cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yk4p2dbh73.2
title: Demographic Profile and Perceptions of Ecotourism Development in Kenyir Lake, Malaysia: A Head of Household Survey Dataset

description: These datasets consist of responses from a survey that were administered to understand the Demographic Profile and Perceptions of Ecotourism Development in Kenyir Lake, Malaysia: A Head of Household Survey
DOI: 10.17632/pmf24byj43.1
title: UAV forest road

description: Deep-learning training data of forest roads. The "image" folder provides original image data, the "mask" folder provides corresponding mask annotations.
DOI: 10.17632/w574fdk5h5
title: Response of Plant Architectural Structure and Leaf Traits to Heterogeneous Environments—A Global Meta-Analysis

description: These data are relevant to the analytical results of this article.
DOI: 10.17632/w574fdk5h5.1
title: Response of Plant Architectural Structure and Leaf Traits to Heterogeneous Environments—A Global Meta-Analysis

description: These data are relevant to the analytical results of this article.
DOI: 10.17632/t4ycf4425k.1
title: Anal atresia case series

description: The series of prenatal ultrasound images was created by experts in fetal-maternal medicine for educational purposes and to aid in developing AI recognition models. The current dataset contains prenatal ultrasound images of the cases with signs suggestive of anal malformations during the second-trimester screening. Follow-up images are provided if available, as well as the pregnancy outcome and postnatal findings of anal atresia. The presented cases were described in an Original Article published in the Taiwanese Journal of Obstetrics and Gynecology titled "A practical method for prenatal diagnosis of anal atresia by second trimester ultrasound screening - A retrospective study" by Ko et al. The primary objective of the article was to evaluate the performance of ultrasound screening for anorectal malformations during mid-trimester routine anatomical scans in a primary care fetal medicine clinic.
DOI: 10.17632/7rhwkf5bgt
title: High-Resolution Satellite Mapping for Quantitative Evaluation of Soil Texture Thresholds in Crop Drought Stress

description: Soil Texture Sample Point Data and Sentinel-2 Remote Sensing Data for Youyi Farm.
DOI: 10.17632/7rhwkf5bgt.1
title: High-Resolution Satellite Mapping for Quantitative Evaluation of Soil Texture Thresholds in Crop Drought Stress

description: Soil Texture Sample Point Data and Sentinel-2 Remote Sensing Data for Youyi Farm.
DOI: 10.17632/h884yzt4zc.1
title: urban

description: This study explores urban resilience in the face of escalating challenges posed by rapid urbanization and climate change. Through a comparative analysis of 49 countries
DOI: 10.17632/gvcbjz9t36.1
title: Does Carrying a Physical Burden Promote Earlier Repayment?—A Exploratory Nudge Study Based on the Negative Discounting in Intertemporal Decision-Making

description: In the lending process, individuals must weigh the trade-off between early repayment and postponement. Encouraging early repayment aligns with the phenomenon of negative discounting in intertemporal decision-making. Negative discounting occurs because individuals experience anticipated dread when faced with future negative events. This study explored how "carrying a burden", highlighted through physical burden and weight-related emojis, can influence individuals' intertemporal repayment choices and the underlying mechanisms. Furthermore, a field experiment was conducted to test the nudge effect of "carrying a burden" on promoting earlier repayment. The results revealed that: (1) In laboratory experiments, participants in the burdened group tended to repay earlier, with the mediating effect of anticipated dread being partially significant. (2) In field experiment, the burdened group presented an increased number of on-time repayments. This study further validates the negative discounting phenomenon in intertemporal decision-making and provides a foundation for interventions and nudges to reduce repayment delays.
DOI: 10.17632/k234hrrph3
title: The analysis data of Raman spectra of NaHCOO solutions with different concentrations at different temperatures

description: We collected the Raman spectra of NaHCOO solutions with different concentrations at different temperatures, and carry out Gaussian fitting of Raman peak of HCOO-, and integral of Raman peak of H2O (O-H stretching vibration ) for every spectrum.
DOI: 10.17632/k234hrrph3.1
title: The analysis data of Raman spectra of NaHCOO solutions with different concentrations at different temperatures

description: We collected the Raman spectra of NaHCOO solutions with different concentrations at different temperatures, and carry out Gaussian fitting of Raman peak of HCOO-, and integral of Raman peak of H2O (O-H stretching vibration ) for every spectrum.
DOI: 10.17632/gvcbjz9t36.2
title: Does Carrying a Physical Burden Promote Earlier Repayment?—A Exploratory Nudge Study Based on the Negative Discounting in Intertemporal Decision-Making

description: In the lending process, individuals must weigh the trade-off between early repayment and postponement. Encouraging early repayment aligns with the phenomenon of negative discounting in intertemporal decision-making. Negative discounting occurs because individuals experience anticipated dread when faced with future negative events. This study explored how "carrying a burden", highlighted through physical burden and weight-related emojis, can influence individuals' intertemporal repayment choices and the underlying mechanisms. Furthermore, a field experiment was conducted to test the nudge effect of "carrying a burden" on promoting earlier repayment. The results revealed that: (1) In laboratory experiments, participants in the burdened group tended to repay earlier, with the mediating effect of anticipated dread being partially significant. (2) In field experiment, the burdened group presented an increased number of on-time repayments. This study further validates the negative discounting phenomenon in intertemporal decision-making and provides a foundation for interventions and nudges to reduce repayment delays.
DOI: 10.17632/4v3ds9sbpz
title: Telomere Tales: Exploring the Impact of Stress, Sociality, and Exercise on Dogs’ Cellular Aging

description: Dogs' information raw data
DOI: 10.17632/4v3ds9sbpz.1
title: Telomere Tales: Exploring the Impact of Stress, Sociality, and Exercise on Dogs’ Cellular Aging

description: Dogs' information raw data
DOI: 10.17632/zwjkbstpw4.1
title: Assessing the Impact of Artificial Intelligence Technology in Education

description: This survey seeks to understand how artificial intelligence (AI) technology impacts teaching and learning in education. Your responses will help us explore AI's effectiveness, challenges, and adoption levels in educational settings. Participation is voluntary, taking approximately 10-15 minutes and you may withdraw at any time without consequence. By starting, you acknowledge the study's purpose and the confidentiality measures in place.
Thank you for contributing to this important research.
DOI: 10.17632/kfhc6vgsbd.1
title: Data for manuscripts Sequential extraction of heavy metals from sediments of the Maipo River basin, Chile

description: Sheet 1 presents the physicochemical parameters—pH, electrical conductivity (EC), total organic carbon (TOC), carbon monoxide (CO), boron, humidity, and iron/manganese oxides—for the analyzed sites (PP, MEL, SFM, and IM). Sheet 2 summarizes the metal fraction distribution (Labile, Oxide, MO, Residual) across these sites in mg/kg and percentages, illustrating their composition and partitioning.
DOI: 10.17632/5kx9xrs3kw.1
title: Scalar Angular Spectrum Diffraction Calculation Based on the Bluestein Method for Chirp Z-Transform

description: Two matlab code files show how to use CZT based on bluestein method to calculate focused light field and volume light field respectively.
DOI: 10.17632/4rc4xgds9w.1
title: hsaddatasets

description: Time-series datasets for quantifying association between short-term exposure to maximum temperature and heatstroke-related ambulance dispatches in Japan
DOI: 10.17632/w5nwzcvmbm.1
title: Acupoint Injection and Electrical Stimulation for Postoperative Nausea and Vomiting: A Randomized Clinical Trial

description: To date, no study has investigated the efficacy of combining AI and TEAS for preventing PONV after gynecological laparoscopic surgery. We aimed to assess the effectiveness and safety of this integrated therapy, comparing the effects of only AI or TEAS program with a combined regimen, providing a more effective and low-risk alternative to pharmacological treatments.In this randomized trial, dexamethasone injection into the Neiguan acupoint effectively prevented PONV and reduced the need for salvage antiemetics when combined with TEAS.
DOI: 10.17632/hk9gwbknw6.1
title: Prescribing Indicator Study Data

description: Dataset for Prescribing Indicator Study
DOI: 10.17632/njg9yctdgf.1
title: SAMBA: A Graph-Mamba Approach for Stock Price Prediction

description: This repository hosts the code for the SAMBA model, proposed in our IEEE ICASSP 2025 paper "Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price Prediction".
More information about data is available at "CNNpred: CNN-based stock market prediction using a diverse set of variables" published in Expert Systems with Applications. 
Link to Github of the project: https://github.com/Ali-Meh619/SAMBA
DOI: 10.17632/hvtrbfn3ny.1
title: Vampire Effect in Digital Advertising

description: This is an xls workbook with the the full dataset and the eight regression models for all the four treatment with brand and message recall conducted using XLSTAT.
DOI: 10.17632/wydzd4xh7w.1
title: Hsaddatasets

description: Time-series datasets for quantifying association between short-term exposure to maximum temperature and heatstroke-related ambulance dispatches in Japan
DOI: 10.17632/rzjzp9r5mn.1
title: Whole Rat Microphysiological Systems Reduce Rat Consumptions in Carboplatin Testing by over Tenfold

description: Supporting materials.
DOI: 10.17632/rzjzp9r5mn.2
title: Rat Microphysiological Systems: A New Approach to Advancing the 3R’s Principle in Drug Discovery

description: Supporting materials.
DOI: 10.17632/rzjzp9r5mn.3
title: Animal Microphysiological Systems: An Efficient Approach to Advancing the 3R’s Principle in Drug Discovery

description: Supporting materials.
DOI: 10.17632/rzjzp9r5mn.4
title: An “Eighteen-Organ” Microphysiological System Coupling a Vascular Network and Excretion System for Drug Discovery

description: Supporting materials.
DOI: 10.17632/4mdwc4h8rb.1
title: ameloblastoma single cell sequencing

description: ameloblastoma single cell sequencing
DOI: 10.17632/c7jd338hm2.1
title: Lead content and isotopes of river sediments in the western Qinling region of China

description: The data obtained from the river sediments within Qingni River Basin, located in the western Qinling Mountains of central China, could be used to study the impact of lead-zinc mining activities on watershed environment.
DOI: 10.17632/sh82cm2x64.1
title: Microwaves versus combined microwaves and fractional carbon dioxide laser in the treatment of postpartum abdominal laxity among Filipino patients in a tertiary hospital: a randomized, prospective, assessor-blinded, simultaneous split-abdomen trial

description: This study compared microwaves alone versus combined microwaves and fractional carbon dioxide (CO2) laser in treating postpartum abdominal laxity in 32 Filipino patients. Patients underwent three microwaves sessions on both sides of the abdomen, with one randomized side receiving an additional laser session. Both treatments showed significant improvement in global aesthetic improvement scale scores and patient satisfaction scores (p &lt; 0.001), but combined therapy showed superior results. Mild adverse effects were limited to laser treatment. The combined approach is thus safe and effective, offering a promising solution for postpartum abdominal laxity.
DOI: 10.17632/4rcsfbwfzp.1
title: Factors Affecting Continuance Intention of AIGC Product

description: Drawing from data collected from 423 survey samples, our study utilizes the partial least squares (PLS) method to investigate the key factors behind continuance intention. The findings reveal that positive expectancy violation plays a pivotal mediating role between AIGC product attraction (task, affective, and physical attraction) and continuance intention. All three aspects of AIGC product attraction significantly contribute to positive expectancy violation. Notably, task attraction exerts the strongest influence, followed by affective attraction and physical attraction. Moreover, high personal innovativeness enhances the positive impact of affective attraction on positive expectancy violation while diminishing the positive effect of task attraction. 
The variables and their corresponding abbreviations are as follows:
Task Attraction (TA)
Affective Attraction (AA)
Physical Attraction (PA)
Personal Innovativeness (PI)
Positive Expectancy Violation (PEV)
Continuance Intention (CI)
DOI: 10.17632/5ny7cth7vw.1
title: Dataset_for_Analyzing_University_Students'_Behaviour

description: The dataset for behavior analysis of university students consists of 351 records and 51 questions, covering a range of factors that shed light on student demographics, academic performance, and social behavior. The mental health of a student can be scaled using this dataset. Key demographic variables include semester, age, height, weight, gender, religion, and family background. Academic performance is assessed through CGPA, daily study hours, and satisfaction with academic activities, while social behaviours include relationship status, social media usage, and smoking habits.

The dataset also explores extracurricular involvement, career outlook, and perceptions of social value related to students' fields of study. Critical mental health indicators such as suicidal thoughts, sleep patterns, and psychological symptoms like anxiety, agitation, and stress are captured. Questions about satisfaction with sleep, daily functioning, and emotional well-being further contribute to understanding students' mental health.

The mental health section is extensive, with multiple questions related to suicidal thoughts and behaviours. The dataset also covers sleep-related behaviors. Additionally, the dataset captures psychological symptoms through questions about difficulty winding down, experiencing breathing problems, lack of positive feelings, and difficulty relaxing. Indicators of anxiety, panic, and agitation, such as trembling, nervous energy, and overreaction to situations, are also recorded. The emotional state of the students is further explored, including feelings of worthlessness, a lack of enthusiasm, and feeling scared or that life is meaningless.

This dataset provides a detailed and comprehensive foundation for behavior analysis of university students, enabling researchers to assess academic, social, and psychological factors that influence student well-being. It is well-suited for applying machine learning models to predict behavioural and mental health outcomes.
DOI: 10.17632/5ny7cth7vw.2
title: Dataset_for_Analyzing_University_Students'_Behaviour

description: The dataset for behavior analysis of university students consists of 351 records and 51 questions, covering a range of factors that shed light on student demographics, academic performance, and social behavior. The mental health of a student can be scaled using this dataset. Key demographic variables include semester, age, height, weight, gender, religion, and family background. Academic performance is assessed through CGPA, daily study hours, and satisfaction with academic activities, while social behaviours include relationship status, social media usage, and smoking habits.

The dataset also explores extracurricular involvement, career outlook, and perceptions of social value related to students' fields of study. Critical mental health indicators such as suicidal thoughts, sleep patterns, and psychological symptoms like anxiety, agitation, and stress are captured. Questions about satisfaction with sleep, daily functioning, and emotional well-being further contribute to understanding students' mental health.

The mental health section is extensive, with multiple questions related to suicidal thoughts and behaviours. The dataset also covers sleep-related behaviors. Additionally, the dataset captures psychological symptoms through questions about difficulty winding down, experiencing breathing problems, lack of positive feelings, and difficulty relaxing. Indicators of anxiety, panic, and agitation, such as trembling, nervous energy, and overreaction to situations, are also recorded. The emotional state of the students is further explored, including feelings of worthlessness, a lack of enthusiasm, and feeling scared or that life is meaningless.

This dataset provides a detailed and comprehensive foundation for behavior analysis of university students, enabling researchers to assess academic, social, and psychological factors that influence student well-being. It is well-suited for applying machine learning models to predict behavioural and mental health outcomes.
DOI: 10.17632/65tj45ym4g.1
title: SnRK2 kinases sense molecular crowding and form condensates to disrupt ABI1 inhibition

description: This dataset is the raw data for the academic paper "SnRK2 kinases sense molecular crowding and form condensates to disrupt ABI1 inhibition".
DOI: 10.17632/sy69db2nz5.1
title: Malabar Spinach Disease Detection Dataset

description: Dataset Purpose: Collection of Malabar spinach (Basella alba) leaf images for advancing disease detection in agriculture.

Total Images: 20,173 images

Original Images: 3,006 images collected from various cities in Bangladesh (Savar, Dhaka, Sirajganj, Gazipur).
Augmented Images: 17,167 images created to increase model robustness by reflecting environmental and imaging variations.
Leaf Conditions:
Healthy: Images of healthy leaves.
Unhealthy: Images categorized into four disease types:
Anthracnose
Bacterial Spot
Downy Mildew
Pest Damage

Applications: Supports machine learning and computer vision research for automated plant disease detection.

Goal: Resource for enhancing crop health and yield management, specifically aimed at agricultural improvements in Bangladesh.
DOI: 10.17632/sy69db2nz5.2
title: Malabar Spinach Disease Detection Dataset

description: Dataset Purpose: Collection of Malabar spinach (Basella alba) leaf images for advancing disease detection in agriculture.

Total Images: 3006 images

Original Images: 3,006 images collected from various cities in Bangladesh (Savar, Dhaka, Sirajganj, Gazipur).
Leaf Conditions:
Healthy: Images of healthy leaves.
Unhealthy: Images categorized into four disease types:
Anthracnose
Bacterial Spot
Downy Mildew
Pest Damage

Applications: Supports machine learning and computer vision research for automated plant disease detection.

Goal: Resource for enhancing crop health and yield management, specifically aimed at agricultural improvements in Bangladesh.
DOI: 10.17632/pdgczjwmhd.1
title: Dataset of the first de novo transcriptome assembly of of Typhonium flagelliforme

description: The RNA-seq data was collected from three bulk sections of the leaf of keladi tikus (Typhonium flagelliforme), representing a comprehensive set of transcriptome data from the primary, secondary, and tertiary tuber produced by six-month-old plants.
DOI: 10.15468/dl.s49xhm
title: Occurrence Download

description: A dataset listing the 353 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "Geometry POLYGON((26.00887 -33.8988,29.45101 -33.8988,29.45101 -31.74461,26.00887 -31.74461,26.00887 -33.8988))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Apidae, Andrenidae, Colletidae, Halictidae, Megachilidae, Melittidae)"
 ]
}

 The dataset's 353 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049877-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14561957
title: SeVa and HR-XPV search results

description: This repository contains the SeVa and HR-XPV search results and log files of the tandem mass spectrometry datasets: PDC000224 and PXD017407
DOI: 10.5281/zenodo.14561958
title: SeVa and HR-XPV search results

description: This repository contains the SeVa and HR-XPV search results and log files of the tandem mass spectrometry datasets: PDC000224 and PXD017407
DOI: 10.15468/dl.bvzf4k
title: Occurrence Download

description: A dataset containing 602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((99.48152 25.81017,104.29666 30.63979,110.04809 32.57613,112.58941 35.78421,113.52569 39.90163,112.32191 43.39826,107.1055 42.22083,96.44027 43.036,91.35761 44.9601,89.0838 48.17712,85.47244 47.45862,82.26234 45.61878,80.52353 42.742,74.5046 40.27764,75.30712 36.28981,79.4535 32.42662,80.25603 29.32775,84.80366 26.85004,91.22386 25.16721,96.03901 24.68203,99.48152 25.81017))",
 "HasGeospatialIssue is false",
 "TaxonKey is Triplophysa Rendahl, 1933"
 ]
}

 The dataset includes 602 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049884-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xetyds
title: Occurrence Download

description: A dataset containing 844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chaetocercus berlepschi Simon, 1889",
 "Year 1901-2024"
 ]
}

 The dataset includes 844 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049886-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v37dbf
title: Occurrence Download

description: A dataset containing 8042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February)",
 "OccurrenceStatus is Present",
 "TaxonKey is Branta bernicla (Linnaeus, 1758)",
 "Year 2011-2011"
 ]
}

 The dataset includes 8042 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049885-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ugyxw
title: Occurrence Download

description: A dataset containing 23222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Branta bernicla (Linnaeus, 1758)",
 "Year 2010-2010"
 ]
}

 The dataset includes 23222 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049883-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.