cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.tbep2b
title: FAIRsharing record for: Physical Medicine and Rehabilitation
title: PhyMeRe

description: This FAIRsharing record describes:  Knowledge representation related to computer-based decision support in rehabilitation; concepts and relationships in the rehabilitation domain, integrating clinical practice, the ICD (specifically its 11th revision), the clinical investigator record ontology, the ICF and SNOMED CT.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.6cs4bf
title: FAIRsharing record for: Analytical Information Markup Language
title: AnIML

description: This FAIRsharing record describes:  The Analytical Information Markup Language (AnIML) is the emerging ASTM XML standard for analytical chemistry data. It is currently in pre-release form.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.2hzttx
title: FAIRsharing record for: Breast Cancer Grading Ontology
title: BCGO

description: This FAIRsharing record describes:  Breast Cancer Grading Ontology assigns a grade to a tumor starting from the 3 criteria of the NGS.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.93ee19
title: FAIRsharing record for: Anatomical Entity Ontology
title: AEO

description: This FAIRsharing record describes:  The AEO ontology of anatomical structures is a resource to facilitate the increase in knowledge in anatomy ontologies, supporting annotation and enabling compatibility with other anatomy ontologies. The ontology can be used to classify most organisms as its terms are appropriate for most plant and fungal tissues. It is envisaged that in future the ontology will include more non-animal anatomical terms. This ontology is available for use, and thus marked as Ready, although please note that the OBO Foundry has marked it as Inactive (a status not used within FAIRsharing), used when the project has a contact person who is responsive and a version of the ontology is available, but no edits are being made and requests for edits are either greatly delayed or not being addressed by the ontology’s editors.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.8frn6v
title: FAIRsharing record for: Histoimmunogenetics Markup Language
title: HML

description: This FAIRsharing record describes:  Histoimmunogenetics Markup Language (HML) is intended as a potentially general-purpose XML format for exchanging genetic typing data. This format supports NGS based genotyping methods, raw sequence reads, registered methodologies, reference data, complete reporting of allele and genotype ambiguity and MIRING compliant reporting.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.d50st0
title: FAIRsharing record for: Ontology of Alternative Medicine, French
title: OntoMA

description: This FAIRsharing record describes:  Common concepts for communication between traditional medicine and western medicine. (In French)
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.4e6af5
title: FAIRsharing record for: UK Archival Thesaurus
title: UKAT

description: This FAIRsharing record describes:  UK Archival Thesaurus (UKAT) is a subject thesaurus created for the archive sector in the United Kingdom. It is a controlled vocabulary that archives can use when indexing their collections and catalogues. It is intended to improve access to archives by subject, ensure that users of archives can carry out effective subject searches of archives across the UK, and promote the involvement in archives by groups which are under-represented among archive users by providing subject terms which reflect their histories and experiences. UKAT is based on the structure of the UNESCO Thesaurus, and covers education, science, culture, social/human sciences, information, communication, politics, law and economics. UNESCO was used as the basis for UKAT because a number of archives and archive projects, including The Archives Hub, had adopted it for indexing purposes. However, UNESCO sometimes lacks the depth of detailed terminology required by UK archives. UKAT therefore incorporates terms that UK repositories and projects have contributed, or have been sourced from other schemes such as Library of Congress Subject Headings and the British Education Thesaurus. Particular emphasis has been given to incorporating terms reflecting the histories and experiences of groups that are under-represented among archive users. This aims to encourage participation in archival heritage, in line with national priorities for the sector.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.cf62c2
title: FAIRsharing record for: Data, Optimization, Model and Evaluation in Machine Learning
title: DOME-ML

description: This FAIRsharing record describes:  Data, Optimization, Model and Evaluation in Machine Learning (DOME-ML, or DOME) is a set of community-wide guidelines, recommendations and checklists spanning these four areas aiming to help establish standards of supervised machine learning validation in biology. The recommendations are formulated as questions to anyone wishing to pursue implementation of a machine learning algorithm. Answers to these questions can be included, for example, in the supplementary material of published papers.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.s8g6nh
title: FAIRsharing record for: Non Randomized Controlled Trials Ontology
title: NonRCTOntology

description: This FAIRsharing record describes:  Non Randomized Controlled Trials Ontology is an ontology to help the systematic review and meta-analysis process of non randomized clinical trials.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.sxh2dp
title: FAIRsharing record for: HUPO PSI Mass Spectrometry Controlled Vocabulary
title: PSI-MS CV

description: This FAIRsharing record describes:  The PSI-MS Controlled Vocabulary is developed in common with the PSI-Proteomics Informatics group. It consists of a large collection of structured terms covering description and use of Mass Spectrometry instrumentation as well as Protein Identification and Quantitation software. The source of the terms are multiple: they include vocabulary and definitions in chapter 12 of the IUPAC nomenclature book, instrument and software vendors and developers and other user-submitted terms. Although its structure and use is linked to mzML, mzIdentML and mzQuantML, it is dynamically maintained in a OBO format. The PSI-Mass Spectrometry (MS) CV contains all the terms used in the PSI MS–related data standards. The CV contains a logical hierarchical structure to ensure ease of maintenance and the development of software that makes use of complex semantics. The CV contains terms required for a complete description of an MS analysis pipeline used in proteomics, including sample labeling, digestion enzymes, instrumentation parts and parameters, software used for identification and quantification of peptides/proteins and the parameters and scores used to determine their significance. Owing to the range of topics covered by the CV, collaborative development across several PSI working groups, including proteomics research groups, instrument manufacturers and software vendors, was necessary.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.6ynxyk
title: FAIRsharing record for: Plant Experimental Condition Ontology
title: PECO

description: This FAIRsharing record describes:  PECO is a structured, controlled vocabulary for the representation of plant experimental conditions. It describes the treatments, growing conditions, and/or study types used in various types of plant biology experiments.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.f73xhd
title: FAIRsharing record for: Pathway Ontology
title: PW

description: This FAIRsharing record describes:  The goal of the Pathway Ontology is to cover all types of biological pathways, including altered and disease pathways, and to capture the relationships between them within the hierarchical structure of a Directed Acyclic Graph (DAG). The five nodes of the ontology are: classic metabolic, regulatory, signaling, drug and disease pathways. An extensive survey of the review literature along with searches of existing pathway databases have been used to choose terms and their position within the tree. The ontology is continually expanding along with the development of Pathway and Disease Portals at RGD.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.lwak3f
title: FAIRsharing record for: Thesaurus of Blood Transfusion
title: null

description: This FAIRsharing record describes:  The thesaurus of Blood Transfusion consists of 2032 entries, in English and French.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.2vsmz5
title: FAIRsharing record for: Ocean Biogeographic Information System Schema
title: OBIS Schema

description: This FAIRsharing record describes:  The OBIS schema is a list of data fields with names, descriptions, and format notes. The Ocean Biogeographic information System (OBIS) seeks to absorb, integrate, and assess isolated datasets into a larger, more comprehensive pictures of life in our oceans. The system hopes to stimulate research about our oceans to generate new hypotheses concerning evolutionary processes, species distributions, and roles of organisms in marine systems on a global scale. The abstract maps that OBIS generates are maps that contribute to the ‘big picture’ of our oceans: a comprehensive, collaborative, world-wide view of our oceans.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.5p12xh
title: FAIRsharing record for: Ontology of Biological and Clinical Statistics
title: OBCS

description: This FAIRsharing record describes:  The Ontology of Biological and Clinical Statistics (OBCS) is a biomedical ontology in the domain of biological and clinical statistics. OBCS is primarily targeted for statistical representation in the fields in biological, biomedical, and clinical domains. OBCS uses the Basic Formal Ontology (BFO) as the upper level ontology. OBCS imports all biostatistics related terms in the Ontology for Biomedical Investigations (OBI) including all logical axioms.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.97805c
title: FAIRsharing record for: International Classification of Diseases Version 11
title: ICD 11

description: This FAIRsharing record describes:  The International Classification of Diseases (ICD) was created to allow the recording, reporting and grouping of conditions and factors that influence health. It contains categories for diseases, health related conditions, and external causes of illness or death. The purpose of the ICD is to allow the systematic recording, analysis, interpretation and comparison of mortality and morbidity data collected in different countries or areas and at different times. The ICD is used to translate diagnoses of diseases and other health problems into an alphanumeric code, which allows storage, retrieval, and analysis of the data. The ICD has become the international standard diagnostic classification for all general epidemiological and many health management purposes. ICD-11 was released in 2018 to allow Member States to prepare for implementation, including translating ICD into their national languages. Member States will start reporting using ICD-11 on 1 January 2022.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.c0bvcy
title: FAIRsharing record for: Semantic Sensor Network Ontology
title: SSN

description: This FAIRsharing record describes:  The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. With their different scope and different degrees of axiomatization, SSN (http://www.w3.org/ns/ssn/) and SOSA (http://www.w3.org/ns/sosa/) are able to support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things. 
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.cc3f2x
title: FAIRsharing record for: Ontology of Microbial Phenotypes
title: OMP

description: This FAIRsharing record describes:  The Ontology of Microbial Phenotypes (OMP) is a community ontology for annotating microbial phenotypes, including bacteria, archaea, protists, fungi, and viruses. It has been created to help with standardized capture of essential phenotypic information. OMP is designed to be compatible with other microbial phenotype ontologies, such as the Fission Yeast Phenotype Ontology (FYPO) and the Ascomycete Phenotype Ontology (APO), and aims to standardize the capture of phenotypic information to allow improved cross-species data mining and analysis.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.jbg4kp
title: FAIRsharing record for: Minimum Information Required for a Drug Metabolism Enzymes and Transporters Experiment
title: MIDE

description: This FAIRsharing record describes:  Pharmacogenomics studies are expanding exponentially, both in terms of number and amount of data generated. To facilitate future research and diagnostic applications, Affymetrix has developed a microarray targeting known genetic variations in absorption, distribution, metabolism, excretion, toxicity (ADMET) genes. The array, known as Drug Metabolising Enzymes and Transporters (DMET Plus), comprises 1,936 variants across 231genes, including 5 copy number loci involved in drug metabolism and transport. Being designed to identify genetic variants in patients presenting different drug responses and risks for adverse drug reactions, DMET constitutes a valuable tool for pharmacogenomics and clinical studies. For effective DMET data interpretation, sharing, reporting and use across the scientific community, we propose the Minimum Information required for a DMET Experiment reporting (MIDE). MIDE aims to provide reporting guidelines and describe the information required for reporting to public databases. In this article we describe MIDE and discuss its broader applications to other platforms.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.15468/dl.xrker2
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Incilius cristatus (Wiegmann, 1833)",
 "Year 1950-2020"
 ]
}

 The dataset includes 94 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112085-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gu5bas
title: Occurrence Download

description: A dataset containing 88658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Beta vulgaris L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 88658 records from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073873-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdqz98
title: Occurrence Download

description: A dataset containing 620079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oryctolagus cuniculus (Linnaeus, 1758))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 620079 records from 2083 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073871-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2fnw88
title: CCDC 2254390: Experimental Crystal Structure Determination

description: Related Article: Jing Ren, Kaiyun Liu, Jinlong Li, Xinyu Long, Kaizhi Li|2025|Org.Chem.Front.|12|5752|doi:10.1039/D5QO00751H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnwww
title: CCDC 2254409: Experimental Crystal Structure Determination

description: Related Article: Samir Barman, Nestor Garcia, E. A. Jaseer, Mohamed Elanany, Motaz Khawaji, Hassan Alasiri, Abdul Malik P. Peedikakkal, Muhammad Naseem Akhtar, Rajesh Theravalappil|2023|ACS Omega|8|26437|doi:10.1021/acsomega.3c03029
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fnwyy
title: CCDC 2254411: Experimental Crystal Structure Determination

description: Related Article: Nikolai S. Li-Zhulanov, Nadezhda P. Zaikova, Suat Sari, Dolunay Gülmez, Suna Sabuncuoğlu, Keriman Ozadali-Sari, Sevtap Arikan-Akdagli, Andrey A. Nefedov, Tatyana V. Rybalova, Konstantin P. Volcho, Nariman F. Salakhutdinov|2023|Antibiotics|12|818|doi:10.3390/antibiotics12050818
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.