2026-04-15T22:46:05Z https://rodare.hzdr.de/oai2d

oai:rodare.hzdr.de:2887 2024-08-19T08:57:11Z openaire_data user-ecfunded user-rodare user-elbe user-draco-elbe user-panosc

Ziegler, Tim Göthel, Ilja Assenbaum, Stefan Bernert, Constantin Brack, Florian-Emanuel Cowan, Thomas Dover, Nicholas P. Gaus, Lennart Kluge, Thomas Kraft, Stephan Kroll, Florian Metzkes-Ng, Josefine Nishiuchi, Mamiko Prencipe, Irene Püschel, Thomas Rehwald, Martin Reimold, Marvin Schlenvoigt, Hans-Peter Umlandt, Marvin Elias Paul Vescovi Pinochet, Milenko Andrés Schramm, Ulrich Zeil, Karl 2024-03-05 This dataset contains all source data used to generate figures and all other findings of the publication: "Laser-driven high-energy proton beams from cascaded acceleration regimes". https://rodare.hzdr.de/record/2887 10.14278/rodare.2887 oai:rodare.hzdr.de:2887 eng info:eu-repo/grantAgreement/EC/H2020/871124/ doi:10.17815/jlsrf-2-58 url:https://www.hzdr.de/publications/Publ-38824 url:https://www.hzdr.de/publications/Publ-38987 doi:10.14278/rodare.2749 url:https://rodare.hzdr.de/communities/draco-elbe url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/panosc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Source Data: Laser-driven high-energy proton beams from cascaded acceleration regimes info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:801 2025-07-18T10:19:41Z openaire_data user-ecfunded user-health user-rodare

Müller, Johannes Suckert, Theresa Beyreuther, Elke Schneider, Moritz Boucsein, Marc Bodenstein, Elisabeth Stolz-Kieslich, Liane Krause, Mechthild von Neubeck, Cläre Haase, Robert Lühr, Armin Dietrich, Antje 2021-01-20 The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations. https://rodare.hzdr.de/record/801 10.14278/rodare.801 oai:rodare.hzdr.de:801 eng info:eu-repo/grantAgreement/EC/H2020/730983/ url:https://www.hzdr.de/publications/Publ-32124 doi:10.14278/rodare.557 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Preclinical Image fusion Proton radiation Medical imaging Histology Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D. info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2801 2024-08-12T07:56:59Z openaire_data user-matter user-hzdr user-ecfunded user-rodare user-elbe user-draco-elbe

Dover, Nicholas P. Ziegler, Tim Assenbaum, Stefan Bernert, Constantin Bock, Stefan Brack, Florian-Emanuel Cowan, Thomas Ditter, Emma J. Garten, Marco Gaus, Lennart Göthel, Ilja Hicks, George S. Kiriyama, Hiromitsu Kluge, Thomas Koga, James K. Kon, Akira Kondo, Kotaro Kraft, Stephan Kroll, Florian Lowe, Hazel F. Metzkes-Ng, Josefine Miyatake, Tatsuhiko Najmudin, Zulfikar Püschel, Thomas Rehwald, Martin Reimold, Marvin Sakaki, Hironao Schlenvoigt, Hans-Peter Shiokawa, Keiichiro Umlandt, Marvin Elias Paul Schramm, Ulrich Zeil, Karl Nishiuchi, Mamiko 2024-04-11 This dataset contains all source data used to generate figures and all other findings of the publication: " Enhanced ion acceleration from transparency-driven foils demonstrated at two ultraintense laser facilities". https://rodare.hzdr.de/record/2801 10.14278/rodare.2801 oai:rodare.hzdr.de:2801 eng info:eu-repo/grantAgreement/EC/H2020/871124/ doi:10.17815/jlsrf-2-58 doi:10.1038/s41377-023-01083-9 url:https://www.hzdr.de/publications/Publ-38957 url:https://www.hzdr.de/publications/Publ-38955 doi:10.14278/rodare.2800 url:https://rodare.hzdr.de/communities/draco-elbe 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 Source data: Enhanced ion acceleration from transparency-driven foils demonstrated at two ultraintense laser facilities info:eu-repo/semantics/other dataset

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

Fortmann-Grote, Carsten Stańczak, Dominik Poeschel, Franz Koller, Fabian Huebl, Axel 2018-09-17 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/53 10.14278/rodare.53 oai:rodare.hzdr.de:53 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:202 2024-01-10T11:45:54Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Donnelly, Ray Koller, Fabian Poeschel, Franz Huebl, Axel 2019-11-15 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/202 10.14278/rodare.202 oai:rodare.hzdr.de:202 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:702 2024-01-10T11:45:55Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Koller, Fabian Poeschel, Franz Gu, Junmin Huebl, Axel 2021-01-03 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. https://rodare.hzdr.de/record/702 10.14278/rodare.702 oai:rodare.hzdr.de:702 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:999 2024-01-10T11:45:56Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Koller, Fabian Poeschel, Franz Gu, Junmin Huebl, Axel 2021-05-13 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. https://rodare.hzdr.de/record/999 10.14278/rodare.999 oai:rodare.hzdr.de:999 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1688 2024-01-10T11:45:57Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Ganyushin, Dmitry Kirkham, John Schnetter, Erik Bez, Jean Luca Hübl, Axel Pöschel, Franz Koller, Fabian Gu, Junmin 2022-06-07 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. https://rodare.hzdr.de/record/1688 10.14278/rodare.1688 oai:rodare.hzdr.de:1688 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.33624 url:https://github.com/openPMD/openPMD-api/tree/0.10.1-alpha url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:943 2023-02-16T08:17:21Z user-hzdr user-rodare user-ecfunded

Knodel, Oliver 2021-04-19 This entry contains a demo video introducing the ExPaNDS/PaNOSC training catalogue developed by HZDR. https://rodare.hzdr.de/record/943 10.14278/rodare.943 oai:rodare.hzdr.de:943 eng url:https://www.hzdr.de/publications/Publ-32553 doi:10.14278/rodare.942 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode data management, training, ExPaNDS ExPaNDS Training Catalogue Demo info:eu-repo/semantics/other video

oai:rodare.hzdr.de:952 2023-02-16T08:17:21Z user-hzdr user-rodare user-ecfunded

Knodel, Oliver 2021-04-19 This entry contains a demo video introducing the ExPaNDS/PaNOSC training catalogue developed by HZDR. https://rodare.hzdr.de/record/952 10.14278/rodare.952 oai:rodare.hzdr.de:952 eng info:eu-repo/grantAgreement/EC/H2020/857641/ url:https://www.hzdr.de/publications/Publ-32553 doi:10.14278/rodare.942 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode data management, training, ExPaNDS ExPaNDS Training Catalogue Demo info:eu-repo/semantics/other video

oai:rodare.hzdr.de:250 2024-08-13T12:23:06Z openaire_data user-ecfunded user-fwi user-rodare user-ibc

Hummel, Stefan Fantner, Georg Hlawacek, Gregor Andany, Santiago 2020-02-04 In this work, the integration of an atomic force microscope (AFM) into a helium ion microscope (HIM) is reported for the first time. The helium ion microscope is a powerful instrument, capable of sub- nanometer resolution imaging and machining nanoscale structures, while the AFM is a well-established versatile tool for multiparametric nanoscale metrology. Combining the two techniques opens the way for unprecedented, in-situ, correlative analysis at the nanoscale. Nanomachining and analysis can be performed without contamination of the sample as well as avoiding environmental changes between processing steps. The practicality of the resulting tool lies in the complementarity of the two techniques as the AFM offers not only true 3D topography maps---something the HIM can only provide in an indirect way---but also allows for nanomechanical property mapping, as well as electrical and magnetic characterisation of the sample after focused ion beam materials modification with the HIM. The experimental setup is described and evaluated through a series of correlative experiments, demonstrating the feasibility of the integration. https://rodare.hzdr.de/record/250 10.14278/rodare.250 oai:rodare.hzdr.de:250 info:eu-repo/grantAgreement/EC/H2020/688072/ url:https://www.hzdr.de/publications/Publ-30718 url:https://www.hzdr.de/publications/Publ-30689 doi:10.14278/rodare.249 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/closedAccess Helium Ion Microscopy Atomic Force Microscopy HIM and AFM Data set from first AFM in the HIM test info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2313 2025-03-04T14:54:39Z software user-ecfunded user-fwd user-rodare

Duczek, Carolina Weber, Norbert Godinez-Brizuela, Omar Weier, Tom 2023-05-26 Solver and simulation data for validation test case https://rodare.hzdr.de/record/2313 10.14278/rodare.2313 oai:rodare.hzdr.de:2313 info:eu-repo/grantAgreement/EC/H2020/963599/ doi:10.1016/j.electacta.2022.141413 doi:10.1016/j.electacta.2022.141413 url:https://www.hzdr.de/publications/Publ-37032 url:https://www.hzdr.de/publications/Publ-34956 doi:10.14278/rodare.2312 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess OpenFOAM liquid metal battery molten salt battery species transfer Data publication: Simulation of potential and species distribution in a Li||Bi liquid metal battery using coupled meshes info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3973 2025-09-15T07:19:38Z openaire_data user-ecfunded user-elbe user-nelbe user-rodare

Junghans, Arnd Beyer, Roland Claußner, Jürgen Kögler, Toni Urlaß, Sebastian Bemmerer, Daniel Ferrari, Anna Schwengner, Ronald Wagner, Andreas Dietz, Mirco Frotscher, Axel Grieger, Marcel Hensel, Thomas Koppitz, Martina Ludwig, Felix Turkat, Steffen Nolte, Ralf Pirovano, Elisa Kopecky, Stefan Nyman, Markus Plompen, Arjan Schillebeeckx, Peter Borris, Erik Reifarth, René Veltum, Daniel Weigand, Mario Glorius, Jan Görres, Joachim Oberlack, Uwe Wenz, Daniel 2025-09-15 These data sets contain the measured neutron transmission data from nat-He, nat-O, nat-Ne, nat-Xe, nat-Pt and 238-U (as depleted uranium) that were measured at the nELBE time-of-flight facility of HZDR. These data were published in the paper EPJ Web of Conferences 239, 01006 (2020) (Conference proceedings of the Int. Conf. on Nuclear Data for Science and Technology, 2019, Beijing). The transmission of nat-C, which was measured at the same time as nat-Ne is also included here. It was also reported in the master thesis (in german) of Erik Borris, 04.11.2019, Institut für Angewandte Physik, Goethe Universität Frankfurt am Main. The data are also available from EXFOR library with accession number 23755. We thank the ELBE accelerator crew for providing stable beam operation as well as Andreas Hartmann and Maik Görler for excellent continuing technical support. This work was supported by the German Federal Ministry for Education and Science (TRAKULA project, contract number 02NUK13A) and by the European Commission within the Seventh Framework Programme through Fission-2013-CHANDA (project number 605203). https://rodare.hzdr.de/record/3973 10.14278/rodare.3973 oai:rodare.hzdr.de:3973 info:eu-repo/grantAgreement/EC/FP7/605203/ doi:10.17815/jlsrf-2-58 doi:10.58065/24017 doi:10.1051/epjconf/202023901006 url:https://www.hzdr.de/publications/Publ-41833 url:https://www.hzdr.de/publications/Publ-29767 doi:10.14278/rodare.3972 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/nelbe url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode neutron total cross sections He Ne O Xe Pt 238U nELBE time of flight faciltiy transmission measurement C Research Data publication: Neutron Transmission Measurements at nELBE, EPJ Web of Conf 239 (2020) 01006 info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2856 2024-08-12T07:56:39Z openaire_data user-ecfunded user-rodare user-elbe user-draco-elbe

La Berge, Maxwell Bowers, Brant Chang, Yen-Yu Couperus Cabadag, Jurjen Debus, Alexander Hannasch, Andrea Pausch, Richard Schöbel, Susanne Tiebel, Jessica Ufer, Patrick Willmann, Anna Zarini, Omid Zgadzaj, Rafal Lumpkin, Alex Schramm, Ulrich Irman, Arie Downer, Michael 2024-05-06 This repository contains data on coherent optical transition radiation (COTR) from laser wakefield accelerated electron beams. This includes raw (COTR) images and electron spectra, as well as analysis code for evaluating the COTR data and using it as an input for a differential-evolution-based reconstruction of the electron bunch. https://rodare.hzdr.de/record/2856 10.14278/rodare.2856 oai:rodare.hzdr.de:2856 eng info:eu-repo/grantAgreement/EC/FP7/327127/ doi:10.17815/jlsrf-2-58 url:https://www.hzdr.de/publications/Publ-39065 doi:10.14278/rodare.2855 url:https://rodare.hzdr.de/communities/draco-elbe url:https://rodare.hzdr.de/communities/ecfunded 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 Laser wakefield acceleration Laser plasma acceleration Transition radiation Differential evolution Coherent transition radiation Coherent optical transition radiation Microbunching Data publication: Revealing the 3D structure of microbunched plasma-wakefield-accelerated electron beams info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:613 2020-12-03T10:54:28Z openaire_data user-casus user-ecfunded user-hzdr user-rodare

Calabrese, Justin M. Fleming, Christen Noonan, Michael J. Dong, Xianghui 2020-11-27 Estimating animal home ranges is a primary purpose of collecting tracking data. All conventional home range estimators in widespread usage, including minimum convex polygons and kernel density estimators, assume independently sampled data. In stark contrast, modern GPS animal tracking datasets are almost always strongly autocorrelated. This incongruence between estimator assumptions and empirical reality leads to systematically underestimated home ranges. Autocorrelated kernel density estimation (AKDE) resolves this conflict by modeling the observed autocorrelation structure of tracking data during home range estimation, and has been shown to perform accurately across a broad range of tracking datasets. However, compared to conventional estimators, AKDE requires additional modeling steps and has heretofore only been accessible via the command-line ctmm R package. Here, we introduce ctmmweb, which provides a point-and-click graphical interface to ctmm, and streamlines AKDE, its prerequisite autocorrelation modeling steps, and a number of additional movement analyses. We demonstrate ctmmweb’s capabilities, including AKDE home range estimation and subsequent home range overlap analysis, on a dataset of four jaguars from the Brazilian Pantanal. We intend ctmmweb to open AKDE and related autocorrelation-explicit analyses to a wider audience of wildlife and conservation professionals. https://rodare.hzdr.de/record/613 10.14278/rodare.613 oai:rodare.hzdr.de:613 eng info:eu-repo/grantAgreement/NSF//1458748/ doi:10.1101/2020.05.11.087932 url:https://www.hzdr.de/publications/Publ-31776 url:https://www.hzdr.de/publications/Publ-31774 doi:10.14278/rodare.612 url:https://rodare.hzdr.de/communities/casus url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess AKDE animal movement autocorrelation ctmm telemetry tracking data Research Data for: ctmmweb: A graphical user interface for autocorrelation-informed home range estimation info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1345 2024-08-08T10:33:20Z openaire_data user-matter user-hzdr user-ecfunded user-rodare user-elbe

Kovalev, Sergey Hafez, Hassan A. Tielrooij, Klaas-Jan Deinert, Jan-Christoph Ilyakov, Igor Awari, Nilesh Alcaraz, David Soundarapandian, Karuppasamy Saleta, David Germanskiy, Semen Chen, Min Bawatna, Mohammed Green, Bertram Windisch Koppens, Frank H. L. Mittendorff, Martin Bonn, Mischa Gensch, Michael Turchinovich, Dmitry 2021-12-21 This research data publications contains the sorted pulse-resolved data and metadata corresponding to the linked publication: Electrical tunability of terahertz nonlinearity in graphene. The final data evaluation and preparation of figures was done externally by Dr. Hassan Hafez, who should be contacted in terms of assigning raw data to data shown in publication. https://rodare.hzdr.de/record/1345 10.14278/rodare.1345 oai:rodare.hzdr.de:1345 eng info:eu-repo/grantAgreement/EC/H2020/654220/ url:https://www.hzdr.de/publications/Publ-32311 url:https://www.hzdr.de/publications/Publ-33778 doi:10.1126/SCIADV.ABF9809 doi:10.14278/rodare.1344 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 Graphene THz-driven dynamics Terahertz Dirac material Electrical gating High harmonic generation Optoelectronics Ultrafast Research data: Electrical tunability of terahertz nonlinearity in graphene info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2192 2023-05-22T07:24:57Z openaire_data user-ecfunded user-fwd user-rodare user-energy

Lee, Juhan Monrrabal Marquez, Gleidys Sarma, Martins Lappan, Tobias Hofstettet, Yvonne Jasmin Trtik, Pavel Landgraf, Steffen Ding, Wenjin Kumar, Sumit Vaynzof, Yana Weber, Norbert Weier, Tom 2023-03-22 Raw data from experiments with membrane-free alkali metal-iodide cells containing XPS results, phase-diagram calculations, neutron radiography images, electrochemical cycling data, and electron microscope images of the carbon felt used. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 963599 (SOLSTICE - Sodium-Zinc molten salt batteries for low-cost stationary storage) https://rodare.hzdr.de/record/2192 10.14278/rodare.2192 oai:rodare.hzdr.de:2192 eng info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-36678 url:https://www.hzdr.de/publications/Publ-34550 doi:10.14278/rodare.2191 url:https://rodare.hzdr.de/communities/ecfunded 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 liquid metal batteries alkali metal-iodide batteries liquid metal electrodes low-temperature molten salt membrane-free energy storage neutron radiography Data publication: Membrane-free alkali metal-iodide battery with a molten salt info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3730 2025-09-26T03:29:12Z openaire_data 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-ecfunded user-hzdr user-rodare

Zhou, Wenyu Kulenkampff, Johannes Zuna, Milan Jankovský, Filip Butscher, Christoph Kammel, Robin Schaefer, Thorsten Fischer, Cornelius 2025-05-07 Dataset containing research data, Python scripts, and COMSOL models associated with the publication: Variability of effective diffusivity in fractured and mineralized metamorphic host rock at Bukov, Bohemian Massif (CZ) and submitted to Applied Geochemistry. https://rodare.hzdr.de/record/3730 10.14278/rodare.3730 oai:rodare.hzdr.de:3730 eng info:eu-repo/grantAgreement/EC/H2020/847593/ url:https://www.hzdr.de/publications/Publ-41304 url:https://www.hzdr.de/publications/Publ-41894 doi:10.14278/rodare.3729 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Radionuclide migration nuclear waste management fractured metamorphic host rock fracture sealing effective diffusivity Data publication for manuscript: Variability of effective diffusivity in fractured and mineralized metamorphic host rock at Bukov, Bohemian Massif (CZ) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1469 2022-03-04T13:45:19Z openaire_data user-ecfunded user-rodare

Pospiech, Solveig 2022-03-04 These data are supplementary material for the publication "Uncertainty Estimation for Measurement Data - A Practical Guide for Earth Scientists" in the journal Geostandards and Geoanalytical Research. Data have uncertainties. Including a good estimate of the uncertainties for data analysis might significantly change the data interpretation. Therefore, high data quality is characterized by good accuracy of measurement results, but equally important by a good estimation of data uncertainty, which includes all relevant sources of dispersion of a measurement procedure. These data are example data sets for two case studies using uncertainty models based on replicated measurements. The case studies demonstrate how the models can be parameterized by using measurement data. The case studies are accompanied by code examples for the statistical programming language R. https://rodare.hzdr.de/record/1469 10.14278/rodare.1469 oai:rodare.hzdr.de:1469 info:eu-repo/grantAgreement/EC/H2020/776804/ url:https://www.hzdr.de/publications/Publ-34342 doi:10.14278/rodare.1468 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data for case studies about estimating measurement uncertainties 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:2852 2024-05-06T07:34:16Z openaire_data user-ecfunded user-rodare

Weber, Norbert Duczek, Carolina Monrrabal Marquez, Gleidys Nash, William Sarma, Martins Weier, Tom 2024-05-03 The dataset contains the risk assessment table as well as certain calculations. https://rodare.hzdr.de/record/2852 10.14278/rodare.2852 oai:rodare.hzdr.de:2852 info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-39047 url:https://www.hzdr.de/publications/Publ-38983 doi:10.14278/rodare.2851 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: Risk assessment for Na-Zn liquid metal batteries info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:508 2020-10-30T11:45:34Z openaire_data user-ecfunded user-rodare

Frick, Peter Gundrum, Thomas Stefani, Frank Stepanov, Rodion Vogt, Tobias Jüstel, Peter Röhrborn, Sebastian Galindo, Vladimir Schindler, Felix 2020-09-08 The two 7z Archives contain experimental data and the corresponding evaluation software, as well as the code and setup of the numerical part of the paper "Generating a tide-like flow in a cylindrical vessel by electromagnetic forcing". Folder sizes decompressed: Experimental - ca. 600MiB, Numerics - ca. 2GiB https://rodare.hzdr.de/record/508 10.14278/rodare.508 oai:rodare.hzdr.de:508 eng info:eu-repo/grantAgreement/EC/H2020/787544/ doi:10.1063/5.0015271 arxiv:arXiv:2006.03491 url:https://www.hzdr.de/publications/Publ-31502 url:https://www.hzdr.de/publications/Publ-31078 doi:10.14278/rodare.507 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Ultrasound-Doppler-Velocimetry (UDV) Python openFOAM Generating a tide-like flow in a cylindrical vessel by electromagnetic forcing - datasets and software 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:2055 2024-08-12T09:49:03Z user-hzdr user-fwi user-ecfunded user-energy user-rodare user-ibc

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

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

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

oai:rodare.hzdr.de: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:2750 2024-08-19T08:57:11Z openaire_data user-ecfunded user-rodare user-elbe user-draco-elbe user-panosc

Ziegler, Tim Göthel, Ilja Assenbaum, Stefan Bernert, Constantin Brack, Florian-Emanuel Cowan, Thomas Dover, Nicholas P. Gaus, Lennart Kluge, Thomas Kraft, Stephan Kroll, Florian Metzkes-Ng, Josefine Nishiuchi, Mamiko Prencipe, Irene Püschel, Thomas Rehwald, Martin Reimold, Marvin Schlenvoigt, Hans-Peter Umlandt, Marvin Elias Paul Vescovi Pinochet, Milenko Andrés Schramm, Ulrich Zeil, Karl 2024-03-05 This dataset contains all source data used to generate figures and all other findings of the publication: "Laser-driven high-energy proton beams from cascaded acceleration regimes". https://rodare.hzdr.de/record/2750 10.14278/rodare.2750 oai:rodare.hzdr.de:2750 eng info:eu-repo/grantAgreement/EC/H2020/871124/ url:https://www.hzdr.de/publications/Publ-38824 url:https://www.hzdr.de/publications/Publ-38987 doi:10.14278/rodare.2749 url:https://rodare.hzdr.de/communities/draco-elbe url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/panosc url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Source Data: Laser-driven high-energy proton beams from cascaded acceleration regimes info:eu-repo/semantics/other dataset

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

oai:rodare.hzdr.de:3594 2025-03-04T12:54:40Z software user-ecfunded user-fwd user-rodare

Duczek, Carolina Weber, Norbert Godinez-Brizuela, Omar Weier, Tom 2023-05-26 Solver and simulation data for validation test case https://rodare.hzdr.de/record/3594 10.14278/rodare.3594 oai:rodare.hzdr.de:3594 info:eu-repo/grantAgreement/EC/H2020/963599/ doi:10.1016/j.electacta.2022.141413 doi:10.1016/j.electacta.2022.141413 url:https://www.hzdr.de/publications/Publ-37032 url:https://www.hzdr.de/publications/Publ-34956 doi:10.14278/rodare.2312 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/fwd url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 OpenFOAM liquid metal battery molten salt battery species transfer Data publication: Simulation of potential and species distribution in a Li||Bi liquid metal battery using coupled meshes info:eu-repo/semantics/other software

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

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

oai:rodare.hzdr.de:2537 2023-11-03T09:47:08Z openaire_data user-ecfunded user-fwo user-rodare

Loesel, Dagmar Schoessler, Claudia Jankovsky, Filip Zuna, Milan Kulenkampff, Johannes 2023-11-01 Two crystalline rock drill cores from the Grimsel site were scanned with a Nikon XT H 225 - scanner. The samples were prepared (formatted and cast in epoxy) by UJV Rez, Czech Republic. The CT-data were acquired and processed at HZDR-FWOT. Sample 1 (GAM_UJV_1C_1) contains a complex system of interconnected fractures. Sample 2 (GAM_UJV_1C_2) contains one single end-to-end fracture with larger aperture. Size of both samples: Diameter 80 mm, length 165 mm. Two tomograms were acquired for both samples: 1) Complete drill core as one scan, voxel size ca. 75 µm. 2) HR-tomogram merged from three sections with maximum resolution, voxel size ca. 40 µm. The tomograms were stored as 3D-raw files. Data format, acquisition parameters, and processing workflow, are documented in the tomogram header files (nrrd-format (text): see https://teem.sourceforge.net/nrrd/format.html). This data format is importable into open-source visualization programs as 3D slicer (https://www.slicer.org) or Paraview (https://www.paraview.org). The data processing has been conducted with Avizo (https://www.thermofisher.com/de/de/home/electron-microscopy/products/software-em-3d-vis/avizo-software.html). Files: Sample 1 GAM_UJV_1C_1_complet-2_01_NLM: Graylevel image of complete sample, ring artifact removal, non-local-means filter GAM_UJV_1C_1_complet-2_01_thresholded: Tentative label image of complete sample, threshold segmentation with manual edit Merged-GAM_UJV_1C_1_HR.Frac_section: Graylevel image of merged fracture section, unfiltered Merged-GAM_UJV_1C_1_HR.Frac_section.Threshold: Tentative label image of merged fracture section, adaptive threshold segmentation with manual edit GAM_UJV_1C_1_complet_2.png: Figure of complete sample GAM_UJV_1C_1_HR_Frac_Y2.png: Figure of merged high-resolution tomogram Sample 2 GAM_UJV_1C_2_complet_01.filtered: Graylevel image of complete sample, ring artifact removal, non-local-means filter GAM_UJV_1C_2_complet_01.filtered.thresholded: Tentative label image of complete sample, threshold segmentation with manual edit Merged-GAM_UJV_1C_2_A_01.Frac_section.filtered: Graylevel image of merged fracture section, ring artifact removal, non-local-means filter Merged-GAM_UJV_1C_2_A_01.Frac_section.filtered.segm: Tentative label image of merged fracture section, threshold segmentation with manual edit GAM_UJV_1C_2_complett_2.png: Figure of complete sample GAM_UJV_1C_2_HR_Frac_Y2.png: Figure of merged high-resolution tomogram Original acquistion data are stored on the HZDR bulk data storage system and available for reprocessing on request. Financial support was granted from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 847593 (EURAD, WP FUTURE, task 2.2). https://rodare.hzdr.de/record/2537 10.14278/rodare.2537 oai:rodare.hzdr.de:2537 eng info:eu-repo/grantAgreement/EC/H2020/847593/ url:https://www.hzdr.de/publications/Publ-37750 doi:10.14278/rodare.2536 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/fwo url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess X-ray computed tomography crystalline rock granite drill core fracture µCT data of two drill cores of fractured crystalline rock (Grimsel) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2991 2024-08-12T07:56:19Z openaire_data user-ecfunded user-rodare user-elbe user-draco-elbe

LaBerge, Maxwell Bowers, Brant Chang, Yen-Yu Couperus Cabadag, Jurjen Debus, Alexander Hannasch, Andrea Pausch, Richard Schöbel, Susanne Tiebel, Jessica Ufer, Patrick Willmann, Anna Zarini, Omid Zgadzaj, Rafal Lumpkin, Alex Irman, Arie Schramm, Ulrich Downer, Michael 2024-06-03 Source data for the publication titled "Revealing the 3D structure of microbunched plasma-wakefield-accelerated electron beams." https://rodare.hzdr.de/record/2991 10.14278/rodare.2991 oai:rodare.hzdr.de:2991 info:eu-repo/grantAgreement/EC/FP7/327127/ url:https://www.hzdr.de/publications/Publ-39170 doi:10.14278/rodare.2990 url:https://rodare.hzdr.de/communities/draco-elbe url:https://rodare.hzdr.de/communities/ecfunded 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 Source data: Revealing the 3D structure of microbunched plasma-wakefield-accelerated electron beams info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3590 2025-03-03T20:54:39Z software user-ecfunded user-rodare

Weber, Norbert Galindo, Vladimir 2025-01-16 The open dataset includes an ultasound doppler velocimetry beam model to compare flow simulations in OpenFOAM with measured data. https://rodare.hzdr.de/record/3590 10.14278/rodare.3590 oai:rodare.hzdr.de:3590 info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-40656 doi:10.14278/rodare.3399 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 An ultrasound doppler velocimetry beam model info:eu-repo/semantics/other software

oai:rodare.hzdr.de:401 2023-01-23T10:04:34Z openaire_data user-ecfunded user-rodare

Konstantinovic, M. J. Ulbricht, Andreas Brodziansky, T. Castin, N. Malerba, L. 2020-07-21 Origin-files, data for figure 3 and figure 4 of publication in J. Nucl. Mater. https://rodare.hzdr.de/record/401 10.14278/rodare.401 oai:rodare.hzdr.de:401 info:eu-repo/grantAgreement/EC/H2020/755039/ doi:10.1016/j.jnucmat.2020.152341 url:https://www.hzdr.de/publications/Publ-31356 url:https://www.hzdr.de/publications/Publ-31344 doi:10.14278/rodare.400 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Neutron irradiation FeCr alloys and steels Vacancy-solute clustering in Fe-Cr alloys after neutron irradiation info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3554 2025-10-07T09:29:04Z openaire_data user-ecfunded user-rodare

Sarma, Martins Shevchenko, Natalia Weber, Norbert Weier, Tom 2025-01-29 This dataset contains unprocessed results from the X-ray radiography imaging of high temperature molten salt Na-Zn battery. The folders are structured as follows: - 01 to 03 correspond to radiography results, - 04 corresponds to comparison of long-term cycling of two different batteries. 01 to 03 has subfolder structure as follows: - 01 has the raw files in 16bit tiff format, - 02 has unprocessed png files with fixed contrast and overlay of cycling data for each time step, - 03 is an mp4 video of png files made with ffmpeg, - 04 is the recorded cycling data. The raw data has the Date and time as title. There is 167 second offset between radiographs and electrochemical data (one has to add the offset time to join both data sets). Cycling data has been exported as .txt from EC-Lab V11.61 with following variables: *time/s* *Ewe/V* *I/mA* *(Q-Q0)/mA.h* *cycle number* *mode* *ox/red* This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 963599. https://rodare.hzdr.de/record/3554 10.14278/rodare.3554 oai:rodare.hzdr.de:3554 info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-40905 url:https://www.hzdr.de/publications/Publ-41939 doi:10.14278/rodare.3553 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication for "Feasibility of Na-Zn batteries for grid-scale energy storage: insights from in situ studies" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3977 2025-09-15T09:19:38Z openaire_data user-ecfunded user-elbe user-nelbe user-rodare

deBoer, R. J. Junghans, Arnd Arquette, R. Bemmerer, Daniel Best, A. Beyer, Roland Boeltzig, Axel Clarke, G. Görres, J. Hensel, T. Matney, M. Müller, Stefan Rapagnani, D. Roberts, A. Römer, Katja Turkat, S. Schmidt, Konrad Skowronski, J. Wagner, Andreas Wiescher, M. Yadav, Anup 2025-09-15 This data set contains the neutron transmission data from nat-N, that were measured at the nELBE time-of-flight facility of HZDR. They have been published in the articles J. deBoer, A.R. Junghans et al., PHYSICAL REVIEW C 112, 025805 (2025) and https://arxiv.org/abs/2505.04995. The data set "transmission_nitrogen.grf" is a text-file. A detailed description of the content is in the readme file and the parameters of the experiment are listed in the file nELBE-ntot-Transmission-data-nitrogen.pdf. The data in lines with data index number 6193 - 6198 have been omitted, because a cable reflexion is present in this time interval. This research utilized resources from the Notre Dame Center for Research Computing and was supported by the National Science Foundation through Grant No. PHY2310059 (University of Notre Dame Nuclear Science Laboratory) and by the Joint Institute for Nuclear Astrophysics through Grant No. PHY-1430152 (JINA Center for the Evolution of the Elements). A.R.J. acknowledges funding from the Euratom research and training program 2014–2018 under Grant Agreement No. 847594 (ARIEL). Parts of this research were carried out at ELBE at the Helmholtz-Zentrum DresdenRossendorf e.V., a member of the Helmholtz Association https://rodare.hzdr.de/record/3977 10.14278/rodare.3977 oai:rodare.hzdr.de:3977 info:eu-repo/grantAgreement/EC/H2020/847594/ doi:10.17815/jlsrf-2-58 doi:10.58065/24017 doi:10.1103/frgb-j5c3 doi:10.48550/arXiv.2505.04995 url:https://www.hzdr.de/publications/Publ-41838 url:https://www.hzdr.de/publications/Publ-41221 doi:10.14278/rodare.3976 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/nelbe url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode nELBE neutron transmission fast neutrons nitrogen R-Matrix analysis Data publication: Total cross section of 14N+n from 0.1 to 12 MeV, PHYSICAL REVIEW C 112, 025805 (2025) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2549 2025-04-22T05:22:57Z software user-fwd user-ecfunded user-energy user-rodare

Weier, Tom Nash, William Personnettaz, Paolo Weber, Norbert 2023-11-05 Yamdb (Yet Another Materials Database/YAMl materials DataBase) is a Python library providing thermophysical properties of liquid metals and molten salts in an easily accessible manner. Mathematical relations describing material properties - usually determined by experiment - are taken from the literature and implemented in Python. The coefficients of these equations are stored separately in YAML files. https://rodare.hzdr.de/record/2549 10.14278/rodare.2549 oai:rodare.hzdr.de:2549 eng info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-41239 url:https://www.hzdr.de/publications/Publ-37574 url:https://www.hzdr.de/publications/Publ-37766 doi:10.14278/rodare.2548 url:https://rodare.hzdr.de/communities/ecfunded 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://opensource.org/licenses/MIT material properties liquid metals molten salts YAML Python Yamdb - Yet Another Materials DataBase info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2248 2024-10-23T07:32:07Z openaire_data user-ecfunded user-rodare

Nikitin, Evgeny 2023-04-03 The research data contains reactor core models, homogenized cross section data, calculation results and post-processing scripts for the verification and validation of the coordinate transformation method for non-uniform radial expansions of SFR cores. https://rodare.hzdr.de/record/2248 10.14278/rodare.2248 oai:rodare.hzdr.de:2248 info:eu-repo/grantAgreement/EC/H2020/754501/ url:https://www.hzdr.de/publications/Publ-36616 url:https://www.hzdr.de/publications/Publ-37014 url:https://www.hzdr.de/publications/Publ-39781 url:https://www.hzdr.de/publications/Publ-36615 doi:10.14278/rodare.2247 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess SFR thermal expansion core flowering nodal diffusion DYN3D Data publication: Modelling of non-uniform core deformations in SFRs by using DYN3D with coordinate transformation method in the framework of the ESFR-SMART project Task1.4.3 info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3068 2025-03-03T14:05:46Z openaire_data user-ecfunded user-energy user-fwd user-rodare

Nash, William Sarma, Martins Lappan, Tobias Trtik, Pavel Solem, Cathrine K. W. Wang, Zhaohui Beltran, Alberto Weber, Norbert Weier, Tom 2024-07-29 Data and source code accompanying the publication Nash et al. (2024) Neutron imaging of high-temperature Na-Zn Cells: implications for cell design and fabrication. For the purposes of reproducing volume integration and self-discharge current calculations. https://rodare.hzdr.de/record/3068 10.14278/rodare.3068 oai:rodare.hzdr.de:3068 eng info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-39369 url:https://www.hzdr.de/publications/Publ-39367 doi:10.14278/rodare.3067 url:https://rodare.hzdr.de/communities/ecfunded 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 liquid metal batteries SOLSTICE neutron imaging Data publication: Diaphragm performance of high-temperature Na-Zn cells evaluated by Neutron Imaging info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3414 2025-02-20T06:54:15Z software user-rodare user-ecfunded

Duczek, Carolina Weber, Norbert 2025-01-20 The dataset contains a solver and testcase to model a liquid metal battery. The electric potential is solved in the complete cell, while solutal flow and species transport are simulated in the electrolyte only. https://rodare.hzdr.de/record/3414 10.14278/rodare.3414 oai:rodare.hzdr.de:3414 info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-40735 doi:10.1063/5.0253032 doi:10.14278/rodare.3413 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess speciesBoussinesqFoam: an OpenFOAM solver to model species transport, electric potential and solutal convection in electrolytes info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3591 2025-03-04T00:54:39Z software software software user-ecfunded user-rodare

Beckstein, Pascal Weber, Norbert 2025-01-16 The open dataset provides a PCG solver with special regularisation, which does not fix the field at one point, but its mean value instead. https://rodare.hzdr.de/record/3591 10.14278/rodare.3591 oai:rodare.hzdr.de:3591 info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-40655 doi:10.14278/rodare.3401 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 DeflatedPCG: a PCG solver with special regularisation info:eu-repo/semantics/other software

oai:rodare.hzdr.de:794 2025-07-18T10:19:40Z openaire_data user-ecfunded user-health user-rodare

Müller, Johannes Suckert, Theresa Beyreuther, Elke Schneider, Moritz Boucsein, Marc Bodenstein, Elisabeth Stolz-Kieslich, Liane Krause, Mechthild von Neubeck, Cläre Haase, Robert Lühr, Armin Dietrich, Antje 2021-01-20 The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations. https://rodare.hzdr.de/record/794 10.14278/rodare.794 oai:rodare.hzdr.de:794 eng info:eu-repo/grantAgreement/EC/H2020/730983/ url:https://www.hzdr.de/publications/Publ-32124 doi:10.14278/rodare.557 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Preclinical Image fusion Proton radiation Medical imaging Histology Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D. info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1849 2025-07-18T10:19:41Z openaire_data user-ecfunded user-health user-rodare

Müller, Johannes Suckert, Theresa Beyreuther, Elke Schneider, Moritz Boucsein, Marc Bodenstein, Elisabeth Stolz-Kieslich, Liane Krause, Mechthild Neubeck, Cläre Von Haase, Robert Lühr, Armin Dietrich, Antje Nexhipi, Sindi 2022-09-21 The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations. Note: There are ongoing corrections taking place with the B6 mouse strain data (P2A_B6_M1, P2A_B6_M2, P2A_B6_M6, P2A_B6_M10). If you are interested in working with these data, please wait for the new version to be uploaded or contact the authors of https://doi.org/10.1016/j.radonc.2023.109591 Chunked zip: The histological data are stored as chunked .zip files (*.zip.001 - *.zip.0XX). In order to unpack the data, download all chunks into the same directory, then unpack. https://rodare.hzdr.de/record/1849 10.14278/rodare.1849 oai:rodare.hzdr.de:1849 eng info:eu-repo/grantAgreement/EC/H2020/730983/ doi:10.3389/fonc.2020.598360 url:https://www.hzdr.de/publications/Publ-31469 url:https://www.hzdr.de/publications/Publ-32124 url:https://www.hzdr.de/publications/Publ-32394 url:https://www.hzdr.de/publications/Publ-32394 doi:10.1016/j.radonc.2023.109591 doi:10.14278/rodare.557 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Preclinical Image fusion Proton radiation Medical imaging Histology Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D. info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:39 2024-01-10T11:45:52Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Koller, Fabian Huebl, Axel 2018-07-07 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/39 10.14278/rodare.39 oai:rodare.hzdr.de:39 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:46 2024-01-10T11:45:53Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Koller, Fabian Huebl, Axel 2018-08-27 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/46 10.14278/rodare.46 oai:rodare.hzdr.de:46 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:59 2024-01-10T11:45:53Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Poeschel, Franz Koller, Fabian Huebl, Axel 2018-09-24 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/59 10.14278/rodare.59 oai:rodare.hzdr.de:59 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:119 2024-01-10T11:45:54Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Donnelly, Ray Koller, Fabian Poeschel, Franz Huebl, Axel 2019-03-09 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/119 10.14278/rodare.119 oai:rodare.hzdr.de:119 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:141 2024-01-10T11:45:54Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Donnelly, Ray Koller, Fabian Poeschel, Franz Huebl, Axel 2019-07-25 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/141 10.14278/rodare.141 oai:rodare.hzdr.de:141 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:209 2024-01-10T11:45:54Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Gu, Junmin Koller, Fabian Poeschel, Franz Huebl, Axel 2019-12-22 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. https://rodare.hzdr.de/record/209 10.14278/rodare.209 oai:rodare.hzdr.de:209 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:731 2024-01-10T11:45:55Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Koller, Fabian Poeschel, Franz Gu, Junmin Huebl, Axel 2021-01-08 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. https://rodare.hzdr.de/record/731 10.14278/rodare.731 oai:rodare.hzdr.de:731 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2277 2024-01-10T11:45:57Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Ganyushin, Dmitry Kirkham, John Schnetter, Erik Bez, Jean Luca Gruber, Bernhard Manfred Schild, Nils Huebl, Axel Poeschel, Franz Koller, Fabian Gu, Junmin 2023-04-03 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the CAMPA collaboration, a project of the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and Office of High Energy Physics, Scientific Discovery through Advanced Computing (SciDAC) program. Previously supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. https://rodare.hzdr.de/record/2277 10.14278/rodare.2277 oai:rodare.hzdr.de:2277 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:611 2023-01-24T14:42:34Z user-ecfunded user-rodare

Sommer, Anna-Elisabeth Heitkam, Sascha Eckert, Kerstin 2020-11-26 These videos are related to the publication "Collision phenomena between inertialess particles and bubbles: An experimental study with 4D PTV and tomographic PIV", submitted on the XXX to the Journal of Fluid Mechanics. They are the underlying raw videos of an exemplary leading and tailing edge collision trajectory which are analzed in Figure 7 and 8, respectivly. https://rodare.hzdr.de/record/611 10.14278/rodare.611 oai:rodare.hzdr.de:611 info:eu-repo/grantAgreement/EC/H2020/821265/ url:https://www.hzdr.de/publications/Publ-31794 doi:10.14278/rodare.610 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Froth Flotation 4D Particle Tracking Velocimetry (PTV) Bubble-Particle Collision Rising bubble chain Example videos of particles colliding with a rising bubble info:eu-repo/semantics/other video

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

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

oai:rodare.hzdr.de:2246 2023-11-06T10:41:54Z openaire_data user-ecfunded user-rodare

Nikitin, Evgeny 2023-02-23 Coupled Neutronic/Thermal-Hydraulic calculations of the European Sodium cooled Fast Reactor core with reactor simulator DYN3D in the framework of the H2020 ESFR-SMART project, Task 1.2.4. https://rodare.hzdr.de/record/2246 10.14278/rodare.2246 oai:rodare.hzdr.de:2246 info:eu-repo/grantAgreement/EC/H2020/754501/ url:https://www.hzdr.de/publications/Publ-36609 url:https://www.hzdr.de/publications/Publ-36608 url:https://www.hzdr.de/publications/Publ-36607 doi:10.14278/rodare.2245 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Data publication: ESFR-SMART T1.2.4 info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2262 2024-08-12T08:02:00Z openaire_data user-ecfunded user-rodare user-health user-matter user-elbe user-draco-elbe user-oncoray

Reimold, Marvin Assenbaum, Stefan Beyreuther, Elke Bodenstein, Elisabeth Brack, Florian-Emanuel Eisenmann, Christoph Englbrecht, F. Kroll, Florian Lindner, F. Masood, U. Pawelke, Jörg Schramm, Ulrich Schneider, Moritz Sobiella, Manfred Umlandt, Marvin Elias Paul Vescovi Pinochet, Milenko Andrés Zeil, Karl Ziegler, Tim Metzkes-Ng, Josefine 2023-04-18 The data set comprises raw data, processed data and detector data for the OCTOPOD detector applied for characterization of proton bunches at a proton cyclotron and a laser-driven proton accelerator. https://rodare.hzdr.de/record/2262 10.14278/rodare.2262 oai:rodare.hzdr.de:2262 eng info:eu-repo/grantAgreement/EC/H2020/871124/ doi:10.17815/jlsrf-2-58 doi:10.1017/hpl.2023.55 url:https://www.hzdr.de/publications/Publ-36823 url:https://www.hzdr.de/publications/Publ-36751 doi:10.14278/rodare.2261 url:https://rodare.hzdr.de/communities/draco-elbe url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/oncoray url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess laser-plasma acceleration of protons proton detector tomographic reconstruction Data publication for: OCTOPOD - single bunch tomography for angular-spectral characterization of laser-driven protons info:eu-repo/semantics/other dataset

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

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

oai:rodare.hzdr.de:807 2024-08-13T12:15:05Z user-fwi user-ecfunded user-matter user-rodare user-ibc

von Borany, Johannes Engelmann, Hans-Jürgen 2021-02-09 Energy-filtered transmission electron microscopy (EFTEM) images of stacked Si/SiO2/Si nanopillars https://rodare.hzdr.de/record/807 10.14278/rodare.807 oai:rodare.hzdr.de:807 info:eu-repo/grantAgreement/EC/H2020/688072/ doi:10.17815/jlsrf-3-159 doi:10.1016/j.mne.2020.100074 url:https://www.hzdr.de/publications/Publ-32276 url:https://www.hzdr.de/publications/Publ-32129 doi:10.14278/rodare.806 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/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Sub-20 nm multilayer nanopillar patterning for hybrid SET/CMOS integration: Figs. 1a, 1b and 5 info:eu-repo/semantics/other image-figure

oai:rodare.hzdr.de:1288 2024-08-08T10:37:03Z openaire_data user-ecfunded user-rodare user-elbe

Prencipe, Irene Metzkes-Ng, Josefine Pazzaglia, Andrea Bernert, Constantin Dellasega, David Fedeli, Luca Formenti, Arianna Garten, Marco Kluge, Thomas Kraft, Stephan Laso García, Alejandro Maffini, Alessandro Obst-Hübl, Lieselotte Rehwald, Martin Sobiella, Manfred Zeil, Karl Schramm, Ulrich Cowan, Thomas Passoni, Matteo 2021-12-03 Archiving of raw and results data and scripts as describef in the associated paper https://rodare.hzdr.de/record/1288 10.14278/rodare.1288 oai:rodare.hzdr.de:1288 eng info:eu-repo/grantAgreement/EC/H2020/871124/ info:eu-repo/grantAgreement/EC/H2020/647554/ url:https://www.hzdr.de/publications/Publ-33045 url:https://www.hzdr.de/publications/Publ-33061 doi:10.14278/rodare.1287 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess laser-driven ion acceleration laser-driven Bremsstrahlung generation TNSA near-critical density plasma nanostructured targets foam targets Data publication: Efficient laser-driven proton and Bremsstrahlung generation from cluster-assembled foam targets info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:915 2025-07-18T10:19:41Z openaire_data user-ecfunded user-health user-rodare

Müller, Johannes Suckert, Theresa Beyreuther, Elke Schneider, Moritz Boucsein, Marc Bodenstein, Elisabeth Stolz-Kieslich, Liane Krause, Mechthild von Neubeck, Cläre Haase, Robert Lühr, Armin Dietrich, Antje 2021-01-20 The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations. Chunked zip: The histological data are stored as chunked .zip files (*.zip.001 - *.zip.0XX). In order to unpack the data, download all chunks into the same directory, then unpack. https://rodare.hzdr.de/record/915 10.14278/rodare.915 oai:rodare.hzdr.de:915 eng info:eu-repo/grantAgreement/EC/H2020/730983/ url:https://www.hzdr.de/publications/Publ-32124 url:https://www.hzdr.de/publications/Publ-31469 doi:10.14278/rodare.557 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Preclinical Image fusion Proton radiation Medical imaging Histology Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D. info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1150 2024-08-08T10:36:21Z openaire_data user-ecfunded user-matter user-rodare user-elbe

Kovalev, Sergey Tielrooij, K.-J. Deinert, Jan-Christoph Ilyakov, Igor Chen, Min Ponomaryov, Oleksiy Oliveira, Thales de Eng, L. M. Gensch, Michael 2021-09-09 This research data publication contains: - Experimental datasets which were evaluated and presented in the corresponding article. - Origin software file that contains the raw data as well as the different steps of the data analysis, the results of which are presented in the article. https://rodare.hzdr.de/record/1150 10.14278/rodare.1150 oai:rodare.hzdr.de:1150 info:eu-repo/grantAgreement/EC/H2020/737038/ info:eu-repo/grantAgreement/EC/H2020/804349/ url:https://www.hzdr.de/publications/Publ-32361 url:https://www.hzdr.de/publications/Publ-33099 doi:10.14278/rodare.1149 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Terahertz Ultrafast Harmonic Generation Topological Insulators Surface Science Dirac Material Research data: Terahertz signatures of ultrafast Dirac fermion relaxation at the surface of topological insulators info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:34 2024-01-10T11:45:52Z software user-ecfunded user-rodare

Koller, Fabian Huebl, Axel 2018-06-18 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/34 10.14278/rodare.34 oai:rodare.hzdr.de:34 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://github.com/openPMD/openPMD-api/tree/0.3.0-alpha doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:74 2024-01-10T11:45:53Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Donnelly, Ray Koller, Fabian Poeschel, Franz Huebl, Axel 2019-01-11 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/74 10.14278/rodare.74 oai:rodare.hzdr.de:74 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:208 2024-01-10T11:45:54Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Koller, Fabian Poeschel, Franz Huebl, Axel 2019-12-17 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/208 10.14278/rodare.208 oai:rodare.hzdr.de:208 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:273 2024-01-10T11:45:55Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Koller, Fabian Poeschel, Franz Gu, Junmin Huebl, Axel 2020-03-24 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. https://rodare.hzdr.de/record/273 10.14278/rodare.273 oai:rodare.hzdr.de:273 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1120 2024-01-10T11:45:56Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Ganyushin, Dmitry Kirkham, John Schnetter, Erik Huebl, Axel Poeschel, Franz Koller, Fabian Gu, Junmin 2021-08-05 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. https://rodare.hzdr.de/record/1120 10.14278/rodare.1120 oai:rodare.hzdr.de:1120 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1121 2024-01-10T11:45:56Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Ganyushin, Dmitry Kirkham, John Schnetter, Erik Huebl, Axel Poeschel, Franz Koller, Fabian Gu, Junmin 2021-08-18 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. https://rodare.hzdr.de/record/1121 10.14278/rodare.1121 oai:rodare.hzdr.de:1121 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:1534 2024-01-10T11:45:56Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Ganyushin, Dmitry Kirkham, John Schnetter, Erik Bez, Jean Luca Huebl, Axel Poeschel, Franz Koller, Fabian Gu, Junmin 2022-04-07 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. https://rodare.hzdr.de/record/1534 10.14278/rodare.1534 oai:rodare.hzdr.de:1534 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2447 2026-01-19T10:33:51Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Ganyushin, Dmitry Kirkham, John Schnetter, Erik Bez, Jean Luca Gruber, Bernhard Manfred Schild, Nils Hübl, Axel Pöschel, Franz Koller, Fabian Gu, Junmin 2023-08-19 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the CAMPA collaboration, a project of the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and Office of High Energy Physics, Scientific Discovery through Advanced Computing (SciDAC) program. Previously supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. https://rodare.hzdr.de/record/2447 10.14278/rodare.2447 oai:rodare.hzdr.de:2447 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.33624 url:https://github.com/openPMD/openPMD-api/tree/0.10.1-alpha url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:671 2021-11-29T14:32:53Z openaire_data user-ecfunded user-rodare

Vogel, Karin Chekhonin, Paul Bergner, Frank 2020-12-15 The dataset covers the raw/processed data required to reproduce the findings derived in the publication "Depth distribution of irradiation-induced dislocation loops in an Fe-9Cr model alloy irradiated with Fe ions: The effect of ion energy" by K. Vogel, P. Chekhonin, C. Kaden, M. Hernández-Mayoral, S. Akhmadaliev and F. Bergner. The whole set of original figures included in the publication is included as TIFF files. Supplementary material is provided as follows: G385_xMeV_loop_count.pptx: Powerpoint files related to the estimation of the loop concentrations for the 1 MeV and 5 MeV irradiations, Image_FIB_Position_Final.pptx: Powerpoint file showing the way how the 5 MeV FIB lamella was taken, Loop_size_xMeV_Slicey.xlsx: Excel files related to the sizing of loops utilized to derive the histograms of the loops sizes, Thickness_Profile_CBED_5MeV.xlsx: Thickness measurement for 5 MeV using the method of CBED. https://rodare.hzdr.de/record/671 10.14278/rodare.671 oai:rodare.hzdr.de:671 eng info:eu-repo/grantAgreement/EC/H2020/755039/ url:https://www.hzdr.de/publications/Publ-31890 url:https://www.hzdr.de/publications/Publ-31891 doi:10.14278/rodare.670 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/closedAccess Fe-9Cr Ion irradiation Cross-sectional scanning transmission electron microscopy (STEM) Dataset for the publication "Depth distribution of irradiation-induced dislocation loops in an Fe-9Cr model alloy irradiated with Fe ions: The effect of ion energy" info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:118 2024-08-08T07:58:12Z openaire_data user-ecfunded user-energy user-fwk user-fwkk user-nelbe user-rodare user-elbe

Kögler, Toni 2019-03-06 This dataset includes the processed data of the fast neutron-induced fission of Pu(242) experiement performed in November 2014 at the neutron time-of-flight facility nELBE which was published in T. Kögler et al., Phys. Rev. C 99, 024604 It contains the absolute (Pu242_nfis_Koegler_2019.csv) and relative (Pu242_U235_nfis_Koegler_2019.csv) cross section data ranging from 0.5 MeV to 10 MeV. The cross section data is given in comma separated ASCII files, as well as in a MS Excel-Sheet. The columns of the tables are defined as follows: EN...neutron kinetic energy from the measured time of flight (ToF) EN-ERR...uncertainty of neutron kinetic energy = 0.5*(ToF bin width) = 1 ns DATA...cross section data ERR-S...statistical uncertainty of the cross section data ERR-SY...systematic uncertainty of the cross section data ERR-T...combined standard uncertainty of the cross section data ERR-0...relative uncertainty counting ERR-1...relative uncertainty normalization ERR-2...relative uncertainty reference cross section ERR-3...relative uncertainty FF detection inefficiency ERR-4...relative stat. uncertainty scattering correction H19 ERR-5...relative sys. uncertainty scattering correction H19 ERR-6...relative stat. uncertainty scattering correction PuFC ERR-7...relative sys. uncertainty scattering correction PuFC Additionally, a root (see https://root.cern.ch/) file is supplied, including the determined cross sections and all nessessary data to reconstruct the experiment. This includes the measured quantities, reference data, correction factors, evaluated cross sections etc. To have the whole functionality of the root file, additional libary files (libGo4UserAnalysis.rootmap, libGo4UserAnalysis.so and libGo4UserAnalysis_rdict.pcm) are also given here. This work was supported by the German Federal Ministry of Education and Research under Contract No. 02NUK13A and by the European Commission within the 7th Framework Programme Fission-2013-CHANDA (Project No. 605203). https://rodare.hzdr.de/record/118 10.14278/rodare.118 oai:rodare.hzdr.de:118 eng info:eu-repo/grantAgreement/EC/FP7/605203/ doi:10.17815/jlsrf-2-58 doi:10.58065/24017 url:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-223314 url:https://www.hzdr.de/publications/Publ-26338 url:https://www.hzdr.de/publications/Publ-28878 doi:10.1103/PhysRevC.99.024604 doi:10.1103/PhysRevC.99.024604 url:https://www.hzdr.de/publications/Publ-28970 url:https://www.hzdr.de/publications/Publ-26338 url:https://www.hzdr.de/publications/Publ-28878 doi:10.14278/rodare.117 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/energy url:https://rodare.hzdr.de/communities/fwk url:https://rodare.hzdr.de/communities/fwkk url:https://rodare.hzdr.de/communities/nelbe url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode neutron-induced fission plutonium-242 cross section measurements nuclear reactions nucleon induced nuclear reactions nELBE Fast-neutron-induced fission cross section of Pu(242) measured at the neutron time-of-flight facility nELBE info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:790 2021-04-09T06:15:15Z openaire_data user-ecfunded user-rodare

Ogbonna, Jude Echezona Garcia Gonzalez, Fernando Gundrum, Thomas Seilmayer, Martin Stefani, Frank 2020-09-16 Experimental data, numerical data, and programming scripts https://rodare.hzdr.de/record/790 10.14278/rodare.790 oai:rodare.hzdr.de:790 info:eu-repo/grantAgreement/EC/H2020/787544/ doi:10.1063/5.0029570 url:https://www.hzdr.de/publications/Publ-32239 url:https://www.hzdr.de/publications/Publ-31523 doi:10.14278/rodare.789 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data for: Experimental investigation of the return flow instability in magnetic spherical Couette flow info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:393 2025-09-17T13:01:16Z openaire_data user-ecfunded user-rodare

De La Rosa Fernandez, Roberto Alejandro Tolosana Delgado, Raimon Gloaguen, Richard 2020-07-02 A benchmarking databank based on different spectral, multiscale, multisensor exploration technologies was created. The benchmarking is composed of 63 rock samples from drill cores from a polymetallic (Cu-Zn-Pb) massive sulphide deposit in the Iberian Pyrite Belt. The samples had been analyzed by portable XRF, point hyperspectral spectrometer, portable FTIR, VNIR-SWIR imaging hyperspectral sensor and a LWIR imaging thermal hyperspectral sensor. The mineralogical information from the boreholes will be complemented with mineral chemistry extracted from the spectral features of the alteration minerals that display chemical variations. The chemical variations in minerals generate shifts on the position of the metal-OH vibrational absorptions. This systematic variation can be recorded using the SWIR wavelength region of hyperspectral data. The shifts sometimes occur systematically with respect to ore deposits and hence mineral chemical information extracted from hyperspectral surveys can be used for mineral exploration. The mineral chemistry of the samples will be validated using scanning electron microscopy data integrated with the mineral liberation analysis (SEM-MLA). In order to apply this type of research techniques aiming at a 3D model of the alteration areas of the entire deposit based on the hyperspectral data, it is essential to have the availability of drill cores along the whole extension of the mineral deposit. Consequently, the research was focused in a study area in the Southern Spain, the Elvira deposit of the MATSA–VALORIZA mining company, where 7 km of drill core were scanned with the hyperspectral sensors. New exploration technologies (NEXT) is a project that has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement nº 776804. https://rodare.hzdr.de/record/393 10.14278/rodare.393 oai:rodare.hzdr.de:393 eng info:eu-repo/grantAgreement/EC/H2020/776804/ url:https://www.hzdr.de/publications/Publ-31281 url:https://www.hzdr.de/publications/Publ-31373 doi:10.14278/rodare.392 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Benchmarking Hyperspectral Drill core scanner pFTIR PXRF VNIR - SWIR - LWIR Benchmark hyperspectral field and laboratory data against X-ray diffraction (XRD), Portable X-ray fluorescence (pXRF) and Scanning Electron Microscopy with Mineral Liberation Analysis (SEM-MLA) data. info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3400 2025-03-03T19:11:15Z software user-rodare user-ecfunded

Weber, Norbert Galindo, Vladimir 2025-01-16 The open dataset includes an ultasound doppler velocimetry beam model to compare flow simulations in OpenFOAM with measured data. https://rodare.hzdr.de/record/3400 10.14278/rodare.3400 oai:rodare.hzdr.de:3400 info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-40656 doi:10.14278/rodare.3399 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess An ultrasound doppler velocimetry beam model info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2110 2024-08-09T12:40:30Z openaire_data user-ecfunded user-rodare user-elbe user-telbe

Vít, Jakub Repček, Dalibor Kadlec, Christelle Kadlec, Filip Adhlakha, Nidhi Di Pietro, Paola Piccirilli, Federica Kovalev, Sergey Deinert, Jan-Christoph Ilyakov, Igor Awari, Nilesh Chen, Min Buršík, Josef Bae Park, Chang Hoon Kim, Kee Gensch, Michael Perucchi, Andrea Kamba, Stanislav 2023-01-27 Datasets measured at the TELBE THz facility consisting of raw (time-sorted) data and binned data that was used for further analysis. The xlsx-file contains measured THz powers. Metadata can be found in labbook file zip archive. Final data analysis was performed by Jakub Vít. https://rodare.hzdr.de/record/2110 10.14278/rodare.2110 oai:rodare.hzdr.de:2110 eng info:eu-repo/grantAgreement/EC/H2020/730872/ doi:10.17815/jlsrf-2-58 doi:10.7566/JPSJ.91.104703 url:https://www.hzdr.de/publications/Publ-36418 url:https://www.hzdr.de/publications/Publ-36415 doi:10.14278/rodare.2109 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 Multiferroics Hexaferrites Electromagnons Nonlinear dynamics Research data: Search for nonlinear thz absorption by electromagnons in multiferroic hexaferrites info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1463 2022-03-07T07:36:03Z openaire_data user-ecfunded user-rodare

Glavinic, Ivan Muttakin, Imamul Abouelazayem, Shereen Blishchik, Artem Stefani, Frank Eckert, Sven Soleimani, Manuchehr Saidani, Iheb Hlava, Jaroslav Kenjeres, Sasa Wondrak, Thomas 2022-03-02 Dataset containing the raw and post-processed data used for in the associated publication. Scripts for evaluating the data are attached. https://rodare.hzdr.de/record/1463 10.14278/rodare.1463 oai:rodare.hzdr.de:1463 info:eu-repo/grantAgreement/EC/H2020/764902/ url:https://www.hzdr.de/publications/Publ-34346 url:https://www.hzdr.de/publications/Publ-34245 doi:10.14278/rodare.1462 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: Laboratory investigation of tomography-controlled continuous steel casting info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3963 2025-09-15T07:23:02Z openaire_data user-ecfunded user-nelbe user-rodare user-elbe

Junghans, Arnd Beyer, Roland Capote, Roberto Bemmerer, Daniel Hensel, Thomas Kögler, Toni Müller, Stefan Römer, Katja Schmidt, Konrad Schwengner, Ronald Turkat, Steffen Turko, Joseph Alexander Bunker Urlaß, Sebastian 2025-09-12 This data set contains the measured neutron transmission data from 20mm, 50mm, 90mm Fe samples from nELBE as shown in the publication A. Junghans, et al. Annals of Nuclear Energy 218 (2025) 111363 https://rodare.hzdr.de/record/3963 10.14278/rodare.3963 oai:rodare.hzdr.de:3963 eng info:eu-repo/grantAgreement/EC/H2020/847594/ doi:10.58065/24017 url:https://www.hzdr.de/publications/Publ-40115 url:https://www.hzdr.de/publications/Publ-41832 doi:10.14278/rodare.3962 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/nelbe url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode neutron time-of-flight nELBE thick Fe samples neutron transmission Research Data for the publication "Neutron transmission measurement of thick nat-Fe targets at nELBE" (ANE 218 (2025) 111363) info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:2547 2025-04-22T05:23:35Z software user-fwd user-ecfunded user-energy user-rodare

Weier, Tom Nash, William Personnettaz, Paolo Weber, Norbert 2023-11-05 Goma (GO MAterials database) is a program enabling command line access to the YAML files distributed with Yamdb. It implements the equations necessary to calculate the thermophysical properties from the coefficients stored in the YAML database. Yamdb (Yet another materials data base) and Goma address the need to provide thermophysical properties of liquid metals and molten salts in an easily accessible manner. Mathematical relations describing material properties - usually determined by experiment - are taken from the literature. Equations and their coefficients are stored separately. The former can be implemented in any programming language (Go in this case) and the latter are kept in YAML files together with additional information (source, temperature range, composition, accuracy if available, etc). https://rodare.hzdr.de/record/2547 10.14278/rodare.2547 oai:rodare.hzdr.de:2547 eng info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-41239 url:https://www.hzdr.de/publications/Publ-37574 url:https://www.hzdr.de/publications/Publ-37765 doi:10.14278/rodare.2546 url:https://rodare.hzdr.de/communities/ecfunded 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://opensource.org/licenses/MIT material properties liquid metal molten salts YAML Go Goma - using Yamdb material databases from the commandline info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2893 2024-05-30T08:35:54Z software user-ecfunded user-rodare

Duczek, Carolina Horstmann, Gerrit Maik Ding, Wenjin Einarsrud, Kristian Etienne Gelfgat, Alexander Y. Godinez-Brizuela, Omar E. Kjos, Ole S. Landgraf, Steffen Lappan, Tobias Monrrabal Marquez, Gleidys Nash, William Personnettaz, Paolo Sarma, Martins Sommerseth, Camilla Trtik, Pavel Weber, Norbert Weier, Tom 2024-05-29 The dataset contains python scripts to reproduce the Turner diagram (double diffusive convection), the image on voltage efficiency and the 1D temperature profile. https://rodare.hzdr.de/record/2893 10.14278/rodare.2893 oai:rodare.hzdr.de:2893 info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-39159 url:https://www.hzdr.de/publications/Publ-39158 doi:10.14278/rodare.2892 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data publication: Fluid mechanics of Na-Zn liquid metal batteries info:eu-repo/semantics/other software

oai:rodare.hzdr.de:552 2024-08-08T10:41:03Z openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data openaire_data user-ecfunded user-rodare user-elbe

Awari, Nilesh Deinert, Jan-Christoph 2020-10-19 Collection of raw data and evaluated data for the CoFeB experiments carried out in collaboration with Stefano Bonetti et al. https://rodare.hzdr.de/record/552 10.14278/rodare.552 oai:rodare.hzdr.de:552 info:eu-repo/grantAgreement/EC/H2020/737038/ info:eu-repo/grantAgreement/EC/H2020/715452/ info:eu-repo/grantAgreement/EC/H2020/654220/ info:eu-repo/grantAgreement/EC/H2020/730872/ url:https://www.hzdr.de/publications/Publ-31612 doi:10.1038/s41567-020-01040-y url:https://www.hzdr.de/publications/Publ-29815 doi:10.14278/rodare.551 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/elbe url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess Spin dynamics nutation CoFeB Terahertz Raw data: CoFeB beamtime overview info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:1143 2024-08-12T13:26:59Z openaire_data user-hzdr user-fwi user-ecfunded user-rodare user-ibc

Samad, Fabian Hlawacek, Gregor Arekapudi, Sri Sai Phani Kanth Xu, Xiaomo Koch, Leopold Lenz, Miriam Hellwig, Olav 2021-09-06 This data contains results from magnetometry and magnetic force microscopy from the irradiated synthetic antiferromagnets. https://rodare.hzdr.de/record/1143 10.14278/rodare.1143 oai:rodare.hzdr.de:1143 info:eu-repo/grantAgreement/EC/H2020/688072/ url:https://www.hzdr.de/publications/Publ-33090 url:https://www.hzdr.de/publications/Publ-33091 doi:10.14278/rodare.1142 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/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Bubble domains Focused ion beam Sputter deposition Interlayer exchange coupling Magnetic hysteresis Data publication: Controlled and deterministic creation of synthetic antiferromagnetic domains by focused ion beam irradiation info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3596 2025-03-10T09:05:02Z software user-ecfunded user-rodare

Personnettaz, Paolo Weber, Norbert 2025-03-04 The software repository contains a solver to model heat and mass transfer in several regions with OpenFOAM. Heat transport is modelled in the full domain, while fluid dynamics is solved in each layer separately. Mass transfer is simulated only in the bottom layer. The dataset further contains a testcase of a Li-Bi liquid metal battery. https://rodare.hzdr.de/record/3596 10.14278/rodare.3596 oai:rodare.hzdr.de:3596 info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-41056 doi:10.1016/j.ijheatmasstransfer.2022.122555 doi:10.14278/rodare.3595 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/GPL-3.0 hMtMrFoam - Heat and Mass Transport Multiregion Solver info:eu-repo/semantics/other software

oai:rodare.hzdr.de:2283 2024-01-09T12:43:30Z openaire_data user-ecfunded user-rodare

Chakankar, Mital Vivek Pollmann, Katrin Rudolph, Martin 2023-05-03 Rhamnolipids have received great attention in various environmental applications in terms of metal complexation and recovery. However, the influence of metal ions on the interfacial, foaming, and ion flotation properties of rhamnolipid are poorly investigated. In this study we investigated the effect of metal ions alone and in a mixed metal system on the interfacial and foaming properties of rhamnolipid. Further, the potential of rhamnolipid to recover and separate Gallium from a mixed metal system containing Gallium (Ga) and Arsenic (As) using bioionflotation has been investigated. The effect of operating parameters like pH, rhamnolipid concentration, and airflow rate were tested and found to have a significant influence on the separation performance. The maximum removal of Ga could reach 74 % when rhamnolipid concentration was 0.85 mM at pH 6 and an airflow rate of 80 ml/min. The selectivity index of Ga over As was highest (17.2) at 0.85 mM rhamnolipid concentration, pH 6, and an airflow rate of 40 ml/min. Also, the selective separation of Ga was dependent on the recovery of water from the foam. The results showed that rhamnolipid biosurfactant acted as a highly efficient ion collector for Ga and the optimized process parameters could be expected to provide very efficient separation and recovery of target metal via ion flotation. https://rodare.hzdr.de/record/2283 10.14278/rodare.2283 oai:rodare.hzdr.de:2283 info:eu-repo/grantAgreement/EC/H2020/841437/ url:https://www.hzdr.de/publications/Publ-36908 url:https://www.hzdr.de/publications/Publ-36836 doi:10.14278/rodare.2282 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Rhamnolipid gallium arsenic ion flotation selectivity metal recovery water recovery Data publication: Selective removal of Gallium from mixed metal solutions with Arsenic by ion flotation using the biosurfactant rhamnolipid info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:715 2024-10-25T15:53:16Z openaire_data user-ecfunded user-rodare

Schach, Edgar Padula, Flavio Buchmann, Markus Möckel, Robert Ebert, Doreen Pereira, Lucas Kern, Marius Leißner, Thomas Pashkevich, Dzimitry Sousa, Rui Bremerstein, Irina Breuer, Ben Oliver, Karen Seltmann, Reimar Reimer, Wolfgang Wotruba, Hermann Filippov, Lev Peuker, Urs Rudolph, Martin Broadbent, Chris Roscher, Marco Boogaart, Karl Gerald van den 2021-01-06 This data set derives from a pilot plant campaign for the beneficiation of a complex tin bearing skarn ore, including different separation and classification steps. The aim of the pilot plant test work was to prove a flowsheet that had been developed based on detailed geometallurgical analysis and results from the research projects AFK (Aufbereitung feinkörniger Komplexerze, BMBF grant number 033R128) and FAME (European Union grant 641650) to produce a cassiterite concentrate for tin production, and further preconcentrates for iron, zinc, copper, indium, and arsenic. The tin mineralization is partially well localized in cassiterite, but also partially finely disseminated and thus unrecoverable as minor components in other minerals. The iron is located in magnetic and nonmagnetic iron oxides sometimes intergrown with cassiterite. Therefore, iron concentrates are recovered at larger grain sizes but need a further tin recovery step not implemented in the reported experiment. The other elements are mainly deported in sulfides, which are bulk recovered in a flotation step. A subsequent selective flotation is needed to recover them individually. This selective flotation is, however, not part of the reported experiment. The two tin concentrates recovered from the shaking table should be considered as preconcentrates, that can be enriched further e.g. through multi-stage gravity separation. The motivation for this data set is to provide a consistent basis for the application of new particle based geometallurgical methods enabled by automated mineralogy (e.g. Buchmann et al. 2018; Schach et al. 2019; Buchmann et al. 2020; Pereira et al. 2020). In addition, it should also allow for the comparison and evaluation of different analytical methods, which were used during the pilot plant experiments to generate a validated data set for the whole plant and to correlate different result from various methods. This is the basis for further investigations enabling the application of various analyzing methods in a synergetic way. Those synergies can help in the future to compensate drawbacks of certain methods by an adequate combination of multiple approaches. This repository includes raw data and processed data from November 19, 2018. The following data is included: X-ray fluorescence spectroscopy (XRF) X-ray diffraction (XRD) Automated Mineralogy (MLA) The balanced mass flows and element/mineral grades for the XRF- and the MLA data External certified analysis including different inductive coupled plasma (ICP) and XRF methods from ALS R scripts for the mass balance Please find further information in the "supplementary information" file https://rodare.hzdr.de/record/715 10.14278/rodare.715 oai:rodare.hzdr.de:715 info:eu-repo/grantAgreement/EC/H2020/641650/ url:https://www.hzdr.de/publications/Publ-32180 url:https://www.hzdr.de/publications/Publ-39798 doi:10.14278/rodare.714 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Data from a pilot plant experiment for the processing of a complex tin skarn ore - 19.11.2018 info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3352 2025-03-03T14:05:46Z openaire_data user-ecfunded user-energy user-fwd user-rodare

Nash, William Sarma, Martins Lappan, Tobias Trtik, Pavel Solem, Cathrine K. W. Wang, Zhaohui Beltran, Alberto Weber, Norbert Weier, Tom Duczek, Carolina 2024-07-29 Data and source code accompanying the publication Nash et al. (2024) Diaphragm performance of high-temperature Na-Zn cells evaluated by Neutron Imaging. Files relate to calculations performed in the article concerning volume integration, salt contraction and self-discharge. https://rodare.hzdr.de/record/3352 10.14278/rodare.3352 oai:rodare.hzdr.de:3352 eng info:eu-repo/grantAgreement/EC/H2020/963599/ doi:10.1016/j.est.2025.115542 url:https://www.hzdr.de/publications/Publ-39369 url:https://www.hzdr.de/publications/Publ-39367 doi:10.14278/rodare.3067 url:https://rodare.hzdr.de/communities/ecfunded 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 liquid metal batteries SOLSTICE neutron imaging Data publication: Diaphragm performance of high-temperature Na-Zn cells evaluated by Neutron Imaging info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:3402 2025-03-03T19:16:26Z software user-ecfunded user-rodare

Beckstein, Pascal Weber, Norbert 2025-01-16 The open dataset provides a PCG solver with special regularisation, which does not fix the field at one point, but its mean value instead. https://rodare.hzdr.de/record/3402 10.14278/rodare.3402 oai:rodare.hzdr.de:3402 info:eu-repo/grantAgreement/EC/H2020/963599/ url:https://www.hzdr.de/publications/Publ-40655 doi:10.14278/rodare.3401 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/restrictedAccess DeflatedPCG: a PCG solver with special regularisation info:eu-repo/semantics/other software

oai:rodare.hzdr.de:3131 2025-07-18T11:18:48Z openaire_data user-ecfunded user-health user-rodare

Müller, Johannes Suckert, Theresa Beyreuther, Elke Schneider, Moritz Boucsein, Marc Bodenstein, Elisabeth Stolz-Kieslich, Liane Krause, Mechthild Neubeck, Cläre Von Haase, Robert Lühr, Armin Dietrich, Antje Nexhipi, Sindi 2022-09-21 The dataset contains comprehensive image data for a total of nine mice, which underwent normal tissue brain irradiation with 90 MeV protons. In particular, the image data comprise cone-bem computed tomographies (CBCT), Monte Carlo beam transport simulations based on those CTs, regular magnetic resonance imaging (MRI) follow-up (≥ 26 weeks), a co-aligned DSURQE mouse brain atlas and scanned whole-brain tissue sections with histochemical and immunofluorescent markers for morphology (H&E), cell nuclei (DAPI), astrocytes (GFAP), microglia (Iba1), the intermediate filament protein Nestin, proliferation (Ki67), neurons (NeuN) and oligodendrocytes (OSP). The volumetric image data (i.e. CBCT, MRI and brain atlas) were co-aligned using the ImageJ plugin Big Warp. The CBCT data was used as spatial reference to allow for mask-based, slice-wise alignment of CBCT and light microscopy image data in 3D with the scriptable registration tool Elastix. We provide the data in raw format and as aligned data sets, as well as their spatial transformations. https://rodare.hzdr.de/record/3131 10.14278/rodare.3131 oai:rodare.hzdr.de:3131 eng info:eu-repo/grantAgreement/EC/H2020/730983/ doi:10.3389/fonc.2020.598360 url:https://www.hzdr.de/publications/Publ-31469 url:https://www.hzdr.de/publications/Publ-32124 url:https://www.hzdr.de/publications/Publ-32394 url:https://www.hzdr.de/publications/Publ-32394 doi:10.1016/j.radonc.2023.109591 doi:10.14278/rodare.557 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Preclinical Image fusion Proton radiation Medical imaging Histology Slice2Volume: Fusion of multimodal medical imaging and light microscopy data of irradiation-injured brain tissue in 3D. info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:116 2019-03-06T14:02:35Z openaire_data user-ecfunded user-health user-hzdr user-matter user-rodare

Huebl, Axel Rehwald, Martin Obst-Huebl, Lieselotte Ziegler, Tim Garten, Marco Widera, René Zeil, Karl Cowan, Thomas E. Bussmann, Michael Schramm, Ulrich Kluge, Thomas 2019-03-06 Supplementary materials for our paper "Spectral Control via Multi-Species Effects in PW-Class Laser-Ion Acceleration". Additional high-resolution, raw HDF5 files using the openPMD standard (DOI:10.5281/zenodo.1167843) increase simulation output data to 4.7 TByte and are available from the corresponding author upon reasonable request. This project received funding within the MEPHISTO project (BMBF-Förderkennzeichen 01IH16006C). https://rodare.hzdr.de/record/116 10.14278/rodare.116 oai:rodare.hzdr.de:116 eng info:eu-repo/grantAgreement/EC/H2020/654148/ url:https://www.hzdr.de/publications/Publ-28969 doi:10.14278/rodare.115 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/health url:https://rodare.hzdr.de/communities/hzdr url:https://rodare.hzdr.de/communities/matter url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-sa/4.0/legalcode LPA laser-ion acceleration TNSA multi-species cryogenic target particle-in-cell Supplementary Data: Spectral Control via Multi-Species Effects in PW-Class Laser-Ion Acceleration info:eu-repo/semantics/other dataset

oai:rodare.hzdr.de:58 2024-01-10T11:45:53Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Poeschel, Franz Koller, Fabian Huebl, Axel 2018-09-20 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/58 10.14278/rodare.58 oai:rodare.hzdr.de:58 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:67 2024-01-10T11:45:53Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Poeschel, Franz Koller, Fabian Huebl, Axel 2018-11-12 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. https://rodare.hzdr.de/record/67 10.14278/rodare.67 oai:rodare.hzdr.de:67 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:260 2024-01-10T11:45:55Z software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Koller, Fabian Poeschel, Franz Gu, Junmin Huebl, Axel 2020-03-06 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. https://rodare.hzdr.de/record/260 10.14278/rodare.260 oai:rodare.hzdr.de:260 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 url:https://www.hzdr.de/publications/Publ-27579 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software

oai:rodare.hzdr.de:798 2024-01-10T11:45:55Z software software user-ecfunded user-rodare

Fortmann-Grote, Carsten Stańczak, Dominik Amundson, James Donnelly, Ray Widera, René Zenker, Erik Bastrakov, Sergei Lehe, Rémi Amorim, Lígia Diana Bastrakova, Kseniia Pausch, Richard Ordyna, Paweł Koller, Fabian Poeschel, Franz Gu, Junmin Huebl, Axel 2021-02-02 openPMD is an open metadata format for open data workflows in open science. This library provides a common high-level API for openPMD writing and reading. It provides a common interface to I/O libraries and file formats such as HDF5 and ADIOS. Where supported, openPMD-api implements both serial and MPI parallel I/O capabilities. Supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration). Supported by the Consortium for Advanced Modeling of Particles Accelerators (CAMPA), funded by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231. This work was partially funded by the Center of Advanced Systems Understanding (CASUS), which is financed by Germany's Federal Ministry of Education and Research (BMBF) and by the Saxon Ministry for Science, Culture and Tourism (SMWK) with tax funds on the basis of the budget approved by the Saxon State Parliament. https://rodare.hzdr.de/record/798 10.14278/rodare.798 oai:rodare.hzdr.de:798 info:eu-repo/grantAgreement/EC/H2020/654220/ doi:10.5281/zenodo.1167843 doi:10.5281/zenodo.1069534 doi:10.5281/zenodo.33624 doi:10.14278/rodare.27 url:https://rodare.hzdr.de/communities/ecfunded url:https://rodare.hzdr.de/communities/rodare info:eu-repo/semantics/openAccess https://opensource.org/licenses/LGPL-3.0 openPMD Open Science Open Data HDF5 ADIOS data MPI HPC research file-format file-handling C++ & Python API for Scientific I/O with openPMD info:eu-repo/semantics/other software .eJyVz82OgjAUBeB36dqZUH7VxIUOqDhDUWhR3JhaKgqVIYpBa3z36axcGpf35ss5OXdw5jwDfe0Tdm3HNLWuo-umY9mwA2qac9DXO6Bs6Sk_g_4dHHlDM9rQ-YnvDlfQB7_0sMkY6KiYRp2XMz99cLa7VJlKfag3O_0KsTmoCsBWiWCVIHSSXKJjoqV67gR46CCZW4FbSlQM7WRaF1iDcyRnhEyISWJYLD12yybZmuAzDApyQ5hdQ5fZmVE2dAmvK2MUx0f4FXu9ReL6VlR6jbJG6JZtiAOIZE34Ec0x6RqBiBZrvI9-liiN5ExbQxGF8j_TV84zQ1wbPIb1djXesfHse0tmPoYjEhRisoihskyZoRVIYoUislOth7Bkt2Q8EuHYa1K4nwZVVC0T77kL52_syl_telrsvWGHb1j_lW3DdjAAjz-kkLoj.aeAVLQ.qpuqGJ1peY8cVd3crHN64s3XtlM