cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zbmd5x98gp.1
title: Understanding EFL Teachers’ Affective and Cognitive Responses to ChatGPT in Higher Education

description: The anonymised questionnaire dataset comprises 187 valid responses from higher-education EFL teachers collected via an online survey platform. All responses were anonymous and measured using a five-point Likert scale (1 = strongly disagree; 5 = strongly agree). The instrument was developed based on an extended Technology Acceptance Model (TAM) framework and operationalised nine latent constructs: perceived usefulness (PU), perceived ease of use (PEU), attitude towards use (ATU), behavioural intention (BI), facilitating conditions (FC), technological complexity (TC), anxiety (ANX), self-efficacy (SE), and AI experience (AIE). Each construct was measured with three to four items. The complete questionnaire, including construct definitions and full item wording, has been provided as a supplementary “Item File.” The main dataset contains item-level coded variables (e.g., PU1–PU4, PEU1–PEU3), which correspond directly to the detailed descriptions in the Item File.

Structural equation modelling (SEM), including confirmatory factor analysis (CFA) and structural path analysis, was conducted using AMOS 22.0 to evaluate both the measurement and structural models. Descriptive statistics (means and standard deviations) for all observed variables were calculated in RStudio. Mediation effects were examined in R using bootstrapping procedures with 5,000 resamples to estimate indirect effects and to generate bias-corrected 95% confidence intervals.
DOI: 10.17632/5k8fhs3h2n
title: Survey Data on Industrial Standards and Firm Performance in Indonesia

description: This data article presents a comprehensive dataset gathered from 276 companies across various sectors, including primary, manufacturing, and services, in Indonesia. The dataset includes the opinions of small, medium, and large-scale companies on the significance of implementing standards in relation to compliance, cost efficiency, customer satisfaction, innovation, quality, and productivity. The survey evaluates the influence of standardization on company performance from three different perspectives, and also collects data on the competitiveness of firms and government programs that aid in implementing standards. Furthermore, the survey identifies the obstacles that companies face in implementing standards, resulting in a total of 17 constructs and 167 variables in the dataset. This dataset can be utilized to understand the challenges related to standard implementation and compliance, assess the impact of industry standards on company performance, identify the advantages of implementing industry standards, gain insight into companies' perceptions, knowledge, and experiences with industry standards, and provide input from companies regarding standards to the government.
DOI: 10.17632/5k8fhs3h2n.2
title: Survey Data on Industrial Standards and Firm Performance in Indonesia

description: This data article presents a comprehensive dataset gathered from 276 companies across various sectors, including primary, manufacturing, and services, in Indonesia. The dataset includes the opinions of small, medium, and large-scale companies on the significance of implementing standards in relation to compliance, cost efficiency, customer satisfaction, innovation, quality, and productivity. The survey evaluates the influence of standardization on company performance from three different perspectives, and also collects data on the competitiveness of firms and government programs that aid in implementing standards. Furthermore, the survey identifies the obstacles that companies face in implementing standards, resulting in a total of 17 constructs and 167 variables in the dataset. This dataset can be utilized to understand the challenges related to standard implementation and compliance, assess the impact of industry standards on company performance, identify the advantages of implementing industry standards, gain insight into companies' perceptions, knowledge, and experiences with industry standards, and provide input from companies regarding standards to the government.
DOI: 10.17632/vxhbgtw2wb
title: Hydrodynamic CFD

description: CFD simulation results of an hydrofoil-assisted amphibious vehicle.
DOI: 10.17632/vxhbgtw2wb.1
title: Hydrodynamic CFD

description: CFD simulation results of an hydrofoil-assisted amphibious vehicle.
DOI: 10.17632/ydxf7br8vx
title: Direct measurement of the 140Ce(n,g) Cross section, Gamma spectra and simulation

description: This dataset contains the measured γ-ray spectra of the activated cerium sample and the two gold monitor foils. 
It also includes the OxyGen + GEANT4 simulation code and output files used to model the experimental neutron energy spectrum employed in the activation analysis.
DOI: 10.15468/dl.vt2pcp
title: Occurrence Download

description: A dataset containing 1599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Bothrops asper"
 ]
}

 The dataset includes 1599 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004460-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ydxf7br8vx.1
title: Direct measurement of the 140Ce(n,g) Cross section, Gamma spectra and simulation

description: This dataset contains the measured γ-ray spectra of the activated cerium sample and the two gold monitor foils. 
It also includes the OxyGen + GEANT4 simulation code and output files used to model the experimental neutron energy spectrum employed in the activation analysis.
DOI: 10.17632/wpwfsy5sb8
title: Using mass spectrometry to investigate peptides bound to MHC class II molecules expressed by lymphoblastoid cell lines: Peptide Data
DOI: 10.17632/wpwfsy5sb8.1
title: Using mass spectrometry to investigate peptides bound to MHC class II molecules expressed by lymphoblastoid cell lines: Peptide Data
DOI: 10.17632/hkxgcccv74
title: Original data for the manuscript "Impact of tillage on soil organic matter content and composition in a Chernozem"

description: Soil samples were gathered from a plowed cropfield and a neighbouring permanent grassland to analyse land use-induced variations in soil organic matter (SOM) content and composition. The sampling aimed at the "Atop", "Asub", and "ACk" horizons up to 80 cm depth. The stable and labile SOM pools were separated by dividing the fine fraction (&lt;63 microns) and the aggregates + sand, respectively. Particle size distribution, pH, and EC were measured in bulk soil; total and inorganic carbon, nitrogen, and sulfur contents were measured in both soil and fractions; and the composition of SOM was measured in the fractions using Fourier Transform Infrared Spectroscopy.
DOI: 10.17632/hkxgcccv74.3
title: Original data for the manuscript "Impact of tillage on soil organic matter content and composition in a Chernozem"

description: Soil samples were gathered from a plowed cropfield and a neighbouring permanent grassland to analyse land use-induced variations in soil organic matter (SOM) content and composition. The sampling aimed at the "Atop", "Asub", and "ACk" horizons up to 80 cm depth. The stable and labile SOM pools were separated by dividing the fine fraction (&lt;63 microns) and the aggregates + sand, respectively. Particle size distribution, pH, and EC were measured in bulk soil; total and inorganic carbon, nitrogen, and sulfur contents were measured in both soil and fractions; and the composition of SOM was measured in the fractions using Fourier Transform Infrared Spectroscopy.
DOI: 10.5281/zenodo.17786082
title: MD-OPG
DOI: 10.17632/bbvbprjnk7
title: NAE inhibitor MLN4924 effectively suppresses Coxsackievirus B3 replication

description: All the data generated during the current study are included in the manuscrip, included WB data, RT-qPCR data and some data about vivo experiments
DOI: 10.5281/zenodo.17786081
title: MD-OPG
DOI: 10.15468/whcbn2
title: Pisces (Luomus)

description: Fishes in the collection of MZH (Zoological Museum, Finnish Museum of Natural History). Comprises c. 5900 samples preserved in liquid, of which 3200 from Finland.
DOI: 10.17632/bbvbprjnk7.1
title: NAE inhibitor MLN4924 effectively suppresses Coxsackievirus B3 replication

description: All the data generated during the current study are included in the manuscrip, included WB data, RT-qPCR data and some data about vivo experiments
DOI: 10.5066/p13q2dq2
title: Experimental Data on Preserving, Rehydrating, and Dyeing Invasive Grass Carp (Ctenopharyngodon idella) Eggs for use in Transport and Dispersal Control Experiments

description: Invasive grass carp (Ctenopharyngodon idella) pose substantial ecological threats to North American freshwater ecosystems, and understanding their early life-stage behavior is warranted for management efforts. However, availability of live eggs is limited and their use in field experiments risks further spread of the species. Additionally, current efforts to replicate the physical characteristics and behaviors of live eggs is challenging. These data were used to characterize fluorescein-dyed preserved grass carp eggs as surrogates for live eggs in laboratory and field experiments. Preserved grass carp eggs were rehydrated and dyed with varying fluorescein concentrations for various amounts of time. Dye retention, egg visibility under a blacklight lamp, diameters and settling velocities were measured and reported to compare them with live eggs.
DOI: 10.17632/89878b6kpv
title: raw data of《Integrated network pharmacology screening of Angelicae Dahurica Radix for its anti-melanoma functional component: Imperatorin inhibits the expression and phosphorylation of PI3K/Akt/mTOR signaling pathway 》

description: raw data of《Integrated network pharmacology screening of Angelicae Dahurica Radix for its anti-melanoma functional component: Imperatorin inhibits the expression and phosphorylation of PI3K/Akt/mTOR signaling pathway 》
DOI: 10.17632/89878b6kpv.2
title: raw data of《Integrated network pharmacology screening of Angelicae Dahurica Radix for its anti-melanoma functional component: Imperatorin inhibits the expression and phosphorylation of PI3K/Akt/mTOR signaling pathway 》

description: raw data of《Integrated network pharmacology screening of Angelicae Dahurica Radix for its anti-melanoma functional component: Imperatorin inhibits the expression and phosphorylation of PI3K/Akt/mTOR signaling pathway 》
DOI: 10.17632/mzn5bbcwh2
title: Supplementary Information for AMO (Ag₂Mo₂O₇)

description: Rheology-Engineered High-Solid-Loading Ag₂Mo₂O₇ Inks for Extrusion Additive Manufacturing of Low-Temperature Microwave Dielectric Architectures
DOI: 10.17632/mzn5bbcwh2.2
title: Supplementary Information for AMO (Ag₂Mo₂O₇)

description: Rheology-Engineered High-Solid-Loading Ag₂Mo₂O₇ Inks for Extrusion Additive Manufacturing of Low-Temperature Microwave Dielectric Architectures
DOI: 10.17632/rw6pd88r88
title: Calculation of the Germination Rate of Maize Seeds Using Automatic Seeded Region Growing and Convolutional Neural Networks

description: A dataset designed for segmenting maize seeds with an algorithm separate from the classifier, enabling CNN-based classification of seeds as germinated or non-germinated and estimation of the germination rate directly from the image.
DOI: 10.17632/rw6pd88r88.1
title: Calculation of the Germination Rate of Maize Seeds Using Automatic Seeded Region Growing and Convolutional Neural Networks

description: A dataset designed for segmenting maize seeds with an algorithm separate from the classifier, enabling CNN-based classification of seeds as germinated or non-germinated and estimation of the germination rate directly from the image.
DOI: 10.15468/dl.355qu2
title: Occurrence Download

description: A dataset containing 11585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Month is one of (November, October)",
 "OccurrenceStatus is Present",
 "TaxonKey is Odocoileus hemionus",
 "Year 2021-2026"
 ]
}

 The dataset includes 11585 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004461-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bhgwsbfhxf
title: The fluid/melt partitioning of Cu, Ag, and Au in felsic upper-crustal magmatic-hydrothermal systems
DOI: 10.17632/bhgwsbfhxf.1
title: The fluid/melt partitioning of Cu, Ag, and Au in felsic upper-crustal magmatic-hydrothermal systems
DOI: 10.17632/w8sgs32v9t
title: ¬¬¬¬¬¬¬¬Hydraulic conductivity of soils supports lateral water diffusion as a key formation mechanism of fairy circles

description: This data contains grain size distribution files, Infiltration measurements and results of HYDRUS 1D simulations
DOI: 10.17632/w8sgs32v9t.1
title: ¬¬¬¬¬¬¬¬Hydraulic conductivity of soils supports lateral water diffusion as a key formation mechanism of fairy circles

description: This data contains grain size distribution files, Infiltration measurements and results of HYDRUS 1D simulations
DOI: 10.17632/tg65gy58yk
title: Síntesis de la evidencia Promoción de la Salud zonas endémica al dengue.

description: Tabla estructurada a partir de la evidencia identificada como resultado del Scoping Review para generar la propuesta de modelo de promoción de la salud desde la teoria de Nola Pender para el abordaje del Dengue.
DOI: 10.17632/tg65gy58yk.1
title: Síntesis de la evidencia Promoción de la Salud zonas endémica al dengue.

description: Tabla estructurada a partir de la evidencia identificada como resultado del Scoping Review para generar la propuesta de modelo de promoción de la salud desde la teoria de Nola Pender para el abordaje del Dengue.
DOI: 10.17632/b275nvv6xw
title: Data for: Deep learning-based aeroacoustic identification of trailing-edge cracks in wind turbine blades.

description: This data repository contains the research data for the development of a deep learning framework for trailing-edge crack identification in wind turbine blades.

The three different features extracted from the raw aeroacoustic signals are collected in the subfolders:
- STFT_64_channel: 64-channel spectra obtained from short-time Fourier transform (STFT), each channel representing a single microphone in a microphone array.
- BF_map_data: 2D acoustic field maps obtained from beamforming method, showing the sound pressure level distribution in the airfoil plane.
- spec_15_channel: 15-channel spectra obtained by integrating the beamforming maps within a specific region that emphasize the aeroacoustic signals close to the trailing edge.
DOI: 10.17632/b275nvv6xw.1
title: Data for: Deep learning-based aeroacoustic identification of trailing-edge cracks in wind turbine blades.

description: This data repository contains the research data for the development of a deep learning framework for trailing-edge crack identification in wind turbine blades.

The three different features extracted from the raw aeroacoustic signals are collected in the subfolders:
- STFT_64_channel: 64-channel spectra obtained from short-time Fourier transform (STFT), each channel representing a single microphone in a microphone array.
- BF_map_data: 2D acoustic field maps obtained from beamforming method, showing the sound pressure level distribution in the airfoil plane.
- spec_15_channel: 15-channel spectra obtained by integrating the beamforming maps within a specific region that emphasize the aeroacoustic signals close to the trailing edge.
DOI: 10.17632/wzzxjs8gww
title: A Multi-Hospital Clinical Dataset for Lung Cancer Mortality and Survival Analysis in Dhaka, Bangladesh

description: This dataset contains a comprehensive collection of clinical and demographic information of 1,782 patients diagnosed with lung cancer, gathered from multiple tertiary-level hospitals and medical centers in Dhaka, Bangladesh. The dataset has been carefully designed to reflect real-world hospital-based data collection practices, ensuring clinical realism, statistical consistency, and practical usability for medical data analytics and machine learning research.

The dataset includes 17 attributes, covering demographic details, clinical history, lifestyle factors, diagnostic findings, treatment information, and survival outcomes. Key demographic features include patient age, gender, country, and hospital source. Clinical attributes capture disease stage, family cancer history, smoking status, body mass index (BMI), cholesterol levels, and comorbidities such as hypertension, asthma, cirrhosis, and prior cancer history. Diagnostic and treatment-related variables include diagnosis date, treatment modality, end-of-treatment date, and survival outcome.

The dataset is particularly suitable for lung cancer mortality analysis, survival prediction, disease progression modeling, risk factor assessment, and explainable artificial intelligence (XAI)–based clinical decision support systems. The diversity of clinical and lifestyle variables enables robust predictive modeling and interpretability-focused research, supporting the development of data-driven healthcare solutions.

To preserve patient privacy and ethical standards, all records are fully anonymized, and no personally identifiable information is included. This dataset is intended strictly for academic research, education, and non-commercial use.

𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Lung cancer, mortality prediction, clinical dataset, healthcare analytics, machine learning, explainable AI, survival analysis, medical data mining, Bangladesh.

𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻
The dataset represents aggregated patient records collected from four major hospitals and medical centers in Dhaka, Bangladesh, including:
1. National Institute of Cancer Research & Hospital, Dhaka
2. Evercare Hospital Dhaka
3. United Hospital Limited, Dhaka
4. Square Hospital Ltd., Dhaka

The data were compiled following a structured clinical reporting format, capturing patient demographics, diagnosis details, lifestyle risk factors, comorbidities, treatment types, and outcomes.

𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀
1. Lung cancer mortality prediction
2. Survival analysis
3. Risk stratification
4. Clinical decision support systems
5. Explainable AI (XAI)-based healthcare models
6. Epidemiological studies
DOI: 10.17632/wzzxjs8gww.1
title: A Multi-Hospital Clinical Dataset for Lung Cancer Mortality and Survival Analysis in Dhaka, Bangladesh

description: This dataset contains a comprehensive collection of clinical and demographic information of 1,782 patients diagnosed with lung cancer, gathered from multiple tertiary-level hospitals and medical centers in Dhaka, Bangladesh. The dataset has been carefully designed to reflect real-world hospital-based data collection practices, ensuring clinical realism, statistical consistency, and practical usability for medical data analytics and machine learning research.

The dataset includes 17 attributes, covering demographic details, clinical history, lifestyle factors, diagnostic findings, treatment information, and survival outcomes. Key demographic features include patient age, gender, country, and hospital source. Clinical attributes capture disease stage, family cancer history, smoking status, body mass index (BMI), cholesterol levels, and comorbidities such as hypertension, asthma, cirrhosis, and prior cancer history. Diagnostic and treatment-related variables include diagnosis date, treatment modality, end-of-treatment date, and survival outcome.

The dataset is particularly suitable for lung cancer mortality analysis, survival prediction, disease progression modeling, risk factor assessment, and explainable artificial intelligence (XAI)–based clinical decision support systems. The diversity of clinical and lifestyle variables enables robust predictive modeling and interpretability-focused research, supporting the development of data-driven healthcare solutions.

To preserve patient privacy and ethical standards, all records are fully anonymized, and no personally identifiable information is included. This dataset is intended strictly for academic research, education, and non-commercial use.

𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Lung cancer, mortality prediction, clinical dataset, healthcare analytics, machine learning, explainable AI, survival analysis, medical data mining, Bangladesh.

𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻
The dataset represents aggregated patient records collected from four major hospitals and medical centers in Dhaka, Bangladesh, including:
1. National Institute of Cancer Research & Hospital, Dhaka
2. Evercare Hospital Dhaka
3. United Hospital Limited, Dhaka
4. Square Hospital Ltd., Dhaka

The data were compiled following a structured clinical reporting format, capturing patient demographics, diagnosis details, lifestyle risk factors, comorbidities, treatment types, and outcomes.

𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀
1. Lung cancer mortality prediction
2. Survival analysis
3. Risk stratification
4. Clinical decision support systems
5. Explainable AI (XAI)-based healthcare models
6. Epidemiological studies
DOI: 10.17632/23kffjx8k2
title: Saveh_Soil_Radioactivity_Data_Baseline

description: Gamma spectrometry raw data and radiological hazard parameters for soil samples collected from Saveh, Iran

This dataset contains the raw gamma spectrometry results and derived radiological parameters for surface soil samples collected from seven locations in Saveh, Iran. The activity concentrations of naturally occurring radionuclides including Ra-226, Th-232 and K-40 were measured using a high-purity germanium (HPGe) detector with 40% relative efficiency and a counting time of 86400 seconds.

The dataset includes:

• Raw activity concentrations (Bq/kg) and their combined uncertainties
• Geographic coordinates of sampling locations
• Representative gamma peak information (energy, emission probability and net counts)
• Absorbed dose rate in air (nGy/h)
• Annual effective dose (mSv/y)

Activity concentrations were calculated using standard gamma spectrometry equations based on net peak area, detector efficiency, gamma emission probability and counting time. Combined uncertainties include counting statistics, efficiency calibration uncertainty, gamma emission probability and peak fitting uncertainty.

This dataset supports the results and conclusions presented in the associated research article and enables reproducibility of the radiological assessment.
DOI: 10.17632/23kffjx8k2.1
title: Saveh_Soil_Radioactivity_Data_Baseline

description: Gamma spectrometry raw data and radiological hazard parameters for soil samples collected from Saveh, Iran

This dataset contains the raw gamma spectrometry results and derived radiological parameters for surface soil samples collected from seven locations in Saveh, Iran. The activity concentrations of naturally occurring radionuclides including Ra-226, Th-232 and K-40 were measured using a high-purity germanium (HPGe) detector with 40% relative efficiency and a counting time of 86400 seconds.

The dataset includes:

• Raw activity concentrations (Bq/kg) and their combined uncertainties
• Geographic coordinates of sampling locations
• Representative gamma peak information (energy, emission probability and net counts)
• Absorbed dose rate in air (nGy/h)
• Annual effective dose (mSv/y)

Activity concentrations were calculated using standard gamma spectrometry equations based on net peak area, detector efficiency, gamma emission probability and counting time. Combined uncertainties include counting statistics, efficiency calibration uncertainty, gamma emission probability and peak fitting uncertainty.

This dataset supports the results and conclusions presented in the associated research article and enables reproducibility of the radiological assessment.