2026-04-19T06:07:41Z https://rodare.hzdr.de/oai2d

oai:rodare.hzdr.de:4360 2026-01-12T06:47:21Z openaire_data user-rodare user-zrt user-health

Kogler, Jürgen Donat, Cornelius Trommer, Johanna Kopka, Klaus Stadlbauer, Sven 2025-11-19 Analytical data for chemical synthesis (HPLC, NMR, HRMS), biological data for in vitro and in vivo evaluation (binding assays, small animal imaging) https://rodare.hzdr.de/record/4360 10.14278/rodare.4360 oai:rodare.hzdr.de:4360 eng doi:10.1186/s41181-025-00398-9 url:https://www.hzdr.de/publications/Publ-42251 url:https://www.hzdr.de/publications/Publ-42101 doi:10.14278/rodare.4142 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/zrt info:eu-repo/semantics/restrictedAccess FAP FAPI PET fluorescence-guided surgery noninvasive molecular imaging Data publication: Synthesis and preclinical evaluation of FAP-targeting radiotracers for PET and optical imaging info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1129 2026-02-27T10:10:01Z openaire_data user-hzdr user-rodare

Kroll, Florian Brack, Florian-Emanuel Bernert, Constantin Bock, Stefan Bodenstein, Elisabeth Brüchner, Kerstin Cowan, Thomas Gaus, Lennart Gebhardt, René Helbig, Uwe Karsch, Leonhard Kluge, Thomas Kraft, Stephan Krause, Mechthild Leßmann, Elisabeth Masood, Umar Meister, Sebastian Metzkes-Ng, Josefine Nossula, Alexej Pawelke, Jörg Pietzsch, Jens Püschel, Thomas Reimold, Marvin Rehwald, Martin Richter, Christian Schlenvoigt, Hans-Peter Schramm, Ulrich Umlandt, Marvin Elias Paul Ziegler, Tim Zeil, Karl Beyreuther, Elke 2021-08-23 Source data for all figures of publication: "Tumor irradiation in mice with a laser-accelerated proton beam". Folder structure according to figures. https://rodare.hzdr.de/record/1129 10.14278/rodare.1129 oai:rodare.hzdr.de:1129 eng url:https://www.hzdr.de/publications/Publ-33044 url:https://www.hzdr.de/publications/Publ-33047 url:https://www.hzdr.de/publications/Publ-33048 doi:10.14278/rodare.1128 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Laser acceleration TNSA Radiobiology FLASH Source Data: Tumour irradiation in mice with a laser-accelerated proton beam (Open Access) info:eu-repo/semantics/other dataset

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

Kroll, Florian Brack, Florian-Emanuel Bernert, Constantin Bock, Stefan Bodenstein, Elisabeth Brüchner, Kerstin Cowan, Thomas Gaus, Lennart Gebhardt, René Helbig, Uwe Karsch, Leonhard Kluge, Thomas Kraft, Stephan Krause, Mechthild Leßmann, Elisabeth Masood, Umar Meister, Sebastian Metzkes-Ng, Josefine Nossula, Alexej Pawelke, Jörg Pietzsch, Jens Püschel, Thomas Reimold, Marvin Rehwald, Martin Richter, Christian Schlenvoigt, Hans-Peter Schramm, Ulrich Umlandt, Marvin Elias Paul Ziegler, Tim Zeil, Karl Beyreuther, Elke 2022-03-11 Source data for all figures of publication: "Tumor irradiation in mice with a laser-accelerated proton beam". The folder structure is adapted to match the figures in the publication. https://rodare.hzdr.de/record/1476 10.14278/rodare.1476 oai:rodare.hzdr.de:1476 eng url:https://www.hzdr.de/publications/Publ-33048 doi:10.1038/s41567-022-01520-3 url:https://www.hzdr.de/publications/Publ-33047 url:https://www.hzdr.de/publications/Publ-33044 url:https://www.hzdr.de/publications/Publ-35835 doi:10.14278/rodare.1128 url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Laser acceleration TNSA Radiobiology FLASH Source Data: Tumour irradiation in mice with a laser-accelerated proton beam (Open Access) info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de: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:4596 2026-04-10T10:10:31Z openaire_data user-matter user-rodare

Tahmasbi, Hossein Knüpfer, Andreas Kühne, Thomas Dae-Song Mir Hosseini, Seyed Hossein 2026-04-09 Reference data and scripts generated for the "Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems" manuscript. https://rodare.hzdr.de/record/4596 10.14278/rodare.4596 oai:rodare.hzdr.de:4596 url:https://www.hzdr.de/publications/Publ-43234 doi:10.14278/rodare.4595 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 Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems info:eu-repo/semantics/other dataset

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

Wicaksono, Damar Canggih Hecht, Michael 2025-01-21 UQTestFuns is an open-source Python3 library of test functions commonly used within the applied uncertainty quantification (UQ) community. Specifically, the package provides: an implementation with minimal dependencies (i.e., NumPy and SciPy) and a common interface of many test functions a single entry point collecting test functions and their probabilistic input specifications in a single Python package an opportunity for an open-source contribution, supporting the implementation of new test functions or posting reference results. In short, UQTestFuns is an homage to the Virtual Library of Simulation Experiments (VLSE). v0.6.0 is a minor release that further expands the library of available UQ test functions and introduces several bug fixes. This update introduces 19 new test functions, bringing the total to 75. See the complete CHANGELOG. v0.5.0 is a minor release that further expands the library of available UQ test functions. This update introduces 14 new test functions, bringing the total to 56. https://rodare.hzdr.de/record/3420 10.14278/rodare.3420 oai:rodare.hzdr.de:3420 eng doi:10.21105/joss.05671 url:https://www.hzdr.de/publications/Publ-37736 url:https://www.hzdr.de/publications/Publ-37735 doi:10.14278/rodare.2530 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/MIT python uncertainty-quantification benchmark sensitivity-analysis metamodeling reliability-analysis UQTestFuns: A Python3 Library of Uncertainty Quantification (UQ) Test Functions info:eu-repo/semantics/other software

oai:rodare.hzdr.de: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:998 2021-06-01T06:08:28Z openaire_data user-rodare

Li, Jiang Rana, Rakesh Zhu, Liguo Liu, Cangli Schneider, Harald Pashkin, Oleksiy 2021-05-31 - Raw experimental data of the measured THz and OPA spectra - Origin file with the experimentally measured THz conversion efficienbcy as a function of the OPA fluence - Matlab program for the simulation of the THz generation process in DSTMS https://rodare.hzdr.de/record/998 10.14278/rodare.998 oai:rodare.hzdr.de:998 eng url:https://www.hzdr.de/publications/Publ-32684 url:https://www.hzdr.de/publications/Publ-32670 doi:10.14278/rodare.997 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Dataset and simulation program for "Limitation of THz conversion efficiency in DSTMS pumped by intense femtosecond pulses" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:184 2024-08-13T12:23:29Z openaire_data user-ecfunded user-rodare user-ibc user-fwi

Vogel, Karin Heintze, Cornelia Chekhonin, Paul Akhmadaliev, Shavkat Altstadt, Eberhard Bergner, Frank 2019-09-11 Dataset on Relationships between primary radiation damage, irradiation-induced microstructure and hardening of ion-irradiated Fe-Cr and ODS Fe-Cr alloys including SRIM calculations, nanoindentation, TEM and modelling. https://rodare.hzdr.de/record/184 10.14278/rodare.184 oai:rodare.hzdr.de:184 eng info:eu-repo/grantAgreement/EC/FP7/604862/ url:https://www.hzdr.de/publications/Publ-29653 doi:10.14278/rodare.183 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Dataset on Relationships between primary radiation damage, irradiation-induced microstructure and hardening of ion-irradiated Fe-Cr and ODS Fe-Cr alloys info:eu-repo/semantics/other dataset

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:2057 2023-01-23T14:42:52Z openaire_data user-rodare user-casus

Dornheim, Tobias Moldabekov, Zhandos Vorberger, Jan Böhme, Maximilian Dornheim, Tobias Moldabekov, Zhandos Vorberger, Jan 2023-01-04 This is the archived datasets used for the publication in the article: Ab initio path integral Monte Carlo simulations of hydrogen snapshots at warm dense matter conditions. The dataset also contains the data-analysis python scripts. https://rodare.hzdr.de/record/2057 10.14278/rodare.2057 oai:rodare.hzdr.de:2057 doi:10.48550/arXiv.2207.14716 url:https://www.hzdr.de/publications/Publ-36059 url:https://www.hzdr.de/publications/Publ-34418 doi:10.14278/rodare.2056 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Path-Integral Monte-Carlo Warm Dense Hydrogen Many-body physics Data Publication: Ab initio path integral Monte Carlo simulations of hydrogen snapshots at warm dense matter conditions info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4473 2026-02-02T10:59:20Z openaire_data user-fwi user-rodare

Neumann, Bruno Henschke, Andreas Nikolic, Morik Fähler, Sebastian 2026-01-27 Data publication for the manuscript entitled "Thermoelastic harvesting of low-grade waste-heat". https://rodare.hzdr.de/record/4473 10.14278/rodare.4473 oai:rodare.hzdr.de:4473 url:https://www.hzdr.de/publications/Publ-42875 doi:10.14278/rodare.4472 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data and code publication: Thermoelastic harvesting of low-grade waste-heat info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2666 2025-04-07T13:37:37Z openaire_data user-matter user-rodare user-elbe user-pelbe

Banhart, John Yang, Zi Guo, Qianning Liu, Meng Butterling, Maik Liedke, Maciej Oskar Hirschmann, Eric Wagner, Andreas 2023-08-24 Experimentdaten der Positronen-Annihilationsspektroskopie https://rodare.hzdr.de/record/2666 10.14278/rodare.2666 oai:rodare.hzdr.de:2666 eng doi:10.17815/jlsrf-2-58 doi:10.1002/adem.202300490 url:https://www.hzdr.de/publications/Publ-38490 url:https://www.hzdr.de/publications/Publ-38489 doi:10.14278/rodare.2665 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/pelbe url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode positron annihilation lifetime spectroscopy Al-Mg alloy ageing vacancy Data publication: In Situ Heating Positron Annihilation Lifetime Spectroscopy Experiments on an Al–Mg Alloy info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:824 2021-03-02T08:49:40Z user-fwi user-rodare

Alsaadawi, Yara Eichler-Volf, Anna Heigl, Michael Zahn, Peter Albrecht, Manfred Erbe, Artur 2021-03-01 Microscope video of capped Janus particles propelled in Hydrogen peroxide under influence of varying magnetic fields. The caps compose of ferromagnetic (Co) and paramagnetic (Pd, H2O2 catalyst) elements carefully deposited onto one hemisphere of silica particles, which will later exhibit aligned magnetic moments upon saturation in 1 T magnetic field. The videos demonstrate different motion profiles depending on cluster shapes, with the later determined by cap-cap interaction of individual particles. https://rodare.hzdr.de/record/824 10.14278/rodare.824 oai:rodare.hzdr.de:824 eng url:https://www.hzdr.de/publications/Publ-32363 url:https://www.hzdr.de/publications/Publ-32313 doi:10.14278/rodare.823 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Control Over Self-Assembled Janus Clusters by the Strength of Magnetic Field in H₂O₂ info:eu-repo/semantics/other other

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: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:830 2021-03-09T11:15:26Z openaire_data user-rodare

Fichter, Sebastian Radoske, Thomas Ikeda-Ohno, Atsushi 2021-03-04 Collected frames of SC-XRD measurement of crystal consisting of U13 cluster. Refined cif file is also included. https://rodare.hzdr.de/record/830 10.14278/rodare.830 oai:rodare.hzdr.de:830 url:https://www.hzdr.de/publications/Publ-32371 url:https://www.hzdr.de/publications/Publ-32370 doi:10.14278/rodare.829 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess SC-XRD data of U13 cluster info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:354 2023-08-21T14:49:44Z openaire_data user-rodare

Fridman, Emil 2020-06-03 Dataset for dynamic simulation of the CEFR control rod drop experiments https://rodare.hzdr.de/record/354 10.14278/rodare.354 oai:rodare.hzdr.de:354 doi:10.1016/j.anucene.2020.107707 url:https://www.hzdr.de/publications/Publ-31104 url:https://www.hzdr.de/publications/Publ-31096 url:https://www.hzdr.de/publications/Publ-37426 doi:10.14278/rodare.353 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Dataset for dynamic simulation of the CEFR control rod drop experiments info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3346 2025-10-22T03:06:32Z openaire_data user-fwi user-rodare user-matter

El-Said, Ayman S. Facsko, Stefan 2024-12-18 Data for the manuscript "Fine_Tuning_of_Optical_Properties_by_Selective_Stopping_of_Energetic_Heavy_Ions" by Ayman S. El-Said, Zamzam Ibnu-Sina, Shavkat Akhmadaliev, René Heller ,René Hübner, Michael Sorokin, Stefan Facsko and Christina Trautmann raw data for: - optical UV-VIS measurements - RBS measurements - SRIM simulations - TEM images https://rodare.hzdr.de/record/3346 10.14278/rodare.3346 oai:rodare.hzdr.de:3346 doi:10.17815/jlsrf-3-159 url:https://www.hzdr.de/publications/Publ-40299 doi:10.14278/rodare.3345 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess GaP SHI RBS UV-VIS SRIM Data to "Fine Tuning of Optical Properties by Selective Stopping of Energetic Heavy Ions 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:2025 2025-06-03T14:53:57Z openaire_data user-rodare

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

oai:rodare.hzdr.de:326 2020-10-30T12:55:12Z openaire_data user-rodare

Estevenon, Paul Causse, Jeremy Szenknect, Stéphanie Welcomme, Eléonore Mesbah, Adel Moisy, Philippe Poinssot, Christophe Dacheux, Nicolas 2020-05-12 Thorite, ThSiO4 with Zircon structure type, is one of the most abundant natural source of thorium on earth. While actinides are known to form nanoparticles in silicate medium, no direct link between those colloids and crystalline form of thorite was evidenced until now. Here we show that thorite can be produced in experimental conditions close to environmental pH and temperature. Thanks to in-situ Small and Wide Angle X-rays Scattering (SWAXS) measurements, colloids of a few nanometers are first evidenced for low reaction time. These colloids exhibit elongated shapes and finally tend to aggregate after the size has reached 10 nm. Once aggregated, the system goes through a maturation step finishing with the emergence of nanocrystallites presenting thorite zircon structure. This maturation step is longer when the reaction temperature is decreased highlighting kinetic considerations. The conclusions of this article have potential implications in the paragenesis of Th minerals deposits, but also in the behaviour of Th and, by analogy, tetravalent actinides in the environment. The Th-silicate colloids evidenced in this work have, at low temperature and at near neutral pH, a long-term stability and a morphology in favor of a high mobility in groundwaters. If these species are formed in more diluted media, this could be problematic regarding to the spreading of Th and, by analogy of others tetravalent actinides in the environment. https://rodare.hzdr.de/record/326 10.14278/rodare.326 oai:rodare.hzdr.de:326 eng url:https://www.hzdr.de/publications/Publ-31041 url:https://www.hzdr.de/publications/Publ-30965 doi:10.14278/rodare.325 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess In situ study of the synthesis of thorite (ThSiO4) under environmental representative conditions info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de:4185 2025-12-19T13:30:26Z openaire_data user-health user-rodare user-oncoray

Kieslich, Aaron Markus Singh, Yerik Palkowitsch, Martina Starke, Sebastian Hennings, Fabian Troost, Esther Gera Cornelia Krause, Mechthild Bensberg, Jona Lühr, Armin Heinzelmann, Feline Bäumer, Christian Timmermann, Beate Depauw, Nicolas Shih, Helen A. Löck, Steffen 2025-12-16 This repository contains the outputs, model checkpoints and result data of our deep-learning-based experiments for the approximation of Monte-Carlo-simulated linear energy transfer distributions and uncertainty estimation, which build the foundation for the corresponding article. https://rodare.hzdr.de/record/4185 10.14278/rodare.4185 oai:rodare.hzdr.de:4185 url:https://www.hzdr.de/publications/Publ-42451 url:https://www.hzdr.de/publications/Publ-42419 doi:10.14278/rodare.4184 url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode proton radiotherapy linear energy transfer deep learning pencil beam scanning double scattering uncertainty quantification Data publication: Deep learning for dose-averaged linear energy transfer estimation in pencil-beam scanning and double scattering proton plans with uncertainty-aware external validation info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1991 2022-12-05T10:41:02Z openaire_data user-fwi user-rodare

Sequeira, Miguel Djurabekova, Flyura Nordlund, Kai Mattei, Jean-Gabriel Monnet, Isabelle Grygiel, Clara Alves, Eduardo Lorenz, Katharina 2022-12-02 Two Temperature Model - Molecular Dynamics (TTM-MD) simulations describing the interaction of Swift Heavy Ions (0.35-0.54 MeV/amu Xe, 0.6 and 5.8 MeV/amu Pb, and 3.8 MeV/amu U ions. The simulations are discussed in: Sequeira, M. C., Djurabekova, F., Nordlund, K., Mattei, J.-G., Monnet, I., Grygiel, C., Alves, E., Lorenz, K., Examining Different Regimes of Ionization-Induced Damage in GaN Through Atomistic Simulations. Small 2022, 2102235. https://doi.org/10.1002/smll.202102235 Each zip file contains the input and output corresponding to each ion simulation. The input and output files are those used and generated by PARCAS 5.22 (https://gitlab.com/acclab/parcas). The radial energy profile deposited by the ion, as calculated within the TTM, can be found in the in/track.in file. The file contains two columns: one with the distance to the ion trajectory (in Angstrom) and another with the energy per atom (in eV/atom). For additional information on the simulations (e.g. bulk vs surface), please refer to the methods section of the reference above. https://rodare.hzdr.de/record/1991 10.14278/rodare.1991 oai:rodare.hzdr.de:1991 doi:10.1002/smll.202102235 url:https://www.hzdr.de/publications/Publ-35645 url:https://www.hzdr.de/publications/Publ-35270 doi:10.14278/rodare.1990 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Defects GaN Molecular Dynamics Radiation Recrystallization Two-Temperature Model Data publication: Examining different regimes of ionization-induced damage in GaN through atomistic simulations info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3746 2025-05-15T09:35:29Z openaire_data openaire_data openaire_data openaire_data openaire_data user-rodare

Fiedler, Lenz Cangi, Attila 2025-05-14 Boron data set for machine learning applications This dataset contains DFT inputs, outputs, LDOS data and bispectrum descriptor vectors for an α-rhombohedral boron cell of 144 atoms at room temperature and ambient mass density. All simulations have been performed at an LDOS converged k-grid of 4x4x4 k-points. This dataset contains one .zip file for each of its five type of data (bispectrum descriptors, LDOS, DFT inputs, DFT outputs and trained models). Authors: - Fiedler, Lenz (HZDR / CASUS) - Cangi, Attila (HZDR / CASUS) Affiliations: HZDR - Helmholtz-Zentrum Dresden-Rossendorf CASUS - Center for Advanced Systems Understanding Dataset description - Total size: 26 GB - System: B144 - Temperature(s): 298K - Mass density(ies): 2.483 gcc - Crystal Structure: amorphous (material mp-160 in the materials project) - Number of atomic snapshots: 15 - Contents: - ideal crystal structure: no - MD trajectory: no - Atomic positions: no - DFT inputs: yes - DFT outputs (energies): yes - SNAP vectors: yes - dimensions: 108x108x35x94 (last dimension: first three entries are x,y,z coordinates, data size is 91) - units: a.u. - LDOS vectors: yes - dimensions: 108x108x35x241 - units: 1/(eV*Angstrom^3) - trained networks: yes Dataset structure A .zip file is included for each for each of its five type of data: - ldos.zip: holds the LDOS vectors (one HDF5 file per snapshot) - bispectrum.zip: holds the bispectrum fingerprint vectors (one HDF5 file per snapshot) - dft_outputs: holds the outputs from the DFT calculations, i.e. energies and simulation parameters in a .json format (one per snapshot) - dft_inputs: holds the inputs for the DFT calculations, in the form of a QE input file (one per snapshot) - models: holds five trained NN models for the data set https://rodare.hzdr.de/record/3746 10.14278/rodare.3746 oai:rodare.hzdr.de:3746 url:https://www.hzdr.de/publications/Publ-41336 url:https://www.hzdr.de/publications/Publ-40059 doi:10.14278/rodare.3745 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Boron data set for machine learning applications info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1212 2024-08-14T10:37:52Z openaire_data user-rodare user-topflow

Mohseni, Ehsan Eduarda Chiamulera, Maria Reinecke, Sebastian Felix Hampel, Uwe 2021-10-18 raw data and processed data for the publication. https://rodare.hzdr.de/record/1212 10.14278/rodare.1212 oai:rodare.hzdr.de:1212 url:https://www.hzdr.de/publications/Publ-33261 url:https://www.hzdr.de/publications/Publ-33258 doi:10.14278/rodare.1211 url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/topflow info:eu-repo/semantics/closedAccess Bubble formation Sub-millimeter orifice Gas reservoir Bubble dynamics Modeling Data for: Bubble formation from sub-millimeter orifices: experimental analysis and modeling info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de:1340 2021-12-20T08:57:04Z openaire_data user-rodare

Moldabekov, Zhandos Aldakul, Y. K. Bastykova, N. K. Sundar, S. Cangi, Attila 2021-12-17 The data for the spectrum of the density fluctuations from MD simulations https://rodare.hzdr.de/record/1340 10.14278/rodare.1340 oai:rodare.hzdr.de:1340 url:https://www.hzdr.de/publications/Publ-33453 url:https://www.hzdr.de/publications/Publ-33724 doi:10.14278/rodare.1339 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode plasma physics strongly correlated plasmas complex plasmas Data publication: Higher harmonics in complex plasmas with alternating screening info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de: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: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:3700 2025-12-04T07:37:01Z openaire_data user-rodare

Voigt, Wolfgang Brendler, Vinzenz 2025-04-10 Rohdaten aus isopiestischen Messungen (CSV-Tabelle) https://rodare.hzdr.de/record/3700 10.14278/rodare.3700 oai:rodare.hzdr.de:3700 doi:10.1007/s10953-025-01437-4 url:https://www.hzdr.de/publications/Publ-40952 url:https://www.hzdr.de/publications/Publ-40917 doi:10.14278/rodare.3699 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Water activity isopiestic ternary aqueous solutions MgCl2 CsCl increased temperature Pitzer Data publication: Isopiestic Measurements at High Temperatures and Concentrations: IV. The Ternary System CsCl–MgCl2 –H2O at 428 K 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:3757 2025-12-04T07:49:21Z openaire_data user-rodare

Chakankar, Mital Vivek Mongoljiibuu, Shine-Od Matys, Sabine Boelens, Peter Salces, Aliza Marie Kelly, Norman Pollmann, Katrin Rudolph, Martin 2025-05-20 The process waters generated during the recycling of spent batteries are an important source of various metals such as Al, Li, Mn, Ni, and Co. Despite low metal concentrations, this stream is a promising secondary source of these critical metals. In this work, the recovery of metal ions from battery recycling process waters by the bioionflotation process was investigated with rhamnolipid as a flotation reagent. In this context, the metal binding affinity of rhamnolipid was investigated by means of surface tension analysis, isothermal titration calorimetry (ITC), and zeta potential analysis. The values obtained for the dynamic surface tension analysis and the binding constant from ITC are relatable and considered in relation to the metal binding affinity of rhamnolipids, demonstrating the affinity order is as Al(III) > Mn(II) > Ni(II) > Co(II) >Li(I). Our findings reveal a rhamnolipid metal interaction and support a surface tension-based approach to predict the metal affinity, thus providing important fundamental information. The bioionflotation results showed an effective recovery of 91% for Al(III) at pH 8 and 0.85 mM rhamnolipid concentration. Hence, the bioionflotation approach offers an eco-friendly way to selectively recover metals from battery process water, contributing to sustainable resource management and reducing environmental impact. https://rodare.hzdr.de/record/3757 10.14278/rodare.3757 oai:rodare.hzdr.de:3757 url:https://www.hzdr.de/publications/Publ-41362 url:https://www.hzdr.de/publications/Publ-41361 doi:10.14278/rodare.3756 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Battery rhamnolipid NMC metal binding water recovery isothermal titration calorimetry Data publication: Evaluation of biosurfactant-based ion flotation process for metal separation and recovery from battery recycling process waters info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1306 2021-12-13T10:03:22Z user-rodare

Rafiezadeh Shahi, Kasra Rasti, Behnood Ghamisi, Pedram Scheunders, Paul Gloaguen, Richard 2021-10-12 Remote sensing data is contaminated with different types of noise that can severely affect the analysis of this data. Generally, in modern treatment chains of satellite and aerial data, denoising techniques are applied to atmospherically corrected images prior to further analysis (e.g., classification). However, since the noise contaminates the measured radiance at the sensor, it can influence the atmospheric correction in itself and consequently the remaining of the processing chain. In this paper, we compare the performance of a denoising technique, when applied before or after atmospheric correction. Our observations challenge the current de facto paradigm of denoising in a processing chain of spaceborne and airborne remotely sensed images. https://rodare.hzdr.de/record/1306 10.14278/rodare.1306 oai:rodare.hzdr.de:1306 doi:10.1109/IGARSS47720.2021.9553263 url:https://www.hzdr.de/publications/Publ-33625 doi:10.14278/rodare.1305 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess When is the Right Time to Apply Denoising? info:eu-repo/semantics/other image-figure

oai:rodare.hzdr.de:1426 2022-03-25T09:51:44Z openaire_data user-casus user-rodare

Ghosh,Subrata Senapati, Abhishek Chattopadhyay, Joydev Hens, Chittaranjan Ghosh, Dibakar 2022-01-28 This contains all the python script and related data required for reproducing the results presented in the article https://rodare.hzdr.de/record/1426 10.14278/rodare.1426 oai:rodare.hzdr.de:1426 url:https://www.hzdr.de/publications/Publ-34173 url:https://www.hzdr.de/publications/Publ-34174 doi:10.14278/rodare.1425 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Infectious disease modelling Test-kit Complex network Intervention strategy Data publication: Optimal test-kit-based intervention strategy of epidemic spreading in heterogeneous complex networks info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de:1282 2021-11-30T07:46:51Z openaire_data user-rodare

Wodtke, Robert Löser, Reik 2021-11-29 radio-TLC, radio-HPLC, radio-SDS, in vitro autoradiography https://rodare.hzdr.de/record/1282 10.14278/rodare.1282 oai:rodare.hzdr.de:1282 url:https://www.hzdr.de/publications/Publ-33487 url:https://www.hzdr.de/publications/Publ-32383 doi:10.14278/rodare.1281 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Data to 18F-AW09 info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3708 2025-04-15T07:14:07Z software software software software software software user-rodare

Pinto Ramos, David Ignacio 2025-04-14 Data used to generate the figures of the paper. .- Data_Fronts_1 .- FK_run_1 .- LC_run_1 Code for the numerical simulations that produce the data analyzed. .- Integrator.py (module containing functions) .- Integra_General_paralelo_1.py (runnable script to generate data Figs. 2-4) .- Integra_FK_paralelo_1.py (runnable script to generate data Fig. 5) .- Integra_LC_paralelo_1.py (runnable script to generate data Fig. 6) Code for the data analysis and creation of the figures. .- velocities_General_1.py (runnable script to generate Figs. 2-4 from data) .- velocities_FK_1.py (runnable script to generate Fig. 5 from data) .- velocities_LC_1.py (runnable script to generate Fig. 6 from data) https://rodare.hzdr.de/record/3708 10.14278/rodare.3708 oai:rodare.hzdr.de:3708 doi:10.1016/j.physd.2025.134665 doi:10.48550/arXiv.2411.15055 url:https://www.hzdr.de/publications/Publ-41035 url:https://www.hzdr.de/publications/Publ-39976 doi:10.14278/rodare.3707 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data and code publication: Exact expression for the propagating front velocity in nonlinear discrete systems under nonreciprocal coupling info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3635 2025-03-21T08:41:11Z openaire_data user-rodare user-energy

Reinhardt, Nils Gutzmer, Jens 2025-03-20 Electronic supplementary material related to the dissertation entitled “Mineral systems analysis of magmatic-hydrothermal skarn mineralization in the Schwarzenberg District, Germany” authored by Nils Reinhardt. The data contains the electronic supplementary material for chapters 3, 4, and 5, respectively, as noted in the respective file names. European Social Fund, grant no. 100339454 awarded to Mathias Burisch https://rodare.hzdr.de/record/3635 10.14278/rodare.3635 oai:rodare.hzdr.de:3635 eng url:https://www.hzdr.de/publications/Publ-41124 doi:10.14278/rodare.3634 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess http://www.opendatacommons.org/licenses/odbl/1.0/ Schwarzenberg District magmatic-hydrothermal skarn mineralization Mineral systems Electronic Supplementary Data of the Doctoral Thesis of Nils Reinhardt entitled "Mineral systems analysis of magmatic-hydrothermal skarn mineralization in the Schwarzenberg District, Germany" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4187 2025-12-22T13:21:22Z openaire_data user-matter user-rodare

Steinbach, Peter 2025-12-15 This dataset simple_ARES.csv was generated with the open-source cheetah simulator for didactical purposes. To reproduce the dataset, do the following in a python 3.12 environment: 1. source .venv/bin/activate 2. uv sync 3. python ./generate_simple.py # or execute all cells in ./generate_simple.ipynb https://rodare.hzdr.de/record/4187 10.14278/rodare.4187 oai:rodare.hzdr.de:4187 url:https://www.hzdr.de/publications/Publ-42455 doi:10.14278/rodare.4186 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 machine learning particle accelerators beam control beam quality A dataset for exploring regression and classification of particle accelerator control and resulting beam positions 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:2353 2023-10-26T10:17:01Z openaire_data user-rodare

Abdussalam, Wildan 2023-06-26 This project consists of forecasting methods for the datasets of Covid 19 for Sachsen and Czechia, and the associated data. In a live setting it is automatically updated via a CI/CD pipeline (e.g. GitLab), and uploaded to a database that can be then accessed by a webserver backend, or a similar data consumer. This dataset has served as a basis for Where2Test website forecast dashboards for Sachsen and Czechia. https://rodare.hzdr.de/record/2353 10.14278/rodare.2353 oai:rodare.hzdr.de:2353 url:https://www.hzdr.de/publications/Publ-37157 doi:10.14278/rodare.2352 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode COVID19 Forecasting methods for the datasets of Covid 19 for Sachsen and Czechia info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:211 2021-11-02T19:03:28Z openaire_data user-rodare

Lösch, Henry Raiwa, Manuel Jordan, Norbert Steppert, Michael Steudtner, Robin Stumpf, Thorsten Huittinen, Nina Maria 2020-01-06 In this study the complexation of U(VI) with orthosilicic acid (H4SiO4) between pH 3.5 and 5 with electrospray ionization mass spectrometry (ESI‒MS) and laser‒induced luminescence spectroscopy was comprehensively characterized. The ESI‒MS experiments performed at a total silicon concentration of 5∙10‒5 M (exceeding the solubility of amorphous silica at both pH‒values) revealed the formation of oligomeric sodium‒silicates in addition to the UO2OSi(OH)3+ species. For the luminescence spectroscopic experiments (25 °C), the U(VI) concentration was fixed at 5∙10‒6 M, the silicon concentration was varied between 1.3∙10‒4 ‒ 1.3∙10‒3 M (reducing the formation of silicon oligomers) and the ionic strength was kept constant at 0.2 M NaClO4. The results confirmed the formation of the aqueous UO2OSi(OH)3+ complex. The conditional complexation constant at 25 °C, log *β = ‒0.31± 0.24, was extrapolated to infinite dilution using the Davies equation, which led to log *β0 = ‒0.06 ± 0.24. Further experiments at different temperatures (1 – 25 °C) allowed the calculation of the molal enthalpy of reaction ΔrHm0 = 45.8 ± 22.5 kJ∙mol‒1 and molal entropy of reaction ΔrSm0 = 152.5 ± 78.8 J∙K‒1∙mol‒1 using the van’t Hoff equation, corroborating an endothermic and entropy driven complexation process. https://rodare.hzdr.de/record/211 10.14278/rodare.211 oai:rodare.hzdr.de:211 eng url:https://www.hzdr.de/publications/Publ-29643 doi:10.14278/rodare.210 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode luminescence silicates Uranium(VI) complexation thermodynamic constants temperature dependent Temperature‒dependent luminescence spectroscopic and mass spectrometric investigations of U(VI) complexation with aqueous silicates in the acidic pH‒range info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de:2369 2023-09-06T14:49:26Z openaire_data user-rodare

Kumar, Sandeep Tahmasbi, Hossein Ramakrishna, Kushal Lokamani, Mani Nikolov, Svetoslav Tranchida, Julien Wood, Mitchell A. Cangi, Attila 2023-07-18 Here, we provide FitSNAP and DAKOTA input scripts and DFT-MD training data sets used for the generation of transferable SNAP ML-IAP for aluminum. https://rodare.hzdr.de/record/2369 10.14278/rodare.2369 oai:rodare.hzdr.de:2369 url:https://www.hzdr.de/publications/Publ-37282 url:https://www.hzdr.de/publications/Publ-36890 doi:10.14278/rodare.2368 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess Machine Learning Potential Warm Dense Matter Training scripts and input data sets: Transferable Interatomic Potential for Aluminum from Ambient Conditions to Warm Dense Matter info:eu-repo/semantics/other dataset

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

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

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

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

oai:rodare.hzdr.de:2811 2025-02-19T08:19:34Z software user-energy user-fwd user-rodare

Hessenkemper, Hendrik Wang, Lantian Lucas, Dirk Shiyong, Tan Rui, Ni Ma, Tian 2024-04-17 Software for 3D tracking of deformable bubbles in swarms https://rodare.hzdr.de/record/2811 10.14278/rodare.2811 oai:rodare.hzdr.de:2811 url:https://www.hzdr.de/publications/Publ-38982 url:https://www.hzdr.de/publications/Publ-38980 doi:10.14278/rodare.2810 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode 3D Lagrangian bubble tracking Bubble swarms Deformable bubbles Deep learning Software publication: 3D detection and tracking of deformable bubbles in swarms with the aid of deep learning models info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1291 2024-08-09T12:53:27Z openaire_data user-ecfunded user-rodare user-elbe user-telbe

Deinert, Jan-Christoph Kovalev, Sergey Tielrooij, Klaas-Jan 2021-12-15 Research data for used for the publication: "Grating-graphene metamaterial as a platform for terahertz nonlinear photonics". Datasets measured at the TELBE accelerator-based THz source are measured using a pulse-resolved detection scheme. The data points are sorted according to the absolute arrival time measurement. The four columns hold the following data: 1) absolute time in picoseconds 2) Signal of the emitted THz measured by electro-optic sampling. 3) Relative THz intensity measured using a pyroelectric detector. THz intensity is proportional to absolute power of the signal. 4) Data corresponding to the relative timing of each pulse. Not used for further analysis of the data. The filenumbers of the measurements used for the figures are as follows: Fig. 1a: File 003 Fig. 1b-c: File 043 Fig. 1d-e: File 086 Fig. 2a: Files 080..088 (bare graphene) and 031..049 (grating) Fig. 2b: same Fig. 3a: Files 050..057 Fig. 3c: Files 076..079 Fig. 4. Table top measurements; no file numbers Supp. Fig. 2: File 030 Supp. Fig. 4: File 024..025 Supp. Fig. 7a: Files 031..034 and 036..041 Supp. Fig. 7b: Files 080..083 Supp. Fig. 7d: Files 031..049 and 080..086 Supp. Fig. 9a: Files 031..046 Supp. Fig. 9b: Files 080..085 and 087..088 The datasets measured using a table-top laser source contain two columns. The first one is the position of the optical delay stage in mm that has to be multiplied by 6.667 ps/mm to define the time axis. The second column contains the THz signal as measured using electro-optic sampling. https://rodare.hzdr.de/record/1291 10.14278/rodare.1291 oai:rodare.hzdr.de:1291 eng info:eu-repo/grantAgreement/EC/H2020/737038/ info:eu-repo/grantAgreement/EC/H2020/804349/ url:https://www.hzdr.de/publications/Publ-33671 url:https://www.hzdr.de/publications/Publ-31564 doi:10.14278/rodare.1290 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/telbe info:eu-repo/semantics/restrictedAccess Terahertz Graphene Ultrafast Metamaterial High harmonics Research data: Grating-graphene metamaterial as a platform for terahertz nonlinear photonics info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de:4328 2026-01-07T13:40:05Z openaire_data user-rodare user-energy

Pospiech, Solveig Middleton, Maarit 2026-01-07 1. Overview This repository contains the **final, cleaned chemistry data** that were produced from the 2019 Raja field campaign of the Horizon 2020 Project NEXT. The data combine: Norway spruce needle transpired fluids concentrations for a set of selected elements. Corresponding soil‑till depth, point location, lithology and basic tree information. Element‑specific relative‑standard‑deviation (RSD) uncertainties that were calculated from laboratory‑derived uncertainty parameters. All files are provided in **CSV** format (UTF‑8, `,` separator) and/or the R programming language binary format RData. 2. Column description **Field Descriptions for Repository Metadata** #### **Point Identification & Metadata** 1. **PointID** – Unique identifier for each sampling point in the dataset (e.g., `NEXT-2019-193`). 2. **till_depth** – Depth of the till layer (in meters) at the sampling location. 3. **ID_num** – Numeric identifier for the point (e.g., `193`). 4. **grainsize_2mm_pct** – Percentage of grain size >2mm in the soil sample (proxy for rock fragments or coarse material). 5. **OM_thickness** – Thickness of organic matter (cm) in the soil profile. 6. **Soilwetness_by_photo** – Soil wetness category inferred from field photos (e.g., `mesic` = moist, `sub-xeric` = moderately dry). 7. **Soilwetness_cat** – Numeric ranking of soil wetness (likely 1–7, with `1` = driest, `7` = wettest). 8. **notes_by_photos** – Qualitative observations from site photos (e.g., "paludified areas nearby," "boulders present"). #### **Geophysical & Electrical Properties** 9. **conductivity_ph-acid** – Electrical conductivity (EC) measured after acidification (mS/m). 10. **conductivity_ph-initial** – Initial EC of the soil sample (mS/m). 11. **conductivity_pit** – EC measured in the field pit (mS/m). 12. **conductivity** – Conductivity averaged or processed for analysis (units vary). 13. **dielectric permittivity_pit** – Dielectric constant measured in the pit (proxy for soil moisture). 14. **dielectric permittivity** – Processed or averaged dielectric permittivity value. 15. **pH_initial** – Initial pH of the soil sample. 16. **pH_with acid** – pH after acidification (indicates buffer capacity). 17. **pore water conductivity** – EC of extracted pore water (mS/m). #### **Geospatial & Environmental Context** 18. **VTEM, TMI, APR** – Geophysical survey metrics (VTEM = Vertical Electromagnetic, TMI = Total Magnetic Intensity, APR = Airborne Radiometrics). 19. **Soilwetness** – Categorical soil wetness classification (e.g., `mesic`, `sub-xeric`). 20. **Soiltype** – Predominant soil type (e.g., `mineral soil`, `peat`). 21. **Naturetype** – Ecological classification (e.g., `Boreaaliset luonnonmetsät` = "Boreal natural forests"). 22. **TMI_class** – Categorization of Total Magnetic Intensity (e.g., `low`, `middle`, `high`). 23. **Lithology** – Original rock type classification (e.g., `Calcsilicate rocks`, `Mafic rocks`). 24. **Lithology_updated** – Updated lithological classification (refining earlier interpretations). 25. **Lithology_updated_Sol** – Lithology-specific to soil horizons (e.g., `Mafic rocks + quartzite`). 26. **Mineralization** – Qualitative assessment of mineralized zones (e.g., `barren`, `potential`, `min`). 27. **Deposit** – Type of geological deposit (e.g., `Till`, `hardpan layer`). 28. **TMI_cat, VTEM_cat, APPRES_cat** – Categorized geophysical survey results (e.g., `high` intensity). 29. **vegetation_class_EFTAS** – Vegetation classification (e.g., `mesic heath forest`). 30. **i.ID_num** – Redundant numeric ID (same as `ID_num`). 31. **x, y** – Cartesian coordinates for the sampling point. 32. **Fotos** – Reference to associated field photos (e.g., `104-0905`). #### **Site & Sampling Details** 33. **GeneralSiteDescription** – Textual description of terrain (e.g., "flat, paludified area starts 1m below"). 34. **ForestType** – Dominant forest type (e.g., `VMT` = "Välimetsä" [forest type code]). 35. **Soil_paludification** – Degree of peatland/wetland influence on soil (e.g., `not paludified`). 36. **Soil_nutrient_status** – Nutrient availability assessment (e.g., `normal`). 37. **Observations2019** – Anomalies or notes from 2019 fieldwork (e.g., "eggs of gnomes in upper podsol layer"). 38. **SedimentType** – Type of sediment observed (e.g., `Till`, `Sand`). 39. **SedimentGenesis** – Origin of sediment (e.g., `glacial`, `alluvial`). 40. **Pointtype** – Classification of sampling point (e.g., `replicate`). 41. **TMI_intensity, VTEM_intensity, APPRES_intensity** – Quantitative geophysical survey intensities. 42. **GPS-Easting, GPS-Northing** – Precise GPS coordinates for the point. 43. **SampleID** – Unique identifier for lab samples (e.g., `TF-NEXT-2019-193-NrS-tf-0A`). 44. **Date_full** – Timestamp of sample collection/analysis. #### **Geochemical Data** 45. **Al, B, Ba, Bi, ... Zn** – Concentrations of elements (likely in **ppm/mg/g**) measured via lab analysis (e.g., ICP-MS). *Note: These columns represent a full suite of geochemical elements (e.g., Aluminum, Barium, Lead, Zinc) critical for mineral exploration, environmental studies, or soil health assessments.* --- ### **Key Notes for Repository Users** - **Units**: Conductivity (mS/m), pH (unitless), dielectric permittivity (dimensionless), GPS coordinates (meters, local system). - **Categorical Fields**: Wetness, lithology, and mineralization use standardized codes (e.g., `mesic` vs. `xeric`). - **Geophysical Data**: VTEM/TMI/APR are airborne survey metrics linked to subsurface mineralization. - **Geochemical Data**: Elemental concentrations are essential for understanding soil fertility, contamination, or ore potential. --- ### **Suggested Use Cases** - **Mineral Exploration**: Cross-reference `Mineralization` + `TMI_cat` with elemental data (e.g., high `Fe`, `Cr` for mafic rocks). - **Soil Science**: Analyze `Soilwetness` vs. `dielectric permittivity` to model moisture regimes. - **Ecological Studies**: Correlate `vegetation_class_EFTAS` with `Soil_nutrient_status`. https://rodare.hzdr.de/record/4328 10.14278/rodare.4328 oai:rodare.hzdr.de:4328 eng url:https://www.hzdr.de/publications/Publ-41163 url:https://www.hzdr.de/publications/Publ-42687 url:https://www.hzdr.de/publications/Publ-41163 doi:10.14278/rodare.4327 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Norway spruce mineral exploration Finland transpired fluid Gold ore geology Data publication: Elemental data from transpired fluid from Norway spruce needles of the Horizon 2020 project NEXT info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:786 2024-08-14T10:40:24Z openaire_data user-fwd user-rodare user-topflow

Döß, Alexander Schubert, Markus Wiedemann, Philipp Schleicher, Eckhard Hampel, Uwe 2021-01-29 This data set is a supplementory to 'Dataset for: Flow morphologies in straight and bent horizontal pipes'. In addition to the void files (.v) given in the primary data sets we provide: - Underlying uncalibrated measurements files (.dat, .dati) - .log files for the corresponding .v-files - Calibration measurements - Geometry files for the used Wire-mesh sensors https://rodare.hzdr.de/record/786 10.14278/rodare.786 oai:rodare.hzdr.de:786 doi:10.14278/rodare.784 url:https://www.hzdr.de/publications/Publ-32249 doi:10.14278/rodare.785 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/topflow info:eu-repo/semantics/restrictedAccess Flow morphologies Horizontal Two-phase flow Wire-mesh sensor TERESA Dataset for: Flow morphologies in straight and bent horizontal pipes (uncalibrated measurement files) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1330 2024-08-08T10:37:25Z openaire_data user-rodare user-elbe

Mackova, Anna Havranek, Vladimir Fernandes, Sandrina Matejicek, Jiri Vilemova, Monika Holy, Vaclav Liedke, Maciej Oskar Martan, Jiri Vronka, Marek Potocek, Michal Babor, Petr Butterling, Maik Elsherif, Ahmed Gamal Attallah Hirschmann, Eric Wagner, Andreas 2021-12-17 Positron annihilation lifetime spectroscopy data taking for ELBE proposal POS19101496 by Sandrina Fernandes, Rez, CZ. Role of open volume defects in irradiated structural materials for fusion applications. Measurements performed 16.3.2019 at the MePS facility. https://rodare.hzdr.de/record/1330 10.14278/rodare.1330 oai:rodare.hzdr.de:1330 url:https://www.hzdr.de/publications/Publ-33025 url:https://www.hzdr.de/publications/Publ-33039 doi:10.14278/rodare.1329 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode positron annihilation lifetime spectroscopy SIMS alloys W Tungsten Data publication: Radiation damage evolution in pure W and W-Cr-Hf alloy caused by 5MeV Au ions in a broad range of dpa info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:4118 2025-11-14T06:54:45Z openaire_data user-rodare

Babich, Alexander Mutschke, Gerd Bashkatov, Aleksandr Rox, Hannes Eftekhari, Milad Yang, Xuegeng Eckert, Kerstin 2025-11-13 Raw data https://rodare.hzdr.de/record/4118 10.14278/rodare.4118 oai:rodare.hzdr.de:4118 doi:10.1103/PhysRevResearch.7.023189 url:https://www.hzdr.de/publications/Publ-41712 url:https://www.hzdr.de/publications/Publ-41265 doi:10.14278/rodare.4117 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Bubble dynamics Marangoni convection Thermocapillarity Data publication: Solutal Marangoni Convection at Growing Oxygen Bubbles during Water Electrolysis info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de:776 2025-08-06T14:39:17Z openaire_data user-fwd user-rodare user-topflow

Schleicher, Eckhard Schubert, Markus Hampel, Uwe Vishwakarma, Vineet 2021-01-28 The hydrodynamic data of a single-pass cross-flow sieve tray equipped in an air/water column mockup (0.8 m dia.) are provided here. The uploaded data were obtained after processing the two-phase dispersion data acquired by a novel multi-probe flow profiler. Effective froth height distribution, 3D liquid holdup distribution, and tracer-based data (i.e., appearance time distribution (ATD) parameters and liquid velocity map) are provided for the studied loadings. https://rodare.hzdr.de/record/776 10.14278/rodare.776 oai:rodare.hzdr.de:776 eng url:https://www.hzdr.de/publications/Publ-32198 url:https://www.hzdr.de/publications/Publ-32284 doi:10.14278/rodare.775 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/topflow info:eu-repo/semantics/restrictedAccess column tray two-phase cross-flow hydrodynamics effective froth height 3D liquid holdup tracer-based data Hydrodynamic data of an operational single-pass cross-flow sieve tray info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1710 2023-05-31T00:02:00Z openaire_data user-rodare

Da Assuncao Godinho, Jose Ricardo 2022-10-23 Grey-scale data for the two particulate samples: AllSizes (every particles <1 mm) and >710 (particle sizes 0.71-1 mm). 710 Grey is 16 bit AllSizes Grey is 8bit AllSizes Particles is binary https://rodare.hzdr.de/record/1710 10.14278/rodare.1710 oai:rodare.hzdr.de:1710 eng url:https://www.hzdr.de/publications/Publ-35806 url:https://www.hzdr.de/publications/Publ-35245 doi:10.14278/rodare.1709 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode X-ray computed tomography mineralogy MSPaCMAn Quantification Classification 3d image Data 4 paper: 3D quantitative mineral characterization of particles using X-ray computed tomography info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de:3571 2025-02-17T13:43:53Z openaire_data user-rodare

Blaschke, David Liebing, Simon Röpke, Gerd Dönigus, Benjamin 2025-02-17 Data for particle production in heavy-ion collisions allow the quantum statistical analysis of the parameters for chemical freeze-out of hadron species with special emphasis on light nuclear clusters. Tables are provided for the freeze-out lines in the plane of temperature and chemical potential in ASCII format. These lines, together with abundances of alpha particle clusters are given also in the temperature-density plane using both linear and logarithmic density scale. The data have been obtained in July-August 2024 within a collaboration between 4 authors of the publication in Phys. Lett. B 860(2025) 139206, who represent 5 Institutions: University of Wroclaw, HZDR/CASUS, University of Rostock, TU Bergakademie Freiberg and University of Frankfurt (Main). https://rodare.hzdr.de/record/3571 10.14278/rodare.3571 oai:rodare.hzdr.de:3571 doi:10.1016/j.physletb.2024.139206 url:https://www.hzdr.de/publications/Publ-41006 url:https://www.hzdr.de/publications/Publ-40385 doi:10.14278/rodare.3570 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Light clusters Mott transition Beth-Uhlenbeck Chemical freeze-out Heavy-ion collisions Cluster-Freezeout_PLB860 info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1457 2022-03-18T10:55:36Z openaire_data user-rodare

Schrader, Martin 2022-03-02 Raw data for the Publication "Recycling of rare earth containing waste with peptide-functionalized floating glass bubbles in a phage mimicking approach" https://rodare.hzdr.de/record/1457 10.14278/rodare.1457 oai:rodare.hzdr.de:1457 url:https://www.hzdr.de/publications/Publ-34382 url:https://www.hzdr.de/publications/Publ-34328 doi:10.14278/rodare.1456 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Raw Data: Recycling of rare earth containing waste with peptide-functionalized floating glass bubbles in a phage mimicking approach 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: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:2297 2023-05-22T07:25:02Z openaire_data user-rodare user-energy

Pfeufer, Rike Alena 2023-05-09 Data sets of surface pressure isotherms for punicine derivatives (octyl-, nonyl-, decyl-, undecyl- and heptadecyl-punicine) and oleic acid/sodium oleate. Measurements were carried out at the Langmuir-Blodgett Minitrough of KSV Instruments Ltd. For each measurement the surfactant was solubilized in 1:1 EtOH and chloroform. This solution was placed on top of water (conductivity < 0.8 µS) and after an evaporation time of 10 min measurements were started. data files are named as follows: LB_type of surfactant tabs in data files are named as follows: type of surfactant_ pH of measurement_date of measurement_number of measurement surfactants: OA Oleic acid NaOL Sodium oleate OP Octyl punicine NP Nonyl punicine DP Decyl punicine UDP Undecyl punicine HDP Heptadecyl punicine https://rodare.hzdr.de/record/2297 10.14278/rodare.2297 oai:rodare.hzdr.de:2297 eng url:https://www.hzdr.de/publications/Publ-36944 doi:10.14278/rodare.2296 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Langmuir-Blodgett trough punicine surface pressure isotherm surface pressure isotherms for punicine derivatives and oleic acid/sodium oleate info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3200 2025-04-07T11:22:04Z openaire_data user-rodare

Gouatieu Dongmo, Elvira Haque, Shabnam Kreuter, Florian Wulf, Toshiki Jin, Jiaye Tonner-Zech, Ralf Heine, Thomas Asmis, Knut R. 2024-06-30 The dataset consists of Infrared photodissociation (IRPD) spectra of Cu+(H2O)(H2)n (with n ≤ 3) and its isotopologue measured on the Leipzig 5 K ring-electrode ion-trap triple mass spectrometer. Besides, it contains the Energy Decomposition Analysis (EDA), the benchmark results, the harmonic and the anharmonic VPT2 frequencies results as well as the script used to get the predicted separation factor for the adsorbed dihydrogen isotopologue. HoFe₆Al₆ https://rodare.hzdr.de/record/3200 10.14278/rodare.3200 oai:rodare.hzdr.de:3200 doi:10.5281/zenodo.12554684 url:https://www.hzdr.de/publications/Publ-39751 url:https://www.hzdr.de/publications/Publ-39569 url:https://www.hzdr.de/publications/Publ-39568 doi:10.14278/rodare.3199 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode adsorption dihydrogen isotopologue anharmonicity selectivity Python Direct evidence for ligand-enhanced activity of Cu(I) sites 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:4592 2026-04-09T11:22:07Z openaire_data user-fwi user-ibc user-rodare

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

oai:rodare.hzdr.de:970 2021-05-04T08:32:13Z openaire_data user-rodare

Podlipec, Rok 2021-05-03 Raw data of theranostics laser parameters and calculated descriptor values from FLIM (Fluorescence lifetime imaging microscopy) and AF (autofluorescence) retinal diagnostics for real-time quantification of the treatment effect. https://rodare.hzdr.de/record/970 10.14278/rodare.970 oai:rodare.hzdr.de:970 url:https://www.hzdr.de/publications/Publ-32599 url:https://www.hzdr.de/publications/Publ-32597 url:https://rodare.hzdr.de/record/972 doi:10.14278/rodare.969 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Dataset: Method for real-time controlled tissue theranostics using a single adaptable laser source info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2593 2023-12-08T09:30:47Z openaire_data user-rodare

Suma Balakrishnan, Sruthil Lal Lokamani, Mani Ramakrishna, Kushal Cangi, Attila Murali, D. Posselt, Matthias Assa Aravindh, S. 2023-12-04 Data and input scripts of the project "Ab initio insights on the ultrafast strong-field dynamics of anatase TiO2". https://rodare.hzdr.de/record/2593 10.14278/rodare.2593 oai:rodare.hzdr.de:2593 doi:10.1103/PhysRevB.108.195149 doi:10.48550/arXiv.2306.17554 url:https://www.hzdr.de/publications/Publ-38018 url:https://www.hzdr.de/publications/Publ-37571 doi:10.14278/rodare.2592 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Density functional theory Electron dynamics Quantum systems Thin films Data publication: Ab initio insights on the ultrafast strong-field dynamics of anatase TiO2 info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:510 2020-10-30T10:22:19Z user-rodare

Podlipec, Rok 2020-09-08 Images for the manuscript/paper titled Characterization of blood coagulation dynamics and oxygenation in ex-vivo retinal vessels by fluorescence hyperspectral imaging https://rodare.hzdr.de/record/510 10.14278/rodare.510 oai:rodare.hzdr.de:510 url:https://www.hzdr.de/publications/Publ-30922 url:https://www.hzdr.de/publications/Publ-31510 doi:10.14278/rodare.509 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Images for: Characterization of blood coagulation dynamics and oxygenation in ex-vivo retinal vessels by fluorescence hyperspectral imaging info:eu-repo/semantics/other image-figure

oai:rodare.hzdr.de:1117 2023-02-16T08:16:47Z user-rodare

Paschke-Brühl, Franziska-Luise 2021-07-27 This bachelor thesis studies the feasibility of grazing-incidence small-angle x-ray scattering (GISAXS) in the UHI laser-target interaction via computational simulations with SMILEI. In this work we briefly analyze the front and back of the target. We find predominantly that the compression of the target becomes apparent in the GISAXS pattern, while we can not observe ablation. We will mainly focus on the density oscillation, a dynamic that has not been mentio- ned in literature yet. The density oscillation dynamics depend on a simple pressure gradient in between the layers. We observe the multi layers inversely oscillating in density and a global density alteration moving through the target. The density alteration allows to recognize the dynamic in a GISAXS pattern. We learn, that GISAXS is feasible in the high intensity regime, but not for the same dynamics as in the lower intensity regime. https://rodare.hzdr.de/record/1117 10.14278/rodare.1117 oai:rodare.hzdr.de:1117 eng url:https://www.hzdr.de/publications/Publ-33027 doi:10.14278/rodare.1116 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode GISAXS SAXS grazing-incidence small-angle x-ray scattering SMILEI Simulation Density Oscialltion Simulating Multi Layer Targets for Grazing Incidence Small Angle X-ray Scattering info:eu-repo/semantics/other other

oai:rodare.hzdr.de:2674 2024-01-17T14:31:14Z user-rodare

Akhmetov, Fedor Milov, Igor Makhotkin, Igor A. Ackermann, Marcelo Vorberger, Jan 2024-01-17 All input files and scripts to setup calculations in abinit. Also all output files that were used to generate the figures and tables. https://rodare.hzdr.de/record/2674 10.14278/rodare.2674 oai:rodare.hzdr.de:2674 doi:10.1103/PhysRevB.108.214301 url:https://www.hzdr.de/publications/Publ-38537 url:https://www.hzdr.de/publications/Publ-38532 doi:10.14278/rodare.2673 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode plasma warm dense matter laser matter interaction relaxation DFT energy transfer Eliashberg linear response Boltzmann Data publication: Electron-phonon coupling in transition metals beyond Wang's approximation info:eu-repo/semantics/other other

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

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

oai:rodare.hzdr.de:3849 2025-07-03T06:15:05Z openaire_data user-rodare

Uykur, Ece Tsirlin, A. A. Long, F. Wenzel, M. Dressel, M. Mosina, K. Sofer, Z. Helm, M. Zhou, Shengqiang 2025-07-02 The dataset for the figures given in the publication. Figures are given as in the publication and the linked dataset are added in worksheets https://rodare.hzdr.de/record/3849 10.14278/rodare.3849 oai:rodare.hzdr.de:3849 url:https://www.hzdr.de/publications/Publ-41582 url:https://www.hzdr.de/publications/Publ-41499 doi:10.14278/rodare.3848 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess (Data set) Phonon and magnon dynamics across the antiferromagnetic transition in the two-dimensional layered van der Waals material CrSBr info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:652 2024-08-13T12:17:23Z openaire_data user-rodare user-fwi user-ibc

Bommanaboyena, S. P. Bergfeldt, T. Heller, R. Kläui, M. Jourdan, M. 2020-06-22 RBS raw data for publication "High quality epitaxial Mn2Au (001) thin films grown by molecular beam epitaxy " Simulation results using SINRA are included as well. https://rodare.hzdr.de/record/652 10.14278/rodare.652 oai:rodare.hzdr.de:652 url:https://www.hzdr.de/publications/Publ-31845 url:https://www.hzdr.de/publications/Publ-31844 doi:10.14278/rodare.651 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode RBS raw data for publication "High quality epitaxial Mn2Au (001) thin films grown by molecular beam epitaxy " info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:554 2024-08-13T12:19:39Z user-rodare user-fwi user-ibc

Hache, Toni 2020-10-21 This thesis experimentally demonstrates four approaches of frequency control of magnetic autooscillations in spin Hall nano-oscillators (SHNOs). The frequency can be changed in the GHZ-range by external magnetic fields as shown in this work. This approach uses large electromagnets, which is inconvenient for future applications.The nonlinear coupling between oscillator power and frequency can be used to control the latter one by changing the applied direct current to the SHNO. The frequency can be controlled over a range of several 100 MHz as demonstrated in this thesis. The first part of the experimental chapter demonstrates the synchronization (injection-locking) between magnetic auto-oscillations and an external microwave excitation. The additionally applied microwave current generates a modulation of the effective magnetic field, which causes the interaction with the auto-oscillation. Both synchronize over a range of several 100 MHz. In this range, the auto-oscillation frequency can be controlled by the external stimulus. An increase of power and a decrease of line width is achieved in the synchronization range. This is explained by the increased coherence of the auto-oscillations. A second approach is the synchronization of auto-oscillations to an alternating magnetic field. This field is generated by a freestanding antenna, which is positioned above the SHNO. The second part of the experimental chapter introduces a bipolar concept of SHNOs and its experimental demonstration. In contrast to conventional SHNOs, bipolar SHNOs generate autooscillations for both direct current polarities and both directions of the external magnetic field. This is achieved by combining two ferromagnetic layers in an SHNO. The combination of two different ferromagnetic materials is used to switch between two frequency ranges in dependence of the direct current polarity since it defines the layer showing auto-oscillations. This approach can be used to change the frequency in the GHz-range by switching the direct current polarity. https://rodare.hzdr.de/record/554 10.14278/rodare.554 oai:rodare.hzdr.de:554 url:https://www.hzdr.de/publications/Publ-31619 url:https://www.hzdr.de/publications/Publ-31617 doi:10.14278/rodare.553 url:https://rodare.hzdr.de/communities/fwi url:https://rodare.hzdr.de/communities/ibc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Frequency control of auto-oscillations of the magnetization in spin Hall nano-oscillators info:eu-repo/semantics/other other

oai:rodare.hzdr.de:3717 2025-06-27T09:18:30Z openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data 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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:3188 2024-10-11T10:49:42Z openaire_data user-rodare

Dhiman, Soniya Fuloria, Nandita Ghosh, Aratrika Chaudhary, Shivani Ziauddin Ahammad, Shaikh Tsushima, Satoru Kelly, Norman Jain, Rohan 2024-10-09 The raw data that used in the study. https://rodare.hzdr.de/record/3188 10.14278/rodare.3188 oai:rodare.hzdr.de:3188 doi:10.1016/j.jenvman.2024.122374 url:https://www.hzdr.de/publications/Publ-39691 url:https://www.hzdr.de/publications/Publ-39690 doi:10.14278/rodare.3187 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Leaching GaLIophore Cyphos IL 104 Desferrioxamine B Density functional theory Data publication: Gallium recovery from red mud: Integration of solvent extraction and siderophore assisted technologies info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de: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:1220 2022-12-31T00:02:00Z openaire_data user-rodare

Schoenig, Jan von Eynatten, Hilmar Tolosana-Delgado, Raimon Meinhold, Guido 2021-10-21 The database includes 13615 garnet compositions of eight oxides commonly analysed in lab routines: SiO2, TiO2, Al2O3, Cr2O3, FeOtotal, MnO, MgO, and CaO (in wt%). These are complemented by the following covariables: setting and metamorphic facies class: code indicating the geologic/tectonic setting of the host rock composition class: code indicating the compositional class of the host rock author: authors of the original paper providing the data journal: journal of the original paper region: origin of the data, in the format "region, country" sample name: sample ID in the original paper Pavg(kbar): if available, indicated pressure Tavg(°C): if available, indicated temperature host-rock type and/or metamorphic facies: facies indication of host rock lithology and/or protolith: composition indication of host rock SiO2: wt% TiO2: wt% Al2O3: wt% Cr2O3: wt% FeOtotal: wt% MnO: wt% MgO: wt% CaO: wt% This research was funded by DFG grant EY 23/27-1. https://rodare.hzdr.de/record/1220 10.14278/rodare.1220 oai:rodare.hzdr.de:1220 doi:10.1007/s00410-021-01854-w url:https://www.hzdr.de/publications/Publ-33278 url:https://static-content.springer.com/esm/art%3A10.1007%2Fs00410-021-01854-w/MediaObjects/410_2021_1854_MOESM1_ESM.xlsx doi:10.14278/rodare.1219 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode garnet major-element composition host-rock discrimination Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier / supplementary data 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:2487 2024-03-06T09:29:32Z openaire_data user-rodare

Shi, Pengyu Tholan, Vaishakh Sommer, Anna-Elisabeth Heitkam, Sascha Eckert, Kerstin Kevin, Galvin Rzehak, Roland 2023-09-22 supplementary material for bubble trajectories https://rodare.hzdr.de/record/2487 10.14278/rodare.2487 oai:rodare.hzdr.de:2487 doi:10.1016/j.ijmultiphaseflow.2023.104620 url:https://www.hzdr.de/publications/Publ-37360 url:https://www.hzdr.de/publications/Publ-37359 doi:10.14278/rodare.2486 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode spherical bubble inclined channel drag force lift force wake bending supplementary material for bubble trajectories info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3257 2024-11-19T11:19:46Z software user-elbe user-rodare

Zenker, Klaus Pfrommer, Julius Ebner, Andreas Düwel, Florian Bischoff, Tino 2024-11-15 The OPC UA based control system adapter implements an OPC UA server for the ChimeraTK framework. The implementation is based on the open source OPC UA stack open62541. It allows to generate an OPC UA server from any application written in the ChimeraTK framework. https://rodare.hzdr.de/record/3257 10.14278/rodare.3257 oai:rodare.hzdr.de:3257 doi:10.17815/jlsrf-2-58 url:https://www.hzdr.de/publications/Publ-39902 doi:10.14278/rodare.3256 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 OPC UA ChimeraTK Control System OPC UA based control system adapter for the ChimeraTK framework info:eu-repo/semantics/other software

oai:rodare.hzdr.de:685 2020-12-18T08:36:15Z openaire_data user-rodare

Fan, Xingming 2020-12-17 It contains the data measured by the device and the simulation data. https://rodare.hzdr.de/record/685 10.14278/rodare.685 oai:rodare.hzdr.de:685 eng url:https://www.hzdr.de/publications/Publ-31923 url:https://www.hzdr.de/publications/Publ-31902 doi:10.14278/rodare.684 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/1.0/legalcode UV laser Data for: A UV laser test facility for precise measurement of gas parameters in gaseous detectors info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:848 2021-03-12T07:20:23Z openaire_data user-fwd user-rodare

Barthel, Frank Brandt, Mira 2021-03-10 Simulationsdaten für die Masterarbeit Analysen zur Anwendbarkeit verschiedener Strahlbahn-Monitoring-Konzepte für die ultraschnelle Röntgencomputertomografie Pos_17* enthält die Elektronenflusssimulationen für den ROFEX 3 mit EMFCUT=10keV https://rodare.hzdr.de/record/848 10.14278/rodare.848 oai:rodare.hzdr.de:848 deu url:https://www.hzdr.de/publications/Publ-32400 url:https://www.hzdr.de/publications/Publ-32405 doi:10.14278/rodare.847 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess ROFEX Electron beam FLUKA Beam position Data (3/15) for: Analysen zur Anwendbarkeit verschiedener Strahlbahn-Monitoring-Konzepte für die ultraschnelle Röntgencomputertomografie info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2268 2024-10-24T14:58:47Z openaire_data user-rodare

Fiedler, Lenz Cangi, Attila 2023-04-20 # Authors: - Fiedler, Lenz (HZDR / CASUS) - Cangi, Attila (HZDR / CASUS) # Affiliations: HZDR - Helmholtz-Zentrum Dresden-Rossendorf CASUS - Center for Advanced Systems Understanding # Dataset description - System: Be256 - Temperature(s): 3750K, 7500K, 10000K - Mass density(ies): 1.915 gcc - Crystal Structure: bcc (material mp-20 in the materials project) - Number of atomic snapshots: 50 - 30 (3750K) - 10 (7500K) - 10 (10000) - Contents: - ideal crystal structure: no - MD trajectory: no - Atomic positions: no - DFT inputs: no - DFT outputs (energies): yes - SNAP vectors: no - LDOS vectors: yes (partially, see below) - dimensions: 160x80x80x250 - note: LDOS parameters are the same for all sizes of the unit cell - trained networks: no # Data generation Ideal crystal structures were obtained using the Materials Project. (https://materialsproject.org/materials/mp-87/) DFT-MD calculations were performed using the Vienna Ab initio Simulation Package (https://www.vasp.at/, VASP). DFT calculations were performed using QuantumESPRESSO. For the VASP calculations, the standard VASP pseudopotentials were used. For Quantum Espresso, pslibrary was used (https://dalcorso.github.io/pslibrary/). The LDOS was preprocessed using MALA. # Dataset structure Each temperature folder contains the following folders: - ldos: holds the LDOS vectors (LDOS was not calculated for all snapshots!) - dft_outputs: holds the outputs from the DFT calculations, i.e. energies in the form of a QE output file Please note that the numbering of the snapshots is contiguous per temperature/mass density/number of atoms, and only data used in publications has been uploaded at this point https://rodare.hzdr.de/record/2268 10.14278/rodare.2268 oai:rodare.hzdr.de:2268 url:https://www.hzdr.de/publications/Publ-36846 url:https://www.hzdr.de/publications/Publ-39797 doi:10.14278/rodare.2267 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: Beryllium at high temperatures info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de: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:762 2024-08-14T10:41:25Z openaire_data user-fwd user-rodare user-topflow

Timaeus, Robert Hampel, Uwe Schubert, Markus 2021-01-28 This publication provides the data of a study executed with an inclined rotating fixed-bed reactor. Here, the hydrogenation of alpha-methylstyrene was investigated via experiments and simulations. In particular gas-limited reaction conditions were analyzed to reveal the potential of the reactor for process intensification. The space-time yield of the reactor was taken as performance measure and compared to a conventional trickle-bed reactor. The simulations were executed with a hybrid model, consisting of an Eulerian-Eulerian model and a heterogeneous continuum model. The data is provided in an excel file. Firstly, the "Read me" sheet should be consulted. https://rodare.hzdr.de/record/762 10.14278/rodare.762 oai:rodare.hzdr.de:762 eng url:https://www.hzdr.de/publications/Publ-32176 doi:10.14278/rodare.761 url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare url:https://rodare.hzdr.de/communities/topflow info:eu-repo/semantics/restrictedAccess inclined rotating fixed-bed reactor multiphase phase flow CFD process intensification Assessment of inclined rotating fixed-bed reactors - Data of experiments and simulations info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2620 2025-05-06T09:05:50Z openaire_data user-rodare

Leopardi, Dino Gutzmer, Jens Lehmann, Bernd Burisch-Hassel, Mathias 2023-12-14 This data repository contains the sample locations and descriptions as well as the result for whole-rock, microthermometric and Raman analyses for the publication: “ The spatial and temporal evolution of the Sadisdorf Li-Sn-(W-Cu) magmatic-hydrothermal greisen and vein system, eastern Erzgebirge, Germany”. https://rodare.hzdr.de/record/2620 10.14278/rodare.2620 oai:rodare.hzdr.de:2620 doi:10.5382/econgeo.5077 url:https://www.hzdr.de/publications/Publ-38141 url:https://www.hzdr.de/publications/Publ-38050 doi:10.14278/rodare.2619 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Fluid inclusions Sn-W Lithium Data publication: Geochemistry and fluid inclusion analyses of the Sadisdorf Li-Sn-(W-Cu) magmatic-hydrothermal greisen and vein system, eastern Erzgebirge, Germany info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:644 2024-08-13T12:25:26Z openaire_data user-rodare user-robl

Kaden, Peter Roßberg, André 2020-12-11 This dataset is a subset of the complete data used in the original publication. It contains NMR and XAS data and there simulation. Based on this original data, conclusions are drawn in the linked publication. For the full data, please refer to the corresponding author of the full publication. https://rodare.hzdr.de/record/644 10.14278/rodare.644 oai:rodare.hzdr.de:644 url:https://www.hzdr.de/publications/Publ-31761 url:https://www.hzdr.de/publications/Publ-31820 doi:10.14278/rodare.643 url:https://rodare.hzdr.de/communities/robl url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Coordination of Trivalent Lanthanum and Cerium, and Tetravalent Cerium and Actinides (An = Th(IV), U(IV), Np(IV)) by a 4-Phosphoryl 1H-Pyrazol-5-olate Ligand in Solution and the Solid State info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:902 2021-04-01T08:01:26Z openaire_data user-rodare

Stergiou, Y. Eckert, K. Schwarzenberger, K. 2021-03-31 Hele-Shaw cells are a frequently used tool in various fields of chemical technology, and in environmental and biomedical engineering. The flow conditions near the inlet of a radial Hele-Shaw cell significantly affect the outcome of its technological applications. The present work combines Computational Fluid Dynamics (CFD) and micro-Particle Image Velocimetry (μPIV) to explain the entrance phenomena, i.e. flow detachment and vortex generation, in radial Hele-Shaw cells. The experiments show that the flow detachment is determined by the inlet flow Reynolds number, Re. Two-dimensional numerical simulations were employed to further investigate the role of the gap width, w to inlet diameter, D aspect ratio, w/D. The resulting flow regime map is divided by a transitional Re number, Ret, that depends on the aspect ratio. A further parametric study examining how Re and the aspect ratio affect the reattachment length yields an empirical correlation in power-law form. Finally, the impact of the inlet's geometrical features is briefly examined. The current work can be used as a design guide for future radial HS engineering applications. https://rodare.hzdr.de/record/902 10.14278/rodare.902 oai:rodare.hzdr.de:902 url:https://www.hzdr.de/publications/Publ-32487 url:https://www.hzdr.de/publications/Publ-32479 doi:10.14278/rodare.901 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Hele-Shaw cell flow separation laminar flow reattachment length CFD μPIV Data for: Entrance effects in a radial Hele-Shaw cell: numerical and experimental study info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3985 2025-09-19T10:35:02Z openaire_data user-rodare

Dornheim, Tobias Svensson, Pontus Hamann, Paul Schwalbe, Sebastian Moldabekov, Zhandos Tolias, Panagiotis Vorberger, Jan 2025-09-18 This repository contains the PIMC raw data presented in the publication "Re-weighting estimator for ab initio path integral Monte Carlo simulations of fictitious identical particles" in the same format and units as in the main text. https://rodare.hzdr.de/record/3985 10.14278/rodare.3985 oai:rodare.hzdr.de:3985 url:https://www.hzdr.de/publications/Publ-41867 url:https://www.hzdr.de/publications/Publ-41823 doi:10.14278/rodare.3984 url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: Re-weighting estimator for ab initio path integral Monte Carlo simulations of fictitious identical particles info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2324 2024-08-12T07:23:22Z openaire_data user-rodare user-elbe user-pelbe

Attallah, Ahmed G. Prucnal, Slawomir Butterling, Maik Hirschmann, Eric Koehler, Nicole Schulz, S. E. Wagner, Andreas Liedke, Maciej Oskar 2023-06-06 Research data of Millisecond Flash Lamp Curing for Porosity Generation in Thin Films https://rodare.hzdr.de/record/2324 10.14278/rodare.2324 oai:rodare.hzdr.de:2324 doi:10.17815/jlsrf-2-58 doi:10.1038/s41598-023-34748-x url:https://www.hzdr.de/publications/Publ-37073 url:https://www.hzdr.de/publications/Publ-36933 doi:10.14278/rodare.2323 url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/pelbe url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: Millisecond Flash Lamp Curing for Porosity Generation in Thin Films info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:528 2021-11-29T14:20:52Z openaire_data user-energy user-rodare

Grahn, Alexander Kliem, Sören 2020-09-25 The experiment ROCOM E2.3 represents a boron dilution event in a KONVOI-type pressurized lightwater reactor. It was conducted at room temperature with de-mineralized water without boric acid. Underborated water slugs were modelled by adding Ethanol in order to adjust a density difference of 1.22% with respect to the regular coolant inventory. At the beginning of the experiment, the slugs are enclosed between two valves in the cold legs of loops 1 and 2. The volume of the two water slugs accounts for 0.0576 m 3 (57.6 l) each and the slug fronts are located at 1.8 m upstream of the pressure vessel inlet nozzles. The experiment is started by opening the loop valves and running up the circulation pumps. The time dependency of the volumetric flow rates in all four coolant loops can be found in https://doi.org/10.1016/j.nucengdes.2020.110776. During the experiment, the mixing process was recorded by wire-mesh conductivity sensors at various positions within the coolant loops and the pressure vessel. The nomenclature of the data files as well as the format of the tables are described in the accompanying document DataDescription_ROCOME23.pdf. https://rodare.hzdr.de/record/528 10.14278/rodare.528 oai:rodare.hzdr.de:528 eng url:https://www.hzdr.de/publications/Publ-31562 doi:10.1016/j.nucengdes.2020.110776 url:https://www.hzdr.de/publications/Publ-30098 doi:10.14278/rodare.527 url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode boron dilution coolant mixing pressurized water reactor Experimental data of the ROCOME2.3 experiment info:eu-repo/semantics/other dataset .eJyVzU2PgjAQgOH_0rO7oSBl9YYLsri2q0BBuZjSIpHvAEat8b8vR2_Gwxxm8uaZO-jTVIC58olmqoGQihSkfukQ6RPQsiwFc3UCigvrsh7M76BKBybYwDZdejxdwRw07HQQHExGZhjXc592H10jWJeCx3jkXVOWh9P4APBdWPK6pMwJz14VKns1M3BgGljiGwn4DVsmIpHHkmhWk1xQXwsdrrT1OlichaK3sewhybkkcjvOHgmtGFgErztt4fsV_Pbt2Ta0XN0r7IEG_RXn9oXkeEqkicKfNg8UuCFyRalDp9SHeWTzm3BEPLZPbvaGa7_hFm-47itXYunCsbvgoIHxsh0SlasEemtBY-lXfMCOrgVVWf9JqhKJNWKNI1st9WGb7JZHvlz9JnTlBnBBcV46Wx96T-0UW69a0wCPf9pJu4Q.aeRxLQ.ARQqFAUB0Q31sB3TAJjbD9CKl0g