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livMats Biomimetic Shell Fabrication Tasks
No full textThis dataset was created to track the steps involved in making the livMats Biomimetic Shell, from design to fabrication. It contains information about the various tasks performed during the assembly of the shell's cassettes.
The dataset presents an array of essential tasks, each contributing to the shell's creation:
Move home
Take tool
Store tool
Initiate tool
Close tool
Travel
Pick
Place
Nail
Glue
Spill glue
HALT
To carry out the fabrication process, a 6-Axis Kuka industrial robot with a linear axis was used. The robot utilized three tools: Nail-gripper, Vacuum-gripper, and Glue-gun, to accomplish the assembly.
For more details about the dataset variables, you can refer to the engineering metadata, which clearly explains each element and its significance.
The data is presented in a JSON file, encompassing valuable information for each fabrication task:
Job: Each task is associated with one of the 33 fabrication jobs within the process. A fabrication job contains data about tasks performed for 3-4 cassettes together.
Name: This refers to the name of the specific task.
Actor: The name of the fabrication actor who executed the task.
Index: The index of the task in relation to the corresponding fabrication job.
OperationCount: This denotes the number of sub-operations within the task, such as the quantity of nails in a nailing task or the number of glue lines in a glue task.
startTime: The starting time of the task.
endTime: The end time of the task.
totalTime: The total duration of the task's execution, measured in seconds.
subOperationDuration: The execution time for each sub-operation within the task, also measured in seconds.
totalDistance: The overall execution distance covered during the task, measured in meters.
supOperationDistance: The execution distance covered for each sub-operation, measured in meters.
addedTime: The time elapsed from the beginning of the fabrication job execution.
trueIndex: In cases where hardware or software errors occur, task indexes may reset. The trueIndex maintains the actual task index within the fabrication job.
desigElement: The number of the design element (cassette) to which the task is related.
subDesignElement: The name of the sub-design element (plate/beam) to which the task is related.
actorData: This is a dictionary containing data transmitted to the actor for the actual fabrication. The dictionary includes the following key-value pairs:
startFrame: A dictionary of frames represented by X, Y, Z, A, B, C.
endFrames: A dictionary of frames represented by X, Y, Z, A, B, C.
startExternalAxisValues: A list of linear axis values for each frame in the startFrames.
endExternalAxisValues: A list of linear axis values for each frame in the endFrames.
startAxisValues: A dictionary of axis values represented by A1, A2, A3, A4, A5, A6.
startSpeedLimit: A list of speed limits for each frame in the startFrames.
endSpeedLimit: A list of speed limits for each frame in the endFrames.
offsets: An array of three numbers representing the offsets for the task in X, Y, Z.
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Interview Transcripts on Conditions For Study Success (WiSe 2021/22)
No full textThis dataset contains raw interview data (transcripts) from a seminar on study success requirements ("Lernerfolgsbedingungen im Hochschulstudium", Universität Stuttgart) in winter 2021/22. Students are narrating their experiences with a wide range of topics regarding their learning and study conditions, and their impact on study success.The interviews are best characterized as problem-centered interviews with strong narrative elements. The interviews were conducted online via the WebEx platform
Replication Data for: Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies
No full textThis data repository contains input and output files for large-scale experiments conducted on the three German national supercomputers HAWK, SuperMUC-NG, and JUWELS.
More structure can be seen when switching to "Tree" view below. Then, the files are structured into three folders (`io-benchmark`, `two-systems, `three-systems`), and the outputs were generated with the following software versions:
IO-Benchmark: DisCoTec version e8fad8ae, inputs and outputs both compressed into the same file. Includes file preparation scripts and darshan outputs. The darshan files are also uploaded to https://hpcioanalysis.zdv.uni-mainz.de/traces (search `DisCoTec` in "Application" or `HAWK` in "Cluster), where they can be explored interactively.
Two-system experiment: DisCoTec version e81a10589, UFTP copy scripts (in the DisCoTec repository) version 125ce10a5.
Three-system experiment: DisCoTec version 46127fe94c1, UFTP copy scripts (in the DisCoTec repository) version 58d1b9ba9.
The input files were generated with https://github.com/SGpp/DisCoTec-combischeme-utilities version 88d11fb0, exact commands can be seen from the scrips in this repository.
After the combination scheme is assigned to systems, the conjoint file sizes need to be generated as detailed in https://github.com/SGpp/DisCoTec/blob/main/tools/subspace_writer/README.md .
The resulting `scheme*json` and `*conjoint.sizes` files are part of the input generator folders uploaded here.
The measurements for the I/O benchmark were taken on October 6 2023.
The measurements for the two-system setup were taken on September 4 2023 between 14:30 and 15:30.
The measurements for the three-system setup were taken on November 8 2023 between 13:30 and 15:00.
Raw data are uploaded as .tar.gz files in the respective folder.
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Replication Data for: Control Comparison of Impact Actuator
No full textThe Dataset contains the data, that was created simulating and measuring different control strategies for the impact actuator. Each table contains the time value, the set position and the actual position for the base axes as well as the actuators when executing a reference contour.
There are two tables for each of the four control strategies, both simulative and experimental:
EdgeStop: Reference Profile with acceleration an jerk limits
ImpRef: Previous Impact Control Strategie
ImpNewWithoutReset: New Strategie, but without controller reset
ImpNew: New Impact Conctrol strategie
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Additional data related to Weirich et al.: Discovery of new NSD2 non-histone substrates and design of a super-substrate
No full textThis data collection contains additional data related to Weirich et al.: "Discovery of new NSD2 non-histone substrates and design of a super-substrate".
This includes
Modelled structures of NSD2 bound to different peptides
Source data of the results of the MD analysis
MD simulations codes and analysis scripts
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Replication Data for: Investigations on the Shear Load-Bearing Behavior of Functionally Graded Concrete Beams with Mineral Hollow Spheres
No full textAddendum to the corresponding paper. The paper describes numerical and experimental investigations of functionally graded concrete beams subjected to three-point bending tests to determine their shear capacity.
The data set includes:
diagrams/
Values for the load-deformation curve of the numerical simulation used to perform the described mesh study
Values for the load-deformation curve of the numerical simulation used to perform the described viscosity study
Values for the load-deformation curves of the specimens V1A-V3B compared to the numerical simulation
crack_pattern/
Images with the observed crack pattern of each specimen of the three-point bending test at different load stages and at ultimate failure.
simulation_input/
Abaqus .inp files that allow the reproduction of the described numerical simulation for different mesh refinements.
statistical_evaluation/
Determination of the characteristic value of the shear load-bearing capacity of the specimens according to DIN EN 1990
The experimental data (load-deformation curve V1A-V3B, crack pattern and statistical evaluation) contains measurements from specimens of functionally graded concrete beams where the load and deflection were measured.
Further data (load-deformation curves for comparison with experiments, mesh study & viscosity study, simulation input) contains compilated input files and results from numerical simulations conducted with the FE-Software ABAQUS
D1244 sensor data (February 2024)
No full text
General information:
This dataset contains measurements from the adaptive high-rise demonstrator building D1244, built in the scope of the CRC1244. This 36m high building is equipped with 24 hydraulic actuators providing the basis for its structural adaptation. Strain gauges, pressure sensors and position encoders are mounted throughout the building and used for state estimation and monitoring.
Structure of the dataset:
Each zip-file contains measurements of one day in the hdf5 format.
The hdf5-files in each zip-file contain an array of 244 signals sampled over 10^6 time steps at approximately 200Hz.
labels.csv contains auxiliary information on all measured signals, including the sensor type and the sensor's location in the building
File contents:
Each hdf5-file contains signals of the following types, arranged as stated in labels.csv:
strain: strain (in mm/m) in columns and diagonal bracing elements, measured by strain gauges.
pressure: pressure (in bar) in the piston side or the rod side chamber of a hydraulic actuator. For actuators in the diagonal bracing, the rod side chamber is permanently connected to the tank.
posenc: displacement (in meters) of each actuator, measured by a position encoder.
optic: optically measured displacement (in meters) of emitters attached to the building's facade.
The building consists of four modules spanning three stories each, and all sensors within a module are connected to a control cabinet, from which all measurements are transmitted. The cameras of the optical measurement system are placed outside the building and transmit their data separately from the sensors within the building. Therefore, there are an additional two signals per module (or camera):
timestamp: unix timestamp (seconds since 1st January 1970) of the control cabinet
numvars: number of measured variables
Missing measurements are marked as NaN. The optical measurement system is currently undergoing maintenance, which is why the corresponding signals are all NaN.
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Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections"
No full textSupplemental material for our paper "Exploring visual quality of multidimensional time series projections":
A video demonstrating the interactive use of our exploration system.
A table containing publications using dimensionality reduction on multidimensional time series to project them to 2D for visualization and exploration.
A file containing images illustrating the data used in section 5.2. (Simulation Data: Kármán Vortex Street) and section 5.3. (Real Footage: Hurricane Dorian Timelapse).
A video illustrating the data used in section 5.2. (Simulation Data: Kármán Vortex Street).
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Replication Data for: Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials
No full textSimulation input scripts used for "Bridging Microscopic Dynamics and Hydraulic
Permeability in Mechanically-Deformed Nanoporous Materials"
The folders the corresponding simulation and analysis files to setup the simulation systems (SETUP), perform the GCMC/MD simulations (ISOTHERM), and run the equilibrium and non-equilibrium MD simulations, respectively (EQMD/NEMD)
SOFIA Telescope Finite Element Model
No full textThe SOFIA Telescope Finite Element Model is a collection of ANSYS APDL macros which construct an integrated model of the SOFIA Telescope Assembly from subcomponents