Downloaded from: https://www.ebsco.com/sites/g/files/nabnos191/files/acquiadam-assets/Jan-Szczepanski-Open-Access-Journals-2018_0.docx
This is a mirror of the RDF dump posted at: http://ma-graph.org/rdf-dumps/ The license provided with this metadata is: Open Data Commons Attribution License (ODC-By) v1.0
Downloaded from: https://grid.ac/downloads
Contains (at least) a list of DOIs cited by various language Wikipedias as of March 2018. Transformed by Charles using lists linked from https://blog.wikimedia.org/2018/04/05/ten-most-cited-sources-wikipedia/
Mirrored from: https://www.arc.gov.au/excellence-research-australia/era-2018-journal-list
This item contains a transformed copy (single gzip'd JSON-per-line file, instead of tarball of xz-zipped JSON per-source files) of the metadata in item https://archive.org/details/core_oa_metadata_20180301. All the same licenses and caveats apply.
Downloaded from http://japanlinkcenter.org/top/material/material_metadata.html
Downloaded from: https://zenodo.org/record/1438356
A mirror of the Unpaywall (aka oaDOI.org) metadata corpus, primarily consisting of public open access flags for a large number of Crossref-registered DOIs (identifiers representing published journal articles and other works). For more information see: http://unpaywall.org/products/snapshot
Bulk Bibliographic Metadata
138
138
Jan 25, 2018
01/18
by
ROAD: Directory of Open Access Scholarly Resources
data
eye 138
favorite 0
comment 0
This is a backup of ROAD/ISSN metadata from http://road.issn.org/en/contenu/download-road-records Dumps in both MARC XML and RDF format are included; see sub-directory for date of download. See also earlier July 2017 dump at: https://archive.org/download/road-issn-2017 These files are under the Creative Commons Attribution-NonCommercial 4.0 International Public License (aka, CC-BY-NC).
Topic: metadata
This is a mapping between: - DOIs (Crossref) - PubMed PMID and PMCID (NIH) - CORE record identifier (core.ac.uk) - Wikidata QIDs See README and scripts for details.
This item contains a snapshot of the "Norwegian Register for Scientific Journals, Series and Publishers", as downloaded from https://dbh.nsd.uib.no/publiseringskanaler/AlltidFerskListe. As the name indicates, this is a registry of international Journals (aka "titles", or "serials"); the scope is not limited to Norwegian or Nordic publications.
This item contains a set of "Keeper's Reports" summarizing journal content preservation coverage from major archival services and networks (Portico, LOCKSS, CLOCKSS). See README for links to where these files were downloaded from.
Topics: Keeper's Reports, Metadata, Preservation
This is a snapshot of the AI2 (Semantic Scholar') "Open Research Corpus", as release May 3rd, 2018. These files originally downloaded from AWS S3, via: http://labs.semanticscholar.org/corpus/ Note restrictions in the 'license.txt' file. 'index.html' is a backup of the landing page, that includes field content. 'sample-S2-records.gz' is a subset of the data useful for exploration. Semantic Scholar is a project of the Allen Institute for Artificial Intelligence.
Data mirrored from https://europepmc.org/downloads Contains a mapping between PubMed IDs (PMID), PubMedCentral IDs (PMCID), and DOI numbers, for over 29 million works.
Downloaded from https://doaj.org/csv and the OAI-PMH interface. File names encode the date when data was downloaded.
This item contains a copy of the 2018-09-03 snapshot of bibliographic metadata extracted from Wikidata. These datasets downloaded from: http://uri.gbv.de/wikicite/20180903/ More information at: https://github.com/wikicite/wikicite-data#readme and http://wikicite.org/
Data-munged title-level metadata combined from: DOAJ, ROAD, Norwegian Register, and Internet Archive crawled metadata. See SOURCES.md for URLs of upstream metadata, and ISSN_matching.html for Jupyter notebook used to derive this dataset.
Downloaded from https://core.ac.uk/services "The data aggregated from repositories by the CORE system can be accessed in two ways, through the CORE API or by downloading the data to your computer. The former option is practical if you want to build a service on top of CORE while the latter is something we recommend to those who would like to analyse the CORE dataset and/or apply some computationally intensive batch processes. If you use CORE in your work, we kindly request you to cite one...
This file is a snapshot dump of the Crossref DOI metadata API, containing entries for over 99 million DOIs. This was generated by running the scripts at: https://github.com/greenelab/crossref (git commit: 768a49ba1d8ba1971f00471950514716a9f699c8) The script completed on 2018-09-20. Format is xz-compressed JSON (one JSON object per line).
This file is a snapshot dump of the Crossref DOI metadata API, containing entries for over 94 million DOIs. Compared to the previous 2017-03 version (see archive.org item "crossref_doi_dump_201703"), this snapshot has a few million more works, but the corpus size is much larger (29 GB compressed vs. 7 GB compressed) as it now contains significantly more citation data, due to the efforts of the Initiative for Open Citations (I4OC) project. This was generated by running the scripts...