DaRUS (University of Stuttgart)
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2037 research outputs found
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QoI - Soot filaments
No full text
This dataset contains the database of soot filaments extracted from PIV (Mie scattering) measurements, CFD simulations and generative models.
The database is one subclass utilised in the generation of synthetic training data via domain randomisation. The resulting dataset is subsequently used for training of DL-based image segmentation models.
For further details and citation, please refer to the submitted paper:
B. Jose, K. P. Geigle, F. Hampp, Domain-Randomised Instance-Segmentation Benchmark for Soot in PIV Images, submitted to Machine Learning: Science and Technology (2025)
Data Samples:
Real soot:
Soot from generative models:
Soot from simulations:
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Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
No full textThe ML-TWiX dataset provides a globally gridded reconstruction of Total Water Storage Anomalies (TWSA) from January 1980 to December 2012. This dataset is designed to extend the GRACE satellite observations backward in time, supporting hydrological and climate-related studies that require long-term water storage information. The reconstruction was achieved using an ensemble of machine learning models - Random Forest, Gaussian Process Regression, and XGBoost - trained over the GRACE observation period (April 2002 to December 2012). Input features included monthly TWSA estimates from 13 global hydrological, land surface, and reanalysis models, applied at a 0.5° grid over global land areas (excluding Greenland and Antarctica). The dataset includes both the mean predicted TWSA and associated uncertainty, quantified through bootstrapped ensemble realizations. ML-TWiX is particularly useful for drought analysis, trend evaluation, and integration into Earth system models or water balance studies
Replication Data for: Actuated In-Operation-Reconfiguration of a Cable-Driven Parallel Robot with a Gradient Descent Approximation Technique
No full textSimulated dataset for the investigative workspace study considering a gradient descent reconfiguration method for Reconfigurable Cable-Driven Parallel Robots (RCDPRs). This corresponds to the submitted paper: 'Actuated In-Operation-Reconfiguration of a Cable-Driven Parallel Robot with a Gradient Descent Approximation Technique'.
The dataset contains the following files:
Numerical description of the simulated RCDPR (.wcrfx)
Results of the workspace study presented
Workspace comuted with the Brute-Force-Reconfiguration method (BFR) for three different platform rotations (.json)
Workspace comuted with the No-Reconfiguration method (NR) for three different platform rotations (.json)
Workspace comuted with the Gradient-Descent-Reconfiguration method (GDR) for three different platform rotations (.json)
All workspace files contain the follwing data:
Method related information/ parameter (see publication)
wrench: Load vector applied on the platform (w_p)
rotation_matrix: Rotation matrix of the platform (w_p)
num_reconfig_axes: Number of reconfiguration axes used
grid_info: Information of the grid used in the grid search
num_of_points: Number of points in the wrench-feasible-workspace (WFW)
calc_time: Calculation time needed for the WFW-computation
reachable_points: List of all points of the WFW
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Eigenvalue problem solver for evaporation-driven density instabilities in partially saturated porous media
No full textThis dataset contains the source code for the eigenvalue problem solver presented in Bringedal et al. "Impact of saturation on evaporation driven density instabilities in porous media: mathematical and numerical analysis", Transport in Porous Media, https://doi.org/10.1007/s11242-025-02207-y
The application allows to model the estimated onset times of evaporation-driven density instabilities in a partially saturated porous medium
Replication Data for: Remote cooling of spin-ensembles through a spin-mechanical hybrid interface
No full textDatasets to reproduce all plots in the paper. Each spreadsheet (xls file) contains the horizontal and
vertical data of a subfigure. The simulation data is produced using the numerical diagonalization of the Hamiltonian dynamics using Matlab software. The research investigates cooling of spin-ensembles through a spin-mechanical hybrid interface
DEEM Panel Survey
No full textDescription
This dataset contains responses to a yearly panel survey among entrepreneurs in Baden-Württemberg. Based on the DEEM. research project's collected data (see the DEEM. project's website for more information), we survey founders to track the development of startups in our region and to assess the quality and performance of the local Entrepreneurial Ecosystem (see Empirical entrepreneurial ecosystem research: A guide to creating multilevel datasets for more information on this multilevel dataset).
Surveys are sent out to all founders of currently active startups. Surveys were made available in German and English, with respondents being able to choose their preferred language at the start of the survey.
For any questions about this survey or the underlying research project, please contact us.
Aims
Research
Integrating data on founders, firms, regional contexts and socioeconomic indicators, this data enables deeper insights into patterns and dynamics across different levels of Entrepreneurial Ecosystems (EEs) - insights often missed in traditional single-source and cross-sectional data studies. As such, this data contributes to the understanding of EEs as multilevel phenomena crucial for understanding and promoting productive entrepreneurship and economic development.
Respondents
We aim for a full population survey every year, instead of drawing samples. This means that all startups with an identifiable means of contact are contacted, with every potential respondent receiving a personalized survey link. Response rates typically vary between 10-15%. To increase response rates, the following approach is used: The survey is left open for a period of two months for founders to answer at their own pace, with periodic reminders sent.
While the survey is designed as a panel to track founders' perceptions over time, we cannot guarantee that founders participate in more than one wave. As such, this dataset can be more accurately viewed as a "macro-panel" on the Entrepreneurial Ecosystem of BW.
Usage
This repository is structured as follows:
The global codebook contains information on the broad concepts addressed in each survey wave, as well as the question batteries asked to address these concepts. As such it serves as a broad overview for researchers, to understand whether the data suits their research interests, and whether the relevant questions were asked in multiple years (i.e. panel analyses are possible), or whether they were included as one-off batteries. It is only available in English.
The folders include the responses obtained for each survey year, as well as a wave-specific codebook with more detailed information. In contrast to the global codebook, these codebooks contain the questions and response options in both English and German, as well as meta-information about question filters and sub-groups if applicable. Additionally, for each item, basic summary statistics (number of responses per category, number of non-responses) are reported.
Data for each survey wave is made available in .csv format (Comma-Separated Values) with a header row. The columns are separated via semicolons (";"). This has been done to avoid conflicts, as some text responses and system variables included commas. Please consider this when loading and using the data with the analysis software of your choice.
Should any issues arise in downloading, opening or using this data, please contact us for help
Replication Data for: Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task
No full textMeasurement data and analysis scripts to investigate a novel adaptive preload control (APC) for cable-driven parallel robots.
The measurement data is provided as csv files and consists of two sets:"experiment_std.csv" is the measurement data for the performed motion in STD operation and "experiment_apc.csv" is the data of the APC method.
Additionally, the motion profiles are stored as nc file.
The robot-specific parameters are stored in COPacabana.xml.
To analyze and plot the data, the "main.py" script must be executed using python and the installed packages in "requirements.txt". Additionally, the WiPy.pyd package must be imported.<p
Data for: The onset of outer-layer self-similarity in turbulent boundary layers
No full textAveraged data from a direct numerical simulation of a zero pressure gradient turbulent boundary layer.
Files in 'zt_avg_txt.tar.gz' are in plaintext, column format and contain 1D data profiles of the spanwise & temporal (z,t) averaged flow field. 1x streamwise (x) profile and >200x wall-normal (y) profiles are included. Several base variables and pre-computed flow metrics are provided, as described in the header of each file. All physically relevant freestream parameters, as well as profile location data, are also present in the file header.
The python3 plot script 'plot_zt_avg_txt_data.py' provides a basic example for how to load and plot the data
Robotic Plans for the Assembly of A Large-Scale In-Plane Timber Prototype with a Collective Robotic Construction System
No full textThis data set contains the robotic plans for the assembly of a large-scale in-plane timber prototype with a collective robotic construction (CRC) system published in Automation in Construction (Leder, S., Kim, H., Sitti, M., Menges, A.: 2024, Enhanced Co-Design and Evaluation of a Collective Robotic Construction System for the Assembly of Large-Scale In-Plane Timber Structures. Automation in Construction, Vol. 162, 105390. DOI: 10.1016/j.autcon.2024.105390). The assembly was made from a modular CRC system composed of robotic actuators and timber structs, more information on the system can be found in the paper. The prototype was assembled using four robotic actuators composed into two kinematic chains, each connected with a single timber strut.
The data set contains 19 robotic plans in JSON file format. Each plan or JSON file correlate to one of the 19 timber struts that were placed into the structure. Each plan contains information on the robotic actuators and timber struts within the scene as JSON Objects. Within each JSON Object, the position and location of part of the CRC system is described with different amounts of keyframes. The keyframes represent moments in the assembly process when at least one robotic actuator in the scene opens or closes its gripper.
Timber struts, identified with the key:value pair "frame_name": "s0" as one example, contain information on the position and orientation of the strut. Robotic actuator information is split into four JSON Objects: one for the top body ("frame_name": "b0_0_body_t"), one for the axis of the robot ("frame_name": "b0_0_joint_f"), one for the bottom body ("frame_name": "b0_0_body_b"), and one for rotation ("b0_0_rotation"). The examples key:value pairs are given for Robot0. The first three contain the position and orientation and the state of the gripper in the case of the bottom body. The rotation JSON Objects indicated how much the robotic actuator needs to rotate around its axis to get to that position.
The plans were generated using the agent-based model described in a paper in Journal of Computational Design and Engineering (Leder, S., Menges, A.: 2024, Merging Architectural Design and Robotic Planning Using Interactive Agent-based Modelling for Collective Robotic Construction. Journal of Computational Design and Engineering, Vol. 11, No. 2, pp. 253-268. DOI: 10.1093/jcde/qwae028 ).
The plans can be used to simulate or execute the assembly process using the digital twin developed for the CRC system as published in another dataset (Leder, S., Kubail Kalousdian, N., Menges, A.: 2025, Digital Twin for a Modular Collective Robotic Construction System, https://doi.org/10.18419/DARUS-4761, DaRUS)
Supplementary Information to "Linker-Cluster Cooperativity in Confinement of Proline- Functionalized Zr-Based Metal-Organic Frameworks and its Effect on the Organocatalytic Aldol Reaction"
No full textFiles and structures for performing all-atom molecular dynamics simulations of UiO-67 and UiO-67-based structures filled with Methanol and reactant and product molecules