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The ontology Metadata4Ing is developed within the NFDI Consortium NFDI4Ing with the aim of providing a thorough framework for the semantic description of research data, with a particular focus on engineering sciences and neighbouring disciplines. This ontology allows a description of the whole data generation process (experiment, observation, simulation), embracing the object of investigation, all sample and data manipulation procedures, a summary of the data files and the information contained, and all personal and institutional roles. The subordinate classes and relations can be built according to the two principles of inheritance and modularity. "Inheritance" means that a subclass inherits all properties of its superordinate class, possibly adding some new ones. Modularity means that all expansions are independent of each other; this makes possible for instance to generate expanded ontologies for any possible combinations of method × object of research.

Under this name space new properties and classes needed for the service lobid ('linking open bibliographic data') are defined . Already existing properties and classes which are (re)used in lobid aren't documented here [from TTL]

Ecological terms

Internal identifiers form the LSP for ChEBML compound classes (e.g., combining various salts and ions)

A concept scheme that defines the types of relationships between a learning resource and a node in an educational framework.

The Learning Resource Metadata Innovation (LRMI) specification is a collection of classes and properties for markup and description of educational resources. The specification builds on the extensive vocabulary provided by Schema.org and other standards. LRMI terms not included in schema.org may nevertheless be used to augment and enrich Schema.org markup. (from homepage)

The Livestock Product Trait Ontology (LPT) is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to products produced by or obtained from the body of an agricultural animal or bird maintained for use and profit.

LOTUS, actually, represents the most exhaustive resource of documented structure-organism pairs. Within the frame of current computational approaches in Natural Produts’s research and related fields, these documented structure-organism pairs should allow a more complete understanding of organisms and their chemistry.

Contains information about cells and data sheets related to transfection.

The international standard for identifying health measurements, observations, and documents.

A controlled vocabulary of media resources, such as audio, cartographic, manuscript, multimedia, etc.

Relator terms and their associated codes designate the relationship between an agent and a bibliographic resource.

The digital content format descriptions accessible here provide specific information about individual formats and their characteristics. Each description provides moderately detailed information and citations. Planned for inclusion are a wide variety of formats: file formats, file-format classes, bitstream structures and encodings, and the mechanisms used to compress files or bitstreams. Inclusion of a description for a format does not imply that the format is preferred or acceptable for Library of Congress collections. [from homepage]

A comprehensive compendium of human long non-coding RNAs

Linkml is a flexible modeling language that allows you to author schemas in yaml that describe the structure of your data. additionally, it is a framework for working with and validating data in a variety of formats (json, rdf, tsv), with generators for compiling linkml schemas to other frameworks.

The LIDO Terminology is committed to the Linked Open Data paradigm by making each LIDO Term referenceable through a Uniform Resource Identifier (URI). It is recommended best practice to use the URI from the terminology.lido-schema.org/ namespace to indicate the type of a LIDO element or attribute. The primary objective of this practice is to support data providers in adapting or mapping their data structures to LIDO, thus facilitating the processing of LIDO data for service providers, increasing the interoperability of LIDO data, and supporting information retrieval across different collections. [from homepage]