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.
4
datasets available to search
ShareScore release 0.9.0
Dataset results
4 results for “EPrints”
Citation data of arXiv eprints and the associated quantitatively-and-temporally normalised impact metrics
<p><strong>Data collection</strong></p> <p>This dataset contains information on the eprints posted on arXiv from its launch in 1991 until the end of 2019 (1,589,006 unique eprints), plus the data on their citations and the associated impact metrics. Here, eprints include preprints, conference proceedings, book chapters, data sets and commentary, i.e. every electronic material that has been posted on arXiv. </p> <p>The content and metadata of the arXiv eprints were retrieved from the arXiv API (https://arxiv.org/help/api/) as of 21st January 2020, where the metadata included data of the eprint’s title, author, abstract, subject category and the arXiv ID (the arXiv’s original eprint identifier). In addition, the associated citation data were derived from the Semantic Scholar API (https://api.semanticscholar.org/) from 24th January 2020 to 7th February 2020, containing the citation information in and out of the arXiv eprints and their published versions (if applicable). Here, whether an eprint has been published in a journal or other means is assumed to be inferrable, albeit indirectly, from the status of the digital object identifier (DOI) assignment. It is also assumed that if an arXiv eprint received <em>c</em><sub>pre</sub> and <em>c</em><sub>pub</sub> citations until the data retrieval date (7th February 2020) before and after it is assigned a DOI, respectively, then the citation count of this eprint is recorded in the Semantic Scholar dataset as <em>c</em><sub>pre</sub> + <em>c</em><sub>pub</sub>. Both the arXiv API and the Semantic Scholar datasets contained the arXiv ID as metadata, which served as a key variable to merge the two datasets.</p> <p>The classification of research disciplines is based on that described in the arXiv.org website (https://arxiv.org/help/stats/2020_by_area/). There, the arXiv subject categories are aggregated into several disciplines, of which we restrict our attention to the following six disciplines: Astrophysics (‘astro-ph’), Computer Science (‘comp-sci’), Condensed Matter Physics (‘cond-mat’), High Energy Physics (‘hep’), Mathematics (‘math’) and Other Physics (‘oth-phys’), which collectively accounted for 98% of all the eprints. Those eprints tagged to multiple arXiv disciplines were counted independently for each discipline. Due to this overlapping feature, the current dataset contains a cumulative total of 2,011,216 eprints. </p> <p>Some general statistics and visualisations per research discipline are provided in the original article (Okamura, 2022), where the validity and limitations associated with the dataset are also discussed.</p> <p> </p> <p><strong>Description of columns (variables)</strong></p> <ul> <li><strong>arxiv_id</strong> : arXiv ID</li> <li><strong>category</strong> : Research discipline</li> <li><strong>pre_year</strong> : Year of posting v1 on arXiv</li> <li><strong>pub_year</strong> : Year of DOI acquisition</li> <li><strong>c_tot</strong> : No. of citations acquired during 1991–2019</li> <li><strong>c_pre</strong> : No. of citations acquired before and including the year of DOI acquisition</li> <li><strong>c_pub</strong> : No. of citations acquired after the year of DOI acquisition</li> <li><strong>c_<em>yyyy</em></strong> (<em>yyyy</em> = 1991, …, 2019) : No. of citations acquired in the year <em>yyyy</em> (with ‘<em>yyyy</em>’ running from 1991 to 2019)</li> <li><strong>gamma</strong> : The quantitatively-and-temporally normalised citation index</li> <li><strong>gamma_star</strong> : The quantitatively-and-temporally standardised citation index</li> </ul> <p><em>Note:</em> The definition of the quantitatively-and-temporally normalised citation index (γ; ‘gamma’) and that of the standardised citation index (γ*; ‘gamma_star’) are provided in the original article (Okamura, 2022). Both indices can be used to compare the citational impact of papers/eprints published in different research disciplines at different times. </p> <p> </p> <p><strong>Data files</strong></p> <p>A comma-separated values file (‘<strong>arXiv_impact.csv</strong>’) and a Stata file (‘<strong>arXiv_impact.dta</strong>’) are provided, both containing the same information.</p> <p> </p>
Engineering Archive's first 1000 posted eprints
<p>The file 'EngineeringArchive_first1000eprints.zip' contains PDFs of the first 1000 eprints (files named using each submission's GUID) submitted to and hosted on Engineering Archive, the eprint server for engineering. The file 'engrxiv-papers.csv' is a listing of the metadata for these 1000 eprints. This represents a snapshot in time of the status of Engineering Archive (engrXiv) on 2020-05-26.</p> <p>The eprint PDFs are the copyrighted works of their respective authors and are licensed as indicated on the associated page on engrxiv.org.</p>
Exonuclease assisted mapping of protein-RNA interactions (ePRINT)
GEO Series GSE266924. Homo sapiens. 4 samples. Type: Other.
Exonuclease assisted mapping of protein-RNA interactions (ePRINT)
GEO Series GSE230097. Homo sapiens. 16 samples. Type: Other.
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.