2026-05-22T16:50:46Z https://rodare.hzdr.de/oai2d

oai:rodare.hzdr.de:1373 2022-01-10T13:57:27Z user-casus user-rodare

Günther, Ulrik Harrington, Kyle 2021-02-07 This is the video recording of the talk. https://rodare.hzdr.de/record/1373 10.14278/rodare.1373 oai:rodare.hzdr.de:1373 eng url:https://www.hzdr.de/publications/Publ-33910 url:https://www.hzdr.de/publications/Publ-33911 doi:10.14278/rodare.1372 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode visualisation rendering kotlin java jvm Data publication: Realtime 3D graphics and VR with Kotlin and Vulkan info:eu-repo/semantics/other video

oai:rodare.hzdr.de:3118 2025-02-03T14:10:23Z openaire_data user-rodare user-hibef

Laso García, Alejandro Yang, Long Huang, Lingen 2024-08-26 2D PIC of laser interaction with wire Flash simulations for the shock formation and propagation https://rodare.hzdr.de/record/3118 10.14278/rodare.3118 oai:rodare.hzdr.de:3118 url:https://www.hzdr.de/publications/Publ-39489 url:https://www.hzdr.de/publications/Publ-39473 doi:10.14278/rodare.3117 url:https://rodare.hzdr.de/communities/hibef url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Simulation data for "Cylindrical compression of thin wires by irradiation with a Joule-class short pulse laser" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3394 2025-11-03T06:50:43Z openaire_data user-hzdr user-rodare

Zhou, Wenyu Fischer, Cornelius 2025-01-21 The open datasets provide the Matlab scripts for the calculation of Power Spectra Density and Rate Spectra in the manuscirpt 'How crystal surface reactivity controls the evolution of surface microtopography during dissolution'. https://rodare.hzdr.de/record/3394 10.14278/rodare.3394 oai:rodare.hzdr.de:3394 url:https://www.hzdr.de/publications/Publ-40784 url:https://www.hzdr.de/publications/Publ-42112 doi:10.14278/rodare.3393 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess PSD analysis surface analysis Matlab Data publication: Matlab scripts for PSD measurments and rate spectra analysis info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:803 2021-02-11T09:25:37Z openaire_data user-rodare

Javadi, Aliyar 2021-02-08 Experimental data file for Paper on "Drop Size Dependence of the Apparent Surface Tension of Aqueous Solutions in Hexane Vapor as Studied by Drop Profile Analysis Tensiometry". These data are measured dynamic surface tension and variations of deviations from Young Laplace fitting, of different drop size of surfactants solution Tridecyl dimethyl phosphine oxide C13DMPO and Oxyethylated alcohol С14ЕО8 in water against air and hexane vapor. https://rodare.hzdr.de/record/803 10.14278/rodare.803 oai:rodare.hzdr.de:803 url:https://www.hzdr.de/publications/Publ-32273 url:https://www.hzdr.de/publications/Publ-32205 doi:10.14278/rodare.802 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Data File for Drop Size Dependence of the Apparent Surface Tension of Aqueous Solutions in Hexane Vapor info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3618 2025-10-17T05:48:11Z openaire_data user-fwi user-ibc user-rodare

Heins, Christopher Körber, Lukas Kim, J.-V. Devolder, T. Mentink, J. H. Kakay, Attila Faßbender, Jürgen Schultheiß, Katrin Schultheiß, Helmut 2024-12-16 This data publication contains the data for our publication "Self-induced Floquet magnons in magnetic vortices". The dataset is structured in folders corresponding to the different figures in the paper. Folder Fig-2 contains the simulated and experimental spectra measured with Brillouin-light-scattering microscopy. The experimental spectra contain the data integrated for the measurement positions described in the methods section. Folder Fig-4 contains the evaluated numerical data presented in the corresponding panels. Folder Fig-5 contains the experimental spectra measured with Brillouin-light-scattering microscopy as a function of power and time. Folder FIG-S1 contains the log file for the sample fabrication and scanning electron microscope (SEM) images. Important note for the SEM images: When acquiring the SEM images, the calibration of the Raith150 tool was off momentarily. This resulted in recording the wrong scale bars with the images. The structure dimensions are known from the design file and were confirmed at another time after adjusting the calibration. Folder S2 contains the BLS spectra for different frequencies of the gyration excitation. Folder S4 and S5 contain the simulated spectra for the respective shown panels. Folder S6 contains the power sweeps and time trace BLS data. Fig S9 contains the shown BLS data. https://rodare.hzdr.de/record/3618 10.14278/rodare.3618 oai:rodare.hzdr.de:3618 doi:10.17815/jlsrf-3-159 url:https://www.hzdr.de/publications/Publ-40242 url:https://www.hzdr.de/publications/Publ-39542 doi:10.14278/rodare.3339 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode magnetic vortex magnon Floquet states nonlinearity Data publication: Self-induced Floquet magnons in magnetic vortices info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2025 2025-06-03T14:53:57Z openaire_data user-rodare

Fridman, Emil 2022-12-13 This data set supplements the neutronics benchmark of the NuScale-like core. The data set includes spreadsheets with material compositions and the reference Serpent Monte Carlo solution https://rodare.hzdr.de/record/2025 10.14278/rodare.2025 oai:rodare.hzdr.de:2025 eng url:https://www.hzdr.de/publications/Publ-35855 doi:10.14278/rodare.2024 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode NuScale SMR benchmark Serpent Monte Carlo Dataset for neutronics benchmark of NuScale-like core info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1316 2021-12-15T07:28:30Z openaire_data user-casus user-hzdr user-rodare

Brosse, Sébastien Charpin, Nicolas Su, Guohuan Toussaint, Aurèle Herrera-R, Guido A. Tedesco, Pablo A. Villéger, Sébastien 2021-09-17 This dataset is publiched in the paper "FISHMORPH: A global database on morphological traits of freshwater fishes" in Global Ecology and Biogeography (doi.org/10.1111/geb.13395). The FISHMORPH database includes 10 morphological traits measured on 8,342 freshwater fish species, covering 48.69% of the world freshwater fish fauna. It provides the most comprehensive database on fish morphological traits to date. It represents an essential source of information for ecologists and environmental managers seeking to consider morphological patterns of fish faunas throughout the globe, and for those interested in current and future impacts of human activities on the morphological structure of fish assemblages. This study was supported by "Investissement d'Avenir" grants (Centre d'Etude de la Biodiversité Amazonienne, ANR-10-LABX-0025; Towards a unified theory of biotic interactions (TULIP), ANR-10-LABX-41). https://rodare.hzdr.de/record/1316 10.14278/rodare.1316 oai:rodare.hzdr.de:1316 url:https://www.hzdr.de/publications/Publ-33638 doi:10.14278/rodare.1315 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 Dataset in paper 'FISHMORPH: A global database on morphological traits of freshwater fishes' info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3196 2024-11-11T08:29:57Z openaire_data user-oncoray user-rodare

Berthold, Jonathan Hueso-González, Fernando Wohlfahrt, Patrick Bortfeld, Thomas Khamfongkhruea, Chirasak Tattenberg, Sebastian Zarifi, Melek Verburg, Joost Richter, Christian 2024-10-15 This publication contains all datasets of the anthropomorphic head phantom and corresponding treatment plans that are needed to conduct the presented benchmark experiments (related publication) with proton range verification systems. For comparison, the repository also contains the evaluated results of the prompt-gamma-spectroscopy (PGS) and prompt-gamma-imaging (PGI) systems. https://rodare.hzdr.de/record/3196 10.14278/rodare.3196 oai:rodare.hzdr.de:3196 eng url:https://www.hzdr.de/publications/Publ-39755 url:https://www.hzdr.de/publications/Publ-39032 doi:10.14278/rodare.3195 url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess proton therapy prompt gamma-ray range verification treatment verification Data publication: Inter-center comparison of proton range verification prototypes with an anthropomorphic head phantom info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1507 2022-08-12T10:50:23Z openaire_data user-rodare

Clauß, Oliver Schäker-Hübner, Linda Wenzel, Barbara Toussaint, Magali Deuther-Conrad, Winnie Gündel, Daniel Teodoro, Rodrigo Dukic-Stefanovic, Sladjana Ludwig, Friedrich-Alexander Kopka, Klaus Brust, Peter Hansen, Finn K. Scheunemann, Matthias 2022-03-10 The data publication contain: 1) Radiosynthesis data (Scheme of the synthesis module; RP-HPLC chromatograms of formulated [18F]BA3; MLC chromatograms of in vivo metabolism studies) 2) Biological data (Baseline TAC of CD-1 mice brain, biodistribution after i.v. injection of [18F]BA3) 3) Analytical data (1H, 13C, 19F NMR spectra; LC-MS chromatograms for final products) https://rodare.hzdr.de/record/1507 10.14278/rodare.1507 oai:rodare.hzdr.de:1507 url:https://www.hzdr.de/publications/Publ-34169 url:https://www.hzdr.de/publications/Publ-34366 doi:10.3390/ph15030324 doi:10.14278/rodare.1474 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode histone deacetylase inhibitor HDAC1/2-specific radiochemistry fluorine-18 labelling positron emission tomography (PET) brain-penetration glioblastoma glioma Data publication: Development and Biological Evaluation of the First Highly Potent and Specific Benzamide-Based Radiotracer [¹⁸F]BA3 for Imaging of Histone Deacetylases 1 and 2 in Brain info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:990 2024-08-13T12:13:03Z openaire_data openaire_data user-rodare user-fwi user-ibc

Singh, Abhishek Li, Jiang Pashkin, Oleksiy Rana, Rakesh Winnerl, Stephan Helm, Manfred Schneider, Harald 2021-05-21 This is the raw data related to the publication "High-field THz pulses from a GaAs photoconductive emitter for non-linear THz studies". The file "THzPowerMeasurement.xlsx" is manually noted THz power reading from the locking. It is used for Figs. 2(a&b). The file "005-PCA-60V_100mW.thz" is the THz time-domain data corresponding to Fig2 (c). The files "017******* to 027**********" are data corresponding to Figs 3(a&b). Plots in Figs. 4(b-d) are also calculated from these data files. The files "003-PCA-1mm.thz", "004-PCA-withoutAperture.thz", and "005-PCA-1point2mm.thz" are data used for THz spot diameter calculation. https://rodare.hzdr.de/record/990 10.14278/rodare.990 oai:rodare.hzdr.de:990 eng doi:10.17815/jlsrf-3-159 doi:10.1364/OE.427247 url:https://www.hzdr.de/publications/Publ-32657 url:https://www.hzdr.de/publications/Publ-32614 doi:10.14278/rodare.989 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Terahertz emitter Photoconductive THz emitter Nonlinear THz effects High-field THz pulses from a GaAs photoconductive emitter for non-linear THz studies info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2724 2024-10-24T14:59:37Z openaire_data user-rodare

Fiedler, Lenz Cangi, Attila 2024-01-31 Retrained Models and Scripts for Aluminum at 298K and 933K Authors - Fiedler, Lenz (HZDR/CASUS) - Cangi, Attila (HZDR/CASUS) Affiliations: HZDR - Helmholtz-Zentrum Dresden-Rossendorf CASUS - Center for Advanced Systems Understanding Data set description This data sets contains models, scripts and inference results for aluminum at room temperature and the melting point. Training data, hyperparameters and general methodology follow Ref. [1]. The models here are retrained versions of the ones discussed in this publication, and therefore retrained versions of the models contained in Ref. [2]. As such, data from Ref. [2] has been used. Only a subset of models contained in Ref. [1] have been retrained, namely the room temperature model, one liquid and one solid melting point model with four training snapshot each, and the final melting point hybrid model (six training snapshots per phase). Furthermore, for both the hybrid melting temperature model and the room temperature model, multiple models with different initializations were trained. All models were trained with the MALA code [3] version 1.2.1. They show better accuracy than their original counterparts, as they were trained using the inter-snapshot shuffling algorithm first discussed for the MALA code in Ref. [4]. [1] - "Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks", Physical Review B, doi.org/10.1103/PhysRevB.104.035120 [2] - "RODARE", doi.org/10.14278/rodare.2485 (v1.0.0) [3] - "MALA", Zenodo, doi.org/10.5281/zenodo.5557254 [4] - "Machine learning the electronic structure of matter across temperatures", Physical Review B, doi.org/10.1103/PhysRevB.108.125146 Contents - The models themselves, labeled as either Al298K or Al933K, given as one .zip file per model - For 933K, additionally "liquid", "solid" and "hybrid" denotes the training data set - For ensembles, a running index denotes the number in the ensemble - Inference results, given as a single .zip file - For all models, band energy and total free energy results are given in the .csv format - The columns in these files correspond to "Calculated via DFT LDOS", "Calculated via ML-DFT LDOS", "Calculated via Kohn-Sham system", respectively - For some models, additionally the predicted electronic density and density of states on select snapshots is given - Shuffling, training and testing scripts, given as a single .zip file - Scripts are ready-to-use with suitable MALA installation, however, correct data paths have to be filled in https://rodare.hzdr.de/record/2724 10.14278/rodare.2724 oai:rodare.hzdr.de:2724 url:https://www.hzdr.de/publications/Publ-38719 doi:10.14278/rodare.2723 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Retrained Models and Scripts for Aluminum at 298K and 933K info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3575 2025-03-03T13:40:09Z openaire_data user-rodare user-pet-center

Nguyen-Le, Trang-Anh Neuber, Christin Cela, Isli Janićijević, Željko Rodrigues Loureiro, Liliana Raquel Hoffmann, Lydia Feldmann, Anja Bachmann, Michael Baraban, Larysa 2025-02-20 Measurement datasets collected from extended gate Field Effect Transistor biosensor and radioactivity measurements https://rodare.hzdr.de/record/3575 10.14278/rodare.3575 oai:rodare.hzdr.de:3575 doi:10.1002/smsc.202400515 url:https://www.hzdr.de/publications/Publ-41016 url:https://www.hzdr.de/publications/Publ-40710 doi:10.14278/rodare.3574 url:https://rodare.hzdr.de/communities/pet-center url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode immunosensor field-effect-transistor immunotherapy precision medicine point-of-care extended gate biosensor Data publication: Towards Personalized Immunotherapeutic Drug Monitoring with Multiplexed Extended Gate FET Biosensors info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:66 2018-10-30T12:42:21Z openaire_data user-fwk user-health user-hzdr user-matter user-rodare

Obst-Huebl, Lieselotte Ziegler, Tim Brack, Florian-Emanuel Branco, João Bussmann, Michael Cowan, Thomas E. Curry, Chandra B. Fiuza, Frederico Garten, Marco Gauthier, Maxence Göde, Sebastian Glenzer, Siegfried H. Huebl, Axel Irman, Arie Kim, Jongjin B. Kluge, Thomas Kraft, Stephan Kroll, Florian Metzkes-Ng, Josefine Pausch, Richard Prencipe, Irene Rehwald, Martin Rödel, Christian Schlenvoigt, Hans-Peter Schramm, Ulrich Zeil, Karl 2018-10-30 This data repository contains analyzed data files of the shown figures and simulation input files. Please see the according README.txt files in the individual directories and the original manuscript for guidance. Manuscript title: All-optical structuring of laser-driven proton beam profiles Authors: Lieselotte Obst, Tim Ziegler, Florian-Emanuel Brack, Joao Branco, Michael Bussmann, Thomas E. Cowan, Chandra B. Curry, Frederico Fiuza, Marco Garten, Maxence Gauthier, Sebastian Göde, Siegfried H. Glenzer, Axel Huebl, Arie Irman, Siegfried H. Glenzer, Axel Huebl, Arie Irman, Jongjin B. Kim, Thomas Kluge, Stephan Kraft, Florian Kroll, Josefine Metzkes-Ng, Richard Pausch, Irene Prencipe, Martin Rehwald, Christian Rödel, Hans-Peter Schlenvoigt, Ulrich Schramm, Karl Zeil Submitted to: Nature Communications (2018) Responsible for the data repository: Lieselotte Obst-Huebl, TU Dresden and HZDR Axel Huebl, TU Dresden and HZDR Tim Ziegler, TU Dresden and HZDR Thomas Kluge, HZDR https://rodare.hzdr.de/record/66 10.14278/rodare.66 oai:rodare.hzdr.de:66 url:https://www.hzdr.de/publications/Publ-28136 doi:10.14278/rodare.65 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/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode All-optical structuring of laser-driven proton beam profiles data sets info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4101 2025-11-12T07:07:09Z openaire_data user-rodare user-zrt

Craig, Austin Sachse, Frederik Laube, Markus Brandt, Florian Kopka, Klaus Stadlbauer, Sven 2025-11-10 This Dataset contains raw NMR spectra, IR spectra, (U)HPLC chromatograms and HRMS spectra of reported compounds. https://rodare.hzdr.de/record/4101 10.14278/rodare.4101 oai:rodare.hzdr.de:4101 doi:10.3390/pharmaceutics17070837 url:https://www.hzdr.de/publications/Publ-42159 doi:10.3390/pharmaceutics17070837 url:https://www.hzdr.de/publications/Publ-42091 doi:10.14278/rodare.4100 url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/zrt info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode copper-mediated radiohalogenation (CMRH) ¹⁸F-fluorination ¹²³I-iodination positron emission tomography (PET) radiohalogenation single-photon emission computed tomography (SPECT) prosthetic group Data publication: PET and SPECT Tracer Development via Copper-Mediated Radiohalogenation of Divergent and Stable Aryl-Boronic Esters info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2033 2022-12-20T10:39:37Z software user-mu2e user-rodare

Müller, Stefan 2022-12-15 This publication contains configuration files for simulations using the FLUKA2021 radiation transport package for mu- and pi- yields for different production target designs for a possible Mu2e-II experiment at FNAL, US. Funding obtained from H2020 Grant Agreement No 10100672. The work is related to Fermilab LDRD ""Pion-production target conceptual studies for Mu2e-II" (FNAL-LDRD-2020-020) https://rodare.hzdr.de/record/2033 10.14278/rodare.2033 oai:rodare.hzdr.de:2033 url:https://www.hzdr.de/publications/Publ-35191 url:https://www.hzdr.de/publications/Publ-35861 doi:10.14278/rodare.2032 url:https://rodare.hzdr.de/communities/mu2e url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode FLUKA MU2E-II Particle yield calculations for different target designs at Mu2e-II info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2126 2026-02-27T10:10:01Z openaire_data user-energy user-rodare

Missana, Tiziana Alonso, Ursula Mayordomo, Natalia García-Gutiérrez, Miguel 2023-01-29 Cadmium (Cd) is a toxic heavy metal with very low permissible exposure limits and is, thus, a very dangerous pollutant for the environment and public health and is considered by the World Health Organisation as one of the ten chemicals of major public concern. Adsorption onto solid phases and (co)precipitation processes are the most powerful mechanisms to retain pollutants and limit their migration; thus, the understanding of these processes is fundamental for assessing the risks of their presence in the environment. In this study, the immobilisation of Cd by smectite clay has been investigated by batch sorption tests, and the experimental data were interpreted with a thermodynamic model, including cation exchange and surface complexation processes. The model can describe the adsorption of Cd in smectite under a wide range of experimental conditions (pH, ionic strength, and Cd concentration). Under the conditions analysed in this study, the precipitation of otavite (CdCO₃) is shown to have a limited contribution to Cd immobilisation. https://rodare.hzdr.de/record/2126 10.14278/rodare.2126 oai:rodare.hzdr.de:2126 doi:10.3390/toxics11020130 url:https://www.hzdr.de/publications/Publ-36480 url:https://www.hzdr.de/publications/Publ-36478 doi:10.14278/rodare.2125 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode contaminants cadmium adsorption surface complexation modelling cation exchange risk assessment clays geochemical barrier otavite Data publication: Analysis of Cadmium Retention Mechanisms by a Smectite Clay in the Presence of Carbonates info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:336 2023-01-16T13:51:10Z openaire_data user-energy user-rodare

Pereira, Lucas Frenzel, Max Khodadadzadeh, Mahdi Tolosana Delgado, Raimon Gutzmer, Jens 2020-05-19 This file contains a train and a test datasets that can be used to construct fictional mineral processing studies, on a particle level, using known equations for different separation techniques. This data was collected with a mineral liberation analyzer at the Helmholtz Institute Freiberg for Resource Technology. The probabilities, and classes present together with the data are part of a publication in the journal of cleaner production. These could be simply removed in order to construct new cases. https://rodare.hzdr.de/record/336 10.14278/rodare.336 oai:rodare.hzdr.de:336 eng doi:10.1016/j.jclepro.2020.123711 url:https://www.hzdr.de/publications/Publ-31053 url:https://www.hzdr.de/publications/Publ-30727 doi:10.14278/rodare.335 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode particle-tracking geometallurgy mineral processing modelling flotation automated mineralogy resource efficiency Particle dataset for constructing mineral processing case studies info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1645 2022-05-30T07:06:04Z openaire_data user-matter user-hzdr user-rodare

Thiessenhusen, Erik Hoffmann, Nico Kluge, Thomas 2022-05-25 This simulated dataset consists of 48k train, 6k validation and 6k test data in the h5py file format. A small example on how to access the data is located in the python script "load_data_example.py". "all_params.h5" are the three parameters of each grating in the order sigma, g, b. "all_dist.h5" are the gratings and "all_endproduct.h5" are the 2048D lineouts of the SAXS diffraction pattern. Besides the |FFT|^2 SAXS propagator a number of pertubations were implemented in order to close the domain gap between simulation and experiment. https://rodare.hzdr.de/record/1645 10.14278/rodare.1645 oai:rodare.hzdr.de:1645 eng url:https://www.hzdr.de/publications/Publ-34715 doi:10.14278/rodare.1644 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 SAXS lineout grating inversion Dataset for Inversion of 1D SAXS grating signal info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4561 2026-03-26T07:34:01Z openaire_data user-fwd user-rodare

Huang, Guangyuan Tan, Shiyong Hessenkemper, Hendrik Lucas, Dirk Eckert, Kerstin Ni, Rui Bourgoin, Mickael Bragg, Andrew Ma, Tian 2026-03-15 This data publication contains the data to reproduce the figures for the paper "Super-ballistic pair dispersion in bubble-induced turbulence: Contrast between tracers and bubbles". https://rodare.hzdr.de/record/4561 10.14278/rodare.4561 oai:rodare.hzdr.de:4561 url:https://www.hzdr.de/publications/Publ-43133 doi:10.14278/rodare.4560 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Super-ballistic pair dispersion in bubble-induced turbulence: Contrast between tracers and bubbles info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2334 2026-02-18T08:39:13Z software user-hzdr user-rodare

Voigt, Martin Ufer, Robert Schacht, Wilhelm Knodel, Oliver Pape, David Lokamani, Mani Müller, Stefan Gruber, Thomas Kelling, Jeffrey 2023-06-15 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.193 https://rodare.hzdr.de/record/2334 10.14278/rodare.2334 oai:rodare.hzdr.de:2334 eng doi:10.14278/rodare.1652 url:https://www.hzdr.de/publications/Publ-32537 url:https://gitlab.hzdr.de/heliport/heliport doi:10.14278/rodare.938 doi:10.14278/rodare.252 doi:10.14278/rodare.2162 doi:10.14278/rodare.193 doi:10.14278/rodare.939 url:https://www.hzdr.de/publications/Publ-32537 url:https://www.hzdr.de/publications/Publ-29873 url:https://gitlab.hzdr.de/heliport/heliport url:https://heliport.hzdr.de/ url:https://heliport.hzdr.de/ url:https://www.hzdr.de/publications/Publ-33129 doi:10.14278/rodare.1343 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 lifecycle FAIR data managment HELIPORT (HELmholtz ScIentific Project WORkflow PlaTform) info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4514 2026-02-18T10:09:53Z software user-hzdr user-rodare

Voigt, Martin Ufer, Robert Schacht, Wilhelm Knodel, Oliver Pape, David Lokamani, Mani Müller, Stefan Gruber, Thomas Kelling, Jeffrey 2026-02-18 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.193 https://rodare.hzdr.de/record/4514 10.14278/rodare.4514 oai:rodare.hzdr.de:4514 eng doi:10.14278/rodare.1652 url:https://www.hzdr.de/publications/Publ-32537 url:https://gitlab.hzdr.de/heliport/heliport doi:10.14278/rodare.938 doi:10.14278/rodare.252 doi:10.14278/rodare.2162 doi:10.14278/rodare.193 doi:10.14278/rodare.939 url:https://www.hzdr.de/publications/Publ-32537 url:https://www.hzdr.de/publications/Publ-29873 url:https://gitlab.hzdr.de/heliport/heliport url:https://heliport.hzdr.de/ url:https://heliport.hzdr.de/ url:https://www.hzdr.de/publications/Publ-33129 doi:10.14278/rodare.1343 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 lifecycle FAIR data managment HELIPORT (HELmholtz ScIentific Project WORkflow PlaTform) info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4640 2026-05-07T06:34:56Z openaire_data user-rodare

Wagner, Michael Reinicke, Sebastian Eisenhofer, Suzanne Michele Alt, Sören Kratzsch, Alexander Hampel, Uwe 2026-05-04 Messdatenarchiv zum Vorhaben DCS-Monitor II https://rodare.hzdr.de/record/4640 10.14278/rodare.4640 oai:rodare.hzdr.de:4640 url:https://www.hzdr.de/publications/Publ-43338 doi:10.14278/rodare.4639 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Messdatenarchiv zum Vorhaben DCS-Monitor II info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1465 2022-03-09T13:10:53Z openaire_data user-matter user-fwi user-rodare

Schwabe, Stefan Lünser, Klara Schmidt, Daniel Nielsch, Kornelius Gaal, Peter Fähler, Sebastian 2022-03-02 Measured synchrotron data and calculated thermal evaluation during irradiation with the laser pulse. https://rodare.hzdr.de/record/1465 10.14278/rodare.1465 oai:rodare.hzdr.de:1465 eng url:http://arxiv.org/abs/2202.12581 url:https://www.hzdr.de/publications/Publ-34354 url:https://www.hzdr.de/publications/Publ-34330 doi:10.14278/rodare.1464 url:https://rodare.hzdr.de/communities/fwi 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 Syncrotron data calculated thermal evaluation Data Publication: What is the speed limit of martensitic transformations? info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2634 2024-01-08T07:05:16Z openaire_data user-rodare

Stadler, Julia Vogel, Manja Steudtner, Robin Drobot, Björn Kogiomtzidis, Anna Weiss, Martin Walther, Clemens 2024-01-05 Archiv of research data for the manuscript https://rodare.hzdr.de/record/2634 10.14278/rodare.2634 oai:rodare.hzdr.de:2634 doi:10.1016/j.chemosphere.2022.137252 url:https://www.hzdr.de/publications/Publ-35622 url:https://www.hzdr.de/publications/Publ-35129 doi:10.14278/rodare.2633 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Rare earth elements plant uptake species analysis europium imaging 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:2326 2024-07-01T12:31:35Z software user-rodare user-fwd user-energy

Lecrivain, Gregory 2023-06-07 Source code associated with publication entitled "Self-folding of two-dimensional thin templates into pyramidal micro-structures by a liquid drop - a numerical model" src.tar.gz: c++ source code scripts.tar.gz: figures manuscript.tar.gz: text ca70_side5_ec2.0.tar.gz: Simulation data obtained for Ca=70 deg, N = 5 and Ec = 2 ca90_side5_ec2.0.tar.gz: Simulation data obtained for Ca=90 deg, N = 5 and Ec = 2 https://rodare.hzdr.de/record/2326 10.14278/rodare.2326 oai:rodare.hzdr.de:2326 url:https://www.hzdr.de/publications/Publ-37084 url:https://www.hzdr.de/publications/Publ-37083 doi:10.14278/rodare.2325 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Self-folding of two-dimensional thin templates into pyramidal micro-structures by a liquid drop - a numerical model info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2803 2024-07-01T12:31:35Z software user-rodare user-fwd user-energy

Lecrivain, Gregory Lecrivain, Gregory 2024-04-14 Source files and selected raw data related to the manuscript "Self-folding of two-dimensional thin templates into pyramidal micro-structures by a liquid drop - a numerical model" by Gregory Lecrivain, Helmholtz-Zentrum Dresden-Rossendorf, Germany, 2024. 1) folder "manuscript", This folder contains all text documents related to manuscript. Text and final figures are found in the directory. 2) folder "scripts" This folder contains python and bash scripts used to post process the raw data and prepare the figures.You will need to install some python3 libraries. Use the following command pip install pyquaternion matplotlib scipy intersect 3) folder "figures" This folder contain information on how to run the simulations related to the figure. More information in README file in each figure/figureX subfloder with X the figure number in the manuscript. 4) folder "src" This folder contains the all c++ files related to the source code. 4.1) Prior to compiling, you should have gcc(7.3.0), openmpi(2.1.2), make(4.3), cmake(3.20.2), python(3.8.0), blas(3.8.0), lapack(3.8.0), boost(1.78.0), and git(2.30.1) available on your machine. The version number in the parenthesis corresponds to the one I used on the local HPC available at my institution. In my case, I type "module load gcc/7.3.0 openmpi/2.1.2 make/4.3 cmake/3.20.2 python/3.8.0 blas/3.8.0 lapack/3.8.0 boost/1.78.0 git/2.30.1". 4.2) To compile the libraries, open a terminal, cd to the src directory and type "make libs". All outputs will placed in the folder $HOME/local. The libraries' tarballs needed to compile the code are placed in the Libs directory. 4.3) I have manually installed paraview 5.9.1 in $HOME/Paraview/ParaView-5.9.1-MPI-Linux-Python3.8-64bit/. pvpython is used to export txt data (hinge, drop and three-phase contact line) to vtk format. 4.4) Open your ~/.bashrc file and add the following lines. export IGL_NUM_THREADS=1 export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/local/libconfig-1.7.3/lib export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/local/gmp-6.2.1/lib export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/local/mpfr-4.1.0/lib export PATH=$PATH:$HOME/Documents/microorigami/src #(or whereever, your chosen parent directory is) export PATH=$PATH:$HOME/Documents/microorigami/scripts #(or whereever, your chosen parent directory is) export PATH=$PATH:$HOME/Documents/microorigami/paraview/bin #(or whatever path you used) 4.5) open a new terminal, cd to the src directory and type "make check_library_path". The terminal should return "library path to libconfig is correct" "library path to gmp is correct" "library path to mpfr is correct" If that is the case, i.e. the paths are correctly set. To compile, type "make main post". Alternatively, one can speed up the installation by typing "make -j 4 main post", where 4 is the number of cpus I use. 4.6) Help is available in each header file (.h) in the form of doxygen comments. Type "make doxy". The folder html will appear under src. 4.7) Type "make clean" to clean the src folder 5) folders "caX_sideY_ecZ.zip" The zip files contains, where where X = 70 is the contact angle, Y = 5 the number of side panels and Z = 0.8, 1.6 and 2.4 the elasto-capillary number, are selected raw data related to Figure 10. All other raw data can be reproduced by following the commands in the README text file located in each figX folder, with X=1,2,...,13. After extraction, three folders will be created, namely wd/ca70/side5/ec0.8, wd/ca70/side5/ec1.6 and wd/ca70/side5/ec2.4, where wd is your working directory. To convert the data into human-readable format (txt, vtk, stl,...) type "source Utils.sh; ExportScript --verbose --submit" in the working directory wd on the hpc. The bash function ExportScript is located in "scripts/Utils.sh". https://rodare.hzdr.de/record/2803 10.14278/rodare.2803 oai:rodare.hzdr.de:2803 eng url:https://www.hzdr.de/publications/Publ-37084 url:https://www.hzdr.de/publications/Publ-37083 doi:10.14278/rodare.2325 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Micro-origami simulation drop encapsulation self-folding fluid-structure interaction Self-folding of two-dimensional thin templates into pyramidal micro-structures by a liquid drop - a numerical model info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3183 2024-10-07T10:59:07Z user-rodare

Techert, Gerda Drobot, Björn Braun, Robert Bloß, Christoph Schönberger, Nora Matys, Sabine Pollmann, Katrin Lederer, Franziska 2024-10-02 1. Sequenzierdaten als Excel-File zu Europiumion-bindenden Peptiden 2. TRLFS-Rohdaten zu Bindungsstudien von potenziell Europiumion-bindenden Peptiden mit Europiumionen 3. TRLFS-Diagramme zu Bindungsstudien von potenziell Europiumion-bindenden Peptiden mit Europiumionen https://rodare.hzdr.de/record/3183 10.14278/rodare.3183 oai:rodare.hzdr.de:3183 url:https://www.hzdr.de/publications/Publ-39712 url:https://www.hzdr.de/publications/Publ-39710 doi:10.14278/rodare.3182 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode europium REE recovery phage surface display peptides next generation sequencing Data publication: Application of Phage Surface Display for the Identification of Eu3+-binding Peptides info:eu-repo/semantics/other image-figure

oai:rodare.hzdr.de:3338 2025-01-20T07:31:08Z openaire_data user-rodare

Kohlfürst, Christian 2024-12-16 Data sets used to generate the figures and tables in the associated paper. In addition, Matlab files have been attached to ensure that the data can be read correctly. https://rodare.hzdr.de/record/3338 10.14278/rodare.3338 oai:rodare.hzdr.de:3338 doi:10.1103/PhysRevD.110.L111903 doi:10.48550/arXiv.2212.03180 url:https://www.hzdr.de/publications/Publ-40230 url:https://www.hzdr.de/publications/Publ-35736 doi:10.14278/rodare.3337 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Strong-Field Quantum Electrodynamics Electron-Positron Pair Production Breit-Wheeler Process Non-equilibrium quantum field theory Wigner formalism Data publication: Pair Production in Circularly Polarized Waves info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4563 2026-03-17T09:47:54Z openaire_data user-rodare

Dornheim, Tobias Benedix Robles, Alexander Hamann, Paul Chuna, Thomas Michael Svensson, Pontus Schwalbe, Sebastian Moldabekov, Zhandos Tolias, Panagiotis Vorberger, Jan 2026-03-16 This repository contains the PIMC raw data for the publication "Taylor series perspective on ab initio path integral Monte Carlo simulations with Fermi-Dirac statistics" using the same units and formatting as in the plots. https://rodare.hzdr.de/record/4563 10.14278/rodare.4563 oai:rodare.hzdr.de:4563 url:https://www.hzdr.de/publications/Publ-43150 url:https://www.hzdr.de/publications/Publ-41848 doi:10.14278/rodare.4562 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: Taylor series perspective on ab initio path integral Monte Carlo simulations with Fermi-Dirac statistics info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:741 2021-01-12T13:40:36Z software user-rodare

Smid, Michal Pan, Xiayun Falk, Katerina 2021-01-12 This is a a newly developed ray tracing code called mmpxrt, dedicated to study and design x-ray crystal optics, with a special focus on mosaic crystal spectrometers. Its main advantage over other currently available ray tracing codes is that it includes detailed and benchmarked algorithm to treat mosaic crystals, especially HOPG and HAPG (Highly Oriented / Annealed Pyrolitic Graphite). The code is dedicated primarily to study crystal spectrometers, therefore their implementation is very straightforward, and the code has mostly automatic evaluation of their performance. It can, however, be used universally to study other crystal instruments, like monochromators, mirrors, and analyzers. The code is publicly available in HZDR's Gitlab, written in Python3 and is distributed as a Python library with test cases included. https://rodare.hzdr.de/record/741 10.14278/rodare.741 oai:rodare.hzdr.de:741 eng url:https://www.hzdr.de/publications/Publ-30433 url:https://www.hzdr.de/publications/Publ-29826 doi:10.14278/rodare.740 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode mosaic crystal x-ray spectroscopy ray tracing Python3 Mmpxrt; X-ray spectrometer simulation code with a detailed support of mosaic crystals. info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1989 2024-09-12T11:38:18Z user-rodare user-dresdyn

Pizzi, Federico Giesecke, André Simkanin, Jan Kumar, Vivaswat Gundrum, Thomas Stefani, Frank 2022-12-02 This dataset is the base of the publication. It has been computed through a fully nonlinear DNS code (SEMTEX) and a code for the computation of magnetic field written by Dr. Andre' Giesecke. https://rodare.hzdr.de/record/1989 10.14278/rodare.1989 oai:rodare.hzdr.de:1989 doi:10.58065/51358 doi:10.22364/mhd.58.4.8 url:https://www.hzdr.de/publications/Publ-35633 url:https://www.hzdr.de/publications/Publ-35531 doi:10.14278/rodare.1988 url:https://rodare.hzdr.de/communities/dresdyn url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Direct Numerical Simulations (DNS) Dynamo MHD Data publication: Numerical and theoretical framework for the DRESDYN precession dynamo experiment info:eu-repo/semantics/other image-figure

oai:rodare.hzdr.de:3818 2025-12-11T06:26:55Z openaire_data user-rodare user-ibc user-fwi

Cherkouk, Charaf Ferch, Marc Hahn, Robert Weigel, Tina Köhler, Thomas Ludt, Christian Stöcker, Hartmut Delan, Annekatrin Munnik, Frans Kentsch, Ulrich Folgner, Christoph Schumann, Thomas Begeza, Viktor Cheng, Yu Zhou, Shengqiang Rebohle, Lars 2025-06-18 Satz von Daten der zyklierung von Batteriezellen als Excel- Datei, wie in der vorliegenden Publikation dargestellt und beschrieben sind. https://rodare.hzdr.de/record/3818 10.14278/rodare.3818 oai:rodare.hzdr.de:3818 doi:10.17815/jlsrf-3-159 url:https://www.hzdr.de/publications/Publ-41492 url:https://www.hzdr.de/publications/Publ-41463 doi:10.14278/rodare.3817 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess lithium ion batteries Prelithiation silicon anode ion implantation Data publication: Prelithiation of silicon thin film anodes using ion implantation for lithium ion batteries info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3150 2025-10-22T12:51:56Z software user-rodare

Pape, David Lokamani, Mani Seal, Ayush Kelling, Jeffrey Knodel, Oliver Fahmy, Karim Juckeland, Guido 2024-09-19 Curve fitting automation for metabolic load of bacteria in solutions. https://rodare.hzdr.de/record/3150 10.14278/rodare.3150 oai:rodare.hzdr.de:3150 eng doi:10.14278/1e4y-rc46 doi:10.3390/microorganisms10071397 url:https://www.hzdr.de/publications/Publ-39303 doi:10.14278/rodare.3151 url:https://www.hzdr.de/publications/Publ-34922 doi:10.14278/rodare.3049 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/Apache-2.0 metabolic load microcalorimetry curve fitting data science METABOLATOR: Analysis of Microcalorimetric Metabolic Data Using Monod's Equation info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3190 2025-10-22T12:51:56Z software user-rodare

Pape, David Lokamani, Mani Seal, Ayush Kelling, Jeffrey Knodel, Oliver Fahmy, Karim Juckeland, Guido 2024-10-10 Curve fitting automation for metabolic load of bacteria in solutions. https://rodare.hzdr.de/record/3190 10.14278/rodare.3190 oai:rodare.hzdr.de:3190 eng doi:10.14278/1e4y-rc46 doi:10.14278/rodare.3151 doi:10.14278/rodare.3175 doi:10.3390/microorganisms10071397 url:https://www.hzdr.de/publications/Publ-39303 url:https://www.hzdr.de/publications/Publ-34922 doi:10.14278/rodare.3049 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/Apache-2.0 metabolic load microcalorimetry curve fitting data science METABOLATOR: Analysis of Microcalorimetric Metabolic Data Using Monod's Equation info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4049 2025-10-22T12:51:56Z software user-rodare

Pape, David Lokamani, Mani Ravi, Nanda Kumar Seal, Ayush Kelling, Jeffrey Knodel, Oliver Fahmy, Karim Juckeland, Guido 2025-10-21 Curve fitting automation for metabolic load of bacteria in solutions. https://rodare.hzdr.de/record/4049 10.14278/rodare.4049 oai:rodare.hzdr.de:4049 eng doi:10.14278/1e4y-rc46 doi:10.14278/rodare.3151 doi:10.14278/rodare.3175 doi:10.3390/microorganisms10071397 url:https://www.hzdr.de/publications/Publ-39303 url:https://www.hzdr.de/publications/Publ-34922 doi:10.14278/rodare.3049 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/Apache-2.0 metabolic load microcalorimetry curve fitting data science METABOLATOR: Analysis of Microcalorimetric Metabolic Data Using Monod's Equation info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3789 2025-06-06T08:09:24Z openaire_data openaire_data user-rodare

Kachroo, Himanshu Doddapaneni, Tharaka Rama Krishna C. Verma, Vishal Kumar Kaushal, Priyanka Jain, Rohan 2025-06-05 Experimental data and figures are all present in the manuscript https://rodare.hzdr.de/record/3789 10.14278/rodare.3789 oai:rodare.hzdr.de:3789 url:https://www.hzdr.de/publications/Publ-41401 url:https://www.hzdr.de/publications/Publ-41400 doi:10.14278/rodare.3788 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Lignocellulosic biomass Torrefaction condensate Optimization Artificial neural network Biomethane Cost assessment Data publication: Integrated Biofuel Production from Rice Husk and Rice Straw via Torrefaction and Anaerobic Digestion: Optimization and Economic Viability info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:925 2024-08-14T10:39:14Z openaire_data user-fwd user-rodare user-topflow

Kipping, Ragna Hampel, Uwe 2021-04-13 This data set contains gas phase hydrodynamic data obtained from ultrafast X-ray tomography measurements in a bubble column. Global and local gas holdups, as well as bubble size distributions are given for I) non reactive conditions with nitrogen (gas) and sodium hydroxide solution (liquid) and II) reactive conditions with carbon dioxide (gas) and sodium hydroxide solution (liquid). Additionally the data set contains the corresponding consumption rates obtained from wire-mesh sensor measurements. Furhter details on the experiments are explained in the corresponding journal paper. Financial support from the German Research Council (Deutsche Forschungsgemeinschaft) within the Priority Research Program SPP-1740 "Reactive Bubbly Flows" under contract number HA 3088/8-2 is gratefully acknowledged. https://rodare.hzdr.de/record/925 10.14278/rodare.925 oai:rodare.hzdr.de:925 eng doi:10.1016/j.cherd.2021.04.020 url:https://www.hzdr.de/publications/Publ-32533 url:https://www.hzdr.de/publications/Publ-32261 doi:10.14278/rodare.924 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/topflow info:eu-repo/semantics/restrictedAccess bubble columns wire-mesh sensor UFXCT Dataset for: Chemical absorption measurements in a lab scale bubble column info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3233 2024-10-29T12:18:17Z openaire_data user-hzdr user-matter user-rodare

Brevis, Felipe Landeros, Pedro Lindner, Jürgen Kakay, Attila Körber, Lukas 2024-10-17 This archive contains the raw data as well as the Tetrax (www.tetrax.software) Jupyter notebooks to produce the data that has been analyzed and used for the manuscript: Curvature-induced parity loss and hybridization of magnons: Exploring the connection of flat and tubular magnetic shells, Physical Review B 110, 134428 (2024), published on 17 October, 2024. https://rodare.hzdr.de/record/3233 10.14278/rodare.3233 oai:rodare.hzdr.de:3233 url:https://www.hzdr.de/publications/Publ-39826 url:https://www.hzdr.de/publications/Publ-39818 doi:10.14278/rodare.3232 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 curvature-induced spin waves mignons hybridization parity Data publication: Curvature-induced parity loss and hybridization of magnons: Exploring the connection of flat and tubular magnetic shells info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2668 2025-10-09T14:31:40Z openaire_data user-rodare user-health

Li, Rui Della Maggiora Valdes, Gabriel Eugenio Andriasyan, Vardan Petkidis, Anthony Yushkevich, Artsemi Kudryashev, Mikhail Yakimovich, Artur 2024-01-12 How to cite us Li, R., Della Maggiora, G., Andriasyan, V., Petkidis, A., Yushkevich, A., Deshpande, N., ... & Yakimovich, A. (2024). Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model. Communications Engineering, 3(1), 186. @article{li2024microscopy, title={Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model}, author={Li, Rui and Della Maggiora, Gabriel and Andriasyan, Vardan and Petkidis, Anthony and Yushkevich, Artsemi and Deshpande, Nikita and Kudryashev, Mikhail and Yakimovich, Artur}, journal={Communications Engineering}, volume={3}, number={1}, pages={186}, year={2024}, publisher={Nature Publishing Group UK London} } Download Timeout Troubleshooting Use "-C" flag of curl in case you experience timeout of the download: curl -C - https://rodare...tar.gz_part1\?download\=1 --output spa.tar.gz_part1 Dataset This dataset contains a sample of 600 fluorescently labelled nuclei of cultured cells imaged using widefield fluorescence microscopy and confocal fluorescence microscopy at different focal planes. Image preprocessing Notably, the hardware precision of the sectioning process led to variations in the step size when shifting the focal plane between the two devices. This resulted in distinct z-dimensions between the datasets obtained from the two microscopy techniques. The confocal stacks in raw data comprised 92 focal planes, whereas the widefield stacks consisted of only 40 slices. Each focal plane image had a shape [2048, 2048, 1]. Assuming the central slice of each stack to be the in-focus, we performed z-direction registration by downsampling the confocal stacks from the central slice (46th) to match the 40 slices of the widefield stacks. Due to the instrumental limitations, a slight drift was noticeable between images. To address this, we used the phase cross-correlation algorithm [2] to compensate for the offsets on the x-y plane for the z-dimension registered image stacks. Having completed the registration and alignment along three dimensions, we then partitioned the original images into non-overlapping patches with dimensions of [128, 128, 1] in the xy plane. This partitioned dataset serves as the test dataset for validating our blind-deconvolution model, conducted without the specific Point Spread Function (PSF) parameters [3]. Files description The Widefield-confocal Microscopy Dataset is stored in the '*.npz' format, encompassing the variables 'c_img' and 'w_img.' These handles respectively denote the confocal images and their corresponding widefield microscopy images. Both types of data undergo registration, alignment, and normalization, with values scaled to range between [0.0, 1.0]. For each category, the data has a shape of [600, 128, 128, 40], where the first dimension denotes the individual field of view and the last dimension signifies the z-dimension representing changes in the focal plane for virtual sectioning. The first dimension corresponds to the patch number, each with a patch size of [128, 128]. Sample preparation and microscopy A549 lung carcinoma cell line cells were seeded in 96-well imaging plates a night prior to imaging, then fixed with 4% paraformaldehyde (Sigma) and stained for DNA with Hoechst 33342 fluorescent dye (Sigma). Cell culture was maintained similarly to the procedures described in [1]. Next, stained cell nuclei were imaged using ImageXpress Confocal system (Molecular Devices) in either confocal or widefield mode employing Nikon 20X Plan Apo Lambda objective. To obtain 3D information images in both modes were acquired as Z-stacks with 0.3 µm and 0.7 µm for confocal and widefield modes respectively. Confocal z-stack was Nyquist sampled. The excitation wavelength was 405 nm and the emission was 452 nm. Using these settings, we obtained individual stacks for both modalities, with each stack covering 2048 by 2048 pixels or 699 by 699 µm. References Yakimovich, Artur, et al. "Plaque2. 0—a high-throughput analysis framework to score virus-cell transmission and clonal cell expansion." PloS one 10.9 (2015): e0138760. Alink, Mark S. Oude, et al. "Lowering the SNR wall for energy detection using cross-correlation." IEEE transactions on vehicular technology 60.8 (2011): 3748-3757. Li, Rui, et al. "Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model." arXiv preprint arXiv:2306.02929 (2023). https://rodare.hzdr.de/record/2668 10.14278/rodare.2668 oai:rodare.hzdr.de:2668 eng arxiv:arXiv:2306.02929 url:https://www.hzdr.de/publications/Publ-37066 doi:10.48550/arXiv.2306.02929 url:https://www.hzdr.de/publications/Publ-38497 url:https://www.hzdr.de/publications/Publ-37066 doi:10.14278/rodare.2667 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode fluorescence microscopy widefield confocal corelative microscopy Correlated Widefield-confocal Microscopy Dataset info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2 2022-12-01T13:50:07Z user-rodare user-fwc

Frust, Tobias 2018-02-28 RODARE (Rossendorf Data Repository) is the institutional data repository at Helmholtz-Zentrum Dresden-Rossendorf. The initial logos of the platform are collected in this upload and are available as Open Access. If you wish to use the logo elsewhere it would be nice if you let us know. https://rodare.hzdr.de/record/2 10.14278/rodare.2 oai:rodare.hzdr.de:2 url:https://www.hzdr.de/publications/Publ-27151 doi:10.14278/rodare.1 url:https://rodare.hzdr.de/communities/fwc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode RODARE Logos info:eu-repo/semantics/other image-other

oai:rodare.hzdr.de:3420 2025-05-06T09:07:13Z software user-hzdr user-rodare user-casus

Wicaksono, Damar Canggih Hecht, Michael 2025-01-21 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). v0.6.0 is a minor release that further expands the library of available UQ test functions and introduces several bug fixes. This update introduces 19 new test functions, bringing the total to 75. See the complete CHANGELOG. 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/3420 10.14278/rodare.3420 oai:rodare.hzdr.de:3420 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:3633 2025-03-21T12:26:50Z openaire_data user-casus user-rodare

García-Andrade, AB Colombo, EH Calabrese, JM 2025-02-27 The two folders contain the networks at high resolution (HQ) and at a coarser resolution (HS07). Both datasets contain networks from 10 to 1000 nodes approximatly. HQ contains smaller rivers while HS07 contains the major and most relevant rivers. https://rodare.hzdr.de/record/3633 10.14278/rodare.3633 oai:rodare.hzdr.de:3633 url:https://www.hzdr.de/publications/Publ-41044 doi:10.14278/rodare.3586 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode river networks Real-world and OCN river networks info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1704 2022-06-17T12:43:32Z user-rodare

Röhrborn, Sebastian Jüstel, Peter Galindo, Vladimir Gundrum, Thomas Schindler, Felix Stefani, Frank Stepanov, Rodion Vogt, Tobias 2022-06-16 Relevante Simulationsdaten + Bilder https://rodare.hzdr.de/record/1704 10.14278/rodare.1704 oai:rodare.hzdr.de:1704 url:https://www.hzdr.de/publications/Publ-34071 url:https://www.hzdr.de/publications/Publ-34793 doi:10.14278/rodare.1703 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Magnetohydrodynamics Rayleigh-Bénard convection liquid metal flow electromagnetic forcing CFD Data publication: Analyzing a modulated electromagnetic m=2 forcing and its capability to synchronize the Large Scale Circulation in a Rayleigh-Bénard cell of aspect ratio Г = 1 info:eu-repo/semantics/other image-other

oai:rodare.hzdr.de:28 2024-01-10T11:45:52Z software user-ecfunded user-rodare

Koller, Fabian Huebl, Axel 2018-06-07 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/28 10.14278/rodare.28 oai:rodare.hzdr.de:28 eng info:eu-repo/grantAgreement/EC/H2020/654220/ url:https://github.com/openPMD/openPMD-api/tree/0.1.1-alpha doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openpmd open science hdf5 adios data mpi hpc research file-format file-handling open data C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:60 2024-01-10T11:45:53Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Poeschel, Franz Koller, Fabian Huebl, Axel 2018-09-24 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/60 10.14278/rodare.60 oai:rodare.hzdr.de:60 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:77 2024-01-10T11:45:54Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Donnelly, Ray Koller, Fabian Poeschel, Franz Huebl, Axel 2019-01-23 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/77 10.14278/rodare.77 oai:rodare.hzdr.de:77 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:207 2024-01-10T11:45:54Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Donnelly, Ray Amundson, James Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Koller, Fabian Pöschel, Franz Hübl, Axel 2019-11-15 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/207 10.14278/rodare.207 oai:rodare.hzdr.de:207 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://github.com/openPMD/openPMD-api/tree/0.10.1-alpha doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:506 2024-01-10T11:45:55Z software software software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Koller, Fabian Poeschel, Franz Gu, Junmin Huebl, Axel 2020-09-08 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. https://rodare.hzdr.de/record/506 10.14278/rodare.506 oai:rodare.hzdr.de:506 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2098 2023-01-27T09:31:27Z user-ecfunded user-rodare

Biancalana, Lorenzo Kubeil, Manja Schoch, Silvia Zacchini, Stefano Marchetti, Fabio 2023-01-25 decarbonylation studies By IR, NMR, UV/vis myoglobin assay cell proliferation assay cristallographic data available by collaboration partner https://rodare.hzdr.de/record/2098 10.14278/rodare.2098 oai:rodare.hzdr.de:2098 info:eu-repo/grantAgreement/EC/FP7/627113/ doi:10.1021/acs.inorgchem.2c00504 url:https://www.hzdr.de/publications/Publ-34752 url:https://www.hzdr.de/publications/Publ-34751 doi:10.14278/rodare.2097 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess PhotoCORM Carbon Monoxide Bioorganometallic Chemistry Diiron complexes Photoactivation Cytotoxicity Aminocarbyne Ligand Vinyliminium Ligand PTA water solubility Data publication: Switching on Cytotoxicity of Water-Soluble Diiron Organometallics by UV Irradiation info:eu-repo/semantics/other image-figure

oai:rodare.hzdr.de:558 2025-07-18T10:19:40Z openaire_data user-ecfunded user-health user-rodare

Müller, Johannes Suckert, Theresa Beyreuther, Elke Schneider, Moritz Boucsein, Marc Bodenstein, Elisabeth Stolz-Kieslich, Liane Krause, Mechthild von Neubeck, Cläre Haase, Robert Lühr, Armin Dietrich, Antje 2021-01-20 The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations. https://rodare.hzdr.de/record/558 10.14278/rodare.558 oai:rodare.hzdr.de:558 eng info:eu-repo/grantAgreement/EC/H2020/730983/ url:https://www.hzdr.de/publications/Publ-32124 doi:10.14278/rodare.557 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Preclinical Image fusion Proton radiation Medical imaging Histology Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D. info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:791 2025-07-18T10:19:40Z openaire_data user-ecfunded user-health user-rodare

Müller, Johannes Suckert, Theresa Beyreuther, Elke Schneider, Moritz Boucsein, Marc Bodenstein, Elisabeth Stolz-Kieslich, Liane Krause, Mechthild von Neubeck, Cläre Haase, Robert Lühr, Armin Dietrich, Antje 2021-01-20 The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations. https://rodare.hzdr.de/record/791 10.14278/rodare.791 oai:rodare.hzdr.de:791 eng info:eu-repo/grantAgreement/EC/H2020/730983/ url:https://www.hzdr.de/publications/Publ-32124 doi:10.14278/rodare.557 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Preclinical Image fusion Proton radiation Medical imaging Histology Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D. info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:810 2025-07-18T10:19:41Z openaire_data user-ecfunded user-health user-rodare

Müller, Johannes Suckert, Theresa Beyreuther, Elke Schneider, Moritz Boucsein, Marc Bodenstein, Elisabeth Stolz-Kieslich, Liane Krause, Mechthild von Neubeck, Cläre Haase, Robert Lühr, Armin Dietrich, Antje 2021-01-20 The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations. https://rodare.hzdr.de/record/810 10.14278/rodare.810 oai:rodare.hzdr.de:810 eng info:eu-repo/grantAgreement/EC/H2020/730983/ url:https://www.hzdr.de/publications/Publ-32124 doi:10.14278/rodare.557 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Preclinical Image fusion Proton radiation Medical imaging Histology Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D. info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1471 2023-11-20T12:40:40Z software user-energy user-fwd user-hzdr user-rodare

Hessenkemper, Hendrik Starke, Sebastian Atassi, Yazan Ziegenhein, Thomas Lucas, Dirk 2022-03-07 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/1471 10.14278/rodare.1471 oai:rodare.hzdr.de:1471 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:2426 2023-10-11T07:02:17Z openaire_data user-rodare user-energy

Lecrivain, Gregory Lecrivain, Gregory 2023-08-06 #Folder "Adhesion": Contains all raw data related to the adhesion force measurement. To plot the figure, run python3. plot.py #Folder "SEM": each subfolder S1, S2 and S3 contains further high-resolution pictures taken with the SEM #Folder "WindChannel": Contains all raw data related to the resuspensiob experiment performed in the winf channel. More Info in Windchannel/Readme.txt https://rodare.hzdr.de/record/2426 10.14278/rodare.2426 oai:rodare.hzdr.de:2426 eng url:https://www.hzdr.de/publications/Publ-37363 url:https://www.hzdr.de/publications/Publ-37161 doi:10.14278/rodare.2425 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Particle resuspension Turbulent gas flow Aerosol transport Raw data related to publication "Influence of engineered roughness microstructures on adhesion and turbulent resuspension of microparticles" by Banari et al. (2023) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2884 2025-12-03T15:20:58Z openaire_data user-hibef user-rodare

Heuser, Benjamin Bergermann, Armin Stevenson, Michael G. Ranjan, Divyanshu He, Zhiyu Lütgert, Julian Schumacher, Samuel Bethkenhagen, Mandy Descamps, Adrien Galtier, Eric Gleason, Arianna E. Khaghani, Dimitri Glenn, Griffin D. Cunningham, Eric F. Glenzer, Siegfried H. Hartley, Nicholas J. Hernandez, Jean-Alexis Humphries, Oliver S. Katagiri, Kento Ja Lee, Hae McBride, Emma E. Miyanishi, Kohei Nagler, Bob Ofori-Okai, Benjamin Ozaki, Norimasa Pandolfi, Silvia Qu, Chongbing Thomas May, Philipp Redmer, Ronald Schönwälder, Christopher Sueda, Keiichi Yabuuchi, Toshinori Yabashi, Makina Lukic, Bratislav Rack, Alexander Zinta, Lisa M. V. Vinci, Tommaso Benuzzi-Mounaix, Alessandra Ravasio, Alessandra Kraus, Dominik 2024-05-22 This dataset was recorded at European XFEL and Spring8 / SACLA from shock compressed PET. The analysis is described in the associated paper. https://rodare.hzdr.de/record/2884 10.14278/rodare.2884 oai:rodare.hzdr.de:2884 url:https://www.hzdr.de/publications/Publ-39127 doi:10.14278/rodare.2883 url:https://rodare.hzdr.de/communities/hibef url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode XRD Nanodiamond FEL shock compression XRD diffraction data for shock compressed Polyethylenterephthalat (PET) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3812 2025-12-02T08:59:11Z user-hzdr user-rodare

Middleton, Maarit Pospiech, Solveig 2025-06-17 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/3812 10.14278/rodare.3812 oai:rodare.hzdr.de:3812 eng doi:10.3030/776804 url:https://www.hzdr.de/publications/Publ-41483 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:4062 2025-12-02T08:59:11Z user-rodare user-hzdr

Middleton, Maarit Pospiech, Solveig 2025-11-02 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/4062 10.14278/rodare.4062 oai:rodare.hzdr.de:4062 eng doi:10.3030/776804 url:https://www.hzdr.de/publications/Publ-41483 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:919 2021-11-04T08:28:49Z openaire_data user-rodare

Da Assuncao Godinho, Jose Ricardo 2021-04-08 3D image, experiment 2 https://rodare.hzdr.de/record/919 10.14278/rodare.919 oai:rodare.hzdr.de:919 url:https://www.hzdr.de/publications/Publ-31296 url:https://www.hzdr.de/publications/Publ-32534 doi:10.14278/rodare.918 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode 3D CT image info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4592 2026-04-09T11:22:07Z openaire_data user-fwi user-ibc user-rodare

Lokamani, Mani Bihlmayer, Gustav Michalicek, Gregor Wortmann, Daniel Blügel, Stefan Friedrich, Rico 2026-04-09 This dataset includes the primary research data for the publication "Towards Non-van der Waals 2D Topological Insulators" https://rodare.hzdr.de/record/4592 10.14278/rodare.4592 oai:rodare.hzdr.de:4592 eng doi:10.17815/jlsrf-3-159 url:https://www.hzdr.de/publications/Publ-43232 url:https://www.hzdr.de/publications/Publ-43233 doi:10.14278/rodare.4591 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: Towards Non-van der Waals 2D Topological Insulators info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:236 2020-10-30T13:57:32Z openaire_data user-fwd user-rodare

Unger, Sebastian Krepper, Eckhard Beyer, Matthias Hampel, Uwe 2020-01-24 This is the data set for the corresponding journal publication " Numerical optimization of a finned tube bundle heat exchanger arrangement for passive spent fuel pool cooling to ambient air". https://rodare.hzdr.de/record/236 10.14278/rodare.236 oai:rodare.hzdr.de:236 url:https://www.hzdr.de/publications/Publ-30638 url:https://www.hzdr.de/publications/Publ-29116 doi:10.14278/rodare.235 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Numerical optimization of a finned tube bundle heat exchanger arrangement for passive spent fuel pool cooling to ambient air info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2345 2023-07-06T07:51:35Z openaire_data user-rodare

Körber, Lukas Heins, Christopher Hula, Tobias Kim, Joo-Von Thlang, Sonia Schultheiß, Helmut Schultheiß, Katrin 2023-06-26 This data publication contains the data for our publication "Pattern recognition in reciprocal space with a magnon-scattering reservoir" published in Nature Communications. The dataset is structured in folders corresponding to the different figures in the paper. Folder Fig2 and Fig2 contain the experimental data measured with Brillouin-light-scattering microscopy. The files contain the data integrated for the measurement positions described in the methods section in a csv format. Forlder Fig4 contains the evaluated numerical data presented in the corresponding figure. The raw data generated with micromagnetic simulations is too large for this dataset and is available upon request by the authors. https://rodare.hzdr.de/record/2345 10.14278/rodare.2345 oai:rodare.hzdr.de:2345 url:https://www.hzdr.de/publications/Publ-37152 url:https://www.hzdr.de/publications/Publ-34945 doi:10.14278/rodare.2344 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode spin wave magnon vortex Brillouin-light scattering BLS reservoir computing neuromorphic computing nonlinear three-magnon scattering micromagnetic simulations Data publication: Pattern recognition in reciprocal space with a magnon-scattering reservoir info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1480 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 Bilde, Kasper Gram Draw, Mazen Evdokimov, Ilya Hänsch, Susann Khan, Harris Krull, Benjamin Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gašper Tekavčič, Matej 2022-03-14 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 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/1480 10.14278/rodare.1480 oai:rodare.hzdr.de:1480 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:2185 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, Lisong 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, Gasper Kota, Sesi Preetam Tekavcic, Matej 2023-03-21 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).Highlights of the provided addon are:HZDR Baseline Model: addonMultiphaseEulerFoam 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): cipsaMultiphaseEulerFoam solver featuring a morphology-adaptive 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 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/2185 10.14278/rodare.2185 oai:rodare.hzdr.de:2185 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-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 HZDR Multiphase Addon for OpenFOAM info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2321 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 2023-06-06 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/2321 10.14278/rodare.2321 oai:rodare.hzdr.de:2321 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:4050 2025-12-19T07:35:42Z software user-energy user-fwd user-hzdr user-openfoam user-rodare

Colombo, Marco Couteau, Arthur Haßlberger, Josef Kriebitzsch, Sebastian Parekh, Jigar Kumaresh, Pramodh Wang, Chih-Ta Wang, Lisong Zhang, Tingting Pilaka, Satya Sai Phani Santosh Schlegel, Fabian Bilde, Kasper Gram Draw, Mazen Evdokimov, Ilya Hänsch, Susann Kamble, Vikrant Vinayak Khan, Haris Kota, Sesi Preetam Krull, Benjamin Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gasper Riviera, Elena Tekavcic, Matej Varallo, Nicolo 2025-10-21 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/4050 10.14278/rodare.4050 oai:rodare.hzdr.de:4050 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:4195 2025-12-19T07:35:43Z software user-energy user-fwd user-hzdr user-openfoam user-rodare

Colombo, Marco Couteau, Arthur Haßlberger, Josef Kriebitzsch, Sebastian Parekh, Jigar Kumaresh, Pramodh Wang, Chih-Ta Wang, Lisong Zhang, Tingting Pilaka, Satya Sai Phani Santosh Schlegel, Fabian Bilde, Kasper Gram Draw, Mazen Evdokimov, Ilya Hänsch, Susann Kamble, Vikrant Vinayak Khan, Haris Kota, Sesi Preetam Krull, Benjamin Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gasper Riviera, Elena Tekavcic, Matej Varallo, Nicolo 2025-12-16 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).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/4195 10.14278/rodare.4195 oai:rodare.hzdr.de:4195 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:255 2024-07-18T06:56:26Z openaire_data user-health user-rodare

Starke, Sebastian Leger, Stefan Zwanenburg, Alex Leger, Karoline Lohaus, Fabian Linge, Annett Schreiber, Andreas Kalinauskaite, Goda Tinhofer, Inge Guberina, Nika Guberina, Maja Balermpas, Panagiotis Grün, Jens von der Ganswindt, Ute Belka, Claus Peeken, Jan C. Combs, Stephanie E. Böke, Simon Zips, Daniel Richter, Christian Troost, Esther Gera Cornelia Krause, Mechthild Baumann, Michael Löck, Steffen 2020-02-27 These are the results from the analyses presented in a paper submitted to Scientific Reports. The zip file contains the trained model files and the plots that were used in the manuscript. Code for reproduction of our analyses can be obtained from https://github.com/oncoray/cnn-hnscc. There, you also find instructions on how to load our models. https://rodare.hzdr.de/record/255 10.14278/rodare.255 oai:rodare.hzdr.de:255 doi:10.1038/s41598-020-70542-9 url:https://www.hzdr.de/publications/Publ-30759 url:https://www.hzdr.de/publications/Publ-30750 url:https://www.hzdr.de/publications/Publ-39339 doi:10.14278/rodare.254 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/legalcode convolutional neural networks Keras Deep learning head and neck cancer loco-regional-recurrence Cox proportional hazards 2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3810 2025-06-27T09:18:30Z 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 user-rodare

Guo, Huixin Lenz, Kilian Gołębiewski, Mateusz Narkovic, Rysard Lindner, Jürgen Krawczyk, Maciej Grundler, Dirk 2025-06-17 Raw Data, Data analysis, Figures for Publication https://rodare.hzdr.de/record/3810 10.14278/rodare.3810 oai:rodare.hzdr.de:3810 url:https://www.hzdr.de/publications/Publ-41481 url:https://www.hzdr.de/publications/Publ-41462 doi:10.14278/rodare.3809 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess magnonics magnonic crystals ferromagnetic resonance spin waves nanostructures 3d-printing micromagnetic simulations comsol Data publication: Coherent Spin Waves in Curved Ferromagnetic Nanocaps of a 3D-printed Magnonic Crystal info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3164 2026-04-23T11:05:32Z software user-rodare

Schlegel, Fabian Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2024-09-27 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/3164 10.14278/rodare.3164 oai:rodare.hzdr.de:3164 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3181 2026-04-23T11:05:33Z software user-rodare

Schlegel, Fabian Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2024-10-02 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/3181 10.14278/rodare.3181 oai:rodare.hzdr.de:3181 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3398 2026-04-23T11:05:33Z software user-rodare

Schlegel, Fabian Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2025-01-10 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/3398 10.14278/rodare.3398 oai:rodare.hzdr.de:3398 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3766 2026-04-23T11:05:34Z software software software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2025-05-22 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/3766 10.14278/rodare.3766 oai:rodare.hzdr.de:3766 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3767 2026-04-23T11:05:34Z software software software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2025-05-22 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/3767 10.14278/rodare.3767 oai:rodare.hzdr.de:3767 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3769 2026-04-23T11:05:34Z software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2025-05-26 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/3769 10.14278/rodare.3769 oai:rodare.hzdr.de:3769 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3845 2026-04-23T11:05:35Z software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2025-05-26 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/3845 10.14278/rodare.3845 oai:rodare.hzdr.de:3845 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3861 2026-04-23T11:05:35Z software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2025-07-08 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/3861 10.14278/rodare.3861 oai:rodare.hzdr.de:3861 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3926 2026-04-23T11:05:35Z software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2025-08-12 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/3926 10.14278/rodare.3926 oai:rodare.hzdr.de:3926 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4067 2026-04-23T11:05:35Z software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2025-11-04 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/4067 10.14278/rodare.4067 oai:rodare.hzdr.de:4067 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4359 2026-04-23T11:05:36Z software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2026-01-09 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and setups for the open-source software released by the OpenFOAM Foundation. This includes, among other things, utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/4359 10.14278/rodare.4359 oai:rodare.hzdr.de:4359 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4372 2026-04-23T11:05:36Z software software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2026-01-13 The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and setups for the open-source software released by the OpenFOAM Foundation. This includes, among other things, utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and development environment in a self-hosted Gitlab instance. https://rodare.hzdr.de/record/4372 10.14278/rodare.4372 oai:rodare.hzdr.de:4372 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4573 2026-04-23T11:05:37Z software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2026-03-24 The multiphasepy package is a Python toolkit for building, running, and maintaining CFD simulation case collections for the software released by the OpenFOAM Foundation (but also others, like Ansys Fluent or Siemens Simcenter Star-CCM). It combines reusable library modules with practical command-line tools to cover the full simulation lifecycle: case templating, batch execution, monitoring, post-processing, validation support, repository comparison, and publication workflows. At its core, multiphasepy helps teams move from individual case setups to scalable, structured projects containing a large collection of setups, e.g. a validation database. Cases can be provided as templates that are parameterized at runtime, metadata can be managed in a machine-readable way and cases can be conveniently batch-processed with the workflow management tool Snakemake both on workstations and Slurm-based HPC systems. Using a container-based software environment (e.g. Apptainer or Docker) the case collection becomes fully portable. An integrated Copier template allows the creation and maintenance of multiple independent case collections. Beyond execution, the package supports quality assurance and communication of results: tools are included for automated checks, fuzzy-logic based evaluation, data conversion, visualization, and generation of artifacts suitable for reporting and dissemination. This makes multiphasepy a practical bridge between day-to-day CFD case work and long-term, reproducible research software operations in collaborative environments. Command-Line Tools The multiphasepy package provides a comprehensive suite of command-line tools for CFD workflow management, data processing, and quality assurance. All tools follow the naming convention mpy<function> and provide --help for detailed usage information. Workflow Management mpycopy : Copy and render templated cases mpydocker : Launch customizable Docker development environments mpywatch : Progress display and real-time data visualization mpyworkflow : Create and manage cases projects allowing batch processing Data Processing mpyconv : Convert data files between formats mpypost : Mathematical post-processing operations mpyvisualize : Visualize simulation result files Quality Assurance mpytest : Run CFD code functionality tests mpyfuzzy : Evaluate simulation goodness using fuzzy logic mpyhooks : Run git hooks for code quality checks Utilities mpyidentify : Identify file types and associate tags mpyrpcmp : Compare two repositories (file-based) mpyrpdiff : Compare repositories using git diff mpyshrun : Wrap shell commands with logging Publishing mpypublish : Publish software to Rodare repository Installation The multiphasepy package requires Python 3.12 or newer. Install the latest release from PyPI: pip install -i https://test.pypi.org/simple/ multiphasepy For full environment setup and platform-specific notes, see the installation guide in the documentation. How to cite us? If you find that package useful, please cite as Schlegel et al. (2026). Multiphase Python Repository by HZDR. Rodare. <https://doi.org/10.14278/rodare.3093>. Acknowledgements OpenFOAM® is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM® software via www.openfoam.com. The Multiphase Python Repository by HZDR is not compatible with the software released by OpenCFD Limited, but is developed for the software released by the OpenFOAM Foundation via www.openfoam.org. https://rodare.hzdr.de/record/4573 10.14278/rodare.4573 oai:rodare.hzdr.de:4573 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4576 2026-04-23T11:05:37Z software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2026-03-25 The multiphasepy package is a Python toolkit for building, running, and maintaining CFD simulation case collections for the software released by the OpenFOAM Foundation (but also others, like Ansys Fluent or Siemens Simcenter Star-CCM). It combines reusable library modules with practical command-line tools to cover the full simulation lifecycle: case templating, batch execution, monitoring, post-processing, validation support, repository comparison, and publication workflows. At its core, multiphasepy helps teams move from individual case setups to scalable, structured projects containing a large collection of setups, e.g. a validation database. Cases can be provided as templates that are parameterized at runtime, metadata can be managed in a machine-readable way and cases can be conveniently batch-processed with the workflow management tool Snakemake both on workstations and Slurm-based HPC systems. Using a container-based software environment (e.g. Apptainer or Docker) the case collection becomes fully portable. An integrated Copier template allows the creation and maintenance of multiple independent case collections. Beyond execution, the package supports quality assurance and communication of results: tools are included for automated checks, fuzzy-logic based evaluation, data conversion, visualization, and generation of artifacts suitable for reporting and dissemination. This makes multiphasepy a practical bridge between day-to-day CFD case work and long-term, reproducible research software operations in collaborative environments. Command-Line Tools The multiphasepy package provides a comprehensive suite of command-line tools for CFD workflow management, data processing, and quality assurance. All tools follow the naming convention mpy<function> and provide --help for detailed usage information. Workflow Management mpycopy : Copy and render templated cases mpydocker : Launch customizable Docker development environments mpywatch : Progress display and real-time data visualization mpyworkflow : Create and manage cases projects allowing batch processing Data Processing mpyconv : Convert data files between formats mpypost : Mathematical post-processing operations mpyvisualize : Visualize simulation result files Quality Assurance mpytest : Run CFD code functionality tests mpyfuzzy : Evaluate simulation goodness using fuzzy logic mpyhooks : Run git hooks for code quality checks Utilities mpyidentify : Identify file types and associate tags mpyrpcmp : Compare two repositories (file-based) mpyrpdiff : Compare repositories using git diff mpyshrun : Wrap shell commands with logging Publishing mpypublish : Publish software to Rodare repository Installation The multiphasepy package requires Python 3.12 or newer. Install the latest release from PyPI: pip install -i https://test.pypi.org/simple/ multiphasepy For full environment setup and platform-specific notes, see the installation guide in the documentation. How to cite us? If you find that package useful, please cite as Schlegel et al. (2026). Multiphase Python Repository by HZDR. Rodare. <https://doi.org/10.14278/rodare.3093>. Acknowledgements OpenFOAM® is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM® software via www.openfoam.com. The Multiphase Python Repository by HZDR is not compatible with the software released by OpenCFD Limited, but is developed for the software released by the OpenFOAM Foundation via www.openfoam.org. https://rodare.hzdr.de/record/4576 10.14278/rodare.4576 oai:rodare.hzdr.de:4576 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4588 2026-04-23T11:05:38Z software user-rodare

Schlegel, Fabian Fombonne, Clement Hänsch, Susann Krull, Benjamin Lehnigk, Ronald Meller, Richard 2026-04-07 The multiphasepy package is a Python toolkit for building, running, and maintaining CFD simulation case collections for the software released by the OpenFOAM Foundation (but also others, like Ansys Fluent or Siemens Simcenter Star-CCM). It combines reusable library modules with practical command-line tools to cover the full simulation lifecycle: case templating, batch execution, monitoring, post-processing, validation support, repository comparison, and publication workflows. At its core, multiphasepy helps teams move from individual case setups to scalable, structured projects containing a large collection of setups, e.g. a validation database. Cases can be provided as templates that are parameterized at runtime, metadata can be managed in a machine-readable way and cases can be conveniently batch-processed with the workflow management tool Snakemake both on workstations and Slurm-based HPC systems. Using a container-based software environment (e.g. Apptainer or Docker) the case collection becomes fully portable. An integrated Copier template allows the creation and maintenance of multiple independent case collections. Beyond execution, the package supports quality assurance and communication of results: tools are included for automated checks, fuzzy-logic based evaluation, data conversion, visualization, and generation of artifacts suitable for reporting and dissemination. This makes multiphasepy a practical bridge between day-to-day CFD case work and long-term, reproducible research software operations in collaborative environments. Command-Line Tools The multiphasepy package provides a comprehensive suite of command-line tools for CFD workflow management, data processing, and quality assurance. All tools follow the naming convention mpy<function> and provide --help for detailed usage information. Workflow Management mpycopy : Copy and render templated cases mpydocker : Launch customizable Docker development environments mpywatch : Progress display and real-time data visualization mpyworkflow : Create and manage cases projects allowing batch processing Data Processing mpyconv : Convert data files between formats mpypost : Mathematical post-processing operations mpyvisualize : Visualize simulation result files Quality Assurance mpytest : Run CFD code functionality tests mpyfuzzy : Evaluate simulation goodness using fuzzy logic mpyhooks : Run git hooks for code quality checks Utilities mpyidentify : Identify file types and associate tags mpyrpcmp : Compare two repositories (file-based) mpyrpdiff : Compare repositories using git diff mpyshrun : Wrap shell commands with logging Publishing mpypublish : Publish software to Rodare repository Installation The multiphasepy package requires Python 3.12 or newer. Install the latest release from PyPI: pip install -i https://test.pypi.org/simple/ multiphasepy For full environment setup and platform-specific notes, see the installation guide in the documentation. How to cite us? If you find that package useful, please cite as Schlegel et al. (2026). Multiphase Python Repository by HZDR. Rodare. <https://doi.org/10.14278/rodare.3093>. Acknowledgements OpenFOAM® is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM® software via www.openfoam.com. The Multiphase Python Repository by HZDR is not compatible with the software released by OpenCFD Limited, but is developed for the software released by the OpenFOAM Foundation via www.openfoam.org. https://rodare.hzdr.de/record/4588 10.14278/rodare.4588 oai:rodare.hzdr.de:4588 eng url:https://www.hzdr.de/publications/Publ-39434 doi:10.14278/rodare.3093 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Python Numerical Simulations Post-Processing Gitlab Multiphase Python Repository by HZDR info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1925 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 Krull, Benjamin Lehnigk, Ronald Liao, Yixiang Lyu, Hongmei Meller, Richard Schlegel, Fabian Tekavčič, Matej 2022-10-28 HZDR Multiphase Case Collection for OpenFOAM contains simulation setups for the open-source CFD software OpenFOAM extended by the HZDR Multiphase Addon for OpenFOAM. The simulation setups are separated into mono- and polydisperse bubbly flows utilising the HZDR Baseline model set, setups for a hybrid modelling approach (disperse and resolved interfaces) and miscellaneous cases. This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)". https://rodare.hzdr.de/record/1925 10.14278/rodare.1925 oai:rodare.hzdr.de:1925 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-32161 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32356 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 Computational Fluid Dynamics Baseline model Multi-field two-fluid model Partial elimination algorithm Free Surface Euler-Euler Method Shell Python Gnuplot C++ HZDR Multiphase Case Collection for OpenFOAM info:eu-repo/semantics/other software

oai:rodare.hzdr.de:138 2024-08-14T11:26:45Z openaire_data user-hzdr user-fwd user-rodare user-topflow

Neumann-Kipping, Martin Hampel, Uwe Bieberle, André Neumann-Kipping, Martin Hampel, Uwe 2019-08-01 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 DN50 pipe to create a generic three-dimensional flow field as an advanced test case for CFD codes. UFXRAY CT scans were performed in dual-imaging mode and 9 imaging planes for 15 s with a temporal resolution of 1.0 kHz and 2.5 kHz to provide valuable data of the gas phase dynamics. The provided data set contains tomographic image data for the experimental series L30 that uses a semi-circular flow constriction with a blockage ratio of 0.5. Here, all image stacks for a given operating point are stored in a single HDF5 file with a spatial resolution of 0.5 mm/pixel (Images are stacked as time series). Further attributes (e.g. reconstruction parameters) are available for each image stack and are accessible e.g. using Matlab or Octave. The relative distance of the each respective scanning position is defined in an additional info.txt. 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/138 10.14278/rodare.138 oai:rodare.hzdr.de:138 eng doi:10.14278/rodare.122 doi:10.14278/rodare.195 doi:10.14278/rodare.124 doi:10.14278/rodare.139 doi:10.14278/rodare.197 url:https://www.hzdr.de/publications/Publ-29885 doi:10.14278/rodare.137 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 tomographic image data Ultrafast X-ray tomography image data of bubbly two-phase pipe flow around a semi-circular constriction info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:385 2020-10-30T11:58:42Z user-matter user-hzdr user-rodare

Baraban, Larysa 2020-06-29 6 supplementary videos https://rodare.hzdr.de/record/385 10.14278/rodare.385 oai:rodare.hzdr.de:385 url:https://www.hzdr.de/publications/Publ-31268 url:https://www.hzdr.de/publications/Publ-31267 doi:10.14278/rodare.384 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 Supplementary Video sets for the publication info:eu-repo/semantics/other video

oai:rodare.hzdr.de:3149 2025-02-11T15:16:28Z openaire_data user-rodare

Gündel, Daniel Teodoro, Rodrigo Ludwig, Friedrich-Alexander Heerklotz, Anne Toussaint, Magali Deuther-Conrad, Winnie Bormans, Guy Brust, Peter Kopka, Klaus Moldovan, Rares-Petru 2024-09-18 What is already known • Increased expression of the CB2R in the brain is linked to certain neuropathological diseases. • First clinical trials for CB2R-directed therapies are conducted. What this study adds • [18F]JHU94620-d8 provides the potential to quantify the CB2R receptor density in the brain by positron-emission-tomography. Clinical significance • Stratification of patients for CB2R-directed therapies and follow up of the treatment response is needed. https://rodare.hzdr.de/record/3149 10.14278/rodare.3149 oai:rodare.hzdr.de:3149 doi:10.1186/s41181-024-00319-2 url:https://www.hzdr.de/publications/Publ-39600 url:https://www.hzdr.de/publications/Publ-39547 doi:10.14278/rodare.3148 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: Development and Evaluation of Deuterated [18F]JHU94620 Isotopologues for the Non-invasive Assessment of the Cannabinoid type 2 Receptor in Brain info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3751 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 user-rodare

Fiedler, Lenz Cangi, Attila Brzoza, Bartosz Kotik, Daniel 2025-05-16 This repository contains data to test, develop and debug MALA and MALA based runscripts. If you plan to do machine-learning tests ("Does this network implementation work? Is this new data loading strategy working?"), this is the right data to test with. It is NOT production level data! https://rodare.hzdr.de/record/3751 10.14278/rodare.3751 oai:rodare.hzdr.de:3751 url:https://github.com/mala-project/test-data/tree/1.8.0 url:https://github.com/mala-project/test-data/tree/1.8.1 url:https://github.com/mala-project/test-data/tree/1.8.2 url:https://github.com/mala-project/test-data/tree/1.8.3 url:https://github.com/mala-project/test-data/tree/1.9.0 url:https://github.com/mala-project/test-data/tree/2.0.0 url:https://github.com/mala-project/test-data/tree/v1.7.4 url:https://github.com/mala-project/test-data/tree/v1.7.8 url:https://www.hzdr.de/publications/Publ-39162 doi:10.14278/rodare.2900 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/BSD-3-Clause Machine Learning Test data for MALA info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3702 2026-04-10T00:02:00Z 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 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 openaire_data openaire_data openaire_data 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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 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 user-elbe user-rodare user-superconducting-electron-linear-accelerator-elbe

Zenker, Klaus Kuntzsch, Michael Hoffmann, Matthias Schmidt, Christian Szczepanski, Bartlomiej 2025-04-05 This data was collected during ELBE AP #25103679: Continue Application Tests of the Carrier-Suppression-Interferometer (CSI) in CW-mode at ELBE to improve the Low-Level RF System Performance https://rodare.hzdr.de/record/3702 10.14278/rodare.3702 oai:rodare.hzdr.de:3702 doi:10.17815/jlsrf-2-58 url:https://www.hzdr.de/publications/Publ-41215 doi:10.14278/rodare.3701 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/superconducting-electron-linear-accelerator-elbe info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode LLRF BAM Data publication: Beam arrival time data and LLRF performace data measured during Carrier-Suppression-Interferometer (CSI) test info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1807 2022-07-13T12:12:16Z openaire_data user-rodare

Dornheim, Tobias Böhme, Maximilian Moldabekov, Zhandos 2022-07-13 This repository contains the PIMC raw data for the static electronic density response of warm dense hydrogen. Units etc are the same as in the figures in the main text / supplemental material. https://rodare.hzdr.de/record/1807 10.14278/rodare.1807 oai:rodare.hzdr.de:1807 url:https://www.hzdr.de/publications/Publ-34419 url:https://www.hzdr.de/publications/Publ-34919 doi:10.14278/rodare.1806 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: Electronic Density Response of Warm Dense Hydrogen: Ab initio Path Integral Monte Carlo Simulations info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:287 2023-01-23T10:00:26Z software user-rodare user-energy user-fwd user-hzdr

Meller, Richard Schlegel, Fabian Lucas, Dirk 2020-04-06 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 strong phase coupling resolved by partial elimination algorithm 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 This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)". https://rodare.hzdr.de/record/287 10.14278/rodare.287 oai:rodare.hzdr.de:287 eng url:https://www.hzdr.de/publications/Publ-30885 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 Numerical framework for a morphology adaptive multi-field two-fluid model in OpenFOAM info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2989 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 2024-06-03 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/2989 10.14278/rodare.2989 oai:rodare.hzdr.de:2989 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/openAccess https://creativecommons.org/licenses/by/4.0/legalcode 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:3016 2024-08-12T09:22:07Z openaire_data user-rodare user-fwi user-ibc

Steuer, Oliver Michailow, Michail Hübner, René Pyszniak, Krzysztof Turek, Marcin Kentsch, Ulrich Ganss, Fabian Khan, Muhammad Moazzam Rebohle, Lars Zhou, Shengqiang Knoch, Joachim Helm, Manfred Cuniberti, Gianaurelio Georgiev, Yordan Prucnal, Slawomir 2024-06-12 Bei diesem Datensatz handelt es sich um die im Paper beschriebenen µRaman, RBS und TEM Daten sowie die SRIM Simulationen https://rodare.hzdr.de/record/3016 10.14278/rodare.3016 oai:rodare.hzdr.de:3016 doi:10.17815/jlsrf-3-159 url:https://www.hzdr.de/publications/Publ-39199 url:https://www.hzdr.de/publications/Publ-39097 doi:10.14278/rodare.3015 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Implantation SiGeSn Si1-x-yGeySnx Sn FLA Flash lamp annealing Si1-x-yGeySnx alloy formation by Sn ion implantation and flash lamp annealing info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:57 2020-04-23T07:51:11Z openaire_data openaire_data user-ecfunded user-rodare

Hübl, Axel 2018-09-19 Quite outdated data but used in openPMD-api unit tests. HDF5 data contains particle patches, ADIOS1 data does not. Uploading it here for reference, as a download point and for test reproducibility. Please use the more recent example data sets from https://github.com/openPMD/openPMD-example-datasets https://rodare.hzdr.de/record/57 10.14278/rodare.57 oai:rodare.hzdr.de:57 eng info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.591699 url:https://www.hzdr.de/publications/Publ-27948 doi:10.14278/rodare.56 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode openPMD example data openPMD Example Data Sets from PIConGPU 0.2.0 info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4032 2025-12-02T12:47:48Z software user-rodare

Reinhard, Anton Hernandez Acosta, Uwe Ehrig, Simeon Bussmann, Michael 2025-10-13 Generator for QED Feynman diagrams and ComputableDAGs.jl to compute scattering processes' matrix elements. https://rodare.hzdr.de/record/4032 10.14278/rodare.4032 oai:rodare.hzdr.de:4032 url:https://github.com/QEDjl-project/QEDFeynmanDiagrams.jl/tree/v0.1.0 url:https://github.com/QEDjl-project/QEDFeynmanDiagrams.jl/tree/v0.1.1 url:https://www.hzdr.de/publications/Publ-41226 doi:10.14278/rodare.3712 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/MIT particle physics HPC QED Feynman diagrams julia QEDFeynmanDiagrams.jl info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4150 2025-12-02T12:47:48Z software software user-rodare

Reinhard, Anton Hernandez Acosta, Uwe Ehrig, Simeon Bussmann, Michael 2025-11-25 Generator for QED Feynman diagrams and ComputableDAGs.jl to compute scattering processes' matrix elements. https://rodare.hzdr.de/record/4150 10.14278/rodare.4150 oai:rodare.hzdr.de:4150 url:https://github.com/QEDjl-project/QEDFeynmanDiagrams.jl/tree/v0.1.0 url:https://github.com/QEDjl-project/QEDFeynmanDiagrams.jl/tree/v0.1.1 url:https://github.com/QEDjl-project/QEDFeynmanDiagrams.jl/tree/v0.1.2 url:https://www.hzdr.de/publications/Publ-41226 doi:10.14278/rodare.3712 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/MIT particle physics HPC QED Feynman diagrams julia QEDFeynmanDiagrams.jl info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3218 2024-10-22T08:18:13Z openaire_data user-fwd user-hzdr user-rodare

Souza, Lucas Santos, Andre Azpurua, Hector Resende Filho, Levi Domingues, Jaco Matos, Saulo Nyarko, Samuel Melo Euzebio, Thiago Antonio Pessin, Gustavo 2024-10-22 The data contains the analysis results of the research work. https://rodare.hzdr.de/record/3218 10.14278/rodare.3218 oai:rodare.hzdr.de:3218 url:https://www.hzdr.de/publications/Publ-39738 url:https://www.hzdr.de/publications/Publ-39536 doi:10.14278/rodare.3217 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 Object Detection Instance Segmentation Deep Learning Particle Size Measurement Crushing Circuit Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size Estimation in the Primary Crusher Input info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:522 2021-11-02T19:11:14Z software user-hzdr user-rodare

Göthel, Ilja 2020-09-22 Simulations made with PIConGPU in 2d geometry with a longitudinally modified gaussian laser on a foil. The laser has been modified to reproduce the main features of the pulse shape seen in the experiments as a result of modifying TOD and GVD. The three main features, which were enabled with varying strength in the simulations: - an exponential ramp on the timescale of 300fs before the gaussian main pulse - a postpulse with around 100fs delay and around 0.2 of the total pulse energy - a skewness of the gaussian - modelled by two gaussian halves for the rising and falling part From the spectra of the accelerated protons the cutoff energy is measured. The main result is, that the variations of the spectra are much smaller than those observed in the experiments, suggesting more complex mechanisms than those modelled here. https://rodare.hzdr.de/record/522 10.14278/rodare.522 oai:rodare.hzdr.de:522 eng url:https://www.hzdr.de/publications/Publ-31548 doi:10.14278/rodare.521 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 laser particle acceleration Supplementary simulations for laser foil experiments on TOD variation info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2301 2023-05-22T07:25:01Z openaire_data user-rodare user-energy

Pfeufer, Rike Alena 2023-05-09 data sets of dynamic contact angle measurements of water onuncoated and coated (heptadecyl punicine) hiddenite, kunzite and quartz. Measurements were carried out at the OCA25 from DataPhysics Instruments GmbH with the ARCA method. files are named as follows: mineral_coated/uncoated_numer of experiment minerals: H1- hiddenite1 H2 - hiddenite 2 K1 - kunzite 1 K2 - kunzite 2 K3 - kunzite 3 Q1 - quartz 1 Q2 - quartz 2 Q3 - quartz 3 coating: unb - uncoated C17 - coated with a monolayer of heptadecyl punicine https://rodare.hzdr.de/record/2301 10.14278/rodare.2301 oai:rodare.hzdr.de:2301 eng url:https://www.hzdr.de/publications/Publ-36943 doi:10.14278/rodare.2300 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode dynamic contact angles of water of uncoated and coated (heptadecyl punicine) on quartz, hiddenite and kunzite info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:729 2024-08-08T10:39:11Z openaire_data user-ecfunded user-rodare user-matter user-hzdr user-elbe

Wang, Zhe Kovalev, Sergey Deinert, Jan-Christoph 2021-01-31 Reserach data for Publication: Non-perturbative high-harmonic generation in the three-dimensional Dirac semimetal Cd₃As₂ DOI: 10.1038/s41467-020-16133-8 https://rodare.hzdr.de/record/729 10.14278/rodare.729 oai:rodare.hzdr.de:729 eng info:eu-repo/grantAgreement/EC/H2020/654220/ url:https://www.hzdr.de/publications/Publ-32144 url:https://www.hzdr.de/publications/Publ-29646 doi:10.14278/rodare.728 url:https://rodare.hzdr.de/communities/ecfunded 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 high harmonics Dirac material carrier dynamics ultrafast Research data: Non-perturbative high-harmonic generation in the three-dimensional Dirac semimetal Cd₃As₂ info:eu-repo/semantics/other dataset .eJyV0EFvgjAABeD_0rNZSrUq3NgAdVuLSlvRiymFMQSUCQ5W43-flyXeyO5f3st7V1AnSQws-IQRGqEpniKEMTTRcAAqmSbAQgOQt_Kc1sC6gjJpZCwbuTwnH1kHLHCS2T5W4DYAtTqfimKf3cOACkWhjgWXM3FZlwJuUTohzJ6Qgzuijgupo5BfrLR0TbLNmwuHzZLNhY5meC5ejMPGcx_t8B8W9lnq2CPi5B3V9lht8Hcwfw5pWTERegbLG8I0MQKxftvp-oewFBK2glTzsXDoicEuCxBmATRJHNI6ymP-vqFbzh4t6bOQOGnrMxf5rOqi0lwoTyFZUHH_zQ9gtyRavAq3Ovp61fqOjQlTnX_0LhH8bIXefXFDdDHH78ydasoLHpTqYdeib9df_5Dovn57Am6_L0qyKw.ahCJZg.6zvB0SE1nndab60LdtjwS1AJeHA