2026-04-12T23:07:31Z https://rodare.hzdr.de/oai2d

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

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

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

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

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

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

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

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

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

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

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

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

oai:rodare.hzdr.de:2696 2025-02-12T13:30:41Z openaire_data user-energy user-hzdr user-rodare

Scheingross, Joel Repasch, Marisa Hovius, Niels Fuchs, Margret 2024-01-25 The data set contains all relevant luminescence measurement data used in the corresponding article: Scheingross et al. 2021. The fate of fluvially-deposited organic carbon during transient floodplain storage. EPSL 561, 116822, doi: 10.1016/j.epsl.2021.116822. https://rodare.hzdr.de/record/2696 10.14278/rodare.2696 oai:rodare.hzdr.de:2696 doi:10.1016/j.epsl.2021.116822 url:https://www.hzdr.de/publications/Publ-33920 url:https://www.hzdr.de/publications/Publ-33919 doi:10.14278/rodare.2695 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 optically stimulated luminescence data Data publication: The fate of fluvially-deposited organic carbon during transient floodplain storage info:eu-repo/semantics/other dataset

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

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

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

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

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

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

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

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

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

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

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

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

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

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

oai:rodare.hzdr.de:2748 2024-03-04T07:19:32Z user-hzdr user-rodare

Konrad, Uwe Bieberle, André Bussmann, Michael Grzeganek, Merit Hüser, Christian Huste, Tobias Juckeland, Guido Kaever, Peter Moravcikova, Martina Schlegel, Fabian Wagner, Nicole Wolf, Björn 2024-03-01 Software is a central component of academic research and the scientific infrastructure and is devel-oped and used in all HZDR institutes. In this regulation, software refers to all forms of program code (e.g. source code together with associated documentation) and executable programs generated from it, which are developed, made available and passed on within the scope of activities at the HZDR. The development of software is an integral part of modern publication contexts consisting of written publica-tions, data sets and software. The policy covers the software life cycle, from software development and documentation to the transfer and maintenance of the software. The regulation is intended to support the establishment of modern software engineering methods at the HZDR, which enable high standards in software de-velopment, software quality and management. This professionalization will achieve greater sustain-ability and promote good scientific practice in terms of the verifiability and reproducibility of research results. https://rodare.hzdr.de/record/2748 10.14278/rodare.2748 oai:rodare.hzdr.de:2748 eng url:https://www.hzdr.de/publications/Publ-38813 doi:10.14278/rodare.2747 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 Software Engineering Software Development Software Policy HIFIS Helmholtz HZDR Software Policy info:eu-repo/semantics/other other

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

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

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

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

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

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

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

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

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

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

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

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

oai:rodare.hzdr.de:556 2021-02-08T09:05:56Z openaire_data openaire_data openaire_data openaire_data user-fwd user-hzdr user-rodare

Wiedemann, Philipp de Assis Dias, Felipe Schleicher, Eckhard Hampel, Uwe 2020-10-21 The dataset contains raw data belonging to Wiedemann et al.: Temperature Compensation for Conductivity-Based Phase Fraction Measurements with Wire-Mesh Sensors in Gas-Liquid Flows of Dilute Aqueous Solutions, Sensors 2020, 20(24), 7114; https://doi.org/10.3390/s20247114. A 16x16 conductivity-based wire-mesh sensor was placed in a single-phase liquid loop with adjustable fluid temperature. The dataset includes the wire-mesh sensor measurements with water at several temperature levels from 12.5°C to 80°C and the corresponding electrical conductivites. Two water samples, namely deionized water and a mixed water sample, were investigated. The latter one is composed of 95% deionized water and 5% local tap water. https://rodare.hzdr.de/record/556 10.14278/rodare.556 oai:rodare.hzdr.de:556 eng url:https://www.hzdr.de/publications/Publ-31623 url:https://www.hzdr.de/publications/Publ-31605 doi:10.14278/rodare.555 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 wire-mesh sensor temperature compensation electrical conductivity Wire-mesh sensor measurements of single-phase liquid flows at different temperatures info:eu-repo/semantics/other dataset

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

oai:rodare.hzdr.de:3330 2025-05-06T09:06:49Z openaire_data user-rodare user-energy user-fwd user-hzdr

Rox, Hannes Ränke, Fabian Zschach, Lis Geraldine Yang, Xuegeng Mutschke, Gerd Eckert, Kerstin Lasagni, Andrés Fabián Baumann, Robert 2025-01-28 Tuning the electrode surfaces for better bubble management is a promising approach to increase the efficiency of alkaline water electrolysis. Therefore, Direct Laser Writing was used to structure Nickel electrodes with a dual wetting surface. The applied pillar-like structure combines superhydrophilic behavior and strong spreading of the liquid across the electrode with hydrophobic bubble nucleation sites. In addition, the electrochemically active surface area is increased by a factor of 9. As a result, the overpotential has been significantly reduced, while the size of the detached bubble has increased. The present data set compares three different electrodes, a non-structured reference electrode and two laser structured electrodes with different depths of the structure, at applied current densities of j = -20, -50 and -100 mA/cm² in terms of electrode potential, detached bubble size and number of nucleation sites. As electrolyte 1 M KOH was used. All experiments were carried out under ambient conditions (T = 293 K,p = 1 bar). Description of Data.zip: An overview of all performed experiments is given in the file Summary.csv. The data is analyzed as described in the corresponding journal publication Dual wetting electrode surfaces for alkaline water electrolysis. Each data set is stored in a .hdf5-file, with the relevant metadata incorporated into the attributes assigned to the groups/datasets within the .hdf5-file. The data files are structured in groups as follows: Electrochemical Measurement Data Galvanostatic Measurement Data CV double-layer capacitance LSV onset potential Results Detected Bubbles Sideview Sideview Raw Images (only for SH2_LS_Pil_01.hdf5) With the exception of a single comprehensive data set comprising unprocessed images (SH2_LS_Pil_01.hdf5), the remaining raw images from all performed measurements can be made available upon request. This project is supported by the Federal State of Saxony in terms of the "European Regional Development Fund" (H2-EPF-HZDR), the Helmholtz Association Innovation pool project "Solar Hydrogen", the Hydrogen Lab of the School of Engineering of TU Dresden, and BMBF (project ALKALIMIT, grant no. 03SF0731A). https://rodare.hzdr.de/record/3330 10.14278/rodare.3330 oai:rodare.hzdr.de:3330 eng url:https://www.hzdr.de/publications/Publ-40874 url:https://www.hzdr.de/publications/Publ-41120 doi:10.14278/rodare.3329 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Alkaline water electrolysis Hydrogen evolution reaction Bubble dynamics Dual wetting Direct laser writing Data publication: Dual wetting electrode surfaces for alkaline water electrolysis info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de:24 2020-10-20T11:18:53Z openaire_data user-ecfunded user-fwk user-matter user-rodare user-hzdr

Kluge, Thomas Rödel, Melanie Metzkes, Josefine Pelka, Alexander Garcia, Alejandro Laso Prencipe, Irene Rehwald, Martin Nakatsutsumi, Motoaki McBride, Emma E. Schönherr, Tommy Garten, Marco Hartley, Nicholas J. Zacharias, Malte Erbe, Arthur Georgiev, Yordan M. Galtier, Eric Nam, Inhyuk Lee, Hae Ja Glenzer, Siegfried Bussmann, Michael Gutt, Christian Zeil, Karl Rödel, Christian Hübner, Uwe Schramm, Ulrich Cowan, Thomas E. 2018-05-09 Raw data, lineouts and fits for the publication https://rodare.hzdr.de/record/24 10.14278/rodare.24 oai:rodare.hzdr.de:24 info:eu-repo/grantAgreement/EC/H2020/654148/ url:https://www.hzdr.de/publications/Publ-27465 doi:10.14278/rodare.23 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/fwk 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-sa/4.0/legalcode Data for publication info:eu-repo/semantics/other dataset

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

oai:rodare.hzdr.de:1185 2021-09-15T07:31:05Z openaire_data user-hzdr user-energy user-rodare

Michaux, Bruno 2021-09-14 Files are containing the raw data of the dissertation: Title: Advancement of Mineral Processing Simulation Platforms for the Integration of Water Quality – Process Performance Interactions in Water Management Systems Author: M.Sc. Bruno Benjamin Xavier Michaux Faculty: Faculty of Mechanical, Process and Energy Engineering of the Technische Universität Bergakademie Freiberg Year: 2021 It contains 3 Excel sheets: One for the flotation kinetics data One for the water composition data in flotation One for the water composition data in the mill. Furthermore it contains a student report from 2017 which is describing the preparation of the synthetic water by Miaad Farhan Fadami Research Intern miaad.farhanfadami@mail.mcgill.ca https://rodare.hzdr.de/record/1185 10.14278/rodare.1185 oai:rodare.hzdr.de:1185 eng url:https://www.hzdr.de/publications/Publ-33111 doi:10.14278/rodare.1184 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 Mineral Processing Mining Water Advancement of Mineral Processing Simulation Platforms for the Integration of Water Quality – Process Performance Interactions in Water Management Systems (Raw Data) info:eu-repo/semantics/other dataset

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

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

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

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

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

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

oai:rodare.hzdr.de:1347 2023-08-31T09:17:41Z openaire_data user-hzdr user-matter user-rodare

Cangi, Attila Ramakrishna, Kushal Lokamani, Mani 2021-12-22 This repository contains the data and script to generate the electronic component of the thermal conductivity in iron (alpha phase) relevant for the linked publication. https://rodare.hzdr.de/record/1347 10.14278/rodare.1347 oai:rodare.hzdr.de:1347 doi:10.1007/s10853-021-06865-3 url:https://www.hzdr.de/publications/Publ-33790 url:https://www.hzdr.de/publications/Publ-33761 doi:10.14278/rodare.1346 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Density functional theory Electron transport properties Thermal conductivity Electrical conductivity Data for "Dissociating the phononic, magnetic and electronic contributions to thermal conductivity: a computational study in α-iron" info:eu-repo/semantics/other dataset

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

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

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

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

oai:rodare.hzdr.de: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: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: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: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: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:2989 2026-02-27T10:10:01Z openaire_data user-fwd user-hzdr user-rodare user-rofex

Papapetrou, Theodoros Nestor Bieberle, Martina Barthel, Frank Hampel, Uwe Lecrivain, Gregory 2024-06-03 Original video camera data, and time-averaged, beam-hardening-corrected, drift-corrected dynamic and static UFXCT image data used in the associated publication; code used for the final processing; and the final processed data. More details are found in the publication and in the info in the respective folders. https://rodare.hzdr.de/record/2989 10.14278/rodare.2989 oai:rodare.hzdr.de:2989 eng url:https://www.hzdr.de/publications/Publ-36765 url:https://www.hzdr.de/publications/Publ-39067 url:https://www.hzdr.de/publications/Publ-36766 doi:10.14278/rodare.2241 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/rofex info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode granular mixing rotating drum ultrafast X-ray computed tomography image processing Data and code: Investigating binary granular mixing in a rotating drum using ultrafast X-ray computed tomography info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de: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:3583 2025-10-01T11:26:42Z openaire_data user-rodare user-fwd user-hzdr

Skrypnik, Artem Knüpfer, Leon Trtik, Pavel Lappan, Tobias Ziauddin, Muhammad Heitkam, Sascha 2025-02-26 The structure of liquid foam is generally considered random and isotropic. However, when foam flows past a set of wires, an inhomogeneous liquid fraction distribution, or layering, can be observed within the bulk. This dataset presents neutron radiography data of foam flowing past a set of thin metal wires. During the experiments, the gas flow rate and bubble size were varied. Additionally, a dataset for foam flow past a single wire is included for reference. The folder includes initial data for the manuscript "Generating structured foam via flowing through a wire array". Folder includes: 01_scripts scripts used for the data processing 02_rawdata Initial neutron imaging data (.tif images) 03_evaluation folder with MATLAB scripts used for data analysis LABBOOK Experimental labbook explaining the experimental sequence. Protocol The Neutron imaging protocol with the data of neutron source and image resolution The data processing is shown for the O1 bubble generator. It includes: 1. MASK_... script used to define the cell walls and determine the mask, used further for the liquid fraction calculation. 2. N13_INIT... scritps to define normalised image, which further used to determine liquid fraction distribution 3. POST_BOT... scripts used to postprocess the data: define Liquid fraction distribution and DFT of those distributions. Note: 1. The data were analysed at two positions: bottom (0) and top (100), meaining at the wire grid and 100 mm downstream the grid. To this end, mask should be calculated also for the top part of the nozzle, if needed, as shown in the presented examples. 2. The data for the empty cell were calculated for the foam flow through the cell with a single thin wire. The data were extracted in the ROI before the wire (run 553-557). 3. Data processing was performed as suggested in https://doi.org/10.1371/journal.pone.0210300 The authors gratefully acknowledge the financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, under grant number HE 7529/3-1, project number 431077191). This work is based on experiments (beam-time proposal number 20240273) performed at the NEUTRA instrument of the Swiss spallation neutron source SINQ, Paul Scherrer Institute, Villigen, Switzerland. https://rodare.hzdr.de/record/3583 10.14278/rodare.3583 oai:rodare.hzdr.de:3583 eng url:https://www.hzdr.de/publications/Publ-41043 url:https://www.hzdr.de/publications/Publ-41037 doi:10.14278/rodare.3582 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 Foam Neutron imaging Radiography Data publication: Generating structured foam via flowing through a wire array 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: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: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: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: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: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:3617 2025-04-01T09:04:17Z openaire_data user-energy user-hzdr user-fwd user-rodare

Bashkatov, Aleksandr Bürkle, Florian Demirkır, Çayan Ding, Wei Sanjay, Vatsal Babich, Alexander Yang, Xuegeng Mutschke, Gerd Czarske, Jürgen Lohse, Detlef Krug, Dominik Büttner, Lars Eckert, Kerstin 2025-03-07 Description of Data availability.zip: The archive contains raw data necessary for reproducing all figures presented in the manuscript submitted as Electrolyte spraying within H2 bubbles during water electrolysis (also available as a pre-print at https://doi.org/10.48550/arXiv.2409.00515). Each folder within the archive includes a readme file detailing data included (e.g. images, electrochemical data, or velocity fields). This research received funding from the German Space Agency (DLR), with funds provided by the Federal Ministry of Economics and Technology (BMWi) due to an enactment of the German Bundestag under Grant No. DLR 50WM2352 (project MADAGAS III), H2Giga (BMBF, 03HY123E), from the Hydrogen Lab of the School of Engineering of TU Dresden, from the Advanced Research Center Chemical Building Blocks Consortium (ARC CBBC), under the project of New Chemistry for a Sustainable Future (project number 2021.038.C.UT.14) and partially from the German Research Foundation (DFG, project number 459505672). https://rodare.hzdr.de/record/3617 10.14278/rodare.3617 oai:rodare.hzdr.de:3617 eng doi:10.48550/arXiv.2409.00515 url:https://www.hzdr.de/publications/Publ-41084 url:https://www.hzdr.de/publications/Publ-41170 doi:10.14278/rodare.3616 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 raw data electrolysis bubble dynamics hydrogen Worthington jet droplets injection end-pinching Marangoni effect internal flow electrolyte spraying hydrogen evolution reaction Data publication: Electrolyte spraying within H2 bubbles during water electrolysis 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: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: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:1645 2022-05-30T07:06:04Z openaire_data user-matter user-hzdr user-rodare

Thiessenhusen, Erik Hoffmann, Nico Kluge, Thomas 2022-05-25 This simulated dataset consists of 48k train, 6k validation and 6k test data in the h5py file format. A small example on how to access the data is located in the python script "load_data_example.py". "all_params.h5" are the three parameters of each grating in the order sigma, g, b. "all_dist.h5" are the gratings and "all_endproduct.h5" are the 2048D lineouts of the SAXS diffraction pattern. Besides the |FFT|^2 SAXS propagator a number of pertubations were implemented in order to close the domain gap between simulation and experiment. https://rodare.hzdr.de/record/1645 10.14278/rodare.1645 oai:rodare.hzdr.de:1645 eng url:https://www.hzdr.de/publications/Publ-34715 doi:10.14278/rodare.1644 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode SAXS lineout grating inversion Dataset for Inversion of 1D SAXS grating signal info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de: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: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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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: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: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:131 2019-07-03T13:43:05Z user-rodare user-matter user-hzdr

Huebl, Axel Widera, René Garten, Marco Pausch, Richard Steiniger, Klaus Bastrakov, Sergei Meyer, Felix Bastrakova, Ksenia Debus, Alexander Kluge, Thomas Ehrig, Simeon Werner, Matthias Worpitz, Benjamin Matthes, Alexander Rudat, Sophie Starke, Sebastian Bussmann, Michael 2019-06-13 PIConGPU is an open source, multi-platform particle-in-cell code scaling to the fastest supercomputers in the TOP500 list. We present the architecture, novel developments, and workflows that enable high-precision, fast turn-around computations on Exascale-machines. Furthermore, we present our strategies to handle extreme data flows from thousands of GPUs for analysis with in situ processing and open data formats (openPMD). PIConGPU is since recently furthermore natively controlled by a Python Jupyter interface and we research just-in-time kernel generation for C++ with our Cling-CUDA extensions. Invited minisymposium talk at the Platform for Advanced Scientific Computing (PASC) Conference (PASC19) at ETH Zurich (Zurich, Switzerland). https://rodare.hzdr.de/record/131 10.14278/rodare.131 oai:rodare.hzdr.de:131 eng url:https://www.hzdr.de/publications/Publ-29351 doi:10.14278/rodare.130 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 LPA laser-plasma particle-in-cell HPC manycore GPU simulation interactive big data Scalable, Data Driven Plasma Simulations with PIConGPU info:eu-repo/semantics/lecture presentation

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

Brevis, Felipe Landeros, Pedro Lindner, Jürgen Kakay, Attila Körber, Lukas 2024-10-17 This archive contains the raw data as well as the Tetrax (www.tetrax.software) Jupyter notebooks to produce the data that has been analyzed and used for the manuscript: Curvature-induced parity loss and hybridization of magnons: Exploring the connection of flat and tubular magnetic shells, Physical Review B 110, 134428 (2024), published on 17 October, 2024. https://rodare.hzdr.de/record/3233 10.14278/rodare.3233 oai:rodare.hzdr.de:3233 url:https://www.hzdr.de/publications/Publ-39826 url:https://www.hzdr.de/publications/Publ-39818 doi:10.14278/rodare.3232 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode curvature-induced spin waves mignons hybridization parity Data publication: Curvature-induced parity loss and hybridization of magnons: Exploring the connection of flat and tubular magnetic shells info:eu-repo/semantics/other dataset

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

Middleton, Maarit Pospiech, Solveig 2025-06-17 Format: HTML document (bookdown format) Purpose: This file provides a detailed description of the quality assurance and quality control (QA/QC) procedures applied to the plant concentration data collected during the study. It includes statistical analysis of reference materials, drift correction, uncertainty modeling, and evaluation of laboratory and field precision. Description of the File Content This file is part of a larger data publication and serves as a supplementary document to the main dataset. It outlines the QA/QC procedures used to ensure the accuracy, precision, and reliability of the plant element concentration data. The file includes: Reference Material (RM) Analysis: Statistical summaries of standard reference materials (SRMs) such as UPDEEP_SPRU_BARK_DRY, UPDEEP_SPRU_TWIG_DRY, and UPDEEP_SPRU_NEED_DRY. Comparison of pre-analyzed SRM values with actual measurements. X-charts showing the performance of SRMs over time and across different batches. Drift and Offset Correction: Visualizations of raw and corrected data for routine samples, laboratory, and field replicates. Analysis of data trends and correction of analytical drift and offsets. Uncertainty Modeling: Calculation of relative standard deviation (RSD) from laboratory replicates. Identification of elements with high uncertainty (RSD > 10%) that may be excluded from further analysis. Tables and visualizations showing the distribution of uncertainties across different plant tissues. Field Precision Assessment: Evaluation of field replicate data to assess variability in field sampling. Identification of elements with poor field precision (RSD > 20%). Data Preparation and Processing: R code for data loading, cleaning, and transformation. Use of packages such as data.table, ggplot2, dplyr, and kableExtra for data manipulation and visualization. Summary of Key Findings and Data Included Reference Materials: The file provides statistical summaries (mean, median, SD, RMAD) of SRMs used to monitor analytical performance. These are compared with actual measurements to assess accuracy and precision. Drift Correction: The data shows the effect of drift correction on plant concentration measurements, improving the consistency of results across different batches. Uncertainty Analysis: The RSD of laboratory replicates is calculated, and elements with high variability are flagged for exclusion. Field Precision: Field replicates are used to assess the variability of sampling and analysis in the field, with some elements showing poor precision. Visualizations: The file includes numerous plots (e.g., X-charts, scatter plots) to illustrate data trends, comparisons, and uncertainty levels. https://rodare.hzdr.de/record/3812 10.14278/rodare.3812 oai:rodare.hzdr.de:3812 eng doi:10.3030/776804 url:https://www.hzdr.de/publications/Publ-41483 doi:10.14278/rodare.3811 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode QAQC supplementary material plant data NEXT EU project NEXT Plant data: Results of Quality Assurance and Quality Control - Supplementary material for publications based on this data set info:eu-repo/semantics/other other

oai:rodare.hzdr.de:4062 2025-12-02T08:59:11Z user-rodare user-hzdr

Middleton, Maarit Pospiech, Solveig 2025-11-02 Format: HTML document (bookdown format) Purpose: This file provides a detailed description of the quality assurance and quality control (QA/QC) procedures applied to the plant concentration data collected during the study. It includes statistical analysis of reference materials, drift correction, uncertainty modeling, and evaluation of laboratory and field precision. Description of the File Content This file is part of a larger data publication and serves as a supplementary document to the main dataset. It outlines the QA/QC procedures used to ensure the accuracy, precision, and reliability of the plant element concentration data. The file includes: Reference Material (RM) Analysis: Statistical summaries of standard reference materials (SRMs) such as UPDEEP_SPRU_BARK_DRY, UPDEEP_SPRU_TWIG_DRY, and UPDEEP_SPRU_NEED_DRY. Comparison of pre-analyzed SRM values with actual measurements. X-charts showing the performance of SRMs over time and across different batches. Drift and Offset Correction: Visualizations of raw and corrected data for routine samples, laboratory, and field replicates. Analysis of data trends and correction of analytical drift and offsets. Uncertainty Modeling: Calculation of relative standard deviation (RSD) from laboratory replicates. Identification of elements with high uncertainty (RSD > 10%) that may be excluded from further analysis. Tables and visualizations showing the distribution of uncertainties across different plant tissues. Field Precision Assessment: Evaluation of field replicate data to assess variability in field sampling. Identification of elements with poor field precision (RSD > 20%). Data Preparation and Processing: R code for data loading, cleaning, and transformation. Use of packages such as data.table, ggplot2, dplyr, and kableExtra for data manipulation and visualization. Summary of Key Findings and Data Included Reference Materials: The file provides statistical summaries (mean, median, SD, RMAD) of SRMs used to monitor analytical performance. These are compared with actual measurements to assess accuracy and precision. Drift Correction: The data shows the effect of drift correction on plant concentration measurements, improving the consistency of results across different batches. Uncertainty Analysis: The RSD of laboratory replicates is calculated, and elements with high variability are flagged for exclusion. Field Precision: Field replicates are used to assess the variability of sampling and analysis in the field, with some elements showing poor precision. Visualizations: The file includes numerous plots (e.g., X-charts, scatter plots) to illustrate data trends, comparisons, and uncertainty levels. https://rodare.hzdr.de/record/4062 10.14278/rodare.4062 oai:rodare.hzdr.de:4062 eng doi:10.3030/776804 url:https://www.hzdr.de/publications/Publ-41483 doi:10.14278/rodare.3811 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode QAQC supplementary material plant data NEXT EU project NEXT Plant data: Results of Quality Assurance and Quality Control - Supplementary material for publications based on this data set info:eu-repo/semantics/other other

oai:rodare.hzdr.de: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: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: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: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: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: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: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: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:1480 2025-12-19T07:35:41Z software user-openfoam user-fwd user-hzdr user-energy user-rodare

Couteau, Arthur Colombo, Marco Kriebitzsch, Sebastian Parekh, Jigar Schlegel, Fabian Bilde, Kasper Gram Draw, Mazen Evdokimov, Ilya Hänsch, Susann Khan, Harris Krull, Benjamin Lehnigk, Ronald Li, Jiadong Lyu, Hongmei Meller, Richard Petelin, Gašper Tekavčič, Matej 2022-03-14 The HZDR multiphase addon contains additional code for the open-source CFD software OpenFOAM, released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method). Within the OpenFOAM library the multiphaseEulerFoam framework is used for this type of simulation. The addon contains a modified solver named HZDRmultiphaseEulerFoam with the full support of the HZDR baseline model set for polydisperse bubbly flows. In addition a solver dedicated to a hybrid modelling approach (dispersed and resolved interfaces, Meller, Schlegel and Lucas, 2021) named cipsaMultiphaseEulerFoam is provided with the addon. This solver has an interface to the multiphaseEulerFoam framework and utilizes all available interfacial models of it. General enhancements modified turbulent wall functions of Menter according to Rzehak and Kriebitzsch (2015) dynamic time step adjustment via PID controller HZDRmultiphaseEulerFoam bubble induced turbulence model of Ma et al. (2017) drag model of Ishii and Zuber (1979) without correction for swarm and/or viscous effects wall lubrication model of Hosokawa et al. (2002) additional breakup and coalescence models for class method according to Kusters (1991) and Adachi et al. (1994) degassing boundary condition (fvModel) lift force correlation of Hessenkemper et al. (2021) lift force correlation of Saffman (1965) as extended by Mei (1992). aspect ratio correlation of Ziegenhein and Lucas (2017) real pressure treatment via explicit turbulent normal stress according to Rzehak et al. (2021) GPU-based accelerated computation of coalescence and breakup frequencies for the models of Lehr et al. (2002) (Petelin et al., 2021) configuration files and tutorials for easy setup of baseline cases according to Hänsch et al. (2021) cipsaMultiphaseEulerFoam morphology adaptive modelling framework for predicting dispersed and resolved interfaces based on Eulerian multi-field two-fluid model compact momentum interpolation method according to Cubero et al. (2014), including virtual mass numerical drag according to Strubelj and Tiselj (2011) to describe resolved interfaces in a volume-of-fluid like manner n-phase partial elimination algorithm for momentum equations to resolve strong phase coupling (Meller, Schlegel and Lucas, 2021) free surface turbulence damping (Frederix et al., 2018) for k-ω SST - symmetric and asymmetric - according to Tekavčič et al. (2021) sub-grid scale modelling framework (Meller, Schlegel and Klein, 2021) additional LES models for the unclosed convective sub-grid scale term closure models for sub-grid surface tension term configuration files and tutorials for easy setup of hybrid cases This work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)" https://rodare.hzdr.de/record/1480 10.14278/rodare.1480 oai:rodare.hzdr.de:1480 eng url:https://www.hzdr.de/publications/Publ-32194 url:https://www.hzdr.de/publications/Publ-32356 url:https://www.hzdr.de/publications/Publ-32323 url:https://www.hzdr.de/publications/Publ-32161 doi:10.14278/rodare.767 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/openfoam url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 Multiphase Flow Numerical Simulations OpenFOAM CFD Finite volume method Baseline model Multi-field two-fluid model Eulerian-Eulerian model Momentum interpolation Partial elimination algorithm Free Surface HZDR Multiphase Addon for OpenFOAM info:eu-repo/semantics/other software .eJyVkM1ugkAURt9l1rZhHFAx6UKDIFR-nQFhYxAQhBEJYBCM795xZ1e2q3uTe_LdL-cOmiSJwZz7hLMZghBBEU2RKKDJeASqME3AnC1FF9ZpA-Z3RrdgDq5NUn9kQ1yDETgnbRiHbWjVyfF0Y8dLeNrHEXiMQBPVF0r3J5YPop1Lo5KSUHGvztnl_HE61fFiakg-b-Tp2JQKZJaxsPFoG7liR4qqtYvMIrLdmyRYbtzVK8u_Y_Vc7Q0p7fV8MXHXVY45aBmDRohCeLKFubeK-liJA4IbxqicKalsViQ5GxYmM6RTxw5w5mw8w3cGjQsgdczBZr-fHYqOsSjZwuqwk4-RrH0fiKZiuCR6ThV7C3-z-K9sKhhvc589bZ51vpnUmficaOAh6l15SU151fowW-ulU3qvvvCi-4db4a1bqfkCjx88FLqv.adwlsw.DdIDNPnHV_NCpdP5VVG7C_-4SjU