cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.e12844
title: FAIRsharing record for: Marine and Hydrokinetic Data Repository
title: MHKDR

description: This FAIRsharing record describes:  The MHKDR is the repository for all data collected using funds from the Water Power Technologies Office (WPTO) of the U.S. Department of Energy (DOE). It was established to receive, manage, and make available all water power relevant data generated from projects funded by the DOE Water Power Technologies Office. This includes data from WPTO-funded projects associated with any portion of the water power project life-cycle (exploration, development, operation), as well as data produced by WPTO-funded research.
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.0ef9f5
title: FAIRsharing record for: Bologna Annotation Resource
title: BAR 3.0

description: This FAIRsharing record describes:  BAR 3.0 is a server for the annotation of protein sequences relying on a comparative large-scale analysis on the entire UniProt. With BAR 3.0 and a sequence you can annotate when possible: function (Gene Ontology), structure (Protein Data Bank), protein domains (Pfam). Also if your sequence falls into a cluster with a structural/some structural template/s we provide an alignment towards the template/templates based on the Cluster-HMM (HMM profile) that allows you to directly compute your 3D model. Cluster HMMs are available for downloading.
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.489e03
title: FAIRsharing record for: Protein Ensemble Database
title: PED

description: This FAIRsharing record describes:  The Protein Ensemble Database (PED) is an open access database for the deposition of structural ensembles, including intrinsically disordered proteins (IDPs). Manually curated data of structural ensembles measured with nuclear magnetic resonance spectroscopy, small-angle X-ray scattering, fluorescence resonance energy transfer are annotated in PED. 
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.94459d
title: FAIRsharing record for: Cork Oak Genome Portal
title: CorkOakDB

description: This FAIRsharing record describes:  CorkOakDB aims to integrate the knowledge generated from fundamental and applied studies about Quercus suber, with a focus on genetics. CorkOakDB features the first draft genome of Quercus suber, released in 2018 by the GENOSUBER consortium, and allows genome browsing and gene search. It also incorporates other types of data from cork oak scientific research, including gene expression data from publicly available datasets.
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.991d4e
title: FAIRsharing record for: Bioschemas ComputationalTool Profile
title: null

description: This FAIRsharing record describes:  The Bioschemas ComputationalTool Profile provides a way to describe bioscience tools and software on the World Wide Web. It defines a set of metadata and vocabularies, built on top of existing technologies and standards, that can be used to represent such tools in Web pages and applications. The goal of the specification is to make it easier to discover, exchange and integrate information about life science tools across the Internet.
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.bb24d8
title: FAIRsharing record for: PhenPath
title: null

description: This FAIRsharing record describes:  PhenPath includes a database and a tool: PhenPathDB collects all the functional annotations associated with a specific phenotype or to a cluster of phenotypes and PhenPathTOOL retrieves the functional annotations for two or more phenotypes.
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.826b4a
title: FAIRsharing record for: KnetMiner
title: KnetMiner

description: This FAIRsharing record describes:  KnetMiner is a knowledge platform for genes, traits, diseases and their interactions across species. We integrate a range of open-access data, transform into a knowledge graph and augment with new text-mined relationships. Free KnetMiner resources include Arabidopsis, wheat, rice and COVID-19 (publicly funded). Many other species specific datasets can be subscribed to for a fee. In addition to web-based access, the knowledge graphs can also be accessed programmatically through RDF-SPARQL and Neo4j-Cypher endpoints.
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.adbb53
title: FAIRsharing record for: Open Energy Data Initiative
title: OEDI

description: This FAIRsharing record describes:  OEDI is a centralized repository of high-value energy research datasets aggregated from the U.S. Department of Energy’s Programs, Offices, and National Laboratories. Built to enable data discoverability, OEDI facilitates access to a broad network of findings, including the data available in technology-specific catalogs like the Geothermal Data Repository and Marine Hydrokinetic Data Repository.
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.3da56b
title: FAIRsharing record for: Genomics Cohorts Knowledge Ontology
title: GECKO

description: This FAIRsharing record describes:  GECKO is an ontology to represent genomics cohort attributes. The GECKO is maintained by the CINECA project, and standardises attributes commonly used for genomics cohort description as well as individual-level data items.
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.9f8852
title: FAIRsharing record for: Gene Regulatory Network Database
title: GRAND

description: This FAIRsharing record describes:  Gene regulation plays a fundamental role in shaping tissue identity, function, and response to perturbation. Regulatory processes are controlled by complex networks of interacting elements, including transcription factors, miRNAs and their target genes. The structure of these networks helps to determine phenotypes and can ultimately influence the development of disease or response to therapy. We developed GRAND (https://grand.networkmedicine.org) as a database for computationally-inferred, context-specific gene regulatory network models that can be compared between biological states, or used to predict which drugs produce changes in regulatory network structure. The database includes 12 468 genome-scale networks covering 36 human tissues, 28 cancers, 1378 unperturbed cell lines, as well as 173 013 TF and gene targeting scores for 2858 small molecule-induced cell line perturbation paired with phenotypic information. GRAND allows the networks to be queried using phenotypic information and visualized using a variety of interactive tools. In addition, it includes a web application that matches disease states to potentially therapeutic small molecule drugs using regulatory network properties.
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.2f3180
title: FAIRsharing record for: FRBR-aligned Bibliographic Ontology
title: FaBiO

description: This FAIRsharing record describes:  FaBiO, the FRBR-aligned Bibliographic Ontology, is an ontology for recording and publishing on the Semantic Web descriptions of entities that are published or potentially publishable, and that contain or are referred to by bibliographic references, or entities used to define such bibliographic references. FaBiO entities are primarily textual publications such as books, magazines, newspapers and journals, and items of their content such as poems, conference papers and editorials. However, they also include blogs, web pages, datasets, computer algorithms, experimental protocols, formal specifications and vocabularies, legal records, governmental papers, technical and commercial reports and similar publications, and also anthologies, catalogues and similar collections.
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.768d33
title: FAIRsharing record for: Strengthening The Organization and Reporting of Microbiome Studies Checklist
title: STORMS checklist

description: This FAIRsharing record describes:  Strengthening The Organization and Reporting of Microbiome Studies (STORMS) is a checklist for reporting on human microbiome studies, organized into six sections covering covering typical sections of a scientific publication.
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.36bc7b
title: FAIRsharing record for: Materials And Molecules Basic Ontology
title: MAMBO

description: This FAIRsharing record describes:  MAMBO (Materials And Molecules Basic Ontology) is a domain ontology for molecular materials. Its main targets are: i) Allowing the retrieval of structured information regarding molecular materials and related applications (i.e. devices based on molecular materials), ii) Supporting the development of new, complex workflows for modelling systems based on molecular materials (computational modelling and data-driven techniques), iii) Integrating data generated via computational simulations and empirical 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.97da30
title: FAIRsharing record for: A Comprehensive Database of Published Microbial Signatures
title: BugSigDB

description: This FAIRsharing record describes:  BugSigDB is a Semantic MediaWiki for manually-curated summaries of the design, execution, and signatures resulting from human microbiome studies. It standardizes microbial taxa using the NCBI taxonomy, study conditions using the Experimental Factor Ontology, and sampled body sites using the Uberon Anatomy Ontology. It also collects information on study design, sample size, experimental methods, statistical analysis, and microbial diversity. Data can be viewed on the site or exported for bulk 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.b220d4
title: FAIRsharing record for: Citation Typing Ontology 
title: CiTO

description: This FAIRsharing record describes:  The Citation Typing Ontology (CiTO) is an ontology that enables the characterization of the nature or type of citations, both factually and rhetorically. It is intended to allow authors (or others) to mark citation links and to capture citation intent when someone cites a particular publication. In particular, CiTO allows the creation of metadata describing citations that are distinct from metadata describing the cited works themselves, and permits the motives of an author when referring to another document to be captured.

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.71a10c
title: FAIRsharing record for: Multi-Omics Research Factory
title: MORF

description: This FAIRsharing record describes:  MORF (Multi-Omics Research Factory) was initially created by the BBSRC-funded DETOX project, led by Prof. Gavin Thomas at the University of York, to manage large and complex multi-omics datasets. Built by biologists for biologists, it allows the whole team to access the data securely from their browser, without the need for programming skills. As data becomes publicly available, it can be accessed and further analysed here. MORF's tools are also freely-available and include the MORF genome browser, which incorporates over 100 microbial genomes, and MORFlux, a flux balance analysis (FBA) modelling tool.
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.807b9d
title: FAIRsharing record for: FAIRtracks
title: null

description: This FAIRsharing record describes:  FAIRtracks is a minimal metadata model that address the challenges posed by the FAIR principles for consolidating metadata for genomic tracks (i.e., genome browser datasets). The FAIRtracks model is implemented as a set of JSON Schemas, around which are built services for validating, augmenting, indexing and querying FAIRified metadata. 

FAIRtracks metadata annotations follow minimal requirements structured around a set of core concepts: collection, study, experiment, sample, and track. Such minimal records link to existing resources by the use of globally unique and persistent identifiers for data records in relevant repositories (through identifiers.org and n2t.net) or ontology terms (as indexed in e.g. the Ontology Lookup Service). Examples of relevant data/metadata repositories include the Sequence Read Archive (SRA), the European Genome-phenome Archive (EGA), and databases hosted by EBI and NCBI containing metadata on biological samples.
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.ad9d85
title: FAIRsharing record for: Biolink Model
title: biolink

description: This FAIRsharing record describes:  A high level datamodel of biological entities (genes, diseases, phenotypes, pathways, individuals, substances, etc) and their associations.
Biolink Model is designed as a way of standardizing types and relational structures in knowledge graphs (KGs), where the KG may be either a property graph or RDF triple store.

The schema is expressed as a YAML, which may be translated into a number of different representations including OWL, Python dataclasses, GraphQL and more. The schema assumes a property graph, where nodes represent individual entities, and edges represent relationship between entities. Biolink Model provides a schema for representing both nodes and edges. The model itself can be divided into a few parts: Entities (subjects and objects), Predicates (relationships between core concepts), Associations (statements including evidence and provenance), Entity Slots (node properties), and Edge Slots (edge properties).
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.cb7086
title: FAIRsharing record for: Linked (Open) Data Modeling Language
title: LinkML

description: This FAIRsharing record describes:  LinkML is a flexible modeling language that allows you to author schemas in YAML that describe the structure of your data. Additionally, it is a framework for working with and validating data in a variety of formats (JSON, RDF, TSV), with generators for compiling LinkML schemas to other frameworks.
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.42bab7
title: FAIRsharing record for: Characterized Lignocellulose-Active Enzymes
title: CLAE

description: This FAIRsharing record describes:  Formerly known as mycoCLAP, CLAE is a curated database of Characterized Lignocellulose-Active Enzymes, maintained by the Fungal Genomics group at Concordia University.
All the biochemical properties and annotations described in CLAE have been manually curated and are based on experimental evidence reported in published literature. The aim of CLAE is to provide data on solely characterized proteins to facilitate the functional annotation of novel lignocellulose-active proteins. The current version of CLAE contains a comprehensive set of fungal glycoside hydrolases, carbohydrate esterases and polysaccharide lyases and enzymes with auxiliary activities.
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.8d6247
title: FAIRsharing record for: Artificial Intelligence Ontology
title: AIO

description: This FAIRsharing record describes:  The Artificial Intelligence Ontology (AIO) is a systematized collection of terms covering artificial intelligence (AI) concepts, methodologies, and interrelations aimed to address the rapidly evolving landscape of AI terminolgy by providing a comprehensive framework that encompasses both technical and ethical aspects of AI technologies. The primary audience for this collection includes AI researchers, developers, and educators seeking to standardize terminology and concepts within the AI domain.
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.7ad252
title: FAIRsharing record for: NCBI Genome
title: null

description: This FAIRsharing record describes:  The Genome database contains annotations and analysis of eukaryotic and prokaryotic genomes, as well as tools that allow users to compare genomes and gene sequences from humans, microbes, plants, viruses and organelles. Users can browse by organism, and view genome maps and protein clusters.
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.be373e
title: FAIRsharing record for: SCAR Antarctic Biodiversity Portal
title: null

description: This FAIRsharing record describes:  Antarctic marine and terrestrial biodiversity data is widely scattered, patchy and often not readily accessible. In many cases the data is in danger of being irretrievably lost. Biodiversity.aq establishes and supports a distributed system of interoperable databases, giving easy access through a single internet portal to a set of resources relevant to research, conservation and management pertaining to Antarctic biodiversity. biodiversity.aq provides access to both marine and terrestrial Antarctic biodiversity data.
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.de533c
title: FAIRsharing record for: Translational Data Catalog
title: IMI Data Catalog

description: This FAIRsharing record describes:  The Translational Data Catalog is a collection of project-level metadata from large research initiatives such as IMI and H2020 in a diverse range of fields, including clinical, molecular and observational studies. Its aim is to improve the findability of these projects following FAIR data principles. The Data Catalog uses a variety of web-based software to enable remote, interactive data-mining such that important metadata and summaries of curated studies can be displayed. 
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.