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.
13,587
datasets available to search
ShareScore release 0.9.0
Dataset results
13,587 results for “specification”
Stellar specific intensity models used in "Hiding in plain sight: observing planet-starspot crossings with the James Webb Space Telescope"
<p>These stellar specific intensity models were used in the paper "Hiding in plain sight: observing planet-starspot crossings with the James Webb Space Telescope" to simulate starspot contrast spectra. See more details in the README file contained in the folder.</p>
Summary Statistics - Using population-specific add-on polymorphisms to improve genotype imputation in underrepresented populations
<p>Summary Statistics - Using population-specific add-on polymorphisms to improve genotype imputation in underrepresented populations</p> <p>Files contain imputation quality and allele frequency for each imputed variant. A file exists for each method and add-on tag selection setting (Setting 1 or Setting 2)</p>
Integrative analysis across 3,604 GWAS reveals multiple novel cell type-specific regulatory associations
<p>This dataset contains files associated with the manuscript "Integrative analysis across 3,604 GWAS reveals multiple novel cell type-specific regulatory associations". This manuscript presents Functional element Overlap analysis of the Results of GWAS Experiments 2 (FORGE2), a new method for detecting key phenotype-associated tissues, cell types and regulatory elements using GWAS summary statistics. This manuscript also presents FORGE2 results across several thousand GWAS.</p> <p> </p> <p>FORGE2 code (as of 22 November 2021) is contained in the compressed folder FORGE2.zip.</p> <p>FORGE2 code is also contained on GitHub at https://github.com/charlesbreeze/FORGE2</p> <p> </p> <p>The main figures for the FORGE2 paper, covering the main elements of FORGE2 analysis and results, are:</p> <ul> <li>Figure1.forge2.DHS.pdf</li> <li>Figure2.forge2.histone.marks.pdf</li> <li>Figure3.histone.mark.comparison.pdf</li> <li>Figure4.forge2.chr.states.pdf</li> <li>Figure5.forge2.relationship.between.marks.pdf</li> <li>Figure6.example.analysis.figure.pdf</li> </ul> <p> </p> <p>Legends for all figures and tables are included in the file FORGE2.legends.for.figures.and.tables.pdf</p> <p> </p> <p>The supplementary figures for the FORGE2 paper, covering additional elements of FORGE2 analysis and results, are:</p> <ul> <li>FigureS1.pdf</li> <li>FigureS2.erc.pdf</li> <li>FigureS3.encode.pdf</li> <li>FigureS4.blueprint.pdf</li> <li>FigureS5.H3K4me1.pdf</li> <li>FigureS6.H3K4me3.pdf</li> <li>FigureS7.H3K36me3.pdf</li> <li>FigureS8.H3K27me3.pdf</li> <li>FigureS9.H3K9me3.pdf</li> <li>FigureS10.upset.plot.histone.marks.pdf</li> <li>FigureS11.TssA.pdf</li> <li>FigureS12.TssAFlnk.pdf</li> <li>FigureS13.TssBiv.pdf</li> <li>FigureS14.Tx.pdf</li> <li>FigureS15.TxFlnk.pdf</li> <li>FigureS16.TxWk.pdf</li> <li>FigureS17.ZNF-Rpts.pdf</li> <li>FigureS18.BivFlnk.pdf</li> <li>FigureS19.Enh.pdf</li> <li>FigureS20.EnhBiv.pdf</li> <li>FigureS21.EnhG.pdf</li> <li>FigureS22.Het.pdf</li> <li>FigureS23.Quies.pdf</li> <li>FigureS24.ReprPC.pdf</li> <li>FigureS25.ReprPCWk.pdf</li> <li>FigureS26.upset.plot.chromatin.states.pdf</li> </ul> <p> </p> <p>The supplementary tables for the FORGE2 paper, with additional data regarding FORGE2 analysis and results, are:</p> <ul> <li>Table.S1.erc2.DHS.xlsx</li> <li>Table.S2.erc.xlsx</li> <li>Table.S3.encode.xlsx</li> <li>Table.S4.blueprint.xlsx</li> <li>Table.S5.H3K4me1.xlsx</li> <li>Table.S6.H3K4me3.xlsx</li> <li>Table.S7.H3K36me3.xlsx</li> <li>Table.S8.H3K27me3.xlsx</li> <li>Table.S9.H3K9me3.xlsx</li> <li>Table.S10.chrstate15.xlsx</li> <li>Table.S11.MPNs_example.analysis.forge2.h3.all.xlsx</li> <li>Table.S12.MPNs_example.analysis.forge2.dhs.xlsx</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Species specific plant-mediated effects between herbivores converge at high damage intensity
<p>Plants are often exposed to multiple herbivores and densities of these attackers (or corresponding damage intensities) generally fluctuate greatly in the field. Plant-mediated interactions vary among herbivore species and with changing feeding intensity, but little is known about how herbivore identity and density interact to determine plant responses and herbivore fitness. Here, we investigated this question using <i>Triadica sebifera </i>(tallow) and its two major specialist insect herbivores, <i>Bikasha collaris</i> (flea beetle) and <i>Heterapoderopsis bicallosicollis</i> (weevil). By manipulating densities of leaf-feeding adults of these two insects, we tested how variations in the intensity of leaf damage caused by flea beetle or weevil adults affected the performance of root-feeding flea beetle larvae and evaluated the potential of changed traits of tallow root as predictions of flea beetle larval performance. We found that weevil adults consistently decreased the survival of flea beetle larvae with increasing leaf damage intensities. In contrast, conspecific flea beetle adults increased their larval survival at low damage then decreased larval survival at high damage, resulting in a unimodal pattern. Chemical analyses showed that increasing leaf damage from weevil adults linearly decreased root carbohydrates and increased root tannin, whereas flea beetle adults had opposite effects as weevil adults at low damage and similar effects as them at high damage. Furthermore, across all feeding treatments, flea beetle larval survival was positively correlated with concentrations of carbohydrates and negatively correlated with concentration of tannin, suggesting that root primary and secondary metabolism might underlie observed effects on flea beetle larvae. Our study demonstrates that herbivore identity and density interact to determine systemic plant responses and plant-mediated effects on herbivores. In particular, effects are species specific at low densities, but converge at high densities. These findings emphasize the importance of considering herbivore identity and density simultaneously when identifying factors driving plant-mediated interactions between herbivores, advancing our understanding of the structure and composition of herbivore communities and terrestrial food-webs.</p>
Acute sleep restriction affects sport-specific but not athletic performance in junior tennis players
<p><strong>Purpose: </strong>Little is known about the effect of sleep restriction (SR) on different domains of athletes' physical performance. Therefore, the aim of this randomized, counterbalanced, and crossover study was to evaluate the effect of acute SR on sport-specific technical and athletic performance in male junior tennis players.</p> <p><strong>Methods: </strong>Tennis players (N = 12; age 15.4 ± 2.6 y) were randomly allocated to either a sleep-restriction condition (SR, n = 6), where they experienced acute sleep restriction the night before the test session (≤5 h of sleep), or to a control condition (CON, n = 6), where they followed their habitual sleep-wake routines. Testing procedures included 20 left and right serves, 15 forehand and backhand crosscourt shots, and a repeated-sprint-ability test (RSA). The accuracy of serves and shots was considered for further analysis. One week later, players of SR joined CON, and players of CON experienced SR, and all test procedures were repeated.</p> <p><strong>Results: </strong>Significant decrease in the accuracy of right (-17.5%, P = .010, effect size [ES] = 1.0, moderate) and left serve (-14.1%, P = .014, ES = 1.2, large), crosscourt backhand (-23.9%, P = .003, ES ≥ 2.0, very large), and forehand shot (-15.6%, P = .014, ES = 1.1, moderate) were observed in SR compared to CON, while RSA was similar in both conditions.</p> <p><strong>Conclusion: </strong>Coaches and athletes at the team and individual level should be aware that 1 night of SR affects sport-specific but not athletic performance in tennis players.</p>
Single-Cell Sequencing Reveals Lineage-Specific Dynamic Genetic Regulation of Gene Expression During Human Cardiomyocyte Differentiation - Supplementary Data
<p>Genotype data for 19 cell lines from the Yoruba HapMap population that were used in this study, and summary statistics from QTL calling (see README.md in summary.zip).</p>
Figure 1 from: Ivanova S, Petkova V (2022) Specificity of clinical trials of some osteoporosis medicines. Pharmacia 69(1): 99-106. https://doi.org/10.3897/pharmacia.69.e79258
Figure 1 Chemical structures for Alendronbate, Ibandronate, Risedronate and Zoledronate.
Strain specific Genome scale metabolic models for 1011 Saccharomyces cerevisiae
<p>This is generated strain specific genome scale metabolic models for 1011 S. cerevisiae strains. This is linked with paper: Lu, H. et al. <em>A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism.</em> Nature Communications 10, 3586 (2019). <a href="https://doi.org/10.1038/s41467-019-11581-3">doi:10.1038/s41467-019-11581-3</a></p> <p> </p>
Data from: Inter- and intra-specific genomic divergence in Drosophila montana shows evidence for cold adaptation
[No abstract entered]
Acyl-CoA dehydrogenases involved in fatty acid degradation of Pseudomonas aeruginosa: substrate specificity
<p>MD trajectories raw data </p>
Supplemental Data Files for Advances in Organ-Specific Dosimetry Models for Radionuclides and Radiopharmaceuticals at Their Macro And Micro Scales
<p>Data sets for Aims 1 and 2 of my dissertation. Both aims contain three excel spreadsheets for a total of 6 files with the computed specific absorbed fractions and S-values.</p>
[PART 3] How to fit a round peg in a square hole: Pseudomonas aeruginosa acyl-CoA dehydrogenases and structure-guided inversion of their substrate specificity.
<p>Metadynamics data for the PaFADE1</p> <p>1320- PaFadE1 8PNS noCoA +FAD + G129M A295E - metadynamics, 10A3 OPLS4 T3P<br>1321- PaFadE1 8PNS noCoA +FAD WT - metadynamics, 10A3 OPLS4 T3P</p>
[PART 2] How to fit a round peg in a square hole: Pseudomonas aeruginosa acyl-CoA dehydrogenases and structure-guided inversion of their substrate specificity.
<p>Classical unbiased molecular dynamics dataset generated with Maestro 2023.4</p> <p>1320- PaFadE1 8PNS noCoA +FAD + G129M A295E, 10A3 OPLS4 T3P<br>1321- PaFadE1 8PNS noCoA +FAD WT, 10A3 OPLS4 T3P</p>
ROS-Specific Huntingtin Interactions: Huntingtin pulldown of PARylated proteins
<p>Huntingtin co-immunoprecipitation of proteins modified by poly ADP ribose.</p>
ROS-Specific Huntingtin Interactions: Testing PAR binding of huntingtin purified with nickel or heparin
<p>Attempts to test PAR binding of huntingtin purified with nickel or heparin.</p>
UNIVERSAL AND NATIONAL SPECIFICITY OF ANTHROPOCENTRIC PROVERBS
<p><span><span> </span><em><span>deals with universal and national peculiarities of the proverbs in languages of different systems as forms of paremeological cliché.</span></em></span></p>
Seasonal changes in coral thermal threshold suggest species-specific strategies for coping with temperature variations
<p>Data and R code for the paper:</p> <p>“Seasonal changes in coral thermal threshold suggest species-specific strategies for coping with temperature variations” </p> <p>Composed of three data sets:</p> <p>-Dataset1.csv</p> <p>-Dataset2.csv</p> <p>-GenoCoeffs.csv</p> <p> </p> <p>Thermal response of Acropora spp. and Pocillopora verrucosa using photosynthetic efficiency (Fv/Fm) values measured in situ</p> <p>————————————————————————————————————————————————</p> <p>CSV contains data measured in situ in Al Fahal reef used to create Figure 1. It includes 7 columns</p> <p>- ID_Experimen: Id assigned to each field experiment included in the study. </p> <p>-Species: ID of the two species included in the study Acropora spp. and P. verrucosa</p> <p>- Replicate: Biological replicates associated with each experiment and sampling time.</p> <p>- Fv.Fm: Photosynthetic efficiency measured in situ using diving PAM.</p> <p>-SamplingTime: ID of the sampling time associated to each experiment.</p> <p>-Date: Date of the field experiment</p> <p>-EnvT: In situ seawater temperature (daily average) the date of the field experiment.</p> <p> </p> <p>Performance data collected during the CBASS experiment for Acropora spp. and Pocillopora verrucosa </p> <p>————————————————————————————————————————————————</p> <p>CSV contains data measured during the CBASS experiment in tanks used to create Figures 2 and 3 and Table 1.</p> <p>-ID_Experiment: ID assigned to each field experiment included in the study. </p> <p>-Species: ID of the two species included in the study Acropora spp. and P. verrucosa</p> <p>-Sample Name: ID of each coral fragment placed in the tank</p> <p>-Site: ID of the colonies treatment if any. All coral colonies were non-treated</p> <p>-Tank: Tank ID</p> <p>-Temp: Assay temperature of each tank</p> <p>-Geno: Biological replicate</p> <p>-PAM: Fv/Fm values measured after the experiment in the tanks using a diving PAM</p> <p>-SamplingTime: ID of the sampling time associated with each experiment.</p> <p>-Date: Date of the experiment</p> <p>-EnvT: In situ seawater temperature (daily average) the date of the field experiment.</p> <p> </p> <p>Dataset combining thermal thresholds and environmental data to fit lmer models.</p> <p>———————————————————————————————————————————————</p> <p>CSV contains data to fit LMER models using experimentally derived ED50 thermal thresholds and in situ data.</p> <p>-ED50: Thermal thresholds estimated by fitting DRC</p> <p>-Site: ID of the experiment and sampling time</p> <p>-Replicate: Biological replicates</p> <p>-EnvT: In situ seawater temperature (daily average) the date of the field experiment.</p> <p>-FvFm_Field: Photosynthetic efficiency measured in situ using diving PAM.</p> <p>-Species: ID of the two species included in the study Acropora spp. and P. verrucosa</p>
Data from: Site-specific group selection drives locally adapted group compositions
Group selection may be defined as selection caused by the differential extinction or proliferation of groups. The socially polymorphic spider Anelosimus studiosus exhibits a behavioral polymorphism where females exhibit either a "docile" or "aggressive" behavioral phenotype. Natural colonies are composed of a mixture of related docile and aggressive individuals, and populations differ in colonies' characteristic docile:aggressive ratios. Using experimentally-constructed colonies of known composition, we demonstrate that population-level divergence in docile:aggressive ratios is driven by site-specific selection at the group level: certain ratios yield high survivorship at some sites but not others. Our data also suggest that colonies responded to the risk of extinction: perturbed colonies tended to adjust their composition over 2 generations to match the ratio characteristic of their native site, thus promoting their long-term survival in their natal habitat. However, colonies of displaced individuals continued to shift their compositions towards mixtures that would have promoted their survival, had they remained at their home sites, regardless of their contemporary environment. Thus, the regulatory mechanisms that colonies use to adjust their composition appear to be locally-adapted. Our data provide the best experimental evidence of group selection driving collective traits in wild populations.
Effect of chronotype on motor skills specific to soccer in adolescent players
<p>ABSTRACT</p> <p>Circadian rhythms influence daily behavior, psychological and physiological functions, as well as physical performance. Three chronotypes are distinguished according to the preferences people typically display for activity at certain times of day: Morning, Neither, and Evening types (M-, N- and E-types). The chronotype changes with age: eveningness tends to be stronger in youth and morn- ingness in older age. The progressive shift toward eveningness during adolescence creates misalign- ment with morning society schedules and can lead to a deterioration in intellectual and physical performance. Soccer is one of the world’s most popular sports practiced by adolescents and soccer workouts are usually held after school in the afternoon or evening. Performance in soccer is related to a host of factors, including physiological variables and motor skills that have a circadian variation. The aim of this study was to determine the effect of chronotype on motor skills specific to soccer, specifically whether agility, aerobic endurance, and explosive power differ among the three chron- otypes in relation to the time of day. For this study 141 adolescent soccer players filled in the Morningness-Eveningness Questionnaire (MEQ) for the assessment of chronotype. A subsample of 75 subjects, subdivided in M-types (n= 25), E-types (n= 25), and N-types (n= 25), performed three tests (Sargent Jump Test - SJT, Illinois Agility Test - IAT, and 6-Minutes Run Test - 6MRT) at a morning and an evening training session (9:00 am and 6:00 pm). Mixed ANOVA was used to test the interactions between chronotypes, physical performance, and time. On all tests, better performance during the morning than the evening session was observed for the M-types (p< .05), whereas the E-types performed better in the evening than in the morning session (p< .05), and no differences in test performance were detected for the N-types. These findings underline the importance of a correct chronobiological approach to sports training. Scheduling training sessions according to an athlete’s circadian preferences could be a valid strategy to enhance performance.</p>
Transcriptional analysis of peripheral memory T cells reveals Parkinson's disease-specific gene signatures--Cell Surface FCS
<p>FCS files corresponding to the cell surface experiment described in "Transcriptional analysis of peripheral memory T cells reveals Parkinson’s disease-specific gene signatures"</p> <p> </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.