2026-04-16T14:37:20Zhttps://api.fairsharing.org/oaioai:fairsharing_record:12026-03-26T09:46:09Zhttps://doi.org/10.25504/FAIRsharing.1414v8FAIRsharing record for: The BRENDA Tissue OntologyThis FAIRsharing record describes: A structured controlled vocabulary for the source of an enzyme. It comprises terms for tissues, cell lines, cell types and cell cultures from uni- and multicellular organisms.FAIRsharing TeamLife ScienceAnatomyOmicsCell BiologyEnzymologyProteomicsGenomicsExperimental measurementSample annotationcellenzymeorgantissueoai:fairsharing_record:22026-03-26T09:47:24Zhttps://doi.org/10.25504/FAIRsharing.2mk2zbFAIRsharing record for: Logical Observation Identifier Names and CodesThis FAIRsharing record describes: LOINC is a common language (set of identifiers, names, and codes) for clinical and laboratory observations. LOINC is a catalog of measurements, including laboratory tests, clinical measures like vital signs and anthropomorphic measures, standardized survey instruments, and more. LOINC enables the exchange and aggregation of clinical results for care delivery, outcomes management, and research by providing a set of universal codes and structured names to unambiguously identify things you can measure or observe.FAIRsharing TeamLife SciencePreclinical StudiesBiomedical ScienceGenetic Polymorphismassayphenotypediagnosisgenetic disorderoai:fairsharing_record:32026-03-26T10:00:13Zhttps://doi.org/10.25504/FAIRsharing.dg76vsFAIRsharing record for: Synthetic Biology Open Language VisualThis FAIRsharing record describes: Synthetic Biology Open Language Visual (SBOL Visual) is an open-source graphical notation that uses schematic “glyphs” to specify genetic parts, devices, modules, and systems.FAIRsharing TeamLife Sciencedata visualizationSynthetic BiologyDNA sequenceSequence annotationNucleic acid designoai:fairsharing_record:42026-03-26T10:00:34Zhttps://doi.org/10.25504/FAIRsharing.ezznshFAIRsharing record for: Newick tree FormatThis FAIRsharing record describes: The Newick Standard for representing trees in computer-readable form makes use of the correspondence between trees and nested parentheses, noticed in 1857 by the famous English mathematician Arthur Cayley.FAIRsharing TeamLife ScienceComparative GenomicsPhylogeneticsEvolutionary BiologyGenomicsdendrogramsequencing assayregionoai:fairsharing_record:52026-03-26T09:50:06Zhttps://doi.org/10.25504/FAIRsharing.1sgm8qFAIRsharing record for: BioModels OntologyThis FAIRsharing record describes: Record does not exist anymore: BioModels Ontology. The record with identifier content 10.25504/FAIRsharing.1sgm8q was invalid as it was not in scope for FAIRsharing; it did not have the community backing that resources require to be registered in FAIRsharing. Records previously linked: [1846]. Organisations previously linked: [270, 920, 278]. Publications previously linked: [1784].FAIRsharing TeamLife Sciencemolecular entityenzymatic reactionpathwayoai:fairsharing_record:62026-03-26T09:56:13Zhttps://doi.org/10.25504/FAIRsharing.5pp7gnFAIRsharing record for: Minimum Information about a Neuroscience InvestigationThis FAIRsharing record describes: This module represents the formalised opinion of the authors and the CARMEN consortium, which identifies the minimum information required to report the use of electrophysiology in a neuroscience study. A MINI module represents the minimum information that should be reported about a dataset to facilitate computational access and analysis to allow a reader to interpret and critically evaluate the processes performed and the conclusions reached, and to support their experimental corroboration. In practice a MINI module comprises a checklist of information that should be provided (for example about the protocols employed) when a data set is submitted to the CARMEN system. Please note that, while these guidelines remain available, the CARMEN project can no longer be accessed. Please let us know if you have any information regarding this resource.FAIRsharing TeamElectrophysiologyNeuroscienceneuronassaybrainoai:fairsharing_record:72026-03-26T10:09:55Zhttps://doi.org/10.25504/FAIRsharing.yecp83FAIRsharing record for: Spider Anatomy OntologyThis FAIRsharing record describes: An ontology for spider comparative biology including anatomical parts (e.g. leg, claw), behavior (e.g. courtship, combing) and products (i.g. silk, web, borrow).FAIRsharing TeamLife ScienceAnatomybehavioroai:fairsharing_record:82025-07-23T10:58:16Zhttps://doi.org/10.25504/FAIRsharing.qtwya6FAIRsharing record for: Material Element component of the SWEET ontologyThis FAIRsharing record describes: Material Element component of SWEET ontology. SWEET is a highly modular ontology suite with many separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. FAIRsharing TeamEarth Scienceoai:fairsharing_record:92025-07-23T10:58:17Zhttps://doi.org/10.25504/FAIRsharing.qtb9ybFAIRsharing record for: Minimal Anatomical TerminologyThis FAIRsharing record describes: Minimal set of terms for anatomy.FAIRsharing TeamLife ScienceAnatomyoai:fairsharing_record:102025-07-23T10:58:17Zhttps://doi.org/10.25504/FAIRsharing.vhgehdFAIRsharing record for: Subcellular Anatomy OntologyThis FAIRsharing record describes: SAO describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules.FAIRsharing TeamLife ScienceAnatomycellcellular_componentoai:fairsharing_record:112026-04-15T16:12:46Zhttps://doi.org/10.25504/FAIRsharing.8jns8FAIRsharing record for: e-Mouse Atlas Project Anatomy OntologyThis FAIRsharing record describes: A structured controlled vocabulary of stage-specific anatomical structures of the mouse used within the e-Mouse Atlas Project.FAIRsharing TeamLife ScienceAnatomyDevelopmental Biologymorphologylife cycle stageoai:fairsharing_record:122026-03-26T16:21:13Zhttps://doi.org/10.25504/FAIRsharing.24yjfcFAIRsharing record for: Habronattus Courtship OntologyThis FAIRsharing record describes: A demonstration of ontology construction as a general technique for coding ethograms and other descriptions of behavior into machine understandable forms. An ontology for courtship behavior of the spider Habronattus californicus.FAIRsharing TeamLife Sciencebehavioroai:fairsharing_record:132026-03-26T09:49:30Zhttps://doi.org/10.25504/FAIRsharing.pdwqcrFAIRsharing record for: Mouse Adult Gross Anatomy OntologyThis FAIRsharing record describes: The Anatomy Ontology for the Adult Mouse is organized spatially and functionally, using "is a" and "part of" relationships to describe the anatomy of the postnatal mouse. Anatomical terms are arranged as a hierarchy from body region or organ system to tissue substructure. Modeling the anatomy hierarchically makes it possible to record expression results from assays with differing spatial resolution in a consistent and integrated manner. Organizing the anatomical terms as a Directed Acyclic Graph (DAG), i.e., in which a term can have more than one parent, allows presentation of the anatomy from multiple perspectives. In various locations, this ontology is also referred to as: 'Mouse Adult Gross Anatomy ontology', 'Adult Mouse Anatomy', 'Mouse Anatomy' or 'Mouse anatomical entity'. FAIRsharing TeamAnatomyorgantissueoai:fairsharing_record:142026-03-26T09:49:35Zhttps://doi.org/10.25504/FAIRsharing.r1rjvxFAIRsharing record for: Process and Observation OntologyThis FAIRsharing record describes: A core ontology for modeling transformation processes and their observations. PO2 is part of an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The project combines data from different disciplines like food composition, food structure, sensorial perception and nutrition.FAIRsharing TeamLife ScienceAgricultural Engineeringfoodsensory perception of smellsensory perception of tasteoai:fairsharing_record:152026-03-26T09:47:19Zhttps://doi.org/10.25504/FAIRsharing.dqnfkgFAIRsharing record for: Mosquito gross anatomyThis FAIRsharing record describes: A structured controlled vocabulary of the anatomy of mosquitoes.FAIRsharing TeamLife ScienceAnatomyoai:fairsharing_record:162025-07-23T10:58:20Zhttps://doi.org/10.25504/FAIRsharing.6qrmz2FAIRsharing record for: Pharmacometrics Markup LanguageThis FAIRsharing record describes: PharmML is an exchange format for non-linear mixed effect models used in pharmacometrics and provides means to encode models, trial designs, and modelling steps. This standard allows for a smooth exchange of models between different software tools used in population pharmacokinetics/pharmacodynamics.
Note from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.FAIRsharing TeamBiochemistryBiomedical ScienceReaction dataoai:fairsharing_record:172026-03-26T09:45:42Zhttps://doi.org/10.25504/FAIRsharing.3mprr8FAIRsharing record for: XML for evolutionary biology and comparative genomics.This FAIRsharing record describes: PhyloXML is an XML language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch lengths, support values, and gene duplication and speciation events.FAIRsharing TeamLife ScienceComparative GenomicsPhylogeneticsEvolutionary BiologyComputational BiologyGenomicsData analysissequencing assayoai:fairsharing_record:182026-03-26T09:45:45Zhttps://doi.org/10.25504/FAIRsharing.9qv71fFAIRsharing record for: Systems Biology Markup LanguageThis FAIRsharing record describes: The Systems Biology Markup Language (SBML) is a machine-readable exchange format for computational models of biological processes. Its strength is in representating phenomena at the scale of biochemical reactions, but it is not limited to that. By supporting SBML as an input and output format, different software tools can operate on the same representation of a model, removing chances for errors in translation and assuring a common starting point for analyses and simulations.FAIRsharing TeamSystems BiologyMetabolomicsComputational BiologyStructural BiologyProteomicsmolecular entityenzymatic reactionpathwayoai:fairsharing_record:192025-07-23T10:58:20Zhttps://doi.org/10.25504/FAIRsharing.azr389FAIRsharing record for: ElectroCardioGraphy OntologyThis FAIRsharing record describes: The Electrocardiography (ECG) Ontology is a Driving Biological Project of the NCBO. The ECG Ontology will contain terms for describing electrocardiograms, their capture method(s) and their waveforms. This ontology was developed and is being maintained by the CardioVascular Research Grid (www.cvrg.org).FAIRsharing TeamBiomedical Scienceheartelectrocardiographyoai:fairsharing_record:202026-03-26T10:04:59Zhttps://doi.org/10.25504/FAIRsharing.cp0ybcFAIRsharing record for: Wf4Ever Research Object Model 1.0This FAIRsharing record describes: The Wf4Ever Research Object Model provides a vocabulary for the description of workflow-centric Research Objects: aggregations of resources relating to scientific workflows.FAIRsharing TeamNatural ScienceResource metadataReproducibilityoai:fairsharing_record:212025-07-23T10:58:20Zhttps://doi.org/10.25504/FAIRsharing.5403xFAIRsharing record for: Medaka Fish OntologyThis FAIRsharing record describes: A structured controlled vocabulary of the anatomy and development of the Japanese medaka fish, Oryzias latipes.FAIRsharing TeamLife ScienceAnatomyDevelopmental Biologycell cycleoai:fairsharing_record:222026-03-26T10:05:12Zhttps://doi.org/10.25504/FAIRsharing.cnbjknFAIRsharing record for: Single Nucleotide Polymorphism OntologyThis FAIRsharing record describes: The SNP Ontology is a domain ontology that provides a formal representation (OWL-DL) of genomic variations. Despite its name, SNP-Ontology, is not limited to the representation of SNPs but it encompasses genomic variations in a broader meaning. The SNP Ontology is general enough to enable the representation of variations observed in the genome of various species.FAIRsharing TeamProteomicsGenomicsdeoxyribonucleic acidGenetic PolymorphismSNPgenomesequence variantgenotypeoai:fairsharing_record:232026-03-26T10:12:05Zhttps://doi.org/10.25504/FAIRsharing.00adc9FAIRsharing record for: Library of Congress Subject Headings Supplemental Vocabularies: Children’s HeadingsThis FAIRsharing record describes: The Library of Congress Subject Headings Supplemental Vocabularies: Children’s Headings (LCSHAC) is a thesaurus which is used in conjunction with LCSH. It is not a self-contained vocabulary, but is instead designed to complement LCSH and provide tailored subject access to children and young adults when LCSH does not provide suitable terminology, form, or scope for children.FAIRsharing TeamHumanities and Social ScienceLiterary Studiesoai:fairsharing_record:242026-03-26T10:06:07Zhttps://doi.org/10.25504/FAIRsharing.68threFAIRsharing record for: Metagenome/Microbes Environmental OntologyThis FAIRsharing record describes: An Ontology for organismal habitats (especially focused on microbes)FAIRsharing TeamMicrobiologyGenomicsMetagenomeoai:fairsharing_record:252026-04-15T14:24:27Zhttps://doi.org/10.25504/FAIRsharing.vvhpssFAIRsharing record for: Minimum Information About Somatic MutationThis FAIRsharing record describes: MIASM was developed for the collection of somatic variations to promote standards for annotations of somatic variation data, and to promote data integration with other data resources.FAIRsharing TeamLife ScienceBiomedical ScienceEpidemiologyobsolete Somatic mutationdiseaseoai:fairsharing_record:262026-03-26T10:06:18Zhttps://doi.org/10.25504/FAIRsharing.emw6amFAIRsharing record for: OntoNeuroLOGThis FAIRsharing record describes: The NeuroLOG project (now completed) developed a distributed platform to support multi-centric studies in neurosciences. The platform was deployed over 5 neuroscience centers spread all over France (Grenoble, Nice, Paris, Rennes). It enabled neurodata stores federation, neurodata analysis pipelines description and delivered grid computing capability to support data-intensive experiments in a secured environment. The aim of OntoNeuroLog was the design of a common semantic model providing a unified view on all data and tools to be shared between NeuroLOG partners. Please note that, although this ontology is still available (and therefore we retain its 'Ready' status in FAIRsharing), the project that produced it is complete, and it is unlikely to have any additional updates. It was first published in 2008 and the last activity was uploading it to BioPortal in 2013. FAIRsharing TeamBiomedical ScienceNeuroscienceoai:fairsharing_record:272026-03-26T09:55:35Zhttps://doi.org/10.25504/FAIRsharing.gt5cazFAIRsharing record for: Minimum Information about a Protein Affinity ReagentThis FAIRsharing record describes: MIAPAR is intended to be used as a guideline for experimentalists who wish to unambiguously describe protein affinity reagents and their protein targets (including but not limited to Ab/Ag interactions). It specifies the minimum amount of information which should be present, or directly traceable, in any publication, database entry or commercial catalogue describing either the production or use of affinity reagents such as antibodies, aptamers, protein scaffolds etc. The Minimum Information about a Protein Affinity Reagent MIAPAR is available for public comment.FAIRsharing TeamOmicsProteomicsProteolytic digestExperimental measurementreagentprotein bindingassayprotein expression profiling assayintensityproteinoai:fairsharing_record:282026-03-26T09:47:28Zhttps://doi.org/10.25504/FAIRsharing.y2qkstFAIRsharing record for: Drosophila anatomy ontologyThis FAIRsharing record describes: An ontology of the anatomy of Drosophila melanogaster. It can be used for annotation and classification of data related to Drosophila anatomy, such as gene expression, phenotype and images. It was originally developed by FlyBase, who continue to maintain it and use it for curation.FAIRsharing TeamLife ScienceAnatomyDevelopmental Biologygene expressionphenotypelife cycle stageoai:fairsharing_record:292026-03-26T09:47:29Zhttps://doi.org/10.25504/FAIRsharing.p52pzjFAIRsharing record for: Drosophila developmental ontologyThis FAIRsharing record describes: An ontology of the developmental stages of Drosophila melanogaster. It provides a controlled vocabulary for use in annotation and classification of data related to Drosophila, such as gene expression, phenotypes and images.FAIRsharing TeamLife ScienceDevelopmental Biologylife cyclelife cycle stageoai:fairsharing_record:302025-07-23T10:58:22Zhttps://doi.org/10.25504/FAIRsharing.n66krdFAIRsharing record for: Neural ElectroMagnetic OntologiesThis FAIRsharing record describes: Neural ElectroMagnetic Ontology (NEMO) describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive/behavioral) attributes, and data-level attributes (acquisition and analysis parameters). FAIRsharing curators have been unable to contact the project developers, and as such this record has been marked as Uncertain. Please contact us if you have any information on this resource.FAIRsharing TeamLife ScienceNeurobiologyCognitive NeuroscienceImagingneuroncognitionelectroencephalographybrainoai:fairsharing_record:312026-03-26T09:45:51Zhttps://doi.org/10.25504/FAIRsharing.zevp0zFAIRsharing record for: Systems Biology Results Markup LanguageThis FAIRsharing record describes: Systems Biology Results markup language (SBRML) specifies models composed of molecular species, and their interactions (including reactions). The markup language is intended to specify results from operations carried out on models Ñ SBRML. This resource can be used to communicate experimental data as long as it is possible to express the data in terms of a reference SBML model. SBRML is a means of specifying quantitative results in the context of a systems biology model.FAIRsharing TeamLife ScienceSystems BiologyComputational Biologyenzymatic reactionoai:fairsharing_record:322026-03-26T09:43:57Zhttps://doi.org/10.25504/FAIRsharing.20df5wFAIRsharing record for: ENCODE peak information FormatThis FAIRsharing record describes: The ENCODE peak information Format is used to provide called regions of signal enrichment based on pooled, normalized (interpreted) data.FAIRsharing TeamLife ScienceAnnotationdeoxyribonucleic acidgenomeregulatory regionoai:fairsharing_record:332026-03-26T09:47:34Zhttps://doi.org/10.25504/FAIRsharing.ny3z9jFAIRsharing record for: Biological Imaging methods OntologyThis FAIRsharing record describes: A structured controlled vocabulary of sample preparation, visualization and imaging methods used in biomedical research.FAIRsharing TeamLife ScienceBiomedical ScienceImagingassayoai:fairsharing_record:342025-07-23T10:58:22Zhttps://doi.org/10.25504/FAIRsharing.fw8k2kFAIRsharing record for: Thesaurus for Animal Physiology and Livestock SystemsThis FAIRsharing record describes: TriPhase is a large thesaurus in the domain of animal physiology and livestock designed by INRA. This resource has been marked as Uncertain as we cannot find a homepage, publication or other documentation for it. Please contact us if you have any information regarding this resource.FAIRsharing TeamAnimal PhysiologyLife ScienceAnimal HusbandryLivestockoai:fairsharing_record:352026-03-26T10:07:00Zhttps://doi.org/10.25504/FAIRsharing.sm90nhFAIRsharing record for: WormBase Life Stage ontologyThis FAIRsharing record describes: A structured controlled vocabulary of the development of Caenorhabditis elegans. This resource is also referred to as the Life Stage ontology on the wormbase database.FAIRsharing TeamLife ScienceDevelopmental Biologylife cyclelife cycle stageoai:fairsharing_record:362026-03-26T09:44:04Zhttps://doi.org/10.25504/FAIRsharing.3gxr9bFAIRsharing record for: Simple Omnibus Format in TextThis FAIRsharing record describes: Using Simple Omnibus Format in Text (SOFT), researchers can readily upload and download data. The resource is text-based so can be compatible with simple spreadsheets and data applications. A SOFT file can simultaneously contain both tabulated data as well as descriptive information for a chain of related Platforms, Samples, and/or Series records.FAIRsharing TeamLife ScienceFunctional GenomicsassayDNA microarrayoai:fairsharing_record:372026-03-26T10:07:20Zhttps://doi.org/10.25504/FAIRsharing.jkt8yeFAIRsharing record for: i2b2-patient_visit_dimensionsThis FAIRsharing record describes: This database is a tool for describing patient information and facts such as patient health history, diagnosis, medication etc...This is supported by the i2b2 software. Datasets are gathered from a variety of sources. The i2b2 team merged with the TranSMART Foundation in 2017.FAIRsharing TeamHealth ScienceMedicinephenotypeoai:fairsharing_record:382026-03-26T10:00:28Zhttps://doi.org/10.25504/FAIRsharing.cfcd4rFAIRsharing record for: Neurophysiology Data Translation FormatThis FAIRsharing record describes: The purpose of the Neurophysiology Data Translation Format (NDF) is to provide a means of sharing neurophysiology experimental data and derived data between services and tools developed within the CARMEN project. This document specifies the NDF. The specification supports the types of data that are currently used by members of the CARMEN consortium and provides a capability to support future data types. It is capable of accommodating external data file formats as well as metadata such as user defined experimental descriptions and the history (provenance) of derived data.FAIRsharing TeamLife ScienceNeurophysiologyneuronassayoai:fairsharing_record:392026-03-26T09:41:58Zhttps://doi.org/10.25504/FAIRsharing.gp3r4nFAIRsharing record for: Preferred Reporting Items for Systematic reviews and Meta-AnalysesThis FAIRsharing record describes: PRISMA is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses.The aim of the PRISMA Statement is to help authors improve the reporting of systematic reviews and meta-analyses. This resource focuses on randomized trials, but can also be used as a basis for reporting systematic reviews of other types of research, particularly evaluations of interventions.FAIRsharing TeamPreclinical StudiesBiomedical Sciencesystematic review study designdata transformationoai:fairsharing_record:402026-03-26T10:07:48Zhttps://doi.org/10.25504/FAIRsharing.ge8y23FAIRsharing record for: Groundnut OntologyThis FAIRsharing record describes: The Groundnut Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.FAIRsharing TeamAgricultureLife ScienceBotanyfoodphenotypePlant Phenotypes and Traitsoai:fairsharing_record:412025-07-23T10:58:23Zhttps://doi.org/10.25504/FAIRsharing.j9e8qdFAIRsharing record for: Protein Affinity Reagent Controlled VocabularyThis FAIRsharing record describes: The scopes of molecular interactions and protein affinity reagents are largely overlapping but are also partially unique. This fact is reflected in the PSI-PAR CV, which contains the majority of the terms from the PSI-MI CV and an additional ∼200 new terms as of its creation in 2009.FAIRsharing TeamLife Sciencemolecular interactionaffinityproteinoai:fairsharing_record:422026-03-26T09:44:07Zhttps://doi.org/10.25504/FAIRsharing.qz30cxFAIRsharing record for: GlycoCT carbohydrate sequence formatThis FAIRsharing record describes: GlycoCT format is devised to describe the carbohydrate sequences, with a controlled vocabulary to name monosaccharides, adopting IUPAC rules to generate a consistent, machine-readable nomenclature, based on a connection table approach, instead of a linear encoding scheme. The format uses a block concept to describe frequently occurring special features of carbohydrate sequences like repeating units. It exists in two variants, a condensed form and a more verbose XML syntax. Sorting rules assure the uniqueness of the condensed form, thus making it suitable as a direct primary key for database applications, which rely on unique identifiers. GlycoCT encompasses the capabilities of the heterogeneous landscape of digital encoding schemata in glycomics and is thus a step forward on the way to a unified and broadly accepted sequence format in glycobioinformatics.FAIRsharing TeamBioinformaticscarbohydrateglycobiologyoai:fairsharing_record:432026-03-26T09:49:56Zhttps://doi.org/10.25504/FAIRsharing.FrSPDiFAIRsharing record for: Artificial Nutrition ThesaurusThis FAIRsharing record describes: This thesaurus is based on the vocabulary used in scientific publications for Artificial nutrition and neighbor fields. It contains more than 2500 concepts in two languages (English and French), including various variants (synonyms, acronyms) divided into a number of microthesauri where the terms are grouped around a theme or a semantic field.FAIRsharing TeamNutritional ScienceMedicineArtificial nutritionoai:fairsharing_record:442025-07-23T10:58:23Zhttps://doi.org/10.25504/FAIRsharing.82t0w2FAIRsharing record for: Leukocyte Surface MarkersThis FAIRsharing record describes: An ontology of CD markers for lymphocyte classification in the cell ontology, and other categories of surface and secreted proteins useful for discriminating between lymphocyte subsets by flow cytometry, ELISPOT, ELISA and other assays typically used for phenotypic identification of individual lymphocytes or lymphocyte populations have been included.FAIRsharing TeamLife Scienceoai:fairsharing_record:452026-03-26T09:42:05Zhttps://doi.org/10.25504/FAIRsharing.jw7rq3FAIRsharing record for: Minimum Information for Reporting Next Generation Sequencing GenotypingThis FAIRsharing record describes: MIRING defines the minimum information needed to describe genotyping results for HLA and KIR genes generated using Next Generation Sequencing (NGS) methods, allowing reinterpretation in light of continuous developments in reference sequence and genomic alignment resources for these genes. MIRING further defines the elements of a message to be used to exchange genotyping results. Use of MIRING ensures the long-term portability and broad application of NGS genotyping data for histocompatibility, immunogenetic and immunogenomic applications.FAIRsharing TeamLife ScienceAnnotationNext Generation Sequencinggenotypeoai:fairsharing_record:462026-03-26T09:50:02Zhttps://doi.org/10.25504/FAIRsharing.OsiqlFFAIRsharing record for: IUPAC Compendium of Chemical TerminologyThis FAIRsharing record describes: The IUPAC Gold Book is a database of ~12000 chemical concepts derived from IUPAC's Recommendations published in Pure and Applied Chemistry.FAIRsharing TeamLipidomicsMedicinal ChemistryMetabolomicsBiochemistryAnalytical ChemistrySynthetic ChemistryChemistryClinical ChemistryOrganic ChemistryPhysical ChemistryComputational ChemistryPolymer ChemistrySynthesis ChemistrySolid-State ChemistryMolecular Physical ChemistryTheoretical ChemistryFood Chemistrysmall moleculeoai:fairsharing_record:472026-03-26T10:08:37Zhttps://doi.org/10.25504/FAIRsharing.9091d9FAIRsharing record for: GEneral Multilingual Environmental ThesaurusThis FAIRsharing record describes: The GEneral Multilingual Environmental Thesaurus (GEMET) was created as a “general” environmental thesaurus, aimed to define a common general language with a core of general terminology for the environment. It is the reference vocabulary of the European Environment Agency (EEA) and its Network (Eionet).FAIRsharing TeamEnvironmental ScienceBiodiversityEcologyoai:fairsharing_record:482026-03-26T09:47:44Zhttps://doi.org/10.25504/FAIRsharing.efv7gwFAIRsharing record for: HOMologyThis FAIRsharing record describes: This ontology represents concepts related to homology, as well as other concepts used to describe similarity and non-homology.FAIRsharing TeamLife ScienceAnatomymolecular entityhomologouslife cycle stageoai:fairsharing_record:492025-07-23T10:58:23Zhttps://doi.org/10.25504/FAIRsharing.zbmg97FAIRsharing record for: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic ResearchThis FAIRsharing record describes: Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. To ensure interoperability of nutrition data systems, ENPADASI is developing an Ontology for Nutritional Studies (ONS). All descriptors of these study data characteristics will be made part of ONS and implemented as such in the research infrastructure. The descriptors for data quality will be mapped to existing or newly developed ontology terms. Integration of study quality characteristics with the ONS will enable the consideration of study quality during the querying of the nutrition research infrastructure and interoperability with other data systems.FAIRsharing TeamNutritional ScienceBiomedical ScienceEpidemiologyoai:fairsharing_record:502026-03-26T09:44:16Zhttps://doi.org/10.25504/FAIRsharing.d69ee0FAIRsharing record for: ISO 19136-1:2020 Geographic information -- Geography Markup Language -- Part 1: FundamentalsThis FAIRsharing record describes: The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. Generic geographic data sets are described using GML via points, lines and polygons. GML also supports community-specific extensions, allowing users to refer to objects such as roads, highways, and bridges instead of points, lines and polygons. GML is both a Open Geospatial Consortium (OGC) and an ISO (ISO 19136-1:2020) standard, and therefore abbreviations from both sources are included in the record.FAIRsharing TeamGeographyGeographic locationoai:fairsharing_record:512025-12-11T12:18:56Zhttps://doi.org/10.25504/FAIRsharing.Yvc76FFAIRsharing record for: International GeoSample NumberThis FAIRsharing record describes: The IGSN is a globally unique persistent identifier for physical specimens. The IGSN registration service will facilitate the discovery, access, and sharing of samples, ensure preservation and access of sample data, aid identification of samples in the literature, and advance the exchange of digital sample data among interoperable data systems. FAIRsharing TeamSubject Agnosticoai:fairsharing_record:522023-05-11T16:04:32Zhttps://doi.org/10.25504/FAIRsharing.5e5n7cFAIRsharing record for: APA Occupational and Employment clusterThis FAIRsharing record describes: This resource is no longer available because its underlying source material is not in scope for FAIRsharing.FAIRsharing TeamHumanities and Social Scienceoai:fairsharing_record:532026-03-26T09:56:46Zhttps://doi.org/10.25504/FAIRsharing.76c96aFAIRsharing record for: OpenAIRE Guidelines for Literature RepositoriesThis FAIRsharing record describes: OpenAIRE Guidelines for Literature Repository Managers provides orientation for repository managers to define and implement their local data management policies according to the requirements of the OpenAIRE - Open Access Infrastructure for Research in Europe.FAIRsharing TeamData ManagementSubject AgnosticResource metadataliterature curationMetadata standardizationoai:fairsharing_record:542026-03-26T09:42:16Zhttps://doi.org/10.25504/FAIRsharing.5rzy8wFAIRsharing record for: Minimum Information About Sample Preparation for a Phosphoproteomics ExperimentThis FAIRsharing record describes: This guideline describes parameters and conditions involved in phosphopeptide identification by mass spectrometry. It covers from the description and preparation of the cells and tissues to the fractionation and specific enrichment of phosphopeptides for MS analysis. The guideline is prepared in order to easily cope with many of the experimental designs used in phosphoproteomic studies.FAIRsharing TeamLife ScienceProteomicsMass spectrumpeptidechromatographyphosphorylationassaysample preparation for assayphosphoproteinpolypeptide regionoai:fairsharing_record:552025-07-23T10:58:25Zhttps://doi.org/10.25504/FAIRsharing.nttge3FAIRsharing record for: Suggested Ontology for PHARMacogenomicsThis FAIRsharing record describes: SO-Pharm is a formal ontology that represent domain knowledge in pharmacogenomics. To achieve this goal, SO-Pharm articulates ontologies from sub domains of phamacogenomics (i.e. genotype, phenotype, drug, trial representations). SO-Pharm enables to support knowledge about pharmacogenomic hypothesis, case study, and investigations in pharmacogenomics.FAIRsharing TeamLife SciencePharmacogenomicsPreclinical StudiesBiomedical Sciencedrugchemical entityphenotypegenotypeoai:fairsharing_record:562026-03-26T10:09:16Zhttps://doi.org/10.25504/FAIRsharing.3wbgm0FAIRsharing record for: Mouse PATHologyThis FAIRsharing record describes: Mouse PATHology (MPATH) ontology is a structured controlled vocabulary of mutant and transgenic mouse pathology phenotypes. This resource was developed by the Pathology Consortium of Pathbase (www.pathbase.net).FAIRsharing TeamAnatomyBiomedical Sciencemutationhistological assayphenotypediseasestrainoai:fairsharing_record:572026-03-26T10:09:17Zhttps://doi.org/10.25504/FAIRsharing.sbbbf6FAIRsharing record for: Genome Biology Ontology LanguageThis FAIRsharing record describes: To enable interoperability of genome annotations, we have developed the Genome Biology Ontology Language (GBOL) and associated stack (GBOL stack). GBOL is provenance centered and provides a consistent representation of genome derived automated predictions linked to the dataset-wise and element-wise provenance of predicted elements. GBOL is modular in design, extendible and is integrated with existing ontologies. Interoperability of linked data can only be guaranteed through the application of tools that provide the means for a continuous validation of generated linked data. The GBOL stack enforces consistency within and between the OWL and ShEx definitions. Genome wide large scale functional analyses can then easily be achieved using SPARQL queries. Additionally, modules have been developed to serialize the linked data (RDF) and to generate a plain text format files with integrated support for data provenance that that mimic the indentation structure of GenBank and EMBL formats.FAIRsharing TeamLife ScienceFunctional GenomicsAnnotationgenomeoai:fairsharing_record:582026-03-26T09:54:21Zhttps://doi.org/10.25504/FAIRsharing.gq1xtxFAIRsharing record for: Information Artifact OntologyThis FAIRsharing record describes: The Information Artifact Ontology (IAO) is an ontology of information entities, originally driven by work by the OBI digital entity and realizable information entity branch.FAIRsharing TeamBiomedical ScienceSubject AgnosticDrug reportExperimental measurementData identity and mappingassaystudy designoai:fairsharing_record:592026-03-26T09:51:10Zhttps://doi.org/10.25504/FAIRsharing.sc3be1FAIRsharing record for: Separation Markup LanguageThis FAIRsharing record describes: The HUPO-PSI Protein Separation work group is a collaboration of researchers from academia, industrial partners and software vendors. The group aims to develop reporting requirements that supplement the MIAPE parent document, describing the minimum information that should be reported about gel-based, and non-gel based separation technologies employed for proteins and peptides in proteomics. The group will also develop data formats for capturing MIAPE-compliant data about these technologies and supporting controlled vocabularies.FAIRsharing TeamLife Sciencematerial component separationproteinoai:fairsharing_record:602026-03-26T09:56:13Zhttps://doi.org/10.25504/FAIRsharing.s3swh2FAIRsharing record for: Minimum Information about an fMRI StudyThis FAIRsharing record describes: The purpose of the Minimum Information about an fMRI Study guidelines is to elaborate the principles of open and reproducible research for neuroimaging using Magnetic Resonance Imaging (MRI), and then distil these principles to specific research practices. They were created to serve as a benchmark and to raise the standards of practice and reporting in neuroimaging using MRI. These reporting guidelines were developed by the Committee on Best Practices in Data Analysis and Sharing (COBIDAS) of the Organization for Human Brain Mapping.FAIRsharing TeamBiomedical ScienceNeuroscienceAnnotationBioimagingMedical imagingneuronMagnetic Resonance ImagingBiospecimenassaymaterial storage servicedata transformationbrainneuroimaging measurementdata storageoai:fairsharing_record:612026-03-26T09:50:14Zhttps://doi.org/10.25504/FAIRsharing.agvc7yFAIRsharing record for: C. elegans phenotype ontologyThis FAIRsharing record describes: An ontology for phenotypes pertaining to the nematode Caenorhabditis elegans (C. elegans) and related nematodes used by the nematode genome database WormBase. The C. elegans Phenotype Ontology organizes terms representing observed and reported phenotypes of C. elegans and related nematodes into a hierarchy for the purpose of phenotype term discovery (e.g. using ontology browsers) and logical reasoning (e.g. inferring genes whose perturbation results in a more general phenotype based on annotations to more specific phenotypes). There is an ongoing effort to generate logical definitions that will formalize the relationship between each phenotype term and the biological entities (cells, tissues, cellular components, biological processes, etc.) that are affected.FAIRsharing TeamLife ScienceAnatomyPhenomicsOmicsphenotypeoai:fairsharing_record:622026-03-26T10:09:33Zhttps://doi.org/10.25504/FAIRsharing.zwtww5FAIRsharing record for: The Vaccine OntologyThis FAIRsharing record describes: The Vaccine Ontology (VO) was created as part of an international community-based effort to represent vaccine knowledge and to support automated reasoning. VO describes the detailed classification and definitions of vaccine components and vaccine administration processes. To ensure consistent representation of vaccine knowledge and to support automated reasoning, a community-based effort to develop the Vaccine Ontology (VO) has been initiated. This international collaborative VO development effort has been joined by many institutes and disciplines around the world. The Vaccine Ontology is also being used in a variety of applications by many user groups in academia and industry.FAIRsharing TeamPreclinical StudiesBiomedical ScienceClinical StudiesImmunologyInfectious Disease MedicinePathobiochemistrybiological_processinfection processvaccinepathogenvaccinationoai:fairsharing_record:632025-07-23T10:58:25Zhttps://doi.org/10.25504/FAIRsharing.j01xzzFAIRsharing record for: NeuroMorpho.Org species ontologyThis FAIRsharing record describes: The species ontology of NeuroMorpho.Org was updated (OntoSearch v1.3) to map the new species and strains added in NeuroMorpho.Org v6.3 release.FAIRsharing TeamNeuroscienceComputational Neuroscienceoai:fairsharing_record:642025-07-23T10:58:25Zhttps://doi.org/10.25504/FAIRsharing.64f3vaFAIRsharing record for: Phenotype Fragment OntologyThis FAIRsharing record describes: The Phenotype Fragment Ontology, together with a processing pipeline, enable the automatic decomposition and conceptualization of phenotype descriptions for the human skeletal phenome.FAIRsharing TeamLife Sciencephenotypeoai:fairsharing_record:652026-03-26T10:09:42Zhttps://doi.org/10.25504/FAIRsharing.kqt2h2FAIRsharing record for: RNA OntologyThis FAIRsharing record describes: RNAO is a controlled vocabulary pertaining to RNA function and based on RNA sequences, secondary and three-dimensional structures. The central aim of the RNA Ontology Consortium (ROC) is to develop an ontology to capture all aspects of RNA - from primary sequence to alignments, secondary and tertiary structure, and from base pairing and base stacking interactions to sophisticated motifs.FAIRsharing TeamLife ScienceBiochemistryRNA secondary structureStructureribonucleic acidsequence motifoai:fairsharing_record:662026-03-26T09:51:13Zhttps://doi.org/10.25504/FAIRsharing.rn9wzcFAIRsharing record for: Gel electrophoresis Markup LanguageThis FAIRsharing record describes: GelML is a data exchange format for describing the results of gel electrophoresis experiments. GelML is developed as a HUPO-PSI working group.FAIRsharing TeamLife ScienceProteomicsassayextractmaterial component separationelectrophoresisproteinoai:fairsharing_record:672026-03-26T10:09:48Zhttps://doi.org/10.25504/FAIRsharing.jE0WcAFAIRsharing record for: Drug Database for Inborn Errors of Metabolism OntologyThis FAIRsharing record describes: DDIEM Ontology for the Drug Database for Inborn Errors of Metabolism. The DDIEM database is a database of therapeutic strategies and treatments for inborn errors of metabolism. These strategies are classified by mechanism and outcome using the DDIEM Ontology.FAIRsharing TeamBiomedical Sciencedrugphenotypediseasegenetic disorderoai:fairsharing_record:682026-03-26T09:56:20Zhttps://doi.org/10.25504/FAIRsharing.wz1w7tFAIRsharing record for: Minimum Information About a Spinal Cord Injury experimentThis FAIRsharing record describes: MIASCI is a reporting standard for metadata regarding preclinical spinal cord injury (SCI) experiments. It is based on other reporting standards such as MIAME: minimal information about a microarray experiment. The project aims to improve the replicability of SCI research findings through this minimum information standard for describing SCI experiments and their results, and an ontology to formally describe SCI concepts and the relationships between them. Please note that the ontology remains available, even though MIASCI Online is non-functional. FAIRsharing TeamAnatomyNeurobiologyTranslational MedicineBiomedical ScienceMedicineExpression dataProtein identificationBioimagingneuronassociationassaystereo microscopemorphologybrainoai:fairsharing_record:692025-07-23T10:58:26Zhttps://doi.org/10.25504/FAIRsharing.2hh7g7FAIRsharing record for: Genomic Contextual Data Markup LanguageThis FAIRsharing record describes: The Genomic Contextual Data Markup Language (GCDML) is a core project of the Genomic Standards Consortium (GSC) that is a reference implementation the Minimum Information about a Genome Sequence (MIGS/MIMS/MIMARKS), and the extensions the Minimum Information about a Metagenome Sequence (MIMS) and Minimum Information about a MARKer gene Sequence (MIMARKS).FAIRsharing TeamLife ScienceGenomicsAnnotationdeoxyribonucleic acidMetagenomegenomeoai:fairsharing_record:702026-03-26T09:44:57Zhttps://doi.org/10.25504/FAIRsharing.ve0710FAIRsharing record for: PSI Molecular Interactions Tab-Delimited FormatThis FAIRsharing record describes: The HUPO Proteomic Standards Initiative (PSI) molecular interactions tab-delimited (MITAB) common format (versions 2.5 - 2.8) is an experimental-based interaction data information exchange format, FAIRsharing TeamLife ScienceMetabolomicsProteomicsExperimental measurementmolecular interactionstudy designproteinoai:fairsharing_record:712025-07-23T10:58:27Zhttps://doi.org/10.25504/FAIRsharing.pw2hnbFAIRsharing record for: Microbiological Common LanguageThis FAIRsharing record describes: MCL is a data exchange standard for microbiological information. In short, MCL defines terms which can be used to reference and describe microorganisms. It is designed to form a simple and generic framework leveraging the electronical exchange of information about microorganisms. MCL is loosely coupled from its actual representation technologies and is currently used to structure XML and RDF files.FAIRsharing TeamLife ScienceMicrobiologyoai:fairsharing_record:722023-05-11T15:57:25Zhttps://doi.org/10.25504/FAIRsharing.3vf3hpFAIRsharing record for: EurofutThis FAIRsharing record describes: This resource is no longer available because its underlying source material is not in scope for FAIRsharing.FAIRsharing TeamSubject Agnosticoai:fairsharing_record:732026-03-26T09:42:35Zhttps://doi.org/10.25504/FAIRsharing.4z037cFAIRsharing record for: LINCS Extended Metadata Standard: Antibody ReagentsThis FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. Antibodies are extremely useful because of their high target specificity in detection of proteins, capture of proteins for isolation, purification and quantification, and selective inhibition of protein function (e.g., membrane receptor). Important metadata to be reported include a standardized name and ID of the antibody, identity of the target protein, target organism, information on the immunogen (name, source, modification of the protein/peptide), antibody clonality, antibody isotype, antibody purity, antibody specificity, and whether it was used as a primary or secondary antibody in an assay.FAIRsharing TeamLife ScienceImmunogeneticsExpression dataReaction datacatalytic activityimmunoglobulin complex, circulatingCellular Assayoai:fairsharing_record:742026-03-26T09:56:21Zhttps://doi.org/10.25504/FAIRsharing.xjx7vyFAIRsharing record for: LINCS Extended Metadata Standard: ProteinsThis FAIRsharing record describes: LINCS Production Phase 2 Extended Metadata Standards were developed by the LINCS consortium with the goal of generating an integrated view across the diverse LINCS data resources. These guidelines are focused on the minimum required information to model LINCS assays and results and have been recommended by LINCS for adoption beyond the LINCS project. A standardized description of protein reagents is critical to link results of different LINCS assay types. Protein reagents need to be identified in a manner that enables screening results associated with a specific protein reagent (e.g., KINOMEscan) to be linked with data obtained by other assays in which that protein participates as a (material) component (e.g., in a cell-based assay readout via the L1000 transcript profiling method).FAIRsharing TeamLife ScienceProteomicsMetaproteomicsExpression dataReaction dataproteomecatalytic activityprotein-containing complexCellular AssayProtein Analysisoai:fairsharing_record:752026-03-26T10:10:05Zhttps://doi.org/10.25504/FAIRsharing.kg1x4zFAIRsharing record for: Mammalian Phenotype OntologyThis FAIRsharing record describes: The observable morphological, physiological, behavioral and other characteristics of mammalian organisms that are manifested through development and lifespan.FAIRsharing TeamLife SciencePhysiologyDevelopmental Biologybehaviorphenotypeoai:fairsharing_record:762026-03-26T09:56:24Zhttps://doi.org/10.25504/FAIRsharing.8vv5fcFAIRsharing record for: Minimum Information About a Proteomics ExperimentThis FAIRsharing record describes: MIAPE attempts to define the minimum set of information about whole proteomics experiments that would be required by a public repository.FAIRsharing TeamLife ScienceProteomicsExperimental measurementassaystudy designproteinexperimentally determinedpathogenExperimental conditionoai:fairsharing_record:772026-03-26T09:50:22Zhttps://doi.org/10.25504/FAIRsharing.4877h0FAIRsharing record for: Orthology OntologyThis FAIRsharing record describes: ORTH ontology is designed to describe sequence homology data such as gene region, gene and protein-centric orthology, paralogy, and xenology information. Depending on the database, the homology information is structured in different ways. ORTH ontology accommodates these disparate data structures in a single terminology.FAIRsharing TeamComparative Genomicsproteinregiongenehomologousorthologousparalogousoai:fairsharing_record:782026-03-26T10:01:37Zhttps://doi.org/10.25504/FAIRsharing.hza1ecFAIRsharing record for: Binary Alignment Map FormatThis FAIRsharing record describes: BAM is the compressed binary version of the Sequence Alignment/Map (SAM) format, a compact and indexable representation of nucleotide sequence alignments. Many next-generation sequencing and analysis tools work with SAM/BAM. For custom track display, the main advantage of indexed BAM over PSL and other human-readable alignment formats is that only the portions of the files needed to display a particular region are transferred to UCSC. This makes it possible to display alignments from files that are so large that the connection to UCSC would time out when attempting to upload the whole file to UCSC. Both the BAM file and its associated index file remain on your web-accessible server (http, https, or ftp), not on the UCSC server. UCSC temporarily caches the accessed portions of the files to speed up interactive display.FAIRsharing TeamLife ScienceComputational BiologyGenomicsdeoxyribonucleic acidsequence alignmentsequencing assayregionoai:fairsharing_record:792026-03-26T10:10:15Zhttps://doi.org/10.25504/FAIRsharing.b3c5ckFAIRsharing record for: Bilingual lexicon of water related texts and dataThis FAIRsharing record describes: This terminology is also known as the Lexique bilingue des textes et des données sur l'eau. The Lexeau project is in the research and developement stage, using existing software to test the lexicon model and user interface on specific themes of the water domain such as flooding. This resource does not have a specific homepage, and currently is only available via AgroPortal.FAIRsharing TeamEnvironmental ScienceWater ManagementEarth ScienceWater Researchoai:fairsharing_record:802026-03-26T10:01:41Zhttps://doi.org/10.25504/FAIRsharing.6f7m6jFAIRsharing record for: Simulation Experiment Description Markup LanguageThis FAIRsharing record describes: SED-ML is an XML-based format for encoding simulation setups, to ensure exchangeability and reproducibility of simulation experiments. It follows the requirements defined in the MIASE guidelines. SED-ML encodes in a computer-readable exchange format the information required by MIASE to enable reproduction of simulation experiments. It has been developed as a community project and it is defined in a detailed technical specification and additionally provides an XML schema.FAIRsharing TeamLife ScienceSystems Biologyenzymatic reactionoai:fairsharing_record:812026-03-26T09:56:28Zhttps://doi.org/10.25504/FAIRsharing.t7mby9FAIRsharing record for: ISO 19115-1:2014 Geographic information -- Metadata -- Part 1: FundamentalsThis FAIRsharing record describes: ISO 19115-1:2014 defines the schema required for describing geographic information and services by means of metadata. It provides information about the identification, the extent, the quality, the spatial and temporal aspects, the content, the spatial reference, the portrayal, distribution, and other properties of digital geographic data and services.FAIRsharing TeamGeographyEarth ScienceGeoinformaticsGeographic locationoai:fairsharing_record:822026-03-26T09:48:17Zhttps://doi.org/10.25504/FAIRsharing.1rj558FAIRsharing record for: Teleost Taxonomy OntologyThis FAIRsharing record describes: This is an ontology of taxonomic terms (names of taxonomic groups) used in the systematics of fish, including non-teleost groups such as Chondrichthys (sharks and rays), Sarcopterygii (lungfish and coelacanths), lampreys, and hagfish.FAIRsharing TeamLife ScienceTaxonomic classificationoai:fairsharing_record:832026-03-26T10:01:45Zhttps://doi.org/10.25504/FAIRsharing.26dmbaFAIRsharing record for: mz Markup LanguageThis FAIRsharing record describes: mzML was formed to amalgamate two formats for encoding raw spectrometer data; mzData developed by the PSI, and, mzXML developed at the Seattle Proteome Center at the Institute for Systems Biology. The PSI, with full participation by the ISB, developed the new format by taking the best aspects of each of the precursors to form a single, less confusing, format.FAIRsharing TeamLife ScienceLipidomicsMetabolomicsProteomicsData IntegrationMass spectrummass spectrometry assaygas chromatography mass spectrometryliquid chromatography mass spectrometryoai:fairsharing_record:842026-03-26T09:45:02Zhttps://doi.org/10.25504/FAIRsharing.b7z8byFAIRsharing record for: Digital Imaging and COmmunications in MedicineThis FAIRsharing record describes: DICOM — Digital Imaging and Communications in Medicine — is the international standard for medical images and related information (ISO 12052:2017). It defines the formats for medical images that can be exchanged with the data and quality necessary for clinical use. DICOM is implemented in devices relating to radiology, cardiology imaging, dentistry and radiotherapy (X-ray, CT, MRI, ultrasound, etc.), and increasingly in devices in other medical enterprise imaging and research domains such as ophthalmology, dermatology and digital anatomical pathology (including whole slide imaging). FAIRsharing TeamAnatomyDentistryBiomedical ScienceDermatologyNuclear MedicineOphthalmologyDigital Image ProcessingPathologyCardiologyMedicineMedical PhysicsAnnotationData retrievalImagingBioimagingMedical imagingmicroscopyoptical microscopyMagnetic Resonance ImagingPositron Emission TomographyFunctional Magnetic Resonance Imagingradiotherapyhistological assayneuroimaging measurementFAIRDigital pathologywhole slide imagingoai:fairsharing_record:852026-03-26T10:10:34Zhttps://doi.org/10.25504/FAIRsharing.ay74mjFAIRsharing record for: Symptom OntologyThis FAIRsharing record describes: The symptom ontology was designed around the guiding concept of a symptom being: "A perceived change in function, sensation or appearance reported by a patient indicative of a disease". There is a close relationship between Signs and Symptoms, where Signs are the objective observation of an illness. The Symptom Ontology will work to broaden its scope to capture and document in a more robust manor these two sets of terms. At times, the same term may be both a Sign and a Symptom.FAIRsharing TeamLife SciencePain MedicineBiomedical SciencePatient Carediseasediagnosisoai:fairsharing_record:862025-07-23T10:58:27Zhttps://doi.org/10.25504/FAIRsharing.m3wzgsFAIRsharing record for: Fly taxonomyThis FAIRsharing record describes: "Fly taxonomy" provides taxonomic information about the Fruit fly family (Drosophilidae). This information is a combination of NCBI TAXON data and from the following paper: Grimaldi, D.A."A phylogenetic, revised classification of Genera in the Drosophilidae (Diptera)" Bulletin of the American Museum of Natural History. New York: New York . American Museum of Natural History, 1990.FAIRsharing TeamLife ScienceTaxonomic classificationoai:fairsharing_record:872026-03-26T09:48:20Zhttps://doi.org/10.25504/FAIRsharing.zn05taFAIRsharing record for: Parkinson's Disease OntologyThis FAIRsharing record describes: The Parkinson's Disease Ontology (PDO) was created to represent and model the Parkinson's Disease knowledge domain. This ontology with a covers major biomedical concepts from molecular to clinical features of the disease as well as the different views on disease features held by molecular biologists, clinicians and drug developers. This resource has been created for use in the IMI-funded AETIONOMY project (www.aetionomy.org).FAIRsharing TeamMolecular biologyDrug DiscoveryPreclinical StudiesBiomedical ScienceParkinson's diseasediseaseoai:fairsharing_record:882026-03-26T10:10:52Zhttps://doi.org/10.25504/FAIRsharing.ngv2xxFAIRsharing record for: Apollo-SVThis FAIRsharing record describes: Apollo-SV, developed as an OWL specification, defines the terms and relations necessary for interoperation between epidemic simulators and public health application software that interface with these simulators.FAIRsharing TeamPopulation GeneticsBiomedical ScienceEcologyEpidemiologyinfection processpathogenoai:fairsharing_record:892026-03-26T10:10:58Zhttps://doi.org/10.25504/FAIRsharing.ctqJoRFAIRsharing record for: Inist Periodic Table of the Elements Trilingual ThesaurusThis FAIRsharing record describes: This trilingual thesaurus (French, English, Spanish) deals with the 118 chemical elements of the periodic table recognized by the IUPAC. It is aligned with ChEBI, wikidata, wikipedia, DBpedia.FAIRsharing TeamChemistrychemical entitychemical elementoai:fairsharing_record:902026-03-26T10:11:00Zhttps://doi.org/10.25504/FAIRsharing.a1j1a7FAIRsharing record for: Pre-eclampsia OntologyThis FAIRsharing record describes: The PEO incorporates a wide range of key concepts and terms of PE from clinical and biomedical research in structuring the knowledge base that is specific to PE.FAIRsharing TeamClinical StudiesGynecologyObstetricsoai:fairsharing_record:912026-03-26T09:45:08Zhttps://doi.org/10.25504/FAIRsharing.3mdt9nFAIRsharing record for: Chemical Markup LanguageThis FAIRsharing record describes: CML (Chemical Markup Language) is an XML language designed to hold most of the central concepts in chemistry. It was the first language to be developed and plays the same role for chemistry as MathML for mathematics and GML for geographical systems. CML covers most mainstream chemistry and especially molecules, reactions, solid-state, computation and spectroscopy as well as a wide range of chemical properties, parameters and experimental observation. It is particularly concerned with the communication between machines and humans, and machines to machines.FAIRsharing TeamLife ScienceBiochemistryChemistryStructureReaction datamolecular entityspectroscopyoai:fairsharing_record:922026-03-26T09:56:33Zhttps://doi.org/10.25504/FAIRsharing.zvrep1FAIRsharing record for: Minimal Information about a Marker Sequence: specimen for marker gene sequences from cultured or voucher-identifiable specimensThis FAIRsharing record describes: Minimal Information about a Marker Sequence: specimen (MIMARKS-SP/MIMARKS-C) for marker gene sequences from cultured or voucher-identifiable specimens is a checklist that is a part of the larger MIxS standard. MIxS, or the Minimum Information about any (X) Sequence, is a standard for describing the contextual information about the sampling and sequencing of any genomic sequence. Each checklist includes the required, recommended and optional metadata fields for a specific type of genomic sequence. This checklist concerns marker gene sequences from cultured or voucher-identifiable specimens.FAIRsharing TeamLife ScienceTranscriptomicsGenomicsResource metadataDNA sequencedeoxyribonucleic acidribosomal RNAGenetic Markersequencing assaycystolic 16S rRNAoai:fairsharing_record:932026-03-26T10:02:10Zhttps://doi.org/10.25504/FAIRsharing.hfgmanFAIRsharing record for: .ACE formatThis FAIRsharing record describes: The ACE file format is a specification for storing data about genomic contigs. The original ACE format was developed for use with Consed, a program for viewing, editing, and finishing DNA sequence assemblies. ACE files are generated by various assembly programs, including Phrap, CAP3, Newbler, Arachne, AMOS (sequence assembly) (more specifically Minimo) and Tigr Assembler v2.FAIRsharing TeamLife ScienceDNA sequencedeoxyribonucleic acidcontiggenomeoai:fairsharing_record:942026-03-26T09:56:38Zhttps://doi.org/10.25504/FAIRsharing.ca48xsFAIRsharing record for: Minimal Information About a Phylogenetic Analysis ChecklistThis FAIRsharing record describes: The MIAPA (Minimum Information About a Phylogenetic Analysis) checklist details the list of metadata necessary for researchers to evaluate or reuse a published phylogeny.FAIRsharing TeamLife SciencePhylogenyPhylogeneticsGenomicsDNA sequencedeoxyribonucleic aciddata transformationoai:fairsharing_record:952026-03-26T09:56:40Zhttps://doi.org/10.25504/FAIRsharing.pvdrmzFAIRsharing record for: Minimum Information About a Microarray Experiment involving PlantsThis FAIRsharing record describes: MIAME/Plant is a standard describing which biological details should be captured for describing microarray experiments involving plants. Detailed information is required about biological aspects such as growth conditions, harvesting time or harvested organ(s).FAIRsharing TeamLife ScienceTranscriptomicsExpression datadeoxyribonucleic acidribonucleic acidnucleic acid hybridizationDNA microarraygenomeCistromeoai:fairsharing_record:962026-03-26T09:42:48Zhttps://doi.org/10.25504/FAIRsharing.32b10vFAIRsharing record for: Minimum Information About a Microarray ExperimentThis FAIRsharing record describes: MIAME is intended to specify all the information necessary for an unambiguous interpretation of a microarray experiment, and potentially to reproduce it. MIAME defines the content but not the format for this information.FAIRsharing TeamLife ScienceTranscriptomicsExpression dataExperimental measurementRaw microarray dataDifferential gene expression profilingdeoxyribonucleic acidribonucleic acidChIP-chip assaymicroarray assaynucleic acid hybridizationDNA microarraystudy designexperimentally determinedgenomecomparative genomic hybridization by arrayExperimental conditionoai:fairsharing_record:972026-03-26T09:56:41Zhttps://doi.org/10.25504/FAIRsharing.n7nqdeFAIRsharing record for: Minimal Information About T / NK Cell AssaysThis FAIRsharing record describes: MIATA (Minimal Information About T cell Assays) enables an objective and thorough interpretation of published results from T cell assays. Due to the high similarity between T cell assays and NK cell assays the concept has been expanded to include the Minimal Information About NK cell Assays (MIANKA).FAIRsharing TeamBiomedical ScienceImmunologyT cellImmunityassayoai:fairsharing_record:982026-03-26T10:02:15Zhttps://doi.org/10.25504/FAIRsharing.ckjmt3FAIRsharing record for: Binary sequence information FormatThis FAIRsharing record describes: A .2bit file stores multiple DNA sequences (up to 4 Gb total) in a compact randomly-accessible format. The file contains masking information as well as the DNA itself. The DNA sequence is represented as two bits per pixel with associated list of regions containing N's, and masked regions.FAIRsharing TeamLife ScienceBioinformaticsDNA sequencedeoxyribonucleic acidoai:fairsharing_record:992026-03-26T09:50:27Zhttps://doi.org/10.25504/FAIRsharing.6dba71FAIRsharing record for: GeoNames OntologyThis FAIRsharing record describes: The GeoNames Ontology makes it possible to add geospatial semantic information to the Word Wide Web. It maps to the DB schema that is used by GeoNames data export.FAIRsharing TeamGeographyGeoinformaticsGeographic locationoai:fairsharing_record:1002026-03-26T09:41:30Zhttps://doi.org/10.25504/FAIRsharing.va1hckFAIRsharing record for: Minimum Information about a Metagenome Sequence or EnvironmentalThis FAIRsharing record describes: Minimum Information About a Metagenome or Environmental Sequence (MIMS) is a checklist that is a part of the larger MIxS standard. MIxS, or the Minimum Information about any (X) Sequence, is a standard for describing the contextual information about the sampling and sequencing of any genomic sequence. Each checklist includes the required, recommended and optional metadata fields for a specific type of genomic sequence. This checklist concerns metagenome or environmental sequences.FAIRsharing TeamEnvironmental ScienceMetagenomicsTranscriptomicsGenomicsResource metadataDNA sequenceenvironmental materialsequencing assayMetagenomegenomeunclassified sequencesoai_dc.f(2021-09-30T08:46:42Z).u(2026-04-16T12:48:25Z):100