cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/13277246
title: Videos - Fluidisation of calcite-pellets 0.8-0.9mm and 1.4-1.7 mm in water for various flow rates

description: 52 videos calcite grains fluidised in water in an experimental setup using a Canon LEGRIA HF G25 camera. CaCO<sub>3</sub> calcite pellets (1.4-1.7mm) and (0.8-0.9mm) in a D=57mm PVC transparent cylindrical column with water at 18 °C for various linear flow rates (flow from left to right). An advanced experimental study at the pilot plant at Waternet Amsterdam.This research is part of the project “Hydraulic modelling of liquid-solid fluidisation in drinking water treatment processes” carried out by Waternet, Delft University of Technology. Financial support came from Waternet Drinking Water Production Department.<br>
DOI: 10.4121/13337057.v1
title: Videos - Up-flow filtration velocities for rapid sand filter grains 0.8-1.25 mm in water

description: Videos of up-flow filtration velocities for rapid sand filter grains 0.8-1.25 mm in water for various flow rates at 12 degrees Celsius for the research for optimising Extended terminal sub-fluidisation wash in drinking water filtration processes
DOI: 10.4121/13337057.v2
title: Videos - Up-flow filtration velocities for rapid sand filter grains 0.8-1.25 mm in water

description: Videos of up-flow filtration velocities for rapid sand filter grains 0.8-1.25 mm in water for various flow rates at 12 degrees Celsius for the research for optimising Extended terminal sub-fluidisation wash in drinking water filtration processes
DOI: 10.4121/13337057
title: Videos - Up-flow filtration velocities for rapid sand filter grains 0.8-1.25 mm in water

description: Videos of up-flow filtration velocities for rapid sand filter grains 0.8-1.25 mm in water for various flow rates at 12 degrees Celsius for the research for optimising Extended terminal sub-fluidisation wash in drinking water filtration processes
DOI: 10.4121/13042793.v1
title: Supplementary material to "A single oblate spheroid settling in unbounded ambient fluid: a benchmark for simulations in steady and unsteady wake regimes"

description: The results contained in the data files correspond to a single<br>oblate spheroid with geometrical aspect ratio 1.1 or 1.5. Different<br>Galileo numbers ranging from 100 to 220 as well as different density<br>ratios can be found.<br><br>The data presented here has been obtained with a spectral/spectral-element<br>method and is intended to be used for benchmarking purposes.<br><br># References<br>M. Moriche & M. Uhlmann, "A single oblate spheroid settling inunbounded ambient fluid: a benchmark for simulations in steady <br>and unsteady wake regimes", to be submitted to Int. J. Multiphase Flow<br><br><br># Contact<br><br>manuel.guerrero@kit.edu<br>markus.uhlmann@kit.edu<br><br>
DOI: 10.4121/13042793
title: Supplementary material to "A single oblate spheroid settling in unbounded ambient fluid: a benchmark for simulations in steady and unsteady wake regimes"

description: The results contained in the data files correspond to a single<br>oblate spheroid with geometrical aspect ratio 1.1 or 1.5. Different<br>Galileo numbers ranging from 100 to 220 as well as different density<br>ratios can be found.<br><br>The data presented here has been obtained with a spectral/spectral-element<br>method and is intended to be used for benchmarking purposes.<br><br># References<br>M. Moriche & M. Uhlmann, "A single oblate spheroid settling inunbounded ambient fluid: a benchmark for simulations in steady <br>and unsteady wake regimes", to be submitted to Int. J. Multiphase Flow<br><br><br># Contact<br><br>manuel.guerrero@kit.edu<br>markus.uhlmann@kit.edu<br><br>
DOI: 10.4121/13580273.v1
title: Data underlying the article: Past, present, future: engagement with sustainable urban development through 35 city labels in the scientific literature 1990-2019; Supplementary research data and appendices, Delft University of Technology.

description: This package of supplementary research data and appendices are made available in connection with the following research article published in the Journal of Cleaner Production:<br>Schraven, D., Joss, S., de Jong, M. (2021). Past, present, future: engagement with sustainable urban development through 35 city labels in the scientific literature 1990-2019, Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2021.125924<br>It contains 3 parts of supplementary research data:A: Selection of City Labels: this document sets out the selection procedures for 35 city labels from an original list of 148 labels.B: Article Repository: this documents shows the 11,337 articles that are retrieved and analysed in the main publication.C: Author Keyword Repository: this document contains the list of 22,820 author keywords belonging to the articles in Supplementary Research Data B and their connection to each of the 35 city labels.<br>It contains 2 parts of appendices:A: Enlarged Figure 4 A - F: this document contains the enlarged version of Figure 4 A - F in the main publication.B: Enlarged Figure 5 A - C: this document contains the enlarged version of Figure 5 A - C in the main publication.
DOI: 10.4121/13580273
title: Data underlying the article: Past, present, future: engagement with sustainable urban development through 35 city labels in the scientific literature 1990-2019

description: This package of supplementary research data and appendices are made available in connection with the following research article published in the Journal of Cleaner Production:<br>Schraven, D., Joss, S., de Jong, M. (2021). Past, present, future: engagement with sustainable urban development through 35 city labels in the scientific literature 1990-2019, Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2021.125924<br>It contains 3 parts of supplementary research data:A: Selection of City Labels: this document sets out the selection procedures for 35 city labels from an original list of 148 labels.B: Article Repository: this documents shows the 11,337 articles that are retrieved and analysed in the main publication.C: Author Keyword Repository: this document contains the list of 22,820 author keywords belonging to the articles in Supplementary Research Data B and their connection to each of the 35 city labels.<br>It contains 2 parts of appendices:A: Enlarged Figure 4 A - F: this document contains the enlarged version of Figure 4 A - F in the main publication.B: Enlarged Figure 5 A - C: this document contains the enlarged version of Figure 5 A - C in the main publication.
DOI: 10.4121/13626188
title: Point clouds of Constructie bridge on Westlandseweg, Delft, The Netherlands

description: Point clouds of Constructie bridge on Westlandseweg in Delft was acquired for the project “Laser Scanning for Automatic Bridge Assessment” or called “BridgeScan” funded through H2020 Marie Curie IF and for a big assignment of a course “3D Surveying of Civil and Offshore Infrastructure” of a Master program at TU Delft Dept. Geoscience and Remote sensing”. The Constructie bridge is a concrete bridge with mix-vehicle and tram bridge with one span over a channel. The data points of the bridge were acquired using Leica ScanStation P40, from 9 stations (5 below, 2 on a top and 1 each side) with the sampling step 6.3mm at the measure range of 10.0m. The point clouds from different scanning stations were registered using the artificial targets through Leica Cylone software. The point cloud of the bridge was used to reconstruct a 3D model and identify surface damage. The data set was down-sampled with the sampling step of 5mm.
DOI: 10.4121/13626368.v1
title: Point clouds of Tram bridge in Schipluiden, The Netherlands

description: Point clouds of Tram bridge on Schipluiden, Zuid-Holland was acquired for the project “Laser Scanning for Automatic Bridge Assessment” or called “BridgeScan” funded through H2020 Marie Curie IF and for a big assignment of a course “3D Surveying of Civil and Offshore Infrastructure” of a Master program at TU Delft Dept. Geoscience and Remote sensing”. The Tram bridge is a truss steel bridge, which was for a tram to transport vegetables. Now it is used for light traffic (mainly pedestrian, bike and motorbike). The data points of the bridge were acquired using Leica ScanStation P40, from 14 stations with the sampling step 6.3mm at the measure range of 10.0m. The point clouds from different scanning stations were registered using the artificial targets through Leica Cylone software. The point cloud of the bridge was used to reconstruct a 3D model and identify surface damage. The data set was cleaned irrelevant points and down-sampled with the sampling step of 5mm.
DOI: 10.4121/13626368
title: Point clouds of Tram bridge in Schipluiden, The Netherlands

description: Point clouds of Tram bridge on Schipluiden, Zuid-Holland was acquired for the project “Laser Scanning for Automatic Bridge Assessment” or called “BridgeScan” funded through H2020 Marie Curie IF and for a big assignment of a course “3D Surveying of Civil and Offshore Infrastructure” of a Master program at TU Delft Dept. Geoscience and Remote sensing”. The Tram bridge is a truss steel bridge, which was for a tram to transport vegetables. Now it is used for light traffic (mainly pedestrian, bike and motorbike). The data points of the bridge were acquired using Leica ScanStation P40, from 14 stations with the sampling step 6.3mm at the measure range of 10.0m. The point clouds from different scanning stations were registered using the artificial targets through Leica Cylone software. The point cloud of the bridge was used to reconstruct a 3D model and identify surface damage. The data set was cleaned irrelevant points and down-sampled with the sampling step of 5mm.
DOI: 10.4121/13642952.v1
title: Data to produce the results of the publication: “Neurophysiological Validation of Simultaneous Intrinsic and Reflexive Joint Impedance Estimates”

description: The work presents the neurophysiological validation of simultaneous intrinsic and reflexive joint impedance estimates. The simultaneous intrinsic and reflexive joint impedance parameters are estimated using an online parallel-cascade (PC) algorithm. The neurophysiological validation is performed by investigating the linear association of the PC algorithm estimations with EMG. The work was performed and presented within a clinical/rehabilitation context to support the use of the PC technology for people with joint hyper-resistance. In short, the main goal of this paper is to perform a group-level neurophysiological validation of the PC system identification technique to support its clinical application.
DOI: 10.4121/13642952
title: Data to produce the results of the publication: “Neurophysiological Validation of Simultaneous Intrinsic and Reflexive Joint Impedance Estimates”

description: The work presents the neurophysiological validation of simultaneous intrinsic and reflexive joint impedance estimates. The simultaneous intrinsic and reflexive joint impedance parameters are estimated using an online parallel-cascade (PC) algorithm. The neurophysiological validation is performed by investigating the linear association of the PC algorithm estimations with EMG. The work was performed and presented within a clinical/rehabilitation context to support the use of the PC technology for people with joint hyper-resistance. In short, the main goal of this paper is to perform a group-level neurophysiological validation of the PC system identification technique to support its clinical application.
DOI: 10.4121/13536614.v1
title: Supporting dataset for the bachelor thesis: Simulating the Spread of COVID-19 in the Netherlands

description: These files are videos generated by a stochastic simulation that was created by Nikki Steenbakkers under the supervision of Marko Boon and Bert Zwart (all affiliated with Eindhoven University of Technology) for her bachelor final project "Simulating the Spread of COVID-19 in the Netherlands". The report can be found in the TU/e repository of bachelor project reports:<br>https://research.tue.nl/en/studentTheses/simulating-the-spread-of-covid-19-in-the-netherlands<br>The report contains more information about the project and the simulation. It explicitly refers to these files.
DOI: 10.4121/13536614
title: Supporting dataset for the bachelor thesis: Simulating the Spread of COVID-19 in the Netherlands

description: These files are videos generated by a stochastic simulation that was created by Nikki Steenbakkers under the supervision of Marko Boon and Bert Zwart (all affiliated with Eindhoven University of Technology) for her bachelor final project "Simulating the Spread of COVID-19 in the Netherlands". The report can be found in the TU/e repository of bachelor project reports:<br>https://research.tue.nl/en/studentTheses/simulating-the-spread-of-covid-19-in-the-netherlands<br>The report contains more information about the project and the simulation. It explicitly refers to these files.
DOI: 10.4121/13625951.v1
title: Solidworks model and system identification data of the Dynamic Robotic Actuator (Dyrac)

description: CAD model of the Dynamic Robotic Actuator (Dyrac). The Dyrac actuator was developed in the frame to reproduce human hammering motions in a teleoperation scenario. The design requirements were were a stiffness changing time of 50 ms, a peak output velocity of 20 rad/s, and variable damping.Performance measurements on the prototype showed an effective stiffness changing time of 50-120 ms for small to large stiffness steps, nominal output velocity of 16 rad/s, and a variable damper with a damping torque of 0-3 Nm.<br> Its effective stiffness range is 0.2-313 Nm/rad.<br>
DOI: 10.4121/13625951
title: Solidworks model and system identification data of the Dynamic Robotic Actuator (Dyrac)

description: CAD model of the Dynamic Robotic Actuator (Dyrac). The Dyrac actuator was developed in the frame to reproduce human hammering motions in a teleoperation scenario. The design requirements were were a stiffness changing time of 50 ms, a peak output velocity of 20 rad/s, and variable damping.Performance measurements on the prototype showed an effective stiffness changing time of 50-120 ms for small to large stiffness steps, nominal output velocity of 16 rad/s, and a variable damper with a damping torque of 0-3 Nm.<br> Its effective stiffness range is 0.2-313 Nm/rad.<br>
DOI: 10.4121/13625411
title: Human performing precision and dynamic tasks through a 1-DOF teleoperator with self-adapting variable impedance actuator

description: The data was taken on a study involving 24 participants performing precision and dynamic tasks on a bilateral 1-dof haptic setup with a variable impedance actuator tool device simulation.Six conditions were compared combining task type with tool device impedance setting (precision-stiff, precsion-soft, precision-adaptive, dynamic-stiff, dynamic-soft, dynamic-adaptive).In the adaptive impedance setting the impedance was changed based on the user velocity.The participants were assigned to one of six group, each group performing the trials in the condition in a different order following the Latin square method.<br>
DOI: 10.4121/13625411.v1
title: Human performing precision and dynamic tasks through a 1-DOF teleoperator with self-adapting variable impedance actuator

description: The data was taken on a study involving 24 participants performing precision and dynamic tasks on a bilateral 1-dof haptic setup with a variable impedance actuator tool device simulation.Six conditions were compared combining task type with tool device impedance setting (precision-stiff, precsion-soft, precision-adaptive, dynamic-stiff, dynamic-soft, dynamic-adaptive).In the adaptive impedance setting the impedance was changed based on the user velocity.The participants were assigned to one of six group, each group performing the trials in the condition in a different order following the Latin square method.<br>
DOI: 10.4121/12958079
title: Supporting data for Projecting Global Mean Sea-Level Change Using CMIP6 Models

description: This datasat accompanies the manuscript Projecting Global Mean Sea-Level Change Using CMIP6 Models by Hermans et al. (2021). <br>The dataset contains the effective climate sensitivity (EffCS), the transient climate response (TCR) and the simulations of global mean thermal expansion (GTE; drift-corrected) and global mean surface air temperature (GSAT) for the CMIP6 models considered, for three different emissions scenarios: SSP126, SSP245 and SSP585 (1850-2100 referenced to 1986-2005). It also contains the Monte Carlo global mean sea level (GMSL) projections derived from these simulations as explained in the manuscript (2007-2100).
DOI: 10.4121/13603775.v1
title: Supplementary data to the paper: 3D Printing of a Self-Healing Thermo-plastic Polyurethane Through FDM: from Polymer Slab to Mechanical Assessment

description: This dataset contains the data corresponding to the following publication:Linda Ritzen, Vincenzo Montano and Santiago J. Garcia. 3D Printing of aSelf-Healing Thermo-plastic Polyurethane Through FDM: from Polymer Slab to Mechanical Assessment. Polymers 2021, 13, 305.https://doi.org/10.3390/polym13020305<br>Abstract:The use of self-healing (SH) polymers to make 3D-printed polymeric parts offers the potential to increase the quality of 3D-printed parts and to increase their durability and damage tolerance due to their (on-demand) dynamic nature. Nevertheless, 3D-printing of such dynamic polymers is not a straightforward process due to their polymer architecture and rheological complexity and the limited quantities produced at lab-scale. This limits the exploration of the full potential of self-healing polymers. In this paper, we present the complete process for fused deposition modelling of a room temperature self-healing polyurethane. Starting from the synthesis and polymer slab manufacturing, we processed the polymer into a continuous filament and 3D printed parts. For the characterization of the 3D printed parts, we used a compression cut test, which proved useful when limited amount of material is available. The test was able to quasi-quantitatively assess both bulk and 3D printed samples and their self-healing behavior. The mechanical and healing behavior of the 3D printed self-healing polyurethane was highly similar to that of the bulk SH polymer. This indicates that the self-healing property of the polymer was retained even after multiple processing steps and printing. Compared to a commercial 3D-printing thermoplastic polyurethane, the self-healing polymer displayed a smaller mechanical dependency on the printing conditions with the added value of healing cuts at room temperature.<br>The dataset contains the following measurements:- Differential Scanning Calorimetry (DSC) of SH-TPU.- Filament thickness measurements of the filaments used for 3D printing.- Fourier Transform Infrared Spectroscopy (FTIR) of SH-TPU in the pristine, filament and 3D printed condition.- Force-displacement curves of the mechanical testing of SH-TPU and commercial TPU Ninjaflex.- Rheology results (shear rate analysis and temperature sweep) of SH-TPU and commercial TPU Ninjaflex.- Thermogravimetric analysis (TGA) of SH-TPU in pristine and filament condition.<br>The experimental set-up used to obtain these data can be found in the article and has also been included in the .txt files in the folders of the measurements. <br>
DOI: 10.4121/13603775
title: Supplementary data to the paper: 3D Printing of a Self-Healing Thermo-plastic Polyurethane Through FDM: from Polymer Slab to Mechanical Assessment

description: This dataset contains the data corresponding to the following publication:Linda Ritzen, Vincenzo Montano and Santiago J. Garcia. 3D Printing of aSelf-Healing Thermo-plastic Polyurethane Through FDM: from Polymer Slab to Mechanical Assessment. Polymers 2021, 13, 305.https://doi.org/10.3390/polym13020305<br>Abstract:The use of self-healing (SH) polymers to make 3D-printed polymeric parts offers the potential to increase the quality of 3D-printed parts and to increase their durability and damage tolerance due to their (on-demand) dynamic nature. Nevertheless, 3D-printing of such dynamic polymers is not a straightforward process due to their polymer architecture and rheological complexity and the limited quantities produced at lab-scale. This limits the exploration of the full potential of self-healing polymers. In this paper, we present the complete process for fused deposition modelling of a room temperature self-healing polyurethane. Starting from the synthesis and polymer slab manufacturing, we processed the polymer into a continuous filament and 3D printed parts. For the characterization of the 3D printed parts, we used a compression cut test, which proved useful when limited amount of material is available. The test was able to quasi-quantitatively assess both bulk and 3D printed samples and their self-healing behavior. The mechanical and healing behavior of the 3D printed self-healing polyurethane was highly similar to that of the bulk SH polymer. This indicates that the self-healing property of the polymer was retained even after multiple processing steps and printing. Compared to a commercial 3D-printing thermoplastic polyurethane, the self-healing polymer displayed a smaller mechanical dependency on the printing conditions with the added value of healing cuts at room temperature.<br>The dataset contains the following measurements:- Differential Scanning Calorimetry (DSC) of SH-TPU.- Filament thickness measurements of the filaments used for 3D printing.- Fourier Transform Infrared Spectroscopy (FTIR) of SH-TPU in the pristine, filament and 3D printed condition.- Force-displacement curves of the mechanical testing of SH-TPU and commercial TPU Ninjaflex.- Rheology results (shear rate analysis and temperature sweep) of SH-TPU and commercial TPU Ninjaflex.- Thermogravimetric analysis (TGA) of SH-TPU in pristine and filament condition.<br>The experimental set-up used to obtain these data can be found in the article and has also been included in the .txt files in the folders of the measurements. <br>
DOI: 10.4121/13236938
title: Supplementary data for the paper: Seasonal and Spatial Variability in Patchiness of Microphytobenthos on Intertidal Flats From Sentinel-2 Satellite Imagery

description: The dataset contains Sentinel-2 imagery of the Westerschelde estuary, the Netherlands, from the period 2016-2019. In addition, R scripts are included to perform variogram analyses on the NDVI (used as indicator for MPB biomass) retrieved from the Sentinel imagery on intertidal flats. Variogram values used to produce the figures in Daggers et al. (2020) are included as well.
DOI: 10.4121/13221848.v1
title: Supplementary data for the paper: Spatial variability in macrofaunal diet composition and grazing pressure on microphytobenthos in intertidal areas

description: The dataset contains the scripts used to produce the figures in Daggers et al. (2020), to calculate macrofaunal grazing pressure on several food sources and to calculate micrphytobenthic primary production in intertidal sediments. The field data used in these calculations, which has been collected on intertidal flats in the Westerschelde and Oosterschelde, The Netherlands, in 2015 is included as well.
DOI: 10.4121/13221848
title: Supplementary data for the paper: Spatial variability in macrofaunal diet composition and grazing pressure on microphytobenthos in intertidal areas

description: The dataset contains the scripts used to produce the figures in Daggers et al. (2020), to calculate macrofaunal grazing pressure on several food sources and to calculate micrphytobenthic primary production in intertidal sediments. The field data used in these calculations, which has been collected on intertidal flats in the Westerschelde and Oosterschelde, The Netherlands, in 2015 is included as well.