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645 results for “Spatial distributions”

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dryad28/100

Data from: Spatial and temporal patterns of nest distribution influences sexual selection in a marine fish

Open the record for dataset details and reuse information.

publicJan 2018View details →
dryad28/100

Data from: Lateralization in alpha-band oscillations predicts the locus and spatial distribution of attention

Open the record for dataset details and reuse information.

publicApr 2017View details →
geo24/100

Mechanistic Studies of the Regulation of Cardiomyocytes Spatial Distributions by Heterogeneous Erbb2 Expression [scRNA-Seq]

GEO Series GSE261718. Danio rerio. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2025View details →
geo24/100

Spatial distribution and chromatin accessibility determine the therapeutic capacity of microglial subsets during neurodegeneration [scRNAseq2_Csf1]

GEO Series GSE296027. Mus musculus. 17 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2025View details →
geo24/100

Spatial Transcriptomics-based Identification of Molecular Markers for Nanomedicine Distribution in Tumor Tissue

GEO Series GSE196506. Mus musculus. 1 samples. Type: Other.

openGEO-OpenAug 2024View details →
geo24/100

Pre-rRNA spatial distribution and functional organisation of the nucleolus

GEO Series GSE301874. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2025View details →
geo24/100

Spatial distribution and chromatin accessibility determine the therapeutic capacity of microglial subsets during neurodegeneration [scRNAseq1_LPS_ABX]

GEO Series GSE296026. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2025View details →
geo24/100

Spatial distribution and chromatin accessibility determine the therapeutic capacity of microglial subsets during neurodegeneration [ATAC-seq]

GEO Series GSE296025. Mus musculus. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenApr 2025View details →
geo24/100

Spatial Distribution of LTi-like Cells in Intestinal Mucosa Regulates Type 3 Innate Immunity

GEO Series GSE173144. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2021View details →
geo24/100

Temporo-spatial distribution and transcriptional profile of retinal microglia in the oxygen-induced retinopathy mouse model

GEO Series GSE132731. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2020View details →
zenodo24/100

Spatial distribution and impacts of aerosols on clouds under Meiyu frontal weatherbackground over central China based on aircraft observations

<p>Data from six flights carried out across sixdays were selected for this study.</p>

opencc-by-4.0Jan 2020View details →
dryad24/100

Data from: Spatial distribution of flower color induced by interspecific sexual interaction

Understanding the mechanisms shaping the spatiotemporal distribution of species has long been a central concern of ecology and evolutionary biology. Contemporary patterns of plant assemblies suggest that sexual interactions among species, i.e., reproductive interference, lead to the exclusive distributions of closely related species that share pollinators. However, the fitness consequences and the initial ecological/evolutionary responses to reproductive interference remain unclear in nature, since reproductive isolation or allopatric distribution has already been achieved in the natural community. In Japan, three species of blue-eyed grasses (Sisyrinchium) with incomplete reproductive isolation have recently colonized and occur sympatrically. Two of them are monomorphic with white flowers, whereas the other exhibits heritable color polymorphism (white and purple morphs). Here we investigated the effects of the presence of two monomorphic species on the distribution and reproductive success of color morphs. The frequency and reproductive success of white morphs decreased in area where monomorphic species were abundant, while those of purple morphs did not. The rate of hybridization between species was higher in white morphs than in the purple ones. Resource competition and habitat preference seemed not to contribute to the spatial distribution and reproductive success of two morphs. Our results supported that color-dependent reproductive interference determines the distribution of flower color polymorphism in a habitat, implying ecological sorting promoted by pollinator-mediated reproductive interference. Our study helps us to understand the evolution and spatial structure of flower color in a community.

opencc-zeroDec 2015View details →
zenodo24/100

Data used for Investigating the role of Amazonian mesoscale wind patterns and strength on the spatial distribution of Martian bedrock exposures

<p>This upload contains four distinct zipped files with several different datasets contained within used for the analysis in publication &quot;Investigating the role of Amazonian mesoscale wind patterns and strength on the spatial distribution of Martian bedrock exposures&quot; by Gary-Bicas et al., 2022 Description for each dataset is below.</p> <p>- External data (Contains data used for thermophysical and morphological analysis).</p> <ul> <li>binary files NBmap2007.bin&nbsp;(Putzig and Mellon, 2007) and nmap2003.bin( Putzig et al., 2005) . These contain global Mars thermal inertia maps using the Thermal Emission Spectrometer (TES) onboard Mars Global Surveyor (MGS)&nbsp;</li> <li>Comma separated files with terminations &quot;...USGS.csv&quot; these are files extracting data for the studies&#39; regions from the Mars global USGS geologic map #3292 (Tanaka et al., 2014)&nbsp;</li> <li>Shape file for bedrock designations (bedrock.[shp,shx,prj,dbf]) created by Cowart et al., 2019 where they mapped locations with bedrock exposures on Mars. We also include comma separated value files of the same maps for locations studied in this analysis (files with termination &quot;...bedrock.csv&quot;)</li> <li>Shape file included has the locations of craters identified in all study regions for analysis (craters.point.[shp,shx,prj,dbf] and craters.polygon.[shp,shx,prj,dbf]) paired with the comma separated value intracrat.csv</li> <li>Shape file with study locations for analysis (windo_modeling_locations_revised3.[shp,shx,prj,dbf])</li> </ul> <p>- MRAMS data files.zip</p> <ul> <li>Contains 11 simulated climate states for each of the ten study location in analysis as well as Jezero crater using the Mars Regional Atmospheric Modeling System (MRAMS, Rafkin and Michaels, 2019). For each simulated case there are 4 seasonal time steps equating to 44 simulated cases for each study region in total (484 files) see associated python software publication indicating ingestion and processing of MRAMS datasets</li> </ul> <p>- MRAMS output files.zip</p> <ul> <li>After ingesting the datasets in MARS data files.zip into a python algorithm (see associated software publication) values for Wind Erosion Potential were extracted from the datasets and weighted sums were conducted to get annual values (see manuscript&nbsp;publication and associated python software publication,&quot;MRAMS Data Output.ipynb&quot;) data was output into comma separated values for ease of use</li> </ul> <p>-MRAMS elevation and slope files.zip</p> <ul> <li>MRAMS data from output files.zip was further ingested into other algorithms to extract elevation and terrain slope values (see associated python software publication, &quot;MRAMS Data Output.ipynb&quot;) that were output into comma separated values for ease of use</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2022View details →
zenodo24/100

Figure 1d from: Rocchini D, Garzon-Lopez CX (2017) Cartograms tool to represent spatial uncertainty in species distribution. Research Ideas and Outcomes 3: e12029. https://doi.org/10.3897/rio.3.e12029

Figure 1d - All taxa

opencc-by-4.0Feb 2017View details →
zenodo24/100

Figure 1b from: Rocchini D, Garzon-Lopez CX (2017) Cartograms tool to represent spatial uncertainty in species distribution. Research Ideas and Outcomes 3: e12029. https://doi.org/10.3897/rio.3.e12029

Figure 1b - Fungi

opencc-by-4.0Feb 2017View details →
zenodo24/100

Figure 1c from: Rocchini D, Garzon-Lopez CX (2017) Cartograms tool to represent spatial uncertainty in species distribution. Research Ideas and Outcomes 3: e12029. https://doi.org/10.3897/rio.3.e12029

Figure 1c - Animals

opencc-by-4.0Feb 2017View details →
zenodo24/100

Figure 1a from: Rocchini D, Garzon-Lopez CX (2017) Cartograms tool to represent spatial uncertainty in species distribution. Research Ideas and Outcomes 3: e12029. https://doi.org/10.3897/rio.3.e12029

Figure 1a - Plants

opencc-by-4.0Feb 2017View details →
zenodo24/100

Figure 1 from: Vilenica M, Brigić A, Kerovec M, Gottstein S, Ternjej I (2016) Spatial distribution and seasonal changes of mayflies (Insecta, Ephemeroptera) in a Western Balkan peat bog. ZooKeys 637: 135-149. https://doi.org/10.3897/zookeys.637.10359

Figure 1 - Geographical position of the Đon močvar peat bog, Croatia.

opencc-by-4.0Dec 2016View details →
zenodo24/100

Spatial distribution of Forest Structure and Carbon Stock in Japan

<p>This repository contains the results for the paper entitled:High-Resolution Mapping of Forest Structure and Carbon Stock using Multi-source Remote Sensing Data in Japan.</p> <p><a href="https://doi.org/10.1016/j.rse.2024.114322">https://doi.org/10.1016/j.rse.2024.114322</a></p> <p>The dataset includes forest height, volume, AGB and carbon density across Japan with a spatial resolution at 10 m.</p> <div> <p>The data is retained in integer format (8 or 16-bit unsigned). For higher precision data, please contact the corresponding author.</p> <p>-------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>Projection: EPSG:3857 WGS 84 / Pseudo-Mercator</p> <p>Spatial resolution: 10 m</p> <p>Forest mask: JAXA HRLULC 21.03</p> <p>Traning data: Airborne LiDAR derived forest structures squared plots.</p> <p>Predictors variables: PALSAR-2,Sentinel-2,SRTM</p> <p>-------------------------------------------------------------------------------------------------------------------------------------------------------</p> </div>

opencc-by-4.0Jul 2024View details →
zenodo24/100

Spatial Distribution of Loads in Germany on State District Level

<p>The dataset contains names of districts in germany, a weighted lon and lat coordinate in EPSG:4623, a code that is the "Amtlicher Gemeindeschl&uuml;ssel (AGS)", commercial electrcity consumption in GWh, industrial consumption in GWh, residential consumption in GWh as well as the grand total.&nbsp;</p>

opencc-by-4.0Jul 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record