cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25504/fairsharing.0ced67
title: FAIRsharing record for: INCLUDE Data Hub
title: null

description: This FAIRsharing record describes:  The INCLUDE (INvestigation of Co-occurring conditions across the Lifespan to Understand Down syndromE) Project is an NIH-wide collaboration that seeks to improve health and quality-of-life for people with Down syndrome. The INCLUDE Project Data Coordinating Center and partners created the INCLUDE Data Hub, a centralized data resource that allows access to large-scale clinical and multi-omics datasets specific to Down syndrome and supports collaborative, cloud-based analysis to accelerate scientific discoveries related to Down syndrome and its co-occurring conditions.
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.22149359
title: <strong>20-MONTH MONITORING OF </strong><strong>SARS-COV-2 IN WASTEWATER OF CURITIBA, IN SOUTHERN BRAZIL</strong>

description: This dataset includes the quantification of SARS-COV-2 in the wastewaters from Curitiba (Paraná State, Brazil), epidemiological data from the same city, and the R script used to perform the analysis. The article about the data and analysis were submited as an research article to the journal of Enviromental Science and Pollution Research. R scritps were atualized after a review in May 2023.
DOI: 10.6084/m9.figshare.22149359.v1
title: LONG-TERM MONITORING OF SARS-COV-2 RNA IN WASTEWATER OF THE LARGEST CITY IN SOUTHERN BRAZIL

description: This dataset includes the quantification of SARS-COV-2 in the wastewaters from Curitiba (Paraná State, Brazil), epidemiological data from the same city, and the R script used to perform the analysis.
DOI: 10.5281/zenodo.14066023
title: Unique Property Reference Number (UPRN) indicator: Satellite measures (UPRN _5_1)

description: This indicator provides satellite derived green and blue space indices:



EVI: Enhanced Vegetation Index

NDVI: Normalised Difference Vegetation Index

NDWI: Normalised Difference Water Index


at UPRN level for the Cheshire and Merseyside region.
DOI: 10.5281/zenodo.14066024
title: Unique Property Reference Number (UPRN) indicator: Satellite measures (UPRN _5_1)

description: This indicator provides satellite derived green and blue space indices:



EVI: Enhanced Vegetation Index

NDVI: Normalised Difference Vegetation Index

NDWI: Normalised Difference Water Index


at UPRN level for the Cheshire and Merseyside region.
DOI: 10.25504/fairsharing.250fd6
title: FAIRsharing record for: Seattle Alzheimer's Disease Brain Cell Atlas
title: SEA-AD

description: This FAIRsharing record describes:  The Seattle Alzheimer’s Disease Brain Cell Atlas (SEA-AD) consortium strives to gain a deep molecular and cellular understanding of the early pathogenesis of Alzheimer’s disease. To accomplish this, they are leveraging advances in next-generation single-cell molecular profiling technologies developed through the BRAIN Initiative and at the Allen Institute for Brain Science. They are integrating single-cell profiling technologies with quantitative neuropathology and deep clinical phenotyping through collaboration with the University of Washington Alzheimer's Disease Research Center (ADRC) and Kaiser Permanente Washington Health Research Institute (KPWHRI), to create a multifaceted open data resource. The SEA-AD consortium seeks to understand the cellular and molecular changes that underlie Alzheimer’s disease initiation and progressive cognitive decline, with the ultimate goal of identifying targets for therapeutic intervention.
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.14016644
title: Sample based prevalence data complementing the European Union One Health 2023 Zoonoses Report - Luxembourg

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; LU; csv; zoonoses_support@efsa.europa.eu
DOI: 10.15468/dl.cm725r
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ulex argenteus subsp. subsericeus (Cout.) Rothm."
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028058-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnjrug
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Digitalis ferruginea L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 581 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028059-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.e8e931
title: FAIRsharing record for: Cancer Data Service
title: CDS

description: This FAIRsharing record describes:  The Cancer Data Service (CDS) is a data repository under the NCI's Cancer Research Data Commons (CRDC) infrastructure for storing cancer research data generated by NCI funded programs. CDS provides secure and authorized storage and data sharing capabilities in the cloud for studies that do not have a repository specific for their data type or are wait listed or not approved by that repository for storage.  CDS hosts both controlled and open access data. Permission to access controlled data on CDS is obtained through the NCBI’s dbGaP system. CDS hosts data and offers analysis capabilities through the NCI Cloud Resources. Seven Bridges Cancer Genomics Cloud, one of the NCI’s Cloud Resources, can be used to search and analyze data. Seven Bridges-CGC is established on Amazon Web Services (AWS).
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.bdf679
title: FAIRsharing record for: Ulster University Research Data Management Policy
title: Ulster University RDM Policy

description: This FAIRsharing record describes:  The University’s Research Data Management (RDM) Policy aims to: foster responsibility for research data management through the promotion of best practice; ensure that those involved in the research process are aware of their data-related responsibilities; promote open access to research data produced at Ulster University in order to facilitate data discovery, citation, sharing and collaboration; and enable the University to meet its obligations with regard to research data management as defined by research funders and in compliance with relevant legislation and regulations. This policy applies to all members of the University conducting research or involved in the creation, collection, processing, control or generation of research 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: 10.5281/zenodo.14354886
title: Data The ideological roots of populist radical-right climate scepticism: a qualitative data analysis of the case Vlaams Belang
DOI: 10.5281/zenodo.14354887
title: Data The ideological roots of populist radical-right climate scepticism: a qualitative data analysis of the case Vlaams Belang
DOI: 10.25504/fairsharing.77fc63
title: FAIRsharing record for: BioImage Model Zoo
title: BioImage.IO

description: This FAIRsharing record describes:  The BioImage Model Zoo is a community-driven, fully open resource where standardized pre-trained models can be shared, explored, tested, and downloaded for further adaptation or direct deployment in multiple end user-facing tools (e.g., ilastik, deepImageJ, QuPath, StarDist, ImJoy, ZeroCostDL4Mic, CSBDeep). To enable everyone to contribute and consume the Zoo resources, we provide a model standard to enable cross-compatibility, a rich list of example models and practical use cases, developer tools, documentation, and the accompanying infrastructure for model upload, download and testing.
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.9b1d5d
title: FAIRsharing record for: Revista Lusófona de Estudos Culturais Data Sharing Policy
title: RLEC

description: This FAIRsharing record describes:  The Revista Lusófona de Estudos Culturais (RLEC)/Lusophone Journal of Cultural Studies (LJCS) is a thematic journal in cultural studies. It takes a comprehensive approach to the field, promoting new topics and research questions and mapping the transformations in this field of studies. The publication adopts a critical look at how power relations are (re)produced in everyday cultural practices on various scales and dimensions.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.15468/dl.mshu4y
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Digitalis laevigata Waldst. & Kit., Digitalis aurea Benth.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 244 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028061-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.513cae
title: FAIRsharing record for: Cadernos de Saúde Data Policy
title: CS Data Policy

description: This FAIRsharing record describes:  Cadernos de Saúde is a biannual journal of the Faculty of Health Sciences and Nursing of the Universidade Católica Portuguesa, whose objective is to publish original scientific work in the areas of health sciences and medical education.

It is an international scientific journal that is governed by the Universidade Católica Portuguesa and aims to disseminate the results of original scientific research in fundamental and applied Health, Life and Education Sciences.

It publishes original, revision or opinion articles, letters to the editor, and resumes of original research conducted during or post graduation, M.Sc. or doctoral investigation in all areas of health science, education or social work related to promotion of healthcare of populations.
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.14016518
title: Sample based prevalence data complementing the European Union One Health 2023 Zoonoses Report - Croatia

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; csv; zoonoses_support@efsa.europa.eu
DOI: 10.15468/dl.un666r
title: Occurrence Download

description: A dataset containing 851 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaetocercus berlepschi Simon, 1889"
 ]
}

 The dataset includes 851 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028062-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.73888a
title: FAIRsharing record for: AGRITOX
title: null

description: This FAIRsharing record describes:  AGRITOX is a database created in 1986 by INRA. Only data deemed valid by experts from official assessment bodies at French and/or European level are presented. They come from active substance dossiers and/or marketing authorization applications submitted by manufacturers, and from data published in the scientific literature.
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.750d23
title: FAIRsharing record for: Canada’s Existing Substances Assessment Repository 
title: CESAR

description: This FAIRsharing record describes:  Assessing and managing the health and environmental risks of chemical substances under the Chemicals Management Plan.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.15468/dl.dq338n
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Picrorhiza kurrooa Royle"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028063-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3gt9u
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dittrichia viscosa subsp. angustifolia (Bég.) Greuter, Dittrichia orientalis Brullo & De Marco, Inula viscosa var. angustifolia Bég.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 46 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028064-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.d6e8fa
title: FAIRsharing record for: ILO-WHO International Chemical Safety Cards 
title: ICSCs

description: This FAIRsharing record describes:  The International Chemical Safety Cards (ICSCs) are data sheets intended to provide essential safety and health information on chemicals in a clear and concise way. 
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.667115
title: FAIRsharing record for: Information Platform for Chemical Monitoring
title: IPCHEM

description: This FAIRsharing record describes:  IPCHEM - the Information Platform for Chemical Monitoring is the reference access point for discovering chemical monitoring data collections which are managed by and are available to European Commission bodies, Member States, international and national organisations and research 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.3b78e1
title: FAIRsharing record for: Japan Existing Chemical Database 
title: JECDB

description: This FAIRsharing record describes:  The Japan Existing Chemical Data Base makes available the toxicity test reports from Japan's existing chemicals safety programme. Each report consists of the nomenclature of the chemical, abstracts and summarized data from the studies in English. Individual study reports are available in Japanese.
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.5fee61
title: FAIRsharing record for: Substances in Preparations In the Nordic countries SPIN
title: SPIN

description: This FAIRsharing record describes:  SPIN, Substances in Preparations In the Nordic countries contains information on more than 30,000 chemical substances from each of the Nordic product registers. It is designed to provide the public with as much data as possible from the registers without disclosing confidential business information. These data are valuable concerning the downstream uses of chemical substances in products on the national markets. 
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.c8f1cd
title: FAIRsharing record for: NITE Japan-GHS
title: GHS-J

description: This FAIRsharing record describes:  This database includes GHS classification results by the Japanese government with symbols, signal words, hazard statements and precautionary statements and rationale for the classification in accordance with the Japanese classification guidance. These classifications are advisory classifications and intended to be used as a reference for preparing GHS labelling and SDSs by enterprises.
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: 10.21227/ptds-rs49
title: Ore particle

description: This dataset contains ore particle images designed for segmentation tasks in industrial and mining applications. It includes high-resolution images captured under various environmental conditions to simulate real-world scenarios. The dataset is annotated with pixel-level segmentation masks, enabling precise identification of individual ore particles for tasks such as size measurement and particle classification. It provides a valuable resource for researchers and practitioners aiming to develop and benchmark advanced segmentation algorithms. The dataset's diversity in particle shapes, sizes, and distributions ensures its applicability in evaluating the robustness and generalization capabilities of machine learning models.
DOI: 10.25504/fairsharing.ae14f6
title: FAIRsharing record for: Standards for Reporting Qualitative Research
title: SRQR

description: This FAIRsharing record describes:  The Standards for Reporting Qualitative Research (SRQR) aims to improve the transparency of all aspects of qualitative research by providing clear standards for reporting qualitative research, and includes 21 items. These standards will assist authors during manuscript preparation, editors and reviewers in evaluating a manuscript for potential publication, and readers when critically appraising, applying, and synthesizing study findings.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.15468/dl.u7sb7e
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gnaphalium luteoalbum L."
 ]
}

 The dataset's 1 records were derived from 365 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028056-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzjzeq
title: Occurrence Download

description: A dataset containing 1635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Sesamum indicum L."
 ]
}

 The dataset includes 1635 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028065-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.