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
Dataset results
7,195 results for “SET”
Data set for paper: "Numerical analysis of plastic deformation evolution in polycrystalline copper during cyclic loading with different frequencies"
<p>The dataset contains information necessary for performing the numerical analysis presented in the related paper. The input data are suited for the finite element code Z-set (http://www.zset-software.com/). The resulting data from the numerical calculations and source data for paper figures can be used for further analysis. These data are provided in ASCII format in text files and can be processed by any relevant software.</p>
PIRFIRE 24 hidden test set
<p>Hidden test set for the PIRFIRE 2024 task. It has all the fields as the original dataset, with the exception of relevant documents labels and the qrels. The labels will be made public in future. You can use all the metadata from the original version of the dataset.</p>
Electronic structure properties of the SmartNanoTox data set (nanomaterials) for the use of meta models assesing cytotoxicity
<p>Important set of electronic structure properties data on the SmartNanoTox dataset consisting of large molecular systems representing coated materials. The data were used to study lung inflammation within a service offered through EU Horizon 2020 NanoCommons project.</p>
Additional material for study: Variation in quality of hypertension guidelines across income settings using the AGREE II tool- a scoping review.
<p>Contains below additional materials:</p> <ol> <li>Dataset showing summary of scores for each guideine assessed within the study: An assessment of variation in quality of hypertnesion guidelines across income settings using the AGREE II tool.</li> <li>PRISMA Scoping Review Checklist</li> </ol> <p> </p>
Data Sets for: Spiers Memorial Lecture: From Cold to Hot, The Structure and Structural Dynamics of Dense Ionic Fluids
<p>Data Sets for Section 2.1 of Article: Spiers Memorial Lecture: From Cold to Hot, The Structure and Structural Dynamics of Dense Ionic Fluids</p>
Data set related to the manuscript entitled "Paleo-ocean and Evolution of Mars Revealed by Seismic Crustal Stratigraphy"
<p><strong>Detailed calculation results of rock physics modeling and other technical details for manuscript of</strong> <strong>“Paleo-ocean and Evolution of Mars Revealed by Seismic Crustal Stratigraphy”</strong></p>
Fig. 5 Braula coeca ventral receptacle, stained with chlorazol black E in Setting the records straight II: "single spermatheca" of Braula coeca (Diptera: Braulidae) is really the ventral receptacle
Fig. 5 Braula coeca ventral receptacle, stained with chlorazol black E. ep epithelium, sp spermatozoa. Bar: 20 μm
Fig. 2 in Setting the records straight II: "single spermatheca" of Braula coeca (Diptera: Braulidae) is really the ventral receptacle
Fig. 2 Braula coeca female reproductive tract, fresh dissections, lateral aspect. a With ovaries and mature egg inside the vagina. b With empty vagina. ce cerci, co common oviduct, hg hindgut, ov ovarioles, sp/ag
A collection of public transport network data sets for 25 cities
<p>This dataset describes the public transport networks of 25 cities across the world in multiple easy-to-use data formats. These data formats include network edge lists, temporal network event lists, SQLite databases, GeoJSON files, and General Transit Feed Specification (GTFS) compatible ZIP-files.<br> <br> The source data for creating these networks has been published by public transport agencies according to the GTFS data format. To produce the network data extracts for each city, the original data have been curated for errors, filtered spatially and temporally and augmented with walking distances between public transport stops using data from OpenStreetMap. <br> <br> Cities included in this dataset version: Adelaide, Belfast, Berlin, Bordeaux, Brisbane, Canberra, Detroit, Dublin, Grenoble, Helsinki, Kuopio, Lisbon, Luxembourg, Melbourne, Nantes, Palermo, Paris, Prague, Rennes, Rome, Sydney, Toulouse, Turku, Venice, and Winnipeg.</p> <p>Contrary to the version 1.0 of this data set, this version (1.2) does not include the cities of Antofagasta and Athens, for which non-commercial usage of the data is not allowed.<br> <br> Contrary to previous versions of the data set (1.0 and 1.2), in this version (1.2) the temporal filtering of the data has been slightly adapted, so that the daily and weekly data extracts cover all trips departing between from 03 AM on Monday to 03 AM on Tuesday (daily extract) or 03 AM of the Monday next week (weekly extract). Additionally, a temporal network extract covering a full week of operations has been added for each city.<br> <br> Documentation of the data can be found in the Data Descriptor article published in Scientific Data: http://doi.org/10.1038/sdata.2018.89 <br> When using this dataset, please cite also the above-mentioned paper.</p>
Set of selected compounds against DRAK2 kinase
<p>https://opennotebook.thesgc.org/first-set-of-selected-compounds-against-drak2-kinase/</p>
TAIL-seq for X. laevis wild-type early embryos replicate set #1 (internal ID: hs27, part 4/12)
<p>This dataset contains the raw sequencing data from a TAIL-seq run for Xenopus laevis embryos. The cluster intensities of fluorescence signals are repacked as an HDF5 formatted file, then split into multiple parts to fit in the dataset size limitation of the Zenodo.</p>
TAIL-seq for X. laevis wild-type early embryos replicate set #1 (internal ID: hs27, part 9/12)
<p>This dataset contains the raw sequencing data from a TAIL-seq run for Xenopus laevis embryos. The cluster intensities of fluorescence signals are repacked as an HDF5 formatted file, then split into multiple parts to fit in the dataset size limitation of the Zenodo.</p>
TAIL-seq for X. laevis wild-type early embryos replicate set #1 (internal ID: hs27, part 8/12)
<p>This dataset contains the raw sequencing data from a TAIL-seq run for Xenopus laevis embryos. The cluster intensities of fluorescence signals are repacked as an HDF5 formatted file, then split into multiple parts to fit in the dataset size limitation of the Zenodo.</p>
TAIL-seq for X. laevis wild-type early embryos replicate set #1 (internal ID: hs27, part 5/12)
<p>This dataset contains the raw sequencing data from a TAIL-seq run for Xenopus laevis embryos. The cluster intensities of fluorescence signals are repacked as an HDF5 formatted file, then split into multiple parts to fit in the dataset size limitation of the Zenodo.</p>
TAIL-seq for X. laevis wild-type early embryos replicate set #1 (internal ID: hs27, part 6/12)
<p>This dataset contains the raw sequencing data from a TAIL-seq run for Xenopus laevis embryos. The cluster intensities of fluorescence signals are repacked as an HDF5 formatted file, then split into multiple parts to fit in the dataset size limitation of the Zenodo.</p>
TAIL-seq for X. laevis wild-type early embryos replicate set #1 (internal ID: hs27, part 10/12)
<p>This dataset contains the raw sequencing data from a TAIL-seq run for Xenopus laevis embryos. The cluster intensities of fluorescence signals are repacked as an HDF5 formatted file, then split into multiple parts to fit in the dataset size limitation of the Zenodo.</p>
TAIL-seq for X. laevis wild-type early embryos replicate set #1 (internal ID: hs27, part 1/12)
<p>This dataset contains the raw sequencing data from a TAIL-seq run for Xenopus laevis embryos. The cluster intensities of fluorescence signals are repacked as an HDF5 formatted file, then split into multiple parts to fit in the dataset size limitation of the Zenodo.</p>
TAIL-seq for X. laevis wild-type early embryos replicate set #1 (internal ID: hs27, part 11/12)
<p>This dataset contains the raw sequencing data from a TAIL-seq run for Xenopus laevis embryos. The cluster intensities of fluorescence signals are repacked as an HDF5 formatted file, then split into multiple parts to fit in the dataset size limitation of the Zenodo.</p>
TAIL-seq for X. laevis wild-type early embryos replicate set #1 (internal ID: hs27, part 2/12)
<p>This dataset contains the raw sequencing data from a TAIL-seq run for Xenopus laevis embryos. The cluster intensities of fluorescence signals are repacked as an HDF5 formatted file, then split into multiple parts to fit in the dataset size limitation of the Zenodo.</p>
TAIL-seq for X. laevis wild-type early embryos replicate set #1 (internal ID: hs27, part 7/12)
<p>This dataset contains the raw sequencing data from a TAIL-seq run for Xenopus laevis embryos. The cluster intensities of fluorescence signals are repacked as an HDF5 formatted file, then split into multiple parts to fit in the dataset size limitation of the Zenodo.</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.