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Name
RepOD
Type
Data Repository
Items
30 Research Data
Compatibility
OpenAIRE Data (funded, referenced datasets)
OAI-PMH
https://repod.pon.edu.pl/oai
More information
Detailed data provider information (Re3data)

 

  • No data provider publications found
  • GROTOAP-citations

    Tkaczyk, Dominika (2015)
    Publisher: RepOD
    Projects: EC | OPENAIREPLUS (283595)
    GROTOAP2-citations (GROund Truth for Open Access Publications) is a dataset useful for training and performance evaluation of citation parsing. The dataset was built automatically from Cora-ref and PubMed Central Open Access Subset resources. It contains 6,858 parsed citations, storing both the raw citation strings as well as fragments marked as authors, title, source, volume, issue, pages and year.

    GROTOAP

    A test set useful for training and performance evaluation of page segmentation and zone classification tasks. The test set contains input articles in a digital form and corresponding ground truth files. All input documents included in the test set have been selected from DOAJ database, which indexes articles published under CC-BY license. The whole test set is available under the same license.

    Raw X-ray diffraction data for human muscle aldolase

    X-Ray synchrotron diffraction data for human muscle aldolase, crystallized in 1.6M ammonium citrate tribasic. The diffraction images were collected to the resolution of 1.94 Å at the BESSY beamline 14.2 in Berlin at 100K using a MX-225 detector. The data was recorded using X-ray wavelength 0.9184 Å with oscillation angle 0.5° and crystal-to-detector distances 180mm.

    Calcium removal in hemodialysis

    Data included in this collection are connected with the article "Quantification of Dialytic Removal and Extracellular Calcium Mass Balance during a Weekly Cycle of Hemodialysis" in PLOS ONE.

    GROTOAP-affiliations

    GROTOAP2-affiliations (GROund Truth for Open Access Publications) is a dataset useful for training and performance evaluation of affiliations parsing. The dataset was built automatically from PubMed Central Open Access Subset resources. It contains 8267 parsed affiliations, storing both the raw affiliation strings as well as fragments marked as institution, address and country.
  • Latest Documents Timeline

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    Projects with most Research Data

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