cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/88c22b1d-ac5f-43cc-9113-5efb8b253776.v1
title: Dataset with aggregated data accompanying SEFI Paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design

description: Aggregated data set in .xlsx format of the qualitative questionnaire resultsThis dataset contains aggregated data accompanying SEFI Paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design in .xlsx format of the qualitative questionnaire results. The research objective for the study was: To investigate the student experience in the Multi-Disciplinary Project in the MSc Robotics in the academic year 2023-2024 using a questionnaire which was fielded in June and July 2023. The main research question was: What can be learned from student feedback and perceptions regarding the course’s Learning Objectives and the overall running of the course? The data was collected using a Qualtrics online survey and both qualitative and quantitative data such as student satisfaction with course components were collected. The work was reported in a conference paper: Van Der Niet, A., Claij, C., & Saunders-Smits, G. (2023). Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design. European Society for Engineering Education (SEFI). DOI: 10.21427/W6WB-Z113
DOI: 10.4121/4b82dfc0-3fe4-40d6-9e32-3aef85cb44b2
title: Dataset with anonymous non-aggregated data accompanying SEFI paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design

description: This dataset contains the non-aggregated data accompanying the SEFI Paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design in .xlsx format of the qualitative questionnaire results. The research objective for the study was: To investigate the student experience in the Multi-Disciplinary Project in the MSc Robotics in the academic year 2023-2024 using a questionnaire which was fielded in June and July 2023. The main research question was: What can be learned from student feedback and perceptions regarding the course’s Learning Objectives and the overall running of the course? The data was collected using a Qualtrics online survey and both qualitative and quantitative data such as student satisfaction with course components were collected. The work was reported in a conference paper: Van Der Niet, A., Claij, C., & Saunders-Smits, G. (2023). Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design. European Society for Engineering Education (SEFI). DOI: 10.21427/W6WB-Z113<br><br>
DOI: 10.4121/4b82dfc0-3fe4-40d6-9e32-3aef85cb44b2.v1
title: Dataset with anonymous non-aggregated data accompanying SEFI paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design

description: This dataset contains the non-aggregated data accompanying the SEFI Paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design in .xlsx format of the qualitative questionnaire results. The research objective for the study was: To investigate the student experience in the Multi-Disciplinary Project in the MSc Robotics in the academic year 2023-2024 using a questionnaire which was fielded in June and July 2023. The main research question was: What can be learned from student feedback and perceptions regarding the course’s Learning Objectives and the overall running of the course? The data was collected using a Qualtrics online survey and both qualitative and quantitative data such as student satisfaction with course components were collected. The work was reported in a conference paper: Van Der Niet, A., Claij, C., & Saunders-Smits, G. (2023). Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design. European Society for Engineering Education (SEFI). DOI: 10.21427/W6WB-Z113<br><br>
DOI: 10.5281/zenodo.10049793
title: Supplemental Tables S3
DOI: 10.5281/zenodo.10049794
title: Supplemental Tables S3
DOI: 10.6084/m9.figshare.24884268
title: RSSCN-cLoud

description: Test dataset of RSSCN-cloud
DOI: 10.6084/m9.figshare.24884268.v1
title: RSSCN-cLoud

description: Test dataset of RSSCN-cloud
DOI: 10.5281/zenodo.7902496
title: Your "Notice" is Missing: Detecting and Fixing Violations of Modification Terms in Open Source Licenses during Forking

description: Open source software brings benefit to software community, but also introduces legal risks caused by license violations, which result in serious consequences such as lawsuits and financial losses. To mitigate legal risks, some approaches have been proposed to identify licenses, detect license incompatibilities and inconsistencies, and recommend licenses. As far as we know, however, there is no prior work to understand modification terms in open source licenses or to detect and fix violations of modification terms. To bridge this gap, we first empirically characterize modification terms in 47 open source licenses. These licenses all require certain forms of “notice” to describe the modifications made to the original work. Inspired by our study, we then design LIVO to automatically detect and fix violations of modification terms in open source licenses during forking. Our evaluation has shown the effectiveness and efficiency of LIVO. 18 pull requests of fixing modification term violations have received positive responses. 8 have been merged.
DOI: 10.5281/zenodo.8193143
title: Your "Notice" is Missing: Detecting and Fixing Violations of Modification Terms in Open Source Licenses during Forking

description: Open source software brings benefit to software community, but also introduces legal risks caused by license violations, which result in serious consequences such as lawsuits and financial losses. To mitigate legal risks, some approaches have been proposed to identify licenses, detect license incompatibilities and inconsistencies, and recommend licenses. As far as we know, however, there is no prior work to understand modification terms in open source licenses or to detect and fix violations of modification terms. To bridge this gap, we first empirically characterize modification terms in 47 open source licenses. These licenses all require certain forms of “notice” to describe the modifications made to the original work. Inspired by our study, we then design LIVO to automatically detect and fix violations of modification terms in open source licenses during forking. Our evaluation has shown the effectiveness and efficiency of LIVO. 18 pull requests of fixing modification term violations have received positive responses. 8 have been merged.
DOI: 10.5281/zenodo.10417084
title: Your "Notice" is Missing: Detecting and Fixing Violations of Modification Terms in Open Source Licenses during Forking

description: Open source software brings benefit to software community, but also introduces legal risks caused by license violations, which result in serious consequences such as lawsuits and financial losses. To mitigate legal risks, some approaches have been proposed to identify licenses, detect license incompatibilities and inconsistencies, and recommend licenses. As far as we know, however, there is no prior work to understand modification terms in open source licenses or to detect and fix violations of modification terms.


To bridge this gap, we first empirically characterize modification terms in 47 open source licenses. These licenses all require certain forms of “notice” to describe the modifications made to the original work. Inspired by our study, we then design LIVO to automatically detect and fix violations of modification terms in open source licenses during forking. Our evaluation has shown the effectiveness and efficiency of LIVO. 18 pull requests of fixing modification term violations have received positive responses. 8 have been merged.
DOI: 10.5281/zenodo.8207920
title: Your "Notice" is Missing: Detecting and Fixing Violations of Modification Terms in Open Source Licenses during Forking

description: Open source software brings benefit to software community, but also introduces legal risks caused by license violations, which result in serious consequences such as lawsuits and financial losses. To mitigate legal risks, some approaches have been proposed to identify licenses, detect license incompatibilities and inconsistencies, and recommend licenses. As far as we know, however, there is no prior work to understand modification terms in open source licenses or to detect and fix violations of modification terms. To bridge this gap, we first empirically characterize modification terms in 47 open source licenses. These licenses all require certain forms of “notice” to describe the modifications made to the original work. Inspired by our study, we then design LIVO to automatically detect and fix violations of modification terms in open source licenses during forking. Our evaluation has shown the effectiveness and efficiency of LIVO. 18 pull requests of fixing modification term violations have received positive responses. 8 have been merged.
DOI: 10.6084/m9.figshare.24884265
title: Crustal carbonate assimilation limits and CO<sub>2</sub><sub> </sub>production within arc magmas - The Jurassic Bonanza arc, Vancouver Island, Canada (Dissertation Tables)

description: Data tables from dissertation in excel format.
DOI: 10.6084/m9.figshare.24884265.v1
title: Crustal carbonate assimilation limits and CO<sub>2</sub><sub> </sub>production within arc magmas - The Jurassic Bonanza arc, Vancouver Island, Canada (Dissertation Tables)

description: Data tables from dissertation in excel format.
DOI: 10.15454/gkfoeh/4fvcfz
title: R model code.txt

description: Text file with the statistical model in R, with example data used in the publication
DOI: 10.15454/gkfoeh/aipleo
title: R output.pdf

description: Output from the R code to estimate the model parameters
DOI: 10.15454/gkfoeh/mudcve
title: Maple output.pdf

description: Maple code and solutions to integrate the system of differential equations
DOI: 10.15454/gkfoeh/2o862f
title: Maple output.pdf

description: Maple code and solutions to integrate the system of differential equations
DOI: 10.15454/gkfoeh/x4kd3e
title: R output.pdf

description: Output from the R code to estimate the model parameters
DOI: 10.15454/gkfoeh/yezrod
title: R model code.txt

description: Text file with the statistical model in R, with example data used in the publication
DOI: 10.6084/m9.figshare.24798825
title: <b>Microplastics reach the brain and interfere with honey bee cognition</b>

description: Behavioural dataset from the paper " Pasquini et al. Microplastics reach the brain and interfere with honey bee cognition were the effects of polystyrene (PS), plexiglass (PMMA) MPs, and a combination of the two, at three evaluated concentrations (0.5, 5 and 50 mg/L-1) on sucrose responsiveness and appetitive olfactory learning and memory.
DOI: 10.6084/m9.figshare.23896215
title: Yangtze River Basin Dataset

description: The Yangtze River Basin (YRB) Dataset contains the monthly surface water area, level, and storage changes of 119 lakes and 75 reservoirs in the YRB with each area larger than 10 km<sup>2</sup> during the period from 1990 to 2021.Citations and acknowledgements of the YRB database should be made as follows:Liu, Zheng; Chao, Nengfang; Chen, Gang; Zhang, Guoqing; Wang, Zhengtao; Li, Fupeng; et al. (2023). Yangtze River Basin Dataset. figshare. Dataset. https://doi.org/10.6084/m9.figshare.23896215.v1
DOI: 10.5281/zenodo.8351802
title: endometrial hyperplasia

description: endometrial hyperplasia
DOI: 10.15480/336.3291
title: Data from in situ uniaxial compression experiments on unsaturated granular media with X-ray CT-imaging

description: Der Datensatz enthält Spannungs-Dehnungs-Messungen und 3D Computertomografie (CT)-Daten, die in in situ einaxialen Druckversuchen mit paralleler CT-Bildgebung an teilgesättigten granularen (Boden-)Proben gemessen wurden. Die CT-Daten wurden mit dem Labor-Röntgentomographen am Laboratoire 3SR an der Université Grenoble Alpes während der einaxialen Kompression der Proben gemessen, die mit einem miniaturisierten einaxialen Druckversuchsgerät, entwickelt an der TUHH, aufgebracht wurde.
description: The data set contains stress strain measurements and 3D computed tomography (CT)-data measured in in situ uniaxial compression experiments with parallel CT-imaging on unsaturated granular (soil) specimens. The CT-data has been measured with the laboratory X-ray tomograph at Laboratoire 3SR, Université Grenoble Alpes during uniaxial compression of the specimens applied by a miniaturized uniaxial compression apparatus developed at TUHH.
DOI: 10.15480/336.4291
title: Data from in situ X-ray CT imaging of transient water retention experiments with cyclic drainage and imbibition

description: This data set contains research data related to the article "In situ X-ray CT imaging of transient water retention experiments with cyclic drainage and imbibition" to be published in the Journal Open Geomechanics. The research data include 3D CT images acquired during cyclic drainage and imbibition of a sand specimen in a transient in situ water retention experiment that was run in the X-ray tomograph at Laboratoire 3SR at Univ. Grenoble Alpes. Besides the CT images, also data from the multiphase image analysis as well as macroscopic water retention data, measured in parallel to the CT scans, are published.
DOI: 10.15480/336.4364
title: Implementation of a multiphase Lattice Boltzmann Method for the simulation of water retention behaviour of CT scanned granular media

description: This data set contains a multiphase Lattice Boltzmann implementation (C++ code) for the simulation of water retention behaviour in granular media and related example files to run a simulation of cyclic drainage and imbibition in a cubic computational domain that is derived from binarised CT data including spatial information of the solid and pore distribution.
DOI: 10.6084/m9.figshare.24082053
title: Increase in MJO Predictability Under Global Warming

description: These data are the RMMI time series that are used in the manuscript entitled "Increase in MJO Predictability Under Global Warming" for CESM2 model output, CERA-20C reanalysis and ECMWF seasonal forecasts for 20C.
DOI: 10.6084/m9.figshare.24082053.v1
title: Increase in MJO Predictability Under Global Warming

description: These data are the RMMI time series that are used in the manuscript entitled "Increase in MJO Predictability Under Global Warming" for CESM2 model output, CERA-20C reanalysis and ECMWF seasonal forecasts for 20C.
DOI: 10.6084/m9.figshare.24251383.v1
title: Building synthetic chromosomes from natural DNA

description: This archive includes supplementary data and code for processing and plotting data associated with the paper 'Building synthetic chromosomes from natural DNA'.
DOI: 10.6084/m9.figshare.24251383
title: Building synthetic chromosomes from natural DNA

description: This archive includes supplementary data and code for processing and plotting data associated with the paper 'Building synthetic chromosomes from natural DNA'.
DOI: 10.6084/m9.figshare.24884490
title: <b>Correlation of modification parameters with noise in each working condition</b>.xlsx

description: The simulation-derived noise data were collected and the corresponding noise-to-modification-parameter relationship .
DOI: 10.6084/m9.figshare.24884490.v1
title: <b>Correlation of modification parameters with noise in each working condition</b>.xlsx

description: The simulation-derived noise data were collected and the corresponding noise-to-modification-parameter relationship .
DOI: 10.5281/zenodo.10417141
title: Your "Notice" is Missing: Detecting and Fixing Violations of Modification Terms in Open Source Licenses during Forking

description: Open source software brings benefit to software community, but also introduces legal risks caused by license violations, which result in serious consequences such as lawsuits and financial losses. To mitigate legal risks, some approaches have been proposed to identify licenses, detect license incompatibilities and inconsistencies, and recommend licenses. As far as we know, however, there is no prior work to understand modification terms in open source licenses or to detect and fix violations of modification terms.


To bridge this gap, we first empirically characterize modification terms in 47 open source licenses. These licenses all require certain forms of “notice” to describe the modifications made to the original work. Inspired by our study, we then design LIVO to automatically detect and fix violations of modification terms in open source licenses during forking. Our evaluation has shown the effectiveness and efficiency of LIVO. 18 pull requests of fixing modification term violations have received positive responses. 8 have been merged.
DOI: 10.5281/zenodo.7902495
title: Your "Notice" is Missing: Detecting and Fixing Violations of Modification Terms in Open Source Licenses during Forking

description: Open source software brings benefit to software community, but also introduces legal risks caused by license violations, which result in serious consequences such as lawsuits and financial losses. To mitigate legal risks, some approaches have been proposed to identify licenses, detect license incompatibilities and inconsistencies, and recommend licenses. As far as we know, however, there is no prior work to understand modification terms in open source licenses or to detect and fix violations of modification terms.


To bridge this gap, we first empirically characterize modification terms in 47 open source licenses. These licenses all require certain forms of “notice” to describe the modifications made to the original work. Inspired by our study, we then design LIVO to automatically detect and fix violations of modification terms in open source licenses during forking. Our evaluation has shown the effectiveness and efficiency of LIVO. 18 pull requests of fixing modification term violations have received positive responses. 8 have been merged.
DOI: 10.5281/zenodo.10417168
title: Dataset and scripts for statistics and visualization in "From OxGarage to TEIGarage and MEIGarage"

description: Dataset and scripts for statistics and visualization in the paper "From OxGarage to TEIGarage and MEIGarage" from GitLab repository https://git.uni-paderborn.de/aferger/garage-statistics
DOI: 10.5281/zenodo.10417167
title: Dataset and scripts for statistics and visualization in "From OxGarage to TEIGarage and MEIGarage"

description: Dataset and scripts for statistics and visualization in the paper "From OxGarage to TEIGarage and MEIGarage" from GitLab repository https://git.uni-paderborn.de/aferger/garage-statistics
DOI: 10.6084/m9.figshare.24884538
title: Original data of BRANT-MERQS scoring table for the quality assessment of type 3 medication review in patients with rheumatoid arthritis and those with type 2 diabetes mellitus

description: Original data: scores for the quality criteria of reports in two subprojects: rheumatoid arthritis and type 2 diabetes.
DOI: 10.34740/kaggle/dsv/7253097
title: British Airways Reviews
DOI: 10.34740/kaggle/dsv/7253106
title: AutoXGB
DOI: 10.5281/zenodo.10297798
title: Data from the Untethered Balloon Launch of a Holographic Imager Into Cloud Near Adelaide, South Australia in August 2020

description: This dataset was obtained from an untethered balloon launch into cloud near Adelaide, South Australia in August 2020. The balloon payload train consisted of a holographic imager, polarsonde, webcam, and meteorological sensors.

Data is organised as follows:



A netcdf file consisting of;



Raw RS41 radiosonde and data logger temperature and relative humidity profiles

Mean number density (30-second averaged) from the holographic imager  

Mean equivalent diameter (30-second averaged) from the holographic imager  

Raw polarsonde co and cross polarisation signals



A selection of focussed particle images 

A selection of webcam images

A figure summarising the results of HYSPLIT back trajectory modelling for the launch (FigS1)

A figure showing the HIMAWARI Cloud Type classification for the region surrounding the launch site (FigS2)


This dataset can be used to reproduce the key figures of the following paper submitted to Atmospheric Measurement Techniques (under review 2023):   

'A Light-Weight Holographic Imager for Cloud Microphysical Studies from an Untethered Balloon'.

Additional details about the instruments and measurements can be found in that publication.
DOI: 10.34740/kaggle/dsv/7253098
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.5281/zenodo.10417219
title: Electrochemical Oxidation for Treatment of PFAS in Contaminated Water and Fractionated Foam─A Pilot-Scale Study

description: This is the supplementary data to the publication 'Electrochemical Oxidation for Treatment of PFAS in Contaminated Water and Fractionated Foam─A Pilot-Scale Study' (https://doi.org/10.1021/acsestwater.2c00660).
DOI: 10.5281/zenodo.10417220
title: Electrochemical Oxidation for Treatment of PFAS in Contaminated Water and Fractionated Foam─A Pilot-Scale Study

description: This is the supplementary data to the publication 'Electrochemical Oxidation for Treatment of PFAS in Contaminated Water and Fractionated Foam─A Pilot-Scale Study' (https://doi.org/10.1021/acsestwater.2c00660).
DOI: 10.5281/zenodo.10417216
title: Integrated Treatment of Per- and Polyfluoroalkyl Substances in Existing Wastewater Treatment Plants─Scoping the Potential of Foam Partitioning

description: This file corresponds to the publication Integrated Treatment of Per- and Polyfluoroalkyl Substances in Existing Wastewater Treatment Plants─Scoping the Potential of Foam Partitioning: https://doi.org/10.1021/acsestengg.3c00091 

 

All concentrations are in ng/L and were rounded to two significant digits.

When all triplicates had concentrations below the LOQ, the concentration is reported as < LOQ. 

When at least one triplicate had a concentration above the LOQ, the other triplicates' concentrations were set to half the LOQ, and the average of the three is reported.

 

Sheet names correspond to the site identifiers (Table 1 of main text).
DOI: 10.5281/zenodo.10417217
title: Integrated Treatment of Per- and Polyfluoroalkyl Substances in Existing Wastewater Treatment Plants─Scoping the Potential of Foam Partitioning

description: This file corresponds to the publication Integrated Treatment of Per- and Polyfluoroalkyl Substances in Existing Wastewater Treatment Plants─Scoping the Potential of Foam Partitioning: https://doi.org/10.1021/acsestengg.3c00091 

 

All concentrations are in ng/L and were rounded to two significant digits.

When all triplicates had concentrations below the LOQ, the concentration is reported as < LOQ. 

When at least one triplicate had a concentration above the LOQ, the other triplicates' concentrations were set to half the LOQ, and the average of the three is reported.

 

Sheet names correspond to the site identifiers (Table 1 of main text).
DOI: 10.5281/zenodo.10417191
title: Foam fractionation for removal of per- and polyfluoroalkyl substances: Towards closing the mass balance

description: This data is associated with the publication Foam fractionation for removal of per- and polyfluoroalkyl substances: Towards closing the mass balance: https://doi.org/10.1016/j.scitotenv.2023.162050.
DOI: 10.5281/zenodo.10417192
title: Foam fractionation for removal of per- and polyfluoroalkyl substances: Towards closing the mass balance

description: This data is associated with the publication Foam fractionation for removal of per- and polyfluoroalkyl substances: Towards closing the mass balance: https://doi.org/10.1016/j.scitotenv.2023.162050.
DOI: 10.5281/zenodo.10417225
title: Pilot-Scale Continuous Foam Fractionation for the Removal of Per- and Polyfluoroalkyl Substances (PFAS) from Landfill Leachate

description: This is the supplementary data for the publication 'Pilot-Scale Continuous Foam Fractionation for the Removal of Per- and Polyfluoroalkyl Substances (PFAS) from Landfill Leachate' (https://pubs.acs.org/doi/full/10.1021/acsestwater.2c00032)