cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.705289
title: FAIRsharing record for: GeoRSS
title: GeoRSS

description: This FAIRsharing record describes:  GeoRSS is a lightweight and community-driven geo-extension for RSS feeds.  The GeoRSS standard adds simple geographic information encoded in geography markup (GNL) to feeds, such as coordinates or more complex geographic features like polygons.
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.b6c586
title: FAIRsharing record for: Standard for Learning Object Metadata
title: LOM

description: This FAIRsharing record describes:  Learning Object Metadata is a data model, usually encoded in XML, used to describe a learning object and similar digital resources used to support learning. The purpose of learning object metadata is to support the reusability of learning objects, to aid discoverability, and to facilitate their interoperability, usually in the context of online learning management systems (LMS)
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.c8cd18
title: FAIRsharing record for: META-SHARE Metadata Model
title: META-SHARE Metadata Model

description: This FAIRsharing record describes:  META-SHARE represents a metadata model for the description of language resources proposed in the framework of the META-SHARE infrastructure, aiming to cover both datasets and tools/technologies used for their processing. The schema covers the following resource types: corpora, lexical resources, language descriptions and technologies that can be used to process these resources.
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.f9de28
title: FAIRsharing record for: Eurac Research - openEO - backend
title: Eurac Research - openEO

description: This FAIRsharing record describes:  The Eurac Research backend provides Earth Observation (EO) data available for processing using OGC WC(P)S and the open data cube.
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.7ebdb7
title: FAIRsharing record for: Human Tumor Atlas Network Portal
title: HTAN Portal

description: This FAIRsharing record describes:  Data portal for the Human Tumor Atlas Network (HTAN). HTAN is a National Cancer Institute (NCI)-funded Cancer Moonshot initiative to construct 3-dimensional atlases of the dynamic cellular, morphological, and molecular features of human cancers as they evolve from precancerous lesions to advanced disease.  Data available on the HTAN Portal is open access. Certain data types with the potential for re-identification are available in restricted access through dbGAP. 
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.ca3618
title: FAIRsharing record for: Lancaster University Institutional Data Repository
title: null

description: This FAIRsharing record describes:  Lancaster University's Institutional Data Repository contains datasets published internally by researchers at Lancaster University. It also contains a partial registry of externally published datasets by dataset creators affiliated with the institution. 

Datasets are available in 3 methods of access: 
1. Open 
2. Restricted where data is available on request to rdm@lancaster.ac.uk
3. Closed or Metadata records only
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.f4fffe
title: FAIRsharing record for: MAGE-TAB for Proteomics Experiments
title: MAGE-TAB-Proteomics

description: This FAIRsharing record describes:  The Proteomics Sample Metadata Project aims to standardize the way ProteomeXchange partners and the proteomics community capture the relation between the samples and the data generated within a PX submission. MAGE-TAB for proteomics experiments (Experimental metadata) have adapted the MAGE-TAB v1.1 format to capture necessary metadata for Proteomics experiments to allow automated re-processing. The MAGE-TAB (MicroArray Gene Expression Tabular) is the file format that has been used to store the metadata and sample information on transcriptomics experiments, in which here has been adapted for Proteomics.The MAGE-TAB-Proteomics format is divided in two main files types: IDF (Investigation Description Format) and SDRF (Sample and Data Relationship Format). 
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.ccb028
title: FAIRsharing record for: ONIX for Books Product Record Format
title: ONIX

description: This FAIRsharing record describes:  ONIX for Books is a commercial XML-based data format for book metadata. The standard allows e.g. publishers and retailers within supply chains to use a uniform method for communicating a variety of information about their 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.4a8cd2
title: FAIRsharing record for: Sample and Data Relationship Format for Proteomics
title: SDRF

description: This FAIRsharing record describes:  The SDRF-Proteomics format describes the sample characteristics and the relationships between samples and data files included in a dataset. The information in SDRF files is organized so that it follows the natural flow of a proteomics experiment. SDRF-Proteomics file format stores the information of the sample and its relation to the data files in the dataset. The file format includes not only information about the sample but also about how the data was acquired and processed. The SDRF file format is one of two main files that make up the MAGE-TAB-Proteomics experimental metadata model format. 
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.5d6c49
title: FAIRsharing record for: OpenAIRE Research Graph Data Model
title: OAF

description: This FAIRsharing record describes:  OpenAIRE operates a research graph whose objects are scientific outputs, organizations, funders, communities, organizations, and data sources. The OpenAIRE Research Graph Data Model is used to describe these entities, following existing metadata standards such as CERIF.
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.d3b723
title: FAIRsharing record for: OpenURL ContextObjects
title: CTX

description: This FAIRsharing record describes:  The OpenURL XML ContextObject Format is part of the standard ANSI/NISO Z39.88-2004 (R2010), a metadata standard based on XML. It serves to serialize a OpenURL ContextObject which is the information construct that describes an item that is the subject of a service request and the context within which the request is being made.
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.7c255a
title: FAIRsharing record for: DataSuds (IRD)
title: null

description: This FAIRsharing record describes:  DataSuds is the institutional repository established by IRD (France, www.ird.fr) for all kind of scientific data, powered by Dataverse software.

DataSuds allows to disseminate, preserve and promote research data by facilitating their identification and citation. It is one of the elements of the Open Science for the South promoted by IRD.
Data contributions are opened to members of research structures involving IRD as well as IRD partners.
Please note that you can choose the language of the resource using the menu located in the top right corner.
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.9a67d2
title: FAIRsharing record for: PICA XML
title: pica-XML

description: This FAIRsharing record describes:  PICA XML is a standard to encode PICA+ in XML (in short: pica-XML) for working with PICA+ data in XML environments. PICA+ XML allows transformations between PICA+ and other metadata formats, as well as presentation, validation, analysis, and editing of PICA+ data with XML-based tools.
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.edde15
title: FAIRsharing record for: Publishing Requirements for Industry Standard Metadata
title: PRISM

description: This FAIRsharing record describes:  The PRISM Working Group was formed in 1999 by a group of publishers, rights holders, systems integrators, software developers, and content aggregators to improve content sharing across media types, rights and contract management, access to content archives, and the exchange and integration of disparate content. The result of this collaboration is the PRISM specification which includes, among other things, a standard set of XML metadata. The PRISM specification thus defines a standard for the description, exchange, and reuse of content in both print and electronic publications.
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.40d902
title: FAIRsharing record for: RIOXX Metadata Application Profile
title: RIOXX

description: This FAIRsharing record describes:  The RIOXX Metadata Application Profile was developed for repositories to exchange metadata about the scholarly resources they hold. Originally developed to meet the reporting requirements of the Research Council UK, the format has become a standard for exchanging metadata between repositories and network services such as large-scale metadata aggregators.
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.e241fa
title: FAIRsharing record for: Lancelet Genome and Gene Annotation Database 2.0
title: LanceletDB 2.0

description: This FAIRsharing record describes:  LanceletDB is an integrated genome database for lancelet, comparing domain types and combination in orthologues among lancelet and other species.
Here, we present an integrated genome database for lancelet, LanceletDB, which provides reference haploid genome sequence and annotation data for lancelet (Branchiostoma belcheri), including gene models and annotation, protein domain types, gene expression pattern in embryogenesis, different expression sequence tag (EST) sets and alternative polyadenylation (APA) sites profiled by the sequencing alternative polyadenylation sites (SAPAS) method. Especially, LanceletDB allows comparison of domain types and combination in orthologues among type species so as to decode the ancient domain types and novel domain combination during evolution. We also integrated the released diploid lancelet genome annotation data (Branchiostoma floridae) to expand LanceletDB and extend its usefulness. These data are available through the search and analysis page, BLAST page and genome browser to provide an integrated display.
Database URL: http://ac.agrogene.ac.cn/lancelet.

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: 10.5281/zenodo.14287579
title: Görlitz Hirsch Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope):

https://kalliope-verbund.info/ead?ead.id=DE-611-BF-70963

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.25504/fairsharing.438d45
title: FAIRsharing record for: Investigation Description Format
title: IDF

description: This FAIRsharing record describes:  The IDF (Investigation Description Format) file contains fields describing the study, authors/submitters, protocols, and publications in aims to capture the general description of the experiment and dataset. The IDF file format is one of two main files that make up the MAGE-TAB-Proteomics experimental metadata model format.The IDF component of a MAGE-TAB document consists of a set of unique tags attached to their corresponding values in a simple tab-delimited text format. ProteomerXchange resources developed a file format called submission.px which captures the same information as the MAGE-TAB IDF.
Note from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the link is not working, and we are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.
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.4b2234
title: FAIRsharing record for: ECOTOXicology Knowledgebase
title: ECOTOX

description: This FAIRsharing record describes:  The ECOTOXicology Knowledgebase (ECOTOX) is a source for locating single chemical toxicity data for aquatic life, terrestrial plants and wildlife. ECOTOX was created and is maintained by the U.S.EPA's Center for Computational Toxicology and Exposure's (CCTE's) Great Lakes Toxicology Ecology Division (GLTED). ECOTOX integrates three previously independent databases - AQUIRE, PHYTOTOX, and TERRETOX - into a unique system which includes toxicity data derived predominantly from the peer-reviewed literature, for aquatic life, terrestrial plants, and terrestrial wildlife, respectively.
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.313fa0
title: FAIRsharing record for: CLARIN Standards Information System
title: SIS

description: This FAIRsharing record describes:  CLARIN Standards Information System provides information on the LRT (Language Resources and Technology) standards and data formats used across CLARIN. CLARIN (https://www.clarin.eu/content/about-clarin ) stands for "Common Language Resources and Technology Infrastructure" and is an ERIC (European Research Infrastructure Consortium), a distributed network of language-resource and language-research centres across Europe (and beyond). CLARIN centres often allow for data depositions for archiving or processing, in formats that correspond to their research profiles.
The primary aim of the CLARIN SIS is to aggregate and visualise information on data deposition formats used by CLARIN centres and on standards recommended to centres and to individual users. Its secondary aims include providing the basis for research on data formats and aggregating data from other Research Infrastructures that focus on various aspects of Digital Humanities.
Information provided by the SIS is open access and can be retrieved via API.
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.8f2bff
title: FAIRsharing record for: Leeds Beckett University - Thesis and Research Data Repository
title: Leeds Beckett Repository

description: This FAIRsharing record describes:  Leeds Beckett University's Thesis and Research Data Repository (Figshare) enables theses and archived data to be made Open Access. Our outputs are protected under a Creative Commons licence. 
Theses and research data are available to download from the Repository, which can be found through search engines and accessed by anyone, increasing the views and potential impact of the research. Each record has a DOI enabling easy sharing.
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.b4929b
title: FAIRsharing record for: Hierarchical Event Descriptors
title: HED

description: This FAIRsharing record describes:  HED (Hierarchical Event Descriptors) is a framework for using a controlled yet extensible vocabulary to systematically describe experiment events of all types (perceptual, action, experiment control, task …).

The goals of HED are to enable and support its users to store and share recorded data in a fully analysis-ready format, and to support efficient (and/or extended cross-study) data search and analysis.

HED may be used to annotate any type of data – but particularly data acquired in functional brain imaging (EEG, MEG, fNIRS, fMRI), multimodal (aka MoBI, mobile brain/body imaging), psychophysiological (ECG, EMG, GSR), or purely behavioral 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.c3521d
title: FAIRsharing record for: EvolclustDB
title: null

description: This FAIRsharing record describes:  EvolClustDB is a public and browsable database of evolutionarily conserved gene clusters pre-computed with the EvolClust algorithm (Marcet-Houben M and Gabaldón T (2020)).

This algorithm identifies groups of neighboring genes whose proximity is significantly conserved across evolution compared to the genome average. This prediction is performed pairwise in an all against all comparisons of the genomes of interest, and then predicted gene clusters are grouped into multi-species families based on shared homologous gene content. Visualization allows inspecting gene order per species in a phylogenetic context (species or taxonomy tree), enabling inference of potential evolutionary events. EvolclustDB provides gene cluster visualization through the PhyD3
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.