cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15620181
title: Reproduction Package for Evaluation of Bachleors Thesis 'Integrate Solver Indepenedent Quantifier Elimination using UltimateEliminator in JavaSMT with Subsequent Evaluation in CPAchecker'

description: This artifact contains the the benchmark results for the UltimateEliminator integration in JavaSMT, each solver tested has a folder containing logfiles and tables with the full results.

The benchmarks were following the SMT-COMP25.
DOI: 10.5281/zenodo.15620046
title: Repository For Empirical Analysis of WireGuard vs OpenVPN in Cloud and Virtualised Environments

description: VPN_TESTING

This release introduces the VPN testing automation tool (VPN_TEST) and the script used for visualisation (VPN_VISUALISE) during our experiment. We also place alongside the results we got from our experiment.

The key features and capabilities our tools include:

Features

    Automated VPN Performance Testing:        Python measures throughput (TCP/UDP) using iperf3.        Captures latency using ping tests.        Monitors CPU and memory usage during tests.

    Network Simulation        Python simulates high-latency and packet-loss conditions using tc.

    Data Analysis & Visualization:        R generates detailed bar plots comparing WireGuard and OpenVPN performance metrics.        Visualizations include throughput, latency, CPU usage, and memory usage.

Improvements

    Provides repeatable and consistent test setups with configurable parameters.    Ensures more detailed result saving for deeper analysis.

Usage

    Run the tests for WireGuard and OpenVPN protocols and visualise performance comparisons    Ideal for benchmarking VPN protocols under varying network conditions.
DOI: 10.5281/zenodo.15620047
title: Repository For Empirical Analysis of WireGuard vs OpenVPN in Cloud and Virtualised Environments

description: VPN_TESTING

This release introduces the VPN testing automation tool (VPN_TEST) and the script used for visualisation (VPN_VISUALISE) during our experiment. We also place alongside the results we got from our experiment.

The key features and capabilities our tools include:

Features

    Automated VPN Performance Testing:        Python measures throughput (TCP/UDP) using iperf3.        Captures latency using ping tests.        Monitors CPU and memory usage during tests.

    Network Simulation        Python simulates high-latency and packet-loss conditions using tc.

    Data Analysis & Visualization:        R generates detailed bar plots comparing WireGuard and OpenVPN performance metrics.        Visualizations include throughput, latency, CPU usage, and memory usage.

Improvements

    Provides repeatable and consistent test setups with configurable parameters.    Ensures more detailed result saving for deeper analysis.

Usage

    Run the tests for WireGuard and OpenVPN protocols and visualise performance comparisons    Ideal for benchmarking VPN protocols under varying network conditions.
DOI: 10.6078/m7qf8r1z
title: Data Table of CPAS Tombs
DOI: 10.15468/dl.77z6yc
title: Occurrence Download

description: A dataset containing 421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Coffea arabica L.",
 "Year 2000-2025"
 ]
}

 The dataset includes 421 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029700-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3wkx3
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Madagascar",
 "OccurrenceStatus is Present",
 "TaxonKey is Kalanchoe pinnata (Lam.) Pers.",
 "Year 1900-2025"
 ]
}

 The dataset includes 84 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029701-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cm66bc
title: Occurrence Download

description: A dataset containing 813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tacinga palmadora (Britton & Rose) N.P.Taylor & Stuppy"
 ]
}

 The dataset includes 813 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029702-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrac5x
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Cucumis dipsaceus Ehrenb. ex Spach",
 "Year 1900-2025"
 ]
}

 The dataset includes 278 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029703-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29265020
title: Dataset for Supporting stressed students: How veteran educators recognize and address academic stress

description: Abstract: Academic stress is a worldwide issue that impacts adolescent students and their educators. While educators may assist students in managing academic stress, they must first recognize students’ feelings of academic stress. Consequently, both recognizing and addressing academic stress were considered in this study. The theoretical framework consisted of a combination of Lazarus and Folkman’s transactional model of stress to frame students’ experiences of academic stress, and Dweck’s theory of mindset to consider educators’ perspectives about students’ growth. Participants included 10 veteran educators, selected through purposeful sampling. A hermeneutical phenomenological qualitative design was applied. Data collection methods included interviews, focus groups, and letters of advice. Analysis through phenomenological reduction revealed that educators recognized academic stress through observations of students’ behaviors and body language. Educators intervened to support students experiencing academic stress with coping strategies, mindset strategies, and strategies they had developed over their careers. The results of this study include a collection of strategies veteran educators apply to recognize and address academic stress in adolescent students. Academic stress impacts adolescent students worldwide. Educators may support stressed students by recognizing behaviors as symptoms of academic stress. Then, they may intervene with strategies to mitigate students’ academic stress. Veteran educators recommend mindset strategies, coping strategies, and strategies they developed over their careers to support students facing academic stress.Plain Language Summary: Academic stress impacts adolescent students worldwide. Educators may support stressed students by recognizing behaviors as symptoms of academic stress. Then, they may intervene with strategies to mitigate students’ academic stress. Veteran educators recommend mindset strategies, coping strategies, and strategies they developed over their careers to support students facing academic stress.
DOI: 10.6084/m9.figshare.29265020.v1
title: Dataset for Supporting stressed students: How veteran educators recognize and address academic stress

description: Abstract: Academic stress is a worldwide issue that impacts adolescent students and their educators. While educators may assist students in managing academic stress, they must first recognize students’ feelings of academic stress. Consequently, both recognizing and addressing academic stress were considered in this study. The theoretical framework consisted of a combination of Lazarus and Folkman’s transactional model of stress to frame students’ experiences of academic stress, and Dweck’s theory of mindset to consider educators’ perspectives about students’ growth. Participants included 10 veteran educators, selected through purposeful sampling. A hermeneutical phenomenological qualitative design was applied. Data collection methods included interviews, focus groups, and letters of advice. Analysis through phenomenological reduction revealed that educators recognized academic stress through observations of students’ behaviors and body language. Educators intervened to support students experiencing academic stress with coping strategies, mindset strategies, and strategies they had developed over their careers. The results of this study include a collection of strategies veteran educators apply to recognize and address academic stress in adolescent students. Academic stress impacts adolescent students worldwide. Educators may support stressed students by recognizing behaviors as symptoms of academic stress. Then, they may intervene with strategies to mitigate students’ academic stress. Veteran educators recommend mindset strategies, coping strategies, and strategies they developed over their careers to support students facing academic stress.Plain Language Summary: Academic stress impacts adolescent students worldwide. Educators may support stressed students by recognizing behaviors as symptoms of academic stress. Then, they may intervene with strategies to mitigate students’ academic stress. Veteran educators recommend mindset strategies, coping strategies, and strategies they developed over their careers to support students facing academic stress.
DOI: 10.15468/dl.7r2u5g
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Cameroon, Central African Republic, Chad, Congo, Democratic Republic of the, Congo, Ethiopia, Gambia, Ghana, Guinea, Côte d’Ivoire, Guinea-Bissau, Kenya, Liberia, Nigeria, Senegal, Sierra Leone, Somalia, Sudan, South Sudan, Tanzania, United Republic of, Togo, Uganda)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lagenaria siceraria (Molina) Standl.",
 "Year 1900-2025"
 ]
}

 The dataset includes 294 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029704-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15620588
title: Soil_Analysis_Database_Physical_Chemical_Biological_Parameters
DOI: 10.5281/zenodo.15620487
title: The Muddy Mix Dataset - aj

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620488
title: The Muddy Mix Dataset - aj

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620489
title: The Muddy Mix Dataset - ak

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.5281/zenodo.15620490
title: The Muddy Mix Dataset - ak

description: A split of the muddy mix dataset proposed by the paper "Learning to Highlight Audio by Watching Movies“.
DOI: 10.15468/dl.am3kxk
title: Occurrence Download

description: A dataset containing 960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is one of (Africa, Oceania)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lagenaria siceraria (Molina) Standl.",
 "Year 1900-2025"
 ]
}

 The dataset includes 960 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029705-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8szm4
title: Occurrence Download

description: A dataset containing 4153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is one of (Africa, Oceania)",
 "OccurrenceStatus is Present",
 "TaxonKey is Momordica charantia L.",
 "Year 1900-2025"
 ]
}

 The dataset includes 4153 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029706-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11100073
title: CodeEval: Pedagogy Based Benchmark Dataset for Evaluation Of Large Language Models Trained On Code
DOI: 10.15468/dl.3h2tks
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.66_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Geum aleppicum Jacq."
 ]
}

 The dataset includes 509 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029707-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbfpfq
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Cameroon, Central African Republic, Chad, Congo, Congo, Democratic Republic of the, Ethiopia, Gambia, Ghana, Guinea-Bissau, Guinea, Côte d’Ivoire, Somalia, Sierra Leone, South Sudan, Togo, Uganda)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lagenaria siceraria (Molina) Standl.",
 "Year 1900-2025"
 ]
}

 The dataset includes 237 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029708-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15619831
title: Role of the Board of Directors in Family Businesses in Peru: A Qualitative Perspective

description: This study analyzes the role of the board of directors in the management and development of family businesses in Peru. The research uses a qualitative approach, conducting in-depth interviews with 14 participants, and determining the total number of interviewees through theoretical saturation. The interviews included executives from four small, four medium-sized, and six large companies. The interviews included 12 semi-structured questions and were analyzed using ATLAS.ti software. The findings revealed that boards of directors are composed of family members and outside professionals, creating a balance between the family's vision and independent perspectives in a changing environment. Furthermore, the board plays a strategic and advisory role, making key decisions to guide the direction of the business. This study concludes that the board of directors is key to the strategic planning and sustainability of family businesses.
DOI: 10.5281/zenodo.15619832
title: Role of the Board of Directors in Family Businesses in Peru: A Qualitative Perspective

description: This study analyzes the role of the board of directors in the management and development of family businesses in Peru. The research uses a qualitative approach, conducting in-depth interviews with 14 participants, and determining the total number of interviewees through theoretical saturation. The interviews included executives from four small, four medium-sized, and six large companies. The interviews included 12 semi-structured questions and were analyzed using ATLAS.ti software. The findings revealed that boards of directors are composed of family members and outside professionals, creating a balance between the family's vision and independent perspectives in a changing environment. Furthermore, the board plays a strategic and advisory role, making key decisions to guide the direction of the business. This study concludes that the board of directors is key to the strategic planning and sustainability of family businesses.
DOI: 10.15468/dl.hfcnwg
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Geometry POLYGON((-49.91774 -16.0852,-33.67997 -16.0852,-33.67997 -0.93449,-49.91774 -0.93449,-49.91774 -16.0852))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Leopardus tigrinus (Schreber, 1775), Leopardus guttulus (Hensel, 1872))",
 "Year 2000-2025"
 ]
}

 The dataset includes 70 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029709-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bkp7m
title: Occurrence Download

description: A dataset containing 12469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is one of (Africa, Asia, North America, South America)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyperus esculentus L.",
 "Year 1900-2025"
 ]
}

 The dataset includes 12469 records from 476 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029710-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12101627
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.25934/pr00011413
title: HealthNexus Data challenge

description: Antimicrobial resistance (AMR) is one of the most urgent global health threats of our time, compromising our ability to treat common infectious diseases and leading to prolonged illness, disability, and death. Surveillance of AMR data provides critical insights into how resistance patterns are evolving across regions, pathogens, and time. Insights that are essential for effective clinical decision-making and public health interventions.

Our team has selected the “Global Evaluation of Antimicrobial Resistance via Surveillance” dataset to analyze AMR trends for a specific pathogen of public health importance. By focusing on pathogen-specific resistance trends across multiple geographies and timeframes, our research aims to uncover meaningful patterns in antimicrobial susceptibility, detect emerging resistance hotspots, and evaluate the effectiveness of current antimicrobial usage policies. By identifying shifts in resistance patterns, especially for pathogens associated with high morbidity or mortality, our research will support more accurate empirical treatment decisions. This ensures that patients receive the most effective antimicrobial agents sooner, reducing treatment failures, length of hospital stays, and mortality rates. Our pathogen-specific analysis will provide evidence to refine antimicrobial stewardship protocols. By mapping resistance trajectories, clinicians and pharmacists can be better equipped to limit the use of ineffective drugs, minimize unnecessary antibiotic use, and delay the emergence of resistance. The results of this research will help public health authorities design targeted interventions based on local and regional resistance data. It can inform policy decisions regarding infection prevention strategies, drug procurement priorities, and outbreak preparedness.

By demonstrating how surveillance data can be harnessed to generate actionable insights, our study supports the integration of data-driven decision-making into routine health system operations. This contributes to building more resilient health systems capable of responding proactively to AMR threats.

In summary, our project bridges microbiological data with public health policy, contributing to global efforts to curb AMR. Through rigorous, pathogen-specific analysis, we aim to generate knowledge that not only enhances clinical care but also reinforces systems-level responses to antimicrobial resistance.
DOI: 10.15468/dl.dzgnje
title: Occurrence Download

description: A dataset containing 1834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyperus papyrus L.",
 "Year 1900-2025"
 ]
}

 The dataset includes 1834 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029712-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15603492
title: Codebook MEX Supplementary Dataset 3

description: Accompanying data for 10.5281/zenodo.8327373, Codebook GHT-SELEX, genomic peaks and subsampled reads.

 

Update 2025: replaced files for TFs whose datasets were partially mislabeled in the original upload.

Affected TFs: CHCHD3, CPXCR1, MYRFL, PRDM5, TIGD4, TIGD5, TTF1, ZBED5, ZBTB5, ZNF578.
DOI: 10.5281/zenodo.15619991
title: Codebook MEX Supplementary Dataset 3

description: Accompanying data for 10.5281/zenodo.8327373, Codebook GHT-SELEX, genomic peaks and subsampled reads.

 

Update 2025: final update for TFs whose datasets were partially mislabeled in the original upload.

Affected TFs: CHCHD3, CPXCR1, MYRFL, PRDM5, TIGD4, TIGD5, TTF1, ZBED5, ZBTB5, ZNF578.
DOI: 10.5281/zenodo.8327969
title: Codebook MEX Supplementary Dataset 3

description: Accompanying data for 10.5281/zenodo.8327373, Codebook GHT-SELEX, genomic peaks and subsampled reads.

 

Update 2025: final update for TFs whose datasets were partially mislabeled in the original upload.

Affected TFs: CHCHD3, CPXCR1, MYRFL, PRDM5, TIGD4, TIGD5, TTF1, ZBED5, ZBTB5, ZNF578.
DOI: 10.5281/zenodo.8327970
title: Codebook MEX Supplementary Dataset 3

description: Accompanying data for 10.5281/zenodo.8327373, Codebook GHT-SELEX, genomic peaks and subsampled reads.
DOI: 10.5281/zenodo.15604202
title: Codebook MEX Supplementary Dataset 2

description: Accompanying data for 10.5281/zenodo.8327373, Codebook HT-SELEX, subsampled reads.

 

Update 2025: replaced files for TFs whose datasets were partially mislabeled in the original upload.

Affected TFs: CHCHD3, CPXCR1, MYRFL, PRDM5, TIGD4, TIGD5, TTF1, ZBED5, ZBTB5, ZNF578.
DOI: 10.5281/zenodo.15620252
title: Codebook MEX Supplementary Dataset 2

description: Accompanying data for 10.5281/zenodo.8327373, Codebook HT-SELEX, subsampled reads.

 

Update 2025: finalized files for TFs whose datasets were partially mislabeled in the original upload.

Affected TFs: CHCHD3, CPXCR1, MYRFL, PRDM5, TIGD4, TIGD5, TTF1, ZBED5, ZBTB5, ZNF578.
DOI: 10.5281/zenodo.8327476
title: Codebook MEX Supplementary Dataset 2

description: Accompanying data for 10.5281/zenodo.8327373, Codebook HT-SELEX, subsampled reads.

 

Update 2025: finalized files for TFs whose datasets were partially mislabeled in the original upload.

Affected TFs: CHCHD3, CPXCR1, MYRFL, PRDM5, TIGD4, TIGD5, TTF1, ZBED5, ZBTB5, ZNF578.
DOI: 10.5281/zenodo.8327477
title: Codebook MEX Supplementary Dataset 2

description: Accompanying data for 10.5281/zenodo.8327373, Codebook HT-SELEX, subsampled reads.