Find research datasets worth reusing

opencc-by-4.0Oct 2023View details →

Numerical weather simulation using COSMOiso in June 2019 during L-WAIVE field campaign: selected model output and post-processed data.

This dataset consists of extracts from a simulation with the isotope-enabled regional numerical weather prediction model COSMOiso, which covers the timespan of the Lacustrine-Water vApor Isotope inVentory Experiment (L-WAIVE) field campaign taking place in June 2019 in the Annecy valley in the French Alps (Chazette et al. 2021).The simulation has a horizontal resolution of 0.1° (~10km) and 40 vertical levels.This COSMOiso simulation is used in Thurnherr et al. (submitted) to compare stable water isotope measurements from various platforms. Here, we provide selected model outputs and post-processed data used in this comparison study. The post-processed data contain:<ol><li>COSMOiso output files for time steps 20190612_12, 20190613_12, 20190615_13, 20190616_13, 20190617_12, 20190622_12.</li><li>Pressure weighted total and subcolumn averages for time steps 20190612_12, 20190613_12, 20190615_13, 20190616_13, 20190617_12, 20190622_12.</li><li>Vertical cross section of selected variables at Annecy, the location of the L-WAIVE field campaign, for the simulation time window.</li><li>Interpolated time series of subcolumn and total column averages at Annecy, the location of the L-WAIVE field campaign, for the simulation time window.</li><li>Interpolated variables along the flight tracks from the L-WAIVE campaign (see Sodemann and Seidl, 2023).</li></ol>See also README files for more details on the provided data.To access further model output and post-processed data, please contact the dataset authors.

opencc-by-4.0Dec 2023View details →

Processing of 3-D Polygon Mesh Model and Radio Propagation Simulations in a Cave: Surface Reconstruction from Point Cloud, Simplification of the Mesh, and Ray Tracing

ABOUTThis repository includes mesh data from cave geometry scanning and processing, and radio propagation data from ray tracing simulations.The geometry data is obtained with laser scanning in a cave in Slovenija.  The geometry processing includes (i) 3-D shape reconstruction - surface reconstruction from point cloud data and (ii) simplification - reduction of the geometric complexity of the 3-D mesh model.  The radio propagation data is obtained using CloudRT [1] ray-tracing simulator.  The obtained propagation-related quantities include information about the propagation mechanism, interactions with the geometry, received power, delay, azimuth and elevation angles of arrival and departure, and path loss.  AUTHORSTeodora Kocevska, Andrej Hrovat, Tomaž JavornikDepartment of Communication SystemsJožef Stefan Institute, SI-1000 Ljubljana, Sloveniateodora.kocevska@ijs.si GEOMETRY PROCESSINGThe cave segment used for the propagation calculations is selected from a point cloud obtained in a cave in Litia, Slovenia. The point cloud is obtained with 3-D laser scanning of the environment. The selected segment is approx. 58  m long. Several parameter configurations were considered for 3-D shape reconstruction, including Poisson surface reconstruction with octree depths of 8, 10, and 12. Geometries that represent the cave shape and have different levels of complexity were created and studied. In the simplification process, one and two-stage simplification was explored using the Quadric Edge Collapse Decimation approach.  RADIO SETUPThe transmitter (Tx) is fixed at the entrance of the cave and the receiver (Rx) is moved along the cave in 40 positions with a step of 1 m.Omnidirectional antennas at the Tx and Rx sites and vertical polarization are considered. The antenna is mounted 1.5 m above the ground.The start frequency is 3.5 GHz, the end frequency is 3.6 GHz and the step is 10 MHz. Direct propagation and first-order reflection are considered.  The cave geometry is represented by a triangular mesh, and the material of the cave is wet earth. The material electromagnetic properties are selected according to the specifications presented in [2]. FOLDER STRUCTUREThe folder structure is:     - Polygon_Mesh_Models          # 3-D environment models with varying levels of geometry complexity          - Reconstruction_Segmen1_Poisson_Surface_Reconstruction          - Simplification_Segment1_Quadric_Edge_Collapse_Decimation     - Propagation_Data          # Propagation quantities of all rays between a transmitter and receiver          - AllRay_PropData          - PathLoss          - readme.txt     - RayTracing_EnvironmentModel          # Final environment model used for ray tracing simulations          - Cave_MeshModel.json          - Cave_MeshModel.skb          - Cave_MeshModel.skp     - RayTracing_MaterialProperties          # Properties of the materials in the environment          - materials.json          - materials.mtl          - readme.txt     - Cave_Length.txt     # Length between selected locations in the environment     - Cave_Segment1_visual.png     # Visualization of the environment segment used for propagation calculation     - readme.txt     # Overall description REFERENCES[1] D. He, B. Ai, K. Guan, L. Wang, Z. Zhong, and T. Kürner, "The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial," in IEEE Communications Surveys & Tutorials, vol. 21, no. 1, pp. 10-27, First quarter 2019, doi: 10.1109/COMST.2018.2865724.[2] R. sector of International Telecommunication Union (ITU-R), "Effects of building materials and structures on radio wave propagation above about 100 MHz," International Telecommunication Union, ITU-R Recommendation P.2040-2, 2021. ACKNOWLEDGEMENTThis work was supported by the Slovenian Research Agency under grant J2-3048.

opencc-by-4.0Jun 2022View details →

Evaluation datasets and results for the paper "Enhancing Business Process Simulation Models with Extraneous Activity Delays"

Event-logs and Business Process Simulation Models used in the experimentation of the paper "Enhancing Business Process Simulation Models with Extraneous Activity Delays", where the 'inputs' folder contains all the files used as input, and the 'output' folder the results of the evaluation.   Inputs: event-logs, BPS models, and simulation parameters used as input in the experimentation. <ul> <li>Real-life: real-life event logs, corresponding to two disjoint subsets of traces from an Academic Credentials' process, and the BPIC 2012 and BPIC 2017 event logs (filtered as explained in the paper), and the BPS model (plus simulation parameters) used as input for each dataset in the presented approach.</li> <li>Synthetic: simulated event-logs and corresponding BPS models (plus simulation parameters) for four different processes with 0, 1, 3 and 5 timer events.</li> </ul> Outputs: results of the experimentation. <ul> <li>Real-life: results corresponding to the evaluation with real-life event logs. Each of the folders is composed by the original and the enhanced BPS models, 10 event logs simulated with each of them, two folders with the best iteration of the two hyperparameter optimization processes, and the values for the injected timers in each case. In addition, a CSV file with the EMD metrics (cycle time and absolute hour event distribution) for each dataset is provided.</li> <li>Synthetic: results corresponding to the simulated event-logs. <ul> <li>Before-After: BPS models and discovered timer events for the four synthetic processes, with five timers placed before and after different activity instances.</li> <li>Complete: BPS models and quality measures (precision, recall, and SMAPE of the discovered timers) for the four synthetic processes with zero, one, three, and five timer events.</li> <li>Individual: event logs enhanced with the discovered extraneous delay for each activity instance, for the four synthetic processes with zero, one, three, and five timer events; and SMAPE of the estimations.</li> </ul> </li> </ul>

openmit-licenseNov 2024View details →

Processed data and code for manuscript "Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea"

This repository contains the python code and processed data to reproduce analysis and figures from Rühs et al. (2024, Ocean Science): "Non-negligible impact of Stokes drift and wave-driven Eulerian currents on simulated surface particle dispersal in the Mediterranean Sea". To reproduce the whole analysis, including the calculations of the trajectories, the following needs to be downloaded/included into a local working directory: <ul> <li>the content of this repository in respective sub-directories, i.e. code (created and maintained at <a href="https://github.com/sruehs/RuehsEtAl2024_ImpactWavesSurfaceDispersal">https://github.com/sruehs/RuehsEtAl2024_ImpactWavesSurfaceDispersal</a>), data-proc, figs</li> <li>the original surface velocity data, to be downloaded here: <a href="https://zenodo.org/records/10879702">https://zenodo.org/records/10879702</a>, in an additional sub-directory named data-orig</li> </ul> Additionally, the OceanParcels package, available via <a href="https://github.com/OceanParcels/parcels">https://github.com/OceanParcels/parcels</a> or <a href="https://anaconda.org/conda-forge/parcels">https://anaconda.org/conda-forge/parcels</a> needs to be installed in the python working environment. Then, the scripts in the code directory can be executed to re-run the trajectory simulations and analysis. Alternatively, the output in forms of figures and processed data can be accesed directly in the respective sub-directories.

opencc-by-4.0Nov 2024View details →

Videos of the processed microscope images and time series of the petrophysical parameters from image processing and geochemical simulation and of the measured induced polarisation [Video][Dataset]

Supporting Information for the manuscript Microfluidics and spectral induced polarization for direct observation and petrophysical modeling of calcite dissolution published in Geophysical Research Letters <ul> <li>Data Set S1. Porosity, water saturation, and calcite sample perimeter from image processing.</li> <li>Data Set S2. Porosity, water conductivity, and pH from geochemical simulation.</li> <li>Data Set S3. Real and imaginary components of the complex electrical conductivity at 2.5 Hz and CEC from petrophysical modeling.</li> <li>Movie S1. Dissolution of the calcite sample with the detected contour superimposed in white on the grayscale images. Time, length scale, and flow direction are indicated. In case of problems launching the file, we recommend using VLC Media Player software.</li> <li>Movie S2. Segmented images of the CO2 bubbles produced by the calcite dissolution. Time, length scale, and flow direction are indicated. In case of problems launching the file, we recommend using VLC Media Player software.</li> </ul>

opencc-by-4.0Nov 2022View details →

Bayesian Symbolic Learning to Build Analytical Correlations from Rigorous Process Simulations: Application to CO2 Capture Technologies

Dataset of process simulations results of the natural gas sweetening and flue gas treatment (first and second sheet, respectively as indicated by the sheet name in the .xlsx file). The dataset refers to the publication Bayesian Symbolic Learning to Build Analytical Correlations from Rigorous Process Simulations: Application to CO2 Capture Technologies by V. Negri, Vàzquey D., Sales-Pardo, Marta, Guimerà, R. and Guillén-Gosàlbez, G. The training and testing dataset are used to generate the figures in the main manuscript and supplementary information.

opencc-by-4.0Feb 2022View details →

Post-processed dataset from 50000 numerical simulations of monopile-supported NREL 5MW wind turbine in OpenFAST

The dataset contains two separate files: NREL_Trainset40000.mat and NREL_Testset10000.mat. The stored input enviormental and operational parameters are: <ul> <li>Significant wave height, m (Hs), peak period, s (Tp), wave direction, deg (Wave_dir);</li> <li>Wind speed, m/s (Vw_mean, Vw_std), wind direction, deg (Wdir_mean, Wdir_std);</li> <li>Turbine rotational speed, rpm (Rpm_mean, Rpm_std), blade pitch, deg (Pitch_mean, Pitch_std), turbine yaw angle, deg (Yaw_mean, Yaw_std).</li> </ul> The output of the simulations includes the time series, sampled at 50 Hz, of the reaction force and bending moments at the mudline: <ul> <li>Fzz, N</li> <li>Mxx, Nm</li> <li>Myy, Nm</li> </ul> contact: nandar.hlaing@uliege.be

opencc-by-4.0Oct 2022View details →

Processed model output of the climate simulation in the study: The effects of diachronous surface uplift of the European Alps on regional climate and the isotopic composition of precipitation (δ18Op) [Boateng et al.]

The geodynamic evolution of the Alps suggests that the Alps did not rise monotonically due to the different post-collisional processes such as slab break-off. However, understanding such subsurface dynamics would require adequate knowledge about its surface uplift history. Stable isotope paleoaltimetry methods are widely used to infer past surface elevation using geologic archives. However, its accurate interpretation relies on attributing the extracted isotopic signal from proxies to surface uplift despite other influences such as climate. To resolve this issue, topographic sensitivity experiments across the Alps are used to investigate the impacts of the diachronous surface uplift on regional climate and δ18Op. The Atmospheric General Circulation Model ECHAM5 with water isotope tracking capabilities (ECHAM5-wiso) is used to simulate the climate with varied topographic scenarios. We present the processed (long-term means) model output of the relevant climate variables (i.e δ18Op, near-surface temperature, precipitation amount, near-surface meridional and zonal winds, mean sea level pressure, and elevation) in response to the changes in topography. The file names are representative of the topographic scenarios used for the simulations. For example, the file “W2E1.nc” is the model output produced by a topographic scenario in which the topography across the west-central Alps was set to 200% of its modern height, and the Eastern Alps were kept at 100%. The “CTL.nc” file contains model output from the control simulation that uses present-day topography. The datasets for instance can be used to select far-field sampling points for the δ-δ paleoaltimetry method that are not significantly affected by the topographic changes.

opencc-by-4.0Aug 2019View details →

Data for the publication "Incorporation of inline warm rain diagnostics into the COSP2 satellite simulator for process-oriented model evaluation"

Michibata et al. (2019), currently under peer-review for publication in Geoscientific Model Development, incorporated a diagnostic tool for warm rain microphysics into the CFMIP Observation Simulator Package (COSP; Bodas-Salcedo et al. 2011; Swales et al., 2018), designed to evaluate model representations of aerosol–cloud–precipitation interactions at a fundamental process-level. The tool automatically generates two diagnostics related to warm rain microphysics during COSP execution in a host model. One is the contoured frequency by optical depth diagram (CFODD), which visualizes a cloud-to-rain microphysical vertical structure (Suzuki et al., 2015). The other diagnostic is a global map of warm rain fraction classified as non-precipitating clouds (< –15 dBZe), drizzling clouds (–15 < dBZe< 0), and precipitating clouds (0 < dBZe). This repository contains the MIROC6/COSP2 input data and A-Train satellite statistics used in Michibata et al. (2019). A sample of the post-processing scripts for visualization using the GrADS software is also included in this repository.

opencc-by-4.0Mar 2023View details →

Integration of the Ash-Based Treatment of the Anerobic Digestate in a Wider Valorization Process by Aspen Plus® Simulation

Spreadsheets for the 7 scenarios investigated in the article: "Aspen Plus® process simulation model of the biomass ash-based treatment of anaerobic digestate for production of fertilizer and upgradation of biogas". A comparison of the following 7 process strategies is mentioned in the above article: Case 1 is the foundation case (labelled as untreated MD) that served as benchmark and it implied the production of MD using the original PSM of Rajendran et al. [11]. In Case 2 a stream of pure hydrochloric acid was incorporated at a 0.1000 times the flowrate of the MD towards the ionization reactor (1HCl:10MD). In Case 3 a stream of hydrochloric acid was incorpo-rated at 0.1176 times the flowrate of the MD towards the stoichiometric-equilibria reactor (1HCl:8.5MD). In Case 4 a stream of hydrochloric acid was incorporated at 0.1212 times the flowrate of the MD towards the ionization reactor (1HCl:8.25MD). The remaining 3 cases are built on Case 3 (i.e. considering the previous acidification of the MD with the dose of 3.18 mEq HCl/g). In Case 5 the stream of SSA (Table 1) was incorpo-rated at 0.0040 times the flowrate of the MD towards the stoichiometric-equilibria reactor (1SSA:1.76HCl:15MD). In Case 6 the stream of ash (Table 1) was incorporated at 0.0060 times the flowrate of the MD towards the ionization reactor (1SSA:1.18HCl:10MD). In Case 7 the stream of ash was incorporated at 0.0080 times the flowrate of the DM to the stoi-chiometric-equilibria reactor (1SSA:0.88HCl:7.5MD).  Additionally, MS Word file summarizes the most relevant data: Table S1, Mass balance of the nutrients monitored in the Aspen Plus® simulations. (1/3); Table S2, Mass balance of the nutrients monitored in the Aspen Plus® simulations. (2/3); Table S3, Mass balance of the nutrients monitored in the Aspen Plus® simulations. (3/3); Table S4, List of the components in the PSM of Rajendran et al. [11]. (1/3); Table S5, List of the components in the PSM of Rajendran et al. [11]. (2/3); Table S6, List of the components in the PSM of Rajendran et al. [11]. (3/3).

opencc-by-4.0Apr 2023View details →

Process Simulation of Friction Extrusion of Aluminum alloys

The friction extrusion process (FEP) is a solid-state material processing technique in which a translating extrusion die is pressed against a billet/feedstock material in a rotating extrusion container to produce an extruded rod or wire. A key aspect of FEP is the non-equilibrium thermo-mechanical condition created at the contact region between the die and billet, leading to a possibly improved microstructure. Numerical simulations of FEP are highly complex due to contact between the tool and the workpiece, and interplay between thermo-mechanical conditions and the present severe plastic deformation. In the present work, a three-dimensional finite element model is developed to study the material flow behavior for different extrusion ratios for a 60° die angle during friction extrusion. The developed model is numerically validated against experimental data. The spatial temperature, strain and velocity distributions illustrate the effect of extrusion ratio on the deformation characteristics of the extruded aluminum alloys, thereby assisting in experimental microstructure interpretation.

opencc-by-4.0May 2023View details →

Simulation data for Doubly Robust Estimation of Business Process Intervention

Event logs of simulated execution of two variants of the same process. A case matrix that contain the outcome, the intervention, and the confounders.

opencc-by-4.0Dec 2023View details →

EAMv1 simulation output for evaluating two aerosol process coupling schemes

EAMv1 is version 1 of the atmosphere component of the Energy Exascale Earth System Model (E3SM, <a href="https://github.com/E3SM-Project/E3SM">https://github.com/E3SM-Project/E3SM</a>). This upload contains processed output from transient simulations conducted using the F20TRC5-CMIP6 compset. The EAMv1 source code used in the simulations can be found in <a href="https://doi.org/10.5281/zenodo.7995850">Zenodo record 7995850</a>. Scripts used to conduct and analyze the simulations can be found in <a href="https://doi.org/10.5281/zenodo.10371316">Zenodo record 10371316</a>.  The following tarballs contain annually averaged simulation output: <ul> <li>cflx_1_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_1_L72_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L72_F20TRC5-CMIP6.tar.gz</li> </ul> The following split zip archives contain 6-hourly simulation output: <ul> <li>cflx_1_L30_F20TRC5-CMIP6_6h.z*</li> <li>cflx_2_L72_F20TRC5-CMIP6_6h.z*</li> </ul>

opencc-by-4.0Dec 2023View details →

Compressed EAMv1 simulation output for evaluating two aerosol process coupling schemes

EAMv1 is version 1 of the atmosphere component of the Energy Exascale Earth System Model (E3SM, <a href="https://github.com/E3SM-Project/E3SM">https://github.com/E3SM-Project/E3SM</a>). This upload contains processed output from transient simulations conducted using the F20TRC5-CMIP6 compset. The EAMv1 source code used in the simulations can be found in <a href="https://doi.org/10.5281/zenodo.7995850">Zenodo record 7995850</a>. Scripts used to conduct and analyze the simulations can be found in <a href="https://doi.org/10.5281/zenodo.10371316">Zenodo record 10371316</a>.  The following tarballs contain annually averaged simulation output: <ul> <li>cflx_1_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_1_L72_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L72_F20TRC5-CMIP6.tar.gz</li> </ul> The following split archives contain 6-hourly simulation output: <ul> <li>cflx_1_L30_F20TRC5-CMIP6_6h.tar.gz.*</li> <li>cflx_2_L72_F20TRC5-CMIP6_6h.tar.gz.*</li> </ul> The split archives can be recombined and untarred using, e.g., the following commands:  <pre><code>${casename}="cflx_1_L30_F20TRC5-CMIP6_6h" cat ${casename}.tar.gz.* | tar xzvf -</code></pre> A copy of the uncompressed and unsplit files can be found through <a href="https://portal.nersc.gov/project/m4359/huiwan/cflx/EAMv1_output_202311_for_Zenodo/">NERSC's web portal</a>.

opencc-by-4.0Apr 2024View details →

Numerical simulation of friction extrusion: Process characteristics and material deformation due to friction

This study employs a finite element thermo-mechanical model, using a Lagrangian incremental setting to investigate friction extrusion (FE) under varying process conditions. The incorporation of rotation in FE generates substantial frictional heat, leading to significantly reduced process forces in comparison to conventional extrusion (CE). The model reveals the interplay between temperature, strain, and strain rate across different microstructural zones of the resulting wire. Specifically, the sticking friction condition in FE enhances initial shear deformation, aligning with a homogeneous spatial strain distribution and predicting complete grain refinement in the extruded wire, as per Zener-Hollomon calculations. On the other hand, under the sliding friction condition in FE, the shear deformation is reduced which results in an inhomogeneous microstructure in the extruded wire. The analysis of material flow in the workpiece reveals distinct transitions from the base material to the thermo-mechanically affected zones. The simulated process force, thermal history, and microstructure during sliding friction conditions align well with the findings from performed friction extrusion experiments.

opencc-by-4.0Apr 2024View details →

Automatic message sequence chart creation from simulation run of the parametric colored Petri net model of the Chandy-Lamport algorithm with four processes

The video shows the creation of the message sequence chart from a simulation run of the proposed parametric colored Petri net model of the Chandy-Lamport algorithm using the CPN tool with four constituting processes. The picture shows the resulting message sequence chart. Message Sequence Chart of Parametric Model With 4 Processes via Automatic Simulation Run_SuppInfo.mp4: This video shows the automatic generation of a message sequence chart of the proposed parametric colored Petri net model of the Chandy-Lamport distributed global snapshot algorithm using the CPN tool version 4.0.0. The model's number of constituting processes is parametric and was set to four. The video was generated using the authors' updated CPN tool extension server. The automatic simulation run of the model has been used to create this video. The CPN tool randomly selects the enabled transition at each step in an automatic simulation run. Picture of Message Sequence Chart of Parametric Model With 4 Processes_SuppInfo.png: This picture shows the automatically generated message sequence chart of the proposed parametric colored Petri net model of the Chandy-Lamport algorithm that is visible in the above video clip. The number of constituting processes was set to four.

opencc-by-4.0May 2022View details →

Simulation file for "Titanium dioxide and silver nanoparticles air emissions risk assessment for spray coating processes in Witek, Italy – A case study"

Underlying data for “Nanosized titanium dioxide particle emission potential from a commercial indoor air purifier photocatalytic surface – A case study”

opencc-by-4.0May 2019View details →

Supporting data sets for "Estimating Carbon Fixation of Plant Organs for Afforestation Monitoring using a Process-based Ecosystem Model and Ecophysiological Parameter Optimization". (the survey of tree breast diameter and tree height in 11-year old Eucommia ulmoides plantation, values of simulation results used in figures and tables.)

Supporting data sets for Miyauchi et al., Ecology and Evolution, 2019 (accepted). The files store:  (1) The survey of tree breast diameter and tree height in Eucommia ulmoides plantation. The ring and stem analysis and dry weight of seven harvested sample trees in the plantation. (2) Values of optimization result used fig.7. (3) Values of prediction result used fig.8. and table 4. (4) Values of optimized parameters by optimization methods, parameter range and constrain.