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Cross-domain directory aggregating tools, AI models, datasets, and research resources from bio.tools, Bioconductor, HuggingFace, curated GitHub awesome-lists, and more.

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MatrixDB is a freely available database focused on interactions established by extracellular matrix proteins, proteoglycans and polysaccharides

MathModDB is a database of mathematical models developed by the Mathematical Research Data Initiative (MaRDI). MathModDB defines a data model with classes (Mathematical Model, Mathematical Formulation, Research Field, Research Problem, Quantity [Kind], Computational Task, Publication), object properties/relations, data properties and annotation properties as an ontology. This ontology is populated with individuals/data from various fields of applied mathematics, making it a knowledge graph. [from homepage]

This vocabulary and grammar defines which types of objects are admissible to the MathAlgoDB - the algorithm knowledge graph - and by which properties they can relate. All in all five classes, "problem", "algorithm", "benchmark", "software", "publication", are defined, as well as a minimal but intuitively intelligible number of properties. As opposed to the more liberal WikiData, MathAlgoDB relies on the strict adherence to the ontology to provide a reliable machine-readable database of (numerical) algorithm knowledge. [from homepage]

MarkerDB is a freely available electronic database that attempts to consolidate information on all known clinical and pre-clinical biomarkers into a single resource. It provides identifiers for known clinical and pre-clinical biomarkers. Each entry provides detailed annotations, including biomarker descriptions, associated conditions, specificity, sensitivity, molecular structures, chromosomal locations, and clinical approval status.

MARC List for Languages provides three-character lowercase alphabetic strings that serve as the identifiers of languages and language groups. The codes are usually based on the first three letters of the English form or, in some cases, vernacular form of the corresponding language name. The codes are varied where necessary to resolve conflicts and are not intended to be abbreviations of a language name. When the name of a language is changed in the list, the original code is generally retained. The codes in this list are equivalent to those of ISO 639-2 (Bibliographic) codes and some codes from ISO 639-5, although the language name labels may differ. They are linked to the equivalent codes in ISO 639-2 and ISO 639-5 and the corresponding two-character codes in ISO 639-1. The list contains over 480 discrete codes. It is also searchable at: MARC Code List for Languages.

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]

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.