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3 results for “coauthorship”
Pre-processed PubMed data for a study of coauthorship
<p>This dataset was collected from the PubMed portal to MEDLINE and other repositories of biomedical research (https://www.ncbi.nlm.nih.gov/pubmed/). Analysis of the dataset led to the paper "Effects of research complexity and competition on the incidence and growth of coauthorship in biomedicine", published in PLOS One (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0173444). The raw data were pre-processed using the script "clean.r" in the project directory on GitHub (https://github.com/corybrunson/coauthor) to obtain the file presented here.</p> <p>The dataset is formatted as a data table (https://cran.r-project.org/web/packages/data.table/index.html), a class of data frame in R, and saved as a .RData file, which can be loaded into an R session via `load("path/to/dataset/pmDat.RData")`. The fields are as follows:</p> <ul> <li>`pmid` - the unique publication identifier (PMID) used by PubMed</li> <li>`jid` - the unique journal identifier used by PubMed</li> <li>`issn` - the (print) ISSN of the journal</li> <li>`ym` - the month and year of publication</li> <li>`nau` - the number of authors credited by the publication (up to any limits imposed by PubMed, and counting each author collective as a single author)</li> <li>`cau` - whether any corporate author was credited</li> <li>`rev` - whether the publication was tagged as a review</li> <li>`trial` - whether the publication was tagged as a clinical trial</li> <li>`npmt` - the number of MeSH terms assigned to the publication that were flagged as "major" topics</li> <li>`nmh` - the number of top-level MeSH headings assigned to the publication</li> <li>`supp` - whether the publication was tagged as having received financial support</li> <li>`ng` - the number of grants acknowledged by the publication</li> <li>`co` - the country in which the journal was published</li> </ul> <p>Note that the field values for any publication can be validated by searching for the PMID in PubMed.</p>
DBLP-coauthorship
Open the record for dataset details and reuse information.
Colombia Coauthorship networks divided by openalex lvl 0 concepts
<p>Graphs are uploaded in gml format, which can be easily imported by networkx, gephi and neo4j.</p> <p>The undirected graphs are constructed from openalex database (last update Dic 2022), where nodes are authors and edges specify whether or not two nodes coauthored at least one paper. We avoided papers with more than 10 authors since they are very scarse and could affect the posterior analysis of the networks.</p> <p>The attributes of the nodes consist of the list of used words for each author and its frequency and all the concepts (of every level) the papers of the author are labeld.</p> <p>The attributes of the edges only contains the number of papers published between two authors.</p> <p>For more information about openalex concepts, visit https://docs.openalex.org/api-entities/concepts</p>
ScienceDex guides
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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.