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Most data files are adapted from UCI Machine Learning Repository data, some are collected from the literature. treated for missing values, numerical attributes only, different percentages of anomalies, labels
A database of biomedical and life sciences literature with access to full-text research articles and citations. [56] Includes text-mining tools and links to external molecular and medical data sets. A partner in PMC International. [57] Free EMBL-EBI [58] FSTA – Food Science and Technology Abstracts: Food science, food technology, nutrition
Overhead Imagery Research Data Set: Annotated overhead imagery. Images with multiple objects. Over 30 annotations and over 60 statistics that describe the target within the context of the image. 1000 Images, text Classification 2009 [170] [171] F. Tanner et al. SpaceNet SpaceNet is a corpus of commercial satellite imagery and labeled training data.
EEG, metadata, imaging, annotations on data Humans and animal models of epilepsy EEG, local fields, micro-ECoG Electrophysiology Non-healthy, several healthy Yes International Neuroimaging Data-sharing Initiative (INDI) Functional connectivity data from many different groups Invertebrates (47 species in all) Macroscopic Functional connectivity
re3data.org is a global registry of research data repositories from all academic disciplines. It provides an overview of existing research data repositories in order to help researchers to identify a suitable repository for their data and thus comply with requirements set out in data policies. [1] [2] The registry went live in autumn 2012. [3]
The archive is maintained by the Data Support Section of the Computational and Information Systems Laboratory] (CISL) at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. The archive acquires, curates, preserves and disseminates an extensive list of over 700 data sets. Registration is free and open to the general public.
[1] [5] Compared to other datasets, the Pile's main distinguishing features are that it is a curated selection of data chosen by researchers at EleutherAI to contain information they thought language models should learn and that it is the only such dataset that is thoroughly documented by the researchers who developed it.
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