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709 results for “Coverage”

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zenodo40/100

Photographic coverage of the Trou de la Féclaz site (Saint-Jean-d'Arvey, Savoie, France)_datasets

<p>The dataset described in this paper consists of 557 photographs composing the 2D photographic coverage of the rock paintings from the Trou de la F&eacute;claz alpine site (Saint-Jean-d&rsquo;Arvey, Savoie, France) with 14 pictures of the environment of the site and 21 pictures composing the general views of the rockshelter. This dataset is described in the datapaper published in <em>Pr&eacute;histoires m&eacute;diterran&eacute;ennes</em> (Defrasne 2022). It was carrying out as part of a post-doctoral research at Aix-Marseille Universit&eacute; on the structure and chronology of the prehistoric schematic rock paintings from southern France and western Alps, a corpus today composed of 146 sites. This was administratively authorized both by the municipality that is the owner of the site, and the Service R&eacute;gional de l&rsquo;Arch&eacute;ologie Auvergne-Rh&ocirc;ne-Alpes that also financially supported the fieldwork.</p> <p>Defrasne 2022, &laquo;&nbsp;Photographic coverage of the Trou de la F&eacute;claz site (Saint-Jean-d&rsquo;Arvey, Savoy, France) &mdash; <em>data paper</em>&nbsp;&raquo;,&nbsp;<em>Pr&eacute;histoires M&eacute;diterran&eacute;ennes</em> [En ligne], 9.1&nbsp;|&nbsp;2021, mis en ligne le 12 juillet 2022, consult&eacute; le 27 juillet 2022. URL&nbsp;: http://journals.openedition.org/pm/3429&nbsp;; DOI&nbsp;: https://doi.org/10.4000/pm.3429</p>

opencc-by-4.0May 2022View details →
zenodo40/100

Coverage and Performance Analysis of 5G Non-Standalone Deployments

<p>Passive and active network measurements&nbsp;used for analysing &#39;Coverage and Performance Analysis of 5G Non-Standalone Deployments&#39;</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Long-term (2001-2020) global full-coverage daytime and nighttime carbon monoxide profile and total column

<p>Validation results are in preparation. The full dataset will be uploaded after the submission/acceptance of our paper.</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

Survey Protocol - A Metrics suite for End-to-End Microservice Test Coverage

<p>These survey is performed and reported in a paper titled "A Metrics suite for End-to-End Microservice Test Coverage".</p>

opencc-by-4.0May 2024View details →
zenodo40/100

The Impact of Oxygen Surface Coverage and Carbidic Carbon on the Activity and Selectivity of Two-Dimensional Molybdenum Carbide (2D-Mo2C) in Fischer–Tropsch Synthesis

<p>Datasets categorized per figure and contain data in x,y format.</p> <p>for the DFT part:</p> <p>35 elementary steps were studied. Each step is marked RX_NEB_InitialState_FinalState, and corresponds to the neb calculation for the identification of the transition state. In each file, POSCAR_00 corresponds to the initial structure and POSCAR_09 to the final structure, in both cases after geometry optimization. In each state, a file with the vibration calculation for the calculation of the Gibbs Energy is included.&nbsp;</p> <p>The Gibbs energies of the initial, transition and final states in table format are provided in <em>Figure 4 - panel b - Gibbs Energies_Initial_Transition_Final_states_35_elementary_reactions</em></p> <p>The calculation of Gibbs energies of the gas phase molecules in the empty unit cell, used as reference states are provided in <em>Figure 4 - Reference_state_Gases_empty_unit_cell</em></p> <p>The computations for the comparison of the different sites (HMo, Hc, atop and bridge) are provided in <em>Table S6 - Comparison_adsorption_sites</em></p> <p>The computations on the model with a partial oxygen coverage (O.67 O ML) are provided in:</p> <p><em>Figure S29 - mo2c-ctx-3x3_067OML_C_CH_CCH</em></p> <p><em>Figure S29 - mo2c-ctx-3x3_067OML_CH3_H_CH4</em></p> <p><em>Figure S29 - mo2c-ctx-3x3_067OML_CO_C_O</em></p> <p><em>Figure S29 - mo2c-ctx-3x3_067OML_CO_O_CO2</em></p>

opencc-by-4.0Jan 2024View details →
zenodo40/100

somalier files for thousand genomes high-coverage VCF for 2504 samples

<p>somalier files extracted from the thousand genomes VCF to be used for ancestry prediction with somalier.</p>

opencc-by-4.0Sep 2019View details →
zenodo40/100

Fig. 4. Goods coverage index for each sample using the OTUs. Retained 330,000 in Bacterial community of ticks (Acari: Ixodidae) and mammals from Arauca, Colombian Orinoquia

Fig. 4. Goods coverage index for each sample using the OTUs. Retained 330,000 (49.90%) features in 15 (93.75%) samples at the specified sampling depth (22,000).

opencc-by-4.0Aug 2024View details →
zenodo40/100

Beyond Coverage Path Planning: Can UAV Swarms Perfect Scattered Regions Inspections? - Data Collected and Presented for the Experiments

<p>This dataset contains images collected (and processed) for the experiments of Beyond Coverage Path Planning: Can UAV Swarms&nbsp;Perfect Scattered Regions Inspections?" journal article, a work that defines a new path planning problem for UAVs - the Fast Inspection of Scattered Regions (FISR) - and introduces a novel method that deals with this problem - the multi-UAV Disjoint Areas Inspection (mUDAI) method. For the validation of the introduced methodology, two sets of real-world experiments were executed, one small-scale in Galatsi, Athens, were two mUDAI missions were depolyed, with two different optimization objectives for the data collection procedure (Mazimized Coverage Objective - MCO, and Balanced Coverage Objective - BCO), and one large scale in ZEP-Kissos, Thessaloniki, where a Coverage Path Planning (CPP) mission, and 2 mUDAI missions, one with a single and one with two UAVs, using both the MCO criterion for the data collection, were deployed. Regarding the CPP mission, both the collected images, and the processed results (to generate 2D, 3D, elevation, and plant health maps) are included.</p> <p>In this <a title="mUDAI - ChoosePath platform guide" href="https://sites.google.com/view/mudai-platform/" target="_blank" rel="noopener">page</a> you can find a guide for the on-line platform hosting demo instances of the algorithms used for the deployment of all experiments.</p> <p>In case you use this data, please cite the article:<br>(Article under review - more information to be included soon)</p>

opencc-by-4.0Sep 2024View details →
dryad40/100

One‐locus‐several‐primers: A strategy to improve the taxonomic and haplotypic coverage in diet metabarcoding studies

In diet metabarcoding analyses, insufficient taxonomic coverage of PCR primer sets generates false negatives that may dramatically distort biodiversity estimates. In this paper, we investigated the taxonomic coverage and complementarity of three cytochrome c oxidase subunit I gene (COI) primer sets based on in silico analyses and we conducted an in vivo evaluation using fecal and spider web samples from different invertivores, environments, and geographic locations. Our results underline the lack of predictability of both the coverage and complementarity of individual primer sets: (a) sharp discrepancies exist observed between in silico and in vivo analyses (to the detriment of in silico analyses); (b) both coverage and complementarity depend greatly on the predator and on the taxonomic level at which preys are considered; (c) primer sets' complementarity is the greatest at fine taxonomic levels (molecular operational taxonomic units [MOTUs] and variants). We then formalized the "one‐locus‐several‐primer‐sets" (OLSP) strategy, that is, the use of several primer sets that target the same locus (here the first part of the COI gene) and the same group of taxa (here invertebrates). The proximal aim of the OLSP strategy is to minimize false negatives by increasing total coverage through multiple primer sets. We illustrate that the OLSP strategy is especially relevant from this perspective since distinct variants within the same MOTUs were not equally detected across all primer sets. Furthermore, the OLSP strategy produces largely overlapping and comparable sequences, which cannot be achieved when targeting different loci. This facilitates the use of haplotypic diversity information contained within metabarcoding datasets, for example, for phylogeography and finer analyses of prey–predator interactions.

opencc-zeroDec 2018View details →
zenodo40/100

Text-fig. 6. Distribution of Oligocene continental sediments of Africa, revealing the patchy and incomplete coverage of the occurrences. The Tunisian sedimentary outcrops represent an important resource for the north-western part of the continent. in Arsinoitherium (Embrithopoda) And Other Large Mammals And Plants From The Oligocene Of Tunisia

Text-fig. 6. Distribution of Oligocene continental sediments of Africa, revealing the patchy and incomplete coverage of the occurrences. The Tunisian sedimentary outcrops represent an important resource for the north-western part of the continent.

opencc-by-4.0Aug 2017View details →
zenodo40/100

T-Evos: A Large-Scale Longitudinal Study on CI Test Execution and Coverage Evolution

<p><strong>Description</strong></p> <p>T-Evos is a dataset on test results and coverage evolution, covering 6,495 consecutive commits across 12 open-source Java projects.</p> <p>&nbsp;</p> <p><strong>Version 0.1.0</strong></p> <p>We have included the test results and code coverage&nbsp;data. The test results data has been combined into the `test_status.json` for ease of access at the root level of the repository. Each of the node zip files contains the code coverage data. In each of the zip files, the code coverage data folder is structured as followed:</p> <ul> <li>project_name <ul> <li>commit_id <ul> <li>details <ul> <li>test_name.json (individual test coverage data)</li> <li>...</li> </ul> </li> <li>coverage.json (full test coverage data on commit_id)</li> </ul> </li> <li>surefire_test_method_dict.json (available test cases)</li> </ul> </li> <li>project_name.csv (commit build status [success/fail])</li> </ul> <p>Note:&nbsp;the&nbsp;current version of the dataset includes temporary `project_cluster` folders that users might kindly ignore.</p>

opencc-by-4.0Aug 2021View details →
zenodo40/100

Spatial analysis of Measles Vaccination Coverage in the State of São Paulo

<p>Dataset for the article Spatial Analysis of Measles Vaccination Coverage in the State of S&atilde;o Paulo. The aim of the present study was to evaluate first and second dose of measles vaccine coverage (VC) in the cities of S&atilde;o Paulo and its spatial dynamics between 2015 and 2020. Method: It is a mixed-type ecological study After calculating the VC, the following four categories were created: very low, low, adequate, and high, and the spatial autocorrelation of VC was analyzed using the Global and Local Moran&rsquo;s statistics.&nbsp;The dataset is divided by year and by vaccine type.&nbsp;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Unveiling the Relationship Between Continuous Integration and Code Coverage

<p>Artifacts from&nbsp; <strong>Unveiling Relationships Between Continuous Integration and Code Coverage</strong></p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

Automatically Extracted SHACL Shapes for WikiData, DBpedia, YAGO-4, and LUBM & Associated Coverage Statistics

<p>The uploaded datasets contain <strong>automatically extracted&nbsp;</strong>SHACL shapes for the following datasets:</p> <ul> <li>WikiData (the truthy dump from&nbsp;September 2021&nbsp;filtered by removing non-English strings)&nbsp;[1]</li> <li>DBpedia [2]</li> <li>YAGO-4 [3]&nbsp;</li> <li>LUBM&nbsp;(scale factor 500)&nbsp;[4]</li> </ul> <p>The validating shapes for these datasets are generated by a program that parses the corresponding RDF files (in `.nt` format).&nbsp;The extracted shapes encode various SHACL constraints, e.g., sh:minCount, sh:path, sh:class, sh:datatype etc.&nbsp;For each shape we encode coverage in terms of number of entities satisfying such shape, this information is encoded using the <a href="http://vocab.deri.ie/void#entities">void:entities</a>&nbsp;predicate.&nbsp;</p> <p>We have provided as executable Jar file the program we developed to extract these SHACL shapes.<br> More details about the datasets used to extract these shapes and <em>how to run the Jar</em> are available on our GitHub repository <a href="https://github.com/dkw-aau/qse">https://github.com/dkw-aau/qse</a>.</p> <p>Read more about our Quality Shapes Extraction (QSE) tool on our website&nbsp;<a href="https://relweb.cs.aau.dk/qse/">https://relweb.cs.aau.dk/qse/</a></p> <p>[1]&nbsp;Vrandečić, Denny, and Markus Kr&ouml;tzsch. &quot;Wikidata: a free collaborative knowledgebase.&quot; Communications of the ACM 57.10 (2014): 78-85.</p> <p>[2] Auer, S&ouml;ren, et al. &quot;Dbpedia: A nucleus for a web of open data.&quot; The semantic web. Springer, Berlin, Heidelberg, 2007. 722-735.</p> <p>[3] Pellissier Tanon, Thomas, Gerhard Weikum, and Fabian Suchanek. &quot;Yago 4: A reason-able knowledge base.&quot; European Semantic Web Conference. Springer, Cham, 2020.</p> <p>[4] Guo, Yuanbo, Zhengxiang Pan, and Jeff Heflin. &quot;LUBM: A benchmark for OWL knowledge base systems.&quot; Journal of Web Semantics 3.2-3 (2005): 158-182.</p>

opencc-by-4.0Feb 2022View details →
zenodo40/100

Full-coverage high-resolution (Daily, 1-km) PM2.5 dataset in China (2000-present)

<p>We have estimated full-coverage, daily 1-km PM2.5 data from 2000 to 2022 in China using a random forest-based hindcast modeling method. <strong>Our modeling method focused on improving pre-2013 PM2.5 estimates because for those years no available PM2.5 measurements can be directly used for constructing the model and evaluating the model performance.&nbsp;</strong>In our proposed method, observed predictor&nbsp;information before 2013 was incoporated into the modeling for the first time. Multiple sources were used as inputs, including MAIAC AOD, meteorological data from CMA, reanalysis data from ERA-5, and other land-related data.&nbsp;The daily&nbsp;average data during 2000-2022 are released here and free for non-commercial use.&nbsp;<em><strong>If you want use our dataset, please cite the following publication.&nbsp;</strong></em></p> <p>The estimates in 2021-2022 are separately predicted using the same modeling method developed in the publication below and samples in the corresponding predictive year (sample-based 10-fold cross validation R2 [RMSE] values are 0.91 [8.84 ug/m3] for 2021 and 0.93 [7.42 ug/m3] for 2022, respectively.&nbsp;</p> <p>&nbsp;</p> <p><strong>-He, Q., Ye, T., Wang, W., Luo, M., Song, Y., &amp; Zhang, M. (2023). Spatiotemporally continuous estimates of daily 1-km PM2. 5 concentrations and their long-term exposure in China from 2000 to 2020.&nbsp;<em>Journal of Environmental Management</em>,&nbsp;<em>342</em>, 118145.[<a href="https://doi.org/10.1016/j.jenvman.2023.118145">url</a>]</strong></p> <p><strong>-He, Q., Wang, W., Song, Y., Zhang, M., &amp; Huang, B. (2023). Spatiotemporal high-resolution imputation modeling of aerosol optical depth for investigating its full-coverage variation in China from 2003 to 2020.&nbsp;<em>Atmospheric Research</em>,&nbsp;<em>281</em>, 106481.[<a href="https://doi.org/10.1016/j.atmosres.2022.106481">url</a>]</strong></p> <p>Full-coverage daily estimates spanning the years 2015 to Jun 2021&nbsp;are archived here. These records, organized by month, are available for download in CSV format. For Jul-Dec 2021, please go to&nbsp;<a href="https://zenodo.org/record/8084388">10.5281/zenodo.8084388</a>.</p> <p>If you want more data (e.g.daily estimates before 2015), have any question, or further collaborate with us, please contact us via qqhe@whut.edu.cn.</p> <p>If you want to use <strong>monthly</strong> estimates from 2000 to 2022, please go to&nbsp;<a href="https://zenodo.org/record/8084388">10.5281/zenodo.8084388</a>.</p> <p><strong>We also estimate other atmospheric data:</strong></p> <p>For full-coverage, 1-km, AOD data in China, please go to&nbsp;<a href="https://dataverse.harvard.edu/dataverse/atmospheric_data_by_WHUT">harvard dataverse</a>. This dataset was imputed based on MODIS MAIAC 1-km AOD retrievals.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Dataset supporting the paper "Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities"

<p>Datasets involved in the construction and benchmarking of the CollecTRI-derived regulons&nbsp;as presented in the paper &quot;Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities&quot;.</p>

opencc-by-4.0Mar 2023View details →
dryad40/100

One‐locus‐several‐primers: A strategy to improve the taxonomic and haplotypic coverage in diet metabarcoding studies

Open the record for dataset details and reuse information.

publicJul 2023View details →
dryad40/100

Data for: Canopy coverage, light, and moisture affect thermoregulatory trade-offs in an amphibian breeding habitat

Open the record for dataset details and reuse information.

publicApr 2024View details →
edi40/100

Spatial coverage and inter-annual persistence of cryoconite holes on Canada and Commonwealth glaciers, McMurdo Dry Valleys, Antarctica (2014-2015)

This data package includes measurements pertaining to the spatial distribution and multi-annual persistence of cryoconite holes on Canada and Commonwealth Glaciers in Taylor Valley, Antarctica during two consecutive austral summers (2013-14 and 2014-15). Four circular sampling zones were established on each glacier and multiple measurements of the surface shape and absolute location of all cryoconite holes within the sampling zones were recorded. These measurements can be used to generate spatial maps and analyze the persistence of cryoconite holes from one summer to the next by tracking individual holes and identifying the number lost, gained, and persistent on a multiannual scale. The physical state of each cryoconite hole (liquid-filled, fully frozen, or drained/dry) was also recorded in order to assess the capacity for drained columns to re-initiate downward melting later in the austral summer or during the following year. The glacial surface coverage (GSC) of liquid-filled cryoconite holes can be used in order to assess the contribution of these columns to total glacial melt and drainage. A detailed description for how to use these data in subsequent analyses to spatially map and ‘track’ cryoconite holes over time is available in Water Resources Research: A.Q. Mass and D.M. McKnight (2021) The inter-annual persistence and contribution of cryoconite holes in Taylor Valley, Antarctica to the hydrologic cycle of the McMurdo Dry Valleys under a new climate regime.

openCC (other)Mar 2021View details →
zenodo36/100

Average genome coverage of the CAMI 2 Mouse Gut Toy data set

<p>Genome coverage (short reads) averaged over the 64 samples of the CAMI 2 Mouse Gut Toy data set</p>

opencc-by-4.0Feb 2020View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record