cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.00873e
title: FAIRsharing record for: ChecklistBank
title: null

description: This FAIRsharing record describes:  ChecklistBank (CLB) is a repository for taxonomic datasets of various kinds that allows users to publish, discover, use and manage such lists in a variety of formats.

ChecklistBank is hosted by GBIF and developed collaboratively by GBIF and the Catalogue of Life. The software is a public-facing evolution of an internal system (also called checklist bank) that has driven the GBIF species API, and its backend (Java) and frontend (JS React) source code are managed in GitHub.
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.fe8b36
title: FAIRsharing record for: TreatmentBank 
title: TB

description: This FAIRsharing record describes:  TreatmentBank (TB) is a service provided by the Swiss Plazi GmbH to liberate data from scholarly publications, and convert, enhance, link, store, and disseminate it as Findable, Accessible, Interoperable and Reusable (FAIR) data. These data include taxonomic treatments, treatment citations, figures, tables, material citations and bibliographic reference. The data extraction processes can be highly automated to process entire journal back-issues as well as current publications. A quality control (QC) process as well as manual checks produce data fit to become reference deposits of treatments in Biodiversity Literature Repository (BLR), as well as daily uploads of treatment articles data sets to the Global Biodiversity Information Facility (GBIF), with persistent identifiers minted in BLR. Input formats can be printed to born-digital publications. All data are openly accessible in various formats and are searchable. Currently, BLR contains more than 650,000 treatments extracted from 66,000 articles, 400,000 figures and 1,040,000 material citations.
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.12eced
title: FAIRsharing record for: CETAF Registry of Collections
title: null

description: This FAIRsharing record describes:  CETAF's member institutions host natural history collections in Natural Science Museums, Natural History Museums, Botanical Gardens and Research Centres. 
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.8b65db
title: FAIRsharing record for: Global Registry of Scientific Collections
title: GRSciColl

description: This FAIRsharing record describes:  This registry of scientific collections builds on GRSciColl, a comprehensive, community-curated clearinghouse of collections information originally developed by Consortium of the Barcode of Life (CBOL).

The collections registry includes data on institutions, collections and associated staff members and spans all scientific disciplines, including earth and space sciences, anthropology, archaeology, biology and biomedicine, as well as applied fields like agriculture, veterinary medicine and technology.

The collections registry also serves as the registry for InstitutionCodes and CollectionCodes—elements used in the DarwinCore data standard used in the biodiversity informatics community. Use of these terms enables publications and databases to point unambiguously to collections and their contents.
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.066ce6
title: FAIRsharing record for: DataRepositoriUM
title: DataRepositoriUM

description: This FAIRsharing record describes:  Data Repository of the University of Minho to share, publish and manage research data from University of Minho research units. 

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.c57698
title: FAIRsharing record for: ARPHA Preprints
title: null

description: This FAIRsharing record describes:  ARPHA Preprints provides a preprint (not peer-reviewed, not copyedited and not typeset versions of manuscripts) service for those manuscripts submitted to journals hosted on the ARPHA Platform that have selected this service. Preprints are optional, therefore authors need to confirm during submission whether they want their manuscript to be posted as a preprint. ARPHA Preprints is not open for direct submission of preprints, but only through the submission systems of the participating ARPHA journals. The scope and the article type of preprints are determined by those of the journal.
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.7d66cf
title: FAIRsharing record for: Minimum Information in Spheroid IDentity
title: MISpheroID

description: This FAIRsharing record describes:  MISpheroID is a crowdsourcing database developed to support spheroid researchers by enabling the sharing of experimental data and spheroid characteristics of >3000 spheroid experiments.
Researchers can consult this database and contribute by sharing experimental data of their own spheroid experiments, with the aim of increasing transparency in the spheroid research field.
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.a98a55
title: FAIRsharing record for: EV-TRACK
title: null

description: This FAIRsharing record describes:  EV-TRACK centralizes extracellular vesicle (EV) biology and methodology to encourage authors, reviewers, editors and funders to put experimental guidelines into practice. It implements a bottom-up community consensus approach and encourages researchers to upload published and unpublished experiments and provide feedback. It is a unique resource that was developed to (i) create an informed dialogue among researchers about relevant experimental parameters, (ii) improve the rigour and interpretation of experiments studying EVs, and (iii) record the evolution of EV 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.c65664
title: FAIRsharing record for: DOE Office of Scientific and Technical Information Research Repository
title: OSTI

description: This FAIRsharing record describes:  OSTI, a unit of the Office of Science, fulfills agency-wide responsibilities to collect, preserve, and disseminate both unclassified and classified scientific and technical information (STI) emanating from DOE-funded research and development (R&D) activities at DOE national laboratories and facilities and at universities and other institutions nationwide. OSTI provides access to DOE STI through a suite of web-based, searchable discovery tools and through other commonly used search engines, offering ever-expanding sources of R&D information to DOE, the research community, and the science-attentive public. OSTI.GOV contains over 70 years of energy-related research results and citations collected by OSTI, including journal articles/accepted manuscripts and related metadata, technical reports, scientific research datasets and collections, scientific software, patents, conference and workshop papers, books and theses, and multimedia funded by DOE through a grant, contract, cooperative agreement, or similar type of funding mechanism. The OSTI collection continues to grow as new scientific and technical information resulting from DOE research becomes available. OSTI.GOV contains over 3 million records, including 1.7 million journal article records, 1 million of which have digital object identifiers (DOIs) linking to full-text articles on publishers' websites. In addition, OSTI also provides information about Office of Scientific and Technical Information and its other search tools, services, and operation (corporate submission tool, E-Link; resources about data services and developer tools, including Data ID Services, API documentation, OAI services, and DOE MARC records; and news about OSTI and its search tools and services).
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.pjyj5t
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quillaja saponaria Molina",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020664-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.1f03e2
title: FAIRsharing record for: Taylor and Francis All Life Journal Data Sharing Policy
title: null

description: This FAIRsharing record describes:  All Life is a peer-reviewed open access journal bringing together researchers with a common goal to improve life. The journal aims to foster cross-discipline collaboration and open information sharing to improve reproducibility of research. Led by an international team of expert Editors, the journal is split into subject-led sections linked with the UN’s Sustainable Development Goals to support positive global change.
The journal adhering to this policy recommend 1) the resources listed directly within this record, and 2) all resources listed in this record's parent policies (see the "extends" relationship).
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.41718d
title: FAIRsharing record for: Index Herbariorum
title: IH

description: This FAIRsharing record describes:  For the past three centuries, scientists have documented the earth’s plant and fungal diversity through dried reference specimens maintained in collections known as herbaria. As of December 1 2018, there are 3,095 active herbaria in the world today, with approximately 12,278 associated curators and biodiversity specialists. Collectively the world’s herbaria contain an estimated 387,513,053 specimens that document the earth’s vegetation for the past 400 years. Index Herbariorum is a guide to this crucial resource for biodiversity science and conservation.

The Index Herbariorum (IH) entry for an herbarium includes its physical location, URL, contents (e.g., number and type of specimens), founding date, as well as names, contact information and areas of expertise of associated staff. Only those collections that are permanent scientific repositories are included in IH. New registrants must demonstrate that their collection is accessible to scientists, and is actively managed. Each institution is assigned a permanent unique identifier in the form of a one to eight letter code, a practice that dates from the founding of IH in 1935.
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.73558b
title: FAIRsharing record for: Lightweight Information Describing Objects
title: LIDO

description: This FAIRsharing record describes:  LIDO is an XML schema intended for delivering metadata, for use in a variety of online services, from an organization’s online collections database to portals of aggregated resources, as well as exposing, sharing, and connecting data on the web. Its strength lies in its ability to support the typical range of descriptive information about objects of material culture. It can be used for all kinds of objects, e.g., art, architecture, cultural history, history of technology, and natural history.  LIDO supports multilingual application environments.
Being an application of the CIDOC Conceptual Reference Model (CRM), LIDO is the result of a collaborative effort of international stakeholders in the museum sector, starting in 2008, to create a common solution for contributing cultural heritage content to portals and other repositories of aggregated resources. LIDO is maintained under the patronage of CIDOC - ICOM International Committee for Documentation.
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.9af712
title: FAIRsharing record for: Open Microscopy Environement Next Generation File Formats
title: OME-NGFF

description: This FAIRsharing record describes:  OME-NGFF is a data record format specification for storing bioimaging data in the cloud. It is built on the ZARR specification for scientific data storage. The objective of the OME-NGFF specification is to provide a standard format to store microscopy data and metadata on the cloud and locally. 
Specification design decisions are discussed publicly (either on https://forum.image.sc or on https://github.com/ome/ngff).

Binary data, such as pixel intensities in an image, are stored in "chunked" units individually addressable, thus avoiding the need to download a whole dataset at once. Storage of pyramidal resolution is natively supported.
Metadata are stored in JSON formatted files within a OME-NGFF record, making them easy to access and parse.

 Note that OME-NGFF is being continuously developed within its community, and was specifically designed to be easy to update. However it is considered ready for use as a storage specification and already being used in production in various products.

 
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.b549b8
title: FAIRsharing record for: HUPO-PSI Universal Spectrum Identifier
title: USI

description: This FAIRsharing record describes:  The Universal Spectrum Identifier (USI) is multi-part key identifier for identifying mass spectra contained in public data repositories, primarily focused on proteomics. The USI provides a standardized mechanism for encoding a virtual path to any single mass spectrum generated by a mass spectrometer contained/deposited to public proteomics dataset repositories for enabling greater transparency of spectral evidence. With more than 1 billion USI identifications from over 3 billion spectra already available through ProteomeXchange repositories, Universal Spectrum Identifier encodes the dataset, the MS Run, the scan number and the proposed peptidoform and charge of the ions responsible for the spectrum. The USI identifier is comprised of five key components (and an optional sixth component) in defining an abstract path to a specified spectrum. The USI core components include: 1) the prefix ‘mzspec’ to make clear that the following string is a USI and to aid in automated mapping of a USI string to a URL, 2) the subsequent dataset submission or dataset collection identifier assigned by the primary repository archive, 3) the mass spectrometry run name (or root name of the raw vendor format file) such as an mzML file (with or without the file extension), 4)  a type flag (such as ‘scan’, ‘index’ or ‘nativeId’ as defined in the current mzML specification) for indicating how to interpret the fifth component, 5) the index value (based on the flag type) within the specified MS run, and optionally 6) any relevant information for interpretation of the spectrum if available. 
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.f8e156
title: FAIRsharing record for: APICURON
title: null

description: This FAIRsharing record describes:  APICURON is a database to credit and acknowledge the work of biocurators, it collects and aggregates biocuration events from third party resources and generates achievements and leaderboards. 
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.ac3ea3
title: FAIRsharing record for: MBF Bioscience Neuromorphological File Format 4.0
title: null

description: This FAIRsharing record describes:  The MBF Bioscience neuromorphological file format is an Extensible Markup Language (XML) 1.0 (Fifth Edition) format and includes two organizational aspects, elements, and attributes. These aspects are detailed in the XML specification provided by The World Wide Web Consortium (WC3). All neuromorphological data files have a header section that includes the file’s introductory content followed by any traced data elements. Traced data elements are representations of a diverse range of neuromorphological structures found in microscopy image data.

The neuromorphological file format balances structure with flexibility by storing each modeled object as a unique data element, and providing mechanisms for grouping any number and type of data elements. File-level metadata is retained to provide detail on the origin of the sample, ensuring that the provenance of derivative data is tracked and that important source information is not separated from the corresponding data.

The decision to implement each neuromorphological structure, from spines to varicosities, was influenced by top neuroscientists who sought to maintain a meaningful model and have the necessary analysis options for that entity. The file specification has evolved with academia and discovery, and will continue to be updated as needed to define added or modified data elements.

The file metadata includes the application name, application version, application Research Resource Identifier (RRID), and institution RRID. The institution RRID specifies the company, organization, or institution that produced the software which generated the neuromorphological file.
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: 10.17917/3pz5-5m44
title: Covid-19 SeroHub

description: The COVID-19 Seroprevalence Studies Hub, known as COVID-19 SeroHub, is an online dashboard and data repository intended to help researchers and policymakers monitor studies of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) seroprevalence in the United States. These types of studies use blood tests to identify the proportion of people in the population who possess antibodies to SARS-CoV-2. By abstracting and presenting seroprevalence data in a standard format, COVID-19 SeroHub helps users efficiently review numerous conducted studies and identify gaps.
DOI: 10.25504/fairsharing.0362d8
title: FAIRsharing record for: European Journal of Taxonomy Policies
title: EJT

description: This FAIRsharing record describes:  In accordance with the European Journal of Taxonomy’s FAIR Data & Open Science policy, the formatting guide for zoological and botanical specimen citations is presented in the Material Citations Formatting Guide. Authors are encouraged to prepare their manuscripts according to this model prior to submission, but they will also be given an opportunity to comply upon acceptance of the article. All extracted treatments, specimen citations and article metadata should be submitted to one of the databases recommended within this record.
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.74d22a
title: FAIRsharing record for: COVID-19 SeroHub
title: SeroHub

description: This FAIRsharing record describes:  The COVID-19 Seroprevalence Studies Hub, known as COVID-19 SeroHub, is an online dashboard intended to help researchers and policymakers monitor studies of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) seroprevalence in the United States. These types of studies use blood tests to identify the proportion of people in the population who possess antibodies to SARS-CoV-2.
COVID-19 SeroHub is a collaboration of the Centers for Disease Control and Prevention, the National Cancer Institute and National Institute of Allergy and Infectious Diseases, part of the National Institutes of Health.
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.