cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nbv7yvhkmf.1
title: World’s Top 25 Biodiversity Hotspots Losing Species Fast – What the Data Reveals

description: This dataset showcases global patterns in biodiversity loss by highlighting the top 25 countries with the highest number of threatened species across three critical groups: plants, vertebrates, and invertebrates. Sourced from UNdata and last updated in November 2024, the data spans from 2004 to 2023. Each entry includes the country, year, and corresponding threat values, offering a comparative view of species vulnerability over time. The dataset has been cleaned, filtered, and categorized using Python (Pandas), with separate CSV files created for each species group. Visualizations are provided through interactive horizontal bar charts, enabling easy exploration via a year selector. This resource is ideal for conservation research, biodiversity education, and policy analysis focused on global ecological trends.
Hypothesis
-----------
We believe that countries with higher rates of industrialization, deforestation, and habitat disruption are likely to report a greater number of threatened species across plants, vertebrates, and invertebrates. By identifying the top 25 countries in each group over time, we aim to reveal global patterns of ecological stress that often go unnoticed in day-to-day policy decisions.

Notable Findings
-------------------
Some countries consistently rank high across all three categories, suggesting systemic biodiversity stress. Nations like Indonesia, Brazil, and India appear repeatedly in the top 25, highlighting the tension between economic development and environmental conservation. Interestingly, some smaller island nations show disproportionately high numbers of threatened species, underscoring their unique ecological vulnerability. This dataset also shows that invertebrates, often overlooked in conservation efforts, face significant threats in both developed and developing regions.

How the Data Was Gathered
-------------------------------
The data was sourced from UNdata, last accessed in November 2024, and includes annual records from 2004 to 2023. We focused on three key columns: country, year, and number of threatened species. Using Python (Pandas), we cleaned the dataset, filtered out continental aggregates, and separated countries into three species groups: plants, invertebrates, and vertebrates. For clarity, we selected only the top 25 countries per group for each year. The data was then structured into CSV files and visualized using Chart.js, making it easy to explore trends via an interactive year selector.
DOI: 10.15468/dl.5bqbqu
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is SysTax - Zoological Collections",
 "TaxonKey is Melanargia russiae Esper, 1783"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009464-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kddgphck3b.1
title: InaTRC: Indonesia Toll Road Vehicle Classification Dataset

description: InaTRC is an annotated CCTV image dataset developed for vehicle classification on Indonesian toll roads. The dataset is designed based on the vehicle classification system used in Indonesia’s toll tariff regulations, which categorizes vehicles into five classes as follows:
Class-1: Non-truck vehicles, including sedans, pick-ups, minibusses, buses, MPVs, and SUVs.
Class-2: Trucks with two axles.
Class-3: Trucks with three axles.
Class-4: Trucks with four axles.
Class-5: Trucks with five or more axles.
The dataset contains a total of 3,250 images, which were collected from March 2022 to October 2022. These images are divided into three subsets using an 80:10:10 ratio, resulting in 2,600 images for training, 325 images for validation, and 325 images for testing.
All annotations are provided in the YOLO format, where each label file contains the object class ID and normalized bounding box coordinates in the format:
DOI: 10.35097/1414
title: Disclosing the Leaching Behaviour of Pd@CMK3 catalysts in Formic Acid Decomposition by Electron Tomography

description: Supported nanocatalysts exhibit different performance in batch and fixed bed reactors for a wide range of liquid phase catalytic reactions due to differences in metal leaching. To investigate this leaching process and its influence on the catalytic performance, a quantitative 3D characterization of the particle size and the particle distribution is important to follow the structural evolution of the active metal catalysts supported on porous materials during the reaction. In this work, electron tomography has been applied to uncover leaching and redeposition of a Pd@CMK3 catalyst during formic acid decomposition in batch and fixed bed reactors. The 3D distribution of Pd NPs on the mesoporous carbon CMK3 has been determined by a quantitative tomographic analysis and the determined structural changes are correlated with the observed differences in activity and stability of formic acid decomposition using batch and fixed bed reactors.
description: Descriptions of the data formats are provided in the subdirectory 'description'
DOI: 10.17632/4m9dgskxbm.1
title: A pharmacokinetic-pharmacodynamic approach to propose an amoxicillin dosage regimen for treatment of Escherichia coli and Staphylococcus delphini infections in mink (Neovison vison)

description: Data contains two folders consisted of PD and PK analysis. In PD analysis, raw data regarding to the microbiology of amoxicillin against E.coli and S.delphini is stored. In PK analysis, raw data regarding to Pk data, PK and PKPD model files are stored.
DOI: 10.17632/8bkw8x5chw.1
title: The Influence of Home Environment in Shaping Students’ Learning Behaviour from Selected Secondary Schools in Tanzania

description: The assumption of this study is that the influence of peer groups extends beyond academics to social interactions and socialization. Peer interactions among individuals can directly and indirectly shape one's beliefs and behaviours. A peer group has the potential to encourage or discourage certain behaviours. In a secondary school context, the encouraging behaviour of peers can positively reinforce desirable actions, such as demonstrating commitment to completing assignments or engaging in school activities. This, in turn, can lead to constructive changes in learning behaviours. Conversely, discouraging behaviour among peers can negatively reinforce undesirable actions, such as demonstrating less commitment to completing assignments or engaging in learning activities. This can result in adverse changes in learning behaviours. 
Descriptions
The students/respondents were given questionnaires containing statements regarding parental involvement in their learning activities. Their responses were measured using a five-point Likert scale, where 5 = Strongly Agree, 4 = Agree, 3 = Neutral, 2 = Disagree, and 1 = Strongly Disagree. The mean and standard deviations were generated using SPSS and are presented in Table 2.
The study utilized a mean score value of 3.11 to categorize parental involvement into two groups: "Good parental involvement" and "Poor parental involvement." Students whose responses on parental involvement had a mean score greater than or equal to the average mean value were classified as exhibiting "Good parental involvement," while those with responses below the average mean value were categorized as having "Poor parental involvement. These data about mean score values regarding poor or good parental involvement are presented as percentages in Figure 1. 
The dependent variable in this study is students' learning behaviour, which is observed and measured to determine how it responds to changes in the independent variable.
 
Where:
 = is the Spearman rank correlation coefficient
di = is the difference between the ranks of corresponding pairs of PIT and LBT
n = is the number of observations (273) for both PIT and LBT
The value of ρ ranges from -1 to 1:
• ρ = 1 indicates a perfect positive monotonic relationship,
• ρ = −1 indicates a perfect negative monotonic relationship,
• ρ = 0 suggests no monotonic relationship
The study utilized a linear regression model to investigate the influence of peer influence on students' learning behaviors. The regression equation is as follows:
Y=3.150+0.114X1+0.054eY=3.150+0.114X1+0.054e
DOI: 10.17632/5smwjjw8z5.1
title: Ethical Hacking with AI in Digital Entrepreneurship: Securing Online Businesses from Cyber Threats

description: Data Ethical Hacking with AI in Digital Entrepreneurship: Securing Online Businesses from Cyber Threats
DOI: 10.17632/sxpvvcxmzp.1
title: Examining Teacher Support in Blended Reading Classrooms for College Students’ Academic Achievement

description: A convenience sampling method was employed to recruit 300 college students from Z University [ The utilization of the sample, data, and data analysis procedure of the present study has been approved by the medical ethics committee of Department of Psychology and Behavioral Sciences.], which is located in Z Province, China. The participants consisted of sophomore and junior students from various majors, all enrolled in parallel classes of either College English [ College English is one of the compulsory subjects for Chinese college students that provides systematic training in reading skills. Students are required to take 32 hours of classes every semester and participate in a standardized in-house English proficiency test at the end of term.] III or College English IV instructed by the same teacher. This homogeneous instructional context helped control for potential student-related variables.
This study employed a composite questionnaire comprising four adapted scales designed to assess: (1) students’ perceptions of teacher support, and (2) their reading engagement across behavioral, emotional, and cognitive dimensions.
DOI: 10.17632/sxpvvcxmzp
title: Students' Perceptions of Teacher Support in Blended Reading Classrooms

description: This study employed a composite questionnaire comprising four adapted scales designed to assess: (1) students’ perceptions of teacher support in blended reading classrooms, and (2) their reading engagement across behavioral, emotional, and cognitive dimensions.
DOI: 10.17632/sxpvvcxmzp.2
title: Students' Perceptions of Teacher Support in Blended Reading Classrooms

description: This study employed a composite questionnaire comprising four adapted scales designed to assess: (1) students’ perceptions of teacher support in blended reading classrooms, and (2) their reading engagement across behavioral, emotional, and cognitive dimensions.
DOI: 10.17632/6ntvbwmcyj
title: College Students' Behavioral, Emotional, and Cognitive Reading Engagement in Blended Reading Classrooms

description: This study employed a composite questionnaire comprising four adapted scales designed to assess students’ behavioral, emotional, and cognitive reading engagement as well as their perceptions of teacher support in college blended reading classrooms.
A convenience sampling method was employed to recruit 300 college students from Z University, which is located in Z Province, China. The utilization of the sample, data, and data analysis procedure of the present study has been approved by the medical ethics committee of Department of Psychology and Behavioral Sciences. The participants consisted of sophomore and junior students from various majors, all enrolled in parallel classes of either College English III or College English IV instructed by the same teacher.
The questionnaire employed in this study was administered digitally through the WJX online survey platform (https://www.wjx.cn/), which is a widely used and reliable data collection tool in pedagogical research. Distribution occurred during the concluding weeks of the fall semester in 2022, ensuring that the participants had sufficient experience with the blended reading environment to provide informed responses.
DOI: 10.17632/6ntvbwmcyj.1
title: College Students' Behavioral, Emotional, and Cognitive Reading Engagement in Blended Reading Classrooms

description: This study employed a composite questionnaire comprising four adapted scales designed to assess students’ behavioral, emotional, and cognitive reading engagement as well as their perceptions of teacher support in college blended reading classrooms.
A convenience sampling method was employed to recruit 300 college students from Z University, which is located in Z Province, China. The utilization of the sample, data, and data analysis procedure of the present study has been approved by the medical ethics committee of Department of Psychology and Behavioral Sciences. The participants consisted of sophomore and junior students from various majors, all enrolled in parallel classes of either College English III or College English IV instructed by the same teacher.
The questionnaire employed in this study was administered digitally through the WJX online survey platform (https://www.wjx.cn/), which is a widely used and reliable data collection tool in pedagogical research. Distribution occurred during the concluding weeks of the fall semester in 2022, ensuring that the participants had sufficient experience with the blended reading environment to provide informed responses.
DOI: 10.17632/8krbk98z8h.1
title: Government Environmental Attention and Urban Ecosystems Metabolic Efficiency : Does the Digital Economy Matter

description: Research data related to the article, including government environmental attention and relevant data at the city level (including the digital economy)
DOI: 10.17632/37p5dgwsk4.1
title: American Hand Signs Dataset

description: This dataset consists of 17,600 labeled images of American Sign Language hand signs, including representations of the alphabets (A to Z) and the "I love you" gesture. The images are of size 300x300 pixels and contain various background and lighting conditions to ensure robustness. Each alphabet sign contains approximately 600 images. The dataset was generated using MediaPipe for hand gesture detection and was trained using TensorFlow and Keras, achieving high accuracy on the dataset.

The dataset is intended for use in the development and evaluation of machine learning models for hand gesture recognition. It is suitable for applications in sign language recognition, human-computer interaction, and other related fields. The variety in background and lighting makes it useful for real-world applications, ensuring that models trained on this dataset can generalize well to diverse environments.

Keywords: American Sign Language, Hand Gesture Recognition, MediaPipe, TensorFlow, Keras, Image Dataset, Machine Learning, Sign Language Recognition, Computer Vision.
DOI: 10.5281/zenodo.15044304
title: SourceDataCP2025

description: Microsoft Excel files containing source data needed to reproduce quantitative comparisons/analyses presented in the manuscript: "Alzheimer’s disease patient-derived high molecular weight tau impairs bursting in hippocampal neurons" by Harris et al. (2025). Also included are figure examples in MATLAB *.fig format. Each file references a specific Figure and Panel letter (e.g. Figure 2J_XXXX) as its title and which corresponds to the same in the published manuscript.

MATLAB code to import and statistically analyse these source data available from the authors on request and publically available (see DOI in manuscript). Busche Laboratory 2025, UK Dementia Research Insitute at University College London

Please see READ_ME.txt
DOI: 10.17632/52hz8vhm7g
title: An image dataset of Bangladeshi Tat Saree Classification: A Dataset for Textile Studies

description: This dataset comprises photos of traditional Bangladeshi Tat sarees collected to analyze and categorize them based on thread count. There are total nine folder. A total of 17 images are presented.
DOI: 10.17632/52hz8vhm7g.1
title: An image dataset of Bangladeshi Tat Saree Classification: A Dataset for Textile Studies

description: This dataset comprises photos of traditional Bangladeshi Tat sarees collected to analyze and categorize them based on thread count. There are total nine folder. A total of 17 images are presented.
DOI: 10.17632/kwyz4gby2k.1
title: An image dataset of Amaranthus Dubius leaf images

description: This dataset is based on Amaranthus Dubius’s Diseases. Three types of Disease have been found. Anthracnose,Leaf Blight and Shot Hole. 108 images of Anthracnose, 102 images of Leaf Blight , 124 images of Shot Hole and 128 images of fresh Amaranthus Dubius. Leaves have been collected from Gouronagar, Bagpara. Therefore, total 462 images.
DOI: 10.17632/d4x6fp42r7.1
title: An image dataset of Guava leaf images

description: This dataset contains 19 distinct classes of guava and total 1488 images. Images were collected from specialized horticulture centers, universities, botanical gardens, and nurseries.
DOI: 10.5281/zenodo.15259592
title: Planted tree taxa and their susceptibility to Polyphagous Shot Hole Borer in the City of Cape Town

description: List of all planted tree taxa evaluated for suitability for planting in the City of Cape Town Metropolitan Municipality, South Africa, and their susceptibility to the Polyphagous Shot Hole Borer (Euwallacea fornicatus) and associated fungal symbionts.
DOI: 10.17632/xnmwv8cn5r
title: Enhancing the Fidelity of Suspension Bath-based 3D Printing through Angled Needles

description: Suspension bath-based 3D printing has been increasingly applied in fabricating complex structures from challenging-to-process materials such as PDMS, liquid metal, and bioinks. However, this method still encounters difficulties in interlayer bonding and print-path optimization. Several studies have sought to address these challenges through various strategies. In this study, a novel strategy to improve print fidelity by utilizing the choice of printing needles with different extrusion angles (0°, 45°, and 90°) was proposed. We experimentally evaluated the impact of the needle angle on the structural integrity of printed objects, focusing on the permissible angle between needle movements and extrusion directions, as well as the influence on filament breakage and interlayer voids. Our findings reveal that using varied needle angles substantially reduces interlayer voids and enhances structural cohesion, offering a considerable enhancement over existing single-angle needle printing strategy. This research paves the way for advancing suspension bath-based 3D printing technologies.
DOI: 10.17632/xnmwv8cn5r.1
title: Enhancing the Fidelity of Suspension Bath-based 3D Printing through Angled Needles

description: Suspension bath-based 3D printing has been increasingly applied in fabricating complex structures from challenging-to-process materials such as PDMS, liquid metal, and bioinks. However, this method still encounters difficulties in interlayer bonding and print-path optimization. Several studies have sought to address these challenges through various strategies. In this study, a novel strategy to improve print fidelity by utilizing the choice of printing needles with different extrusion angles (0°, 45°, and 90°) was proposed. We experimentally evaluated the impact of the needle angle on the structural integrity of printed objects, focusing on the permissible angle between needle movements and extrusion directions, as well as the influence on filament breakage and interlayer voids. Our findings reveal that using varied needle angles substantially reduces interlayer voids and enhances structural cohesion, offering a considerable enhancement over existing single-angle needle printing strategy. This research paves the way for advancing suspension bath-based 3D printing technologies.
DOI: 10.35097/1606
title: Graphitizability of polymer thin films: an in situ TEM study of thickness effects on nanocrystalline graphene/glassy carbon formation

description: Polymer pyrolysis has emerged as a simple and versatile method to synthesize graphenoid (graphene like) materials with varying thickness and properties. The morphology of the thin film, especially the thickness, greatly affects the graphitizability (ability to from ordered graphene/ graphite) and thus the properties of the resulting graphenoid material. Using in situ current annealing inside a transmission electron microscope (TEM), we followed the thickness-dependent structural evolution of the polymer film with a special focus on thickness effects. Up to intermediate temperatures, the structural evolution during current annealing is similar to the evolution during thermal annealing of the thin films. At higher temperatures, thin samples form large graphene layers oriented parallel to the substrate, whereas in thick samples multi-walled cage-like structures are formed. MD simulations reveal a critical film thickness of 40 Å below which, the carbonized layers align parallel to the surface. For thicker samples, the orientation of the layers becomes increasingly misoriented starting from the surface to the center. This structural change can be attributed to the formation of bonded multi-layers from the initially unsaturated activated edges. The resulting cage-like structures are stable even during simulated annealing at temperatures as high as 3500 K. An atomistic understanding of the formation of these structures is presented. The results clearly indicate the critical effect of thickness on graphitizability of polymers and provide a new understanding of the structural evolution during pyrolysis.
description: Information on the data formats provided in the individual subdirectories
DOI: 10.17632/zwgfyw33wx.1
title: Data for the music frog

description: Data for the music frog
DOI: 10.15468/dl.hmnhsk
title: Occurrence Download

description: A dataset containing 7212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Mexico, Cuba)",
 "TaxonKey is Dermochelys coriacea (Vandelli, 1761)"
 ]
}

 The dataset includes 7212 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009474-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vfyhyz2tjg.1
title: Simulating and Assessing Carbon Markets

description: This study simulates carbon markets more accurately with a Multi-CDF inversion approach coupled with GARCH volatility model. Without the restriction of a normal distribution assumption, atypical patterns of price return distribution in illiquid and immature markets are modeled appropriately. Furthermore, the simulations demonstrate reliable replications of both the variability of volatility and volatility clustering phenomena. The interdependence among carbon markets and other financial markets is effectively incorporated and modeled through a multivariate simulation. Not only the existing price gap between the Korean and the EU ETS markets but a probabilistic analysis based on the simulation suggests that the Korean ETS market is underpriced relative to carbon price prospects provided by major institutions. The probability of reaching the price levels projected by the institutions is estimated as low as below 15% while that of the EU ETS reaches up to over 40%. If we presume that the Korean ETS follows a trajectory similar to that of the EU ETS market’s historical evolution, the Korean ETS could potentially face a risk of price surges.
DOI: 10.17632/54w7pxw8mt.1
title: data for microanalysis of sulfur isotope of calcite using SIMS

description: The data evaluate the sulfur isotopic homogeneity of potential calcite reference material and the matrix effects in SIMS analysis.