cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bx8fv6
title: Occurrence Download

description: A dataset containing 2412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "RecordedBy is one of (DROEGE, S., Droege, Droege & Packer, Droege & Shapiro, Droege and L. Barranco, Droege and C. Campbell, Droege, S, Droege, S., Droege, S. (482805). 2017. USNM., Droege, S. (Sam), Droege, S. W. (Sam W.), Droege, S. W. (Sam W.) & Russell, Droege, S., S.N. (UMD) 1978, Droege, S.W., Droege, S.W. (Sam W.), Droege, Sam, Droege/Packer)",
 "TaxonKey is Hymenoptera"
 ]
}

 The dataset includes 2412 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068110-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.8ab8c6
title: FAIRsharing record for: ISO/IEC 22989:2022 - Artificial Intelligence Concepts and Terminology
title: ISO/IEC 22989:2022

description: This FAIRsharing record describes:  ISO/IEC 22989:2022 establishes terminology for AI and describes concepts in the field of AI. This document can be used in the development of other standards and in support of communications among diverse, interested parties or stakeholders.This document is applicable to all types of organizations (e.g. commercial enterprises, government agencies, not-for-profit organizations).
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.vxgmgk
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crassocephalum crepidioides",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068115-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.dfd3d1
title: FAIRsharing record for: ISO/IEC 42001:2023 - Artificial Intelligence Management System
title: ISO/IEC 42001:2023

description: This FAIRsharing record describes:  ISO/IEC 42001 is an international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS) within organizations. It is designed for entities providing or utilizing AI-based products or services, ensuring responsible development and use of AI systems.
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.c31931
title: FAIRsharing record for: Medical Event Data Standard
title: MEDS

description: This FAIRsharing record describes:  MEDS (the Medical Event Data Standard) is a data standard for structured, longitudinal medical record data, built for reproducible, efficient Machine Learning (ML)/Artificial Intelligence (AI) research in healthcare. It is a simple dataset schema for machine learning over electronic health record (EHR) data. MEDS is a deliberately minimal standard designed for maximum interoperability across datasets, existing tools, and model architectures. 
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.176014
title: FAIRsharing record for: Open Neural Network Exchange
title: ONNX

description: This FAIRsharing record describes:  ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.
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.6839b5
title: FAIRsharing record for: NIH Brain Development Cohorts Biorepository Portal
title: NBDC

description: This FAIRsharing record describes:  The mission of the National Institute on Drug Abuse (NIDA), part of the National Institutes of Health, is to advance science on the causes and consequences of drug use and addiction and to apply that knowledge to improve individual and public health. NIDA, in collaboration with other NIH Institutes, Centers, and Offices, and other federal partners, supports two large prospective developmental studies, the Adolescent Brain Cognitive Development SM (ABCD) Study and the HEALthy Brain and Child Development (HBCD) Study. The NIH Brain Development Cohorts (NBDC) Biorepository Portal serves two major purposes for the ABCD and HBCD studies: It facilitates the collection of samples by study staff, and it maintains a database of stored samples and sample associated metadata for the research community. Researchers can browse the inventory of available samples using the Biospecimen Explorer, and request biospecimens to conduct their own analyses. By providing these services, the NBDC Biorepository Portal aims to further support research on child and adolescent health and 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.277cff
title: FAIRsharing record for: Quetelet-Progedo
title: null

description: This FAIRsharing record describes:  Quetelet-Progedo is Progedo's data repository dedicated to quantitative social sciences and humanities. Its data collection currently includes administrative, survey (aggregate- and individual-level), geographic, and historical data that cover a wide range of themes such as education, labour, wages, demography, family, health, migration, etc. These data have primarily been produced by French government agencies (notably the French National Institute of Statistics and Economic Studies (INSEE)[5] and, more recently, by academic researchers. To date, Quetelet-Progedo holds nearly 1,700 datasets.

Quetelet-Progedo, as a product of Progedo, has been jointly funded by the French Ministry of Higher Education and Research and the CNRS. Please note that the majority of the data and documentation is in French.
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.b393f4
title: FAIRsharing record for: Helmholtz Coastal Data Center Data Portal
title: HCDC Data Portal

description: This FAIRsharing record describes:  The Helmholtz Coastal Data Center (HCDC) data portal contains Earth and Environment data, maps and products from various Hereon Institutes. Data is drawn from: the Hereon biogeochemical campaign database, the Hereon near-real time sensor database, the Hereon opendap file server, and Hereon data stored at the World Data Center for Climate at the DKRZ.
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.f49223
title: FAIRsharing record for: Open Reaction Database - Repository
title: ORD

description: This FAIRsharing record describes:  The data repository for the Open Reaction Database (ORD). The ORD repository supports the sharing of structured reaction data. Their vision is that a consistent data representation and infrastructure to support data sharing will enable downstream applications that will greatly improve the state of the art with respect to computer-aided synthesis planning, reaction prediction, and other predictive chemistry tasks.
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.c5b513
title: FAIRsharing record for: Dietary Supplement Label Database
title: DSLD

description: This FAIRsharing record describes:  The Dietary Supplement Label Database was developed by the American Office of Dietary Supplements at the National Institutes of Health. This database includes printed on more than 200 thousand labels of dietary supplement products sold in the United States.
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.ace1cb
title: FAIRsharing record for: Unpaywall
title: null

description: This FAIRsharing record describes:  An open database of free scholarly articles. Unpaywall harvests Open Access content from over 50,000 publishers and repositories, and make it easy to find, track, and use. 
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.f7291d
title: FAIRsharing record for: Research Data Management Policy for the Institute of Computing and Information Sciences at Radboud University
title: RU iCIS RDM Policy

description: This FAIRsharing record describes:  This policy describes the Research Data Management principles and recommendations implemented at the Institute for Computing and Information Sciences at Radboud University (Nijmegen, The Netherlands).
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.6efe79
title: FAIRsharing record for: Materials characterization - Terminology and structured documentation
title: CHADA

description: This FAIRsharing record describes:  This CEN Workshop Agreement (CWA) provides a standardised framework, called the CHAracterisation DAta (CHADA) model that can document materials characterization processes in a structured and consistent manner. This framework includes the documentation of materials, samples, workflows, and results. The CHADA model is designed for complex applications and interactions between materials. Through standardisation, we can ensure accurate communication and data sharing between researchers, industry professionals, and other stakeholders in materials science and engineering. The previous version of CWA 17815:2021 presented standardised schemas to describe the workflow of a given materials characterisation method by using the Materials CHAracterisation DAta (CHADA) documentation concept. The current version of CWA 17815 describes a more general workflow that is understandable by humans and supports machine-processable implementations. The adoption of a standard graphical notation, for instance the “Business Process Model and Notation” (BPMN2), is new in this version. Also, since the previous version, the terminology and classification has been formalised into a taxonomy and an ontology of materials characterisation, called CHAMEO, which has in turn been used to inform the current CWA.
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.459c7f
title: FAIRsharing record for: DaKS - University of Kassel's research data repository  
title: DaKS

description: This FAIRsharing record describes:  DaKS is the institutional repository of the University of Kassel for research data. It offers structured storage of research data alongside with descriptive metadata, long-term archiving for at least 10 years and – if requested – the publication of the dataset with a DOI. 
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.833fbb
title: FAIRsharing record for: COAR Controlled Vocabularies for Repositories - Resource Types
title: COAR ResourceType

description: This FAIRsharing record describes:  The Resource Type vocabulary defines concepts to identify the genre of a resource. Such resources, like publications, research data, audio and video objects, are typically deposited in institutional and thematic repositories or published in ejournals. This vocabulary supports a hierarchical model that relates narrower and broader concepts. Multilingual labels regard regional distinctions in language and term. Concepts of this vocabulary are mapped with terms and concepts of similar vocabularies and dictionaries.
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: 10.48331/scielodata.jcpzl0/ymjjei
title: FLOWCHART.pdf
DOI: 10.25504/fairsharing.3fb7c4
title: FAIRsharing record for: FAIR Metric -  DataCite record metadata has a licence 
title: FM - DATACITE_LI

description: This FAIRsharing record describes:  This metric ensures that the research object provided by the supplied URL is associated with a DataCite DOI. The DOI metadata defines a licence within the metadata 'rightsList'  attribute. The supplied URL can be : doi.org domain URL or DOI target repository domain URL.
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: 10.48331/scielodata.jcpzl0/gou0kv
title: README

description: article summary
DOI: 10.25504/fairsharing.89b27e
title: FAIRsharing record for: Joint Photographic Experts Group 2000
title: JPEG 2000

description: This FAIRsharing record describes:  The JPEG 2000 standard is a collaboration between ITU-T and ISO/IEC and has a royalty-free objective. JPEG 2000 refers to all parts of the standard. JPEG 2000 is the Swiss Army knife of image codecs. It supports: lossy and lossless coding, up to 16384 components, bit depth up to 38 bits/sample, terapixel images, resolution and quality scalability, progressive decoding and sub-frame latency, region-of-interest accessibility, non-iterative optimal rate control, discontinuous media such as optical flow data and stereo disparity maps. JPEG 2000 is faster and higher quality than JPEG. It is used worldwide in many high-performance applications. Many CPU, GPU and FPGA implementations are available, both open source and commercial.
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: 10.48331/scielodata.jcpzl0
title: Data for:Relationship between salt and blood pressure in indigenous and non-indigenous populations

description: Flowchart A e B. Selection of study participants in the indigenous and Non indigenous population (1999-2004).
DOI: 10.25504/fairsharing.60a40f
title: FAIRsharing record for: FAIR Principles for Research Software - R3. Software meets domain-relevant community standards
title: FAIR4RS - R3

description: This FAIRsharing record describes:  'R3. Software meets domain-relevant community standards' states that software, including its documentation and license, should meet domain-relevant community standards and coding practices (e.g., choice of programming language, standards for testing, usage of file formats, accessibility [in the sense of usable by as many people as possible]) that enable reuse. While the FAIR4RS Principles do not specify particular community standards, the intent is to ensure that practitioners are aware of what others are doing and using in the community, e.g., through initiatives like FAIRsharing (Sansone et al., 2019), whilst acknowledging that community standards are (and should be) under constant development. Communities can encompass research domains, programming languages, and technical approaches. Examples of community standards might include: BioSchemas from ELIXIR for describing resources in the life sciences and schema.org for general description of resources; Common Workflow Language; and the package managers commonly used by a programming language such as Maven (Java), npm (Javascript), PyPI (Python) and CRAN (R). It is important to note that the FAIR Guiding Principles address research outputs, not research processes, so
standards should also be limited to best practice about the software itself, not the process of designing, developing, or maintaining it, such as the R community standards for creating packages or the PEP 8 Style Guide for Python Code.
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.cda381
title: FAIRsharing record for: FAIR Principles for Research Software - R2. Software includes qualified references to other software
title: FAIR4RS - R2

description: This FAIRsharing record describes:  'R2. Software includes qualified references to other software' states that software is rarely standalone and in most cases is built upon other software (e.g., dependencies), and should include appropriate references to other software (e.g., requirements, imports, libraries) which are necessary to compile and run the software. “Qualified” here means specifying the authoritative source for an identifier, possibly including a resolvable reference to further information about the source. To follow this principle, it is desirable but not required that the other software referenced implements the FAIR4RS Principles. In many programming languages, base methods or functions take a reference to a named entity, possibly in combination with a version number or qualifying domain and resolves this to a source. This principle goes beyond this in calling for qualified references to external dependencies, meaning that the reference itself resolves to the source via the qualifying authority. This guiding principle calls for qualified references in software to other software (in aid of reuse). Principle I2 calls for qualified references to anything other than software (in aid of 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: 10.15468/dl.jbk3wq
title: Occurrence Download

description: A dataset containing 1047384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Setophaga fusca)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1047384 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068086-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.9ca8a1
title: FAIRsharing record for: FAIR Principles for Research Software - R1.2. Software is associated with detailed provenance
title: FAIR4RS - R1.2

description: This FAIRsharing record describes:  'R1.2. Software is associated with detailed provenance' describes software provenance as a type of metadata that describes why and how the software came to be, as well as who contributed what, when and where. Provenance is sometimes referred to as lineage or pedigree. This extends beyond capturing a log of changes to source code as it is developed. R1.2 states that good provenance is required because such metadata clarifies the origins and intent behind the development of the software, and establishes authenticity and trust. As a type of metadata this overlaps with the metadata called for in guiding principles F2 and F4.
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.