cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.k28vj9
title: Occurrence Download

description: A dataset containing 3624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Acacia longifolia"
 ]
}

 The dataset includes 3624 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002407-250710112747441/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15840176
title: Industrial production and characterization of biochar and rock-enhanced biochar

description: This dataset includes a detailed description on how biochar and rock-enhanced (RE) biochar was produced at industrial scale. It further characterizes the biochar and RE-biochar following the standards of the European Biochar Certificate (EBC, 2024).
DOI: 10.15468/dl.fxfdw6
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphibalanus reticulatus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002408-250710112747441/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pc8dz32dd4
title: TMJ osteoarthritis in horses

description: This data set aims to share material related to the diagnosis of horses suspected of TMJ osteoarthritis.
DOI: 10.17632/pc8dz32dd4.1
title: TMJ osteoarthritis in horses

description: This data set aims to share material related to the diagnosis of horses suspected of TMJ osteoarthritis.
DOI: 10.17632/n6mt4xp68j.1
title: Dataset from the Co-Heating Tests, QUB Tests and Thermal Transmittance Tests (U-value) conducted in dwellings of an eco-renovated heritage building located in Vitoria-Gasteiz, using electrical heating and the existing aerothermal heat pump system

description: A Monitoring and Control System (MCS) composed by two MCS, fixed and mobile MCS, was implemented to conduct several tests aimed at characterizing the thermal envelope of a building and estimating its Heat Transfer Coefficient (HTC). These tests included the U-value Test, QUB Test, and Co-Heating Test. In the Co-Heating Test, the dwelling was heated during different periods using both electric heaters and the installed aerothermal (heat pump) system.

The two studied dwellings are living labs of a heritage building in Vitoria-Gasteiz (Spain), retrofitted in 2019 as part of the European project ENERPAT-SUDOE: Experimentation in the Eco-Renovation of Old Built Heritage.

A Heating Transmittance Tests were conducted on the building envelope using 37 sensors strategically installed across two dwellings. In an unoccupied dwelling, the QUB Test and Co-Heating Test, were also performed, with an additional 93 sensors deployed. In total, the dataset includes 130 sensors measuring 192 physical parameters from October 26, 2019 at 15:53:00 to November 05, 2024 at 23:59:00.
 
This dataset contributes to advancing the estimation of the Heat Transfer Coefficient (HTC) and the overall heat loss (UA-value) of the thermal envelope in retrofitted buildings, supporting improved energy performance evaluation.
DOI: 10.17632/d3cw4gyz85
title: CNN-GNN-Text

description: This source code and data are part of a research project to develop an efficient text representation architecture for web apps. The current version is suited for text classification tasks.
DOI: 10.17632/d3cw4gyz85.4
title: CNN-GNN-Text

description: This source code and data are part of a research project to develop an efficient text representation architecture for web apps. The current version is suited for text classification tasks.
DOI: 10.17632/vfzy5c57x9
title: Supplementary files - Starter CP content for dairy calves

description: This file contains the supplementary tables of the paper titled "IMPACT OF REDUCING STARTER FEED CRUDE PROTEIN CONTENT WITH DIFFERENT MILK ALLOWANCES ON THE PERFORMANCE AND NITROGEN BALANCE IN DAIRY CALVES".
DOI: 10.17632/vfzy5c57x9.1
title: Supplementary files - Starter CP content for dairy calves

description: This file contains the supplementary tables of the paper titled "IMPACT OF REDUCING STARTER FEED CRUDE PROTEIN CONTENT WITH DIFFERENT MILK ALLOWANCES ON THE PERFORMANCE AND NITROGEN BALANCE IN DAIRY CALVES".
DOI: 10.17632/wbvb4whbks
title: Parasitic Egg Image Database

description: This dataset is a curated collection of images showing parasitic eggs found in ruminant fecal samples, focusing on five commonly observed species in Bangladesh and the Indian subcontinent: Fasciola spp., Paramphistomum spp., Balantidium coli, Ascaris spp., and stomach worms from the Trichostrongiloidae family. The images were captured using light microscopy following standardized procedures to ensure consistent clarity and quality. Negative control images come from samples without visible parasites, while additional images were sourced from peer-reviewed journals and reliable online platforms. Each parasite type has its own folder containing 50 labeled images that highlight key morphological features essential for accurate identification and classification. Alongside the 250 parasitic egg images, the dataset includes 300 negative control images. All images are available in JPG, JPEG, and PNG formats. Each folder also contains an Excel file with detailed information about the source, collection context, and sample metadata. This dataset was developed to address the lack of organized and accessible image repositories of livestock parasites in South Asia, particularly in Bangladesh where parasitic infestations in ruminants are common. Traditional diagnostic techniques rely heavily on microscopy, which requires expertise and is often time-consuming. By providing a publicly accessible and well-structured visual reference, this dataset aims to improve the efficiency of parasitological diagnosis and training. It is also intended to support researchers in machine learning and computer vision by offering distinct shapes, shell structures, and internal features of parasite eggs that are valuable for automated classification and morphological studies. This resource is designed to assist veterinary parasitologists, epidemiologists, researchers, educators, and students. It encourages reuse for academic training, comparative research, model development, and educational purposes. Users are invited to cite this dataset in relevant work and refer to the accompanying README file for comprehensive guidance on image formats, metadata, and data organization.
DOI: 10.17632/wbvb4whbks.1
title: Parasitic Egg Image Database

description: This dataset is a curated collection of images showing parasitic eggs found in ruminant fecal samples, focusing on five commonly observed species in Bangladesh and the Indian subcontinent: Fasciola spp., Paramphistomum spp., Balantidium coli, Ascaris spp., and stomach worms from the Trichostrongiloidae family. The images were captured using light microscopy following standardized procedures to ensure consistent clarity and quality. Negative control images come from samples without visible parasites, while additional images were sourced from peer-reviewed journals and reliable online platforms. Each parasite type has its own folder containing 50 labeled images that highlight key morphological features essential for accurate identification and classification. Alongside the 250 parasitic egg images, the dataset includes 300 negative control images. All images are available in JPG, JPEG, and PNG formats. Each folder also contains an Excel file with detailed information about the source, collection context, and sample metadata. This dataset was developed to address the lack of organized and accessible image repositories of livestock parasites in South Asia, particularly in Bangladesh where parasitic infestations in ruminants are common. Traditional diagnostic techniques rely heavily on microscopy, which requires expertise and is often time-consuming. By providing a publicly accessible and well-structured visual reference, this dataset aims to improve the efficiency of parasitological diagnosis and training. It is also intended to support researchers in machine learning and computer vision by offering distinct shapes, shell structures, and internal features of parasite eggs that are valuable for automated classification and morphological studies. This resource is designed to assist veterinary parasitologists, epidemiologists, researchers, educators, and students. It encourages reuse for academic training, comparative research, model development, and educational purposes. Users are invited to cite this dataset in relevant work and refer to the accompanying README file for comprehensive guidance on image formats, metadata, and data organization.
DOI: 10.17632/9r48w8s3ky
title: Regression Analysis for The Container Paper

description: Regression Analysis
DOI: 10.17632/9r48w8s3ky.1
title: Regression Analysis for The Container Paper

description: Regression Analysis
DOI: 10.17632/9j324ffwnz
title: DOPS_2025_v1.0

description: This dataset contains comprehensive clinical and analytical data from a study investigating the safety and efficacy of a Dendrobium officinale and Panax quinquefolius compound formulation. The dataset includes pre- and post-intervention measurements from 201 participants, documenting fatigue symptoms, immune parameters, and quality of life metrics.

The xlsx file is structured with the following key components:

Demographic information (age, gender, health history)
Baseline clinical measurements
Post-intervention clinical measurements
Immune biomarker values (pre- and post-intervention)
Quality of life assessment scores
Adverse event documentation
All data has been anonymized in compliance with privacy regulations. Missing values are marked as "NA". The dataset supports all statistical analyses and deep learning-enhanced clustering presented in our manuscript "Safety and Efficacy Analysis of Dendrobium officinale and Panax quinquefolius Compound Formulation: Integrating Deep Learning with Traditional Statistical Methods."
DOI: 10.17632/9j324ffwnz.1
title: DOPS_2025_v1.0

description: This dataset contains comprehensive clinical and analytical data from a study investigating the safety and efficacy of a Dendrobium officinale and Panax quinquefolius compound formulation. The dataset includes pre- and post-intervention measurements from 201 participants, documenting fatigue symptoms, immune parameters, and quality of life metrics.

The xlsx file is structured with the following key components:

Demographic information (age, gender, health history)
Baseline clinical measurements
Post-intervention clinical measurements
Immune biomarker values (pre- and post-intervention)
Quality of life assessment scores
Adverse event documentation
All data has been anonymized in compliance with privacy regulations. Missing values are marked as "NA". The dataset supports all statistical analyses and deep learning-enhanced clustering presented in our manuscript "Safety and Efficacy Analysis of Dendrobium officinale and Panax quinquefolius Compound Formulation: Integrating Deep Learning with Traditional Statistical Methods."
DOI: 10.17632/hhr76c6bds
title: Data Base - Student Use of Artificial Intelligence in Academic Work

description: Standardized ad hoc questionnaire designed to examine the relationship between university students' use of Generative AI (GAI) platforms for academic work in El Salvador and practices that may lead to unethical applications of these technological resources. The instrument proposes a Scale-type construct to assess the habitual and normalized use of these platforms (Part 2 of the Instrument). Additionally, it includes a comparison of perception variables regarding this dynamic (Part 3 of the Instrument).
DOI: 10.17632/hhr76c6bds.1
title: Data Base - Student Use of Artificial Intelligence in Academic Work

description: Standardized ad hoc questionnaire designed to examine the relationship between university students' use of Generative AI (GAI) platforms for academic work in El Salvador and practices that may lead to unethical applications of these technological resources. The instrument proposes a Scale-type construct to assess the habitual and normalized use of these platforms (Part 2 of the Instrument). Additionally, it includes a comparison of perception variables regarding this dynamic (Part 3 of the Instrument).
DOI: 10.17632/dj3cs2psm9
title: Acoustic Materials and Assemblies and Embodied Carbon Emissions for Pachyderm Plug-In

description: These two files provide material, acoustical, and embodied carbon (life cycle assessment modules A1-A3) information and assumptions made to conduct cradle-to-gate life cycle assessments in the Pachyderm plug-in for Grasshopper (Rhino 8+). The files provide information for specific materials and wall assemblies.
DOI: 10.15468/dl.8me3nn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balanus improvisus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002410-250710112747441/datasets/export for details.
DOI: 10.17632/dj3cs2psm9.1
title: Acoustic Materials and Assemblies and Embodied Carbon Emissions for Pachyderm Plug-In

description: These two files provide material, acoustical, and embodied carbon (life cycle assessment modules A1-A3) information and assumptions made to conduct cradle-to-gate life cycle assessments in the Pachyderm plug-in for Grasshopper (Rhino 8+). The files provide information for specific materials and wall assemblies.
DOI: 10.17632/cfxky63n4b
title: Exploring the Factors Affecting Teachers' Use of Digital Tools in EFL Context

description: This dataset contains anonymised survey responses from 165 English as a Foreign Language (EFL) teachers in Bosnia and Herzegovina. The data were collected via an online questionnaire and include demographic information (e.g., education level, years of experience, type and place of employment, CALL training) and responses related to familiarity with and usage of digital tools, digital platforms, and learning management systems (LMS) in EFL teaching contexts. The dataset was used to examine differences and predictive relationships based on demographic variables in a quantitative study of digital tool integration in language education.
DOI: 10.17632/cfxky63n4b.1
title: Exploring the Factors Affecting Teachers' Use of Digital Tools in EFL Context

description: This dataset contains anonymised survey responses from 165 English as a Foreign Language (EFL) teachers in Bosnia and Herzegovina. The data were collected via an online questionnaire and include demographic information (e.g., education level, years of experience, type and place of employment, CALL training) and responses related to familiarity with and usage of digital tools, digital platforms, and learning management systems (LMS) in EFL teaching contexts. The dataset was used to examine differences and predictive relationships based on demographic variables in a quantitative study of digital tool integration in language education.
DOI: 10.17632/hz26vtj2rz.1
title: Data and Materials for Nesslage et al. 2025 - Hydrologically informed modelling of plant species richness across a vernal pool complex using UAV-LiDAR

description: The repository is organized in terms of the data used in the Nesslage et al. 2025 study titled 'Hydrologically informed modelling of plant species richness across a vernal pool complex using UAV-LiDAR', the outputs from the statistical analyses performed, and the scripts used to perform the analyses on the data. 

We reasoned that as hydrology is an important driver of the distribution of plant communities across vernal pools, we should be able to use digital elevation models obtained over vernal pool complexes with drone-based LiDAR to generate hydrological proxies that enable prediction of plant spatial patterns. We generated high resolution (1m) hydrologic proxies related to hydroperiod, hydrologic connectivity, and soil moisture from drone-mounted LiDAR and created models to estimate the number of total plant species, as well as the number of forbs and graminoids across a vernal pool complex. We found that models using UAV-LiDAR derived parameters enabled spatial predictions of plant species richness to within 2-3 species. Herein, we provide the data, outputs of the statistical analysis, and the scripts to enable reproduction of the results obtained.
DOI: 10.17632/s8ktcghv5x
title: Counselor Mindfulness and Client Outcomes

description: This data includes counselor trainee data on mindfulness, therapeutic presence, and trauma. It also includes client data on symptom outcomes and perception of their counselor's therapeutic presence.
DOI: 10.5281/zenodo.15861977
title: Data for: Influence of shear effects on quasi-two-dimensional magnetohydrodynamics Rayleigh-Bénard convection
DOI: 10.17632/s8ktcghv5x.1
title: Counselor Mindfulness and Client Outcomes

description: This data includes counselor trainee data on mindfulness, therapeutic presence, and trauma. It also includes client data on symptom outcomes and perception of their counselor's therapeutic presence.
DOI: 10.5281/zenodo.15861976
title: Data for: Influence of shear effects on quasi-two-dimensional magnetohydrodynamics Rayleigh-Bénard convection
DOI: 10.17632/byznt6pd47
title: Mg fertilizer for grass

description: Data for Increasing yield and mitigating environmental emissions via applying suitable magnesium fertilizer in forage production
DOI: 10.17632/byznt6pd47.1
title: Mg fertilizer for grass

description: Data for Increasing yield and mitigating environmental emissions via applying suitable magnesium fertilizer in forage production
DOI: 10.17632/8fjyrbwfrc
title: FBL facilitates interstrand DNA crosslink repair by 2'-O-methylating FANCD2 mRNA of congwen gao .sample et al.

description: Our findings uncover a novel epitranscriptional mechanism governing ICL repair, wherein FBL-dependent methylation of FANCD2 mRNA ensures genomic stability. This represents a previously unrecognized role of FBL in ICL repair. These results not only expand our understanding of FA pathway regulation but also provide insights into the molecular basis of FA-related hematologic disorders.
DOI: 10.17632/8fjyrbwfrc.1
title: FBL facilitates interstrand DNA crosslink repair by 2'-O-methylating FANCD2 mRNA of congwen gao .sample et al.

description: Our findings uncover a novel epitranscriptional mechanism governing ICL repair, wherein FBL-dependent methylation of FANCD2 mRNA ensures genomic stability. This represents a previously unrecognized role of FBL in ICL repair. These results not only expand our understanding of FA pathway regulation but also provide insights into the molecular basis of FA-related hematologic disorders.
DOI: 10.17632/jgtb95x6kf
title: Sapota Fruit Datasets

description: These datasets support research in quality control, classification, and visual recognition of Sapota fruit. Dataset-1 and Dataset-2 consist of images of Sapota fruit, categorized based on their visual and physical characteristics. The images are classified into two groups: spoiled fruit and fresh fruit, with the fresh fruit further sorted according to size—small, medium, and large. Dataset-1 contains images sized 224x224 pixels with a fixed white background. Dataset-2 includes images at their original size of 4000x3000 pixels, with the background removed and annotations saved in a text file. Physical parameters for the original dataset are saved in Excel files, which eventually make Dataset-1 and Dataset-2.
The Dataset-3 includes images captured under various backgrounds, showcasing different sizes of Sapota fruit. Overall, this dataset aims to facilitate research in quality control, classification, and visual recognition of Sapota fruit.
Dataset-1 includes images sized 224x224 pixels with a fixed white background, while Dataset-2 features images at their original size of 4000x3000 pixels, with the background removed and annotations saved in a text file. Dataset-3 contains images captured under various backgrounds, showcasing different sizes of Sapota fruit.

Overall, these datasets are designed to support research on Sapota fruit quality.
DOI: 10.17632/jgtb95x6kf.2
title: Sapota Fruit Datasets

description: These datasets support research in quality control, classification, and visual recognition of Sapota fruit. Dataset-1 and Dataset-2 consist of images of Sapota fruit, categorized based on their visual and physical characteristics. The images are classified into two groups: spoiled fruit and fresh fruit, with the fresh fruit further sorted according to size—small, medium, and large. Dataset-1 contains images sized 224x224 pixels with a fixed white background. Dataset-2 includes images at their original size of 4000x3000 pixels, with the background removed and annotations saved in a text file. Physical parameters for the original dataset are saved in Excel files, which eventually make Dataset-1 and Dataset-2.
The Dataset-3 includes images captured under various backgrounds, showcasing different sizes of Sapota fruit. Overall, this dataset aims to facilitate research in quality control, classification, and visual recognition of Sapota fruit.
Dataset-1 includes images sized 224x224 pixels with a fixed white background, while Dataset-2 features images at their original size of 4000x3000 pixels, with the background removed and annotations saved in a text file. Dataset-3 contains images captured under various backgrounds, showcasing different sizes of Sapota fruit.

Overall, these datasets are designed to support research on Sapota fruit quality.
DOI: 10.17632/h9jyw4tnx2.1
title: Raw Data_Augmented Reality Integration Strategies in Marketing

description: This is the raw data of the title paper: Augmented reality integration strategies in marketing: A scientific mapping for sustainable approaches, use the bibliometrics analysis
DOI: 10.17632/w8d72wyh9k
title: 4PADAFE and Generative AI in MOOC. (Dataset)

description: The collected data is openly accessible through the Mendeley Dataset repository. The quantitative analysis focused on responses to closed-ended questions, enabling the assessment of participant satisfaction, the effectiveness of each phase of the 4PADAFE methodology, and the influence of generative artificial intelligence (GAI) tools on the MOOC course design process.
DOI: 10.17632/w8d72wyh9k.2
title: 4PADAFE and Generative AI in MOOC. (Dataset)

description: The collected data is openly accessible through the Mendeley Dataset repository. The quantitative analysis focused on responses to closed-ended questions, enabling the assessment of participant satisfaction, the effectiveness of each phase of the 4PADAFE methodology, and the influence of generative artificial intelligence (GAI) tools on the MOOC course design process.