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365
datasets available to search
ShareScore release 0.7.1
Dataset results
365 results for “Spatial modeling”
Spatial transcriptomics reveals the immunomodulatory activities of an oncolytic adenovirus armed with a type I interferon in a replication-permissive immunocompetent pancreatic cancer model
GEO Series GSE286008. Mesocricetus auratus. 4 samples. Type: Other.
Characterization of cuprizone mouse model at single-cell and spatial transcriptomics level[Spatial Transcriptomics]
GEO Series GSE255370. Mus musculus. 28 samples. Type: Other.
Spatial transcriptomic validation of a biomimetic model of fibrosis enables re-evaluation of a therapeutic antibody targeting LOXL2
GEO Series GSE255705. Homo sapiens. 48 samples. Type: Expression profiling by high throughput sequencing.
Differential expression analysis in single cell and spatial RNASeq without model assumptions
GEO Series GSE299816. Mus musculus. 1 samples. Type: Other.
Spatial crosstalk modeling of the tumor microenvironment uncovers CCR5-mediated glia-to-glia signaling as a key regulator of brain metastases
GEO Series GSE291206. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Comprehensive immune profiling reveals IFN-γ signaling in T cells mediates parasite phagocytosis in a rodent malaria model : Spatial transcriptomics data
GEO Series GSE283333. Mus musculus. 2 samples. Type: Other.
Characterization of cuprizone mouse model at single-cell and spatial transcriptomics level
GEO Series GSE255371. Mus musculus. 86 samples. Type: Expression profiling by high throughput sequencing; Other.
Characterization of cuprizone mouse model at single-cell and spatial transcriptomics level[bulk RNA-seq]
GEO Series GSE255368. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.
Single-cell and spatial transcriptomics of A-P and D-V patterned human trunk embryoid model (hTEM)
GEO Series GSE314260. Homo sapiens. 17 samples. Type: Expression profiling by high throughput sequencing; Other.
Code and data from : Using a spatially explicit population model to evaluate cost-effective management scenarios for an invasive deer population
<p>This record contains the following:</p> <p>-"WoJ SEPM.Rmd": Script used to build our spatially explicit population model, run simulations for our scenarios and calculate population summary statistics</p> <p>-"WoJ cpue.Rmd": Script used to run our catch-per-unit-effort model that estimates relationship between deer density and number of deer shot per hour</p> <p>-"Cost estimates.Rmd": Script used to calculate costs for each scenario</p> <p>-"Costs functions.R": Functions that are called in the "Cost estimates" script.</p> <p> </p> <p>In addition, all datafiles required to run the scrips are included here.</p>
Trend analysis and random forests models assessing spatial and temporal patterns of wildfire probability for the eastern United States
<p>We used historic fire perimeters from Monitoring Trends in Burn Severity to assess trends and drivers of wildfires in the eastern United States. We used a suite of predictor variables relating to weather, vegetation cover, and human infrastructure to parameterize random forests models predicting fire occurrence. Models were used to project annual burned areas using all selected predictors, and to project the marginal response of annual burned areas to the most important weather predictors. This dataset includes Python scripts, raster maps of fire probability, and tables summarizing analysis results. </p>
Case data: modeling spatial determinants of sugarcane abandonment in Rio de Janeiro
<p>This repository encompasses datasets for modeling spatial determinants of sugarcane abandonment in Rio de Janeiro, Brazil. Data includes previously published datasets and other publicly available data. Sugarcane mapping datasets should be referred to as outcomes from publication: https://doi.org/10.1016/j.rse.2022.113194 and might be used freely. The other datasets come from secondary sources and might be used for reproducibility. Further uses depend on the original data source policy. </p> <p>MSWEP data is released under the Creative Commons Attribution-NonCommercial 4.0 International (<a href="https://creativecommons.org/licenses/by-nc/4.0/">CC BY-NC 4.0</a>) license. Please get in touch with the authors if you are affiliated with a commercial entity and want to try MSWEP. If you do not have a commercial affiliation and you intend to use the product for non-commercial purposes, please send the authors a request using the form on MSEP webpage: <a href="http://www.gloh2o.org/mswep/">http://www.gloh2o.org/mswep/</a></p>
Characterization of cuprizone mouse model at single-cell and spatial transcriptomics level[snRNA-seq]
GEO Series GSE255369. Mus musculus. 45 samples. Type: Expression profiling by high throughput sequencing.
Spatial transcriptomics reveals distinct tumor microenvironment of murine breast cancer model undergoing treatment with a humanized monoclonal antibody targeting FABP4
GEO Series GSE264099. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing; Other.
A spatial transcriptomics based Label-free Method for Assessment of Human Stem Cell Distribution and Effects in a Mouse Model of Lung Fibrosis
GEO Series GSE253378. Homo sapiens; Mus musculus. 5 samples. Type: Other.
Enhancing Immunotherapy Outcomes: Spatial Multi-Omics Predictive Models for Non-Small Cell Lung Cancer
GEO Series GSE271689. Homo sapiens. 586 samples. Type: Expression profiling by high throughput sequencing.
Enhancing Immunotherapy Outcomes: Spatial Multi-Omics Predictive Models for Non-Small Cell Lung Cancer [GeoMx DSP]
GEO Series GSE292098. Homo sapiens. 315 samples. Type: Other.
Pro-inflammatory Pathways Contribute to Pathogenesis of Clostridioides difficile Infection in a Murine Model - A Spatial Transcriptomics Study
GEO Series GSE288150. Mus musculus. 187 samples. Type: Other.
Spatial Transcriptomics reveals brain regional gene expression profiles in murine model of Periventricular Heterotopia
GEO Series GSE256342. Mus musculus. 76 samples. Type: Other.
Input data for a spatial urban sprawl model
<p>Input data for projecting global urban extent under future shared socioeconomic pathways (2010-2100)</p>
ScienceDex guides
Understand access before you commit
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.