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.
376
datasets available to search
ShareScore release 0.9.0
Dataset results
376 results for “Causality”
Processed data from "Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits"
<p>This is the processed data from our manscript "Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits"</p>
Data from: Re-assessing causality between energy consumption and economic growth
The energy consumption-growth nexus has been widely studied in the empirical literature, though results have been inconclusive regarding the direction, or even the existence, of causality. These inconsistent results can be explained by two important limitations of the literature. First, the use of bivariate models, which fail to detect more complex causal relations, or the ad hoc approach to selecting variables in a multivariate framework; and, second, the use of linear causal models, which are unable to capture more complex nonlinear causal relationships. In this paper, we aim to overcome both limitations by analysing the energy consumption-growth nexus using a Flexible Fourier form due to [1] The analysis focuses on the US over the period 1949 to 2014. From our results we can conclude that, where the linear methodology supports the neutrality hypothesis (no causality between energy consumption and growth), the Flexible Fourier form points to the existence of causality from energy consumption to growth. This is contrary to the linear analysis, suggesting that lowering energy consumption would adversely affect US economic growth. Thus, by employing the Flexible Fourier form we find the conclusions can be quite different.
Causal relationship between air pollution and noise pollution exposure and brain cortical structure: a two-sample Mendelian randomization study
Open the record for dataset details and reuse information.
A potential causal relationship between vitamin D metabolism status and height: A Mendelian randomization study
<p><strong>Figure S1</strong>: Results of MR-Radial analyses with instruments of IV-M and IV-S. The effect of instrument which only genome-wide associated with 25(OH)D (IV-S) on height was estimated by MR-Radial analysis in a) mixed population, b) males and c) females. Each point represents the SNP effects of 25(OH)D on height. The blue lines represent inverse-variance-weighted (IVW) estimates of the association between a 1-SD increase in 25(OH)D and height, removing the outliers; The effect of variants which genome-wide associated with 25(OH)D and other phenotypes (IV-M) in d) mixed population, e) males and f) females were also analyzed; <strong>Table S1</strong>: (DOC) Detailed information on the GWASs included in the current study; <strong>Table S2</strong>, (XLSX) Detailed information on all variants associated with the serum levels of 25(OH)D; <strong>Table S3</strong>, (XLSX) Detailed information on all variants associated with vitamin D levels; <strong>Table S4</strong>, (XLSX) Detailed information on all variants associated with the levels of VDBP; <strong>Table S5</strong>, (DOC) Causal directionality test of primary MR analyses; <strong>Table S6</strong>, (DOC) Heterogeneity/pleiotropy test results of primary MR analyses; <strong>Table S7</strong>, (DOC) Genetic effect of 25(OH)D levels on height estimated by the MR-Radial method; <strong>Table S8</strong>, (DOC) Multiple MR analyses for genetic variants of 25(OH)D and height; <strong>Table S9</strong>, (DOC) Genetic effect of 25(OH)D levels on height estimation by subinstrument variants MR analysis.</p>
Causal Effect of the FEMA CRS Program
<p>Dataset produced and used in the <a href="https://arxiv.org/abs/2312.03843">Cano & Hahn (2023)</a>. The data is produced and used by code in the <a href="https://github.com/changhoonhahn/causalCRS/">causalCRS</a> github repo:</p> <ul> <li><strong> zipcode.fema.fsf.acs.rainfall.v2.FSF_REDACTED.csv</strong>: Dataset compiled from the FEMA Flood Insurance Mitigation <br>Administration NFIP Redacted Claims data with additional information on community characteristics from: the First Street Foundation data set, US Census Bureau American Community Survey, and PRISM climate group data sets. In total, the data set has 74,288 entries from 14,729. See <a href="https://arxiv.org/abs/2312.03843">Cano & Hahn (2023)</a> for details. Note: data from First Street Foundation (FSF) has been redacted (all values set to -999). FSF data was used under license for the study and are not publicly available. Please contact privately for unredacted version. <div> </div> </li> <li><strong>typology_*.npy</strong>: Conditional Average Treatment Effect (CATE) and accompanying measurements for the 27 community typologies defined in the paper. <ul> <li><strong>typology_cate.npy</strong>: Measured CATE for the 27 community typologies</li> <li><strong>typology_sig_cate.npy</strong>: Statistical uncertainty on CATE measurements. </li> <li><strong>typology_y_treat.npy</strong>: Claim per policy in USD (outcome) of the community typologies for treated sample </li> <li><strong>typology_y_control.npy</strong>: Claim per policy in USD (outcome) of the community typologies for control sample</li> <li><strong>typology_covar.npy</strong>: Median covariate values for communities that fall within the typology. This is for reference only. </li> </ul> </li> <li><strong>fema_crs.*.npy</strong>: Compiled dataset for training/validation/testing the q_phi(Y|X) of the treated/control samples used in CausalFlow. </li> <li><strong>qphi_control.tar.gz / qphi_treat.tar.gz</strong>: Compressed tar file that contains all the trained ensemble of flows for the control/treated samples used in CausalFlow. </li> <li><strong>qphi_support.v2.log.control.pt / qphi_support.v2.log.treat.pt</strong>: NDEs estimating the distribution of the covariates for the control/treated samples. </li> <li><strong>fema_cid.almost_only_c300.npy</strong>: An array of communities that participated in the CRS but only executed the c300 activity, which corresponds to the outreach effort. This dataset is used to estimate the overall impact of outreach. </li> </ul>
Time series data and codes from: Quantifying social media predictors of violence during the 6 January US Capitol insurrection using Granger causality
Open the record for dataset details and reuse information.
The causal loop diagram model of traceability system rental equipment in oil and gas supporting companies
Open the record for dataset details and reuse information.
A Causal Role for Voltage-gated Cav1.2 Calcium Channels in Mediating 5G FR1 Effects on Sleep-associated Brain Health in Humans
ClinicalTrials.gov study NCT06998368. IPD Sharing: NO. Countries: 1. Publications: 0.
Patient Centered Adaptive Treatment Strategies Using Bayesian Causal Inference
ClinicalTrials.gov study NCT02524340. IPD Sharing: YES. Countries: 1. Publications: 0.
Testing a Causal Model of Cognitive Control Deficits in Posttraumatic Stress Disorder (PTSD)
ClinicalTrials.gov study NCT06016673. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Causal Effects of Old Age Pensions
ClinicalTrials.gov study NCT04029194. IPD Sharing: NO. Countries: 1. Publications: 0.
Links Between Perception of Temporal Order Judgment and Causality in Schizophrenia
ClinicalTrials.gov study NCT03432000. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessing Causality of the Association Between Exercise and Neurocognitive Gains
ClinicalTrials.gov study NCT05511259. IPD Sharing: YES. Countries: 1. Publications: 0.
Jejunal Luminal and Colonic Mucosa-Associated Microbiota in Metabolic Diseases: Methods, Identification and Causalities
ClinicalTrials.gov study NCT05186389. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Causal Evidence for Task Regulation by Anterior Cingulate Cortex
ClinicalTrials.gov study NCT04650425. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Causal Mechanisms of Odor-Guided Behavior in Humans
ClinicalTrials.gov study NCT07099092. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Towards Causal Mapping of Episodic Memory iEEG Networks Via Multi-method Brain Stimulation
ClinicalTrials.gov study NCT07378332. IPD Sharing: NO. Countries: 1. Publications: 0.
Causal Effect of Coenzyme Q10 Nutrition and Cognitive Dysfunction in the Metabolic Storm (Hyperglycemia and Sarcopenia) and Brain-derived Neurotrophic Factor
ClinicalTrials.gov study NCT06040905. IPD Sharing: NO. Countries: 1. Publications: 0.
Diagnosis of RSTS: Identification of the Acetylation Profiles as Epigenetic Markers for Assessing Causality of CREBBP and EP300 Variants.
ClinicalTrials.gov study NCT04122742. IPD Sharing: NO. Countries: 1. Publications: 0.
The Causal Relation of Nasal Nitric Oxide Levels to the Severity of Chronic Rhinosinusitis and Its Inflammatory Phenotype
ClinicalTrials.gov study NCT04171167. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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.