2026-06-07T01:30:52Z https://rodare.hzdr.de/oai2d

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

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

oai:rodare.hzdr.de:4029 2026-05-08T15:45:37Z openaire_data user-crc1415 user-fwi user-hzdr user-ibc user-matter user-rodare

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

oai:rodare.hzdr.de:4183 2026-04-29T13:45:37Z openaire_data user-fwd user-hzdr user-rodare

Bieberle, André Lami, Luca Kryk, Holger Geißelbrecht, Michael Bieberle, André 2025-12-12 This data archive contains the pulse height spectra recorded with the MCA-527 (GBS) multichannel analyser and the corresponding history files. The pulse height spectra were recorded continuously throughout the day with an integration time of 300 s. The scintillation detector was operated at +800 V. The data is used for quantitative liquid holdup determination. https://rodare.hzdr.de/record/4183 10.14278/rodare.4183 oai:rodare.hzdr.de:4183 eng url:https://www.hzdr.de/publications/Publ-42445 url:https://www.hzdr.de/publications/Publ-43324 url:https://www.hzdr.de/publications/Publ-43237 doi:10.14278/rodare.4182 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess gamma-radiation densitometry phase fraction determination Densitometric scans on a LOHC Reactor info:eu-repo/semantics/other dataset

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

oai:rodare.hzdr.de:2860 2024-05-16T08:05:29Z openaire_data user-hzdr user-rodare

Bibimoune, I. Hirschmann, Eric Liedke, Maciej Oskar Wagner, Andreas Kawasaki, M. Baudin, T. Mkinsi, I. Abib, K. Huang, Y. Langdon, T. G. Bradai, D. 2024-05-13 This data set contains positron annihilation lifetime spectra and VEPAS-DB spectra. It contains raw data and the corresponding analyzed data. https://rodare.hzdr.de/record/2860 10.14278/rodare.2860 oai:rodare.hzdr.de:2860 eng url:https://www.hzdr.de/publications/Publ-39080 url:https://www.hzdr.de/publications/Publ-39078 doi:10.14278/rodare.2859 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Cu-Cr immiscible alloys high-pressure torsion defects positron annihilation spectroscopy Data publication: Defect Microstructure Evolution in Immiscible Composite Cu43%Cr Alloy after High-Pressure Torsion and Annealing using Positron Annihilation Spectroscopy info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1813 2022-08-04T09:43:06Z openaire_data user-hzdr user-fwd user-matter user-rodare

Schindler, Felix Eckert, Sven Zürner, Till Schumacher, Jörg Vogt, Tobias 2022-07-21 Rawdata on which the publication is based on. .BDD binary files for Ultrasound measurements. .dat: direct temperature measurement data. https://rodare.hzdr.de/record/1813 10.14278/rodare.1813 oai:rodare.hzdr.de:1813 eng doi:10.1103/PhysRevLett.128.164501 url:https://www.hzdr.de/publications/Publ-34082 url:https://www.hzdr.de/publications/Publ-34142 doi:10.14278/rodare.1812 url:https://rodare.hzdr.de/communities/fwd 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 Rayleigh-Benard Convection liquid metal low Pr cylinder Aspect Ratio 0.5 Ultrasound Doppler Velocimetry Data publication: Collapse of Coherent Large Scale Flow in Strongly Turbulent Liquid Metal Convection info:eu-repo/semantics/other dataset

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: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:322 2024-08-08T10:41:59Z openaire_data user-hzdr user-rodare user-elbe

Elsherif, Ahmed Gamal Attallah Koehler, Nicole Liedke, Maciej Oskar Butterling, Maik Hirschmann, Eric Ecke, Ramona Schulz, Stefan E. Wagner, Andreas 2020-05-11 Data to ULK-kinetics by Positron annihilation spectroscopy and Fourier transform infrared spectroscopy https://rodare.hzdr.de/record/322 10.14278/rodare.322 oai:rodare.hzdr.de:322 eng doi:10.17815/jlsrf-2-58 doi:10.1016/j.micromeso.2020.110457 url:https://www.hzdr.de/publications/Publ-31002 url:https://www.hzdr.de/publications/Publ-31402 doi:10.14278/rodare.321 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode PALS FTIR ULK Curing Thermal kinetics of free volume in porous spin-on dielectrics: exploring the network- and pore-properties 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

oai:rodare.hzdr.de:2164 2023-08-31T09:09:44Z openaire_data user-rodare user-hzdr user-casus

Moldabekov, Zhandos Lokamani, Mani Vorberger, Jan Cangi, Attila Dornheim, Tobias 2023-02-20 This repository contains the DFT simulation results presented in the article "Assessing the accuracy of hybrid exchange-correlation functionals for the density response of warm dense electrons". The minimal dataset that would be necessary to interpret, replicate and build upon the findings reported in the article. https://rodare.hzdr.de/record/2164 10.14278/rodare.2164 oai:rodare.hzdr.de:2164 doi:10.1063/5.0135729 url:https://www.hzdr.de/publications/Publ-36547 url:https://www.hzdr.de/publications/Publ-35898 doi:10.14278/rodare.2163 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 warm dense matter hybrid functionals Hartree-Fock Data publication: Assessing the accuracy of hybrid exchange-correlation functionals for the density response of warm dense electrons info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:584 2023-02-16T07:59:55Z user-hzdr user-rodare

Di Nora, V. A. Fridman, E. Nikitin, E. Bilodid, Y. Mikityuk, K. 2020-11-26 This study presents an approach to the selection of optimal energy group structures for multi-group nodal diffusion analyses of Sodium-cooled Fast Reactor cores. The goal is to speed up calculations, particularly in transient calculations, while maintaining an acceptable accuracy of the results. In Part I of the paper, possible time-savings due to collapsing of energy groups are evaluated using 24-group energy structure as a reference. Afterwards, focusing on energy structures with a number of groups leading to significant calculation speedups, optimal grid configurations are identified. Depending on a number of possible energy grid configurations to explore, the optimization is conducted by either a direct search or applying the simulated annealing method. Speedup and optimization studies are performed on a selected case of the Superphénix static neutronic benchmark by using the nodal diffusion DYN3D code. The results demonstrate noticeable improvements in DYN3D performance with a marginal deterioration of the accuracy. https://rodare.hzdr.de/record/584 10.14278/rodare.584 oai:rodare.hzdr.de:584 doi:10.1016/j.anucene.2021.108183 url:https://www.hzdr.de/publications/Publ-31706 url:https://www.hzdr.de/publications/Publ-31688 url:https://www.hzdr.de/publications/Publ-32640 doi:10.14278/rodare.583 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Serpent XS condensation energy structure optimization simulated annealing Optimization of multi-group energy structures for diffusion analyses of sodium-cooled fast reactors assisted by simulated annealing – Part I: methodology demonstration info:eu-repo/semantics/other other

oai:rodare.hzdr.de:3296 2024-12-10T08:55:12Z openaire_data user-energy user-hzdr user-rodare

Ahn, Sohyun Rudolph, Martin Förster, Wenzel Heinrich 2024-12-10 The files contain the raw data of the following Master Thesis: Förster, Wenzel Application of green solvents to remove ionomer-containing binder for PEM water electrolyzer recycling Master Thesis TU Bergakademie Freiberg Date of submission: 2024-12-10 The data contains two excel files and six zip-files. https://rodare.hzdr.de/record/3296 10.14278/rodare.3296 oai:rodare.hzdr.de:3296 eng url:https://www.hzdr.de/publications/Publ-40104 doi:10.14278/rodare.3295 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Recycling Proton Exchange Membrane Electrolyzer Froth Flotation Particle Separation Nafion Application of green solvents to remove ionomer-containing binder for PEM water electrolyzer recycling (RAW data of the Master Thesis) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1467 2024-08-12T13:24:45Z openaire_data user-ecfunded user-hzdr user-rodare user-fwi user-ibc

Slavkovska, Zuzana Wallner, Anton Reifarth, R. Bott, L. Brückner, B. Erbacher, P. Fifield, Keith Froehlich, Michaela Göbel, K. Al-Khasawneh, K. Koll, Dominik Lachner, Johannes Merchel, Silke Pavetich, Stefan Reich, M. Rugel, G. Thomas, B. Tims, S. G. Volknandt, M. Weigand, M. 2022-03-03 Typical neutron energies for the astrophysical s-process follow the Maxwell-Boltzmann distribution in the keV energy range. Neutron capture cross sections highly relevant for modelling the s-process can be experimentally determined by using the Time-of-Flight (ToF) method [1] or by the activation technique. If the reaction product is a long-lived radionuclide (t1/2 ~ yr -100 Myr), the cross section can be determined by activation with a quasi-stellar neutron distribution (typically kT = 25 keV) and a subsequent accelerator mass spectrometry (AMS) measurement of the reaction product [2]. Comparison of a number of such neutron capture cross sections shows a systematic bias, i.e. AMS data being lower than the ToF data [3, 4]. To investigate this discrepancy, we repeated experiments for two reactions that allow for highly precise AMS data: Maxwellian-averaged cross sections for the reactions 54Fe(n,γ)55Fe and 35Cl(n,γ)36Cl were investigated with dedicated activations at the Frankfurt Neutron Source (FRANZ) in Germany [5] and AMS measurements at two independent facilities. Analogously to previous activations, a quasi-stellar neutron spectrum of kT = 25 keV was produced via the 7Li(p,n) reaction, but at a different neutron-producing facility. Furthermore, to complement existing ToF and AMS data, an additional neutron activation of 54Fe and 35Cl at a proton energy of 2 MeV was performed, yielding data in the not-yet explored kT = 90 keV region. The irradiated metallic Fe foil and NaCl pellet (both of natural isotopic composition) were chemically processed and converted to AMS targets (Fe2O3 and AgCl) together with non-irradiated blanks. The subsequent AMS measurements of both radionuclides, 36Cl and 55Fe, were performed at two complementary AMS facilities, the Heavy Ion Accelerator Facility (HIAF) at the Australian National University [6] and at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) in Germany [7]. AMS allows a direct measurement of the 55Fe/54Fe and 36Cl/35Cl conversion ratios that result from the irradiation. The cross section is then deduced from the isotope ratio and the neutron fluence, which is determined using Au monitor foils. The new experiment was designed to produce highly accurate data and, owing to the two independent AMS measurements, it minimizes unrecognized sources of uncertainties in the AMS technique. The new preliminary data obtained in this work seem to confirm the previous AMS results. Consequently, the systematic discrepancy between AMS and ToF data remains unresolved. [1] Guber, K.H., et al., Phys. Rev. C 65, 058801 (2002). [2] Györky, Gy., et al., Eur. Phys. J. A 55, 41 (2019). [3] Capote, R., et al., Nucl. Data Sheets 163 (2020): 191. [4] Slavkovská, Z., et al., EPJ Web Conf. Vol. 232, p.02005, EDP Sciences, 2020. [5] Reifarth, R., et al., Publ. Astron. Soc. Aust. 26.3 (2009): 255. [6] Fifield, L.K., et al. Nucl. Instr. Meth. B: 268 (2010): 858. [7] Rugel, G., et al., Nucl. Instr. and Meth. in Phys. Res. B 370 (2016) 94. for RADIATE https://rodare.hzdr.de/record/1467 10.14278/rodare.1467 oai:rodare.hzdr.de:1467 info:eu-repo/grantAgreement/EC/H2020/824096/ url:https://www.hzdr.de/publications/Publ-34339 doi:10.14278/rodare.1466 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess AMS Reaction cross sections 54Fe(n,γ)55Fe and 35Cl(n,γ)36Cl at keV neutron energies investigated by Accelerator Mass Spectrometry 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:2770 2025-08-27T09:19:21Z openaire_data user-hzdr user-rodare

Marchini, Sara Bieberle, André Schubert, Markus Caggia, Vincenzo Hampel, Uwe 2024-03-19 This dataset was aquired during gas flow modualtion experiments for determining the axial gas dispersion coefficient in bubble columns. The applied measurement technique is gamma-ray densitometry and the dataset consists of densitometry measurements at several axial positions in the bubble columns. Columns of 100, 150 and 330 mm internal diameter were tested. The 100 mm ID column was tested with three different gas spargers to investigate the effect of the gas distributor on gas dispersion. Several operating conditions were tested inside of the homogenous flow regime. Please refer to the attached Excel for details of single files. This research was financially supported by DFG, grant HA 3088/18-1 https://rodare.hzdr.de/record/2770 10.14278/rodare.2770 oai:rodare.hzdr.de:2770 eng url:https://www.hzdr.de/publications/Publ-41628 doi:10.14278/rodare.2769 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess gamma-ray densitometry bubble columns gas axial dispersion Measurement of the axial gas dispersion coefficient in bubble columns of several diameters via gas flow modulation info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2745 2024-08-12T08:06:43Z user-hzdr user-matter user-rodare user-oncoray

Schilz, Joshua Dietrich Bodenstein, Elisabeth Brack, Florian-Emanuel Horst, Felix Irman, Arie Kroll, Florian Pawelke, Jörg Prencipe, Irene Rehwald, Martin Reimold, Marvin Schöbel, Susanne Schramm, Ulrich Zeil, Karl Metzkes-Ng, Josefine 2024-02-28 All necessary Data to recreate the published plots and images in the publication: "Absolute energy-dependent scintillating screen calibration for real-time detection of laser-accelerated proton bunches". Included are the raw scintillating screen images, the plotting data and Python Scripts used for calculations and plotting. https://rodare.hzdr.de/record/2745 10.14278/rodare.2745 oai:rodare.hzdr.de:2745 eng url:https://www.hzdr.de/publications/Publ-38808 url:https://www.hzdr.de/publications/Publ-38800 doi:10.14278/rodare.2744 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode laser-driven protons scintillating screens absolute proton number calibration real-time spatially resolved detector calibration Data publication: Absolute energy-dependent scintillating screen calibration for real-time detection of laser-accelerated proton bunches info:eu-repo/semantics/other other

oai:rodare.hzdr.de:3717 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 openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data 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 user-casus user-hzdr user-rodare

Wicaksono, Damar Canggih Hernandez Acosta, Uwe Thekke Veettil, Sachin Krishnan Kissinger, Jannik Hecht, Michael 2025-04-24 This release includes the dataset used to generate the convergence plot featured in the paper "Minterpy: Multivariate Polynomial Interpolation in Python," submitted to the Journal of Open Source Software (JOSS). It also provides instructions for reproducing both the data from scratch and the plot derived from that data. This is the second release of the dataset, prepared following feedback from the JOSS review process. https://rodare.hzdr.de/record/3717 10.14278/rodare.3717 oai:rodare.hzdr.de:3717 url:https://www.hzdr.de/publications/Publ-40457 url:https://www.hzdr.de/publications/Publ-40367 url:https://github.com/minterpy-project/minterpy-joss-data/releases/tag/v2.0.0 doi:10.14278/rodare.3378 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/MIT Data to "Minterpy: Multivariate polynomial interpolation in Python" 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:1129 2026-02-27T10:10:01Z openaire_data user-hzdr user-rodare

Kroll, Florian Brack, Florian-Emanuel Bernert, Constantin Bock, Stefan Bodenstein, Elisabeth Brüchner, Kerstin Cowan, Thomas Gaus, Lennart Gebhardt, René Helbig, Uwe Karsch, Leonhard Kluge, Thomas Kraft, Stephan Krause, Mechthild Leßmann, Elisabeth Masood, Umar Meister, Sebastian Metzkes-Ng, Josefine Nossula, Alexej Pawelke, Jörg Pietzsch, Jens Püschel, Thomas Reimold, Marvin Rehwald, Martin Richter, Christian Schlenvoigt, Hans-Peter Schramm, Ulrich Umlandt, Marvin Elias Paul Ziegler, Tim Zeil, Karl Beyreuther, Elke 2021-08-23 Source data for all figures of publication: "Tumor irradiation in mice with a laser-accelerated proton beam". Folder structure according to figures. https://rodare.hzdr.de/record/1129 10.14278/rodare.1129 oai:rodare.hzdr.de:1129 eng url:https://www.hzdr.de/publications/Publ-33044 url:https://www.hzdr.de/publications/Publ-33047 url:https://www.hzdr.de/publications/Publ-33048 doi:10.14278/rodare.1128 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 acceleration TNSA Radiobiology FLASH Source Data: Tumour irradiation in mice with a laser-accelerated proton beam (Open Access) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1476 2026-02-27T10:02:17Z openaire_data user-hzdr user-rodare

Kroll, Florian Brack, Florian-Emanuel Bernert, Constantin Bock, Stefan Bodenstein, Elisabeth Brüchner, Kerstin Cowan, Thomas Gaus, Lennart Gebhardt, René Helbig, Uwe Karsch, Leonhard Kluge, Thomas Kraft, Stephan Krause, Mechthild Leßmann, Elisabeth Masood, Umar Meister, Sebastian Metzkes-Ng, Josefine Nossula, Alexej Pawelke, Jörg Pietzsch, Jens Püschel, Thomas Reimold, Marvin Rehwald, Martin Richter, Christian Schlenvoigt, Hans-Peter Schramm, Ulrich Umlandt, Marvin Elias Paul Ziegler, Tim Zeil, Karl Beyreuther, Elke 2022-03-11 Source data for all figures of publication: "Tumor irradiation in mice with a laser-accelerated proton beam". The folder structure is adapted to match the figures in the publication. https://rodare.hzdr.de/record/1476 10.14278/rodare.1476 oai:rodare.hzdr.de:1476 eng url:https://www.hzdr.de/publications/Publ-33048 doi:10.1038/s41567-022-01520-3 url:https://www.hzdr.de/publications/Publ-33047 url:https://www.hzdr.de/publications/Publ-33044 url:https://www.hzdr.de/publications/Publ-35835 doi:10.14278/rodare.1128 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 acceleration TNSA Radiobiology FLASH Source Data: Tumour irradiation in mice with a laser-accelerated proton beam (Open Access) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1967 2024-07-18T06:57:30Z user-hzdr user-health user-fwm user-fwc user-rodare

Starke, Sebastian Zwanenburg, Alex Leger, Karoline Zöphel, Klaus Kotzerke, Jörg Krause, Mechthild Baumann, Michael Troost, Esther Gera Cornelia Löck, Steffen 2022-11-24 We include the input data, analysis scripts, analysis results and scripts to create the visualizations and plots used in the manuscript and supplement to our article "Longitudinal and multimodal radiomics models for head-and-neck cancer outcome prediction". https://rodare.hzdr.de/record/1967 10.14278/rodare.1967 oai:rodare.hzdr.de:1967 doi:10.3390/cancers15030673 url:https://www.hzdr.de/publications/Publ-35309 url:https://www.hzdr.de/publications/Publ-35560 url:https://www.hzdr.de/publications/Publ-35309 url:https://www.hzdr.de/publications/Publ-39339 doi:10.14278/rodare.1966 url:https://rodare.hzdr.de/communities/fwc url:https://rodare.hzdr.de/communities/fwm url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess radiomics head-and-neck cancer loco-regional control survival analysis computed tomography positron emission tomography cox proportional hazards longitudinal imaging Data publication: Longitudinal and multimodal radiomics models for head-and-neck cancer outcome prediction info:eu-repo/semantics/other other

oai:rodare.hzdr.de:3624 2025-07-16T06:56:57Z openaire_data user-fwd user-rodare user-hzdr

Skrypnik, Artem Lappan, Tobias Knüpfer, Leon Ziauddin, Muhammad Arnal Tribaldos, Icíar Shevchenko, Natalia Heitkam, Sascha 2025-03-07 The hydrodynamic theory of pneumatic foam analytically predicts the advective transport of liquid by foam rising continuously in a vertical column or pipe, relying on cross-sectional averaging of the foam velocity and liquid fraction. This experimental study accumulates a database for assessing the pneumatic foam theory in a vertically aligned diverging nozzle, i.e. at increasing cross-sectional area in nominal flow direction. The velocity distribution of the flowing foam and its liquid fraction distribution were measured by means of X-ray, optical and electrical techniques in three different nozzles distinguished by their half angle θ = 5°, 10°, 20°. The experimental setup and the measurements are described in detail in Skrypnik et al. (https://www.hzdr.de/publications/Publ-41024). X-ray radiography (XR) has measured the distribution of the liquid fraction (εXR) inside the nozzle as a two-dimensional projection, i.e. integrated in the X-ray beam direction. X-ray particle tracking (XPTV) has measured the local velocity uT inside the nozzle, along the motion path of each tracer particle described by the radial (r) and vertical position (z) in consecutive frames. The velocity uT was normalised by the superficial gas velocity jg(z) = Qg / (π * R(z)2), with Qg denoting the gas flow rate of compressed air applied for foam generation, and R(z) denoting the radius of the cross-sectional area depending on the vertical position z. To compare different nozzles, the vertical position z was normalised by the total length L = 25 mm / tan(θ) of the nozzle depending on its half angle θ = 5°, 10°, 20°. Optical PIV adapted to foam (FoamPIV) has measured the time-averaged velocity uW through the transparent wall of the nozzle, i.e. at the nozzle radius r = R(z) depending on the vertical position z. As described above, the velocity uW was normalised by the superficial gas velocity jg(z), and the vertical position z was normalised by the total length L of the nozzle. Electrode pairs (EP) have measured the cross-sectional average values of the liquid fraction (εEP) upstream and downstream the nozzle, simultaneously to the X-ray radiographic measurement of the liquid fraction distribution (εXR) inside the nozzle. The experimental data in this repository is structured into different folders and files as follows. FoamNozzle_Overview.CSV gives an overview of all measurements runs, nozzles, and techniques. Level 1 are folders classified by the measurement technique: 01_XR: X-ray radiography, 02_XPTV: X-ray particles tracking velocimetry, 03_FoamPIV: Optical PIV adapted to foam, 04_EP: Electrode pairs. Level 2 are folders classified by the different nozzles, distinguished by the nozzle half angle θ = 5°, 10°, 20°, and divided into bottom and top part in the case of θ = 5°, 10°. Level 3 are TIF and CSV files of measurement results. 01_XR: Each TIF image shows the time-averaged distribution of the liquid fraction inside the nozzle; the liquid fraction (0 < εXR < 1) is indicated by the value of each pixel. 02_XPTV: Each CSV file consists of three columns, namely the radial position (r, in mm), the normalised vertical position (z / L), and the normalised velocity (uT / jg(z)). 03_FoamPIV: Each CSV file consists of two columns, namely the normalised vertical position (z / L), and the normalised velocity (uW / jg(z)). 04_EP: Each CSV file consists of three columns, namely the cross-sectional average of the liquid fraction (0 < εEP < 1) downstream as well as upstream the nozzle, and the time (in s). The authors gratefully acknowledge the financial support provided by the German Research Foundation (DFG, under grant number HE 7529/3-1, project numbers 431077191 and 551239760), by the German Federal Ministry of Education and Research (BMBF, under grant number 03HY123E), and by the Summer Student Program at the Helmholtz-Zentrum Dresden-Rossendorf. https://rodare.hzdr.de/record/3624 10.14278/rodare.3624 oai:rodare.hzdr.de:3624 eng url:https://www.hzdr.de/publications/Publ-41083 url:https://www.hzdr.de/publications/Publ-41024 doi:10.14278/rodare.3623 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 Drainage Liquid fraction Particle tracking velocimetry Particle image velocimetry Pneumatic foam theory X-ray radiography Data publication: Measurement of liquid foam flow through a diverging nozzle info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4648 2026-05-07T10:19:40Z openaire_data user-energy user-fwg user-hzdr user-rodare

Bloß, Christoph Techert, Gerda 2026-05-07 Phage Surface Display Next-Generation Sequencing data of screenings for peptides with a high affinity for Europium(III) ions (Eu3+). The experiments involved conducting multiple biopanning experiments with the Ph.D.-12 Phage Display Peptide Library ((Ph.D.™-12 Phage Display Peptide Library Kit, New England Biolabs GmbH, Frankfurt am Main, Germany (NEB)), employing diverse elution methods. This research received funding from the German Federal Ministry of Education and Research (BMBF), Grand number 031B1348A, 3145129048, 031B1506 and 031B0828A; as well as supported by the project FINEST of the Investment and Networking Fund of the Helmholtz Association under grant agreement no. KA2-HSC-10. https://rodare.hzdr.de/record/4648 10.14278/rodare.4648 oai:rodare.hzdr.de:4648 eng url:https://www.hzdr.de/publications/Publ-43359 doi:10.14278/rodare.4647 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwg 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 Phage Surface Display Next Generation Sequencing Computational Biology Data Evaluation Phage Library Peptide Library Bioinformatics DeepPhage Techert Dataset: Phage Surface Display Next-Generation Sequencing Data from Biopanning Experiments against Eu3+ info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2258 2023-10-18T07:03:32Z openaire_data user-rodare user-hzdr user-energy user-fwi

Da Assuncao Godinho, Jose Ricardo Gupta, Shuvam Guimaraes Da Silva Tochtrop, Camila 2023-08-01 Particle dispersions for 3D analysis using computed tomography prepared according to a standardized sample preparation procedure. Particles are from a Chromite ore (Kemi mine). Each sample has a specific size class. Analysis of the data a published open source https://rodare.hzdr.de/record/2258 10.14278/rodare.2258 oai:rodare.hzdr.de:2258 url:https://www.hzdr.de/publications/Publ-36805 url:https://www.hzdr.de/publications/Publ-36804 doi:10.14278/rodare.2257 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwi 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 computed tomography minerals engineering raw materials X-ray imaging processing MSPaCMAn data particles 3D Data: Particle dispersions 3D characterization of chromite ore particles with different sizes info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1091 2024-08-08T10:37:54Z user-hzdr user-rodare user-elbe

Hirschmann, Eric Butterling, Maik Hernandez Acosta, Uwe Liedke, Maciej Oskar Elsherif, Ahmed Gamal Attallah Petring, Paul Görler, Maik Krause-Rehberg, Reinhard Wagner, Andreas 2021-08-03 Bei diesem Datensatz handelt es sich um die Bilder zur Publikation und Daten für die Leistungskurven https://rodare.hzdr.de/record/1091 10.14278/rodare.1091 oai:rodare.hzdr.de:1091 eng url:https://www.hzdr.de/publications/Publ-32979 url:https://www.hzdr.de/publications/Publ-32980 doi:10.14278/rodare.1090 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Data reduction methods Digital signal processing (DSP) Detection of defects Online farms and online filtering Data publication: A new system for real-time data acquisition and pulse parameterization for digital positron annihilation lifetime spectrometers with high repetition rates info:eu-repo/semantics/other image-drawing

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:4653 2026-06-02T09:35:49Z openaire_data user-crc1415 user-fwi user-hzdr user-ibc user-matter user-rodare

Nihei, Anastasiia Barnowsky, Tom Friedrich, Rico Nihei, Anastasiia Barnowsky, Tom Friedrich, Rico 2025-03-10 This dataset includes the primary research data for the publication "Non-van der Waals Heterostructures" by A. Nihei, T. Barnowsky, and R. Friedrich. The dataset encompasses all heterostructure calculations performed in the study. Repository Structure The dataset is systematically organized into four primary directories: Diamagnetic_diamagnetic/ – Contains computational results for heterostructures composed of two diamagnetic components. Diamagnetic_magnetic/ – Contains computational results for heterostructures comprising one diamagnetic and one magnetic component. Magnetic_magnetic/ – Contains computational results for systems consisting of two magnetic components. Supplementary/ - Contains additional computations that complement the main heterostructure datasets: - Convergence_Test/ - Contains convergence tests with respect to k-point density. It includes calculations for structural relaxation (relax_convergence) and for static and band structure evaluations (bands_dos_convergence). The folder naming convention reflects the k-point sampling in the xy-plane: for instance, a folder labeled 3 corresponds to a 3×3×1 k-point grid. - HSE06/ - Contains computational results of electronic band structure and density of states (BANDS_DOS) or only static runs (SCF_Only) for heterostructures and single layers calculated with the HSE06 functional. - Reference/ – Contains computational results for graphene homobilayer systems. - Shifted_Fe2O3_MgTiO3/ - Contains computational results for 9×9 grid of calculations for possible shifts in the Fe2O3_MgTiO3 heterostructure. - Strain_Effect/ - Contains computational results for single layers with a cell strained as in the HS, but relaxed atomic structure. Naming Conventions Each heterostructure is identified by a systematic naming scheme, structured as follows: Component1_Component2_NumberOfAtoms_TwistAngle_Strain_Functional , where NumberOfAtoms - Total number of atoms in the unit cell TwistAngle – Twist angle (degrees) between 2D components Strain – Initial strain applied to individual components in the resulting heterostructure Functional – Exchange-correlation functional and theoretical level employed (plain PBE(+U), PBE(+U)+D3, SCAN+rVV10) Each shifted Fe2O3_MgTiO3 heterostructure is identified by a systematic naming scheme, structured as follows: Shift_x_y , where inner Fe cation is shifted by (x;y) grid points from the origin (the shifts in x and y directions are changed by the increment of 1/9 of the lattice constant). Computational Data Organization Structural relaxation steps and convergence results are stored within the main directory named according to the previously defined convention for the heterostructure. Each system directory contains the following subdirectories: BANDS_DOS/ – Computed electronic band structures and density of states (DOS). Only density of states (DOS) is available for SCAN+rVV10 and some PBE(+U)+D3 calculations. density_difference/ (if present) – Charge density difference calculations, where charge densities of static calculations of individual systems were subtracted from the heterostructure charge density. PARCHG/ (if present) – Partial charge density calculations for specified bands. PHONONS/ (if present) - Phonon band structure data stored in JSON format. Additional Considerations Large-scale systems – Calculations for extended systems with up to 140 atoms are included. Fe2O3_MgTiO3 twisted systems – The initial aflow.in (260 atoms) files and computational results (140 atoms) for these large systems are located in the Fe2O3_MgTiO3 directory under Diamagnetic_magnetic/. Methodology The monolayer structures used in this study originate from two previous publications [1,2]. The primary data for this systems can be obtained via the following links: https://doi.org/10.14278/rodare.1421 https://doi.org/10.14278/rodare.1852 All heterostructures are generated by a custom “hetbuilder” implementation of the coincidence lattice method within the AFLOW software for materials design [3]. The AFLOW internal automatic determination of k-point sets is used in conjunction with an extension for 2D systems enabling only in-plane sampling. Further information will be available in the publication [4]. Most calculations were carried out using the AFLOW framework, which automated the execution of VASP calculations [5-9]. Partial charge density and HSE06 calculations were executed exclusively with VASP, independent of AFLOW. HSE06 runs were preformed using the pre-relaxed PBE(+U) structures. Shifted Fe2O3_MgTiO3 heterostructures were only vertically relaxed via selective dynamics. The dataset enables reproducibility of the results presented in the associated publication. https://rodare.hzdr.de/record/4653 10.14278/rodare.4653 oai:rodare.hzdr.de:4653 eng doi:10.17815/jlsrf-3-159 doi:10.1021/acs.nanolett.1c03841 doi:10.1002/aelm.202201112 doi:10.14278/rodare.1421 doi:10.14278/rodare.1852 url:https://www.hzdr.de/publications/Publ-41082 url:https://www.hzdr.de/publications/Publ-41218 doi:10.14278/rodare.3621 url:https://rodare.hzdr.de/communities/crc1415 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode 2D materials non-van der Waals compounds heterostructures interface design magnetism data-driven research computational materials science high-throughput computing Data publication: Non-van der Waals Heterostructures info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:218 2024-08-14T10:46:06Z openaire_data user-fwd user-hzdr user-rodare user-topflow

Bieberle, Martina Neumann-Kipping, Martin Wolf, Jan Hampel, Uwe Bieberle, André Schäfer, Thomas 2020-01-07 This data repository contains reconstructed and quantitatively analyzed gas-liquid two-phase distributions obtained from a centrifugal pump mock-up whose geometry is related to a commercially available industrial centrifugal pump. As measurement system the ultrafast electron beam X-ray CT scanner (UFXCT) is applied with a frame rate of 2,500 Hz, single-plane mode and a total scanning interval of 5 seconds. The data repository contains: Reconstructed raw data sets (Algebraic Reconstruction Technique from the UFO framework) for different inlet gas fractions (eps0.0xx) at constant 1600 rpm and for both rotating and back-rotated impeller positions, respectively Extracted RPM per CT scan (frame) including its raw data Extracted angular positions of the impeller mock-up per frame Calculated quantitative gas fraction data sets (static impeller position) Time-averaged gas fraction distribution and its corresponding averaged variance Pump and impeller mask data Additional data obtained from the SPS server with a sampling frequency of 1 Hz Data is stored in HDF5 format. https://rodare.hzdr.de/record/218 10.14278/rodare.218 oai:rodare.hzdr.de:218 eng doi:10.14278/rodare.76 doi:10.1115/1.4045497 url:https://www.hzdr.de/publications/Publ-30371 doi:10.14278/rodare.217 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 centrifugal pump gas-liquid two-phase flow ultrafast electron beam X-ray computed tomography Gas-liquid two-phase flow in a centrifugal pump mock-up with disperse gas flow injection at 1600 rpm info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2485 2024-10-24T14:57:49Z openaire_data user-hzdr user-rodare

Fiedler, Lenz Modine, Normand A. Thompson, Aidan P. Cangi, Attila Rajamanickam, Siva 2021-07-08 # Aluminium data set for Machine Learning applications This dataset contains DFT inputs, outputs, LDOS data and bispectrum descriptor vectors for an aluminium cell of 256 atoms at varying temperatures and ambient mass density. All simulations that include the LDOS have been performed at an LDOS converged k-grid of 8x8x8 k-points. Calculations which do not inlcude the LDOS have been performed at a total free energy converged k-grid of 4x4x4 k-points (i.e., the total free energy has been converged to 1 meV/atom accuracy). For each temperature, a .zip file is included in this data set. All .zip files are structured in the same way. For the two largest temperatures, the zip files have been split into smaller portions for easier download; please note that you still have to download all parts of the zip file locally and re-assemble it via the zip command line utility. Temperature here primarily refers to electronic temperature. However, in almost all cases, the ionic temperature is the same as the electronic temperature. The few cases where this does not hold true are detailed in the individual .zip files by a "different_ionic_temperatures.md" file. If no such file is present in .zip file, then all calculations have been performed at matching electronic and ionic temperatures. ## Authors: - Fiedler, Lenz (HZDR / CASUS) - Cangi, Attila (HZDR / CASUS) - Modine, Normand A. (SNL) - Thompson, Aidan P. (SNL) - Rajamanickam, Siva (SNL) Affiliations: HZDR - Helmholtz-Zentrum Dresden-Rossendorf CASUS - Center for Advanced Systems Understanding SNL - Sandial National Laboratories ## Dataset description - Total size: 1.1 TB - System: Al256 - Temperature(s): 100K, 200K, 298K, 400K, 500K, 600K, 700K, 800K, 933K - Mass density(ies): 2.699 gcc - Crystal Structure: fcc (material mp-134 in the materials project) - Number of atomic snapshots: 105 - 30 (100K): 138 GB - 3 (200K): 42 GB - 10 (298K): 137 GB - 3 (400K): 41 GB - 20 (500K): 237 GB (zip file split in three portions) - 3 (600K): 42 GB - 3 (700K): 42 GB - 3 (800K): 42 GB - 30 (933K): 360 GB (zip file split in four portions) - Contents: - ideal crystal structure: no - MD trajectory: no - Atomic positions: yno - DFT inputs: yes - DFT outputs (energies): yes - SNAP vectors: yes (partially, see below) - dimensions: 200x200x200x94 (last dimension: first three entries are x,y,z coordinates, data size is 91) - units: a.u. - LDOS vectors: yes (partially, see below) - dimensions: 200x200x200x250 - units: 1/(Ry*Bohr^3) - note: LDOS parameters are the same for all sizes of the unit cell - trained networks: no ## Dataset structure For each temperature, a .zip file is included which contains one folder per combination of mass density and number of atoms (only one folder in case of this dataset). Therein, one finds the following folders: - ldos: holds the LDOS vectors - bispectrum: holds the SNAP fingerprint vectors - dft_outputs: holds the outputs from the DFT calculations, i.e. energies in the form of a QE output file - dft_inputs: holds the inputs for the DFT calculations, in the form of a QE input file - different_ionic_temperatures.md: If necessary, details which snapshots have an ionic temperature different from the given electronic temperature https://rodare.hzdr.de/record/2485 10.14278/rodare.2485 oai:rodare.hzdr.de:2485 url:https://www.hzdr.de/publications/Publ-33121 url:https://www.hzdr.de/publications/Publ-39797 doi:10.14278/rodare.1106 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode LDOS/SNAP data for MALA: Aluminium at 298K and 933K info:eu-repo/semantics/other dataset

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:4028 2025-10-07T06:22:22Z openaire_data user-fwi user-hzdr user-ibc user-rodare

Xiong, Zeling Heins, Christopher Devolder, Thibaut Kammerbauer, Fabian Kläui, Mathias Faßbender, Jürgen Schultheiß, Helmut Schultheiß, Katrin 2025-10-02 Python scripts for data analysis & Data files saved from experiments Can ask for other forms of file if needed. https://rodare.hzdr.de/record/4028 10.14278/rodare.4028 oai:rodare.hzdr.de:4028 eng doi:10.17815/jlsrf-3-159 url:https://www.hzdr.de/publications/Publ-41930 url:https://www.hzdr.de/publications/Publ-41929 doi:10.14278/rodare.4027 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode magnon spin wave nonlinearity reservoir computing time-series prediction Brillouin light scattering Data publication: Predicting the Future with Magnons info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1822 2024-08-12T07:55:34Z openaire_data user-hzdr user-rodare user-elbe user-direct-electron-beam-at-elbe

Hensel, Thomas Weinberger, David Bemmerer, Daniel Boretzky, Konstanze Gasparic, Igor Stach, Daniel Wagner, Andreas Zuber, Kai 2022-07-29 The NeuLAND (New Large-Area Neutron Detector) plastic scintillator based time of flight detector for 0.2-1.6 GeV neutrons is currently under construction at the Facility for Antiproton and Ion Research (FAIR), Darmstadt, Germany. In its final configuration, NeuLAND will consist of 3,000 2.7 m long plastic scintillator bars that are read out on each end by fast timing photomultipliers. Here, data from a comprehensive study of an alternative light readout scheme using silicon photomultipliers (SiPM) are reported. For this purpose, a typical NeuLAND bar was instrumented on each end with a prototype of the same geometry as a 1” photomultiplier tube, including four 6×6 mm2 SiPMs, amplifiers, high voltage supply, and micro- controller. Tests were carried out using the 35 MeV electron beam from the ELBE superconducting linac with its ps-level time jitter in two different modes of operation, namely parasitic mode with one electron per bunch and single-usermode with 1-60 electrons per bunch, using Acqiris fast digitizers. In addition, offline tests using cosmic rays and the NeuLAND data acquisition scheme were carried out. Typical time resolutions of σ≤120 ps were found for ≥ 95% efficiency, improving on previous work at ELBE and exceeding the NeuLAND timing goal of σ <150 ps. Over a range of 10-300 MeV deposited energy in the NeuLAND bar, the gain was found to deviate by ≤ 10% (≤20%) from linearity for 35μm (75μm) SiPM pitch, respectively, satisfactory for calorimetric use of the full NeuLAND detector. The dark rate of the prototype studied was found to be 70-200 s-1, comparable with the unavoidable cosmic-ray induced background. The dataset contains the with the Acqiris Digitzier recorded waveforms and analysis scripts for interpretation of the data. Also GEANT4 simulations of the light propagation in a NeuLAND bar and the electron beam propagation are included. https://rodare.hzdr.de/record/1822 10.14278/rodare.1822 oai:rodare.hzdr.de:1822 eng url:https://www.hzdr.de/publications/Publ-34981 url:https://www.hzdr.de/publications/Publ-34940 doi:10.14278/rodare.1821 url:https://rodare.hzdr.de/communities/direct-electron-beam-at-elbe url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess SiPM saturation NeuLAND dark rate electron beam timeresolution Data: Study of a possible silicon photomultiplier based readout of the large plastic scintillator neutron detector NeuLAND info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3027 2024-07-29T06:46:12Z openaire_data user-hzdr user-rodare

Klotzsche, Max Dück, Viktor Drobot, Björn Vogel, Manja Raff, Johannes Stumpf, Thorsten Steudtner, Robin 2024-07-26 Publication of bioassociation, spectroscopic, chromatographic and thermodynamically modelled data obtained in hydroponic plant experiments with Eu(III). europium; speciation; phytoremediation; bioassociation; laser spectroscopy; lanthanides; hydroponics; plant uptake; root exudates; thermodynamic modelling https://rodare.hzdr.de/record/3027 10.14278/rodare.3027 oai:rodare.hzdr.de:3027 eng url:https://www.hzdr.de/publications/Publ-39228 url:https://www.hzdr.de/publications/Publ-39219 doi:10.14278/rodare.3026 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 europium speciation phytoremediation bioassociation laser spectroscopy lanthanides hydroponics plant uptake root exudates thermodynamic modelling Data publication: In search of phytoremediation candidates: Eu(III) bioassociation and root exudation in hydroponically grown plants info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4444 2026-02-23T08:29:00Z openaire_data user-novo user-rodare user-health user-oncoray user-hzdr

Müller, Sara Tabea Akgun, Bora Bekkevoll, Anna Blorstad Thu, Sander Engebertsen, Anders Jagt, Thyrza Pausch, Guntram Phan, Than Binh Ratliff, Hunter Römer, Katja Smeland Ytre-Hauge, Kristian Stokkevag, Camilla Tarakoglu, Engin Turko, Joseph Wolf, Andreas Yazici, Berkay Meric, Ilker Kögler, Toni 2026-01-22 This data set contains the experimental raw data of the NOVO compact detector array (NOVCoDA) from the measurement campaign at OncoRay Dresden, Germany in December 2025. This experiment is the first test of the NOVCoDA prototype at a clinical proton beam. The aim of the measurement campaign was to characterize the response behavior of the scintillators used under high-energy neutron irradiation (especially the pulse-shape discrimination behavior), as well as to test the imaging, range-shift, and rate-processing capabilities of the system. Setup: Measurements 01.12.-09.12.: miniNOVO (version 5): The prototype consists of 12 organic scintillator elements (6 × M600 and 6 × organic glas scintillator) of the dimensions 12×12×140 mm3 Measurements 10.12.-12.12.: miniNOVO (version 5.1): The prototype consists of 14 organic scintillator elements (7 × M600 and 7 × organic glas scintillator) of the dimensions 12×12×140 mm3 The scintillator bars have dual readout composed of 2 × Hamamatsu R7378A (1’’) PMTs1, 4 × Hamamatsu S14161-3050HS-04 SiPM1 + U3012 (+ custom front-end electronics) (only 2 × for miniNOVO version 5) and 8 × Hamamatsu R2059-01 (2’’) PMTs1. The data was recorded with 2 CAEN V1730S3 14-bit, 16-channel digitizers (named dta and dtb) with a sampling frequency of 425.216 MS/s. The detector array was placed at 90° w.r.t. to the fixed-beam research beam line of the Dresden proton therapy facility at OncoRay, Dresden. A cylindrical PMMA (solid/with air gap/with bone insert) was placed centrally in front of the detector head and irradiated with proton energies from 75-225 MeV and varying currents between 10-2000 pA at various positions (± 180 mm w.r.t. central position). In addition measurements with the online-adaptive RAPTOR phantom in different configurations (air insert/bone insert/swelling/no swelling) were executed. Data structure: The directory DOI_calibration contains the position calibration measurements with a Sr-90 source. Energy_calibration holds the energy calibration measurements with a Na-22 and Cs-137 source. In efficiency_measurement the measurements with a Na-22 source at phantom position (with and without PMMA phantom) can be found. PMMA_phantom is dedicated to all the beam measurements with the cylindrical phantom (with and without various inserts) while the directory online_adaptive_phantom provides the same for the measurements with the RAPTOR phantom. All measurements for which waveforms were recorded are stored in waveforms and backend_comparison is comprised of repeat measurements with the cylindrical PMMA phantom where one detector (dtb, ch2 and ch3) was connected to an alternative back-end system for comparison. All other measurements and test runs are in the tests folder. The PDF-files 2025-12_ NOVO-first-proton-facility-tests-PGTV-Wiki.pdf and 2025-12_ NOVO-first-proton-facility-tests-Week-2-PGTV-Wiki.pdf hold information about the setup of the experiment and and more details about the individual measurements (elog). The file 2025-12_ NOVO-first-proton-facility-tests-Run-List-PGTV-Wiki.pdf contains the run list with all parameters for each measurement. In 2025-12_OncoRay_HEBC_Monitor_Data.zip csv-files with the beam control meta data can be found (one file for each measurement day). The main configuration file for the digitizers is called template_main.cfg. Data Format: All data is saved in root files which each contain two root trees, one for each digitizer, named “dta” and “dtb”. The trees hold the following information in the form of listmode data for each event: digitizer channel ("channel"), charge integrated over long gate ("Elong"), charge integrated over short gate ("Eshort"), digitizer flags ("flags") and the timestamp (separated in three parts: "timestamp", "timestampExtended", "time"). Additionally, the root files also contain an TArrayD which denotes the start time of the measurement in UNIX time at its first index and the stop time at its second. There are two configuration files for each data file (named “filename_dtx.config”), one for each digitizer card. These text files contain the information about the digitizer settings for each run. [1] Hamamatsu Photonics Deutschland GmbH, Arzbergerstr. 10, 82211 Herrsching am Ammersee, Germany. [2] Target Systemelektronik, Heinz-Fangman-Straße 4, 42287 Wuppertal, Germany. [3] CAEN S.p.A., Via Vetraia 11, 55049 Viareggio (LU), Italy. The NOVO project has received funding from the European Innovation Council (EIC) under grant agreement No. 101130979. The EIC receives support from the European Union's Horizon Europe research and innovation programme. Partners from The University of Manchester have received funding from UK Research and Innovation under grant agreement No. 10102118 https://rodare.hzdr.de/record/4444 10.14278/rodare.4444 oai:rodare.hzdr.de:4444 eng url:https://www.hzdr.de/publications/Publ-43021 doi:10.14278/rodare.4443 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/novo url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess NOVO Neutron imaging Prompt gamma ray imaging Dual particle imaging Range verification in proton therapy OncoRay First tests of the NOVO Compact Detector Array at a Proton Facility (OncoRay) info:eu-repo/semantics/other dataset

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:1950 2023-01-17T10:48:11Z software user-hzdr user-casus user-rodare

Senapati, Abhishek Mertel, Adam Schlechte-Welnicz, Weronika Calabrese, Justin 2022-11-11 Codes for reproducing the results in the research article "Estimating cross-border mobility from the difference in peak-timing: A case study in Poland-Germany border regions" https://rodare.hzdr.de/record/1950 10.14278/rodare.1950 oai:rodare.hzdr.de:1950 url:https://www.hzdr.de/publications/Publ-35427 url:https://www.hzdr.de/publications/Publ-35428 doi:10.14278/rodare.1949 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 Coupling strength Disease outbreak Spatio-temporal model Stochastic simulation Maximum likelihood estimation Software publication: Estimating cross-border mobility from the difference in peak-timing: A case study in Poland-Germany border regions info:eu-repo/semantics/other software

oai:rodare.hzdr.de:4120 2025-11-14T08:56:48Z software software user-hzdr user-rodare user-fwi user-ibc

Sequeira, Miguel Erb, Denise Facsko, Stefan 2025-11-13 This repository contains the experimental AFM datasets and the PINN-ShiftNet code used in the manuscript Predicting Instability-Driven Dynamics from Sparse Measurements. This repository is also in https://github.com/m-sequeira/PINN-ShiftNet ├─ PINN_ShiftNet/ │ └─ (code files) ├─ data/ │ └─ (raw and png experimental AFM data) ├─ README.md https://rodare.hzdr.de/record/4120 10.14278/rodare.4120 oai:rodare.hzdr.de:4120 doi:10.17815/jlsrf-3-159 url:https://www.hzdr.de/publications/Publ-42223 doi:10.14278/rodare.4119 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Predicting instability-driven dynamics from sparse measurements: Code and Data info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3226 2024-11-12T10:18:29Z openaire_data user-fwd user-hzdr user-rodare user-rofex user-topflow

Barthel, Frank Sohr, Johanna Sprewitz, Uwe Schubert, Markus Bieberle, André Sohr, Johanna Barthel, Frank Sprewitz, Uwe Schubert, Markus 2024-11-12 This repository contains sequences of CT images of the two-phase flow in sandwich packings that are alternately arranged in a packing stack using B1-250 (specific geometric surface area is 250 m² /m³) for de-entrainment layer and B1-1000 (specific geometric surface area is 1000 m² /m³) for holdup layer. As measurement system the ultrafast electron beam X-ray computed tomography scanner was applied in dual plane scanning mode with a dual-imaging frequency of 1000 Hz. Operating parameters, the scanning plane as well as the tags "AB" for de-entrainment layer, "AN" for hold-up layer and "DRIVE" for an axial scan are encoded in the name of the data files. https://rodare.hzdr.de/record/3226 10.14278/rodare.3226 oai:rodare.hzdr.de:3226 eng url:https://www.hzdr.de/publications/Publ-39876 doi:10.14278/rodare.3225 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/rofex url:https://rodare.hzdr.de/communities/topflow info:eu-repo/semantics/restrictedAccess sandwich packing two-phase flow ultrafast electron beam X-ray computed tomography CT image sequences of sandwich packings: B1-250 plus B1-1000 at constant liquid rate of 10 m³/(m²h) and various gas rates info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:62 2018-11-19T14:13:31Z user-hzdr user-rodare

Frust, Tobias Konrad, Uwe Görzig, Heike Juckeland, Guido 2018-10-18 Das BMBF Verbundprojekt RDMatDB wird im Rahmen der Förderrichtlinie "Erforschung des Managements von Forschungsdaten in ihrem Lebenszyklus“ realisiert. Ziel des Projektes ist es, Forschungsdaten-Management-Lösungen zu entwickeln, die das HZDR und HZB als Betreiber von Infrastrukturen in die Lage versetzen, die sich aus den FAIR-Prinzipien des Datenmanagements ergebenden Anforderungen zu erfüllen. Im dem Vortrag auf der BMBF-Veranstaltung "Forschungsdatenmanagement - künftige Entwicklungen und aktuelle Fragen der Wissenschaft" wird das Projekt und die Perspektiven vorgestellt. The BMBF joint project RDMatDB of the HZDR and HZB is implemented within the scope of the funding program "Research on the management of research data in its life cycle ". The goal of the project is to develop research data management solutions which the HZDR and HZB consider to meet the requirements of the FAIR data management principles. The project and perspectives are presented at the BMBF event "Research Data Management - Future Developments and Current Issues of Science". none. https://rodare.hzdr.de/record/62 10.14278/rodare.62 oai:rodare.hzdr.de:62 deu doi:10.14278/rodare.61 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 Research Data Management, Data Repository, FAIR Data Management, Data Lifecycle Forschungsdatenmanagement am Helmholtz-Zentrum Dresden-Rossendorf und am Helmholtz-Zentrum Berlin (RDM@DB) info:eu-repo/semantics/lecture presentation

oai:rodare.hzdr.de:151 2019-09-05T11:43:19Z openaire_data user-rodare user-matter user-hzdr

Debus, Alexander Steiniger, Klaus Pausch, Richard Huebl, Axel Widera, Rene 2019-09-04 The input sets of the simulations as used in the publication "Circumventing the Dephasing and Depletion Limits of Laser-Wakefield Acceleration" by A. Debus et al. . The input sets include TWEAC scenarios, the LWFA scenario and the laser-propagation scenario of Appendix D. The src-directories include custom additions to the PIConGPU source code. The simulations were run using the beta-rc6, 0.3.1, and 0.4.0 releases of PIConGPU (see DOI: 10.5281/zenodo.591746). The input sets are shown according to the respective PIConGPU version used in the original simulation. However, for running the simulations we recommend adapting the input sets to the 0.4.0 release. https://rodare.hzdr.de/record/151 10.14278/rodare.151 oai:rodare.hzdr.de:151 eng doi:10.5281/zenodo.591746 url:https://www.hzdr.de/publications/Publ-29625 doi:10.14278/rodare.150 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 Optics Photonics Plasma Physics PIConGPU simulation settings for TWEAC info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2055 2024-08-12T09:49:03Z user-hzdr user-fwi user-ecfunded user-energy user-rodare user-ibc

Fowley, Ciaran Kurian, Jinu Doudin, Bernard Hlawacek, Gregor Fowley, Ciaran Kuria, Jinu 2023-01-03 Pattering data from NPVE software for Helium Ion Microscopy (HIM) irradiation data https://rodare.hzdr.de/record/2055 10.14278/rodare.2055 oai:rodare.hzdr.de:2055 info:eu-repo/grantAgreement/EC/H2020/766007/ doi:10.17815/jlsrf-3-159 url:https://www.hzdr.de/publications/Publ-36030 url:https://www.hzdr.de/publications/Publ-35950 doi:10.1063/5.0131188 doi:10.14278/rodare.2054 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode focused ion beam helium ion microscopy nanopatterning magnetic Pattering data from NPVE software for Helium Ion Microscopy (HIM) irradiation data info:eu-repo/semantics/other image-photo

oai:rodare.hzdr.de:1542 2022-04-14T10:18:46Z openaire_data user-hzdr user-rodare

Heller, René Meersschaut, Johan Claessens, Niels Merckling, Clement Klingner, Nico 2022-04-14 The zip-file contains all synthetic spectra as used for and described in the publication "Differential evolution optimization of Rutherford back-scattering spectra" and all simulation input files for the code RUTHELDE presented therein. Naming according to the text in the paper. All files are in human readable ASCII format. The simulation input files can be best viewed with any kind of JSON file editor. https://rodare.hzdr.de/record/1542 10.14278/rodare.1542 oai:rodare.hzdr.de:1542 url:https://www.hzdr.de/publications/Publ-34545 doi:10.14278/rodare.1541 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 Syntetic Spectra Data used in publication "Differential evolution optimization of Rutherford back-scattering spectra" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1251 2026-01-30T11:07:47Z openaire_data user-hzdr user-rodare user-ibc user-fwi

Das, Aniruddh Altstadt, Eberhard Kaden, Cornelia Kapoor, Garima Akhmadaliev, Shavkat Bergner, Frank 2021-11-08 The dataset consists of inputs from ion irradiation experiments, nanoindentation and empirical modeling results for Fe (G379), ferrritic Fe-9Cr (G385), martensitic Fe-9Cr (L252) and Eurofer 97 steel. The dataset also includes the basic characterization of microstructure. https://rodare.hzdr.de/record/1251 10.14278/rodare.1251 oai:rodare.hzdr.de:1251 eng doi:10.17815/jlsrf-3-159 doi:10.3389/fmats.2021.811851 url:https://www.hzdr.de/publications/Publ-33362 url:https://www.hzdr.de/publications/Publ-33324 doi:10.14278/rodare.1250 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode iron Fe-Cr alloy ferritic-martensitic steel ion irradiation displacement damage nanoindentation irradiation hardeníng indentation size effect Data publication: Nanoindentation response of ion-irradiated Fe, Fe-Cr alloys and ferritic-martensitic steel Eurofer 97: The effect of ion energy info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3251 2025-02-24T11:35:24Z openaire_data user-hzdr user-rodare

Shi, Yasong Deng, Yilong Yu, Weikang Zhang, Xiaokang Gloaguen, Richard Zhu, Xiao Xiang Ghamisi, Pedram 2024-11-09 This is the full version of the MineNetCD dataset. The paper has been published in IEEE TGRS 2024 (https://ieeexplore.ieee.org/document/10744421). The dataset contains 100 sites, and the metadata can also be found in the zip archive. The cropped version can also be found in Huggingface Hub (https://huggingface.co/datasets/HZDR-FWGEL/MineNetCD256). https://rodare.hzdr.de/record/3251 10.14278/rodare.3251 oai:rodare.hzdr.de:3251 doi:10.1109/TGRS.2024.3491715 doi:10.1109/TGRS.2024.3491715 url:https://www.hzdr.de/publications/Publ-39864 url:https://www.hzdr.de/publications/Publ-39865 doi:10.14278/rodare.3250 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 Mining change detection remote sensing benchmark frequency domain learning unified framework Data publication: MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery 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:1473 2023-10-26T08:28:44Z openaire_data user-energy user-fwd user-hzdr user-rodare

Heßenkemper, Hendrik Starke, Sebastian Atassi, Yazan Ziegenhein, Thomas Lucas, Dirk 2022-03-07 This dataset contains the annotated training images and synthetic test images for the publication "Bubble identification from images with machine learning methods". https://rodare.hzdr.de/record/1473 10.14278/rodare.1473 oai:rodare.hzdr.de:1473 eng url:https://www.hzdr.de/publications/Publ-34351 url:https://www.hzdr.de/publications/Publ-34350 doi:10.14278/rodare.1472 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 Dataset for Bubble identification from images with machine learning methods info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1487 2023-10-26T08:28:44Z openaire_data user-energy user-fwd user-hzdr user-rodare

Heßenkemper, Hendrik Starke, Sebastian Atassi, Yazan Ziegenhein, Thomas Lucas, Dirk 2022-03-22 This dataset contains the annotated training images and synthetic test images for the publication "Bubble identification from images with machine learning methods". https://rodare.hzdr.de/record/1487 10.14278/rodare.1487 oai:rodare.hzdr.de:1487 eng doi:10.1016/j.ijmultiphaseflow.2022.104169 url:https://www.hzdr.de/publications/Publ-34351 url:https://www.hzdr.de/publications/Publ-34350 doi:10.14278/rodare.1472 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 Dataset for Bubble identification from images with machine learning methods info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1856 2024-10-24T14:59:28Z openaire_data user-hzdr user-matter user-rodare

Fiedler, Lenz Moldabekov, Zhandos Shao, Xuecheng Jiang, Kaili Dornheim, Tobias Pavanello, Michele Cangi, Attila 2022-05-30 # Data and Scripts for "Accelerating Equilibration in First-Principles Molecular Dynamics with Orbital-Free Density Functional Theory" This dataset contains data and calculation scripts for the publication "Boosting first-principles molecular dynamics with orbital-free density functional theory". Its goal is to enable interested parties to reproduce the experiments we have carried out. ## Prerequesites The following software versions are needed for the python scripts: - `python`: 3.8.x - `mala`: 1.1.0 (with `dftpy` installed) Further, make sure you have a working `Quantum ESPRESSO` and `VASP` installation and have downloaded additional data such as local pseudopotentials and ML models (for references, see publication). ## Contents - `scripts/`: Example scripts for the three principal python tasks associated with out work: ML inference, trajectory analysis and OF-DFT-MD runs (via DFTPy). The scripts are general blueprints for these experiments and can be adjusted to perform all of the calculations given in the publication. - `data/`: Contains raw calculation data for the three investigated systems (hydrogen, beryllium and aluminium). Since the main goal of this work is to compare OF-DFT-MD initialized and ideal crystal structure initialized trajectories and inferences, each of the three system-folders contains a `MD_ideal_crystal_structure` and `MD_ofdft_init` folder, with ideal crystal structure and OF-DFT-MD initialized data, respectively. Therein, contents may differ; e.g. aluminium contains DFT calculation data, for beryllium data is divided by system size and Nosé mass, while for hydrogen data for different temperatures is given. https://rodare.hzdr.de/record/1856 10.14278/rodare.1856 oai:rodare.hzdr.de:1856 doi:10.1103/PhysRevResearch.4.043033 url:https://www.hzdr.de/publications/Publ-34767 url:https://www.hzdr.de/publications/Publ-34778 url:https://www.hzdr.de/publications/Publ-39797 doi:10.14278/rodare.1648 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 Data and Scripts for "Accelerating Equilibration in First-Principles Molecular Dynamics with Orbital-Free Density Functional Theory" 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: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 .eJyV0EFPgzAcBfDv8j-jaXFsjMSDy4CYwHCsRfCyVIqAFJiwCXbZd7fxsHhbOLzT--Ud3hn6LONgoXtzhszl3DTxAzYWaI41OLA8A0vXoBpYl_dgnRU-ggWnPuvuCsk70KDOjoyzI3vpso9yVGXLyj1P4aJBn3atEPtSzUMaRyJtBGVudArrCCV6vvDJk0qFfZmPwfpZBo1zekfFEMm3L4qjkVPDI7YpN1TQXZ0q6898ksiAbIfgc2vwOGwDZ_VNG19PKqf04i0O7eKQun9WbiRV28lPIFbktQnJji7DyOUeEdyIsana1tg59n87TLDjBCsnWHTbXj9Dtz-7WjzB6jftun-Eyy9kh7yk.aiTJzA.ESYdojcUUVc566FwcDxlbVMMqsY