cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rg29pj4zkn.1
title: Association Between Digital Distractions, Time Management, and Math Performance of Aspiring Teachers

description: This study examines the impact of digital distraction and time management skills on the pre-service teachers’ academic performance in mathematics. A total of 121 aspiring educators were selected using simple random selection. They responded to two sets of adopted survey questionnaires that evaluated their digital distraction and time management skills. Moreover, their Mathematics in Modern World (MMW) grade was used as basis for their math performance. Weighted mean was used to assess the levels of the variables and Pearson’s correlation was applied to determine their relationship to the respondents’ math performance. The results show that they had moderate level of digital distraction, high level of skills in managing time, as well as outstanding math performance. Despite exhibiting these levels, the results reveled that digital distraction and time management skills have insignificant impact on the respondents' mathematics performance. These suggest that other underlying factors may play a greater role in influencing student performance. Further research may consider investigating additional variables or employing qualitative methods to gain a better understanding of what truly influences students' academic performance in math.
DOI: 10.17632/wnwzg2m79f.1
title: Data set reset Slipway

description: The present study investigates the structural and hydrodynamic responses of a fishing vessel launched via a 4° inclined slipway using three-dimensional numerical simulations. Emphasis is placed on capturing transient phenomena during the sliding and water-entry phases, including hydrodynamic pressure distribution, frictional resistance evolution, and launching velocity characteristics. The numerical model was developed using a volume of fluid (VOF) approach coupled with dynamic mesh motion to replicate real launching dynamics. Results show that the vessel experienced a peak hydrodynamic pressure of 141,872.5 Pa at initial water impact, concentrated along the keel and bow regions, which corresponds to the moment of maximum fluid-structure interaction. Pressure distribution was found to be non-uniform and transient, characterized by spatial gradients and wave-induced oscillations along the hull. Furthermore, the peak total resistance force recorded during sliding was 13,553.5 N, revealing a nonlinear force evolution influenced by contact friction, gravitational acceleration, and local slipway geometry. At the end of the launching trajectory, the vessel attained a velocity of 8 m/s, placing it within a high-energy regime with significant implications for impact-induced stress. These findings reinforce the necessity of integrating hydrodynamic behavior, resistance mechanics, and launch velocity predictions into the design of slipway systems to ensure structural integrity and operational safety. The validated simulation framework provides a critical foundation for optimizing traditional slipway design under Southeast Asian maritime conditions.
DOI: 10.17632/wnwzg2m79f.2
title: Data set reset Slipway

description: The present study investigates the structural and hydrodynamic responses of a fishing vessel launched via a 4° inclined slipway using three-dimensional numerical simulations. Emphasis is placed on capturing transient phenomena during the sliding and water-entry phases, including hydrodynamic pressure distribution, frictional resistance evolution, and launching velocity characteristics. The numerical model was developed using a volume of fluid (VOF) approach coupled with dynamic mesh motion to replicate real launching dynamics. Results show that the vessel experienced a peak hydrodynamic pressure of 141,872.5 Pa at initial water impact, concentrated along the keel and bow regions, which corresponds to the moment of maximum fluid-structure interaction. Pressure distribution was found to be non-uniform and transient, characterized by spatial gradients and wave-induced oscillations along the hull. Furthermore, the peak total resistance force recorded during sliding was 13,553.5 N, revealing a nonlinear force evolution influenced by contact friction, gravitational acceleration, and local slipway geometry. At the end of the launching trajectory, the vessel attained a velocity of 8 m/s, placing it within a high-energy regime with significant implications for impact-induced stress. These findings reinforce the necessity of integrating hydrodynamic behavior, resistance mechanics, and launch velocity predictions into the design of slipway systems to ensure structural integrity and operational safety. The validated simulation framework provides a critical foundation for optimizing traditional slipway design under Southeast Asian maritime conditions.
DOI: 10.15468/dl.t7zmvv
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((101.88035 50.44314,107.04093 50.44314,107.04093 53.89399,101.88035 53.89399,101.88035 50.44314))",
 "TaxonKey is Lathyrus tuberosus L."
 ]
}

 The dataset includes 34 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015264-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hp4xjdk2y6.1
title: Gima Kolmi Leaf Dataset: A Curated Image Resource for Agricultural Disease Monitoring in Ipomoea aquatica Cultivated in Bangladesh

description: The Gima Kolmi Leaf Dataset offers high-resolution, 700+ images of Ipomoea aquatica (Gima Kolmi) leaves, captured under natural sunlight in open field conditions in Rangpur, Bangladesh. Total Dataset Size: 7,292 images across all categories, including raw, processed, and augmented data. As a widely cultivated leafy vegetable in the country, early disease detection in Gima Kolmi is vital for ensuring yield and food security. This dataset supports research in machine learning and computer vision for plant disease classification, reflecting real-world agricultural conditions in rural Bangladesh. It is well-suited for developing AI-driven tools for precision agriculture and mobile-based plant health diagnostics.

Key Features of the Gima Kolmi Leaf Dataset :

1. Total Raw Images: 730
2. Processed Images: 730
3. Augmented Dataset 1: 3,645 images
4. Augmented Dataset 2: 2,187 images
5. Two Balanced Classes:
• Disease
• Disease Free
6. Metadata Included:
• CSV file with filename, class label, source folder, and image dimensions
7. Visual Summary & Sample Image Provided

Data Collection : 
Device Used: Realme GT Master Edition (64 MP camera)
Environment: Natural daylight, sunny conditions
Location: OFRD, Rangpur, Bangladesh
Coordinates: 25.72046007746578, 89.26284024499962
All images were taken manually by the author under consistent lighting and background conditions.

Preprocessing Details :
• Resizing: All processed images resized to 224x224 pixels
• Normalization: Pixel values scaled to [-1, 1] range
• White background removed (optional)
• Format: JPG, JPEG, PNG

Data Augmentation Techniques : 

Augmented_1:
• Horizontal_Flip
• Vertical Flip
• Rotation (±15°)
• Brightness/Contrast
Augmented_2 : 
• Random Zoom
• Shearing
• Cropping and Padding
• Color Jitter
• Gaussian Noise

Applications :
The Gima Kolmi Leaf Dataset serves as a valuable resource for a wide range of research and development efforts, particularly in:
➨ Leaf Disease Classification using machine learning and deep learning techniques.
➨ Precision Agriculture, enabling the development of decision support tools for Bangladeshi farmers.
➨ Mobile-Based Disease Detection apps for in-field diagnosis and real-time crop monitoring.
➨ AI-Powered Agricultural Robotics for automated crop health assessment.
➨ Transfer Learning & Model Benchmarking in plant pathology-related computer vision tasks.

By providing labeled leaf images from real Bangladeshi farms, this dataset enables AI-based disease detection, supports early diagnosis, and promotes sustainable agriculture through practical and academic applications.
DOI: 10.17632/v52nk44mm3.1
title: dataset-EMGSH-hypothermia

description: experimental data including the effects of sevoflurane, pentobarbital, and hypothermia
DOI: 10.17632/fz2ngvk3ds
title: Turning Waste into Opportunity: Comparative Study of Waste-Derived and Conventional Sorbents for Heavy Metal Removal from Water

description: The data relate to research work on the characterization of natural sorbents and the assessment of their suitability for the removal of heavy metals.
DOI: 10.17632/fz2ngvk3ds.1
title: Turning Waste into Opportunity: Comparative Study of Waste-Derived and Conventional Sorbents for Heavy Metal Removal from Water

description: The data relate to research work on the characterization of natural sorbents and the assessment of their suitability for the removal of heavy metals.
DOI: 10.15468/dl.zgwvem
title: Occurrence Download

description: A dataset listing the 4067370 species recorded in GBIF matching the query:
{ }

 The dataset's 4067370 records were derived from 73293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015267-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11918748
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/xdwpm5srjw.1
title: Cracking behaviors and hydrothermal migration in clayey soils under wetting-drying-freeze-thaw cycles

description: The laboratory soil column experiments were conducted to investigate the surface crack development of clayey soil and the internal hydrothermal distribution under multiple wetting-drying-freeze-thaw (W-D-F-T) cycles. This dataset includes near-surface meteorological parameters (air temperature and relative humidity), crack parameters (crack ratio, width, and length), as well as soil temperature and volumetric water content. Meteorological data were collected using temperature and humidity sensors; crack parameters were obtained through image processing; and soil temperature and moisture content were measured using temperature probes and moisture sensors, respectively.
DOI: 10.17617/3.nz3xzg
title: ACROSS_Mecca_model_output

description: Box model output when optimizing agreement between modelled and measured peroxycarboxylic nitric anhydrides during the ACROSS campaign. 9 days of spin-up time was used to ensure steady state of all trace gasses not constrained in the model.
DOI: 10.17632/6499ywdrfx.1
title: AVARO DATA

description: CYBER DATA AVARO
DOI: 10.17632/dghwc85p9v.1
title: Temperature sensitivity of soil organic carbon and its components on the Tibetan Plateau

description: This excel document contains all the data related to soil incubation and soil properties for the study entitled “Soil microbial and edaphic properties determine temperature sensitivity of soil organic carbon and its components on the Tibetan Plateau” .
DOI: 10.5281/zenodo.15274249
title: Intermittent In-situ Uniaxial Compression of Foam Glasses under Micro-CT scan datasets - Sample A

description: Dataset Description:

This dataset contains micro-computed tomography (micro-CT) scans of porous foam glass specimens subjected to intermittent in-situ compression testing. The measurements were performed using an Xradia 510 Versa micro-CT scanner in combination with a Deben CT5000 in-situ compression cell.

Each specimen underwent five scans corresponding to different loading stages: an initial reference scan without applied compression (Stage 0), followed by four subsequent scans under increasing compressive loads.

This dataset specifically corresponds to one specimen out of a total of five scanned in the overall experimental campaign.
description: Measurement parameters:

Camera binning: 2Image size: 1024x1024Source setting: - Applied voltage: 80 kV - Current: 88 µA - Power: 7 WEffective pixel size: 10 µmOptical magnification: 0.4XExposure time: 10 s

Reconstruction settings:

Beam hardening correction: 0.05Filter: smooth - σ: 0.5Byte scaling: Min: -0.1; Max: 0.25 
description: Folder and File Structure:

The dataset is organized by specimen (A, B, C, D and E).Within the folder for each particular specimen, five subfolders (labeled 0 to 4) contain reconstructed slice data for each compression stage.

Folder 0: Reference scan with no applied load.Folders 1–4: Scans acquired during successive compression stages. Each folder is named using the format:  '#COMPRESSION_IDENTER-DISPLACEMENT[µm]', indicating the stage and the corresponding indenter displacement.

In addition to the dataset itself (reconstructed image slices), each compression stage folder contains: - A .png file with acquisition parameters - A .png file with reconstruction settings - A .png preview of the 3D reconstructed volume
DOI: 10.5281/zenodo.15274250
title: Intermittent In-situ Uniaxial Compression of Foam Glasses under Micro-CT scan datasets - Sample A

description: Dataset Description:

This dataset contains micro-computed tomography (micro-CT) scans of porous foam glass specimens subjected to intermittent in-situ compression testing. The measurements were performed using an Xradia 510 Versa micro-CT scanner in combination with a Deben CT5000 in-situ compression cell.

Each specimen underwent five scans corresponding to different loading stages: an initial reference scan without applied compression (Stage 0), followed by four subsequent scans under increasing compressive loads.

This dataset specifically corresponds to one specimen out of a total of five scanned in the overall experimental campaign.
description: Measurement parameters:

Camera binning: 2Image size: 1024x1024Source setting: - Applied voltage: 80 kV - Current: 88 µA - Power: 7 WEffective pixel size: 10 µmOptical magnification: 0.4XExposure time: 10 s

Reconstruction settings:

Beam hardening correction: 0.05Filter: smooth - σ: 0.5Byte scaling: Min: -0.1; Max: 0.25 
description: Folder and File Structure:

The dataset is organized by specimen (A, B, C, D and E).Within the folder for each particular specimen, five subfolders (labeled 0 to 4) contain reconstructed slice data for each compression stage.

Folder 0: Reference scan with no applied load.Folders 1–4: Scans acquired during successive compression stages. Each folder is named using the format:  '#COMPRESSION_IDENTER-DISPLACEMENT[µm]', indicating the stage and the corresponding indenter displacement.

In addition to the dataset itself (reconstructed image slices), each compression stage folder contains: - A .png file with acquisition parameters - A .png file with reconstruction settings - A .png preview of the 3D reconstructed volume
DOI: 10.15468/dl.sewtej
title: Occurrence Download

description: A dataset containing 83340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pteromys volans (Linnaeus, 1758)"
 ]
}

 The dataset includes 83340 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015271-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15494221
title: Intermittent In-situ Uniaxial Compression of Foam Glasses under Micro-CT scan datasets - Sample B

description: Dataset Description:

This dataset contains micro-computed tomography (micro-CT) scans of porous foam glass specimens subjected to intermittent in-situ compression testing. The measurements were performed using an Xradia 510 Versa micro-CT scanner in combination with a Deben CT5000 in-situ compression cell.

Each specimen underwent five scans corresponding to different loading stages: an initial reference scan without applied compression (Stage 0), followed by four subsequent scans under increasing compressive loads.

This dataset specifically corresponds to one specimen out of a total of five scanned in the overall experimental campaign.
description: Measurement parameters:

Camera binning: 2Image size: 1024x1024Source setting: - Applied voltage: 80 kV - Current: 88 µA - Power: 7 WEffective pixel size: 10 µmOptical magnification: 0.4XExposure time: 10 s

Reconstruction settings:

Beam hardening correction: 0.05Filter: smooth - σ: 0.5Byte scaling: Min: -0.1; Max: 0.25
description: Folder and File Structure:

The dataset is organized by specimen (A, B, C, D and E).Within the folder for each particular specimen, five subfolders (labeled 0 to 4) contain reconstructed slice data for each compression stage.

Folder 0: Reference scan with no applied load.Folders 1–4: Scans acquired during successive compression stages. Each folder is named using the format:  '#COMPRESSION_IDENTER-DISPLACEMENT[µm]', indicating the stage and the corresponding indenter displacement.

In addition to the dataset itself (reconstructed image slices), each compression stage folder contains: - A .png file with acquisition parameters - A .png file with reconstruction settings - A .png preview of the 3D reconstructed volume
DOI: 10.5281/zenodo.15494222
title: Intermittent In-situ Uniaxial Compression of Foam Glasses under Micro-CT scan datasets - Sample B

description: Dataset Description:

This dataset contains micro-computed tomography (micro-CT) scans of porous foam glass specimens subjected to intermittent in-situ compression testing. The measurements were performed using an Xradia 510 Versa micro-CT scanner in combination with a Deben CT5000 in-situ compression cell.

Each specimen underwent five scans corresponding to different loading stages: an initial reference scan without applied compression (Stage 0), followed by four subsequent scans under increasing compressive loads.

This dataset specifically corresponds to one specimen out of a total of five scanned in the overall experimental campaign.
description: Measurement parameters:

Camera binning: 2Image size: 1024x1024Source setting: - Applied voltage: 80 kV - Current: 88 µA - Power: 7 WEffective pixel size: 10 µmOptical magnification: 0.4XExposure time: 10 s

Reconstruction settings:

Beam hardening correction: 0.05Filter: smooth - σ: 0.5Byte scaling: Min: -0.1; Max: 0.25
description: Folder and File Structure:

The dataset is organized by specimen (A, B, C, D and E).Within the folder for each particular specimen, five subfolders (labeled 0 to 4) contain reconstructed slice data for each compression stage.

Folder 0: Reference scan with no applied load.Folders 1–4: Scans acquired during successive compression stages. Each folder is named using the format:  '#COMPRESSION_IDENTER-DISPLACEMENT[µm]', indicating the stage and the corresponding indenter displacement.

In addition to the dataset itself (reconstructed image slices), each compression stage folder contains: - A .png file with acquisition parameters - A .png file with reconstruction settings - A .png preview of the 3D reconstructed volume
DOI: 10.5281/zenodo.15494266
title: Intermittent In-situ Uniaxial Compression of Foam Glasses under Micro-CT scan datasets - Sample C

description: Dataset Description:

This dataset contains micro-computed tomography (micro-CT) scans of porous foam glass specimens subjected to intermittent in-situ compression testing. The measurements were performed using an Xradia 510 Versa micro-CT scanner in combination with a Deben CT5000 in-situ compression cell.

Each specimen underwent five scans corresponding to different loading stages: an initial reference scan without applied compression (Stage 0), followed by four subsequent scans under increasing compressive loads.

This dataset specifically corresponds to one specimen out of a total of five scanned in the overall experimental campaign.
description: Measurement parameters:

Camera binning: 2Image size: 1024x1024Source setting: - Applied voltage: 80 kV - Current: 88 µA - Power: 7 WEffective pixel size: 10 µmOptical magnification: 0.4XExposure time: 10 s

Reconstruction settings:

Beam hardening correction: 0.05Filter: smooth - σ: 0.5Byte scaling: Min: -0.1; Max: 0.25
description: Folder and File Structure:

The dataset is organized by specimen (A, B, C, D and E).Within the folder for each particular specimen, five subfolders (labeled 0 to 4) contain reconstructed slice data for each compression stage.

Folder 0: Reference scan with no applied load.Folders 1–4: Scans acquired during successive compression stages. Each folder is named using the format:  '#COMPRESSION_IDENTER-DISPLACEMENT[µm]', indicating the stage and the corresponding indenter displacement.

In addition to the dataset itself (reconstructed image slices), each compression stage folder contains: - A .png file with acquisition parameters - A .png file with reconstruction settings - A .png preview of the 3D reconstructed volume
DOI: 10.5281/zenodo.15494267
title: Intermittent In-situ Uniaxial Compression of Foam Glasses under Micro-CT scan datasets - Sample C

description: Dataset Description:

This dataset contains micro-computed tomography (micro-CT) scans of porous foam glass specimens subjected to intermittent in-situ compression testing. The measurements were performed using an Xradia 510 Versa micro-CT scanner in combination with a Deben CT5000 in-situ compression cell.

Each specimen underwent five scans corresponding to different loading stages: an initial reference scan without applied compression (Stage 0), followed by four subsequent scans under increasing compressive loads.

This dataset specifically corresponds to one specimen out of a total of five scanned in the overall experimental campaign.
description: Measurement parameters:

Camera binning: 2Image size: 1024x1024Source setting: - Applied voltage: 80 kV - Current: 88 µA - Power: 7 WEffective pixel size: 10 µmOptical magnification: 0.4XExposure time: 10 s

Reconstruction settings:

Beam hardening correction: 0.05Filter: smooth - σ: 0.5Byte scaling: Min: -0.1; Max: 0.25
description: Folder and File Structure:

The dataset is organized by specimen (A, B, C, D and E).Within the folder for each particular specimen, five subfolders (labeled 0 to 4) contain reconstructed slice data for each compression stage.

Folder 0: Reference scan with no applied load.Folders 1–4: Scans acquired during successive compression stages. Each folder is named using the format:  '#COMPRESSION_IDENTER-DISPLACEMENT[µm]', indicating the stage and the corresponding indenter displacement.

In addition to the dataset itself (reconstructed image slices), each compression stage folder contains: - A .png file with acquisition parameters - A .png file with reconstruction settings - A .png preview of the 3D reconstructed volume
DOI: 10.15468/dl.tezpwk
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chysis bractescens Lindl."
 ]
}

 The dataset includes 168 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015272-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.