cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vzfyk22fhn.3
title: Student Performance Dataset in AI course

description: This dataset contains student performance records from an Artificial Intelligence (AI) course conducted at Universiti Teknologi Malaysia (UTM). The data includes various academic performance metrics and demographic details of students enrolled in the course. A non-personal Student ID column was originally included to uniquely identify each record; it did not contain any personal or sensitive information and was excluded prior to analysis to prevent data leakage. This dataset is valuable for educational data mining, machine learning applications, and predictive analytics in AI education. It can be used for AI-driven analysis of student performance, predicting academic success, and understanding factors that influence learning outcomes.
DOI: 10.17632/25r6txd45n
title: Provenance Modelling of Fossil Dinosaur Bones Using Geochemistry and Machine Learning: Source Data

description: The data presented here support the research paper “Provenance Modelling of Fossil Dinosaur Bones Using Geochemistry and Machine Learning”, intended for a submission to "Palaeoworld".

The dataset contains trace elements concentrations from fossil dinosaur bones from the Upper Cretaceous Nemegt and Djadokhta formations. 
For the analytical purposes, the dataset was divided into two subsets: the first one consisting of long bones (tibiae, femora, radii and humeri) and the other including trabecular bones (ribs and vertebrae) and metatarsals. Locality labels were used to train and evaluate several machine learning classifiers (logistic regression, random forest, AdaBoost, XGBoost) to assess the potential of bone geochemistry for provenance prediction. Feature selection was conducted on the best-performing models to identify the elements contributing the most to the model performance. These results were compared with those obtained using Linear Discriminant Analysis. 

The data are provided in CSV format in the “Data” folder. The folder “Plots and figures” contains the figures used in the manuscript, including the plots. The folder “Supplementary files” contains additional files. These files are:
- interactive HTML plot ("Element profiles.html") showing the all the concentration profiles across each analysed sample, including the ones measured along several profiles
- concentration profiles presented in a PDF file ("All profiles.pdf")
- XLSX file with the statistical summary of the data ("Data description WK.xlsx")
- LDA scalings in CSV file ("LDA scalings.csv")
- The tables comparing predictions and performance of the algorithms using test part of each subset ("Predictions and accuracy.xlsx")
Besides that, the Jupyter Notebook with data analysis is also provided ("Bones from Gobi - loc prediction.ipynb").
DOI: 10.17632/25r6txd45n.7
title: Provenance Modelling of Fossil Dinosaur Bones Using Geochemistry and Machine Learning: Source Data

description: The data presented here support the research paper “Provenance Modelling of Fossil Dinosaur Bones Using Geochemistry and Machine Learning”, intended for a submission to "Palaeoworld".

The dataset contains trace elements concentrations from fossil dinosaur bones from the Upper Cretaceous Nemegt and Djadokhta formations. 
For the analytical purposes, the dataset was divided into two subsets: the first one consisting of long bones (tibiae, femora, radii and humeri) and the other including trabecular bones (ribs and vertebrae) and metatarsals. Locality labels were used to train and evaluate several machine learning classifiers (logistic regression, random forest, AdaBoost, XGBoost) to assess the potential of bone geochemistry for provenance prediction. Feature selection was conducted on the best-performing models to identify the elements contributing the most to the model performance. These results were compared with those obtained using Linear Discriminant Analysis. 

The data are provided in CSV format in the “Data” folder. The folder “Plots and figures” contains the figures used in the manuscript, including the plots. The folder “Supplementary files” contains additional files. These files are:
- interactive HTML plot ("Element profiles.html") showing the all the concentration profiles across each analysed sample, including the ones measured along several profiles
- concentration profiles presented in a PDF file ("All profiles.pdf")
- XLSX file with the statistical summary of the data ("Data description WK.xlsx")
- LDA scalings in CSV file ("LDA scalings.csv")
- The tables comparing predictions and performance of the algorithms using test part of each subset ("Predictions and accuracy.xlsx")
Besides that, the Jupyter Notebook with data analysis is also provided ("Bones from Gobi - loc prediction.ipynb").
DOI: 10.17632/296rrxhcgc
title: A comprehensive high-resolution (~160 m) atmospheric water vapor database for Mars' north polar region from MRO/CRISM

description: Dr. Khayat et al. used hyperspectral observations returned from the Mars Reconnaissance Orbiter's (MRO) Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) to provide the first high-spatial resolution (~ 160 m) retrievals of water vapor over the north polar region (latitudes &gt; 75 °N). The data results extend between MY 28, Ls = 113° (September 29, 2006) and MY 31, Ls = 115° (May 21, 2012). 
The data here accompany the manuscript "Tracking the Non-uniformity in Atmospheric Water Vapor Over the North Polar Layered Deposits on Mars Using High-Resolution Observations by MRO/CRISM" by Alain SJ. Khayat, Michael D. Smith, and Scott D. Guzewich, accepted by the Journal Icarus.
 
The file "CRISM_water_vapor_high_res.dat“ is an ASCII table of the CRISM climatology of water vapor. It includes the following information: West longitude, latitude, MOLA elevation (km), season (Ls), and the water vapor's total integrated-column abundance in precipitable microns, using the water vapor band centered around 1350 nm.
DOI: 10.17632/296rrxhcgc.1
title: A comprehensive high-resolution (~160 m) atmospheric water vapor database for Mars' north polar region from MRO/CRISM

description: Dr. Khayat et al. used hyperspectral observations returned from the Mars Reconnaissance Orbiter's (MRO) Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) to provide the first high-spatial resolution (~ 160 m) retrievals of water vapor over the north polar region (latitudes &gt; 75 °N). The data results extend between MY 28, Ls = 113° (September 29, 2006) and MY 31, Ls = 115° (May 21, 2012). 
The data here accompany the manuscript "Tracking the Non-uniformity in Atmospheric Water Vapor Over the North Polar Layered Deposits on Mars Using High-Resolution Observations by MRO/CRISM" by Alain SJ. Khayat, Michael D. Smith, and Scott D. Guzewich, accepted by the Journal Icarus.
 
The file "CRISM_water_vapor_high_res.dat“ is an ASCII table of the CRISM climatology of water vapor. It includes the following information: West longitude, latitude, MOLA elevation (km), season (Ls), and the water vapor's total integrated-column abundance in precipitable microns, using the water vapor band centered around 1350 nm.
DOI: 10.17632/bgz9873fsv
title: Datasets

description: Supplementary material and data for Mbabane city study
DOI: 10.17632/bgz9873fsv.1
title: Datasets

description: Supplementary material and data for Mbabane city study
DOI: 10.17632/3r8b96wgc9
title: Household Food Security in Eastern Zambia

description: The data was collected from 761 households in Eastern Zambia. The survey focused on multi-dimensional indicators of household food security.
DOI: 10.17632/3r8b96wgc9.1
title: Household Food Security in Eastern Zambia

description: The data was collected from 761 households in Eastern Zambia. The survey focused on multi-dimensional indicators of household food security.
DOI: 10.17632/9w43sg73bt
title: Data for: An IoT-Based Multi-Sensor Monitoring System with LoRaWAN for Landslide Early Detection in Risk-Prone Areas

description: This dataset contains raw sensor readings (soil moisture, vibration, inclination) from the developed LoRaWAN-based landslide monitoring system. The source code for the Transmission Node and Gateway is also included.
DOI: 10.17632/9w43sg73bt.1
title: Data for: An IoT-Based Multi-Sensor Monitoring System with LoRaWAN for Landslide Early Detection in Risk-Prone Areas

description: This dataset contains raw sensor readings (soil moisture, vibration, inclination) from the developed LoRaWAN-based landslide monitoring system. The source code for the Transmission Node and Gateway is also included.
DOI: 10.17632/75cdzmmh4s
title: Scale Economies in European Trade

description: This page includes the raw data and the STATA do files needed to replicate the paper "Scale Economies in European Trade"
DOI: 10.17632/75cdzmmh4s.1
title: Scale Economies in European Trade

description: This page includes the raw data and the STATA do files needed to replicate the paper "Scale Economies in European Trade"
DOI: 10.17632/g9j6z92gz8
title: Supplementary material

description: Supplementary material for " Land Consumption Computation for SDG 11.3.1 for Mbabane City, Eswatini" manuscript
DOI: 10.17632/g9j6z92gz8.1
title: Supplementary material

description: Supplementary material for " Land Consumption Computation for SDG 11.3.1 for Mbabane City, Eswatini" manuscript
DOI: 10.5281/zenodo.17790330
title: Datasets for "Machine-Learned Electrostatic Potentials for Accurate Hydration Free Energy Calculations"
DOI: 10.5281/zenodo.17790331
title: Datasets for "Machine-Learned Electrostatic Potentials for Accurate Hydration Free Energy Calculations"
DOI: 10.17632/kfv7wb2sc7
title: DPP3 MD and ASMD simulations

description: Utilizing computational studies, primarily involving molecular dynamics (MD) and adaptive steered molecular dynamics (ASMD) simulations, we investigate how catalytic inactivation of DPP3 influences the structural basis of its interaction with the Kelch domain. Specifically, our computational studies of both the wild type (WT) and E451A mutant of DPP3, in the presence and absence of the peptide inhibitor (IVYPW), have identified key structural differences between bound and unbound states, assessing their implications for Kelch domain binding. ASMD simulations provided insights into how DPP3 inactivation, either via mutation or peptidase inhibitor binding, affects the detachment of the ETGE-loop, a step considered rate-determining in the two-step Keap1-DPP3 binding mechanism.

Structures of DPP3—both ligand-free and with the IVYPW ligand bound in the active site of the WT and E451A mutant in its closed form—generated every 100 ns during a 1-microsecond-long standard MD simulation are provided in pdb format (without solvent). The input file used for productive MD simulation is also provided.

Structures of WT and E451A-mutated DPP3, in either closed (not additionally highlighted) or open (designated with an 'o' before the enzyme name) conformations, generated after each ASMD step as the structures closest to the Jarzynski average using a pulling speed of 0.5 Å/ns are provided. In addition to the ligand-free structures, structures of the complexes with IVYPW are also included.

An example of the input file used for ASMD simulations at each phase of the DPP3 structure, along with the corresponding restraint files for each phase, is provided.
DOI: 10.17632/kfv7wb2sc7.1
title: DPP3 MD and ASMD simulations

description: Utilizing computational studies, primarily involving molecular dynamics (MD) and adaptive steered molecular dynamics (ASMD) simulations, we investigate how catalytic inactivation of DPP3 influences the structural basis of its interaction with the Kelch domain. Specifically, our computational studies of both the wild type (WT) and E451A mutant of DPP3, in the presence and absence of the peptide inhibitor (IVYPW), have identified key structural differences between bound and unbound states, assessing their implications for Kelch domain binding. ASMD simulations provided insights into how DPP3 inactivation, either via mutation or peptidase inhibitor binding, affects the detachment of the ETGE-loop, a step considered rate-determining in the two-step Keap1-DPP3 binding mechanism.

Structures of DPP3—both ligand-free and with the IVYPW ligand bound in the active site of the WT and E451A mutant in its closed form—generated every 100 ns during a 1-microsecond-long standard MD simulation are provided in pdb format (without solvent). The input file used for productive MD simulation is also provided.

Structures of WT and E451A-mutated DPP3, in either closed (not additionally highlighted) or open (designated with an 'o' before the enzyme name) conformations, generated after each ASMD step as the structures closest to the Jarzynski average using a pulling speed of 0.5 Å/ns are provided. In addition to the ligand-free structures, structures of the complexes with IVYPW are also included.

An example of the input file used for ASMD simulations at each phase of the DPP3 structure, along with the corresponding restraint files for each phase, is provided.
DOI: 10.17632/zw62vgg6g6
title: Data from GCA article "Hydrothermal experiments reveal methanol, ammonia, and methylamines as tracers of pH and temperature with potential application to Enceladus, Europa, and other icy ocean worlds"

description: Abstract: Icy ocean worlds in our solar system are prime targets in the search for extraterrestrial life. Enceladus and Europa are icy moons with evidence of global subsurface oceans in contact with rocky interiors, which may provide habitable environments for chemotrophic life. However, the interaction between water and rock and any changes in fluid chemistry are poorly constrained because the icy shells of these moons inhibit direct sampling of subsurface aqueous environments. Characterization of subseafloor processes may depend on chemical signatures in materials that are transported to accessible sampling locations near the surfaces of these icy ocean worlds. Here we present a theoretical framework where organic compounds likely to be present at icy ocean worlds can be utilized as tracers of geochemistry if they approach metastable equilibrium abundances, which we test with laboratory experiments. We use thermodynamic calculations of aqueous solutions to demonstrate that abundances of methanol, ammonia, and methylamines (compounds selected based on Enceladus’ plume data) should approach steady state ratios based on reversible substitution reactions that are systematically controlled by pH and temperature. We test these calculations by performing laboratory hydrothermal experiments ranging in temperature (175-325℃) and pH (~3.5-7.0), demonstrating that chemical concentration measurements alone can be used in predictive models to accurately constrain the different conditions across experimental systems. As examples, with experiments conducted at 250℃, we demonstrate that the chemical tracers in a pH ~3.5 solution predict a pH ≤ ~5.0 and a temperature of ~225-250℃, while the tracers in a solution at pH ~7.0 predict a pH of ~6.0-7.5 and a temperature of ~200-275℃. Notably, all of our high-temperature experiments are cooled to room temperature prior to analysis, indicating that the hydrothermal signal (i.e., the ratio of chemical species) is preserved due to the slowing of reaction kinetics at lower temperatures, which may be analogous to hydrothermal fluids that vent into icy oceans. Similarly, we also performed a partial-cooling experiment that shows a tracer signal produced at 325℃ remains unaltered for a year after the experiment was cooled to 175℃. We compare experimental results from gold reaction vessels to experiments previously conducted in glass vessels to assess the effects of experimental container type and find only minor differences in product distributions over time. Overall, our findings provide additional motivation to target small organic molecules for analysis on future missions to icy ocean worlds in order to constrain subsurface geochemical parameters critical to habitability.
DOI: 10.17632/zw62vgg6g6.1
title: Data from GCA article "Hydrothermal experiments reveal methanol, ammonia, and methylamines as tracers of pH and temperature with potential application to Enceladus, Europa, and other icy ocean worlds"

description: Abstract: Icy ocean worlds in our solar system are prime targets in the search for extraterrestrial life. Enceladus and Europa are icy moons with evidence of global subsurface oceans in contact with rocky interiors, which may provide habitable environments for chemotrophic life. However, the interaction between water and rock and any changes in fluid chemistry are poorly constrained because the icy shells of these moons inhibit direct sampling of subsurface aqueous environments. Characterization of subseafloor processes may depend on chemical signatures in materials that are transported to accessible sampling locations near the surfaces of these icy ocean worlds. Here we present a theoretical framework where organic compounds likely to be present at icy ocean worlds can be utilized as tracers of geochemistry if they approach metastable equilibrium abundances, which we test with laboratory experiments. We use thermodynamic calculations of aqueous solutions to demonstrate that abundances of methanol, ammonia, and methylamines (compounds selected based on Enceladus’ plume data) should approach steady state ratios based on reversible substitution reactions that are systematically controlled by pH and temperature. We test these calculations by performing laboratory hydrothermal experiments ranging in temperature (175-325℃) and pH (~3.5-7.0), demonstrating that chemical concentration measurements alone can be used in predictive models to accurately constrain the different conditions across experimental systems. As examples, with experiments conducted at 250℃, we demonstrate that the chemical tracers in a pH ~3.5 solution predict a pH ≤ ~5.0 and a temperature of ~225-250℃, while the tracers in a solution at pH ~7.0 predict a pH of ~6.0-7.5 and a temperature of ~200-275℃. Notably, all of our high-temperature experiments are cooled to room temperature prior to analysis, indicating that the hydrothermal signal (i.e., the ratio of chemical species) is preserved due to the slowing of reaction kinetics at lower temperatures, which may be analogous to hydrothermal fluids that vent into icy oceans. Similarly, we also performed a partial-cooling experiment that shows a tracer signal produced at 325℃ remains unaltered for a year after the experiment was cooled to 175℃. We compare experimental results from gold reaction vessels to experiments previously conducted in glass vessels to assess the effects of experimental container type and find only minor differences in product distributions over time. Overall, our findings provide additional motivation to target small organic molecules for analysis on future missions to icy ocean worlds in order to constrain subsurface geochemical parameters critical to habitability.
DOI: 10.5281/zenodo.15726961
title: Dataset for: High Resolution Overtone Spectroscopy of HNC+ and HCN+

description: Dataset for paper "High Resolution Overtone Spectroscopy of HNC+ and HCN+" accepted in Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy.

Under: DOI: 10.1016/j.saa.2025.127359
DOI: 10.5281/zenodo.15726960
title: Dataset for: High Resolution Overtone Spectroscopy of HNC+ and HCN+

description: Dataset for paper "High Resolution Overtone Spectroscopy of HNC+ and HCN+" accepted in Spectrochimica Acta Part A:Molecular and Biomolecular Spectroscopy.

Under: DOI: 10.1016/j.saa.2025.127359
DOI: 10.15468/dl.xg7rub
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Petrocosmea umbelliformis"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053682-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17940490
title: ARTIFICIAL INTELLIGENCE–BASED 3D MODEL GENERATION FOR ARCHITECTURAL DESIGN: A REVIEW OF CURRENT APPROACHES

description: The advancement of deep learning methods and generative artificial intelligence opens new opportunities for the automated generation of three-dimensional building models. Contemporary research aims to generate entire buildings—from massing to facades and floor plans—utilizing technologies such as GANs, diffusion models, transformers, and LLMs, as well as 3D neural networks (VoxelNet, 3D-GAN) and rule-based systems (shape grammars). This review examines key approaches and tools, including their integration with platforms like Rhino/Grasshopper, Revit, Blender, and others. Emphasis is placed on technical aspects (form generation, parameterization, automation, variability), while ethical and legal issues remain outside the scope of this study. The paper presents method comparisons (including a comparative table) and discusses the limitations and prospects for the further development of architectural 3D model generation.
DOI: 10.5281/zenodo.17940491
title: ARTIFICIAL INTELLIGENCE–BASED 3D MODEL GENERATION FOR ARCHITECTURAL DESIGN: A REVIEW OF CURRENT APPROACHES

description: The advancement of deep learning methods and generative artificial intelligence opens new opportunities for the automated generation of three-dimensional building models. Contemporary research aims to generate entire buildings—from massing to facades and floor plans—utilizing technologies such as GANs, diffusion models, transformers, and LLMs, as well as 3D neural networks (VoxelNet, 3D-GAN) and rule-based systems (shape grammars). This review examines key approaches and tools, including their integration with platforms like Rhino/Grasshopper, Revit, Blender, and others. Emphasis is placed on technical aspects (form generation, parameterization, automation, variability), while ethical and legal issues remain outside the scope of this study. The paper presents method comparisons (including a comparative table) and discusses the limitations and prospects for the further development of architectural 3D model generation.
DOI: 10.17632/3vx4njgtc4
title: Supplemental Material for Germline Cancer Susceptibility Gene Testing in Unselected Patients with Malignant Melanoma: A Multicenter Prospective Study

description: Supplemental Material for Germline Cancer Susceptibility Gene Testing in Unselected Patients with Malignant Melanoma: A Multicenter Prospective Study
DOI: 10.17632/3vx4njgtc4.1
title: Supplemental Material for Germline Cancer Susceptibility Gene Testing in Unselected Patients with Malignant Melanoma: A Multicenter Prospective Study

description: Supplemental Material for Germline Cancer Susceptibility Gene Testing in Unselected Patients with Malignant Melanoma: A Multicenter Prospective Study
DOI: 10.34740/kaggle/dsv/14165709
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.z8x4vb
title: Occurrence Download

description: A dataset containing 20228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34.35 -9.701,35.57051 -9.701,36.53 -9.701,36.53 -8.086,34.35 -8.086,34.35 -9.701))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2002-2022"
 ]
}

 The dataset includes 20228 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053683-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16836131
title: Bioclimatic Variable Outputs for Ireland from Observed and Projected Climate Data

description: This dataset contains the final bioclimatic variable outputs (TIFF files) for Ireland, generated using the code and workflows provided in a separate Zenodo record: 10.5281/zenodo.16835656