Find open-source science resources
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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2,418 of 5,674 resources
Showing 901–950
compounds appearing in nmrXiv that have associated spectra.
An initiative to empower the research community to harness microbiome data exploration and discovery through a collaborative integrative data science ecosystem.
NLXDYS covers dysfunction, diseases, and disorders. Most classes are also in Disease Ontology (DOID), Monarch Disease Ontology (MONDO), Human Phenotype Ontology (HPO), etc.
NLXANAT covers anatomy terms. Almost all terms are also in Uberon.
Publisher short codes appearin in the NLM Catalog.
The NLM Catalog provides access to NLM bibliographic data for journals, books, audiovisuals, computer software, electronic resources and other materials. Links to the library's holdings in LocatorPlus, NLM's online public access catalog, are also provided. [from homepage]
A vocabulary for describing the usage of land cover (e.g., pasture, wetlands, barren, forest, water) extended from the original 16 land cover classes proposed by the [Anderson Level II classification system](https://doi.org/10.3133/pp964) in 1976
NKOS is devoted to the discussion of the functional and data model for enabling knowledge organization systems/services (KOS), such as classification systems, thesauri, gazetteers, and ontologies, as networked interactive information services to support the description and retrieval of diverse information resources through the Internet. Knowledge Organization Systems/Services (KOS) model the underlying semantic structure of a domain. Embodied as Web-based services, they can facilitate resource discovery and retrieval. They act as semantic road maps and make possible a common orientation by indexers and future users (whether human or machine). -- Douglas Tudhope, Traugott Koch (2004).
The NIST Chemistry WebBook provides users with easy access to chemical and physical property data for chemical species through the internet. The data provided in the site are from collections maintained by the NIST Standard Reference Data Program and outside contributors. Data in the WebBook system are organized by chemical species.
RePORTER is an electronic tool that allows users to search a repository of both intramural and extramural NIH-funded research projects and access publications and patents resulting from NIH funding.
The NIH registration number should be used on all NIH competing applications and annual progress reports to identify the stem cell line proposed for use. Identify the specific line(s) from the Registry using the NIH Registration Number (e.g., 0001), in the specified location in the application (from homepage)
Identifiers represent experimental tools and resources for neurofibromatosis (NF) research in the NF Data Portal Tools catalog.
The NFDI4DataScience ontology (nfdi4dso) is an ontology describing various resources all resources (datasets, data providers, persons, projects and other entities) within the domain of NFDI4DataScience. nfdi4dso is a module that builds upon the [NFDIcore Ontology](https://ise-fizkarlsruhe.github.io/nfdicore/2.0.0/) and maintains alignment with the Basic Formal Ontology (BFO). [adapted from homepage]
The NFDI4Culture portal offers all content as Linked Open Data over this RESTful API. The API implements the Hydra-Specification of the W3C Hydra Community Group. The semantic description of this API can be retrieved by clients via the Hydra documentation file (JSON). Each metadata record offered via this API can also be retrieved in one of following machine-readable LOD serializations. The API is the basis for the Culture Research Information Graph, which together with the Culture Research Data Graph forms the [Culture Knowledge Graph](https://nfdi4culture.de/services/details/culture-knowledge-graph.html) (for more details see [this presentation](https://doi.org/10.5281/zenodo.7748740)) (from homepage).
The NFDI4Culture Ontology (CTO) is a domain-specific ontology module developed within the Task Area 5 of the NFDI4Culture initiative. (from homepage)
Assigns identifiers to knowledge graphs (KGs) that are used and/or maintained within any NFDI consortium.
A mid-level ontology for representing metadata related to NFDI resources, including individuals, organizations, projects, data portals, and more
NeXtProt is a comprehensive human-centric discovery platform, offering its users a seamless integration of and navigation through protein-related data. (Developed by the SIB Swiss Institute of Bioinformatics)
BrainInfo is designed to help you identify structures in the brain. If you provide the name of a structure, BrainInfo will show it and tell you about it.
The PIMO Ontology can be used to express Personal Information Models of individuals. It is based on RDF and NRL, the NEPOMUK Representational Language and other Semantic Web ontologies. This document describes the principle elements of the language and how to use them. (from homepage)
NEPOMUK Contact Ontology describes contact information, common in many places on the desktop. It evolved from the VCARD specification (RFC 2426) and has been inspired by the Vcard Ontology by Renato Ianella. The scope of NCO is much broader though. This document gives an overview of the classes, properties and intended use cases of the NCO ontology. (from homepage)
The annotation ontology provides vocabulary that enables users to attach custom descriptions, identifiers, tags and ratings to resources on their desktop. Via other properties, the user is also able to make generic relationships between related resources explicit. Some relationships between resources are too general to be included at the domain ontology level. Instead, these properties are also defined in the annotation ontology. Given the high-level status of this ontology, these propreties can be used to link any related resources on the user's desktop, as well as provide custom human-readable textual annotations. (from homepage)
NDF-RT combines the NDF hierarchical drug classification with a multi-category reference model. The categories are: Cellular or Molecular Interactions [MoA]; Chemical Ingredients [Chemical/Ingredient]; Clinical Kinetics [PK]; Diseases, Manifestations or Physiologic States [Disease/Finding]Dose Forms [Dose Form]; Pharmaceutical Preparations; Physiological Effects [PE]; Therapeutic Categories [TC]; and VA Drug Interactions [VA Drug Interaction].
The Network Data Exchange (NDEx) is an open-source framework where scientists and organizations can store, share, manipulate, and publish biological network knowledge.
FDB MedKnowledge encompasses medications approved by the U.S. Food and Drug Administration, and information on commonly-used over-the-counter and alternative therapy agents such as herbals, nutraceuticals and dietary supplements.