cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fcvwvs
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 {
 "or" : [
 "StateProvince is LOJA [?]",
 "StateProvince is LOJA-ZAMORA",
 "StateProvince is LOJA/AZUAY",
 "StateProvince is LOJA/EL ORO",
 "StateProvince is LOJA/ZAMORA-CHINCHIPE",
 "StateProvince is LOja",
 "StateProvince is Loja",
 "StateProvince is Loja (?)",
 "StateProvince is Loja / Zamora-Chinchipe",
 "StateProvince is Loja Norte. 8.9 km west of Sabanillas on old road to Loja, 2.5 km west of divergence of old and new roads."
 ]
 },
 "TaxonKey is Protozoa"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172974-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rldef
title: Occurrence Download

description: A dataset containing 1040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Sechium",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1040 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031341-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csf5vs
title: Occurrence Download

description: A dataset containing 23656 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 Morus alba L."
 ]
}

 The dataset includes 23656 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028138-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14356173
title: TEXT MINING- GENDER BIAS

description: Chronic pain patients testimonies realted to their pain experience due sex/gender analyzed by text mining technique
DOI: 10.5281/zenodo.14356174
title: TEXT MINING- GENDER BIAS

description: Chronic pain patients testimonies realted to their pain experience due sex/gender analyzed by text mining technique
DOI: 10.17043/andren-2024-gamlebyviken-geochemistry-1
title: Geochemistry data from Gamlebyviken, Swedish east coast, for the last 3000 years
DOI: 10.25504/fairsharing.e4f226
title: FAIRsharing record for: University of Sheffield - Open Research Data
title: ORDA

description: This FAIRsharing record describes:  ORDA is the University of Sheffield’s research data repository, which enables University research data to be shared, discovered, and preserved. It is provided by Figshare, and managed and curated by the University Library’s Research Data Management team. Researchers are strongly encouraged to deposit their data in ORDA, unless there is a subject-specific repository or data centre which is commonly used in their field. Each record placed in ORDA is also provided with a Datacite DOI. ORDA is ideal for non-sensitive data that can be made publicly available online. While depositors can restrict or embargo access to data in ORDA if required,  there may be more appropriate long-term storage options for sensitive data in other repositories with varying levels of controlled access, or in University networked storage.
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.jwu59j
title: Occurrence Download

description: A dataset containing 1021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus vipio Pallas, 1811"
 ]
}

 The dataset includes 1021 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028139-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.d62efc
title: FAIRsharing record for: HZDR Data Policy - Terms and Conditions for the Storage, Access and Curation of Research Data
title: HZDR Data Policy

description: This FAIRsharing record describes:  The data policy for the HZDR research centre, which aligns with FAIR. National and international research organizations support the long-term safeguarding of and the open access to research data from publicly funded research, as laid down in the "Berlin Declaration on Open Access” of 2003 and the “Guidelines on Data Management in Horizon 2020”. The Alliance of German Science Organizations, the Deutsche Forschungsgemeinschaft and the Helmholtz Association have taken this into account in their guidelines for the handling of research data. The HZDR approves the principle of open access to research data. With regards to HZDR research, open access to research data should be ensured wherever possible via, among other things, citable data publications.
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.tjms44
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia fragifera Jan, Euphorbia rablensis Wulfen ex Schrank, Euphorbia rablensis Wulfen, Euphorbia epithymoides var. fragifera (Jan) Fiori)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 232 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028141-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.8f7744
title: FAIRsharing record for: Medical Informatics Initiative Standardised Use and Access Rules
title: MII Data Use and Access

description: This FAIRsharing record describes:  The document describes and mandates the prerequisites for central access and the standardised conditions for the use of medical data for research within MII. MII is a consortium of university hospitals and partner organisations with linked data integration centres. While placing emphasis on patient privacy, this document also reconciles the sometimes conflicting interests of attending physicians and medical researchers – resulting in a form of usage that is secure, ethical and features robust data protection.
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.5dse73
title: Occurrence Download

description: A dataset containing 14 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 Cinnamomum tamala (Buch.-Ham.) T.Nees & Eberm."
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028143-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s75rxv
title: Occurrence Download

description: A dataset containing 820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Indonesia, Philippines, Malaysia)",
 "TaxonKey is Elephantopus L."
 ]
}

 The dataset includes 820 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028144-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.d6d729
title: FAIRsharing record for: Research Data Management policy of Erasmus University Rotterdam
title: RDM Policy of EUR

description: This FAIRsharing record describes:  This document contains the RDM policy of the Erasmus University Rotterdam. Version 1.0 of the policy was approved by the executive board on 25th of August 2020. The Erasmus University Rotterdam (EUR) recognizes the fundamental importance of research data and the management of related administrative records in maintaining quality research and scientific integrity. In addition, the EUR committed to the FAIR data principles (2016) and is pursuing the highest standards. The EUR acknowledges that: Correct and easily retrievable research data are the foundation of and integral to every research project. Research data are necessary for the verification and defence of research processes and results. RDM policies are highly valuable to current and future researchers. Research data have a long-term value for research and academia, with the potential for widespread use in society.
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.14258919
title: Product Images for Life Cycle Assessment Dataset For Peritoneal Dialysis and Haemodialysis in Modena

description: The database contains a collection of images showcasing the individual components of peritoneal dialysis (PD) products, along with their corresponding weights. These images serve as a visual record for life cycle assessment (LCA) purposes, focusing on the material composition and environmental impact of each product.





Patient Education Materials: Photographs of educational materials provided to patients, with accompanying data on the weight of the paper and packaging.




Catheters and Surgical Kits: Images display the disassembled components of PD catheters and surgical kits, including tubing, connectors, and packaging. Each image is annotated with the precise weight of the individual components.




Dialysis Solution Bags: The database includes images of both CAPD and APD solution bags, separated into their constituent parts (e.g., plastic bag, solution, and protective wrapping), with weights noted for each component.




Connection Devices and Consumables: Detailed images of connection devices, clamps, and other consumable items, with individual component weights clearly labeled.




Packaging and Transport Materials: Photographs of transport packaging, such as cardboard boxes and plastic wraps, alongside recorded weights for each element.




Maintenance Items: Visuals of terminal catheter sets, cleaning agents, and related products, each accompanied by their respective weight data.




Disposal Components: Images of used solution bags, syringes, and other single-use items, separated into recyclable and non-recyclable components, with weights specified for each.



This image-based database provides a clear and comprehensive reference for the material breakdown and weight distribution of PD product components, essential for conducting a thorough LCA and identifying areas for environmental improvement.
DOI: 10.5281/zenodo.14258920
title: Product Images for Life Cycle Assessment Dataset For Peritoneal Dialysis and Haemodialysis in Modena

description: The database contains a collection of images showcasing the individual components of peritoneal dialysis (PD) products, along with their corresponding weights. These images serve as a visual record for life cycle assessment (LCA) purposes, focusing on the material composition and environmental impact of each product.





Patient Education Materials: Photographs of educational materials provided to patients, with accompanying data on the weight of the paper and packaging.




Catheters and Surgical Kits: Images display the disassembled components of PD catheters and surgical kits, including tubing, connectors, and packaging. Each image is annotated with the precise weight of the individual components.




Dialysis Solution Bags: The database includes images of both CAPD and APD solution bags, separated into their constituent parts (e.g., plastic bag, solution, and protective wrapping), with weights noted for each component.




Connection Devices and Consumables: Detailed images of connection devices, clamps, and other consumable items, with individual component weights clearly labeled.




Packaging and Transport Materials: Photographs of transport packaging, such as cardboard boxes and plastic wraps, alongside recorded weights for each element.




Maintenance Items: Visuals of terminal catheter sets, cleaning agents, and related products, each accompanied by their respective weight data.




Disposal Components: Images of used solution bags, syringes, and other single-use items, separated into recyclable and non-recyclable components, with weights specified for each.



This image-based database provides a clear and comprehensive reference for the material breakdown and weight distribution of PD product components, essential for conducting a thorough LCA and identifying areas for environmental improvement.
DOI: 10.15468/dl.kuvczf
title: Occurrence Download

description: A dataset containing 5467 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Historical Vertebrate Distributions in Bavaria 1845"
 ]
}

 The dataset includes 5467 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028145-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ea53nz
title: Occurrence Download

description: A dataset containing 1835 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 Chaenomeles speciosa (Sweet) Nakai"
 ]
}

 The dataset includes 1835 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028146-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.4a8dda
title: FAIRsharing record for: University of Twente Research Data Management Policy
title: UT RDM Policy

description: This FAIRsharing record describes:  The University of Twente Research Data Management Policy describes the requirements and guidance around RDM for the YbuverGood scientific practice is one of the main reasons to manage research data1during and archive the data after the project. It is important to keep available the raw, processed and/or analyzed data, as well as the documentation necessary for understanding the data and the way it was collected, processed and analyzed. This plays an important role in accountability issues, and allows the researcher to reuse his/her own data or to return to earlier stages of the research process when needed. As a result, research will be reproducible and verifiable. Proper research data management (RDM) makes science more transparent, and improves scientific integrity and societal trust.
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.0d760a
title: FAIRsharing record for: Wageningen University and Research Data Policy
title: WUR Data Policy

description: This FAIRsharing record describes:  The policy is based on leading principles in the area of research data stewardship, such as the FAIR principles, and on national frameworks such as the Netherlands Code of Conduct for Research Integrity. Research data are highly valuable output of our research and needs to be handled correctly and safely (i.e. research data management). It is only then that our research can be shared, verified and reused.
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.uwerhu
title: Occurrence Download

description: A dataset containing 20088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Capsicum annuum L."
 ]
}

 The dataset includes 20088 records from 403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028140-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ryjmd
title: Occurrence Download

description: A dataset containing 6461235 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données Oiseaux des Jardins"
 ]
}

 The dataset includes 6461235 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028121-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9umpsq
title: Occurrence Download

description: A dataset containing 13660 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 Cannabis sativa L."
 ]
}

 The dataset includes 13660 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028147-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byxk8v
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphrasia illyrica Wettst.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028148-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.3c8bdf
title: FAIRsharing record for: Leiden University Data Management Regulations 2021
title: null

description: This FAIRsharing record describes:  This document covers the RDM policy for Leiden University. Research data are a driving force behind academic research. Leiden University considers the careful handling of research data to be of great importance in increasing the reliability, quality, and reproducibility of research, as well as in promoting the reuse of research results. Research data management refers to the careful organisation and management of research data throughout the research cycle. This requires attention during all phases of research. These regulations are intended to provide a framework for a University-wide research data management policy, and require further elaboration at disciplinary level. Each Faculty Board must decide how to further elaborate upon these regulations within their faculty, and what role the institutes play in this process.
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.27999578
title: Projected spring dust emissions in China under future climate scenarios

description: ssp245 and ssp585 scenarios 2030, 2060, 2090 and spring average dust emissions in base scenarios 2020
DOI: 10.15468/dl.tah6gg
title: Occurrence Download

description: A dataset containing 141099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "DatasetKey is one of (alien_plant_ro, alien_plant_species_ro)",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 141099 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028124-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nxjrw
title: Occurrence Download

description: A dataset containing 4084425 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données STOC-EPS"
 ]
}

 The dataset includes 4084425 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028122-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.d57c9a
title: FAIRsharing record for: University of Amsterdam Research Data Management Policy
title: UvA RDM Policy

description: This FAIRsharing record describes:  The University of Amsterdam Research Data Management Policy contains the guidance and requirements around RDM at the university. Research data are at the heart of academic research and its contribution to society. As a result, the UvA believes strongly in Research Data Management (RDM). RDM concerns the organisation of research data, from its entry to the research cycle through to the dissemination and archiving of valuable results. The UvA subscribes to the FAIR data principles. In other words, research data must be Findable, Accessible, Interoperable and Re-usable.
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.