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.
18,658
datasets available to search
ShareScore release 0.9.0
Dataset results
18,658 results for “impacts”
FAIR-IMPACT Synchronisation Force: preliminary data gathered from projects and intiatives
<p>Between the 21st and 24th of November 2022 more than 120 representatives of projects and initiatives funded and/or supported by the European Commission H2020 and Horizon Europe programmes and operating in the EOSC framework joined the FAIR-IMPACT Synchronisation Force collaborative sessions to assess the implementation of the FAIR principles across research projects and initiatives in the EOSC framework.</p> <p>The team focussed on work related to FAIR-IMPACT focus areas, namely Metrics and assessing FAIRness (session 1), Persistent Identifiers (Session 2), Trustworthy and FAIR-enabling repositories (Session 3) and Metadata, semantics and interoperability (Session 4).</p> <p>In order to ensure an interactive meeting, participants were asked to complete a preliminary survey according to the sessions that they would join and complete 4 questions. The inputs received constituted the starting point for the discussions during the Synchronisation Force Workshop and are collected here as pdf files.</p> <p> </p>
The impact of small-scale green infrastructure on the affective wellbeing associated with urban sites
<p>The database contains participants' reported affective perceptions of 18 images of street images with different levels of green coverage.</p>
WRF output for the Geophysical Research Letters publication "Potential Impacts of Radio Occultation Data Assimilation on Forecast Skill of Tropical Cyclone Formation in the Western North Pacific"
<p>This dataset is the Weather Research and Forecasting (WRF) model output for the <em>Geophysical Research Letters</em> publication entitled "Potential Impacts of Radio Occultation Data Assimilation on Forecast Skill of Tropical Cyclone Formation in the Western North Pacific". The dataset includes the azimuthal-averaged parameters with 0.2°resolution, three-day forecast, and two experiments for all cases analyzed in the publication. Due to the data size, only the variables used in the figures are uploaded (i.e., relative humidity, relative vorticity, temperature, and water vapor mixing ratio). Detailed information, composite calculation, and model settings can be found in the publication.</p>
The Impact of Satellite Trails on Hubble Space Telescope Observations: satellite classifications
<p>This repository contains the Hubble Space Telescope (HST) observations with satellite classifications, released in the paper "<a href="https://www.nature.com/articles/s41550-023-01903-3"><em>The Impact of Satellite Trails on Hubble Space Telescope Observations</em></a>" (DOI: 10.1038/s41550-023-01903-3<em>).</em></p> <p>This table contains 114 607 individual HST images taken in the last 19 years and publicly released in the <a href="https://hst.esac.esa.int/">eHST</a> archive by 3 October 2021, with satellite trail classifications made with machine learning and citizen science.</p> <p>We processed the individual images by adding the two ACS/WFC (WFC3/UVIS, respectively) apertures side-by-side, without correcting for geometric distortions and without the gap between the two detectors (hence why the satellite trails can appear discontinuous in the images). Note that these are not original images from the eHST archive, and therefore are not meant for other scientific analysis. The dataset contains 3072 HST images with satellites (2.7% of the dataset) and 3228 satellite trails in total. The classifications were visually inspected and vetted by the authors (images are flagged with the 'satellite' flag). </p> <p>The table contains the following columns:</p> <ul> <li>observation IDs: both individual exposures (simple_id) and composite images, multiple individual exposures processed and stacked (composite_id);</li> <li>instrument: ACS/WFC or WFC3/UVIS;</li> <li>start time and end time of exposure;</li> <li>exposure duration; </li> <li>right ascension (ra) and declination (dec);</li> <li>'satellite' flag [empty otherwise];</li> <li>no_sat: number of satellites in the image;</li> <li>image URL - URL for the individual HST observations used for satellite classification;</li> <li>additional metadata columns, as available in the <a href="https://hst.esac.esa.int/">eHST</a> archive.</li> </ul> <p>The satellites were classified by volunteers on the <a href="http://www.asteroidhunter.org">Hubble Asteroid Hunter</a> citizen science project and with a machine learning classifier. Please cite the paper (<a href="https://www.nature.com/articles/s41550-023-01903-3">Kruk et al.</a>, <a href="https://www.nature.com/articles/s41550-023-01903-3">https://www.nature.com/articles/s41550-023-01903-3</a>) when using the data in this repository.</p>
Addressing the impact of surface ectoderm and somitic mesoderm development on neural tube morphogenesis
<p>This dataset was generated during the implementation of the MSCA individual fellowship project (<a>101038073</a>).</p>
Temperature data of the 2022 MHW and underwater pictures of impacts on bath sponge populations
<p>July-to-August seawater temperature recorded at 18 m depth at the “3PP” station, La Ciotat, near Marseille, South of France (43.163°N; 5.599°E) using <em>in situ</em> autonomous sensors during the 2022 MHW, in the two previous years (grey dotted lines), and during the reference 2003 MHW (orange dotted line). Only one record per day is shown;</p> <p>IMG 1467: Two living sponge species, <em>Ircinia oros</em> and the bath sponge <em>Spongia officinalis</em>, the latter with necrotic spots on its surface (September 7, 2022) - Author Thierry Pérez</p> <p>IMG 1688: The same two sponges after five days (September 12, 2022), <em>S. officinalis</em> is dying, covered by a white bacterial veil. Author Thierry Pérez</p> <p> P9216598: A once rich and healthy population of <em>S. officinalis</em> at 10 m depth, September 21, 2022; Arrows point to <em>S. officinalis</em> dead skeletons left attached to the rocky wall; Author Pierre Chevaldonné</p>
Projected Smoke Impacts from Increased Prescribed Fire Activity (PHIRE) Smoke Modeling Datasets
<p>This dataset support the publication, Kramer et al., 2023, submitted to JGR: Atmospheres on 01-13-2023</p> <p>This project was supported by a grant from the CAL FIRE Forest Health Research Program (Agreement #8GG19803), as part of California Climate Investments. California Climate Investments is a statewide program that puts billions of Cap-and-Trade dollars to work reducing greenhouse gas emissions, strengthening the economy, and improving public health and the environment—particularly in disadvantaged communities. This study has not been reviewed by the funding agency and may not represent their opinion and interpretation of the findings. We also would like to acknowledge all participating organizations in the PHIRE team: The California Department of Public Health- Sumi Hoshiko; The Sequoia Foundation- Jeff Sanchez; U.S. EPA- Ana G. Rappold; Michigan Technological University- Nancy French; the U.S. Forest Service- Leland Tarnay; and Sonoma Technology- Fred Lurmann, ShihMing Huang, Samantha J. Kramer, Crystal McClure, and Melissa Chaveste. Beyond the authors of this publication, we would also like to acknowledge Sonoma Technology team members Kenneth J. Craig and Anondo Mukherjee for their contributions.</p>
Data for: Positive impact of postfire environment on bumble bees not explained by habitat variables in a remote forested ecosystem
<p>Bumble bees are important pollinators in temperate forested regions where fire is a driving force for habitat change, and thus understanding how these insects respond to fire is critical. Previous work has shown bees are often positively affected by the post-fire environment, with burned sites supporting greater bee abundance and diversity, and increased floral resources. The extent to which fire impacts variation in bumble bee site occupancy is not well understood, especially in higher latitude regions with dense, primarily coniferous forests. Occupancy models are powerful tools for biodiversity analyses, as they separately estimate occupancy probability (likelihood that a species is present at a particular location) and detection probability (likelihood of observing a species when it is present). Using these models, we tested whether bumble bee site occupancy is higher in burned locations as a result of the increase in canopy openness, floral species richness, and floral abundance. We quantified the impact of fire, and associated habitat changes, on bumble bee species' occupancy in an area with high wildfire frequency in British Columbia, Canada. The burn status of a site was the only significant predictor for determining bumble bee occurrence (with burned sites having higher occupancy); floral resource availability and canopy openness only impacted detection probability (roughly, sample bias). These findings highlight the importance of controlling for the influence of habitat on species detection in pollinator studies and suggest that fire in this system changes the habitat for bumble bees in positive ways that extend beyond our measurements of differences in floral resources and canopy cover.</p>
Permafrost Thaw and its Impact on Arctic Infrastructure: A Site Selection Bibliography
<p>Project Bibliography for DRP Task 1.2.1. Cited sources were used in the site selection process. </p>
Examining litter specific variability in mice and its impact on neurodevelopmental studies
<p>Our current understanding of litter variability in neurodevelopmental studies using mice may limit translation of neuroscientific findings. Higher variance of measures across litters than within, often termed intra-litter likeness, may be attributable to both pre- and postnatal environment. This study aimed to assess the litter-effect within behavioral assessments (2 timepoints) and anatomy using T1-weighted magnetic resonance images across 72 brain region volumes (4 timepoints) (36 C57bl/6J inbred mice; 7 litters: 19F/17M). Between-litter comparisons of brain and behavioral measures and their associations were evaluated using univariate and multivariate techniques. A power analysis using simulation methods was then performed on modeled neurodevelopment and to evaluate trade-offs between number-of-litters, number-of-mice-per-litter, and sample size. Our results show litter-specific developmental effects, from the adolescent period to adulthood for brain structure volumes and behaviors, and for their associations in adulthood. Our power simulation analysis suggests increasing the number-of-litters in experimental designs to achieve the smallest total sample size necessary for detecting different rates of change in specific brain regions. Our results demonstrate how litter-specific effects may influence development and that increasing the litters to the total sample size ratio should be strongly considered when designing neurodevelopmental studies.</p> <p>You will find the dataset descriptive information and MAGeT brain label volumes. Please consult the readme.txt file for a thorough description of the different csvs shared below. </p>
Supplementary material for "Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle"
<p>Supplementary material for "Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle". </p> <p>Clerc, C., Bopp, L., Benedetti, F., Vogt, M., and Aumont, O.: Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1282, 2022.</p> <p>Three directories can be downloaded:</p> <p><strong>DataOBS</strong> : AtlantECO [WP2] – Traditional microscopy dataset – Thaliacea (Salpida+Doliolida+Pyromosomatida) abundance and biomass concentration data, presented in Clerc et al. (2022). </p> <p><strong>FigPaper </strong>: Source code and .nc files for the figures presented in Clerc et al. (2022) (https://doi.org/10.5194/egusphere-2022-1282). </p> <p><strong>MY_SRC_PISCES_NEMO_3.6 :</strong> Additional fortran routines for the compilation of PISCES-FFGM, the model developed for Clerc et al. (2022), from NEMO-3.6 (https://www.nemo-ocean.eu)</p>
Energy Consumption Due To Test Quality: State of Affairs, Impacts, and Ways Forward
<p>This replication package contains data and scripts used in <strong>"Energy Consumption Due To Test Quality: State of Affairs, Impacts, and Ways Forward"</strong></p> <p>For details, please read README</p>
Impact of climate warming on phenological asynchrony of plankton dynamics across Europe
<p>This dataset includes all data as well as the scripts used to produce figures from both the main text and the supporting information from Gronchi et al. (2023) "Impact of climate warming on phenological asynchrony of plankton dynamics across Europe".</p> <p> </p> <p>Detailed description:</p> <p>Data_TDM_Validation.csv: file containing observed versus simulated timings of TDM for 18 lakes of western Europe.</p> <p>result_full_reference.mat and result_full_const_4C_warming.mat contain the 31-years medians of the lake phenologies for the 16 different simulated lake types and for both the reference and the constant +4°C climate scenario.</p> <p>The two scripts Plot_Fig_1_and_3.m and Plot_Supplement.m are responsible for the production, after treatment of the data, of figures 1 and 3 from the main text and most of the supplement respectively. These scripts include a detailed description of the variables used for producing these figures.</p> <p>Figures 2, 4, S1, S2 and S3 were done with R. For each of these figures there is their respective R script and the reorganized dataset used to produce them.</p> <p> </p> <p>Because of the large size of the inputs and outputs files analyzed in this study we only included the scripts (Output_Generation_Example.m and lakelayerdepth_1.m) and the data ( Meteo_Era_52.5_13.5.dat; Z30_ST00_KW06_52.5_13.5.LST Z30_ST00_KW06_52.5_13.5.Temp) necessary for generation of the phenology medians for one specific lake type at the reference scenario as example. The full dataset (~4To) can be given upon request.</p> <p>Ackowledgment: This product includes color specifications and designs developed by Cynthia Brewer (http://colorbrewer.org/)</p> <p> </p> <p> </p>
Lunar eclipses illuminate timing and climate impact of medieval volcanism
<p>This repository contains all the data and codes needed to reproduce the results and figures from the article "Lunar Eclipses Illuminate Timing and Climate Impacts of the Middle Ages" published in Nature.<br> <br> For more information, we refer the user to the readme file entitled "Guillet_et_al_Nature2023_Readme.txt".<br> <br> If you have any queries, please feel free to contact us: sebastien.guillet@unige.ch<br> <br> Thank you very much ;-)</p>
Individualized mental fatigue does not impact neuromuscular function and exercise performance
<p>Previous work has shown that mental fatigue may have negative consequences on cognitive or physical performance, although recent reports question this previous empirical evidence. Here, we investigate the critical role of inter-individual differences in susceptibility to develop mental fatigue by measuring neurophysiological and physical responses to an individualized mental fatigue task. We expected mental load to alter both subjective, i.e., increased subjective perception of fatigue, and objective markers of fatigue, i.e., impaired knee extensor neuromuscular function, impaired corticospinal excitability and reduced cerebral oxygenation. Even though all participants performed a similar mental effort, their performance in a subsequent exercise did not differ. Furthermore, even if there was an elevated subjective feeling of mental fatigue, none of the neurophysiological parameters were affected. The study provides new insights into an issue that has grown in popularity in recent years without questioning individual differences and which has taken for granted the detrimental effect of acute mental fatigue on performance.</p>
The Mixed Layer Depth in the Ocean Model Intercomparison Project (OMIP): Impact of Resolving Mesoscale Eddies: supporting data
<p>This file contains a jupyter notebook (python language) used to produce the figures of a manuscript submitted to the journal Geoscientific Model Development, and the data necessary to reproduce the figures.</p> <p>Abstract of the manuscript:</p> <p>The ocean mixed layer is the interface between the ocean interior and the atmosphere or sea ice, and plays a key role in climate variability. It is thus critical that numerical models used in climate studies are capable of a good representation of the mixed layer, especially its depth. Here we evaluate the mixed layer depth (MLD) in six pairs of non-eddying (1° resolution) and eddy-rich (up to 1/16°) models from the Ocean Model Intercomparison Project (OMIP), forced by a common atmospheric state. For model validation, we use an updated MLD dataset computed from observations using the OMIP protocol (a constant density threshold). In winter, low resolution models exhibit large biases in the deep water formation regions. These biases are reduced in eddy-rich models but not uniformly across models and regions. The improvement is most noticeable in the mode water formation regions of the northern hemisphere. Results in the Southern Ocean are more contrasted, with biases of either sign remaining at high resolution. In eddy-rich models, mesoscale eddies control the spatial variability of MLD in winter. Contrary to a hypothesis that the deepening of the mixed layer in anticyclones would make the MLD larger globally, eddy-rich models tend to have a shallower mixed layer at most latitudes than coarser models do. In addition, our study highlights the sensitivity of the MLD computation to the choice of a reference level and the spatio-temporal sampling, which motivates new recommendations for MLD computation in future model intercomparison projects.</p>
Data from: Assessing the mechanisms and impacts of shrub invasion in forests: A meta-analysis
<ol> <li>The encroachment of invasive shrubs in forest understories can have detrimental effects on native plant recruitment. As a result, removal of invasive species is a common practice although long-lasting success is rare. In order to effectively conserve and manage invaded forests, it is crucial to understand the mechanisms that drive shrub invasion, i.e., high propagule pressure, low native resistance, and exploitation of empty niches.</li> <li>To gain a deeper understanding of the invasion process in forest ecosystems we conducted a meta-analysis of the work done in this topic. We collected data on invasive species and native community performance and on the abiotic conditions of forest understories under low and high levels of shrub invasion. We analyzed data from 124 articles that yielded 377 unique observations.</li> <li>Our results revealed that while invader performance did not vary by the mechanism of invasion, the impact on the native community was significantly detrimental when invasion occurred via low biotic resistance, and only marginally significant via propagule pressure. Invasive species performance was associated with increases in light availability, but not with other resources (soil water, or nutrients). When assessing impact on native performance as a function of invasive performance, results were again only significant under the low biotic resistance mechanism. Lastly, impacts were stronger when invasion took place by a single invader.</li> <li> <em>Synthesis and applications</em>: Taken together, these results suggest that restoration efforts should focus on (i) increasing the presence of strong native competitors or functionally diverse native communities, (ii) decreasing sources of invasive shrub propagules while keeping the canopies closed when invasion occurs via high propagule pressure, (iii) avoiding management techniques that degrade or diminish canopy cover, and (iv) prioritizing management of forest understories dominated by particularly impactful invasive shrubs.</li> </ol>
Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems (Supplementary Material)
<p>This repository provides supplementary material to the ICSE 2023 paper "Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems". We provide the following material:</p> <p>- The experimental setup, including the performance and measurement scripts.</p> <p>- (Aggregated) measurement data and configurations used in our analysis as well as the raw code coverage measurements.</p> <p>- An interactive dashboard to reproduce and reenact our analyses/findings, re-create all visualizations used in the original paper and those omitted due to space limitations.<br> <br> The repository is structured as follows:<br> <br> - accepted_paper.pdf: Camera-ready version of the original paper for reference.</p> <p>- coverages_raw.tar.gz: Raw coverage reports as compressed CSV files (uncrompressed: ~60 GB)</p> <p>- artifacts_excluding_raw_coverage.zip: aggregated measurement data, interactive dashboard, and experimental setup</p> <p>- README.md: A detailed documentation of all the material provided.</p>
Lunar eclipses illuminate timing and climate impact of medieval volcanism
<p>This repository contains all the data and codes needed to reproduce the results and figures from the article "Lunar Eclipses Illuminate Timing and Climate Impacts of the Middle Ages" published in Nature.<br> <br> For more information, we refer the user to the readme file entitled "Guillet_et_al_Nature2023_Readme.txt".<br> <br> If you have any queries, please feel free to contact us: sebastien.guillet@unige.ch<br> <br> Thank you very much ;-)</p>
Datasets for Quantifying the impact of land use and land cover change on moisture recycling with convection-permitting WRF-tagging modeling in the agro-pastoral ecotone of northern China
<p>These datasets are the processed and refined data that support and lead to the described results and allow other readers to assess the conclusions in the paper, entitled “<strong>Quantifying the impact of land use and land cover change on moisture recycling with convection-permitting WRF-tagging modeling in the agro-pastoral ecotone of northern China </strong> ”.</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.