cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/13625735.v1
title: Supporting Information for the publication: The influence of slipface angle on dune growth

description: Data contains dune characteristics (dune height, length and slipface angles) during dune growth from an initial flatbed in a laboratory flume. Dune characteristics are derived using a widely used bedform tracking tool. <br>Explanation of variables:1: Time relative to dune equilibrium time.2: Dune height relative to equilibrium dune heigth. 3: Dune length relative to equilibrium dune length.4: Dune steepness (height over length).5: Dune slipface angles (in degrees).<br><br>Methods, materials and software:Experiments were conducted in a tilting flume with recirculation facilities for both water and sediment in the Kraijenhoff van de Leur laboratory for Water and Sediment dynamics, Wageningen University & Research.The flume measures 1.20 m x 0.50 m x 14.4 m internally (width x height x length). A 15 cm thick layer of uniformly distributed, light-weight polystyrene particles was installed at the flume bed with a density of p_s=1055 kg m^(-3). Dune slipface angles are the steepest part of a dune leeside. Dune slipface angles are calculated with the bedform tracking tool using MATLAB.
DOI: 10.4121/13625735.v2
title: Supporting Information for the publication: The influence of slipface angle on dune growth

description: Data contains dune characteristics (dune height, length and slipface angles) during dune growth from an initial flatbed in a laboratory flume. Dune characteristics are derived using a widely used bedform tracking tool. <br>Explanation of variables:1: Time relative to dune equilibrium time.2: Dune height relative to equilibrium dune heigth. 3: Dune length relative to equilibrium dune length.4: Dune steepness (height over length).5: Dune slipface angles (in degrees).<br><br>Methods, materials and software:Experiments were conducted in a tilting flume with recirculation facilities for both water and sediment in the Kraijenhoff van de Leur laboratory for Water and Sediment dynamics, Wageningen University & Research.The flume measures 1.20 m x 0.50 m x 14.4 m internally (width x height x length). A 15 cm thick layer of uniformly distributed, light-weight polystyrene particles was installed at the flume bed with a density of p_s=1055 kg m^(-3). Dune slipface angles are the steepest part of a dune leeside. Dune slipface angles are calculated with the bedform tracking tool using MATLAB.
DOI: 10.4121/13625735.v3
title: Supporting Information for the publication: The influence of slipface angle on dune growth

description: Dune characteristics as calculated with the bedform tracking tool. Data contains dune characteristics (dune height, length and slipface angles) during dune growth from an initial flatbed in a laboratory flume.<br><br>Explanation of variables in columns from left to right:<br>1: Time relative to dune equilibrium time ((T/Te) in (s/s))<br>2: Dune height relative to equilibrium dune heigth ((H/He) in (m/m)) <br>3: Dune length relative to equilibrium dune length (L/Le in (m/m))<br>4: Dune steepness (height over length) ((H/L) in (m/m)).<br>5: Dune slipface angles (in degrees).<br>Experiments were conducted in a tilting flume with recirculation facilities for both water and sediment in the Kraijenhoff van de Leur laboratory for Water and Sediment dynamics, Wageningen University & Research.<br>The flume measures 1.20 m x 0.50 m x 14.4 m internally (width x height x length). A 15 cm thick layer of uniformly distributed, light-weight polystyrene particles was installed at the flume bed with a density of p_s=1055 kg m^(-3). <br>Dune slipface angles are the steepest part of a dune leeside. Dune slipface angles are calculated with the bedform tracking tool using MATLAB. <br>
DOI: 10.4121/13625735
title: Supporting Information for the publication: The influence of slipface angle on dune growth

description: Dune characteristics as calculated with the bedform tracking tool. Data contains dune characteristics (dune height, length and slipface angles) during dune growth from an initial flatbed in a laboratory flume.<br><br>Explanation of variables in columns from left to right:<br>1: Time relative to dune equilibrium time ((T/Te) in (s/s))<br>2: Dune height relative to equilibrium dune heigth ((H/He) in (m/m)) <br>3: Dune length relative to equilibrium dune length (L/Le in (m/m))<br>4: Dune steepness (height over length) ((H/L) in (m/m)).<br>5: Dune slipface angles (in degrees).<br>Experiments were conducted in a tilting flume with recirculation facilities for both water and sediment in the Kraijenhoff van de Leur laboratory for Water and Sediment dynamics, Wageningen University & Research.<br>The flume measures 1.20 m x 0.50 m x 14.4 m internally (width x height x length). A 15 cm thick layer of uniformly distributed, light-weight polystyrene particles was installed at the flume bed with a density of p_s=1055 kg m^(-3). <br>Dune slipface angles are the steepest part of a dune leeside. Dune slipface angles are calculated with the bedform tracking tool using MATLAB. <br>
DOI: 10.4121/13663433.v1
title: Data underlying the publication: Global Glacier Mass Loss During the GRACE Satellite Mission (2002-2016)

description: This collection contains mass changes for 17 glacier regions between 2002 and 2016 as time series and annual mass balances as published in:<br><br>Wouters B, Gardner AS and Moholdt G (2019) Global Glacier Mass Loss During the GRACE Satellite Mission (2002-2016). Front. Earth Sci. 7:96. doi: 10.3389/feart.2019.00096<br><br>*** Time serie files GRACE_no_GIA_err.zip (= time series with GIA correction applied and cumulative GIA uncertainties INCLUDED in total uncertainties) and GRACE_no_GIA_noerr.zip ( = time series with GIA correction applied but cumulative GIA uncertainties NOT INCLUDED in total uncertainties):<br><br>First column: files contain data (decimal years)<br>Second column: mass anomaly w.r.t. arbitrary reference [Gigatonnes]<br>Third column: uncertainty estimate [Gigatonnes]<br><br>*** The annual mass balance files contain mass change between Mar 31 and Apr 1 and Sep 30 - Oct 1, respectively, for the 17 RGI regions defined in our Frontiers paper. Two files are provided, as total mass balance and specific mass balance.
DOI: 10.4121/13663433
title: Data underlying the publication: Global Glacier Mass Loss During the GRACE Satellite Mission (2002-2016)

description: This collection contains mass changes for 17 glacier regions between 2002 and 2016 as time series and annual mass balances as published in:<br><br>Wouters B, Gardner AS and Moholdt G (2019) Global Glacier Mass Loss During the GRACE Satellite Mission (2002-2016). Front. Earth Sci. 7:96. doi: 10.3389/feart.2019.00096<br><br>*** Time serie files GRACE_no_GIA_err.zip (= time series with GIA correction applied and cumulative GIA uncertainties INCLUDED in total uncertainties) and GRACE_no_GIA_noerr.zip ( = time series with GIA correction applied but cumulative GIA uncertainties NOT INCLUDED in total uncertainties):<br><br>First column: files contain data (decimal years)<br>Second column: mass anomaly w.r.t. arbitrary reference [Gigatonnes]<br>Third column: uncertainty estimate [Gigatonnes]<br><br>*** The annual mass balance files contain mass change between Mar 31 and Apr 1 and Sep 30 - Oct 1, respectively, for the 17 RGI regions defined in our Frontiers paper. Two files are provided, as total mass balance and specific mass balance.
DOI: 10.4121/13670293.v1
title: Post-processed ADV 3-D velocity fields and water surface/bed topography maps acquired in an open-channel confluence

description: This dataset contains the data acquired during the laboratory study in an open-channel confluence with movable bed and at the stage of dynamic equilibrium.<br>The data is divided in two groups:<br>1. The mean velocity and mean turbulence kinetic energy data;<br>2. The bed topography and water surface maps.<br>All data are stored as ".mat" (Matlab supported files). <br><br>A detailed read.me file is attached to the dataset.
DOI: 10.4121/13670293
title: Post-processed ADV 3-D velocity fields and water surface/bed topography maps acquired in an open-channel confluence

description: This dataset contains the data acquired during the laboratory study in an open-channel confluence with movable bed and at the stage of dynamic equilibrium.<br>The data is divided in two groups:<br>1. The mean velocity and mean turbulence kinetic energy data;<br>2. The bed topography and water surface maps.<br>All data are stored as ".mat" (Matlab supported files). <br><br>A detailed read.me file is attached to the dataset.
DOI: 10.4121/12764780.v1
title: Force and velocity measurements inside arrays of emergent vertical cylinders in a current

description: The text files include the velocity and force measurements in vertical arrays of cylinders, conducted by MSc student Wiljan Jansen at the wave and current flume of Delft University of technology, under the supervision of PhD student Alejandra Gijon Mancheno. The data was collected by Wiljan and analysed by Alejandra for the development of a predictive model of the drag forces on groups of cylinders, as a part of her PhD dissertation.
DOI: 10.4121/12764780
title: Force and velocity measurements inside arrays of emergent vertical cylinders in a current

description: The text files include the velocity and force measurements in vertical arrays of cylinders, conducted by MSc student Wiljan Jansen at the wave and current flume of Delft University of technology, under the supervision of PhD student Alejandra Gijon Mancheno. The data was collected by Wiljan and analysed by Alejandra for the development of a predictive model of the drag forces on groups of cylinders, as a part of her PhD dissertation.
DOI: 10.4121/uuid:4830dbc2-84b8-46f9-99a3-90f01ab5b923.v1
title: High resolution bed level change and synchronized biophysical data from 10 tidal flats in northwestern Europe

description: Tidal flats provide valuable ecosystem services such as flood protection and carbon sequestration. Erosion and accretion processes govern the eco-geomorphic evolution of intertidal ecosystems (marshes and bare flats), and hence substantially affect their valuable ecosystem services. To understand the intertidal ecosystem development, high-frequency bed-level change data are thus needed. However, such datasets are scarce due to the lack of suitable methods that do not involve excessive labour and/or instrument cost. By applying newly-developed Surface Elevation Dynamics sensors (SED-sensors), we obtained unique high-resolution daily bed-level change data sets in the period 2013-2017 from 10 saltmarsh sites situated in the Netherlands, Belgium and Britain in contrasting physical and biological settings. At each site, multiple sensors were deployed for 9-20 months to ensure sufficient spatial and temporal coverage of highly variable bed level change processes. The bed level change data are provided with synchronized hydrodynamic data, i.e. water level, wave height, tidal current velocity, and medium grain size (D50) as well as (for some sites) chlorophyll-a level and organic matter content of the surface sediment. This dataset has revealed diverse spatial morphodynamic patterns over daily to seasonal scales, which are valuable to theoretical and model development. On the daily scale, this dataset is particularly instructive as it includes a number of storm events, the response to which can be detected in the bed level change observations. Such data are rare but useful to study tidal flat response to highly energetic conditions.
DOI: 10.4121/uuid:4830dbc2-84b8-46f9-99a3-90f01ab5b923.v2
title: High resolution bed level change and synchronized biophysical data from 10 tidal flats in northwestern Europe

description: Tidal flats provide valuable ecosystem services such as flood protection and carbon sequestration. Erosion and accretion processes govern the eco-geomorphic evolution of intertidal ecosystems (marshes and bare flats), and hence substantially affect their valuable ecosystem services. To understand the intertidal ecosystem development, high-frequency bed-level change data are thus needed. However, such datasets are scarce due to the lack of suitable methods that do not involve excessive labour and/or instrument cost. By applying newly-developed Surface Elevation Dynamics sensors (SED-sensors), we obtained unique high-resolution daily bed-level change data sets in the period 2013-2017 from 10 saltmarsh sites situated in the Netherlands, Belgium and Britain in contrasting physical and biological settings. At each site, multiple sensors were deployed for 9-20 months to ensure sufficient spatial and temporal coverage of highly variable bed level change processes. The bed level change data are provided with synchronized hydrodynamic data, i.e. water level, wave height, tidal current velocity, and medium grain size (D50) as well as (for some sites) chlorophyll-a level and organic matter content of the surface sediment. This dataset has revealed diverse spatial morphodynamic patterns over daily to seasonal scales, which are valuable to theoretical and model development. On the daily scale, this dataset is particularly instructive as it includes a number of storm events, the response to which can be detected in the bed level change observations. Such data are rare but useful to study tidal flat response to highly energetic conditions.
DOI: 10.4121/12693254
title: Synchronized high-resolution bed-level change and biophysical data from 10 marsh–mudflat sites in northwestern Europe

description: Tidal flats provide valuable ecosystem services such as flood protection and carbon sequestration. Erosion and accretion processes govern the eco-geomorphic evolution of intertidal ecosystems (marshes and bare flats), and hence substantially affect their valuable ecosystem services. To understand the intertidal ecosystem development, high-frequency bed-level change data are thus needed. However, such datasets are scarce due to the lack of suitable methods that do not involve excessive labour and/or instrument cost. By applying newly-developed Surface Elevation Dynamics sensors (SED-sensors), we obtained unique high-resolution daily bed-level change data sets in the period 2013-2017 from 10 saltmarsh sites situated in the Netherlands, Belgium and Britain in contrasting physical and biological settings. At each site, multiple sensors were deployed for 9-20 months to ensure sufficient spatial and temporal coverage of highly variable bed level change processes. The bed level change data are provided with synchronized hydrodynamic data, i.e. water level, wave height, tidal current velocity, and medium grain size (D50) as well as (for some sites) chlorophyll-a level and organic matter content of the surface sediment. This dataset has revealed diverse spatial morphodynamic patterns over daily to seasonal scales, which are valuable to theoretical and model development. On the daily scale, this dataset is particularly instructive as it includes a number of storm events, the response to which can be detected in the bed level change observations. Such data are rare but useful to study tidal flat response to highly energetic conditions.
DOI: 10.4121/13664183.v1
title: Research Data behind PhD Project: Exploring Instantaneous Speed in Grade 5 A Design Research

description: I have collected the following datasets for my project "Exploring Instantaneous Speed in Grade 5. A Design Research":Starting Up videos of 5th grade students exploring speed in the context of filling glasswareDesign Experiment 1 videos of a 5-lesson classroom teaching experiment on speed in the context of filling glassware.Design Experiment 2 videos of a small-scale classroom teaching experiment about speedDesign Experiment 3 videos of a 5-lesson classroom experiment tried in two different classroomsThis data is not publicly available for privacy reasons. For more information, please contact the author.<br>For more information about the research, see https://heerdebeer.org/DR<br>
DOI: 10.4121/13664183
title: Research Data behind PhD Project: Exploring Instantaneous Speed in Grade 5 A Design Research

description: I have collected the following datasets for my project "Exploring Instantaneous Speed in Grade 5. A Design Research":Starting Up videos of 5th grade students exploring speed in the context of filling glasswareDesign Experiment 1 videos of a 5-lesson classroom teaching experiment on speed in the context of filling glassware.Design Experiment 2 videos of a small-scale classroom teaching experiment about speedDesign Experiment 3 videos of a 5-lesson classroom experiment tried in two different classroomsThis data is not publicly available for privacy reasons. For more information, please contact the author.<br>For more information about the research, see https://heerdebeer.org/DR<br>
DOI: 10.4121/uuid:f36eedcd-d663-4c64-a9c1-496625034998.v1
title: Supplementary data for the publication: Fixing the Number of Unique Profiles in Optimization of Steel Skeletal Structures

description: This dataset belongs to the publication: Fixing the Number of Unique Profiles in Optimization of Steel Skeletal Structures . It contains all input data of the eight benchmarks problems used and the results of the numerical experiments.
DOI: 10.4121/12718790.v3
title: Supplementary data for the publication: A Grouping Method for Optimization of Steel Skeletal Structures by Applying a Combinatorial Search Algorithm Based on a Fully Stressed Design

description: This dataset belongs to the publication: A Grouping Method for Optimization of Steel Skeletal Structures by Applying a Combinatorial Search Algorithm Based on a Fully Stressed Design. It contains all input data of the eight benchmarks problems used and the results of the numerical experiments.
DOI: 10.4121/uuid:f36eedcd-d663-4c64-a9c1-496625034998
title: Supplementary data for the publication: Grouped Optimization of Steel Skeletal Structures with a Combinatorial Search Algorithm Based on a Fully Stressed Design

description: This dataset belongs to the publication: Grouped Optimization of Steel Skeletal Structures with a Combinatorial Search Algorithm Based on a Fully Stressed Design. It contains all input data of the eight benchmarks problems used and the results of the numerical experiments.
DOI: 10.4121/12718790
title: Supplementary data for the publication: A Grouping Method for Optimization of Steel Skeletal Structures by Applying a Combinatorial Search Algorithm Based on a Fully Stressed Design

description: This dataset belongs to the publication: A Grouping Method for Optimization of Steel Skeletal Structures by Applying a Combinatorial Search Algorithm Based on a Fully Stressed Design. It contains all input data of the eight benchmarks problems used and the results of the numerical experiments.
DOI: 10.4121/13649885.v1
title: PIV uncertainty - Database of the turbulent region of a transitional jet

description: Database of the turbulent region of a transitional jet. The data contain both the raw (tiff) images acquired with the measurement system (MS), as well as the exact displacement field evaluated via a High-Dynamic-Range (HDR) system. Different sets for the MS data have been acquired with variable seeding density and f-stop.A document containing all the information on the database is included.Part of the data contained in the database have been published in Neal et al (2015).
DOI: 10.4121/13649885
title: PIV uncertainty - Database of the turbulent region of a transitional jet

description: Database of the turbulent region of a transitional jet. The data contain both the raw (tiff) images acquired with the measurement system (MS), as well as the exact displacement field evaluated via a High-Dynamic-Range (HDR) system. Different sets for the MS data have been acquired with variable seeding density and f-stop.A document containing all the information on the database is included.Part of the data contained in the database have been published in Neal et al (2015).
DOI: 10.4121/13663376.v1
title: PIV uncertainty - Database of the unsteady inviscid core of a transitional jet

description: Database of the unsteady inviscid core region of a transitional jet. The data contain both the raw (tiff) images acquired with the measurement system (MS), as well as the exact displacement field evaluated via a High-Dynamic-Range (HDR) system. Different sets for the MS data have been acquired with variable seeding density and f-stop.A document containing all the information on the database is included.Part of the data contained in the database have been published in Neal et al (2015).
DOI: 10.4121/13663376
title: PIV uncertainty - Database of the unsteady inviscid core of a transitional jet

description: Database of the unsteady inviscid core region of a transitional jet. The data contain both the raw (tiff) images acquired with the measurement system (MS), as well as the exact displacement field evaluated via a High-Dynamic-Range (HDR) system. Different sets for the MS data have been acquired with variable seeding density and f-stop.A document containing all the information on the database is included.Part of the data contained in the database have been published in Neal et al (2015).
DOI: 10.4121/13663619
title: Videos – CFD-DEM simulations: fluidisation of calcite-pellets in water

description: Videos – CFD-DEM simulations fluidisation calcium carbonate granules (calcite-pellets 0.8-0.9mm and 1.4-1.7mm) in water
DOI: 10.4121/13277246.v1
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: 10.4121/13277246.v2
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: 10.4121/13277246.v3
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>