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The Atlas of Living Australia (GBIF Australia) maintains this data repository in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). Able to assign DOIs to datasets, it ensures the data is disseminated in standardized format in order to facilitate wider reuse and integration of the data, for example into GBIF.org. GBIF Australia supports researchers in Australia by providing them helpdesk assistance and by hosting their data for free in this repository.

**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)).

STRING is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations.

This site provides access to the research outputs and ETDs of the Vilnius College of Technologies and Design. The interface is available in English and Lithuanian.

This site gives access to the research output of the University of Southern Denmark. Only a small proportion of items are available as full text. The interface is in Danish or English and contains an RSS feed to alert users to new content.

Lithuanian Data Archive for Social Sciences and Humanities (LiDA) is a virtual digital infrastructure for SSH data and research resources acquisition, long-term preservation and dissemination. It provides access to more than 600 data and research resources. All the data and research resources are documented in both Lithuanian and English according to international standards. Access to the resources is provided via this Dataverse repository (not all the resources are available, as in 2020-2024 a migration project from the old infrastructure is being implemented). LiDA curates different types of resources and they are published into catalogues according to the type: Survey Data, Aggregated Data (including Historical Statistics), Encoded Data (including News Media Studies), and Textual Data. Also, LiDA holds collections of social sciences and humanities data deposited by Lithuanian science and higher education institutions and Lithuanian state institutions (Data of Other Institutions). LiDA is hosted by the Centre for Data Analysis and Archiving (DAtA) of Kaunas University of Technology (data.ktu.edu).

DeiC Dataverse is the Danish National Repository for Research Data. It allows researchers to publish and archive their research data in line with the FAIR principles, including metadata descriptions, DOI’s (Digital Object Identifiers) as persistent identifiers and clearly defined terms and conditions for access and reuse. DeiC Dataverse is owned by the Danish e-infrastructure Consortium, DeiC, and provided free of charge to all Danish research institutions.

TISSUES is a weekly updated web resource that integrates evidence on tissue expression from manually curated literature, proteomics and transcriptomics screens, and automatic text mining. All evidence to common protein identifiers and Brenda Tissue Ontology terms is mapped, and confidence scores that facilitate comparison of the different types and sources of evidence are assigned. These scores are visualized on a schematic human body to provide a convenient overview.

This repository provides access to Nordic research into arts and humanities. Users may set up RSS feeds to be alerted to new content.