cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/98kpkwy698.2
title: Meal images and carbohydrate content pr. meal

description: The dataset comprises 240 images of meals, fruits, and vegetables, with the composed meals representing common Nordic cuisine. The collection includes 120 images without a size reference and 120 images with a size reference included in the frame, where the size reference is a student ID or library card. Consequently, the dataset contains 60 images of composed meals and 60 images of various fruits and vegetables, with each image having an identical counterpart that includes the size reference. All images are labeled with a number from 1 to 60 for fruits and vegetables and 1 to 60 for composed meals. The images were captured by the four authors, each contributing 60 images, taken from a bird's-eye perspective to ensure the food items are clearly visible and properly framed. All images were shot using smartphones equipped with cameras of 12 megapixels or higher, maintaining consistent angles and distances for optimal clarity. A consistent setting with a uniform background and natural lighting to minimize external variables were used. The ingredients for the meals, as well as the fruits and vegetables, were all purchased from Danish supermarkets. Additionally, an accompanying dataset provides the calculated carbohydrate content of the meals, fruits, and vegetables, which can serve as a baseline value. Users of this dataset should be aware that the images are not 100% representative of real-world conditions.
To provide a detailed characterization of the composite meals, these are defined as meals consisting of a combination of mixed ingredients, where in many cases the individual components cannot be easily separated visually due to blending, layering, or integration during preparation (e.g., stews, or soups where ingredients are intermixed). However, some composite meals feature components that remain visually distinct and separable (e.g., plated dishes with side items like proteins, grains, and vegetables arranged separately on the plate). No strict rule was enforced requiring the separation of components; instead, the meals were prepared to reflect typical real-world presentations, allowing for natural variability in how ingredients are combined or displayed. This approach ensures the dataset captures a realistic spectrum of meal compositions, from fully integrated mixtures to those with discernible elements.
For fruits and vegetables only the edible portions are depicted in terms of quantity, aligning with the actual weight typically consumed by individuals (excluding non-edible parts such as cores, stems, pits, or peels).
DOI: 10.15468/dl.js3ws5
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Arachniodes assamica)"
 ]
}

 The dataset includes 353 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009775-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7fpwx74jvc
title: Fine scale assessment of habitat requirements in the Hoolock Gibbon, Hoolock hoolock in Lawachara National Park using MaxEnt

description: We surveyed Western Hoolock Gibbons in Lawachara National Park, Northeast from April 2019 to January 2020 to confirm group compositions. Habitat data were collected using quadrats to record the abundance of plants and temporal variation in fruit availability for gibbons. Stratified random sampling method was followed for habitat data collection. In pre-established transects, 100m×100m quadrates were selected after every 500 m interval, 3 quadrates measuring 20m×20m were randomly incorporated within each 100m×100m quadrate. All data used to investigate the fine scale of habitat requirments in the Hooloch Gibbon in Lawachara Forest.
DOI: 10.17632/7fpwx74jvc.1
title: Fine scale assessment of habitat requirements in the Hoolock Gibbon, Hoolock hoolock in Lawachara National Park using MaxEnt

description: We surveyed Western Hoolock Gibbons in Lawachara National Park, Northeast from April 2019 to January 2020 to confirm group compositions. Habitat data were collected using quadrats to record the abundance of plants and temporal variation in fruit availability for gibbons. Stratified random sampling method was followed for habitat data collection. In pre-established transects, 100m×100m quadrates were selected after every 500 m interval, 3 quadrates measuring 20m×20m were randomly incorporated within each 100m×100m quadrate. All data used to investigate the fine scale of habitat requirments in the Hooloch Gibbon in Lawachara Forest.
DOI: 10.17632/f5ttc6xrkp
title: Dimethylcurcumin alleviates inflammation by regulating Glycolipid Metabolism and Arachidonic Acid Metabolism

description: This study hypothesizes that dimethyl curcumin can exert anti-inflammatory effects by regulating the function of macrophages, reducing the level of reactive oxygen species (ROS), improving behavioral performance, and influencing the transcriptional expression and binding of inflammatory-related genes to target proteins. The data include statistics on the number of macrophage aggregation and migration in zebrafish in the control group, the copper sulfate inflammation model group, and the di-methyl turmeric treatment group; statistics on the content of reactive oxygen species; behavioral data processing; raw data and analysis data of the transcriptome; PCR verification data and molecular docking data. These data indicate that di-methyl turmeric can exert anti-inflammatory effects through multiple pathways, including regulating macrophage function, eliminating reactive oxygen species, influencing the transcription of inflammation-related genes, and binding to key target proteins. This dataset provides a foundation for researchers in this field to deeply explore the anti-inflammatory mechanism of di-methyl turmeric, and offers data support for its subsequent drug development and clinical application.
DOI: 10.17632/f5ttc6xrkp.1
title: Dimethylcurcumin alleviates inflammation by regulating Glycolipid Metabolism and Arachidonic Acid Metabolism

description: This study hypothesizes that dimethyl curcumin can exert anti-inflammatory effects by regulating the function of macrophages, reducing the level of reactive oxygen species (ROS), improving behavioral performance, and influencing the transcriptional expression and binding of inflammatory-related genes to target proteins. The data include statistics on the number of macrophage aggregation and migration in zebrafish in the control group, the copper sulfate inflammation model group, and the di-methyl turmeric treatment group; statistics on the content of reactive oxygen species; behavioral data processing; raw data and analysis data of the transcriptome; PCR verification data and molecular docking data. These data indicate that di-methyl turmeric can exert anti-inflammatory effects through multiple pathways, including regulating macrophage function, eliminating reactive oxygen species, influencing the transcription of inflammation-related genes, and binding to key target proteins. This dataset provides a foundation for researchers in this field to deeply explore the anti-inflammatory mechanism of di-methyl turmeric, and offers data support for its subsequent drug development and clinical application.
DOI: 10.17632/2zkbktggd3
title: Raw Data files for 'The effect of inclusion-fluid fractionation on different isotopic systems used to date diamonds'

description: Raw Data files containing Raman, FTIR, EPMA, TIMS data and photographs.
DOI: 10.17632/2zkbktggd3.1
title: Raw Data files for 'The effect of inclusion-fluid fractionation on different isotopic systems used to date diamonds'

description: Raw Data files containing Raman, FTIR, EPMA, TIMS data and photographs.
DOI: 10.17632/p2xy2mdm6m
title: Research on Machine Learning Interatomic Potentials for Titanium Oxide Ceramic Materials

description: By adjusting the dataset size and hyperparameter settings, we have developed a Gaussian Approximation Potential (GAP) for titanium oxides based on machine learning methods. Through large-scale molecular dynamics simulations, we have calculated properties of rutile-type titanium oxide, such as lattice constants, thermal expansion, and thermal conductivity, which show excellent consistency with first-principles calculation results. In our work, we have discussed in detail the impact of hyperparameter selection in GAP on the accuracy of the potential function, laying the foundation for subsequent related research. The developed potential file is TiO-2.xml, and its calling format in LAMMPS is:

pair_style quip
pair_coeff * * TiO-2.xml "Potential xml_label=GAP_2023_3_3_480_2_14_8_334" 22 8.

The potential file has been uploaded to this dataset.
DOI: 10.17632/p2xy2mdm6m.1
title: Research on Machine Learning Interatomic Potentials for Titanium Oxide Ceramic Materials

description: By adjusting the dataset size and hyperparameter settings, we have developed a Gaussian Approximation Potential (GAP) for titanium oxides based on machine learning methods. Through large-scale molecular dynamics simulations, we have calculated properties of rutile-type titanium oxide, such as lattice constants, thermal expansion, and thermal conductivity, which show excellent consistency with first-principles calculation results. In our work, we have discussed in detail the impact of hyperparameter selection in GAP on the accuracy of the potential function, laying the foundation for subsequent related research. The developed potential file is TiO-2.xml, and its calling format in LAMMPS is:

pair_style quip
pair_coeff * * TiO-2.xml "Potential xml_label=GAP_2023_3_3_480_2_14_8_334" 22 8.

The potential file has been uploaded to this dataset.
DOI: 10.17632/by5d8k7vkk
title: Analysing Performance Trends in Women's Football: Technical Performance Data from the FIFA Women's World Cup 2023

description: This dataset contains event thecnhical performance data from all 64 matches of the FIFA Women’s World Cup 2023, covering 32 national teams. The data were obtained from FIFA’s Enhanced Football Intelligence Metrics department. The dataset was compiled to benchmark offensive performance across group-stage and knockout-stage teams, enabling comparisons of match outcomes, correlations among metrics, and effect size analyses. It can be used by researchers, coaches, and analysts to study offensive playing styles, team identities, and tactical trends in elite women’s football.
DOI: 10.15468/dl.tfc3w2
title: Occurrence Download

description: A dataset containing 17709 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Emydoidea blandingii)"
 ]
}

 The dataset includes 17709 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009776-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/by5d8k7vkk.1
title: Analysing Performance Trends in Women's Football: Technical Performance Data from the FIFA Women's World Cup 2023

description: This dataset contains event thecnhical performance data from all 64 matches of the FIFA Women’s World Cup 2023, covering 32 national teams. The data were obtained from FIFA’s Enhanced Football Intelligence Metrics department. The dataset was compiled to benchmark offensive performance across group-stage and knockout-stage teams, enabling comparisons of match outcomes, correlations among metrics, and effect size analyses. It can be used by researchers, coaches, and analysts to study offensive playing styles, team identities, and tactical trends in elite women’s football.
DOI: 10.17632/7fdfpnr4sf
title: SiETV4 transcriptome sequencing

description: This dataset contains transcriptomic profiles of immortalized human keratinocytes (HaCaT) cultured under high glucose conditions following ETV4 knockdown. RNA sequencing was performed using the Illumina platform to investigate how ETV4 suppression modulates gene expression in a diabetic-like microenvironment.
The experimental design compared two groups: high glucose control (HG) and ETV4-knockdown under high glucose (HG+siETV4). Bioinformatics analysis revealed differentially expressed genes. Pathway enrichment analysis demonstrated significant alterations in inflammatory response, extracellular matrix organization, and apoptosis pathways. 
Transcription factor binding analysis confirmed enrichment of ETS family motifs among regulated genes, supporting ETV4's role as a transcriptional hub in hyperglycemic stress. These findings provide mechanistic insights into diabetic skin complications and identify ETV4 as a potential therapeutic target. The dataset enables further exploration of ETV4-regulated networks and biomarker discovery for diabetic dermatopathies.
DOI: 10.17632/7fdfpnr4sf.1
title: SiETV4 transcriptome sequencing

description: This dataset contains transcriptomic profiles of immortalized human keratinocytes (HaCaT) cultured under high glucose conditions following ETV4 knockdown. RNA sequencing was performed using the Illumina platform to investigate how ETV4 suppression modulates gene expression in a diabetic-like microenvironment.
The experimental design compared two groups: high glucose control (HG) and ETV4-knockdown under high glucose (HG+siETV4). Bioinformatics analysis revealed differentially expressed genes. Pathway enrichment analysis demonstrated significant alterations in inflammatory response, extracellular matrix organization, and apoptosis pathways. 
Transcription factor binding analysis confirmed enrichment of ETS family motifs among regulated genes, supporting ETV4's role as a transcriptional hub in hyperglycemic stress. These findings provide mechanistic insights into diabetic skin complications and identify ETV4 as a potential therapeutic target. The dataset enables further exploration of ETV4-regulated networks and biomarker discovery for diabetic dermatopathies.
DOI: 10.15468/dl.8wshrp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-75.579 7.78307,-75.30487 7.78307,-75.30487 7.94148,-75.579 7.94148,-75.579 7.78307))",
 "Geometry POLYGON((-77.01041 6.34126,-75.22923 6.34126,-75.22923 8.33754,-77.01041 8.33754,-77.01041 6.34126))"
 ]
 },
 "HasGeospatialIssue is false",
 "TaxonKey is Leopardus wiedii"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009777-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqjpn3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania carinata",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009778-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/23ck4m43wx
title: digital image analysis aided Adulteration Detection Data Set for Fennel Powder adulterated with wood

description: Adulteration Detection of Powder with Wood 
About Fennel Powder 
Contains dietary fiber, vitamins (A, C, B-complex), 
Adulteration Issue
Presence of rice husk reduces purity, nutritional value, and may cause digestive discomfort.
Visual detection is difficult as powdered rice husk blends with Fennel powder.
Detection Methodology
Dataset creation: Images of pure and adulterated Fennel powder with varying rice husk percentages, labelled by experts.
Image Preprocessing: Techniques like grayscale, RGB, HSV, median smoothing, adaptive thresholding, and edge detection to enhance visual differences.
Feature Extraction: Identify texture, color, and surface pattern differences between pure and adulterated samples.
Sample preparation
Full-grown Fennel powder of local high-yield variety were collected from [maliha, Malda, west bengal, india]. Time for conducting 9.00 am to 5.00 pm. The final moisture content of the dried seeds was 4–5% (dry weight basis), and The total ash content of Fennel powder typically ranges from 5% to 8%, depending on the source and processing methods
The dried seeds were ground using a mixer grinder (500 W, grinding jar capacity 0.5 L, hybrid motor) for 9 min (3 min per cycle, total 3 cycles, 18,000 rpm). The resulting powder was passed through a 60-mesh sieve, and the undersized fraction was considered pure Fennel powder.
Rice husk was collected from a local rice mill, cleaned to remove dust and impurities, and oven-dried at 50 °C for 4 h to ensure complete dryness. The dried husk was ground using a hammer mill and passed through a 60-mesh sieve. The undersized fraction was considered as the adulterant.
Fennel powder was mixed thoroughly with rice husk at different proportions (0%,10%, 20%, 30%, 40%, and 50%, 100% by weight) to prepare a homogeneous mixture of adulterated samples.
Image Acquisition
In total, 7 sets of samples were prepared: 100% pure Fennel powder, 100% rice husk powder, and 10 sets of adulterated samples containing 5–50% rice husk by weight. A total of 20 equal-sized cells were drawn on a white A4 paper sheet (210 mm × 297 mm, 80 gsm). The samples were spread over the paper in a thin layer. Thus, 20 equal-sized cells were loaded with similar samples (Fig. 1). In total, 7× 20 = 140 images were captured.
Each of the cells was photographed separately using a Realme C63 5g smartphone (Android 15 Fun touch unisoc T6 12, processor, MediaTek Dimensity 6300MP f/2.2 (wide), 2 MP f/2.4 (macro), 8 MP f/2.2 (front), 1/3.06", 1.12 µm) without flash. The perpendicular distance between the sample surface and the camera lens was maintained at 32 cm.
DOI: 10.17632/23ck4m43wx.1
title: digital image analysis aided Adulteration Detection Data Set for Fennel Powder adulterated with wood

description: Adulteration Detection of Powder with Wood 
About Fennel Powder 
Contains dietary fiber, vitamins (A, C, B-complex), 
Adulteration Issue
Presence of rice husk reduces purity, nutritional value, and may cause digestive discomfort.
Visual detection is difficult as powdered rice husk blends with Fennel powder.
Detection Methodology
Dataset creation: Images of pure and adulterated Fennel powder with varying rice husk percentages, labelled by experts.
Image Preprocessing: Techniques like grayscale, RGB, HSV, median smoothing, adaptive thresholding, and edge detection to enhance visual differences.
Feature Extraction: Identify texture, color, and surface pattern differences between pure and adulterated samples.
Sample preparation
Full-grown Fennel powder of local high-yield variety were collected from [maliha, Malda, west bengal, india]. Time for conducting 9.00 am to 5.00 pm. The final moisture content of the dried seeds was 4–5% (dry weight basis), and The total ash content of Fennel powder typically ranges from 5% to 8%, depending on the source and processing methods
The dried seeds were ground using a mixer grinder (500 W, grinding jar capacity 0.5 L, hybrid motor) for 9 min (3 min per cycle, total 3 cycles, 18,000 rpm). The resulting powder was passed through a 60-mesh sieve, and the undersized fraction was considered pure Fennel powder.
Rice husk was collected from a local rice mill, cleaned to remove dust and impurities, and oven-dried at 50 °C for 4 h to ensure complete dryness. The dried husk was ground using a hammer mill and passed through a 60-mesh sieve. The undersized fraction was considered as the adulterant.
Fennel powder was mixed thoroughly with rice husk at different proportions (0%,10%, 20%, 30%, 40%, and 50%, 100% by weight) to prepare a homogeneous mixture of adulterated samples.
Image Acquisition
In total, 7 sets of samples were prepared: 100% pure Fennel powder, 100% rice husk powder, and 10 sets of adulterated samples containing 5–50% rice husk by weight. A total of 20 equal-sized cells were drawn on a white A4 paper sheet (210 mm × 297 mm, 80 gsm). The samples were spread over the paper in a thin layer. Thus, 20 equal-sized cells were loaded with similar samples (Fig. 1). In total, 7× 20 = 140 images were captured.
Each of the cells was photographed separately using a Realme C63 5g smartphone (Android 15 Fun touch unisoc T6 12, processor, MediaTek Dimensity 6300MP f/2.2 (wide), 2 MP f/2.4 (macro), 8 MP f/2.2 (front), 1/3.06", 1.12 µm) without flash. The perpendicular distance between the sample surface and the camera lens was maintained at 32 cm.
DOI: 10.15468/dl.jbxy9n
title: Occurrence Download

description: A dataset containing 560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania carinata",
 "Country is Saudi Arabia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 560 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009779-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zv7xkms4m2
title: Kooijman, Noordijk & van Til 2025
DOI: 10.17632/zv7xkms4m2.1
title: Kooijman, Noordijk & van Til 2025
DOI: 10.15468/dl.6qv54c
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania carinata",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 151 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009780-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x52kt9p5sj
title: Dataset on Stability Analysis of High Biomass and Yield in Maize Across Multiple Genotypes and Environments under Normal and Intercropping Systems

description: This dataset contains raw data collected from field experiments involving 20 maize genotypes grown in various environments with replicated blocks. The primary aim of the study was to evaluate biomass production and grain yield performance under two cropping systems: sole cropping and intercropping.

The dataset includes genotype codes, environmental identifiers, replication numbers, grain yield (tons per hectare), and total biomass (kilograms per hectare). These data support in-depth stability analyses, including biplot visualizations and the Genotype Stability Index (GSI), facilitating the assessment of adaptability and consistency of maize genotypes across diverse agro-ecological contexts.

Researchers in plant genetics, breeding, and agronomy can leverage this dataset to identify superior genotypes and implement sustainable cultivation strategies. Additionally, the open availability of this dataset promotes scientific transparency, reproducibility, and enables further meta-analytical research on crop stability.