cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.c6b25e
title: FAIRsharing record for: Springer Nature Research data policy
title: null

description: This FAIRsharing record describes:  At Springer Nature we advance discovery by publishing trusted research, supporting the development of new ideas and championing open science. We also aim to facilitate compliance with research funder and institution requirements to share data.
To help accomplish this we have established a standard research data policy for our journals, based on transparency around supporting data. This policy applies to all datasets that are necessary to interpret and replicate the conclusions reported in a research article. This policy mandates the use of a data availability statement, and endorses (but does not mandate) submission into an appropriate domain-specific repository except under certain conditions. A large number of our journals already support this policy, including Nature Portfolio, BMC and many Springer and Palgrave titles. They are in the process of implementing this policy across the remainder of our portfolio, in stages.

For information on a journal’s specific policies, please consult the journal submission guidelines. 

Please note: This policy supersedes Springer Nature's (legacy) tiered research data policy, which can be viewed here: https://www.springernature.com/gp/authors/research-data-policy/research-data-policy-types .
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.5fcf2b
title: FAIRsharing record for: iNaturalist
title: null

description: This FAIRsharing record describes:  iNaturalist provides a place to record and organize nature findings, meet other nature enthusiasts, and learn about the natural world. It encourages the participation of a wide variety of nature enthusiasts, including, but not exclusive to, hikers, hunters, birders, beach combers, mushroom foragers, park rangers, ecologists, and fishermen. Through connecting these different perceptions and expertise of the natural world, iNaturalist hopes to create extensive community awareness of local biodiversity and promote further exploration of local 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.909bc6
title: FAIRsharing record for: MetaboBank
title: null

description: This FAIRsharing record describes:  MetaboBank is a public repository for metabolomics data obtained from mass spectrometry (MS), NMR, and imaging MS. Metadata are described in the MAGE-TAB format, which is standard in functional genomics and proteomics.
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.c8961b
title: FAIRsharing record for: Model Instances in VOTables
title: MIVOT

description: This FAIRsharing record describes:  Model Instances in VOTables (MIVOT) defines a syntax to map VOTable data to any model serizalized in VO-DML. The annotation operates as a bridge between the data and the model. It associates the column/param metadata from the VOTable to the data model elements (class, attributes, types, etc.) of a standardized IVOA data model, expressed in the Virtual Observatory Data Modeling Language (here after VO-DML). It also brings up VOTable data or metadata that were possibly missing in the table metadata. The data model elements are grouped in an independent annotation block complying with the MIVOT XML syntax. This annotation block is added as an extra resource element at the top of the VOTable result resource. The MIVOT syntax allows to describe a data structure as a hierarchy of classes. It is also able to represent relations and composition between them.It can also build up data model objects by aggregating instances from different tables of the VOTable. Missing metadata can also be provided using MIVOT, for instance by completing coordinate system description, or by providing curation tracing. The annotation block is made of re-usable bricks that facilitate the development of tools on both client and server sides. The adopted design does not alter the original VOTable content. The backward compatibility is preserved thanks to the limited impact of the annotations on legacy clients. 
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.86e002
title: FAIRsharing record for: NERC Open Research Archive
title: NORA

description: This FAIRsharing record describes:  This archive (NORA) is the Institutional Repository for research publications and outcomes of staff at the British Antarctic Survey, British Geological Survey, National Oceanography Centre, and UK Centre for Ecology & Hydrology.
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.cb59f0
title: FAIRsharing record for: UK Research and Innovation Open Access Policy
title: UKRI Open Access Policy

description: This FAIRsharing record describes:  Making research articles open access means that the results of publicly funded research are available to everyone for free, and under conditions that enable them to be re-used and built upon. Those with awards from UK Research and Innovation (UKRI) or one of our councils must follow the open access requirements described in this policy when publishing a research article acknowledging our funding. Therefore this policy is in particular concerned with the data that is the publications themselves, rather than other types of research digital objects. Policies for these other types of digital objects are handled by the individual member research councils, as linked to this policy record.
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.583211
title: FAIRsharing record for: Phenotyping Hybrid Information System
title: null

description: This FAIRsharing record describes:  The open-source Phenotyping Hybrid Information System (PHIS), based on OpenSILEX, manages and collects data from Phenotyping and High Throughput Phenotyping experiments on a day to day basis. It can store, organize and manage highly heterogeneous (e.g. images, spectra, growth curves) and multi-spatial and temporal scale data (leaf to canopy level) originating from multiple sources (field, greenhouse). It unambiguously identifies all objects and traits in an experiment and establishes their relations via ontologies and semantics that apply to both field and controlled conditions. Its ontology-driven architecture is a powerful tool for integrating and managing data from multiple experiments and platforms, for creating relationships between objects and enriching datasets with knowledge and metadata. It is MIAPPE and BrAPI compliant, and naming conventions are recommended for users to declare their resources. Several experimental platforms use PHIS to manage their data, and PHIS instances dedicated to sharing resources (projects, genetic resources, variables) also exist to allow the sharing of studied concepts.
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.d6c68e
title: FAIRsharing record for: Science and Technology Facilities Council scientific data policy
title: STFC scientific data policy

description: This FAIRsharing record describes:  STFC, through the facilities it operates and subscribes to and the grants it funds, is one of the main UK producers of scientific data. This data is one of the major outputs of STFC and a major source of its economic impact. STFC, as a publicly funded organisation, has a responsibility to ensure that this data is carefully managed and optimally exploited, both in the short and the long term. This policy applies to all scientific data produced as a result of STFC funding.
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.052828
title: FAIRsharing record for: nmrXiv
title: null

description: This FAIRsharing record describes:  nmrXiv (pronounced nm-archive) is a FAIR and Open, Consensus-Driven Nuclear Magnetic Resonance (NMR) Data Repository and Computational platform. It is currently being developed as a part of the NFDI4Chem initiative with the ultimate goal of accelerating broader coordination and data sharing among researchers by creating a platform for managing, sharing, and analyzing raw and processed NMR spectral 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.6ac6aa
title: FAIRsharing record for: openMINDS
title: null

description: This FAIRsharing record describes:  openMINDS is a metadata framework for linked scientific data, with an initial focus on neuroscience.
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.aaa679
title: FAIRsharing record for: Data Science Journal Editorial Policies
title: null

description: This FAIRsharing record describes:  The editorial policies, including information on data, pre-print and review policies, for the Data Science Journal.
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.c99336
title: FAIRsharing record for: Multiscale Electrophysiology Data (MED) Format
title: MED

description: This FAIRsharing record describes:  Multiscale Electrophysiology Data (MED) Format for big date in electrophysiology
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.3cd777
title: FAIRsharing record for: Standard communications protocol for computer assisted electrocardiography
title: SCP-ECG V3.0

description: This FAIRsharing record describes:  Standard communications protocol for computer assisted electrocardiography V 3.0 . It is also defined in the joint ANSI/AAMI standard EC71:2001 and in the CEN standard EN 1064:2005.
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.77f6bf
title: FAIRsharing record for: medical waveform format encoding rules
title: MFER

description: This FAIRsharing record describes:  The MFER is standard which can describe every medical waveforms.Since the MFER is focused on the medical waveform and can simplely describe them, MFER expects that MFER is widly utilized in clinical sectors and for research, education etc..
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.a3271d
title: FAIRsharing record for: Vital Signs Information Representation
title: VSIR

description: This FAIRsharing record describes:  Vital Signs Information Representation, a standard for communication of medical devices in anesthesia and intensive care medicine. It is also the ISO/IEEE 11073-10101:2020 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.bb5c17
title: FAIRsharing record for: MRC Brain Network Dynamics Unit Data Sharing Platform
title: MRC BNDU Data Sharing Platform

description: This FAIRsharing record describes:  Designed to enable the sharing of research data, tools and resources generated by the Medical Research Council Brain Network Dynamics Unit at the University of Oxford (MRC BNDU).
Data set classes on this platform include: Electrophysiological recordings from humans and rodents, digital micrographs of brain tissue, scripts and code used for analysis of data, printable 3D models and microcontroller code, and code for modelling of neuronal networks.

User registration required for downloading.
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.4b15a4
title: FAIRsharing record for: SciLifeLab Data Platform
title: null

description: This FAIRsharing record describes:  The SciLifeLab Data Platform collates tools, databases, information, and other resources that can be useful to researchers and data-producing facilities working in the area of data-driven life science. We have two collections; services and resources. Services include tools and databases, as well as other things that can be used directly in research. Resources include collections of information around a given topic to data-driven life science. The Platform was originally soft-launched in 2022, and  a formal launch took place in 2023. We continue to add features and content in consultation with the community. We have multiple sections dedicated to community building. For example, we have data-centric summaries of data-driven life science research that shares data and/or code. We also list relevant events, jobs, and funding.
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.69255a
title: FAIRsharing record for: Rice Research Repository
title: R-3

description: This FAIRsharing record describes:  As part of its commitment to deepening the impact and visibility of Rice University research, Fondren Library manages the Rice Research Repository (R-3). This digital publishing platform is for members of the campus community who want to make their scholarship publicly available.  R-3 accepts a wide variety of content, including conference papers and presentations, theses and dissertations, journal articles, research center publications, and academic journals.
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.5ff3e9
title: FAIRsharing record for: IMP: bridging the gap for medicinal plant genomics
title: IMP

description: This FAIRsharing record describes:  Medicinal plants have garnered significant attention in ethnomedicine and traditional medicine due to their potential antitumor, anti-inflammatory and antioxidant properties. Recent advancements in genome sequencing and synthetic biology have revitalized interest in natural products. Despite the availability of sequenced genomes and transcriptomes of these plants, the absence of publicly accessible gene annotations and tabular formatted gene expression data has hindered their effective utilization. To address this pressing issue, we have developed IMP (Integrated Medicinal Plantomics), a freely accessible platform at https://www.bic.ac.cn/IMP. IMP curated a total of 8 565 672 genes for 84 high-quality genome assemblies, and 2156 transcriptome sequencing samples encompassing various organs, tissues, developmental stages and stimulations. With the integrated 10 analysis modules, users could simply examine gene annotations, sequences, functions, distributions and expressions in IMP in a one-stop mode. We firmly believe that IMP will play a vital role in enhancing the understanding of molecular metabolic pathways in medicinal plants or plants with medicinal benefits, thereby driving advancements in synthetic biology, and facilitating the exploration of natural sources for valuable chemical constituents like drug discovery and drug production.
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.a1e399
title: FAIRsharing record for: LIPID MAPS® Lipid Classification System Identifier
title: LM ID

description: This FAIRsharing record describes:  The LIPID MAPS® Lipid Classification System is comprised of eight lipid categories, each with its own subclassification hierarchy. All lipids in the LIPID MAPS® Structure Database (LMSD) have been classified using this system and have been assigned a unique LIPID MAPS® ID (LM_ID). LMSD can be searched by lipid class, common name, systematic name or synonym, mass, InChIKey or LIPID MAPS® ID with the search box in the banner, or alternatively, by LIPID MAPS® ID, systematic or common name, mass, formula, category, main class, subclass data, or structure or sub-structure with one of the search interfaces in the LMSD database section. Each LMSD record contains an image of the molecular structure, common and systematic names, links to external databases, Wikipedia pages (where available), other annotations and links to structure viewing tools. In addition to LMSD search interfaces, you can drill down through the classification hierarchy below to the LMSD record for an individual lipid. LM IDs are comprised of a  unique 12 character identifier string based on the classification schema: two fixed database designation characters, a two letter lipid category code, two digit lipid species class code, two digit lipid species subclass code, and a unique four character identifier within a subclass.
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.670b83
title: FAIRsharing record for: USDA Soil Taxonomy Classification Guide
title: null

description: This FAIRsharing record describes:  The U.S. Department of Agriculture (USDA), Natural Resources Conservation Service (NRCS), Soil Taxonomy provides leadership for amending Soil Taxonomy and for maintaining the soil series classification data. All USDA soil surveys within the National Cooperative Soil Survey (NCSS) must use Soil Taxonomy. The second edition of Soil Taxonomy, A Basic System of Soil Classification for Making and Interpreting Soil Surveys is the result of the collective experience and contributions of thousands of pedologists from around the world.
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.b41a2b
title: FAIRsharing record for: CERN Open Data Portal
title: null

description: This FAIRsharing record describes:  The CERN Open Data Portal is a repository that enables large scale experimental data releases of curated datasets, accompanying software, supporting documentation and example analyses. The CERN's Open Data portal is developed by the CERN Information Technology group in close collaboration with LHC experiments and many researchers in the High-Energy Physics community. The CERN Open Data portal is the access point to a growing range of research data produced by the experiments at CERN and disseminates the preserved output from various research activities and includes accompanying software and documentation needed to understand and analyse the data. The portal adheres to established global standards in data preservation and Open Science: the products are shared under open licenses; they are issued with a Digital Object Identifier (DOI) to make them citable objects. The CERN Open Data portal hosts more than one petabyte of collision, simulated and derived datasets, accompanied with configuration files, documentation, virtual machines and runnable analysis examples that were released into the public domain by the LHC experiments. 
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.