cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17882/110481
title: Breaking wave impact loads on a cylinder: model-scale experimental measurements and wave simulations from the DIMPACT project

description: This database consists in force measurements induced by breaking waves impacting a segmented circular cylinder. The database also contains measurements and numerical results regarding the breaking waves generated for this study.  These results were obtained during the PhD thesis of Florian Hulin (see Florian Hulin. Experimental study of the hydrodynamic loads generated by breaking wave impacts on floating offshore wind turbines. Mechanics [physics.med-ph]. ENSTA Bretagne - École nationale supérieure de techniques avancées Bretagne, 2024. English. ⟨NNT : 2024ENTA0004⟩. ⟨tel-04709649v2⟩). The experimental set-up and methodology are detailed in section 2 . The numerical approach used to simulate the waves is described in section 3. The experimental conditions of the different experiments and the database organization are described in detail in appendices A and B. 
 
The force measurements are stored in the file named impacts.zip. The wave simulation results and the wave profile measurements are stored in the file named waves.zip.
 
Abstract of the PhD thesis:
Breaking wave impacts may be responsible for the most severe hydrodynamic loads encountered during the life time of a floating offshore wind turbine, and significant progresses are required to predict these loads with confidence. We aimed to experimentally identify the different parameters of the waves and of the turbine which influence the impact force and to quantitatively assess their importance. The experiments were carried out in the wave flume of Ifremer, Brest. A segmented circular cylindrical mockup was used to measure the loads generated by focused breaking wave impacts. We used a new methodology based on a set of accelerometers to compensate for the force signal oscillations induced by the vibrations of the mockup, which are triggered by the impulsive nature of impact. An important effort was devoted to the characterisation of the impacting breaking waves in terms of geometry, crest speed and breaking strength. They were measured using a video camera and modelled with a fully non-linear potential flow solver. We investigated the influence of  the breaking strength of the impacting waves, the distance between the breaking location and the front face of the cylinder, the tilt angle of the cylinder and the horizontal velocity of the cylinder during impact.
DOI: 10.17882/111213
title: The reorganized turbulent eddies over ocean surface waves

description: The wind turbulence and surface waves were observed from a fixed platform located in the Marine Meteorological Science Experiment Base at Bohe of China Meteorological Administration in the South China Sea (21º26.5' N, 111º23.5' E). The measurements were performed from 08 May 2024 to 21 May 2024 and from 16 September to 10 October 2024. Two CPEC 310s mounted at 5.5 m and 9.0 m above the mean sea surface were used to observe wind turbulence at a frequency of 10 Hz during the first period. One CPEC 310 during the second period was used. The height was 10.0 m. The waves were observed by ADCP (Nortek Signature 1000) with a frequency of 4 Hz. The second period encountered two typhoons, e.g., tropical storm Soulik and a nameless storm.
The data provided are: 
The first period:
The wind speed at 10 m under neutral conditions derived from the lower and upper CPEC 310s (U10 N lower and U10 N upper)
The drag coefficients at 10 m under neutral conditions derived from the lower and upper CPEC 310s (CdN lower and CdN upper)
The heights of the lower and upper CPEC 310s (Height lower and Height upper). The height is changed as the water is changed by the tides.
The wave age and Charnock coefficients (Charnock lower and Charnock upper) derived from the lower and upper CPEC 310s.
The atmospheric stability (z/L upper and z/L down) derived from the lower and upper CPEC 310s.
The ratio of the horizontal integral length scales to their values under neutral conditions (f upper and f lower) derived from the lower and upper CPEC 310s.
The ratio of the vertical integral length scales to their values under neutral conditions (g upper and g lower) derived from the lower and upper CPEC 310s.
The turbulent friction velocity (u_star_t) observed by the lower CPEC 310s and the friction velocity (u_star);
The wave coherent stress (tao_wave) observed by the lower CPEC 310s
The roughness length (z0 lower and z0 upper) derived from the lower and upper CPEC 310s.
The second period:
The wind speed at 10 m under neutral conditions (U10 N)
The drag coefficients at 10 m under neutral conditions (CdN)
The wave age and Charnock coefficients (Charnock)
The atmospheric stability (z/L) 
The ratio of the horizontal integral length scales to their values under neutral conditions (f) 
The ratio of the vertical integral length scales to their values under neutral conditions (g)
DOI: 10.15468/dl.qrz7bx
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"BRA.13.608_2","matchCase":false},{"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 413 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006711-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr4f6p
title: Occurrence Download

description: A dataset containing 54060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anguilla rostrata",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 54060 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026942-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25502/c1ec-ey52/d
title: Parasitism of the whitefly, Bemisia tabaci in addition with the cassava resistant genotypes across four Cameroon Agro-ecology
DOI: 10.17632/558fwjg564
title: Appendix - Effectiveness of paracetamol in the treatment of hip and knee osteoarthritis pain in adults: Literature review and meta-analysis REB

description: Additional study materials for "Effectiveness of paracetamol in the treatment of hip and knee osteoarthritis pain in adults: Literature review and meta-analysis REB", including the research strategy, tables detailing the characteristics of the studies, tables for the Risk of Bias tool (ROB2) and tables for the GRADE methods.
DOI: 10.17632/558fwjg564.2
title: Appendix - Effectiveness of paracetamol in the treatment of hip and knee osteoarthritis pain in adults: Literature review and meta-analysis REB

description: Additional study materials for "Effectiveness of paracetamol in the treatment of hip and knee osteoarthritis pain in adults: Literature review and meta-analysis REB", including the research strategy, tables detailing the characteristics of the studies, tables for the Risk of Bias tool (ROB2) and tables for the GRADE methods.
DOI: 10.17632/gkc7gd2y66
title: A database on thermally induced surface reconstruction

description: A database on thermally induced surface reconstruction, including the main text and raw data from the supporting information.
DOI: 10.17632/gkc7gd2y66.1
title: A database on thermally induced surface reconstruction

description: A database on thermally induced surface reconstruction, including the main text and raw data from the supporting information.
DOI: 10.23636/2db1-pz43
title: Energy - Collection Seed List

description: London, UK
DOI: 10.15468/dl.q6guwg
title: Occurrence Download

description: A dataset containing 10529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "TaxonKey is Phaethontiformes",
 "Year 2023-2024"
 ]
}

 The dataset includes 10529 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026971-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j77p5tdpyg
title: Optimizing Lattice-Based Rafts for Distortion Mitigation in a GRCop-42 Laser Powder Bed Fusion Additive Manufactured Lower Hybrid Current Drive Launcher Utilizing Resin Based SLA Analogues

description: Laser Powder Bed Fusion (L-PBF) is a key enabling technology for rapid Additive Manufacturing (AM) of complex part geometries unachievable with traditional manufacturing techniques. AM of a high field side (HFS) lower hybrid current drive (LHCD) launcher was successfully demonstrated using Laser Powder Bed Fusion (L-PBF) of Glenn Research Copper 84 (GRCop-84). Coefficient of thermal expansion (CTE) mismatch between GRCop-84/42 and steel or Inconel build plates resulted in modest, though measurable, warping. Support structures called rafts provide a platform to decouple thermal stresses at the build-plate-component interface. An LCD-based stereolithography (SLA) photopolymer resin printer was used to rapidly optimize raft designs using a low-cost platform. Contraction of the photopolymer during curing produced volumetric reduction driver strain analogous to CTE-mismatch strain during LPBF. Raft geometries comprised of a lattice of cones, hexagons, triangles, and squares were optimized to minimize build-plate curvature. Raft solutions found with SLA to minimize build plate curvature and improve accuracy will be implemented in future L-PBF trials to reduce warping due to thermal stress.
DOI: 10.17632/j77p5tdpyg.2
title: Optimizing Lattice-Based Rafts for Distortion Mitigation in a GRCop-42 Laser Powder Bed Fusion Additive Manufactured Lower Hybrid Current Drive Launcher Utilizing Resin Based SLA Analogues

description: Laser Powder Bed Fusion (L-PBF) is a key enabling technology for rapid Additive Manufacturing (AM) of complex part geometries unachievable with traditional manufacturing techniques. AM of a high field side (HFS) lower hybrid current drive (LHCD) launcher was successfully demonstrated using Laser Powder Bed Fusion (L-PBF) of Glenn Research Copper 84 (GRCop-84). Coefficient of thermal expansion (CTE) mismatch between GRCop-84/42 and steel or Inconel build plates resulted in modest, though measurable, warping. Support structures called rafts provide a platform to decouple thermal stresses at the build-plate-component interface. An LCD-based stereolithography (SLA) photopolymer resin printer was used to rapidly optimize raft designs using a low-cost platform. Contraction of the photopolymer during curing produced volumetric reduction driver strain analogous to CTE-mismatch strain during LPBF. Raft geometries comprised of a lattice of cones, hexagons, triangles, and squares were optimized to minimize build-plate curvature. Raft solutions found with SLA to minimize build plate curvature and improve accuracy will be implemented in future L-PBF trials to reduce warping due to thermal stress.
DOI: 10.17632/48nvyj2tk7
title: Soil and vegetation data from a fire-affected temperate peatland-heathland landscape

description: These data were used to analyse the effects of a wildfire that took place on the 22nd of April 2020 in nature reserve 'Landschap de Liereman' in Oud-Turnhout, Belgium, affecting approximately 30 hectares. The data was gathered using a design of 15 paired burned and intact plots (n=30) across a peatland-heathland landscape. Plot coordinates are provided in the metadata. Vegetation cover of individual plant species was recorded for three consecutive years (2020-2022). Various soil parameters (bulk density, moisture content, pH, nutrient contents) were measured in both 2020 and 2022 and base saturation, cation exchange capacity and well as the individual exchangeable cations were measured in 2022.
DOI: 10.17632/48nvyj2tk7.1
title: Soil and vegetation data from a fire-affected temperate peatland-heathland landscape

description: These data were used to analyse the effects of a wildfire that took place on the 22nd of April 2020 in nature reserve 'Landschap de Liereman' in Oud-Turnhout, Belgium, affecting approximately 30 hectares. The data was gathered using a design of 15 paired burned and intact plots (n=30) across a peatland-heathland landscape. Plot coordinates are provided in the metadata. Vegetation cover of individual plant species was recorded for three consecutive years (2020-2022). Various soil parameters (bulk density, moisture content, pH, nutrient contents) were measured in both 2020 and 2022 and base saturation, cation exchange capacity and well as the individual exchangeable cations were measured in 2022.
DOI: 10.17632/7mrghm2bh4
title: AI in legal Education

description: Research Questions:
•What are the perceived benefits and limitations of Generative AI in completing legal academic 
tasks?
•How does Generative AI affect the quality of legal research and academic writing produced by YSJ 
Law students?
•How can YSJ Law School foster responsible use of AI tools while maintaining academic integrity?
This study adopts a quantitative Approach. Survey was conducted to gather data on the frequency, purposes, and perceived impact of Generative AI usage. The research focuses on law students enrolled at YSJ Law School across various academic years. An online questionnaire was distributed to the identified group of YSJ Law students to gather quantitative data.
 The analysis is based on 103 survey responses. The sample skews heavily toward Level 4 students (76.7%), limiting generalizability to advanced students. Response options appear to have used a truncated 1-4-5 scale for familiarity rather than a full 1-5 scale, which may affect interpretation. All percentage calculations exclude missing values where applicable.
DOI: 10.17632/7mrghm2bh4.1
title: AI in legal Education

description: Research Questions:
•What are the perceived benefits and limitations of Generative AI in completing legal academic 
tasks?
•How does Generative AI affect the quality of legal research and academic writing produced by YSJ 
Law students?
•How can YSJ Law School foster responsible use of AI tools while maintaining academic integrity?
This study adopts a quantitative Approach. Survey was conducted to gather data on the frequency, purposes, and perceived impact of Generative AI usage. The research focuses on law students enrolled at YSJ Law School across various academic years. An online questionnaire was distributed to the identified group of YSJ Law students to gather quantitative data.
 The analysis is based on 103 survey responses. The sample skews heavily toward Level 4 students (76.7%), limiting generalizability to advanced students. Response options appear to have used a truncated 1-4-5 scale for familiarity rather than a full 1-5 scale, which may affect interpretation. All percentage calculations exclude missing values where applicable.
DOI: 10.15468/dl.7wsm9j
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tabebuia hypoleuca"
 ]
}

 The dataset includes 71 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026974-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6scrcbtzbx
title: A Benchmark Image Dataset for Scabies Detection

description: This dataset contains clinical skin images for automated scabies detection using deep learning and computer vision techniques. The dataset has been prepared to support research in dermatological image analysis and to accompany a Data in Brief publication.

The dataset is organized into two main categories:

Original Data – Raw collected skin images

Augmented Data – Artificially expanded images generated from the original dataset to improve model robustness

Each category includes two classes:

Scabies

Healthy

All images are resized to a uniform resolution (224 × 224 pixels) and stored in JPG format to ensure compatibility with standard deep learning frameworks.

The original images were collected under a strict privacy protocol. Only affected hand regions were captured. No facial features or personally identifiable information are included in the dataset. All data have been anonymized prior to release.

Data augmentation techniques such as rotation, flipping, scaling, and brightness variation were applied to increase dataset diversity and enhance generalization performance in machine learning models. Augmented images are stored separately from the original images to maintain transparency and reproducibility.

This dataset is intended for:

Deep learning research

Medical image classification

Skin disease detection benchmarking

Computer vision applications in healthcare

The dataset may be used for academic and research purposes in accordance with the specified license.

If this dataset is used in research, please cite the associated Data in Brief publication.
DOI: 10.17632/6scrcbtzbx.1
title: A Benchmark Image Dataset for Scabies Detection

description: This dataset contains clinical skin images for automated scabies detection using deep learning and computer vision techniques. The dataset has been prepared to support research in dermatological image analysis and to accompany a Data in Brief publication.

The dataset is organized into two main categories:

Original Data – Raw collected skin images

Augmented Data – Artificially expanded images generated from the original dataset to improve model robustness

Each category includes two classes:

Scabies

Healthy

All images are resized to a uniform resolution (224 × 224 pixels) and stored in JPG format to ensure compatibility with standard deep learning frameworks.

The original images were collected under a strict privacy protocol. Only affected hand regions were captured. No facial features or personally identifiable information are included in the dataset. All data have been anonymized prior to release.

Data augmentation techniques such as rotation, flipping, scaling, and brightness variation were applied to increase dataset diversity and enhance generalization performance in machine learning models. Augmented images are stored separately from the original images to maintain transparency and reproducibility.

This dataset is intended for:

Deep learning research

Medical image classification

Skin disease detection benchmarking

Computer vision applications in healthcare

The dataset may be used for academic and research purposes in accordance with the specified license.

If this dataset is used in research, please cite the associated Data in Brief publication.
DOI: 10.17632/75nvstkb3m
title: Ouagadougou LST-R by greening

description: This dataset contains six tables of information on the municipality of Ouagadougou, Burkina Faso, and 12 folders of shapefiles. The average daytime and nighttime land surface temperatures (LST) as captured by ECOSTRESS in the 55 sectors during the heat peak of April-May 2023, 3 classes of land cover, and 8 classes of land use are gathered in Table 1. The 55-sector average LST at 24 dates between April 01 2021, and May 25 2025, as detected by ECOSTRESS and Landsat sensors, is shown in Table 2. The area (ha) to be planted along roads over 18 m wide, along the edges of utilities, and in vacant lands beyond the built-up area in 2023 is estimated in Table 3. The area to be planted according to three scenarios is presented in Table 4. The area to be planted per capita and per district, according to the 3 scenarios, is shown in Table 5. The multiple regression including categorical variable, barren land, tree canopy, and roads is presented in Table 6. 
The shapefile folders contain land cover (barren land and tree canopy) and land use classes (gardens, Industry, Informal settlements, paved roads, roads 18m wider, utilities, vacant lands, water bodies).
DOI: 10.17632/75nvstkb3m.2
title: Ouagadougou LST-R by greening

description: This dataset contains six tables of information on the municipality of Ouagadougou, Burkina Faso, and 12 folders of shapefiles. The average daytime and nighttime land surface temperatures (LST) as captured by ECOSTRESS in the 55 sectors during the heat peak of April-May 2023, 3 classes of land cover, and 8 classes of land use are gathered in Table 1. The 55-sector average LST at 24 dates between April 01 2021, and May 25 2025, as detected by ECOSTRESS and Landsat sensors, is shown in Table 2. The area (ha) to be planted along roads over 18 m wide, along the edges of utilities, and in vacant lands beyond the built-up area in 2023 is estimated in Table 3. The area to be planted according to three scenarios is presented in Table 4. The area to be planted per capita and per district, according to the 3 scenarios, is shown in Table 5. The multiple regression including categorical variable, barren land, tree canopy, and roads is presented in Table 6. 
The shapefile folders contain land cover (barren land and tree canopy) and land use classes (gardens, Industry, Informal settlements, paved roads, roads 18m wider, utilities, vacant lands, water bodies).