cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/14152535.v1
title: Matlab script supplementary to the MSc thesis: Predicting Thermal History, Microstructure and Hardness of Wire Arc Additive Manufactured Parts

description: This matlab script is part of a master thesis and was used to predict the microstructure and hardness of s690 WAAM parts based on the thermal history. Please refer to the master thesis (in the reference link) for explanation on the script and results that were obtained with it.
DOI: 10.4121/14152535
title: Matlab script supplementary to the MSc thesis: Predicting Thermal History, Microstructure and Hardness of Wire Arc Additive Manufactured Parts

description: This matlab script is part of a master thesis and was used to predict the microstructure and hardness of s690 WAAM parts based on the thermal history. Please refer to the master thesis (in the reference link) for explanation on the script and results that were obtained with it.
DOI: 10.4121/14229863.v1
title: Dataset underlying the research of: new insights into the fluidisation characteristics of granular activated carbon for drinking water treatment applications

description: Granular activated carbon (GAC) filtration is a very important treatment unit operation in drinking water production processes. GAC filtration is widely used for its filtration and adsorption capabilities as a barrier for undesired macro and micro-pollutants. GAC filtration consists of two ascending procedures: filtration procedure, capturing the impurities from the water, in conjunction with a backwash procedure, flushing these impurities out of the system. The prediction of the bed expansion of GAC is complex since the particles are non-spherical, porous and polydisperse. It is complicated to find GAC particle properties such as the wet density, wet mass and the minimum fluidisation porosity. To be able to predict the porosity these values must be known.This data set contains numerical data of fluidisation experiments for various flow rates, water temperatures for nine different GAC types. In addition, a large data-set is shared with drying log (evaporation) values. Also, photographic and video material as well as morphological measurements (Camsizer, ImageJ, sieve and microscope) are provided.<br>
DOI: 10.4121/14229863
title: Dataset underlying the research of: new insights into the fluidisation characteristics of granular activated carbon for drinking water treatment applications

description: Granular activated carbon (GAC) filtration is a very important treatment unit operation in drinking water production processes. GAC filtration is widely used for its filtration and adsorption capabilities as a barrier for undesired macro and micro-pollutants. GAC filtration consists of two ascending procedures: filtration procedure, capturing the impurities from the water, in conjunction with a backwash procedure, flushing these impurities out of the system. The prediction of the bed expansion of GAC is complex since the particles are non-spherical, porous and polydisperse. It is complicated to find GAC particle properties such as the wet density, wet mass and the minimum fluidisation porosity. To be able to predict the porosity these values must be known.This data set contains numerical data of fluidisation experiments for various flow rates, water temperatures for nine different GAC types. In addition, a large data-set is shared with drying log (evaporation) values. Also, photographic and video material as well as morphological measurements (Camsizer, ImageJ, sieve and microscope) are provided.<br>
DOI: 10.4121/14208530.v1
title: Data underlying the publication: Lactate metabolism and microbiome composition are affected by nitrogen gas supply in continuous lactate-based chain elongation

description: Chain elongation reactor microbiomes produce valuable medium-chain carboxylates (MCC) from non-sterile residual substrates where lactate is a relevant intermediate. Gas supply has been shown to impact chain elongation performance. In the present study, the effect of nitrogen gas (N<sub>2</sub>) supply on lactate metabolism, conversion rates, biomass growth and microbiome composition was evaluated in a lactate-fed upflow anaerobic reactor with continuous or intermittent N<sub>2</sub> gas supply.
DOI: 10.4121/14208530.v2
title: Data underlying the publication: Lactate metabolism and microbiome composition are affected by nitrogen gas supply in continuous lactate-based chain elongation

description: Chain elongation reactor microbiomes produce valuable medium-chain carboxylates (MCC) from non-sterile residual substrates where lactate is a relevant intermediate. Gas supply has been shown to impact chain elongation performance. In the present study, the effect of nitrogen gas (N<sub>2</sub>) supply on lactate metabolism, conversion rates, biomass growth and microbiome composition was evaluated in a lactate-fed upflow anaerobic reactor with continuous or intermittent N<sub>2</sub> gas supply.
DOI: 10.4121/14208530
title: Data underlying the publication: Lactate metabolism and microbiome composition are affected by nitrogen gas supply in continuous lactate-based chain elongation

description: Chain elongation reactor microbiomes produce valuable medium-chain carboxylates (MCC) from non-sterile residual substrates where lactate is a relevant intermediate. Gas supply has been shown to impact chain elongation performance. In the present study, the effect of nitrogen gas (N<sub>2</sub>) supply on lactate metabolism, conversion rates, biomass growth and microbiome composition was evaluated in a lactate-fed upflow anaerobic reactor with continuous or intermittent N<sub>2</sub> gas supply.
DOI: 10.4121/14150348
title: Weather data for Netatmo personal weather stations around the Hague (2020)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
DOI: 10.4121/14150342.v1
title: Weather data for Netatmo personal weather stations around the Hague (2019)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.<br>
DOI: 10.4121/14150342
title: Weather data for Netatmo personal weather stations around the Hague (2019)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.<br>
DOI: 10.4121/14150333.v1
title: Weather data for Netatmo personal weather stations around the Hague (2018)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
DOI: 10.4121/14150333
title: Weather data for Netatmo personal weather stations around the Hague (2018)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
DOI: 10.4121/14150330.v1
title: Weather data for Netatmo personal weather stations around the Hague (2017)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
DOI: 10.4121/14150330
title: Weather data for Netatmo personal weather stations around the Hague (2017)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
DOI: 10.4121/14150321.v1
title: Weather data for Netatmo personal weather stations around the Hague (2016)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
DOI: 10.4121/14150321
title: Weather data for Netatmo personal weather stations around the Hague (2016)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
DOI: 10.4121/14150318.v1
title: Weather data for Netatmo personal weather stations around the Hague (2015)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
DOI: 10.4121/14150318
title: Weather data for Netatmo personal weather stations around the Hague (2015)

description: Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (MAC address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
DOI: 10.4121/14215619.v1
title: Bathymetry data underlying the publication: Field survey of flank collapse and run-up heights due to the 2018 Anak Krakatau Tsunami

description: Bathymetry around the Krakatau islands, in Indonesia, taken during field surveys following the eruption of Anak Krakatau in 2018. The dataset contains simple bathymetry profiles (LAT, LON, depth) around the islands, taken using a standard tri-beam echosounder. A map and more details about the path taken by the two ships used during the survey can be found at the paper below:<br>Esteban, M., Takabatake, T., Achiari, H., Mikami, T., Nakamura, R., Gelfi, M., Panalaran, S., Nishida, Y., Inagaki, N., Chadwick, C., Oizumi, K. and Shibayama, T. (2021) “Field survey of flank collapse and run-up heights due to the 2018 Anak Krakatau Tsunami”, Journal of Coastal and Hydraulic Structures, 1 (1). <br>
DOI: 10.4121/14215619
title: Bathymetry data underlying the publication: Field survey of flank collapse and run-up heights due to the 2018 Anak Krakatau Tsunami

description: Bathymetry around the Krakatau islands, in Indonesia, taken during field surveys following the eruption of Anak Krakatau in 2018. The dataset contains simple bathymetry profiles (LAT, LON, depth) around the islands, taken using a standard tri-beam echosounder. A map and more details about the path taken by the two ships used during the survey can be found at the paper below:<br>Esteban, M., Takabatake, T., Achiari, H., Mikami, T., Nakamura, R., Gelfi, M., Panalaran, S., Nishida, Y., Inagaki, N., Chadwick, C., Oizumi, K. and Shibayama, T. (2021) “Field survey of flank collapse and run-up heights due to the 2018 Anak Krakatau Tsunami”, Journal of Coastal and Hydraulic Structures, 1 (1). <br>
DOI: 10.4121/14170442.v1
title: ABIBA Airfoil and Slat Measurement Data

description: Dataset for the ABIBA experiments. The data was collected at the Delft University of Technology's Low Turbulence Tunnel in summer of 2020.<br> <br> Data includes: · Report summarizing results · Geometry and pressure tap locations for the base airfoil (DU-00 W2-401) · Geometry and pressure tap locations for custom slat profile · Final experimental polars · Cp data for slat and profile for each testing configuration Pictures of measurement setup Measurement is conducted at a Re: 1.5 x 10<sup>6</sup> and 2.0 x 10<sup>6</sup> The base airfoil is measured in three configurations; clean, tripped, and with vortex generators. There are 9 different slat configurations as discussed in the included report. Each are measured in clean and tripped conditions. <br>
DOI: 10.4121/14170442
title: ABIBA Airfoil and Slat Measurement Data

description: Dataset for the ABIBA experiments. The data was collected at the Delft University of Technology's Low Turbulence Tunnel in summer of 2020.<br> <br> Data includes: · Report summarizing results · Geometry and pressure tap locations for the base airfoil (DU-00 W2-401) · Geometry and pressure tap locations for custom slat profile · Final experimental polars · Cp data for slat and profile for each testing configuration Pictures of measurement setup Measurement is conducted at a Re: 1.5 x 10<sup>6</sup> and 2.0 x 10<sup>6</sup> The base airfoil is measured in three configurations; clean, tripped, and with vortex generators. There are 9 different slat configurations as discussed in the included report. Each are measured in clean and tripped conditions. <br>
DOI: 10.4121/13414949.v1
title: Data about Characterization of A Novel Acetyl Xylan Esterase and Its Potential Application on Wheat Straw Utilization

description: Acetylxylan esterases activity was determined using ρ-nitrophenol esters as the substrate.Single factor analysis was used to study degradation of the WSB by changing the pH, temperature, enzyme dosage, and enzymatic hydrolysis time.
DOI: 10.4121/13414949.v2
title: Data about Characterization of A Novel Acetyl Xylan Esterase and Its Potential Application on Wheat Straw Utilization

description: Acetylxylan esterases activity was determined using ρ-nitrophenol esters as the substrate. Single factor analysis was used to study degradation of the WSB by changing the pH, temperature, enzyme dosage, and enzymatic hydrolysis time.
DOI: 10.4121/13414949
title: Data about Characterization of A Novel Acetyl Xylan Esterase and Its Potential Application on Wheat Straw Utilization

description: Acetylxylan esterases activity was determined using ρ-nitrophenol esters as the substrate. Single factor analysis was used to study degradation of the WSB by changing the pH, temperature, enzyme dosage, and enzymatic hydrolysis time.
DOI: 10.4121/14204336.v1
title: Dataset underlying the research of: a submerged cylindrical object in a liquid-solid fluidised bed - measuring local voidage and profile using a hydraulic weighing technique

description: A new soft-sensor was developed to measure a hydraulics pressure gradient in a liquid-solid fluidised bed (LSF). LSF is frequently encountered in drinking water treatment processes, often to obtain a large liquid-solid interfacial surface area. A large surface area is crucial for optimal seeded crystallisation in full-scale softening reactors. Due to crystallisation, particles grow and migrate to a lower zone in the reactor which leads to a stratified bed. Larger particles adversely affect the surface area. To maintain optimal process conditions in the fluidised beds, information is needed about the distribution of particle size, local voidage and available surface area, over the reactor height. This data set contains 54 individual measurements of calciet pellets (0.8-0.9mm), (0.9-1.0mm) and a mixture (0.5-0.63mm+1.25-1.4mm) and 3 mm glass beads for various water flow rates.
DOI: 10.4121/14204336
title: Dataset underlying the research of: a submerged cylindrical object in a liquid-solid fluidised bed - measuring local voidage and profile using a hydraulic weighing technique

description: A new soft-sensor was developed to measure a hydraulics pressure gradient in a liquid-solid fluidised bed (LSF). LSF is frequently encountered in drinking water treatment processes, often to obtain a large liquid-solid interfacial surface area. A large surface area is crucial for optimal seeded crystallisation in full-scale softening reactors. Due to crystallisation, particles grow and migrate to a lower zone in the reactor which leads to a stratified bed. Larger particles adversely affect the surface area. To maintain optimal process conditions in the fluidised beds, information is needed about the distribution of particle size, local voidage and available surface area, over the reactor height. This data set contains 54 individual measurements of calciet pellets (0.8-0.9mm), (0.9-1.0mm) and a mixture (0.5-0.63mm+1.25-1.4mm) and 3 mm glass beads for various water flow rates.
DOI: 10.4121/13663442
title: Data accompanying the publication "A four-qubit germanium quantum processor"

description: Data accompanying the publication "A four-qubit germanium quantum processor".<br>
DOI: 10.4121/13663442.v1
title: Data accompanying the publication "A four-qubit germanium quantum processor"

description: Data accompanying the publication "A four-qubit germanium quantum processor".<br>
DOI: 10.4121/13370123.v1
title: Data underlying the paper: North-Sea infragravity wave observations

description: 10 minute observations of short and long waves on the North Sea at stations A12, Q1 and EUR. A12 and Q1 from 2009-2018 and EUR from 2010-2019. Data have been split in two directories: short_waves for the spectral sea-swell conditions and long_waves for the long wave surface elevation time series. Data have been collected by Rijkswaterstaat and used in the manuscript by Reniers et al., 2020, North-Sea Infragravity wave observations, JMSE, in prep.<br>
DOI: 10.4121/13370123
title: Data underlying the paper: North-Sea infragravity wave observations

description: 10 minute observations of short and long waves on the North Sea at stations A12, Q1 and EUR. A12 and Q1 from 2009-2018 and EUR from 2010-2019. Data have been split in two directories: short_waves for the spectral sea-swell conditions and long_waves for the long wave surface elevation time series. Data have been collected by Rijkswaterstaat and used in the manuscript by Reniers et al., 2020, North-Sea Infragravity wave observations, JMSE, in prep.<br>
DOI: 10.4121/13804304.v1
title: Calendar ageing test results on commercial 18650 Li ion cell @ 25°C and 45°C

description: Calendar ageing of Li ion 18650 commercial cell (Ni rich positive electrode and Si/Gr based negative electrode).Each test condition was applied on two cells.<br>The cells were aged at different SOC levels and different environmental temperatures.The ageing test is regularly interrupted to run a reference test.More details of the ageing tests can be found in the Everlasting deliverablehttps://everlasting-project.eu/wp-content/uploads/2020/03/EVERLASTING_D2.3_final_20200228.pdf
DOI: 10.4121/13804304
title: Calendar ageing test results on commercial 18650 Li ion cell @ 25°C and 45°C

description: Calendar ageing of Li ion 18650 commercial cell (Ni rich positive electrode and Si/Gr based negative electrode).Each test condition was applied on two cells.<br>The cells were aged at different SOC levels and different environmental temperatures.The ageing test is regularly interrupted to run a reference test.More details of the ageing tests can be found in the Everlasting deliverablehttps://everlasting-project.eu/wp-content/uploads/2020/03/EVERLASTING_D2.3_final_20200228.pdf
DOI: 10.4121/13739296
title: Lifecycle ageing tests on commercial 18650 Li ion cell @ 25°C and 45°C

description: Cycling ageing of Li ion 18650 commercial cell (Ni rich positive electrode and Si/Gr based negative electrode).Each test condition was applied on two cells.<br>The cells were aged at different C-rates and different environmental temperatures.The cells were cycled within a 10-90%SOC window. These levels are defined from fresh cells and fixed (i.e. not updated with ageing).The cycling is regularly interrupted to run a reference test.More details of the ageing tests can be found in the Everlasting deliverable https://everlasting-project.eu/wp-content/uploads/2020/03/EVERLASTING_D2.3_final_20200228.pdf
DOI: 10.4121/13562270.v1
title: Meteorological forcing, and corresponding hydrological model input and output used in the paper: The impact of hydrological model structure on the simulation of extreme runoff events.

description: The data sets used in Van Kempen et al., 2021 are included in this repository. These files consist of the original meteorological forcing, hydrological model input and hydrological model output.<br>The readme file provides a description of the set-up of these data sets.
DOI: 10.4121/13562270
title: Meteorological forcing, and corresponding hydrological model input and output used in the paper: The impact of hydrological model structure on the simulation of extreme runoff events.

description: The datasets used in Van Kempen et al., 2021 are included in this repository. These files consist of the original meteorological forcing, hydrological model input and hydrological model output.<br>The README provides a description of the set-up of these datasets.
DOI: 10.4121/13469064.v1
title: Data underlying the chapter High Mobility Stemless InSb Nanowires in PhD thesis: Advances in semiconducting-superconducting nanowires

description: The dataset here contains the measurements reported in the chapter High Mobility Stemless InSb Nanowires in PhD thesis Advances in semiconducting-superconducting nanowires. <br>More information can be found in the notebook.