cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dpwb7gdg2r
title: Transcripción entrevistas expertos

description: Este conjunto de datos reúne los materiales utilizados en una investigación sobre estrategias de newsjacking desarrolladas por marcas peruanas en TikTok. El dataset contiene las transcripciones de entrevistas y sesiones de focus group realizadas a participantes vinculados al estudio, empleadas para complementar y profundizar el análisis cualitativo. En conjunto, los datos registran información sobre recursos discursivos, expresivos y culturales, así como niveles de originalidad y coherencia con la identidad de marca, y respaldan los resultados presentados en la tesis. Este conjunto puede ser utilizado para investigaciones en comunicación digital, marketing en redes sociales y estudios de cultura digital.
DOI: 10.17632/dpwb7gdg2r.1
title: Transcripción entrevistas expertos

description: Este conjunto de datos reúne los materiales utilizados en una investigación sobre estrategias de newsjacking desarrolladas por marcas peruanas en TikTok. El dataset contiene las transcripciones de entrevistas y sesiones de focus group realizadas a participantes vinculados al estudio, empleadas para complementar y profundizar el análisis cualitativo. En conjunto, los datos registran información sobre recursos discursivos, expresivos y culturales, así como niveles de originalidad y coherencia con la identidad de marca, y respaldan los resultados presentados en la tesis. Este conjunto puede ser utilizado para investigaciones en comunicación digital, marketing en redes sociales y estudios de cultura digital.
DOI: 10.17632/fscgykzvwb
title: Gen-Z Political Perspectives and Engagement Survey 2025: A Comprehensive Analysis of Youth Sentiment in Bangladesh

description: The Gen-Z Political Perspectives and Engagement Survey 2025 is a comprehensive repository of socio-political data capturing the attitudes, digital behaviors, and governance expectations of Generation Z in Bangladesh. Comprising over 1,250 responses, the dataset serves as a vital barometer for the political climate of a nation undergoing transition. It documents the shift of a "digital-native" generation from passive observers to active stakeholders. By merging demographic markers with deep-dive questions on institutional trust and digital hygiene, this dataset provides an empirical foundation for understanding how the next generation perceives the political landscape.

The survey's demographic scope ensures a representative cross-section of the youth. It includes participants from under 18 to age 27, covering various educational levels from SSC to Bachelor’s degrees. Geographically, the data spans multiple districts such as Dhaka, Brahmanbaria, and Thakurgaon, offering both urban and regional perspectives. This diversity allows researchers to correlate educational and regional backgrounds with political awareness and civic participation.

A central theme is the crisis of institutional trust and the demand for systemic reform. The survey explores the reasons behind political skepticism, identifying corruption and broken promises as primary drivers. It gauges confidence in existing institutions—such as the military, media, and police—versus openness to emerging political parties. This focus provides a clear picture of the barriers for traditional political actors and the specific areas where youth demand accountability.

The dataset also emphasizes the digital landscape, tracking news platforms like Facebook, YouTube, and X. It measures the influence of social media trends and "political influencers" on voting behavior. A unique feature is the investigation into digital literacy, specifically how often young people use AI or fact-checking tools before sharing content. This highlights a generation increasingly aware of misinformation and seeking to maintain digital integrity.

Ultimately, this survey is a tool for policymakers, strategists, and researchers. It offers insights into engaging young voters, emphasizing interactive social media and addressing youth-centric issues like education and job creation. By bridging the gap between traditional governance and youth aspirations, it provides a roadmap for a more inclusive political system in Bangladesh. It is a narrative of a generation striving for a reformed and transparent future.
DOI: 10.17632/fscgykzvwb.1
title: Gen-Z Political Perspectives and Engagement Survey 2025: A Comprehensive Analysis of Youth Sentiment in Bangladesh

description: The Gen-Z Political Perspectives and Engagement Survey 2025 is a comprehensive repository of socio-political data capturing the attitudes, digital behaviors, and governance expectations of Generation Z in Bangladesh. Comprising over 1,250 responses, the dataset serves as a vital barometer for the political climate of a nation undergoing transition. It documents the shift of a "digital-native" generation from passive observers to active stakeholders. By merging demographic markers with deep-dive questions on institutional trust and digital hygiene, this dataset provides an empirical foundation for understanding how the next generation perceives the political landscape.

The survey's demographic scope ensures a representative cross-section of the youth. It includes participants from under 18 to age 27, covering various educational levels from SSC to Bachelor’s degrees. Geographically, the data spans multiple districts such as Dhaka, Brahmanbaria, and Thakurgaon, offering both urban and regional perspectives. This diversity allows researchers to correlate educational and regional backgrounds with political awareness and civic participation.

A central theme is the crisis of institutional trust and the demand for systemic reform. The survey explores the reasons behind political skepticism, identifying corruption and broken promises as primary drivers. It gauges confidence in existing institutions—such as the military, media, and police—versus openness to emerging political parties. This focus provides a clear picture of the barriers for traditional political actors and the specific areas where youth demand accountability.

The dataset also emphasizes the digital landscape, tracking news platforms like Facebook, YouTube, and X. It measures the influence of social media trends and "political influencers" on voting behavior. A unique feature is the investigation into digital literacy, specifically how often young people use AI or fact-checking tools before sharing content. This highlights a generation increasingly aware of misinformation and seeking to maintain digital integrity.

Ultimately, this survey is a tool for policymakers, strategists, and researchers. It offers insights into engaging young voters, emphasizing interactive social media and addressing youth-centric issues like education and job creation. By bridging the gap between traditional governance and youth aspirations, it provides a roadmap for a more inclusive political system in Bangladesh. It is a narrative of a generation striving for a reformed and transparent future.
DOI: 10.17632/thk35mbg88
title: SOC

description: Data of soil organic carbon and its influencing factors in natural grasslands of Yunnan, China.
DOI: 10.17632/thk35mbg88.1
title: SOC

description: Data of soil organic carbon and its influencing factors in natural grasslands of Yunnan, China.
DOI: 10.48329/w272-7t19
title: CPRD Aurum HES APC November 2024

description: HES Admitted Patient Care (HES APC) data contains details of all admissions to, or attendances at English NHS healthcare providers. It includes private patients treated in NHS hospitals, patients resident outside of England and care delivered by treatment centres (including those in the independent sector) funded by the NHS. All NHS healthcare providers in England, including acute hospital trusts, primary care trusts and mental health trusts provide data.
HES APC data includes the complete set of hospital episode information (admission and discharge dates, diagnoses (identifying primary diagnosis), specialists seen under and procedures undertaken) for each linked patient with a hospitalisation record. In addition, Augmented care data (intensive and/or high dependency levels of care) and Maternity data are available.
Diagnostic data recorded in HES are coded using the International Classification of Diseases version 10 (ICD10) coding frame; procedure information is coded using the UK Office of Population, Census and Surveys classification (OPCS) 4.6.
Requests for HES APC data access are subject to prior protocol approval. Further information is available at https://www.cprd.com/linked-data.
Coverage from April 1997 to March 2023
DOI: 10.17632/yx2td49bj9
title: CSIR LEATHER DATA v2

description: The dataset consists of images acquired from processed Indian goat leathers. Each image encompasses a leather area of 42mmx48mm.
DOI: 10.17632/yx2td49bj9.2
title: CSIR LEATHER DATA v2

description: The dataset consists of images acquired from processed Indian goat leathers. Each image encompasses a leather area of 42mmx48mm.
DOI: 10.17632/k38bk59mdj
title: Factores que limitan la aplicación del storytelling como estrategia publicitaria en marcas emergentes (base de datos)

description: El conjunto de datos corresponde a la investigación titulada «Factores que limitan la aplicación del storytelling como estrategia publicitaria en marcas emergentes del rubro textil del distrito de La Victoria, año 2025». Está conformado por fichas de observación de dos marcas emergentes del emporio comercial de Gamarra y transcripciones de entrevistas semiestructuradas realizadas a expertos en publicidad y storytelling, así como a representantes de marcas emergentes del rubro textil del distrito de La Victoria. Las fichas de observación registran información sobre las estrategias publicitarias y el uso del storytelling en entornos digitales, mientras que las entrevistas recogen percepciones y aportes especializados sobre los factores que limitan su aplicación. Los datos respaldan el desarrollo y la interpretación de los resultados de la investigación.
DOI: 10.17632/k38bk59mdj.1
title: Factores que limitan la aplicación del storytelling como estrategia publicitaria en marcas emergentes (base de datos)

description: El conjunto de datos corresponde a la investigación titulada «Factores que limitan la aplicación del storytelling como estrategia publicitaria en marcas emergentes del rubro textil del distrito de La Victoria, año 2025». Está conformado por fichas de observación de dos marcas emergentes del emporio comercial de Gamarra y transcripciones de entrevistas semiestructuradas realizadas a expertos en publicidad y storytelling, así como a representantes de marcas emergentes del rubro textil del distrito de La Victoria. Las fichas de observación registran información sobre las estrategias publicitarias y el uso del storytelling en entornos digitales, mientras que las entrevistas recogen percepciones y aportes especializados sobre los factores que limitan su aplicación. Los datos respaldan el desarrollo y la interpretación de los resultados de la investigación.
DOI: 10.17632/k923k4rhgx
title: Replication files for water resource tax and corporate bank debt

description: This folder contains Stata code and associated data files for conducting regression analysis in the paper, "Water Resource Tax and Corporate Bank Debt: Evidence from China." The data used in this paper are publicly available, and the code is compatible with Stata version MP17.
DOI: 10.17632/k923k4rhgx.3
title: Replication files for water resource tax and corporate bank debt

description: This folder contains Stata code and associated data files for conducting regression analysis in the paper, "Water Resource Tax and Corporate Bank Debt: Evidence from China." The data used in this paper are publicly available, and the code is compatible with Stata version MP17.
DOI: 10.17632/3cgg3kdmgb
title: Strong K acquisition from vermiculite by sweet potato also improves K nutrition in neighboring plants

description: Raw data
DOI: 10.17632/3cgg3kdmgb.1
title: Strong K acquisition from vermiculite by sweet potato also improves K nutrition in neighboring plants

description: Raw data
DOI: 10.15468/dl.7f4yuw
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paramacrolobium coeruleum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 219 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004852-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxdh3t
title: Occurrence Download

description: A dataset containing 2038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juniperus squamata"
 ]
}

 The dataset includes 2038 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004851-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ans9b7
title: Occurrence Download

description: A dataset containing 58002 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lycorma delicatula"
 ]
}

 The dataset includes 58002 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004703-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwwj8d
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.26_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhodiola kirilowii"
 ]
}

 The dataset includes 196 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004853-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.449hrz
title: Occurrence Download

description: A dataset containing 402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iotyrris cingulifera",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 402 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004854-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69cu7y
title: Occurrence Download

description: A dataset containing 519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pararchidendron pruinosum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 519 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004856-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndwcr6
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stylocheilus longicauda",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 245 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004857-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.md5gxq
title: Occurrence Download

description: A dataset containing 115579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Opuntia tomentosa, Opuntia stricta, Opuntia spinulifera, Opuntia salmiana, Opuntia robusta, Opuntia pubescens, Opuntia monacantha, Opuntia microdasys, Opuntia leucotricha, Opuntia humifusa, Opuntia ficus-indica, Opuntia engelmannii, Opuntia elata, Opuntia aurantiaca)"
 ]
}

 The dataset includes 115579 records from 779 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004710-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nskpa3
title: Occurrence Download

description: A dataset containing 519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parkia bicolor",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 519 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004858-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtk9vx
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Opuntia tuna"
 ]
}

 The dataset includes 445 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004859-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xurxzg
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((99.92764 31.47727,135.07236 31.47727,135.07236 45.52273,99.92764 45.52273,99.92764 31.47727))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phlomoides jeholensis"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004860-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qs6r52
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Subcancilla scrobiculata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 29 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004861-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vq44ga
title: Occurrence Download

description: A dataset containing 565 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección Zoológica Universidad del Tolima (CZUT) - Arácnidos"
 ]
}

 The dataset includes 565 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004862-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17103244
title: Data and scripts for: Disentangling the Dual Pathways of Intra-seasonal Soil Moisture-Temperature Coupling

description: Abstract: This repository contains all processed datasets, geographical shapefiles, and analytical scripts required to reproduce the findings of the study "Disentangling the Dual Pathways of Intra-seasonal Soil Moisture-Temperature Coupling: From Climatological Feedbacks to Nonlinear Amplification" 。The study identifies distinct frequency-dependent interaction regimes between soil moisture and temperature over the Low-Latitude Highlands-Indo-China Peninsula (LLH-ICP) 。We provide evidence for a land-driven slow feedback pathway (periods > 40 days) and an atmosphere-driven fast response pathway (15–20 days) 。The repository specifically supports the validation of the "hypersensitive regime" and the "amplifier effect" during extreme events, such as the 2019 heatwave 。

Repository Structure: The files are organized into a hierarchical structure to facilitate navigation across different diagnostic stages:

data/climatology/: Standardized daily anomalies (1979–2019), including pre-computed Empirical Orthogonal Function (EOF) results and filtered frequency components used for climatological diagnostics 。

data/2019/: Variables and filtered components specifically processed for the 2019 extreme heatwave natural experiment 。

data/shapefile/: National Large Scientific Facility shapefiles (e.g., gms.shp) used for precise regional masking and removing extraneous regional characteristics from the analysis.

data/scripts/: The complete suite of analytical code:

NCL Scripts (v6.6.2): For data preprocessing, EOF analysis, and Cross-Power Spectral Density (CPSD) calculations 。

Python Scripts (v3.12): For phase-space diagnostics, constructing hysteresis loops, and visualizing the cross-scale amplifier effect (nesting analysis) 。

README.md: Detailed instructions on software dependencies and step-by-step figure reproduction 。

Technical Acknowledgments: Computational support for the execution of these analysis workflows was provided by the National Large Scientific and Technological Infrastructure "Earth System Numerical Simulation Facility" (https://cstr.cn/31134.02.EL)。

Data Sources: Raw input data were sourced from the ERA5-Land reanalysis distributed by the Copernicus Climate Change Service (C3S) 。
DOI: 10.5281/zenodo.18408146
title: Data and scripts for: Disentangling the Dual Pathways of Intra-seasonal Soil Moisture-Temperature Coupling

description: Abstract: This repository contains all processed datasets, geographical shapefiles, and analytical scripts required to reproduce the findings of the study "Disentangling the Dual Pathways of Intra-seasonal Soil Moisture-Temperature Coupling: From Climatological Feedbacks to Nonlinear Amplification" 。The study identifies distinct frequency-dependent interaction regimes between soil moisture and temperature over the Low-Latitude Highlands-Indo-China Peninsula (LLH-ICP) 。We provide evidence for a land-driven slow feedback pathway (periods > 40 days) and an atmosphere-driven fast response pathway (15–20 days) 。The repository specifically supports the validation of the "hypersensitive regime" and the "amplifier effect" during extreme events, such as the 2019 heatwave 。

Repository Structure: The files are organized into a hierarchical structure to facilitate navigation across different diagnostic stages:

data/climatology/: Standardized daily anomalies (1979–2019), including pre-computed Empirical Orthogonal Function (EOF) results and filtered frequency components used for climatological diagnostics 。

data/2019/: Variables and filtered components specifically processed for the 2019 extreme heatwave natural experiment 。

data/shapefile/: National Large Scientific Facility shapefiles (e.g., gms.shp) used for precise regional masking and removing extraneous regional characteristics from the analysis.

data/scripts/: The complete suite of analytical code:

NCL Scripts (v6.6.2): For data preprocessing, EOF analysis, and Cross-Power Spectral Density (CPSD) calculations 。

Python Scripts (v3.12): For phase-space diagnostics, constructing hysteresis loops, and visualizing the cross-scale amplifier effect (nesting analysis) 。

README.md: Detailed instructions on software dependencies and step-by-step figure reproduction 。

Technical Acknowledgments: Computational support for the execution of these analysis workflows was provided by the National Large Scientific and Technological Infrastructure "Earth System Numerical Simulation Facility" (https://cstr.cn/31134.02.EL)。

Data Sources: Raw input data were sourced from the ERA5-Land reanalysis distributed by the Copernicus Climate Change Service (C3S) 。