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.

4

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

4 results for “COCI”

Learn how ShareScore rates datasets ↗
zenodo44/100

Crossref metadata of COCI bibliographic resources, as of November 2018 and LCC categories of the ISBN entities in the dataset

<p>The <em>all.zip</em> CSV file (zipped) contains citation counts obtained from the November 2018 dump of COCI (https://doi.org/10.6084/m9.figshare.6741422.v3) and some metadata (title, DOI, number of authors, ISBN, ISBN of the container, type of the bibliographic resource) of the related citing and cited entities obtained by using the Crossref dump downloaded in October 2018 &ndash; which is the same dump used to create the COCI data.</p> <p>In addition, it contains all the Library of Congress Classification (LCC) categories associated with each ISBN in the previous dataset (file <em>isbn_cat_lcc.csv</em>), according to the data retrieved using the services at <a href="http://classify.oclc.org/classify2/api_docs/index.html">http://classify.oclc.org/classify2/api_docs/index.html</a>. Two ancillary mapping files have been also added: one (<em>ddc_to_lcc_mapping.csv</em>) for converting a Dewey Decimal Classification (DDC) categories into LCC categories, in the case the service mentioned above returned only DDC categories for some ISBN; the other (<em>lcc_to_wos_mapping.csv</em>) to map each LCC category into the related <a href="https://images.webofknowledge.com/images/help/WOS/hp_research_areas_easca.html">Web of Science research area</a>.</p>

opencc-zeroSep 2019View details →
zenodo40/100

Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals - DATA PRODUCED

<p>This zipped folders contain all the data produced for the research &quot;Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals&quot;: the results datasets (dataset_map_disciplines, dataset_no_SSH, dataset_SSH, erih_meta_with_disciplines and erih_meta_without_disciplines).</p> <ul> <li> <p><strong>dataset_map_disciplines.zip </strong>contains CSV files with four columns (&quot;id&quot;, &quot;citing&quot;, &quot;cited&quot;, &quot;disciplines&quot;) giving information about publications stored in OpenCitations META (version 3 released on February 2023) and&nbsp; part of&nbsp; SSH journals, according to ERIH PLUS (version downloaded on 2023-04-27), specifying the disciplines associated to them and a boolean value stating if they cite or are cited, according to the OpenCitations COCI dataset (version 19 released on January 2023).</p> </li> <li> <p><strong>dataset_no_SSH.zip </strong>and <strong>dataset_SSH.zip</strong> contain CSV files with the same structure. Each dataset has four columns: &quot;citing&quot;, &quot;is_citing_SSH&quot;, &quot;cited&quot;, and &quot;is_cited_SSH&quot;. &rdquo;Citing&rdquo; and &ldquo;cited&rdquo; columns are filled with DOIs of publications stored in OpenCitations META that according to OpenCitations COCI are involved in a citation. The &quot;is_citing_SSH&quot; and &quot;is_cited_SSH&quot; columns contain boolean values: &quot;True&quot; if the corresponding publication is associated with a SSH (Social Sciences and Humanities) discipline, according to ERIH PLUS,&nbsp; and &quot;False&quot; otherwise. The two datasets are built starting from the two different subsets obtained as a result of&nbsp; the union between OpenCitations META and ERIH PLUS: dataset_SSH comes from erih_meta_with_disciplines and dataset_no_SSH from <strong>erih_meta_without_disciplines. </strong>dataset_no_SSH comes from <strong>erih_meta_with_disciplines.zip</strong> and erih_meta_without_disciplines.zip, as explained before, contain CSV files originating from ERIH PLUS and META. erih_meta_without_disciplines has just one column &ldquo;id&rdquo; and contains the DOIs of all the publications in META that do not have any discipline associated, that is, have not been published on a SSH journal, while erih_meta_with_disciplines derives from all the publications in META that have at least one linked discipline and has two columns: &ldquo;id&rdquo; and &ldquo;erih_disciplines&rdquo;, containing a string with all the disciplines linked to that publication like &quot;History, Interdisciplinary research in the Humanities, Interdisciplinary research in the Social Sciences, Sociology&quot;.</p> </li> </ul> <p>Software:&nbsp;https://doi.org/10.5281/zenodo.8326023</p> <p>Data preprocessed:&nbsp;https://doi.org/10.5281/zenodo.7973159</p> <p>Article:&nbsp;https://zenodo.org/record/8326044</p> <p>DMP:&nbsp;https://zenodo.org/record/8324973</p> <p>Protocol:&nbsp;https://doi.org/10.17504/protocols.io.n92ldpeenl5b/v5</p>

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

Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals - DATA PREPROCESSED

<p>This zipped folders contain all the data preprocessed for the research &quot;Uncovering the Citation Landscape: Exploring OpenCitations COCI, OpenCitations Meta, and ERIH-PLUS in Social Sciences and Humanities Journals&quot;: the cleaned datasets (coci_preprocessed, meta_preprocessed, erih_preprocessed and erih_meta).</p> <ul> <li> <p><strong>coci_preprocessed.zip</strong>: this archive contains CSVs with two columns &ldquo;citing&rdquo; and &ldquo;cited&rdquo;, giving information about publications involved in citations according to the OpenCitations COCI dataset (version 19 released on January 2023), and that are entirely contained in OpenCitations META (version 3 released on February 2023). This means that the citations which have either the citing or the cited entity (or both) not contained in META are excluded from coci_preprocessed dataset.</p> </li> <li> <p><strong>meta_preprocessed.zip</strong>: all the original columns of OpenCitations META are maintained in this dataset, so the CSVs have the columns: &ldquo;id&rdquo;, &ldquo;title&rdquo;, &ldquo;author&rdquo;, &ldquo;issue&rdquo;, &ldquo;volume&rdquo;, &ldquo;venue&rdquo;, &ldquo;page&rdquo;, &ldquo;pub_date&rdquo;, &ldquo;type&rdquo;, &ldquo;publisher&rdquo; and &ldquo;editor&rdquo;. The only difference with the original dataset is that meta_preprocessed in the columns &ldquo;id&rdquo; and &ldquo;venue&rdquo; has respectively just the DOIs and the ISSNs, without all the other identifiers specified for each entity in META.</p> </li> <li> <p><strong>erih_preprocessed.zip</strong>: it contains a&nbsp; CSV file with two columns &quot;venue_id&quot; and &quot;ERIH_disciplines&quot;. &quot;venue_id&quot; is the union of the original columns &quot;Online ISSN&quot; and &quot;Print ISSN&quot; of ERIH_PLUS (version downloaded on 2023-04-27).</p> </li> <li> <p><strong>erih_meta.zip</strong>: it contains CSV files obtained from the union of meta_preprocessed and erih_preprocessed, they have all the columns of meta_preprocessed plus a new column &ldquo;erih_disciplines&rdquo; containing all the disciplines linked to a venue (identified by an ISSN).</p> </li> </ul> <p>&nbsp;</p> <p>Software:&nbsp;https://doi.org/10.5281/zenodo.8326023</p> <p>Data produced:&nbsp;https://doi.org/10.5281/zenodo.7974816</p> <p>Article:&nbsp;https://zenodo.org/record/8326044</p> <p>DMP:&nbsp;https://zenodo.org/record/8324973</p> <p>Protocol:&nbsp;https://doi.org/10.17504/protocols.io.n92ldpeenl5b/v5</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Missing Citations in COCI: Publishers Analytics Result

<p>This dataset contains a JSON&nbsp;file containing the results retrieved through the<a href="http://doi.org/10.5281/zenodo.4735621"> software developed by the authors</a>. We opted for JSON file format to store the obtained data, since this format allows the storage of heterogeneous information in a complex and structured way. The four main structures stored in the present file are:&nbsp;</p> <p>1) &quot;publishers&quot;, a list of dictionaries representing each publisher encountered;</p> <p>2) &quot;citations&quot;, a dictionary containing two lists, the one storing the validated citational data and the other storing the still invalid citational data. Each processed citation&nbsp;is represented as a dictionary.&nbsp;</p> <p>3) &quot;total_num_of_valid_citations&quot;, whose value is the number of citational data that could be validated throughout the process implemented by our software.</p> <p>4)&nbsp;&quot;external_data_for_unrecognized_prefixes&quot;: a dictionary of dictionaries representing the publishers we didn&#39;t find on Crossref, but that were identified through other online services.&nbsp;</p> <p>We used as input material open data from the dataset &ldquo;<a href="http://doi.org/10.5281/zenodo.4625300">Citations to invalid DOI-identified entities obtained from processing DOI-to-DOI citations to add in COCI</a>&rdquo;.&nbsp;&nbsp;</p>

openisc-licenseMay 2021View 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