cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1217
title: 2D pictures of KR19-20

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: gyro rotor
DOI: 10.18419/darus-1217/3
title: 00004018.JPG
DOI: 10.18419/darus-1245/1
title: TM_radio_noise_raw.tab

description: Raw measured data.
DOI: 10.18419/darus-1245/2
title: TotalResult_2_5_deg_interpolation.tab

description: Interpolated values over the whole mission.
DOI: 10.18419/darus-1245
title: Radio Noise Measurement Flying Laptop (2018-2021)

description: S-Band Signal Automatic Gain Control (SAGC) measurements of TC receiver with timestamp and position data (based on TLE propagation) of Flying Laptop. The timestamps are available as UTC in milliseconds (Unix epoch) or as local time (if available). The SAGC values corresponds to the mean value at that position. For further information of the project: &lt;a href="https://www.kleinsatelliten.de/"&gt;https://www.kleinsatelliten.de/&lt;/a&gt; . 
&lt;br&gt;
&lt;br&gt;
The raw data can be found in TM_radio_noise_raw.tab. The processed data can be found in TotalResult_2_5_deg_interpolation.tab. A calibration of the received Power can be found in SAGC_Power_Calibration.tab. See process for a more detailed Description.
description: The launch and operations of the Flying Laptop satellite has been
supported by the Federal Ministry for Economic Affairs and Energy of
Germany (BMWi) via the German Space Agency DLR and the ministry of economy, science and art of Baden-Württemberg.
DOI: 10.18419/darus-1245/3
title: SAGC_Power_Calibration.tab

description: Calibration Data for SAGC values.
DOI: 10.18419/darus-1368/1
title: 03_IMG_0630.jpg
DOI: 10.18419/darus-1368/2
title: 01_IMG_0633.jpg
DOI: 10.18419/darus-1368
title: 2D pictures of DM_LN3_open

description: &lt;p&gt;Dataset contains all pictures (.jpg) 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: aircraft technology
DOI: 10.18419/darus-1368/3
title: 02_IMG_0631.jpg
DOI: 10.18419/darus-1369/1
title: 01_IMG_0629.jpg
DOI: 10.18419/darus-1369/2
title: 02_IMG_0626.jpg
DOI: 10.18419/darus-1369
title: 2D pictures of DM_LN3_closed

description: &lt;p&gt;Dataset contains all pictures (.jpg) 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: aircraft technology
DOI: 10.18419/darus-1369/3
title: 03_IMG_0627.jpg
DOI: 10.18419/darus-1459/1
title: fluoro-decanethiolate.zip
DOI: 10.18419/darus-1459/2
title: amino-undecanthiolate.zip
DOI: 10.18419/darus-1459
title: Publication data for: "Evaporation and Fragmentation of Organic Molecules in Strong Electric Fields Simulated with DFT" - data from Kästner group

description: All primary data files and processed data of the journal article from Kästner group. Turbomole input and output files for all calculations used in the paper, one directory per case.
DOI: 10.18419/darus-1459/3
title: sulfur.zip
DOI: 10.18419/darus-1508/1
title: bigcluster.zip
DOI: 10.18419/darus-1508/2
title: D-glucose.zip
DOI: 10.18419/darus-1508/3
title: a-D-glucopyranose.zip
DOI: 10.15468/dl.arcm7a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apus apus (Linnaeus, 1758)",
 "Year is 23",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003377-241107131044228/datasets/export for details.
DOI: 10.18419/darus-3590/1
title: pmma_indirect_3.csv
DOI: 10.18419/darus-3590/2
title: pmma_indirect_2.csv
DOI: 10.18419/darus-3590/3
title: pmma_indirect_1.csv
DOI: 10.18419/darus-3593/1
title: direct_compression_pmma_1.tab
DOI: 10.18419/darus-3593/2
title: direct_compression_pmma_2.tab
DOI: 10.18419/darus-3593/3
title: direct_compression_pmma_3.tab
DOI: 10.18419/darus-3594/1
title: 3_HeadOnCollisions_SimulationSetups.tab

description: List of performed simulations with the relevant setup data.
DOI: 10.18419/darus-3594/2
title: 1_RegimemapData.tab

description: Regime map data: The tabulated data represent the material properties, the impact conditions, the separation mechanism as well as the non-dimensional quantities of all experiments and simulations relevant for the associated publication.
DOI: 10.18419/darus-3594
title: Simulation and Experimental data on liquid distribution after the head-on separation of immiscible liquid droplet collisions

description: This dataset provides three tables: 1) Regime map data: The tabulated data represent the material properties, the impact conditions, the separation mechanism as well as the non-dimensional quantities of all experiments and simulations relevant for the associated publication. 2) The tabulated data of the points corresponding to the figures in the associated publication which were also highlighted in the regime maps. 3) A list of performed simulations which provides the relevant setup data.
DOI: 10.18419/darus-3594/3
title: 2_FigureData.tab

description: Tabulated data of the points corresponding to the figures in the associated publication which were also highlighted in the regime maps
DOI: 10.18419/darus-3595/1
title: SiSPAT-isotope.tar.gz
DOI: 10.18419/darus-3595/2
title: SiSPAT-Isotope_2001.pdf

description: SiSPAT-Isotope user's manual
DOI: 10.18419/darus-3595
title: SiSPAT-Isotope code for modelling stable water isotopologue transport within soils

description: &lt;p&gt;SiSPAT-Isotope source code to reproduce the results presented in J. Schneider, S. Kiemle, K. Heck, Y. Rothfuss, I. Braud, R. Helmig, J. Vanderborght (2024) Analysis of experimental and simulation data of evaporation-driven isotopic fractionation in unsaturated porous media. Vadose Zone Journal, e20363.&lt;/p&gt;

&lt;p&gt;SiSPAT is a one-dimensional numerical model of water and energy fluxes in the soil-plant-atmosphere continuum. The extension SiSPAT-Isotope allows to sequentially solve the transport of stable water isotopologues and their fractionation behaviour in soils. The source code is stored in the files &lt;b&gt;Sispat_isotope_it.f&lt;/b&gt; and&lt;b&gt; Subrsispat_isotope_it.f&lt;/b&gt;. &lt;/p&gt;

&lt;p&gt;With &lt;code&gt;gfortran Sispat_isotope_it.f&lt;/code&gt; the program is executed. The file &lt;b&gt; nomfich.dat &lt;/b&gt; contains all input and output files used in the simulation and is read into &lt;b&gt;Sispat_isotope_it.f&lt;/b&gt;.&lt;/p&gt;
description: This application requires a Fortran compiler which is able to read Fortran77, ideally the simply fortran compiler, to execute the source code. 

An introduction to how SiSPAT is operated can be found in the user's manual (Braud, I., 2000. SiSPAT User’s manual, Version 3.0, 106 pp.). For access, download the provided user's manual. For more information, please contact Isabelle Braud or Youri Rothfuss. Additional information about the extension-package SiSPAT-isotope can be found in I. Braud, T. Bariac, J.P. Gaudet, M. Vauclin, SiSPAT-Isotope, a coupled heat, water and stable isotope (HDO and H218O) transport model for bare soil. Part I. Model description and first verifications, Journal of Hydrology, 2005, https://doi.org/10.1016/j.jhydrol.2004.12.013. 

More information is found here: https://soil-modeling.org/resources-links/model-portal/sispat
DOI: 10.18419/darus-3595/3
title: SiSPAT_Manual_2000.pdf

description: SiSPAT user's manual
DOI: 10.18419/darus-3676/1
title: POREMAPS_benchmarks.tar.gz
DOI: 10.18419/darus-3676/2
title: POREMAPS_applications.tar.gz
DOI: 10.18419/darus-3676
title: POREMAPS 1.0.0: Code, Benchmarks, Applications

description: Initial release 1.0.0 for POREMAPS, PORous Media Anisotropic Permeability Solver for Stokes flow including benchmarks and applications according to Krach et al. (2024). POREMAPS is a Finite Difference Method (FDM) -based parallized Stokes flow solver using MPI, specifically designed to process large binarized 3D image datasets of porous media such as X-Ray Computed Tomography (XRCT) images. 
&lt;br /&gt;
&lt;br /&gt;
This repository contains three blocks, namely code, input data, and results for flow simulations in porous materials with respect to evolving anisotropies, all related to the publication Krach et al. (2024):
&lt;br /&gt;
&lt;ul&gt;
&lt;li&gt; &lt;b&gt;POREMAPS_code.tar.gz&lt;/b&gt; &lt;br /&gt;
Release 1.0.0 for POREMAPS, a FDM-based PORous Media Anisotropic Permeability Solver for Stokes flow. POREMAPS is a free and open-source simulator for computing permeability tensors of porous materials from binary image data. The compressed file contains the source code, a concise manual, and tools for post-processing. The code is also available via the &lt;a href="https://git.rwth-aachen.de/david.krach/poremaps"&gt;git repository&lt;/a&gt;.
&lt;/li&gt;
&lt;br /&gt;
&lt;li&gt; &lt;b&gt;POREMAPS_benchmarks.tar.gz&lt;/b&gt; &lt;br /&gt; 
The benchmarks file includes input geometries and input files for the solver for Poiseuille flow, channel flow, flow through regular sphere packings, in flat, pseudo-3D domains, and around ellipsoids. Also included are the resulting velocity and pressure fields as well as information on neighborhood and domain decomposition. Input files are text files and have &lt;i&gt;.inp&lt;/i&gt; file extension. Voxel-based computer-generated input geometries and results are provided as &lt;i&gt;RAW&lt;/i&gt; image files.&lt;/li&gt;
&lt;br /&gt;
&lt;li&gt;&lt;b&gt;POREMAPS_applications.tar.gz&lt;/b&gt; &lt;br /&gt; 
The applications contain binarized data for the applications discussed in Krach et al. (2024). These include 18 data sets on uniaxially compressed foams and 139 data sets on clogging porous structures. The former is generated by micro-XRCT and comprises 6 snapshots for different uniaxial compression states. The second data set contains image-based geometries of calcite precipitation in micromodels. The original data set is published in &lt;a href="https://doi.org/10.18419/darus-1799"&gt;Weinhardt et al. (2022)&lt;/a&gt;. &lt;/li&gt;
&lt;/ul&gt;
&lt;br /&gt;
All data sets are prepared in such a way that they are in accordance with the boundary conditions specified in the input files. This applies in particular to the applications that have been mirrored to meet periodic boundary conditions. Voxel size, convergence criterion, etc. can be found in the corresponding input files. Preprocessing also includes the removal of non-interconnected pores so that the specified porosity corresponds to the effective porosity.
&lt;br /&gt;
DOI: 10.18419/darus-3676/3
title: POREMAPS_code.tar.gz
DOI: 10.18419/darus-3735/1
title: MB16_aeroacoustics_simplifiedHMC.tgz

description: Geometry files for the test case MB16.
DOI: 10.18419/darus-3735/2
title: README-MB16.pdf

description: README file in PDF format
DOI: 10.18419/darus-3735
title: exaFOAM Microbenchmark MB16 - Simplified HMC aeroacoustics vehicle

description: This case has been developed as is part of the exaFOAM project that aims to enable the open-source CFD software OpenFOAM to exploit massively parallel HPC architectures and overcome performance scaling bottlenecks. The geometry files represent a simplified vehicle at nominally 1/3rd scale, with non-complex geometry: stub wheels, smooth underbody, generically inclined vehicle front, and with flat roof, sides and rear. The only geometric complexity comprises the side-view mirror and rounded A-Pillar, which are taken from production vehicles in order to measure the realistic aerodynamic and acoustic perturbations in the wake of these components (nominally the vehicle side-glass). Detailed information and case setup can be found in the README PDF file or the README.md file contained in the case setup file.
description: OpenFOAM, v2212
description: The case setup in DaRUS is a snapshot (commit 5d09c299f067b15c2efd0adaf7a6e3fee56b3c73) from the code repository of the OpenFOAM High Performance Computing Technical Committee
https://develop.openfoam.com/committees/hpc/-/tree/develop/compressible/rhoPimpleFoam/LES/simplifiedHMCAeroacousticVechicle
DOI: 10.18419/darus-3735/3
title: MB16_case_setup.tgz

description: MB16 case setup and readme file with instructions for execution.
DOI: 10.15468/dl.zarz74
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year is 38",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003380-241107131044228/datasets/export for details.
DOI: 10.18419/darus-3736/1
title: README-B7.pdf

description: README file in PDF format
DOI: 10.18419/darus-3736/2
title: B7_aeroacoustics_DrivAer.tgz

description: Geometry file for the test case B7
DOI: 10.18419/darus-3736
title: exaFOAM Industrial Benchmark B7 - Aeroacoustics DrivAer derivative

description: This case has been developed as is part of the exaFOAM project that aims to enable the open-source CFD software OpenFOAM to exploit massively parallel HPC architectures and overcome performance scaling bottlenecks. This industrial test case is of direct interest to Stakeholders GM and Audi (VW Group). It comprises the now ubiquitous DrivAer geometries which combine the front and rear portions of production vehicles. This derivative geometry is setup to be compatible with the requirements of aeroacoustics simulation in OpenFOAM. The geometry comprises of static wheels, suspension and brake assembly, detailed underbody, and simplified under-hood. Detailed information and case setup can be found in the README-B7.pdf file or the README.md file contained in the case setup file.
description: OpenFOAM, v2306
description: The case setup in DaRUS is a snapshot (commit 5d09c299f067b15c2efd0adaf7a6e3fee56b3c73) from the code repository of the OpenFOAM High Performance Computing Technical Committee https://develop.openfoam.com/committees/hpc/-/tree/develop/compressible/rhoPimpleFoam/LES/aeroacousticDrivAer
DOI: 10.18419/darus-3736/3
title: B7_case_setup.tgz

description: B7 case setup and readme file with instructions for execution.
DOI: 10.18419/darus-3737/1
title: B9_aerodynamics_DrivAer.tgz

description: Geometry files for the test case B9.
DOI: 10.18419/darus-3737/2
title: README-B9.pdf

description: README file in PDF format
DOI: 10.18419/darus-3737
title: exaFOAM Industrial Benchmark B9 - DrivAer ExtAero derivative

description: This case has been developed as part of the exaFOAM project that aims to enable the open-source CFD software OpenFOAM to exploit massively parallel HPC architectures and overcome performance scaling bottlenecks. This derivative of geometry, provided by the exaFOAM Stakeholder Audi, is a production ready case in geometry detail. The vehicle contains production-ready design-level details in respect of external surface resolution, under-hood and underbody detail, brake and suspension, wheels with spokes and treaded tyres. We specifically reserve this production-ready design-level configuration to the execution, profiling and performance of any new solvers developed. Detailed information and case setup can be found in the README-B9.pdf file or the README.md file contained in the case setup file.
description: OpenFOAM, v2306
description: The case setup in DaRUS is a snapshot (commit 5d09c299f067b15c2efd0adaf7a6e3fee56b3c73) from the code repository of the OpenFOAM High Performance Computing Technical Committee https://develop.openfoam.com/committees/hpc/-/tree/develop/incompressible/pimpleFoam/LES/aerodynamicsDrivAer
DOI: 10.18419/darus-3737/3
title: B9_case_setup.tgz

description: B9 case setup and readme file with instructions for execution.
DOI: 10.18419/darus-3249/1
title: linear.rar

description: Dissolved and total contaminant concentration data generated with the linear sorption isotherm.
DOI: 10.18419/darus-3249/2
title: langmuir.rar

description: Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm.
DOI: 10.18419/darus-3249
title: Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network

description: &lt;p&gt;This dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir isotherms. This dataset is used to train, validate, and test all the deep learning models that are used in the publication "Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network". The dataset for each sorption isotherm includes the dissolved and total contaminant concentration data, as well as spatial coordinates and timestamps that correspond to the concentration data.&lt;/p&gt;

More detailed information is also provided in our Github repository (&lt;a href="https://github.com/CognitiveModeling/finn"&gt;https://github.com/CognitiveModeling/finn&lt;/a&gt;) and our submitted paper to the Water Resources Research journal.
DOI: 10.18419/darus-3249/3
title: freundlich.rar

description: Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm.
DOI: 10.5284/1122712
title: Digital data from an excavation at Soho Loop, Dudley Road, Birmingham, 2020-2023

description: This collection comprises site photographs, photogrammetry, CAD, GIS, text and spreadsheet data from an archaeological excavation carried out by Wessex Archaeology between September and December 2020. Wessex Archaeology was commissioned by RPS Consulting, on behalf of Soho Loop Ltd, to conduct this excavation covering 0.17 hectares at the site of a late 19th century German Silver Works and late 18th century Glassworks at Soho Loop, Dudley Road, Birmingham, B18 718.
DOI: 10.18419/darus-3251/1
title: [1]-Contrastive-Websites.zip

description: Pre-processed files from Contrastive Website Dataset.
DOI: 10.18419/darus-3251/2
title: [2]-Gaze-Mining.zip

description: Pre-processed files from Gaze-Mining dataset.
DOI: 10.18419/darus-3251
title: Website Screenshot to Eye-Gaze

description: This dataset contains unified datasets that consist of two pre-processed datasets of Gaze-Mining and Contrastive-Website to allow for the development of Machine Learning based model Eye-Gaze location predictions using Website Screenshot Input.
DOI: 10.18419/darus-3251/3
title: [3]-FiWI.zip

description: Pre-processed files of FiWI datset.
DOI: 10.18419/darus-3283/1
title: Quality Assurance.csv

description: The quality assurance form for grey literature studies in CSV format
DOI: 10.18419/darus-3283/2
title: Quality Assurance.ods

description: The quality assurance form for grey literature studies in OpenOffice format
DOI: 10.18419/darus-3283
title: Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations

description: Forms that estimate the quality of candidate grey literature studies to be included in the multi-vocal literature review entitled, "Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review".
DOI: 10.18419/darus-3283/3
title: Quality Assurance.xlsx

description: The quality assurance form for grey literature studies in MS Excel format
DOI: 10.18419/darus-3296/1
title: dat.txt
DOI: 10.18419/darus-3296/2
title: Quantumfluctuations.nb