cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9p8jb3zrnb.1
title: Surrogate Model-Assisted Machine Learning Optimization of Chemical Vapor Deposition for Enhanced Film Deposition Rate and Uniformity

description: Research Hypothesis:
This research hypothesizes that a machine learning–assisted optimization framework can significantly enhance the efficiency and accuracy of optimizing key performance indicators—film deposition rate and thickness uniformity—in a Chemical Vapor Deposition (CVD) system. By leveraging XGBoost-predicted outputs and constructing surrogate models, it is possible to identify optimal process conditions with substantially reduced computational cost compared to direct CFD-based optimization.

What the Data Shows:
The dataset contains the predicted results from a pre-trained XGBoost regression model applied to a set of test cases derived from CFD simulations of a vertical CVD reactor. Each data point includes the input parameters (susceptor temperature and inlet gas velocity) and the corresponding model-predicted deposition rate and uniformity. These predictions were used to develop second-order polynomial surrogate models that accurately represent the relationship between the process inputs and outputs. The dataset supports three optimization scenarios: (i) maximizing deposition rate under a uniformity constraint, (ii) minimizing non-uniformity under a minimum deposition rate constraint, and (iii) maximizing the deposition-to-uniformity ratio.

Notable Findings:

XGBoost provided the most accurate predictions among tested ML models when compared with CFD simulation results, demonstrating high fidelity in capturing nonlinear behaviors of the CVD process.

The polynomial surrogate models achieved high R² scores and enabled rapid optimization using the Sequential Least Squares Programming (SLSQP) algorithm.

Optimal process windows were identified with improved uniformity and deposition performance, outperforming traditional optimization approaches in both accuracy and computational speed.

Description and Interpretation:
The dataset includes input parameters (temperature and velocity), XGBoost-predicted outputs (deposition rate and uniformity), and results from surrogate model-based optimization for each scenario. The data is structured in a CSV/Excel file format, with clearly labeled columns for inputs, outputs, and optimization metrics. The surrogate models were derived using polynomial regression and validated against the original XGBoost predictions.

This dataset can be interpreted to understand how changes in reactor operating conditions affect deposition characteristics and how machine learning can streamline optimization in CVD applications. It is especially useful for researchers developing intelligent control systems, digital twin frameworks, or data-driven design tools for thin-film fabrication. The surrogate models included enable rapid response surface analysis and can be integrated into real-time optimization pipelines for smart manufacturing.
DOI: 10.17632/jm6w8wmzrh
title: supplementary materials

description: Supplementary materials for the article titled, "Genetic Determinants of Variable Anti-Diabetic Therapy Responses across Diverse Populations with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis." Covering:

1. Literature search keywords
2. Detailed Characteristics of All Eligible Publications Include in the supplementary
3. Q-genie study quality assessment scoring
4. The pooled SMD (95% CIs) in meta-analysis for the association between the SNPs and glycemic response. 
5. The pooled SMD (95% CIs) in meta-analysis for the association between populations, oral-antidiabetic drugs and glycemic response.
DOI: 10.17632/jm6w8wmzrh.1
title: supplementary materials

description: Supplementary materials for the article titled, "Genetic Determinants of Variable Anti-Diabetic Therapy Responses across Diverse Populations with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis." Covering:

1. Literature search keywords
2. Detailed Characteristics of All Eligible Publications Include in the supplementary
3. Q-genie study quality assessment scoring
4. The pooled SMD (95% CIs) in meta-analysis for the association between the SNPs and glycemic response. 
5. The pooled SMD (95% CIs) in meta-analysis for the association between populations, oral-antidiabetic drugs and glycemic response.
DOI: 10.17632/yhg5dkx2xx
title: Loss of SLX4IP leads to common fragile site instability and compromises DNA interstrand crosslink repair in vivo

description: Statistical source data and raw, uncropped, unprocessed western blots for our manuscript titled "Loss of SLX4IP leads to common fragile site instability and compromises DNA interstrand crosslink repair in vivo".
DOI: 10.17632/yhg5dkx2xx.1
title: Loss of SLX4IP leads to common fragile site instability and compromises DNA interstrand crosslink repair in vivo

description: Statistical source data and raw, uncropped, unprocessed western blots for our manuscript titled "Loss of SLX4IP leads to common fragile site instability and compromises DNA interstrand crosslink repair in vivo".
DOI: 10.17632/mztwzbd3yh
title: Major and Trace Element Dataset of Ultramafic Minerals from the Ab-Bid Complex (Iran): Orthopyroxenite and Host Peridotite Compositions

description: This dataset presents major and trace element geochemical data for ultramafic minerals from the Ab-Bid complex, located in the Esfandagheh–Hadji Abad ophiolitic mélange, southern Iran. The samples include orthopyroxenite dykes and their host peridotites (harzburgite and lherzolite). Major element compositions were obtained by electron microprobe analyses (EPMA) for orthopyroxene, clinopyroxene, olivine, and spinel. Trace element data for orthopyroxene and clinopyroxene were acquired using LA-ICP-MS. The dataset supports the interpretation of multistage open-system melting, melt-peridotite interaction, and suprasubduction zone metasomatism. It provides a valuable reference for mantle petrologists, geochemists, and researchers studying subduction-modified ophiolitic complexes.
DOI: 10.17632/mztwzbd3yh.1
title: Major and Trace Element Dataset of Ultramafic Minerals from the Ab-Bid Complex (Iran): Orthopyroxenite and Host Peridotite Compositions

description: This dataset presents major and trace element geochemical data for ultramafic minerals from the Ab-Bid complex, located in the Esfandagheh–Hadji Abad ophiolitic mélange, southern Iran. The samples include orthopyroxenite dykes and their host peridotites (harzburgite and lherzolite). Major element compositions were obtained by electron microprobe analyses (EPMA) for orthopyroxene, clinopyroxene, olivine, and spinel. Trace element data for orthopyroxene and clinopyroxene were acquired using LA-ICP-MS. The dataset supports the interpretation of multistage open-system melting, melt-peridotite interaction, and suprasubduction zone metasomatism. It provides a valuable reference for mantle petrologists, geochemists, and researchers studying subduction-modified ophiolitic complexes.
DOI: 10.17632/85xgdr7cc7.1
title: Indonesian Stand-Up Comedy Transcription Dataset

description: This dataset contains transcriptions of 3,934 Indonesian stand-up comedy videos sourced from Kompas TV’s YouTube channel. Each entry includes the video title, URL, raw transcript, cleaned transcript, and the number of laughter events. Transcripts were preprocessed by removing timestamps, non-verbal tags (e.g., [Tawa], [Musik]), and formatting inconsistencies to produce NLP-ready text. The dataset consists of over 2.8 million words and 17,394 audience laughter annotations. It enables research in humor detection, sentiment analysis, speech emotion recognition, and cultural discourse analysis. Data are stored in Excel and can be filtered by metadata such as performer, title, and laughter count. This resource is particularly valuable for researchers working with low-resource languages and spoken entertainment content in Indonesian.
DOI: 10.17632/3hvc2mjsht
title: Expanding the stimulus domain: Co-occurrence of motion and body-category selectivity in the macaque ventral STS.

description: fMRI and neuronal data used for the publication: 
Bognár A, Nejad GG, Rens G, Raman R, Vogels R. Expanding the stimulus domain: Co-occurrence of motion and body-category selectivity in the macaque ventral STS. Prog Neurobiol. 2025 Jun;249:102769. doi: 10.1016/j.pneurobio.2025.102769. Epub 2025 Apr 18. PMID: 40254177; PMCID: PMC12095119.

The fMRI folder contains the beta values for each run, subject and experiment. The beta files for the experimental conditions are labeled 1 through 7 (identifiers stored in the labels folder), followed by files for eye movement, pupil size, and head motion regressors (8:16), repeated for each run.

The electrophysiology_data folder contains the neuronal data fore each separate recording session, processing scripts, and statistical table and data pooled across sessions and subjects.
DOI: 10.17632/3hvc2mjsht.1
title: Expanding the stimulus domain: Co-occurrence of motion and body-category selectivity in the macaque ventral STS.

description: fMRI and neuronal data used for the publication: 
Bognár A, Nejad GG, Rens G, Raman R, Vogels R. Expanding the stimulus domain: Co-occurrence of motion and body-category selectivity in the macaque ventral STS. Prog Neurobiol. 2025 Jun;249:102769. doi: 10.1016/j.pneurobio.2025.102769. Epub 2025 Apr 18. PMID: 40254177; PMCID: PMC12095119.

The fMRI folder contains the beta values for each run, subject and experiment. The beta files for the experimental conditions are labeled 1 through 7 (identifiers stored in the labels folder), followed by files for eye movement, pupil size, and head motion regressors (8:16), repeated for each run.

The electrophysiology_data folder contains the neuronal data fore each separate recording session, processing scripts, and statistical table and data pooled across sessions and subjects.
DOI: 10.17632/w2rxysm8sg
title: Variation in the diversity patterns of moth fauna from heterogenous habitats of northern Eastern Ghats of Odisha, India

description: Metadata of the paper entitled "Variation in the diversity patterns of moth fauna from heterogenous habitats of northern Eastern Ghats of Odisha, India"
DOI: 10.17632/w2rxysm8sg.1
title: Variation in the diversity patterns of moth fauna from heterogenous habitats of northern Eastern Ghats of Odisha, India

description: Metadata of the paper entitled "Variation in the diversity patterns of moth fauna from heterogenous habitats of northern Eastern Ghats of Odisha, India"
DOI: 10.17632/42v8dzz6cj
title: Particles - Abrasion evolution of steel furnace slag aggregate for railway ballast: 3D morphology analysis of scanned particles by close-range photogrammetry

description: This Dataset contains supplementary data related to the scientific article "Abrasion evolution of steel furnace slag aggregate for railway ballast: 3D morphology analysis of scanned particles by close-range photogrammetry", by André Paixão and Eduardo Fortunato, published in Construction and Building Materials, Elsevier B.V., ISSN: 0950-0618 (accepted for publication on 4 October 2020).

https://doi.org/10.1016/j.conbuildmat.2020.121225

The dataset comprises 180 digital 3D models in .ply format, corresponding to 30 distinct reconstructed railway ballast particles from two different materials - slag (a) and granite (g) - captures at three stages of the micro-Deval abrasion test:
i) before the test;
ii) after 2000 revolutions;
iii) after a total of 14,000 revolutions (end of the test).

The file naming convention for each particle is as follows, using the example of slag particle no. 15:
a15.ply - model before the microDeval test;
a15_.ply - model after 2000 revolutons;
a15__.ply - model after 14,000 revolutions.

The initial particles were carefully positioned and oriented such that their centre of mass is located at coordinates (x,y,z) = (0,0,0), and aligned with the respective principal axis (not with L, I and S distances).
The subsequent degraded models of each particle were aligned with the initial particle model using MeshLab's auto align tool (meshlab.net).

For additional data, please contact the authors.

Acknowledgments
The first author’s postdoctoral fellowship [SFRH/BPD/107737/2015] was supported by Fundação para a Ciência e a Tecnologia, through POCH, co-financed by the ESF and national funds of MCTES, Portugal. Part of the work was conducted in the framework of the TC202 national committee of the Portuguese Geotechnical Society (SPG) “Transportation Geotechnics”, in association with the International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE-TC202). The valuable help of Mr. Rui Coelho, Mr. João Costa and students Carlos Afonso and Nycolas Glerean with the photographic sessions of the particles and with the micro-Deval testing is also acknowledged. Special thanks to Siderurgia Nacional da Maia for providing the steel slag aggregate used in this research.
DOI: 10.17632/42v8dzz6cj.1
title: Particles - Abrasion evolution of steel furnace slag aggregate for railway ballast: 3D morphology analysis of scanned particles by close-range photogrammetry

description: This Dataset contains supplementary data related to the scientific article "Abrasion evolution of steel furnace slag aggregate for railway ballast: 3D morphology analysis of scanned particles by close-range photogrammetry", by André Paixão and Eduardo Fortunato, published in Construction and Building Materials, Elsevier B.V., ISSN: 0950-0618 (accepted for publication on 4 October 2020).

https://doi.org/10.1016/j.conbuildmat.2020.121225

The dataset comprises 180 digital 3D models in .ply format, corresponding to 30 distinct reconstructed railway ballast particles from two different materials - slag (a) and granite (g) - captures at three stages of the micro-Deval abrasion test:
i) before the test;
ii) after 2000 revolutions;
iii) after a total of 14,000 revolutions (end of the test).

The file naming convention for each particle is as follows, using the example of slag particle no. 15:
a15.ply - model before the microDeval test;
a15_.ply - model after 2000 revolutons;
a15__.ply - model after 14,000 revolutions.

The initial particles were carefully positioned and oriented such that their centre of mass is located at coordinates (x,y,z) = (0,0,0), and aligned with the respective principal axis (not with L, I and S distances).
The subsequent degraded models of each particle were aligned with the initial particle model using MeshLab's auto align tool (meshlab.net).

For additional data, please contact the authors.

Acknowledgments
The first author’s postdoctoral fellowship [SFRH/BPD/107737/2015] was supported by Fundação para a Ciência e a Tecnologia, through POCH, co-financed by the ESF and national funds of MCTES, Portugal. Part of the work was conducted in the framework of the TC202 national committee of the Portuguese Geotechnical Society (SPG) “Transportation Geotechnics”, in association with the International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE-TC202). The valuable help of Mr. Rui Coelho, Mr. João Costa and students Carlos Afonso and Nycolas Glerean with the photographic sessions of the particles and with the micro-Deval testing is also acknowledged. Special thanks to Siderurgia Nacional da Maia for providing the steel slag aggregate used in this research.
DOI: 10.17632/395z9gjv47
title: Operationalizing Circular Food System toward Household Food Resilience

description: Operationalization of circular food systems for household food security is an effort to integrate circular economy principles into food production, distribution, consumption, and waste management practices to strengthen households' ability to deal with various pressures on the food system. Circular food systems emphasize efficient resource utilization, waste reduction, nutrient recycling, and reuse of food and organic materials, thus creating sustainable and resilient food flows. This bibliometric review aims to map the structure of permaculture research from 2014-2025, highlighting the current research trends and future directions in this fields. The review uses bibliographic coupling and co-word analysis on 235 documents retrieved from the Scopus database.
DOI: 10.17632/395z9gjv47.1
title: Operationalizing Circular Food System toward Household Food Resilience

description: Operationalization of circular food systems for household food security is an effort to integrate circular economy principles into food production, distribution, consumption, and waste management practices to strengthen households' ability to deal with various pressures on the food system. Circular food systems emphasize efficient resource utilization, waste reduction, nutrient recycling, and reuse of food and organic materials, thus creating sustainable and resilient food flows. This bibliometric review aims to map the structure of permaculture research from 2014-2025, highlighting the current research trends and future directions in this fields. The review uses bibliographic coupling and co-word analysis on 235 documents retrieved from the Scopus database.
DOI: 10.17632/r3252xfry6
title: Operational Management for Sustainable Food Resilience: A Bibliometric Review (2022-2024)

description: Operational management for sustainable food resilience is a strategic approach to designing, managing, and optimizing operational processes that support sustainable food availability, access, and stability, especially at the household and community levels. This approach includes efficient food supply chain planning, wise resource management, and the application of technology and innovation to increase the productivity and adaptability of food systems to shocks such as climate change, economic crises, and natural disasters. This bibliometric review aims to map the structure of permaculture research from 2022-2024, highlighting the current research trends and future directions in this fields. The review uses bibliographic coupling and co-word analysis on 4892 documents retrieved from the Scopus database.
DOI: 10.17632/r3252xfry6.1
title: Operational Management for Sustainable Food Resilience: A Bibliometric Review (2022-2024)

description: Operational management for sustainable food resilience is a strategic approach to designing, managing, and optimizing operational processes that support sustainable food availability, access, and stability, especially at the household and community levels. This approach includes efficient food supply chain planning, wise resource management, and the application of technology and innovation to increase the productivity and adaptability of food systems to shocks such as climate change, economic crises, and natural disasters. This bibliometric review aims to map the structure of permaculture research from 2022-2024, highlighting the current research trends and future directions in this fields. The review uses bibliographic coupling and co-word analysis on 4892 documents retrieved from the Scopus database.
DOI: 10.15468/dl.hezf7m
title: Occurrence Download

description: A dataset containing 15933 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cantherhines pullus (Ranzani, 1842)"
 ]
}

 The dataset includes 15933 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067955-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6m76ftmyv9.3
title: UMath - Dataset of Mathematical Terminology

description: As part of the study, a dataset of mathematical words, phrases and terminology in the Uzbek language was formed.
1) This dataset contains 858 unique words and terms in mathematics.
2) A distinctive feature of the dataset is that the words and terms in it have a weighting coefficient for each of the five mathematical areas (Discrete Mathematics, Geometry, Probability Theory, Differential Equations, Higher Mathematics).
3) The penultimate column of the dataset contains the English translation of this word.
4) The pre-last (8th) column of the dataset contains information on the part of speech to which this word belongs.
5) The last column contains information about source where the each term was extracted

Upd: Current version has English version headers.
DOI: 10.17632/26wccm4ctc
title: Household Waste: A Bibliographic Coupling and Co-word Analysis (2005-2025)

description: Household waste is all types of waste generated from daily activities in households, including food waste, plastic packaging, paper, textiles, as well as electronic waste and household hazardous materials. Along with increasing urbanization, consumption patterns, and population growth, the volume of household waste continues to increase and becomes a serious challenge for the environment and public health. The urgency of household waste management lies in its potential impact on soil, water, and air pollution, as well as its contribution to greenhouse gas emissions if not managed properly. In addition, inefficient handling of household waste can cause social problems such as poor sanitation, the spread of disease, and degradation of the quality of life. This bibliometric review aims to map the structure of permaculture research from 2001-2025, highlighting the current research trends and future directions in this fields. The review uses bibliographic coupling and co-word analysis on 3157 documents retrieved from the Scopus database.
DOI: 10.17632/26wccm4ctc.1
title: Household Waste: A Bibliographic Coupling and Co-word Analysis (2005-2025)

description: Household waste is all types of waste generated from daily activities in households, including food waste, plastic packaging, paper, textiles, as well as electronic waste and household hazardous materials. Along with increasing urbanization, consumption patterns, and population growth, the volume of household waste continues to increase and becomes a serious challenge for the environment and public health. The urgency of household waste management lies in its potential impact on soil, water, and air pollution, as well as its contribution to greenhouse gas emissions if not managed properly. In addition, inefficient handling of household waste can cause social problems such as poor sanitation, the spread of disease, and degradation of the quality of life. This bibliometric review aims to map the structure of permaculture research from 2001-2025, highlighting the current research trends and future directions in this fields. The review uses bibliographic coupling and co-word analysis on 3157 documents retrieved from the Scopus database.
DOI: 10.17632/748w3m9p5n
title: Exam Variants: Human-in-the-Loop AIG Quantitative Methods & Data Mining Spring 25

description: Can instructors' efficiently create multiple parallel exams with an AI assistant while maintaining fairness and rigour? 

This is a collection of two dozen exam variants (instructions & answer keys) created through a human-in-the-loop AI-Instructor approach to automatic item generation. 

Files include Midterm and Final exam variants for two courses: BUS306 Quantitative Methods and BUS397 Data Mining.
DOI: 10.17632/748w3m9p5n.1
title: Exam Variants: Human-in-the-Loop AIG Quantitative Methods & Data Mining Spring 25

description: Can instructors' efficiently create multiple parallel exams with an AI assistant while maintaining fairness and rigour? 

This is a collection of two dozen exam variants (instructions & answer keys) created through a human-in-the-loop AI-Instructor approach to automatic item generation. 

Files include Midterm and Final exam variants for two courses: BUS306 Quantitative Methods and BUS397 Data Mining.