8 imported datasets found

Organizations: TIB Formats: ZIP Object Type: vdataset

Filter Results
  • Leibniz University Hannover

        Imported    

    Integration of Systematic Review Services with a Scholarly Knowledge Graph (D...

    Supplementary data for the MSc thesis Schiepanski, T. (2023). Integration of Systematic Review Services with a Scholarly Knowledge Graph. Leibniz University Hannover.
  • Leibniz University Hannover

        Imported    

    Trav-SHACL: Benchmarks, Experimental Settings, and Evaluation

    This collection includes all the data and scripts necessary to reproduce the results from the experimental evaluation of Trav-SHACL at WWW'21. The data is modified data from the...
  • Leibniz University Hannover

        Imported    

    STEM-NER-60k

    A Large-scale Dataset of STEM Science as PROCESS, METHOD, MATERIAL, and DATA Named Entities This repository hosts data as a follow-up study to the following publications...
  • Leibniz University Hannover

        Imported    

    STEM-ECR-v1.0

    Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources The STEM ECR v1.0 dataset has been developed to provide...
  • Leibniz University Hannover

        Imported    

    SlideImages

    Please note: this archive requires support for dangling symlinks, which excludes the Windows operating system. To use this dataset, you will need to download the MS COCO 2017...
  • Leibniz University Hannover

        Imported    

    SaL - Dataset

    If you use our data please cite this submission: @inproceedings{DBLP:conf/chiir/OttoRPGH0HHDHKE22, author = {Christian Otto and Markus Rokicki and...
  • Leibniz University Hannover

        Imported    

    First NFDI4Chem User Survey

    NFDI4Chem Online Survey 2019 Dataset In preparation of the NFDI4Chem proposal for the National Research Data Infrastructure in 2019 the NFDI4Chem team conducted a online survey...
  • Leibniz University Hannover

        Imported    

    A Neural Approach for Text Extraction from Scholarly Figures

    A Neural Approach for Text Extraction from Scholarly Figures This is the readme for the supplemental data for our ICDAR 2019 paper. You can read our paper via IEEE here:...
You can also access this registry using the API (see API Docs).