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.
920
datasets available to search
ShareScore release 0.9.0
Dataset results
920 results for “Functional analysis”
Accompanied data files used in the paper "Analysis of chromatin organization and gene expression in T cells identifies functional genes for rheumatoid arthritis"
<p>lists of source file used in the paper "Analysis of chromatin organization and gene expression in T cells identifies functional genes for rheumatoid arthritis" by Jing Yang, Amanda McGovern, Paul Martin, Kate Duffus, Xiangyu Ge, Peyman Zarrineh, Andrew P Morris, Antony Adamson, Peter Fraser, Magnus Rattray & Stephen Eyre. The paper has been accepted by Nature Communications.</p>
Data from: Integrative genomic analysis in African American children with asthma finds 3 novel loci associated with lung function
<p>Bronchodilator drugs are commonly prescribed for treatment and management of obstructive lung function present with diseases such as asthma. Administration of bronchodilator medication can partially or fully restore lung function as measured by pulmonary function tests. The genetics of baseline lung function measures taken prior to bronchodilator medication has been extensively studied, and the genetics of the bronchodilator response itself has received some attention. However, few studies have focused on the genetics of post-bronchodilator lung function. To address this gap, we analyzed lung function phenotypes in 1,103 subjects from the Study of African Americans, Asthma, Genes, and Environment (SAGE), a pediatric asthma case-control cohort, using an integrative genomic analysis approach that combined genotype, locus-specific genetic ancestry, and functional annotation information. We integrated genome-wide association study (GWAS) results with an admixture mapping scan of three pulmonary function tests (FEV1, FVC, and FEV1/FVC) taken before and after albuterol bronchodilator administration on the same subjects, yielding six traits. We identified 18 GWAS loci, and 5 additional loci from admixture mapping, spanning several known and novel lung function candidate genes. Most loci identified via admixture mapping exhibited wide variation in minor allele frequency across genotyped global populations. Functional fine-mapping revealed an enrichment of epigenetic annotations from peripheral blood mononuclear cells, fetal lung tissue, and lung fibroblasts. Our results point to three novel potential genetic drivers of pre- and post-bronchodilator lung function: ADAMTS1, RAD54B, and EGLN3. </p>
Theoretical analysis of superadiabatic combustion for non-stationary filtration combustion by excess enthalpy function
The superadiabatic combustion for non-stationary filtration combustion is analytically studied. The non-dimensional excess enthalpy function (H) equation is theoretically derived based on a one-dimensional, two-temperature model. In contract to the H equation for the stationary filtration combustion, a new term, which takes into account the effect of non-dimensional combustion wave speed, is included in H equation for transient filtration combustion. The governing equations with boundary conditions are solved by commercial software Fluent. The predictions show that the maximum non-dimensional gas and solid temperatures in the flame zone are greater than 3 for equivalence ratio of 0.15. An examination of the four source terms in the H equation indicates that the thermal conductivity ratio (Γs) between the solid and gas phases is the dominative one among the four terms and basically determines H distribution. For lean premixed combustion in porous media, the superadiabatic combustion effect is more pronounced for the lower Γs.
Meta-analysis on pulse disturbances reveals differences in functional and compositional recovery across ecosystems
Most ecosystems are affected by anthropogenic or natural pulse disturbances, which alter the community composition and functioning for a limited period of time. Whether and how quickly communities recover from such pulses is central to our understanding of biodiversity dynamics and ecosystem organization, but also to nature conservation and management. Here, we present a meta-analysis of 508 (semi-)natural field experiments globally distributed across marine, terrestrial and freshwater ecosystems. We found recovery to be significant yet incomplete. At the end of the experiments, disturbed treatments resembled controls again when considering abundance (94%), biomass (82%), and univariate diversity measures (88%). Most disturbed treatments did not further depart from control after the pulse, indicating that few studies showed novel trajectories induced by the pulse. Only multivariate community composition on average showed little recovery: disturbed species composition remained dissimilar to the control throughout the experiment. Still, when experiments showed a higher compositional stability, they tended to also show higher functional stability. Recovery was more complete when systems had high resistance, whereas resilience and resistance were negatively correlated. The overall results were highly consistent across studies, but significant differences between ecosystems and organism groups appeared. Future research on disturbances should aim to understand these differences, but also fill obvious gaps in the empirical assessments for regions (especially the tropics), ecosystems and organisms. In summary, we provide general evidence that (semi-)natural communities can recover from pulse disturbances, but compositional aspects are more vulnerable to long-lasting effects of pulse disturbance than the emergent functions associated to them.
Exploratory Landscape Analysis Feature Values for the 24 Noiseless BBOB Functions
<p>The dataset contains feature values for the so-called "cheap" features available in the R package <em>flacco</em> [https://github.com/kerschke/flacco] on the 24 noiseless BBOB functions of the COCO benchmark environment [https://github.com/numbbo/coco].</p> <p>Precisely, the data set covers <strong>raw data</strong> and <strong>median</strong> feature values for the following</p> <ul> <li><strong>Feature Sets: </strong><em>dispersion, <span class="math-tex">\(y\)</span>-distribution, meta model, information content, nearest better clustering</em> and <em>principal component analysis.</em></li> <li><strong>Functions: </strong>24 noiseless BBOB functions of the COCO benchmark environment [https://github.com/numbbo/coco].</li> <li><strong>Instances: </strong>First five instances of each function.</li> <li><strong>Dimension <span class="math-tex">\(d\)</span>: </strong>6 different dimensions, <span class="math-tex">\(d \in \{5,10,15,20,25,30\}\)</span>.</li> <li><strong>Sample size ("budget") <span class="math-tex">\(b\)</span> for Feature Extraction: </strong>7 different options per dimension, <span class="math-tex">\(b \in \{ 30d, 50d, 100d, 250d, 650d, 800d, 1000d\}\)</span>.</li> <li><strong>Sampling Distribution:</strong> Features are computed using Sobol' low-discrepancy sequence as sampling strategy.</li> <li><strong>Repetitions: </strong>100 independent repetitions are available.</li> </ul> <p>Caused by the heavy computation times, <strong> some data records are missing:</strong></p> <ul> <li>The <em>dispersion</em> feature values are not available for <span class="math-tex">\((d=25,b=1000d), (d=30,b=800d) \)</span> and <span class="math-tex">\((d=30,b=1000d)\)</span>;</li> <li>Instances 2 to 5 are not available for: <ul> <li><span class="math-tex">\(1000 d\)</span> budgets with <span class="math-tex">\(d \geq 10\)</span></li> <li><span class="math-tex">\(800d\)</span> budgets with <span class="math-tex">\(d \geq 15\)</span></li> <li><span class="math-tex">\(650d\)</span> budgets with <span class="math-tex">\(d \geq 20\)</span></li> <li><span class="math-tex">\(250d\)</span> budgets with <span class="math-tex">\(d = 30\)</span></li> </ul> </li> </ul>
Functional multispectral optoacoustic tomography imaging of hepatic steatosis development in mice_image analysis
<p>This dataset contains the HE staining/anti-CD31 staining/ICG fluorescence images and the image quantification data produced for publication "Functional multispectral optoacoustic tomography imaging of hepatic steatosis development in mice"</p>
Identification and analysis of functional associations among natural eukaryotic genome editing components
<p>The contents of the data files for the manuscript "Identification and analysis of functional associations among natural eukaryotic genome editing components" are described below.</p> <p>Dataset 1 - ies_retention.tab<br> = All IES retention scores used in the manuscript</p> <p>Dataset 2 - oes_retention.tab<br> = OES retention estimates.</p> <p>Supplementary Data S1 - ies_retention_score_correlation_stats_all.txt<br> = Statistics for Spearman's correlations for all IESs.</p> <p>Supplementary Data S2 - ies_retention_score_correlation_stats_len_le_35bp.txt<br> = Statistics for Spearman's correlations for IESs <= 35 bp.</p> <p>Supplementary Data S3 - ies_retention_score_correlation_stats_len_ge_500bp.txt<br> = Statistics for Spearman's correlations for IESs >= 500 bp.</p> <p>Supplementary Data S4 - oes_retention_score_correlation_stats_all.txt<br> = Statistics for Spearman's correlations for OESs (>= 300 bp and 3x-70x PGM-KD<br> coverage).</p> <p>Supplementary Data S5 - ies_retention_score_correlation.comparison_stats.txt<br> = Statistics for comparisons of Spearman correlation differences for all IESs.</p> <p>Supplementary Data S6 - oes_retention_score_correlation.comparison_stats.txt<br> = Statistics for comparisons of Spearman correlation differences for all OESs.</p> <p>Supplementary Data S7 - ies_vs_oes_retention_score_correlation.comparisons_stats.txt<br> = Statistics for comparisons of the differences in Spearman correlations<br> between IESs and OESs.</p> <p>Supplementary Data S8 - OES.v1.fa<br> = OES sequences.</p> <p> </p>
Finding functionality: Rasch analysis of the Functionality Appreciation Scale in community-dwelling adults in the US
<div class="abstract-content selected"> <div class="abstract-content selected"> <p><strong class="sub-title">Introduction: </strong>The Functionality Appreciation Scale (FAS) measures an individual's appreciation for the functions their body can perform, regardless of the individual's physical limitations. Prior studies reported on internal consistency, test-retest reliability, convergent validity, and exploratory or confirmatory factor analyses, but Rasch analysis has not yet been performed to evaluate the structural validity of the FAS.</p> <p><strong class="sub-title">Methods: </strong>We recruited community-dwelling adults at the Minnesota State Fair and through contact lists of participants identifying interest in research done in the Brain Body Mind Lab (University of Minnesota). Community-dwelling adults with spinal cord injury (SCI) completed the FAS over Zoom. We analyzed the FAS using Rasch Measurement Theory, which produced the following outputs: item, and person fit, targeting, unidimensionality, person separation reliability (PSR), local item dependence (LID), principal component analysis of residuals (PCAR), and differential item functioning (DIF).</p> <p><strong class="sub-title">Results: </strong>We recruited 567 participants (average age 52.15 ± 17.5 years, 63.84% women), among which 14 adults with SCI. After rescoring 3 items and deleting 1 item, the FAS had good person and item fit (except item 4). The PCAR and subsequent paired <em>t</em>-tests (3.53%) confirmed the unidimensionality of the scale. There was no DIF and only one item pair had LID (item 5-6). PSR was 0.75, reflecting a capacity to differentiate groups of people with high or low functionality appreciation levels. However, there was a significant ceiling effect (28.04%) and the person mean location was 3.06 ± 2.07 logits, indicating the FAS is too easy for community-dwelling adults in the US.</p> <p><strong class="sub-title">Discussion: </strong>The 6-item Rasch-based FAS demonstrated unidimensionality, good item fit (except item 4) and person fit, but the FAS will require more difficult items to be added to improve the targeting of the scale, and better reliability.</p> </div> </div>
MUFFIN : A suite of tools for the analysis of functional sequencing data - Example input data
<p>This repository contains the data required to run the example notebooks and to reproduce the figures from the paper : </p> <div> <div><strong>MUFFIN : A suite of tools for the analysis of functional sequencing data</strong></div> </div> <div><em>Pierre de Langen, Benoit Ballester</em></div> <div>bioRxiv 2023.12.11.570597; doi: <a href="https://doi.org/10.1101/2023.12.11.570597" target="_blank" rel="noopener">https://doi.org/10.1101/2023.12.11.570597</a></div> <div> </div> <div>Source code is located here :</div> <div><a href="https://github.com/pdelangen/Muffin" target="_blank" rel="noopener">https://github.com/pdelangen/Muffin</a></div> <div> </div> <ul> <li><strong>10k_pbmc_gene/ </strong>contains the data for 10k pbmc dataset in standard 10x sparse count table format.</li> <li><strong>genome_annot/</strong> contains gencode v38 and chromosomes for the human (used for gene set enrichment analyses)</li> <li><strong>GO_files/</strong> contains gene set information retrieved from the g:ProfileR website.</li> <li><strong>immune_chip/ </strong>contains the data required to re-run the ChIP-seq analyses, it will require to also launch the dl_data.smk to retrieve the data from ENCODE.</li> <li><strong>tcga_atac/</strong> contains the sample-genomic region ATAC tag count table, as well as the sample metadata and a gene set file of cancer hallmark genes.</li> <li><strong>scATAC/</strong> contains the cell barcode-genomic region ATAC tag count table, as well as the barcode metadata and the 10k pbmc dataset pre-analyzed in h5 AnnData format.</li> </ul> <div> </div>
Data from: Building functional and sustainable pharmacovigilance systems - an analysis of pharmacovigilance development across high-, middle- and low-income countries
<p>Background</p> <p>Pharmacovigilance (PV) is an essential component of health systems. Functional PV systems protect and promote public health by supporting the safe and effective use of medicinal products through the prevention and mitigation of harm. With increased simultaneous introduction of innovative products in high-, middle- and low-income countries, e.g., COVID-19 vaccines, or solely in low- and middle-income countries (LMIC), e.g., malaria vaccines, PV systems in LMIC must be able to detect safety signals and ensure adequate safety surveillance. This research aims to analyse the development of PV systems across high-, middle- and low-income countries and to carve out essential elements for implementing functional and sustainable PV systems in LMIC.</p> <p>Methods</p> <p>A convergent parallel mixed-methods design, consisting of qualitative and quantitative methods was used. Qualitative research consisted of semi-structured interviews. To expand the breadth and range of the study, a quantitative survey was conducted, focusing on the same thematic questions as the semi-structured interviews.</p> <p>Results</p> <p>Twelve key informants from nine countries were interviewed and 52 respondents from 36 countries completed an online questionnaire. Four major themes consisting of 12 categories emerged from the data. Based on these, the following elements essential for building functional and sustainable pharmacovigilance systems in LMIC were identified: understanding the drivers of PV development; adequately resolving core system challenges; implementing an efficient organisational structure and procedures for PV; investing in activities beyond reporting of adverse drug reactions; identifying alternate sources of financing; having a national strategy with a vision and mission for PV; adequately leveraging the health system; and effectively integrating the pharmaceutical sector in the national PV system.</p> <p>Conclusions</p> <p>Findings from this research revealed progress in PV systems in LMIC in the last decade, though significant efforts are still needed to develop these systems to meet global standards. Developing the different areas emerging from this research, which necessitates implementing functional PV structures and processes, adequately leveraging the health system and effectively engaging the pharmaceutical sector, through the mechanisms proposed, would enable a comprehensive progression from basic to stable, functional and thus sustainable PV systems in LMIC.</p>
Why the long teeth? Morphometric analysis suggests different selective pressures on functional occlusal traits in Plio-Pleistocene African suids
<p>Neogene and Pleistocene African suids displayed convergent evolutionary trends in the third molar (M3) morphology, with increasingly elongated and higher crowns through time. While these features can prevent premature loss of masticatory functionality and potentially increase long-term reproductive success, changes in dental occlusal traits such as enamel complexity and thickness can also improve chewing efficiency and increase short-term energetic return. While both long-term and short-term benefits can contribute to the thriving of a lineage, the selective pressures associated with each category can be different. To examine how crown elongation correlates with these functional occlusal traits, we selected M3s of Kolpochoerus, Notochoerus, and Metridiochoerus from Kenya and South Africa, dated between 3.0 Ma and 0.4 Ma. To account for dental wear, we used micro-CT imaging of unworn/slightly worn M3s to simulate wear progression within each tooth. We compared morphometric representatives of occlusal enamel complexity and thickness among the specimens following their respective wear trajectories. We found that M3 elongation correlates with higher occlusal complexity and thinner enamel in Notochoerus and Metridiochoerus lineages through time. In Kolpochoerus, enamel complexity and thickness were generally maintained through time, despite M3 elongation. The differences in M3 morphometric trends suggest that Kolpochoerus likely experienced a different set of selective pressures on functional occlusal traits compared to Notochoerus and Metridiochoerus. The shared evolutionary trends of M3 specialization among Notochoerus and Metridiochoerus suggest similar selective pressures on their chewing efficiency and the possibility of a dietary niche overlap in more xeric habitats.</p>
Event Data used in Seismic anisotropy along the Haida Gwaii margin from receiver function analysis
<p>This CSV file contains metadata for earthquake events used in the study: Seismic anisotropy along the Haida Gwaii margin from receiver function analysis</p> <p>Event start time (UTC), latitude, longitude, depth, magnitude and the seismic station at which the event is recorded are included.</p>
FUNCTIONAL ANALYSIS OF GENES FOR REPRODUCTIVE TRAITS IN PIGS: FROM GWAS TO POST-GWAS
<p>Reproductive traits, such as number of teats, uniformity and litter size, are essential for animal breeding programs due to the importance for the production chain, since they influence the maternal ability of sow and can affect the number of weaned piglets. Our objective was to identify candidate genes associated with reproductive traits in pigs, using GWAS data, from a systematic review combined with sequencing data, to build networks of biological processes and Gene-TFs (transcription factors networks from the identified genes in order to highlight the most candidate genes for litter size, uniformity and number of teats. In the systematic review only peer-reviewed articles were used, with descriptors related to the evaluated traits, and selected based on eligibility criteria. Fourteen papers were selected and classified into groups for functional analysis of gene networks with 2077 candidate genes identified. After combining with the list of genes presenting known structural variants in the 5'UTR and/or coding region, 306 genes remained to be used to build the networks of biological processes and TFs gene networks, highlighting processes associated with litter size (e.g., ionotropic glutamate receptor signaling pathway and blastocyte growth) and teats number (e.g., growth hormone receptor, regulation of the BMP - Bone Morphogenetic Proteins signaling pathway and blood vessel proliferation). Three most candidate genes for litter size trait (<em>GRID2</em>and <em>PALB2</em>) and six most candidate genes (<em>GHR, IFT80,</em> <em>FSTL3, SKOR1, SMURF1</em> and <em>AKT3</em>) for teats number were prioritized. TF associated with candidate genes were also identified for litter size (<em>PALB2</em> and <em>GRID2</em>) and teat number (<em>RIN, LTBP2</em> and <em>COL6A6</em>). Thus, it is suggested that the genes and TFs presented in this study may play an important role in the traits studied, being important for genetic studies and animal breeding. The highlighted genes may bring new considerations to the current knowledge of the genetic architecture of these traits, since the markers associated with these genes can be assigned higher weights in genomic selection and validated in specific populations.</p>
Data, scripts and supplementary information for analysis of the functioning of a three-species microcosm under cadmium pressure
<p>Data files of different experiments conducted with a three-species microcosm + Rscript for infering paremeters from a mechanistic EDO based model describing the functioning of the microcosm and the effect of cadmium + JAGS script of the model + supplementary information</p>
Dataset for paper "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis"
<p>This is the dataset constructed and used in the paper "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis". </p> <p>We release it with its ground truth labels to facilitate further research in binary similarity analysis under function inlining. Besides, we also welcome others to find miss-labeling in this dataset and fix them. We hope our dataset could help researchers conduct their studies and improve the binary similarity analysis techniques.</p> <p>Binaries of dataset-I can also be accessed from https://github.com/SoftSec-KAIST/BinKit. It is named the "normal dataset".</p> <p>Any miss-labeling can be reported at https://github.com/island255/TOSEM2022.</p> <p>Using this dataset, please cite our paper, "1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis".</p>
Raw data: Association and functional analysis of angiotensin-converting enzyme 2 gene genetic variants with the pathogenesis of pre-eclampsia
<p class="MsoNormal"><span>These data were generated to investigate the association and functional analysis of angiotensin-converting enzyme 2 genetic variants with the pathogenesis of pre-eclampsia(PE). This study conducted a case-control study involving 327 PE patients and 591 healthy pregnant women to explore the associations between candidate variants in the ACE2 gene variants and the pathogenesis of PE.This study collected clinical samples and data, and used logistic regression, false positive report rate, multi factor dimension reduction, functional analysis and other analysis methods to process the research data. </span>Potential functional ACE2 gene variants (rs2106809 A>G, rs6632677 G>C, and rs2074192 C>T) were selected and genotyped using kompetitive allele-specific PCR. The strength of the associations between the studied genetic variants and the risk of PE were evaluated using odds ratios (ORs) and corresponding 95% confidence intervals (CIs).<span> Finally,it showed that the rs2106809 A>Gis significantly associated with the risk of PE via individual locus effects and/or complex gene-gene and gene-environment interactions.</span><span> </span></p>
Vehicle Stock Numbers and Survival Functions for On-road Exhaust Emissions Analysis in India: 1993-2018
<p>Guttikunda, S. K. Vehicle Stock Numbers and Survival Functions for On-road Exhaust Emissions Analysis in India: 1993-2018. <br>Final publication online @ <a href="https://www.mdpi.com/2071-1050/16/15/6298">https://www.mdpi.com/2071-1050/16/15/6298</a> <br><br>Preprints 2024, 2024051393. <a href="https://doi.org/10.20944/preprints202405.1393.v1">https://doi.org/10.20944/preprints202405.1393.v1</a></p> <p>Older publication:<br>Re-fueling road transport for better air quality in India<br><a href="https://www.sciencedirect.com/science/article/abs/pii/S0301421514000020">https://www.sciencedirect.com/science/article/abs/pii/S0301421514000020</a></p> <p>An informed emissions inventory can help define the baseline, use that baseline to formulate an effective air quality management plan and track progress or lack thereof, and use the results for research, innovation, and public awareness. In air quality management, at urban and regional levels, road transport remains the cornerstone of residential, commercial, and industrial activities, and the vehicle exhaust emissions maintain the position of one of the key contributing sources.</p> <p>In Indian cities, big and small, vehicle exhaust emissions and dust from vehicle movement on the roads, contribute to as much as 50% of particulate matter pollution in a year. So, having access to a vehicle exhaust emissions inventory that is reliable and replicable is critical for air quality management and one of the key inputs to this exercise is vehicle stock numbers. These numbers are typically obtained from vehicle registration databases, traffic surveys, and other governmental records, and often require time consuming data cleaning protocols before they can used for emissions analysis.</p> <p>This database provides a clean and open-access vehicle stock database, as registered and in-use fleet, for the period covering 1993 and 2018, for all India and states, along with an estimate of age-mix of the vehicles using survival functions.</p> <p>VAPIS Excel players included here are</p> <ul> <li>·A method to convert fleet average speeds and fleet average travel time per day into vehicle km travelled per day.</li> <li>·A method to calculate how many additional buses are required to support odd-even or an equivalent scheme (with and without fuel mix exemptions).</li> <li>·A method to calculate total fuel wasted from idling in the city and to calculate savings from traffic management.</li> <li>·A method to calculate fuel and emission benefits of shifting a share of 2-wheeler and 4-wheeler trips to buses and non-motorized transport.</li> <li>·A method to estimate vehicle exhaust emission factors using emission standards and deterioration rates.</li> <li>·An example set of survival rates based on vehicle age for nine broad vehicle categories to convert registered number of vehicles to in-use number of vehicles.</li> <li>·A method to spatially disaggregate (grid) the total vehicle exhaust emissions using multiple grid-level proxies as weights such as density (km per grid) of various road types, population density, landuse-landcover, and information on commercial and industrial activities.</li> <li>·A library of emission factors for aerosols and gaseous species.</li> </ul>
Multi-Generational Black Hole Population Analysis with an Astrophysically Informed Mass Function
<p>We analyze the population statistics of black holes in the LIGO/Virgo/KAGRA GWTC-3 catalog using a parametric mass function derived from simulations of massive stars experiencing pulsational pair-instability supernovae (PPISN). Our formalism enables us to separate the black hole mass function into sub-populations corresponding to mergers between objects formed via different astrophysical pathways, allowing us to infer the properties of black holes formed from stellar collapse and black holes formed via prior mergers separately. Applying this formalism, we find that this model fits the data better than the powerlaw+peak model with Bayes factor 9.7±0.1. We measure the location of the lower edge of the upper black hole mass gap to be 84.05<sub>-12.88</sub><sup>+17.19</sup> M<sub>☉</sub>, providing evidence that the 35M<sub>☉</sub> Gaussian peak detected in the data using other models is not associated with the PPISN pile-up predicted to precede this gap. Incorporating spin, we find that the normalized spins of stellar remnant black holes are close to zero while those of higher generation black holes tend to larger values. All of these results are in accordance with the predictions of stellar structure theory and black hole merger scenarios. Finally, we combine our mass function with the spectral siren method for measuring the Hubble constant to find H₀=36.19<sub>-10.91</sub><sup>+17.50</sup> km/s/Mpc and discuss potential explanations of this low value. Our results demonstrate how astrophysically-informed mass functions can facilitate the interpretation of gravitational wave catalog data to provide information about black hole formation and cosmology. Future data releases will improve the precision of our measurements.</p>
The Effects of Cycle and Treadmill Desks on Work Performance and Cognitive Function in Sedentary Workers: data repository of a review and meta-analysis.
<p>This repository contains additional files related to the review and meta-analysis. The first dataset contains list of search terms. The second dataset contains list od studies included in the meta-analysis. The third dataset contains study evaluation using PEDro scale tool. The fourth dataset contains two additional forrest plots (Effect of cycle and treadmill desks on typing errors and Effect of cycle and treadmill desks on congruent Eriksen Flanker test).</p>
Supplemental data to Incense Road' from Petra to Gaza: an analysis using GIS and cost functions
<p>Base data and results in GIS format (shapefiles) of the research 'Incense Road’ from Petra to Gaza: an analysis using GIS and cost functions' </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.