cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1086159.10fu
title: SH1086159.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1086160.10fu
title: SH1086160.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1086161.10fu
title: SH1086161.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1086162.10fu
title: SH1086162.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1086165.10fu
title: SH1086165.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1086166.10fu
title: SH1086166.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25504/fairsharing.0f24d5
title: FAIRsharing record for: IEEE DataPort™
title: null

description: This FAIRsharing record describes:  IEEE DataPort™ is an online data platform created, owned, and supported by IEEE, a technical professional organization. The web-based platform enables researchers to store, share, access and manage research data.
IEEE DataPort™ provides a DOI for each dataset, supports Open Access/Open Science initiatives, enables dataset owners to retain copyright and ownership rights, supplies data management workflows, and  and provides 2TB/dataset storage capacity for individuals and 10TB/dataset storage capacity for members of institutional subscribers.  All datasets are stored in Amazon AWS S3 to simplify dataset access, analysis and management. Standard datasets may be uploaded for free, and will then be available to DataPort™ subscribers. Data owners can also pay a fee to publish an "Open Access" dataset that is available to all IEEE DataPort™ users without requiring a paid subscription or membership. DataPort™ subscribers can also host private or public data competitions that provide non-subscribers with time-limited access to applicable dataset files.
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.8ee7f1
title: FAIRsharing record for: Maps - Environmental Data Platform - Eurac Research
title: Maps - EDP

description: This FAIRsharing record describes:  Maps - EDP is an open source platform for sharing geospatial data and maps. Eurac Research employees can upload their own datasets by themselves and set permissions for those 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.3de58a
title: FAIRsharing record for: OpenCitations Ontology
title: OCO

description: This FAIRsharing record describes:  The OpenCitations Ontology (OCO) is not yet another bibliographic ontology; instead, it is a place where existing and complementary ontological entities from several other ontologies are grouped to provide descriptive metadata for the OpenCitations Indexes and other OpenCitations datasets. This model is freely available for third parties to use to model their data, either for their independent use or to permit their data, conformed to the OpenCitations Data Model, to be published on their behalf by OpenCitations.
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.befb35
title: FAIRsharing record for: Iowa Research Online - University of Iowa Repository
title: IRO

description: This FAIRsharing record describes:  Iowa Research Online (ISSN 2476-1680 (online)) preserves and provides access to the research and creative scholarship created by the University of Iowa's faculty, students, and staff. The research papers, theses, dissertations, books, conference presentations, journals, data and multimedia here represent Iowa's rich intellectual and cultural community. 
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.de1f15
title: FAIRsharing record for: SONAR-netCDF4 - a convention for the storage of sonar data in netCDF4-formatted computer files
title: SONAR-netCDF4

description: This FAIRsharing record describes:  A convention for the storage and exchange of sonar data in netCDF4-formatted computer files with the aim of facilitating the use of sonar data for research and survey purposes.

Version 1 was developed to store data from fisheries omni-sonars. Version 2 added the storage of data from other acoustic equipment, including echosounders, multi-beam bathymetric sonars, and acoustic doppler current profilers, as well as the means to store processed acoustic data from such sensors.

The convention was developed by the Topic Group on Defining a data format for omnidirectional fisheries sonar, part of the International Council for the Exploration of the Sea's (ICES) Working Group on Fisheries Acoustics, Science, and Technology (WGFAST). 



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.82052d
title: FAIRsharing record for: Reporting and Exchange Format for Mass Spectrometry Quality Control Data
title: mzQC

description: This FAIRsharing record describes:  Reporting and exchange format for mass spectrometry quality control data from the HUPO-PSI Quality Control Workgroup. The mzQC format is designed for the exchange, transmission, and archiving of quality metrics derived from biological mass spectrometry data. The mzQC format aims to improve experimental protocol reproducibility, mass spectrometer instrument operator housekeeping best practices, and improved analytical insight for analysts working with mass spectrometry 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.cd317e
title: FAIRsharing record for: Edinburgh DataShare
title: null

description: This FAIRsharing record describes:  Edinburgh DataShare is a digital repository of research data produced at the University of Edinburgh, hosted by Information Services. Edinburgh University researchers who have produced research data associated with an existing or forthcoming publication, or which has potential use for other researchers, are invited to upload their dataset for sharing and safekeeping. A persistent identifier and suggested citation will be provided. CoreTrustSeal certification was first received in 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.812714
title: FAIRsharing record for: OpenAIRE Research Graph
title: null

description: This FAIRsharing record describes:  The OpenAIRE Research Graph is an open resource that aggregates a collection of research data properties (metadata, links) available within the OpenAIRE Open Science infrastructure for funders, organizations, researchers, research communities and publishers to interlink information by using a semantic graph database approach. There are a number of interfaces available for the research graph, including OpenAIRE Explore, a knowledgebase which makes the content of the OpenAIRE Research Graph publicly 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.bbd7df
title: FAIRsharing record for: IEEE 2791-2020
title: null

description: This FAIRsharing record describes:  IEEE 2791-2020 is the IEEE Standard, a reporting and documentation protocol for computational pipelines for Bioinformatics Analyses Generated by High-Throughput Sequencing (HTS) to facilitate communication. It is supported by the BioCompute Objects (https://www.biocomputeobject.org/). The major goal of the standard is to improve communication of bioinformatics protocols and data in order to facilitate bioinformatics workflow-related exchange and communication between regulatory agencies, pharmaceutical companies, and bioinformatics platform providers, and researchers. The standard has two integral parts: the standards document and the schema, the latter of which is maintained in an open source repository. This standard is meant to improve understanding and ease the organizational burden for both sponsors and FDA reviewers by providing clear guidelines for the kinds of data to be included, and the way in which the data are represented. A detailed communication helps ensure responsibility, reproducibility, verify bioinformatics protocol, track provenance information and promote interoperability.
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.c81b3c
title: FAIRsharing record for: University of Edinburgh Research Data Management Policy
title: Edinburgh RDM Policy

description: This FAIRsharing record describes:  The purpose of the University of Edinburgh Research Data Management (RDM) Policy is to make clear the responsibilities of the University and its researchers for managing research data well, in order to adhere to accepted good practice, advance the University Strategy 2030 and the Open Research Roadmap, and to provide linkages to other relevant university policies. This policy was approved by University Executive in November, 2021, following a consultation undertaken by Library Research Support. Taking effect from January, 2022, this policy supersedes and updates the first University of Edinburgh Research Data Management Policy, passed by the University Court in May, 2011.
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.551691
title: FAIRsharing record for: CERTH-HIT OpenData Hub Greece
title: null

description: This FAIRsharing record describes:  The CERTH-HIT OpenData Hub Greece contains open and multi-source mobility data for the city of Thessaloniki including speed, traffic conditions and paths.
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.71bf06
title: FAIRsharing record for: Dutch National COVID-19 clinical data dashboard
title: COVID-NL clinical data

description: This FAIRsharing record describes:  The Dutch national COVID-19 clinical data dashboard allows exploration and reuse of clinical data from Dutch university medical centers (UMCs). The dashboard provides researchers with a clear overview of what is available, allow searching for specific data and make access to such data easier when the necessary ethical and legal conditions have been met.
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.e18f7a
title: FAIRsharing record for: OpenAIRE Guidelines for institutional and thematic repository managers
title: null

description: This FAIRsharing record describes:  The OpenAIRE Guidelines for institutional and thematic Repository Managers 4.0 provide 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.

The OpenAIRE Guidelines were established to support the Open Access strategy of the European Commission and to meet requirements of the OpenAIRE infrastructure. This new version of the Guidelines, according to the expansion of the aims of the OpenAIRE initiative and its infrastructure, has a broader scope. In fact, these Guidelines are intended to guide repository manager to expose to the OpenAIRE infrastructure open access and non-open access publications together with funding information, where applicable.
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.20fe82
title: FAIRsharing record for: Electron Microscopy Image Library of Mouse Tissues
title: null

description: This FAIRsharing record describes:  Building of this virtual electron microscopy (EM) image library on normal mouse tissues is initiated as part of an EOSC-Life project at the Biocenter Oulu Transgenic and Tissue Phenotyping, and Electron Microscopy Core Facilities, University of Oulu, Finland, in collaboration with Infrafrontier. The open-access, annotated EM image library presents educative reference information for researchers using gene modified mice as disease or pre-clinical models. By providing a deeper understanding of tissues at ultrastructural level, it eases and aids in understanding structural changes and related phenotypes in mouse models. This resource is currently in development.
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.1d817c
title: FAIRsharing record for: Australian Government Link Data Working Group Persistent Identification Namespace
title: AGLDWG PID Namespace

description: This FAIRsharing record describes:  The Australian Government Linked Data Working Group (AGLDWG) advocates the use of Linked Data as a particular set of technologies to be used for Internet-distributed, machine-readable data and, due to this, advocates the use of Internationalized Resource Identifiers (IRIs) as identifiers for things.

The linked.data.gov.au namespace was implemented by the AGLDWG to govern Linked Data resources for Australia. The namespace uses pattern which can be used to create individual PIDs for infinitely many persistent identifiers for Australian Government Linked Data resources. The namespace uses a domain name that is not coupled to a particular agency's name or function. Use of this namespace was initiated in 2016 and then strengthened in 2018 with multiple Australian government agencies signing a Memorandum of Understanding to reserve the use of linked.data.gov.au for PID IRIs and to ensure its operational stability. The AGLDWG has adopted the IS0 19135 for IRI registration procedure and roles and issued Guidelines that details its PID allocation process.
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.