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Includes a typology of notes.

Identifies the type of telephone entered as contact information for an individual or an organization.

A typology of methods used to translate data collection instruments, including questionnaires, individual questions, measurements, data capture flows, etc.

Cell lines used in the Dependency Map (DepMap). Highly related to CCLE Cells.

The Enzyme Nomenclature (also known as the Enzyme Commission Code) is a species-agnostic controlled vocabulary for specific enzymes and an associated hierarchical classification into 7 main categories. The Enzyme Nomenclature is maintained by the [Nomenclature Committee](https://iubmb.org/about/committees/nomenclature-committee/) of the International Union of Biochemistry and Molecular Biology (IUBMB). A detailed history of the nomenclature since the 1950s can be found [here](https://iubmb.qmul.ac.uk/enzyme/history.html). There are few notable resources providing access to the Enzyme Nomenclature: <table class="table table-striped"><thead><tr><th>Website</th><th>Homepage</td><th>Notes</td></tr></thead><tbody><tr><td>ExplorEnz</td><td><a href="https://www.enzyme-database.org">https://www.enzyme-database.org</a></td><td>This is the resource officially recommended by IUBMB</td></tr><tr><td>IUBMB (via by Queen Mary)</td><td><a href="https://iubmb.qmul.ac.uk/enzyme">https://iubmb.qmul.ac.uk/enzyme</a></td><td>This is a web-based version of the <a href="https://archive.org/details/enzymenomenclatu0000inte_d6c2">1992 publication</a>.</td></tr><tr><td>IntEnz</td><td><a href="https://www.ebi.ac.uk/intenz">https://www.ebi.ac.uk/intenz</a></td><td>Shutdown in 2024</td></tr><tr><td>ExPaSy</td><td><a href="https://enzyme.expasy.org">https://enzyme.expasy.org</a></td></tr><tr><td>EnzymePortal</td><td><a href="https://www.ebi.ac.uk/enzymeportal">https://www.ebi.ac.uk/enzymeportal</a></td><td></td></tr></tbody></table>

The Electron Microscopy (EM) Glossary is a widespread community effort to harmonize terminology in the electron and ion microscopies. It is created in a not-for profit collaboration between academic and non-university research institutions including domain and metadata experts. It provides harmonized terminology for application level semantic artifacts to source from and align with. [from homepage]

EMMO is a multidisciplinary effort to develop a standard representational framework (the ontology) for applied sciences. It is based on physics, analytical philosophy and information and communication technologies. It has been instigated by materials science to provide a framework for knowledge capture that is consistent with scientific principles and methodologies. (from GitHub)

The EOL ontology describes environmental conditions of livestock farms. More specifically, it describes the feeding modalities, the environment, the structure of livestock farms and rearing systems.

European Science Vocabulary (EuroSciVoc) is the taxonomy of fields of science based on OECD's 2015 Frascati Manual taxonomy. It was extended with fields of science categories extracted from CORDIS content through a semi-automatic process developed with Natural Language Processing (NLP) techniques. (from homepage)

EuroVoc is the EU's multilingual and multidisciplinary thesaurus. It contains keywords, organized in 21 domains and 127 sub-domains, which are used to describe the content of documents in EUR-Lex. [from homepage]

The European Environment Information and Observation Network (Eionet) is a partnership network of the European Environment Agency (EEA) and its 38 member and cooperating countries. The EEA is responsible for developing Eionet and coordinating its activities together with National Focal Points (NFPs) in the countries. This terminology supports those efforts.

Groups listed in GEMET

Relations in GEMET

Themes listed in GEMET

The GeoNames geographical database covers all countries and contains over eleven million placenames that are available for download free of charge.

All geographical features in GeoNames are categorized into one out of nine feature classes and further subcategorized into one out of 645 feature codes.

The Category Scheme Election Studies provides the ability to categorize election studies at the question and/or variable level.

This CV, developed within the framework of the DP-R|EX joint project, involving the partner institutions DeZIM, Qualiservice and GESIS, maps the central concepts and theoretical approaches in research on racism and right-wing extremism. The compilation is based on a systematic evaluation of the relevant national and international empirical research literature. The CV equally takes into account the different thematic (racism, right-wing extremism, discrimination) as well as methodological (qualitative research, standardised surveys, data from social media and messaging services) research strands.

This CV, developed as part of the DP-R|EX joint project, involving the partner institutions DeZIM, Qualiservice and GESIS, maps the data types relevant to the research field. The CV includes data types that can result from a variety of different collection methods. These include, for example, standardised or unstandardised surveys, individual or repeated observations, as well as process-produced or user-generated types of data generation. The data types can be subject-, event-, space- or time-related and refer to the individual or aggregate level.

This CV, developed within the framework of the DP-R|EX joint project, involving the partner institutions DeZIM, Qualiservice and GESIS, maps the dimensions of discrimination and racialised characteristics relevant to the research area. The compilation is based on a systematic evaluation of the relevant national and international empirical research literature. These include self-attributed characteristics as well as anticipated attributions by others. The characteristics do not necessarily correspond to the studied units in the data set, but can also be the subject of studied concepts or theories in the surveys, such as on specific prejudices and attitudes.

As the variable is one of the most relevant entities to enhance data reuse in the Social Sciences, we provide a framework design to better semantics the variables' relations descriptions. These explicit relations between variables enable comparability and facilitate harmonization across waves. We provide a brief textual identification of the relation type, supported by a controlled vocabulary (CV) and an extended description of the relationship. These relations within variables include but are not limited to different versions, derived formats in new waves, new labels and name wording, and alternative response schema through questionnaires and surveys. For instance, a given variable label is changed from one wave to another, even though its concept remains the same. Their values also are subject to change, such as new cardinalities settings, their categorization, or response scheme and scale measurement. They change based on different conditions, e.g., values are updated by any constraints or modified to comply with the study evolution requirements or a new sociological approach. In the Social Sciences, Economics, and Behaviour Sciences, which investigate, for instance, the social structure of the population, political attitudes of voters and candidates, opinions on family, work, religion, politics and society or competencies of adults, those topics are highly subject to change to fit the empirical reality in a constantly changing world. Thus, we propose widening relations descriptions for Social Sciences variables within datasets beginning from the BasedOnObjectType DDI as a first approach.

Comprehensive reference information for the world's languages, especially the lesser known languages. [from homepage]