cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/x5szmx67w8.1
title: Laboratory Dataset on Local Scour Around Complex RC Piers with Pile Groups

description: This dataset contains 336 clear-water experimental cases of local scour depth around complex reinforced concrete (RC) bridge piers supported by pile caps and pile groups. The data were compiled from multiple peer-reviewed laboratory studies and reflect a broad range of hydraulic, geometric, and sediment conditions representative of real-world bridge foundations. Each entry includes detailed parameters describing:
- Hydraulic conditions: flow velocity, water depth, flow duration, Froude number
- Sediment properties: median grain diameter, geometric standard deviation
- Pier column geometry: width, length, shape
- Pile cap configuration: width, length, height, shape, submergence level
- Pile group arrangement: number of piles, spacing, diameter, orientation relative to flow
- Measured scour depth: maximum equilibrium scour depth
The dataset also includes a set of derived dimensionless parameters based on Buckingham π-theorem, which were used in the machine learning analysis in the corresponding publication. These dimensionless variables enable model generalization across different scales and experimental setups.
This dataset supports the paper titled: “Optimizable Machine Learning Models for Accurate Prediction of Flood-Induced Local Scour Around Complex Reinforced-Concrete Piers”
(submitted to Proceedings of the Institution of Civil Engineers - Water Management, 2025)
DOI: 10.17632/7rzdwnxf9t
title: Data for: Fluvial flood extent modeling using machine learning algorithms trained on benchmark flood maps: new insights for time-effective flood mapping

description: Input and resulting data.
DOI: 10.17632/7rzdwnxf9t.1
title: Data for: Fluvial flood extent modeling using machine learning algorithms trained on benchmark flood maps: new insights for time-effective flood mapping

description: Input and resulting data.
DOI: 10.17632/3r5gwcyjxm
title: Broullon_REMEDIOS2025

description: Data to reproduce analysis in Contrasting mixing conditions in adjacent upwelling bays shape the occurrence of thin layers of phytoplankton, Broullon et al. Code is available at https://github.com/ebroullon/Broullon_REMEDIOS2025. README file also available at github.

The folder is divided in three subfolders: one with the data for the CROCO model output (croco_model), one for data corresponding to CTD and microstructure MSS90 measurements collected during the REMEDIOS-TLP cruise (remedios-tlp) and one for the ADCP data also collected during REMEDIOS-TLP (ADCP).
DOI: 10.17632/3r5gwcyjxm.1
title: Broullon_REMEDIOS2025

description: Data to reproduce analysis in Contrasting mixing conditions in adjacent upwelling bays shape the occurrence of thin layers of phytoplankton, Broullon et al. Code is available at https://github.com/ebroullon/Broullon_REMEDIOS2025. README file also available at github.

The folder is divided in three subfolders: one with the data for the CROCO model output (croco_model), one for data corresponding to CTD and microstructure MSS90 measurements collected during the REMEDIOS-TLP cruise (remedios-tlp) and one for the ADCP data also collected during REMEDIOS-TLP (ADCP).
DOI: 10.17632/bvh3dnyr39
title: Trust in deepfake ads

description: Sample: 268 respondents (demographics: e.g., age 18–65, balanced gender) recruited via [online questionnaire platform] using screening criteria for deepfake ad familiarity.
Design: Cross-sectional survey with validated scales (7-point Likert) measuring:

Independent variables: brand reputation, perceived reliability, usefulness, authenticity, preciseness, accuracy, originality, relevance, propensity to trust and humanness

Dependent variable: Trust in deepfake ads
Analysis: Structural equation modeling (SmartPLS 4.0) for path analysis, bootstrapping (5,000 resamples) to test significance.
DOI: 10.17632/bvh3dnyr39.1
title: Trust in deepfake ads

description: Sample: 268 respondents (demographics: e.g., age 18–65, balanced gender) recruited via [online questionnaire platform] using screening criteria for deepfake ad familiarity.
Design: Cross-sectional survey with validated scales (7-point Likert) measuring:

Independent variables: brand reputation, perceived reliability, usefulness, authenticity, preciseness, accuracy, originality, relevance, propensity to trust and humanness

Dependent variable: Trust in deepfake ads
Analysis: Structural equation modeling (SmartPLS 4.0) for path analysis, bootstrapping (5,000 resamples) to test significance.
DOI: 10.17632/f7cgwny5yn
title: Data: Identification of sources of methane in Ho Chi Minh City, Vietnam

description: Data for the manuscript "Identification of sources of methane in Ho Chi Minh City, Vietnam". Includes methane, ethane, δ13C and δ2H data collected by Royal Holloway University of London during a mobile measurement study in 2023. Also included are methane data from 2018/2019 from a fixed site in Ho Chi Minh City were collected by University of East Anglia. Measurements made possible by and in collaboration with Faculty of Environment, University of Science, Ho Chi Minh City, Vietnam/Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam.
DOI: 10.17632/f7cgwny5yn.1
title: Data: Identification of sources of methane in Ho Chi Minh City, Vietnam

description: Data for the manuscript "Identification of sources of methane in Ho Chi Minh City, Vietnam". Includes methane, ethane, δ13C and δ2H data collected by Royal Holloway University of London during a mobile measurement study in 2023. Also included are methane data from 2018/2019 from a fixed site in Ho Chi Minh City were collected by University of East Anglia. Measurements made possible by and in collaboration with Faculty of Environment, University of Science, Ho Chi Minh City, Vietnam/Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam.
DOI: 10.15468/dl.738kfg
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "Geometry POLYGON((17.95387 59.30072,18.15628 59.30072,18.15628 59.39914,17.95387 59.39914,17.95387 59.30072))",
 "HasCoordinate is true",
 "TaxonKey is Schizophyllum commune Fr."
 ]
}

 The dataset includes 46 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060644-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/t8ns6fdky2.1
title: MASEM Dataset on Educational AI Technology Adoption among Students（from 2020 to May 2025）

description: This dataset supports a meta-analytic structural equation modelling (MASEM) study investigating the factors influencing students’ behavioural intention to use educational AI (EAI) technologies. The research integrates constructs from the Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB), and Artificial Intelligence Literacy (AIL), aiming to resolve inconsistencies in previous studies and improve theoretical understanding of EAI technology adoption.

Research Hypotheses
The study hypothesized that: Students’ behavioural intention (INT) to use EAI technologies is influenced by perceived usefulness (PU), perceived ease of use (PEU), attitude (ATT), subjective norm (SN), and perceived behavioural control (PBC), as described in TAM and TPB.
AI literacy (AIL) directly and indirectly predicts PU, PEU, ATT, and INT.
These relationships are moderated by contextual factors such as academic level (K–12 vs. higher education) and regional economic development (developed vs. developing countries).

What the Data Shows
The meta-analytic dataset comprises 166 empirical studies involving over 69,000 participants. It includes pairwise Pearson correlations among seven constructs (PU, PEU, ATT, SN, PBC, INT, AIL) and is used to compute a pooled correlation matrix. This matrix was then used to test three models via MASEM: A baseline TAM-TPB model,
An internal-extended model with additional TPB internal paths, An AIL-integrated extended model. The AIL-integrated model achieved the best fit (CFI = 0.997, RMSEA = 0.053) and explained 62.3% of the variance in behavioural intention.

Notable Findings
AI literacy (AIL) is the strongest predictor of intention to use EAI technologies (Total Effect = 0.408).
PU, ATT, and SN also significantly influence intention.
The effect of PEU on intention is fully mediated by PU and ATT.
Moderation analysis showed that the relationships differ between developed and developing countries and between K–12 and higher education populations.

How the Data Can Be Interpreted and Used
The dataset includes bivariate correlations between variables, publication metadata, sample sizes, coding information, and reliability values (e.g., CR scores). Suitable for replication of MASEM procedures, moderation analysis, and meta-regression. Researchers may use it to test additional theoretical models or assess the influence of new moderators (e.g., AI tool type). Educators and policymakers can leverage insights from the meta-analytic results to inform AI literacy training and technology adoption strategies.
DOI: 10.15468/dl.pn9mf6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micrasterias C.Agardh ex Ralfs, 1848",
 "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 ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060643-250525065834625/datasets/export for details.
DOI: 10.17632/kmvv6mx43j
title: Tourist Attractions in Bangladesh

description: Tourist attractions in Bangladesh dataset is the information and statistics about the popular destinations and landmarks that attract tourists in Bangladesh. This dataset contains information about visitor numbers, demographics, visitor satisfaction, popular landmarks, museums, national parks, historical sites, amusement parks, and economic impact.
There are 495 sub-districts or upazilas in Bangladesh. The information regarding the upazilas was collected from the official outlet of the Bangladesh government, which is responsible for providing any official administrative information. Then, with the help of Google Places API, we gather information on attractive places on each upazila based on three keywords: points of interest, historical places, and tourist places. We collected information on about ten places for each keyword in each upazila.
The collected data was JSON-encoded. Each record contains features like title, which is the place's name, upazila name, longitude, latitude, rating, rating count, category, id, and keyword. However, the raw dataset was not in proper format with suitable information. After processing all the records by data integration, validation, feature extraction, outlier removal, and pre-processing, we finally have 13,813 records about tourist spots across Bangladesh. To increase the portability and usability on different systems, the entire dataset was also converted to CSV, JSON, and SQL formats. Many titles and place names are in the Bangla language. Therefore, a separate dataset has been prepared that contains all information translated in English.
DOI: 10.17632/kmvv6mx43j.3
title: Tourist Attractions in Bangladesh

description: Tourist attractions in Bangladesh dataset is the information and statistics about the popular destinations and landmarks that attract tourists in Bangladesh. This dataset contains information about visitor numbers, demographics, visitor satisfaction, popular landmarks, museums, national parks, historical sites, amusement parks, and economic impact.
There are 495 sub-districts or upazilas in Bangladesh. The information regarding the upazilas was collected from the official outlet of the Bangladesh government, which is responsible for providing any official administrative information. Then, with the help of Google Places API, we gather information on attractive places on each upazila based on three keywords: points of interest, historical places, and tourist places. We collected information on about ten places for each keyword in each upazila.
The collected data was JSON-encoded. Each record contains features like title, which is the place's name, upazila name, longitude, latitude, rating, rating count, category, id, and keyword. However, the raw dataset was not in proper format with suitable information. After processing all the records by data integration, validation, feature extraction, outlier removal, and pre-processing, we finally have 13,813 records about tourist spots across Bangladesh. To increase the portability and usability on different systems, the entire dataset was also converted to CSV, JSON, and SQL formats. Many titles and place names are in the Bangla language. Therefore, a separate dataset has been prepared that contains all information translated in English.
DOI: 10.17632/tcm5n7zwbj
title: HS GLP1 Supplementary Table

description: HS and GLP-1 subgroup analyses.
DOI: 10.17632/tcm5n7zwbj.1
title: HS GLP1 Supplementary Table

description: HS and GLP-1 subgroup analyses.
DOI: 10.25824/redu/uhza3y
title: Tradução intersemiótica: um quadro sinótico com base em Julio Plaza

description: Quadro sinótico elaborado a partir da leitura do livro "Tradução intersemiótica", de Julio Plaza (1938-2003). Synoptic table prepared from reading the book "Tradução intersemiótica", by Julio Plaza (1938-2003).
DOI: 10.17632/dwk4hv55xc.1
title: CRISPR/Cas9-generated CD46-knockout spermatogonial stem cells reveal mechanisms of BVDV-induced reproductive dysfunction in male livestock

description: Research Hypothesis
This study tests the hypothesis that BVDV directly impairs male reproductive function by infecting spermatogonial stem cells (SSCs), disrupting proliferation/self-renewal pathways, and inducing novel cell death mechanisms (e.g., ferroptosis). We further hypothesize that CD46 serves as a key receptor facilitating BVDV entry into SSCs.

Data Overview
This dataset comprises experimental results from in vitro BVDV infection of bovine and caprine SSCs, including:
Viral replication kinetics (qPCR, TCID₅₀ assays)
Gene/protein expression (RNA-seq/qRT-PCR data; Western blots for PCNA, CCND1, CDK2, Lin28A, OCT4, SOX2)
Ferroptosis markers (Lipid ROS assays, iron quantification, GPX4 expression)
Cell viability/proliferation (CCK-8)
Significance Statement
This dataset provides the first evidence that BVDV directly targets SSCs, causing ferroptosis and transcriptional dysregulation of fertility genes. CD46 editing data validate a strategy for generating BVDV-resistant livestock. Data reuse can accelerate antiviral therapy development and precision breeding programs.
DOI: 10.15468/dl.bw6t9t
title: Occurrence Download

description: A dataset containing 2492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Thailand, Cambodia, Viet Nam, Lao People’s Democratic Republic, Myanmar, Singapore)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Callosciurus finlaysonii (Horsfield, 1823)"
 ]
}

 The dataset includes 2492 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060645-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15319884
title: Concentrations of trace elements measured in plants and soils at Lhù'ààn Mân' (Kluane Lake, Yukon Territory, Canada)

description: We sampled three plant species soapberry (Shepherdia canadensis), white spruce (Picea glauca), and twinflower (Linnaea borealis) with stainless-steel knife scissors, at 14 sites. We sampled different plant parts: fine (< 1 mm) and medium (3 to 5 mm) roots, leaves or needles, stems, and berries or flowers when possible. The parameters measured were Titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg), and lead (Pb) (mg/kg) in the three plant species.

Soil horizons were also sampled using a stainless-trowel from the surface down to the bedrock at each site. The parameters measured were conductivity (ms/cm), pH, dissolved organic carbon (DOC) (mg/L), nitrates (NO3) (mg/kg), phosphates (PO4) (mg/kg), sulfates (SO4) (mg/kg), sodium (Na) (mg/kg), potassium (K) (mg/kg), magnesium (Mg) (mg/kg), calcium (Ca) (mg/kg), titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg) and lead (Pb) (mg/kg) in the soil extractable fraction. The parameters measured were soil organic matter (SOM) (%), inorganic carbon (%), titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg) and lead (Pb) (mg/kg) in the bulk fraction. The parameters measured were titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg) and lead (Pb) (mg/kg) in the fine fraction.
DOI: 10.5281/zenodo.15319885
title: Concentrations of trace elements measured in plants and soils at Lhù'ààn Mân' (Kluane Lake, Yukon Territory, Canada)

description: We sampled three plant species soapberry (Shepherdia canadensis), white spruce (Picea glauca), and twinflower (Linnaea borealis) with stainless-steel knife scissors, at 14 sites. We sampled different plant parts: fine (< 1 mm) and medium (3 to 5 mm) roots, leaves or needles, stems, and berries or flowers when possible. The parameters measured were Titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg), and lead (Pb) (mg/kg) in the three plant species.

Soil horizons were also sampled using a stainless-trowel from the surface down to the bedrock at each site. The parameters measured were conductivity (ms/cm), pH, dissolved organic carbon (DOC) (mg/L), nitrates (NO3) (mg/kg), phosphates (PO4) (mg/kg), sulfates (SO4) (mg/kg), sodium (Na) (mg/kg), potassium (K) (mg/kg), magnesium (Mg) (mg/kg), calcium (Ca) (mg/kg), titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg) and lead (Pb) (mg/kg) in the soil extractable fraction. The parameters measured were soil organic matter (SOM) (%), inorganic carbon (%), titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg) and lead (Pb) (mg/kg) in the bulk fraction. The parameters measured were titanium (Ti) (mg/kg), nickel (Ni) (mg/kg), copper (Cu) (mg/kg), arsenic (As) (mg/kg), cadmium (Cd) (mg/kg) and lead (Pb) (mg/kg) in the fine fraction.
DOI: 10.7910/dvn/ill0u5
title: Replication Data for: A Comprehensive Analysis of Circular Fashion in Small Clothing Firms published by Revista de Administração Contemporânea

description: Dados dos casos estudados, contendo os itens de análise do instrumento. Em documento separado, as fotos tiradas durante as observações in loco são apresentadas.
DOI: 10.5522/04/27931947
title: Meta16S Custom Reference Database Mexico City Fish & Herpetofauna

description: FASTA file with the sequences for amphibian, fish and reptile species registered to occur in Mexico City, functioning as a custom reference database for the Meta16S metabarcoding library. Sanger sequences were obtained through DNA extractions from preserved tissues (obtained through the project's collaborators) using the QIAGEN DNeasy Blood & Tissue kit. The processing of the sequences (including <i>de novo</i> assembly) was done using Geneious Prime. Sequences were used during the Taxonomy Assignment step of the bioinformatic pipeline using Python packages <i>BLAST+</i> and <i>BASTA</i>.<br>
DOI: 10.5522/04/27931947.v1
title: Meta16S Custom Reference Database Mexico City Fish & Herpetofauna

description: FASTA file with the sequences for amphibian, fish and reptile species registered to occur in Mexico City, functioning as a custom reference database for the Meta16S metabarcoding library. Sanger sequences were obtained through DNA extractions from preserved tissues (obtained through the project's collaborators) using the QIAGEN DNeasy Blood & Tissue kit. The processing of the sequences (including <i>de novo</i> assembly) was done using Geneious Prime. Sequences were used during the Taxonomy Assignment step of the bioinformatic pipeline using Python packages <i>BLAST+</i> and <i>BASTA</i>.<br>
DOI: 10.15468/dl.rzcb6m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micrasterias C.Agardh ex Ralfs, 1848",
 "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 ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060647-250525065834625/datasets/export for details.
DOI: 10.5522/04/27367908
title: Raw reads 12S-V5 Illumina MiSeq metabarcoding library

description: Demultiplexed raw reads of the 12S-V5 Illumina MiSeq metabarcoding library using the 2 X 150 chemistry kit. The metabarcoding contains sequences of ~110 bp from various vertebrate groups. The files contained include true samples, positive control and negative controls. The data contained in the files was assessed using the Python package FastQC, while processing and filtering were conducted using the R package dada2 for Amplicon Sequence Variants (ASVs) generation. Downstream analysis was performed using R package <i>phyloseq</i> and formatted for ecological analyses using additional R packages (e.g. <i>vegan</i>).
DOI: 10.5522/04/27367908.v1
title: Raw reads 12S-V5 Illumina MiSeq metabarcoding library

description: Demultiplexed raw reads of the 12S-V5 Illumina MiSeq metabarcoding library using the 2 X 150 chemistry kit. The metabarcoding contains sequences of ~110 bp from various vertebrate groups. The files contained include true samples, positive control and negative controls. The data contained in the files was assessed using the Python package FastQC, while processing and filtering were conducted using the R package dada2 for Amplicon Sequence Variants (ASVs) generation. Downstream analysis was performed using R package <i>phyloseq</i> and formatted for ecological analyses using additional R packages (e.g. <i>vegan</i>).
DOI: 10.15468/dl.uszey6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micrasterias C.Agardh ex Ralfs, 1848",
 "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 ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060649-250525065834625/datasets/export for details.