cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7xbbfpwpgf
title: Study on Pore Size Distribution and Permeability of Strontium-source Biocemented Calcareous Sand and Quartz Sand Based on MIP and X-CT

description: Mercury intrusion porosimetry (MIP) and X-ray micro-computed tomography (X-CT) techniques were used to characterize the pore structure of strontium-source biocemented calcareous sand and quartz sand. Considering the impact of different grouting cycles and depths on treatment, MIP results can be used to characterize pore parameters, including total pore volume, porosity, and pore size distribution (PSD). Additionally, 3D pore models were reconstructed using X-ray CT images to extract pore parameters. Additionally, the Finite Volume Method (FVM) was used for direct seepage simulation at the pore scale to investigate the relationship between the pore characteristics and permeability. The raw data of this study were upload here.
DOI: 10.17632/7xbbfpwpgf.1
title: Study on Pore Size Distribution and Permeability of Strontium-source Biocemented Calcareous Sand and Quartz Sand Based on MIP and X-CT

description: Mercury intrusion porosimetry (MIP) and X-ray micro-computed tomography (X-CT) techniques were used to characterize the pore structure of strontium-source biocemented calcareous sand and quartz sand. Considering the impact of different grouting cycles and depths on treatment, MIP results can be used to characterize pore parameters, including total pore volume, porosity, and pore size distribution (PSD). Additionally, 3D pore models were reconstructed using X-ray CT images to extract pore parameters. Additionally, the Finite Volume Method (FVM) was used for direct seepage simulation at the pore scale to investigate the relationship between the pore characteristics and permeability. The raw data of this study were upload here.
DOI: 10.17632/6g8y6627xj
title: Research Data（Soil nutrients and enzyme activities during litter decomposition in Chinese Loess Plateau）

description: Soil nutrients and enzyme activities during litter decomposition in Chinese Loess Plateau
DOI: 10.17632/6g8y6627xj.1
title: Research Data（Soil nutrients and enzyme activities during litter decomposition in Chinese Loess Plateau）

description: Soil nutrients and enzyme activities during litter decomposition in Chinese Loess Plateau
DOI: 10.17632/tn84xsvrm2
title: Basic Geographic Information Data of Wangmaogou Watershed

description: Basic geographic information data, including terrain, hydrology, environment, etc., are the main erosion driving factors in the Wangmaogou watershed (ArcGIS 10.2).
DOI: 10.17632/tn84xsvrm2.1
title: Basic Geographic Information Data of Wangmaogou Watershed

description: Basic geographic information data, including terrain, hydrology, environment, etc., are the main erosion driving factors in the Wangmaogou watershed (ArcGIS 10.2).
DOI: 10.17632/44g6h78b2m
title: InSDN-8

description: We proposes a set of standard features of ML-based DDoS detection in SDN environments using full-featured InSDN dataset.

The standardization of a feature set is expected to bridge the gap between research and the practical application of ML-based DDoS detection systems. The feature-selection process identified the most commonly used metrics across eight key studies in the field. Only those features appearing in at least four of the eight reviewed studies were retained to ensure broad consensus and effectiveness. The resulting standardized set comprises eight features: Protocol [6], Flow Duration [28], Flow IAT Max [41], Bwd Pkts/s [79], Pkt Len Std [25], Pkt Len Var [26], Bwd IAT Tot [34], and Flow Pkts/s [77].
DOI: 10.17632/44g6h78b2m.2
title: InSDN-8

description: We proposes a set of standard features of ML-based DDoS detection in SDN environments using full-featured InSDN dataset.

The standardization of a feature set is expected to bridge the gap between research and the practical application of ML-based DDoS detection systems. The feature-selection process identified the most commonly used metrics across eight key studies in the field. Only those features appearing in at least four of the eight reviewed studies were retained to ensure broad consensus and effectiveness. The resulting standardized set comprises eight features: Protocol [6], Flow Duration [28], Flow IAT Max [41], Bwd Pkts/s [79], Pkt Len Std [25], Pkt Len Var [26], Bwd IAT Tot [34], and Flow Pkts/s [77].
DOI: 10.17632/bw7gsycy2w
title: The burden of alopecia areata among US States, 2000–2021: A systematic analysis for the Global Burden of Disease Study 2021

description: Journal of the American Academy of Dermatology (JAAD)
Supplementary data of alopecia areata burden in the US, 2000-2021 using the GBD study 2021.
DOI: 10.17632/bw7gsycy2w.2
title: The burden of alopecia areata among US States, 2000–2021: A systematic analysis for the Global Burden of Disease Study 2021

description: Journal of the American Academy of Dermatology (JAAD)
Supplementary data of alopecia areata burden in the US, 2000-2021 using the GBD study 2021.
DOI: 10.17632/4fm5hgzcnd
title: AJR

description: gig workers' adaptation in algorithmic control environments
DOI: 10.17632/4fm5hgzcnd.1
title: AJR

description: gig workers' adaptation in algorithmic control environments
DOI: 10.17632/z2yh22knrs
title: Research Respondent Data

description: Research Respondent Data
DOI: 10.17632/z2yh22knrs.1
title: Research Respondent Data

description: Research Respondent Data
DOI: 10.15468/dl.8u6n79
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Hysterangium thwaitesii"
 ]
}

 The dataset includes 36 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050447-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/454kw3ck9w
title: Digital Govt

description: Data about Digital government transformation
DOI: 10.17632/454kw3ck9w.1
title: Digital Govt

description: Data about Digital government transformation
DOI: 10.17632/9d84y9tzc5
title: Slope Erosion Risk Assessment of backfilled Loess Gully Head Based on Multi-Source Data Integration

description: This data includes some of the data sources required for the article "Slope Erosion Risk Assessment of Backfilled Loess Gully Head Based on Multi-Source Data Integration."
DOI: 10.17632/9d84y9tzc5.1
title: Slope Erosion Risk Assessment of backfilled Loess Gully Head Based on Multi-Source Data Integration

description: This data includes some of the data sources required for the article "Slope Erosion Risk Assessment of Backfilled Loess Gully Head Based on Multi-Source Data Integration."
DOI: 10.15468/dl.92gdp2
title: Occurrence Download

description: A dataset containing 2626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Lactarius acerrimus"
 ]
}

 The dataset includes 2626 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050449-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13cpa5b
title: Model application data release for a 2D hydraulic model (HEC-RAS) of the Kalamazoo River Trowbridge Dam to Allegan City Dam reach

description: A 2D HEC-RAS hydraulic model was developed to simulate flow velocities and shear stresses within a reach of the Kalamazoo River in southeastern Michigan from the Trowbridge Dam to the Allegan City Dam. The development of the 2D HEC-RAS model is described in the associated U.S. Geological Survey Scientific Investigations Report 2025-XXXX. This model archive contains all the files needed to document and run the hydraulic models. The directories in the archive are each presented as a separate .zip file and they include "calibration_data", "hec_ras_model", "miscellaneous", "quasi_steady_raster_outputs", "source", and "substrate" directories. These directories include the newly collected water surface elevation and velocity data used to calibrate the model, the model file input and output files, model outputs extracted along regularly spaced cross-sections, the model source code installer, newly collected channel substrate data, and raster outputs of the quasi-steady flow simulations, respectively. Additionally, there is a readme file that describes the contents of this model application and how to run the model.
DOI: 10.17632/xg5p343psn
title: Piglet DLC Tracker

description: Piglet video in a novel object test. Video to be used in conjunction with a docker image which utlises the DeepLabCut for tracking piglet movement in standardised tests. https://github.com/kevancote/piglet_tracker
DOI: 10.17632/xg5p343psn.1
title: Piglet DLC Tracker

description: Piglet video in a novel object test. Video to be used in conjunction with a docker image which utlises the DeepLabCut for tracking piglet movement in standardised tests. https://github.com/kevancote/piglet_tracker
DOI: 10.17632/55x2j65p6z
title: Modeling the Effects of Urban Park 3D Environmental Features on Bird Diversity with Interpretable Machine Learning: A Case Study of Harbin, Northeastern China

description: This study used bird observation records from the China Bird Report (CBR), covering major urban parks in Harbin between 2020 and 2024. We retained only records located within the parks or within a 1 km buffer surrounding them. Records of species with fewer than five individuals were excluded. In total, 765 valid records were compiled, representing 141 species, 18 orders, 47 families, and 25,874 individual birds. The three-dimensional (3D) environmental features of the parks were quantified using an H3 hexagonal grid system with a resolution level of 8, corresponding to a cell area of approximately 0.7 km². After feature selection with LASSO and correlation analysis to remove highly correlated variables, 17 3D urban environmental variables were retained for analysis.
DOI: 10.17632/55x2j65p6z.3
title: Modeling the Effects of Urban Park 3D Environmental Features on Bird Diversity with Interpretable Machine Learning: A Case Study of Harbin, Northeastern China

description: This study used bird observation records from the China Bird Report (CBR), covering major urban parks in Harbin between 2020 and 2024. We retained only records located within the parks or within a 1 km buffer surrounding them. Records of species with fewer than five individuals were excluded. In total, 765 valid records were compiled, representing 141 species, 18 orders, 47 families, and 25,874 individual birds. The three-dimensional (3D) environmental features of the parks were quantified using an H3 hexagonal grid system with a resolution level of 8, corresponding to a cell area of approximately 0.7 km². After feature selection with LASSO and correlation analysis to remove highly correlated variables, 17 3D urban environmental variables were retained for analysis.
DOI: 10.17632/cxrvkpyc26
title: Marshes - Silent architects of climate change, balancing the thermal equilibrium and carbon legacy

description: This data is referred to online for the review purpose of the paper. 
Refernce :Ritchie H, Roser M, Rosado P (2020) CO₂ and greenhouse gas emissions. Published online at https://ourworldindata.org/co2-and-greenhouse-gas-emissions
DOI: 10.17632/cxrvkpyc26.1
title: Marshes - Silent architects of climate change, balancing the thermal equilibrium and carbon legacy

description: This data is referred to online for the review purpose of the paper. 
Refernce :Ritchie H, Roser M, Rosado P (2020) CO₂ and greenhouse gas emissions. Published online at https://ourworldindata.org/co2-and-greenhouse-gas-emissions
DOI: 10.15139/s3/hcen5l
title: Vision Zero Belmont Safety Action Plan (2024). Belmont, North Carolina

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
description: The plan was originally downloaded on 09.03.2025 at the following link: https://storage.googleapis.com/proudcity/belmontnc/2025/05/Vision-Zero-Belmont-Traffic-Safety-Action-Plan_October-2024_w-Resolution.pdf
DOI: 10.17632/6s46dfytvp
title: DissimilarPerson

description: Data and code for "How can We Accurately Predict Matters of Taste Using Opinions from Dissimilar Individuals?"
DOI: 10.15468/dl.2tdenw
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spiraea prunifolia",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 582 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050450-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6s46dfytvp.1
title: DissimilarPerson

description: Data and code for "How can We Accurately Predict Matters of Taste Using Opinions from Dissimilar Individuals?"
DOI: 10.17632/j6my2dfyxy
title: Published RfDs and Molecular Descriptors

description: This dataset contains chronic non-cancer oral reference doses (RfDs) and molecular descriptors as starting data used to derive results expected to be published in Chemosphere in the near future. I am the first author of that paper. It includes the RfDs for the extreme outlier compounds.
DOI: 10.17632/j6my2dfyxy.2
title: Published RfDs and Molecular Descriptors

description: This dataset contains chronic non-cancer oral reference doses (RfDs) and molecular descriptors as starting data used to derive results expected to be published in Chemosphere in the near future. I am the first author of that paper. It includes the RfDs for the extreme outlier compounds.
DOI: 10.17632/t8ns6fdky2.3
title: MASEM Dataset on Educational AI Technology Adoption among Students（from 2020 to June 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: 10.17632/rgtf8whd3b.1
title: Chikungunya and dengue outbreak 2024, Brazil

description: Dataset from dengue and chikungunya outbreak in 2024, Brazil.
DOI: 10.17632/6th6y85gxt
title: Performance of ICP-TOF-MS for ultra-trace element analyses in ice cores - Publication data Münster et al., JAAS, 2025

description: Description of the data set can be found in the open access publication: 
Münster et al. (2025). Performance of ICP-TOF-MS for ultra-trace element analyses in ice cores. Journal of Analytical Atomic Spectrometry.
Provided here is the data not provided in tables or text but shown in figures therein. If using this data, please cite the above publication.
DOI: 10.17632/6th6y85gxt.1
title: Performance of ICP-TOF-MS for ultra-trace element analyses in ice cores - Publication data Münster et al., JAAS, 2025

description: Description of the data set can be found in the open access publication: 
Münster et al. (2025). Performance of ICP-TOF-MS for ultra-trace element analyses in ice cores. Journal of Analytical Atomic Spectrometry.
Provided here is the data not provided in tables or text but shown in figures therein. If using this data, please cite the above publication.
DOI: 10.17632/ntjrn323p5.1
title: Shape-Level Guided-Drawing Dataset of Jordanian Children Aged 6–11 Years (n=216)

description: We present Drawit\_dataset.csv, the first open, shape-level guided-drawing corpus from Arabic-speaking children. 
The table contains **216 rows × 84 columns** of raw records auto-logged while each participant (6–11 y; 53 \% female) completed Drawit v2.1 on Samsung Galaxy Tab A7 tablets. 
Columns cover demographics, 11 body-part shape IDs, six free-text rank fields, and **24 binary affect/personality labels** assigned by three licensed child psychologists (Fleiss \(\kappa=0.82\)). 
A companion spreadsheet, **final\_results.xlsx**, reproduces headline descriptive statistics; scientific value resides in the dataset itself.
DOI: 10.17632/g5kg2yygb9
title: Supplemental material

description: Tables S1-S9
DOI: 10.17632/g5kg2yygb9.1
title: Supplemental material

description: Tables S1-S9
DOI: 10.17632/zwpy9tsmvw
title: Cleansed Data

description: The dataset comprises responses from 115 undergraduate students on the Perceived Stress Scale (PSS), Spiritual Well-Being Scale (SWBS), and Academic Resilience Scale (ARS-30). Each participant is assigned a unique anonymized identifier, and the dataset includes demographic variables such as age and gender. The Excel file provides cleaned, item-level responses for all three scales, allowing for detailed analysis, replication of findings, and secondary research on the relationships between perceived stress, spiritual well-being, and academic resilience among undergraduates. All data have been fully anonymized to ensure participant confidentiality and comply with ethical research standards.
DOI: 10.17632/zwpy9tsmvw.1
title: Cleansed Data

description: The dataset comprises responses from 115 undergraduate students on the Perceived Stress Scale (PSS), Spiritual Well-Being Scale (SWBS), and Academic Resilience Scale (ARS-30). Each participant is assigned a unique anonymized identifier, and the dataset includes demographic variables such as age and gender. The Excel file provides cleaned, item-level responses for all three scales, allowing for detailed analysis, replication of findings, and secondary research on the relationships between perceived stress, spiritual well-being, and academic resilience among undergraduates. All data have been fully anonymized to ensure participant confidentiality and comply with ethical research standards.
DOI: 10.15468/dl.d76qph
title: Occurrence Download

description: A dataset containing 35 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CO'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 3071171 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 3071171 OR CAST(occurrence.kingdomkey AS INTEGER) = 3071171 OR CAST(occurrence.phylumkey AS INTEGER) = 3071171 OR CAST(occurrence.classkey AS INTEGER) = 3071171 OR CAST(occurrence.orderkey AS INTEGER) = 3071171 OR CAST(occurrence.familykey AS INTEGER) = 3071171 OR CAST(occurrence.genuskey AS INTEGER) = 3071171 OR CAST(occurrence.specieskey AS INTEGER) = 3071171)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 35 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050387-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wr35psgbpy.1
title: Effect of Information Disclosure Reform on Market Stability: Evidence from the Housing Market in Taiwan

description: This package provides synthetic (partial) data examples. The datasets are available from the official sources cited in the paper (title: Effect of Information Disclosure Reform on Market Stability: Evidence from the Housing Market in Taiwan).

Files included three files: 01_data_synthetic, 02_main_analysis.do, and 03_README.txt.

Instructions: 
1. Open Stata
2. Run "02_main_analysis.do"
3. The script will generate the main results for the existing-home mortgage market
DOI: 10.17632/j29k64gbx3
title: S1_Simio 14 file for the simulation of a torch assembly

description: The left- and right-handed process charts were encoded into discrete event models within Simio 14, representing the assembly workflow of the torch components.
DOI: 10.17632/j29k64gbx3.1
title: S1_Simio 14 file for the simulation of a torch assembly

description: The left- and right-handed process charts were encoded into discrete event models within Simio 14, representing the assembly workflow of the torch components.