cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/16820980.v1
title: Data Presented in Positive Corona Inception from Charged Ellipsoidal Thundercloud Hydrometeors

description: This dataset contains all data presented in the manuscript "A Model for Positive Corona Inception from Charged Ellipsoidal Thundercloud Hydrometeors" by S.A. Peeters et al. (under review, open access at https://www.essoar.org/doi/10.1002/essoar.10507503.1). The data is indicated by figure names corresponding to the figures of this manuscript. The goal of this study is to investigate the conditions for the onset of a positive corona discharge in air for ellipsoidal hydrometeors. This is done for different pressures (relative gas density delta in the dataset) and aspect ratios of the ellipsoids. By doing so, the feasibility of corona inception from ellipsoidal hydrometeors can be formulated based on the self-sustaining condition of electron avalanches. From the theoretical expressions formulated around this condition, the equation defining this condition can be solved in Matlab. The data presented is the numerical output (electric field, voltage, surface charge, and ionization integral values) of the Matlab scripts, which are attached as supporting information to the study. The data used to determine the breakdown field is also included. The data, which consists of ionization and attachment coefficients, was obtained from the BOLSIG+ and Phelps databases.
DOI: 10.4121/16820980
title: Data Presented in Positive Corona Inception from Charged Ellipsoidal Thundercloud Hydrometeors

description: This dataset contains all data presented in the manuscript "A Model for Positive Corona Inception from Charged Ellipsoidal Thundercloud Hydrometeors" by S.A. Peeters et al. (under review, open access at https://www.essoar.org/doi/10.1002/essoar.10507503.1). The data is indicated by figure names corresponding to the figures of this manuscript. The goal of this study is to investigate the conditions for the onset of a positive corona discharge in air for ellipsoidal hydrometeors. This is done for different pressures (relative gas density delta in the dataset) and aspect ratios of the ellipsoids. By doing so, the feasibility of corona inception from ellipsoidal hydrometeors can be formulated based on the self-sustaining condition of electron avalanches. From the theoretical expressions formulated around this condition, the equation defining this condition can be solved in Matlab. The data presented is the numerical output (electric field, voltage, surface charge, and ionization integral values) of the Matlab scripts, which are attached as supporting information to the study. The data used to determine the breakdown field is also included. The data, which consists of ionization and attachment coefficients, was obtained from the BOLSIG+ and Phelps databases.
DOI: 10.4121/16850938.v1
title: The data and calculation of emergency material inventory routing problem during covid-19 pandemic

description: <i>These data are used to validate the emergency material inventory routing problem（EMIRP） model and fall within the category of empirical research. And these data are presented according to the inventory routing problem(IRP) data provided by Archetti et al.(2007) to adapted to the EMIRP model. </i><i>The whole file contains four sub-files, the first two sub-files are the example data and the last two sub-files are the calculation results. </i><i>The classification of each data is detailed in the file</i><br><b><i></i></b><b><i></i></b>
DOI: 10.4121/16850938
title: The data and calculation of emergency material inventory routing problem during covid-19 pandemic

description: <i>These data are used to validate the emergency material inventory routing problem（EMIRP） model and fall within the category of empirical research. And these data are presented according to the inventory routing problem(IRP) data provided by Archetti et al.(2007) to adapted to the EMIRP model. </i><i>The whole file contains four sub-files, the first two sub-files are the example data and the last two sub-files are the calculation results. </i><i>The classification of each data is detailed in the file</i><br><b><i></i></b><b><i></i></b>
DOI: 10.4121/16837138.v1
title: Data underlying the research of Mg isotope compositions of river water and suspended load in the southeastern coastal region of China

description: Elemental and Mg isotope compositions of river water and suspended load, and the mineral type and content of suspended load from the river basin in the southeastern coastal region of China. Data are presented to investigate the Mg cycle during silicate weathering at basin scale.
DOI: 10.4121/16837138
title: Data underlying the research of Mg isotope compositions of river water and suspended load in the southeastern coastal region of China

description: Elemental and Mg isotope compositions of river water and suspended load, and the mineral type and content of suspended load from the river basin in the southeastern coastal region of China. Data are presented to investigate the Mg cycle during silicate weathering at basin scale.
DOI: 10.4121/14975013.v1
title: Data underlying the publication: Theoretical Minimum Uncertainty of Single-Molecule Localizations Using a Single-Photon Avalanche Diode Array

description: The objective of this research was to find the theoretical minimum uncertainty for single-molecule localizations using a single-photon avalanche diode (SPAD). The key questions here was whether or not the binary output of a SPAD impacts the theoretical minimum uncertainty for the SPAD image model, or whether it is identical to the previously derived theoretical minimum uncertainty for an image model using Poissonian photon statistics. <br>After having theoretically derived this minimum uncertainty and having verified this result using simulation data we concluded that the difference between the Poissonian and binary image model is largest when saturation occurs in the pixels. To test this we had to create saturation in an experimental setup. <br>To do this we have built a TIRF setup where we observed DNA-PAINT nanorulers using a SwissSPAD2. Using this setup we acquired one large dataset taken at the minimum possible exposure time of the SwissSPAD2: 10 us. We then used this dataset to aggregate multiple frames into a single image, thereby setting any pixel value above 1 to 1, hereby creating saturation. <br>The .tiff data in this data set shows images for 8 different numbers of aggregated frames, from 16 aggregated frames to 2048 aggregated frames.
DOI: 10.4121/14975013.v2
title: Data underlying the publication: Theoretical Minimum Uncertainty of Single-Molecule Localizations Using a Single-Photon Avalanche Diode Array

description: The objective of this research was to find the theoretical minimum uncertainty for single-molecule localizations using a single-photon avalanche diode (SPAD). The key questions here was whether or not the binary output of a SPAD impacts the theoretical minimum uncertainty for the SPAD image model, or whether it is identical to the previously derived theoretical minimum uncertainty for an image model using Poissonian photon statistics. <br>After having theoretically derived this minimum uncertainty and having verified this result using simulation data we concluded that the difference between the Poissonian and binary image model is largest when saturation occurs in the pixels. To test this we had to create saturation in an experimental setup. <br>To do this we have built a TIRF setup where we observed DNA-PAINT nanorulers using a SwissSPAD2. Using this setup we acquired one large dataset taken at the minimum possible exposure time of the SwissSPAD2: 10 us. We then used this dataset to aggregate multiple frames into a single image, thereby setting any pixel value above 1 to 1, hereby creating saturation. <br>The .tiff data in this data set shows images for 8 different numbers of aggregated frames, from 16 aggregated frames to 2048 aggregated frames.<br>The two zipped directories contain emitter location data that is obtained when applying a localization pipeline on the .tiff files. Using the files in these directories allow for immediate reproduction of the plots in the paper.
DOI: 10.4121/14975013
title: Data underlying the publication: Theoretical Minimum Uncertainty of Single-Molecule Localizations Using a Single-Photon Avalanche Diode Array

description: The objective of this research was to find the theoretical minimum uncertainty for single-molecule localizations using a single-photon avalanche diode (SPAD). The key questions here was whether or not the binary output of a SPAD impacts the theoretical minimum uncertainty for the SPAD image model, or whether it is identical to the previously derived theoretical minimum uncertainty for an image model using Poissonian photon statistics. <br>After having theoretically derived this minimum uncertainty and having verified this result using simulation data we concluded that the difference between the Poissonian and binary image model is largest when saturation occurs in the pixels. To test this we had to create saturation in an experimental setup. <br>To do this we have built a TIRF setup where we observed DNA-PAINT nanorulers using a SwissSPAD2. Using this setup we acquired one large dataset taken at the minimum possible exposure time of the SwissSPAD2: 10 us. We then used this dataset to aggregate multiple frames into a single image, thereby setting any pixel value above 1 to 1, hereby creating saturation. <br>The .tiff data in this data set shows images for 8 different numbers of aggregated frames, from 16 aggregated frames to 2048 aggregated frames.<br>The two zipped directories contain emitter location data that is obtained when applying a localization pipeline on the .tiff files. Using the files in these directories allow for immediate reproduction of the plots in the paper.
DOI: 10.4121/14216519.v1
title: Data underlying the article: A geometrical method for quantifying mixing fractions in three-component groundwater mixing: experimental evidence from Ferrarelle aquifers

description: In this file the chemical analyses of groundwater samples from Ferrarelle aquifers (Riardo plain, southern Italy) and related data elaborations are reported. The data elaborations consist in correlations computing and fractions estimation of the investigated groundwater three component mixing. The dataset consists in four sheets: 1) "Row data" sheet reports the monthly chemical analyses of sampled groundwater from each well analyzed for major ions, minor and trace elements (IC and ICPMS analyses). 2) "correlation matrix" sheet reports the correlations computed among all the analyzed chemical variables. 3) "algebraic mixing computations" reports the computing of three component mixing fractions through the traditional mass balance equations and the related uncertainties. 4) " EMMA mixing computations" reports the computing of three component mixing fractions through EndMember Mixing Analysis (EMMA method) and the related uncertainties.
DOI: 10.4121/14216519.v2
title: Data underlying the article: A geometrical method for quantifying endmembers' fractions in three‐component groundwater mixing

description: In this file the chemical analyses of groundwater samples from Ferrarelle aquifers (Riardo plain, southern Italy) and related data elaborations are reported. The data elaborations consist in correlations computing and fractions estimation of the investigated groundwater three component mixing. The dataset consists in four sheets: 1) "Row data" sheet reports the monthly chemical analyses of sampled groundwater from each well analyzed for major ions, minor and trace elements (IC and ICPMS analyses). 2) "correlation matrix" sheet reports the correlations computed among all the analyzed chemical variables. 3) "algebraic mixing computations" reports the computing of three component mixing fractions through the traditional mass balance equations and the related uncertainties. 4) " EMMA mixing computations" reports the computing of three component mixing fractions through EndMember Mixing Analysis (EMMA method) and the related uncertainties.
DOI: 10.4121/14216519
title: Data underlying the article: A geometrical method for quantifying endmembers' fractions in three‐component groundwater mixing

description: In this file the chemical analyses of groundwater samples from Ferrarelle aquifers (Riardo plain, southern Italy) and related data elaborations are reported. The data elaborations consist in correlations computing and fractions estimation of the investigated groundwater three component mixing. The dataset consists in four sheets: 1) "Row data" sheet reports the monthly chemical analyses of sampled groundwater from each well analyzed for major ions, minor and trace elements (IC and ICPMS analyses). 2) "correlation matrix" sheet reports the correlations computed among all the analyzed chemical variables. 3) "algebraic mixing computations" reports the computing of three component mixing fractions through the traditional mass balance equations and the related uncertainties. 4) " EMMA mixing computations" reports the computing of three component mixing fractions through EndMember Mixing Analysis (EMMA method) and the related uncertainties.
DOI: 10.4121/16825366.v1
title: Data underlying the project: Recovery of Bacteroides thetaiotaomicron ameliorates hepatic steatosis in experimental alcohol-related liver disease

description: The role of Bacteroides thetaiotaomicron in alcohol-related liver disease was investigated in a preclinical model. Materials and methods are described in detail. Main raw data (qPCR analysis, histological analysis, etc.) and Supplementary data are also reported.
DOI: 10.4121/16825366
title: Data underlying the project: Recovery of Bacteroides thetaiotaomicron ameliorates hepatic steatosis in experimental alcohol-related liver disease

description: The role of Bacteroides thetaiotaomicron in alcohol-related liver disease was investigated in a preclinical model. Materials and methods are described in detail. Main raw data (qPCR analysis, histological analysis, etc.) and Supplementary data are also reported.
DOI: 10.4121/uuid:6ca826c5-f6f4-477b-9b53-07ab14a86690
title: Low frequency measured data for tight rocks

description: This dataset includes a VpVs and extensional attenuation of a tight sandstone and a carbonate samples, which is measured by using forced oscillation technique in the seismic frequencies of 1 - 1000 Hz at varying water saturation levels
DOI: 10.4121/uuid:30a17c04-4000-42d2-88cb-d5b6c5cc8f91
title: Low frequency dataset for tight sandstones and carboantes

description: Dataset includes VpVs ratio and extensional attenuation of a tight sandstone and a carbonate samples, which are meaured by using forced-oscillation technique in the seismic frequencies of 1-1000 Hz at varying water saturations
DOI: 10.4121/12721394.v3
title: Low frequency dataset for tight sandstones and carbonates

description: Dataset includes VpVs ratio and extensional attenuation of a tight sandstone and a carbonate samples, which are meaured by using forced-oscillation technique in the seismic frequencies of 1-1000 Hz at varying water saturations
DOI: 10.4121/12721394
title: Low frequency dataset for tight sandstones and carbonates

description: Dataset includes VpVs ratio and extensional attenuation of a tight sandstone and a carbonate samples, which are meaured by using forced-oscillation technique in the seismic frequencies of 1-1000 Hz at varying water saturations
DOI: 10.4121/16817389
title: Maximum flood extents Limburg floods July 2021

description: This dataset provides a preliminary maximum flood extent for the Meuse, Geul and Roer rivers during the July 2021 floods. These flood extents are derived from best available modelled information and manually improved by local knowledge and available detailed photograph.
DOI: 10.4121/16817404
title: Emergency ordinances Limburg floods July 2021

description: This dataset describes the area extents of emergency ordinances in place during and after the floods in July 2021 in the Netherlands.
DOI: 10.4121/16817425.v1
title: Incidents Water Management Infrastructure Limburg floods July 2021

description: This dataset provides the locations with incidents to water management infrastructure described in the Fact-finding report on Limburg flood 2021.
DOI: 10.4121/16817425
title: Incidents Water Management Infrastructure Limburg floods July 2021

description: This dataset provides the locations with incidents to water management infrastructure described in the Fact-finding report on Limburg flood 2021.
DOI: 10.4121/14983671.v1
title: Data and scripts underlying the publication: On the use of large-scale biodegradable artificial reefs for intertidal foreshore stabilization

description: This dataset contains the data obtained and utilized for the manuscript: On the use of large-scale biodegradable artificial reefs for intertidal foreshore stabilization. The aim was to study the effect of biodegradable artificial reefs, aimed at mussel bed restoration, on i) wave attenuation, ii) soil properties and iii) soil elevation. In 2017 biodegradable artificial reefs were deployed in the tidal flats from Griend, a small island in the dutch Wadden Sea. Waves, sediment properties and soil elevation were monitored until 2019. The dataset is divided in 3 parts: wave analysys, soil properties analysis and elevation change analysis. The analysis is divided in different steps, and each step has a corresponding folder with the input data needed for the analysis.
DOI: 10.4121/14983671
title: Data and scripts underlying the publication: On the use of large-scale biodegradable artificial reefs for intertidal foreshore stabilization

description: This dataset contains the data obtained and utilized for the manuscript: On the use of large-scale biodegradable artificial reefs for intertidal foreshore stabilization. The aim was to study the effect of biodegradable artificial reefs, aimed at mussel bed restoration, on i) wave attenuation, ii) soil properties and iii) soil elevation. In 2017 biodegradable artificial reefs were deployed in the tidal flats from Griend, a small island in the dutch Wadden Sea. Waves, sediment properties and soil elevation were monitored until 2019. The dataset is divided in 3 parts: wave analysys, soil properties analysis and elevation change analysis. The analysis is divided in different steps, and each step has a corresponding folder with the input data needed for the analysis.
DOI: 10.4121/16803889.v1
title: Data and code for manuscript Using Psychological Characteristics of Situations for Social Situation Comprehension in Support Agents

description: This data-set contains the data and code used in the two studies of the manuscript Using Psychological Characteristics of Situations for Social Situation Comprehension in Support Agents. All studies were conducted through online surveys. The first study pertained the psychological characteristics and the priority levels of social situations. The second study evaluated the content of explanations that a socially aware personal assistant can give to its users when suggesting which meetings the user should attend.<br>
DOI: 10.4121/16803889.v2
title: Data and code for manuscript Using Psychological Characteristics of Situations for Social Situation Comprehension in Support Agents

description: This data-set contains the data and code used in the two studies of the manuscript Using Psychological Characteristics of Situations for Social Situation Comprehension in Support Agents. All studies were conducted through online surveys. The first study pertained the psychological characteristics and the priority levels of social situations. The second study evaluated the content of explanations that a socially aware personal assistant can give to its users when suggesting which meetings the user should attend.<br>
DOI: 10.4121/16803889
title: Data and code for manuscript Using Psychological Characteristics of Situations for Social Situation Comprehension in Support Agents

description: This data-set contains the data and code used in the two studies of the manuscript Using Psychological Characteristics of Situations for Social Situation Comprehension in Support Agents. All studies were conducted through online surveys. The first study pertained the psychological characteristics and the priority levels of social situations. The second study evaluated the content of explanations that a socially aware personal assistant can give to its users when suggesting which meetings the user should attend.<br>
DOI: 10.4121/16766929
title: Crafting dataset

description: We used a diary design and collected data among 82 dyads of colleagues (N= 164 employees) over 5 consecutive working days (N= 820). to explore examine whether (a) different job crafting dimensions have a differential impact on psychological detachment from work, (b) if specific joint effects can exacerbate or attenuate the negative impact of increasing challenging demands, and (c) whether job crafting crosses over between co-workers thereby creating indirect effects on psychological detachment. <br><br><br><br>
DOI: 10.4121/16797535.v1
title: Network of Political Ideas

description: Survey respondents (93 US liberals) were asked which social outcomes they valued and then asked about the relationships among these opinions. Did each outcome provide a reason for a different one? Would each outcome cause a different one? If each outcome came to pass, would it make them more likely to support another outcome? The dataset consists of their opinions and the links they drew between pairs of opinions.
DOI: 10.4121/16797535
title: Network of Political Ideas

description: Survey respondents (93 US liberals) were asked which social outcomes they valued and then asked about the relationships among these opinions. Did each outcome provide a reason for a different one? Would each outcome cause a different one? If each outcome came to pass, would it make them more likely to support another outcome? The dataset consists of their opinions and the links they drew between pairs of opinions.
DOI: 10.4121/16803232
title: Process Discovery Contest 2021

description: This data set contains the data set as was used for the Process Discovery Contest of 2021 (PDC 2021). The data set contains 480 training logs, 96 corresponding test logs, 96 corresponding ground truth logs, and 96 models. The logs are all stored using the IEEE XES file format (see either https://www.xes-standard.org/ or https://ieeexplore.ieee.org/document/7740858), while the models are workflow nets (a subclass of Petri nets) stored in the PNML file<br>format (see https://www.iso.org/obp/ui/#iso:std:iso-iec:15909:-2:ed-1:v1:en).
DOI: 10.4121/14478171
title: Data accompanying manuscript "Annual Satellite-Based NDVI-Derived Land Cover of Europe for 2001-2019"

description: This dataset accompanies the journal publication titled "Annual Satellite-Based NDVI-Derived Land Cover of Europe for 2001-2019". It contains the Classified Land Cover for 2001-2019 for Europe as a whole and the 10 metropolitan areas. The dataset also includes further results on the classification performance, and information about the domain definitions.<br>
DOI: 10.4121/14892519.v1
title: Data supporting the paper "HI-NESS: A family of genetically encoded DNA labels based on a bacterial nucleoid-associated protein"

description: This is the raw data supporting the figures published in the paper titled, "HI-NESS: A family of genetically encoded DNA labels based on a bacterial nucleoid-associated protein"
DOI: 10.4121/14892519
title: Data supporting the paper "HI-NESS: A family of genetically encoded DNA labels based on a bacterial nucleoid-associated protein"

description: This is the raw data supporting the figures published in the paper titled, "HI-NESS: A family of genetically encoded DNA labels based on a bacterial nucleoid-associated protein"