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289 results for “Genomic prediction”

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geo16/100

Predicting Relapse in Patients With Medulloblastoma by Integrating Evidence From Clinical and Genomic Feature

GEO Series GSE201583. Homo sapiens. 111 samples. Type: Expression profiling by array; Third-party reanalysis.

openGEO-OpenApr 2022View details →
geo16/100

Integrating a genome-wide association study with a large-scale transcriptome analysis to predict genetic regions influencing the glycemic index and texture in rice

GEO Series GSE123616. Oryza sativa Indica Group. 21 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2019View details →
geo16/100

Integration of genomic and clinical data to predict endometrioid endometrial cancer recurrence

GEO Series GSE216872. Homo sapiens. 61 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2022View details →
ClinicalTrials.gov16/100

Genomic Study for the Prediction of Efficacy and Adverse Effects of CD11a Monoclonal Antibodies(Raptiva)

ClinicalTrials.gov study NCT00602823. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo16/100

maxATAC: genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks

GEO Series GSE197009. Homo sapiens. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →
CCDI Federation: Kids First4/100

Comprehensive Genomic Profiling to Improve Prediction of Clinical Outcome for Children with T-cell Acute Lymphoblastic Leukemia

Namespace hosted on the Kids First DRC FHIR services at fhir.kidsfirstdrc.org

unknownView details →
zenodo4/100

Nuclear genome annotations, mRNA predictions, and protein predictions

<p>Nuclear genome annotations, mRNA predictions, and protein predictions</p>

restrictedAug 2023View details →
zenodo4/100

Augustus training parameters for CP genome predictions

<p>Augustus training parameters for CP genome predictions</p>

restrictedSep 2023View details →
dryad0/100

Data from: Environmental variation predicts patterns of phenotypic and genomic variation in an African tropical forest frog

<p>Central African rainforests are predicted to be disproportionately affected by future climate change. How species will cope with these changes is unclear, but rapid environmental changes will likely impose strong selection pressures. Here we examined environmental drivers of phenotypic and genomic variation in the central African puddle frog (<i>Phrynobatrachus auritus</i>) to identify areas of elevated environmentally-associated turnover where populations may have the greatest capacity to adapt. We also compared current and future climate models to pinpoint areas of high genomic vulnerability where allele frequencies will have to shift the most in order to keep pace with future climate change. Analyses of body size, relative leg length, and head shape suggest that seasonal aspects of temperature and precipitation significantly influence phenotypic variation, whereas geographic distance and precipitation seasonality are the most important drivers of SNP allele frequency variation. However, neither landscape barriers nor the effects of past Pleistocene refugia had any influence on genomic differentiation. Most phenotypic and genomic differentiation coincided with key ecological gradients across the forest-savanna ecotone, montane areas and a coastal to interior rainfall gradient. Areas of greatest vulnerability were found in the lower Sanaga basin and southeastern region of Cameroon. In contrast with past conservation efforts that have focused on hotspots of species richness or endemism, our findings highlight the importance of preserving environmentally heterogeneous landscapes to preserve putatively adaptive variation and ongoing evolutionary processes in the face of climate change.</p>

opencc-zeroDec 2018View 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