cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zdzv9pm83b.1
title: Sulfammox driving sulfate reduction and thioarsenate formation in groundwater: evidence from multiple isotopes

description: Abstract: The mechanisms governing sulfur cycling and its impacts on arsenic speciation and enrichment in groundwater remain poorly understood. This gap was investigated by using multi-sulfur isotopes (including δ34S-SO4 and δ34S-H2S), nitrogen isotopes (δ15N-NH4), and molecular characteristics of dissolved organic matter (DOM) in high-arsenic groundwater from the Datong Basin, China. Results show a concurrent increase in total arsenic concentrations (from 0.14 to 700 μg/L) and thioarsenate proportions (up to 92%) from the alluvial fan (Zone I) to the flat plain (Zone III). This trend was accompanied by increased H2S concentrations (from &lt;1 μg/L to 2920 μg/L) and δ34S-SO4 (from 2.2‰ to 64.5‰), but decreasing DOC/NH4+ molar ratios. The significantly negative correlations between DOC/NH4+ molar ratios and H2S concentrations and δ34S-SO4 values supported sulfate-driven anaerobic ammonium oxidation (Sulfammox) as a key SO42- reduction pathway. This process was prominent in Zone III with limited DOM biodegradability, low DOC/NH4+ molar ratio, and high NH4+/SO42- molar ratios. High H2S concentration in Zone III was responsible for elevated arsenic concentrations and high proportions of thioarsenates. These findings were the first to highlight the critical role of NH4+ acting as electron donors in promoting Sulfammox processes in groundwaters, elucidating a novel mechanism of arsenic enrichment in groundwater.
Datasets on groundwater geochemistry, thioarsenate species, multi-sulfur and nitrogen isotope values, and FT-ICR MS results.
DOI: 10.17632/94cg5bz9b9
title: Human Plantar Pressure and Ground Reaction Force/Moment Dataset

description: This dataset is a Human Plantar Pressure and Ground Reaction Force/Moment Dataset. It consists of three compressed files: the first one is Raw Dataset.zip, the second one is the Dataset Processing folder, and the third one is the Processed Dataset.
In the processed dataset, the first column is timestamp, and columns 2 to 21 store pressure sensor data corresponding to 20 data collection points. Columns 22 to 25 are labeled support, which represents support information, where 1 denotes left foot support, 2 denotes right foot support, 3 denotes bilateral foot support, and 4 denotes double feet off the ground. Columns 26 to 33 correspond to Fx, Fy, Fz, Mx, My, Mz, COP_x and COP_y respectively. The processed dataset can be generated by executing the codes in the Dataset Processing folder on Raw Dataset.zip.
Raw Dataset.zip includes the raw data of both left and right feet, covering the complete data of the two feet. The sensor layout spans four weight-bearing regions of the foot: the heel region (sensors 3, 4, 9, 10), the arch region (sensors 5, 6, 11, 12, 15, 16), the forefoot region (sensors 1, 7, 13, 17) and the toe region (sensors 2, 8, 14, 18), with a total of 36 data collection points.
Due to time constraints, the current processed dataset only contains half the data volume of the raw dataset. For the full version of the processed dataset, users can run the codes in the Dataset Processing folder for data processing.
DOI: 10.5281/zenodo.14191208
title: Phenotypic, weather, soil, and imputed genomic data for the apple REFPOP

description: Supporting datasets for the article "Integrative multi-environmental genomic prediction in apple" by Jung et al. (2025) Horticulture Research, https://doi.org/10.1093/hr/uhae319.

Pheno_raw.xlsx – Eleven traits were assessed during up to five years from 2018 to 2022 (Year) at up to five locations* (Country). The traits evaluated were floral emergence (Flowering_begin), flowering intensity (Flowering_intensity), harvest date (Harvest_date), total fruit weight (Fruit_weight), fruit number (Fruit_number), single fruit weight (Fruit_weight_single), titratable acidity (Acidity), soluble solids content (Sugar), fruit firmness (Firmness), red over color (Color_over), and russet frequency (Russet_freq_all).

Weather_raw.xlsx – Hourly measurements from 2018 to 2022 (Date) of temperature (Temperature), relative humidity (Humidity), and global radiation (Radiation) were obtained at five locations* (Location).

Soil_raw.xlsx – Soil characteristics (Variable) were measured at five locations* (Group.1) and two soil depths (Group.2) in 2016.

SNPs_final_2022.bed, SNPs_final_2022.bim, SNPs_final_2022.fam – imputed genomic dataset of 303,239 biallelic SNPs in the PLINK format.

*The locations correspond to Belgium (BEL), Switzerland (CHE), Spain (ESP), France (FRA) and Italy (ITA).
DOI: 10.5281/zenodo.14191209
title: Phenotypic, weather, soil, and imputed genomic data for the apple REFPOP

description: Supporting datasets for the article "Integrative multi-environmental genomic prediction in apple" by Jung et al. (2025) Horticulture Research, https://doi.org/10.1093/hr/uhae319.

Pheno_raw.xlsx – Eleven traits were assessed during up to five years from 2018 to 2022 (Year) at up to five locations* (Country). The traits evaluated were floral emergence (Flowering_begin), flowering intensity (Flowering_intensity), harvest date (Harvest_date), total fruit weight (Fruit_weight), fruit number (Fruit_number), single fruit weight (Fruit_weight_single), titratable acidity (Acidity), soluble solids content (Sugar), fruit firmness (Firmness), red over color (Color_over), and russet frequency (Russet_freq_all).

Weather_raw.xlsx – Hourly measurements from 2018 to 2022 (Date) of temperature (Temperature), relative humidity (Humidity), and global radiation (Radiation) were obtained at five locations* (Location).

Soil_raw.xlsx – Soil characteristics (Variable) were measured at five locations* (Group.1) and two soil depths (Group.2) in 2016.

SNPs_final_2022.bed, SNPs_final_2022.bim, SNPs_final_2022.fam – imputed genomic dataset of 303,239 biallelic SNPs in the PLINK format.

*The locations correspond to Belgium (BEL), Switzerland (CHE), Spain (ESP), France (FRA) and Italy (ITA).
DOI: 10.17632/94cg5bz9b9.1
title: Human Plantar Pressure and Ground Reaction Force/Moment Dataset

description: This dataset is a Human Plantar Pressure and Ground Reaction Force/Moment Dataset. It consists of three compressed files: the first one is Raw Dataset.zip, the second one is the Dataset Processing folder, and the third one is the Processed Dataset.
In the processed dataset, the first column is timestamp, and columns 2 to 21 store pressure sensor data corresponding to 20 data collection points. Columns 22 to 25 are labeled support, which represents support information, where 1 denotes left foot support, 2 denotes right foot support, 3 denotes bilateral foot support, and 4 denotes double feet off the ground. Columns 26 to 33 correspond to Fx, Fy, Fz, Mx, My, Mz, COP_x and COP_y respectively. The processed dataset can be generated by executing the codes in the Dataset Processing folder on Raw Dataset.zip.
Raw Dataset.zip includes the raw data of both left and right feet, covering the complete data of the two feet. The sensor layout spans four weight-bearing regions of the foot: the heel region (sensors 3, 4, 9, 10), the arch region (sensors 5, 6, 11, 12, 15, 16), the forefoot region (sensors 1, 7, 13, 17) and the toe region (sensors 2, 8, 14, 18), with a total of 36 data collection points.
Due to time constraints, the current processed dataset only contains half the data volume of the raw dataset. For the full version of the processed dataset, users can run the codes in the Dataset Processing folder for data processing.
DOI: 10.17632/k8pp8cbp8k
title: Hibiscus Leaf Diseases Classification Dataset

description: The Hibiscus Leaf Diseases Classification Dataset features 1,777 high-quality JPEG images (560×420 pixels) of hibiscus leaves, collected from a variety of locations across Bangladesh, including Dhaka, Khulna, Rajshahi, and other diverse growing regions. The dataset was created to help classify leaves into eight categories based on their condition: Healthy (478 images), Mild Edge Damage (444), Citruspot (150), Slidely Disease (109), Early Mild Spotting (163), Fungal Infected (52), Senescent (326), and Wrinkled (55). These images were captured in natural outdoor lighting using both smartphones and DSLR cameras, offering a realistic and varied visual set. By reflecting the natural diversity and challenges found in the field, this dataset provides a practical and valuable foundation for researchers and developers working on plant disease detection, image classification, and innovative agriculture tools.
DOI: 10.17632/k8pp8cbp8k.3
title: Hibiscus Leaf Diseases Classification Dataset

description: The Hibiscus Leaf Diseases Classification Dataset features 1,777 high-quality JPEG images (560×420 pixels) of hibiscus leaves, collected from a variety of locations across Bangladesh, including Dhaka, Khulna, Rajshahi, and other diverse growing regions. The dataset was created to help classify leaves into eight categories based on their condition: Healthy (478 images), Mild Edge Damage (444), Citruspot (150), Slidely Disease (109), Early Mild Spotting (163), Fungal Infected (52), Senescent (326), and Wrinkled (55). These images were captured in natural outdoor lighting using both smartphones and DSLR cameras, offering a realistic and varied visual set. By reflecting the natural diversity and challenges found in the field, this dataset provides a practical and valuable foundation for researchers and developers working on plant disease detection, image classification, and innovative agriculture tools.
DOI: 10.17632/rp9wgsgsg5
title: Data from: Fewer fires, greater risk: Increasing spatial dispersion of wildfires at the wildland-agriculture interface in Croatia

description: Data from: Fewer fires, greater risk: Increasing spatial dispersion of wildfires at the wildland-agriculture interface in Croatia
DOI: 10.17632/rp9wgsgsg5.1
title: Data from: Fewer fires, greater risk: Increasing spatial dispersion of wildfires at the wildland-agriculture interface in Croatia

description: Data from: Fewer fires, greater risk: Increasing spatial dispersion of wildfires at the wildland-agriculture interface in Croatia
DOI: 10.17026/ar/lgouxf
title: Bouwhistorische deelopname Houten Plein 22

description: Deelonderzoek naar een 18e-eeuwse muur. Oorspronkelijk de achtergevel maar nu een binnenmuur tussen het voorste- en achterste deel van het pand.
DOI: 10.17632/kcyd3bw492
title: Knowledge management data set

description: This data set contains quantitative data of the survey that was conducted to analyze the role and dynamics of tacit knowledge in an organizational setting. A structural questionnaire was used to collect the data by seeking to capture the perceptions and experience of the respondents as well as their behavioral tendencies with regards to tacit knowledge creation, sharing and use.

The ultimate data set will comprise the answers to a heterogeneous sample of the participants, and will be made up of numerous measurement items, which will be operationalized on the Likert-type scale. The constructs were all modified based on other constructs that have been tested before to make them content valid and reliable. Before the analysis, the data were filtered regarding the absent values, outliers, and normality.

The dataset is appropriate in using advanced statistical analyses, such as testing reliability, exploratory and confirmatory factor analysis, and structural equation modeling. It offers a solid empirical basis on exploring tacit knowledge processes and implication of the same on organizational performance.
DOI: 10.17632/kcyd3bw492.1
title: Knowledge management data set

description: This data set contains quantitative data of the survey that was conducted to analyze the role and dynamics of tacit knowledge in an organizational setting. A structural questionnaire was used to collect the data by seeking to capture the perceptions and experience of the respondents as well as their behavioral tendencies with regards to tacit knowledge creation, sharing and use.

The ultimate data set will comprise the answers to a heterogeneous sample of the participants, and will be made up of numerous measurement items, which will be operationalized on the Likert-type scale. The constructs were all modified based on other constructs that have been tested before to make them content valid and reliable. Before the analysis, the data were filtered regarding the absent values, outliers, and normality.

The dataset is appropriate in using advanced statistical analyses, such as testing reliability, exploratory and confirmatory factor analysis, and structural equation modeling. It offers a solid empirical basis on exploring tacit knowledge processes and implication of the same on organizational performance.
DOI: 10.17632/j3n67wwb5s
title: The need for certainty versus the subjectivity of memories: Examining trauma narratives in Rohini Mohan’s The Seasons of Trouble

description: References
DOI: 10.17632/j3n67wwb5s.1
title: The need for certainty versus the subjectivity of memories: Examining trauma narratives in Rohini Mohan’s The Seasons of Trouble

description: References
DOI: 10.17632/bgmzr5rfjt
title: Sources, Sinks, and Isotopic Fractionation of Antimony in a Karst Catchment: Constraints on Multi-media Migration and Biogeochemical Cycling

description: This study aims to explore sources, sinks, and isotopic fractionation of antimony in a karst catchment.We monitored the input and output fluxes of antimony within the catchment, and conducted analysis and testing on the major trace elements and antimony isotope composition of the forest and farmland profiles. We also tested the antimony content and its isotope composition in different water bodies within the forest area.This study clarified the source-sink relationship of Sb in the karst catchment by monitoring the input flux and output flux of Sb. Combined with Sb isotope tracing technology and other geochemical methods, the Sb sources in rainfall and atmospheric particles were identified, the migration and controlling factors of Sb in forest and farmland soil profiles were analyzed in depth, and the redistribution effects of the canopy and litter layers within the forest ecosystem on Sb in rainfall were discussed.Research findings provide important scientific insights into the geochemical cycling of Sb at the catchment scale in karst regions, meanwhile demonstrating the significant advantages of Sb stable isotopes in tracing material sources and processes within complex environments.
DOI: 10.17632/bgmzr5rfjt.2
title: Sources, Sinks, and Isotopic Fractionation of Antimony in a Karst Catchment: Constraints on Multi-media Migration and Biogeochemical Cycling

description: This study aims to explore sources, sinks, and isotopic fractionation of antimony in a karst catchment.We monitored the input and output fluxes of antimony within the catchment, and conducted analysis and testing on the major trace elements and antimony isotope composition of the forest and farmland profiles. We also tested the antimony content and its isotope composition in different water bodies within the forest area.This study clarified the source-sink relationship of Sb in the karst catchment by monitoring the input flux and output flux of Sb. Combined with Sb isotope tracing technology and other geochemical methods, the Sb sources in rainfall and atmospheric particles were identified, the migration and controlling factors of Sb in forest and farmland soil profiles were analyzed in depth, and the redistribution effects of the canopy and litter layers within the forest ecosystem on Sb in rainfall were discussed.Research findings provide important scientific insights into the geochemical cycling of Sb at the catchment scale in karst regions, meanwhile demonstrating the significant advantages of Sb stable isotopes in tracing material sources and processes within complex environments.
DOI: 10.17632/pfw7c2pwkn
title: Concentration of suspended particulate matter (SPM) in the water column of the Gdańsk Basin (southern Baltic Sea) in summer 2023 and winter 2024

description: Concentration of suspended particulate matter (SPM) was measured in the water column of three stations located in the Gdańsk Basin (southern Baltic Sea). Samples were collected in two seasons (July 2023 and January 2024) during a cruise aboard the RV Oceanograf (owned by the University of Gdańsk). Station depths were 52 m for MET2, 82 m for MET1-MP and MET1-REF.
DOI: 10.17632/pfw7c2pwkn.1
title: Concentration of suspended particulate matter (SPM) in the water column of the Gdańsk Basin (southern Baltic Sea) in summer 2023 and winter 2024

description: Concentration of suspended particulate matter (SPM) was measured in the water column of three stations located in the Gdańsk Basin (southern Baltic Sea). Samples were collected in two seasons (July 2023 and January 2024) during a cruise aboard the RV Oceanograf (owned by the University of Gdańsk). Station depths were 52 m for MET2, 82 m for MET1-MP and MET1-REF.
DOI: 10.17632/8cjd7chtcv
title: A Study on the Influence of GenAI use on Learning Engagement

description: This dataset examines the relationship between generative artificial intelligence use and learning engagement, based on online survey data collected from 519 students across three universities in China. The survey captured data on GenAI use, learning engagement, intrinsic motivation, AI learning support, and demographic variables. The data provides a solid foundation for examining how GenAI use affects learning engagement, thereby addressing a research gap in GenAI studies within higher education contexts. Additionally, the dataset has practical value for university educators by providing valuable insights for designing appropriate GenAI-integrated courses that promote learning autonomy among Chinese students. It also offers a basis for students themselves to independently use GenAI in their learning.
DOI: 10.17632/8cjd7chtcv.1
title: A Study on the Influence of GenAI use on Learning Engagement

description: This dataset examines the relationship between generative artificial intelligence use and learning engagement, based on online survey data collected from 519 students across three universities in China. The survey captured data on GenAI use, learning engagement, intrinsic motivation, AI learning support, and demographic variables. The data provides a solid foundation for examining how GenAI use affects learning engagement, thereby addressing a research gap in GenAI studies within higher education contexts. Additionally, the dataset has practical value for university educators by providing valuable insights for designing appropriate GenAI-integrated courses that promote learning autonomy among Chinese students. It also offers a basis for students themselves to independently use GenAI in their learning.
DOI: 10.17632/g6j4bc3m7v
title: QTNano - Single-atom catalysts on ceria substrates: Exploring cluster and surface effects on methane activation, Molecular Catalysis, 564, 114318, (2024)

description: Raw data of the published paper - https://www.sciencedirect.com/science/article/pii/S2468823124005017
DOI: 10.17632/g6j4bc3m7v.4
title: QTNano - Single-atom catalysts on ceria substrates: Exploring cluster and surface effects on methane activation, Molecular Catalysis, 564, 114318, (2024)

description: Raw data of the published paper - https://www.sciencedirect.com/science/article/pii/S2468823124005017
DOI: 10.17632/t4896mfcvz
title: QTNano - Mechanistic Insights into the Direct Partial Oxidation of Methane to Methanol Catalyzed by Single-Atom Transition Metals on Hydroxyapatite, ACS Omega, 10, 3868, (2025)

description: Raw data of the published paper - https://pubs.acs.org/doi/full/10.1021/acsomega.4c09442
DOI: 10.17632/t4896mfcvz.4
title: QTNano - Mechanistic Insights into the Direct Partial Oxidation of Methane to Methanol Catalyzed by Single-Atom Transition Metals on Hydroxyapatite, ACS Omega, 10, 3868, (2025)

description: Raw data of the published paper - https://pubs.acs.org/doi/full/10.1021/acsomega.4c09442
DOI: 10.5281/zenodo.18375504
title: LINF_320008400

description: Cilia- and flagella-associated protein 74; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18375505
title: LINF_320008400

description: Cilia- and flagella-associated protein 74; Leishmania infantum (strain JPCM5)
DOI: 10.17632/6gr4hhtgbd
title: Spot size control effectiveness in shaping film thickness distribution: nanosecond vs. femtosecond laser ablation
DOI: 10.17632/6gr4hhtgbd.1
title: Spot size control effectiveness in shaping film thickness distribution: nanosecond vs. femtosecond laser ablation
DOI: 10.17632/zht334mw4r.1
title: Bioactive compounds from Pomegranate (Punica granatum) peel extracts possess the antiviral effects against red grouper nervous necrosis virus.

description: Pomegranate peel was ground into coarse powder and extracted separately with 60% ethanol and pure water. The resulting extracts were found to possess activity against RGNNV.
DOI: 10.17632/872pjfmdjr.1
title: Replication Data for: Systematic risk profiling: Assessing compounding economic risks in developing countries

description: This repository contains the full replication package for the paper "Systematic risk profiling: Assessing compounding economic risks in developing countries."
It includes all necessary code and data to reproduce the analysis for Kenya, Rwanda, and Malawi. The package is organized into three parts following the Systematic Risk Profiling (SRP) approach:
- Sampling shock scenarios (R).
- CGE model simulations (GAMS).
- Ranking risks and generating final outputs (R).
See the included README.txt for step-by-step instructions on running the simulations and generating the tables/figures found in the manuscript.
DOI: 10.17632/4wcmck7nz6.1
title: Replication _ Does ESG Uncertainty Hinder Green Bonds? Nonlinear Evidence Across Horizons and Regimes

description: This replication package provides all data, code, and instructions required to reproduce the empirical results of the above-mentioned research paper. The study employs a wavelet-based quantile-on-quantile (QQ) regression framework to analyze the multi-scale, asymmetric, and time-varying relationship between ESG-based sustainability uncertainty and global green bond market returns. This package is designed to ensure transparency and facilitate independent verification of the statistical findings.This replication package provides all data, code, and instructions required to reproduce the empirical results of the above-mentioned research paper. The study employs a wavelet-based quantile-on-quantile (QQ) regression framework to analyze the multi-scale, asymmetric, and time-varying relationship between ESG-based sustainability uncertainty and global green bond market returns. This package is designed to ensure transparency and facilitate independent verification of the statistical findings.
DOI: 10.17632/gxmz34j83p.1
title: Urban Spatial Restructuring and Entrepreneurship: Evidence from Polycentricity

description: 1. Overview
This replication package provides all the publicly available data, code, and
instructions required to reproduce the main empirical results of the above-mentioned
research paper. The package is designed to facilitate transparency and enable
independent verification of all statistical findings reported in the study.
DOI: 10.17632/jys2rv9m7j
title: Putrescine Improves Oocyte Quality in Aged Mice by Modulating the IP3R-GRP75-VDAC1 Complex

description: data
DOI: 10.17632/jys2rv9m7j.1
title: Putrescine Improves Oocyte Quality in Aged Mice by Modulating the IP3R-GRP75-VDAC1 Complex

description: data
DOI: 10.17632/3z976yswnr
title: Global change biology

description: Supplementary Tables and Figures
DOI: 10.17632/3z976yswnr.1
title: Global change biology

description: Supplementary Tables and Figures