cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9h5ftdf2v6
title: CICIDS2017-DOS (MB)

description: CICIDS2017-DOS (MB) represents the moderately balanced version of the DoS-specific subset derived from the CICIDS2017 dataset. This version maintains all six traffic categories found in the PB dataset, including benign traffic and the five DoS attack types: DDoS, DoS GoldenEye, DoS Hulk, DoS Slowloris, and DoS SlowHTTPTest. Unlike the perfectly balanced distribution in the PB dataset, the MB dataset follows the default behaviour of the TUNE sampling framework, where majority classes are reduced to approximately twice the median class size, while minority classes are moderately increased only when needed. This produces a structured but naturally uneven distribution where attack categories remain present in meaningful proportions without full equalization.

All preprocessing steps used in constructing the PB dataset were also applied here, including feature reduction, cleaning, and converting categorical attributes to numeric format. The resulting dataset provides a controlled yet realistic level of imbalance suitable for evaluating model robustness to non-uniform class distributions and for exploring sampling-aware training approaches in intrusion detection research.

Cite

Panigrahi, R., & Borah, S. (2018). A detailed analysis of CICIDS2017 dataset for designing Intrusion Detection Systems. International Journal of Engineering & Technology, 7(3.24), 479-482.

Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani, “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018.
DOI: 10.17632/9h5ftdf2v6.1
title: CICIDS2017-DOS (MB)

description: CICIDS2017-DOS (MB) represents the moderately balanced version of the DoS-specific subset derived from the CICIDS2017 dataset. This version maintains all six traffic categories found in the PB dataset, including benign traffic and the five DoS attack types: DDoS, DoS GoldenEye, DoS Hulk, DoS Slowloris, and DoS SlowHTTPTest. Unlike the perfectly balanced distribution in the PB dataset, the MB dataset follows the default behaviour of the TUNE sampling framework, where majority classes are reduced to approximately twice the median class size, while minority classes are moderately increased only when needed. This produces a structured but naturally uneven distribution where attack categories remain present in meaningful proportions without full equalization.

All preprocessing steps used in constructing the PB dataset were also applied here, including feature reduction, cleaning, and converting categorical attributes to numeric format. The resulting dataset provides a controlled yet realistic level of imbalance suitable for evaluating model robustness to non-uniform class distributions and for exploring sampling-aware training approaches in intrusion detection research.

Cite

Panigrahi, R., & Borah, S. (2018). A detailed analysis of CICIDS2017 dataset for designing Intrusion Detection Systems. International Journal of Engineering & Technology, 7(3.24), 479-482.

Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani, “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018.
DOI: 10.17632/jj39dct9dz
title: Evidence of enhanced global vegetation activity driven by reduced human pressures

description: DATA from "Evidence of enhanced global vegetation activity driven by reduced human pressures":
1. Global vegetation changes before and during the COVID-19 pandemic
2. Government response stringency and the changes in human activities during the pandemic
3. Differences in the impact of human activity on vegetation change across regions in relatively low- , moderate- and high-density of population distribution
DOI: 10.17632/jj39dct9dz.1
title: Evidence of enhanced global vegetation activity driven by reduced human pressures

description: DATA from "Evidence of enhanced global vegetation activity driven by reduced human pressures":
1. Global vegetation changes before and during the COVID-19 pandemic
2. Government response stringency and the changes in human activities during the pandemic
3. Differences in the impact of human activity on vegetation change across regions in relatively low- , moderate- and high-density of population distribution
DOI: 10.17632/56v42r7dgf
title: CICIDS2017-DOS (PB)

description: CICIDS2017-DOS (PB) is the perfectly balanced version of the dataset created from the DoS-specific subset of the original CICIDS2017 data. It contains six traffic categories: benign, DDoS, DoS GoldenEye, DoS Hulk, DoS Slowloris, and DoS SlowHTTPTest, represented in equal proportions. The dataset includes 110,573 instances, with 26,064 samples assigned to each of the four largest classes and proportional representation for the remaining two classes based on the median-based sampling rule. All 72 processed numerical features are preserved after preprocessing, including formatted timestamp values, numeric IP encoding, and removal of redundant or null attributes.

This dataset is designed for benchmarking classifier performance under controlled distribution fairness. It is suitable for studies in model comparison, evaluation of classification algorithms without class skew influence, and reproducibility testing. The equal representation of benign and attack traffic allows a consistent evaluation baseline for intrusion detection research.


Cite:

Panigrahi, R., & Borah, S. (2018). A detailed analysis of CICIDS2017 dataset for designing Intrusion Detection Systems. International Journal of Engineering & Technology, 7(3.24), 479-482.

Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani, “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018.
DOI: 10.17632/56v42r7dgf.1
title: CICIDS2017-DOS (PB)

description: CICIDS2017-DOS (PB) is the perfectly balanced version of the dataset created from the DoS-specific subset of the original CICIDS2017 data. It contains six traffic categories: benign, DDoS, DoS GoldenEye, DoS Hulk, DoS Slowloris, and DoS SlowHTTPTest, represented in equal proportions. The dataset includes 110,573 instances, with 26,064 samples assigned to each of the four largest classes and proportional representation for the remaining two classes based on the median-based sampling rule. All 72 processed numerical features are preserved after preprocessing, including formatted timestamp values, numeric IP encoding, and removal of redundant or null attributes.

This dataset is designed for benchmarking classifier performance under controlled distribution fairness. It is suitable for studies in model comparison, evaluation of classification algorithms without class skew influence, and reproducibility testing. The equal representation of benign and attack traffic allows a consistent evaluation baseline for intrusion detection research.


Cite:

Panigrahi, R., & Borah, S. (2018). A detailed analysis of CICIDS2017 dataset for designing Intrusion Detection Systems. International Journal of Engineering & Technology, 7(3.24), 479-482.

Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani, “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018.
DOI: 10.17632/337xxc6sc3
title: The temporal relationship between dyslipidemia and risk of nephrolithiasis

description: Original data for the participants, R code and mplus codes for data analysis
DOI: 10.17632/337xxc6sc3.2
title: The temporal relationship between dyslipidemia and risk of nephrolithiasis

description: Original data for the participants, R code and mplus codes for data analysis
DOI: 10.17632/55yjccgfg9
title: Optimal posttreatment surveillance strategy for human papillomavirus-positive oropharyngeal cancer. Caineng Cao et al.

description: human papillomavirus-positive oropharyngeal cancer
DOI: 10.17632/55yjccgfg9.1
title: Optimal posttreatment surveillance strategy for human papillomavirus-positive oropharyngeal cancer. Caineng Cao et al.

description: human papillomavirus-positive oropharyngeal cancer
DOI: 10.17632/5f8dnmr3zn
title: The impacts of the ultra low emission zone (ULEZ) and COVID-19 restrictions on air quality in central London – evidence for an increase in small particles (Code)

description: This research used the ALICE High Performance Computing facility at the University of Leicester.

The Detrend.R script utilises the "deweather" R package which is currently in active development (Carslaw D (2025). deweather: Remove the influence of weather on air quality data. R package version 0.7.2.9104, https://openair-project.github.io/deweather/.). The script was written and executed in spring 2024, and has not been amended to reflect the continued development of the package. This script was executed in a Linux environment using R 4.3.1, with a seed of 56117. Analysis was undertaken using predominantly in R 4.5.

Modelled wind speed, modelled wind direction, modelled air temperature, NO2, O3, PM10 and PM2.5 data used in this study are publicly available via the UK AIR Data Selector or the “openair” R package. Relative humidity data for St James’s Park, as used in this research, is available via the NOAA Integrated Surface Database (NOAA-ISD) via the “worldmet” R package. MIDAS Open hourly rainfall and solar radiation observations for Kew Gardens, as used in this study, are available via CEDA Archive. Hourly traffic count data for Marylebone Road is available via the responses to two FOI requests made to Transport for London. Particle size and number distribution data used in this study was not rounded to the nearest whole number and is not available publicly, however a rounded version is available via the UK Air Data Selector.
DOI: 10.6084/m9.figshare.30401920
title: Supplementary material, code, and raw data for Higgins et al

description: All newly acquired raw data, Supplementary Files, and Figure JPEG files for Higgins et al. The .Rdata files are described in ReadMe.txt
DOI: 10.6084/m9.figshare.30401920.v1
title: Supplementary material, code, and raw data for Higgins et al

description: All newly acquired raw data, Supplementary Files, and Figure JPEG files for Higgins et al. The .Rdata files are described in ReadMe.txt
DOI: 10.17632/5f8dnmr3zn.1
title: The impacts of the ultra low emission zone (ULEZ) and COVID-19 restrictions on air quality in central London – evidence for an increase in small particles (Code)

description: This research used the ALICE High Performance Computing facility at the University of Leicester.

The Detrend.R script utilises the "deweather" R package which is currently in active development (Carslaw D (2025). deweather: Remove the influence of weather on air quality data. R package version 0.7.2.9104, https://openair-project.github.io/deweather/.). The script was written and executed in spring 2024, and has not been amended to reflect the continued development of the package. This script was executed in a Linux environment using R 4.3.1, with a seed of 56117. Analysis was undertaken using predominantly in R 4.5.

Modelled wind speed, modelled wind direction, modelled air temperature, NO2, O3, PM10 and PM2.5 data used in this study are publicly available via the UK AIR Data Selector or the “openair” R package. Relative humidity data for St James’s Park, as used in this research, is available via the NOAA Integrated Surface Database (NOAA-ISD) via the “worldmet” R package. MIDAS Open hourly rainfall and solar radiation observations for Kew Gardens, as used in this study, are available via CEDA Archive. Hourly traffic count data for Marylebone Road is available via the responses to two FOI requests made to Transport for London. Particle size and number distribution data used in this study was not rounded to the nearest whole number and is not available publicly, however a rounded version is available via the UK Air Data Selector.
DOI: 10.15468/dl.ps8r25
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lipotriche tithonioides"
 ]
}

 The dataset includes 93 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044746-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qtbqm
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.8188 27.44913, -110.6688 27.44913, -110.6688 27.59913, -110.8188 27.59913, -110.8188 27.44913))"
 ]
}

 The dataset includes 24 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044747-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtnv8b
title: Occurrence Download

description: A dataset containing 108699 records in GBIF matching the query:
SELECT
 taxonid,
 scientificnameid,
 scientificname,
 acceptedscientificname,
 taxonomicstatus
FROM
 occurrence
WHERE
 occurrence.family = 'Tenebrionidae'
 AND occurrence.taxonomicstatus NOT LIKE 'ACCEPTED'

 The dataset's 108699 records were derived from 745 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044731-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmt9jb
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT
 taxonid,
 scientificnameid,
 scientificname,
 acceptedscientificname,
 taxonomicstatus
FROM
 occurrence
WHERE
 occurrence.genus = 'Claudiella'
 AND occurrence.taxonomicstatus NOT LIKE 'ACCEPTED'

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044736-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17648126
title: Analyzing the concentration-dependent Soret coefficient minimum in salt solutions: An overview

description: The excel file contains all data, which are displayed in the following publication:

Rudani, B. A.; Briels, W. J.; Wiegand, S. Analyzing the concentration-dependent Soret coefficient minimum in salt solutions: An overview. Phys Chem Chem Phys 2025. DOI: 10.1039/D4CP04477K.

This new dataset contains additional data. We added temperature and concentration-dependent diffusion coefficients, thermal diffusion coefficients, and the refractive index increments with concentration and temperature for aqueous cesium iodide solutions.
DOI: 10.5281/zenodo.14793533
title: Analyzing the concentration-dependent Soret coefficient minimum in salt solutions: An overview

description: The excel file contains all data, which are displayed in the following publication:

Rudani, B. A.; Briels, W. J.; Wiegand, S. Analyzing the concentration-dependent Soret coefficient minimum in salt solutions: An overview. Phys Chem Chem Phys 2025. DOI: 10.1039/D4CP04477K.

This new dataset contains additional data. We added temperature and concentration-dependent diffusion coefficients, thermal diffusion coefficients, and the refractive index increments with concentration and temperature for aqueous cesium iodide solutions.
DOI: 10.17632/vmb623x46f.1
title: 元定型的激活和应用的功率效应：2视角的中介作用

description: Power Effects on the Activation and Application of Meta-stereotypes: The Mediating Role of Perspective Taking .
This study aimed to explore the effect of power on the activation and application of meta-stereotypes using different power-priming operations to measure the implicit and explicit effects of meta-stereotypes. In Experiments 1 and 2, we found that low power led to the activation and application of meta-stereotypes. Furthermore, we also found no difference between the varying power groups in the activation and application of meta-stereotype interference items. Moreover, the study’s findings indicated a significant difference in the valence of meta-stereotypes, which suggests that the participants activated and applied more negative meta-stereotypes. Finally, Experiment 3 yielded the negative effect of power on meta-stereotypes, which was mediated by perspective-taking. The results suggest that people with low power have more meta-stereotypes because they use out-of-group perception.
DOI: 10.17632/tc4kbzn265
title: DVRP-FPTW-instances

description: In this repository, there are benchmark instances to test the DVRPFPTW.
DOI: 10.17632/tc4kbzn265.2
title: DVRP-FPTW-instances

description: In this repository, there are benchmark instances to test the DVRPFPTW.
DOI: 10.17632/v55ttbh377
title: Supplementary Material: Constraining the drivers of barium isotope composition in marine barite: Insights from Pliocene-Holocene Eastern Mediterranean sapropels

description: The supplementary material consists of two files:

- The Excel file “Supplementary Data – Monedero-Contreras et al.” contains the full geochemical dataset used in this study. It includes measurements from sediment and barite samples collected across multiple Eastern Mediterranean sites, spanning both sapropel and non-sapropel intervals. The file compiles all raw and processed values required to reproduce the geochemical analyses, isotope calculations, and figures presented in the manuscript.

- The PDF file “Supplementary Information – Monedero-Contreras et al.” provides detailed descriptions of the laboratory procedures employed in this study, including barite separation, dissolution, Ba purification, and isotope measurement protocols. It also contains additional figures (e.g., cross-plots, depth relationships) and correlation tables that further support the interpretations and conclusions presented in the main text.
DOI: 10.17632/v55ttbh377.1
title: Supplementary Material: Constraining the drivers of barium isotope composition in marine barite: Insights from Pliocene-Holocene Eastern Mediterranean sapropels

description: The supplementary material consists of two files:

- The Excel file “Supplementary Data – Monedero-Contreras et al.” contains the full geochemical dataset used in this study. It includes measurements from sediment and barite samples collected across multiple Eastern Mediterranean sites, spanning both sapropel and non-sapropel intervals. The file compiles all raw and processed values required to reproduce the geochemical analyses, isotope calculations, and figures presented in the manuscript.

- The PDF file “Supplementary Information – Monedero-Contreras et al.” provides detailed descriptions of the laboratory procedures employed in this study, including barite separation, dissolution, Ba purification, and isotope measurement protocols. It also contains additional figures (e.g., cross-plots, depth relationships) and correlation tables that further support the interpretations and conclusions presented in the main text.
DOI: 10.15468/dl.42hfjf
title: Occurrence Download

description: A dataset containing 2993 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Teylers Museum - Solnhofen Fossil Collection"
 ]
}

 The dataset includes 2993 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044749-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9n8r3j7swc
title: CAFVRPILA-instances

description: In this repository, there are the benchmark instances to test the CAFVRPILA problem.
DOI: 10.17632/9n8r3j7swc.2
title: CAFVRPILA-instances

description: In this repository, there are the benchmark instances to test the CAFVRPILA problem.
DOI: 10.15468/dl.5jjpf9
title: Occurrence Download

description: A dataset containing 1905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hesperia comma",
 "HasCoordinate is true",
 "Geometry POLYGON ((6.224439 46.56151, 6.224439 48.43216, 8.984551 48.43216, 8.984551 46.56151, 6.224439 46.56151))",
 "Year is greater than or equal to 2020",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1905 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044752-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54ye2j
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.6688 27.44913, -110.5188 27.44913, -110.5188 27.59913, -110.6688 27.59913, -110.6688 27.44913))"
 ]
}

 The dataset includes 158 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044751-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9sd4yvb98z
title: Power Effects on the Activation and Application of Meta-stereotypes: The Mediating Role of Perspective Taking

description: Power Effects on the Activation and Application of Meta-stereotypes: The Mediating Role of Perspective Taking 

Abstract: This study aimed to explore the effect of power on the activation and application of meta-stereotypes using different power-priming operations to measure the implicit and explicit effects of meta-stereotypes. In Experiments 1 and 2, we found that low power led to the activation and application of meta-stereotypes. Furthermore, we also found no difference between the varying power groups in the activation and application of meta-stereotype interference items. Moreover, the study’s findings indicated a significant difference in the valence of meta-stereotypes, which suggests that the participants activated and applied more negative meta-stereotypes. Finally, Experiment 3 yielded the negative effect of power on meta-stereotypes, which was mediated by perspective-taking. The results suggest that people with low power have more meta-stereotypes because they use out-of-group perception.
DOI: 10.17632/9sd4yvb98z.1
title: Power Effects on the Activation and Application of Meta-stereotypes: The Mediating Role of Perspective Taking

description: Power Effects on the Activation and Application of Meta-stereotypes: The Mediating Role of Perspective Taking 

Abstract: This study aimed to explore the effect of power on the activation and application of meta-stereotypes using different power-priming operations to measure the implicit and explicit effects of meta-stereotypes. In Experiments 1 and 2, we found that low power led to the activation and application of meta-stereotypes. Furthermore, we also found no difference between the varying power groups in the activation and application of meta-stereotype interference items. Moreover, the study’s findings indicated a significant difference in the valence of meta-stereotypes, which suggests that the participants activated and applied more negative meta-stereotypes. Finally, Experiment 3 yielded the negative effect of power on meta-stereotypes, which was mediated by perspective-taking. The results suggest that people with low power have more meta-stereotypes because they use out-of-group perception.