2026-04-18T23:09:14Z https://rodare.hzdr.de/oai2d

oai:rodare.hzdr.de:3379 2025-04-24T15:12:29Z openaire_data user-rodare user-hzdr user-casus

Wicaksono, Damar Canggih Hernandez Acosta, Uwe Thekke Veettil, Sachin Krishnan Kissinger, Jannik Hecht, Michael 2025-01-06 Data for the draft manuscript "Minterpy: Multivariate polynomial interpolation in Python". The archive also includes the scripts to generate the data and create the plot that appears in the paper. https://rodare.hzdr.de/record/3379 10.14278/rodare.3379 oai:rodare.hzdr.de:3379 url:https://www.hzdr.de/publications/Publ-40457 url:https://www.hzdr.de/publications/Publ-40367 doi:10.14278/rodare.3378 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data to "Minterpy: Multivariate polynomial interpolation in Python" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2700 2024-08-08T09:09:26Z openaire_data user-hzdr user-rodare user-elbe

Zenker, Klaus Kuntzsch, Michael 2024-01-29 This data was taken at DSEY (04-08.12.2023) using a climate chamber. Multiple temperature and humidity sensors were put into the climate chamber. Due to problems with the ChimeraTK server not all data was collected by a single ChimeraTK server, but the sensors were grouped and read by different 1-wire servers (`1-wire_1`, `1-wire_2`, `1-wire_3`, `1-wire_4`, `1-wire_5`). Each sensor identification is listed in the owfs.xlmap file. First sensor in owfs.xlmap corresponds e.g. to DS18B20/0. Data is available as HDF5 and ROOT file. In addition the MRF timing system was running. Two EVRs (EVR2, EVR3) were connected via long fibers (100m) to the EVM. The fibers routed through the climate chamber, such that most of the fiber was inside the chamber. A Rhode&Schwartz oscilloscope was used to measure the delay of the timing output signals with respect to a third EVR (EVR1), that was connected via a short cable outside the climate chamber. That data is included in timing-data.root, which includes: Delay of EVR2 with respect to EVR1 -> Delay_C1C2 Delay of EVR3 with respect to EVR1 -> Delay_C1C3 Delay compensation (actual, correction) for each EVR The intended measurement, was to use active delay compensation for EVR2 and deactivated delay compensation for EVR3. However, the measurement was spoiled by periodic delay shifts in case of EVR2. On 07.12. 10:20 the delay compensation was also activated for EVR3. For technical reasons not all timing related data is included in rs-data.root. The delay compensation data (actual, correction) should be taken from the aggregated raw data. It includes basically all data (temperature, humidity, oscilloscope data), but in the beginning the actual delay measurement was missing (which should be taken from timing-data.root). Selected data periods are listed in the file data.ods. Some analysis results are already included here for convenience: Plots includes: Temperature calibration Humidity calibration Delay measurements Calibration.root includes calibration constants for humidity/temperature calibration and graphs/plots https://rodare.hzdr.de/record/2700 10.14278/rodare.2700 oai:rodare.hzdr.de:2700 eng url:https://www.hzdr.de/publications/Publ-38668 doi:10.14278/rodare.2699 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess ELBE Timing System Data publication: MRF timing system characterization and 1-wire sensor calibration using a climate chamber info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2588 2023-12-01T11:14:56Z user-hzdr user-rodare

Zhao, Xinne Kolbinger, Fiona R. Distler, Marius Weitz, Jürgen Makarov, Denys Bachmann, Michael Baraban, Larysa 2023-12-01 research data on amylase concentration detection (Pancreatic α-Amylase in Postoperative Patients) with millifluidic device and plate reader and their statistical analysis https://rodare.hzdr.de/record/2588 10.14278/rodare.2588 oai:rodare.hzdr.de:2588 url:https://www.hzdr.de/publications/Publ-38005 url:https://www.hzdr.de/publications/Publ-38002 doi:10.14278/rodare.2587 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode pancreatic surgery postoperative pancreatic fistula pancreatic α-amylase droplet-based millifluidics point-of-care diagnostics Data publication: Portable Droplet-Based Real-Time Monitoring of Pancreatic α-Amylase in Postoperative Patients info:eu-repo/semantics/other other

oai:rodare.hzdr.de:1941 2023-01-17T10:37:18Z software user-casus user-hzdr user-rodare

Davoodi Monfared, Mansoor Senapati, Abhishek Mertel, Adam Schlechte-Welnicz, Weronika Calabrese, Justin 2022-11-09 Codes for "Optimal workplace occupancy strategies during the COVID-19 pandemic" https://rodare.hzdr.de/record/1941 10.14278/rodare.1941 oai:rodare.hzdr.de:1941 url:https://www.hzdr.de/publications/Publ-34450 url:https://www.hzdr.de/publications/Publ-35422 doi:10.14278/rodare.1940 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode COVID-19 Pandemic Optimal Presence Strategy Productivity\sep Infection Software publication: Optimal workplace occupancy strategies during the COVID-19 pandemic info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4130 2026-02-13T12:09:51Z openaire_data user-health user-hzdr user-oncoray user-rodare

Schaart, Dennis Huizenga, Jan Jagt, Thyrza Wecker, Franziska Römer, Katja Wolf, Andreas Müller, Sara Urban, Konstantin Kieslich, Aaron van Zanten, Julian Kreuger, Rob Kögler, Toni 2026-01-01 Contact person(s): Jagt, Thyrza; Kögler, Toni Project leader(s): Kögler, Toni This dataset contains data gathered in the experimental run of July and August 2025, designed to characterize newly developed Multi-Feature Treatment Verification (MFTV) detectors. MFTV is the next generation of Prompt Gamma-Ray Treatment Verification. Detectors, experimental setup, data acquisition, and data processing are described in the Documentation.pdf. For questions regarding the database, please refer to the beforementioned contact persons. https://rodare.hzdr.de/record/4130 10.14278/rodare.4130 oai:rodare.hzdr.de:4130 eng url:https://www.hzdr.de/publications/Publ-43006 doi:10.14278/rodare.4129 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Multi-Feature Treatment Verification Prompt-Gamma Timing Proton Range Verification Experimental data of first characterization experiment of novel Multi-Feature Treatment Verification detectors info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4183 2025-12-12T13:21:11Z openaire_data user-fwd user-hzdr user-rodare

Bieberle, André Lami, Luca Kryk, Holger Geißelbrecht, Michael Bieberle, André 2025-12-12 This data archive contains the pulse height spectra recorded with the MCA-527 (GBS) multichannel analyser and the corresponding history files. The pulse height spectra were recorded continuously throughout the day with an integration time of 300 s. The scintillation detector was operated at +800 V. The data is used for quantitative liquid holdup determination. https://rodare.hzdr.de/record/4183 10.14278/rodare.4183 oai:rodare.hzdr.de:4183 eng url:https://www.hzdr.de/publications/Publ-42445 doi:10.14278/rodare.4182 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess gamma-radiation densitometry phase fraction determination Densitometric scans on a LOHC Reactor info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1501 2025-02-06T08:24:12Z software user-hzdr user-health user-rodare

Abdussalam, Wildan 2022-03-24 Software to synchonise the data between various data sources and casus database server. For Unix users please use MigrateWhere2test_0.7Unix.zip and for WIndows users please use MigrateWhere2test_0.7Win.zip. In order to use the scripts, please use the following instructions: Windows 1. Create the postgreq sql database and set the port 5432 2. Create folder C:\Workspaces and unzip the unix file. 3. Create folder in workspaces, com.com.casus.env.where2test.migration\COM_CASUS_WHERE2TEST_MIGRATION and then unzip the source file inside COM_CASUS_WHERE2TEST_MIGRATION. 4. Set run Develop and run the .bat file on the folder MigrateWhere2test_0.7Unix to run in localhost. Unix 1. Create PostgreSQL with port 32771. 2. Create folder /home/wildan/Workspaces and unzip the unix file. 3. Open the file MigrateWhere2test/MigrateWhere2test_run.sh and change the mode "Default" by "Production" 4. Create folder in workspaces, com.com.casus.env.where2test.migration.unix/COM_CASUS_WHERE2TEST_MIGRATION and then unzip the source file inside COM_CASUS_WHERE2TEST_MIGRATION. 5. run the MigrateWhere2test_run.sh in the "Production" mode. https://rodare.hzdr.de/record/1501 10.14278/rodare.1501 oai:rodare.hzdr.de:1501 eng url:https://www.hzdr.de/publications/Publ-34430 doi:10.14278/rodare.1500 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode data pipeline Data synchronizator of Where2test pipeline info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2622 2024-01-02T06:52:31Z user-hzdr user-matter user-rodare

Sun, Xiaoxiao Hilliard, Donovan Chatzopoulou, P. Vasileiadis, I. Florini, N. Dimitrakopulos, G. Komninou, P. Lymperakis, L. Devulapalli, V. Liebscher, C. Pashkin, Oleksiy Winnerl, Stephan Helm, Manfred Dimakis, Emmanouil 2023-12-22 Strain engineering is a powerful tool for designing nanowires with tailored properties for a variety of applications. By carefully controlling the built-in strain in nanowires, it is possible to tune their bandgap to the near-infrared region, making them ideal for applications in telecommunication and imaging. In our previous work, we demonstrated that in GaAs/In x Al 1-x As core/shell nanowires, the bandgap of the core can be narrowed by up to 40%, for x up to 0.54, via strain due to the lattice mismatch between the shell [1]. Here, we explored the upper end of the lattice mismatch regime, extending the same concept to the contents of the shell towards x = 1, achieving unusually high strain values. The strain in the core and its effect on band structure are studied by a combination of spectroscopic methods and high-resolution transmission and scanning-transmission electron microscopy (HR(S)TEM). Raman spectroscopy showed that the tensile strain in the GaAs core increased linearly with increasing the In content in the shell (Fig. 1a), following the trend we reported in the past for lower values of x [1]. This behavior suggests the absence of plastic relaxation despite the very large lattice mismatch between the core and the shell. Using cross-sectional and longitudinal HR(S)TEM observations, we assessed the strain distribution normal and along the nanowire axis (Figs. 1b to 1d), which was found to be in good agreement with finite element and molecular dynamics simulations. Above a critical x value, plastic relaxation sets in via dislocations (Fig. 1b). We also correlated the photoluminescence emission properties with the strain distribution in the core and the shell, and the corresponding band alignment via band structure simulations. All in all, our results identified the limits of a coherent core and shell heterostructures and the potential application of tensile-strained GaAs nanowires for C- and O-band telecom photonics. https://rodare.hzdr.de/record/2622 10.14278/rodare.2622 oai:rodare.hzdr.de:2622 eng url:https://www.hzdr.de/publications/Publ-38279 doi:10.14278/rodare.2621 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode nanowire photonics strain engineering GaAs Unlocking the potential of GaAs nanowires for telecom photonics info:eu-repo/semantics/other image-plot

oai:rodare.hzdr.de:2256 2023-12-22T05:35:06Z openaire_data user-hzdr user-rodare

Afifi, Ahmed J. M. Thiele, Samuel Thomas Rizaldy, Aldino Lorenz, Sandra Kirsch, Moritz Ghamisi, Pedram Tolosana Delgado, Raimon Gloaguen, Richard Heizmann, Michael 2023-04-19 The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital outcrop models. However, accurate validation of these automated mapping approaches is a significant challenge due to the subjective nature of geological mapping and the difficulty in collecting quantitative validation data. Additionally, many state-of-the-art deep learning methods are limited to 2D image data, which is insufficient for 3D digital outcrops, such as hyperclouds. To address these challenges, we present Tinto, a multi-sensor benchmark digital outcrop dataset designed to facilitate the development and validation of deep learning approaches for geological mapping, especially for non-structured 3D data like point clouds. Tinto comprises two complementary sets: 1) a real digital outcrop model from Corta Atalaya (Spain), with spectral attributes and ground-truth data, and 2) a synthetic twin that uses latent features in the original datasets to reconstruct realistic spectral data (including sensor noise and processing artifacts) from the ground-truth. The point cloud is dense and contains 3,242,964 labeled points. We used these datasets to explore the abilities of different deep learning approaches for automated geological mapping. By making Tinto publicly available, we hope to foster the development and adaptation of new deep learning tools for 3D applications in Earth sciences. This research received funding from the Initiative and Networking Fund (INF) of the Hermann von Helmholtz Association of German Research Centres in the framework of the Helmholtz Imaging Platform under grant agreement No ZT-I-PF-4-021. https://rodare.hzdr.de/record/2256 10.14278/rodare.2256 oai:rodare.hzdr.de:2256 eng url:https://www.hzdr.de/publications/Publ-36833 url:https://www.hzdr.de/publications/Publ-38265 doi:10.14278/rodare.2255 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode point cloud hyperspectral hypercloud deep learning point cloud segmentation synthetic data digital outcrop Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3953 2025-08-29T11:19:23Z openaire_data user-energy user-fwd user-hzdr user-rodare

Babich, Alexander Bashkatov, Aleksandr Eftekhari, Milad Yang, Xuegeng Strasser, Peter Mutschke, Gerd Eckert, Kerstin 2025-08-29 Raw data on bubble growth on microelectrodes https://rodare.hzdr.de/record/3953 10.14278/rodare.3953 oai:rodare.hzdr.de:3953 doi:10.1103/PRXEnergy.4.013011 url:https://www.hzdr.de/publications/Publ-41263 url:https://www.hzdr.de/publications/Publ-41261 doi:10.14278/rodare.3952 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Bubble dynamics Marangoni convection Multiphase flows Thermocapillarity Data publication: Oxygen versus Hydrogen Bubble Dynamics during Water Electrolysis at Microelectrodes info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4199 2026-01-07T15:21:39Z software user-health user-hzdr user-pet-center user-rodare user-zrt

Maus, Jens Nitschke, Janina Nikulin, Pavel Hofheinz, Frank Barth, Mareike Lemm, Sandy Richter, Lena Pietzsch, Jens Braune, Anja Ullrich, Martin 2026-01-07 Collection of neural network models for automatic image segmentation of microscopic tumor spheroids. Intended to be used with nnU-Net deep-learning framework. Trained and tested on a total of microscopic images of mouse pheochromocytoma (MPC) tumor cells. In addition to the trained network model, a PyQt5-based graphical user interface tool is provided. This tool provides a complete pipeline for handling microscopic spheroid image data, running deep-learning–based delineation, and curating results for continuous model improvement. For installation and usage instructions, please visit https://github.com/hzdr-MedImaging/pyMarAI Please cite nnU-Net and the respective paper when using pyMarAI. List of available model types: pyMarAI-1.0.0-ecat.zip: nnUNetv2 ready network (for ECAT7) pyMarAI-1.0.0-nifti.zip: nnUNetv2 ready network (for NIFTI) https://rodare.hzdr.de/record/4199 10.14278/rodare.4199 oai:rodare.hzdr.de:4199 url:https://www.hzdr.de/publications/Publ-42498 url:https://www.hzdr.de/publications/Publ-42497 url:https://github.com/hzdr-MedImaging/pyMarAI doi:10.14278/rodare.4198 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/pet-center url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/zrt info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-sa/4.0/legalcode Tumor Spheroid Imaging Radiopharmacological Treatment Response Assays Delineation Cancer Deep-Learning Artifical Intelligence Convolutional Neural Networks Network model pyMarAI: nnU-Net-based Tumor Spheroids Auto Delineation info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3355 2025-05-06T09:07:12Z software user-hzdr user-rodare user-casus

Wicaksono, Damar Canggih Hecht, Michael 2024-11-18 UQTestFuns is an open-source Python3 library of test functions commonly used within the applied uncertainty quantification (UQ) community. Specifically, the package provides: an implementation with minimal dependencies (i.e., NumPy and SciPy) and a common interface of many test functions a single entry point collecting test functions and their probabilistic input specifications in a single Python package an opportunity for an open-source contribution, supporting the implementation of new test functions or posting reference results. In short, UQTestFuns is an homage to the Virtual Library of Simulation Experiments (VLSE). v0.5.0 is a minor release that further expands the library of available UQ test functions. This update introduces 14 new test functions, bringing the total to 56. https://rodare.hzdr.de/record/3355 10.14278/rodare.3355 oai:rodare.hzdr.de:3355 eng doi:10.21105/joss.05671 url:https://www.hzdr.de/publications/Publ-37736 url:https://www.hzdr.de/publications/Publ-37735 doi:10.14278/rodare.2530 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/MIT python uncertainty-quantification benchmark sensitivity-analysis metamodeling reliability-analysis UQTestFuns: A Python3 Library of Uncertainty Quantification (UQ) Test Functions info:eu-repo/semantics/other software

oai:rodare.hzdr.de:228 2022-01-12T10:36:49Z user-fwd user-hzdr user-rodare

Schindler, Felix Zürner, Till Vogt, Tobias Eckert, Sven Schumacher, Jörg 2019-07-01 Lecture (Conference) 11th PAMIR International Conference- Fundamental and Applied MHD July 1-5, 2019, Reims, EVEM France We are investigating turbulent Rayleigh-Bénard convection in liquid metal under the influence of a vertical magnetic field. Utilizing a combination of thermocouple (TC) and ultrasound-Doppler-velocimetry (UDV) measurements gives us the possibility to directly determine the temperature and velocity field, respectively. Further this gives us the possibility to observe changes in the large-scale flow structure. By applying magnetic fields to the liquid metal convection, we quantified changes of heat and momentum transport in the liquid metal alloy GaInSn. The experimental results of our setup agree well with theory findings and direct numerical simulations of the dynamics in our convection cell. The requirement of large computing power at these parameters makes it hard to simulate long-term dynamics with time scales from minutes to several hours. Thus to investigate slow developing dynamics like sloshing, rotation, or deformation of the large- scale flow structure model experiments are indispensable. We demonstrate the suppression of the convective flow by a vertical magnetic field in a cylindrical cell of aspect ratio 1. In this setup Rayleigh numbers up to 6·107 are investigated. The flow structure at low Hartmann numbers is a single roll large scale circulation (LSC). Increasing the Hartmann number leads to a transition from the single-roll LSC into a cell structure. An even stronger magnetic field supresses the flow in the center of the cell completely and expels the flow to the side walls. Even above the critical Hartmann numbers corresponding to the Chandrasekhar limit for the onset of magnetoconvection in a fluid layer without lateral boundaries we still observe remarkable flows near the side walls. The destabilising effect of the non-conducting side walls was predicted by theory and simulations, and is here for the first time experimentally confirmed. Support by Deutsche Forschungsgemeinschaft with grants VO 2332/1-1 and SCHU 1410/29-1 https://rodare.hzdr.de/record/228 10.14278/rodare.228 oai:rodare.hzdr.de:228 eng doi:10.1017/S0022112096004491 doi:10.1103/physreve.62.r4520 doi:10.1017/jfm.2018.479 doi:10.1073/pnas.1417741112 doi:10.1017/jfm.2019.556 url:https://www.hzdr.de/publications/Publ-28698 url:https://www.hzdr.de/publications/Publ-30439 doi:10.14278/rodare.227 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Rayleigh-Bénard-Convection Magnetohydrodynamic low Prandtl Number liquid metal Ultrasound velocimetry Low Prandtl Number Rayleigh-Bénard Convection in a Vertical Magnetic Field info:eu-repo/semantics/lecture presentation

oai:rodare.hzdr.de:2336 2024-02-22T11:56:49Z user-rodare user-hzdr user-fwd

Maestri, Rhandrey Bürkle, Florian Ding, Wei Büttner, Lars Czarske, Jürgen Hampel, Uwe Lecrivain, Gregory 2023-06-20 Data used in the article Equilibrium Taylor bubble in a narrow vertical tube with constriction. Compressed in the 7Z File: Data: Values used for bubble velocity in Fig. 4 and values extracted from the wall shape in the different tubes; Figures: All figures used in the publication; Videos: Videos in mp4 or avi. This work was supported by the German Research Foundation (Deutsche Forschungsgemeinschaft) under the project number 459505672 https://rodare.hzdr.de/record/2336 10.14278/rodare.2336 oai:rodare.hzdr.de:2336 eng url:https://www.hzdr.de/publications/Publ-37133 url:https://www.hzdr.de/publications/Publ-37123 doi:10.14278/rodare.2335 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Gas–liquid flow Taylor bubble Flow blockage Channel constriction Data publication: Equilibrium Taylor bubble in a narrow vertical tube with constriction info:eu-repo/semantics/other video

oai:rodare.hzdr.de:4578 2026-03-26T10:10:20Z openaire_data user-hzdr user-matter user-robl user-rodare

Gurzeda, Bartosz Piotr Boulanger, Nicolas Li, Gui Jørgensen, Mads Ry Vogel Kantor, Innokenty Baburin, Igor Petre, Marta Enachescu, Marius Talyzin, Alexandr V. 2026-03-12 The dataset contains the characterization of the synthesized Ti3C2Tz MXene materials by etching Ti3AlC2 titanium aluminum carbide in solution of ammonium fluoride in acetic acid by XRD, TGA, and XPS. https://rodare.hzdr.de/record/4578 10.14278/rodare.4578 oai:rodare.hzdr.de:4578 doi:10.1107/S1600577520014265 doi:10.1002/smll.202514731 url:https://www.hzdr.de/publications/Publ-43184 url:https://www.hzdr.de/publications/Publ-43125 doi:10.14278/rodare.4577 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/robl url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode environmental friendly in situ XRD MXene synthesis synchrotron titanium aluminum carbide Data publication: Titanium Carbide MXene Synthesis by Etching of Titanium Aluminum Carbide in Acetic Acid Solution info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1862 2023-01-26T12:01:40Z openaire_data user-hzdr user-rodare

Alston, Jesse M. Fleming, Christen H. Kays, Roland Streicher, Jarryd P. Downs, Colleen T. Ramesh, Tharmalingam Reineking, Bjoern Calabrese, Justin 2022-10-10 Data and code that can be used to reproduce the analyses underlying 'Mitigating pseudoreplication and bias in resource selection functions with autocorrelation-informed weighting' by Alston, Fleming, et al. (Preprint: https://doi.org/10.1101/2022.04.21.489059) For more detailed information, please visit the README file. https://rodare.hzdr.de/record/1862 10.14278/rodare.1862 oai:rodare.hzdr.de:1862 url:https://www.hzdr.de/publications/Publ-35259 url:https://www.hzdr.de/publications/Publ-34572 doi:10.1111/2041-210X.14025 doi:10.14278/rodare.1861 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data and code for: Mitigating pseudoreplication and bias in resource selection functions with autocorrelation-informed weighting info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2343 2023-11-06T12:58:35Z openaire_data user-energy user-fwo user-hzdr user-rodare

Bilodid, Yurii 2019-11-27 The X2 VVER-1000 benchmark specification dataset. - version 1.0: original dataset - version 1.1: added results template for the Control Cor Ejection exercise. https://rodare.hzdr.de/record/2343 10.14278/rodare.2343 oai:rodare.hzdr.de:2343 eng doi:10.1016/j.anucene.2020.107558 url:https://www.hzdr.de/publications/Publ-30009 url:https://www.hzdr.de/publications/Publ-29992 doi:10.14278/rodare.199 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwo url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode VVER-1000 X2 benchmark X2 benchmark specification dataset info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:757 2024-08-08T10:38:45Z openaire_data user-hzdr user-matter user-rodare user-elbe

Kim, Heejae Jäger, Sebastian Deinert, Jan-Christoph Kovalev, Sergey 2021-01-22 Research data for the May 2020 beamtime on "THz-driven structural phase transition in a hybrid perovskite". PI: Heejae Kim, MPI for polymer research, Mainz. https://rodare.hzdr.de/record/757 10.14278/rodare.757 oai:rodare.hzdr.de:757 eng url:https://www.hzdr.de/publications/Publ-32146 doi:10.14278/rodare.756 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Terahertz Phase transition Perovskite field-driven 2D-spectroscopy ultrafast Research data: THz-driven structural phase transition in a hybrid perovskite info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:318 2022-11-03T07:54:50Z openaire_data user-casus user-hzdr user-rodare

Moldabekov, Zhandos Vorberger, Jan Dornheim, Tobias Groth, Simon 2020-05-08 PIMC data for the static density response obtained by Dornheim et al. (Plasma Phys. Control. Fusion, https://doi.org/10.1088/1361-6587/ab8bb4). These data can be freely used by other researchers and contain a README file with additional information. https://rodare.hzdr.de/record/318 10.14278/rodare.318 oai:rodare.hzdr.de:318 eng doi:10.1088/1361-6587/ab8bb4 doi:10.1088/1361-6587/ab8bb4 url:https://www.hzdr.de/publications/Publ-30990 url:https://www.hzdr.de/publications/Publ-30992 doi:10.14278/rodare.317 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Path integral Monte Carlo uniform electron gas PIMC data for the uniform electron gas in the high energy density regime info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3614 2025-03-06T07:57:59Z openaire_data user-hzdr user-matter user-rodare

Yan, Cong Hirschmann, Eric Geers, G. D. Marc Giuntini, Diletta 2025-03-06 This data set consists of positron annihilation lifetime measurements generated at a conventional measuring station with a Na-22 source. https://rodare.hzdr.de/record/3614 10.14278/rodare.3614 oai:rodare.hzdr.de:3614 eng doi:10.1016/j.matdes.2025.113784 url:https://www.hzdr.de/publications/Publ-41068 url:https://www.hzdr.de/publications/Publ-41067 doi:10.14278/rodare.3613 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Supercrystals Creep Nonlinear viscoelasticity Free volume Positron annihilation lifetime spectroscop Data publication: Free volume and nonlinear viscoelasticity in supercrystalline nanocomposites: A nanoindentation driven modelling analysis info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1652 2023-06-02T08:54:59Z openaire_data user-hzdr user-rodare

Voigt, Martin Knodel, Oliver 2021-04-16 This dataset contains the metadata for an example project generated using the project export button in our prototype scientific project lifecycle and workflow management system HELIPORT (HELmholtz ScIentific Project WORkflow PlaTform). The metadata schema is still under development and this entry will be updated to reflect further developments. https://rodare.hzdr.de/record/1652 10.14278/rodare.1652 oai:rodare.hzdr.de:1652 eng doi:10.14278/rodare.947 url:https://www.hzdr.de/publications/Publ-32577 doi:10.14278/rodare.947 url:https://www.hzdr.de/publications/Publ-32577 url:https://www.hzdr.de/publications/Publ-32537 url:https://www.hzdr.de/publications/Publ-33939 doi:10.14278/rodare.938 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode metadata HELIPORT project livecycle FAIR Example Project Plan generated by HELIPORT info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3668 2026-01-28T11:35:01Z openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data 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openaire_data openaire_data user-hzdr user-rodare

Arbash, Elias Afifi, Ahmed Jamal Mohammaed Belahsen, Ymane Fuchs, Margret Ghamisi, Pedram Scheunders, Paul Gloaguen, Richard 2025-04-07 Electrolyzers-HSI Dataset Description: The Electrolyzers-HSI dataset is a multiscene RGB-Hyperspectral benchmark dataset comprising 55 scene of shredded Electrolyzers samples. The RGB images are collected using a Teledyne Dalsa C4020 camera on a conveyor belt, while hyperspectral images (HSI) are acquired with a FENIX spectrometer. The HSI data contains 450 bands in the VNIR and SWIR range [400 - 2500]nm. Data Format RGB Images: .jpg files Ground Truth (GT): .png files. They appear black since the values are between 0 and 5. Correct visualization is done via script. HSI Data: Each hyperspectral data cube .img file is accompanied by a .hdr file. Folder Organization Electrolyzers-HSI: 55 subfolders 1/ ’GT.png’ file for segmentation ground truth ‘HSI.img’ and ‘HSI.hdr’ files for HSI data cube ‘RGB.jpg’ file for the RGB image 2/ ’GT.png’ file for segmentation ground truth ‘HSI.img’ and ‘HSI.hdr’ files for HSI data cube ‘RGB.jpg’ file for the RGB image 3/4/5/6/ … :Same structure for all rest of folders Data Classes in Masks Masks contain 0 to 5 segmentation classes: 0: background 1: “MESH” 2: “Steel_Cathode” 3: "Steel_Anode” 4: “HTEL_Anode” 5: “HTEL_Cathode” Code Repository To facilitate reading and working with the data, Python codes are available on the GitHub repository: https://github.com/hifexplo Citation If you use this dataset, please cite the following article: Word: Latex: https://rodare.hzdr.de/record/3668 10.14278/rodare.3668 oai:rodare.hzdr.de:3668 url:https://www.hzdr.de/publications/Publ-41192 url:https://www.hzdr.de/publications/Publ-42879 doi:10.14278/rodare.3667 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode circular economy automated data processing optical sensors Hyperspectral Imaging HSI Hyperspectral Imaging classification recycling E-waste hyperspectral imaging dataset RGB dataset conveyor belt sensors spectrometers machine learning deep learning Electrolyzers open source digitalization Transformers Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2453 2024-08-12T07:03:45Z user-rodare user-hzdr user-elbe user-telbe user-felbe

Uaman Svetikova, Tatiana Aureliia de Oliveira, Thales Pashkin, Alexej Ponomaryov, Alexey Berger, Christian Fuerst, Lena Bayer, Florian Novik, Elena Buhmann, Hartmut Molenkamp, Laurens Helm, Manfred Kiessling, Tobias Winnerl, Stephan Kovalev, Sergey Astakhov, Georgy 2023-08-28 This upload represents the data used for publication <> including datasets, images and programming code. 1. Raw_data.rar contains raw data files obtained during transport measurements, two-colour pump-probe experiments(FELBE) and third harmonic generation experiments. 2. Drude_fit.rar contains the result of fitting the complex change in conductivity with Drude fit. 3. Band_structure_calculation.rar contains the result of the fermi energy and dispersion calculations based on kp-method. 4. Theoretical_model_calculation.rar contains the code of the program for the theoretical model for THG and fitting it with experimental data and its result 5. Presentation_Sample_QC0600.pptx contains the information about used sample. https://rodare.hzdr.de/record/2453 10.14278/rodare.2453 oai:rodare.hzdr.de:2453 eng doi:10.17815/jlsrf-2-58 url:https://www.hzdr.de/publications/Publ-37468 url:https://www.hzdr.de/publications/Publ-37451 doi:10.14278/rodare.2452 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/felbe url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/telbe info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode topological insulators third harmonic generation HgTe Giant THz nonlinearity in topological and trivial HgTe-based heterostructures: Data info:eu-repo/semantics/other other

oai:rodare.hzdr.de:2864 2024-05-21T14:44:21Z openaire_data user-energy user-hzdr user-rodare

Thiele, Samuel Thomas Kirsch, Moritz Madriz Diaz, Yuleika Carolina Gloaguen, Richard 2024-05-15 This hyperspectral drillcore dataset (shed) contains 10 drill holes, totalling 413 boxes that cumulatively contain 2845 meters of scanned cores. Hyperspectral data is stored in the widely used ENVI format (.dat and associated .hdr files), which can be opened using e.g., napari-hippo (GUI) and hylite (python). The whole directory structure is compatible with hycore, for easier out-of-core processing and visualisation. These hyperspectral data and associated visualisations can also be viewed interactively here. These cores intersect stratigraphic units of the Lower Carboniferous Irish Midlands, including the Lucan Formation (Upper Dark Limestones), the Feltrim Formation (Boulder Conglomerate), the Slane Castle Formation (Argillaceous Bioclastic Limestone), the Meath Formation (Shaley Pale Limestones unit), the Liscarton Formation (Mixed Beds unit), and Lower Paleozoic basement rocks. Scanning was conducted on cores such that a variety of lithology, sedimentary facies, proximity to mineralization, alteration intensity, and dolomitization intensity were sampled. These data were acquired as part of the Horizons Europe project Vector. Teck Ireland is acknowledged for providing access to core material and assisting with the hyperspectral scanning logistics. https://rodare.hzdr.de/record/2864 10.14278/rodare.2864 oai:rodare.hzdr.de:2864 eng url:https://www.hzdr.de/publications/Publ-39121 url:https://www.hzdr.de/publications/Publ-39108 doi:10.14278/rodare.2863 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode mineral deposits hyperspectral resources ireland sediment hosted Pb-Zn Collinstown Hyperspectral Drillcore Data info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3885 2025-08-21T09:33:11Z openaire_data user-elbe user-felbe user-hzdr user-fwi user-matter user-rodare user-telbe

Uaman Svetikova, Tatiana Aureliia Ilyakov, Igor Ponomaryov, Alexey de Oliveira, Thales Berger, Christian Fürst, Lena Bayer, Florian Deinert, Jan-Christoph Prajapati, Gulloo Lal Arshad, Atiqa Novik, Elena G. Pashkin, Alexej Helm, Manfred Winnerl, Stephan Buhmann, Hartmut Molenkamp, Laurens W. Kiessling, Tobias Kovalev, Sergey Astakhov, Georgy 2025-07-27 This upload represents the data used for publication, including datasets and programming code. 1. Folder “raw_data” contains raw data files obtained during third harmonic generation experiments. 2. Folder “programs” contains the code of the programs for data processing, fitting, and simulations. 3. Folder “origin” contains the main origin file with the visualization of the experimental results and simulations. https://rodare.hzdr.de/record/3885 10.14278/rodare.3885 oai:rodare.hzdr.de:3885 eng doi:10.17815/jlsrf-2-58 arxiv:2412.17179 url:https://www.hzdr.de/publications/Publ-41655 url:https://www.hzdr.de/publications/Publ-41742 doi:10.14278/rodare.3884 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/felbe url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/telbe info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode HgTe Nonlinear effects THz Highly efficient broadband THz upconversion with Dirac materials: Data info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4029 2025-10-08T07:20:00Z openaire_data user-crc1415 user-fwi user-hzdr user-ibc user-matter user-rodare

Nihei, Anastasiia Barnowsky, Tom Friedrich, Rico Nihei, Anastasiia Barnowsky, Tom Friedrich, Rico 2025-03-10 This dataset includes the primary research data for the publication "Non-van der Waals Heterostructures". https://rodare.hzdr.de/record/4029 10.14278/rodare.4029 oai:rodare.hzdr.de:4029 eng doi:10.17815/jlsrf-3-159 doi:10.1021/acs.nanolett.1c03841 doi:10.1002/aelm.202201112 doi:10.14278/rodare.1421 doi:10.14278/rodare.1852 url:https://www.hzdr.de/publications/Publ-41082 url:https://www.hzdr.de/publications/Publ-41218 doi:10.14278/rodare.3621 url:https://rodare.hzdr.de/communities/crc1415 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode 2D materials non-van der Waals compounds heterostructures interface design magnetism data-driven research computational materials science high-throughput computing Data publication: Non-van der Waals Heterostructures info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1692 2024-08-09T12:41:34Z openaire_data user-hzdr user-matter user-rodare user-elbe user-telbe

Chu, Hao Kovalev, Sergey Xiao Wang, Zi Schwarz, Lukas Dong, Tao Feng, Liwen Haenel, Rafael Kim, Min-Jae Phuong Hoang, Le Honasoge, Kedar David Dawson, Robert Putzky, Daniel Kim, Gideok Puviani, Matteo Chen, Min Awari, Nilesh Ponomaryov, Oleksiy Ilyakov, Igor Bluschke, Martin Boschini, Fabio Zonno, Marta Zhdanovich, Sergey Na, Mengxing Christiani, Georg Logvenov, Gennady Jones, David J. Damascelli, Andrea Minola, Matteo Keimer, Bernhard Manske, Dirk Wang, Nanlin Deinert, Jan-Christoph Kaiser, Stefan 2023-03-10 Research data and metadata that was used in the corresponding publication "Fano interference between collective modes in cuprate high-Tc superconductors" ( https://doi.org/10.1038/s41467-023-36787-4 ). https://rodare.hzdr.de/record/1692 10.14278/rodare.1692 oai:rodare.hzdr.de:1692 eng doi:10.17815/jlsrf-2-58 url:https://www.hzdr.de/publications/Publ-34765 url:https://www.hzdr.de/publications/Publ-34772 doi:10.14278/rodare.1691 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/telbe info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Terahertz Higgs spectroscopy ultrafast phase-resolved Superconductivity cuprates magnetic fields doping Research data: Fano interference between collective modes in cuprate high-Tc superconductors info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:358 2022-08-12T08:52:48Z openaire_data user-hzdr user-rodare

Schrader, Martin 2020-06-05 This set contains the raw data of the fluorescence scanning experiments used in the publication of "Quantification of peptide bound particles: A phage mimicking approach via site-selective immobilization on glass" by Schrader et al. https://rodare.hzdr.de/record/358 10.14278/rodare.358 oai:rodare.hzdr.de:358 url:https://www.hzdr.de/publications/Publ-31121 url:https://www.hzdr.de/publications/Publ-31119 doi:10.14278/rodare.357 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Raw data: "Quantification of peptide bound particles: A phage mimicking approach via site-selective immobilization on glass" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1098 2022-08-12T08:52:48Z openaire_data user-hzdr user-rodare

Schrader, Martin 2021-08-09 This set contains the raw data of the fluorescence scanning experiments used in the publication of "Quantification of peptide bound particles: A phage mimicking approach via site-selective immobilization on glass" by Schrader et al.. https://rodare.hzdr.de/record/1098 10.14278/rodare.1098 oai:rodare.hzdr.de:1098 url:https://www.hzdr.de/publications/Publ-31121 url:https://www.hzdr.de/publications/Publ-31119 doi:10.14278/rodare.357 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Raw data: "Quantification of peptide bound particles: A phage mimicking approach via site-selective immobilization on glass" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1830 2023-11-20T12:40:41Z software user-energy user-fwd user-hzdr user-rodare

Hessenkemper, Hendrik Starke, Sebastian Atassi, Yazan Ziegenhein, Thomas Lucas, Dirk 2022-08-05 This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer to the README.md for installation instructions and to the Prediction_demo.ipynb for usage demonstration. https://rodare.hzdr.de/record/1830 10.14278/rodare.1830 oai:rodare.hzdr.de:1830 eng url:https://www.hzdr.de/publications/Publ-34349 url:https://www.hzdr.de/publications/Publ-34350 doi:10.14278/rodare.1470 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Bubbly flows Deep Learning Computer Vision CNN Semantic segmentation Software for Bubble identification from images with machine learning methods info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2329 2023-11-20T12:40:41Z software user-energy user-fwd user-hzdr user-rodare

Hessenkemper, Hendrik Starke, Sebastian Atassi, Yazan Ziegenhein, Thomas Lucas, Dirk 2022-08-05 This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer to the README.md for installation instructions and to the Prediction_demo.ipynb for usage demonstration. Update The Prediction_demo.ipynb includes now an example how to prepare the predictions for the tracking algorithm of "Fate of bubble clusters rising in a quiescent liquid". The tracking code can be found here. https://rodare.hzdr.de/record/2329 10.14278/rodare.2329 oai:rodare.hzdr.de:2329 eng url:https://www.hzdr.de/publications/Publ-34349 url:https://www.hzdr.de/publications/Publ-34350 doi:10.14278/rodare.1470 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Bubbly flows Deep Learning Computer Vision CNN Semantic segmentation Software for Bubble identification from images with machine learning methods info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1133 2025-12-19T07:35:41Z software user-openfoam user-fwd user-hzdr user-energy user-rodare

Couteau, Arthur Colombo, Marco Kriebitzsch, Sebastian Parekh, Jigar Schlegel, Fabian Draw, Mazen Evdokimov, Ilya Hänsch, Susann Khan, Harris Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gašper Tekavčič, Matej 2021-08-23 The HZDR multiphase addon contains additional code for the open-source CFD software OpenFOAM, released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method). Within the OpenFOAM library the multiphaseEulerFoam framework is used for this type of simulation. The addon contains a modified multiphaseEulerFoam named HZDRmultiphaseEulerFoam with the full support of the HZDR baseline model set for polydisperse bubbly flows according to Liao et al. (Chem Eng Sci, 2019, Vol. 202, 55-69). In addition a solver dedicated to a hybrid modelling approach (dispersed and resolved interfaces, Meller et al., Int J Numer Meth Fluids. 2021, Vol. 93, 748-773) named cipsaMultiphaseEulerFoam is provided with the addon. This solver has an interface to the multiphaseEulerFoam framework and utilizes all available interfacial models of it. General enhancements modified turbulent wall functions of Menter according to Rzehak and Kriebitzsch (Int J Multiphase Flow, 2015, Vol. 68, 135-152) dynamic time step adjustment via PID controller HZDRmultiphaseEulerFoam bubble induced turbulence model of Ma et al. (Phys Rev Fluids, 2017, Vol. 2, 034301) drag model of Ishii and Zuber (AIChE Journal, 1979, Vol. 25, 843-855) without correction for swarm and/or viscous effects wall lubrication of Hosokawa et al. (ASME Joint US-European Fluids Engineering Division Conference, 2002) additional breakup and coalescence models for class method according to Liao et al. (Chem Eng Sci, 2015, Vol. 122, 336-349) degassing boundary condition (fvModel) lift force correlation of Hessenkemper et al. (Int J Multiphase Flow, 2021, Vol. 138, 103587) aspect ratio correlation of Ziegenhein and Lucas (Exp. Therm. Fluid Sci., 2017, Vol. 85, 248–256) real pressure treatment via explicit turbulent normal stress according to Rzehak et al. (Nucl Eng Des., 2021, Vol. 374, 111079) configuration files and tutorials for easy setup of baseline cases GPU-based accelerated computation of coalescence and breakup frequencies for the models of Lehr et al., AIChE J, 2002, Vol. 48, 2426-2443 (Petelin et al., NENE2021 conf., submitted) cipsaMultiphaseEulerFoam morphology adaptive modelling framework for predicting dispersed and resolved interfaces based on Eulerian multi-field two-fluid model compact momentum interpolation method according to Cubero et al. (Comput Chem Eng, 2014, Vol. 62, 96-107), including virtual mass numerical drag according to Strubelj and Tiselj (Int J Numer Methods Eng, 2011, Vol. 85, 575-590) to describe resolved interfaces in a volume-of-fluid like manner n-phase partial elimination algorithm for momentum equations to resolve strong phase coupling (Meller et al., Int J Numer Meth Fluids. 2021, Vol. 93, 748-773) free surface turbulence damping for k-ω SST (symmetric and asymmetric damping, Frederix et al., Nucl Eng Des, 2018, Vol. 333, 122-130) sub-grid scale modelling framework: additional LES models for the unclosed convective sub-grid scale term closure models for sub-grid surface tension term configuration files and tutorials for easy setup of hybrid cases This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)" https://rodare.hzdr.de/record/1133 10.14278/rodare.1133 oai:rodare.hzdr.de:1133 eng url:https://www.hzdr.de/publications/Publ-32194 doi:10.14278/rodare.767 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Multiphase Flow Numerical Simulations OpenFOAM CFD Finite volume method Baseline model Multi-field two-fluid model Eulerian-Eulerian model Momentum interpolation Partial elimination algorithm Free Surface HZDR Multiphase Addon for OpenFOAM info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1742 2025-12-19T07:35:42Z software user-openfoam user-fwd user-hzdr user-energy user-rodare

Couteau, Arthur Colombo, Marco Kriebitzsch, Sebastian Parekh, Jigar Zhang, Tingting Schlegel, Fabian Bilde, Kasper Gram Draw, Mazen Evdokimov, Ilya Hänsch, Susann Kamble, Vikrant Vinayak Khan, Harris Krull, Benjamin Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gašper Tekavčič, Matej 2022-06-21 The HZDR Multiphase Addon is a software publication released by Helmholtz-Zentrum Dresden-Rossendorf according to the FAIR principles (Findability, Accessibility, Interoperability, and Reuseability). It contains experimental research work for the open-source CFD software OpenFOAM, released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method). Within the OpenFOAM library the multiphaseEulerFoam framework is used for this type of simulation. The addon contains a modified solver named HZDRmultiphaseEulerFoam with the full support of the HZDR baseline model set for polydisperse bubbly flows. In addition a solver dedicated to a hybrid modelling approach (dispersed and resolved interfaces, Meller, Schlegel and Lucas, 2021) named cipsaMultiphaseEulerFoam is provided with the addon. This solver has an interface to the multiphaseEulerFoam framework and utilizes all available interfacial models of it. General enhancements modified turbulent wall functions of Menter according to Rzehak and Kriebitzsch (2015) dynamic time step adjustment via PID controller HZDRmultiphaseEulerFoam bubble induced turbulence model of Ma et al. (2017) drag model of Ishii and Zuber (1979) without correction for swarm and/or viscous effects wall lubrication model of Hosokawa et al. (2002) additional breakup and coalescence models for class method according to Kusters (1991) and Adachi et al. (1994) degassing boundary condition (fvModel) lift force correlation of Hessenkemper et al. (2021) lift force correlation of Saffman (1965) as extended by Mei (1992). aspect ratio correlation of Ziegenhein and Lucas (2017) real pressure treatment via explicit turbulent normal stress according to Rzehak et al. (2021) GPU-based accelerated computation of coalescence and breakup frequencies for the models of Lehr et al. (2002) (Petelin et al., 2021) configuration files and tutorials for easy setup of baseline cases according to Hänsch et al. (2021) cipsaMultiphaseEulerFoam morphology adaptive modelling framework for predicting dispersed and resolved interfaces based on Eulerian multi-field two-fluid model compact momentum interpolation method according to Cubero et al. (2014), including virtual mass numerical drag according to Strubelj and Tiselj (2011) to describe resolved interfaces in a volume-of-fluid like manner n-phase partial elimination algorithm for momentum equations to resolve strong phase coupling (Meller, Schlegel and Lucas, 2021) free surface turbulence damping (Frederix et al., 2018) for k-ω SST - symmetric and asymmetric - according to Tekavčič et al. (2021) sub-grid scale modelling framework (Meller, Schlegel and Klein, 2021) additional LES models for the unclosed convective sub-grid scale term closure models for sub-grid surface tension term configuration files and tutorials for easy setup of hybrid cases This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)" https://rodare.hzdr.de/record/1742 10.14278/rodare.1742 oai:rodare.hzdr.de:1742 eng url:https://www.hzdr.de/publications/Publ-32194 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32161 doi:10.14278/rodare.767 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Multiphase Flow Numerical Simulations OpenFOAM CFD Finite volume method Baseline model Multi-field two-fluid model Eulerian-Eulerian model Momentum interpolation Partial elimination algorithm Free Surface HZDR Multiphase Addon for OpenFOAM info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1869 2025-12-19T07:35:42Z software user-openfoam user-fwd user-hzdr user-energy user-rodare

Couteau, Arthur Colombo, Marco Kriebitzsch, Sebastian Kumaresh, Pramodh Parekh, Jigar Zhang, Tingting Schlegel, Fabian Bilde, Kasper Gram Draw, Mazen Evdokimov, Ilya Hänsch, Susann Kamble, Vikrant Vinayak Khan, Harris Krull, Benjamin Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gašper Tekavčič, Matej Kota, Sesi Preetam 2022-10-14 The HZDR Multiphase Addon is a software publication released by Helmholtz-Zentrum Dresden-Rossendorf according to the FAIR principles (Findability, Accessibility, Interoperability, and Reuseability). It contains experimental research work for the open-source CFD software OpenFOAM, released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method). Highlights of the provided addon are: HZDR Baseline Model: HZDRMultiphaseEulerFoam solver with full support of the HZDR baseline model set for polydisperse bubbly flows, including configuration files and tutorials for simplified setup of Baseline cases (Hänsch et al., 2021). Population Balance Modelling: A GPU-accelerated population balance method according to Petelin et al. (2021). OpenFOAM-Hybrid cipsaMultiphaseEulerFoam solver featuring a hybrid modelling approach (dispersed and resolved interfaces, Meller et al., 2021) with an interface to the multiphaseEulerFoam framework to utilise all available interfacial models, and configuration files and tutorials for easy setup of hybrid cases. more ... This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)" https://rodare.hzdr.de/record/1869 10.14278/rodare.1869 oai:rodare.hzdr.de:1869 eng url:https://www.hzdr.de/publications/Publ-32194 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32161 doi:10.14278/rodare.767 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Multiphase Flow Numerical Simulations OpenFOAM Computational Fluid Dynamics Finite volume method Baseline model Multi-field two-fluid model Euler-Euler method Momentum interpolation Partial elimination algorithm Free Surface Flows HZDR Multiphase Addon for OpenFOAM info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3284 2025-12-19T07:35:42Z software user-energy user-fwd user-hzdr user-openfoam user-rodare

Couteau, Arthur Colombo, Marco Haßlberger, Josef Kriebitzsch, Sebastian Kumaresh, Pramodh Parekh, Jigar Zhang, Tingting Wang, Chih-Ta Wang, Lisong Schlegel, Fabian Bilde, Kasper Gram Draw, Mazen Evdokimov, Ilya Hänsch, Susann Kamble, Vikrant Vinayak Khan, Haris Krull, Benjamin Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gasper Kota, Sesi Preetam Tekavcic, Matej 2024-11-29 The Multiphase Code Repository by HZDR for OpenFOAM Foundation Software is a software publication released by Helmholtz-Zentrum Dresden-Rossendorf according to the FAIR principles (Findability, Accessibility, Interoperability, and Reuseability). It contains experimental research work for the open-source software released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method).Acknowledgement: OpenFOAM(R) is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM(R) software via www.openfoam.com. The Multiphase Code Repository by HZDR for OpenFOAM Foundation Software is not compatible with the software released by OpenCFD Limited, but is based on the software released by the OpenFOAM Foundation via www.openfoam.orgHighlights of the Multiphase Code Repository by HZDRHZDR Baseline Model: addonMultiphaseEuler solver with full support of the HZDR baseline model set for polydisperse bubbly flows, including configuration files and tutorials for simplified setup of Baseline cases (Hänsch et al., 2021).Morphology-adaptive Multifield Two-fluid Model (MultiMorph): cipsaMultiphaseEuler solver featuring a morphology-adaptive modelling approach (dispersed and resolved interfaces, Meller et al., 2021) with an interface to the multiphaseEuler framework to utilise all available interfacial models, and configuration files and tutorials for easy setup of cases with the MultiMorph Model.more ... https://rodare.hzdr.de/record/3284 10.14278/rodare.3284 oai:rodare.hzdr.de:3284 eng doi:10.1002/aic.17539 doi:10.1007/s10494-021-00293-8 doi:10.1016/j.ces.2021.116807 doi:10.14278/rodare.198 url:https://www.hzdr.de/publications/Publ-29886 url:https://www.hzdr.de/publications/Publ-32194 url:https://www.hzdr.de/publications/Publ-32161 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-35412 url:https://www.hzdr.de/publications/Publ-36249 doi:10.14278/rodare.767 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Multiphase Flow Numerical Simulations OpenFOAM Computational Fluid Dynamics Finite volume method Baseline model Multi-field two-fluid model Euler-Euler method Momentum interpolation Partial elimination algorithm Free Surface Flows C++ C CUDA Shell Python Gnuplot Multiphase Code Repository by HZDR for OpenFOAM Foundation Software info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3354 2025-04-30T11:57:02Z software user-hzdr user-rodare user-casus

Hernandez Acosta, Uwe Thekke Veettil, Sachin Krishnan Wicaksono, Damar Canggih Michelfeit, Jannik Hecht, Michael 2024-12-20 minterpy is an open-source Python package for a multivariate generalization of the classical Newton and Lagrange interpolation schemes as well as related tasks. It is based on an optimized re-implementation of the multivariate interpolation prototype algorithm (MIP) by Hecht et al.1 and thereby provides software solutions that lift the curse of dimensionality from interpolation tasks. While interpolation occurs as the bottleneck of most computational challenges, minterpy aims to free empirical sciences from their computational limitations. https://rodare.hzdr.de/record/3354 10.14278/rodare.3354 oai:rodare.hzdr.de:3354 eng url:https://www.hzdr.de/publications/Publ-36106 doi:10.14278/rodare.2058 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/MIT multivariate interpolation multivariate polynomials numerical modelling Minterpy - multivariate polynomial interpolation info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3208 2024-10-21T14:18:12Z openaire_data user-fwd user-hzdr user-rodare user-rofex user-topflow

Barthel, Frank Sprewitz, Uwe Sohr, Johanna Schubert, Markus Bieberle, André Sohr, Johanna Barthel, Frank Sprewitz, Uwe Schubert, Markus 2024-10-18 This repository contains sequences of CT images of the two-phase flow in sandwich packings that are alternately arranged in a packing stack using B1-250 (specific geometric surface area is 250 m² /m³) for de-entrainment layer and B1-750 (specific geometric surface area is 750 m² /m³) for holdup layer. As measurement system the ultrafast electron beam X-ray computed tomography scanner was applied in dual plane scanning mode with a dual-imaging frequency of 1000 Hz. Operating parameters, the scanning plane as well as the tags "AB" for de-entrainment layer, "AN" for hold-up layer and "DRIVE" for an axial scan are encoded in the name of the data files. https://rodare.hzdr.de/record/3208 10.14278/rodare.3208 oai:rodare.hzdr.de:3208 eng url:https://www.hzdr.de/publications/Publ-39769 doi:10.14278/rodare.3207 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/rofex url:https://rodare.hzdr.de/communities/topflow info:eu-repo/semantics/restrictedAccess sandwich packings two-phase flow ultrafast electron-beam X-ray CT CT image sequences of sandwich packings: B1-250 plus B1-750 at constant liquid rate of 50 m³/(m²h) and various gas rates info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1499 2023-02-16T09:51:35Z openaire_data user-hzdr user-rodare

Ben Said, Borhane Pereira, Lucas Tolosana Delgado, Raimon Rudolph, Martin 2022-03-30 An open-source and user-friendly platform for using design of experiments for optimizing mineral processing. No specific knowledge of programming languages is required for using the platform. Depending on the user needs, the platform suggests the optimal experimental strategy with a minimum number of runs required. Different types of experimental designs such as screening, full factorial and central composite designs are currently available. The R shiny app can be accessed via: https://hifgeomet.shinyapps.io/Optimization_Tool/ https://rodare.hzdr.de/record/1499 10.14278/rodare.1499 oai:rodare.hzdr.de:1499 eng url:https://www.hzdr.de/publications/Publ-34457 doi:10.14278/rodare.1498 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode Design of experiments, Plant optimization, Mineral processing, Shiny R, Process Modelling A user-friendly R Platform for Optimizing Mineral Processing info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1508 2023-02-16T09:51:35Z openaire_data user-hzdr user-rodare

Ben Said, Borhane Pereira, Lucas Tolosana Delgado, Raimon Rudolph, Martin 2022-03-31 An open-source and user-friendly platform for using design of experiments for optimizing mineral processing. No specific knowledge of programming languages is required for using the platform. Depending on the user needs, the platform suggests the optimal experimental strategy with a minimum number of runs required. Different types of experimental designs such as screening, full factorial and central composite designs are currently available. The R shiny app can be accessed via: https://hifgeomet.shinyapps.io/Optimization_Tool/ https://rodare.hzdr.de/record/1508 10.14278/rodare.1508 oai:rodare.hzdr.de:1508 eng url:https://www.hzdr.de/publications/Publ-34457 doi:10.14278/rodare.1498 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode Design of experiments, Plant optimization, Mineral processing, Shiny R, Process Modelling A user-friendly R Platform for Optimizing Mineral Processing info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1509 2023-02-16T09:51:36Z openaire_data user-hzdr user-rodare

Ben Said, Borhane Pereira, Lucas Tolosana Delgado, Raimon Rudolph, Martin 2022-04-01 An open-source and user-friendly platform for using design of experiments for optimizing mineral processing. No specific knowledge of programming languages is required for using the platform. Depending on the user needs, the platform suggests the optimal experimental strategy with a minimum number of runs required. Different types of experimental designs such as screening, full factorial and central composite designs are currently available. The R shiny app can be accessed via: https://hifgeomet.shinyapps.io/Optimization_Tool/ https://rodare.hzdr.de/record/1509 10.14278/rodare.1509 oai:rodare.hzdr.de:1509 eng url:https://www.hzdr.de/publications/Publ-34457 doi:10.14278/rodare.1498 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode Design of experiments Plant optimization Mineral processing Shiny R Process Modelling A user-friendly R Platform for Optimizing Mineral Processing info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2872 2024-08-12T08:05:48Z openaire_data user-rodare user-health user-hzdr user-oncoray

Werner, Rahel-Debora Franke, Anna Makarevich, Krystsina Kögler, Toni Kögler, Toni Stach, Daniel Weinberger, David Wolf, Andreas Dreyer, Anne Makarevich, Krystsina Schellhammer, Sonja Pausch, Guntram Römer, Katja Tiebel, Jessica Turko, Joseph Alexander Bunker Wagner, Andreas Kögler, Toni 2024-05-16 The dataset contains the data reported on https://www.hzdr.de/publications/Publ-39073 where 2 proton bunch monitors (PBMs), namely the diamond detector and the cyclotron monitoring signal Uphi, are established, characterized, and applied for correcting the prompt gamma-ray timing (PGT) data. Experimental setup, irradiation modalities, data acquisition, and data pre- and postprocessing are described there. The process is summarized in the following: Experimental setup: A homogeneous cylindrical PMMA phantom was irradiated with a proton beam. Two sets of measurements were considered: S1) measurements at the horizontal fixed beamline with the control of the beam time structure and current. These data establish the relation between the investigated PBMs and calibrate them to the scattering setup that provides the proton bunch arrival time in the experimental room. The phantom was irradiated with 7 different proton energies Ep = {70, 90, 110, 130, 160, 190, 224} MeV. For each Ep, 3 irradiation modalities were applied: CW-mode represented the continuous beam lasting for 30 s, the beam current Ibeam = 2 nA for all Ep excluding 70 MeV (for 70 MeV, Ibeam = 0.5 nA); Plan I represented a clinically realistic plan with a spot duration of 4 ms and a spot repetition time of 7 ms. The beam current Ibeam = 1 nA for all Ep excluding 70 MeV (for 70 MeV, Ibeam = 0.5 nA); Plan II aimed to reproduce the measurements of Werner et al. (2019) in Phys. Med. Biol. 64 105023, 20pp (https://doi.org/10.1088/1361-6560/ab176d). For that, the spot duration was set to 69 ms, and the repetition time was 72 ms. The beam current Ibeam = 1 nA for all Ep excluding 70 MeV (for 70 MeV, Ibeam = 0.5 nA). S2) measurements at the pencil beam scanning (PBS) beamline were similar to those at the clinical beam delivery nozzle. The PBS beamline delivers the beam as spots of given intensity (expressed in MU), (x,y)-coordinates, and energy (corresponds to the penetration depth or z-coordinate). These data comprise data from the PGT detector and PBMs and are used to correct the PGT data employing the investigated PBMs. The phantom was irradiated with 8 different proton energies Ep = {70, 90, 110, 130, 162, 180, 200, 220} MeV. For every energy, 2 spot intensities were considered: 0.1 MU per 1 spot (~1e7 protons) and 1 MU per 1 spot (~1e8 protons). For Ep = 162 MeV, an additional spot intensity of 10 MU per 1 spot (~1e9 protons) was applied to reproduce the measurements of Werner et al. (2019) in Phys. Med. Biol. 64 105023, 20pp (https://doi.org/10.1088/1361-6560/ab176d). Data preprocessing: The raw data of each measurement were converted from the binary list-mode format to ROOT TTrees. The data were corrected for the photomultiplier gain drift, and digitalization time non-linearities, and the integral signal was converted into deposited energy. For the measurements at the fixed beamline, the coincidence analysis was applied additionally for non-PBM detectors. The data were assigned to individual corresponding spots for the PBS beamline measurements. Data structure: The ROOT files are named u100-p00XX-yyyy-mm-dd_HH.MM.SS+TZ.root where p00XX is the detector’s number, yyyy-mm-dd_HH.MM.SS is the time of the measurement, and TZ is the time zone. Here, p0012 and p0019 mean scintillating detectors that were used both at the fixed beamline, and only detector p0012 was used for PGT measurements at the PBS beamline. P0015 is the diamond detector, and p0017 contains data of the Uphi signal. In general, the data structure inside the ROOT files is different depending on the purpose of the detector. However, there are some general includes: data (TTree) contains list-mode data which comprises uncorrected data: before corrections and calibrations steps; corrected data: after correcations and calibrations steps; meta (TTree) is a measurement metadata (applied detector voltage, the start time of the measurements, etc.); histograms is a directory with selected example histograms (uncorrected); analysis is a directory with histograms with corrected data used for the analysis. For further questions, please refer to the contact persons stated above. https://rodare.hzdr.de/record/2872 10.14278/rodare.2872 oai:rodare.hzdr.de:2872 eng doi:10.14278/rodare.2872 url:https://www.hzdr.de/publications/Publ-39104 url:https://www.hzdr.de/publications/Publ-39104 url:https://www.hzdr.de/publications/Publ-39104 doi:10.14278/rodare.2872 url:https://www.hzdr.de/publications/Publ-39104 doi:10.14278/rodare.2872 url:https://www.hzdr.de/publications/Publ-39073 url:https://www.hzdr.de/publications/Publ-39104 doi:10.14278/rodare.2871 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode prompt gamma timing PGT proton bunch monitor PBM proton range verification Experimental data for investigating proton bunch monitors for clinical translation of prompt gamma-ray timing info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4192 2025-12-16T13:21:14Z software user-energy user-fwd user-hzdr user-openfoam user-rodare

Couteau, Arthur Kriebitzsch, Sebastian Kumaresh, Pramodh Mohite, Onkar Simroth, Patrick Upadhyay, Kartik Hänsch, Susann Draw, Mazen Evdokimov, Ilya Kamble, Vikrant Vinayak Khan, Haris Krull, Benjamin Lehnigk, Ronald Li, Shiwang Liao, Yixiang Lyu, Hongmei Meller, Richard Papagni, Romina Mirdiona Riviera, Elena Schlegel, Fabian Tekavčič, Matej 2025-12-16 This repository contains simulation setups for the Multiphase Code Repository by HZDR for OpenFOAM Foundation Software. The simulation setups are separated into mono- and polydisperse bubbly flows utilising the Baseline model by HZDR set, setups for a morphology-adaptive multifield two-fluid model (disperse and resolved interfaces) and miscellaneous cases.Acknowledgement: OpenFOAM(R) is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM(R) software via www.openfoam.com. The Multiphase Cases Repository by HZDR for OpenFOAM Foundation Software is not compatible with the software released by OpenCFD Limited, but is based on the software released by the OpenFOAM Foundation via www.openfoam.org https://rodare.hzdr.de/record/4192 10.14278/rodare.4192 oai:rodare.hzdr.de:4192 eng doi:10.1002/aic.17539 doi:10.1007/s10494-021-00293-8 doi:10.1016/j.ces.2021.116807 url:https://www.hzdr.de/publications/Publ-32364 url:https://www.hzdr.de/publications/Publ-32161 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-35412 doi:10.14278/rodare.811 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Multiphase Flow Numerical Simulations OpenFOAM Computational Fluid Dynamics Baseline model Multi-field two-fluid model Partial elimination algorithm Free Surface Euler-Euler Method Shell Python Gnuplot C++ Multiphase Cases Repository by HZDR for OpenFOAM Foundation Software info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4483 2026-02-02T12:38:02Z openaire_data user-rodare user-fwo user-hzdr

Lindemann, Marcel Schöngart, Jann Štursa, Jan Franke, Karsten 2026-01-29 Data of a PTFE phantom filled with 83Sr tracer as supplemental information of the publication "Cyclotron production and purification of 83Sr as a 90Sr substitute for Positron Emission Tomography (PET) " The data in this publication consists of: µCT data Phantom_nlm_uint16_1081x1068x919_50um.raw: µCT of the Phantom. Voxel size = 50 µm. Format: 3D-array of uInt16, x=1:1081, y=1:1068, z=1:919. Positron emission tomography data Phantom_PTFE_83Sr_PET: PET data is stored as three-dimensional binary arrays of floats, with a voxel size of 1.15 mm. *.v contains the volume, *.hv contains the interfile header The data is presented with the Scatter, Random and RandomMismatch-Corrections from STIR (Thielemans et al., 2012) applied. Please note: There is a fiducial present in both CT (2x10mm cylinder attached to the outer wall), as well as in PET data. The positions of those does NOT coincide in the presented data, as the CT data was acquired for a different experiment, and alignment for this study was instead conducted based on the bore hole positions. The project received funding from the BMBF, grant number 02NUK066A. https://rodare.hzdr.de/record/4483 10.14278/rodare.4483 oai:rodare.hzdr.de:4483 url:https://www.hzdr.de/publications/Publ-42922 url:https://www.hzdr.de/publications/Publ-42867 doi:10.14278/rodare.4482 url:https://rodare.hzdr.de/communities/fwo url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess positron emission tomography computed tomography Cyclotron production and purification of 83Sr as a 90Sr substitute for Positron Emission Tomography (PET) - data publication info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:198 2024-08-14T11:26:21Z openaire_data user-hzdr user-fwd user-rodare user-topflow

Neumann-Kipping, Martin Hampel, Uwe Bieberle, André Neumann-Kipping, Martin Hampel, Uwe 2019-12-01 For the investigation of bubbly two-phase flow, which should serve as a future benchmark experiment for CFD code validation, an experimental study has been conducted at the Transient Two-Phase Flow (TOPFLOW) facility at Helmholtz-Zentrum Dresden – Rossendorf (HZDR) using ultrafast electron beam X-ray tomography (UFXRAY). In this study, flow constrictions were installed into a pipe to create a generic three-dimensional flow field as an advanced test case for CFD codes. UFXRAY provide valueable data of the gas phase dynamics with high temporal and spatial resolution. The provided data set contains the entire results of the experimental series L32 that uses a ring-shaped flow constriction with a blockage ratio of 0.5. An additional info.txt file provides all required information (e.g. nomenclature or binary file structure) and is, thus, necessary for interpretation of the experimental data. This work is funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) with the grant number 1501481 on the basis of a decision by the German Bundestag. https://rodare.hzdr.de/record/198 10.14278/rodare.198 oai:rodare.hzdr.de:198 eng doi:10.14278/rodare.124 doi:10.14278/rodare.139 doi:10.14278/rodare.122 doi:10.14278/rodare.137 doi:10.14278/rodare.1195 url:https://www.hzdr.de/publications/Publ-29886 doi:10.14278/rodare.197 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/topflow info:eu-repo/semantics/restrictedAccess ultrafast X-ray computed tomography bubbly two-phase flow three-dimensional flow field two-phase pipe flow flow constriction experimental benchmark data Hydrodynamic experimental benchmark data of bubbly two-phase pipe flow around a ring-shaped constriction info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1272 2021-11-25T12:42:59Z user-fwd user-hzdr user-rodare

Pizzi, Federico Giesecke, André Simkanin, Jan Stefani, Frank 2021-11-25 This dataset included the data and figures for the associated publication "Prograde and retrograde precession of a fluid-filled cylinder". https://rodare.hzdr.de/record/1272 10.14278/rodare.1272 oai:rodare.hzdr.de:1272 url:https://www.hzdr.de/publications/Publ-33455 url:https://www.hzdr.de/publications/Publ-33464 doi:10.14278/rodare.1271 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode precession core flow dynamo instability transition Data publication: Prograde and retrograde precession of a fluid-filled cylinder info:eu-repo/semantics/other other

oai:rodare.hzdr.de:3647 2025-09-30T09:22:00Z openaire_data user-energy user-hzdr user-rodare

Sygusch, Johanna 2025-03-26 The repository contains data of the dissertation: Title: A contribution to the multidimensional characterisation and separation of ultrafine particles Author: M.Sc. Johanna Sygusch Faculty: Faculty of Mechanical, Process and Energy Engineering of the Technische Universität Bergakademie Freiberg Year: 2025 It contains Excel sheets with the summarized data, as well as two zip files containing the flow cytometry measurements and the MLA images. https://rodare.hzdr.de/record/3647 10.14278/rodare.3647 oai:rodare.hzdr.de:3647 eng url:https://www.hzdr.de/publications/Publ-41143 doi:10.14278/rodare.3646 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Flotation Wettability Ultrafine particles Multidimensional Separation Fine particle characterisation A contribution to the multidimensional characterisation and separation of ultrafine particles (Dissertation data) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:615 2022-06-15T12:21:34Z user-hzdr user-rodare

Bartie, Neill Jacques Heibeck, Magdalena Bartie, Neill Jacques Heibeck, Magdalena 2020-11-27 A process simulation model for the production and purification of Zinc via the Roast-Leach-Electrowinning (RLE) process and the subsequent production of its byproduct, Cadmium. It also includes a process for the precipitation of jarosite, and produces residues that can be further processed for the production of Copper and Cobalt. The refining of crude Lead (Pb) bullion is included as a separate stand-alone section. The simulation was created using flowsheet configurations and operating parameters available in the public domain. Feed and product stream compositions are therefore metallurgically sound and representative of industrial operations that use the processes modelled. The simulation remains an abstraction of reality, however, and should be verified and adopted to the specific operation under consideration. The model was developed using the HSC Sim Flowsheet Module in HSC Chemistry 10 (version 10.0.0.5). (https://www.outotec.com/products-and-services/technologies/digital-solutions/hsc-chemistry/) Note: The authors do not accept responsibility for any errors. The onus is on the user to verify and validate results against the system being investigated, as system configurations and operating parameters differ from site to site. https://rodare.hzdr.de/record/615 10.14278/rodare.615 oai:rodare.hzdr.de:615 eng url:https://www.hzdr.de/publications/Publ-31779 doi:10.14278/rodare.614 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Process Simulation Metal production Zinc Cadmium Lead Copper Cobalt Jarosite Process Simulation: Zinc and Cadmium production, Lead refining info:eu-repo/semantics/other other

oai:rodare.hzdr.de:194 2026-02-27T10:10:01Z openaire_data user-hzdr user-rodare

Knodel, Oliver Gruber, Thomas Müller, Stefan Juckeland, Guido 2019-11-06 Top-Level Architecture of the proposed HZDR Data Management Strategy https://rodare.hzdr.de/record/194 10.14278/rodare.194 oai:rodare.hzdr.de:194 eng url:https://www.hzdr.de/publications/Publ-29873 doi:10.14278/rodare.193 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/legalcode data management HZDR Data Management Strategy — Top-Level Architecture info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:252 2026-02-27T10:00:34Z openaire_data user-hzdr user-rodare

Knodel, Oliver Gruber, Thomas Müller, Stefan Juckeland, Guido 2020-02-12 Top-Level Architecture of the proposed HZDR Data Management Strategy https://rodare.hzdr.de/record/252 10.14278/rodare.252 oai:rodare.hzdr.de:252 eng url:https://www.hzdr.de/publications/Publ-29873 doi:10.14278/rodare.193 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/legalcode data management HZDR Data Management Strategy — Top-Level Architecture info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2162 2026-02-27T10:00:34Z openaire_data user-hzdr user-rodare

Knodel, Oliver Gruber, Thomas Kelling, Jeffrey Lokamani, Mani Müller, Stefan Pape, David Juckeland, Guido 2023-02-23 Top-Level Architecture of the proposed HZDR Data Management Strategy with additional description of the various systems and services. https://rodare.hzdr.de/record/2162 10.14278/rodare.2162 oai:rodare.hzdr.de:2162 eng url:https://www.hzdr.de/publications/Publ-29873 doi:10.14278/rodare.193 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/legalcode data management heliporot meta data FAIR data provenance workflows HZDR Data Management Strategy — Top-Level Architecture info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2513 2026-02-27T10:00:35Z openaire_data user-hzdr user-rodare

Knodel, Oliver Gruber, Thomas Kelling, Jeffrey Lokamani, Mani Müller, Stefan Pape, David Juckeland, Guido 2023-02-23 This data publication contains an overview to the Top-Level Architecture of the proposed HZDR Data Management Strategy with additional description of the various systems and services. The Helmholtz-Zentrum Dresden-Rossendorf (HZDR) pursues a comprehensive data management strategy that is designed as an architecture of services to describe and manage scientific experiments in a sustainable manner. This strategy is based on the FAIR principles and aims to ensure the findability, accessibility, interoperability and reusability of research data. The HZDR's comprehensive data lifecycle covers all phases of the data lifecycle: from planning and collection to analysis, storage, publication and archiving. Each phase is supported by specialised services and tools that help scientists to efficiently collect, store and share their data. These services include: Electronic lab notebook: for the digital recording and management of lab experiments and data. Data management plans (RDMO): For planning and organising data management during a research project. (Time Series) Databases: For structured storage and retrieval of research data. File systems: For storing and managing files in a controlled environment. Publication systems (ROBIS, RODARE): For the publication and accessibility of research data and results. Metadata catalogue (SciCat): For describing data in a wide variety of subsystems using searchable metadata Repositories (Helmholtz Codebase): For archiving, version control and provision of software, special data sets and workflows. Proposal Management System (GATE): For the administration of project proposals and approvals. The superordinate web service HELIPORT plays a central role here. HELIPORT acts as a gateway and connecting service that links all components of the Data Management Strategy and describes them in a sustainable manner. HELIPORT ensures standardised access to the various services and tools, which considerably simplifies collaboration and the exchange of data. https://rodare.hzdr.de/record/2513 10.14278/rodare.2513 oai:rodare.hzdr.de:2513 eng url:https://www.hzdr.de/publications/Publ-29873 doi:10.14278/rodare.946 doi:10.14278/rodare.2269 doi:10.52825/cordi.v1i.277 doi:10.14278/rodare.3132 doi:10.14278/rodare.193 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/legalcode data management heliporot meta data FAIR data provenance workflows HZDR Data Management Strategy — Top-Level Architecture info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:264 2022-12-02T10:03:01Z openaire_data openaire_data openaire_data openaire_data user-ecfunded user-fwd user-hzdr user-rodare

Sommer, Anna-Elisabeth Rox, Hannes Eckert, Kerstin Shi, Pengyu Rzehak, Roland 2020-11-15 A solid-liquid flow in stirred tanks occurs frequently in different branches of process engineering where particles need to be suspended in a liquid. Computational Fluid Dynamics (CFD) simulations of this type of flow on industrial scales are feasible if the closure models implemented therein are appropriate. A large number of closure models exist but, due to a lack of data sources for validation, no systematic assessment of these different models has appeared so far. The present dataset aims to accumulate a comprehensive ''CFD-grade'' database based on experiments on single-phase and two-phase flows in a standardized stirred tank with a diameter of 90 mm. The velocity fields of the liquid phase (deionized water) and, in the two-phase case, the solid phase were measured with Particle Image Velocimetry (PIV) and Particle Shadow Velocimetry (PSV), respectively. The experiments cover a range of parameters to achieve an extensive database. A narrow particle distribution of nearly neutrally buoyant particles (polyethylene spheres), as well as heavy particles (glass spheres) in suspension, are considered over a range of particle diameters (63µm-500µm), solid volume fractions (0.025 vol% - 0.1vol%), as well as impeller rotation speeds (650rpm - 1500rpm). The transient flow field on the plane midway between two baffles was recorded over 50 impeller rotations to achieve statistical significance. The time-averaged (or angle-resolved) mean and fluctuation velocities were then obtained by averaging the transient data in the laboratory frame of reference (or the frame of reference rotating with the impeller). The data is organized and analyzed as described in the corresponding journal publication "Solid-liquid Flow in Stirred Tanks: ”CFD-grade” Experimental Investigation". https://rodare.hzdr.de/record/264 10.14278/rodare.264 oai:rodare.hzdr.de:264 eng info:eu-repo/grantAgreement/EC/H2020/821265/ url:https://www.hzdr.de/publications/Publ-31713 url:https://www.hzdr.de/publications/Publ-31701 doi:10.14278/rodare.263 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode stirred tanks solid-liquid flow Particle Image Velocimetry (PIV) Particle Shadow Velocimetry (PSV) "Computational Fluid Dynamics (CFD)-grade" database "CFD-grade" Experimental data for Solid-liquid Flow in a Stirred Tank info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2503 2024-08-14T11:34:24Z user-hzdr user-rodare user-hibef

Toncian, Toma Habibi, Mahdi Toncian, Toma 2023-10-06 This dissertation investigates the effect of macroscopic electric and magnetic fields on bremsstrahlung emission in high-intensity laser-plasma interactions, specifically in the regime of relativistic-induced transparency. The Particle-in-Cell (PIC) EPOCH simulation code has been updated to incorporate a new suppression mechanism influenced by the presence of intense electric and magnetic fields. The study compared the bremsstrahlung emissions generated under relativistic transparency conditions using three distinct models: the original bremsstrahlung model in the EPOCH code, the model modified by the magnetic suppression (MS) effect, and the newly proposed suppression model by the electric and magnetic suppression (EMS) effect. The results demonstrated that macroscopic electric and magnetic fields have a significant effect on the decrease of bremsstrahlung photons in laser-plasma interactions. In addition, differences in electron dynamics were observed between the EPOCH and EMS models, indicating that the suppression mechanism can influence the dynamics of electron acceleration. The study provides insight into bremsstrahlung emission under extreme conditions, where energetic electrons travel through a relativistically transparent plasma while being deflected by magnetic fields with MT-level strength. On the basis of the results, it is suggested that the implementation of conventional bremsstrahlung in PIC codes be modified to account for the discussed suppression effect. https://rodare.hzdr.de/record/2503 10.14278/rodare.2503 oai:rodare.hzdr.de:2503 url:https://www.hzdr.de/publications/Publ-37654 url:https://www.hzdr.de/publications/Publ-37663 doi:10.14278/rodare.2502 url:https://rodare.hzdr.de/communities/hibef url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess EPOCH PIC code EMS model Bremsstrahlung Suppression Relativistic Transparency High Field Suppression of Bremsstrahlung Emission in High-Intensity Laser-Plasma Interactions info:eu-repo/semantics/other other

oai:rodare.hzdr.de:2505 2026-02-27T10:10:01Z openaire_data user-fwd user-hzdr user-rodare user-rofex

Papapetrou, Theodoros Nestor Bieberle, Martina Barthel, Frank Hampel, Uwe Lecrivain, Gregory 2023-03-31 Original video camera data, and time-averaged, beam-hardening-corrected, drift-corrected dynamic and static UFXCT image data used in the associated publication; code used for the final processing; and the final processed data. More details are found in the publication and in the info in the respective folders. https://rodare.hzdr.de/record/2505 10.14278/rodare.2505 oai:rodare.hzdr.de:2505 eng url:https://www.hzdr.de/publications/Publ-36765 url:https://www.hzdr.de/publications/Publ-39067 url:https://www.hzdr.de/publications/Publ-36766 doi:10.14278/rodare.2241 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/rofex info:eu-repo/semantics/restrictedAccess granular mixing rotating drum ultrafast X-ray computed tomography image processing Data and code: Investigating binary granular mixing in a rotating drum using ultrafast X-ray computed tomography info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:609 2020-11-26T14:44:05Z user-hzdr user-rodare

Heibeck, Magdalena Bartie, Neill Jacques Abadias Llamas, Alejandro Reuter, Markus Andreas Heibeck, Magdalena Bartie, Neill Jacques Abadias Llamas, Alejandro Reuter, Markus Andreas 2020-11-26 This file contains an HSC model for cadmium and tellurium refining starting from by-products coming from a copper precious metals refinery, lead and zinc flowsheets, manufacturing of a CdTe photovoltaic module and its recycling process based on data found in literature. The model was used to perform a resource efficiency, including exergy, and environmental impact (LCA) evaluation of the life cycle of a CdTe photovoltaic module. This model was used in the Master’s thesis “Simulation-based assessment of resource efficiency and environmental impacts of a CdTe photovoltaic life cycle” by Magdalena Heibeck and for the publications “The simulation-based analysis of the circular economy – the enabling role of metallurgical infrastructure” published in the “Mineral Processing and Extractive Metallurgy” journal on 08/11/2019 (https://doi.org/10.1080/25726641.2019.1685243) and “Simulation-based Exergy Analysis of Large Circular Economy Systems: Zinc Production Coupled to CdTe Photovoltaic Module Life Cycle” published in the “Journal of Sustainable Metallurgy” on 17/12/2019 (https://doi.org/10.1007/s40831-019-00255-5). Detailed information about the literature sources used for developing the model can be found in the references above. The model can only be opened with HSC software and was made with HSC version 10.0.0.5 (https://www.outotec.com/HSC). https://rodare.hzdr.de/record/609 10.14278/rodare.609 oai:rodare.hzdr.de:609 eng doi:10.1080/25726641.2019.1685243 doi:10.1007/s40831-019-00255-5 url:https://www.hzdr.de/publications/Publ-31770 doi:10.14278/rodare.608 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Process Simulation Model Resource Efficiency Photovoltaics Recycling LCA Exergy Digital Twin Metallurgy CdTe refining + photovoltaic manufacturing + recycling HSC model info:eu-repo/semantics/other other

oai:rodare.hzdr.de:2156 2023-02-17T08:16:29Z openaire_data user-fwd user-hzdr user-rodare

Dung, On-Yu Boden, Stephan 2023-02-10 Postprocessed 3D raw attenuation data of lab-scale zero-gap water electrolysers at different operating conditions. The data was collected within the project grant number KICH1.ED04.20.014 of the research programme ECCM KICkstart DE-NL of the Dutch Research Council (NWO). The responsibility for the content of this publication lies with the authors. https://rodare.hzdr.de/record/2156 10.14278/rodare.2156 oai:rodare.hzdr.de:2156 url:https://www.hzdr.de/publications/Publ-36539 doi:10.14278/rodare.2155 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess X-ray computed tomography Microtomography Zero-gap electrolyser Fluid Dynamics Data publication: 3D gas distribution in lab-scale zero-gap water electrolysers measured by 3D X-ray computed microtomography info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3828 2025-07-04T06:53:15Z openaire_data user-fwk user-health user-hzdr user-oncoray user-rodare

Turko, Joseph Lutz, Benjamin Meric, Ilker Müller, Sara Tabea Ratliff, Hunter Römer, Katja Ellen Urban, Konstantin Kögler, Toni 2025-06-24 This data set contains the experimental raw data from the measurement campaign at PTB in March 2024 funded by the European Innovation Council (EIC). Setup: The miniNOVO prototype (version 4) consists of 14 organic scintillator elements (7 × M600 and 7 × organic glas scintillator) of the dimensions \(12 × 12 × 140~\text{mm}³\). The scintillator bars have dual readout composed of 2 × Hamamatsu R7378A (1’’) PMTs1, 4 × Hamamatsu S14161-3050HS-04 SiPM1 + U3012 (+ custom front-end electronics) and 8 × Hamamatsu R2059-01 (2’’) PMTs1. The data was recorded with 2 CAEN V1730S3 14-bit, 16-channel digitizers (named dta and dtb) with a sampling frequency of 500 MS/s. A 1’’ CeBr3-detector was employed as a reference detector and positioned centrally behind the array. This detector was used for time calibration and time-of-flight measurements as start detector with a Pu-238 source. The detector array was irradiated head-on with mono-energetic neutron fields at the PIAF accelerator facility (Tandetron accelerator) of the energies \(E_n = \{ 1.2, 2.5, 6.5, 14.8, 17.0, 19.0\}~\text{MeV}\). The array position was shifted in two dimensions in 1 cm increments for the \(14.8~\text{MeV}\) measurements, in 5cm increments for \(17.0~\text{MeV}\) and at 1, 2 and 5 cm in both directions for the remaining energies. Data structure: The directory calibration contains six subdirectories dedicated to the time calibration with the reference detector, the position calibration with a Sr-90 source, the energy calibration with a Bi-207 and a Na-22 source, the gate optimisation and the gain matching. In the neutron_beam folder the measurements with the different neutron fields can be found, sorted into the corresponding subdirectory by energy. Waveform data recorded with a Pu-238 source is saved in the waveform_data folder and measurements with the reference detector can be found in the reference_detector directory. All other measurements and test runs are stored in the tests folder. influxDB holds the slow control data entries in a csv file and the main configuration files for the digitizers are saved in the DDAQconfig folder. In documentation a pdf-file of the elog providing more detailed information about the individual data files and a pdf-file with the detector setup are stored. Data Format: All data is saved in root files which each contain two root trees, one for each digitizer, named “dta” and “dtb”. The trees hold the following information in the form of listmode data for each event: digitizer channel ("channel"), charge integrated over long gate ("Elong"), charge integrated over short gate ("Eshort"), digitizer flags ("flags") and the timestamp (separated in three parts: "timestamp", "timestampExtended", "time"). Additionally, the root files also contain an TArrayD which denotes the start time of the measurement in UNIX time at its first index and the stop time at its second. There are two configuration files for each data file (named “filename_dtx.config”), one for each digitizer card. These text files contain the information about the digitizer settings for each run. [1] Hamamatsu Photonics Deutschland GmbH, Arzbergerstr. 10, 82211 Herrsching am Ammersee, Germany. [2] Target Systemelektronik, Heinz-Fangman-Straße 4, 42287 Wuppertal, Germany. [3] CAEN S.p.A., Via Vetraia 11, 55049 Viareggio (LU), Italy. The NOVO project has received funding from the European Innovation Council (EIC) under grant agreement No. 101130979. The EIC receives support from the European Union's Horizon Europe research and innovation programme. Partners from The University of Manchester has received funding from UK Research and Innovation under grant agreement No. 10102118 https://rodare.hzdr.de/record/3828 10.14278/rodare.3828 oai:rodare.hzdr.de:3828 eng url:https://www.hzdr.de/publications/Publ-41530 doi:10.14278/rodare.3827 url:https://rodare.hzdr.de/communities/fwk url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess NOVO Neutron imaging Dual particle imaging Monoenergetic neutron fields Range verification in proton therapy PTB Neutron imaging and light output calibration with the miniNOVO prototype at the Physikalisch-Technische Bundesanstalt (PTB) Braunschweig info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:373 2024-08-14T10:43:08Z openaire_data user-fwd user-hzdr user-rodare user-topflow

Assis Dias, Felipe de Nunes Dos Santos, Eduardo Da Silva, Marco Jose Schleicher, Eckhard Morales, R. E. M. Hewakandamby, B. Hampel, Uwe 2020-06-16 Data set used on the work "New Algorithm to Discriminate Phase Distribution of Gas-Oil-Water Pipe Flow with Dual-Modality Wire-Mesh Sensor". Data were acquired using a dual-modality wire-mesh sensor designed by the Brazilian partner UTFPR. The experiments were performed at the University of Nottingham in a water-oil liquid-liquid flow loop. However, the gas phase was introduced into the system to perform stratified three-phase flow measurements as a proof of concept. In this set of data, you find the calibrated amplitude and phase signals of nine points as well as permittivity and conductivity estimations (post-processing). https://rodare.hzdr.de/record/373 10.14278/rodare.373 oai:rodare.hzdr.de:373 eng url:https://www.hzdr.de/publications/Publ-31152 url:https://www.hzdr.de/publications/Publ-31145 doi:10.14278/rodare.372 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/topflow info:eu-repo/semantics/restrictedAccess complex impedance flow visualization gas-oil-water horizontal flow three-phase wire-mesh sensor New algorithm to discriminate phase distribution of gas-oil-water pipe flow with dual-modality wire-mesh sensor - Data set info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:340 2020-10-30T12:48:10Z user-hzdr user-matter user-rodare

Baraban, Larysa Klinghammer, Stephanie Rauch, Sebastian Uhlmann, Petra Pregl, Sebastian Cuniberti, Gianaurelio 2020-05-20 Figure compilations with the access to the origin files of the graphs. Created by Stephanie Klinghammer and Larysa Baraban: fabrication of SiNQ, measurements) https://rodare.hzdr.de/record/340 10.14278/rodare.340 oai:rodare.hzdr.de:340 eng url:https://www.hzdr.de/publications/Publ-31055 url:https://www.hzdr.de/publications/Publ-30945 doi:10.14278/rodare.339 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess polymer brushes functionalization iv curves Figure and data from 'Surface Modification of Silicon Nanowire Based Field Effect Transistors with Stimuli Responsive Polymer Brushes for Biosensing Applications' info:eu-repo/semantics/other image-figure

oai:rodare.hzdr.de:1048 2025-12-19T07:35:41Z software user-openfoam user-fwd user-hzdr user-energy user-rodare

Couteau, Arthur Colombo, Marco Kriebitzsch, Sebastian Parekh, Jigar Schlegel, Fabian Draw, Mazen Evdokimov, Ilya Hänsch, Susann Khan, Harris Lehnigk, Ronald Meller, Richard Petelin, Gašper Tekavčič, Matej 2021-07-01 The HZDR multiphase addon contains additional code for the open-source CFD software OpenFOAM, released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method). Within the OpenFOAM library the multiphaseEulerFoam framework is used for this type of simulation. The addon contains a modified multiphaseEulerFoam named HZDRmultiphaseEulerFoam with the full support of the HZDR baseline model set for polydisperse bubbly flows according to Liao et al. (Chem Eng Sci, 2019, Vol. 202, 55-69). In addition a solver dedicated to a hybrid modelling approach (dispersed and resolved interfaces, Meller et al., Int J Numer Meth Fluids. 2021, Vol. 93, 748-773) named cipsaMultiphaseEulerFoam is provided with the addon. This solver has an interface to the multiphaseEulerFoam framework and utilizes all available interfacial models of it. General enhancements modified turbulent wall functions of Menter according to Rzehak and Kriebitzsch (Int J Multiphase Flow, 2015, Vol. 68, 135-152) dynamic time step adjustment via PID controller HZDRmultiphaseEulerFoam bubble induced turbulence model of Ma et al. (Phys Rev Fluids, 2017, Vol. 2, 034301) drag model of Ishii and Zuber (AIChE Journal, 1979, Vol. 25, 843-855) without correction for swarm and/or viscous effects wall lubrication of Hosokawa et al. (ASME Joint US-European Fluids Engineering Division Conference, 2002) additional breakup and coalescence models for class method according to Liao et al. (Chem Eng Sci, 2015, Vol. 122, 336-349) degassing boundary condition (fvModel) lift force correlation of Hessenkemper et al. (Int J Multiphase Flow, 2021, Vol. 138, 103587) aspect ratio correlation of Ziegenhein and Lucas (Exp. Therm. Fluid Sci., 2017, Vol. 85, 248–256) real pressure treatment via explicit turbulent normal stress according to Rzehak et al. (Nucl Eng Des., 2021, Vol. 374, 111079) configuration files and tutorials for easy setup of baseline cases cipsaMultiphaseEulerFoam morphology adaptive modelling framework for predicting dispersed and resolved interfaces based on Eulerian multi-field two-fluid model compact momentum interpolation method according to Cubero et al. (Comput Chem Eng, 2014, Vol. 62, 96-107), including virtual mass numerical drag according to Strubelj and Tiselj (Int J Numer Methods Eng, 2011, Vol. 85, 575-590) to describe resolved interfaces in a volume-of-fluid like manner n-phase partial elimination algorithm for momentum equations to resolve strong phase coupling (Meller et al., Int J Numer Meth Fluids. 2021, Vol. 93, 748-773) free surface turbulence damping for k-ω SST (symmetric and asymmetric damping, Frederix et al., Nucl Eng Des, 2018, Vol. 333, 122-130) sub-grid scale modelling framework: additional LES models for the unclosed convective sub-grid scale term closure models for sub-grid surface tension term configuration files and tutorials for easy setup of hybrid cases This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)" https://rodare.hzdr.de/record/1048 10.14278/rodare.1048 oai:rodare.hzdr.de:1048 eng url:https://www.hzdr.de/publications/Publ-32194 doi:10.14278/rodare.767 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Multiphase Flow Numerical Simulations OpenFOAM CFD Finite volume method Baseline model Multi-field two-fluid model Eulerian-Eulerian model Momentum interpolation Partial elimination algorithm Free Surface HZDR Multiphase Addon for OpenFOAM info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1195 2025-12-19T07:35:41Z software software software user-openfoam user-fwd user-hzdr user-energy user-rodare

Couteau, Arthur Colombo, Marco Kriebitzsch, Sebastian Parekh, Jigar Schlegel, Fabian Draw, Mazen Evdokimov, Ilya Hänsch, Susann Khan, Harris Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gašper Tekavčič, Matej 2021-09-29 The HZDR multiphase addon contains additional code for the open-source CFD software OpenFOAM, released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method). Within the OpenFOAM library the multiphaseEulerFoam framework is used for this type of simulation. The addon contains a modified multiphaseEulerFoam named HZDRmultiphaseEulerFoam with the full support of the HZDR baseline model set for polydisperse bubbly flows according to Liao et al. (Chem Eng Sci, 2019, Vol. 202, 55-69). In addition a solver dedicated to a hybrid modelling approach (dispersed and resolved interfaces, Meller et al., Int J Numer Meth Fluids. 2021, Vol. 93, 748-773) named cipsaMultiphaseEulerFoam is provided with the addon. This solver has an interface to the multiphaseEulerFoam framework and utilizes all available interfacial models of it. General enhancements modified turbulent wall functions of Menter according to Rzehak and Kriebitzsch (Int J Multiphase Flow, 2015, Vol. 68, 135-152) dynamic time step adjustment via PID controller HZDRmultiphaseEulerFoam bubble induced turbulence model of Ma et al. (Phys Rev Fluids, 2017, Vol. 2, 034301) drag model of Ishii and Zuber (AIChE Journal, 1979, Vol. 25, 843-855) without correction for swarm and/or viscous effects wall lubrication of Hosokawa et al. (ASME Joint US-European Fluids Engineering Division Conference, 2002) additional breakup and coalescence models for class method according to Liao et al. (Chem Eng Sci, 2015, Vol. 122, 336-349) degassing boundary condition (fvModel) lift force correlation of Hessenkemper et al. (Int J Multiphase Flow, 2021, Vol. 138, 103587) aspect ratio correlation of Ziegenhein and Lucas (Exp. Therm. Fluid Sci., 2017, Vol. 85, 248–256) real pressure treatment via explicit turbulent normal stress according to Rzehak et al. (Nucl Eng Des., 2021, Vol. 374, 111079) configuration files and tutorials for easy setup of baseline cases GPU-based accelerated computation of coalescence and breakup frequencies for the models of Lehr et al., AIChE J, 2002, Vol. 48, 2426-2443 (Petelin et al., NENE2021 conf., submitted) cipsaMultiphaseEulerFoam morphology adaptive modelling framework for predicting dispersed and resolved interfaces based on Eulerian multi-field two-fluid model compact momentum interpolation method according to Cubero et al. (Comput Chem Eng, 2014, Vol. 62, 96-107), including virtual mass numerical drag according to Strubelj and Tiselj (Int J Numer Methods Eng, 2011, Vol. 85, 575-590) to describe resolved interfaces in a volume-of-fluid like manner n-phase partial elimination algorithm for momentum equations to resolve strong phase coupling (Meller et al., Int J Numer Meth Fluids. 2021, Vol. 93, 748-773) free surface turbulence damping for k-ω SST (symmetric and asymmetric damping, Frederix et al., Nucl Eng Des, 2018, Vol. 333, 122-130) sub-grid scale modelling framework: additional LES models for the unclosed convective sub-grid scale term closure models for sub-grid surface tension term configuration files and tutorials for easy setup of hybrid cases This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)" https://rodare.hzdr.de/record/1195 10.14278/rodare.1195 oai:rodare.hzdr.de:1195 eng url:https://www.hzdr.de/publications/Publ-32194 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32161 doi:10.14278/rodare.767 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Multiphase Flow Numerical Simulations OpenFOAM CFD Finite volume method Baseline model Multi-field two-fluid model Eulerian-Eulerian model Momentum interpolation Partial elimination algorithm Free Surface HZDR Multiphase Addon for OpenFOAM info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3019 2025-12-19T07:35:42Z software user-energy user-fwd user-hzdr user-openfoam user-rodare

Couteau, Arthur Colombo, Marco Haßlberger, Josef Kriebitzsch, Sebastian Kumaresh, Pramodh Parekh, Jigar Zhang, Tingting Wang, Chih-Ta Wang, Lisong Schlegel, Fabian Bilde, Kasper Gram Draw, Mazen Evdokimov, Ilya Hänsch, Susann Kamble, Vikrant Vinayak Khan, Haris Krull, Benjamin Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gašper Kota, Sesi Preetam Tekavčič, Matej 2024-06-14 The Multiphase Code Repository by HZDR for OpenFOAM Foundation Software is a software publication released by Helmholtz-Zentrum Dresden-Rossendorf according to the FAIR principles (Findability, Accessibility, Interoperability, and Reuseability). It contains experimental research work for the open-source software released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method). Acknowledgement: OpenFOAM(R) is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM(R) software via www.openfoam.com. The Multiphase Code Repository by HZDR for OpenFOAM Foundation Software is not compatible with the software released by OpenCFD Limited, but is based on the software released by the OpenFOAM Foundation via www.openfoam.org Highlights of the Multiphase Code Repository by HZDR HZDR Baseline Model: addonMultiphaseEuler solver with full support of the HZDR baseline model set for polydisperse bubbly flows, including configuration files and tutorials for simplified setup of Baseline cases (Hänsch et al., 2021). Population Balance Modelling: A GPU-accelerated population balance method according to Petelin et al. (2021). Morphology-adaptive Multifield Two-fluid Model (MultiMorph): cipsaMultiphaseEuler solver featuring a morphology-adaptive modelling approach (dispersed and resolved interfaces, Meller et al., 2021) with an interface to the multiphaseEuler framework to utilise all available interfacial models, and configuration files and tutorials for easy setup of cases with the MultiMorph Model. more ... This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)". https://rodare.hzdr.de/record/3019 10.14278/rodare.3019 oai:rodare.hzdr.de:3019 eng doi:10.1002/aic.17539 doi:10.1007/s10494-021-00293-8 doi:10.1016/j.ces.2021.116807 doi:10.14278/rodare.198 url:https://www.hzdr.de/publications/Publ-29886 url:https://www.hzdr.de/publications/Publ-32194 url:https://www.hzdr.de/publications/Publ-32161 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-35412 url:https://www.hzdr.de/publications/Publ-36249 doi:10.14278/rodare.767 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Multiphase Flow Numerical Simulations OpenFOAM Computational Fluid Dynamics Finite volume method Baseline model Multi-field two-fluid model Euler-Euler method Momentum interpolation Partial elimination algorithm Free Surface Flows C++ C CUDA Shell Python Gnuplot Multiphase Code Repository by HZDR for OpenFOAM Foundation Software info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3055 2025-12-19T07:35:42Z software user-energy user-fwd user-hzdr user-openfoam user-rodare

Couteau, Arthur Colombo, Marco Haßlberger, Josef Kriebitzsch, Sebastian Kumaresh, Pramodh Parekh, Jigar Zhang, Tingting Wang, Chih-Ta Wang, Lisong Schlegel, Fabian Bilde, Kasper Gram Draw, Mazen Evdokimov, Ilya Hänsch, Susann Kamble, Vikrant Vinayak Khan, Haris Krull, Benjamin Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gasper Kota, Sesi Preetam Tekavcic, Matej 2024-07-16 The Multiphase Code Repository by HZDR for OpenFOAM Foundation Software is a software publication released by Helmholtz-Zentrum Dresden-Rossendorf according to the FAIR principles (Findability, Accessibility, Interoperability, and Reuseability). It contains experimental research work for the open-source software released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method).Acknowledgement: OpenFOAM(R) is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM(R) software via www.openfoam.com. The Multiphase Code Repository by HZDR for OpenFOAM Foundation Software is not compatible with the software released by OpenCFD Limited, but is based on the software released by the OpenFOAM Foundation via www.openfoam.orgHighlights of the Multiphase Code Repository by HZDRHZDR Baseline Model: addonMultiphaseEuler solver with full support of the HZDR baseline model set for polydisperse bubbly flows, including configuration files and tutorials for simplified setup of Baseline cases (Hänsch et al., 2021).Population Balance Modelling: A GPU-accelerated population balance method according to Petelin et al. (2021).Morphology-adaptive Multifield Two-fluid Model (MultiMorph): cipsaMultiphaseEuler solver featuring a morphology-adaptive modelling approach (dispersed and resolved interfaces, Meller et al., 2021) with an interface to the multiphaseEuler framework to utilise all available interfacial models, and configuration files and tutorials for easy setup of cases with the MultiMorph Model.more ... This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)". https://rodare.hzdr.de/record/3055 10.14278/rodare.3055 oai:rodare.hzdr.de:3055 eng doi:10.1002/aic.17539 doi:10.1007/s10494-021-00293-8 doi:10.1016/j.ces.2021.116807 doi:10.14278/rodare.198 url:https://www.hzdr.de/publications/Publ-29886 url:https://www.hzdr.de/publications/Publ-32194 url:https://www.hzdr.de/publications/Publ-32161 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-35412 url:https://www.hzdr.de/publications/Publ-36249 doi:10.14278/rodare.767 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Multiphase Flow Numerical Simulations OpenFOAM Computational Fluid Dynamics Finite volume method Baseline model Multi-field two-fluid model Euler-Euler method Momentum interpolation Partial elimination algorithm Free Surface Flows C++ C CUDA Shell Python Gnuplot Multiphase Code Repository by HZDR for OpenFOAM Foundation Software info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3105 2025-12-19T07:35:42Z software user-energy user-fwd user-hzdr user-openfoam user-rodare

Couteau, Arthur Colombo, Marco Haßlberger, Josef Kriebitzsch, Sebastian Kumaresh, Pramodh Parekh, Jigar Zhang, Tingting Wang, Chih-Ta Wang, Lisong Schlegel, Fabian Bilde, Kasper Gram Draw, Mazen Evdokimov, Ilya Hänsch, Susann Kamble, Vikrant Vinayak Khan, Haris Krull, Benjamin Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gasper Kota, Sesi Preetam Tekavcic, Matej 2024-08-22 The Multiphase Code Repository by HZDR for OpenFOAM Foundation Software is a software publication released by Helmholtz-Zentrum Dresden-Rossendorf according to the FAIR principles (Findability, Accessibility, Interoperability, and Reuseability). It contains experimental research work for the open-source software released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method).Acknowledgement: OpenFOAM(R) is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM(R) software via www.openfoam.com. The Multiphase Code Repository by HZDR for OpenFOAM Foundation Software is not compatible with the software released by OpenCFD Limited, but is based on the software released by the OpenFOAM Foundation via www.openfoam.orgHighlights of the Multiphase Code Repository by HZDRHZDR Baseline Model: addonMultiphaseEuler solver with full support of the HZDR baseline model set for polydisperse bubbly flows, including configuration files and tutorials for simplified setup of Baseline cases (Hänsch et al., 2021).Population Balance Modelling: A GPU-accelerated population balance method according to Petelin et al. (2021).Morphology-adaptive Multifield Two-fluid Model (MultiMorph): cipsaMultiphaseEuler solver featuring a morphology-adaptive modelling approach (dispersed and resolved interfaces, Meller et al., 2021) with an interface to the multiphaseEuler framework to utilise all available interfacial models, and configuration files and tutorials for easy setup of cases with the MultiMorph Model.more ... This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)". https://rodare.hzdr.de/record/3105 10.14278/rodare.3105 oai:rodare.hzdr.de:3105 eng doi:10.1002/aic.17539 doi:10.1007/s10494-021-00293-8 doi:10.1016/j.ces.2021.116807 doi:10.14278/rodare.198 url:https://www.hzdr.de/publications/Publ-29886 url:https://www.hzdr.de/publications/Publ-32194 url:https://www.hzdr.de/publications/Publ-32161 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-35412 url:https://www.hzdr.de/publications/Publ-36249 doi:10.14278/rodare.767 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Multiphase Flow Numerical Simulations OpenFOAM Computational Fluid Dynamics Finite volume method Baseline model Multi-field two-fluid model Euler-Euler method Momentum interpolation Partial elimination algorithm Free Surface Flows C++ C CUDA Shell Python Gnuplot Multiphase Code Repository by HZDR for OpenFOAM Foundation Software info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3725 2025-06-27T09:18:30Z software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software software user-casus user-hzdr user-rodare

Hernandez Acosta, Uwe Thekke Veettil, Sachin Krishnan Wicaksono, Damar Canggih Kissinger, Jannik Hecht, Michael 2025-04-30 minterpy is an open-source Python package for a multivariate generalization of the classical Newton and Lagrange interpolation schemes as well as related tasks. It is based on an optimized re-implementation of the multivariate interpolation prototype algorithm (MIP) by Hecht et al.1 and thereby provides software solutions that lift the curse of dimensionality from interpolation tasks. While interpolation occurs as the bottleneck of most computational challenges, minterpy aims to free empirical sciences from their computational limitations. https://rodare.hzdr.de/record/3725 10.14278/rodare.3725 oai:rodare.hzdr.de:3725 eng url:https://www.hzdr.de/publications/Publ-36106 doi:10.14278/rodare.2058 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/MIT multivariate interpolation multivariate polynomials numerical modelling Minterpy - multivariate polynomial interpolation info:eu-repo/semantics/other software

oai:rodare.hzdr.de:927 2025-12-16T12:53:35Z software user-energy user-fwd user-hzdr user-rodare user-openfoam

Couteau, Arthur Upadhyay, Kartik Mohite, Onkar Kriebitzsch, Sebastian Hänsch, Susann Draw, Mazen Evdokimov, Ilya Khan, Haris Krull, Benjamin Lehnigk, Ronald Liao, Yixiang Lyu, Hongmei Meller, Richard Schlegel, Fabian Tekavčič, Matej 2021-02-15 HZDR Multiphase Case Collection for OpenFOAM contains simulation setups for the open-source CFD software OpenFOAM with the HZDR multiphase addon. The simulation setups are separated into polydisperse bubbly flows utilising the HZDR Baseline model set according to Liao et al. (Chem Eng Sci, 2019, Vol. 202, 55-69) and setups for a hybrid modelling approach (disperse and resolved interfaces) according to Meller et al. (Int J Numer Meth Fluids, 2021, Vol. 93, 748–773). Cases using the HZDR Baseline model set baseline/1998_Liu Reference for experiment: Liu, 3rd Int Conf Multiph Flow (ICMF), Vol. 98, 8-12 Reference for case setup: Rzehak et al., Nucl Eng Des (accepted) Kriebitzsch and Rzehak, Fluids, 2016, Vol. 1, 29 baseline/2005_Lucas_et_al Reference for experiment: Lucas et al., Int J Multiph Flow, 2005, Vol. 31, 1304-1328 Reference for case setup: Lehnigk et al., AlChE J (submitted) baseline/2008_Shawkat Reference for experiment: Shawkat et al., Int J Multiph Flow, 2008, Vol. 34, 767-785 Reference for case setup: Kriebitzsch and Rzehak, Fluids, 2016, Vol. 1, 29 baseline/2009_Hosokawa Reference for experiment: Hosokawa and Tomiyama, Chem Eng Science, 2009, Vol. 64, 5308-5318 Reference for case setup: Rzehak et al., Nucl Eng Des (accepted) baseline/2013_Hosokawa_and_Tomiyama Reference for experiment: Hosokawa and Tomiyama, Int J Heat Fluid Flow, 2013, Vol. 40, 97-105 Reference for case setup: Kriebitzsch and Rzehak, Fluids, 2016, Vol. 1, 29 Liao et al., Comp Fluids, 2020, Vol. 202, 104496 baseline/2016_Kim_et_al Reference for experiment: Kim et al., Exp Fluids, 2016, Vol. 57, 1432-1114 Reference for case setup: Liao et al., Comp Fluids, 2020, Vol. 202, 104496 Cases using the hybrid modelling approach hybrid/wenka/2D-MP3-23 Reference for experiment: Stäbler, Ph.D. thesis, 2007 Reference for case setup: Tekavčič et al., Nucl Eng Des (accepted) hybrid/risingBubbleHysingEtAl2009 References for case setup: Hysing et al., Int J Numer Meth Fluids, 2009, Vol. 60, 1259-1288 Meller et al., Int J Numer Meth Fluids, 2021, Vol. 93, 748–773 Meller et al., Flow Turbul Combust (submitted) hybrid/risingBubbleBalcazarEtAl2015 Reference for experiment: Bhaga and Weber, J Fluid Mech, 1981, Vol. 105, 61-85 Reference for direct numerical simulation: Balcázar et al., Int J Heat Fluid Flow, 2015, Vol. 56, 91-107 References for case setup: Meller et al., Int J Numer Meth Fluids, 2021, Vol. 93, 748–773 hybrid/risingBubbleMellerEtAl2021 Reference for case setup: Meller et al., Flow Turbul Combust (submitted) This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)". https://rodare.hzdr.de/record/927 10.14278/rodare.927 oai:rodare.hzdr.de:927 eng url:https://www.hzdr.de/publications/Publ-32364 doi:10.14278/rodare.811 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Multiphase Flow Numerical Simulations OpenFOAM CFD Baseline model Multi-field two-fluid model Eulerian-Eulerian model Free Surface HZDR Multiphase Case Collection for OpenFOAM info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3017 2025-12-16T12:53:36Z software user-energy user-fwd user-hzdr user-openfoam user-rodare

Couteau, Arthur Kriebitzsch, Sebastian Kumaresh, Pramodh Mohite, Onkar Upadhyay, Kartik Hänsch, Susann Draw, Mazen Evdokimov, Ilya Khan, Haris Kamble, Vikrant Vinayak Krull, Benjamin Lehnigk, Ronald Liao, Yixiang Lyu, Hongmei Meller, Richard Schlegel, Fabian Li, Shiwang Tekavcic, Matej 2024-06-14 This repository contains simulation setups for the Multiphase Code Repository by HZDR for OpenFOAM Foundation Software. The simulation setups are separated into mono- and polydisperse bubbly flows utilising the Baseline model by HZDR set, setups for a morphology-adaptive multifield two-fluid model (disperse and resolved interfaces) and miscellaneous cases. Acknowledgement: OpenFOAM(R) is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM(R) software via www.openfoam.com. The Multiphase Cases Repository by HZDR for OpenFOAM Foundation Software is not compatible with the software released by OpenCFD Limited, but is based on the software released by the OpenFOAM Foundation via www.openfoam.org This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)". https://rodare.hzdr.de/record/3017 10.14278/rodare.3017 oai:rodare.hzdr.de:3017 eng doi:10.1002/aic.17539 doi:10.1007/s10494-021-00293-8 doi:10.1016/j.ces.2021.116807 url:https://www.hzdr.de/publications/Publ-32364 url:https://www.hzdr.de/publications/Publ-32161 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-35412 doi:10.14278/rodare.811 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Multiphase Flow Numerical Simulations OpenFOAM Computational Fluid Dynamics Baseline model Multi-field two-fluid model Partial elimination algorithm Free Surface Euler-Euler Method Shell Python Gnuplot C++ Multiphase Cases Repository by HZDR for OpenFOAM Foundation Software info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3056 2025-12-16T12:53:36Z software user-energy user-fwd user-hzdr user-openfoam user-rodare

Couteau, Arthur Kriebitzsch, Sebastian Kumaresh, Pramodh Mohite, Onkar Upadhyay, Kartik Hänsch, Susann Draw, Mazen Evdokimov, Ilya Khan, Haris Kamble, Vikrant Vinayak Krull, Benjamin Lehnigk, Ronald Liao, Yixiang Lyu, Hongmei Meller, Richard Schlegel, Fabian Li, Shiwang Tekavčič, Matej 2024-07-16 This repository contains simulation setups for the Multiphase Code Repository by HZDR for OpenFOAM Foundation Software. The simulation setups are separated into mono- and polydisperse bubbly flows utilising the Baseline model by HZDR set, setups for a morphology-adaptive multifield two-fluid model (disperse and resolved interfaces) and miscellaneous cases.Acknowledgement: OpenFOAM(R) is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM(R) software via www.openfoam.com. The Multiphase Cases Repository by HZDR for OpenFOAM Foundation Software is not compatible with the software released by OpenCFD Limited, but is based on the software released by the OpenFOAM Foundation via www.openfoam.org This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)". https://rodare.hzdr.de/record/3056 10.14278/rodare.3056 oai:rodare.hzdr.de:3056 eng doi:10.1002/aic.17539 doi:10.1007/s10494-021-00293-8 doi:10.1016/j.ces.2021.116807 url:https://www.hzdr.de/publications/Publ-32364 url:https://www.hzdr.de/publications/Publ-32161 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-35412 doi:10.14278/rodare.811 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Multiphase Flow Numerical Simulations OpenFOAM Computational Fluid Dynamics Baseline model Multi-field two-fluid model Partial elimination algorithm Free Surface Euler-Euler Method Shell Python Gnuplot C++ Multiphase Cases Repository by HZDR for OpenFOAM Foundation Software info:eu-repo/semantics/other software

oai:rodare.hzdr.de:633 2020-12-16T10:03:25Z user-hzdr user-rodare

Rasti, Behnood Ghamisi, Pedram Seidel, Peter Lorenz, Sandra Gloaguen, Richard 2020-07-05 Geological objects are characterized by a high complexity inherent to a strong compositional variability at all scales and usually unclear class boundaries. Therefore, dedicated processing schemes are required for the analysis of such data for mineral mapping. On the other hand, the variety of optical sensing technology reveals different data attributes and therefore multi-sensor approaches are adapted to solve such complicated mapping problems. In this paper, we devise an adapted multi-optical sensor fusion (MOSFus) workflow which takes the geological characteristics into account. The proposed processing chain exhaustively covers all relevant stages, including data acquisition, preprocessing, feature fusion, and mineral mapping. The concept includes i) a spatial feature extraction based on morphological profiles on RGB data with high spatial resolution, ii) a specific noise reduction applied on the hyperspectral data that assumes mixed sparse and Gaussian contamination and iii) a subsequent dimensionality reduction using a sparse and smooth low rank analysis. The feature extraction approach allows to fuse heterogeneous data at variable resolutions, scales, and spectral ranges as well as improve classification substantially. The last step of the approach, an SVM classifier, is robust to unbalanced and sparse training sets and is particularly efficient with complex imaging data. We evaluate the performance of the procedure with two different multi-optical sensor datasets. The results demonstrate the superiority of this dedicated approach over common strategies. https://rodare.hzdr.de/record/633 10.14278/rodare.633 oai:rodare.hzdr.de:633 url:https://www.hzdr.de/publications/Publ-31017 url:https://www.hzdr.de/publications/Publ-31904 doi:10.14278/rodare.632 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Multi-sensor data optical sensor hyperspectral hyperspectral mixed sparse and Gaussian noise reduction (HyMiNoR) spectral imaging data fusion feature extraction dimensionality reduction support vector machine (SVM) sparse and smooth low-rank analysis (SSLRA) orthogonal total variation component analysis (OTVCA) mineral exploration Data for: "Multi Optical Sensor Fusion for Mineral Mapping of Core Samples" info:eu-repo/semantics/other image-figure

oai:rodare.hzdr.de:3064 2024-11-12T08:40:21Z openaire_data user-energy user-fwd user-hzdr user-rodare

Rox, Hannes Ränke, Fabian Mädler, Jonathan Marzec, Mateusz M. Sokolowski, Krystian Baumann, Robert Hamedi, Homa Yang, Xuegeng Mutschke, Gerd Urbas, Leon Lasagni, Andrés Fabián Eckert, Kerstin 2024-10-29 Direct Laser Intereference Patterning is a promising approach to structure electrodes for alkaline water electrolysis to improve the electrode performance. By increasing the electrochemical active surface area and apply a superhydrophilic surface structure, the overpotential could be decreased significantly. The present data set compares three different spatial period and aspect ratios, defined as the ratio between structure depth and period, at applied current densities of j = 10, 31.62 and 100 mA/cm² in terms of electrode potential, detached bubble size and number of nucleation sites. As electrolyte 1 M KOH was used. All experiments were carried out under ambient conditions (T = 293 K,p = 1 bar). A.) Description of Data.zip: An overview of all performed experiments is given in the file Summary.csv. The data is analyzed as described in the corresponding journal publication Boosting electrode performance and bubble management via Direct Laser Interference Patterning. Each data set is stored in a .hdf5-file, with the relevant metadata incorporated into the attributes assigned to the groups/datasets within the .hdf5-file. The data files are structured in groups as follows: Electrochemical Measurement Data Galvanostatic Measurement Data CV double-layer capacitance LSV onset potential Results Detected Bubbles Sideview Detected Bubbles Topview Sideview Raw Images (only for SH2_LS_DoE_01.hdf5) Topview Raw Images (only for SH2_LS_DoE_01.hdf5) With the exception of a single comprehensive data set comprising unprocessed images (SH2_LS_DoE_01.hdf5), the remaining raw images from all performed measurements can be made available upon request. B.) Description of Videos.zip: Example videos for non-structured and laser-structured electrodes at a current density of j = 100 mA/cm² are given for both, sideview and topview. The provided characteristic videos are named after following scheme: Perspective_Electrode_CurrentDensity E.g.: Sideview_#1_NSE_100mAcm-2 This project is supported by the Federal State of Saxony in terms of the "European Regional Development Fund" (H2-EPF-HZDR), the Helmholtz Association Innovation pool project "Solar Hydrogen", the Hydrogen Lab of the School of Engineering of TU Dresden, and BMBF (project ALKALIMIT, grant no. 03SF0731A). https://rodare.hzdr.de/record/3064 10.14278/rodare.3064 oai:rodare.hzdr.de:3064 eng url:https://www.hzdr.de/publications/Publ-39830 doi:10.14278/rodare.3063 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Alkaline water electrolysis Bubble dynamics Direct laser interference patterning Oxygen evolution reaction Data publication: Boosting electrode performance and bubble management via Direct Laser Interference Patterning info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1189 2024-08-08T07:49:30Z openaire_data user-hzdr user-rodare user-mu2e user-elbe

Alvarez, Claudia Chen, Jijun Edmonds, Andrew Ferrari, Anna Huang, Shihua Keshavarzi, Alexander Knodel, Oliver Koltick, David Lancaster, Mark Miller, James P. Müller, Stefan Popp, James L. Rachamin, Reuven Simic, Milena Tickle, Steven Ufer, Robert Voigt, Martin 2021-09-20 This dataset contains data generated with LaBr and Nal detector (DSPEC and oszilloscope data) at the gELBE beam. The gELBE pulsed gamma beam to test the detector system for the Stopping Target Monitor of the MU2E experiment. The gELBE pulsed gamma beam with narrow pulses set to about 600 kHz repetition rate - the choice of the ELBE CW mode with micropulses at 406 kHz or 812.5 kHz is ideal in our case- is the unique facility in the world suited to study the performance of the Stopping Target Monitor detector of the Mu2e Experiment. The STM monitor has the crucial role to normalize the charged lepton flavor muon conversion rate in the Mu2e experiment. The ability to operate at high rate in presence of background is crucial. We have at ELBE the unique possibility to validate the final methodology that will be employed by the STM detector. https://rodare.hzdr.de/record/1189 10.14278/rodare.1189 oai:rodare.hzdr.de:1189 eng url:https://www.hzdr.de/publications/Publ-33129 doi:10.14278/rodare.1188 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/mu2e url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess dataset detector Stopping Target Monitor (STM) MU2E gELBE Data Management DAQ muon conversion Tests of the detector system for the Stopping Target Monitor of the MU2E experiment in a high flux pulsed gamma beam info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1343 2024-08-08T07:49:30Z openaire_data user-hzdr user-rodare user-mu2e user-elbe

Alvarez, Claudia Chen, Jijun Edmonds, Andrew Ferrari, Anna Huang, Shihua Keshavarzi, Alexander Knodel, Oliver Koltick, David Lancaster, Mark Miller, James P. Müller, Stefan Popp, James L. Rachamin, Reuven Simic, Milena Tickle, Steven Ufer, Robert Voigt, Martin 2021-12-20 This dataset contains data generated with LaBr and Nal detector (DSPEC and oszilloscope data) at the gELBE beam. The gELBE pulsed gamma beam to test the detector system for the Stopping Target Monitor of the MU2E experiment. The gELBE pulsed gamma beam with narrow pulses set to about 600 kHz repetition rate - the choice of the ELBE CW mode with micropulses at 406 kHz or 812.5 kHz is ideal in our case- is the unique facility in the world suited to study the performance of the Stopping Target Monitor detector of the Mu2e Experiment. The STM monitor has the crucial role to normalize the charged lepton flavor muon conversion rate in the Mu2e experiment. The ability to operate at high rate in presence of background is crucial. We have at ELBE the unique possibility to validate the final methodology that will be employed by the STM detector. https://rodare.hzdr.de/record/1343 10.14278/rodare.1343 oai:rodare.hzdr.de:1343 eng url:https://www.hzdr.de/publications/Publ-33129 doi:10.17815/jlsrf-2-58 handle:20.500.12865/HZDR.Projects.2021.FWCC.Project.48 handle:20.500.12865/HZDR.21102205-ST doi:10.14278/rodare.947 doi:10.14278/rodare.1188 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/mu2e url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess dataset detector Stopping Target Monitor (STM) MU2E gELBE Data Management DAQ muon conversion Tests of the detector system for the Stopping Target Monitor of the MU2E experiment in a high flux pulsed gamma beam info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:230 2022-01-12T11:03:52Z openaire_data user-fwd user-hzdr user-rodare

Schindler, Felix Zürner, Till Vogt, Tobias Eckert, Sven Schumacher, Jörg 2019-07-01 11th PAMIR International Conference- Fundamental and Applied MHD July 1-5, 2019, Reims, EVEM France The present work shows the experimental realisation of three-dimensional magnetoconvection studies at Rayleigh numbers between 10e6 and 6 · 10e7 and Hartmann numbers up to 1000 in a Rayleigh-Bénard convection cell. The fluid in the cell is the GaInSn metal alloy with a low Prandtl number of 0.029. The flow is investigated using thermocouples and ultrasound-Doppler-velocimetry. The change of the Nusselt number with increasing Hartmann number is studied and presented. Experimental results are compared to other experiments and simulations. Support by Deutsche Forschungsgemeinschaft with grants VO 2332/1-1 and SCHU 1410/29-1 https://rodare.hzdr.de/record/230 10.14278/rodare.230 oai:rodare.hzdr.de:230 eng doi:10.1021/je400882q doi:10.1007/s11663-018-1491-5 doi:10.1017/jfm.2018.479 doi:10.1103/PhysRevFluids.2.123501 doi:10.1017/S0022112096004491 doi:10.1103/PhysRevE.62.R4520 doi:10.1073/pnas.1417741112 doi:10.1073/pnas.1812260115 doi:10.1007/978-3-642-19981-3 doi:10.1017/jfm.2019.556 url:https://www.hzdr.de/publications/Publ-28698 url:https://www.hzdr.de/publications/Publ-30441 doi:10.14278/rodare.229 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode liquid metal low Prandtl number Rayleigh-Bénard magnetoconvection vertical magnetic Field Rayleigh-Bénard Convection in a Vertical Magnetic Field at Low Prandtl Number info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1266 2021-11-22T12:11:43Z openaire_data user-hzdr user-rodare

Franke, Karsten 2021-11-19 Daten zur Bestrahlung und Gammaspektroskopiemessung des Targets https://rodare.hzdr.de/record/1266 10.14278/rodare.1266 oai:rodare.hzdr.de:1266 url:https://www.hzdr.de/publications/Publ-32838 url:https://www.hzdr.de/publications/Publ-33416 doi:10.14278/rodare.1265 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode niobium cyclotron gamma spectroscopy Data publication: Uptake of niobium by cement systems relevant for nuclear waste disposal: impact of ISA and chloride info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:713 2023-01-23T10:00:26Z software user-energy user-rodare user-fwd user-hzdr

Meller, Richard Schlegel, Fabian Lucas, Dirk Tekavčič, Matej 2020-04-06 This development is further maintained under the following software publication: https://doi.org/10.14278/rodare.767 A solver for multiphase flows based on the incompressible Eulerian multi-field two-fluid model for the OpenFOAM release of The OpenFOAM Foundation for numerical simulations of multiphase flows with morphology changes and resolved interfaces. Features: morphology adaptive modeling framework for modelling of dispersed and resolved interfaces based on Eulerian multi-field two-fluid model compact interpolation method according to Cubero et al. (Comput Chem Eng, 2014, Vol. 62, 96-107), including virtual mass numerical drag according to Strubelj and Tiselj (Int J Numer Methods Eng, 2011, Vol. 85, 575-590) to describe resolved interfaces in a volume-of-fluid like manner n-phase partial elimination algorithm for momentum equations to resolve strong phase coupling bubble induced turbulence model of Ma et al. (Phys Rev Fluids, 2017, Vol. 2, 034301) turbulent wall functions of Menter according to Rzehak & Kriebitzsch (Int J Multiphase Flow, 2015, Vol. 68, 135–152) free surface turbulence damping for k-ω SST (symmetric and asymmetric damping, Frederix et al., Nucl Eng Des, 2018, Vol. 333, 122-130) dynamic time step adjustment via PID controller selected test cases: a two-dimensional gas bubble, rising in a liquid, which is laden with micro gas bubbles, and a two-dimensional stagnant stratification of water and oil, sharing a large-scale interface a two-dimensional stratified flow based on WENKA experiment (Stäbler, Ph.D. thesis, 2007) This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)". https://rodare.hzdr.de/record/713 10.14278/rodare.713 oai:rodare.hzdr.de:713 eng doi:10.1002/fld.4907 url:https://www.hzdr.de/publications/Publ-30885 url:https://www.hzdr.de/publications/Publ-29742 url:https://www.hzdr.de/publications/Publ-32586 doi:10.14278/rodare.286 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 OpenFOAM C++ CFD Finite volume method Multiphase flow Multi-field two-fluid model Eulerian-Eulerian model Momentum interpolation Partial elimination algorithm Free Surface Numerical framework for a morphology adaptive multi-field two-fluid model in OpenFOAM info:eu-repo/semantics/other software

oai:rodare.hzdr.de:721 2026-02-27T10:10:01Z software user-hzdr user-mu2e user-rodare

Ufer, Robert Voigt, Martin Müller, Stefan Knodel, Oliver 2021-01-07 This project contains the source code for the evaluation of an automated process which converts algorithms written in C/C++ to Data Acquisition (DAQ) hardware cores on Field Programmable Gate Arrays (FPGAs) using Continuous Integration (CI). The cores are building blocks of the DAQ for the Stopping-Target-Monitor of the MU2E experiment currently in construction at FERMILAB (USA). The MU2E experiment will search for Charged Lepton Flavor Violation (CLFV) looking for the direct decay of a muon into an electron. https://rodare.hzdr.de/record/721 10.14278/rodare.721 oai:rodare.hzdr.de:721 url:https://www.hzdr.de/publications/Publ-31982 doi:10.14278/rodare.720 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/mu2e url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/BSD-3-Clause Data Management DAQ FPGA Mu2e Algorithms for the Exploration of an Automated STM DAQ Hardware Development Process based on Continuous Integration for the Mu2e Experiment info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1846 2026-02-27T10:00:34Z openaire_data user-hzdr user-rodare

Knodel, Oliver Gruber, Thomas Kelling, Jeffrey Lokamani, Mani Müller, Stefan Pape, David Juckeland, Guido 2022-09-11 Top-Level Architecture of the proposed HZDR Data Management Strategy with additional description of the various systems and services. https://rodare.hzdr.de/record/1846 10.14278/rodare.1846 oai:rodare.hzdr.de:1846 eng url:https://www.hzdr.de/publications/Publ-29873 doi:10.14278/rodare.193 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/legalcode data management heliporot meta data FAIR data provenance workflows HZDR Data Management Strategy — Top-Level Architecture info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2070 2024-08-12T09:48:40Z openaire_data user-fwi user-hzdr user-matter user-rodare user-ibc

Iurchuk, Vadym Pablo-Navarro, Javier Hula, Tobias Narkowicz, Ryszard Hlawacek, Gregor Koerber, Lukas Kakay, Attila Schultheiss, Helmut Fassbender, Juergen Lenz, Kilian Lindner, Juergen 2023-01-11 This dataset contains raw data (SEM images, AFM, FMR, BLS, TetraX) used to study the dynamical edge modes in closely spaced permalloy microstrips. https://rodare.hzdr.de/record/2070 10.14278/rodare.2070 oai:rodare.hzdr.de:2070 doi:10.17815/jlsrf-3-159 url:https://www.hzdr.de/publications/Publ-36217 url:https://www.hzdr.de/publications/Publ-35208 doi:10.14278/rodare.2069 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication : Tailoring crosstalk between localized 1D spin-wave nanochannels using focused ion beams info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1845 2022-11-02T20:42:46Z openaire_data user-hzdr user-fwd user-rodare

Rox, Hannes Bashkatov, Aleksandr Yang, Xuegeng Loos, Stefan Mutschke, Gerd Gerbeth, Gunter Eckert, Kerstin 2022-09-02 Porous materials are frequently used as e.g. electrodes or porous transport layers in various types of electrolyzers. A better understanding of the bubble dynamics on porous electrodes is especially important to optimize new electrolyzer designs like membraneless electrolyzers. The developed 3-electrode cell was optimized with regard to the analysis of the bubble nucleation, growth and detachment on the applied working electrode. Noteworthy in this regard is the 2-dimensional optical measurement system to characterize the bubble dynamics from the side and top. The cell provides a platform to run parametric studies in alkaline electrolytes. The present data set compares three different expanded nickel metals at applied current densities of |j|= 10, 20, 50, 100 or 200 mA/cm² and flow rates of ̇V̇ = 0 or 5 ml/min. As electrolyte 1 M KOH is used. An overview of all performed experiments and the main parameters (current density j and flow rate V̇) is given in the file Overview of all performed experiments.pdf. The data is analyzed as described in the corresponding journal publication Bubble size distribution and electrode coverage at porous nickel electrodes in a novel 3-electrode flow-through cell. For each parameter set 3 data sets are given to ensure statistical confidence. Each data set, stored as .hdf5-file, is structured in groups as follows: Electrochemical Measurement Data Sideview Raw Images Topview Raw Images Results Detected Bubbles Electrode Coverage In the attributes assigned to the groups in the .hdf5-file all relevant metadata is given, including the experimental parameters, used devices and characteristics of the mounted WE. In addition to exemplary data sets for all three electrodes, the CAD files of the experimental setup used and sample videos of the raw images are also provided within this data publication. The remaining data sets of all measurements performed can be made available upon request. Grants: German Federal Ministry of Education and Research (contract No. 03SF0672) https://rodare.hzdr.de/record/1845 10.14278/rodare.1845 oai:rodare.hzdr.de:1845 eng url:https://www.hzdr.de/publications/Publ-35144 url:https://www.hzdr.de/publications/Publ-35344 doi:10.14278/rodare.1844 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode bubble dynamics alkaline electrolysis porous electrodes membraneless electrolyzer machine learning additive manufacturing Data publication: Bubble size distribution and electrode coverage at porous nickel electrodes in a novel 3-electrode flow-through cell info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:365 2020-10-30T12:02:17Z openaire_data user-hzdr user-rodare

Körber, Lukas Schultheiß, Katrin Hula, Tobias Verba, Roman Faßbender, Jürgen Kakay, Attila Schultheiß, Helmut 2020-06-11 We present a combined numerical, theoretical and experimental study on stimulated three-magnon splitting in a magnetic disk in the vortex equilibrium state. Our micromagnetic simulations and Brillouin-light-scattering results confirm that three-magnon splitting can be triggered even below threshold by exciting one of the secondary modes by magnons propagating in a waveguide next to the disk. The experiments show that stimulation is possible over an extended range of excitation powers and a wide range of frequencies around the eigenfrequencies of the secondary modes. Rate-equation calculations predict an instantaneous response to stimulation and the possibility to prematurely trigger three-magnon splitting even above threshold in a sustainable manner. These predictions are confirmed experimentally using time-resolved Brillouin-light-scattering measurements and are in a good qualitative agreement with the theoretical results. We believe that the controllable mechanism of stimulated three-magnon splitting could provide a possibility to utilize magnon-based nonlinear networks as hardware for reservoir or neuromorphic computing. Here, we briefly describe how the archived data for the publication "Nonlocal stimulation of three-magnon splitting in a magnetic vortex", submitted to PRL, is structured. "rate-equations" - theoretical data of the temporal evolution of the spin wave modes in Fig. 4 "micromagnetic-simulation" - MuMax3 simulation recipes (.go files) and sample-layout masks for the simulations performed for Fig. 2(a,b,c). - corresponding power spectra obtained with our "mumax3-pwsp" program - mode profiles for stimulated and spontaneous splitting (Fig. 1(c) and Fig. 2(d)) - dispersion of the spin waves, calculated by micromagetnic simulation, shown in Fig. 1(b) "experiments" - electron beam microscopy image of the sample - intensity spectrum of the waveguide, used to calculate the approximate frequency/wave-vector region where the waveguide is effective (inset in Fig. 1(c)) - non-time-resolved BLS measurements, including spectra, power sweeps, etc. for Figs 2,3 in "i3MS" folders, in more detail described by "i3MS_V1_KS_logbook.pdf" - time-resolved BLS measurements, further explained in the corresponding subfolders https://rodare.hzdr.de/record/365 10.14278/rodare.365 oai:rodare.hzdr.de:365 eng url:https://www.hzdr.de/publications/Publ-31137 url:https://arxiv.org/abs/2005.12663 url:https://www.hzdr.de/publications/Publ-31058 doi:10.14278/rodare.364 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode spin wave nonlinear three-magnon splitting stimulation micromagnetic simulation BLS Nonlocal stimulation of three-magnon splitting in a magnetic vortex info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1131 2023-01-04T11:55:02Z user-hzdr user-rodare

Kroll, Florian Brack, Florian-Emanuel Bernert, Constantin Bock, Stefan Bodenstein, Elisabeth Brüchner, Kerstin Cowan, Thomas Gaus, Lennart Gebhardt, René Helbig, Uwe Karsch, Leonhard Kluge, Thomas Kraft, Stephan Krause, Mechthild Leßmann, Elisabeth Masood, Umar Meister, Sebastian Metzkes-Ng, Josefine Nossula, Alexej Pawelke, Jörg Pietzsch, Jens Püschel, Thomas Reimold, Marvin Rehwald, Martin Richter, Christian Schlenvoigt, Hans-Peter Schramm, Ulrich Umlandt, Marvin Elias Paul Ziegler, Tim Zeil, Karl Beyreuther, Elke 2021-08-23 All source data and scripts for publication: "Tumor irradiation in mice with a laser-accelerated proton beam" https://rodare.hzdr.de/record/1131 10.14278/rodare.1131 oai:rodare.hzdr.de:1131 eng url:https://www.hzdr.de/publications/Publ-33047 doi:10.1038/s41567-022-01520-3 url:https://www.hzdr.de/publications/Publ-33048 url:https://www.hzdr.de/publications/Publ-33044 url:https://www.hzdr.de/publications/Publ-35835 doi:10.14278/rodare.1130 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Laser acceleration TNSA Radiobiology FLASH Internal Access: Full source data of publication: "Tumor irradiation in mice with a laser-accelerated proton beam" info:eu-repo/semantics/other other

oai:rodare.hzdr.de:1187 2021-11-12T13:07:21Z openaire_data user-hzdr user-matter user-rodare

Moldabekov, Zhandos Dornheim, Tobias Böhme, Maximilian Vorberger, Jan Cangi, Attila 2021-09-15 This repository contains the Kohn-Sham density functional theory (KS-DFT) and path-integral Monte-Carlo (PIMC) data used in the journal publication "The relevance of electronic perturbations in the warm dense electron gas". https://rodare.hzdr.de/record/1187 10.14278/rodare.1187 oai:rodare.hzdr.de:1187 url:https://www.hzdr.de/publications/Publ-33115 url:https://www.hzdr.de/publications/Publ-33126 doi:10.14278/rodare.1186 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Density Functional Theory Path-Integral Monte-Carlo Electronic Structure Theory Data associated with the publication "The relevance of electronic perturbations in the warm dense electron gas" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:947 2026-02-18T08:39:12Z software user-hzdr user-rodare

Voigt, Martin Ufer, Robert Schacht, Wilhelm Knodel, Oliver Pape, David Lokamani, Mani Müller, Stefan 2021-04-19 The guidance system HELIPORT aims to make the entire life cycle of a project at the HZDR searchable, accessible, complete and reusable according to the FAIR principles, mentioned below. In particular, our data management solution deals with the areas from the generation of the data to the publication of primary research data, the workflows carried out and the actual research results. For this purpose, a concept was developed which shows the various essential components and their connections. Descriptions of the individual components can be found in our RODARE publication: 10.14278/rodare.252 https://rodare.hzdr.de/record/947 10.14278/rodare.947 oai:rodare.hzdr.de:947 eng handle:10.14278 /rodare.939 doi:10.14278/rodare.193 doi:10.14278/rodare.252 handle:10.14278/rodare.938 handle:10.14278/rodare.939 url:https://gitlab.hzdr.de/heliport/heliport url:https://gitlab.hzdr.de/heliport/heliport url:https://heliport.hzdr.de/ url:https://heliport.hzdr.de/ url:https://www.hzdr.de/publications/Publ-32577 doi:10.14278/rodare.946 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 metadata HELIPORT project livecycle FAIR data managment HELIPORT (HELmholtz ScIentific Project WORkflow PlaTform) info:eu-repo/semantics/other software

oai:rodare.hzdr.de:413 2020-10-30T11:51:26Z openaire_data user-fwi user-hzdr user-matter user-rodare

Venanzi, Tommaso Arora, Himani Winnerl, Stephan Pashkin, Oleksiy Chava, Phanish Patane, Amalia Kovalyuk, Zakhar Kudrynskyi, Zakhar Watanabe, Kenji Taniguchi, Takashi Erbe, Artur Helm, Manfred Schneider, Harald 2020-04-14 We study the optical properties of thin flakes of InSe encapsulated in hexagonal boron nitride. Mores pecifically, we investigate the photoluminescence (PL) emission and its dependence on sample thickness and temperature. Through the analysis of the PL line shape, we discuss the relative weights of the exciton and electron-hole contributions. Thereafter we investigate the PL dynamics. Two contributions are distinguishable at low temperature: direct band-gap electron-hole and defect-assisted recombination. The two recombination processes have lifetimes ofτ1∼8ns andτ2∼100 ns, respectively. The relative weights of the direct band-gap and defect-assisted contributions show a strong layer dependence due to the direct-to-indirect band-gap crossover. Electron-hole PL lifetime is limited by population transfer to lower-energy states and no dependence on the number of layers was observed. The lifetime of the defect-assisted recombination gets longer for thinner samples. Finally, we show that the PL lifetime decreases at high temperatures as a consequence of more efficient nonradiative recombinations. https://rodare.hzdr.de/record/413 10.14278/rodare.413 oai:rodare.hzdr.de:413 url:https://www.hzdr.de/publications/Publ-30918 url:https://www.hzdr.de/publications/Publ-30917 doi:10.14278/rodare.412 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode 2D semiconductors time-resolved photoluminescence Data for: Photoluminescence dynamics in few-layer InSe info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1558 2022-05-06T05:48:51Z openaire_data openaire_data user-fwd user-hzdr user-rodare

Keshavarzi, Behnam Krause, Thomas Sikandar, Sidra Schwarzenberger, Karin Eckert, Kerstin Ansorge-Schumacher, Marion Heitkam, Sascha 2022-05-10 This work investigates the enrichment of bovine serum albumin (BSA) protein through foam fractionation. Here, we performed experiments using BSA and measured the recovery and grade of the extract. Additionally, an unsteady-state simulation of the protein foam fractionation process was carried out by numerically solving the liquid drainage equation in the foam. Thereby, the extracted liquid volume and protein concentration were calculated. Required quantities such as foam stability, interface coverage or bubble size distribution were measured in corresponding experiments and were fed into the model. The experiments showed that the foam coalescence accelerates the liquid drainage leading to dryer extract and higher protein enrichment. The modeling also reproduced the liquid recovery and extract concentration of the foam fractionation tests within a reasonable error range. The modeling solely relies on experimental inputs and does not require any tuning parameters. It can be further used for optimization or up-scaling of protein foam fractionation. https://rodare.hzdr.de/record/1558 10.14278/rodare.1558 oai:rodare.hzdr.de:1558 eng url:https://www.hzdr.de/publications/Publ-34606 url:https://www.hzdr.de/publications/Publ-34609 doi:10.14278/rodare.1557 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Protein foam fractionation flotation modeling dynamic adsorption surface equation of state flow-on-bubble Data Publication: Protein Enrichment by Foam Fractionation: Experiment and Modeling info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4582 2026-04-08T05:40:24Z openaire_data user-energy user-hzdr user-rodare

Thiele, Samuel Thomas Kirsch, Moritz Frenzel, Max Tolosana Delgado, Raimon Kamath, Akshay Vijay Guy, Bradley Martin Kim, Yongwhi Laura, Tusa Járóka, Tom Gloaguen, Richard 2026-03-30 Mineral liberation analysis (MLA) dataset accompanying the paper: Upscaling mineralogy with hyperspectral data: a benchmark dataset and machine learning framework to enable hyperspectral geometallurgy. This describes the mineralogy of 204 thick-sections prepared from 49 drillholes sampled across 7 different locations and coregistered with VNIR-SWIR-MWIR-LWIR hyperspectral data. It is intended to help develop, test and benchmark methods for predicting mineralogy from hyperspectral data. The data are stored as hycore (https://github.com/samthiele/hycore) Shed directories for easy loading, although individual MLA sections and corresponding hyperspectral images are all in ENVI format (so can be loaded by any hyperspectral analysis code or software). MLA outputs are also stored in their original (high-resolution) form as indexed bitmaps. The AbundanceMapping.xlsx file can be used to translate these MLA class indices into modal mineral abundances. Finally, jupyter notebooks used to derive the benchmarks presented in the paper are also included, in the Code folder. These illustrate how the data can be loaded and manipulated using hycore and hklearn (https://github.com/samthiele/hklearn), and used to train machine learning models that predict modal mineralogy given hyperspectral data. https://rodare.hzdr.de/record/4582 10.14278/rodare.4582 oai:rodare.hzdr.de:4582 eng url:https://www.hzdr.de/publications/Publ-43223 doi:10.14278/rodare.4581 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode hyperspectral mineralogy mineral liberation analysis machine learning benchmark geometallurgy Data for Upscaling mineralogy with hyperspectral data: a benchmark dataset and machine learning framework to enable hyperspectral geometallurgy info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4010 2025-10-02T06:34:14Z openaire_data user-rodare user-energy user-fwo user-hzdr

Schöngart, Jann Lindemann, Marcel Klotzsche, Max Franke, Karsten Fischer, Cornelius 2025-09-29 Data on six experiments on contaminant mobility in soil as supplemental information of the publication "Quantitative tomography of contaminant phytomobilization: β+ emitters 83Sr and 86Y as tracers of fission-product analog mobility" by Jann Schöngart, Marcel Lindemann, Max Klotzsche, Karsten Franke and Cornelius Fischer, to be submitted to Journal of Hazardous Materials Advances. The data in this publication consists of: µCT data RossendorfSand_tvchambolle_uint16_2162x2170x1742_3.7308um: µCT of a FeOOH-coated sand from Dresden-Rossendorf, Germany. voxel size = 3.3708 µm. Format: 3D-array of uInt16, x=1:2162, y=1:2170, z=1:1742. Core_D_before_dissolution_2307x2329x1452_uint16.raw: µCT of a pure quartz sand from Hohenbocka, Germany ('glass sand HB04'). voxel size = 10.032 µm. Format: 3D-array of uInt16, x=1:2307, y=1:2329, z=1:1452. Positron emission tomography data All PET data is stored as three-dimensional binary arrays of floats, with a voxel size of 1.15 mm. Stored in [subset]_PET_Raw.zip: Uncalibrated positron emission tomography time series (decay corrected). Each image consists of two files - a header file (.hv) and the binary image file (.v). The header file contains information on how to read the binary file, as well as additional information. Please note that not all of the metadata given in the header file (like timestamps, etc.) are generated automatically and not neccessarily accurate. Stored in [subset]_PET_ScatterCorr.zip: The data of PET_Raw.zip, with the Scatter, Random and RandomMismatch-Corrections from STIR (Thielemans et al., 2012) applied. The data structure is identical to [samplename]_PET_raw.zip. Stored in [subset]_PET_ErrCorr.zip: *limErr.hv: Relative errors of the PET_raw data, calculated from count rates using poisson statistics. A value of 1 equals 100% error. The volumes are cut to the ROI. The data structure is identical to [samplename]_PET_raw.zip. *lim.hv: Scatter-corrected data, with values of >100% error removed. The project received funding from the BMBF, grant number 02NUK066A. https://rodare.hzdr.de/record/4010 10.14278/rodare.4010 oai:rodare.hzdr.de:4010 url:https://www.hzdr.de/publications/Publ-41898 url:https://www.hzdr.de/publications/Publ-41906 url:https://www.hzdr.de/publications/Publ-41898 doi:10.14278/rodare.4009 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwo url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Positron Emission Tomography PET computed tomography CT 83Sr 86Y Quantitative tomography of contaminant phytomobilization: β+ emitters 83Sr and 86Y as tracers of fission-product analog mobility – data publication info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2739 2025-04-23T10:23:05Z openaire_data user-hzdr user-rodare

Zhou, Wenyu Kulenkampff, Johannes Heredia, Daniel Jara Schäfer, Thorsten Fischer, Cornelius 2024-02-21 This data provides the original inputs and COMOSL scripts for the paper 'Variability of fracture surface roughness in crystalline host rocks: implications for transport model simplifications'. https://rodare.hzdr.de/record/2739 10.14278/rodare.2739 oai:rodare.hzdr.de:2739 url:https://www.hzdr.de/publications/Publ-38787 url:https://www.hzdr.de/publications/Publ-41245 doi:10.1016/j.apgeochem.2025.106401 doi:10.14278/rodare.2738 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Variability of fracture surface roughness in crystalline host rocks: implications for transport model simplifications info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1544 2023-01-27T11:18:09Z openaire_data user-hzdr user-matter user-rodare

Ilyakov, Igor Agarwal, Naman Deinert, Jan-Christoph Liu, Jia Yaroslavtsev, Alexander Foglia, Laura Kurdi, Gabor Mincigrucci, Riccardo Principi, Emiliano Jakob, Gerhard Kläui, Mathias Seifert, Tom Kampfrath, Tobias Kovalev, Sergey Carley, Robert Scherz, Andreas Gensch, Michael 2022-04-27 This repository entry contains the research data used for generating the publication "Terahertz-wave decoding of femtosecond extreme-ultraviolet light pulses". https://rodare.hzdr.de/record/1544 10.14278/rodare.1544 oai:rodare.hzdr.de:1544 eng doi:10.1364/OPTICA.453130 url:https://www.hzdr.de/publications/Publ-32547 url:https://www.hzdr.de/publications/Publ-34564 doi:10.14278/rodare.1543 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Terahertz Extreme Ultraviolet Pulse-resolved ultrafast terahertz tomography electron bunch diagnostics Research data: Terahertz-wave decoding of femtosecond extreme-ultraviolet light pulses info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4437 2026-01-27T07:45:57Z openaire_data user-health user-hzdr user-oncoray user-rodare

Makarevich, Krystsina Kieslich, Aaron Markus Römer, Katja Schellhammer, Sonja Wagner, Andreas Kögler, Toni 2026-01-20 The dataset contains the data used for evaluating the performance of the Prompt Gamma-ray Timing (PGT) system under clinical-like conditions. Experimental setup: Clinically realistic dose plans were applied to an anthropomorphic head phantom at the pencil beam scanning (PBS) beamline. Two phantom positioning schemes were employed: noseφ setup: the geometric center of the head phantom was aligned with the beamline isocenter, and the phantom’s nose pointed in a given direction defined by an angle φ (in the bird’s-eye view) gantry-like Gθ setup: the phantom was placed according to a positioning template so that a hypothetical tumor, contoured on the phantom’s CT images, was aligned with a beamline isocenter, and the PBS nozzle position relative to the phantom corresponded then to a gantry rotational angle θ. The photographs of the experimental setup and the schematic of the target positioning are provided in Figure 1 of the 0_Materials_and_Methods.zip file. The positioning template for the Gθ setups is given in Figure 2 in 0_Materials_and_Methods.zip. Three types of irradiation fields were used for the study: EqualMU fields: square fields of about 8.4 cm × 8.4 cm, comprising 15×15 spots arranged on a regular grid with a lateral spacing of 6 mm. Spots within the same energy layer share an identical weight. DistalLayer fields: fields comprising 5+15×15+5 spots arranged on a regular grid with a lateral spacing of 6 mm. The main sequence of spots (15×15) forms a square field of about 8.4 cm × 8.4 cm and has varying spot weights. The additional 10 outermost lateral spots (5 before and after the main sequence) are used to determine the field orientation. Gθ fields: these are treatment fields developed to target a hypothetical tumor delineated in the phantom’s CT images. They define complex field shapes consisting of multiple energy layers and spots with widely varying weights. The employed irradiation fields are provided as *.pld files in 0_Materials_and_Methods.zip. For several measurements, a beam range shifter with a water-equivalent thickness of 7.38 cm was inserted into the beamline. It was rigidly attached to the snout holding the detection units, ensuring a fixed position throughout the measurements. Produced gamma rays were measured with eight scintillation detectors placed at: 0° (detector p0012); 180° (detector p0008); 45° (detector p0017); 225° (detector p0006); 90° (detector p0015); 270° (detector p0013); 135° (detector p0009); 315° (detector p0019). Measurements: the four experimental studies were conducted, and the data from these studies are given in the corresponding zip archives: Evaluate the count-rate capacity of the PGT system: the phantom was in the G270 orientation; an EqualMU plan comprising 9 energy layers (combinations of {150, 120, 90}MeV and {0.01, 0.1, 1}MU was used. Due to the limitations on the minimal spot weight imposed by the beam delivery system, the 0.01 MU spots actually weighed 0.0101 MU. Data only for the 7 detectors employed in this experiment are provided in 1_Count_rate_capacity.zip. Experimental and clinical machine log files are not given (due to internal regulations). Investigate the range shifter contribution to the PGT data: The data are provided only for the detector p0006 (at 225°) placed inside a hollow cylindrical lead collimator (r1=2'', r2=2''+1 cm). The range shifter was inserted in the beamline; the phantom was in nose45 orientation; two DistalLayer plans with 104 MeV and 187 MeV energy layers were applied. After passing the range shifter, these correspond to proton energies of 30 MeV and 150 MeV, respectively. Each plan comprised 24 identical energy layers and delivered a total of 1009 MU. Data from these measurements are provided in 2_Range_shifter_contribution.zip. Study spot-position dependence in scanned fields: the phantom was positioned as nose0; the range shifter was removed from the beamline to ensure only a single (target-related) peak in time distributions; EqualMU fields of {90, 120, 150} MeV and with spots of 1 MU weight were applied, each field comprised 8 identical layers and was delivered 2 times. Note that during the second repetition of the 120 MeV field, the file for p0012 was corrupted; therefore, the field was applied for the third time, and for this repetition, the file for p0015 was corrupted. Therefore, there are 3 data files for all detectors except for p0012 and p0015. Data files are in 3_Spot_position_dependence_in_scanned_fields.zip. Investigate the stability of the PGT mean with irradiation time: phantom was in the nose0 orientation; the range shifter was removed from the beamline; EqualMU fields with energy layers of {90, 120, 150}MeV and spot weights of either 0.2 MU or 1 MU were delivered. Fields with 0.2 MU spots included 40 identical energy layers, while those with 1 MU spots included 8 layers. Each field was delivered twice, in a random order. Since studies 3 and 4 overlap (they comprise the same measurements with {90, 120, 150} MeV and 1 MU fields), only the data from {90, 120, 150} MeV and 0.2 MU fields are included in 4_Stability_of_PGT_mean.zip. The remaining files for {90, 120, 150} MeV and 1 MU fields have already been given in 3_Spot_position_dependence_in_scanned_fields.zip. Data preprocessing: The raw data of each measurement were converted from the binary list-mode format to ROOT TTrees. The data were corrected for the photomultiplier gain drift and digitalization time non-linearities. The integral signal was converted into deposited energy. The data were assigned to individual corresponding spots. Data structure: The ROOT files are named u100-p00XX-yyyy-mm-dd_HH.MM.SS+TZ.root, where p00XX is the detector’s number, yyyy-mm-dd_HH.MM.SS is the time of the measurement, and TZ is the time zone. In general, the data structure inside the ROOT files includes: data (TTree) contains list-mode data, which comprises uncorrected (original measured) data. It contains branches: Triggertime (in time stamps, when the event triggered the data acquisition) Livetime (in time stamps, when the detector was idle) Energy (in a.u., normalized integral over the pulse) HeadEnergy (in a.u.) corrected and calibrated data. It comprises branches: EnergyGainCorrected (in a.u., pulse integral after applying correction for a photomultiplier gain drift). EnergyCalibrated (in MeV, calibrated pulse integral). FineTimeCorrected (in ns, detection time within the cyclotron acceleration period after correcting for time non-linearities). GlobalSpotID (in a.u., assigns a global ID to a spot, which incrementally increases for each new spot. If there is no beam, the counter is 0). LayerID (in a.u., an ID of the current energy layer. Outside the layer (no beam), the counter is 0). LocalSpotID (in a.u., a spot ID within the current layer. Outside the spot (no beam), the counter is 0). SpotMU (in MU, a spot weight of the current spot extracted from machine log files. If there was no spot irradiated, this value is 0). SpotEnergy (in MeV, the energy of the current energy layer taken from machine log files. Outside energy layers, this value is 0). SpotXCoordinate, SpotYCoordinate (in mm, the measured X- and Y-coordinates of the current spot. Outside the spot (no beam), these values are 10000). meta (TTree) is measurement metadata (applied detector voltage, the start time of the measurements, etc.); histograms is a directory with selected example histograms (uncorrected); analysis is a directory with histograms to correct and calibrate data, which are later saved into the data TTree. The main subdirectories here are: 00_General_Information contains data from machine log files: how many energy layers were irradiated, of which energies, how many spots each layer comprised, etc. 01_Layers_and_Spots_Detection contains histograms with the start and stop time of every energy layer and spot. 02_Gain_Correction includes histograms used to correct for photomultiplier gain drift. The procedure is described in Werner et al. (2019) in Phys. Med. Biol. 64 105023, 20pp (https://doi.org/10.1088/1361-6560/ab176d). 03_Energy_Calibration contains data of the performed energy calibration of the detector. 04_Fine_Time_Linearization comprises histograms used to correct for differential and integral time non-linearities. The procedure is described in Werner et al. (2019) in Phys. Med. Biol. 64 105023, 20pp (https://doi.org/10.1088/1361-6560/ab176d). Further, the authors typically employed an energy selection window of 0.7-7.40 MeV and subtracted time-uncorrelated background using the closest neighbor algorithm, as described in the dedicated publication. For further questions, please contact the persons stated above. https://rodare.hzdr.de/record/4437 10.14278/rodare.4437 oai:rodare.hzdr.de:4437 url:https://www.hzdr.de/publications/Publ-42868 url:https://www.hzdr.de/publications/Publ-42869 doi:10.14278/rodare.4436 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess prompt gamma timing PGT prompt gamma-ray timing proton range verification proton range monitoring Data publication: Performance of the Prompt Gamma-ray Timing system prototype under clinical-like conditions info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1222 2021-10-25T11:15:35Z openaire_data user-hzdr user-ecfunded user-rodare

Ryberg, Trond Kirsch, Moritz Haberland, Christian Tolosana Delgado, Raimon Viezzoli, Andrea Gloaguen, Richard 2021-10-21 As a means of investigating the structure of the geological subsurface and delineating Sn-W-Li greisen-hosted mineral deposits in the Geyer-Ehrenfriedersdorf area, Central Erzgebirge, Germany, we collected an ambient noise dataset which was supplemented and analysed together with airborne time-domain electromagnetic data. The here presented dataset is a combined three-dimensional block model containing the following parameters: (X), (Y), (Z) – Coordinates of the block model center nodes in ETRS89 UTM33N coordinates. (PS_vel) – Shear wave velocity based on ambient noise data from a dense "LARGE-N" network comprising 400 low-power, short-period seismic stations tomographically inverted based on Bayesian statistics. (logVTEM_res) – Logarithm of resistivity based on airborne time-domain electromagnetic data acquired using the Geotech Versatile Time Domain (VTEM™ ET) system and inverted using a layered earth approach. (class_K-means) – Class labels of a spatially constrained clustering using K-means with 26 immediate neighbours performed on the bivariate velocity-resistivity 3D dataset. Instruments for the seismic network were provided by the Geophysical Instrument Pool Potsdam (GIPP, GFZ), grant GIPP202010. https://rodare.hzdr.de/record/1222 10.14278/rodare.1222 oai:rodare.hzdr.de:1222 eng info:eu-repo/grantAgreement/EC/H2020/776487/ url:https://www.hzdr.de/publications/Publ-33279 doi:10.14278/rodare.1221 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Ambient seismic noise Airborne electromagnetics Mineral exploration Block model of passive seismic shear velocity and airborne electromagnetic resistivity in the Geyer area, Erzgebirge, Germany info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2365 2023-10-24T07:42:14Z openaire_data user-rodare user-matter user-hzdr

Lünser, Klara Fähler, Sebastian 2023-07-12 This dataset contains data about the epitaxial NiTi film that was used in the publication "Guided acoustic waves in thin epitaxial films: experiment and inverse problem solution for NiTi". It contains the SEM, AFM, FIB and R(T) data used to characterize the film. https://rodare.hzdr.de/record/2365 10.14278/rodare.2365 oai:rodare.hzdr.de:2365 url:https://www.hzdr.de/publications/Publ-37259 doi:10.14278/rodare.2364 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode NiTi epitaxial film Dataset for "Guided acoustic waves in thin epitaxial films: experiment and inverse problem solution for NiTi" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1550 2022-07-21T13:40:42Z openaire_data user-hzdr user-rodare

Ehrling, S. Senkovska, I. Efimova, A. Bon, V. Abylgazina, L. Petkov, P. Evans, J. D. Attallah, A. G. Thomas Wharmby, M. Roslova, M. Huang, Z. Tanaka, H. Wagner, A. Schmidt, P. Kaskel, S. 2022-04-29 These are the raw data of "Temperature Driven Transformation of the Flexible Metal-Organic Framework DUT-8(Ni)" DUT-8(Ni) metal-organic framework belongs to the family of flexible pillared layer materials. The desolvated framework can be obtained in the open pore form (op) or in the closed pore form (cp), depending on the crystal size regime. In the present work, we report on the behaviour of desolvated DUT-8(Ni) at elevated temperatures. For both, op and cp variants, heating causes a structural transition, leading to an new, crystalline compound, containing two interpenetrated networks. The state of the framework before transition (op vs. cp) influences the transition temperature: the small particles of the op phase transform at significantly lower temperature in comparison to the macroparticles of the cp phase, transforming close to the decomposition temperature. The new compound, confined closed pore phase (ccp), was characterized by powder X-ray diffraction and spectroscopic techniques, such as IR, EXAFS, and positron annihilation lifetime spectroscopy (PALS). Thermal effects of structural cp to ccp transitions were studied using differential scanning calorimetry (DSC), showing an overall exothermic effect of the process, involving bond breaking and reformation. Theoretical calculations reveal the energetics, driving the observed temperature induced phase transition. This work was financially supported by DFG (Deutsche Forschungsgemeinschaft) under contracts FOR 2433 and in project numbers 448809307, 464857745 (AT 289/1-1 and KA 1698/41-1) and 419941440. PP and JDE used high performance computing facilities of ZIH Dresden. The EXAFS experiments were conducted at the BL11S2 of Aichi Synchrotron Radiation Center, Aichi Science & Technology Foundation, Aichi, Japan (Proposal No. 2020D5036). We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. Parts of this research were carried out using beamline P02.1 at PETRA III. ZH acknowledges the support from the Swedish Research Council Formas (2020- 00831). J.D.E. is supported by a Ramsay Fellowship from the University of Adelaide. https://rodare.hzdr.de/record/1550 10.14278/rodare.1550 oai:rodare.hzdr.de:1550 url:https://www.hzdr.de/publications/Publ-34575 url:https://www.hzdr.de/publications/Publ-34595 doi:10.14278/rodare.1549 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode thermal response • interpenetrated MOF • thermal effect • phase transition • bond rearrangement Data: Temperature Driven Transformation of the Flexible Metal-Organic Framework DUT-8(Ni) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3314 2024-12-10T14:18:52Z openaire_data user-hzdr user-rodare

Peng, Xuan Janićijević, Željko Rodrigues Loureiro, Liliana Raquel Hoffmann, Lydia Soo Lee, Poh Cela, Isli Kruppke, Benjamin Becker, Alexandra Feldmann, Anja Bachmann, Michael Baraban, Larysa 2024-12-10 Translator This dataset include the code we use https://rodare.hzdr.de/record/3314 10.14278/rodare.3314 oai:rodare.hzdr.de:3314 url:https://www.hzdr.de/publications/Publ-40149 url:https://www.hzdr.de/publications/Publ-40144 doi:10.14278/rodare.3313 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess droplet microfluidics PEGDA hydrogel beads immunotherapy solid tumor tumor microenvironment fibroblast activation protein immunostaining Data publication: Microphysiological Solid Tumor Model in Hydrogel Beads for Dual-Targeting CAR T Cell Immunotherapy info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1985 2023-11-29T08:02:53Z openaire_data user-hzdr user-rodare

Stadler, Julia Vogel, Manja Steudtner, Robin Drobot, Björn Kogiomtzidis, Anna L. Weiss, Martin Walther, Clemens 2022-11-30 A combination of biochemical preparation methods with microscopic, spectroscopic, and mass spectrometric analysis techniques as contemplating state of the art application, was used for direct visualization, localization, and chemical identification of europium in plants. This works illustrates the chemical journey of europium (Eu(III)) through winter rye (Secale cereale L.), providing insight into the possibilities of speciation for Rare Earth Elements (REE) and trivalent f-elements. Kinetic experiments of contaminated plants show a maximum europium concentration in Secale cereale L. after four days. Transport of the element through the vascular bundle was confirmed with Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray analysis (EDS). For chemical speciation, plants were grown in a liquid nutrition medium, whereby Eu(III) species distribution could be measured by mass spectrometry and luminescence measurements. Both techniques confirm the occurrence of Eu malate species in the nutrition medium, and further analysis of the plant was performed. Luminescence results indicate a change in Eu(III) species distribution from root tip to plant leaves. Microscopic analysis show at least three different Eu(III) species with potential binding to organic and inorganic phosphate groups and a Eu(III) protein complex. With plant root extraction, further europium species could be identified by using Electrospray Ionization Mass Spectrometry (ESI MS). Complexation with malate, citrate, a combined malate-citrate ligand, and aspartate was confirmed mostly in a 1:1 stoichiometry (Eu:ligand). The combination of the used analytical techniques opens new possibilities in direct species analysis, especially regarding to the understanding of rare earth elements (REE) uptake in plants. This work provides a contribution in better understanding of plant mechanisms of the f-elements and their species uptake. https://rodare.hzdr.de/record/1985 10.14278/rodare.1985 oai:rodare.hzdr.de:1985 url:https://www.hzdr.de/publications/Publ-35624 doi:10.14278/rodare.1984 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode The chemical journey of Europium(III) through winter rye (Secale cereale L.) – Understanding through mass spectrometry and chemical microscopy info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4131 2025-12-02T08:59:11Z user-rodare user-hzdr

Middleton, Maarit Pospiech, Solveig 2025-11-17 Format: HTML document (bookdown format) Purpose: This file provides a detailed description of the quality assurance and quality control (QA/QC) procedures applied to the plant concentration data collected during the study. It includes statistical analysis of reference materials, drift correction, uncertainty modeling, and evaluation of laboratory and field precision. Description of the File Content This file is part of a larger data publication and serves as a supplementary document to the main dataset. It outlines the QA/QC procedures used to ensure the accuracy, precision, and reliability of the plant element concentration data. The file includes: Reference Material (RM) Analysis: Statistical summaries of standard reference materials (SRMs) such as UPDEEP_SPRU_BARK_DRY, UPDEEP_SPRU_TWIG_DRY, and UPDEEP_SPRU_NEED_DRY. Comparison of pre-analyzed SRM values with actual measurements. X-charts showing the performance of SRMs over time and across different batches. Drift and Offset Correction: Visualizations of raw and corrected data for routine samples, laboratory, and field replicates. Analysis of data trends and correction of analytical drift and offsets. Uncertainty Modeling: Calculation of relative standard deviation (RSD) from laboratory replicates. Identification of elements with high uncertainty (RSD > 10%) that may be excluded from further analysis. Tables and visualizations showing the distribution of uncertainties across different plant tissues. Field Precision Assessment: Evaluation of field replicate data to assess variability in field sampling. Identification of elements with poor field precision (RSD > 20%). Data Preparation and Processing: R code for data loading, cleaning, and transformation. Use of packages such as data.table, ggplot2, dplyr, and kableExtra for data manipulation and visualization. Summary of Key Findings and Data Included Reference Materials: The file provides statistical summaries (mean, median, SD, RMAD) of SRMs used to monitor analytical performance. These are compared with actual measurements to assess accuracy and precision. Drift Correction: The data shows the effect of drift correction on plant concentration measurements, improving the consistency of results across different batches. Uncertainty Analysis: The RSD of laboratory replicates is calculated, and elements with high variability are flagged for exclusion. Field Precision: Field replicates are used to assess the variability of sampling and analysis in the field, with some elements showing poor precision. Visualizations: The file includes numerous plots (e.g., X-charts, scatter plots) to illustrate data trends, comparisons, and uncertainty levels. https://rodare.hzdr.de/record/4131 10.14278/rodare.4131 oai:rodare.hzdr.de:4131 eng doi:10.3030/776804 url:https://www.hzdr.de/publications/Publ-41483 url:https://www.hzdr.de/publications/Publ-42237 url:https://www.hzdr.de/publications/Publ-42239 doi:10.14278/rodare.3811 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode QAQC supplementary material plant data NEXT EU project NEXT Plant data: Results of Quality Assurance and Quality Control - Supplementary material for publications based on this data set info:eu-repo/semantics/other other

oai:rodare.hzdr.de:3216 2024-11-12T10:18:29Z openaire_data user-fwd user-hzdr user-rodare user-rofex user-topflow

Barthel, Frank Sohr, Johanna Sprewitz, Uwe Schubert, Markus Bieberle, André Sohr, Johanna Barthel, Frank Sprewitz, Uwe Schubert, Markus 2024-11-12 This repository contains sequences of CT images of the two-phase flow in sandwich packings that are alternately arranged in a packing stack using B1-250 (specific geometric surface area is 250 m² /m³) for de-entrainment layer and B1-500 (specific geometric surface area is 500 m² /m³) for holdup layer. As measurement system the ultrafast electron beam X-ray computed tomography scanner was applied in dual plane scanning mode with a dual-imaging frequency of 1000 Hz. Operating parameters, the scanning plane as well as the tags "AB" for de-entrainment layer, "AN" for hold-up layer and "DRIVE" for an axial scan are encoded in the name of the data files. https://rodare.hzdr.de/record/3216 10.14278/rodare.3216 oai:rodare.hzdr.de:3216 eng url:https://www.hzdr.de/publications/Publ-39879 doi:10.14278/rodare.3215 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/rofex url:https://rodare.hzdr.de/communities/topflow info:eu-repo/semantics/restrictedAccess sandwich packing two-phase flow ultrafast electron beam X-ray computed tomography CT image sequences of sandwich packings: B1-250 plus B1-500 at constant liquid rate of 10 m³/(m²h) and various gas rates info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2521 2024-02-22T11:56:49Z user-rodare user-hzdr user-fwd

Maestri, Rhandrey Radhakrishnakumar, Subhadrakutty Bürkle, Florian Ding, Wei Büttner, Lars Czarske, Jürgen Hampel, Uwe Lecrivain, Gregory 2023-06-20 Data used in the article Equilibrium Taylor bubble in a narrow vertical tube with constriction. Compressed in the 7Z File: Data: Values used for bubble velocity in Fig. 4 and values extracted from the wall shape in the different tubes; Figures: All figures used in the publication; Videos: Videos in mp4 or avi. This work was supported by the German Research Foundation (Deutsche Forschungsgemeinschaft) under the project number 459505672 https://rodare.hzdr.de/record/2521 10.14278/rodare.2521 oai:rodare.hzdr.de:2521 eng url:https://www.hzdr.de/publications/Publ-37133 url:https://www.hzdr.de/publications/Publ-37123 doi:10.14278/rodare.2335 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Bubble dynamics Interfacial flows Deformation Multiphase flows Taylor bubbles. Data publication: Equilibrium Taylor bubble in a narrow vertical tube with constriction info:eu-repo/semantics/other video

oai:rodare.hzdr.de:3961 2025-11-28T07:22:26Z openaire_data user-energy user-hzdr user-rodare

Schöngart, Jann Kulenkampff, Johannes Fischer, Cornelius 2025-09-02 Data on two tomographic studies on Berea sandstone as supplemental information of the publication "Flow field tomography of reactive transport: comparison of β⁺ tracers ¹⁸F, ⁷⁶Br & ¹²⁴I" by Jann Schöngart, Johannes Kulenkampff, and Cornelius Fischer. Part of the data published here was used for prior works by Schabernack et al. (2025). Therefore, the the presented dataset has overlap withthe dataset published in Kulenkampff et al. (2024). This overlap is limited to the µCT data, and the PET data for analysis D_B and D_C. The data in this publication consists of: µCT data Core_D_after_dissolution_2496x2496x1615.raw: µCT of the inlet section of berea sandstone core D before dissolution as normalized graylevel data, voxel size = 10.032 µm. Format: 3D-array of uInt16, x=1:2496, y=1:2496, z=1:1615. Core_D_before_dissolution_2307x2329x1452_uint16.raw: µCT of the inlet section of berea sandstone core D after dissolution as normalized graylevel data, voxel size = 10.032 µm. Format: 3D-array of uInt16, x=1:2307, y=1:2329, z=1:1452. Positron emission tomography data All PET data is stored as three-dimensional binary arrays of floats, with a voxel size of 1.15 mm. Stored in [subset]_PET_raw.zip: Uncalibrated positron emission tomography time series (decay corrected). Each image consists of two files - a header file (.hv) and the binary image file (.v). The header file contains information on how to read the binary file, as well as additional information. Please note that not all of the metadata given in the header file (like timestamps, etc.) are generated automatically and not neccessarily accurate. Stored in [subset]_PET_err.zip: Relative errors of the PET_raw data, calculated from count rates using poisson statistics. A value of 1 equals 100% error. The volumes are cut to the ROI. The data structure is identical to [samplename]_PET_raw.zip. Stored in [subset]_PET_corrected.zip: Positron emission tomography time series, corrected for tracer activity and detector sensitivity fluctuations. Values are in in Bq/voxel. Voxels with relative errors above 100% are discarded. The volumes are cut to the ROI. The data structure is identical to [samplename]_PET_raw.zip. Flow field data stored in [subset]_flowfield.zip: Flow Direction_[X]x[Y]x[Z]x1_vec3_double.raw: Flow direction vectors as binary data of the shape [x,y,z,[3]], a three dimensional array of vectors which are stored as double (float64), voxel size = 1.15 mm. Flow Rate_[X]x[Y]x[Z]x1_double.raw: Flow rates (uncalibrated) as binary data of the shape [x,y,z], a three dimensional array of doubles (float64), voxel size = 1.15 mm. Porosity_[X]x[Y]x[Z]x1_double.raw: Porosities (uncalibrated) as binary data of the shape [x,y,z], a three dimensional array of doubles (float64), voxel size = 1.15 mm. Transport Error_[X]x[Y]x[Z]x1_double.raw: A measure of error quantifying the ratio of computed in- and outflow to each voxel. Values close to 0 are better. Stored as binary data of the shape [x,y,z], a three dimensional array of doubles (float64), voxel size = 1.15 mm. Velocity_[X]x[Y]x[Z]x1_double.raw: Velocities (uncalibrated) as binary data of the shape [x,y,z], a three dimensional array of doubles (float64), voxel size = 1.15 mm. The project received funding from the BMBF, grant numbers 03G0900A and 02NUK066A. https://rodare.hzdr.de/record/3961 10.14278/rodare.3961 oai:rodare.hzdr.de:3961 eng doi:10.1016/j.jhydrol.2025.133868 doi:10.14278/rodare.3126 url:https://www.hzdr.de/publications/Publ-41206 url:https://www.hzdr.de/publications/Publ-41791 url:https://www.hzdr.de/publications/Publ-41798 doi:10.14278/rodare.3960 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Positron Emission Tomography Flow Field geoPETFlow Berea 18F 76Br 124I Radiotracer Tomography Clogging Reactive Transport Flow field tomography of reactive transport: comparison of β⁺ tracers ¹⁸F, ⁷⁶Br & ¹²⁴I - data publication info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1107 2024-10-24T14:57:48Z openaire_data user-hzdr user-rodare

Ellis, J. Austin Fiedler, Lenz Popoola, Gabriel A. Modine, Normand A. Stephens, John A. Thompson, Aidan P. Cangi, Attila Rajamanickam, Siva 2021-07-08 LDOS/SNAP data for MALA: Aluminium at 298K and 933K (liquid+solid). Code development was done jointly by the authors. The calculations have mainly been performed by: DFT-MD snapshots / DFT calculations (LDOS data): N. A. Modine (at SNL) SNAP data generation: A. P. Thompson (at SNL) Neural network training: J. A. Ellis (ORNL, formerly SNL), G. A. Popoola (SNL), L. Fiedler (HZDR) https://rodare.hzdr.de/record/1107 10.14278/rodare.1107 oai:rodare.hzdr.de:1107 url:https://www.hzdr.de/publications/Publ-33121 doi:10.14278/rodare.1106 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode LDOS/SNAP data for MALA: Aluminium at 298K and 933K info:eu-repo/semantics/other dataset .eJyVjk1vgjAAhv9Lz26hrcjghpm6ZbYoQhlcTG2ZykclWKfU-N_HcTvpju-bJ0-eKzjmuQSe9fyCXWTjoYNtiJyhYw9Aw7c58NAAlGfebo_Au4I611xyzRdt_rW_AA8c-H4tBRj0Gt3P0zFvn3ZGtuDWX6I9VNV63-uB-GSVUFXMZ-wU1sxK0dYhke_QKLVo4XdB5ONASXueVFow9xyXjV6Wu0U8XXZBnI3nbNLzkyEpygsxKQyqcJRaLo2M6Nh0XAXTiU7h7o2oUCV_WfMP1rrLGh-SIsXUiBFNQr5JXEULGa8wmwmrUfNofJKW3WTmaMhr3NFCYGIOMJs2eoMEojCcyzgzq1poMrNxVFcqMORMo3fUO2FQsDKp4XdmUswmGoaKfmSddd4oGfBE_G5Fj7cuH26lxb1W3wG3HyIMuyA.aeQPGg.KKloBFLU8hkji65AK2EW7Djdkyk