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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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WWF ecoregions are large unit of land or water containing a geographically distinct assemblage of species, natural communities, and environmental conditions.

The Thing Model (TM) ontology is an RDF axiomatization of the TM concepts, one of the building blocks of the Web of Things (WoT). Besides providing an alternative to the standard JSON representation format for TM documents, the TM ontology can also be used to process contextual information on Things and for alignments with other WoT-related ontologies. [from homepage]

an RDF vocabulary for the security metadata definitions

an ontology for links and forms, the main hypermedia controls in use on the Web. This ontology offers, among others, a means to reify RDF statements interpreted as links between Web resources. It also provides a versatile exchange format for links and forms in RESTful Web applications. [from homepage]

he WOT, or Web Of Trust, schema is designed to facilitate the use of Public Key Cryptography tools such as PGP or GPG to sign RDF documents and document these signatures.

Represents chemical kinetic reaction mechanisms.

Linked-data framework for connecting species in chemical kinetic reaction mechanisms with quantum calculations. A mechanism can be constructed from thermodynamic, reaction rate, and transport data that has been obtained either experimentally, computationally, or by a combination of both. In order to implement this approach, two existing ontologies, namely OntoKin, for representing chemical kinetic reaction mechanisms, and OntoCompChem, for representing quantum chemistry calculations, are extended. (from https://nfdi4cat.org/services/ontologie-sammlung/)

WikiPathways is a database of biological pathways maintained by and for the scientific community.

Wikidata is a free and open knowledge base that can be read and edited by both humans and machines. Wikidata acts as central storage for the structured data of its Wikimedia sister projects including Wikipedia, Wikivoyage, Wiktionary, Wikisource, and others.

Identifiers assigned by the World Health Organization for coding causes of death from verbal autopsy (VA) reports. These codes are produced as outputs in standard VA analysis software.

A vocabulary for representing latitude, longitude and altitude information in the WGS84 geodetic reference datum

Browser for the periodic table of the elements

The Protocol for Web Description Resources (POWDER) allows metadata to be associated with groups of resources such as those found on a Web site. Its main 'unit of information' is the Description Resource (DR), one or more of which are contained in a POWDER document. Processing such a document yields RDF triples describing the resources that are within the scope of the DRs. POWDER documents are written in XML and have relatively loose semantics, however, a GRDDL transform, associated with the root namespace, renders the data in RDF/OWL with more formal semantics. [from homepage]

The Veterans Health Administration is America’s largest integrated health care system, providing care at 1,293 health care facilities, including 171 medical centers and 1,112 outpatient sites of care of varying complexity (VHA outpatient clinics), serving 9 million enrolled Veterans each year.

The Vital Sign Ontology (VSO) is an extension of the Ontology for General Medical Science (OGMS). VSO covers the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. VSO provides also a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.

an ontology for vector surveillance and management, focusing on arthropod vectors and vector-borne pathogens with relevance to humans or domestic animals, and with special emphasis on content to support operational activities through inclusion in databases, data management systems, or decision support systems.

Veterinary pharmaceuticals are biologically active and potentially persistent substances which are recognised as a continuing threat to environmental quality. Whilst the environmental risk of agricultural pesticides has had considerable attention in recent decades, risks assessments for veterinary pharmaceuticals have only relatively recently began to be addressed. Risk assessments and risk modelling tend to be inherently data hungry processes and one of the main obstacles to consistent, accurate and efficient assessments is the need for a reliable, quality and comprehensive data source.

This vocabulary was created in the FOAF project, based on experience with FOAF, Dublin Core and other early RDF vocabularies. Deployment experience shows that changing namespace URIs is expensive and unrewarding, so this vocabulary provides terms to support in-place evolution of structured data vocabularies. By indicating status at the level of terms rather than vocabularies, dictionary-style, fine grained improvements become easier. Different organizations and parties can agree or disagree on the status of a vocabulary term; however the status published alongside the term may deserve special attention. Future work could include patterns for citing announcements and decisions, or using SKOS to decentralise the extension of the basic status levels. (from artifact)

The Vocabulary of Interlinked Datasets (VoID) is an RDF Schema vocabulary for expressing metadata about RDF datasets. It is intended as a bridge between the publishers and users of RDF data, with applications ranging from data discovery to cataloging and archiving of datasets. This document provides a formal definition of the new RDF classes and properties introduced for VoID. It is a companion to the main specification document for VoID, Describing Linked Datasets with the VoID Vocabulary.

Voc4Cat is a [SKOS](https://www.w3.org/TR/2009/REC-skos-reference-20090818/) vocabulary for the catalysis disciplines. The vocabulary was created in the [NFDI4Cat](http://www.nfdi4cat.org/) initiative. The first collection of terms was published in June 2023 with a focus on photo catalysis. Our goal is to continuously extend the vocabulary to other areas of catalysis and related disciplines like chemical engineering or materials science.

VOAF is a vocabulary specification providing elements allowing the description of vocabularies (RDFS vocabularies or OWL ontologies) used in the Linked Data Cloud. In particular it provides properties expressing the different ways such vocabularies can rely on, extend, specify, annotate or otherwise link to each other. It relies itself on Dublin Core and voiD. The name of the vocabulary makes an explicit reference to FOAF because VOAF can be used to define networks of vocabularies in a way similar to the one FOAF is used to define networks of people. [from homepage]