cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0084731.10fu
title: SH0084731.10FU

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: 10.15468/dl.anhnz7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.01501500000001 23.960696, 88.93817199999999 23.955119, 88.86324 23.938527, 88.79208199999999 23.911333, 88.72646400000001 23.874211, 88.668009 23.828085, 88.618161 23.774099, 88.578143 23.713591, 88.54893199999999 23.648057, 88.531232 23.579119, 88.525464 23.508478, 88.53174799999999 23.437873, 88.549913 23.369042, 88.579493 23.303676, 88.619748 23.243379, 88.669678 23.189626, 88.72805099999999 23.143734, 88.793432 23.106823, 88.864221 23.079796, 88.938687 23.063311, 89.01501500000001 23.057772, 89.09134299999999 23.063311, 89.165809 23.079796, 89.236598 23.106823, 89.301979 23.143734, 89.36035200000001 23.189626, 89.410282 23.243379, 89.450537 23.303676, 89.48011700000001 23.369042, 89.498282 23.437873, 89.504566 23.508478, 89.49879799999999 23.579119, 89.481098 23.648057, 89.451887 23.713591, 89.411869 23.774099, 89.362021 23.828085, 89.303566 23.874211, 89.237948 23.911333, 89.16679000000001 23.938527, 89.091858 23.955119, 89.01501500000001 23.960696))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076911-251120083545085/datasets/export for details.
DOI: 10.13145/bacdive17081.20251217.10
title: Thiolinea disciformis (Aruga et al. 2002) Boden and Scott 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17082.20250331.9.3
title: Thiofilum flexile (Aruga et al. 2002) Boden and Scott 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0084732.10fu
title: SH0084732.10FU

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: 10.5281/zenodo.14267569
title: De novo assembly of the transcriptome of Penium margaritaceum (PmNIES217) and metadata

description: 1. TrnityTranscriptome.okay.fastaDe novo assembly of the transcriptome of Penium margaritaceum (PmNIES217) assem led using Trinity built from raw Illumina reads.

2. Penium annotation merged.xlsList containing the complete transcriptome checked with BUSCO with 'viridiplantae_odb10' database

3. PeniumDenovoV3.cdhit99.faProteome obtained from transcriptomic sequences converted to proteins using TransDecoder

4. Penium annotation merged.tsvInterproscan (v5.60-92.0) was used to annotate the protein domains, pathways and GO terms from the InterPro database. EggNOG mapper was used to map ontology and orthogroup annotations from Viridiplantae (taxonomy ID: 33090) with percentage identity, minimum % all set to 30. BLASTP best hits from Arabidopsis (Araport11) and M. polymorpha (v6.1) were obtained by BLASTP to the proteomes also included.
DOI: 10.5281/zenodo.14267570
title: De novo assembly of the transcriptome of Penium margaritaceum (PmNIES217) and metadata

description: 1. TrnityTranscriptome.okay.fastaDe novo assembly of the transcriptome of Penium margaritaceum (PmNIES217) assem led using Trinity built from raw Illumina reads.

2. Penium annotation merged.xlsList containing the complete transcriptome checked with BUSCO with 'viridiplantae_odb10' database

3. PeniumDenovoV3.cdhit99.faProteome obtained from transcriptomic sequences converted to proteins using TransDecoder

4. Penium annotation merged.tsvInterproscan (v5.60-92.0) was used to annotate the protein domains, pathways and GO terms from the InterPro database. EggNOG mapper was used to map ontology and orthogroup annotations from Viridiplantae (taxonomy ID: 33090) with percentage identity, minimum % all set to 30. BLASTP best hits from Arabidopsis (Araport11) and M. polymorpha (v6.1) were obtained by BLASTP to the proteomes also included.
DOI: 10.15468/dl.37zcdd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((34.29833 1.921667, 34.29833 1.9225, 34.2975 1.9225, 34.2975 1.921667, 34.29833 1.921667))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022249-241126133413365/datasets/export for details.
DOI: 10.25504/fairsharing.0b5a1d
title: FAIRsharing record for: National Cancer Institute Imaging Data Commons
title: NCI IDC

description: This FAIRsharing record describes:  NCI Imaging Data Commons (IDC) is a cloud-based repository of publicly available cancer imaging data co-located with the analysis and exploration tools and resources. IDC is a node within the broader NCI Cancer Research Data Commons (CRDC) infrastructure that provides secure access to a large, comprehensive, and expanding collection of cancer research 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.ac4e2b
title: FAIRsharing record for: Bridge of Knowledge - Open Research Data Repository
title: null

description: This FAIRsharing record describes:  Bridge of Knowledge - Open Research Data Repository collects data and metadata for long-term preservation from Gdańsk University of Technology, Medical University of Gdańsk and the University of Gdańsk. To ensure reusability of archived resources the available research data are described by standards developed by dedicated, experienced scientific team. The metadata allow other external computer systems to interpret the collected data. ORD descriptions will also include data reuse or reduction scenarios to facilitate further processing. This provides researchers with the ability to meet requirements regarding research data management and dissemination set by funding agencies, publishers, and also institutional and national authorities.
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.477847
title: FAIRsharing record for: Zooniverse Data Policy
title: null

description: This FAIRsharing record describes:  The Zooniverse data policy describes how projects promoted to the Zooniverse community should be shared. Projects promoted to the Zooniverse community must fulfil a number of data requirements such as research focus, making their data open, communicate their findings and acknowledge Zooniverse.
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.2bf47f
title: FAIRsharing record for: Decentralized Identifiers
title: DIDs

description: This FAIRsharing record describes:  Decentralized identifiers (DIDs) are a new type of identifier that enables verifiable, decentralized digital identity. A DID refers to any subject (e.g., a person, organization, thing, data model, abstract entity, etc.) as determined by the controller of the DID. In contrast to typical, federated identifiers, DIDs have been designed so that they may be decoupled from centralized registries, identity providers, and certificate authorities. Specifically, while other parties might be used to help enable the discovery of information related to a DID, the design enables the controller of a DID to prove control over it without requiring permission from any other party. DIDs are URIs that associate a DID subject with a DID document allowing trustable interactions associated with that subject.
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.6e60e5
title: FAIRsharing record for: RDA DMP Common Standard for Machine-Actionable Data Management Plans
title: maDMP

description: This FAIRsharing record describes:   The Research Data Alliance DMP Common Standards Working Group deliverable for "Common Standard for Machine-Actionable Data Management Plans (maDMPS)" for enabling automatic exchange, integration, and validation of information provided in DMPs. The maDMP application profile is designed to support the exchange of information between systems, to provide basic interoperability between systems producing or consuming maDMPs, acting on behalf of stakeholders involved in the research life cycle (researchers, funders, repository managers, ICT providers, librarians, etc.) and the information represented over the whole DMP lifecycle.
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.4e9563
title: FAIRsharing record for: Stress Knowledge Map
title: SKM

description: This FAIRsharing record describes:  Stress Knowledge Map (SKM) is a knowledge graph resulting from the integration of dispersed published information on plant molecular responses to biotic and abiotic stressors. SKM enables interactive exploration of its contents, and represents a basis for network and dynamical modelling of responses. SKM contains two complementary resources: the Plant Stress Signalling model (PSS) and the Comprehensive Knowledge Network (CKN). 
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.5e52cd
title: FAIRsharing record for: ERC Panel structure
title: null

description: This FAIRsharing record describes:  A classification system for Science developed by the ERC (European Research Council) with the aim of characterising the research projects supported by ERC funding in 2021 and 2022. The contribution of Inist relates to the French translation of the headings and the creation of the RDF-SKOS version published on Loterre.
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.6f02c3
title: FAIRsharing record for: Metalloenzyme Data Bank and Analysis
title: MeDBA

description: This FAIRsharing record describes:  The Metalloenzyme Data Bank and Analysis (MeDBA) is a metalloenzyme-focused data bank and analysis tools relevant to research areas such as biochemistry, structural biology, synthetic biology, computational chemistry and drug discovery. MeDBA integrates comprehensive information of metalloenzymes (e.g., related diseases, structures, metal sites), ligands (e.g., bioactive molecules, substrates/products, drugs and drug candidates) and metalloenzyme-ligand associations (e.g., MBP, metalloenzyme-ligand complexes), which are provided for users to freely search, browse, download and analyze. Metalloenzyme-specific analysis servers are also provided, including 3D visualization of metalloenzyme structures, structure/metal active site comparison, substructure search for ligands and MBPs, and metalloenzyme profiling. 

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.08f055
title: FAIRsharing record for: DR-NTU (Data)
title: null

description: This FAIRsharing record describes:  DR-NTU (Data) is an institutional research data repository of Nanyang Technological University (NTU), Singapore. 
The repository has a mission to curate, store, preserve, make available and enable the download of digital data generated by the NTU research community in various disciplines. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.
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.01e983
title: FAIRsharing record for: PACTOLS: Peuples et Cultures, Anthroponymes, Chronologie relative, Toponymes, Oeuvres, Lieux, Sujets
title: null

description: This FAIRsharing record describes:  Controlled, standardized and multilingual vocabulary for archaeology, from prehistory to the contemporary period and for the sciences of antiquity in all their aspects.
Its name cames from its first version 
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.f1e88c
title: FAIRsharing record for: FZ-Juelich B2SHARE
title: null

description: This FAIRsharing record describes:  FZ-Juelich B2SHARE is a service developed by the EUDAT CDI. It provides researchers a solution for storing and sharing small-scale research data from diverse contexts. The local instance at Forschungszentrum Juelich is an offer for everyone within the research centre to share or publish their results with a URL and a PID (persistent identifier). B2SHARE can handle research data in a single file and distributed data across multiple files. The research data and additional metadata are stored in one record. While creating a record the user is able to fill in the (community specific) metadata. Each submitted record and each file within the record is provided with a PID. The PID can be used in publications to refer to the research data. The local B2SHARE instance at Forschungszentrum Juelich assigns DOIs as DataCite repository FZ-Juelich B2SHARE.
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.89e853
title: FAIRsharing record for: Intelligence Task Ontology and Knowledge Graph
title: ITO

description: This FAIRsharing record describes:  The Intelligence Task Ontology and Knowledge Graph (ITO) provides comprehensive, curated and interlinked data of artificial intelligence tasks, benchmarks, AI performance metrics, benchmark results and research papers. ITO ontology aims to support 1) Manual curation of AI task classification hierarchies and performance metrics, enabling more precise analyses; 2) Representing data as a graph, facilitating network-based query and analysis; 3) Allowing for easy integration and enrichment with external data, as well as simple extensibility for modeling related knowledge domains from other domains; 4) Allowing for automated deductive inference and automated knowledge base consistency checking; 5) Allowing for ongoing, collaborative expert curation of underlying ontological models. ITO aims to enable precise and network-based analyses of the global landscape of AI tasks and capabilities based on technologies that allow for easy integration and enrichment with external data, automated inference and continuous, collaborative expert curation of underlying ontological models. 
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.b71dd4
title: FAIRsharing record for: 3D Microscopy Metadata Standards (3D-MMS)
title: 3D-MMS

description: This FAIRsharing record describes:  The 3D Microscopy Metadata Standards (3D-MMS), developed by the BRAIN 3D Microscopy Working Group, help ensure that a 3D microscopy dataset is sufficiently described to support its’ re-use by scientists who did not generate the data. Adoption of 3D-MMS will aid investigators who want to share data, helping them to evaluate and decide which data can be combined. The metadata fields are organized into seven categories: Contributors, Funders, Publication, Instrument, Dataset, Specimen, and Image.  Each metadata field is specified by a name, definition, a list of allowable values, whether it is required, and the number of times it can be repeated for a dataset.  
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.c7f365
title: FAIRsharing record for: International Generic Sample Number
title: IGSN (Generic)

description: This FAIRsharing record describes:  An IGSN ID is a globally unique and persistent identifier for physical samples in all scientific fields. An IGSN ID can be applied to an individual sample, an aggregation of samples, or to a feature-of-interest (the real-world feature that the sample is taken from). From 2021, IGSN IDs are functionally DOIs and are registered with metadata encoded in the DataCite Metadata Schema. The IGSN ID, previously known as an "International GeoSample Number", naming schema has changed, to reflects the expanding scope and utilization as a partnership agreement between DataCite and the IGSN e.V.
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.fa2cf3
title: FAIRsharing record for: Resource Identification Portal 
title: RRID Portal

description: This FAIRsharing record describes:  The Resource Identification Portal was created in support of the Resource Identification Initiative, which aims to promote research resource identification, discovery, and reuse. The portal offers a central location for obtaining and exploring Research Resource Identifiers (RRIDs) - persistent and unique identifiers for referencing a research resource. A critical goal of the RII is the widespread adoption of RRIDs to cite resources in the biomedical literature and other places that reference their generation or use. RRIDs use established community identifiers where they exist, and are cross-referenced in the RII system where more than one identifier exists for a single resource. 
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.6ca1c5
title: FAIRsharing record for: Kidney Tissue Atlas Ontology
title: KTAO

description: This FAIRsharing record describes:  The Kidney Tissue Atlas Ontology (KTAO) is an ontology that integrates kidney-related cell types, cell states, locations, gene markers, disease, etc., and their relations. KTAO is developed to support the NIH-NIDDK-funded Kidney Precision Medicine Project (KPMP, http://kpmp.org). The KTAO development is also supported by the KPMP project. 
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.