cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.c2wkqx
title: FAIRsharing record for: Natural Collections Descriptions
title: NCD

description: This FAIRsharing record describes:  Natural Collections Description (NCD) (A data standard for exchanging data describing natural history collections) is a proposed data standard for describing collections of natural history materials at the collection level; one NCD record describes one entire collection. The NCD standard covers all types of natural history collections, such as specimens, original artwork, archives, observations, library materials, datasets, photographs or mixed collections such as those that result from expeditions and voyages of discovery. NCD is a draft standard that was submitted for ratification in 2008. Personnel changes in several critical roles caused the ratification process to stall, so the specification has remained as a draft since. The in 2016 reestablished Collection Descriptions Interest Group has decided to discontinue the development of NCD in favour of a new TDWG Collections Description metadata standard.
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.gj4ayc
title: FAIRsharing record for: IVOA Registry Relational Schema
title: RegTAP

description: This FAIRsharing record describes:  Registries provide a mechanism with which Virtual Observatory (VO) applications can discover and select resources - first and foremost data and services - that are relevant for a particular scientific problem. This specification defines an interface for searching this resource metadata based on the IVOA's TAP protocol. It specifies a set of tables that comprise a useful subset of the information contained in the registry records, as well as the table's data content in terms of the XML VOResource data model. The general design of the system is geared towards allowing easy authoring of queries.
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.x0q5bg
title: FAIRsharing record for: Ciona robusta Anatomy and Development Ontology
title: null

description: This FAIRsharing record describes:  The first ontology describing the anatomy and the development of Ciona robusta, based on the Hotta developmental tables.
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.36c7ea
title: FAIRsharing record for: W3C Provenance Data Model
title: PROV-DM

description: This FAIRsharing record describes:  PROV-DM defines a conceptual data model for provenance including UML diagrams. PROV-O, PROV-XML and PROV-N are serializations of this conceptual model. A companion document, PROV-CONSTRAINTS, is linked within this record and specifies the set of constraints that provenance should follow. PROV-DM and PROV-O define how to represent provenance on the World Wide Web, and as such additional documentation has been included in this record for PROV-AQ (Access and Query), a note which describes how standard web protocols may be used to locate, retrieve and query provenance records. PROV-Dictionary is also referenced within this record, and describes Dictionary, a specific type of Collection with a logical structure consisting of key-entity pairs and created to facilitate the modeling of provenance for dictionary data structures. PROV-SEM, a model-theoretic semantics for the PROV data model, is also linked. Bundles of provenance descriptions can be linked by PROV-LINKS, also listed below. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.
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.njqq5b
title: FAIRsharing record for: ISA-TAB-Nano
title: ISA-TAB-Nano

description: This FAIRsharing record describes:  ISA-TAB-Nano specifies the format for representing and sharing information about nanomaterials, small molecules and biological specimens along with their assay characterization data (including metadata, and summary data) using spreadsheet or TAB-delimited files.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.q7kr4s
title: FAIRsharing record for: Observations and Measurements - XML Implementation
title: OMXML

description: This FAIRsharing record describes:  This standard specifies an XML implementation for the OGC and ISO Observations and Measurements (O&M) conceptual model (OGC Observations and Measurements v2.0 also published as ISO/DIS 19156), including a schema for Sampling Features. This encoding is an essential dependency for the OGC Sensor Observation Service (SOS) Interface Standard. More specifically, this standard defines XML schemas for observations, and for features involved in sampling when making observations. These provide document models for the exchange of information describing observation acts and their results, both within and between different scientific and technical communities.
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.fe7cda
title: FAIRsharing record for: W3C Provenance XML Schema
title: PROV-XML

description: This FAIRsharing record describes:  PROV-XML defines an XML schema for the provenance data model (PROV-DM). This is intended for developers who need a native XML serialization of the PROV data model. For the purpose of this specification, provenance is defined as a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted, how it should be integrated with other diverse information sources, and how to give credit to its originators when reusing it. In an open and inclusive environment such as the Web, where users find information that is often contradictory or questionable, provenance can help those users to make trust judgements.
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.qaee9n
title: FAIRsharing record for: ChemDraw Native File Format
title: CDX

description: This FAIRsharing record describes:  CDX is the native file format of ChemDraw, and is guaranteed to save anything drawn in ChemDraw without loss of data. At the same time, however, its architecture was carefully designed to make it a flexible and general-purpose chemical format. It is intended to be a practical choice for use by non-graphical programs, i.e. ones dealing in connection tables rather than desktop publishing. Because of its ability to incorporate custom information, and because it is in the public domain, CDX has been adopted by the U.S. Patent Office as its standard chemical format. Originally developed by the CambridgeSoft Corporation, and later a subsidiary of PerkinElmer, it is now part of Revvity Signals (https://revvitysignals.com/products/research/chemdraw). Currently, the CDX specification is unavailable on the Revvity Signals website, and so the best solution is to point to the wikipedia page for now. Please get in touch with us if you have an authoritative URL for the specification, or this record's status may need to be revised.
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.31hec1
title: FAIRsharing record for: Minimal information about Adaptive Immune Receptor Repertoire
title: MiAIRR

description: This FAIRsharing record describes:  Minimal information about Adaptive Immune Receptor Repertoire (MiAIRR) is a checklist of minimally required information that we recommend journals adopt, and that could form the requirements for submission to a public data repository. AIRR sequencing studies apply high-throughput sequencing technologies to profile B cell receptors (BCRs) and T cell receptors (TCRs). The standards were developed by the AIRR Community (http://airr-community.org) Minimal Standards Working Group.
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.bfqdc8
title: FAIRsharing record for: Generic Feature Format Version 2
title: GFF2

description: This FAIRsharing record describes:  GFF2 is a supported format in GMOD, but it is now deprecated and if you have a choice you should use GFF3. Unfortunately, data is sometimes only available in GFF2 format. GFF2 has a number of shortcomings compared to GFF3. GFF2 can only represent 2 level feature hierarchies, while GFF3 can support arbitrary levels. GFF2 also does not require that column 3, the feature type, be part of the sequence ontology. It can be any string. This often led to quality control and data exchange problems. The GFF format is a flat tab-delimited file, each line of which corresponds to an annotation, or feature. Each line has nine columns.
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.dnk0f6
title: FAIRsharing record for: Generic Feature Format Version 3
title: GFF3

description: This FAIRsharing record describes:  The Generic Feature Format Version 3 (GFF3) format was developed after earlier formats, although widely used, became fragmented into multiple incompatible dialects. The GFF3 format addresses the most common extensions to GFF, while preserving backward compatibility with previous formats. GFF3 files are nine-column, tab-delimited, plain text files. Literal use of tab, newline, carriage return, the percent (%) sign, and control characters must be encoded using RFC 3986 Percent-Encoding; no other characters may be encoded. Backslash and other ad-hoc escaping conventions that have been added to the GFF format are not allowed. The file contents may include any character in the set supported by the operating environment, although for portability with other systems, use of Latin-1 or Unicode are recommended.
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.g201pt
title: FAIRsharing record for: Agri-Food Experiment Ontology
title: AFEO

description: This FAIRsharing record describes:  The Agri-Food Experiment Ontology (AFEO) is based on two existing ontology resources, OAE (Ontology for Agriculture Experiment) and OFPE (Ontology for Food Processing Experiment). It covers various viticultural practices, winemaking products and operations. FAIRsharing is unable to contact the developers of this resource, and cannot find a project homepage. Therefore this record's status has been marked as Uncertain. Please get in touch if you have any information regarding this 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.md3e78
title: FAIRsharing record for: Audubon Core Multimedia Resources Metadata Schema
title: AC

description: This FAIRsharing record describes:  The Audubon Core Multimedia Resources Metadata schema (“AC schema”, or simply “AC”) is a set of metadata vocabularies for describing biodiversity-related multimedia resources and collections. The specification is independent of how these vocabularies may be represented for machine use. An Audubon Core record is a description of a multimedia resource using the Audubon Core terms. Two kinds of terms are specified by AC: record-level terms and access-level terms.
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.jqfgxs
title: FAIRsharing record for: Minimum Information about a Biosynthetic Gene cluster
title: MIBiG

description: This FAIRsharing record describes:  A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. The Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard was created to facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters.
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.ry1ezg
title: FAIRsharing record for: Lentil Ontology
title: CO_339

description: This FAIRsharing record describes:  The Lentil Ontology is part of the Crop Ontology (CO) project. The Crop Ontology has been created to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information.
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.ydnwd9
title: FAIRsharing record for: Ontology of General Purpose Datatypes
title: OntoDT

description: This FAIRsharing record describes:  This ontology contains entities such as: datatype, datatype generator, datatype quality and others giving the possibility to represent arbitrary complex datatypes. This is an important fact for a general data mining ontology that wants to represent and query over modeling algorithms for mining structured data. The ontology was first developed under the OntoDM (Ontology of Data Mining is available at http://kt.ijs.si/panovp/OntoDM) ontology, but for generality and reuse purpose it was decided to export it as a separate ontology. Additionally, the OntoDT ontology is based on and ISO/IEC 11404 (http://www.iso.org/iso/catalogue_detail.htm?csnumber=39479) standard and can be reused used independently by any domain ontology that requires representation and reasoning about general purpose datatypes.
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.576wb
title: FAIRsharing record for: Common Metadata Elements for Cataloging Biomedical Datasets
title: null

description: This FAIRsharing record describes:  The Common Metadata Elements for Cataloging Biomedical Datasets outlines a proposed set of core, minimal metadata elements that can be used to describe biomedical datasets, such as those resulting from research funded by the National Institutes of Health. It can inform efforts to better catalog or index such data to improve discoverability. The proposed metadata elements are based on an analysis of the metadata schemas used in a set of NIH-supported data sharing repositories. Common elements from these data repositories were identified, mapped to existing data-specific metadata standards from to existing multidisciplinary data repositories, DataCite and Dryad, and compared with metadata used in MEDLINE records to establish a sustainable and integrated metadata schema.
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.995b08
title: FAIRsharing record for: Unidata's Network Common Data Form Data Model
title: netCDF

description: This FAIRsharing record describes:  Unidata’s Network Common Data Form (netCDF) is a set of software libraries and a machine-independent data format that support the creation, access, and sharing of array-oriented scientific data. This record describes the data format and not the software libraries. The netCDF Data Model is also a community standard for sharing scientific data. The data model of dimensions, variables, and attributes, which define the The Classic Model, was extended starting with netCDF-4.0. The new The Enhanced Data Model supports the classic model in a completely backward-compatible way, while allowing access to new features such as groups, multiple unlimited dimensions, and new types, including user-defined types. For maximum interoparability with existing code, new data should be created with the The Classic Model. The Classic Model was introduced with the very first netCDF release, and is still the core of all netCDF files.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.6084/m9.figshare.1496573
title: Common Metadata Elements for Cataloging Biomedical Datasets

description: This dataset outlines a proposed set of core, minimal metadata elements that can be used to describe biomedical datasets, such as those resulting from research funded by the National Institutes of Health. It can inform efforts to better catalog or index such data to improve discoverability. The proposed metadata elements are based on an analysis of the metadata schemas used in a set of NIH-supported data sharing repositories. Common elements from these data repositories were identified, mapped to existing data-specific metadata standards from to existing multidisciplinary data repositories, DataCite and Dryad, and compared with metadata used in MEDLINE records to establish a sustainable and integrated metadata schema. From the mappings, we developed a preliminary set of minimal metadata elements that can be used to describe NIH-funded datasets. Please see the readme file for more details about the individual sheets within the spreadsheet.
DOI: 10.25504/fairsharing.10bab4
title: FAIRsharing record for: CSV Dialect Description Format
title: CSV-DDF

description: This FAIRsharing record describes:  CSV Dialect defines a simple format to describe the various dialects of CSV files in a language agnostic manner. It aims to deal with a reasonably large subset of the features which differ between dialects, such as terminator strings, quoting rules, escape rules and so on. The specification has been modeled around the union of the csv modules in Python and Ruby, and the bulk load capabilities of MySQL and PostgresQL. CSV Dialect has nothing to do with the names, contents or types of the headers or data within the CSV file, only how it is formatted. However, CSV Dialect does allow the presence or absence of a header to be specified, similarly to RFC4180. CSV Dialect is also orthogonal to the character encoding used in the CSV file. Note that it is possible for files in CSV format to contain data in more than one encoding.
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.