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Scientific Data

A peer-reviewed, open-access journal for descriptions of datasets, and research that advances the sharing and reuse of scientific data.

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Scientific Data

Behind the Paper

GCN250, the first high resolution global data set for runoff curve numbers

In 2018, Scientific Data published the first global soils data set (HYSOGs250m) that can be directly used for curve-number (CN)-based runoff modeling. While the CN method was developed in the United States by the Department of Agriculture (USDA), it’s international adaptation has quickly grown.

Hadi Jaafar

Aug 12, 2019

Computational Approaches to Support Identification of Chemicals in the Environment

Scientific Data

Behind the Paper

Computational Approaches to Support Identification of Chemicals in the Environment

Andrew McEachran

Aug 02, 2019

The first step towards global high-resolution geographic analysis of health facility access

Scientific Data

Behind the Paper

The first step towards global high-resolution geographic analysis of health facility access

Joseph Maina

Jul 25, 2019

Scientific Data

Behind the Paper

Bridging scales in neuroscience

Bridging scales in neuroscience, from the level of proteins and molecules to large-scale networks, is an important endeavour in broadening our understanding of how the brain works. In our newly published Data Descriptor in Scientific Data, we provide a dataset and tools to help achieve this goal.