cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.4778ad
title: FAIRsharing record for: MoDNR GIS Open Data Portal
title: null

description: This FAIRsharing record describes:  The MoDNR GIS Open Data Portal is a public platform that provides geospatial datasets produced by the Missouri Department of Natural Resources. It offers maps and data on geology, water resources, environmental quality, mining activities, land use, and natural resource management across the state.
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.298b5c
title: FAIRsharing record for: The NIAID Data Ecosystem Discovery Portal
title: NDE

description: This FAIRsharing record describes:  The NIAID Data Ecosystem Discovery Portal enables dataset exploration from a wide variety of biomedical repositories and offers a convenient one-stop-shop for discovery of data on infectious and immune-mediated diseases (IIDs). The Discovery Portal regularly collects metadata from all included repositories and indexes as an open and searchable catalogues for data exploration. The NIAID Data Ecosystem is a secure environment to discover immune-mediated and infectious disease data, computational tools, and other resources to speed the development of diagnostics, therapeutics, and vaccines. The NIAID Data Ecosystem Discovery Portal harvests metadata from dataset repositories and harmonizes them to a schema to enable easy cross-platform dataset searching and filtering.
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.59e37f
title: FAIRsharing record for: Catena
title: null

description: This FAIRsharing record describes:  Catena, the Digital Archive of Historic Gardens and Landscapes is a typologically organized archive of nearly 2000 digital images that is searchable through a variety of 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.68add4
title: FAIRsharing record for: GEISHA
title: null

description: This FAIRsharing record describes:  GEISHA is the online repository of in situ hybridization and corresponding metadata for genes expressed in the chicken embryo during the first six days of 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.fcb5ce
title: FAIRsharing record for: Materials Platform for Data Science
title: MPDS

description: This FAIRsharing record describes:  The Materials Platform for Data Science (MPDS) is an online materials science database that provides curated experimental and computed data on inorganic materials, including crystal structures, physical properties, and phase diagrams. It integrates millions of data points extracted from peer-reviewed scientific literature and makes them searchable and accessible via a web interface and API for research and data-driven materials design.
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.69ab78
title: FAIRsharing record for: eSango
title: CPUT eSango

description: This FAIRsharing record describes:  CPUT eSango, a research data repository, powered by Figshare , is a multidisciplinary institutional research data repository that provides access to unique and scalable server architecture to facilitate data sharing, collaboration, storage, persistent archiving, and to showcase data from institutions to a large and growing community already used by other institutions and currently containing more than three million objects. The scope of the CPUT collection are from researchers and postgraduate students from CPUT's six faculties: Applied Sciences, Business and Management Sciences, Education, Engineering and the Built Environment, Health & Wellness Sciences, and Informatics and
Design.
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.ca1e81
title: FAIRsharing record for: FAIR Metric - software - Software has no linting issues
title: FM - SOFT_NO_LINT_ISSUES

description: This FAIRsharing record describes:  The project addresses or resolves warnings identified by compilers, safe modes, or linters.
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.1b6586
title: FAIRsharing record for: National Resource Hub (Ireland)
title: null

description: This FAIRsharing record describes:  The National Resource Hub is Ireland’s centralised platform for sharing and accessing Open Educational Resources (OER) and Open Educational Practices (OEP), supporting educators, students, and researchers in open education. Developed by the National Forum for the Enhancement of Teaching and Learning in Higher Education, the Hub promotes collaboration, reuse, and innovation in teaching and learning. It hosts a growing collection of content, all freely available to enhance educational experiences.
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.952c3f
title: FAIRsharing record for: FAIR Metric - software - Software is archived in Software Heritage
title: FM - SOFT_HERITAGE

description: This FAIRsharing record describes:  The source code repository is found in the universal source code archive, Software Heritage, to ensure long-term access to the full development history.
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.1c9a2a
title: FAIRsharing record for: Ersilia Model Hub
title: null

description: This FAIRsharing record describes:  The Ersilia Model Hub is a unified open‑source platform offering pretrained AI/ML models for drug discovery in infectious and neglected diseases. You can run models online (no coding needed) or download them for local inference. It also enables contributions of models from literature or new custom models, promoting open access and reuse. As part of Ersilia’s mission, it empowers research in low‑resource settings by making AI/ML tools more accessible.
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.dfefc9
title: FAIRsharing record for: Machine Learning Dataset Catalog Application Profile
title: MLDCAT-AP

description: This FAIRsharing record describes:  MLDCAT-AP (Machine Learning DCAT-AP) is an Application Profile that extends DCAT-AP in the field of machine learning by adding concepts such as Machine Learning Model, Task, etc. MLDCAT-AP aims to describe machine learning models, together with their datasets, quality measured on the datasets and citing papers. It has been originally developed in collaboration with OpenML. Over time, concepts coming from AI Act and AI Code of Practice (AI Cop) have been included and a reference to them has been added for each class or property where needed, including those references to existing data models. 
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.e97e67
title: FAIRsharing record for: EOL Field Data Archive
title: null

description: This FAIRsharing record describes:  The EOL Field Data Archive contains publicly available data from research campaigns conducted by the National Science Foundation (NSF) and other agencies since about 1967. Field Data Archive datasets are collected from research instrumentation operated by NCAR as well as other organizations and investigators. 
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: 10.34808/hfda-sy14
title: Training Performance, Dataset Classification and Prediction Outputs of Hybrid DL Model for EI-MS Prediction

description: This dataset contains the numerical data used to generate figures in the related article “Hybrid Deep Learning Model for EI-MS Spectra Prediction” (DOI: 10.3390/ijms27031588). It includes model training data and evaluation metrics (ten random seeds) for baseline and ablated model variants, as well as spectral outputs from the best-trained model for three molecules: acetylene, 4-chloro-3-nitrobenzophenone, and 1,2,3,4-tetraphenyl-1,4-butanedione. For 4-chloro-3-nitrobenzophenone, prediction results from two additional models (NEIMS and RASSP SubsetNet) are also provided. The dataset further contains classification results that assign training and test compounds to molecular classes and superclasses. A metadata file is included to provide details on the contents of each csv file.
DOI: 10.25504/fairsharing.288177
title: FAIRsharing record for: MEX Vocabulary
title: null

description: This FAIRsharing record describes:  The MEX Vocabulary has been designed to define a lightweight and flexible schema for publishing machine learning outputs metadata. It is a free-format to export and share machine learning metadata, indifferent to existing workflow systems or frameworks. 
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.ff12de
title: FAIRsharing record for: UEL Research Repository
title: null

description: This FAIRsharing record describes:  The UEL Research Repository preserves and disseminates open access publications, research data, and theses created by members of the University of East London.
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.d661ca
title: FAIRsharing record for: FOUNDRY-ML
title: null

description: This FAIRsharing record describes:  Foundry-ML is an open-source platform that provides curated, machine-learning-ready datasets for materials science and chemistry research. It offers structured datasets with standardized metadata, including tabular data, images, and hierarchical scientific data formats. The platform focuses on scientific data such as materials properties, chemical structures, experimental measurements, and simulation results to support reproducible ML workflows in scientific discovery.
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.3065aa
title: FAIRsharing record for: Loeb Music Library
title: null

description: This FAIRsharing record describes:  The Loeb Music Library digitizes scores and libretti selected for their rare or unique natures and their popularity as objects of research and teaching.
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.acbc28
title: FAIRsharing record for: RDMkit Toxicology data Domain
title: null

description: This FAIRsharing record describes:  This collection has been created via a collaboration between FAIRsharing and RDMkit to provide a live representation of those standards and databases described within the Toxicology data domain pages of RDMKit.
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.bc7f13
title: FAIRsharing record for: Korea Polar Data Center
title: KPDC

description: This FAIRsharing record describes:  The Korea Polar Data Center (KPDC) is a national repository that collects, manages, and preserves scientific data generated by South Korea’s polar research activities in the Arctic and Antarctic regions. It provides metadata freely to the public and allows access to raw research data for scientific and non-commercial purposes, supporting studies in fields like oceanography, atmospheric science, and climate research.
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.ea6373
title: FAIRsharing record for: Leakage and the Reproducibility Crisis in ML-based Science
title: null

description: This FAIRsharing record describes:  The document introduces a structured taxonomy of leakage types and recommends transparent reporting practices, including model info sheets, to improve reporting and reliability in ML-based science.
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.f33cf4
title: FAIRsharing record for: Port Moody's Open Data Portal
title: null

description: This FAIRsharing record describes:  Port Moody’s Open Data Portal provides public access to a wide range of data, statistics, and government information for the city. It includes datasets on permits, licences, business directories, demographics, and more. The goal of the portal is to promote transparency, facilitate public collaboration, and support innovation and decision-making.
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.b85b7e
title: FAIRsharing record for: OFA Database
title: null

description: This FAIRsharing record describes:  The Orthopedic Foundation for Animals (OFA) database is a comprehensive repository for canine health- screening information, aimed at promoting the welfare of companion animals. Founded in 1966, its mission is to reduce the incidence of genetic disease by collecting health test results and providing tools for veterinarians, breeders and prospective dog owners.
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.2149f5
title: FAIRsharing record for: SITES Data Portal
title: null

description: This FAIRsharing record describes:  The Swedish Infrastructure for Ecosystem Science (SITES) Data Portal is an open-access web platform providing quality-controlled long-term ecosystem and field-station data from all SITES research sites across Sweden. It allows researchers, students and the public to download datasets from terrestrial, aquatic, atmospheric and biological monitoring programs.
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.8a55c2
title: FAIRsharing record for: Artificial Intelligence-Ready CHEmiCal Knowledge Base
title: AIRCHECK

description: This FAIRsharing record describes:  Artificial Intelligence-Ready CHEmiCal Knowledge Base (AIRCHECK) is an open, cloud-based platform that provides the high-quality, structured data AI needs to accelerate drug discovery. AIRCHECK helps researchers train and improve AI models to predict how small molecules interact with proteins.
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.1535c4
title: FAIRsharing record for: Erasmus University Rotterdam Data Repository 
title: EDR

description: This FAIRsharing record describes:  The EUR Data Repository (EDR) is the institutional data-repository of Erasmus University Rotterdam.
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.f3ef64
title: FAIRsharing record for: IMPACT
title: null

description: This FAIRsharing record describes:  IMPACT, the Information Marketplace for Policy and Analysis of Cyber-risk & Trust, is a community of providers and seekers of cyber-risk-relevant data, tools and analytics to inform policy and analysis of cyber-risk and trust. The distributed repository provides researchers, developers and evaluators with current and longitudinal empirical data relevant to cyber threat prevention, detection and mitigation R&D.
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.3a9353
title: FAIRsharing record for: Archives of Photographic PLates for Astronomical USE
title: APPLAUSE

description: This FAIRsharing record describes:  The Plate Archive (APPLAUSE) is a digital repository of historical astronomical photographic plates and associated metadata from multiple observatories, preserved and scanned at high resolution for scientific use. It includes images of the original plates, observation logbooks, and extracted astrometric and photometric data, enabling long-term studies of celestial objects and light curves. The project integrates this archival material into modern astronomical research frameworks, such as the International Virtual Observatory, making these century-old observations accessible for analysis today.
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: 10.5281/zenodo.13142762
title: Dataset of IEEE and Synthetic Power System Test Cases (used in Oriol Cartiel's PhD)

description: The data used in my PhD thesis originate from publicly available internet repositories (see references within the files). The dataset is based on detailed information from both IEEE n-bus test power systems and synthetic power grid test cases developed by the scientific community.

The data are stored in spreadsheet format (.xlsx) and include comprehensive technical information such as transmission line impedances, equivalent internal impedances, generator locations, load demands and their corresponding locations, as well as shunt element specifications. All values are expressed in per-unit (pu), assuming a base power of 100 MVA.

References to the original internet repositories are included within the same files to enable further consultation if required.