Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,243
datasets available to search
ShareScore release 0.7.1
Dataset results
1,243 results for “Statistics”
Raw data for: Sex and Power: Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications
<p>This is a dataset obtained from the EBI in August 2018. The full code, analyses and processed data that are associated with the paper that is based on this large dataset can be found here: <a href="https://github.com/itchyshin/mice_sex_diff">https://github.com/itchyshin/mice_sex_diff</a></p> <p> </p>
Summary statistics data for "Genetic Analyses Support the Contribution of mRNA N6-methyladenosine (m6A) Modification to Human Diseases Heritability"
<p>We included the summary statistics data associated with our manuscript "<strong>Genetic Analyses Support the Contribution of mRNA <em>N</em><sup>6</sup>-methyladenosine (m<sup>6</sup>A) Modification to Human Diseases Heritability". </strong></p> <p>We also included the newly imputed genotype data for the 60 YRI individuals involved in our study, the joint m<sup>6</sup>A peaks tested (locations of the molecular phetnotype in BED12 format) and normalized log odds ratio (enrichment) of these joint peaks (molecular phenotype data). </p>
Online Supplemental Materials for: "Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin Destination Employment Statistics in OnTheMap"
<p>This archive contains supplementary materials for the published manuscript.</p> <p>We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginning-of-quarter employment, full-quarter employment, average monthly earnings of full-quarter employees, and total quarterly payroll. Beginning-of-quarter employment is also the main tabulation variable in the LEHD Origin-Destination Employment Statistics (LODES) workplace reports as displayed in OnTheMap (OTM), including OnTheMap for Emergency Management. We account for errors due to coverage; record-level non-response; edit and imputation of item missing data; and statistical disclosure limitation. The analysis reveals that the five publication variables under study are estimated very accurately for tabulations involving at least 10 jobs. Tabulations involving three to nine jobs are a transition zone, where cells may be fit for use with caution. Tabulations involving one or two jobs, which are generally suppressed on fitness-for-use criteria in the QWI and synthesized in LODES, have substantial total variability but can still be used to estimate statistics for untabulated aggregates as long as the job count in the aggregate is more than 10.</p>
Data and statistical analysis for: Bacterial nanotubes are a manifestation of cell death
<p>Contains all data and code to reproduce the statistical analysis in the Supplementary file 2 for the paper "Bacterial nanotubes are a manifestation of cell death" to be published in Nature Communications.</p> <p><strong>Contents:</strong></p> <ul> <li>statistical_analysis.Rmd is the main document written in R Markdown</li> <li>statistical_analysis.html is a compiled version of statistical_analysis.Rmd showing all the computed results.</li> <li>The Source data.xls file contains raw data used for the analysis - the sheet names indiciate the figure they refer to. See the main file for code that can read the data.</li> </ul> <p>The code can also be accessed at <a href="https://github.com/cas-bioinf/nanotubes-death">https://github.com/cas-bioinf/nanotubes-death</a></p>
Full summary statistics of mixQTL for GTEx v8 Small_Intestine_Terminal_Ileum
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Kidney Cortex
<p>The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.</p>
Full summary statistics of mixQTL for GTEx v8 Kidney_Cortex
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Heart_Left_Ventricle
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Brain_Putamen_basal_ganglia
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Brain_Frontal_Cortex_BA9
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Brain_Cerebellum
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Brain_Caudate_basal_ganglia
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Brain_Substantia_nigra
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Cells_Cultured_fibroblasts
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Brain_Hypothalamus
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Colon_Transverse
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Artery_Tibial
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Adipose_Subcutaneous
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Esophagus_Mucosa
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
Full summary statistics of mixQTL for GTEx v8 Brain_Amygdala
The mixQTL method is described in paper doi.org/10.1101/2020.04.22.050666. Please cite the original paper if using the data.
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.