cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21954/ou.rd.30108928
title: Dataset Upskill Map

description: Database File Name:2025 METEOR transversal skills 40 researchers 25 Aug 2025 CCBYSADatabase Description:Reseachers' self-report perceptions reflecting about transversal skillsDatabase Citation:Okada A.(2025). Dataset upskill mapContact email:ale.okada@open.ac.ukDatabase URL:https://doi.org/10.21954/ou.rd.30108928Information:This database provides the views of 40 researchers who participated in UPSKILL studyhttps://ordo.open.ac.uk/projects/METEORDatabase Methodology used to generated dataQuestionnaire designSemi-structured questionnaire including a combination of open-ended and closed-ended questions.Platform used for a coded questionnaire with feedback and open badgeQualtrixMultilanguage supportTarget language (English)Questionnaire implementationLogic for sore, feedback and open badge implementedLanguage selectionQualtrics allows respondents to select their preferred language before starting the survey.Data generationThe questionnaire was distributed to the target audience researchers through OU post graduation schoolsData storageAs respondents submit their responses, Qualtrics stores the data securely in its database infrastructure. Each response is associated with the respondent's unique identifier and includes the language in which the survey was completed.Data analysisExploratory factorial analysis, descriptive analyses and thematic analysis to support mixed methodsExtra InformationCreator of the Instrument used to generate this database:Okada, A. Upskill map self-report instrumenthttps://www.meteorhorizon.euProject description:METEOR: Methodologies for Teamworking in Eco-Outwards ResearchFunder:European Commission (Grant No. 101178320)Questionnaire and database location:https://doi.org/10.21954/ou.rd.23566662Questionnaire citation:Okada A. (2025) UPSKILL. CCBYSAJournal Article using data presented in this database:https://oro.open.ac.uk/96439/Article Citation:Okada, A. et al.License:CCBYSAEthics Protocol:Approval:The methodology and instruments used in this study received approval from both global and local Ethics Committees, ensuring compliance with ethical standards and regulations.Consent Forms:Informed consent was obtained from all participants involved in the study. Teachers and respondents were provided with consent forms detailing the nature and purpose of the research, and they had the option to voluntarily participate. Additionally, parents were informed about the study by schools, and an opt-out approach was implemented, allowing them to decline their child's participation if desired.Voluntary Participation:Participation in the study was entirely voluntary, and participants had the option to withdraw at any stage without penalty or consequence.Confidentiality and Data Protection:Measures were implemented to ensure the confidentiality and privacy of participants' data. All information collected was treated with strict confidentiality and used only for research purposes.Ethics approval:OU HREC 2025-0889-4<br>
DOI: 10.21954/ou.rd.30108928.v2
title: Dataset Upskill Map

description: Database File Name:2025 METEOR transversal skills 40 researchers 25 Aug 2025 CCBYSADatabase Description:Reseachers' self-report perceptions reflecting about transversal skillsDatabase Citation:Okada A.(2025). Dataset upskill mapContact email:ale.okada@open.ac.ukDatabase URL:https://doi.org/10.21954/ou.rd.30108928Information:This database provides the views of 40 researchers who participated in UPSKILL studyhttps://ordo.open.ac.uk/projects/METEORDatabase Methodology used to generated dataQuestionnaire designSemi-structured questionnaire including a combination of open-ended and closed-ended questions.Platform used for a coded questionnaire with feedback and open badgeQualtrixMultilanguage supportTarget language (English)Questionnaire implementationLogic for sore, feedback and open badge implementedLanguage selectionQualtrics allows respondents to select their preferred language before starting the survey.Data generationThe questionnaire was distributed to the target audience researchers through OU post graduation schoolsData storageAs respondents submit their responses, Qualtrics stores the data securely in its database infrastructure. Each response is associated with the respondent's unique identifier and includes the language in which the survey was completed.Data analysisExploratory factorial analysis, descriptive analyses and thematic analysis to support mixed methodsExtra InformationCreator of the Instrument used to generate this database:Okada, A. Upskill map self-report instrumenthttps://www.meteorhorizon.euProject description:METEOR: Methodologies for Teamworking in Eco-Outwards ResearchFunder:European Commission (Grant No. 101178320)Questionnaire and database location:https://doi.org/10.21954/ou.rd.23566662Questionnaire citation:Okada A. (2025) UPSKILL. CCBYSAJournal Article using data presented in this database:https://oro.open.ac.uk/96439/Article Citation:Okada, A. et al.License:CCBYSAEthics Protocol:Approval:The methodology and instruments used in this study received approval from both global and local Ethics Committees, ensuring compliance with ethical standards and regulations.Consent Forms:Informed consent was obtained from all participants involved in the study. Teachers and respondents were provided with consent forms detailing the nature and purpose of the research, and they had the option to voluntarily participate. Additionally, parents were informed about the study by schools, and an opt-out approach was implemented, allowing them to decline their child's participation if desired.Voluntary Participation:Participation in the study was entirely voluntary, and participants had the option to withdraw at any stage without penalty or consequence.Confidentiality and Data Protection:Measures were implemented to ensure the confidentiality and privacy of participants' data. All information collected was treated with strict confidentiality and used only for research purposes.Ethics approval:OU HREC 2025-0889-4<br>
DOI: 10.21954/ou.rd.30108928.v1
title: Dataset Upskill Map

description: Database File Name:2025 METEOR transversal skills 40 researchers 25 Aug 2025 CCBYSADatabase Description:Reseachers' self-report perceptions reflecting about transversal skillsDatabase Citation:Okada A.(2025). Dataset upskill mapContact email:ale.okada@open.ac.ukDatabase URL:https://doi.org/10.21954/ou.rd.30108928Information:This database provides the views of 40 researchers who participated in UPSKILL studyhttps://ordo.open.ac.uk/projects/METEORDatabase Methodology used to generated dataQuestionnaire designSemi-structured questionnaire including a combination of open-ended and closed-ended questions.Platform used for a coded questionnaire with feedback and open badgeQualtrixMultilanguage supportTarget language (English)Questionnaire implementationLogic for sore, feedback and open badge implementedLanguage selectionQualtrics allows respondents to select their preferred language before starting the survey.Data generationThe questionnaire was distributed to the target audience researchers through OU post graduation schoolsData storageAs respondents submit their responses, Qualtrics stores the data securely in its database infrastructure. Each response is associated with the respondent's unique identifier and includes the language in which the survey was completed.Data analysisExploratory factorial analysis, descriptive analyses and thematic analysis to support mixed methodsExtra InformationCreator of the Instrument used to generate this database:Okada, A. Upskill map self-report instrumenthttps://www.meteorhorizon.euProject description:METEOR: Methodologies for Teamworking in Eco-Outwards ResearchFunder:European Commission (Grant No. 101178320)Questionnaire and database location:https://doi.org/10.21954/ou.rd.23566662Questionnaire citation:Okada A. (2025) UPSKILL. CCBYSAJournal Article using data presented in this database:https://oro.open.ac.uk/96439/Article Citation:Okada, A. et al.License:CCBYSAEthics Protocol:Approval:The methodology and instruments used in this study received approval from both global and local Ethics Committees, ensuring compliance with ethical standards and regulations.Consent Forms:Informed consent was obtained from all participants involved in the study. Teachers and respondents were provided with consent forms detailing the nature and purpose of the research, and they had the option to voluntarily participate. Additionally, parents were informed about the study by schools, and an opt-out approach was implemented, allowing them to decline their child's participation if desired.Voluntary Participation:Participation in the study was entirely voluntary, and participants had the option to withdraw at any stage without penalty or consequence.Confidentiality and Data Protection:Measures were implemented to ensure the confidentiality and privacy of participants' data. All information collected was treated with strict confidentiality and used only for research purposes.Ethics approval:OU HREC 2025-0889-4<br>
DOI: 10.26023/qjb3-hh03-qh0c
title: DC3: GOES-13 4km Channel 2 Near-IR Satellite Imagery. Version 1.0

description: This dataset contains the GOES-13 4km Channel 2 Near-IR satellite imagery for the DC3 project. The imagery are in JPEG format. The imagery cover the time span from 2012-05-01 00:00:00 to 2012-06-30 23:59:59.
DOI: 10.13120/snap.kehg-pe12
title: EUROFLEETS2-PREPARED: Present and past flow regime on contourite drifts west of Spitsbergen (2014)

description: The Eurofleets-2 PREPARED project and cruise was conducted during June 5–15,
2014 on board the Norwegian R/V G.O. Sars to investigate the present and past
oceanographic flow regime and patterns around two contourite drifts located in the
eastern side of the Fram Strait (south-western margin of Spitsbergen). To achieve the
main objective of the project, we plan to use a full range of time scaled measurements,
from instantaneous (CTD) and seasonal (moorings) oceanographic measurements, to
the recent (Box corer) and geologic (Calypso core) past records.
DOI: 10.6084/m9.figshare.30251944
title: Raw proteomic and metabolomic data

description: The development of new strategies for articular cartilage regeneration has been investigated, including the use of biomolecules secreted by mesenchymal stem cells (MSCs). We have developed a culture platform based on the use of specific bioreactors for the large-scale culture of from human dental pulp MSCs (hDPSCs) under chondrogenic stimuli. We have optimized secretome production based on known chondral markers (TGF-β1, SERPINE1, and the miRNAs miR-23a, miR-204, miR-211 and miR-337-5p) and have characterized its composition at the metabolomic and proteomic level. We have also studied the chondrogenic potential of the secretome using representative <i>in vitro</i> models. In this study, we developed an MSCs culture system that allows for the production of large volumes of secretome with controlled composition and chondrogenic induction potential. This is a preclinical study necessary for subsequent analysis of the secretome obtained using <i>in vivo</i> experimental models.
DOI: 10.6084/m9.figshare.30251944.v1
title: Raw proteomic and metabolomic data

description: The development of new strategies for articular cartilage regeneration has been investigated, including the use of biomolecules secreted by mesenchymal stem cells (MSCs). We have developed a culture platform based on the use of specific bioreactors for the large-scale culture of from human dental pulp MSCs (hDPSCs) under chondrogenic stimuli. We have optimized secretome production based on known chondral markers (TGF-β1, SERPINE1, and the miRNAs miR-23a, miR-204, miR-211 and miR-337-5p) and have characterized its composition at the metabolomic and proteomic level. We have also studied the chondrogenic potential of the secretome using representative <i>in vitro</i> models. In this study, we developed an MSCs culture system that allows for the production of large volumes of secretome with controlled composition and chondrogenic induction potential. This is a preclinical study necessary for subsequent analysis of the secretome obtained using <i>in vivo</i> experimental models.
DOI: 10.15468/dl.trwpxq
title: Occurrence Download

description: A dataset containing 2134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Natator depressus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2020",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)"
 ]
}

 The dataset includes 2134 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053480-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43ckgj
title: Occurrence Download

description: A dataset containing 3389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juniperus rigida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3389 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053481-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mutud4
title: Occurrence Download

description: A dataset containing 533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanella arbuscula",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2020",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)"
 ]
}

 The dataset includes 533 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053482-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e52k7d
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Leucoraja melitensis",
 "Geometry POLYGON((11.000000 35.500000, 13.000000 35.500000, 13.000000 38.000000, 11.000000 38.000000, 11.000000 35.500000))"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053483-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9e8ej
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moringa oleifera",
 "Country is Gabon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053484-250920141307145/datasets/export for details.
DOI: 10.15468/dl.c6f79e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moringa oleifera",
 "Country is Libya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053485-250920141307145/datasets/export for details.
DOI: 10.26023/d5zt-mqkj-1m0f
title: DC3: GOES-13 4km Channel 3 Water Vapor Satellite Imagery. Version 1.0

description: This dataset contains the GOES-13 4km channel 3 water vapor satellite imagery for the DC3 project. The imagery are in JPEG format. The imagery cover the time span from 2012-05-01 00:00:00 to 2012-06-30 23:59:59.
DOI: 10.15468/dl.ncyz63
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moringa oleifera",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053486-250920141307145/datasets/export for details.
DOI: 10.15468/dl.5u887j
title: Occurrence Download

description: A dataset containing 2134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Natator depressus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2020",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)"
 ]
}

 The dataset includes 2134 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053487-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wueng8
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Mustelus punctulatus",
 "Geometry POLYGON((11.000000 35.500000, 13.000000 35.500000, 13.000000 38.000000, 11.000000 38.000000, 11.000000 35.500000))"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053488-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7cb27
title: Occurrence Download

description: A dataset containing 6120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Larix gmelinii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6120 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053489-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtr6ch
title: Occurrence Download

description: A dataset containing 2134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Natator depressus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2020",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)"
 ]
}

 The dataset includes 2134 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053490-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sefq8h
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thalassometridae",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 452 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053491-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyyxjx
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Raja clavata",
 "Geometry POLYGON((11.000000 35.500000, 13.000000 35.500000, 13.000000 38.000000, 11.000000 38.000000, 11.000000 35.500000))"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053492-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/tvys7g
title: Replication data for: Trade policy coordination and food price volatility

description: Many countries adjust their trade policies counter-cyclically with food prices, to the extent that the use of restrictions by food-exporting countries has occasionally threatened the food security of food-importing countries. These trade policies are inconsistent with the terms-of-trade motivation often retained to characterize the payoff frontier of self-enforcing trade agreements, as they can worsen the terms of trade of the countries that apply them. This article analyzes trade policy coordination when trade policies are driven by terms-of-trade effects and a desire to reduce domestic food price volatility. This framework implies that importing and exporting countries have incentives to deviate from cooperation at different periods: the latter when prices are high and the former when prices are low. Since staple food prices tend to have asymmetric distributions, with more prices below than above the mean but with occasional spikes, a self-enforcing agreement generates asymmetric outcomes. Without cooperation, an importing country uses its trade policy more frequently because of the concentration of prices below the mean, but an exporting country has a greater incentive to deviate from a cooperative trade policy because positive deviations from the mean price are larger than negative ones. Thus, the asymmetry of the distribution of commodity prices can make it more difficult to discipline export taxes than tariffs in trade agreements.
DOI: 10.26023/c08b-xg7e-9a09
title: DC3: GOES-13 4km Channel 4 Thermal-IR Satellite Imagery. Version 1.0

description: This dataset contains the GOES-13 4km channel 4 thermal-IR satellite imagery for the DC3 project. The imagery are in JPEG format. The imagery cover the time span from 2012-05-01 00:00:00 to 2012-06-30 23:59:59.
DOI: 10.15468/dl.skez4c
title: Occurrence Download

description: A dataset containing 6519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Natator depressus"
 ]
}

 The dataset includes 6519 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053493-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zgtg3
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Torpedo marmorata",
 "Geometry POLYGON((11.000000 35.500000, 13.000000 35.500000, 13.000000 38.000000, 11.000000 38.000000, 11.000000 35.500000))"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053494-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wa6yqs
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Accipiter nisus granti)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 173 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053495-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.