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The DARIAH-DE repository is a digital long-term archive for human and cultural-scientific research data. Each object described and stored in the DARIAH-DE Repository has a unique and lasting Persistent Identifier (DOI), with which it is permanently referenced, cited, and kept available for the long term. In addition, the DARIAH-DE Repository enables the sustainable and secure archiving of data collections. The DARIAH-DE Repository is not only to DARIAH-DE associated research projects, but also to individual researchers as well as research projects that want to save their research data persistently, referenceable and long-term archived and make it available to third parties. The main focus is the simple and user-oriented access to long-term storage of research data. To ensure its long term sustainability, the DARIAH-DE Repository is operated by the Humanities Data Centre.

The UK Stem Cell Bank (UKSCB) facilitates the use and sharing of quality-controlled stem cell lines to support scientific research and clinical development of stem cell therapies. The work of the UK Stem Cell Bank covers three main areas: banking for all UK-derived human embryonic stem cell lines, research in the standardisation, quality and safety of human pluripotent stem cell (hPSC)-based products, and regulation regarding international best practice, policies and guidelines relating to stem cell use and regulation around the world.

A database containing genome size (C-value) data for all groups of land plants and red, green and brown algae.

Internal Control Genes (ICG) is a wiki-based knowledgebase of internal control genes (or reference genes) for RT-qPCR normalization in a variety of species across three domains of life. Based on community curation, ICG provides curated data from a large volume of literature and provides information on internal control genes corresponding to specific experimental conditions for both model and non-model organisms.

Indel Flanking Region Database is an online resource for indels (insertion/deletions) and the flanking regions of proteins in SCOP superfamilies. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid indels, substitutions and the relationship between them.

This site provides access to the research output of the institution. Users may set up RSS feeds to be alerted to new content. The interface is in English. Some items are not available as full text.

BuG@Sbase is a microbial gene expression and comparative genomic database containing microarray datasets.

Nearly 60% of patients undergoing cancer treatment are estimated to have had at least one potential drug-drug interaction; for patients receiving oral anticancer therapy, up to 50% have been reported to experience a potential drug-drug interaction, with 16% experiencing a major event. Drug-drug interactions are therefore a significant issue for cancer patients and the health care professionals who treat them. Combining the internationally recognised drug-drug interactions expertise of the University of Liverpool (UK) with the clinical pharmacology in oncology and haemotology expertise of Radboud University, Nijmegen (the Netherlands), this site was established in 2017 in response to the need for improved management of DDIs with anti-cancer agents.

FlyMine is an integrated database of genomic, expression and protein data for Drosophila, Anopheles and C. elegans. Its main focus is genomic and proteomics data for Drosophila and other insects. It provides access to integrated data at a number of different levels, from browsing to construction of complex queries, which can be executed on either single items or lists.

PDX Finder is an open repository for the upload and storage of clinical, genomic and functional Patient-Derived Xenograph (PDX) data which provides a comprehensive global catalogue of PDX models available for researchers across distributed repository databases. Integrated views are provided for histopathological image data, molecular classification of tumors, host mouse strain metadata, tumor genomic data and metrics on tumor response to chemotherapeutics. The data model for PDX Finder is based on the minimal information standard for PDX models developed in collaboration with a broad range of stakeholders who create and/or use PDX models in basic and pre-clinical cancer research.