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ShareScore release 0.9.0
Dataset results
709 results for “Coverage”
Gridded Altimeter Fields with Enhanced Coastal Coverage Daily
The Gridded Altimeter Fields with Enhanced Coastal Coverage data product contains Sea Surface Height Anomalies (SSHA or SLA) and zonal and meridional geostrophic velocities for the US west coast encompassing 35.25 deg-48.5 deg N latitude and 227.75 deg-248.5 deg E longitude. This annually updated data product extends from October 14, 1992 through January 19, 2011. SSHA and current velocities are derived from the AVISO quarter degree DT UPD MSLA version 3.0 grids, 0.75 deg and greater away from the coast. Values within 0.75 deg of the coast are derived from tide gauge observations and interpolated out to the altimeter filled region. Details on how these data are derived can be found in: Saraceno, M., P. T. Strub, and P. M. Kosro (2008), Estimates of sea surface height and near-surface alongshore coastal currents from combinations of altimeters and tide gauges, J. Geophys. Res., 113, C11013, doi:10.1029/2008JC004756.
Chromosomal microarray data for validation of copy-number variants detection from a low-coverage whole-genome sequencing approach in clinical samples
GEO Series GSE73191. Homo sapiens. 72 samples. Type: Genome variation profiling by array; Genome variation profiling by SNP array; SNP genotyping by SNP array.
Ensembles of genome-coverage single-cell histone modifications reveal epigenetic lineages during mouse preimplantation development
GEO Series GSE235109. Mus musculus. 47 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Somatosensory Neuron Types Identified by High-Coverage Single-Cell RNA-Sequencing and Functional Heterogeneity
GEO Series GSE63576. Mus musculus. 209 samples. Type: Expression profiling by high throughput sequencing.
Acute deletion of TET enzymes results in aneuploidy in mouse embryonic stem cells through decreased expression of Khdc3 (Whole Genome Sequencing [Low Coverage])
GEO Series GSE214402. Mus musculus. 11 samples. Type: Other.
Ribosomal coverage with codon resulation in response to RPL12 siRNA treatment vs. no treatment
GEO Series GSE104329. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
CLEAR: Coverage-based Limiting-cell Experiment Analysis for RNA-seq (mouse)
GEO Series GSE115033. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Targeted experimentation to increase functional coverage in omics dataset
GEO Series GSE73672. Escherichia coli BW25113. 87 samples. Type: Expression profiling by high throughput sequencing.
Deep sequencing analyzed the coverage of sgRNA in haploid stem cells.
GEO Series GSE115015. Mus musculus. 2 samples. Type: Other.
Ensembles of genome-coverage single-cell histone modifications reveal epigenetic lineages during mouse preimplantation development II
GEO Series GSE259393. Mus musculus. 27 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
High-coverage TAC-seq expression
GEO Series GSE109584. Homo sapiens. 18 samples. Type: Other.
BAMscale: quantification of DNA sequencing peaks and generation of scaled coverage tracks
GEO Series GSE131417. Homo sapiens; Mus musculus. 3 samples. Type: Other; Third-party reanalysis.
Discovery of novel hypermethylated gene loci in prostate cancer using genome wide coverage CpG island microarrays
GEO Series GSE15298. Homo sapiens. 20 samples. Type: Methylation profiling by genome tiling array.
Targeting the treponemal microbiome of digital dermatitis infections by deep coverage pyrosequencing
GEO Series GSE42426. Bos taurus. 36 samples. Type: Genome variation profiling by high throughput sequencing.
Copy number analysis by low coverage whole genome sequencing using ultra low-input DNA from formalin-fixed paraffin embedded tumour tissue
GEO Series GSE85035. Homo sapiens. 6 samples. Type: Genome variation profiling by SNP array.
CLEAR: Coverage-based Limiting-cell Experiment Analysis for RNA-seq (human)
GEO Series GSE115032. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Low-coverage TAC-seq expression in endometrium
GEO Series GSE108841. Homo sapiens. 16 samples. Type: Other.
Data from: Global yellow fever vaccination coverage from 1970 to 2016: an adjusted retrospective analysis
Background: Substantial outbreaks of yellow fever in Angola and Brazil in the past 2 years, combined with global shortages in vaccine stockpiles, highlight a pressing need to assess present control strategies. The aims of this study were to estimate global yellow fever vaccination coverage from 1970 through to 2016 at high spatial resolution and to calculate the number of individuals still requiring vaccination to reach population coverage thresholds for outbreak prevention. Methods: For this adjusted retrospective analysis, we compiled data from a range of sources (eg, WHO reports and health-service-provider registeries) reporting on yellow fever vaccination activities between May 1, 1939, and Oct 29, 2016. To account for uncertainty in how vaccine campaigns were targeted, we calculated three population coverage values to encompass alternative scenarios. We combined these data with demographic information and tracked vaccination coverage through time to estimate the proportion of the population who had ever received a yellow fever vaccine for each second level administrative division across countries at risk of yellow fever virus transmission from 1970 to 2016. Findings: Overall, substantial increases in vaccine coverage have occurred since 1970, but notable gaps still exist in contemporary coverage within yellow fever risk zones. We estimate that between 393·7 million and 472·9 million people still require vaccination in areas at risk of yellow fever virus transmission to achieve the 80% population coverage threshold recommended by WHO; this represents between 43% and 52% of the population within yellow fever risk zones, compared with between 66% and 76% of the population who would have required vaccination in 1970. Interpretation: Our results highlight important gaps in yellow fever vaccination coverage, can contribute to improved quantification of outbreak risk, and help to guide planning of future vaccination efforts and emergency stockpiling.
Investigating news coverage and circulation over time in a quantitative manner: the TARO framework (auxiliary material)
<p>Dataset with snapshots of published news in Spiegel, France24, ANSA, ilPost, BBC, ABC (11,12,13,14,15 of March 2023).<br>Used for the analyses presented in case study 1 and 2.</p>
Determinants of vaccine coverage and timeliness in a northern Pakistani village
<p>Data to support analysis of the determinants of vaccine coverage and timeliness in Oshikhandass, a village in northern Pakistan</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.