cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f3sr9xr8md.1
title: Dry Fish Image Dataset

description: The collected dataset consists of twelve classes of dried fish, each representing a distinct species commonly found in local markets in Dhaka, Bangladesh. Multiple samples from each class were purchased and photographed under consistent conditions, following the procedure described in the Dataset Collection section. In total, 3,533 images were acquired, providing a diverse set of samples for model training and evaluation. The dataset captures variations in shape, size, texture, and color of the dried fish, ensuring that models can learn to differentiate between classes effectively.
DOI: 10.5517/ccdc.csd.cc2mk5jx
title: CCDC 2429579: Experimental Crystal Structure Determination

description: Related Article: Ashutosh Nath, John Mark Award, Wei Zhang|2025|CSD Communication|||
description: Related Article: Ashutosh Nath, John Mark Awad and Wei Zhang
|2025|Beilstein J.Org.Chem.|21|1161|doi:10.3762/bjoc.21.92
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/2wtbb9jnpx
title: Knowledge_PET3D_3D_Trajectory_and_Conflict_Dataset

description: This dataset contains all data required to reproduce the findings of the paper "Knowledge PET3D: An interpretable framework for 3D near-miss detection in thermal traffic video" (link to paper: https://doi.org/10.1016/j.eswa.2025.130821).

The dataset is organized by location and data type. It includes:
- 10 Example Videos: Ten representative thermal video examples (five per location) 
- Processed Trajectory Data: The complete 3D trajectory dataset (from the full 272 hours of observation ) for both locations.
- Intermediate Analysis Outputs: All intermediate data required to replicate the analysis, including the generated cluster definitions, inferred de facto traffic rules, and calculated LOF anomaly scores 
- Final Conflict Data: The final list of detected conflicts

The data was collected at two distinct urban intersections in a mid-sized European city: a complex signalized intersection (Location A) and an unsignalized right-turn slip lane (Location B) . All data was captured using AXIS Q1952-E thermal cameras (640x480, 30 fps) and is provided in georeferenced world coordinates (UTM).

The corresponding analysis code is publicly available on GitHub at: https://github.com/4rnd25/knowledge_PET3D
DOI: 10.17632/2wtbb9jnpx.1
title: Knowledge_PET3D_3D_Trajectory_and_Conflict_Dataset

description: This dataset contains all data required to reproduce the findings of the paper "Knowledge PET3D: An interpretable framework for 3D near-miss detection in thermal traffic video" (link to paper: https://doi.org/10.1016/j.eswa.2025.130821).

The dataset is organized by location and data type. It includes:
- 10 Example Videos: Ten representative thermal video examples (five per location) 
- Processed Trajectory Data: The complete 3D trajectory dataset (from the full 272 hours of observation ) for both locations.
- Intermediate Analysis Outputs: All intermediate data required to replicate the analysis, including the generated cluster definitions, inferred de facto traffic rules, and calculated LOF anomaly scores 
- Final Conflict Data: The final list of detected conflicts

The data was collected at two distinct urban intersections in a mid-sized European city: a complex signalized intersection (Location A) and an unsignalized right-turn slip lane (Location B) . All data was captured using AXIS Q1952-E thermal cameras (640x480, 30 fps) and is provided in georeferenced world coordinates (UTM).

The corresponding analysis code is publicly available on GitHub at: https://github.com/4rnd25/knowledge_PET3D
DOI: 10.17632/n625vpggn5
title: Multiparameter Sensitivity Analysis Results for the “DecarbFarm” Decarbonization Decision Support Tool

description: This dataset contains the results of a multiparameter global sensitivity analysis performed for the DecarbFarm farm-level decarbonization decision support tool. The analysis was conducted using two complementary global sensitivity analysis methods: the Sobol method and the Morris screening method. The objective of the analysis was to identify and quantify the influence of key parameters on the model outputs - greenhouse gas emissions - generated by DecarbFarm. The Sobol analysis provides first-order, second-order and total-order sensitivity indices, while the Morris method provides μ* and σ statistics indicating parameter importance and interaction effects.
Morris analysis is conducted as a global sensitivity analysis.
Sobol analysis is conducted using two steps approach. In the first step Sobol analysis is conducted for each input data set seperately. In the second step global Sobol analysis is conducted for the most sensitice parameters of each initial input data set.
DOI: 10.17632/n625vpggn5.3
title: Multiparameter Sensitivity Analysis Results for the “DecarbFarm” Decarbonization Decision Support Tool

description: This dataset contains the results of a multiparameter global sensitivity analysis performed for the DecarbFarm farm-level decarbonization decision support tool. The analysis was conducted using two complementary global sensitivity analysis methods: the Sobol method and the Morris screening method. The objective of the analysis was to identify and quantify the influence of key parameters on the model outputs - greenhouse gas emissions - generated by DecarbFarm. The Sobol analysis provides first-order, second-order and total-order sensitivity indices, while the Morris method provides μ* and σ statistics indicating parameter importance and interaction effects.
Morris analysis is conducted as a global sensitivity analysis.
Sobol analysis is conducted using two steps approach. In the first step Sobol analysis is conducted for each input data set seperately. In the second step global Sobol analysis is conducted for the most sensitice parameters of each initial input data set.
DOI: 10.17632/bf3t3vyc5v
title: The Secular Decline in Interest Rates and the Rise of Shadow Banks

description: Replication package for "The Secular Decline in Interest Rates and the Rise of Shadow Banks" by Andres Sarto and Olivier Wang, Journal of Financial Economics.
DOI: 10.17632/bf3t3vyc5v.1
title: The Secular Decline in Interest Rates and the Rise of Shadow Banks

description: Replication package for "The Secular Decline in Interest Rates and the Rise of Shadow Banks" by Andres Sarto and Olivier Wang, Journal of Financial Economics.
DOI: 10.17632/8s2vvbstjb
title: Gopher Tortoise Movement; Boyd Hill Nature Preserve 2024-2025

description: 1. A central topic in spatial ecology is identifying what determines animal movement patterns, including both external and internal factors. Given different sex-based selection pressures in mating and reproduction, movement patterns often vary between males and females in predictable manners, with males of polygynous species typically moving more than females to maximize mating opportunities. In female polygynous animals, selection is generally thought to favor movement patterns with smaller home ranges and high spatial site fidelity. Physiology may also constrain movement patterns in a way that can obscure sex-specific selection. 
2. We used GPS loggers and physiological assays to study Gopher Tortoise (Gopherus polyphemus) movement patterns at Boyd Hill Nature Preserve, located in Pinellas County, Florida, USA to determine how movement patterns depend on physiology (as measured by plasma lactate concentration and body condition) and movement strategy (total distance traveled, home range area, burrow use) by sex.
3. Total distance traveled was positively related to body condition and negatively related to baseline lactate concentration (which is an inverse metric of aerobic fitness). Thus, total distance traveled was physiologically constrained. Home range area and burrow use were not related to any physiological metrics.
4. There was not a significant difference in total linear distance traveled between male and female Gopher Tortoises, but males had a larger home range area. Male and female Gopher Tortoises thus used different movement strategies to maximize fitness consistent with different selection pressures by sex in a scramble competition mating system.
DOI: 10.17632/8s2vvbstjb.1
title: Gopher Tortoise Movement; Boyd Hill Nature Preserve 2024-2025

description: 1. A central topic in spatial ecology is identifying what determines animal movement patterns, including both external and internal factors. Given different sex-based selection pressures in mating and reproduction, movement patterns often vary between males and females in predictable manners, with males of polygynous species typically moving more than females to maximize mating opportunities. In female polygynous animals, selection is generally thought to favor movement patterns with smaller home ranges and high spatial site fidelity. Physiology may also constrain movement patterns in a way that can obscure sex-specific selection. 
2. We used GPS loggers and physiological assays to study Gopher Tortoise (Gopherus polyphemus) movement patterns at Boyd Hill Nature Preserve, located in Pinellas County, Florida, USA to determine how movement patterns depend on physiology (as measured by plasma lactate concentration and body condition) and movement strategy (total distance traveled, home range area, burrow use) by sex.
3. Total distance traveled was positively related to body condition and negatively related to baseline lactate concentration (which is an inverse metric of aerobic fitness). Thus, total distance traveled was physiologically constrained. Home range area and burrow use were not related to any physiological metrics.
4. There was not a significant difference in total linear distance traveled between male and female Gopher Tortoises, but males had a larger home range area. Male and female Gopher Tortoises thus used different movement strategies to maximize fitness consistent with different selection pressures by sex in a scramble competition mating system.
DOI: 10.7929/issda/awcuy3
title: The Irish Longitudinal Study on Ageing (TILDA) Wave 1, 2009-2011

description: TILDA collects information on all aspects of health, economic and social circumstances from adults aged 50 years and over resident in Ireland. Waves of data collection take place every two years. TILDA provides a comprehensive and accurate picture of the characteristics, needs and contributions of older persons in Ireland to inform and support improvements in policy and practice; advancements in technology and innovation; tailored education and training through an enhanced ageing research infrastructure; harmonisation with leading international research to ensure adoption of best policy and practice and comparability of results. TILDA is necessary to act as the foundation on which we can plan appropriate health, medical, social and economic policies for our older adults. Wave 1 dataset: version 1.13The version 1.13 pseudonymised microdata file (PMF) dataset includes data from 8,501 TILDA participants interviewed at Wave 1. This includes data from 8,172 individuals aged 50 and over and 329 younger spouses or partners of participants. It includes data from the home interview, the self-completion questionnaire, selected data from the health assessment and certain other variables derived from these data. More information on these derived variables can be found in the ‘Wave 1 Derived Variable Codebook’.
DOI: 10.17632/xydg54nj5h
title: Regional Crustal of Magnetic Susceptibility structures of the Archean Manica Greenstone Belt, Their Relationship to the Mundonguara Copper-Nickel Sulfide Deposit

description: Data used during the current investigation
DOI: 10.17632/xydg54nj5h.1
title: Regional Crustal of Magnetic Susceptibility structures of the Archean Manica Greenstone Belt, Their Relationship to the Mundonguara Copper-Nickel Sulfide Deposit

description: Data used during the current investigation
DOI: 10.15468/dl.ktquns
title: Occurrence Download

description: A dataset containing 1149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "DatasetKey is NDFF Butterfly Data"
 ]
}

 The dataset includes 1149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053710-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zr3xmv7d72
title: Research Paper for Carbon-Performance Nexus

description: This dataset contains all the research paper related to Carbon and Financial performance for Topic Modelling based analysis.
DOI: 10.17632/zr3xmv7d72.1
title: Research Paper for Carbon-Performance Nexus

description: This dataset contains all the research paper related to Carbon and Financial performance for Topic Modelling based analysis.
DOI: 10.17632/zh9p87pzks.1
title: Replication Package for "Fintech, financial constraints and cash holdings"

description: This replication folder for "Fintech, financial constraints and cash holdings".
DOI: 10.17632/9mw4rtkh9w
title: Rapid nitrogen removal in sandy beaches driven by periodic tidal inundations

description: Sandy beaches are hotspots of nitrogen loss in coastal ecosystems. Our initial dataset included the following measurements: total ²²⁴Ra and ²²⁸Th in bulk sediments; and dissolved ²²⁴Ra activity, DO, DIC, NOₓ⁻, and NH₄⁺ concentrations in seawater and porewater. Applying the ²²⁴Ra/²²⁸Th disequilibrium approach to these data, we estimated the export fluxes of DIC and DIN, as well as nitrogen removal rates, at three intertidal sandy beaches with distinct slopes along the southeast China coast.
DOI: 10.17632/9mw4rtkh9w.1
title: Rapid nitrogen removal in sandy beaches driven by periodic tidal inundations

description: Sandy beaches are hotspots of nitrogen loss in coastal ecosystems. Our initial dataset included the following measurements: total ²²⁴Ra and ²²⁸Th in bulk sediments; and dissolved ²²⁴Ra activity, DO, DIC, NOₓ⁻, and NH₄⁺ concentrations in seawater and porewater. Applying the ²²⁴Ra/²²⁸Th disequilibrium approach to these data, we estimated the export fluxes of DIC and DIN, as well as nitrogen removal rates, at three intertidal sandy beaches with distinct slopes along the southeast China coast.
DOI: 10.17632/kpj9gcnsz2
title: Java Application and It's Results to Design, Develop and Execute Preventative Tests Based on Synthetic App Monitoring Outcome and GenAI

description: Software development is characterized by quick innovations, intricate designs, and changing customer requirements. Preventative testing finds and fixes flaws early in the development process, acting as a proactive approach to guarantee that software products fulfill quality requirements. Development teams may improve the user experience by drastically lowering the probability of faults making it into production by putting in place a strong preventive testing architecture.
Preventative testing's capacity to find security holes and vulnerabilities in software programmes is one of its main advantages. Integrating security-focused preventive testing contributes to the overall integrity of digital ecosystems by protecting sensitive data and ensuring that software systems are resilient to possible breaches in the face of growing cyber threats.
Cost-effectiveness is another crucial facet of preventative testing. Early detection and resolution of defects during the development phase lead to substantial cost savings compared to addressing issues post-deployment. By minimizing the need for emergency fixes and updates, preventative testing supports efficient resource allocation and reduces the economic burden associated with software maintenance.
Preventative testing is also essential to keeping project deadlines and delivery dates on track. Early problem-solving and identification throughout the development life cycle helps teams better stick to project schedules, which guarantees on-time product delivery and satisfied customers.
Preventative testing strategies, which incorporate automated testing, continuous integration, and other cutting-edge techniques, grow along with the complexity of software systems. Development teams may produce high-quality software more quickly, detect any bottlenecks, and optimize their testing procedures by using these breakthroughs.
The application jar included with this data collection offers the preventative test solutions based on synthetic app monitoring outcome, code coverage information, performing browser synthetic app monitoring and provide valuable recommendation based on gen AI. Providing a platform that will function as an engine and offer preventative tests to identify errors early in the software development life cycle is the main problem statement driving this approach. This is done with the understanding that no further time will be spent on the procedure because the primary reason for not doing the preventive test is a time crisis. In addition to saving your time, parallel testing ensures that you receive the highest amount of test coverage. Preventative testing based on synthetic app monitoring gives you the ability to answer to support tickets with the greatest amount of ground testing before issues are reported.
Please do visit our github repo for more updated code and artifacts on https://github.com/sohambpatel/PreventativeTests
DOI: 10.17632/kpj9gcnsz2.5
title: Java Application and It's Results to Design, Develop and Execute Preventative Tests Based on Synthetic App Monitoring Outcome and GenAI

description: Software development is characterized by quick innovations, intricate designs, and changing customer requirements. Preventative testing finds and fixes flaws early in the development process, acting as a proactive approach to guarantee that software products fulfill quality requirements. Development teams may improve the user experience by drastically lowering the probability of faults making it into production by putting in place a strong preventive testing architecture.
Preventative testing's capacity to find security holes and vulnerabilities in software programmes is one of its main advantages. Integrating security-focused preventive testing contributes to the overall integrity of digital ecosystems by protecting sensitive data and ensuring that software systems are resilient to possible breaches in the face of growing cyber threats.
Cost-effectiveness is another crucial facet of preventative testing. Early detection and resolution of defects during the development phase lead to substantial cost savings compared to addressing issues post-deployment. By minimizing the need for emergency fixes and updates, preventative testing supports efficient resource allocation and reduces the economic burden associated with software maintenance.
Preventative testing is also essential to keeping project deadlines and delivery dates on track. Early problem-solving and identification throughout the development life cycle helps teams better stick to project schedules, which guarantees on-time product delivery and satisfied customers.
Preventative testing strategies, which incorporate automated testing, continuous integration, and other cutting-edge techniques, grow along with the complexity of software systems. Development teams may produce high-quality software more quickly, detect any bottlenecks, and optimize their testing procedures by using these breakthroughs.
The application jar included with this data collection offers the preventative test solutions based on synthetic app monitoring outcome, code coverage information, performing browser synthetic app monitoring and provide valuable recommendation based on gen AI. Providing a platform that will function as an engine and offer preventative tests to identify errors early in the software development life cycle is the main problem statement driving this approach. This is done with the understanding that no further time will be spent on the procedure because the primary reason for not doing the preventive test is a time crisis. In addition to saving your time, parallel testing ensures that you receive the highest amount of test coverage. Preventative testing based on synthetic app monitoring gives you the ability to answer to support tickets with the greatest amount of ground testing before issues are reported.
Please do visit our github repo for more updated code and artifacts on https://github.com/sohambpatel/PreventativeTests
DOI: 10.17632/c7xhmd79zy
title: Declining Nipping of Alcohol and Increasing Sipping of Coffee

description: Dataset Description

The study uses a cross-national, multilevel dataset combining firm-level, city-level, and country-level data to examine whether rising coffee consumption substitutes for declining alcohol consumption, and how this relationship is moderated by national culture. The dataset covers 112 countries and nearly 50,000 coffee firms.

At the firm level, the data include coffee-producing firms with variables such as firm size, firm age, listing status, subsidiary status, World Compliance (WOCO), technological sector (SIC-based), performance, inter-sector technological distance, and city cluster density. All firm-level variables are log-transformed and standardized and serve as Level-1 predictors in the multilevel models.

Firms are nested within cities (Level 2), allowing the analysis to control for shared local conditions such as infrastructure, market size, and regional consumption environments through city-level random and fixed effects.

At the country level (Level 3), the dataset includes:

Alcohol consumption per capita (liters of pure alcohol per person aged 15+), from the World Health Organization.

Coffee consumption per capita (kilograms per person per year), from the International Coffee Organization.

Economic and demographic controls, including GDP per capita and the share of the Muslim population.

National culture indicators, measured using Hofstede’s four dimensions: Power Distance (PDI), Individualism (IDV), Masculinity (MAS), and Uncertainty Avoidance (UAI).

The main dependent variable is alcohol consumption per capita, while coffee consumption per capita is the key independent variable. Cultural dimensions enter the models both as direct predictors and as interaction terms with coffee consumption, allowing the study to test cultural moderation of the substitution effect.

The dataset is designed for multilevel mixed-effects and fixed-effects estimation, enabling robust cross-level inference that links firm-level industrial dynamics to national consumption outcomes within distinct cultural and institutional contexts.