cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/13469064
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.
DOI: 10.4121/13953545.v1
title: Data underlying the publication: On the Gating Mechanism of Slippery Liquid Infused Porous Membranes

description: The data corresponds to the published paper (on the gating mechanism of slippery liquid-infused porous membranes) which is the second chapter of my PhD thesis. The data contains following:1- All the gas-liquid porometry results of liquid-infused membranes made with different oils.2- Analysis of the aforementioned results and liquid film thickness calculation using annular two phase flow models.3- Results showing the re-infusion time and washburn analysis4- Water contact angle measurements results (static and advancing-receding CA)5- Pore size distribution results of the membrane6- An example of a Matlab file used for obtaining tikz files in order to plot the final graphs in Latex.
DOI: 10.4121/13953545
title: Data underlying the publication: On the Gating Mechanism of Slippery Liquid Infused Porous Membranes

description: The data corresponds to the published paper (on the gating mechanism of slippery liquid-infused porous membranes) which is the second chapter of my PhD thesis. The data contains following:1- All the gas-liquid porometry results of liquid-infused membranes made with different oils.2- Analysis of the aforementioned results and liquid film thickness calculation using annular two phase flow models.3- Results showing the re-infusion time and washburn analysis4- Water contact angle measurements results (static and advancing-receding CA)5- Pore size distribution results of the membrane6- An example of a Matlab file used for obtaining tikz files in order to plot the final graphs in Latex.
DOI: 10.4121/13148441.v1
title: Data underlying the publication: Multi-material adhesive joints with thick bond-lines: crack onset and crack deflection

description: Structural bonding of composite materials is being used in shipbuilding and civil industries. Due to manufacturing and in-service constraints, the bonded regions are characterized by adhesive layers with a thickness of up to 10 mm. With such thicknesses, a weakness to be recognized, from both scientific and applied points of view, is the stress gradient at bi-material edges and corners, exacerbated by differences in materials properties. This study aims to investigate the fracture onset and crack deflection in adhesive joints with thick bond-lines (≈ 10 mm) under global mode I loading. More specifically, the role of adherend-adhesive modulus-mismatch and the role of pre-crack length, Δ𝑎, are scrutinized. The parameters controlling the crack path directional stability are also discussed. Single-material (i.e. steel-steel and GFRP-GFRP) and bi-material (i.e. steel-GFRP) double-cantilever beam joints bonded with a structural epoxy adhesive are tested. The tests are aided by a 3D image acquisition system. Moreover, the different joints are modelled analytically, considering a beam on elastic-plastic foundation, to indicate and include characteristic length scales of the problem (e.g. adhesive thickness, yield plastic zone, elastic zone). To link the experimental findings to existing theoretical models, the behaviour of the different joints is also assessed numerically. An empirical relation, in terms of geometrical and material properties of the joints, that defines the transition between non-cohesive and cohesive fracture onset is found - for a given material mismatch (Δ𝑎crit./ℎadher)4 ∼ (𝑡a/ℎadher). In general, for Δ𝑎 &lt; Δ𝑎crit.: the stress singularity near the bi-material corner rules over the stress singularity at the pre-crack tip. The bi-material corner with the highest modulus-mismatch dictates the region of fracture initiation; for Δ𝑎 ⩾ Δ𝑎crit.: the stress singularity at the pre-crack tip is dominant, resulting in cohesive fracture onset. However, the cracking direction rapidly deflects out from the adhesive layer centre-line. Positive 𝑇-stress along the crack tip is found considering 10 mm thick bond-line, being one of the factors for unstable crack path.
DOI: 10.4121/13148441
title: Data underlying the publication: Multi-material adhesive joints with thick bond-lines: crack onset and crack deflection

description: Structural bonding of composite materials is being used in shipbuilding and civil industries. Due to manufacturing and in-service constraints, the bonded regions are characterized by adhesive layers with a thickness of up to 10 mm. With such thicknesses, a weakness to be recognized, from both scientific and applied points of view, is the stress gradient at bi-material edges and corners, exacerbated by differences in materials properties. This study aims to investigate the fracture onset and crack deflection in adhesive joints with thick bond-lines (≈ 10 mm) under global mode I loading. More specifically, the role of adherend-adhesive modulus-mismatch and the role of pre-crack length, Δ𝑎, are scrutinized. The parameters controlling the crack path directional stability are also discussed. Single-material (i.e. steel-steel and GFRP-GFRP) and bi-material (i.e. steel-GFRP) double-cantilever beam joints bonded with a structural epoxy adhesive are tested. The tests are aided by a 3D image acquisition system. Moreover, the different joints are modelled analytically, considering a beam on elastic-plastic foundation, to indicate and include characteristic length scales of the problem (e.g. adhesive thickness, yield plastic zone, elastic zone). To link the experimental findings to existing theoretical models, the behaviour of the different joints is also assessed numerically. An empirical relation, in terms of geometrical and material properties of the joints, that defines the transition between non-cohesive and cohesive fracture onset is found - for a given material mismatch (Δ𝑎crit./ℎadher)4 ∼ (𝑡a/ℎadher). In general, for Δ𝑎 &lt; Δ𝑎crit.: the stress singularity near the bi-material corner rules over the stress singularity at the pre-crack tip. The bi-material corner with the highest modulus-mismatch dictates the region of fracture initiation; for Δ𝑎 ⩾ Δ𝑎crit.: the stress singularity at the pre-crack tip is dominant, resulting in cohesive fracture onset. However, the cracking direction rapidly deflects out from the adhesive layer centre-line. Positive 𝑇-stress along the crack tip is found considering 10 mm thick bond-line, being one of the factors for unstable crack path.
DOI: 10.4121/14130539.v1
title: Data for the article entitled: Charge Regulation at a Nanoporous Two-Dimensional Interface

description: The folder contains all matlab files, origin files, excel files, figures related to our publication named "Charge Regulation at a Nanoporous Two-Dimensional Interface" published in <i>ACS Omega</i>(2021, 6, 4, 2487–2493). Description of each data set is also provided in a word file.
DOI: 10.4121/14130539
title: Data for the article entitled: Charge Regulation at a Nanoporous Two-Dimensional Interface

description: The folder contains all matlab files, origin files, excel files, figures related to our publication named "Charge Regulation at a Nanoporous Two-Dimensional Interface" published in <i>ACS Omega</i>(2021, 6, 4, 2487–2493). Description of each data set is also provided in a word file.
DOI: 10.4121/14166539.v1
title: Gridded rainfall maps retrieved from commercial microwave link (CML) data from Sri Lanka

description: Gridded dataset of rainfall intensities (mm/h) covering Sri Lanka over the period 12 September 2019 through 31 December 2019. Commercial microwave link (CML) data were used to estimate path-average rainfall between telephone towers. These were interpolated to 15-min rainfall maps on a 0.02 degree grid (approximately 4 km).
DOI: 10.4121/14166539
title: Gridded rainfall maps retrieved from commercial microwave link (CML) data from Sri Lanka

description: Gridded dataset of rainfall intensities (mm/h) covering Sri Lanka over the period 12 September 2019 through 31 December 2019. Commercial microwave link (CML) data were used to estimate path-average rainfall between telephone towers. These were interpolated to 15-min rainfall maps on a 0.02 degree grid (approximately 4 km).
DOI: 10.4121/14130098.v1
title: Data for the article entitled: Understanding Mono- and Bivalent Ion Selectivities of Nanoporous Graphene Using Ionic and Bi-ionic Potentials

description: The folder contains all matlab files, origin files, excel files, figures related to our publication named "Understanding Mono- and Bivalent Ion Selectivities of Nanoporous Graphene Using Ionic and Bi-ionic Potentials" published in Langmuir (2020,36,26,7400-7407). Description of each data set is also provided in a word file.
DOI: 10.4121/14130098
title: Data for the article entitled: Understanding Mono- and Bivalent Ion Selectivities of Nanoporous Graphene Using Ionic and Bi-ionic Potentials

description: The folder contains all matlab files, origin files, excel files, figures related to our publication named "Understanding Mono- and Bivalent Ion Selectivities of Nanoporous Graphene Using Ionic and Bi-ionic Potentials" published in Langmuir (2020,36,26,7400-7407). Description of each data set is also provided in a word file.
DOI: 10.4121/14130098.v2
title: Data for the article entitled: Understanding Mono- and Bivalent Ion Selectivities of Nanoporous Graphene Using Ionic and Bi-ionic Potentials

description: The folder contains all matlab files, origin files, excel files, figures related to our publication named "Understanding Mono- and Bivalent Ion Selectivities of Nanoporous Graphene Using Ionic and Bi-ionic Potentials" published in Langmuir (2020,36,26,7400-7407). Description of each data set is also provided in a word file.
DOI: 10.4121/14013545.v1
title: Data for the article entitled: Ion Transport through Perforated Graphene

description: The folder contains all matlab files, origin files, excel files, figures related to our publication named "Ion Transport through Perforated Graphene" published in The Journal of Physical Chemistry Letters (2018,9,6339-6344). Description of each data set is also provided in a word/pdf file. <br><br><br>
DOI: 10.4121/14013545.v2
title: Data for the article entitled: Ion Transport through Perforated Graphene

description: The folder contains all matlab files, origin files, excel files, figures related to our publication named "Ion Transport through Perforated Graphene" published in The Journal of Physical Chemistry Letters (2018,9,6339-6344). Description of each data set is also provided in a word/pdf file. <br><br><br>
DOI: 10.4121/14013545
title: Data for the article entitled: Ion Transport through Perforated Graphene

description: The folder contains all matlab files, origin files, excel files, figures related to our publication named "Ion Transport through Perforated Graphene" published in The Journal of Physical Chemistry Letters (2018,9,6339-6344). Description of each data set is also provided in a word/pdf file. <br><br><br>
DOI: 10.4121/14152994.v1
title: Datasets of LiDAR observation in Hong Kong

description: Datasets of LiDAR observation in Hong Kong. This dataset contains processed 3DREAMS lidar data and HKIA lidar data. MLH data in different seasons and PM conditions are provided. Wind and aerosol profiles from LiDAR are provided during the TAP case.
DOI: 10.4121/14152994
title: Datasets of LiDAR observation in Hong Kong

description: Datasets of LiDAR observation in Hong Kong. This dataset contains processed 3DREAMS lidar data and HKIA lidar data. MLH data in different seasons and PM conditions are provided. Wind and aerosol profiles from LiDAR are provided during the TAP case.
DOI: 10.4121/14169548.v1
title: The original data of the water injection test and experiments based on Darcy's law

description: The data of the water injection test was obtained from a deep groundwater strata.<br>The data of the experiment based on Darcy's law was obtained from laboratory.
DOI: 10.4121/14169548
title: The original data of the water injection test and experiments based on Darcy's law

description: The data of the water injection test was obtained from a deep groundwater strata.<br>The data of the experiment based on Darcy's law was obtained from laboratory.
DOI: 10.4121/13679200.v1
title: Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision

description: Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.<br><br>Download the README.txt first to help you decide what you want/need to download!<br>In this dataset, we capture the painterly depictions of materials to enable the study of depiction and perception of materials through the artists' eye. We annotated a dataset of 19k paintings with 200k+ bounding boxes from which polygon segments were automatically extracted. Each bounding box was assigned a coarse label (e.g., fabric) and a fine-grained label (e.g., velvety, silky).<br>Note that the data can be browed and explored on https://materialsinpaintings.tudelft.nl. If you only want to download a few paintings, using that website might be faster. <br><br><br>
DOI: 10.4121/13679200
title: Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision

description: Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.<br><br>Download the README.txt first to help you decide what you want/need to download!<br>In this dataset, we capture the painterly depictions of materials to enable the study of depiction and perception of materials through the artists' eye. We annotated a dataset of 19k paintings with 200k+ bounding boxes from which polygon segments were automatically extracted. Each bounding box was assigned a coarse label (e.g., fabric) and a fine-grained label (e.g., velvety, silky).<br>Note that the data can be browed and explored on https://materialsinpaintings.tudelft.nl. If you only want to download a few paintings, using that website might be faster. <br><br><br>
DOI: 10.4121/14139866.v1
title: Supplementary material for the paper: Multivariate and location-specific correlates of fuel consumption: A test track study

description: This file contains the Matlab script used to generate all figures in the manuscript named: Multivariate and location-specific correlates of fuel consumption: A test track study. Published in the journal Transportation Part D. https://doi.org/10.1016/j.trd.2020.102627 <br><br>In this script we predicted fuel consumption using test track data, an approach that allowed for location- specific predictions.<br><br>Ninety-one drivers drove a total of 4617 laps, in two vehicles (Renault Mégane, Renault Clio), on two routes (highway and mountain), and with two eco-driving instructions (normal and eco). A multivariate analysis at the level of laps showed a strong predictive value for metrics related to speed, RPM, and throttle position, but with a considerable amount of variance attributable to route and vehicle type. A subsequent location-specific analysis showed that the predictive correlation of driving speed and throttle position fluctuated strongly during the lap and at some locations even became negative.
DOI: 10.4121/14139866
title: Supplementary material for the paper: Multivariate and location-specific correlates of fuel consumption: A test track study

description: This file contains the Matlab script used to generate all figures in the manuscript named: Multivariate and location-specific correlates of fuel consumption: A test track study. Published in the journal Transportation Part D. https://doi.org/10.1016/j.trd.2020.102627 <br><br>In this script we predicted fuel consumption using test track data, an approach that allowed for location- specific predictions.<br><br>Ninety-one drivers drove a total of 4617 laps, in two vehicles (Renault Mégane, Renault Clio), on two routes (highway and mountain), and with two eco-driving instructions (normal and eco). A multivariate analysis at the level of laps showed a strong predictive value for metrics related to speed, RPM, and throttle position, but with a considerable amount of variance attributable to route and vehicle type. A subsequent location-specific analysis showed that the predictive correlation of driving speed and throttle position fluctuated strongly during the lap and at some locations even became negative.
DOI: 10.4121/12682826.v2
title: Supplementary materials for the article: 'External human–machine interfaces: The effect of display location on crossing intentions and eye movements'

description: Eisma, Y. B., Van Bergen, S., Ter Brake, S. M., Hensen, M. T. T., Tempelaar, W. J., & De Winter, J. C. F. (2019). External human-machine interfaces: The effect of display location on crossing intentions and eye movements. MDPI Information.
DOI: 10.4121/uuid:22ade94a-77af-451f-afd4-88b4ed2a36b3
title: Supplementary materials for the article: 'External Human–Machine Interfaces: The Effect of Display Location on Crossing Intentions and Eye Movements'

description: Eisma, Y. B., Van Bergen, S., Ter Brake, S. M., Hensen, M. T. T., Tempelaar, W. J., & De Winter, J. C. F. (2019). External human-machine interfaces: The effect of display location on crossing intentions and eye movements. MDPI Information.
DOI: 10.4121/12682826
title: Supplementary materials for the article: 'External human–machine interfaces: The effect of display location on crossing intentions and eye movements'

description: Eisma, Y. B., Van Bergen, S., Ter Brake, S. M., Hensen, M. T. T., Tempelaar, W. J., & De Winter, J. C. F. (2019). External human-machine interfaces: The effect of display location on crossing intentions and eye movements. MDPI Information.
DOI: 10.4121/14039045.v1
title: Dataset of the study "Behavioral Effects of Public Service Motivation among Citizens: Testing the Case of Digital Co-Production"

description: Dataset and codebook including the dependent variable (number of reports per user), the main independent variable (public service motivation) and its sub-dimensions, as well as a number of control variables. All variables and scales are described in the readme/codebook.
DOI: 10.4121/14039045
title: Dataset of the study "Behavioral Effects of Public Service Motivation among Citizens: Testing the Case of Digital Co-Production"

description: Dataset and codebook including the dependent variable (number of reports per user), the main independent variable (public service motivation) and its sub-dimensions, as well as a number of control variables. All variables and scales are described in the readme/codebook.
DOI: 10.4121/13573814.v2
title: Climatology-based Adjustments for Radar Rainfall in an OperaTional Setting: Adjustment factors for the Netherlands

description: This dataset contains gridded adjustment factors for correction of the Quantitative Precipitation Estimations (QPE) of the two operational C-band weather radars operated by the Royal Netherlands Meteorological Institute (KNMI). The factors are based on the CARROTS (Climatology-based Adjustments for Radar Rainfall in an OperaTional Setting) method, described in Imhoff et al. (2021). <br><br>The factors are available for every yearday (temporal resolution of one day) and are based on ten years (2009 - 2018) of radar and reference rainfall data, as distributed by KNMI. <br><br>For the derivation of the factors, both the operational radar QPE (https://doi.org/10.4121/uuid:05a7abc4-8f74-43f4-b8b1-7ed7f5629a01) and a reference rainfall dataset of KNMI (https://dataplatform.knmi.nl/catalog/datasets/index.html?x-dataset=rad_nl25_rac_mfbs_em_5min&&x-dataset-version=2.0) are used. The reference is not available in real time, but becomes available with a one to two month delay and was therefore available for this climatological factor derivation.<br>The derivation method was as follows per grid cell in the radar domain (Imhoff et al., 2021):<br>1. For every day in the period 2009--2018, an accumulation took place of all 5-min rainfall sums (of both the unadjusted radar QPE and the reference) within a moving window of 15 days prior to and 15 days after the day of interest. <br><br>2. For every yearday, the accumulations (per day) from the previous step were averaged over the ten years.<br>3. Gridded climatological adjustment factors (Fclim) were calculated per yearday as: Fclim(i,j) = RA(i,j) / RU(i,j). In this equation, RA(i,j) is the reference rainfall sum for the ten years and RU(i,j) the operationally available unadjusted radar QPE sum, based on the previous two steps, at grid cell (i, j).<br><br>For more details about the method, see Imhoff et al. (2021). For more information about the reference dataset, which consists of the radar QPE spatially adjusted with observations from 31 automatic and 325 manual rain gauges, see Overeem et al. (2009a,b).<br> <br><br>
DOI: 10.4121/13573814
title: Climatology-based Adjustments for Radar Rainfall in an OperaTional Setting: Adjustment factors for the Netherlands

description: This dataset contains gridded adjustment factors for correction of the Quantitative Precipitation Estimations (QPE) of the two operational C-band weather radars operated by the Royal Netherlands Meteorological Institute (KNMI). The factors are based on the CARROTS (Climatology-based Adjustments for Radar Rainfall in an OperaTional Setting) method, described in Imhoff et al. (2021). <br><br>The factors are available for every yearday (temporal resolution of one day) and are based on ten years (2009 - 2018) of radar and reference rainfall data, as distributed by KNMI. <br><br>For the derivation of the factors, both the operational radar QPE (https://doi.org/10.4121/uuid:05a7abc4-8f74-43f4-b8b1-7ed7f5629a01) and a reference rainfall dataset of KNMI (https://dataplatform.knmi.nl/catalog/datasets/index.html?x-dataset=rad_nl25_rac_mfbs_em_5min&&x-dataset-version=2.0) are used. The reference is not available in real time, but becomes available with a one to two month delay and was therefore available for this climatological factor derivation.<br>The derivation method was as follows per grid cell in the radar domain (Imhoff et al., 2021):<br>1. For every day in the period 2009--2018, an accumulation took place of all 5-min rainfall sums (of both the unadjusted radar QPE and the reference) within a moving window of 15 days prior to and 15 days after the day of interest. <br><br>2. For every yearday, the accumulations (per day) from the previous step were averaged over the ten years.<br>3. Gridded climatological adjustment factors (Fclim) were calculated per yearday as: Fclim(i,j) = RA(i,j) / RU(i,j). In this equation, RA(i,j) is the reference rainfall sum for the ten years and RU(i,j) the operationally available unadjusted radar QPE sum, based on the previous two steps, at grid cell (i, j).<br><br>For more details about the method, see Imhoff et al. (2021). For more information about the reference dataset, which consists of the radar QPE spatially adjusted with observations from 31 automatic and 325 manual rain gauges, see Overeem et al. (2009a,b).<br> <br><br>
DOI: 10.4121/13536617.v1
title: Data underlying the work: Aerodynamics Analysis of Speed Skating Helmets: Investigation by CFD Simulations

description: Data underlying the work: Aerodynamics Analysis of Speed Skating Helmets: Investigation by CFD Simulations
DOI: 10.4121/13536617
title: Data underlying the work: Aerodynamics Analysis of Speed Skating Helmets: Investigation by CFD Simulations

description: Data underlying the work: Aerodynamics Analysis of Speed Skating Helmets: Investigation by CFD Simulations