nmrXiv (pronounced nm-archive) is a FAIR and Open, Consensus-Driven Nuclear Magnetic Resonance (NMR) Data Repository and Computational platform. It is currently being developed as a part of the NFDI4Chem initiative with the ultimate goal of accelerating broader coordination and data sharing among researchers by creating a platform for managing, sharing, and analyzing raw and processed NMR spectral data.

DNASU is a central repository for plasmid clones and collections. Currently we store and distribute over 197,000 plasmids including 75,000 human and mouse plasmids, full genome collections, the protein expression plasmids from the Protein Structure Initiative as the PSI: Biology Material Repository (PSI : Biology-MR), and both small and large collections from individual researchers. We are also a founding member and distributor of the ORFeome Collaboration plasmid collection.

The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators, with the goal of aggregating and harmonizing both exome and genome sequencing data from a wide variety of large-scale sequencing projects, and making summary data available for the wider scientific community.

SeaWiFS Bio-optical Archive and Storage System (SeaBASS) is a publicly shared archive of in situ oceanographic and atmospheric data maintained by the NASA Ocean Biology Processing Group (OBPG). Archived data include measurements of apparent and inherent optical properties, phytoplankton pigment concentrations, and other related oceanographic and atmospheric data, such as water temperature, salinity, stimulated fluorescence, and aerosol optical thickness. Data are collected using a number of different instrument packages, such as profilers, buoys, and hand-held instruments, and manufacturers on a variety of platforms, including ships and moorings.

Biomedical data repositories such as the Gene Expression Omnibus (GEO) enable the search and discovery of relevant biomedical digital data objects. Similarly, resources such as OMICtools index bioinformatics tools that can extract knowledge from these digital data objects. However, systematic access to pre-generated “canned" analyses applied by bioinformatics tools to biomedical digital data objects is currently not available. Datasets2Tools is a repository indexing 31,473 canned bioinformatics analyses applied to 6,431 datasets. The Datasets2Tools repository also contains the indexing of 4,901 published bioinformatics software tools, and all the analyzed datasets. Datasets2Tools enables users to rapidly find datasets, tools, and canned analyses through an intuitive web interface, a Google Chrome extension, and an API. Furthermore, Datasets2Tools provides a platform for contributing canned analyses, datasets, and tools, as well as evaluating these digital objects according to their compliance with the findable, accessible, interoperable, and reusable (FAIR) principles. By incorporating community engagement, Datasets2Tools promotes sharing of digital resources to stimulate the extraction of knowledge from biomedical research data.

COViMS (COVID-19 Infections in MS & Related Diseases) is a joint effort of the National MS Society, Consortium of MS Centers and Multiple Sclerosis Society of Canada to capture information on outcomes of people with MS and other CNS demyelinating diseases (Neuromyelitis Optica, or MOG antibody disease) who have developed COVID-19.

Natural products, also known as specialized or secondary metabolites, are small molecules produced by many organisms. These chemical compounds often show strong biological activities, making them interesting for medicine, agriculture, and other fields. Their biosynthesis is governed by a set of enzymes, which can be separated into gatekeeper/core enzymes, and tailoring enzymes. The latter modify the nascent natural products, giving them their final form, and often confer their biological activity. Tailoring enzymes show a wide range of substrate- and reaction-specificities. The Minimum Information about a Tailoring Enzyme (MITE) data standard was created to facilitate consistent and systematic deposition and retrieval of data on tailoring enzymes. Each MITE entry contains information on a single enzyme: its reaction(s), substrate specificities, known substrate-product pairs, and additional metadata. This record describes the data repository accompanying the data standard.

The main focus of the Upper Ocean Processes Group is the study of physical processes in the upper ocean and at the air-sea interface using moored surface buoys equipped with meteorological and oceanographic sensors.

Since the launch of NASA's first ocean-observing satellite, Seasat, in 1978, the Physical Oceanography Distributed Active Archive Center (PO.DAAC) has become the first data center for measurements focused on sea surface topography, ocean temperature, ocean winds, salinity, gravity, and ocean circulation. In addition to providing access to its data holdings, PO.DAAC acts as a gateway to data stored at other ocean and climate archives. This and other tools and services enable PO.DAAC to support a wide user community working in areas such as ocean and climate research, applied science and industry, natural resource management, policy making, and general public consumption. The PO.DAAC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.

Collaborative OPen Omics (COPO) is an online platform that serves as a metadata broker, facilitating the description of research data like reads, samples, images, sequence annotations, assemblies and data files in alignment with the FAIR (Findability, Accessibility, Interoperability and Reusability) principles. By supporting various community-recognised metadata standards, data formats and Application Programming Interface (API) methods, COPO ensures that data is accurately described, discoverable and can be easily integrated across different systems. This promotes enhanced collaboration, better data management, and long-term preservation thereby, making scientific outputs more accessible and reusable for a wider audience. Submitted data are stored in public repositories, enabling open access and ensuring that valuable research outputs are shared, reused, and built upon by the global research community. COPO integrates with key international data repositories promoting the open exchange of scientific data and advancing discoveries in various fields of life sciences.