cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4udbqw
title: Occurrence Download

description: A dataset containing 891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "DatasetKey is one of (iNaturalist Research-grade Observations, naturgucker, NMNH Material Samples (USNM), International Barcode of Life project (iBOL), List of animalia, fungi and plant species recorded through naturalist observations and research activities in Benin. Data mobilized in the framework of a JRS Biodiversity Foundation project of Benin)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Country derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Helicoverpa armigera (Hübner, 1808)",
 "Year 1998-2024"
 ]
}

 The dataset includes 891 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001041-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqxbas
title: Occurrence Download

description: A dataset containing 13862 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mohonk Preserve Vernal Pool Amphibian Breeding Ecology Monitoring from 1931 to Present"
 ]
}

 The dataset includes 13862 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001042-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtf524
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((119.7014 32.16321, 119.8732 32.16321, 119.8732 32.28388, 119.7014 32.28388, 119.7014 32.16321))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001043-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jraajf
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((118.6955 30.90839, 118.8274 30.90839, 118.8274 30.97698, 118.6955 30.97698, 118.6955 30.90839))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001045-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5kqf9
title: Occurrence Download

description: A dataset containing 18240163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agelaius phoeniceus (Linnaeus, 1766)"
 ]
}

 The dataset includes 18240163 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000961-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6y26dg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((113.7483 23.26366, 113.8579 23.26366, 113.8579 23.32214, 113.7483 23.32214, 113.7483 23.26366))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001046-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g47fk8
title: Occurrence Download

description: A dataset containing 729350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-79.52002 39.62126,-70.44866 39.44383,-73.46506 45.63187,-80.13799 44.83108,-79.52002 39.62126))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 729350 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000965-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2kbbe
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((108.3861 -6.791659, 108.6177 -6.791659, 108.6177 -6.564613, 108.3861 -6.564613, 108.3861 -6.791659))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 164 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001048-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vwv3nry3wr.1
title: Rice Leaf Disease and Pest Dataset Overview

description: This dataset, tailored for training machine learning models in rice disease and pest detection, supports precision agriculture, crop management, and automated rice plant health monitoring. It contains 2,769 original images from various field conditions, expanded to 19,128 images through augmentation techniques for robust model training.

#Purpose: Automatic identification of rice diseases and pests.
#Original and Augmented Data: 2,769 original images, augmented to 19,128 with rotation, flipping, cropping, scaling, and color adjustments.
#Categories:
 Tungro: Yellowed, stunted leaves due to Tungro virus.
 Leaf Stripes: Stripe patterns from possible nutrient issues or stress.
 Leaffolder: Leaf damage by Leaffolder pest (Cnaphalocrocis medinalis).
 Healthy: Disease-free rice leaves.
 Rice: General rice leaf images.
 Leaf Blast: Necrotic lesions from fungal disease Pyricularia oryzae.
 Insect: Damage from insects other than Leaffolder.
#Applications: Enhances precision agriculture, aids in early disease detection, and supports mobile and IoT-based monitoring systems for rice farming.
DOI: 10.17632/8wwc5sf45n.1
title: Healthcare Resource Allocation

description: Using data from 284 prefecture-level and above cities in China from 2008 to 2021, this study investigates the impact of healthcare resource allocation on urban economic resilience.
DOI: 10.17632/j543hyxkk4.1
title: Metabolic Shifts in the Tricarboxylic Acid Cycle and Glycolysis Reveal Respiratory Adaptations of Streltzoviella insularis (Staudinger) (Lepidoptera: Cossidae) Larvae to Cold Stress

description: These data are the raw data used for the figures and tables in the article titled 'Metabolic Shifts in the Tricarboxylic Acid Cycle and Glycolysis Reveal Respiratory Adaptations of Streltzoviella insularis (Staudinger) (Lepidoptera: Cossidae) Larvae to Cold Stress'.
DOI: 10.17632/vkz7bnydrw.1
title: ESG-Social-Financial-India_Revised

description: This is a revised data of our study on Social indicators and social disclosures' impact on financial performance of firms. This data now included ESG score, E-SCORE, S-SCORE, G-SCORE along with CSR expenditure, Percentage employee turnover, percentage of women employees along with dependent financial performance variables ROA, ROE and EBIT (Earnings before interest rate and taxes. This data now includes firm size being measured by Total assets. The sample includes 22 companies and time period from 2015-2022 (8 years).
Source of the data: Bloomberg Terminal and ACE Analyzer
DOI: 10.17632/t8r85c3m6k.1
title: Quantum Gravity

description: Quantum gravity is a critical area of research aiming to reconcile the principles of general relativity and quantum mechanics. While general relativity explains the gravitational forces acting on massive bodies, it lacks compatibility with quantum mechanics, which governs the behavior of subatomic particles. This paper explores the implications of quantum gravity for photon behavior, particularly focusing on energy transformations and dimensional shifts. Previous works, such as those by Author A (2018) and Author B (2020), have explored these interactions but have yet to fully explain the role of gravitons in the energy cycles observed in high-gravity fields. 

Quantum gravity remains one of the greatest unsolved problems in physics. Efforts like string theory and loop quantum gravity aim to unify gravity with the quantum world. This research contributes to those efforts by examining how quantum mechanics and gravity interact in high-energy systems, particularly focusing on photon-graviton interactions in extreme environments such as black holes and gravitational lenses.
DOI: 10.17632/tsmf85dzrb.1
title: Compositional Convergence of Dissolved Organic Matter from Root Litter to Rhizosphere Soil in a Semiarid Grassland of North China

description: This is the research data for a manuscript authored by Mo et al., titled "Compositional Convergence of Dissolved Organic Matter from Root Litter to Rhizosphere Soil in a Semiarid Grassland of North China".
DOI: 10.17632/zxdgbzfs5n.1
title: Appedix A. Included publications for JCP.

description: Appendix A. Included publications for JCP.
DOI: 10.17632/zxdgbzfs5n.2
title: Appedix A. Included publications for JCP.

description: Appendix A. Included publications for JCP.
DOI: 10.17632/8x9jh4b9hf.1
title: CLE_HCQ_data

description: The supplementary material for the article "Early Initiation of Hydroxychloroquine in Cutaneous Lupus Erythematosus to Prevent Progression to Systemic Lupus Erythematosus: A Long-term Follow-up Study" provides additional data and analyses supporting the main findings of the study.
DOI: 10.17632/npsbdyv7ry.1
title: Dataset of Consumers’ Attitude Towards E-commerce Business During Post-Pandemic Era: Bangladesh Perspective

description: This dataset concerning consumers' attitudes toward e-commerce during the post COVID-19 in Bangladesh. The dataset was collected using a quantitative survey approach with a structured questionnaire distributed to 299 participants. The research model drew upon the Theory of Planned Behaviour and the Technology Acceptance Model to explore factors influencing consumer attitudes toward e-commerce. The dataset includes variables related to perceived usefulness, perceived ease of use, pandemic awareness, and trusting belief, all of which were measured using 5-point Likert scale items. The dataset has significant reuse potential for researchers interested in understanding consumer behaviour in online shopping contexts, particularly post crisis such as the COVID-19 pandemic. It provides valuable insights into the factors shaping consumer attitudes and intentions in e-commerce, which can inform strategic decision-making for businesses operating in the digital marketplace. This dataset contributes to the existing knowledge base on consumer behaviour and technology adoption, offering opportunities for further research and analysis in the field of e-commerce studies.
DOI: 10.17632/5428684j44.1
title: RAO (retinal artery occlusion) fundus photography dataset

description: This dataset is a dataset collected to train a deep learning model for diagnosing retinal artery occlusion (RAO) through fundus photographs. A RAO diagnosis model should be developed to prevent a fatal disease in which blood vessels in the eye are blocked by emboli, a type of stroke. Based on web-based public data and public fundus datasets RFMiD and JSEIC.
DOI: 10.17632/5428684j44.2
title: RAO (retinal artery occlusion) fundus photography dataset

description: This dataset is a dataset collected to train a deep learning model for diagnosing retinal artery occlusion (RAO) through fundus photographs. A RAO diagnosis model should be developed to prevent a fatal disease in which blood vessels in the eye are blocked by emboli, a type of stroke. Based on web-based public data and public fundus datasets RFMiD and JSEIC.
DOI: 10.17632/hfw4bn226x.1
title: Appendix A. Included publications for JCP.R1

description: Appendix A. Included publications for JCP.R1
DOI: 10.17632/nrb55gr66h.1
title: Customer Churn Dataset containing real records from a leading Bulgarian telecom operator, specifically for business customers, including small, medium, and large companies

description: The dataset is containing real records from a leading Bulgarian telecom operator, specifically for business customers, including small, medium, and large companies. This dataset is generated by the telecom’s business information system, includes 8,454 instances, 14 attributes, and 1 target attribute.
The description of dataset features are:
PID Personal identification number of the business customer
CRM PID Value Segment Shows the value of the customer to the telecom company
Billing ZIP ZIP code place-city, village where the company is located
КА name The name of their Key Account Manager who serves them
Active subscribers The number of active subscribers for this PID
Not Active subscribers Number of non-active subscribers for this PID
Suspended subscribers The number of suspended subscribers in last 6 months
Total Subscribers Total subscribers for the business customer
Average Mobile Revenue Average subscriber revenue from mobile services
Average Fix Revenue Average subscriber revenue for fixed services including fixed phone lines and fixed Internet access
Total Revenue Total Revenue from the business customer
ARPU Average revenue per user/subscriber
Churn Churned or not churned to another telecom – Yes/No
DOI: 10.17632/n3fpfpc3rg.1
title: OXCT1 succinylation and activation by SUCLA2 promotes ketolysis and liver tumor growth

description: Original Western blot images and microscopy images
DOI: 10.17632/8t2mry5sdc.1
title: ProMerge: Proactive Conflict Detection Using Context-Sensitive Informations

description: ProMerge: Proactive Conflict Detection Using Context-Sensitive Informations
DOI: 10.17632/6hbmnhn78j.1
title: Environmental, Social, and Governance Investing and Sustainability of Pension Funds: Evidence from the Organisation for Economic Cooperation and Development Countries

description: Instructions and data for the paper 'Environmental, Social, and Governance Investing and Sustainability of Pension Funds: Evidence from the Organisation for Economic Cooperation and Development Countries'
DOI: 10.17632/395y2ps54b.2
title: Research Data Set TFS

description: HTE competitiveness initializes the process of technology spillover and increases the pace of technological advancements. Undoubtedly, the generated technological dissemination and ongoing heavy investments in research and development yield implications about reflecting these updates to the fight against environmental degradation. Therefore, we observe the environmental consequences of HTE competitiveness and treat the induced technological developments as essential in pursuing environmental sustainability. Notably, this study has focused on this crucial interplay in G20 countries and has revealed precious implications due to the function of HTE competitiveness on sustainability. Nonetheless, the roles of affluence, technology, and trade globalization have been unveiled as moderators in this nexus.
Many essential takeaways may emerge as a result of our research within the framework of G20 countries. Firstly, HTE competitiveness has been found to undertake a pivotal role in facilitating energy consumption rationalization and other technological advances that enhance environmental quality. This insight can underscore the fact that countries that improve their HTE market share tend to manage supply chain sustainability and accomplish industrial structure supererogation on green innovation. Last but not least, strategies targeting the improvement of HTE competitiveness may catalyze the transition to a low-carbon economy and enable new emissions trading schemes to be established by providing convenient infrastructure abilities and awareness of sustainability issues.
DOI: 10.15468/dl.b629ja
title: Occurrence Download

description: A dataset containing 620108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is New Zealand",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 620108 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008674-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cd9cf2fb76.2
title: FORECAST

description: Measuring tumour evolvability metrics to predict recurrence in advanced localised prostate cancer using multi-biopsy targeted sequencing of prostate cancer specific genes, low coverage whole genome sequencing and matching image analysis.
DOI: 10.17632/cd9cf2fb76.3
title: FORECAST

description: Measuring tumour evolvability metrics to predict recurrence in advanced localised prostate cancer using multi-biopsy targeted sequencing of prostate cancer specific genes, low coverage whole genome sequencing and matching image analysis.

Version 3 note: FI-015_cfDNA_tree.new and FI-072_cfDNA_tree.new have been corrected.
DOI: 10.17632/cd9cf2fb76.1
title: FORECAST

description: Measuring tumour evolvability metrics to predict recurrence in advanced localised prostate cancer using multi-biopsy targeted sequencing of prostate cancer specific genes and low coverage whole genome sequencing.
DOI: 10.17632/cd9cf2fb76.4
title: FORECAST

description: Measuring tumour evolvability metrics to predict recurrence in advanced localised prostate cancer using multi-biopsy targeted sequencing of prostate cancer specific genes, low coverage whole genome sequencing and matching image analysis.

Version 4 note: cell_classes.zip corrected to easier formatting, sequenced_subregions.zip added to identify regions sequenced within slide images and Forecast ID reference added to allow for conversion from slide IDs to sequencing IDs.
DOI: 10.15468/dl.ebx37d
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-161.10408 3.95837,-40.89592 3.95837,-40.89592 52.04163,-161.10408 52.04163,-161.10408 3.95837))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caesalpinia platyloba S.Watson"
 ]
}

 The dataset includes 523 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008740-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vrbx9wrf3z.2
title: The Udila Tea Leaves Dataset: Enabling Deep Learning Classification for Premium Tea Production

description: This dataset contains a curated collection of tea leaf images sourced from Udila Tea Garden in Chittagong, Bangladesh, specifically designed to classify leaves based on their suitability for high-quality tea production. The dataset is categorized into two classes: "Tea-Making Leaf" and "Not Tea-Making Leaf" with a total of 747 samples. The "Good for Tea-Making" class includes fresh, vibrant leaves identified as ideal for producing flavorful, premium tea. In contrast, the "Not Good for Tea-Making" class contains leaves that are either aged, unhealthy, or otherwise unsuitable for quality tea production.

Data Collection: Images were captured under controlled natural lighting to accurately reflect the visual characteristics of each leaf. "Good" leaves are typically new, fresh, and exhibit a desirable green color and healthy structure. "Not Good" leaves may show signs of aging, poor health, or other qualities that would compromise the tea flavor and quality.

Applications: This dataset can be used for machine learning models aimed at quality assessment in tea production, enabling automated sorting and decision-making for optimal tea leaf selection in agricultural and commercial tea production processes.
DOI: 10.17632/ctcx5z34nk.1
title: Gini's Odyssey in Greece: Econometric analysis of income in-equality, GDP, and unemployment, through economic phases (pre crisis, crisis, memoranda and post memoranda)

description: This study investigates the relationship between income inequality, economic growth, and unemployment in Greece over the period 2003–2020, encompassing distinct economic phases: pre-crisis (2003–2008), crisis and memoranda (2009–2014), and post-memoranda (2015–2020). The research focuses on two primary hypotheses:

 H1: There is a positive relationship between GDP (measured logarithmically as LOGGDP) and income inequality (Gini coefficient), suggesting that economic growth, when not accompanied by redistributive mechanisms, exacerbates income disparities.

 H2: There is a positive relationship between unemployment and income inequality, reflecting the disproportionate impact of labor market disruptions on lower-income groups.
Description of the Data

The analysis uses annual data for Greece over 18 years (2003–2020). The variables analyzed include:

 Dependent Variable:
 Gini Coefficient: A measure of income inequality where 0 represents perfect equality and 1 represents maximum inequality.

 Independent Variables:
 LOGGDP: The natural logarithm of Gross Domestic Product (GDP), reflecting economic output while accounting for non-linear effects of growth.
 Unemployment Rate (% of total labor force): Represents the share of the labor force actively seeking employment but unable to find work.

Data Sources and Collection

 Gini Coefficient: Extracted from World Bank Open Data, calculated using annual household income surveys.
 GDP: Sourced from the World Bank and measured in constant US dollars to adjust for inflation and ensure comparability over time.
 Unemployment Rate: Sourced from the World Bank 
Analytical Methods

 Correlation Analysis:
 Pearson correlation coefficients were calculated to explore the strength and direction of relationships between variables.

 Linear Regression Model:
 The model estimated the impact of LOGGDP and unemployment on the Gini coefficient:
 Ginit=α+β1LOGGDPt+β2Unemploymentt+ϵt
 Ginit​=α+β1​LOGGDPt​+β2​Unemploymentt​+ϵt​
 α: Intercept.
 β1 and β2: Coefficients for LOGGDP and unemployment, respectively, representing their influence on the Gini coefficient.
 ε: Error term.

 Diagnostic Tests:
 Multicollinearity was assessed using Variance Inflation Factors (VIF).
 Model robustness was checked with Durbin-Watson statistics to evaluate autocorrelation.
 Residual analysis ensured compliance with normality assumptions.
Hypothesis Validation

 Economic Growth and Inequality (H1):
 The positive relationship between LOGGDP and the Gini coefficient underscores that growth during the analyzed periods did not equitably benefit all segments of society. 

 Unemployment and Inequality (H2):
 The stronger positive effect of unemployment on inequality highlights the critical role of labor market disruptions in intensifying disparities.