LINDAT/CLARIAH-CZ Repository provides a platform for researchers in Language Technologies, Arts and Humanities to access and share resources and advanced tools from humanities and social sciences. The repository allows anyone to deposit, safely store and share both their research data and software in arts and humanities. Direct data citations, versioning, large datasets, full spectrum of licenses, and many other features are supported.

**Datasets of opinion polls and surveys** are the largest and most frequently used collection of data by users from social science community. The largest part of this collection consists of data from surveys carried out by other scientists and researchers, which might be used by other users for their own **secondary analysis**. Launched in 2006 the LiDA Survey Data collection currently contains **more than 300 survey datasets** (not all datasets are available yet, as a migration project from the old infrastructure is underway for the period 2020-2024). The datasets are organised into **thematic collections** – sub-catalogues. Each survey dataset is described (documented) in **English** (see Metadata: Citation Metadata, Geospatial Metadata, Social Science and Humanities Metadata) and **Lithuanian** (see Metadata: Citation Metadata (LT), Geospatial Metadata (LT), Social Science and Humanities Metadata (LT)).

dbMHC provides access to HLA sequences, tools to support genetic testing of HLA loci, HLA allele and haplotype frequencies of over 90 populations worldwide, as well as clinical datasets on nematopoietic stem cell transplantation, and insulin dependant diabetes mellitus (IDDM), Rheumatoid Arthritis (RA), Narcolepsy and Spondyloarthropathy. All clinical datasets housed at the dbMHC provide access to genotypic and phenotypic data on anonimyzed samples with aggregate query functions, and complete download capability.

ACLAME is a database dedicated to the collection and classification of mobile genetic elements (MGEs) from various sources, comprising all known phage genomes, plasmids and transposons.

UniSTS was a database of sequence tagged sites (STSs), derived from STS-based maps and other experiments. All data from this resource have been moved to the Probe database. You can retrieve all UniSTS records by searching the probe database using the search term "unists[properties]". Additionally, legacy data remain on the NCBI FTP Site in the UniSTS Repository (ftp://ftp.ncbi.nih.gov/pub/ProbeDB/legacy_unists). If you have any specific questions, please feel free to contact us at info@ncbi.nlm.nih.gov

The Prognostics Data Repository is a collection of data sets that have been donated by universities, agencies, or companies. The data repository focuses exclusively on prognostic data sets, i.e., data sets that can be used for the development of prognostic algorithms.

The Sicas Medical Image Repository is a medical database for academic, scientific, technical and clinical biomedical research and collaboration. Registration is required for data download and usage, although browsing and searching is available without registration.

The NORMAN Digital Sample Freezing Platform (DSFP) is a European infrastructure developed by the NORMAN Network to archive and share high-resolution mass spectrometry (HRMS) data. It was developed by the NORMAN Network and includes functionalities for the application of retrospective suspect screening of thousands of contaminants of emerging concern.

DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes.

RDoCdb is an informatics platform for the sharing of human subjects data related to Mental Health research. This database may be used to plan for data submission, share your data, query data that is already shared, or to share your results related to a publication or finding. RDoCdb is is a part of the NIMH Data Archive (NDA), powered by the National Database for Autism Research (NDAR) infrastructure.