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.
2,833
datasets available to search
ShareScore release 0.9.0
Dataset results
2,833 results for “utility”
A data set on "Utilizing Constant Energy Difference between sp-Peak and C 1s Core Level in Photoelectron Spectra for Unambiguous Identification and Quantification of Diamond Phase in Nanodiamonds"
<p>The data set to paper: </p> <p>Utilizing Constant Energy Difference between sp-Peak and C 1s Core Level in Photoelectron Spectra for Unambiguous Identification and Quantification of Diamond Phase in Nanodiamonds</p> <p>Oleksandr Romanyuk1,*, Štěpán Stehlík1,2, Josef Zemek1, Kateřina Aubrechtová Dragounová1,3 and Alexander Kromka1</p> <p>1 Institute of Physics of the Czech Academy of Sciences, Cukrovarnická 10, 162 00 Prague, Czech Republic<br>2 New Technologies—Research Centre, University of West Bohemia, Univerzitní 8, 306 14 Pilsen, Czech Republic<br>3 Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Břehová 7, 115 19 Prague, Czech Republic</p> <p>* corresponding author: romanyuk@fzu.cz</p> <p>Data manager: Kristýna Dostálová: dostalovak@fzu.cz</p> <p>Date of data collection: 1. 1. 2024 - 15. 03. 2024</p> <p>All the data showed in the pictures are provided in X-Y format with described sample. Always, the respective Figure to which the data belong is provided in high resolution. <br>The data are in the following formats: <br>Figure 1: tiff, csv<br>Figure 2: tiff, csv<br>Figure 3: tiff, csv<br>Figure 4: tiff, csv<br>Figure 5: tiff, csv</p> <p>Data acquistion and processing is provided in the Experimental part in the publication: DOI:10.3390/nano14070590</p>
Raw data of the study: Categorizing urban avoiders, utilizers, and dwellers for identifying bird conservation priorities in a northern Andean city
<p>This datasheet contains raw data on bird count records made from 2016 and 2019. Data were taken in urban and adjacent non-urban areas of Medellín, Colombia. It was part of a collaborative sampling effort during environmental assessments and personal research, summarizing systematic information on 139 sampling points (124 within the city and 15 in adjacent non-urban areas). All points were sampled under the same protocol in order to facilited data for research; in all cases, sampling was in charge of ornithologist with at least 4 years of previous experience in bird surveys. This protocol consisted in sampling during 10 minutes, four times per point (i.e., repetitions), using a fixed radius of 25 m. </p> <p>Information on bird surveys (Count_Data within the corresponding datasheet tab) contains the ID of each site; whether corresponded to a urban or non-urban site; in what category of urban development the site was located, based on 1000, 500 and 200 m buffers (from the observer during bird counts: moderate, low or high); the taxonomic information of each species (order, family, scientific name); the number of recorded individuals; the repetition or number of the visit (1, 2, 3, or 4); the name of the project; the name of the observer, and the date of sampling. </p> <p>Information on categorization of bird species (Categorization within the corresponding datasheet tab) represents additional information on altitudinal ranges, trophic guilds, distribution, and others. In addition, information on frequency for each bird species is given, according to the location of each sampling site and the way it was grouped. This information was the base for categorizing bird species as urban avoider, utilizer, or dweller, under the calculations and decision rules that are also given within the corresponding cells of the datasheet.</p> <p>Any further information or questions about this data could be ask directly, writing to the e-mails: jgarizabal@unal.edu.co or njmacer@unal.edu.co.</p> <p> </p>
Organelle Genome Utilities benchmark data
<p>test_Lamiaceae.zip: Benchmark result of Lamiaceae plastid data. Includes original sequences and analyze result from OGU.<br>test_1M_out.zip: Benchmark result of 1 million random GenBank records. Includes original sequences and analyze result from OGU.<br>test_308_angiosperm.zip: Benchmark result of 308 angiosperm family's plastid genomes. Includes original sequences and analyze result from OGU.<br>test_rodents.zip: Benchmark result of 307 mitochondria genomes from rodents. Includes original sequences and analyze result from OGU.<br>CDS and spacer tree of angiosperm plastid data.zip: Sequences and maximum likelihood trees of angiosperm plastid CDS and spacers. Built with IQTREE2.</p> <p>OGU-source code.zip: three versions of source code of OGU. </p>
Comparison of conventional IgE assay and measurement of specific IgE to hemocyanin for the diagnosis of adult crab allergy (Running tile: Utility of crab extracts and hemocyanin in diagnosing crab allergy)
<p><span>Summary: </span></p> <p><span><span> </span>Specific IgE to hemocyanin was elevated in crab-allergic as compared to crab-tolerant patients.</span></p> <p><span><span> </span>The combination of specific IgE to hemocyanin and conventional IgE assays improved specificity.</span></p>
Dataset: Utilization of Novel (KNbO3)1-x(Ba2FeNbO6)x (x = 0.1, 0.2, 0.3) Solid Solutions for Efficient Photo-assisted Fenton Degradation of Methylene Blue Dye
<p>Supplemental information containing the inputs and outputs of all DFT calculations performed as part of this work.</p> <p>This archive contains the following scripts:</p> <ul> <li>defects_workup.py: a Python script for processing all calculations in a given folder. It extracts the total energy, estimated SCF accuracy (for non-converged results), and convergence status (true/false) for all cases found in each subfolder. For converged calculations, the mean Ba-Ba distance and its standard deviation as well as the mean Ba-Fe distance and its standard deviation is calculated. </li> <li>bands_plotter.ipynb: a Jupyter notebook for band structure analysis.</li> <li>ase_rdf.ipynb: a Jupyter notebook for bond distance vs energy analysis</li> </ul> <p>Furthermore, the following data is included:</p> <ul> <li>3x2x2.json: the output json file generated for the 3x2x2 dataset using defect_workup.py</li> <li>3x2x2.7z: a compressed folder containing the 3x2x2 dataset with QE input and output files.</li> <li>3x2x2-v2.7z: a compressed dataset containing some supplementary calculations used in band plotting.</li> </ul>
Comparison of conventional IgE assay and measurement of specific IgE to hemocyanin for the diagnosis of adult crab allergy (Running tile: Utility of crab extracts and hemocyanin in diagnosing crab allergy)
<p>Summary:</p> <p> Specific IgE to hemocyanin was elevated in crab-allergic as compared to crab-tolerant patients.</p> <p> The combination of specific IgE to hemocyanin and conventional IgE assays improved specificity.</p>
Public Utility Data Liberation Project (PUDL) Data Release
<h2><strong>v2025.10.0 (2025-10-14)</strong></h2> <p>This is a regular monthly data release, primarily intended to ensure that PUDL has the most up-to-date EIA-860M data. It also happens to include final EIA-860 data for 2024, and some newly integrated EIA-923 financial data and PHMSA natural gas data. See below for details.</p> <h3>Expanded Data Coverage</h3> <h4>EIA-860</h4> <ul> <li> <p>Updated EIA-860 with final release data from 2024. See issue <a href="https://github.com/catalyst-cooperative/pudl/issues/4616">#4616</a> and PR <a href="https://github.com/catalyst-cooperative/pudl/pull/4617">#4617</a>.</p> </li> </ul> <h4>EIA-860M</h4> <ul> <li> <p>Updated EIA-860M monthly generator report with newly published data for August of 2025. See issue <a href="https://github.com/catalyst-cooperative/pudl/issues/4639">#4639</a> and PR <a href="https://github.com/catalyst-cooperative/pudl/pull/4638">#4638</a>.</p> </li> </ul> <h3>New Data</h3> <h4>PHMSA</h4> <ul> <li> <p>Added eight transformed table containing annual data from PHMSA natural gas distributors from 1970 to the present. Note that these containing mostly numeric values are named as <code><span>_core</span></code> - indicating that these tables have not been fully cleaned and validated. We’ve published these tables to make the 50+ years of PHMSA data we’ve extracted and mapped available for others to use and for contributors to more easily improve incrementally. See <a href="https://github.com/catalyst-cooperative/pudl/issues/3770">#3770</a> and <a href="https://github.com/catalyst-cooperative/pudl/pull/4005">#4005</a>.</p> </li> <li> <p>The first cleaned table, <code><span>core_phmsagas__distribution_operators</span></code> has been added to our PUDL database. Thanks to <a href="https://github.com/sponsors/seeess1">@seeess1</a> for all of your work on this!</p> </li> </ul> <h4>EIA 923</h4> <ul> <li> <p>Thanks to contributions from <a href="https://github.com/sponsors/alexclippinger">@alexclippinger</a>, we’ve added cleaned EIA923 Schedule 8B Financial Information to the PUDL database as <a href="https://catalystcoop-pudl.readthedocs.io/en/v2025.10.0/data_dictionaries/pudl_db.html#i-core-eia923-yearly-byproduct-expenses-and-revenues"><span>_core_eia923__yearly_byproduct_expenses_and_revenues</span></a>. Once harvested, this table will be replaced with a well-normalized version of the same data, but it is being published in this form until then. See <a href="https://github.com/catalyst-cooperative/pudl/issues/4099">#4099</a> and <a href="https://github.com/catalyst-cooperative/pudl/issues/2448">#2448</a>, and <a href="https://github.com/catalyst-cooperative/pudl/pull/4636">#4636</a>.</p> </li> </ul> <h3>Documentation</h3> <ul> <li> <p>Added data source pages for:</p> <ul> <li> <p><a href="https://catalystcoop-pudl.readthedocs.io/en/v2025.10.0/data_sources/censuspep.html"><span>Population Estimates Program's (PEP) Federal Information Processing Series (FIPS) Codes</span></a>; see issue <a href="https://github.com/catalyst-cooperative/pudl/issues/4375">#4375</a> and PR <a href="https://github.com/catalyst-cooperative/pudl/pull/4622">#4622</a>.</p> </li> <li> <p><a href="https://catalystcoop-pudl.readthedocs.io/en/v2025.10.0/data_sources/sec10k.html"><span>U.S. Securities and Exchange Commission (SEC) Form 10-K</span></a>; see issue <a href="https://github.com/catalyst-cooperative/pudl/issues/4329">#4329</a>, <a href="https://github.com/catalyst-cooperative/pudl/issues/4347">#4347</a> and PR <a href="https://github.com/catalyst-cooperative/pudl/pull/4562">#4562</a>.</p> </li> </ul> </li> </ul> <h3>New Data Tests & Data Validations</h3> <ul> <li> <p>After investigating some modest discrepancies between our imputed hourly electricity demand and prior work by <a href="https://github.com/sponsors/truggles">@truggles</a> & <a href="https://github.com/sponsors/awongel">@awongel</a>, we’re removing the “EXPERIMENTAL” warning label that we had on those tables. See <a href="https://github.com/catalyst-cooperative/pudl-examples/pull/10">our discussion about the imputation results in the PUDL Examples repo</a>. The <a href="https://www.kaggle.com/code/catalystcooperative/06-pudl-imputed-electricity-demand">associated notebook is available on Kaggle</a></p> <p>This relates to the PUDL imputed demand values in following tables:</p> <ul> <li> <p><a href="https://catalystcoop-pudl.readthedocs.io/en/v2025.10.0/data_dictionaries/pudl_db.html#out-eia930-hourly-operations"><span>out_eia930__hourly_operations</span></a></p> </li> <li> <p><a href="https://catalystcoop-pudl.readthedocs.io/en/v2025.10.0/data_dictionaries/pudl_db.html#out-eia930-hourly-subregion-demand"><span>out_eia930__hourly_subregion_demand</span></a></p> </li> <li> <p><a href="https://catalystcoop-pudl.readthedocs.io/en/v2025.10.0/data_dictionaries/pudl_db.html#out-eia930-hourly-aggregated-demand"><span>out_eia930__hourly_aggregated_demand</span></a></p> </li> </ul> </li> </ul> <h3>Deprecations</h3> <ul> <li> <p>We have finally shut down our long-suffering <a href="https://datasette.io">Datasette</a> deployment, but are still working on achieiving feature parity in the new <a href="https://viewer.catalyst.coop">PUDL Data Viewer</a>. We have <a href="https://github.com/catalyst-cooperative/eel-hole/issues/36">an epic tracking our progress</a>. See issue <a href="https://github.com/catalyst-cooperative/pudl/issues/4481">#4481</a> and PR <a href="https://github.com/catalyst-cooperative/pudl/pull/4605">#4605</a> for the removal of Datasette references within the main PUDL repo.</p> </li> </ul> <h2><strong>Other PUDL v2025.10.0 Resources</strong></h2> <ul> <li><a href="https://catalystcoop-pudl.readthedocs.io/en/v2025.10.0/data_dictionaries/pudl_db.html">PUDL v2025.10.0 Data Dictionary</a></li> <li><a href="https://catalystcoop-pudl.readthedocs.io/en/v2025.10.0/">PUDL v2025.10.0 Documentation</a></li> <li><a href="https://registry.opendata.aws/catalyst-cooperative-pudl/">PUDL in the AWS Open Data Registry</a></li> <li>PUDL v2025.9.1 in a free, public AWS S3 bucket: s3://pudl.catalyst.coop/v2025.10.0/</li> <li>PUDL v2025.9.1 in a requester-pays GCS bucket: gs://pudl.catalyst.coop/v2025.10.0/</li> <li><a href="https://doi.org/10.5281/zenodo.17352325">Zenodo archive of the PUDL GitHub repo for this release</a></li> <li><a href="https://github.com/catalyst-cooperative/pudl/releases/tag/v2025.10.0">PUDL v2025.10.0 release on GitHub</a></li> <li><a href="https://pypi.org/project/catalystcoop.pudl/2025.10.0">PUDL v2025.10.0 package in the Python Package Index (PyPI)</a></li> </ul> <h2><strong>Contact Us</strong></h2> <p><strong>If you're using PUDL, we would love to hear from you!</strong> Even if it's just a note to let us know that you exist, and how you're using the software or data. Here's a bunch of different ways to get in touch:</p> <ul> <li><a href="https://github.com/catalyst-cooperative">Follow us on GitHub</a></li> <li>Use the <a href="https://github.com/catalyst-cooperative/pudl/issues">PUDL Github issue tracker</a> to let us know about any bugs or data issues you encounter</li> <li><a href="https://github.com/orgs/catalyst-cooperative/discussions">GitHub Discussions</a> is where we provide user support.</li> <li>Watch our <a href="https://github.com/orgs/catalyst-cooperative/projects/9">GitHub Project</a> to see what we're working on.</li> <li>Email us at <a href="mailto:hello@catalyst.coop">hello@catalyst.coop</a> for private communications.</li> <li>On Mastodon: <a href="https://mastodon.energy/@catalystcoop">@CatalystCoop@mastodon.energy</a></li> <li>On BlueSky: <a href="https://bsky.app/profile/catalyst.coop">@catalyst.coop</a></li> <li>On Twitter: <a href="https://twitter.com/CatalystCoop">@CatalystCoop</a></li> <li>Connect with us <a href="https://www.linkedin.com/company/catalyst-cooperative/">on LinkedIn</a></li> <li>Play with our data and notebooks <a href="https://www.kaggle.com/catalystcooperative">on Kaggle</a></li> <li>Combine our data with ML models <a href="https://huggingface.co/catalystcooperative">on HuggingFace</a></li> <li>Learn more about us on our website: <a href="https://catalyst.coop">https://catalyst.coop</a></li> <li>Subscribe to our announcements list for <a href="https://catalyst.coop/updates">email updates</a>.</li> </ul>
satmut_utils simulated datasets
<p>Simulated datasets were generated with satmut_utils v1.0.1-dev001. Datasets contain between hundreds to thousands of simulated variants in real CBS alignments.</p>
Data for: BetaScan2: Standardized Statistics to Detect Balancing Selection Utilizing Substitution Data
<p>Genome-wide scan using BetaScan2 in 1KG populations report in:</p> <p><a href="https://pubmed.ncbi.nlm.nih.gov/32011695/">BetaScan2: Standardized Statistics to Detect Balancing Selection Utilizing Substitution Data.</a></p> <p>Siewert KM, Voight BF.Genome Biol Evol. 2020 Feb 1;12(2):3873-3877. doi: 10.1093/gbe/evaa013.</p> <p>PMID: 32011695 </p> <p>Code available at: https://github.com/ksiewert/BetaScan</p>
Data for "Noise-induced servo errors in optical clocks utilizing Rabi interrogation"
<p>Numerical simulation data used for figures in "Noise-induced servo errors in optical clocks utilizing Rabi interrogation" (Metrologia, DOI 10.1088/1681-7575/acdfd4). For some figures, also the analytical results are given. For description of data, see header rows. For details, see the corresponding figure captions in the article.</p>
MCR LTER: Coral Reef: Habitat Utilization and Pairing Patterns of Mutualistic Shrimps and Gobies from 7 Indo-Pacific regions
We analyzed network level specialization for eight Indo-Pacific networks of obligate, mutualistic gobies and shrimps, and elucidated ecological and evolutionary factors driving specialization. To accomplish this we collected and analyzed data on species pairings in Moorea, French Polynesia (lat. -17.49, long. -149.84), Kenting, Taiwan (lat. 21.95, long. 120.76), and Kimbe Bay, New Britain, Papua New Guinea (PNG; lat. -5.50, long. 150.12), and combined these observations with previously published data from Seychelles Islands (Polunin and Lubbock 1977), Great Barrier Reef, Australia (Cummins 1979), Red Sea, Israel (Karplus et al. 1981), Japan (Yanagisawa 1984), and the Gulf of Thailand, Thailand (Nakasone and Manthachitra 1986). We also systematically collected and analyzed habitat data for shrimps and gobies in Moorea, Taiwan, and PNG. We found specialization was affected by variability in habitat use for both gobies and shrimps and by phylogenetic history for shrimps. Habitat use was phylogenetically conserved among shrimp, and thus effects of shrimp phylogeny on partner choice were mediated in part by habitat. By contrast, habitat use and pairing patterns in gobies were not related to phylogenetic history. This asymmetry appears to result from evolutionary constraints on partner use in shrimps and convergence among distantly-related gobies to utilize burrows provided by multiple shrimp species. Results indicate that the evolution of mutualism is affected by life history characteristics that transcend environments and that different factors constrain interactions in disparate ecosystems. These data are associated with this publication: Thompson AR, Adam TC, Hultgren KM, Thacker CE (in press). Ecology and evolution affect network structure in an intimate marine mutualism. The American Naturalist. This is a collection of short term studies spanning 1972 to 2011.
FIG. 4 in A zooarchaeological study of Rangifer tarandus (Linnaeus, 1758) from the Croxton site in Brooks Range, Alaska, and implications for utility analysis
FIG. 4. — Split caribou (Rangifer tarandus (Linnaeus, 1758)) right metatarsal with impacts on opposing surfaces. After being split and discarded, the bone
FIG. 1 in A zooarchaeological study of Rangifer tarandus (Linnaeus, 1758) from the Croxton site in Brooks Range, Alaska, and implications for utility analysis
FIG. 1. — Map showing the locations of the Croxton archaeological site and the modern village of Anaktuvuk Pass along the north slope of the Brooks Mountain Range, Alaska, United States.
Proactive notification to clients of Electric Utility Service in Brazil
<p>A Proactive Notification dataset used to predict the time that will be necessary to fix problems that interrupt the electric supply and identify the clients that potentially will contact the call center in cities of two states of Brazil. This dataset has historical data related to: Occurrence-Client-Complaint and Fail Occurrences.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
FIG. 15. — A in The shell industry in Final Neolithic societies in Sardinia: characterizing the production and utilization of Glycymeris da Costa, 1778 valves
FIG. 15. — A, archaeological shells with use-wear traces on the edge (Cuccuru s'Arriu, Cabras, Italy); B, use-wear traces related to contact with plant matter. Scale bars: A, 5 cm; B, 100 µm.
FIG. 13 in The shell industry in Final Neolithic societies in Sardinia: characterizing the production and utilization of Glycymeris da Costa, 1778 valves
FIG. 13. — Archaeological shells with use-wear traces on the ventral face (Cuccuru s'Arriu, Cabras, Italy) related to contact with an indeterminate mineral matter. Scale bars: A, 5 cm; B, 100 µm.
FIG. 14. — A in The shell industry in Final Neolithic societies in Sardinia: characterizing the production and utilization of Glycymeris da Costa, 1778 valves
FIG. 14. — A, archaeological shells with use-wear traces on the edge (Cuccuru s'Arriu, Cabras, Italy); B, valve with mineral colouring residue on the ventral face, near the upper edge; C, indeterminate use-wear traces; D, valve with use-wear traces (E-H) related to contact with plant matter. Scale bars: A, D, 5 cm; B, C, E-H: 100 µm.
FIG. 6. — A in The shell industry in Final Neolithic societies in Sardinia: characterizing the production and utilization of Glycymeris da Costa, 1778 valves
FIG. 6. — A, working mode; B, results obtained; C, D, experimental shell surface used to process rushes (separation of the stems; 15 minutes); E, working conditions; F, results obtained; G, H, experimental shell surface used to process flax (crushing; 15 minutes). Scale bars: 100 µm.
FIG. 10. — A in The shell industry in Final Neolithic societies in Sardinia: characterizing the production and utilization of Glycymeris da Costa, 1778 valves
FIG. 10. — A, Archaeological shell with use-wear traces (C-D) and red-dye traces (ochre?) (B) on the dorsal face (Cuccuru s'Arriu, Cabras, Italy) related to contact with a mineral matter, clay. Scale bars: A, 5 cm; B, C, D, 100 µm.
FIG. 5. — A, B in The shell industry in Final Neolithic societies in Sardinia: characterizing the production and utilization of Glycymeris da Costa, 1778 valves
FIG. 5. — A, B, working conditions (A, 45° inclination; B, 135° inclination); C, D, experimental shell surface used to process dry hide (scraping with the use of ochre; 15 minutes); E, F, experimental shell surface used to process boxwood (scraping; 15 minutes); G, H, experimental shell surface used to process basswood (scraping; 15 minutes). Scale bars: 100 µm.
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.