Skip to main content
Powered by ShareScore

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.

7,195

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

7,195 results for “SET”

Learn how ShareScore rates datasets ↗
zenodo32/100

Mobility and persistence of pesticides and emerging contaminants in age-dated and redox-classified groundwater under a range of land use types [data set]

<p>Data set covering measured pesticides and emerging contaminants, the tritium and noble gas data and metadata for which the results are discussed in the publication in Science of the Total Environment (2024); doi: 10.1016/j.scitotenv.2024.176344</p>

opencc-by-nc-4.0Sep 2024View details →
zenodo32/100

Data Set - Seasonal variability in the global relevance of mountains to satisfy lowland water demand

<p>GENERAL INFORMATION</p> <p>The data and scripts used for the analysis of the manuscript "Seasonal variability in the global relevance of mountains to satisfy lowland water demand"</p> <p><strong>When using this dataset, please refer to the original publication in addition to this Zenodo repository.</strong></p> <p>DATA &amp; FILE OVERVIEW</p> <p>please have a look at readme.txt&nbsp;</p> <p>Don't hesitate to contact us in case of any questions (sarah.hanus@geo.uzh.ch)</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction

<p>Data and trained models for the manuscript <em>varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction.</em></p>

openmit-licenseSep 2024View details →
zenodo32/100

Tapisserie - The heddles set up

<p>&Iota;mages from lessons taught to students in Aubusson about tapestry.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

EEG Data from a Within-Subjects Study Comparing P300 Speller Performance with Different Electrode Sets

<p>The dataset contains EEG data of 10 participants who completed a P300 speller task with different electrode sets.</p> <p>4 different electrode sets were used:</p> <ul> <li>4-electrode set: Pz, POz, P7 and P8</li> <li>6 -electrode set: Pz, POz, P3, P4, O1 and O2</li> <li>8-electrode set: Cz, Pz, POz, P3, P4, O1, O2 and Oz</li> <li>16-electrode set: FC1, FC2, C3, C4, Cz, CP1, CP2, Pz, POz, P3, P4, P7, P8, O1, O2 and Oz</li> </ul> <p>Each participant completed 3 runs of the speller (i.e. copy-spelled 3 words) with each electrode set. 10 flashes per row and column were used for the first run of each set, 5 for the second run, and 3 for the third run. The order of the electrode sets was randomised. Subjects 1 to 5 completed the experiment in an office location with natural light, Subjects 6 to 10 completed the experiment in a different office location with artificial light.</p> <p>An LDA classifier was trained on 2 calibration runs for each electrode set. For the 8-electrode set, an xDAWN spatial filter was used to reduce the 8 channels to 2 xDAWN components. For the 16-electrode set, an xDAWN spatial filter was used to reduce the 16 channels to 3 xDAWN components.</p> <p>Each participant folder contains:</p> <ul> <li>calibration-signal[1/2/s].ov - unprocessed EEG signals from P300 speller runs used to calibrate the BCI (i.e. train the LDA classifier and xDAWN spatial filter, where applicable), in Openvibe (.ov) file format, see details below</li> <li>run-[x]-raw-[y].[ov/mat] &ndash; unprocessed EEG signals from [y] electrodes for a P300 speller run with [x] flashes per row and column in Openvibe (.ov) and Matlab (.mat) file formats, see details of the runs below</li> <li>classifier[y].cfg - LDA classifier weights for [y] electrodes</li> <li>spatial-filter[y].cfg - xDAWN spatial filter weights for [y] electrodes (xDAWN spatial filter only used for the 8- and 16-electrode sets)</li> <li>log.txt - contains the performance in the P300 speller runs for all electrode sets</li> </ul> <p>The .ov and .mat files contain data from the following runs:</p> <table> <tbody> <tr> <th>Filename</th> <th>Word to be copy-spelled</th> <th>Number of flashes per row and column</th> <th>Number of electrodes used</th> <th>Feedback given to participant</th> </tr> <tr> <td>calibration-signal1</td> <td>THE</td> <td>12</td> <td>16</td> <td>no</td> </tr> <tr> <td>calibration-signal2</td> <td>QUICK</td> <td>12</td> <td>16</td> <td>no</td> </tr> <tr> <td>calibration-signals</td> <td>Concatenation of calibration-signal1 and calibration-signal2</td> <td>&nbsp;</td> <td>&nbsp;</td> <td>&nbsp;</td> </tr> <tr> <td>run-[x]-raw-[y]</td> <td>DANCE</td> <td>x</td> <td>y</td> <td>yes</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>This research is supported by the Irish Research Council under project ID GOIPG/2020/692 and Science Foundation Ireland under grant number 12/RC/2289_P2.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

ArcGIS GDB for CPBS Report 23UCB01 - A Context-sensitive Street Classification Framework for Speed Limit Setting

<p>ArcGIS .gdb geodatabase files and a data dictionary in Excel format.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Many-Body Models for Chirality-Induced Spin Selectivity in Electron Transfer. Open data set

<p>Data supporting the original figures 1, 2, 3 and 4 of the related publication.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Age of stratospheric air: observational data sets (v2)

<p>This dataset of mean stratospheric age of air is a compilation of data calculated from trace gas observations of CO2 and SF6 on Satellite, Aircraft and Balloon platforms.It provides 1) zonal mean monthly mean values from satellite data, 2) climatological data for different latitude bands from aircraft and balloon data, and 3) the time-series of mean age of air in the northern mid-latitude mid-stratosphere (updating Engel et al, 2009, 2017). Moreover, input data for the calculation of mean age of air from trace gases is provided (reference time series and ratio of moments).&nbsp;</p> <p>New in Version 2: addition of climatology from aircraft data at 20 km, binned in 5&deg; latitude bins.</p> <p>This data set is a supplement to Garny et al, 2024: "<u>Age of stratospheric air: Progress on processes, observations and long-term trends</u>" (Review of Geophysics, accepted). See Readme for more information.</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Enhancing Student Academic Performance Through The Implementation of Dynamic Gamification in Educational Settings

<p><span>Dynamic gamification is a gamification strategy that uses features and game mechanics that are flexible and adaptive to engage users in a variety of tasks. Dynamic gamification, in contrast to traditional gamification, allows for real-time modification of game features in response to user behavior or other circumstances. This study aims to show whether incorporating dynamic gamification enhances students' academic achievement. Numerous factors, such as motivation, learning engagement, academic achievement, relevance, confidence, and satisfaction, will be tested in order to advance the objectives of this study. In this research, a non-probability purposive sampling strategy was used. </span><span>An online questionnaire is distributed from March 23 until May 2, 2024 which featured 477 participants from all around Indonesia. However, only 400 respondents are considered valid, as the respondents must either comprehend the concept of gamification or have prior experience using gamification. The results stated that ten out of ten hypotheses had significant effect.<span>&nbsp; </span><span>&nbsp;</span></span></p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Reliability of plastid and mitochondrial localisation prediction declines rapidly with the evolutionary distance to the training set increasing

<p>Raw data and scripts for 'Reliability of plastid and mitochondrial localisation prediction declines rapidly with the evolutionary distance to the training set increasing' submitted to PLOS Computational Biology</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Search strategies for a systematic review of tools used for costing outbreaks in acute hospital settings

<p>The dataset includes the complete, reproducible search strategies for all bibliographic databases searched during this project. The search strategies were designed to answer the following research question:&nbsp;</p> <p><span>What costing tools have been developed for use by healthcare workers to measure resource utilisation (and or cost data) attributable to outbreaks in acute hospitals from the healthcare perspective?&nbsp;</span></p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

EPA and NR-DBIND data sets from the publication Sellami et al., 2024

<h3><strong>The directory is protected by a password until the associated publication is accepted. The directory will be available as open access once the publication is accepted.</strong></h3> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2024View details →
zenodo32/100

Initial tractions data set for simulations presented in Figure 6

<p>Initial tractions data set for simulations presented in Figure 6 in the paper with the title "<span>3D Dynamic Rupture Simulations for the Expected Main Marmara Fault Earthquake in the Sea of Marmara Based on the Inter-seismic Strain Accumulation</span>"</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Liver transcriptome analysis reveals PSC-attributed gene set associated with fibrosis progression

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
zenodo32/100

Coadsorption of ZnTPP and 2HMCTPP on Rutile TiO2(110) Data Set

<p>Raw data and evaluation files to the publication</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Design and preliminary set-up of an experimental apparatus for continuous measurement of soil – gas pressure fluctuations in active seismogenic environments

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2024View details →
zenodo32/100

TABLE 2 in Setting the record straight: a re-examination of ants (Hymenoptera: Formicidae) from Cyprus deposited at the Museum of Zoology of Athens

<p><b>TABLE 2.</b> Dubious species included in the checklist of Georgiadis <i>et al.</i> (2017) alongside notes on misidentifications. Species presented as new to Cyprus according to Georgiadis <i>et al.</i> (2017) are denoted with an asterisk (*).</p><table><tbody><tr><th>Species</th><th>Notes</th></tr></tbody><tbody><tr><th><i>Tapinoma</i> cf. <i>sessile</i> <i>*</i></th><td>no specimens with such label found in the examined material. Probably referring to a <i>T. phoeniceum</i> misidentified in the collection as <i>Tapinoma</i> cf. <i>semileve</i></td></tr><tr><th><i>Tapinoma erraticum *</i></th><td>misidentification of <i>T. glabrella</i>, <i>T. phoeniceum</i> and <i>L. cyperus</i></td></tr><tr><th><i>Tapinoma simrothi</i></th><td>misidentification of <i>T. festae</i>, <i>T. phoeniceum</i> and <i>P. pallescens</i></td></tr><tr><th><i>Tapinoma simrothi phoeniceum</i></th><td>no specimens with such label found in the examined material</td></tr><tr><th><i>Camponotus aethiops *</i></th><td>misidentification of <i>C. sanctus</i></td></tr><tr><th><i>Camponotus baldaccii</i></th><td>misidentification of <i>C. cecconii</i></td></tr><tr><th><i>Camponotus</i> cf. <i>universitatis</i> <i>*</i></th><td>no specimens with such label found in the examined material</td></tr><tr><th><i>Camponotus lateralis cypridis</i></th><td>no specimens with such label found in the examined material</td></tr><tr><th><i>Cataglyphis aenescens</i></th><td>misidentification of <i>C. aphrodite</i></td></tr><tr><th><i>Cataglyphis albicans</i></th><td>no specimens with such label found in the examined material</td></tr><tr><th><i>Cataglyphis noda</i></th><td>misidentification of <i>C. aphrodite</i></td></tr><tr><th><i>Lasius emarginatus *</i></th><td>misidentification of <i>L. cyperus</i></td></tr><tr><th><i>Lasius umbratus *</i></th><td>misidentification of <i>L. cyperus</i></td></tr><tr><th><i>Nylanderia jaegerskioeldi *</i></th><td>misidentification of <i>P. longicornis</i></td></tr><tr><th><i>Plagiolepis ampeloni</i></th><td>misidentification of <i>P. perperamus</i></td></tr><tr><th><i>Plagiolepis taurica *</i></th><td>misidentification of <i>P.pallescens and P. xene</i></td></tr><tr><th><i>Aphaenogaster lesbica *</i></th><td>misidentification of <i>A. syriaca</i></td></tr><tr><th><i>Aphaenogaster simonelli</i></th><td>misidentification of <i>A. sporadis</i> and <i>A. syriaca</i></td></tr><tr><th><i>Aphaenogaster subterranea *</i></th><td>misidentification of <i>C.</i> cf. <i>ionia</i></td></tr><tr><th><i>Crematogaster jehovae</i></th><td>misidentification of <i>C.</i> cf. <i>ionia</i>, <i>C. cypria</i> and <i>C. lortetti</i></td></tr><tr><th><i>Crematogaster jehovae cypria *</i></th><td>currently treated as an obsolete combinationof <i>C. cypria</i></td></tr><tr><th><i>Crematogaster sordidula</i></th><td>misidentification of <i>C.</i> cf. <i>ionia</i>, <i>C. cypria</i> and <i>C. inermis</i></td></tr><tr><th><i>Messor alexandri</i></th><td>misidentification of <i>M. orientalis</i></td></tr><tr><th><i>Messor ebeninus *</i></th><td>no specimens with such label found in the examined material</td></tr><tr><th><i>Messor intermedius</i></th><td>misidentification of <i>M.bucephalus</i></td></tr><tr><th><i>Messor meridionalis</i></th><td>misidentification of <i>M.bucephalus</i>, <i>M. orientalis</i> and <i>T. perplexus</i></td></tr><tr><th><i>Messor oertzeni</i></th><td>misidentification of <i>T. perplexus</i></td></tr><tr><th><i>Messor structor</i></th><td>misidentification of <i>A. sporadis</i>, <i>M. bucephalus</i>, <i>M. orientalis</i> and <i>P. koshewnikovi</i></td></tr><tr><th><i>Messor wasmanni</i></th><td>misidentification of <i>M. bucephalus</i>, <i>M. orientalis</i> and <i>T. perplexus</i></td></tr><tr><th><i>Monomorium</i> cf. <i>dentigerum</i> <i>*</i></th><td>misidentification of <i>T. kykkos</i></td></tr><tr><th><i>Monomorium dentigerum *</i></th><td>misidentification of <i>T.perplexus</i></td></tr><tr><th><i>Monomorium nitidiventre</i></th><td>misidientification of <i>M. bicolor</i>, <i>M. subopacum</i>, <i>P. koshewnikovi</i>, <i>T. recedens</i>, <i>T. indocile</i> and <i>T. perplexus</i></td></tr><tr><th><i>Pheidole pallidula</i></th><td>misidentification of <i>Lepisiota</i> sp., <i>A. splendida</i>, <i>P. indica</i>, <i>P. koshewnikovi</i>, <i>T. recedens</i>, <i>T.</i> cf. <i>flavidulum</i> and <i>T. perplexus</i></td></tr><tr><th><i>Solenopsis fugax Solenopsis fugax cypridis</i></th><td>one specimen identified as <i>S.</i> cf. <i>cypridis</i></td></tr><tr><th><i>Temnothorax graecus</i></th><td>no specimens with such label found in the examined material</td></tr><tr><th><i>Tetramorium rhodium</i></th><td>misidentification of <i>A. sporadis</i></td></tr><tr><th><i>Hypoponera eduardi</i></th><td>no specimens with such label found in the examined material</td></tr></tbody></table>

opennotspecifiedOct 2024View details →
zenodo32/100

Data set: Modeling of Magnesium Intercalation into Chevrel Phase Mo6S8: Report on improved cell design.

<p>Dataset of the continuum simulations generated and used within the paper "<span>Modeling of Magnesium Intercalation into Chevrel Phase Mo</span><span>6</span><span>S</span><span>8</span><span>: Report on improved&nbsp;cell design</span>", published in <span>Batteries &amp; Supercaps</span><br>&nbsp;(<span>2023</span><span>, </span><span>6 (5)</span><span>, e202200562</span>, DOI: <span>10.1002/batt.202200562</span>).</p> <p><span>A good understanding of the limiting processes in rechargeable magnesium batteries is key to develop novel highcapacity/high-voltage cathode materials. Thereby, the performance of magnesiumion batteries can strongly depend on the morphology of the intercalation cathode. Moreover, high mass loadings are essential for commercialization. In this work the influence of different mass loadings are studied in addition to the impact of the particle size distribution of the active material. Therefore, a detailed continuum model is developed, which is able to describe the complex intercalation of magnesium into a Chevrel phase (CP)&nbsp;cathode. The model considers the thermodynamics, kinetics and interplay of the two energetically different intercalation sites of Mo</span><span>6</span><span>S</span><span>8</span><span>, which results from its unique crystal structure, as well as the impact of the desolvation on the electrochemical reactions and possible ion agglomeration. Ideal combinations of mass loading and electrolyte concentration as well&nbsp;as the desired CP particle size are determined for the state-of-the-art magnesium tetrakis(hexafluoroisopropyloxy)borate Mg[B(hfip)</span><span>4</span><span>]</span><span>2 </span><span>electrolyte.</span>&nbsp;</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

Data set and simulation code for "Static workspace computation for underactuated cable-driven parallel robots"

<p>See the attached readme file</p>

opencc-by-4.0Dec 2023View details →
zenodo32/100

Data Set: "From structure to electrochemistry: The Influence of Transition Metal Ordering on Na+/vacancy Orderings in P2-type NaxMO2 Cathode Materials for Sodium-Ion Batteries"

<p>This is the data set associated with the following publication:&nbsp;<strong>From structure to electrochemistry: The Influence of Transition Metal Ordering on Na+/vacancy Orderings in P2-type NaxMO2 Cathode Materials for Sodium-Ion Batteries,</strong> Lukas Fridolin Pfeiffer, Manuel Dillenz, Nora Burgard, Premysl Beran, Daniel Roscher, Maider Zarrabeitia, Paul Drews, Charles Hervoches, Daria Mikhailova, Ahmad Omar, Volodymyr Baran, Neelima Paul, Mohsen Sotoudeh, Michael Busch, Margret Wohlfahrt-Mehrens, Axel Gro&szlig;, Stefano Passerini, Peter Axmann<em>, Journal of Materials Chemistry A, 2024, DOI: 10.1039/d4ta04786a<br></em></p> <p>The data set is organised along the figures of the publication.</p>

opencc-by-4.0Oct 2024View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.