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365
datasets available to search
ShareScore release 0.7.1
Dataset results
365 results for “Spatial modeling”
Spatial transcriptomics tools allow for regional exploration of heterogeneous muscle pathology in the pre-clinical rabbit model of rotator cuff tear
GEO Series GSE210773. Oryctolagus cuniculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Multi-transcriptomics reveals brain cellular responses to peripheral infection in Alzheimer's disease model mice [spatial transcriptomics]
GEO Series GSE218360. Mus musculus. 8 samples. Type: Other.
Spatially-patterned and functional kidney assembloids recapitulate progenitor self-assembly and enable high-fidelity in vivo disease modeling [hKPA_TT_data]
GEO Series GSE297771. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Molecular and spatial transcriptomic classification of midbrain dopamine neurons and their alterations in a LRRK2G2019S model of Parkinson’s disease
GEO Series GSE271781. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Spatiotemporal Landscape in Kidney of A Mouse Model of Hyperuricemia at Single-Cell Level [spatial transcriptomics data]
GEO Series GSE258959. Mus musculus. 4 samples. Type: Other.
Salivary gland transcriptomic analysis in the IL-14α transgenic mouse model of Sjögren’s disease using Visium V1 3' spatial gene expression assay
GEO Series GSE298921. Mus musculus. 2 samples. Type: Other.
Microglia - astrocyte cross-talk in the amyloid plaque niche of an Alzheimer's disease mouse model as revealed by spatial transcriptomics
GEO Series GSE263793. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing; Other.
Unique gene expression in Down syndrome mouse model contingent on spatial subregion in excitatory hippocampal neurons during early midlife
GEO Series GSE283699. Mus musculus. 81 samples. Type: Expression profiling by high throughput sequencing.
Visium Spatial Transcriptomics of a murine model of IPMN
GEO Series GSE233317. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing; Other.
Spatial transcriptomics (Visium, 10x Genomics) data of Duchenne mouse models
GEO Series GSE199659. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
In vitro Modeling of the Human Dopaminergic System using spatially arranged ventral Midbrain-Striatum-Cortex Assembloids [Smartseq]
GEO Series GSE219246. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing.
Visium Spatial Transcriptomics of IPMN model mice with Kras;Gnas mutation
GEO Series GSE275405. Mus musculus. 4 samples. Type: Other.
Microglia - astrocyte cross-talk in the amyloid plaque niche of an Alzheimer’s disease mouse model as revealed by spatial transcriptomics (Stereo-seq Spatial Transcriptomics)
GEO Series GSE263789. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing; Other.
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.
Data for manuscript: Sediment Routing and Floodplain Exchange (SeRFE): A spatially explicit model of sediment balance and connectivity through river networks
<p>Data used to calibrate and run the SeRFE model in the applications presented in the manuscript "Sediment Routing and Floodplain Exchange (SeRFE): A spatially explicit model of sediment balance and connectivity through river networks."</p>
Bayesian regional flood frequency analysis with GEV hierarchical models under spatial dependency structures (code and dataset)
<p>The provided material contains the dataset and the models' code used in the article named “Bayesian regional flood frequency analysis with GEV hierarchical models under spatial dependency structures”.</p>
Dataset for "Modelling impacts of spatially variable erosion drivers on suspended sediment dynamics"
<p>Dataset for publication:</p> <p>Battista, P. Molnar, and P. Burlando. Modelling impacts of spatially variable erosion drivers on suspended sediment dynamics. Earth Surface Dynamics, 8(3):619{635, jul 2020a. ISSN 2196-632X. doi: 10.5194/esurf-8-619-2020.</p>
Data from: Modeling spatial patterns of soil respiration in maize fields from vegetation and soil property factors with the use of remote sensing and geographical information system
To examine the method for estimating the spatial patterns of soil respiration (Rs) in agricultural ecosystems using remote sensing and geographical information system (GIS), Rs rates were measured at 53 sites during the peak growing season of maize in three counties in North China. Through Pearson's correlation analysis, leaf area index (LAI), canopy chlorophyll content, aboveground biomass, soil organic carbon (SOC) content, and soil total nitrogen content were selected as the factors that affected spatial variability in Rs during the peak growing season of maize. The use of a structural equation modeling approach revealed that only LAI and SOC content directly affected Rs. Meanwhile, other factors indirectly affected Rs through LAI and SOC content. When three greenness vegetation indices were extracted from an optical image of an environmental and disaster mitigation satellite in China, enhanced vegetation index (EVI) showed the best correlation with LAI and was thus used as a proxy for LAI to estimate Rs at the regional scale. The spatial distribution of SOC content was obtained by extrapolating the SOC content at the plot scale based on the kriging interpolation method in GIS. When data were pooled for 38 plots, a first-order exponential analysis indicated that approximately 73% of the spatial variability in Rs during the peak growing season of maize can be explained by EVI and SOC content. Further test analysis based on independent data from 15 plots showed that the simple exponential model had acceptable accuracy in estimating the spatial patterns of Rs in maize fields on the basis of remotely sensed EVI and GIS-interpolated SOC content, with R2 of 0.69 and root-mean-square error of 0.51 µmol CO2 m−2 s−1. The conclusions from this study provide valuable information for estimates of Rs during the peak growing season of maize in three counties in North China.
Post-processed output for paper "Spatial and interannual variability of the Antarctic Slope Current in an eddying ocean-sea ice model"
<p>This dataset contains processed output of the ACCESS-OM2-01 global ocean-sea ice model.</p> <p>The processed output was used for analyses of the paper:</p> <p>Huneke W. G. C., Morrison A. K., Hogg A. McC. Spatial and interannual variability of the Antarctic Slope Current in an eddying ocean-sea ice model, 2022, Journal of Physical Oceanography, doi:10.1175/JPO-D-21-0143.1</p> <p>The Github repository github.com/wghuneke/ASC_SpatialTemporalVariability contains Jupyter notebooks and instructions for how to produce these files from the raw model output.</p> <p>Contact wilma.huneke@anu.edu.au if you want access to the ACCESS-OM2-01 raw model output itself.</p>
Input dataset - Comparative Study of Spatial and Non-spatial Modelling in Price Prediction
<p>Raw and pre-processed dataset for case-study: Comparative Study of Spatial and Non-spatial Modelling in Price Prediction.</p> <p><a href="https://github.com/HassanAli99/Spatial-vs-NonSpatial-Price-Prediction">GitHub</a> </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.