatic steppe complex; E-CAS – European and Central Asian; B-CAS – Balkan and Central Asian; B-PAS – Balkan-Neareastern (+ Balkan-Anatolian); E-CA-M – European- Centralasian-Mediterranean; E-PA-M – European-Neareastern-Mediterranean; CA- MED – Mediterranean-Centralasian; MED-PAS – Mediterranean-Neareastern; MED – Mediterranean; E-MED – Eastmediterranean; P-SMED – Pontic-Submediterranean; SE – South European; NMED – Northmediterranean; NM-CAS – Northmediterranean- Centralasian; BGE – Bulgarian endemic.
Data from: The spatial distribution of foragers and food patches can influence antipredator vigilance
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Emergence of structures from parasitic species in a spatially distributed molecular system
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Thermal constraints on energy balance, behavior, and spatial distribution of grizzly bears
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Data from: Dispersal in dendritic networks: ecological consequences on the spatial distribution of population densities
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Data from: The interaction between the spatial distribution of resource patches and population density: consequences for intra-specific growth and morphology
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Data from: Population genomic analysis suggests strong influence of river network on spatial distribution of genetic variation in invasive saltcedar across the southwestern US
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Geographic range estimates and environmental requirements for the harpy eagle derived from spatial models of current and past distribution
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Diversity and distribution across a large environmental and spatial gradient: evaluating the taxonomic and functional turnover, transitions and environmental drivers of benthic diatom communities
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Data from: Spatial distribution of nests constrains the strength of sexual selection in a warbler
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Regularized satellite tracks from: Ocean warming alters the distributional range, migratory timing, and spatial protections of an apex predator, the tiger shark (Galeocerdo cuvier)
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Spatial sampling bias and model complexity in stream-based species distribution models: a case study of Paddlefish (Polyodon spathula) in the Arkansas River basin, U.S.A.
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Data from: MHC-mediated spatial distribution in brown trout (Salmo trutta) fry
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Revealing the colourful side of birds: spatial distribution of conspicuous plumage colours on the body of Australian birds
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Data from: Spatial distribution of fishes in a Northwest Atlantic ecosystem in relation to risk of predation by a marine mammal
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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.