cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-2067/6
title: ParameterRecord.txt
DOI: 10.18419/darus-2069/1
title: WK05_09_Scaled.ply
DOI: 10.18419/darus-2069/2
title: ParameterRecord.docx
DOI: 10.18419/darus-2069/3
title: WK05_09_Scaled_Transformed_Refined.ply
DOI: 10.18419/darus-2069/4
title: WK05_09_Scaled_Transformed.ply
DOI: 10.18419/darus-2069/5
title: WK05_09_Integrated.ply
DOI: 10.18419/darus-2069
title: 3D Integrated Data of WK05-09

description: Dataset contains 3D Computer Tomography (CT) and Computer Vision (CV) integrated Data. The surface data was obtained by CV methods and the interior structure of the object via CT method. The aim was the integration of this data and can be found in this Dataset.&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: rate gyro
DOI: 10.18419/darus-2069/6
title: ParameterRecord.txt
DOI: 10.18419/darus-2204/1
title: dichasus-0053.tfrecords

description: First complete run of vacuum robot
DOI: 10.18419/darus-2204/2
title: dichasus-0054.tfrecords

description: Second complete run of vacuum robot
DOI: 10.18419/darus-2204/3
title: dichasus-0055.tfrecords

description: Third complete run of vacuum robot
DOI: 10.18419/darus-2204/4
title: dichasus-0056.tfrecords

description: Fourth complete run of vacuum robot
DOI: 10.18419/darus-2204/5
title: dichasus-0057.tfrecords

description: Fifth complete run of vacuum robot
DOI: 10.18419/darus-2204
title: CSI Dataset dichasus-005x: Indoor Non-Line of Sight, Single Room
title: Radio channel measurements generated by DICHASUS

description: Dataset containing channel state information (CSI) alongside ground truth data (position tags, timestamps) of a massive MIMO-OFDM system measured with the DICHASUS channel sounder. Measurement parameters and machine-readable file format descriptions are provided in a JSON file (spec.json).

Indoor, single-room dataset with co-located receivers and 50MHz bandwidth
DOI: 10.18419/darus-2204/6
title: spec.json

description: Machine-readable description file
DOI: 10.18419/darus-2227/1
title: BGC1_model_3D_time_series_9_predictions.zip

description: The 1400 slices (from 4 to 1403) were used for analysis.
DOI: 10.18419/darus-2227/2
title: BGC2_model_3D_time_series_9_predictions.zip

description: The 1400 slices (from 4 to 1403) were used for analysis.
DOI: 10.18419/darus-2227/3
title: BGC1_cropped_histadjusted_Low_dose_data.7z

description: Low-dose image data of BGC1 during EICP experiment (at every 2 hour)
DOI: 10.18419/darus-2227/4
title: BGC2_cropped_histadjusted_Low_dose_data.7z

description: Low-dose image data of BGC2 during EICP experiment (at every 2 hour)
DOI: 10.18419/darus-2227/5
title: BGC1_flow_pressure_log.7z

description: Logfiles of BGC1: The initial permeability measurement (BGC1_PermBefore), the parallel injection of the reactive solutions (BGC1_ParallelInjection) and the final permeability measurement (BGC1_PermFinal)
DOI: 10.18419/darus-2227
title: Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns

description: The results of EICP (Enzyme Induced Calcite Precipitation) experiments. This dataset includes pressure measurements and 3D reconstructed X-ray images during the conducted experiments. The experiment was performed on two Borosillicates Glass beads Columns (BGC). The images were taken with so called "Low-dose" strategy by minimizing the exposure time and projection acquisition in order to boost data acquisition time (6 min / dataset). Later, the low quality of acquired images affected by adopted strategy was enhanced by ML algorithm. The codes which were used for the post-processing in order to enhance the image quality can be found at &lt;a href = "https://doi.org/10.18419/darus-2991"&gt;https://doi.org/10.18419/darus-2991&lt;/a&gt;. The image data was recorded at the time steps 1, 2, 4, 6, 8, 10 and 12 hours of EICP experiment.
DOI: 10.18419/darus-2227/6
title: BGC2_flow_pressure_log.7z

description: Logfiles of BGC2: The initial permeability measurement (BGC2_PermBefore), the parallel injection of the reactive solutions (BGC2_ParallelInjection) and the final permeability measurement (BGC2_PermFinal)
DOI: 10.18419/darus-2229/1
title: readme.pdf

description: User guide
DOI: 10.18419/darus-2229/2
title: P2_MK-A1-GD.csv

description: Material parameter set
DOI: 10.18419/darus-2229/3
title: P3_HB-A2-HB.csv

description: Material parameter set
DOI: 10.18419/darus-2229/4
title: P1-TK_A1-GD.csv

description: Material parameter set
DOI: 10.18419/darus-2229/5
title: P1_TK-A2-HB.csv

description: Material parameter set
DOI: 10.18419/darus-2229
title: User-material for: "A biophysically guided constitutive law of the musculotendon-complex: modelling and numerical implementation in Abaqus"

description: Background and Objective: Many biomedical, clinical, and industrial applications may benefit from musculoskeletal simulations. Three-dimensional macroscopic muscle models (3D models) can more accurately represent muscle architecture than their 1D (line-segment) counterparts. Nevertheless, 3D models remain underutilised in academic, clinical, and commercial environments. Among the reasons for this is a lack of modelling and simulation standardisation, verification, and validation. Here, we strive towards a solution by providing an open-access, characterised, constitutive relation for 3D musculotendon models. Methods: The musculotendon complex is modelled following the state- of-the-art active stress approach and is treated as hyperelastic, transversely isotropic, and nearly incompressible. Furthermore, force-length and -velocity relationships are incorporated, and muscle activation is derived from motor-unit information. The constitutive relation was implemented within the commercial finite-element software package Abaqus as a user-subroutine. A masticatory system model with left and right masseters was used to demonstrate active and passive movement. Results: The constitutive relation was characterised by various experimental data sets and was able to capture a wide variety of passive and active behaviours. Furthermore, the masticatory simulations revealed that joint movement was sensitive to the muscle’s in-fibre passive response. Conclusions: This user-material provides a “plug and play” template for 3D neuro-musculoskeletal finite-element modelling. We hope that this reduces modelling effort, fosters exchange, and contributes to the standardisation of such models.

Information about the parameters can be found in the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=68619"&gt;readme.pdf&lt;/a&gt;
DOI: 10.18419/darus-2229/6
title: vumat_skeletal_muscle.for

description: User material for Abaqus/Explicit (*.for extension for Windows OS and *.f extension for Linux based OS)
DOI: 10.18419/darus-1771/1
title: sampling.py
DOI: 10.18419/darus-1771/2
title: main.py
DOI: 10.18419/darus-1771/3
title: utils.py
DOI: 10.18419/darus-1771/4
title: plotting.py
DOI: 10.18419/darus-1771/5
title: computation.py
DOI: 10.18419/darus-1771/6
title: data.tar.gz

description: Data generated by running the code
DOI: 10.18419/darus-1771
title: Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

description: This dataset contains code used to generate the figures in the paper
&lt;em&gt;On the Universality of the Double Descent Peak in Ridgeless Regression, David Holzmüller, International Conference on Learning Representations 2021&lt;/em&gt;. The code is also provided on &lt;a href=https://github.com/dholzmueller/universal_double_descent&gt;GitHub&lt;/a&gt;. Here, we additionally provide the data that is generated by the code and that is required to generate the plots. To use this data, simply unpack the (large!) file &lt;code&gt;data.tar.gz&lt;/code&gt; inside the folder where the Python files are located. If the data is not downloaded and unpacked, the code will automatically compute it, which can take about one day on a 6-core-CPU. Information on the code and used software can be found in the file README.md.
DOI: 10.18419/darus-1771/7
title: README.md
DOI: 10.18419/darus-1792/1
title: Drop_513_505_60_Hep.mat
DOI: 10.15468/dl.rmf3qy
title: Occurrence Download

description: A dataset containing 514583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Madagascar",
 "GbifRegion is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 514583 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006757-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1792/2
title: Drop_553_508_60_Hep.mat
DOI: 10.18419/darus-1792/3
title: Drop_533_507_60_Hep.mat
DOI: 10.18419/darus-1792/4
title: Drop_513_473_60_Hep.mat
DOI: 10.18419/darus-1792/5
title: Overview.mat
DOI: 10.18419/darus-1792/6
title: Drop_473_473_60_Hep.mat
DOI: 10.18419/darus-1792
title: Data for: Measurement of species concentration and estimation of temperature in the wake of evaporating n-heptane droplets at trans-critical conditions

description: Die vorliegenden Experimente dienen einem besseren Verständnis von Zweiphasenverdampfung und dazugehörigen Phänomenen unter erhöhtem Druck und Temperaturen. Der zu Grunde liegende Messaufbau nutzt eine Druckkammer mit Einlässen für Gas- und Flüssigstoffe, um Tropfen in einer temperatur- und druckkontrollierten Gasphasenumgebung fallen zu lassen. Die Kammer wird dabei durchflossen betrieben, das bedeutet, dass immer ein Gasstrom existiert, der die Umgebungsatmosphäre erneuert. Dadurch wird eine Sättigung der Umgebung durch die verdampfenden Tropfen verhindert. Vier mit Quarzgläsern versehene optische Zugänge, jeweils 90° zueinander im Kreuz angeordnet, erlauben das Einstrahlen von Laserlicht und Aufnehmen mit Kameras. Der Tropfen selbst wird in ein zylindrisches Mischplenum fallen gelassen, in dem er entweder auf reine gasförmige Stoffe (wie z.B. Stickstoff) oder bereits vor gemischte Dampfphasen trifft. Der hierzu notwendige Druck wird mithilfe einer Hochdruckdosierpumpe bzw. einen Membranbalg aufgebaut. Die Flüssigkeit wird anschließend durch einen Ölbad temperierten Injektor, an dessen Ende sich eine Kapillare befindet an der der Tropfen sich bildet, gedrückt. Mit Hilfe einer elektrostatischen Ablösevorrichtung erfolgt eine kontrolliere Ablösung des Tropfens von der Kapillare. Hierfür werden in Epoxidharz gegossene Zündkerzen verwendet, die mit Hochspannung beaufschlagt werden und zusammen mit der Kapillare einen Dipol bilden. Je nach Art der Flüssigkeit, z.B. Polarität oder innerer elektrischer Leitfähigkeit, können verschieden hohe Kräfte auf den Tropfen aufgebracht werden. Dies führt zur kontrollierten und reproduzierbaren Ablösung des Tropfens.&lt;p&gt;

Eine neue Version der Druckzelle am ITLR Stuttgart ist im Aufbau. Diese Zelle wird Drücke bis 80 bar und Temperaturen bis 700 Kelvin aushalten, eine Verbesserung gegenüber den jetzt möglichen 60 bar und 570 Kelvin.&lt;/p&gt;&lt;p&gt;

Zweidimensionale Ramanspektroskopie wurde an einem binären n-Heptan Stickstoffsystem durchgeführt. Dabei sollten quantitative Daten über die Tropenverdampfung an einem fallenden Tropfen gewonnen werden. Ein 532 nm Nd:YAG Laser wird hierfür zu einem 80 µm dicken Lichtschnitt umgeformt und über den fallenden Tropfen geschossen. Das resultierende Ramanstreulicht wird aufgefangen und spektral in zwei Kanäle unterteilt, welche jeweils mit einer Kamera aufgenommen werden. Durch ratiometrische Verarbeitung der Heptan und Stickstoffsignale lassen sich so Rückschlüsse auf die lokale Stoffkonzentration in dem Bildschnitt schließen. Dabei dient der Stickstoffkanal z.B. als Referenz der Einstrahlungsenergie und der lokalen Teilchenanzahldichte. Mehr Details zu dem Experiment und der Messtechnik finden sich in der folgenden Veröffentlichung des SFBs &lt;a href="https://doi.org/10.1016/j.proci.2016.07.037"&gt;doi: 10.1016/j.proci.2016.07.037&lt;/a&gt;.
DOI: 10.18419/darus-1792/7
title: Documentation.pdf
DOI: 10.18419/darus-2111/1
title: Versuchsaufbau.PNG

description: Experimental setup
DOI: 10.18419/darus-2111/2
title: capillary formation Al.PNG

description: capillary formation of a laser welding process in aluminium AlMg3, spot diameter 100 µm
DOI: 10.18419/darus-2111/3
title: capillary formation Cu.PNG

description: capillary formation of a laser welding process in a 1 mm thick sheet of copper Cu K75, spot diameter 100 µm
DOI: 10.18419/darus-2111/4
title: welding process.avi

description: X-ray video of a laser beam welding process in a 1 mm thick sheet of copper Cu K75. P = 8 kW, v = 30 m/min, feed rate = 10000 Hz.
DOI: 10.18419/darus-2111/5
title: Laborbuch_IFSW-21-12.xlsx

description: experimental/evaluation table
DOI: 10.18419/darus-2111/6
title: Maßstab Röntgenaufnahmen_ IFSW-21-12.xlsx

description: scale table X-Ray images
DOI: 10.18419/darus-2111/7
title: Laborbuch_IFSW-21-12.pdf

description: PDF version of Laborbuch_IFSW-21-12.xslx
DOI: 10.18419/darus-2111
title: Data for: "Influence of beam parameters on the capillary formation in partial and full penetration in high speed laser beam welding of metals"
title: Einfluss der Laserschweißparameter auf die Kapillargeometire beim Ein- und Durchschweißen von Metallen

description: In this experiment copper and aluminum were partially and fully penetrated at high speed with a laser beam. The structure as well as the depth of the capillary were filmed with an X-Ray machine. The video footage were used to reconstruct and later ray traced to analyse the thermal efficiency
DOI: 10.18419/darus-2111/8
title: Maßstab_Roentgenaufnahmen_IFSW-21-12.pdf

description: PDF version of Maßstab Röntgenaufnahmen IFSW-2112.xslx
DOI: 10.18419/darus-2126/1
title: Dataset_linlin.tab

description: Data set with curvature optimized geometry parameters for linear-linear transitions for polynomial smoothing with 4th order polynomial splines.
DOI: 10.18419/darus-2126/2
title: cartesian_trajectory_smooth.tab
DOI: 10.18419/darus-2126/3
title: trajectory_fs.tab
DOI: 10.25919/pg9a-h280
title: Enhanced Mundi Hydrogeochemsitry - Data Release

description: This data is for new groundwater samples collected as infill for the CRC LEME Curnamona Hydrogeochemistry sampling campaign (Caritat, P. de, Kirste, D., Dann, R., Evans, T., Schroder, I. and Main, P., 2022. Broken Hill Groundwater and Regolith Geochemistry (1999-2005): Datasets, Metadata and Geochemical Atlases. Record 2022/20. Geoscience Australia, Canberra. https://dx.doi.org/10.11636/Record.2022.020) following the same methods from flowing farm bores.
DOI: 10.18419/darus-2126/4
title: cartesian_trajectory_fs.tab
DOI: 10.18419/darus-2126/5
title: cartesian_trajectory_non_smooth.tab
DOI: 10.18419/darus-2126/6
title: trajectory_non_smooth.tab
DOI: 10.18419/darus-2126/7
title: trajectory_smooth.tab
DOI: 10.18419/darus-2126
title: Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks
title: Optimal Geometry Parameters for Polynomial Corner Smoothing

description: This dataset contains curvature-optimal geometry parameters for linear-linear transitions for polynomial smoothing with polynomial splines 4th order.

The data was generated by offline solving the optimization problem of curvature-optimal geometry parameters for corner smoothing, which is described in the related publication. Dataset_linlin.tab contains optimal geometry parameters for linear-linear transitions. Dataset_lincirc.tab contains the optimal geometry parameters for linear-circular transitions.

These datasets were used to train the neural networks as described in the corresponding publication. 

cartesian_trajectory_non_smooth.tab contains the non-smoothed example trajectory from the corresponding publication. The orientations are RPY (xyz) Euler angles. The velocity is planned to keep the jerk limits.

cartesian_trajectory_smooth.tab contains the smoothed example trajectory from the corresponding publication. The orientations of the trajectory are RPY (xyz) Euler angles. The trajectory was planned using the neural network to determine the optimal geometry parameters. The velocity is planned to keep the jerk limits. 

cartesian_trajectory_fs.tab contains the non-smoothed example trajectory from the corresponding publication. The orientations are RPY (xyz) Euler angles. The velocity profile of the trajectory ignores the jerk boundaries. 

trajectory_non_smooth, trajectory_smooth and trajectory_fs are the corresponding trajectories in the jointspace. These were planned for the Kuka KR500 R3330 with the end effector from the corresponding publication.
description: MATLAB, R2021a
DOI: 10.18419/darus-2126/8
title: Dataset_lincirc.tab
DOI: 10.18419/darus-2208/1
title: mixture_nu0.5_F800N_projections.tar.gz

description: Projection images (360 deg, angle increment 0.25 deg), dark image (di) and open beam image (ob) in 16 bit *.tif file format. Preload F_stat. = 800 N.
DOI: 10.18419/darus-2208/2
title: mixture_nu0.5_F800N_reconstructed.tar.gz

description: Reconstructed micro-XRCT data set in 16 bit *.tif file format. 972x972x768 voxels with the uniform voxel size of 110 µm. Preload F_stat. = 800 N.
DOI: 10.18419/darus-2208/3
title: mixture_nu0.5_F400N_projections.tar.gz

description: Projection images (360 deg, angle increment 0.25 deg), dark image (di) and open beam image (ob) in 16 bit *.tif file format. Preload F_stat. = 400 N.
DOI: 10.18419/darus-2208/4
title: mixture_nu0.5_F400N_reconstructed.tar.gz

description: Reconstructed micro-XRCT data set in 16 bit *.tif file format. 972x972x768 voxels with the uniform voxel size of 110 µm. Preload F_stat. = 400 N.
DOI: 10.18419/darus-2208/5
title: mixture_nu0.5_utm_data.tab

description: From the universal testing machine measured displacement and force during the in situ experiment in *.csv file format.
DOI: 10.18419/darus-2208/6
title: mixture_nu0.5_ultrasonic_data.tar.gz

description: Raw ultrasonic measurement data in *.csv file format. File name schema: rubber volume fraction of the mixture ("nu"); static preload F_stat. in N ("F"); measurement date. Oscilloscope channels: A = receiver transducer signal; B = transmitter transducer signal.
DOI: 10.18419/darus-2208/7
title: mixture_nu0.5_P-wave_moduli.tab

description: Calculated P-wave moduli in *.csv file format based on the ultrasonic measurements ("
mixture_nu0.5_ultrasonic_data.tar.gz ") and the measured displacement ("mixture_nu0.5_utm_data.csv").
DOI: 10.18419/darus-2208
title: micro-XRCT data sets and in situ measured ultrasonic wave propagation of a pre-stressed monodisperse rubber and glass particle mixture with 50% volume rubber content

description: This dataset contains two micro X-ray Computed Tomography (micro-XRCT) data sets from scans of the identical cylindrical sample (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The sample consists of monodisperse soft (rubber) and stiff (glass) particles mixture. Both particles have an identical diameter of 4 mm. The volume fraction of the rubber particles is 50 %. The scan was performed in a low X-ray absorbing transparent oedometer cell with an integrated pair of P-wave ultrasonic transducers to determine in situ the sample stiffness based on wave propagation velocity measurements. On both sides, the wave travels through a 10 mm long Poly (methyl methacrylate) (PMMA) pre-run and after-run section, before and after the wave enters and leaves the sample.
&lt;br&gt;&lt;br&gt;
The prepared sample inside the oedometer cell was uniaxially compressed in axial direction in subsequent force increments from F_stat. = 200 N to F_stat. = 1000 N (force-controlled) using a Universal Testing Machine (UTM) integrated into the XRCT system. At each force level, the system was relaxed for some time at the defined force to compensate the creep behavior of the soft particles. Subsequently, ultrasonic wave propagation measurements were performed at five different load levels, F_stat. = {200, 400, 600, 800, 1000} N. micro-XRCT scans were acquired in situ at F_stat. = {400, 800} N. For this, it was switched from force-controlled to displacement-controlled to avoid creeping and an eventual movement of the particles during the imaging. 
&lt;br&gt;&lt;br&gt;
In this data set, the reconstructed 3d volumes ("mixture_nu0.5_F400N_reconstructed.tar.gz" and "mixture_nu0.5_F800N_reconstructed.tar.gz"), as well as the projection images ("mixture_nu0.5_F400N_projections.tar.gz" and "mixture_nu0.5_F800N_projections.tar.gz") for both preloads are given. The raw ultrasonic measurement data (transducer signals over time) is provided for all five preloads ("mixture_nu0.5_ultrasonic_data.tar.gz"), before and after the force-controlled relaxation, as an averaged signal of a stack of 32 signals. The file "mixture_nu0.5_utm_data.csv" contains the measured axial force and displacement from the UTM during the whole experiment. Based on the measured displacement of the UTM, the current mixture length was determined. In the file “mixture_nu0.5_P-wave_moduli.csv” the final calculated P-wave moduli for the different preload levels are contained.
description: Ruf, M. and Taghizadeh, K. contributed equally.
DOI: 10.18419/darus-2208/8
title: mixture_nu0.5_ultrasonic_data.tar.gz

description: Raw ultrasonic measurement data in *.csv file format. File name schema: rubber volume fraction of the mixture ("nu"); static preload F_stat. in N ("F"); measurement date. Oscilloscope channels: A = receiver transducer signal; B = transmitter transducer signal.
DOI: 10.15468/dl.a8tuhr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coelachne ghatica Naik"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006792-241107131044228/datasets/export for details.
DOI: 10.18419/darus-2218/1
title: dichasus-0d51.tfrecords

description: First complete run of vacuum robot. Gain is 4dB higher than in 0d53-0d57.
DOI: 10.18419/darus-2218/2
title: dichasus-0d52.tfrecords

description: Second complete run of vacuum robot. Gain is 4dB higher than in 0d53-0d57.
DOI: 10.5281/zenodo.14059744
title: Surface Evolution of the Belvedere Glacier from aerial and UAV orthophotos from 1951 to 2023  - glacier outlines dataset
DOI: 10.5281/zenodo.14059745
title: Surface Evolution of the Belvedere Glacier from aerial and UAV orthophotos from 1951 to 2023  - glacier outlines dataset
DOI: 10.18419/darus-2218/3
title: dichasus-0d53.tfrecords

description: Third complete run of vacuum robot. Gain is 4dB lower than in 0d51 and 0d52.
DOI: 10.18419/darus-2218/4
title: dichasus-0d54.tfrecords

description: Fourth complete run of vacuum robot. Gain is 4dB lower than in 0d51 and 0d52.
DOI: 10.18419/darus-2218/5
title: dichasus-0d55.tfrecords

description: Fifth complete run of vacuum robot. Gain is 4dB lower than in 0d51 and 0d52.
DOI: 10.18419/darus-2218/6
title: dichasus-0d56.tfrecords

description: Sixth complete run of vacuum robot. Gain is 4dB lower than in 0d51 and 0d52.
DOI: 10.18419/darus-2218/7
title: dichasus-0d57.tfrecords

description: Seventh complete run of vacuum robot. Gain is 4dB lower than in 0d51 and 0d52.