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4,694 results for “data analysis”
Factors hampering and facilitating RRI: finds from the analysis of data from four H2020 SwafS CSAs
<p>List of finds regarding factors that facilitate or hamper RRI-oriented change derived from the analysis of data from four relevant H2020 SwafS CSAs, namely GRACE, FIT4RRI, Starbios2, and Resbios</p>
Data and analysis for the manuscript VISUAL NOISE EFFECT ON READING IN THREE DEVELOPMENTAL DISORDERS: ASD, ADHD, AND SLD
<p>These are raw data and their analysis for the manuscript VISUAL NOISE EFFECT ON READING IN THREE DEVELOPMENTAL DISORDERS: ASD, ADHD, AND SLD</p>
Raw data movie-file for the analysis of dynamics in the location of the large sphere under crowding condition with hard and soft boundaries.
<p>The raw data movie-file indicate that time-dependent change in the location of large sphere under differrent degrees of crowding of numbers small spheres with hard and soft boundaries.</p>
Study data and analysis code
<p>Study data and R code, first release v1.0</p> <p>This dataset supports the following study:</p> <p>Perry, KI, CB Riley, F Fan, J Radl, DA Herms, and MM Gardiner. The value of hybrid and nonnative ash for the conservation of ash specialists is limited following late stages of emerald ash borer invasion, Agricultural and Forest Entomology, doi.org/10.1111/afe.12499</p> <p>Creative Commons Attribution Share-Alike (cc-by-sa)</p>
GNSS Data for Tonga 2022 Eruption Analysis
<p>RAR archive of GNSS data used for studying the 2022 Tonga Volcanic Eruption in the study "Global propagation of ionospheric disturbances assocaited with the 2022 Tonga Volcanic Eruption"</p>
Data for "Rotational grazing and multispecies herbal leys increase productivity in temperate pastoral systems – a meta-analysis"
<p>Supplementary files for systematic review and meta-analysis: "Rotational grazing and multispecies herbal leys increase productivity in temperate pastoral systems – a meta-analysis"</p>
Data for SWATH-based Quantitative Proteomic Analysis of Morus alba L. Leaf under Ultraviolet-B radiation and Dark Treatment
<p><em>Morus alba (M. alba) </em>have been used in traditional Chinese medicine. Since, previous studies indicated that the accumulation of several secondary metabolites was significantly induced by UV-B radiation with dark treatment. To investigate the response of <em>Morus alba</em> leaf to UV-B radiation and UV-B radiation followed by dark incubation (UVD), SWATH-based quantitative proteomic analysis was performed on <em>Morus alba</em> leaf of control, UV-B radiation and UV-B radiation then dark incubation. A total of 716 proteins were identified and quantified.</p>
Data from: Genetic analysis of life-history constraint and evolution in a wild ungulate population
Trade-offs among life-history traits are central to evolutionary theory. In quantitative genetic terms, trade-offs may be manifested as negative genetic covariances relative to the direction of selection on phenotypic traits. Although the expression and selection of ecologically important phenotypic variation are fundamentally multivariate phenomena, the in situ quantification of genetic covariances is challenging. Even for life-history traits, where well-developed theory exists with which to relate phenotypic variation to fitness variation, little evidence exists from in situ studies that negative genetic covariances are an important aspect of the genetic architecture of life-history traits. In fact, the majority of reported estimates of genetic covariances among life-history traits are positive. Here we apply theory of the genetics and selection of life histories in organisms with complex life cycles to provide a framework for quantifying the contribution of multivariate genetically based relationships among traits to evolutionary constraint. We use a Bayesian framework to link pedigree-based inference of the genetic basis of variation in life-history traits to evolutionary demography theory regarding how life histories are selected. Our results suggest that genetic covariances may be acting to constrain the evolution of female life-history traits in a wild population of red deer Cervus elaphus: genetic covariances are estimated to reduce the rate of adaptation by about 40%, relative to predicted evolutionary change in the absence of genetic covariances. Furthermore, multivariate phenotypic (rather than genetic) relationships among female life-history traits do not reveal this constraint.
Data Set of Thesis on Architectural Data Flow Analysis for Detecting Violations of Confidentiality Requirements
<p>The data set contains the results of the validation, the docker image for conducting the validation and the source code of all developed projects to conduct the validation.</p>
Supplementary Figure 1: The road to FAIR genomes: a gap analysis of NGS data generation and sharing in the Netherlands
<p><em>Supplementary Figure 1: a flow chart conceptualizing the gap analysis. A generic NGS process diagram was created, based on a commonly used care workflow (Step 1). Next, a questionnaire about the inventory of (meta)data standards and retrieval of gaps was drafted (Step 2), which together with the process diagram was used as a basis for the subsequent interviews (Step 3). In parallel with the first three steps, a short literature review was performed (Step 4). The interviews were processed and current gaps were identified, anonymized and classified (Step 5). Finally, the results are shared with the community through presentations, publications and suggestions for next steps for addressing the identified gaps.</em></p>
Data for "Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection"
<p>Once decompressed, the file contains a folder which contains:</p> <ul> <li>The files "s100_Nth.fasta" (where "N" is 5, 6, 7 or 8), which are the output of the SELEX experiment described in the paper with DOI: <a href="https://doi.org/10.1002/cbic.201900265">10.1002/cbic.201900265</a>. They are standard fasta files, and the descriptor of each sequence is of the form "seqX-Y", where "X" is an increasing label, and "Y" is the number of times "seqX" has been obtained (number of counts of "seqX").</li> <li>The file "Aptamer_Exp_Results.csv", which contains the sequences tested experimentally for the paper "Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection" (preprint available at https://doi.org/10.1101/2022.03.12.484094), with the following experimental results for each sequence: (i) whether the sequence was able to bind thrombin ('B' for binders, 'NB' for non-binders); (ii) the thrombin exosite used for binding ('I' for exosite I, 'II' for exosite II, 'n/a' for sequences not tested).</li> </ul> <p>Examples of usage of the data are available at https://github.com/adigioacchino/RBMsForAptamers.</p>
Walking stride modulations in Drosophila HS cells, data and MATLAB analysis codes
<p>Data and MATLAB analysis codes for an article titled: Walking strides direct rapid and flexible recruitment of visual circuits for course control in <em>Drosophila.</em></p>
Data Set and Replication Package of Paper on Handling Environmental Uncertainty in Design Time Access Control Analysis
<p>Data set and replication package for Paper "Handling Environmental Uncertainty in Design Time Access Control Analysis".</p> <p>The data set contains an overview of used case studies, with illustrations and descriptions.</p> <p>The replication package contains the implemented application as well as model instances of every case study used for the evaluation.</p>
Data from: Identifying conservation priorities for gorgonian forests in Italian coastal waters with multiple methods including citizen science and social media content analysis
<div> <div> <div> <div> <p>Gorgonian forests are among the most complex of subtidal habitats in the Mediterranean Sea, supporting high biodiversity and providing diverse ecosystem services. Despite their iconic status, the geographical distribution and condition of gorgonian species is poorly known. Using multiple online data sources, our primary aims were to compile, map and analyse observations of gorgonian forests in Italian coastal waters to assess the biological complexity of gorgonian forests; evaluate impacts and vulnerable species, and identify areas of special interest inside and outside of existing MPAs to help prioritise conservation strategies and actions.</p> </div> </div> </div> </div>
Supplementary data for "Analysis of Non-21α-hydroxylase-deficiency Primary Adrenal Insufficiency in Childhood: Data from 113 Chinese Patients"
<p>Supplementary data for "Analysis of Non-21α-hydroxylase-deficiency Primary Adrenal Insufficiency in Childhood: Data from 113 Chinese Patients"</p> <p><strong>Supplementary Table 1 </strong>Causes of Primary Adrenal Insufficiency in Children</p> <p><strong>Supplementary Table 2</strong> Mutations Detected in Subjects with non-21-OHD CAH Inherited Causes of Childhood-Onset Primary Adrenal Insufficiency</p> <p><strong>Supplementary Table 3 </strong>Clinical findings in Subjects with Non-21-OHD Inherited Causes of Childhood-Onset Primary Adrenal Insufficiency</p> <p><strong>Supplementary Table 4 </strong>Population Frequencies of Common Variants in <em>STAR</em> or <em>MC2R</em></p>
FIGURE. Phylogenetic tree derived from Bayesian analysis, based on nrLSU data. Posterior probability (PP> 0.95) values from the Bayesian analysis are added at the nodes. The scale bar represents the number of nucleotide changes per site. (T) indicates the type specimen for this species. The new species are in bold. in Four new species of Entoloma (Entolomataceae, Agaricomycetes) subgenera Cyanula and Claudopus from Vietnam and their phylogenetic position
FIGURE. Phylogenetic tree derived from Bayesian analysis, based on nrLSU data. Posterior probability (PP> 0.95) values from the Bayesian analysis are added at the nodes. The scale bar represents the number of nucleotide changes per site. (T) indicates the type specimen for this species. The new species are in bold.
Data for "Insight into Ideal Shear Strength of Ni-based Dilute Alloys using First-Principles Calculations and Correlational Analysis"
<p><strong>Summary: </strong></p> <p>This dataset contains inputs, outputs, and analysis needed to replicate the results discussed in a published article. First-principles results were obtained through VASP and an external optimizer while the crystal plasticity finite element calculations were carried out by Abaqus and an existing subroutine. See the manuscript for more details.</p> <p><strong>Folders: </strong></p> <ul> <li>NiX_data-summary ("analysis" archive): a summary of the output of the DFT calculations, including plaintext and numpy binary versions of the elastic constants and ideal shear stresses.</li> <li>NiX_analysis ("analysis" archive): the data analysis scripts needed to reproduce correlation results (a separate calculation in Matlab) and plot figures.</li> <li>NiX_data-detailed ("data" archive): input files for three pre-strain conditions (0.00, 0.15, and 0.30) and all alloying elements, with common files being separated to a top-level folder of their own to limit repetition.</li> </ul> <p><strong>Article: </strong></p> <p>Published: <a href="https://doi.org/10.1016/j.commatsci.2022.111564">10.1016/j.commatsci.2022.111564</a></p> <p>@article{shimanek2022NiX, title = {Insight into ideal shear strength of Ni-based dilute alloys using first-principles calculations and correlational analysis}, journal = {Computational Materials Science}, volume = {212}, pages = {111564}, year = {2022}, issn = {0927-0256}, doi = {https://doi.org/10.1016/j.commatsci.2022.111564}, author = {John D. Shimanek and Shun-Li Shang and Allison M. Beese and Zi-Kui Liu}}</p> <p>Preprint: <a href="https://doi.org/10.48550/arXiv.2108.06412">10.48550/arXiv.2108.06412</a></p>
Supplementary data for Provenance Analysis of Early Neoproterozoic Metasedimentary Rocks in Western Central Tianshan Block and Paleogeographical Reconstruction
<p>Supplementary data for Provenance Analysis of Early Neoproterozoic Metasedimentary Rocks in Western Central Tianshan Block and Paleogeographical Reconstruction.</p>
Historical data of flash flood and trend analysis information for Uttarakhand, India
<p>Historical data is always useful in interpreting any hazard-affected location. In this article historical data were gathered from various literature reviews, journals, newspapers, reports, and other sources to generate a flash flood map for Uttarakhand state, India. Between 1970 and 2020, a total of 122 sites were identified as being at risk of flash flooding. Moreover, several studies on rainfall trends at various scales have concluded that global warming is increasing extreme precipitation as well as extreme weather-related occurrences and risks. Therefore, high spatial resolution (0.25*0.25 degree) daily gridded rainfall data from the India Meteorological Department (IMD) was utilized to analyse the change in percentage from 1970 to 2020 for annual, pre-monsoon, monsoon, post-monsoon, and winter seasons.</p>
Root Cause Analysis Calibration Data
<p>This dataset contains three parts:</p> <ul> <li><strong>sizeEvolution.tar</strong>: Measurement data of relative standard deviations of generated call trees</li> <li>RCA strategy data: <strong>strategy-COMPLETE.tar</strong>, <strong>strategy-UNTIL_SOURCE_CHANGE.tar</strong>, <strong>strategy-LEVELWISE.tar</strong>: Measurement data of root cause analysis of example performance differences of 1.0%, 2.0%, 3.0% and 5.0% for three RCA strategies</li> <li><strong>extract.sh</strong>: Script for unpacking the RCA strategy data</li> <li><strong>RCA-strategy-results.tar.xz</strong>: The result data of the analysis</li> <li><strong>UNTIL_SOURCE_CHANGE_2_1.010.pdf </strong>and <strong>UNTIL_SOURCE_CHANGE_8_1.010.pdf</strong>: Two example files, showing how the F<sub>1</sub> score declines with increasing tree depth.</li> </ul> <p>Thereby, the measurability of root causes of performance changes based on the effect size and measurement strategy and configuration can be estimated.</p> <p>To execute the analysis of the data, execute the following steps:</p> <ul> <li>Download everything to the folder $DATA (eg. ~/Downloads/data/).</li> <li>Extract the data by running ./extract.sh in this folder.</li> <li>Analyse the data by running scripts/analysis_strategy/localStrategyComparison.sh $DATA from the precision-experiments-rca repository <em>(link will be provided upon acceptance)</em>, where $DATA is the folder of the data. This will yield pdf result files like given in RCA-strategy-results.tar.xz.</li> </ul> <p>To execute the measurements, use the precision-experiments-rca repository <em>(link will be provided upon acceptance)</em>.</p> <p>The measurement data were obtained by execution of https://github.com/DaGeRe/precision-experiments-rca/ on Java 1.8.0_312 running on Ubuntu 20.04 and on i7-6700 @ 3.40 GHz.</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.