cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35097/1129
title: GUARD autosampler - Print-outs

description: Diese Datei im dwg-Format enthält 3D-Modelle für drei zentrale Bestandteile des im zugehörigen Zeitschriftenaufsatz präsentierten automatisierten Fluid-Probenehmers "GUARD": 1) Das Probengestell für 160 Septum-versiegelte Labco Exetainer Glasfläschchen, 2) die Halterung für die Doppelkanüle und 3) das Verbindungselement zwischen dem Servo für die Bewegungen in Z-Richtung und dem Schlitten für Bewegungen in Y-Richtung.
DOI: 10.35097/1538
title: Generating synthetic laser scanning data of forests by combining inventory information, a tree point cloud database and an open-source laser scanning simulator [Data to reproduce simulations]

description: We combine forest inventory information, a tree point cloud database and the open-source laser scanning simulation framework HELIOS++ to generate synthetic laser scanning data of forests. Airborne laser scanning data of six 1-ha plots in temperate, central European forests was simulated and compared to real ALS data of these plots. The synthetic 3D representations of the forest stands were composed of real ALS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns, both in form of penetrable point clouds and with an impenetrable surface. This dataset includes the HELIOS++ data files to reproduce the simulations: - the height normalized original ALS point clouds - the synthetic forest stand point clouds - soil layers - scene files - survey files
description: This dataset includes files for HELIOS++ (version 1.0.7).
DOI: 10.35097/1337
title: Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator [Data to reproduce the ALS simulations]

description: This dataset includes files to reproduce HELIOS++ airborne laser scanning simulations of six 1-ha plots in temperate forests in south-western Germany. In addition, the real ALS data of the same plots is provided. Synthetic 3D representations of the plots were created based on forest inventory information. They were composed of real ULS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns. This dataset includes all files required to run the HELIOS++ simulations, including the synthetic forest stand point clouds, soil layers, scene files, and survey files. The simulation output can then be compared to the real ALS data which is also provided.
description: This dataset includes files for HELIOS++ (version 1.1.0)
DOI: 10.35097/1297
title: Graphite lubrication of highly loaded contacts: humidity-dependent friction and structural transition to turbostratic carbon

description: Konfokal-, REM- und TEM-Bilder; Reibungsdaten; Verschleißdaten; EELS-Daten
DOI: 10.35097/1421
title: Heat transfer and pressure drop data of a turbulent tube flow of water and GaInSn with azimuthally inhomogeneous heat flux

description: In diesem Beitrag werden experimentelle Daten für den Wärmeübergang und den Druckverlust einer turbulenten Rohrströmung von Wasser und der Flüssigmetalllegierung GaInSn mit azimutal homogener und inhomogener Verteilung des Wärmestroms bereitgestellt. Für den inhomogenen Fall wurde der Wärmestrom nur über den halben äußeren Rohrumfang aufgeprägt. Die Reynolds-Zahl der Strömung wurde für Wasser im Bereich $5\cdot10^3 &lt; Re_{Wasser} &lt;4.2\cdot10^4$ und für GaInSn im Bereich $8\cdot10^3 &lt; Re_{GaInSn} &lt; 1\cdot10^5$ variiert.
description: In this contribution experimental data of heat transfer and pressure drop for a turbulent tube flow of water and the liquid metal alloy GaInSn, with azimuthally homogeneous and inhomogeneous heat flux distribution is provided. For the inhomogeneous case, the heat flux was only applied over the half of the tube's outer circumference. The Reynolds number of the flow was varied for water in the range of $5\cdot10^3 &lt; Re_{Water} &lt;4.2\cdot10^4$ and for GaInSn $8\cdot10^3 &lt; Re_{GaInSn} &lt; 1\cdot10^5$.
description: Raw and analyzed data for the heat transfer and pressure drop for a turbulent tube flow of water and the liquid metal alloy GaInSn summarized in an excel file.
DOI: 10.35097/1305
title: High-Resolution Real-World Electricity Data from Three Microgrids in the Global South

description: Microgrids are a promising solution for providing electricity access to rural populations in the Global South. To ensure such microgrids are affordable and effective, careful planning and dimensioning is required. Numerous tools exist to assist with this planning and dimensioning, however, they generally require microgrid electricity data, such as load profiles, as an input. Unfortunately, such electricity data is scarce for microgrids in the Global South and the little data that is available has a low temporal resolution. Therefore, we introduce high resolution real-world electricity data from three microgrids in the global south. The data is collected from microgrids in the Democratic Republic of Congo, Rwanda, and Haiti, and has a temporal resolution of up to five seconds. Furthermore, we include data from both residential and industrial microgrids, and consider microgrids with renewable generation from hydropower and photovoltaic arrays. We describe and analyse the characteristics of the recorded data and show how it can be used to derive flexible load profiles with varying temporal resolutions, useful for affordable microgrid planning and dimensioning.
description: This dataset was published as part of a paper submitted at the "International Workshop on Energy Data and Analytics" at ACM e-Energy 2022 with the title "High Resolution Real-World Electricity Data from Three Microgrids in the Global South" in which the data set is described. Further explanations can be found in the file "Symbols_Units_Explanations".
DOI: 10.35097/1223
title: Hourly data of evapotranspiration of Graswang and Fendt for 2013 and 2014

description: Further details can be found in this publication: Mauder, M., Genzel, S., Fu, J., Kiese, R., Soltani, M., Steinbrecher, R., Kunstmann, H., Zeeman, M., Banerjee, T., Roo, F. De, De Roo, F., Kunstmann, H. and Zeeman, M.: Evaluation of energy balance closure adjustment methods by independent evapotranspiration estimates from lysimeters and hydrological simulations, Hydrol. Process., 32(October), 39–50, doi:10.1002/hyp.11397, 2018.
DOI: 10.35097/1171
title: ICON model simulations for publication "Cloud-radiative impact on the regional responses of the mid-latitude jet streams and storm tracks to global warming"

description: The simulations were performed with the atmospheric component of the ICON model. The model was run with the physics package used for numerical weather prediction (version 2.1.00) and with R2B04 horizontal resolution (approximately 160km) with 47 levels extending up to 75km. A time step of 720s was used. We used a present-day setup and the cloud-locking method to determine the impact of cloud-radiative changes. For the cloud-locked simulations, the number after T (sea-surface temperature) and C (cloud-radiative properties) are - 1 for the control simulation (CTL) - 2 for the uniform SST increase (UNI) - 3 for the patterned SST increase (PAT) # 4d (time-lev-lat-lon) data free clouds - ICON-NWP_AMIP_free_3d_mm.nc (control simulation) - ICON-NWP_AMIP4K_free_3d_mm.nc (uniform 4K SST increase) - ICON-NWP_AMIPFuture_free_3d_mm.nc (patterned SST increase) locked clouds - ICON-NWP_AMIP_T?C?_3d_mm.nc Files contain monthly-mean data for 30 years (free clouds) and 29 years (locked clouds), respectively. The first simulated year is excluded from the files (spin-up period). # Partial Radiative Perturbation Calculation - ICON-NWP_prp_T1C1_vs_T1C2_3d_mm.nc (PRP for uniform SST increase) - ICON-NWP_prp_T1C1_vs_T1C3_3d_mm.nc (PRP for patterned SST increase) Files contain monthly-mean data for 29 years. The first simulated year is excluded from the files (spin-up period). # storm track data - st_ICON-NWP_AMIP_T?C?_geopot500.nc: time-mean storm track (mean over all years) - st_T?C?_1980to2008.nc: time series of annual-mean storm track data - st_ICON-NWP_AMIP_T?C?_geopot500_DJF.nc: time-mean storm track for DJF season (mean over all years) - st_T?C?_1980to2008_DJF.nc: time series of DJF storm track data -&gt; analogously for MAM, JJA, SON
DOI: 10.35097/1217
title: ICON model simulations for publication "The role of tropical, midlatitude and polar cloud-radiative changes for the midlatitude circulation response to global warming"

description: The simulations were performed with the atmospheric component of the ICON model. The model is run with the physics package used for numerical weather prediction (version 2.1.00). The simulations are performed in R2B04 horizontal resolution (approximately 160km) with 47 levels extending up to 75km. A time step of 720s is used. We use a present-day setup and the cloud-locking method to determine the impact of regional cloud-radiative changes in the tropics, midlatitudes and polar region. This data has to be used together with 10.5445/IR/1000094317 (ICON model simulations for publication "Cloud-radiative impact on the regional responses of the midlatitude jet streams and storm tracks to global warming") to determine both the role of global and regional cloud-radiative changes. The numbers after T (sea-surface temperature) and C (cloud-radiative properties) in the cloud-locked simulations are - 1 for the control simulation - 2 for the simulation with a uniform SST increase. For the regional cloud-radiative changes, the number after C refers to the cloud-radiative properties in region reg - TR for tropics (30S-30N) - ML for midlatitudes (30N-60N, 30S-60S) - PO for polar regions (60N-90N, 60S-90S) T1C2TR means, for example, that we use C2 clouds in the tropics and C1 clouds in the midlatitudes and polar regions. # 4d (time-lev-lat-lon) data - ICON-NWP_AMIP_T?C?reg_3d_mm.nc The files contain monthly-mean data for 29 years. # storm track (lat-lon) data - st_ICON-NWP_AMIP_T?C?reg_geopot500.nc: time-mean storm track (mean over all years) - st_T?C?reg_1980to2008.nc: time series of annual-mean storm track data - st_ICON-NWP_AMIP_T?C?reg_geopot500_DJF.nc: time-mean storm track for DJF season (mean over all years) - st_T?C?reg_1980to2008_DJF.nc: time series of DJF storm track data -&gt; analogously for MAM, JJA, SON # transient and stationary components of eddy momentum flux and eddy heat flux, (time-lev-lat-lon) data ICON-NWP_AMIP_T?C?_vT_uv_stationary_transient_mm.nc (global cloud changes) ICON-NWP_AMIP_T?C?reg_vT_uv_stationary_transient_mm.nc (regional cloud changes) Variables: - vTtrans: eddy heat flux, transient component - uvtrans: eddy momentum flux, transient component - vTstat: eddy heat flux, stationary component - uvstat: eddy momentum flux, stationary component The files contain monthly-mean data for 29 years.
DOI: 10.35097/1139
title: ICON-ART AWiCiT Simulation Data

description: The data are the netcdf outputs from ICON-ART simulations. Except for interpolation from native ICON grid to Cartesian coordinates, no post-processing has been applied. Meta data of the variables are contained within the files. For scenarios 'REF', 'SEED', and 'TRGT', output is available hourly for a 24 hours period. Output for sensitivity studies is available only for simulation hour 24 in files 'DIA_...'. With referring to seeding aerosol diameter and numbers referring to seeding aerosol peak number concentrations in ascending order.
DOI: 10.35097/1239
title: ICON related information for publication "Increasing resolution and resolving convection improves the simulation of cloud‐radiative effects over the North Atlantic" by Senf et al., JGR-Atmospheres, 2020

description: ICON related information for publication "Increasing resolution and resolving convection improves the simulation of cloud‐radiative effects over the North Atlantic" by Senf et al., JGR-Atmospheres, 2020, more details given in the included README file
DOI: 10.35097/1135
title: INAS density values for desert dust and soot

description: (geometric) INAS density as a function of temperature and ice saturation ratio in m-2 as shown in Figures 2 and 4 in Ullrich et al. (2017)
DOI: 10.35097/1116
title: INP and aerosol size distribution data from the FIN02 campaign in March 2015

description: DeMott_et_al_FIN-02_AMTpaper_directproc_datatable.csv and DeMott_et_al_FIN-02_AMTpaper_postproc_datatable.csv data table from DeMott et al. (2018), AMT, Supplement Table 1 and 2, resp. DeMott_et_al_FIN-02_AMTpaper_*.txt are the corresponding descriptions for the datatables DeMott_et_al_FIN-02_AMTpaper_asd_AIDA12_-648.csv: AIDA aerosol size distribution for experiment 12 and DeMott_et_al_FIN-02_AMTpaper_asd_APC12.zip: APC aerosol size distribution for experiment 12 as shown in Figure 2
DOI: 10.35097/1312
title: Ice-free tropical waterbelt during Snowball Earth events questioned by uncertain clouds – Dataset and analysis scripts

description: This archive contains A) the data and B) the analysis scripts corresponding to the manuscript “Ice-free tropical waterbelt during Snowball Earth events questioned by uncertain clouds” by Christoph Braun [1], Johannes Hörner [2], Aiko Voigt [2], and Joaquim G. Pinto [1] [1] IMK-TRO, Karlsruhe Institute of Technology [2] IMG, University of Vienna Please contact Christoph Braun (christoph.braun@kit.edu) or Aiko Voigt (aiko.voigt@univie.ac.at) if you have questions regarding the content of this archive. A) Data The dataset contains postprocessed model output data produced with the general circulation models “Community Atmosphere Model v3.1” (CAM) from the National Center for Atmospheric Research, Boulder, Colorado, and “ICOsahedral Nonhydrostatic” model with the climate physics package (version AES 1.3.00) from the Max-Planck Institute of Meteorology, Hamburg, Germany. The dataset contains - 2d data for all simulations and 3d data for selected simulations; zonal-mean and global-mean monthly-mean and climatological data (format: netcdf) - initial and boundary conditions (format: netcdf) - runscripts (located in the subdirectories corresponding to each model) - analysis code The data is organized in 5 subdirectories, each corresponding to one of the following model configurations. - CAM - CAM pCOOKIE - CAM pCOOKIE subtropical columns - ICON - ICON WBF We describe how we obtained and modified CAM and ICON in the files “CAM_description” and “ICON_description”. We also provide the runscripts for the conducted simulations. We further describe the postprocessing steps performed with CDO in the file “Postprocessing_CDO”. B) Analysis scripts The analysis scripts are located in the subdirectory “analysis_scripts”. The directory "analysis" will contain intermediate results generated by the analysis scripts and the directory "figures" will contain the figures generated by the analysis scripts. To run the analysis scripts we applied the following libraries as provided by the German Climate Computing Center (DKRZ) using the Kernel „ESMValTool“. * xarray (0.17.0) * numpy (1.20.1) * matplotlib (3.3.4) * scipy (1.5.3) * cftime (1.2.1) * pandas (1.2.2) * statsmodels (0.12.2)
DOI: 10.35097/1488
title: Identifying Digitalization Trends in Global Production Networks - A Python Data Mining Tool

description: Diese Software erlaubt das halbautomatische Analysieren bestehender Veröffentlichungen zum Thema Globale Produktionsnetzwerke mit Schwerpunkt Digitalisierung. Die Software erlaubt die Auswertung dieser Paper um thematische Trends zu identifizieren.
description: This software allows the semi-automatic analysis of existing publications on the topic of global production networks with a focus on digitization. The software allows the evaluation of these papers in order to identify thematic trends.
description: DE: Zur Ausführung wird Jupyter Notebook benötigt und die in der requirements.txt angegebenen Abhängigkeiten. Die Ausführung wird im Notebook erläutert und erfolgt top-down. ENG: Jupyter Notebook and the dependencies specified in the requirements.txt are required for execution. The execution is explained in the notebook and takes place top-down.
DOI: 10.35097/1804
title: Impact of electrolyte impurities and SEI composition on battery safety

description: Li-ion batteries have a potential risk of thermal runaway. Current safety evaluations in academia and industry rely on experiments or semi-empirical simulations. This limits the understanding of processes leading to or occurring during thermal runaway, and how chemical species and impurities can impact them. The limited (quantitative) understanding in turn hinders a holistic safety assessment and optimisation of countermeasures through design or operation. The here presented thermal-runaway model contains a detailed degradation reaction network, which allows the impact of chemical species and impurities on thermal runaway to be studied. We set a particular focus on water impurities and solid-electrolyte interphase (SEI) properties, as both are known to impact life-time of batteries. SEI composition and thickness change during ageing, which is shown here to impact battery safety significantly. The model can reproduce reported experimental behaviour: aged cells are more safe, as they start self-heating, i.e. heat production without an external heat source, at 15–20 °C higher temperatures than fresh cells. Our model suggests a thick inorganic, and thus less reactive SEI as the underlying cause. Furthermore, we could show that extensive electrode drying to remove water impurities before building battery cells will not significantly improve safety characteristics. In contrast, electrodes not subjected to any drying procedure cause an earlier start of the self-heating phase, i.e. have a higher risk of thermal runaway. These insights into the sensitivity to thermal runaway allow robust methods to be tailored for its prevention, from controlling battery and SEI properties during production to adjusting safety assessment for effects of ageing.
description: The published source data file contains the underlying data of all figures of the manuscript of the publication “Impact of electrolyte impurities and SEI composition on battery safety”. The source data of each figure is presented in a single sheet named after the corresponding figure. Legends are given if required. Numerical details: The model was implemented in MATLAB R2022a and differential equations were solved with the ode15s solver. The calculations were performed on an i7-9750H CPU with 16 GB RAM. For detailed information on the modelling approach see the Method section in the manuscript and the Supplementary Information.
DOI: 10.35097/1200
title: Implementation of Robust/Fault-Tolerant Secure Logging Scheme described in "Practical and Robust Secure Logging from Fault-Tolerant Sequential Aggregate Signatures" (International Conference on Provable Security, 2017, DOI: 10.1007/978-3-319-68637-0_6)

description: # Secure logging from fault-tolerant aggregate signatures ## Information This is a simple implementation of the logging system described in "Practical and Robust Secure Logging from Fault-Tolerant Sequential Aggregate Signatures" (International Conference on Provable Security, 2017, [also available from the IACR E-Print-Server](https://eprint.iacr.org/2017/949)). ## Disclaimer This is an academic implementation used for benchmarking in the paper. Since this is the only purpose, this impelmentation is not well tested and reviewed for security and therefore should be used with caution. ## Used libraries - Boost unit test framework - [libpbc](https://crypto.stanford.edu/pbc/) with [pbcwrapper](https://crysp.uwaterloo.ca/software/PBCWrapper/) - [NTL](http://www.shoup.net/ntl/) ## Build instructions Make sure that boost, libpbc and NTL are installed. (The versions of libpbc and NTL used for the benchmarks reported in the paper can be found in the lib folder.) Then run: ``` mkdir build cd build cmake .. make ``` pbcwrapper will be built automatically during this process.
DOI: 10.35097/1180
title: Implementation of the Attacks on the BM-FssAgg and AR-FssAgg Signature Schemes

description: This publication contains the implementation of the attacks on the BM-FssAgg and AR-FssAgg cryptographic signature schemes. These attacks were published and presented at the Financial Cryptography Conference 2017.
description: The implementation is written for the computer algebra System [SageMath](https://www.sagemath.org). It was developed with SageMath version 6.7. The code can be configured by editing the variables at the start of the file. To run the code, simply execute the file with the SageMath interpreter.
DOI: 10.35097/1228
title: Implementations of Algorithms from the Thesis "Timing Sensitive Dependency Analysis and its Application to Software Security"

description: In der Dissertation "Timing Sensitive Dependency Analysis and its Application to Software Security" präsentiere ich neue Verfahren zur statischen Analyse von Ausführungszeit-sensitiver Informationsflusskontrolle in Softwaresystemen. Ich wende diese Verfahren an zur Analyse nebenläufiger Java-Programme, sowie zur Analyse von Ausführungszeit-Seitenkanälen in Implementierungen kryptographischer Primitive. In diesem VirtualBox Maschinen-Abbild stelle ich Implementierungen aller neuen Algorithmen dieser Dissertation bereit, zusammen mit randomisierten Test-Eigenschaften für alle formalen Observationen der Dissertation.
description: In my thesis "Timing Sensitive Dependency Analysis and its Application to Software Security", I present new methods for the static analysis of timing sensitive information flow control in software systems. I apply these methods in the analysis of concurrent Java programs, as well as the analysis of timing side-channels in implementations of cryptographic primitives. In this VirtualBox machine image, I provide Implementations for all new Algorithms of my thesis, and randomized test properties for all formal Observations in the thesis.
description: This is the artifact corresponding to the thesis "Timing Sensitive Dependency Analysis and its Application to Software Security" by Martin Hecker The Virtual Box virtual machine image ```dissertation-vm``` can be used by logging in via user: ```hecker``` password: ```hecker``` In the users home directory, you will find in * ```randomized-tests.git/``` — in the language Haskell — both implementations of the submission's algorithms, and randomized tests that verify the submission's Observations. * ```randomized-tests.git/src/test/Program/Properties/DissObservations.hs``` contains the randomized tests corresponding to the dissertations Observations. The results can be reproduces within the virtual machine image by help of the provided shell runners. From the users home directory, run * ```./randomized-tests``` to once run all randomized tests except those marked 'slow', which are randomized tests that may run several minutes some randomized inputs. * ```./randomized-tests-slow``` to once run all those randomized tests marked 'slow'. * ```./randomized-tests-forever``` or ```./randomized-tests-slow-forever``` to run the randomized tests forever, only terminating if there was found a counter-example to the submission's Observations.
DOI: 10.35097/1571
title: In Process Porosity Detection Dataset by Means of Optical Measurement Technology in PBF-LB/M by wbk Institute of Production Science

description: # In-Process Porosity Detection Dataset by Means of Optical Measurement Technology in PBF-LB/M Please see provided Jupyter Notebook "README" for further information.
DOI: 10.35097/1572
title: In Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS - Part 1

description: # In-Process Porosity Detection Dataset by Means of Structure-Borne Acoustic Emission Measurement Technology in PBF-LB/M by wbk Institute of Production Science and ZEISS Please see provided Jupyter Notebook "README" for further information. This dataset is part 1 of 2.