cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1179/20
title: CE_Optimierung_i_ce.m
DOI: 10.18419/darus-1179/21
title: lsim_parameters.m
DOI: 10.18419/darus-1179/22
title: janus_strategy_OnOffAlpha.m
DOI: 10.18419/darus-1179/23
title: Simulation_Janus_mitGrav.m
DOI: 10.18419/darus-1179
title: Supplementary material for the paper "Control effort for microswimmers"

description: Supplementary Material. The Matlab scripts were used to create the data (i.e. particle trajectories with different optimisations) for the Paper "The control effort to steer self-propelled microswimmers depends on their morphology: comparing circular and linear movement of symmetric spherical vs. asymmetric L-shaped particles" in Royal Society Open Science, published 2021-09-29. To reproduce data see file "File_overview.pdf" for short explanation of the matlab scripts and their dependencies.
description: MATLAB, 2016a
DOI: 10.18419/darus-1179/24
title: File_overview.pdf

description: This file lists all matlab scripts and shows their dependencies upon each other, which are needed to reproduce the data.
DOI: 10.18419/darus-3576/1
title: fenics-adapter-1.4.0.tar.gz

description: preCICE adapter for the FEM library FEniCS
DOI: 10.18419/darus-3576/2
title: python-bindings-2.5.0.1.tar.gz

description: Python language bindings of preCICE
DOI: 10.18419/darus-3576/3
title: libprecice2_2.2.5_docs_v202211.0.0-3.pdf

description: Offline PDF version of the preCICE documentation
DOI: 10.18419/darus-3576/4
title: precice-2.5.0.tar.gz

description: The actual coupling library
DOI: 10.18419/darus-3576/5
title: vm-202211.0.0.tar.gz

description: Vagrant box with preCICE and examples preinstalled
DOI: 10.18419/darus-3576/6
title: su2-adapter-ab84387.tar.gz

description: preCICE adapter for the CFD code SU2
DOI: 10.18419/darus-3576/7
title: dealii-adapter-dbb25be.tar.gz

description: Coupled elasticity solver written with the FEM library deal.II
DOI: 10.18419/darus-3576/8
title: tutorials-202211.0.tar.gz

description: Tutorial cases for preCICE with real solvers
DOI: 10.18419/darus-3576/9
title: ci-images-f48c7e8.tar.gz

description: Docker recipes and scripts for CI
DOI: 10.18419/darus-3576/10
title: code_aster-adapter-ce995e0.tar.gz

description: preCICE adapter for the FEM code code_aster
DOI: 10.18419/darus-3576/11
title: precice.github.io-202211.0.0.tar.gz

description: preCICE website including documentation sources
DOI: 10.18419/darus-3576/12
title: config-visualizer-60f2165.tar.gz

description: Tool to visualize preCICE configuration files
DOI: 10.18419/darus-3576/13
title: aste-3.0.0.tar.gz

description: Collection of tools to mimic actual solvers for testing and reproduction
DOI: 10.18419/darus-3576/14
title: fortran-module-9e3f405.tar.gz

description: Fortran module for the Fortran language bindings of preCICE
DOI: 10.18419/darus-3576/15
title: matlab-bindings-2.5.0.0.tar.gz

description: MATLAB language bindings of preCICE
DOI: 10.18419/darus-3576/16
title: openfoam-adapter-1.2.0.tar.gz

description: preCICE adapter for the CFD code OpenFOAM
DOI: 10.6084/m9.figshare.27646764
title: 数据集

description: 时序数据预测数据集
DOI: 10.18419/darus-3576/17
title: calculix-adapter-2.20.0.tar.gz

description: preCICE adapter for the FEM code CalculiX
DOI: 10.18419/darus-3576/18
title: PreCICE.jl-2.5.0.tar.gz

description: Julia language bindings of preCICE
DOI: 10.18419/darus-3576/19
title: dune-adapter-5f2364d.tar.gz

description: Coupled elasticity solver written with the FEM module of DUNE
DOI: 10.18419/darus-3576
title: preCICE Distribution Version v2211.0

description: The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. &lt;br&gt;&lt;br&gt;

The compressed source files of this data set are only meant to archive &lt;a href="https://precice.org/installation-distribution.html#v22110"&gt;this specific version v2211.0&lt;/a&gt; of the distribution and make it citable. If you want to use preCICE, please follow the information on the &lt;a href="https://precice.org/index.html"&gt;preCICE website&lt;/a&gt;.&lt;br&gt;&lt;br&gt; 

For your first steps in preCICE, we particularly recommend the &lt;a href="https://precice.org/installation-vm.html"&gt;virtual machine&lt;/a&gt;, which contains all packages of the preCICE distribution, many supported solvers, and more useful tools.
DOI: 10.18419/darus-3576/20
title: README.md
DOI: 10.18419/darus-4094/1
title: install_fftw_hpx.sh
DOI: 10.18419/darus-4094/2
title: install_fftw_threads_mpi.sh
DOI: 10.18419/darus-4094/3
title: CMakeLists.txt
DOI: 10.18419/darus-4094/4
title: install_fftw_omp_mpi.sh
DOI: 10.18419/darus-4094/5
title: fftw_mpi_threads.cpp
DOI: 10.18419/darus-4094/6
title: vector_2d.hpp
DOI: 10.18419/darus-4094/7
title: fft_hpx_task_sync_shared.cpp
DOI: 10.18419/darus-4094/8
title: LICENSE
DOI: 10.18419/darus-4094/9
title: fftw_mpi_omp.cpp
DOI: 10.18419/darus-4094/10
title: fft_hpx_task_shared.cpp
DOI: 10.18419/darus-4094/11
title: fft_hpx_task_agas_shared.cpp
DOI: 10.18419/darus-4094/12
title: fft_hpx_loop.cpp
DOI: 10.18419/darus-4094/13
title: fftw_hpx.cpp
DOI: 10.18419/darus-4094/14
title: distributed_benchmark.sh
DOI: 10.15468/dl.m4k39r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelophylax esculentus (Linnaeus, 1758)",
 "Year is 2",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006947-241107131044228/datasets/export for details.
DOI: 10.18419/darus-4094/15
title: fft_hpx_task_agas.cpp
DOI: 10.18419/darus-4094/16
title: fft_hpx_task_naive_shared.cpp
DOI: 10.18419/darus-4094/17
title: fft_hpx_loop_shared.cpp
DOI: 10.18419/darus-4094/18
title: shared_benchmark.sh
DOI: 10.18419/darus-4094/19
title: README.md
DOI: 10.18419/darus-4094
title: Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study

description: &lt;p&gt;The source code and benchmark scripts related to "Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study".&lt;/p&gt; 
&lt;p&gt;This paper conducts a case study of the multidimensional Fast Fourier Transform to identify which applications will benefit from the asynchronous many-task model. Our basis is the popular FFTW library. We use the asynchronous many-task model HPX and a one-dimensional FFTW backend to implement multiple versions using different HPX features and highlight overheads and pitfalls during migration. Furthermore, we add an HPX threading backend to FFTW. 
The case study analyzes shared memory scaling properties between our HPX-based parallelization and FFTW with its pthreads, OpenMP, and HPX backends. The case study also compares FFTW's MPI+X backend to a purely HPX-based distributed implementation.&lt;/p&gt;

&lt;p&gt;Find more information how to run the code and scripts in the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=286287"&gt;README.md&lt;/a&gt;.&lt;/p&gt;
DOI: 10.18419/darus-4094/20
title: compile.sh
DOI: 10.18419/darus-4113/1
title: qnn.py

description: Structure of QNN implementations.
DOI: 10.18419/darus-4113/2
title: utils.py

description: General utility functions.
DOI: 10.18419/darus-4113/3
title: quantum_gates.py

description: Collection of various quantum gates implemented using pytorch for the QNN implementations.
DOI: 10.18419/darus-4113/4
title: pt_train.py

description: The QNN training routines that are used in the experiments.
DOI: 10.18419/darus-4113/5
title: exp_inf_random.zip

description: Raw experiment results for the experiments shown in Figure 2.
DOI: 10.18419/darus-4113/6
title: cuda_qnn.py

description: Collection of various QNN implementations. For the paper the implementation UnitaryParametrization is used.
DOI: 10.18419/darus-4113/7
title: plot_obs_risks.py

description: Main entry points for plotting figures from the paper.
DOI: 10.18419/darus-4113/8
title: data_extraction.py

description: Analyzes raw experiment data to compute means and standard deviation of various metrics.
DOI: 10.18419/darus-4113/9
title: plot_random.pdf

description: Figure 2: Average risk of QNNs that are trained with training samples of varying Schmidt
rank r comprised of randomly sampled Schmidt basis vectors.
DOI: 10.18419/darus-4113/10
title: data_extended.py

description: Functions for generating training data of various structures.
DOI: 10.18419/darus-4113/11
title: exp_inf_random.py

description: Experiment entry point for the experiment in Section 4.3/Figure 2.
DOI: 10.18419/darus-4113/12
title: sampling_error_extension.py

description: Functions/Classes required for training with observables/training by sampling from measurements.
DOI: 10.18419/darus-4113/13
title: exp_inf_coeffvariation.py

description: Experiment entry point for the experiment in Section 4.2/Figure 1.
DOI: 10.18419/darus-4113/14
title: risk.py

description: Utility functions for computing risk.
DOI: 10.18419/darus-4113/15
title: experiment.py

description: General experiment code. Trains networks and outputs the trained network.
DOI: 10.18419/darus-4113/16
title: requirements.txt

description: Python requirements for experiments.
DOI: 10.18419/darus-4113/17
title: plot_coeffvariation.pdf

description: Figure 1: Average risk of QNNs that are trained with training samples of varying Schmidt
rank r and varying coefficient c_1 for the Schmidt basis state |γ⟩ = U^†|o⟩.
DOI: 10.18419/darus-4113/18
title: exp_inf_coeffvariation.zip

description: Raw experiment results for the experiments shown in Figure 1.
DOI: 10.18419/darus-4113/19
title: exp_setup.py

description: General setup code for experiments - is imported in the experiment entry points.
DOI: 10.18419/darus-4113
title: Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"

description: &lt;p&gt;Replication code and experiment result data for training Quantum Neural Networks with entangled data using one-dimensional projectors as observables.
This is the version of the code that was used to generate the experiment results in the related publication. &lt;/p&gt;

&lt;p&gt;&lt;b&gt;Experiments&lt;/b&gt;:&lt;br /&gt;
- &lt;code&gt;exp_inf_coeffvariation.py&lt;/code&gt;: Trains QNNs using training samples of varying Schmidt rank with fixed vector as Schmidt basis state. Varies the associated Schmidt coefficient.&lt;br /&gt;
- &lt;code&gt;exp_inf_random.py&lt;/code&gt;: Trains QNNs using random training data.&lt;br/&gt;
&lt;/p&gt;

&lt;p&gt;
&lt;b&gt;Experiment results:&lt;/b&gt;&lt;br /&gt;
- &lt;code&gt;exp_inf_coeffvariation.zip&lt;/code&gt; and &lt;code&gt;exp_inf_random.zip&lt;/code&gt; contain the raw experiment results for both experiments.&lt;br /&gt;
- For each combination of controlled variables there is one directory containing the result of all 20 runs of the training process.&lt;br /&gt;
- The results for each run are comprised of 3 files: &lt;br /&gt;
  - &lt;code&gt;[id]_losses.npy&lt;/code&gt;: The loss during the training process&lt;br /&gt;
  - &lt;code&gt;[id]_params.npy&lt;/code&gt;: The parameters of the QNN after the training process.&lt;br /&gt;
  - &lt;code&gt;[id]_V.npy&lt;/code&gt;: The trained QNN exported as a 2^4 * 2^4 unitary matrix.
&lt;/p&gt;

&lt;p&gt;
&lt;b&gt;Analysis of data&lt;/b&gt; (&lt;code&gt;data_extraction.py&lt;/code&gt;):&lt;br /&gt;
- Computes means and standard deviation of various risk measures and saves the results
&lt;/p&gt;

&lt;p&gt;
&lt;b&gt;Plots&lt;/b&gt; (&lt;code&gt;plot_obs_risk.py&lt;/code&gt;):&lt;br /&gt;
- Plots the risk w.r.t. the observable for both experiments based on the analysed data obtained from &lt;code&gt;data_extraction.py&lt;/code&gt;.&lt;br /&gt;
- Generates &lt;code&gt;plot_coeffvariation.pdf&lt;/code&gt; and &lt;code&gt;plot_random.pdf&lt;/code&gt;.
&lt;/p&gt;
DOI: 10.18419/darus-4113/20
title: unitaries.zip

description: Unitary matrices (as pytorch files) that were used as target operators in the experiments.
DOI: 10.18419/darus-4431/7
title: find-center-deployment.py
DOI: 10.18419/darus-4431/1
title: find-center-rl.py
DOI: 10.18419/darus-4431/10
title: prolate-analysis.ipynb
DOI: 10.18419/darus-4431/2
title: find-center-deployment.py
DOI: 10.18419/darus-4431/4
title: find-center-rl.py
DOI: 10.18419/darus-4431/6
title: oblate-analysis.ipynb
DOI: 10.18419/darus-4431/8
title: find-center-rl.py
DOI: 10.18419/darus-4431/11
title: setup.sh
DOI: 10.18419/darus-4431/12
title: recursive-submit.sh
DOI: 10.18419/darus-4431/3
title: submit.sh
DOI: 10.18419/darus-4431/5
title: setup.sh
DOI: 10.18419/darus-4431/9
title: setup.sh
DOI: 10.18419/darus-4431/13
title: sphere-analysis.ipynb
DOI: 10.18419/darus-4431/14
title: find-center-deployment.py
DOI: 10.18419/darus-4431/15
title: chemotaxis-analysis-checkpoint.ipynb
DOI: 10.18419/darus-4431/16
title: recursive-submit.sh
DOI: 10.18419/darus-4431/17
title: policy-statistics.ipynb
DOI: 10.18419/darus-4431/18
title: submit.sh
DOI: 10.18419/darus-4431/19
title: recursive-submit.sh
DOI: 10.18419/darus-4431/20
title: submit.sh
DOI: 10.18419/darus-1063/1
title: 00009917.JPG
DOI: 10.18419/darus-1063/2
title: 00009908.JPG
DOI: 10.18419/darus-1063/3
title: 00009913.JPG
DOI: 10.18419/darus-1063/4
title: 00009906.JPG
DOI: 10.18419/darus-1063/5
title: 00009916.JPG
DOI: 10.15468/dl.d5yrar
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lissotriton vulgaris (Linnaeus, 1758)",
 "Year is 2",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006948-241107131044228/datasets/export for details.
DOI: 10.18419/darus-1063/6
title: 00009907.JPG
DOI: 10.18419/darus-1063/7
title: 00009922.JPG
DOI: 10.18419/darus-1063/8
title: 00009909.JPG
DOI: 10.18419/darus-1063/9
title: 00009904.JPG
DOI: 10.18419/darus-1063/10
title: 00009921.JPG
DOI: 10.18419/darus-1063/11
title: 00009920.JPG
DOI: 10.18419/darus-1063/12
title: 00009923.JPG
DOI: 10.18419/darus-1063/13
title: 00009911.JPG
DOI: 10.18419/darus-1063/14
title: 00009910.JPG
DOI: 10.18419/darus-1063/15
title: 00009912.JPG
DOI: 10.18419/darus-1063/16
title: 00009914.JPG
DOI: 10.18419/darus-1063/17
title: 00009903.JPG
DOI: 10.18419/darus-1063/18
title: 00009915.JPG
DOI: 10.18419/darus-1063/19
title: 00009905.JPG
DOI: 10.18419/darus-1063/20
title: 00009919.JPG
DOI: 10.18419/darus-1063
title: 2D pictures of GO03-09

description: &lt;p&gt;Dataset contains all pictures (.jpg; .arw) that were taken during the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=49056&version=DRAFT"&gt;2D digitisation strategy&lt;/a&gt; for this object.&lt;/p&gt; &lt;p&gt;Order of data: object was digitised according to a digitisation schema visible within the Dataset&lt;/p&gt;&lt;ul&gt;&lt;li&gt;characteristic view,&lt;/li&gt; &lt;li&gt;front view,&lt;/li&gt; &lt;li&gt;left view,&lt;/li&gt; &lt;li&gt;back view,&lt;/li&gt; &lt;li&gt;right view,&lt;/li&gt;&lt;li&gt;bottom view,&lt;/li&gt; &lt;li&gt;upward view, &lt;/li&gt;&lt;li&gt;details (details 1, details 2, ..., details n)&lt;/li&gt;&lt;/ul&gt;&lt;p&gt; This schema is indicated within the pictures by inventory label and then labels according to view.&lt;/p&gt;&lt;p&gt; Further information one can find in the document: Setting and workflow for basic development of 2D.&lt;/p&gt;&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: large objects
DOI: 10.18419/darus-1063/21
title: 00009918.JPG
DOI: 10.18419/darus-1193/1
title: 00008760.JPG
DOI: 10.18419/darus-1193/2
title: 00008761.JPG
DOI: 10.18419/darus-1193/3
title: 00008769.JPG
DOI: 10.18419/darus-1193/4
title: 00008768.JPG
DOI: 10.18419/darus-1193/5
title: 00008754.JPG
DOI: 10.18419/darus-1193/6
title: 00008756.JPG
DOI: 10.18419/darus-1193/7
title: 00008755.JPG
DOI: 10.18419/darus-1193/8
title: 00008763.JPG
DOI: 10.18419/darus-1193/9
title: 00008773.JPG
DOI: 10.18419/darus-1193/10
title: 00008772.JPG
DOI: 10.18419/darus-1193/11
title: 00008770.JPG
DOI: 10.18419/darus-1193/12
title: 00008767.JPG
DOI: 10.18419/darus-1193/13
title: 00008762.JPG
DOI: 10.18419/darus-1193/14
title: 00008759.JPG
DOI: 10.18419/darus-1193/15
title: 00008774.JPG
DOI: 10.18419/darus-1193/16
title: 00008765.JPG
DOI: 10.18419/darus-1193/17
title: 00008766.JPG
DOI: 10.18419/darus-1193/18
title: 00008757.JPG
DOI: 10.18419/darus-1193/19
title: 00008771.JPG
DOI: 10.18419/darus-1193/20
title: 00008764.JPG
DOI: 10.18419/darus-1193
title: 2D pictures of SO48-09

description: &lt;p&gt;Dataset contains all pictures (.jpg; .arw) that were taken during the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=49056&version=DRAFT"&gt;2D digitisation strategy&lt;/a&gt; for this object.&lt;/p&gt; &lt;p&gt;Order of data: object was digitised according to a digitisation schema visible within the Dataset&lt;/p&gt;&lt;ul&gt;&lt;li&gt;characteristic view,&lt;/li&gt; &lt;li&gt;front view,&lt;/li&gt; &lt;li&gt;left view,&lt;/li&gt; &lt;li&gt;back view,&lt;/li&gt; &lt;li&gt;right view,&lt;/li&gt;&lt;li&gt;bottom view,&lt;/li&gt; &lt;li&gt;upward view, &lt;/li&gt;&lt;li&gt;details (details 1, details 2, ..., details n)&lt;/li&gt;&lt;/ul&gt;&lt;p&gt; This schema is indicated within the pictures by inventory label and then labels according to view.&lt;/p&gt;&lt;p&gt; Further information one can find in the document: Setting and workflow for basic development of 2D.&lt;/p&gt;&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: miscellaneous
DOI: 10.18419/darus-1193/21
title: 00008758.JPG
DOI: 10.18419/darus-1196/1
title: 00009847.JPG
DOI: 10.18419/darus-1196/2
title: 00009845.JPG
DOI: 10.18419/darus-1196/3
title: 00009844.JPG
DOI: 10.18419/darus-1196/4
title: 00009849.JPG
DOI: 10.18419/darus-1196/5
title: 00009838.JPG
DOI: 10.18419/darus-1196/6
title: 00009842.JPG
DOI: 10.18419/darus-1196/7
title: 00009854.JPG
DOI: 10.18419/darus-1196/8
title: 00009850.JPG
DOI: 10.18419/darus-1196/9
title: 00009855.JPG
DOI: 10.18419/darus-1196/10
title: 00009841.JPG
DOI: 10.18419/darus-1196/11
title: 00009851.JPG
DOI: 10.18419/darus-1196/12
title: 00009852.JPG
DOI: 10.18419/darus-1196/13
title: 00009843.JPG
DOI: 10.18419/darus-1196/14
title: 00009853.JPG
DOI: 10.18419/darus-1196/15
title: 00009837.JPG
DOI: 10.18419/darus-1196/16
title: 00009836.JPG
DOI: 10.18419/darus-1196/17
title: 00009846.JPG
DOI: 10.18419/darus-1196/18
title: 00009839.JPG
DOI: 10.18419/darus-1196/19
title: 00009840.JPG
DOI: 10.15468/dl.9fqsjt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "Year is 3",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006949-241107131044228/datasets/export for details.
DOI: 10.18419/darus-1196/20
title: 00009835.JPG
DOI: 10.18419/darus-1196
title: 2D pictures of SO34-09

description: &lt;p&gt;Dataset contains all pictures (.jpg; .arw) that were taken during the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=49056&version=DRAFT"&gt;2D digitisation strategy&lt;/a&gt; for this object.&lt;/p&gt; &lt;p&gt;Order of data: object was digitised according to a digitisation schema visible within the Dataset&lt;/p&gt;&lt;ul&gt;&lt;li&gt;characteristic view,&lt;/li&gt; &lt;li&gt;front view,&lt;/li&gt; &lt;li&gt;left view,&lt;/li&gt; &lt;li&gt;back view,&lt;/li&gt; &lt;li&gt;right view,&lt;/li&gt;&lt;li&gt;bottom view,&lt;/li&gt; &lt;li&gt;upward view, &lt;/li&gt;&lt;li&gt;details (details 1, details 2, ..., details n)&lt;/li&gt;&lt;/ul&gt;&lt;p&gt; This schema is indicated within the pictures by inventory label and then labels according to view.&lt;/p&gt;&lt;p&gt; Further information one can find in the document: Setting and workflow for basic development of 2D.&lt;/p&gt;&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: miscellaneous
DOI: 10.18419/darus-1196/21
title: 00009848.JPG
DOI: 10.18419/darus-1235/1
title: 00009882.JPG
DOI: 10.18419/darus-1235/2
title: 00009883.JPG
DOI: 10.18419/darus-1235/3
title: 00006004.JPG
DOI: 10.18419/darus-1235/4
title: 00009874.JPG
DOI: 10.18419/darus-1235/5
title: 00009871.JPG
DOI: 10.18419/darus-1235/6
title: 00009876.JPG
DOI: 10.18419/darus-1235/7
title: 00009880.JPG
DOI: 10.18419/darus-1235/8
title: 00006006.JPG
DOI: 10.18419/darus-1235/9
title: 00009885.JPG
DOI: 10.18419/darus-1235/10
title: 00006007.JPG
DOI: 10.18419/darus-1235/11
title: 00006005.JPG
DOI: 10.18419/darus-1235/12
title: 00009878.JPG
DOI: 10.18419/darus-1235/13
title: 00009877.JPG
DOI: 10.18419/darus-1235/14
title: 00009873.JPG
DOI: 10.18419/darus-1235/15
title: 00009872.JPG
DOI: 10.18419/darus-1235/16
title: 00009886.JPG
DOI: 10.18419/darus-1235/17
title: 00009875.JPG
DOI: 10.18419/darus-1235/18
title: 00009879.JPG
DOI: 10.18419/darus-1235/19
title: 00009881.JPG
DOI: 10.18419/darus-1235/20
title: 00009884.JPG