cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.9j4wh2
title: FAIRsharing record for: Chemical Methods Ontology
title: CHMO

description: This FAIRsharing record describes:  CHMO, the chemical methods ontology, describes methods used to collect data in chemical experiments, such as mass spectrometry and electron microscopy; prepare and separate material for further analysis, such as sample ionisation, chromatography, and electrophoresis; and synthesise materials such as epitaxy and continuous vapour deposition. It also describes the instruments used in these experiments, such as mass spectrometers and chromatography columns. It is intended to be complementary to the Ontology for Biomedical Investigations (OBI).
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.6mck
title: FAIRsharing record for: Children's Health Exposure Analysis Resource
title: CHEAR

description: This FAIRsharing record describes:  Children's health and wellbeing are influenced by interactions between environmental and genetic factors. NIEHS is establishing an infrastructure, the Children's Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and data analyses that add or expand the inclusion of environmental exposures in children's health research. The goal of CHEAR is to provide tools so researchers can assess the full range of environmental exposures which may affect children's health. We anticipate that CHEAR will be used by children's health researchers conducting epidemiological or clinical studies that currently have limited consideration of environmental exposures, or those who have collected exposure data but seek more extensive analyses.
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.gb7jed
title: FAIRsharing record for: Core Scientific Dataset Model
title: CSD Model

description: This FAIRsharing record describes:  The Core Scientific Dataset (CSD) model with JavaScript Object Notation (JSON) serialization is a lightweight, portable, and versatile standard for intra- and interdisciplinary scientific data exchange. It can also hold correlated datasets assuming the different physical quantities (dependent variables) are sampled on the same orthogonal grid of independent variables. The model encapsulates the dependent variables’ sampled data values and the minimum metadata needed to accurately represent this data in an appropriate coordinate system of independent variables. The CSD model can serve as a re-usable building block in the development of more sophisticated portable scientific dataset file standards.
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.4c7c1c
title: FAIRsharing record for: DDBJ/ENA/GenBank Feature Table
title: null

description: This FAIRsharing record describes:  The GenBank, EMBL, and DDBJ nucleic acid sequence data banks have from their inception used tables of sites and features to describe the roles and locations of higher order sequence domains and elements within the genome of an organism. In February, 1986, GenBank and EMBL began a collaborative effort (joined by DDBJ in 1987) to devise a common feature table format and common standards for annotation practice.
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.8y5ayx
title: FAIRsharing record for: Common Workflow Language
title: CWL

description: This FAIRsharing record describes:  Common Workflow Language (CWL) is an open standard for describing how to run command line tools and connect them to create workflows.

Tools and workflows described using CWL are portable across a variety of platforms that support the CWL standards. Using CWL, it easy to scale complex data analysis and machine learning workflows from a single developer's laptop up to massively parallel cluster, cloud and high performance computing environments.
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.ez0fzl
title: FAIRsharing record for: Adaptive Immune Receptor Repertoire Standard
title: AIRR Repertoire 

description: This FAIRsharing record describes:  The Adaptive Immune Receptor Repertoire (AIRR) Repertoire Schema, part of the AIRR Data Model, describes an abstract organizational unit of analysis that is defined by the researcher and consists of study metadata, subject metadata, sample metadata, cell processing metadata, nucleic acid processing metadata, sequencing run metadata, a set of raw sequence files, data processing metadata, and a set of Rearrangements. A Repertoire gathers all of this information together into a composite object, which can be easily accessed by computer programs for data entry, analysis and visualization. The AIRR Repertoire Schema has been implemented in YAML/JSON, which provides a mechanism to share AIRR Repertoire metadata between research projects.
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.zwjnah
title: FAIRsharing record for: Adaptive Immune Receptor Repertoire Rearrangement Standard
title: AIRR Rearrangement 

description: This FAIRsharing record describes:  The Adaptive Immune Receptor Repertoire (AIRR) Rearrangement Schema, part of the AIRR Data Model, defines the annotations needed for rearrangements, which are sequences describing a rearranged adaptive immune receptor chain (e.g., antibody heavy chain or TCR beta chain). Data for Rearrangement objects are stored as rows in a tab-delimited file and should be compatible with any TSV reader. A dataset is defined in this context as: a TSV file, a TSV with a companion YAML file containing metadata, or a directory containing multiple TSV files and YAML 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.a2e4bb
title: FAIRsharing record for: International Federation of Digital Seismograph Networks StationXML
title: FDSN StationXML

description: This FAIRsharing record describes:  The FDSN StationXML schema defines an XML representation of the most important and commonly-used structures of SEED 2.4 metadata with enhancements. This format is intended primarily for the archival and exchange of seismological time series data and related metadata. The goal is to allow mapping between SEED 2.4 dataless SEED volumes and this schema with as little transformation or loss of information as possible, while at the same time simplifying station metadata representation when possible. Also, content and clarification has been added where lacking in the SEED standard. When definitions and usage are under-defined the SEED manual should be referred to for clarification.
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.enszpf
title: FAIRsharing record for: Adaptive Immune Receptor Repertoire Software Guidelines
title: AIRR Software Guidelines

description: This FAIRsharing record describes:  The Adaptive Immune Receptor Repertoire (AIRR) Software Guidelines were created by the AIRR Software Working Group to promote standards for AIRR software tools and resources in order to enable rigorous and reproducible immune repertoire research at the largest scale possible. As one contribution to this goal, we have established the a number of standards for software tools. Authors whose tools comply with this standard will, subject to ratification from the AIRR Software WG, be permitted to advertise their tools as being AIRR-compliant. The guidelines include a compliance checklist, a list of compliant tools, and recommended software evaluation data sets.
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.nx0ddm
title: FAIRsharing record for: Adaptive Immune Receptor Repertoire Data Model
title: AIRR Data Model

description: This FAIRsharing record describes:  The MiAIRR standard defines the minimal information for submission and publication of AIRR-seq datasets. The Adaptive Immune Receptor Repertoire (AIRR) Data Model defines a schema for the MiAIRR data elements, structuring them within schema objects, defining the relationship between those objects, and defining a file format. Increased interest in the immune system's involvement in pathophysiological phenomena coupled with decreased DNA sequencing costs have led to an explosion of antibody and T cell receptor sequencing data collectively termed "adaptive immune receptor repertoire sequencing" (AIRR-seq or Rep-Seq). The AIRR Community has been actively working to standardize protocols, metadata, formats, APIs, and other guidelines to promote open and reproducible studies of the immune repertoire.
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.vrhbra
title: FAIRsharing record for: Minimum Information Required for A Glycomics Experiment -  Sample Preparation
title: MIRAGE - Sample Preparation

description: This FAIRsharing record describes:  MIRAGE (Minimum Information Required for A Glycomics Experiment) was created to improve the quality of glycomics data in the scientific literature. The sample preparation guidelines are designed to include all aspects of sample generation, purification and modification from biological and/or synthetic material. Fundamentally, the application of MIRAGE sample preparation guidelines will lead to improved recording of experimental protocols and reporting of understandable and reproducible glycomics datasets. In addition, these guidelines are considered as a common basis for any further MIRAGE reporting guidelines in order to keep the requirements for data analysis short and consistent.
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.15242c
title: FAIRsharing record for: Minimal information for Chemosensitivity Assays
title: MICHA

description: This FAIRsharing record describes:  Minimal information for Chemosensitivity Assays (MICHA) is both a web tool to aid annotation of drug sensitivity screens and a guideline for defining the minimal information required to: capture critical drug sensitivity assay components, allow the FAIRification and cataloguing of drug sensitivity screen studies, and comply with the guidelines of scientific publications and preclinical drug evaluation. It is the minimal information guidelines described in this record. MICHA is composed of four main components: compounds, specimens/samples, assay protocols, and quality control and data processing methods.
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.de40c7
title: FAIRsharing record for: Observations Data Model 2
title: ODM2

description: This FAIRsharing record describes:  Observations Data Model 2 (ODM2) is an information model for feature-based earth observations, designed to facilitate interoperability across scientific disciplines and domains. ODM2's metadata is structured around sampling, sensing, and analysis workflows. It also provides a supporting software ecosystem. Implementing the ODM2 data model as a database allows the integration of hydrological time series, soil and sediment geochemistry, biodiversity surveys, oceanographic sensor profiles, and multi-dimensional spectra.
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.sggb1n
title: FAIRsharing record for: Gene Transfer Format
title: GTF

description: This FAIRsharing record describes:  The Gene transfer format (GTF) is a file format used to hold information about gene structure. It is a tab-delimited text format based on the general feature format (GFF), but contains some additional conventions specific to gene information. A significant feature of the GTF is that it is validatable: given a sequence and a GTF file, one can check that the format is correct. This significantly reduces problems with the interchange of data between groups.
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.ygpmfw
title: FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Binding of Glycans to Receptors
title: MIRAGE NMR Guidelines - Glycan Recognition

description: This FAIRsharing record describes:  These guidelines are proposed to comprehensively describe the NMR experiments and data obtained to characterize glycan recognition by various receptors. The receptor can be a glycan binding protein (such as lectins and antibodies), a glycan binding organism (such as cells) or can have a different nature including synthetic glycan binding molecules.
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.rzlrs8
title: FAIRsharing record for: Minimum Information Required for A Glycomics Experiment - Guidelines for Reporting NMR Data on Glycan Structures
title: MIRAGE NMR Guidelines - Glycan Structures

description: This FAIRsharing record describes:  These guidelines are proposed to comprehensively describe NMR experiments and data obtained for the characterization of glycan composition, glycan conformation and glycan dynamics both for natural and unnatural glycans.
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.tzlo4x
title: FAIRsharing record for: Adaptive Immune Receptor Repertoire Data Commons API Specification
title: ADC API Specification

description: This FAIRsharing record describes:  The AIRR Data Commons (ADC) API provides programmatic access to query and download AIRR-seq data. The ADC API uses JSON as its communication format, and standard HTTP methods like GET and POST. The ADC API is read-only and the mechanism of inclusion of AIRR-seq studies into a data repository is left up to the repository. The ADC API Specification explains how to construct and execute API requests and interpret API responses.
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.cb1adb
title: FAIRsharing record for: Portable reduced-precision binary format for trajectories produced by GROMACS package.
title: xtc

description: This FAIRsharing record describes:  The XTC format is a portable binary format for trajectories produced by GROMACS package. It uses the External Data Representation (xdr) routines for writing and reading data which were created for the Unix Network File System (NFS). Trajectories are written in XTC files using a reduced precision (lossy) algorithm which works multiplying the coordinates by a scaling factor (typically 1000), so converting them to pm (GROMACS standard distance unit is nm). This allows an integer rounding of the values. Several other tricks are performed, such as making use of atom proximity information: atoms close in sequence are usually close in space (e.g. water molecules). That makes XTC format the most efficient in terms of disk usage, in most cases reducing by a factor of 2 the size of any other binary trajectory 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.iuzaxe
title: FAIRsharing record for: ASLS - Land Surface classifiers
title: land-surface

description: This FAIRsharing record describes:  Machine-readable representation of the classifiers described in chapter 7 Land Surface, by R.C. McDonald, R.F. Isbell and J.G. Speight, in Australian soil and land survey field handbook (3rd edn). Land surface is concerned mainly with surface phenomena affecting land use and soil development that have traditionally been noted at the point of soil observation. The data was converted from the print representation to this linked-data form by Linda Gregory and Simon J D Cox.
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.683eef
title: FAIRsharing record for: QuakeML
title: null

description: This FAIRsharing record describes:  QuakeML is a flexible, extensible and modular XML representation of seismological data which is intended to cover a broad range of fields of application in modern seismology. QuakeML is an open standard and is developed by a distributed team in a transparent collaborative manner. The flexible approach of QuakeML allows further extensions of the standard in order to represent waveform data, macroseismic information, probability density functions, slip distributions, shake maps, and others.
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.jh4xht
title: FAIRsharing record for: Semantic Web for Earth and Environmental Terminology Ontology
title: SWEET

description: This FAIRsharing record describes:  The Semantic Web for Earth and Environmental Terminology is a mature foundation ontology originally developed at the NASA Jet Propulsion Laboratory. Containing over 11000 concepts organized into ~200 ontologies, its top-level concepts include Representation (math, space, science, time, data), Realm (Ocean, Land Surface, Terrestrial Hydroshere, Atmosphere, etc.), Phenomena (macro-scale ecological and physical), Processes (micro-scale physical, biological, chemical, and mathematical), and Human Activities (Decision, Commerce, Jurisdiction, Environmental, Research). Since 2017, SWEET has been under the governance of the ESIP foundation.
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.wuozke
title: FAIRsharing record for: Research Object Crate
title: RO-Crate

description: This FAIRsharing record describes:  RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on schema.org annotations in JSON-LD, and aims to make best-practice in formal metadata description accessible and practical for use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to the research outcome, including their identifiers, provenance, relations and annotations.
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.