The Research Data Management Plan (RDMP) of the priority program SPP 2170 is the formal document that should help to mangage the handling of data. Since enormous amounts of research data (Big Data) will be generated, the exchange and access to the data should be ensured. Every experiment in the laboratory, or every simulation generates huge amounts of unstructured data. To make these findable, accessible, interoperable, and reusable (FAIR), discipline-specific criteria must be defined in addition to the hardware and software that form the general platform. Therefore the RDMP of the DFG-funded priority program SPP2170 describes how this information could be processed in the future.

All primary data files of measurements and processed data of the journal article "Comparative study of lattice parameter and pore size of ordered mesoporous silica materials using physisorption, SAXS measurements and transmission electron microscopy", are deposited. File types which are not easily readable have been converted to other formats, i.e. TIF and TXT, and have been deposited additionally. PDH files may be opened with the same applications as TXT files. The dataset contains the following data: nitrogen physisorption measurements, small-angle X-ray scattering curves, transmission electron micrographs. The data is named according to the sample name. A short description of the samples is given in the following: OMS_TLCT: Ordered mesoporous silica material synthesized via true liquid crystal templating with hexadecylethyldimethylammonium chloride as surfactant MCM-41: Ordered mesoporous silica material synthesized via a cooperative self-assembly process with hexadecyltrimethylammonium chloride as surfactant SBA-15: Ordered mesoporous silica material synthesized via a cooperative self-assembly process with the poloxamer P123 as surfactant SBA-15_sa: Ordered mesoporous silica material synthesized via a cooperative self-assembly process with the poloxamer P123 as surfactant and n-decane as swelling agent

The Dumux source code is provided in a docker container, which compiles and produces an executable, which models heat transport and water flow from the atmosphere to the subsurface. The needed boundary and initial conditions for four locations, modeled in our paper "Vadose Zone Journal Submission VZJ-2023-06-0046-OA" are provided and can be calculated.

Videos showing water molecules at a sodium chloride (NaCl) solid surface for different water content. The force field for the water is TIP4P/epsilon (https://doi.org/10.1021/jp410865y), and the force field for the ions is from Loche et al. (https://doi.org/10.1021/acs.jpcb.1c05303). The trajectories have been generated using the GROMACS simulation package, and the videos have been created using VMD.

This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. This dataset is intended to progress the scientific ML research area. In general, the data are stored in HDF5 format, with the array dimensions packed according to the convention [b,t,x1,...,xd,v], where b is the batch size (i.e. number of samples), t is the time dimension, x1,...,xd are the spatial dimensions, and v is the number of channels (i.e. number of variables of interest). More detailed information are also provided in our Github repository (https://github.com/pdebench/PDEBench) and our submitting paper to NeurIPS 2022 Benchmark track.

Dataset contains all pictures (.jpg; .arw) that were taken during the 2D digitisation strategy for this object. Order of data: object was digitised according to a digitisation schema visible within the Datasetcharacteristic view, front view, left view, back view, right view,bottom view, upward view, details (details 1, details 2, ..., details n) This schema is indicated within the pictures by inventory label and then labels according to view. Further information one can find in the document: Setting and workflow for basic development of 2D.This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 2021, "Information about the Gyrolog data repository", doi: 10.18419/darus-821, DaRUS.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'", doi: 10.18419/darus-gyrolog, DaRUS.

These measurements are taken in the subsurface at the pilot site next to the weather station of the University of Stuttgart and used to calibrate and validate our pde-based model. The subsurface has been instrumented with 64 temperature sensors, 8 soil moisture sensors. There are four locations, having different soil and soil cover layers. Soil moisture is measured at 60 cm and 100 cm depth, Temperature at 30, 60, 75, 100 cm. At drinking water pipe location, there are two sensors. Column description is to be found in a readme.txt file

The videos provided show experimental results of the cooperative object transportation using mobile robots with on-board force control. In particular, the mobile robots shall transport four different polygonal, but non-convex, objects along predefined paths. The distributed formation synthesis explicitly takes the robots' maximum pushing force into account such that a closed-set manipulation space in terms of a zonotope follows. This zonotopic manipulation space, following from the Minkoswki sum of the individual manipulation capabilities of the robots, is visualized in the fifth video (Visualization_Fig4a.mp4) using data from the corresponding hardware experiment (Rectangle_N4_square.mp4). Novelly, a lightweight quadratic program runs on each robot and determines in a decentralized manner the desirable individual pushing forces suitable to transport the object. These pushing forces are then governed by means of hybrid position-force controllers running at 100 Hz. As for formation finding, no central entity is used for control purposes. The tasks are accomplished in a purely distributed manner using inter-robot communication. For each robot, the pushing force is measured using a self-designed force-sensing unit mounted on board of each mobile robot. In the videos, the direction of the uniaxial and unilateral force sensor is indicated by white rectangles. Moreover, the measured force is visualized by red rectangles superimposed onto the white ones.

Sixteen protein sequences for enzymes with known activity against polyethylene terephthalate (PET) were clustered using CD-HIT to derive a reduced set of twelve centroid sequences. These twelve protein sequences were aligned in a structure-guided multiple sequence alignment by T-COFFEE. A profile hidden Markov model (HMM) was derived from this multiple sequence alignment by HMMER.

Data and scripts to reproduce the plots in the paper. Data is separated into two directories: Surfaces: All data for rebuilding the surfaces rnd-plots: Data to reproduce the rnd plots The scripts, once run, will produce the plots in the paper.

Fatalities with semi-automated vehicles typically occur when users are engaged in non-driving related tasks (NDRTs) that compromise their situational awareness (SA). This work developed a tactile display for on-body notification to support situational awareness, thus enabling users to recognize vehicle automation failures and intervene if necessary. We investigated whether such tactile notifications support "event detection'' (SA-L1) or 2 "anticipation'" (SA-L3). Using a simulated automated driving scenario, a between-groups study contrasted SA-L1 and SA-L3 tactile notifications that respectively displayed the spatial positions of surrounding traffic or future projection of the automated vehicle's position. Our participants were engaged in an NDRT, i.e., an Operation Span Task that engaged visual working memory (WM) resources. They were instructed to intervene if the tactile display contradicted the driving scenario, thus indicating vehicle sensing failures. On a single critical trial, we introduced a failure that could have resulted in a vehicle collision. SA-L1 tactile displays of potential collision targets resulted in less subjective workload on the NDRT than SA-L3, which indicated the vehicle's future actions. These findings and qualitative questionnaire suggest that the simplicity of SA-L1 display required less mental resources, which allowed participants to better interpret sensing failures in vehicle automation. We make available data on intervention performance (distance, Maximum intensity, Time to Collision), WM performance (Attention and WM interference), qualitative questionnaire (NASA-TLX and SART), together with subjective questions from the semistructured interview and Unity VR environment.

Release 3.7.0 of DuMux, DUNE for Multi-{Phase, Component, Scale, Physics, ...} flow and transport in porous media. DuMux is a free and open-source simulator for flow and transport processes in and around porous media. It is based on the Distributed and Unified Numerics Environment DUNE.

This dataset contains the proposed sphingolipid rheostat model with mass-action kinetics and a proposed negative feedback from ceramide to its synthesis from Sphinganine. The model is written in the Systems Biology Markup Language (SBML) and with the experimental data, experimental conditions, parameters, and observables part of the PEtab paramter estimation problem. The PEtab problem was used to infer the parameters from the experimental data in a reproducible manner. It is uploaded with the scripts to execute the estimation and process the simulation results. Further, the estimated model parameters and model simulation results are uploaded in machine- and human-readable formats.

We compare how well participants can determine the geographical direction of an animated map transition. In our between-subject online study, each of three groups is shown map transitions in one map projection: Mercator, azimuthal equidistant projection, or two-point equidistant projection. The distances of the start and end point are varied. Map transitions zoom out and pan towards the middle point, then zoom in and continue panning, following the recommendations by Van Wijk and Nuij (IEEE InfoVis, 2003). We measure response time and accuracy in the task. We evaluate the results by the sample means per participant, using interval estimation with 95% confidence intervals. We construct the confidence intervals by using BCa bootstrapping. The study is pre-registered on OSF.io, but due to file size limitations, we were not able to submit the video stimuli there. Instead, we provide them here. This repository contains the MPEG-4 video files that were shown to the participants in the videos/ folder. These are numbered from 0 to 1199 for each of the three map projections, which are also stated in the file name, for a total of 3,600 video stimuli. An additional 3×6 example stimuli are also included. For each video stimulus, a JSON file with the same prefix file name (projection + number) is located in the metadata/ folder. These files contain the ground truth metadata for the respective stimulus. The stimuli shown for teaching the participants the task are located with the same structure under the examples/ folder. The entire source code for the study is also available in the related publication. The related repository includes: The code for generating the individual PNG frames, and JSON metadata, for each stimulus. The server and front-end code for the online study itself. The Python and R code for evaluating the study results.

The video shows a synchrotron x-ray video of full-penetration laser welding of the aluminum alloy AA1050A (Al99.5). At the beginning of the video the transition from partial penetration welding with a keyhole which is closed at its bottom to full-penetration welding with a keyhole which is opened at its bottom can be observed. The images show that the fluctuations of the capillary’s geometry during the beginning of the process result in an excessive formation of pores. During the further progress of the process a reliable full-penetration process is achieved with an increased stability of the geometry of the keyhole. A detailed analysis of this transition and its implications on the absorptance are presented in the related publication.

Solving the energy balance at the atmosphere-subsurface interface drives heat input (in the summer) into the subsurface. We use this subsequently to calculate heat transport and water flow into the subsurface and then to calculate temperature s around drinking-water supply pipes. This data is from the weather station of the University of Stuttgart. We are providing the measured Boundary Conditions, needed to compute the interface boundary conditions: long wave radiation incoming short wave radiation incoming air temperature in 2 m above ground wind velocity in 2 m above ground relative humidity in 2 m above ground precipitation intensity Data is given tabulated, a readme-file explains the column names.

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.This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 2021, "Information about the Gyrolog data repository", doi: 10.18419/darus-821, DaRUS.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'", doi: 10.18419/darus-gyrolog, DaRUS.

Description of the first steps and the most important tasks for a new DaRUS-Admin

Data sets of the dissertation 'A Molecular-Continuum Multiscale Solver for Liquid-Vapor Flow: Modeling and Numerical Simulation', comprised of microscale particle simulation results for non-equilibrium liquid-vapor phase boundaries.