Search epidemiology and medical biometry/statistics data collections and supporting datasets from USA.
The Danish National Birth Cohort is a research data collection open to researchers with research ideas requiring prospectively collected data from pregnancy and childhood. Its site provides information on applying for access, an overview of available data, publications, and interview questionnaires, and lists response rates and acknowledgement guidance.
Search humanities and social data collections and supporting image from NLD.
Browse research datasets and datasets related to history.
Dataset repository covering astrophysics and astronomy, with searchable geospatial data.
The Saccharomyces Genome Database (SGD) is a resource providing integrated biological information for the budding yeast Saccharomyces cerevisiae. It offers search and analysis tools for exploring these data, supporting the discovery of functional relationships between sequence and gene products in fungi and higher organisms. Gene pages include literature, interaction, protein and regulation information.
SNAP is a general purpose network analysis and graph mining library written in C++ that scales to large graphs and supports node and edge attributes. Snap.py provides a Python interface with most of the SNAP C++ functionality. The project also offers the Stanford Large Network Dataset Collection, a set of network datasets.
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The Danish National Birth Cohort is a research data collection open to researchers with research ideas requiring prospectively collected data from pregnancy and childhood. Its site provides information on applying for access, an overview of available data, publications, and interview questionnaires, and lists response rates and acknowledgement guidance.
Search humanities and social data collections and supporting image from NLD.
Browse research datasets and datasets related to history.
Dataset repository covering astrophysics and astronomy, with searchable geospatial data.
The Saccharomyces Genome Database (SGD) is a resource providing integrated biological information for the budding yeast Saccharomyces cerevisiae. It offers search and analysis tools for exploring these data, supporting the discovery of functional relationships between sequence and gene products in fungi and higher organisms. Gene pages include literature, interaction, protein and regulation information.
SNAP is a general purpose network analysis and graph mining library written in C++ that scales to large graphs and supports node and edge attributes. Snap.py provides a Python interface with most of the SNAP C++ functionality. The project also offers the Stanford Large Network Dataset Collection, a set of network datasets.
