cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.03c2d1
title: FAIRsharing record for: FAIR Principles for Research Software - Accessible
title: FAIR4RS - A

description: This FAIRsharing record describes:  In the FAIR Guiding Principles, accessibility translates into retrievability. In these FAIR4RS Principles, accessibility is also narrowly scoped to the ability to “retrieve” the software. Because software by necessity requires the use of standardized communications protocols to operate, some of the FAIR Guiding Principles may be considered commonly understood and implemented for software. For software to be accessible, it may be made available in any form (including, but not limited to source code, executable, library, or service) as long as the conditions for access are clearly stated and transparent. The software should be retrievable by both humans and machines or, in the case of software as a service, the software functionality is accessible via standardized protocols. In software engineering, “accessibility” can also be used to refer to the ability to access or use the software regardless of impairment, e.g. a disability. While this is important for research
software, this is not how the original FAIR Guiding Principles define accessibility. It is recommended that the practice of making software usable by as many people as possible is best addressed in R3, and as separate guidance complementing the FAIR4RS Principles.
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.392c4f
title: FAIRsharing record for: FAIR Principles for Research Software - Findable
title: FAIR4RS - F

description: This FAIRsharing record describes:  The 'Findable' aspect of FAIR4RS Principles states that software, and its associated metadata, must be easy for both humans and machines to find. For software to be findable, its associated metadata are readable by both humans and machines. Metadata should also follow domain-relevant community standards, although this is also explored within the "I" of FAIR4RS.
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.krrfz4
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactyloctenium aegyptium",
 "Country is Panama",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068119-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.0ef3b6
title: FAIRsharing record for: BioSurfDB
title: null

description: This FAIRsharing record describes:  BioSurfDB is a online database for biodegradation and biosurfactants. It is a curated relational information system integrating data from: (i) metagenomes; (ii) organisms; (iii) biodegradation relevant genes; proteins and their metabolic pathways; (iv) bioremediation experiments results, with specific pollutants treatment efficiencies by surfactant producing organisms; and (v) a biosurfactant-curated list, grouped by producing organism, surfactant name, class and reference. The main goal of this repository is to gather information on the characterization of biological compounds and mechanisms involved in biosurfactant production and/or biodegradation and make it available in a curated way and associated with a number of computational tools to support studies of genomic and metagenomic 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.ed7d61
title: FAIRsharing record for: Countries and subdivisions (thesaurus)  
title: null

description: This FAIRsharing record describes:  This thesaurus lists the world countries and some of their subdivisions. Capitals are mentioned. France is detailed up to the departments. Italy and Spain are detailed up to the provinces. Portugal is detailed up to the municipalities. Belgium, Germany and Switzerland are detailed up to the administrative districts. The United States is detailed up to the counties. This vocabulary is mapped to GeoNames, Wikidata and Wikipedia, DBpedia and NUTS.

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.b5bf9f
title: FAIRsharing record for: Administrative Sciences 
title: null

description: This FAIRsharing record describes:  Controlled vocabulary used for indexing bibliographical records for the "International Bibliography of Administrative Science" FRANCIS database (1972-2015).
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.533352
title: FAIRsharing record for: Fish Taxonomy 
title: null

description: This FAIRsharing record describes:  Constituted in the framework of a collaborative terminology enrichment with the BnF, this trilingual vocabulary, French-English-Spanish, contains Latin names of fishes in a hierarchical structure from species to class groups according to the international taxonomic classification. Latin preferred terms are enriched with Latin synonyms and French, English and Spanish vernacular names. 
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.cc6021
title: FAIRsharing record for: Mathematics (thesaurus) 
title: null

description: This FAIRsharing record describes:  This bilingual thesaurus (French and English) concerns the field of mathematics. It currently contains more than 2,600 concepts enriched with synonyms and provided with definitions, the vast majority of which come from Wikipedia.
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.ebf60e
title: FAIRsharing record for: Astronomy thesaurus 
title: null

description: This FAIRsharing record describes:  This Astrophysics thesaurus comes from a vocabulary used for the indexing of bibliographic references from the Pascal database until 2014, in the field of Astronomy. All definitions are given with their sources and the thesaurus has been aligned with Wikidata and the Unified Astronomy Thesaurus. This resource contains 2493 terminological entries.
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.2d3345
title: FAIRsharing record for: Lightweight Information Describing Objects Terminology
title: LIDO Terminology 

description: This FAIRsharing record describes:  The LIDO terminology is a supplement to LIDO - Lightweight Information Describing Objects, an XML schema for providing metadata on objects of material culture and cultural heritage. It complements the LIDO specification with the aim of improving the interoperability of object descriptions between different collections. This is achieved by introducing controlled vocabularies for specific elements and attributes within the LIDO XML schema. The LIDO terminology has been developed for elements and attributes for which there are no suitable controlled vocabularies. They are available partly as controlled lists and partly as structured vocabularies.
Wherever possible, the definition of terms is based on or refers to authoritative sources (e.g. CIDOC Conceptual Reference Model or the Art & Architecture Thesaurus).
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.7ffba7
title: FAIRsharing record for: NORMAN Digital Sample Freezing Platform  
title: DSFP

description: This FAIRsharing record describes:  The NORMAN Digital Sample Freezing Platform (DSFP) is a European infrastructure developed by the NORMAN Network to archive and share high-resolution mass spectrometry (HRMS) data. It was developed by the NORMAN Network and includes functionalities for the application of retrospective suspect screening of thousands of contaminants of emerging concern.
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.6b39ed
title: FAIRsharing record for: Research Data Management Policy of the Institute of Organic Chemistry and Biochemistry of the CAS, Prague
title: Research Data Management Policy of IOCB CAS, Prague 

description: This FAIRsharing record describes:  The policy describes the principles by which the researchers at the Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences in Prague, Czech Republic, govern their research in stages of data collection, storage and retention, and sharing, and, in addition, outlines responsibilities respective roles have. The institute emphasizes its central role in establishing and promoting a supporting infrastructure within the policy, and furthermore lays a foundation for reporting and tackling a potential misconduct. 
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.thj9hp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crassocephalum crepidioides",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068118-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.f74c9d
title: FAIRsharing record for: Ecosystem for Multi-modal Brain-behavior Experimentation and Research
title: EMBER

description: This FAIRsharing record describes:  EMBER is the BRAIN Initiative data archive for multi-modal neurophysiological and behavioral data, supporting the NIH Brain Behavior Quantification and Synchronization (BBQS) Program.
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.e2df6a
title: FAIRsharing record for: The German Human Genome-Phenome Archive 
title: GHGA

description: This FAIRsharing record describes:  The German Human Genome-Phenome Archive (GHGA) is a dedicated repository for storing and sharing diverse genomic and phenotypic data from a wide range of scientific studies, including clinical trials, population research, routine healthcare, and biomedical investigations usually coming from research institutions in Germany. By connecting with international initiatives such as the European Genome-phenome Archive (EGA) and the European Genomic Data Infrastructure (GDI), GHGA ensures that data is FAIRly stored, accessible, and interoperable across the globe.

GHGA has set up a trusted, long-term repository, with plans to preserve data at every stage, from raw sequencing files to processed data and research results. Developed in phases, GHGA will continually add features that support secondary research, including secure processing environments, data statistics, and data analysis tools. In this way, GHGA provides a secure and evolving resource for researchers, accelerating scientific discoveries and the development of innovative healthcare solutions.

Recognizing the sensitivity of human omics data, GHGA ensures strict data protection through robust security systems that maintain patient privacy and comply with ethical standards. Access to restricted datasets is not managed by GHGA, but by relevant Data Access Committees (DACs) appointed by the respective data controllers. DACs oversee requests based on established ethical and legal guidelines, while complying with the data subject’s consent. GHGA functions as an intermediate - who facilitates access for authorized users, such as researchers and healthcare professionals, ensuring that only those with proper clearance can access controlled 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.091c24
title: FAIRsharing record for: INFRA-ART Spectral Library 
title: null

description: This FAIRsharing record describes:  The INFRA-ART Spectral Library is a FAIR data service designed as a digital support tool for heritage research specialists working with spectroscopic techniques. With over 2,000 curated spectra, the database allows users to analyze and compare the spectral signatures of a wide range of reference materials, facilitating the identification of 'unknown' samples. The INFRA-ART Spectral Library has been designed, implemented, and optimized over several years, and it currently integrates ATR-FTIR, XRF, Raman, and SWIR reflectance spectra on over 1000 different materials typically found in works of art. 
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.6c1caa
title: FAIRsharing record for: Researchdata.se 
title: null

description: This FAIRsharing record describes:  Researchdata.se is a national web portal where you can find, share, and reuse research data from a wide range of research fields. You can also find helpful advice and recommendations on managing research data. Several leading research infrastructures are behind Researchdata.se, which is an important step towards the goal of open access to publicly funded 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.cb4ca0
title: FAIRsharing record for: Time Frequency Catalogue
title: TFCat

description: This FAIRsharing record describes:  The Time-Frequency Catalogue specification is model and a format for storing and sharing series of features in the spectral-temporal domain. This model has been developed by the low-frequency radio astronomy community and is derived from the GeoJSON specification. Each feature of the catalogue is defined by a set of temporal and spectral coordinates. Features can have additional properties, depending on the science case, which content shall be defined in the catalogue. The temporal and spectral coordinate frame in use in the catalogue shall be defined uniquely in a catalogue file, or identified by unique coordinate system name. The catalogue can have general properties (e.g., header type metadata).
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.3cb29a
title: FAIRsharing record for: DSMZ Digital Diversity
title: D3

description: This FAIRsharing record describes:  DSMZ Digital Diversity is an integrated suite of scientific databases of fundamental relevance for the life sciences. The databases include BRENDA, SILVA, LPSN, BacDive and TYGS which are developed in a highly coordinated manner. A dedicated team of scientists and software engineers builds a common research data infrastructure to significantly improve the access to a plethora of curated and standardized biological data. The resulting data platform will provide an integrated resource and will allow to link and comprehensively analyze the different types of scientific data from all domains of life sciences. 
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.1bba53
title: FAIRsharing record for: Marino Institute of Education Good Research Practice Policy
title: null

description: This FAIRsharing record describes:  This policy sets out the key behaviours and responsibilities expected by the Marino Institute of Education for any research or innovation work it sponsors, which is undertaken in its name or by its staff and student body.
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.3654a4
title: FAIRsharing record for: Open Energy Family
title: OEFamily

description: This FAIRsharing record describes:  The Open Energy Family is a comprehensive open science framework that aims to facilitate the transition to a more sustainable and renewable energy system. The project is focused on creating and promoting open-source technologies, publicly accessible data, and transparent methods for energy system modeling. Its ultimate goal is to support collaborative research on solutions for research data management and modeling in the field of energy systems.

Thanks to its commitment to openness, transparency, and accessibility, the Open Energy Family has already achieved considerable success in the research field. It is continuously being developed through state-funded research projects to improve its capabilities and effectiveness.

The framework's emphasis on collaboration and community-driven innovation makes it an essential tool for researchers, scientists, and policymakers working towards a more sustainable energy future. By providing a platform for sharing ideas, data, and methods, the Open Energy Family aims to accelerate progress towards a more sustainable and equitable energy system.
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.af0c1d
title: FAIRsharing record for: Dateno 
title: Dateno

description: This FAIRsharing record describes:  Dateno is a next-generation dataset search engine that provides fast, comprehensive access to open datasets worldwide. Our mission is to make data discovery and integration as seamless as possible for researchers, analysts, developers, journalists, and anyone else working with data.

Our Vision

We believe that access to data should be easy and efficient. By creating a powerful search engine specifically for datasets, we aim to accelerate research, innovation, and data-driven decision-making across various fields.
What Sets Us Apart

    Speed: We've optimized our search functionality to deliver results as quickly as possible using Meilisearch.
    Comprehensive Filtering: Our advanced filtering system allows users to narrow down results by various parameters, making it easier to find exactly what you need.
    API-First Architecture: We're building Dateno with API access in mind, allowing for seamless integration into your workflows and applications.
    Extensive Index: Our constantly growing index includes millions of records from thousands of data catalogs worldwide.
    Data Preservation: We're committed to archiving datasets that are at risk of disappearing, ensuring valuable data remains accessible.

How It Works
Dateno is built on the Dateno registry of data catalogs. We crawl various types of data sources, including:

- Open data portals
- Geoservers/geoportals
- Scientific data repositories
- Microdata catalogs
- Databases of indicators

We use common APIs and export formats like DCAT, CKAN API, CSW, WFS, WMS, and ArcGIS Rest API to gather data. After crawling, we enrich the data and convert it to a unified structure similar to DCAT, creating a single search index.
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.