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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Centrosema molle Benth.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022158-220831081235567/datasets/export for details.
DOI: 10.15468/dl.n6jwpx
title: Occurrence Download

description: A dataset containing 47097 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Bursera Jacq. ex L."
 ]
}

 The dataset includes 47097 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018672-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzr7s8
title: Occurrence Download

description: A dataset containing 2274979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinus mugo Turra, Vaccinium oxycoccos L., Vaccinium uliginosum L., Carex ornithopoda Willd., Epipactis atrorubens (Hoffm.) Besser, Verbascum phlomoides L., Juncus inflexus L., Mentha longifolia (L.) L., Leontodon hispidus L., Reseda alba L., Clinopodium menthifolium (Host) Merino, Euphorbia verrucosa L., Valeriana officinalis L., Dactylorhiza maculata (L.) Soó, Carex pairae F.W.Schultz, Chaerophyllum aureum L., Genista sagittalis L., Digitalis lutea L., Scrophularia alpestris Gay ex Benth., Scilla lilio-hyacinthus L., Saxifraga hirsuta L., Cardamine heptaphylla (L.) O.E.Schulz, Rosa arvensis Huds., Dryopteris pseudomas (Woll.) Holub & Pouzar, Daphne laureola L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Geometry POLYGON((-11 34, 41 34, 41 72, -11 72, -11 34))",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 2274979 records from 2662 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000733-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26888569.v2
title: <b>Global environmental factors impact the evolution of adult hemoglobins in</b><b> squamata reptiles (lizards and snakes) and terrestrial turtles</b>

description: <b>Global environmental factors impact the evolution of adult hemoglobins in</b><b> squamata reptiles (lizards and snakes) and terrestrial turtles</b>: Supplementary Materials
DOI: 10.6084/m9.figshare.26888569
title: <b>Global environmental factors impact the evolution of adult hemoglobins in</b><b> squamata reptiles (lizards and snakes) and terrestrial turtles</b>

description: <b>Global environmental factors impact the evolution of adult hemoglobins in</b><b> squamata reptiles (lizards and snakes) and terrestrial turtles</b>: Supplementary Materials
DOI: 10.6084/m9.figshare.26888569.v1
title: <b>Environmental factors influencing the evolution of adult hemoglobins in land reptiles</b>

description: <b>Environmental factors influencing the evolution of adult hemoglobins in land reptiles</b>: Supplementary Materials
DOI: 10.15468/dl.94ys8k
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micropterus dolomieu",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004767-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/924prb3v62
title: Dataset for "Controlling the thermal and photochemical reactivity of the Uranyl ion"

description: All datafiles pertaining to the thesis "Controlling the thermal and photochemical reactivity of the Uranyl ion" published by Jamie Purkis at the University of Edinburgh.
For more information please get in touch
DOI: 10.17632/924prb3v62.1
title: Dataset for "Controlling the thermal and photochemical reactivity of the Uranyl ion"

description: All datafiles pertaining to the thesis "Controlling the thermal and photochemical reactivity of the Uranyl ion" published by Jamie Purkis at the University of Edinburgh.
For more information please get in touch
DOI: 10.17632/kxgvy6yn66
title: Np(V) double carbonate with magnesium: synthesis, solubility and transformation

description: Materials for the article "Np(V) double carbonate with magnesium: synthesis, solubility and transformation".
The data provided includes:
1) XRD data for Np(V) double carbonates with sodium, magnesium and potassium.
2) Solubility data for Np(V) double carbonate with magnesium in 0.01 M and 0.05 M NaClO4 solution with kinetic changes in Np, Mg and K concentration.
3) Solubility data for Np(V) double carbonate with potassium in 0.01 M KHCO3/K2CO3 solutions with kinetic changes in Np and K concentrations.
DOI: 10.17632/kxgvy6yn66.2
title: Np(V) double carbonate with magnesium: synthesis, solubility and transformation

description: Materials for the article "Np(V) double carbonate with magnesium: synthesis, solubility and transformation".
The data provided includes:
1) XRD data for Np(V) double carbonates with sodium, magnesium and potassium.
2) Solubility data for Np(V) double carbonate with magnesium in 0.01 M and 0.05 M NaClO4 solution with kinetic changes in Np, Mg and K concentration.
3) Solubility data for Np(V) double carbonate with potassium in 0.01 M KHCO3/K2CO3 solutions with kinetic changes in Np and K concentrations.
DOI: 10.17632/n8s3z7ny6x
title: Vacunación materna vs inmunización postnatal en la prevención del VSR en recién nacidos: revisión sistemática

description: Este estudio compara la efectividad de la vacunación materna durante el embarazo frente a la inmunización postnatal con anticuerpos monoclonales (nirsevimab) en la prevención de infecciones respiratorias graves por virus sincitial respiratorio (VSR) en recién nacidos. Se realizó una revisión sistemática de la literatura científica publicada en los últimos cinco años. Los hallazgos indican que ambas estrategias disminuyen de manera significativa las hospitalizaciones y los casos graves, con una eficacia reportada entre 70 % y 82 %. Se concluye que la vacunación materna confiere inmunidad inmediata al recién nacido, mientras que la inmunización postnatal ofrece una protección más prolongada a lo largo de la temporada epidémica.
La vacunación materna con RSVpreF redujo enfermedad grave por VSR en un 82 % en los primeros 3 meses y 69 % hasta los 6 meses.
La inmunización postnatal con nirsevimab disminuyó hospitalizaciones en un 78–83 %, ingresos a UCI en 74 % y necesidad de soporte ventilatorio en 66 %.
Ambos métodos son seguros, con predominio de eventos adversos leves y transitorios.
El análisis de sesgo mostró calidad metodológica moderada a alta, con bajo riesgo en la mayoría de los dominios.
Intervención
Resultado Evaluado
RR / HR
IC 95%
Eficacia estimada (%)
Interpretación Clínica
Nirsevimab
Infección con atención médica
RR = 0.26
0.19–0.34
74.5%
Protección alta y consistente


Hospitalización por VSR
RR = 0.22
0.13–0.35
77.3%
Reducción significativa


Atención médica por IRVB (LRTI)
RR = 0.21
No especificado
79.5%
Excelente protección


Ingreso a UCI
RR = 0.14
No especificado
86.0%
Protección muy alta


Uso de oxígeno suplementario
RR = 0.15
No especificado
86.9%
Muy efectiva en casos severos


Eventos adversos graves
RR ~1.0
No significativo
—
Reacciones locales leves (1.2%)
Vacuna materna RSVpreF
Hospitalización por bronquiolitis
RR = 0.50
No especificado
50%
Protección intermedia


Hospitalización por VSR
RR = 0.43
No especificado
56.8%
Protección moderada


Enfermedad respiratoria atendida médicamente
RR = 0.49
No especificado
51.3%
Reducción importante


Enfermedad grave (0–90 días)
RR = 0.18
0.037–0.594
81.8%
Alta eficacia en etapa neonatal


IRAB (hospitalización)
RR = 0.57
0.31–0.82
42.9%
Efectividad moderada


Trastornos hipertensivos (embarazo)
HR = 1.43
1.16–1.77
—
Riesgo aumentado; se recomienda vigilancia


Parto prematuro
RR = 1.16
0.99–1.36
—
No significativo, pero con tendencia al alza


Anomalías congénitas
RR = 0.96
0.88–1.04
—
No se asocia a mayor riesgo


Restricción del crecimiento fetal
RR = 1.32
0.75–2.33
—
No concluyente (amplio IC)
Estrategia combinada
Mortalidad infantil por VSR
RR ~0.15–0.24
No especificado
76–85%
Alta sinergia en reducción de mortalidad
DOI: 10.17632/n8s3z7ny6x.1
title: Vacunación materna vs inmunización postnatal en la prevención del VSR en recién nacidos: revisión sistemática

description: Este estudio compara la efectividad de la vacunación materna durante el embarazo frente a la inmunización postnatal con anticuerpos monoclonales (nirsevimab) en la prevención de infecciones respiratorias graves por virus sincitial respiratorio (VSR) en recién nacidos. Se realizó una revisión sistemática de la literatura científica publicada en los últimos cinco años. Los hallazgos indican que ambas estrategias disminuyen de manera significativa las hospitalizaciones y los casos graves, con una eficacia reportada entre 70 % y 82 %. Se concluye que la vacunación materna confiere inmunidad inmediata al recién nacido, mientras que la inmunización postnatal ofrece una protección más prolongada a lo largo de la temporada epidémica.
La vacunación materna con RSVpreF redujo enfermedad grave por VSR en un 82 % en los primeros 3 meses y 69 % hasta los 6 meses.
La inmunización postnatal con nirsevimab disminuyó hospitalizaciones en un 78–83 %, ingresos a UCI en 74 % y necesidad de soporte ventilatorio en 66 %.
Ambos métodos son seguros, con predominio de eventos adversos leves y transitorios.
El análisis de sesgo mostró calidad metodológica moderada a alta, con bajo riesgo en la mayoría de los dominios.
Intervención
Resultado Evaluado
RR / HR
IC 95%
Eficacia estimada (%)
Interpretación Clínica
Nirsevimab
Infección con atención médica
RR = 0.26
0.19–0.34
74.5%
Protección alta y consistente


Hospitalización por VSR
RR = 0.22
0.13–0.35
77.3%
Reducción significativa


Atención médica por IRVB (LRTI)
RR = 0.21
No especificado
79.5%
Excelente protección


Ingreso a UCI
RR = 0.14
No especificado
86.0%
Protección muy alta


Uso de oxígeno suplementario
RR = 0.15
No especificado
86.9%
Muy efectiva en casos severos


Eventos adversos graves
RR ~1.0
No significativo
—
Reacciones locales leves (1.2%)
Vacuna materna RSVpreF
Hospitalización por bronquiolitis
RR = 0.50
No especificado
50%
Protección intermedia


Hospitalización por VSR
RR = 0.43
No especificado
56.8%
Protección moderada


Enfermedad respiratoria atendida médicamente
RR = 0.49
No especificado
51.3%
Reducción importante


Enfermedad grave (0–90 días)
RR = 0.18
0.037–0.594
81.8%
Alta eficacia en etapa neonatal


IRAB (hospitalización)
RR = 0.57
0.31–0.82
42.9%
Efectividad moderada


Trastornos hipertensivos (embarazo)
HR = 1.43
1.16–1.77
—
Riesgo aumentado; se recomienda vigilancia


Parto prematuro
RR = 1.16
0.99–1.36
—
No significativo, pero con tendencia al alza


Anomalías congénitas
RR = 0.96
0.88–1.04
—
No se asocia a mayor riesgo


Restricción del crecimiento fetal
RR = 1.32
0.75–2.33
—
No concluyente (amplio IC)
Estrategia combinada
Mortalidad infantil por VSR
RR ~0.15–0.24
No especificado
76–85%
Alta sinergia en reducción de mortalidad
DOI: 10.6084/m9.figshare.11310269
title: Harmonised global datasets of wind and solar farm locations and power

description: The methodology to produce these data is described in the accompanying paper:Dunnett, S., Sorichetta, A., Taylor, G. <i>et al</i>. Harmonised global datasets of wind and solar farm locations and power. <i>Sci Data</i> <b>7</b>, 130 (2020). https://doi.org/10.1038/s41597-020-0469-8Abstract<i>Energy systems need decarbonisation in order to limit global warming to within safe limits. While global land planners are promising more of the planet’s limited space to wind and solar photovoltaic, there is little information on where current infrastructure is located. The majority of recent studies use land suitability for wind and solar, coupled with technical and socioeconomic constraints, as a proxy for actual location data. Here, we address this shortcoming. Using readily accessible OpenStreetMap data we present, to our knowledge, the first global, open-access, harmonised spatial datasets of wind and solar installations. We also include user friendly code for enabling users to easily create newer versions of the dataset. Finally, we include first order estimates of power capacities of installations. We anticipate this data will be of widespread interest within global studies of the future potential and trade-offs associated with the global decarbonisation of energy systems.</i>Data overviewThe datasets represent three different formats of the following data in WGS 1984 and Eckert IV projections:Global wind turbines in April 2020 clustered using a neighbourhood distance of 800mGlobal solar installations in April 2020 clustered using a neighbourhood distance of 400mThe formats comprise:ESRI geodatabase (<i>*.gdb</i>): proprietary geospatial file format for use with ArcGIS that contains two layers in the same file, one for solar and one for wind;Geopackages (<i>*.gpkg</i>): open source geospatial file format that can work with a variety of software and can store different geometries natively;Comma-delimited files (<i>*.csv</i>): the simplest format, these files represent the centroid of each data record, <i>i.e.</i> point data, as X and Y coordinates in a data table.Also included is an archive folder, <i>analysis</i>, that contains four R scripts and accompanying data used for acquiring and processing the data.Sharing and accessData adapted or built on OpenStreetMap data are required to be distributed under the same licence. These data are therefore made available under the Open Data Commons Open Database License (ODbL). Personal <i>figshare</i> accounts cannot currently present data under this licence so the data are currently (incorrectly) presented under a CC0 licence as a stopgap until this changes. More information on OpenStreetMap data and use of data can be found here.The data should be cited as follows:Dunnett, S. Harmonised global datasets of wind and solar farm locations and power. <i>figshare</i>. Dataset. https://doi.org/10.6084/m9.figshare.11310269 (2020)
DOI: 10.17632/tndgyngb75
title: Scientometric Data on Scientific Production about Jenipapo, 2000–2025

description: This dataset provides a comprehensive scientometric analysis of research on jenipapo (Genipa americana) published between 2000 and 2025. It includes bibliometric indicators such as annual publication counts, citation metrics, authorship patterns, institutional affiliations, journal distribution, keyword co-occurrence, and collaboration networks. The dataset highlights research trends in chemistry, food technology, bioactive compounds, agro-industrial residues, and resource reutilization.

The dataset contains the following files:

scrip.txt: R script used in RStudio for data processing, cleaning, and analysis.

Wos.txt: Raw data retrieved from Web of Science.

dadosbiblio-limpo-csv.csv: Data obtained from Scopus and refined using OpenRefine.

dadosbibliosel.csv: Main dataset merging bibliometric information in RStudio, including authors, papers, DOIs, and publication years.

main information about data.txt: Results from RStudio using Bibliometrix, summarizing key bibliometric indicators and analyses.

Data were collected from Scopus and Web of Science using standardized search terms for “jenipapo” and related synonyms. Data cleaning and refinement were performed with OpenRefine and R scripts. Bibliometric analyses, including network construction, keyword co-occurrence, and trend mapping, were conducted in RStudio using Bibliometrix and BiblioShiny, with additional visualizations generated in VOSviewer.

This dataset can be used for scientometric analyses, meta-research, and mapping trends in chemistry, food technology, bioactive compounds, agro-industrial residues, and resource reutilization related to jenipapo. Users are encouraged to cite this dataset using the provided DOI.
DOI: 10.17632/tndgyngb75.1
title: Scientometric Data on Scientific Production about Jenipapo, 2000–2025

description: This dataset provides a comprehensive scientometric analysis of research on jenipapo (Genipa americana) published between 2000 and 2025. It includes bibliometric indicators such as annual publication counts, citation metrics, authorship patterns, institutional affiliations, journal distribution, keyword co-occurrence, and collaboration networks. The dataset highlights research trends in chemistry, food technology, bioactive compounds, agro-industrial residues, and resource reutilization.

The dataset contains the following files:

scrip.txt: R script used in RStudio for data processing, cleaning, and analysis.

Wos.txt: Raw data retrieved from Web of Science.

dadosbiblio-limpo-csv.csv: Data obtained from Scopus and refined using OpenRefine.

dadosbibliosel.csv: Main dataset merging bibliometric information in RStudio, including authors, papers, DOIs, and publication years.

main information about data.txt: Results from RStudio using Bibliometrix, summarizing key bibliometric indicators and analyses.

Data were collected from Scopus and Web of Science using standardized search terms for “jenipapo” and related synonyms. Data cleaning and refinement were performed with OpenRefine and R scripts. Bibliometric analyses, including network construction, keyword co-occurrence, and trend mapping, were conducted in RStudio using Bibliometrix and BiblioShiny, with additional visualizations generated in VOSviewer.

This dataset can be used for scientometric analyses, meta-research, and mapping trends in chemistry, food technology, bioactive compounds, agro-industrial residues, and resource reutilization related to jenipapo. Users are encouraged to cite this dataset using the provided DOI.
DOI: 10.6084/m9.figshare.11310269.v6
title: Harmonised global datasets of wind and solar farm locations and power

description: The methodology to produce these data is described in the accompanying paper:Dunnett, S., Sorichetta, A., Taylor, G. <i>et al</i>. Harmonised global datasets of wind and solar farm locations and power. <i>Sci Data</i> <b>7</b>, 130 (2020). https://doi.org/10.1038/s41597-020-0469-8Abstract<i>Energy systems need decarbonisation in order to limit global warming to within safe limits. While global land planners are promising more of the planet’s limited space to wind and solar photovoltaic, there is little information on where current infrastructure is located. The majority of recent studies use land suitability for wind and solar, coupled with technical and socioeconomic constraints, as a proxy for actual location data. Here, we address this shortcoming. Using readily accessible OpenStreetMap data we present, to our knowledge, the first global, open-access, harmonised spatial datasets of wind and solar installations. We also include user friendly code for enabling users to easily create newer versions of the dataset. Finally, we include first order estimates of power capacities of installations. We anticipate this data will be of widespread interest within global studies of the future potential and trade-offs associated with the global decarbonisation of energy systems.</i>Data overviewThe datasets represent three different formats of the following data in WGS 1984 and Eckert IV projections:Global wind turbines in April 2020 clustered using a neighbourhood distance of 800mGlobal solar installations in April 2020 clustered using a neighbourhood distance of 400mThe formats comprise:ESRI geodatabase (<i>*.gdb</i>): proprietary geospatial file format for use with ArcGIS that contains two layers in the same file, one for solar and one for wind;Geopackages (<i>*.gpkg</i>): open source geospatial file format that can work with a variety of software and can store different geometries natively;Comma-delimited files (<i>*.csv</i>): the simplest format, these files represent the centroid of each data record, <i>i.e.</i> point data, as X and Y coordinates in a data table.Also included is an archive folder, <i>analysis</i>, that contains four R scripts and accompanying data used for acquiring and processing the data.Sharing and accessData adapted or built on OpenStreetMap data are required to be distributed under the same licence. These data are therefore made available under the Open Data Commons Open Database License (ODbL). Personal <i>figshare</i> accounts cannot currently present data under this licence so the data are currently (incorrectly) presented under a CC0 licence as a stopgap until this changes. More information on OpenStreetMap data and use of data can be found here.The data should be cited as follows:Dunnett, S. Harmonised global datasets of wind and solar farm locations and power. <i>figshare</i>. Dataset. https://doi.org/10.6084/m9.figshare.11310269 (2020)
DOI: 10.17632/8wksbry5cv
title: The Activation Trap: Why Top-Down Tourism Policy Fails in Nascent Destinations

description: This dataset was compiled for a qualitative study investigating the causes of developmental stagnation in Cilengkrang Village, Bandung Regency, Indonesia, a community officially designated by the government as a nascent tourism village. The research aims to analyse the preconditions necessary for the successful activation of the Pentahelix collaborative model (Government, Business, Community, Academia, and Media) within a pre-collaborative context. The data support the analysis that develops a new theoretical concept, the 'activation trap': a state of systemic inertia wherein a top-down policy fails to catalyse collaboration due to the absence of institutional readiness at the community level.

Data Collection Methodology
The data were gathered using a descriptive qualitative case study approach, employing a triangulation of methods to ensure validity and reliability. This comprised semi-structured, in-depth interviews with 15 purposively selected informants representing the five pillars of the Pentahelix (Government, Business, Community, Academia, and Media); passive participatory observation conducted over a three-month period to understand daily social interactions and economic structures; and an analysis of official documents.

Data Structure and Content
This dataset comprises primary and secondary qualitative data, organised into several folders. The /Guidance_Reports folder contains guidance and process reports that document observations and summarise interactions with stakeholders in Cilengkrang Village. The /Field_Notes folder contains notes from passive participatory observation, detailing social interactions and the economic conditions of the village. Finally, the /Documents folder holds digital copies of the public documents analysed in the research, such as the Regent's Decree and village planning documents.

Data Availability and Ethical Considerations
To protect the confidentiality and anonymity of the informants in accordance with research ethics standards, raw interview transcripts have not been made publicly available. The interview data analysed in the article were fully anonymised. The shared dataset (guidance reports, field notes, and public documents) does not contain any personally identifiable information.