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D1244 sensor data (June 2023)
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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Direct and Indirect Measurement of Complex Poisson's Ratio - Indirect Measurement in Torsion and Tension
No full textThis data set contains indirectly calculated complex Poisson's ratio by determining the complex Young's E* and complex shear modulus G* from torsion and tension measurements. The measurements were performed on cylindric polymethyl methacrylate (PMMA, EH-Design, Wörrstadt, Germany) samples with a diameter of d = 3 mm. Frequency measurements were performed with a rheometer (MCR 702, linear motor, Anton-Paar, Graz, Austria) in a angular frequency range of 0.628 rad/s to 188 rad/s with an axial strain of epsilon = 0.01 % and shear strain of gamma = 0.01 % at constant temperatures in the range of 15 to 105 °C. The Elastic Viscoelastic Correspondence Principle (EVCP) is applied to calculate the complex Poisson's ratio
Replication Data for: A Complementary Experimental and Theoretical Approach for Probing the Surface Functionalization of ZnO with Molecular Catalyst Linkers
No full textThis dataset contains raw and processed data corresponding to all the atomic force microscopy (AFM), scanning electron microscopy (SEM), polarization-modulation infrared reflection absorption spectroscopy (PM-IRRAS), angle-resolved, and temperature-dependent X-ray photoelectron spectroscopy (XPS) measurements. Data from collaborating groups can be found in a separate dataset. The numbering of the individual files follows the sequence of figures in the publication (and supporting information). The following data types are included: .xlsx, .dpt, .jpg, and .tif
D1244 sensor data (January 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.
</p
Replication Data for: Constraint-aware neural networks for Riemann problems
No full textData sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an isothermal two-phase model, and the Euler equations for an ideal gas. You can find detailed information in the README.md
MRI based perfusion of rats with 60% PVL
No full textThe study investigates in vivo liver perfusion in rats. Perfusion of ligated and non-ligated liver lobes of 25 rats was monitored via MRI. Rats were subjected to 60% Portal Vein Ligation (PVL).
Experimentally, the left stem of the portal vein (supplying Left Median (LML) and Left Lateral Lobe (LLL)) and the right stem to the Right Lobe (RL) were ligated.
*Description of the Method and derived Units*
An ASL MRI technique assessed Tissue perfusion in vivo on anaesthetized animals. This method employs selective inversion of magnetization within the imaging plane or global inversion across the entire animal. MR imaging was conducted using a rapid, single-shot EPI technique following this labelling process.
To quantify tissue perfusion, which denotes the influx of water molecules from the bloodstream into the tissue and the subsequent exchange of tissue water, we measured the T1 recovery of the magnetization. This involved repeating selective and global inversions, followed by various delay times to capture the T1 recovery in both selective and global scenarios.
Tissue perfusion was then determined by calculating the T1 difference between selective and global inversions and scaling the resultant values to mL/100 g/min, representing millilitres of blood per 100 grams of tissue per minute. This computation was executed on MRI images for each voxel. Subsequently, regions of interest (ROIs) were manually delineated on anatomical images for each liver lobe. The resultant single voxel perfusion values are stored in the *.mat files.
*Description of the Dataset*
The dataset consists of perfusion measurements for Regions of Interest (ROI) in each lobe. Perfusion values were obtained by collecting the voxel perfusion value for each ROI. The Dataset contains already curated representative perfusion values for each lobe. It can be used to obtain numeric perfusion values for 5 post operative days.
This Dataset consists of:
The raw data (zip file)
A python script to convert the raw data to a tsv file
The converted tsv file, containing the animal id, observation time, lobe and perfusion value
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Experimental and Numerical Data for: "Micro-PIV study on the influence of viscosity on the dynamics of droplet impact onto a thin film"
No full textData sets of the article "Micro-PIV study on the influence of viscosity on the dynamics of droplet impact onto a thin film". The article focuses on the evolution of the radial velocity within the crown crater formed during droplet impact onto a thin liquid film. Using four different silicone oils, a Reynolds numbers range of one order is covered. We confirm by applying Particle Image Velocimetry (PIV) that the spreading velocity increases linearly with radial distance. However, the temporal decrease of the radial velocity exhibits an exponential decay. This can be explained by the known exponential decay of pressure force. Hence, the experimental analysis is further corroborated by findings from analytical considerations, numerical simulations, and film height measurements.
The dataset allows you to reproduce some of the presented plots. People are encouraged to use the data to compare their own numerical code, experiments or image and video post-processing algorithms with our results. The data consists of experimental raw images as well as derived quantities. Moreover, data produced with the inhouse multiphase flow solver Free Surface 3D (FS3D) are given. You can find detailed information about the provided experimental and numerical data in README.md. (2024-03-13)<br /
Replication Data for: "Downsizing Porphyrin Covalent Organic Framework Particles Using Protected Precursors for Electrocatalytic CO2 Reduction"
No full textAll primary data files of the journal article mentioned can be found here.
The data is structured by the materials, electrodes, and models. The characterization data of each precursor and COF are located in the subfolders "Co(tapp)", "Co(ttpp)", "COF-A", "COF-T", "COF-367-Co", and "Co(tapp)-TPDA-COF". The characterization and catalysis data of electrodes are located in the subfolder "Electrodes". The structural model data are located in the subfolder "Modeling".
The characterization and catalysis data are recorded experimentally. The structure model data are created by manual modeling and Rietveld refinement.
The characterization and catalysis data can be used to replicate the experiments and to evaluate and compare the materials' properties with others. The structure model data can be used to investigate the materials' structures and to predict properties by computation
Source code and Numerical Examples for Decomposed Quasiconvex Optimization with Application to Generalized Cone Problems
No full textThis dataset contains source code and numerical examples for quasiconvex sum-of-squares problems via decomposed optimization.Usage Notes
The files in the examples folder correspond to the numerical examples provided in Section 6 of the accompanying publication.
Before running the examples,
Download required software from the links below; or unpack archives in the library folder.
Add file gradsosopt.m as well as required software to MATLAB path.
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Roaming Autonomous Distributed robot (RADr)
No full textRoaming Autonomous Distributed robot (RADr) is a two-wheeled mobile robot that can assemble hexagonal digital materials. This dataset contains the 3D models for a RADr and a digital material that the RADr can actively grab with an electromagnet and move around (in 3dm and STEP file format). On top of each, there are retroreflective markers so that can be tracked by a motion capture system such as Optitrack or Vicon. The dataset also contains the robot code that is uploaded to the robot to enable its wireless control via MQTT. MQTT is a standard messaging protocol for the Internet of Things (IoT).
The electronic components on the robot are as follows:
Arduino Uno Wi-Fi Rev2
2 ROBOTIS DYNAMIXEL XL430-W250-T with Wheel Set for TurtleBot3
ROBOTIS DYNAMIXEL Motor Shield
11.1 V 2250 mAh Lipo Battery
8kg Electromagnet
MOSFET
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