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.
210
datasets available to search
ShareScore release 0.9.0
Dataset results
210 results for “citizen data”
Figure 2 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 2 - Break-out group discussion at the 2nd Stakeholder Roundtable (Credit: Florian Wetzel)
Figure 5 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 5 - Biodiversity observation - from observation to data usage
Figure 1 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 1 - Totally recorded occurrences in 80 European CS data portals and publicly shared in GBIF.
Data from: Despite short-lived changes, COVID-19 pandemic had minimal large-scale impact on citizen science participation in India
<p>This dataset contains the filtered and processed data files used in the analyses for the paper titled "Despite short-lived changes, COVID-19 pandemic had minimal large-scale impact on citizen science participation in India". These are <code>.Rdata</code> files that can be readily imported into the R environment (all analyses were performed in the R environment using RStudio).</p> <p>It is important to note that these data files were derived from publicly available datasets, and that the entire analytical workflow is reproducible (see <a href="https://github.com/rikudoukarthik/covid-ebirding/blob/main/README.md">the Github repository</a> for more details). Below is a summary of the datasets used:</p> <h2>Data</h2> <p>The analysis is centred around eBird data from India, which is publicly available but is a very large file.</p> <ul> <li><a href="https://ebird.org/data/download/ebd" rel="nofollow"><em>eBird Basic Dataset (EBD)</em></a><em>, relMay-2022</em>: The current version of this dataset is much more recent and contains data after May 2022, but filtering it should produce a fairly similar dataset to the ones used in this study, with only minor changes. (The processed version of this EBD ready for analyses is <code>data0_MY_d_slice.RData</code>).</li> <li><em>Shapefiles</em>: <code>maps_sf.RData</code> contains admin unit polygons, and <code>grids_st_sf.RData</code> contains country-wide grids of multiple resolutions.</li> <li><a href="https://lpdaac.usgs.gov/products/mcd12q1v006/" rel="nofollow"><em>MODIS Land Cover Type Product MCD12Q1</em></a>: The processed data is available as <code>rast_UNU.RData</code>, but deleting this before starting the analysis will force fresh LULC data files from MODIS to be produced from the script.</li> <li><em>Timeline of COVID classification</em>: Available <code>covid_classification.csv</code>. Classification of the timeline of interest into various COVID categories.</li> </ul> <h2>Abstract</h2> <p>Many parts of the world lack the large and coordinated volunteer networks required for systematic monitoring of bird populations. In these regions, citizen science (CS) programmes offer an alternative with their semi-structured data, but the utility of these data is contingent on how, where, and how comparably birdwatchers watch birds, year on year. Trends inferred from the data can be confounded during years when birdwatchers may behave differently, such as during the COVID-19 pandemic. We wanted to ascertain how the data uploaded from India to one such CS platform, eBird, were impacted by this deadly global pandemic. To understand whether eBird data from the pandemic years in India are comparable to data from adjacent years, we explored several characteristics of the data, such as how often people watched birds in groups or at public locations, at multiple spatial and temporal scales. We found that the volume of data generated increased during the pandemic years 2020--21 compared to 2019. Data characteristics changed largely only during the peak pandemic months (April--May 2020 and April--May 2021) associated with high fatality rates and strict lockdowns. These changes in data characteristics (e.g., greater site fidelity and less group birding) were possibly due to the decreased human mobility and social interaction in these periods. The data from the remainder of these restrictive years remained similar to those of the adjacent years, thereby reducing the impact of the aberrant peak months on any annual inference. Our findings show that birdwatchers in India as contributors to CS rapidly returned to their pre-pandemic behaviour, and that the effects of the pandemic on birdwatching effort and birdwatcher behaviour are scale- and context-dependent. In summary, eBird data from the pandemic years in India remain useful for abundance trend estimation and similar large-scale applications, but will benefit from preliminary data quality checks when utilised at a fine scale.</p>
FIGURE 3 in An analysis of fossil identification guides to improve data reporting in citizen science programs
FIGURE 3. The setup used to photograph bromalites for the identification guides.
FIGURE 2 in An analysis of fossil identification guides to improve data reporting in citizen science programs
FIGURE 2. Stratigraphic column of FMMS.
Data from: Revealing biases in insect observations a comparative analysis between academic and citizen science data
<p>Data and code used in the article "Revealing biases in insect observations a comparative analysis between academic and Citizen Science data".</p>
Global data on caudal condition in geckos based on iNaturalist images with supplementary material for the manuscript: Human footprint is changing how geckos respond to enemies: evidence from global citizen science data
<h3>This repository contains the supplementary material and dataset linked to the paper "Human footprint is changing how geckos respond to enemies: evidence from global citizen science data" </h3> <p>we provide two supplementary tables in .csv and .xlsx files (Table S1 and S2), a figure S1, and the two datasets in .csv (data_28_03.csv is the raw dataset, and the table S3 is the dataset compile from the literature review). We also include a crosstable (table2.html) comparing metrics based on the variables raised during the project among gecko species.</p> <h3> </h3>
Data from: Deep Sea Spy: an online citizen science annotation platform for science and ocean literacy
<p>Data sets of buccinid <em>Buccinum thermophilum </em>and crab <em>Segonzacia mesatlantica </em>after identifying unique groups (i.e. individuals) — using the updated version (v0.0.3) of the <a title="Deep Sea Spy - deeptools" href="https://github.com/DeepSeaSpy/deeptools">deeptools</a> package — among Deep Sea Spy citizen participants and expert.</p> <p>Data cleaning : annotated buccinids in background removed in <span><a href="https://zenodo.org/api/records/14203506/draft/files/CS_groups.csv/content" target="_blank" rel="noopener noreferrer">CS_groups.csv</a></span></p> <p>R script used to generate and analyse the dataset.</p> <p><strong>Please, use this version (v5).<br></strong></p>
Data for the publication: Struggles for democracy: strategies and resources of initiatives for non-citizen voting rights at local level in Europe
<p>The uploaded files present research material of the project: Initiatives for Non-Citizen Voting Rights in Three European Countries (nccr - on the move, Switzerland) and of the publication: </p> <p>Sontag, K., Herzog, M. & Lässer, S. Struggles for democracy: strategies and resources of initiatives for non-citizen voting rights at local levels in Europe. <em>CMS</em> 10, 17 (2022). https://doi.org/10.1186/s40878-022-00286-0</p> <p>The dataset contains survey questionnaires, links to webpages, metadata of interviews and a user manual.</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.