cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p4w367x9sj.2
title: Rheological, mechanical and microstructure properties of microfine particle alkaline-activated grouting material

description: This Mendeley Data repository provides partial datasets associated with the research article entitled “Rheological, mechanical and microstructure properties of microfine particle alkaline-activated grouting material,” published in the European Journal of Environmental and Civil Engineering. The available datasets include:
1. Rheological and mechanical testing data
2. XRD data of PCIII and SF
3. XRD analysis of 1CT and 1SF6 at 7 and 28 days
4. SEM and EDS data of 1CT and 1SF6
5. Brunauer–Emmett–Teller (BET) analysis of 1CT and 1SF6
6. FTIR analysis of 1CT and 1SF6
Access to this repository is restricted to the journal editors and individuals authorized by the authors for research-related purposes.
DOI: 10.17632/2v5j65wmy8
title: Supplementary Materials on the Configurational Analysis of Effective Metaverse-Based Learning

description: This dataset contains the supplementary materials associated with the research article titled "What drives effective metaverse-based learning: A configurational approach"
DOI: 10.17632/2v5j65wmy8.1
title: Supplementary Materials on the Configurational Analysis of Effective Metaverse-Based Learning

description: This dataset contains the supplementary materials associated with the research article titled "What drives effective metaverse-based learning: A configurational approach"
DOI: 10.17632/nv729tbdgz
title: BigFlow-NIDS

description: BigFlow-NIDS, a large-scale, NetFlow-based dataset and accompanying analysis pipeline designed for intrusion-detection research in big-data environments. BigFlow-NIDS was created by merging four major benchmark NetFlow datasets (NF-UNSW-NB15-v3, NF-ToN-IoT-v3, NF-BoT-IoT-v3, NF-CSE-CIC-IDS2018-v3) using an Apache Spark preprocessing pipeline that performs deduplication, missing-value handling, label encoding, and feature harmonization. The final release contains 66,935,021 flows, 55 flow attributes, and 32 fine-grained attack categories. To enable scalable machine learning, batch analytics, and streaming workloads, the dataset is distributed in CSV format and in Parquet format across 67 partitioned files, supporting efficient parallel I/O and high-throughput analytics.
DOI: 10.17632/nv729tbdgz.2
title: BigFlow-NIDS

description: BigFlow-NIDS, a large-scale, NetFlow-based dataset and accompanying analysis pipeline designed for intrusion-detection research in big-data environments. BigFlow-NIDS was created by merging four major benchmark NetFlow datasets (NF-UNSW-NB15-v3, NF-ToN-IoT-v3, NF-BoT-IoT-v3, NF-CSE-CIC-IDS2018-v3) using an Apache Spark preprocessing pipeline that performs deduplication, missing-value handling, label encoding, and feature harmonization. The final release contains 66,935,021 flows, 55 flow attributes, and 32 fine-grained attack categories. To enable scalable machine learning, batch analytics, and streaming workloads, the dataset is distributed in CSV format and in Parquet format across 67 partitioned files, supporting efficient parallel I/O and high-throughput analytics.
DOI: 10.17632/m9s5rzd2w4
title: DSHP: Single-source measurement data and parallel operation refrigerant cycle simulation data

description: Dual-Source Heat Pump data
1. Measurement data for single-source operation with the ground heat source: GSO
2. Measurement data for single-source operation with the air heat source: ASO
3. Refrigerant cycle simulation performance map data for parallel operation of ground and air heat source: PO
DOI: 10.17632/m9s5rzd2w4.2
title: DSHP: Single-source measurement data and parallel operation refrigerant cycle simulation data

description: Dual-Source Heat Pump data
1. Measurement data for single-source operation with the ground heat source: GSO
2. Measurement data for single-source operation with the air heat source: ASO
3. Refrigerant cycle simulation performance map data for parallel operation of ground and air heat source: PO
DOI: 10.5281/zenodo.18336650
title: MAKTABGACHA TA'LIM TASHKILOTLARIDA RAQAMLI PEDAGOGIK TEXNOLOGIYALARNI JORIY ETISHNING SAMARADORLIGI

description: Ushbu maqolada maktabgacha ta’lim tashkilotlarida raqamli pedagogik texnologiyalarni joriy etishning o‘quv-tarbiyaviy samaradorligi tahlil qilinadi. Tadqiqot aralash metodlar asosida olib borildi: kuzatuv, pedagogik diagnostika, yarim tuzilgan intervyu va qiyosiy tahlil qo‘llandi. Natijalar motivatsiya, nutqiy faollik va individual yondashuv sifati oshganini ko‘rsatdi. Ilmiy hissa joriy etish shartlari va indikatorlari tizimlashtirilganidadir.
DOI: 10.5281/zenodo.18336649
title: MAKTABGACHA TA'LIM TASHKILOTLARIDA RAQAMLI PEDAGOGIK TEXNOLOGIYALARNI JORIY ETISHNING SAMARADORLIGI

description: Ushbu maqolada maktabgacha ta’lim tashkilotlarida raqamli pedagogik texnologiyalarni joriy etishning o‘quv-tarbiyaviy samaradorligi tahlil qilinadi. Tadqiqot aralash metodlar asosida olib borildi: kuzatuv, pedagogik diagnostika, yarim tuzilgan intervyu va qiyosiy tahlil qo‘llandi. Natijalar motivatsiya, nutqiy faollik va individual yondashuv sifati oshganini ko‘rsatdi. Ilmiy hissa joriy etish shartlari va indikatorlari tizimlashtirilganidadir.
DOI: 10.15468/dl.ee5hz8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-91.45465636769003 19.107679235441278,-87.45465636769003 19.107679235441278,-87.45465636769003 23.107679235441278,-91.45465636769003 23.107679235441278,-91.45465636769003 19.107679235441278))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bradypus variegatus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004715-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vtfm6hb9wn
title: Low-Dose of Yeast Beta-Glucan on Respiratory Symptoms and Psychological Well-Being in Moderately Stressed Adults

description: This randomized, double-blind, placebo-controlled trial evaluated the effects of low-dose yeast beta-glucan (1,3/1,6) supplementation on respiratory symptoms and psychological well-being among moderately stressed adults in Klang Valley, Malaysia. Over a 12-week intervention period, participants received either placebo, 120 mg, or 204 mg of yeast beta-glucan daily. Outcomes included upper respiratory tract infection severity (WURSS-21), mood states, fatigue, and health-related quality of life, alongside safety blood parameters monitoring. The results show that taking a low dose of yeast beta-glucan is safe and linked to better respiratory symptoms and mental health, suggesting it could be helpful for people who are under stress.
DOI: 10.17632/vtfm6hb9wn.1
title: Low-Dose of Yeast Beta-Glucan on Respiratory Symptoms and Psychological Well-Being in Moderately Stressed Adults

description: This randomized, double-blind, placebo-controlled trial evaluated the effects of low-dose yeast beta-glucan (1,3/1,6) supplementation on respiratory symptoms and psychological well-being among moderately stressed adults in Klang Valley, Malaysia. Over a 12-week intervention period, participants received either placebo, 120 mg, or 204 mg of yeast beta-glucan daily. Outcomes included upper respiratory tract infection severity (WURSS-21), mood states, fatigue, and health-related quality of life, alongside safety blood parameters monitoring. The results show that taking a low dose of yeast beta-glucan is safe and linked to better respiratory symptoms and mental health, suggesting it could be helpful for people who are under stress.
DOI: 10.17632/p5tknb3tkm
title: The original dataset supporting a digital twin modeling framework for full-field structural strength assessment and prediction

description: This dataset provides paired full-field simulation data and sensor data to support research on digital twin modeling, multi-source data fusion, and validation of full-field structural strength prediction methods.

The dataset is organized into two folders:
1) the open-hole plate (quasi-static axial tension)
• Full-field simulation data (Excel): three worksheets corresponding to different load levels (e.g., 8 kN, 16 kN, 24 kN). Each worksheet reports the spatial coordinates of FE nodes (X, Y, Z in mm) and the nodal von Mises stress (MPa) for the whole mesh (54,013 nodes per load level).
• Sensor data (Excel): three worksheets at the same load levels. Each worksheet contains 24 right-angle strain-rosette locations, including the sensor ID, coordinates (X, Y, Z in mm), and the corresponding von Mises stress (MPa) .
• Abaqus input file (*.inp): the FE model of the open-hole plate under quasi-static axial tension, which can be executed directly in Abaqus to reproduce or extend the simulations.
2) Hierarchical stiffened plate (quasi-static axial compression)
• The folder includes the same three types of files (full-field simulation data, sensor data, and an Abaqus *.inp model) for a hierarchical stiffened plate subjected to quasi-static axial compression.
DOI: 10.17632/p5tknb3tkm.2
title: The original dataset supporting a digital twin modeling framework for full-field structural strength assessment and prediction

description: This dataset provides paired full-field simulation data and sensor data to support research on digital twin modeling, multi-source data fusion, and validation of full-field structural strength prediction methods.

The dataset is organized into two folders:
1) the open-hole plate (quasi-static axial tension)
• Full-field simulation data (Excel): three worksheets corresponding to different load levels (e.g., 8 kN, 16 kN, 24 kN). Each worksheet reports the spatial coordinates of FE nodes (X, Y, Z in mm) and the nodal von Mises stress (MPa) for the whole mesh (54,013 nodes per load level).
• Sensor data (Excel): three worksheets at the same load levels. Each worksheet contains 24 right-angle strain-rosette locations, including the sensor ID, coordinates (X, Y, Z in mm), and the corresponding von Mises stress (MPa) .
• Abaqus input file (*.inp): the FE model of the open-hole plate under quasi-static axial tension, which can be executed directly in Abaqus to reproduce or extend the simulations.
2) Hierarchical stiffened plate (quasi-static axial compression)
• The folder includes the same three types of files (full-field simulation data, sensor data, and an Abaqus *.inp model) for a hierarchical stiffened plate subjected to quasi-static axial compression.
DOI: 10.15468/dl.gd5kvm
title: Occurrence Download

description: A dataset containing 1514253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Himantopus himantopus"
 ]
}

 The dataset includes 1514253 records from 1116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004696-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fcnp96ssg6
title: Interpretable Deep Learning Models for Predicting the Bearing Capacity of Strip Footings on Cohesionless Sloping Soil

description: Accurately predicting the bearing capacity of shallow foundations on sloping soil is a critical challenge in geotechnical engineering due to the complex interactions between soil properties and structural parameters. This study employs three deep learning architectures: Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Residual Networks (ResNet) to enhance predictive accuracy and interpretability. A dataset comprising 792 finite element simulations from Plaxis 2D was used to train and validate these models. Performance was evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), and R2 metrics. ResNet demonstrated the most accurate and stable predictions, attaining the lowest test error and the strongest cross-validation performance, outperforming both CNN and DNN architectures. A depth-wise ablation benchmark confirmed that skip connections prevent degradation and preserve performance at scale. CNN achieved competitive performance but was notably affected by input ordering, revealing its structural sensitivity to tabular data. To improve model transparency, SHapley Additive exPlanations (SHAP) were employed to analyze feature importance. Results revealed that the footing depth-to-width ratio (Df/B) had the most significant impact on bearing capacity predictions, followed by slope inclination (β) and internal friction angle. The findings demonstrate that ResNet is a reliable approach for geotechnical predictions and highlight the importance of integrating explainable AI techniques to enhance trust in data-driven decision-making. Future research should explore larger datasets and hybrid deep learning frameworks to further refine predictive performance.
The correct input format is Df/B, g,b/B, f,b,Ngq
DOI: 10.17632/fcnp96ssg6.1
title: Interpretable Deep Learning Models for Predicting the Bearing Capacity of Strip Footings on Cohesionless Sloping Soil

description: Accurately predicting the bearing capacity of shallow foundations on sloping soil is a critical challenge in geotechnical engineering due to the complex interactions between soil properties and structural parameters. This study employs three deep learning architectures: Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Residual Networks (ResNet) to enhance predictive accuracy and interpretability. A dataset comprising 792 finite element simulations from Plaxis 2D was used to train and validate these models. Performance was evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), and R2 metrics. ResNet demonstrated the most accurate and stable predictions, attaining the lowest test error and the strongest cross-validation performance, outperforming both CNN and DNN architectures. A depth-wise ablation benchmark confirmed that skip connections prevent degradation and preserve performance at scale. CNN achieved competitive performance but was notably affected by input ordering, revealing its structural sensitivity to tabular data. To improve model transparency, SHapley Additive exPlanations (SHAP) were employed to analyze feature importance. Results revealed that the footing depth-to-width ratio (Df/B) had the most significant impact on bearing capacity predictions, followed by slope inclination (β) and internal friction angle. The findings demonstrate that ResNet is a reliable approach for geotechnical predictions and highlight the importance of integrating explainable AI techniques to enhance trust in data-driven decision-making. Future research should explore larger datasets and hybrid deep learning frameworks to further refine predictive performance.
The correct input format is Df/B, g,b/B, f,b,Ngq
DOI: 10.17632/p8hw5rt8k4
title: Salidroside project

description: The project tested primarily the influence of salidroside on cytochrome P450 metabolic activities and a possible mechanism of induced changes. The rats were treated with salidroside at the doses from 5 to 45 mg/kg/day for 7 consecutive days. The liver microsomes were isolated and tested for P450 metabolic activities with specific substrates. In vitro inhibition studies with human liver microsomes and naive rat liver microsomes were also performed.
DOI: 10.17632/p8hw5rt8k4.2
title: Salidroside project

description: The project tested primarily the influence of salidroside on cytochrome P450 metabolic activities and a possible mechanism of induced changes. The rats were treated with salidroside at the doses from 5 to 45 mg/kg/day for 7 consecutive days. The liver microsomes were isolated and tested for P450 metabolic activities with specific substrates. In vitro inhibition studies with human liver microsomes and naive rat liver microsomes were also performed.
DOI: 10.15468/dl.eewvy3
title: Occurrence Download

description: A dataset containing 231446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Haliaeetus vocifer"
 ]
}

 The dataset includes 231446 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004690-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18336669
title: INKLYUZIV TA'LIM TIZIMIDA AUTIZMLI BOLALARNING IJTIMOIY VA KOGNITIV RIVOJLANISHIGA QARATILGAN ZAMONAVIY TA'LIM STRATEGIYALARI

description: Mazkur maqolada inklyuziv ta’lim tizimida autizm spektri buzilishiga ega bolalarning ijtimoiy va kognitiv rivojlanishini ta’minlashga qaratilgan zamonaviy ta’lim strategiyalari ilmiy-nazariy va amaliy jihatdan tahlil qilinadi. Tadqiqot jarayonida inklyuziv ta’lim muhitida autizmli bolalarning individual ehtiyojlarini inobatga olgan holda qo‘llanilayotgan innovatsion pedagogik yondashuvlar, vizual qo‘llab-quvvatlash, ijtimoiy ko‘nikmalarni shakllantirish texnologiyalari hamda kognitiv rivojlanishni rag‘batlantiruvchi metodlarning samaradorligi o‘rganiladi. Shuningdek, pedagoglar, psixologlar va ota-onalar o‘rtasidagi hamkorlikning autizmli bolalarning ijtimoiy moslashuvi va bilish jarayonlariga ta’siri yoritib beriladi. Tadqiqot natijalari inklyuziv ta’lim amaliyotini takomillashtirish, autizmli bolalarning ta’lim jarayonida faol ishtirokini ta’minlash hamda ularning ijtimoiy va intellektual salohiyatini rivojlantirishga xizmat qiladi.
DOI: 10.5281/zenodo.18336670
title: INKLYUZIV TA'LIM TIZIMIDA AUTIZMLI BOLALARNING IJTIMOIY VA KOGNITIV RIVOJLANISHIGA QARATILGAN ZAMONAVIY TA'LIM STRATEGIYALARI

description: Mazkur maqolada inklyuziv ta’lim tizimida autizm spektri buzilishiga ega bolalarning ijtimoiy va kognitiv rivojlanishini ta’minlashga qaratilgan zamonaviy ta’lim strategiyalari ilmiy-nazariy va amaliy jihatdan tahlil qilinadi. Tadqiqot jarayonida inklyuziv ta’lim muhitida autizmli bolalarning individual ehtiyojlarini inobatga olgan holda qo‘llanilayotgan innovatsion pedagogik yondashuvlar, vizual qo‘llab-quvvatlash, ijtimoiy ko‘nikmalarni shakllantirish texnologiyalari hamda kognitiv rivojlanishni rag‘batlantiruvchi metodlarning samaradorligi o‘rganiladi. Shuningdek, pedagoglar, psixologlar va ota-onalar o‘rtasidagi hamkorlikning autizmli bolalarning ijtimoiy moslashuvi va bilish jarayonlariga ta’siri yoritib beriladi. Tadqiqot natijalari inklyuziv ta’lim amaliyotini takomillashtirish, autizmli bolalarning ta’lim jarayonida faol ishtirokini ta’minlash hamda ularning ijtimoiy va intellektual salohiyatini rivojlantirishga xizmat qiladi.
DOI: 10.15468/dl.uf7fvm
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.15 7.778106, 100.07909 7.772534, 100.009931 7.755957, 99.944231 7.728782, 99.883613 7.691682, 99.82956900000001 7.645573, 99.783433 7.591592, 99.74633900000001 7.53107, 99.71919800000001 7.465502, 99.702675 7.396503, 99.69717 7.325772, 99.702816 7.255053, 99.71946699999999 7.186085, 99.746709 7.120566, 99.783867 7.060107, 99.830026 7.006195, 99.884047 6.960154, 99.94460100000001 6.923117, 100.010199 6.895992, 100.079231 6.879446, 100.15 6.873885, 100.220769 6.879446, 100.289801 6.895992, 100.355399 6.923117, 100.415953 6.960154, 100.469974 7.006195, 100.516133 7.060107, 100.553291 7.120566, 100.580533 7.186085, 100.597184 7.255053, 100.60283 7.325772, 100.597325 7.396503, 100.580802 7.465502, 100.553661 7.53107, 100.516567 7.591592, 100.470431 7.645573, 100.416387 7.691682, 100.355769 7.728782, 100.290069 7.755957, 100.22091 7.772534, 100.15 7.778106))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004716-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gprunk
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-129.95679 41.2345,-101.93551 51.61275,-48.89111 53.11182,-5.64839 59.91535,146.68128 35.4688,161.0955 56.2253,120.15907 75.48273,17.64501 82.63219,-101.12833 72.25394,-146.90795 66.83419,-150.598 64.4126,-129.95679 41.2345))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Yoldia limatula"
 ]
}

 The dataset includes 34 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004718-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7ub93
title: Occurrence Download

description: A dataset containing 24022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Formicidae"
 ]
}

 The dataset includes 24022 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004717-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18336698
title: MAKTABGACHA TA'LIM TIZIMIDA INKLYUZIV TA'LIM, XORIJIY TAJRIBA VA YANGICHA PEDAGOGIK YONDASHUVLAR

description: Ushbu maqolada inklyuziv ta’lim,maktabgacha ta’lim tashkilotlarida inklyuziv ta’limning mohiyati,  inklyuziv ta’limning qonun hujjatlarida aks ettirilganligi,xorijiy tajribalar va yangicha pedagogik yondashuvlar asosida  inklyuziv ta’limga muhtoj bo’lgan bolalarni qamrab olish,rivojlangan davlatlardagi inklyuziv ta’lim tizimi masalalari yoritib berilgan.
DOI: 10.5281/zenodo.18336697
title: MAKTABGACHA TA'LIM TIZIMIDA INKLYUZIV TA'LIM, XORIJIY TAJRIBA VA YANGICHA PEDAGOGIK YONDASHUVLAR

description: Ushbu maqolada inklyuziv ta’lim,maktabgacha ta’lim tashkilotlarida inklyuziv ta’limning mohiyati,  inklyuziv ta’limning qonun hujjatlarida aks ettirilganligi,xorijiy tajribalar va yangicha pedagogik yondashuvlar asosida  inklyuziv ta’limga muhtoj bo’lgan bolalarni qamrab olish,rivojlangan davlatlardagi inklyuziv ta’lim tizimi masalalari yoritib berilgan.
DOI: 10.5281/zenodo.18335556
title: Dataset for the 2025 Mw 7.7 Myanmar Earthquake: Geodetic Observations, Kinematic Slip, and Dynamic Rupture Models

description: This dataset corresponds to the study titled "Sediment-modulated supershear rupture of the 2025 Mw 7.7 Myanmar earthquake," published in Communications Earth & Environment, which presents the geodetic observations, kinematic slip, and dynamic rupture models for this event. (https://doi.org/10.1038/s43247-026-03232-5). 

Duyuan Xu,  Heng Luo, &  Houyun Yu et al. (2026). Sediment-modulated supershear rupture of the 2025 Mw 7.7 Myanmar earthquake. Communications Earth & Environment, https://doi.org/10.1038/s43247-026-03232-5.