cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.2908/tps00200
title: Projected old-age dependency ratio
title: Rapport projeté de dépendance des personnes âgées
title: Vorausgeschätzter Alterslastenquote

description: Dieser Indikator ist das Verhältnis zwischen der voraussichtlichen Zahl der Personen im Alter von 65 Jahren und älter (Alter, in dem man im allgemeinen wirtschaftlich inaktiv ist) und der voraussichtlichen Zahl aller Personen zwischen 15 und 64 Jahren. Der Wert wird je 100 Personen im erwerbsfähigen Alter (15-64) dargestellt.
description: This indicator is the ratio between the projected number of persons aged 65 and over (age when they are generally economically inactive) and the projected number of persons aged between 15 and 64. The value is expressed per 100 persons of working age (15-64).
description: Cet indicateur est le rapport entre le nombre projeté de personnes âgées de 65 ans et plus (âge où elles sont généralement économiquement inactives) et le nombre projeté de personnes de 15 à 64 ans. La valeur est exprimée pour 100 personnes en âge de travailler (15-64 ans).
DOI: 10.5878/08wr-aq41
title: A Randomized Control Trial (RCT) on the Adoption of Liquefied Petroleum Gas (LPG) Cooking Technology among Fast Food (Chapati) Vendors in Uganda
title: A Randomized Control Trial (RCT) on the Adoption of Liquefied Petroleum Gas (LPG) Cooking Technology among Fast Food (Chapati) Vendors in Uganda
title: Adoption of Liquefied Petroleum Gas (LPG) Cooking Technology among Chapati Vendors in Uganda

description: A Randomized Controlled Trial to test the impact of hire purchase and learning schemes on adoption of LPG by chapati Vendors in Kampala, Uganda. The RCT was conducted in three divisions of Kampala: Kawempe division, Makindye division and Rubaga division. The experiment involved 5 surveys, the baseline survey, intervention, first follow-up, second follow-up and endline survey.
description: A Randomized Controlled Trial to test the impact of hire purchase and learning schemes on adoption of LPG by chapati Vendors in Kampala, Uganda. The RCT was conducted in three divisions of Kampala: Kawempe division, Makindye division and Rubaga division. The experiment involved 5 surveys, the baseline survey, intervention, first follow-up, second follow-up and endline survey.
DOI: 10.5878/fqa5-p302
title: A Randomized Control Trial (RCT) on the Adoption of Liquefied Petroleum Gas (LPG) Cooking Technology among Fast Food (Chapati) Vendors in Uganda
title: A Randomized Control Trial (RCT) on the Adoption of Liquefied Petroleum Gas (LPG) Cooking Technology among Fast Food (Chapati) Vendors in Uganda
title: Adoption of Liquefied Petroleum Gas (LPG) Cooking Technology among Chapati Vendors in Uganda

description: A Randomized Controlled Trial to test the impact of hire purchase and learning schemes on adoption of LPG by chapati Vendors in Kampala, Uganda. The RCT was conducted in three divisions of Kampala: Kawempe division, Makindye division and Rubaga division. The experiment involved 5 surveys, the baseline survey, intervention, first follow-up, second follow-up and endline survey.
description: A Randomized Controlled Trial to test the impact of hire purchase and learning schemes on adoption of LPG by chapati Vendors in Kampala, Uganda. The RCT was conducted in three divisions of Kampala: Kawempe division, Makindye division and Rubaga division. The experiment involved 5 surveys, the baseline survey, intervention, first follow-up, second follow-up and endline survey.
DOI: 10.15468/dl.b6kuxs
title: Occurrence Download

description: A dataset containing 4663322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material citation, Specimen, Occurrence evidence)",
 "GadmGid is USA.5_1"
 ]
}

 The dataset includes 4663322 records from 1277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021448-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2kffs
title: Occurrence Download

description: A dataset containing 1384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Country is South Africa",
 "TaxonKey is Leucosidea sericea",
 "Year 2013-2025"
 ]
}

 The dataset includes 1384 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050027-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5enqn
title: Occurrence Download

description: A dataset containing 751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ClassKey is Squamata",
 "DecimalLatitude is -27.5834024103131,-26.8290967530513",
 "DecimalLongitude is 30.0087371586102,30.9245216205715"
 ]
}

 The dataset includes 751 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050028-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21954/ou.rd.29994397
title: REDEFINE (UK): Interview with the former ABP management representative P22 (1st)

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised interview transcript presents a semi-structured interview conducted with the former ABP management representative P22 (1<sup>st</sup>). The conversation contributes to REDEFINE’s case study of ABP’s investment in Royal Albert Dock. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.29994397.v1
title: REDEFINE (UK): Interview with the former ABP management representative P22 (1st)

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised interview transcript presents a semi-structured interview conducted with the former ABP management representative P22 (1<sup>st</sup>). The conversation contributes to REDEFINE’s case study of ABP’s investment in Royal Albert Dock. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.57967/hf/6245
title: The-Triune-Glyph
DOI: 10.57967/hf/6364
title: The-Triune-Glyph
DOI: 10.15468/dl.xxpsrm
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ClassKey is Testudines",
 "DecimalLatitude is -27.5834024103131,-26.8290967530513",
 "DecimalLongitude is 30.0087371586102,30.9245216205715"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050029-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21954/ou.rd.29994292
title: REDEFINE (UK): Interview with the Programme Director P21 of the Royal Docks team (1st)

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised interview transcript presents a semi-structured interview conducted with the Programme Director P21 of the Royal Docks team (1<sup>st</sup>). The conversation contributes to REDEFINE’s case study of ABP’s investment in Royal Albert Dock. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.29994292.v1
title: REDEFINE (UK): Interview with the Programme Director P21 of the Royal Docks team (1st)

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised interview transcript presents a semi-structured interview conducted with the Programme Director P21 of the Royal Docks team (1<sup>st</sup>). The conversation contributes to REDEFINE’s case study of ABP’s investment in Royal Albert Dock. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.5285/fe998c05ca854715b48bac53dc0e9998
title: Daily Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.0.0

description: The Central England Temperature (HadCET) daily series start in 1772 for mean temperature and 1878 for minimum and maximum temperature.
 
These historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).
 
Prior to 1973, the daily mean temperature series is anchored to the mean temperature series constructed by Gordon Manley, with the daily minimum and maximum temperature series adjusted to the mean temperature series to ensure values are consistent.
 
Although the station selection has changed through time, the series is homogenised and adjusted to ensure consistency with Manley's selection and for periods when only a single station value was used.
 
Stations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick
 
Stations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College
 
The current station selection used is Rothamsted, Stonyhurst and Pershore College.
 
For more information on the change in station selection, please refer to the papers supplied with the data collection.
 
The dataset is compiled by the Met Office Hadley Centre.

Latest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).

The version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.

The CET datasets employ the following version control protocol: 

Version Vx.y.z.a:
• x – major changes – e.g. change in scientific methodology
• y – minor changes – e.g. small bug fixes or updates to diagnostics pages
• z – incremental changes
• a – reserved for use internally

The standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial
changes have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).

This new version of the datasets supersedes the previous version.
DOI: 10.15468/dl.3yfhcv
title: Occurrence Download

description: A dataset containing 1338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis mossambicus (Peters, 1852)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 1338 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022119-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14936020
title: Soil health knowledge graph

description: This repository hosts an open-source soil health knowledge graph (KG) alongside its supporting ontologies. The KG is designed to unify fragmented interpretations of soil health—a concept variably defined across research, policymaking, and agriculture—by structuring insights from the European Environment Agency’s 2023 report Soil Monitoring in Europe: Indicators and Thresholds for Soil Health Assessments. The KG leverages SKOS (Simple Knowledge Organization System) as its core framework to model soil health concepts, soil threat indicators and their critical thresholds, while Dublin Core standardizes metadata for references in the report. Relationships between entities are semantically defined using existing ontologies like Agrontology and OBO Relation Ontology. The KG is linked to external vocabularies such as AGROVOC and ISO 11074 (soil quality standard).

The soil health knowlegde graph is documented with a HTML page generated with the Widoco tool. This page can be accessed at https://soilwise-he.github.io/soil-health/. The SPARQL endpoint: https://sparql.soilwise-he.containers.wur.nl/sparql/
DOI: 10.5281/zenodo.15424305
title: Soil health knowledge graph

description: This repository hosts an open-source soil health knowledge graph (KG) alongside its supporting ontologies and example SPARQL queries. The KG is designed to unify fragmented interpretations of soil health—a concept variably defined across research, policymaking, and agriculture—by structuring insights mainly from the European Environment Agency’s report Soil Monitoring in Europe: Indicators and Thresholds for Soil Health Assessments. The KG leverages SKOS (Simple Knowledge Organization System) as its core framework to model soil health concepts, soil threat indicators and their critical thresholds, while Dublin Core standardizes metadata for references in the report. Relationships between entities are semantically defined using existing ontologies like Agrontology and OBO Relation Ontology. The KG is linked to external vocabularies such as AGROVOC, GloSIS and ISO 11074 (soil quality standard).

The soil health knowlegde graph is documented with a HTML page generated with the Widoco tool. This page can be accessed at https://soilwise-he.github.io/soil-health. The SPARQL endpoint: https://repository.soilwise-he.eu/sparql.
DOI: 10.5281/zenodo.15440570
title: Soil health knowledge graph

description: This repository hosts an open-source soil health knowledge graph (KG) alongside its supporting ontologies and example SPARQL queries. The KG is designed to unify fragmented interpretations of soil health—a concept variably defined across research, policymaking, and agricultural practice—by structuring insights mainly from the European Environment Agency’s report Soil Monitoring in Europe: Indicators and Thresholds for Soil Health Assessments. The KG leverages SKOS (Simple Knowledge Organization System) as its core framework to model soil health concepts, soil threat indicators and their critical thresholds, while Dublin Core standardizes metadata for references in the report. Relationships between entities are semantically defined using existing ontologies like Agrontology and OBO Relation Ontology. The KG is linked to external vocabularies such as AGROVOC, GloSIS and ISO 11074 (soil quality standard).

The soil health KG comprises a total of 10605 RDF triples. These triples describe 2024 distinct entities. The majority of these entities (1792) represent soil-related concepts extracted from the knowledge sources. The remaining entities include 158 bibliographic references cited in the source text, along with other supportive entities such as relevant policies, standards, regulations, geographical regions (e.g., cities, continents), and mathematical or quantitative entities (including models, equations, and units of measure). Structurally, the KG leverages 20 classes and 205 properties drawn from the selected ontologies to formally define the types of entities and the relationships between them.

The soil health KG is documented with a HTML page, which can be accessed at https://soilwise-he.github.io/soil-health. The SPARQL endpoint: https://repository.soilwise-he.eu/sparql/.
DOI: 10.5281/zenodo.15593868
title: Soil health knowledge graph

description: This repository hosts an open-source soil health knowledge graph (KG) alongside its supporting ontologies and example SPARQL queries. The KG is designed to unify fragmented interpretations of soil health—a concept variably defined across research, policymaking, and agricultural practice—by structuring insights mainly from the European Environment Agency’s report Soil Monitoring in Europe: Indicators and Thresholds for Soil Health Assessments. The KG leverages SKOS (Simple Knowledge Organization System) as its core framework to model soil health concepts, soil threat indicators and their critical thresholds, while Dublin Core standardizes metadata for references in the report. Relationships between entities are semantically defined using existing ontologies such as Agrontology and OBO Relation Ontology. The KG is linked to external vocabularies including AGROVOC, GloSIS, ISO 11074 (soil quality standard), GEMET and INRAE Thesaurus.



The soil health KG comprises a total of 10996 RDF triples. These triples describe 2023 distinct entities. The majority of these entities (1791) represent soil-related concepts extracted from the knowledge sources. The remaining entities include 158 bibliographic references cited in the source text, along with other supportive entities such as relevant policies, standards, regulations, geographical regions (e.g., cities, continents), and mathematical or quantitative entities (including models, equations, and units of measure). Structurally, the KG leverages 20 classes and 205 properties drawn from the selected ontologies to formally define the types of entities and the relationships between them.


The soil health KG is documented with a HTML page, which can be accessed at https://soilwise-he.github.io/soil-health. The SPARQL endpoint: https://repository.soilwise-he.eu/sparql/.
DOI: 10.15468/dl.dyh5gg
title: Occurrence Download

description: A dataset containing 19816204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material sample",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bacteria"
 ]
}

 The dataset includes 19816204 records from 754 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021954-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2u6zj
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Month is one of (June, March, May, April, August)",
 "TaxonKey is Myotis volans (H.Allen, 1866)",
 "Year 1893-2002"
 ]
}

 The dataset includes 196 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021523-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/18015971
title: Moment Tensor for June 16, 2019 MW 5.1 (GCMT) GUERRERO, MEXICO
DOI: 10.14272/rjtkorpbmktjhi-uhfffaoysa-n/chmo0001150
title: 1H--1H correlation spectroscopy (1H-1H COSY) ()
title: InChI=1S/C59H88N2O2S3/c1-5-9-13-17-21-25-31-44(32-26-22-18-14-10-6-2)43-60-50-41-52(45-33-29-37-48(62)39-45)64-56(50)58-54(60)55-59(66-58)57-51(42-53(65-57)46-34-30-38-49(63)40-46)61(55)47(35-27-23-19-15-11-7-3)36-28-24-20-16-12-8-4/h39-42,44,47H,5-38,43H2,1-4H3

description: dataset for 1H--1H correlation spectroscopy (1H-1H COSY)
DOI: 10.17611/dp/18015977
title: Moment Tensor for June 16, 2019 MW 5.0 (GCMT) SUMBA REGION, INDONESIA
DOI: 10.14272/rjtkorpbmktjhi-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C59H88N2O2S3/c1-5-9-13-17-21-25-31-44(32-26-22-18-14-10-6-2)43-60-50-41-52(45-33-29-37-48(62)39-45)64-56(50)58-54(60)55-59(66-58)57-51(42-53(65-57)46-34-30-38-49(63)40-46)61(55)47(35-27-23-19-15-11-7-3)36-28-24-20-16-12-8-4/h39-42,44,47H,5-38,43H2,1-4H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/rjtkorpbmktjhi-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C59H88N2O2S3/c1-5-9-13-17-21-25-31-44(32-26-22-18-14-10-6-2)43-60-50-41-52(45-33-29-37-48(62)39-45)64-56(50)58-54(60)55-59(66-58)57-51(42-53(65-57)46-34-30-38-49(63)40-46)61(55)47(35-27-23-19-15-11-7-3)36-28-24-20-16-12-8-4/h39-42,44,47H,5-38,43H2,1-4H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.17611/dp/18015983
title: Moment Tensor for June 16, 2019 MW 5.0 (GCMT) KERMADEC ISLANDS REGION
DOI: 10.17611/dp/18015989
title: Moment Tensor for June 16, 2019 MW 5.0 (GCMT) KERMADEC ISLANDS REGION
DOI: 10.14272/rjtkorpbmktjhi-uhfffaoysa-n/chmo0001148
title: 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) ()
title: InChI=1S/C59H88N2O2S3/c1-5-9-13-17-21-25-31-44(32-26-22-18-14-10-6-2)43-60-50-41-52(45-33-29-37-48(62)39-45)64-56(50)58-54(60)55-59(66-58)57-51(42-53(65-57)46-34-30-38-49(63)40-46)61(55)47(35-27-23-19-15-11-7-3)36-28-24-20-16-12-8-4/h39-42,44,47H,5-38,43H2,1-4H3

description: dataset for 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
DOI: 10.17611/dp/18015995
title: Moment Tensor for June 16, 2019 MW 5.1 (GCMT) JUJUY PROVINCE, ARGENTINA
DOI: 10.14272/rjtkorpbmktjhi-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) ()
title: InChI=1S/C59H88N2O2S3/c1-5-9-13-17-21-25-31-44(32-26-22-18-14-10-6-2)43-60-50-41-52(45-33-29-37-48(62)39-45)64-56(50)58-54(60)55-59(66-58)57-51(42-53(65-57)46-34-30-38-49(63)40-46)61(55)47(35-27-23-19-15-11-7-3)36-28-24-20-16-12-8-4/h39-42,44,47H,5-38,43H2,1-4H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)