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          <dc:creator>Kieslich, Aaron Markus</dc:creator>
          <dc:creator>Singh, Yerik</dc:creator>
          <dc:creator>Palkowitsch, Martina</dc:creator>
          <dc:creator>Starke, Sebastian</dc:creator>
          <dc:creator>Hennings, Fabian</dc:creator>
          <dc:creator>Troost, Esther Gera Cornelia</dc:creator>
          <dc:creator>Krause, Mechthild</dc:creator>
          <dc:creator>Bensberg, Jona</dc:creator>
          <dc:creator>Lühr, Armin</dc:creator>
          <dc:creator>Heinzelmann, Feline</dc:creator>
          <dc:creator>Bäumer, Christian</dc:creator>
          <dc:creator>Timmermann, Beate</dc:creator>
          <dc:creator>Depauw, Nicolas</dc:creator>
          <dc:creator>Shih, Helen A.</dc:creator>
          <dc:creator>Löck, Steffen</dc:creator>
          <dc:date>2025-12-16</dc:date>
          <dc:description>This repository contains the outputs, model checkpoints and result data of our deep-learning-based experiments for the approximation of Monte-Carlo-simulated linear energy transfer distributions and uncertainty estimation, which build the foundation for the corresponding article.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4185</dc:identifier>
          <dc:identifier>10.14278/rodare.4185</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4185</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42451</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42419</dc:relation>
          <dc:relation>doi:10.14278/rodare.4184</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/health</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/oncoray</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>proton radiotherapy</dc:subject>
          <dc:subject>linear energy transfer</dc:subject>
          <dc:subject>deep learning</dc:subject>
          <dc:subject>pencil beam scanning</dc:subject>
          <dc:subject>double scattering</dc:subject>
          <dc:subject>uncertainty quantification</dc:subject>
          <dc:title>Data publication: Deep learning for dose-averaged linear energy transfer estimation in pencil-beam scanning and double scattering proton plans with uncertainty-aware external validation</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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      <header>
        <identifier>oai:rodare.hzdr.de:4374</identifier>
        <datestamp>2026-01-29T14:59:29Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-energy</setSpec>
        <setSpec>user-fwi</setSpec>
        <setSpec>user-rodare</setSpec>
        <setSpec>user-ibc</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Techert, Gerda</dc:creator>
          <dc:creator>Kretzschmar, Jerome</dc:creator>
          <dc:creator>Worbs, Andreas</dc:creator>
          <dc:creator>Steudtner, Robin</dc:creator>
          <dc:creator>Bloß, Christoph</dc:creator>
          <dc:creator>Boelens, Peter</dc:creator>
          <dc:creator>Drobot, Björn</dc:creator>
          <dc:creator>Hübner, René</dc:creator>
          <dc:creator>Schönberger, Nora</dc:creator>
          <dc:creator>Pollmann, Katrin</dc:creator>
          <dc:creator>Lederer, Franziska</dc:creator>
          <dc:date>2026-01-14</dc:date>
          <dc:description>Electronic waste and wastewater from mining, industry, etc. are valuable secondary sources of strategic high-tech metals like rare earth elements (REEs). Due to low concentrations of REEs, their recovery is challenging. Current separation processes have high energy consumption and use large amounts of toxic or expensive reagents, resulting in contaminated water and its costly reprocessing. Biomolecules, as environmentally friendly alternatives, are able to overcome these economic and ecological issues. Metal-binding peptides are convincing not only because of their high selectivity and stability under various conditions. In case of biobased production, they are also “renewable” resources and are neither toxic nor difficult to degrade at the process end. Here, we successfully utilized phage surface display (PSD) to screen for peptides with high affinity for REEs. The selected peptide GC22 (CEPDLWIDRFWC), identified by PSD in combination with next-generation sequencing, revealed the ability to precipitate lanthanide and yttrium ions from aqueous solutions in large quantities (&gt; 60 %). It largely favors all REE ions over other commonly occurring metal ions in wastewater. The amorphous REE-GC22-precipitate is characterized by curled and spherical structures. Nuclear magnetic resonance spectroscopy revealed that in dimethyl sulfoxide Arg9 and Cys12 are most likely involved in metal binding. Reversibility of binding and thus regeneration of the peptide was demonstrated, enabling its potential use for multiple extraction cycles. GC22 thus offers a sustainable, cost-effective, and environmentally friendly alternative for future REE-recovery from low-REE-concentration wastewaters and e-waste leachates.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4374</dc:identifier>
          <dc:identifier>10.14278/rodare.4374</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4374</dc:identifier>
          <dc:relation>doi:10.17815/jlsrf-3-159</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42690</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42769</dc:relation>
          <dc:relation>doi:10.14278/rodare.4373</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/energy</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/ibc</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>rare earth elements</dc:subject>
          <dc:subject>lanthanide recovery</dc:subject>
          <dc:subject>phage surface display</dc:subject>
          <dc:subject>peptides</dc:subject>
          <dc:subject>precipitation</dc:subject>
          <dc:subject>biomineralization</dc:subject>
          <dc:subject>recycling</dc:subject>
          <dc:title>Research Data: Recovery of rare earth elements by peptide-induced Ln3+ precipitation</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:4444</identifier>
        <datestamp>2026-02-23T08:29:00Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-novo</setSpec>
        <setSpec>user-rodare</setSpec>
        <setSpec>user-health</setSpec>
        <setSpec>user-oncoray</setSpec>
        <setSpec>user-hzdr</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Müller, Sara Tabea</dc:creator>
          <dc:creator>Akgun, Bora</dc:creator>
          <dc:creator>Bekkevoll, Anna</dc:creator>
          <dc:creator>Blorstad Thu, Sander</dc:creator>
          <dc:creator>Engebertsen, Anders</dc:creator>
          <dc:creator>Jagt, Thyrza</dc:creator>
          <dc:creator>Pausch, Guntram</dc:creator>
          <dc:creator>Phan, Than Binh</dc:creator>
          <dc:creator>Ratliff, Hunter</dc:creator>
          <dc:creator>Römer, Katja</dc:creator>
          <dc:creator>Smeland Ytre-Hauge, Kristian</dc:creator>
          <dc:creator>Stokkevag, Camilla</dc:creator>
          <dc:creator>Tarakoglu, Engin</dc:creator>
          <dc:creator>Turko, Joseph</dc:creator>
          <dc:creator>Wolf, Andreas</dc:creator>
          <dc:creator>Yazici, Berkay</dc:creator>
          <dc:creator>Meric, Ilker</dc:creator>
          <dc:creator>Kögler, Toni</dc:creator>
          <dc:date>2026-01-22</dc:date>
          <dc:description>This data set contains the experimental raw data of the NOVO compact detector array (NOVCoDA) from the measurement campaign at OncoRay Dresden, Germany in December 2025. This experiment is the first test of the NOVCoDA prototype at a clinical proton beam. The aim of the measurement campaign was to characterize the response behavior of the scintillators used under high-energy neutron irradiation (especially the pulse-shape discrimination behavior), as well as to test the imaging, range-shift, and rate-processing capabilities of the system.

Setup:

Measurements 01.12.-09.12.:  miniNOVO (version 5): The prototype consists of 12 organic scintillator elements (6 × M600 and 6 × organic glas scintillator) of the dimensions 12×12×140 mm3

Measurements 10.12.-12.12.:  miniNOVO (version 5.1): The prototype consists of 14 organic scintillator elements (7 × M600 and 7 × organic glas scintillator) of the dimensions 12×12×140 mm3

The scintillator bars have dual readout composed of


	2 × Hamamatsu R7378A (1’’) PMTs1,
	4 × Hamamatsu S14161-3050HS-04 SiPM1 + U3012 (+ custom front-end electronics) (only 2 × for miniNOVO version 5) and
	8 × Hamamatsu R2059-01 (2’’) PMTs1.


The data was recorded with 2 CAEN V1730S3 14-bit, 16-channel digitizers (named dta and dtb) with a sampling frequency of 425.216 MS/s.

The detector array was placed at 90° w.r.t. to the fixed-beam research beam line of the Dresden proton therapy facility at OncoRay, Dresden. A cylindrical PMMA (solid/with air gap/with bone insert) was placed centrally in front of the detector head and irradiated with proton energies from 75-225 MeV and varying currents between 10-2000 pA at various positions (± 180 mm w.r.t. central position).

In addition measurements with the online-adaptive RAPTOR phantom in different configurations (air insert/bone insert/swelling/no swelling) were executed.

Data structure:

The directory DOI_calibration contains the position calibration measurements with a Sr-90 source. Energy_calibration holds the energy calibration measurements with a Na-22 and Cs-137 source. In efficiency_measurement the measurements with a Na-22 source at phantom position (with and without PMMA phantom) can be found. PMMA_phantom is dedicated to all the beam measurements with the cylindrical phantom (with and without various inserts) while the directory online_adaptive_phantom provides the same for the measurements with the RAPTOR phantom. All measurements for which waveforms were recorded are stored in waveforms and backend_comparison is comprised of repeat measurements with the cylindrical PMMA phantom where one detector (dtb, ch2 and ch3) was connected to an alternative back-end system for comparison. All other measurements and test runs are in the tests folder.

The PDF-files 2025-12_ NOVO-first-proton-facility-tests-PGTV-Wiki.pdf and 2025-12_ NOVO-first-proton-facility-tests-Week-2-PGTV-Wiki.pdf hold information about the setup of the experiment and and more details about the individual measurements (elog). The file 2025-12_ NOVO-first-proton-facility-tests-Run-List-PGTV-Wiki.pdf contains the run list with all parameters for each measurement.

In 2025-12_OncoRay_HEBC_Monitor_Data.zip csv-files with the beam control meta data can be found (one file for each measurement day).

The main configuration file for the digitizers is called template_main.cfg.

Data Format:

All data is saved in root files which each contain two root trees, one for each digitizer, named “dta” and “dtb”. The trees hold the following information in the form of listmode data for each event: digitizer channel ("channel"), charge integrated over long gate ("Elong"), charge integrated over short gate ("Eshort"), digitizer flags ("flags") and the timestamp (separated in three parts: "timestamp", "timestampExtended", "time"). Additionally, the root files also contain an TArrayD which denotes the start time of the measurement in UNIX time at its first index and the stop time at its second.

There are two configuration files for each data file (named “filename_dtx.config”), one for each digitizer card. These text files contain the information about the digitizer settings for each run.

[1] Hamamatsu Photonics Deutschland GmbH, Arzbergerstr. 10, 82211 Herrsching am Ammersee, Germany.

[2] Target Systemelektronik, Heinz-Fangman-Straße 4, 42287 Wuppertal, Germany. 

[3] CAEN S.p.A., Via Vetraia 11, 55049 Viareggio (LU), Italy.</dc:description>
          <dc:description>The NOVO project has received funding from the European Innovation Council (EIC) under grant agreement No. 101130979. The EIC receives support from the European Union's Horizon Europe research and innovation programme. Partners from The University of Manchester have received funding from UK Research and Innovation under grant agreement No. 10102118</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4444</dc:identifier>
          <dc:identifier>10.14278/rodare.4444</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4444</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-43021</dc:relation>
          <dc:relation>doi:10.14278/rodare.4443</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/health</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/novo</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/oncoray</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/restrictedAccess</dc:rights>
          <dc:subject>NOVO</dc:subject>
          <dc:subject>Neutron imaging</dc:subject>
          <dc:subject>Prompt gamma ray imaging</dc:subject>
          <dc:subject>Dual particle imaging</dc:subject>
          <dc:subject>Range verification in proton therapy</dc:subject>
          <dc:subject>OncoRay</dc:subject>
          <dc:title>First tests of the NOVO Compact Detector Array at a Proton Facility (OncoRay)</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:4596</identifier>
        <datestamp>2026-04-10T10:10:31Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Tahmasbi, Hossein</dc:creator>
          <dc:creator>Knüpfer, Andreas</dc:creator>
          <dc:creator>Kühne, Thomas Dae-Song</dc:creator>
          <dc:creator>Mir Hosseini, Seyed Hossein</dc:creator>
          <dc:date>2026-04-09</dc:date>
          <dc:description>Reference data and scripts generated for the "Benchmarking Universal Machine Learning Interatomic
Potentials on Elemental Systems" manuscript.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4596</dc:identifier>
          <dc:identifier>10.14278/rodare.4596</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4596</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-43234</dc:relation>
          <dc:relation>doi:10.14278/rodare.4595</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:title>Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:4640</identifier>
        <datestamp>2026-05-07T06:34:56Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Wagner, Michael</dc:creator>
          <dc:creator>Reinicke, Sebastian</dc:creator>
          <dc:creator>Eisenhofer, Suzanne Michele</dc:creator>
          <dc:creator>Alt, Sören</dc:creator>
          <dc:creator>Kratzsch, Alexander</dc:creator>
          <dc:creator>Hampel, Uwe</dc:creator>
          <dc:date>2026-05-04</dc:date>
          <dc:description>Messdatenarchiv zum Vorhaben DCS-Monitor II</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4640</dc:identifier>
          <dc:identifier>10.14278/rodare.4640</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4640</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-43338</dc:relation>
          <dc:relation>doi:10.14278/rodare.4639</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:title>Messdatenarchiv zum Vorhaben DCS-Monitor II</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:2025</identifier>
        <datestamp>2025-06-03T14:53:57Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Fridman, Emil</dc:creator>
          <dc:date>2022-12-13</dc:date>
          <dc:description>This data set supplements the neutronics benchmark of the NuScale-like core. The data set includes spreadsheets with material compositions and the reference Serpent Monte Carlo solution</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2025</dc:identifier>
          <dc:identifier>10.14278/rodare.2025</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2025</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-35855</dc:relation>
          <dc:relation>doi:10.14278/rodare.2024</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>NuScale</dc:subject>
          <dc:subject>SMR</dc:subject>
          <dc:subject>benchmark</dc:subject>
          <dc:subject>Serpent</dc:subject>
          <dc:subject>Monte Carlo</dc:subject>
          <dc:title>Dataset for neutronics benchmark of NuScale-like core</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:1967</identifier>
        <datestamp>2024-07-18T06:57:30Z</datestamp>
        <setSpec>user-hzdr</setSpec>
        <setSpec>user-health</setSpec>
        <setSpec>user-fwm</setSpec>
        <setSpec>user-fwc</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Starke, Sebastian</dc:creator>
          <dc:creator>Zwanenburg, Alex</dc:creator>
          <dc:creator>Leger, Karoline</dc:creator>
          <dc:creator>Zöphel, Klaus</dc:creator>
          <dc:creator>Kotzerke, Jörg</dc:creator>
          <dc:creator>Krause, Mechthild</dc:creator>
          <dc:creator>Baumann, Michael</dc:creator>
          <dc:creator>Troost, Esther Gera Cornelia</dc:creator>
          <dc:creator>Löck, Steffen</dc:creator>
          <dc:date>2022-11-24</dc:date>
          <dc:description>We include the input data, analysis scripts, analysis results and scripts to create the visualizations and plots used in the manuscript and supplement to our article "Longitudinal and multimodal radiomics models for head-and-neck cancer outcome prediction".</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/1967</dc:identifier>
          <dc:identifier>10.14278/rodare.1967</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:1967</dc:identifier>
          <dc:relation>doi:10.3390/cancers15030673</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-35309</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-35560</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-35309</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-39339</dc:relation>
          <dc:relation>doi:10.14278/rodare.1966</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwc</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwm</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/health</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/closedAccess</dc:rights>
          <dc:subject>radiomics</dc:subject>
          <dc:subject>head-and-neck cancer</dc:subject>
          <dc:subject>loco-regional control</dc:subject>
          <dc:subject>survival analysis</dc:subject>
          <dc:subject>computed tomography</dc:subject>
          <dc:subject>positron emission tomography</dc:subject>
          <dc:subject>cox proportional hazards</dc:subject>
          <dc:subject>longitudinal imaging</dc:subject>
          <dc:title>Data publication: Longitudinal and multimodal radiomics models for head-and-neck cancer outcome prediction</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>other</dc:type>
        </oai_dc:dc>
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        <datestamp>2024-09-12T11:38:18Z</datestamp>
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          <dc:creator>Kumar, Vivaswat</dc:creator>
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          <dc:creator>Stefani, Frank</dc:creator>
          <dc:date>2022-12-02</dc:date>
          <dc:description>This dataset is the base of the publication. It has been computed through a fully nonlinear DNS code (SEMTEX) and a code for the computation of magnetic field written by Dr. Andre' Giesecke.</dc:description>
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          <dc:identifier>oai:rodare.hzdr.de:1989</dc:identifier>
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          <dc:subject>Direct Numerical Simulations (DNS)</dc:subject>
          <dc:subject>Dynamo</dc:subject>
          <dc:subject>MHD</dc:subject>
          <dc:title>Data publication: Numerical and theoretical framework for the DRESDYN precession dynamo experiment</dc:title>
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          <dc:date>2018-09-05</dc:date>
          <dc:description>The shibboleth-authenticator module for Invenio provides web browser single sign-on via the SAML protocol. It is based on the python3-saml module and supports the usage of multiple identity providers at the same time.</dc:description>
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        <datestamp>2018-11-19T14:13:31Z</datestamp>
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          <dc:description>Das BMBF Verbundprojekt RDMatDB wird im Rahmen der Förderrichtlinie "Erforschung des Managements von Forschungsdaten in ihrem Lebenszyklus“ realisiert. Ziel des Projektes ist es, Forschungsdaten-Management-Lösungen zu entwickeln, die das HZDR und HZB als Betreiber von Infrastrukturen in die Lage versetzen, die sich aus den FAIR-Prinzipien des Datenmanagements ergebenden Anforderungen zu erfüllen. Im dem Vortrag auf der BMBF-Veranstaltung "Forschungsdatenmanagement - künftige Entwicklungen und aktuelle Fragen der Wissenschaft" wird das Projekt und die Perspektiven vorgestellt.

The BMBF joint project RDMatDB of the HZDR and HZB is implemented within the scope of the funding program "Research on the management of research data in its life cycle ". The goal of the project is to develop research data management solutions which the HZDR and HZB consider to meet the requirements of the FAIR data management principles. The project and perspectives are presented at the BMBF event "Research Data Management - Future Developments and Current Issues of Science".</dc:description>
          <dc:description>none.</dc:description>
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          <dc:subject>Research Data Management, Data Repository, FAIR Data Management, Data Lifecycle</dc:subject>
          <dc:title>Forschungsdatenmanagement am Helmholtz-Zentrum Dresden-Rossendorf und am Helmholtz-Zentrum Berlin (RDM@DB)</dc:title>
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        <identifier>oai:rodare.hzdr.de:66</identifier>
        <datestamp>2018-10-30T12:42:21Z</datestamp>
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          <dc:creator>Branco, João</dc:creator>
          <dc:creator>Bussmann, Michael</dc:creator>
          <dc:creator>Cowan, Thomas E.</dc:creator>
          <dc:creator>Curry, Chandra B.</dc:creator>
          <dc:creator>Fiuza, Frederico</dc:creator>
          <dc:creator>Garten, Marco</dc:creator>
          <dc:creator>Gauthier, Maxence</dc:creator>
          <dc:creator>Göde, Sebastian</dc:creator>
          <dc:creator>Glenzer, Siegfried H.</dc:creator>
          <dc:creator>Huebl, Axel</dc:creator>
          <dc:creator>Irman, Arie</dc:creator>
          <dc:creator>Kim, Jongjin B.</dc:creator>
          <dc:creator>Kluge, Thomas</dc:creator>
          <dc:creator>Kraft, Stephan</dc:creator>
          <dc:creator>Kroll, Florian</dc:creator>
          <dc:creator>Metzkes-Ng, Josefine</dc:creator>
          <dc:creator>Pausch, Richard</dc:creator>
          <dc:creator>Prencipe, Irene</dc:creator>
          <dc:creator>Rehwald, Martin</dc:creator>
          <dc:creator>Rödel, Christian</dc:creator>
          <dc:creator>Schlenvoigt, Hans-Peter</dc:creator>
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          <dc:creator>Zeil, Karl</dc:creator>
          <dc:date>2018-10-30</dc:date>
          <dc:description>This data repository contains analyzed data files of the shown figures and simulation input files.

Please see the according README.txt files in the individual directories and the original manuscript for guidance.

Manuscript title:
  All-optical structuring of laser-driven proton beam profiles

Authors:
  Lieselotte Obst, Tim Ziegler, Florian-Emanuel Brack, Joao Branco, Michael Bussmann, Thomas E. Cowan, Chandra B. Curry, Frederico Fiuza, Marco Garten, Maxence Gauthier, Sebastian Göde, Siegfried H. Glenzer, Axel Huebl, Arie Irman, Siegfried H. Glenzer, Axel Huebl, Arie Irman, Jongjin B. Kim, Thomas Kluge, Stephan Kraft, Florian Kroll, Josefine Metzkes-Ng, Richard Pausch, Irene Prencipe, Martin Rehwald, Christian Rödel, Hans-Peter Schlenvoigt, Ulrich Schramm, Karl Zeil

Submitted to:
  Nature Communications (2018)


Responsible for the data repository:
  Lieselotte Obst-Huebl, TU Dresden and HZDR
  Axel Huebl, TU Dresden and HZDR
  Tim Ziegler, TU Dresden and HZDR
  Thomas Kluge, HZDR

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          <dc:title>All-optical structuring of laser-driven proton beam profiles data sets</dc:title>
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          <dc:creator>Frust, Tobias</dc:creator>
          <dc:date>2019-02-22</dc:date>
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          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
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          <dc:rights>https://opensource.org/licenses/GPL-3.0</dc:rights>
          <dc:title>Shibboleth-Authenticator for Invenio</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>software</dc:type>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:131</identifier>
        <datestamp>2019-07-03T13:43:05Z</datestamp>
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        <setSpec>user-matter</setSpec>
        <setSpec>user-hzdr</setSpec>
      </header>
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          <dc:creator>Huebl, Axel</dc:creator>
          <dc:creator>Widera, René</dc:creator>
          <dc:creator>Garten, Marco</dc:creator>
          <dc:creator>Pausch, Richard</dc:creator>
          <dc:creator>Steiniger, Klaus</dc:creator>
          <dc:creator>Bastrakov, Sergei</dc:creator>
          <dc:creator>Meyer, Felix</dc:creator>
          <dc:creator>Bastrakova, Ksenia</dc:creator>
          <dc:creator>Debus, Alexander</dc:creator>
          <dc:creator>Kluge, Thomas</dc:creator>
          <dc:creator>Ehrig, Simeon</dc:creator>
          <dc:creator>Werner, Matthias</dc:creator>
          <dc:creator>Worpitz, Benjamin</dc:creator>
          <dc:creator>Matthes, Alexander</dc:creator>
          <dc:creator>Rudat, Sophie</dc:creator>
          <dc:creator>Starke, Sebastian</dc:creator>
          <dc:creator>Bussmann, Michael</dc:creator>
          <dc:date>2019-06-13</dc:date>
          <dc:description>PIConGPU is an open source, multi-platform particle-in-cell code scaling to the fastest supercomputers in the TOP500 list. We present the architecture, novel developments, and workflows that enable high-precision, fast turn-around computations on Exascale-machines. Furthermore, we present our strategies to handle extreme data flows from thousands of GPUs for analysis with in situ processing and open data formats (openPMD). PIConGPU is since recently furthermore natively controlled by a Python Jupyter interface and we research just-in-time kernel generation for C++ with our Cling-CUDA extensions.</dc:description>
          <dc:description>Invited minisymposium talk at the Platform for Advanced Scientific Computing (PASC) Conference (PASC19) at ETH Zurich (Zurich, Switzerland).</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/131</dc:identifier>
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          <dc:identifier>oai:rodare.hzdr.de:131</dc:identifier>
          <dc:language>eng</dc:language>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>LPA</dc:subject>
          <dc:subject>laser-plasma</dc:subject>
          <dc:subject>particle-in-cell</dc:subject>
          <dc:subject>HPC</dc:subject>
          <dc:subject>manycore</dc:subject>
          <dc:subject>GPU</dc:subject>
          <dc:subject>simulation</dc:subject>
          <dc:subject>interactive</dc:subject>
          <dc:subject>big data</dc:subject>
          <dc:title>Scalable, Data Driven Plasma Simulations with PIConGPU</dc:title>
          <dc:type>info:eu-repo/semantics/lecture</dc:type>
          <dc:type>presentation</dc:type>
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      <header>
        <identifier>oai:rodare.hzdr.de:125</identifier>
        <datestamp>2024-08-14T11:28:26Z</datestamp>
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        <setSpec>user-fwd</setSpec>
        <setSpec>user-rodare</setSpec>
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      </header>
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          <dc:contributor>Neumann-Kipping, Martin</dc:contributor>
          <dc:contributor>Hampel, Uwe</dc:contributor>
          <dc:contributor>Bieberle, André</dc:contributor>
          <dc:contributor>Beyer, Matthias</dc:contributor>
          <dc:contributor>Sprewitz, Uwe</dc:contributor>
          <dc:contributor>Szalinski, Lutz</dc:contributor>
          <dc:creator>Neumann-Kipping, Martin</dc:creator>
          <dc:creator>Hampel, Uwe</dc:creator>
          <dc:date>2019-06-18</dc:date>
          <dc:description>For the investigation of bubbly two-phase flow, which should serve as a future benchmark experiment for CFD code validation, an experimental study has been conducted at the Transient Two-Phase Flow (TOPFLOW) facility at Helmholtz-Zentrum Dresden – Rossendorf (HZDR) using ultrafast electron beam X-ray tomography (UFXRAY). In this study, flow constrictions were installed into a pipe to create a generic three-dimensional flow field as an advanced test case for CFD codes. UFXRAY provide valueable data of the gas phase dynamics with high temporal and spatial resolution.

The provided data set contains tomography raw-data for the experimental series L30 that uses a ring shaped flow constriction with a blockage ratio of 0.5. 

For visualization, the data might be opend with Fiji. Therefore choose Import-&gt;Raw... In the following window specify "Image type" as 16-bit Unsigned, "Width" as 288 pixels and "Height" as 500 pixels for 2x1000Hz measurement or 200 pixels for 2x2500Hz measurement. Make sure that "Little-endian byte order" is checked. A data set contains image frames of both scanning planes in alternating order. Therefore, if only a single scanning plane is required, the offset and gap parameters need to be set to 288000 bytes for 2x1000Hz measurement or 115200 bytes for 2x2500Hz measurement.</dc:description>
          <dc:description>This work is funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) with the grant number 1501481 on the basis of a decision by the German Bundestag.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/125</dc:identifier>
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          <dc:language>eng</dc:language>
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          <dc:rights>info:eu-repo/semantics/restrictedAccess</dc:rights>
          <dc:subject>ultrafast X-ray computed tomography</dc:subject>
          <dc:subject>bubbly two-phase flow</dc:subject>
          <dc:subject>three-dimensional flow field</dc:subject>
          <dc:subject>two-phase pipe flow</dc:subject>
          <dc:title>Ultrafast X-ray tomography raw-data of bubbly two-phase pipe flow around a ring-shaped constriction</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:151</identifier>
        <datestamp>2019-09-05T11:43:19Z</datestamp>
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        <setSpec>user-rodare</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-hzdr</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Debus, Alexander</dc:creator>
          <dc:creator>Steiniger, Klaus</dc:creator>
          <dc:creator>Pausch, Richard</dc:creator>
          <dc:creator>Huebl, Axel</dc:creator>
          <dc:creator>Widera, Rene</dc:creator>
          <dc:date>2019-09-04</dc:date>
          <dc:description>The input sets of the simulations as used in the publication "Circumventing the Dephasing and Depletion Limits of Laser-Wakefield Acceleration" by A. Debus et al. .

The input sets include TWEAC scenarios, the LWFA scenario and the laser-propagation scenario of Appendix D. The src-directories include custom additions to the PIConGPU source code.

The simulations were run using the beta-rc6, 0.3.1, and 0.4.0 releases of PIConGPU (see DOI: 10.5281/zenodo.591746). The input sets are shown according to the respective PIConGPU version used in the original simulation. However, for running the simulations we recommend adapting the input sets to the 0.4.0 release.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/151</dc:identifier>
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          <dc:subject>Optics</dc:subject>
          <dc:subject>Photonics</dc:subject>
          <dc:subject>Plasma Physics</dc:subject>
          <dc:title>PIConGPU simulation settings for TWEAC</dc:title>
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        <datestamp>2024-08-14T11:26:45Z</datestamp>
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          <dc:contributor>Bieberle, André</dc:contributor>
          <dc:creator>Neumann-Kipping, Martin</dc:creator>
          <dc:creator>Hampel, Uwe</dc:creator>
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          <dc:description>For the investigation of bubbly two-phase flow, which should serve as a future benchmark experiment for CFD code validation, an experimental study has been conducted at the Transient Two-Phase Flow (TOPFLOW) facility at Helmholtz-Zentrum Dresden – Rossendorf (HZDR) using ultrafast electron beam X-ray tomography (UFXRAY). In this study, flow constrictions were installed into a DN50 pipe to create a generic three-dimensional flow field as an advanced test case for CFD codes. UFXRAY CT scans were performed in dual-imaging mode and 9 imaging planes for 15 s with a temporal resolution of 1.0 kHz and 2.5 kHz to provide valuable data of the gas phase dynamics.

The provided data set contains tomographic image data for the experimental series L30 that uses a semi-circular flow constriction with a blockage ratio of 0.5. Here, all image stacks for a given operating point are stored in a single HDF5 file with a spatial resolution of 0.5 mm/pixel (Images are stacked as time series). Further attributes (e.g. reconstruction parameters) are available for each image stack and are accessible e.g. using Matlab or Octave. The relative distance of the each respective scanning position is defined in an additional info.txt. </dc:description>
          <dc:description>This work is funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) with the grant number 1501481 on the basis of a decision by the German Bundestag.</dc:description>
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          <dc:subject>ultrafast X-ray computed tomography</dc:subject>
          <dc:subject>bubbly two-phase flow</dc:subject>
          <dc:subject>three-dimensional flow field</dc:subject>
          <dc:subject>two-phase pipe flow</dc:subject>
          <dc:subject>tomographic image data</dc:subject>
          <dc:title>Ultrafast X-ray tomography image data of bubbly two-phase pipe flow around a semi-circular constriction</dc:title>
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          <dc:creator>Belka, Claus</dc:creator>
          <dc:creator>Peeken, Jan C.</dc:creator>
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          <dc:creator>Baumann, Michael</dc:creator>
          <dc:creator>Löck, Steffen</dc:creator>
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          <dc:description>These are the results from the analyses presented in a paper submitted to Scientific Reports.

The zip file contains the trained model files and the plots that were used in the manuscript.

Code for reproduction of our analyses can be obtained from https://github.com/oncoray/cnn-hnscc. There, you also find instructions on how to load our models.</dc:description>
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          <dc:subject>convolutional neural networks</dc:subject>
          <dc:subject>Keras</dc:subject>
          <dc:subject>Deep learning</dc:subject>
          <dc:subject>head and neck cancer</dc:subject>
          <dc:subject>loco-regional-recurrence</dc:subject>
          <dc:subject>Cox proportional hazards</dc:subject>
          <dc:title>2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma</dc:title>
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        <identifier>oai:rodare.hzdr.de:336</identifier>
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          <dc:creator>Pereira, Lucas</dc:creator>
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          <dc:creator>Khodadadzadeh, Mahdi</dc:creator>
          <dc:creator>Tolosana Delgado, Raimon</dc:creator>
          <dc:creator>Gutzmer, Jens</dc:creator>
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          <dc:description>This file contains a train and a test datasets that can be used to construct fictional mineral processing studies, on a particle level, using known equations for different separation techniques. This data was collected with a mineral liberation analyzer at the Helmholtz Institute Freiberg for Resource Technology. The probabilities, and classes present together with the data are part of a publication in the journal of cleaner production. These could be simply removed in order to construct new cases.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/336</dc:identifier>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>particle-tracking</dc:subject>
          <dc:subject>geometallurgy</dc:subject>
          <dc:subject>mineral processing modelling</dc:subject>
          <dc:subject>flotation</dc:subject>
          <dc:subject>automated mineralogy</dc:subject>
          <dc:subject>resource efficiency</dc:subject>
          <dc:title>Particle dataset for constructing mineral processing case studies</dc:title>
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        <identifier>oai:rodare.hzdr.de:522</identifier>
        <datestamp>2021-11-02T19:11:14Z</datestamp>
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          <dc:creator>Göthel, Ilja</dc:creator>
          <dc:date>2020-09-22</dc:date>
          <dc:description>Simulations made with PIConGPU in 2d geometry with a longitudinally modified gaussian laser on a foil.
The laser has been modified to reproduce the main features of the pulse shape seen in the experiments as a result of modifying TOD and GVD.
The three main features, which were enabled with varying strength in the simulations:
 - an exponential ramp on the timescale of 300fs before the gaussian main pulse
 - a postpulse with around 100fs delay and around 0.2 of the total pulse energy
 - a skewness of the gaussian - modelled by two gaussian halves for the rising and falling part

From the spectra of the accelerated protons the cutoff energy is measured. The main result is, that the variations of the spectra are much smaller than those observed in the experiments, suggesting more complex mechanisms than those modelled here.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/522</dc:identifier>
          <dc:identifier>10.14278/rodare.522</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:522</dc:identifier>
          <dc:language>eng</dc:language>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>laser particle acceleration</dc:subject>
          <dc:title>Supplementary simulations for laser foil experiments on TOD variation</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>software</dc:type>
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        <identifier>oai:rodare.hzdr.de:663</identifier>
        <datestamp>2021-12-17T08:42:38Z</datestamp>
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          <dc:creator>Dornheim, Tobias</dc:creator>
          <dc:creator>Vorberger, Jan</dc:creator>
          <dc:creator>Baczewski, Andrew</dc:creator>
          <dc:date>2021-03-08</dc:date>
          <dc:description>The theoretical understanding of plasmon behavior is crucial for an accurate interpretation of inelastic
scattering diagnostics in many experiments. We highlight the utility of linear-response time-dependent density
functional theory (LR-TDDFT) as a first-principles framework for consistently modeling plasmon properties.
We provide a comprehensive analysis of plasmons in aluminum from ambient to warm dense matter conditions
and assess typical properties such as the dynamical structure factor, the plasmon dispersion, and the plasmon
lifetime. We compare our results with scattering measurements and with other TDDFT results as well as models
such as the random phase approximation, the Mermin approach, and the dielectric function obtained using static
local field corrections of the uniform electron gas parametrized from path-integral Monte Carlo simulations. We
conclude that results for the plasmon dispersion and lifetime are inconsistent between experiment and theories
and that the common practice of extracting and studying plasmon dispersion relations is an insufficient procedure
to capture the complicated physics contained in the dynamic structure factor in its full breadth.
 </dc:description>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Warm dense matter</dc:subject>
          <dc:subject>TDDFT</dc:subject>
          <dc:title>Data for: "First-principles modeling of plasmons in aluminum under ambient and extreme conditions"</dc:title>
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          <dc:type>dataset</dc:type>
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        <identifier>oai:rodare.hzdr.de:3233</identifier>
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          <dc:creator>Brevis, Felipe</dc:creator>
          <dc:creator>Landeros, Pedro</dc:creator>
          <dc:creator>Lindner, Jürgen</dc:creator>
          <dc:creator>Kakay, Attila</dc:creator>
          <dc:creator>Körber, Lukas</dc:creator>
          <dc:date>2024-10-17</dc:date>
          <dc:description>This archive contains the raw data as well as the Tetrax (www.tetrax.software) Jupyter notebooks to produce the data that has been analyzed and used for the manuscript: Curvature-induced parity loss and hybridization of magnons: Exploring the connection of flat and tubular magnetic shells, Physical Review B 110, 134428 (2024), published on 17 October, 2024.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/3233</dc:identifier>
          <dc:identifier>10.14278/rodare.3233</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:3233</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-39826</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-39818</dc:relation>
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          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>curvature-induced</dc:subject>
          <dc:subject>spin waves</dc:subject>
          <dc:subject>mignons</dc:subject>
          <dc:subject>hybridization</dc:subject>
          <dc:subject>parity</dc:subject>
          <dc:title>Data publication: Curvature-induced parity loss and hybridization of magnons: Exploring the connection of flat and tubular magnetic shells</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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        <identifier>oai:rodare.hzdr.de:2520</identifier>
        <datestamp>2024-08-13T13:40:22Z</datestamp>
        <setSpec>openaire_data</setSpec>
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        <setSpec>user-pet-center</setSpec>
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          <dc:creator>Krutzek, Fabian</dc:creator>
          <dc:creator>Donat, Cornelius</dc:creator>
          <dc:creator>Stadlbauer, Sven</dc:creator>
          <dc:date>2023-10-22</dc:date>
          <dc:description>Bei diesem Datensatz handelt es sich um die chemische Charakterisierung der Verbindungen, die in-vitro- und in-vivo-Daten.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2520</dc:identifier>
          <dc:identifier>10.14278/rodare.2520</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2520</dc:identifier>
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          <dc:title>Evolution of point defects in pulsed-laser-melted Ge1-xSnx probed by positron annihilation lifetime spectroscopy</dc:title>
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They can be used to:

(1) Numerically calculate the electric field of laser pulses in time-space domain which are defined in frequency-space domain,

(2) Analytically calculate the properties and dispersion parameters of Gaussian laser pulses in time-space domain in the course of propagation through their focus,

(3) Compute the values of laser dispersion parameters in the focus of an off-axis parabolic mirror from the dispersion parameters before focusing at the mirror.</dc:description>
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          <dc:rights>https://www.gnu.org/licenses/autoconf-exception-3.0.html</dc:rights>
          <dc:subject>laser pulse propagation</dc:subject>
          <dc:subject>pulse-front tilt</dc:subject>
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          <dc:subject>high-power laser</dc:subject>
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          <dc:title>Jupyter notebooks to calculate the electric field and properties of focusing (Gaussian) laser pulses</dc:title>
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          <dc:date>2024-09-18</dc:date>
          <dc:description>What is already known • Increased expression of the CB2R in the brain is linked to certain neuropathological diseases. • First clinical trials for CB2R-directed therapies are conducted. What this study adds • [18F]JHU94620-d8 provides the potential to quantify the CB2R receptor density in the brain by positron-emission-tomography. Clinical significance • Stratification of patients for CB2R-directed therapies and follow up of the treatment response is needed.</dc:description>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:title>Data publication: Development and Evaluation of Deuterated [18F]JHU94620 Isotopologues for the Non-invasive Assessment of the Cannabinoid type 2 Receptor in Brain</dc:title>
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          <dc:creator>Weiss, Martin</dc:creator>
          <dc:creator>Walther, Clemens</dc:creator>
          <dc:date>2024-01-05</dc:date>
          <dc:description>Archiv of research data for the manuscript</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2634</dc:identifier>
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          <dc:identifier>oai:rodare.hzdr.de:2634</dc:identifier>
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          <dc:relation>url:https://www.hzdr.de/publications/Publ-35129</dc:relation>
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          <dc:subject>Rare earth elements</dc:subject>
          <dc:subject>plant uptake</dc:subject>
          <dc:subject>species analysis</dc:subject>
          <dc:subject>europium</dc:subject>
          <dc:subject>imaging</dc:subject>
          <dc:title>The Chemical Journey of Europium(III) through Winter Rye (Secale cereale L.) – Understanding through Mass Spectrometry and Chemical Microscopy</dc:title>
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          <dc:contributor>Barthel, Frank</dc:contributor>
          <dc:contributor>Sohr, Johanna</dc:contributor>
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          <dc:creator>Schubert, Markus</dc:creator>
          <dc:date>2024-11-12</dc:date>
          <dc:description>This repository contains sequences of CT images of the two-phase flow in sandwich packings that are alternately arranged in a packing stack using B1-250 (specific geometric surface area is 250 m² /m³) for de-entrainment layer and B1-1000 (specific geometric surface area is 1000 m² /m³) for holdup layer. As measurement system the ultrafast electron beam X-ray computed tomography scanner was applied in dual plane scanning mode with a dual-imaging frequency of 1000 Hz. Operating parameters, the scanning plane as well as the tags "AB" for de-entrainment layer, "AN" for hold-up layer and "DRIVE" for an axial scan are encoded in the name of the data files.</dc:description>
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          <dc:subject>sandwich packing</dc:subject>
          <dc:subject>two-phase flow</dc:subject>
          <dc:subject>ultrafast electron beam X-ray computed tomography</dc:subject>
          <dc:title>CT image sequences of sandwich packings: B1-250 plus B1-1000 at constant liquid rate of 10 m³/(m²h) and various gas rates</dc:title>
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        <datestamp>2025-06-06T11:15:25Z</datestamp>
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          <dc:creator>Korten, Till</dc:creator>
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          <dc:description>This repository contains data for the NeurIPS conference paper titled "Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power".&#13;
&#13;
Raw data is provided in the following files:&#13;
&#13;
&#13;
 PBD2_VRFD_pbd2_stream_6_run52040_file114_20240227T153103.hdf5&#13;
 PBD2_VRFD_pbd2_stream_6_run52040_file115_20240227T153214.hdf5&#13;
 PBD2_VRFD_pbd2_stream_6_run52040_file116_20240227T153325.hdf5&#13;
 PBD2_VRFD_pbd2_stream_6_run52040_file117_20240227T153436.hdf5&#13;
&#13;
&#13;
The raw data contains 23 machine parameters as well as the longitudinal phase space images of 2826 shots in the lasing-off regime of the FLASH2 beamline at DESY Hamburg.&#13;
&#13;
Training data for the MLP model is contained in "electron_power_data_files_114_115_116_117.hdf5"&#13;
&#13;
The training data contains 23 machine parameters as well as the temporal power profiles of 2826 electron bunches.</dc:description>
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          <dc:relation>doi:10.48550/arXiv.2411.09468</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>machine learning</dc:subject>
          <dc:subject>free electron laser</dc:subject>
          <dc:subject>linear accelerator</dc:subject>
          <dc:title>Training data for "Harnessing Machine Learning for Single-Shot Measurement of Free Electron Laser Pulse Power"</dc:title>
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          <dc:date>2024-01-17</dc:date>
          <dc:description>All input files and scripts to setup calculations in abinit. Also all output files that were used to generate the figures and tables.</dc:description>
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          <dc:subject>laser matter interaction</dc:subject>
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          <dc:subject>energy transfer</dc:subject>
          <dc:subject>Eliashberg</dc:subject>
          <dc:subject>linear response</dc:subject>
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	Jana2006 refinement files
	Figure data sets
	FPLO files for the Wannier projections
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          <dc:title>(Data set) Tunable Dirac nodal line in orthorhombic RuO2</dc:title>
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        <datestamp>2025-04-07T11:22:04Z</datestamp>
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          <dc:creator>Tonner-Zech, Ralf</dc:creator>
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          <dc:subject>adsorption</dc:subject>
          <dc:subject>dihydrogen isotopologue</dc:subject>
          <dc:subject>anharmonicity</dc:subject>
          <dc:subject>selectivity</dc:subject>
          <dc:subject>Python</dc:subject>
          <dc:title>Direct evidence for ligand-enhanced activity of Cu(I) sites</dc:title>
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          <dc:description>Code for reproducing results of the paper "Role of assortativity in predicting burst synchronization using echo state network"</dc:description>
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          <dc:description>This publication contains all datasets of the anthropomorphic head phantom and corresponding treatment plans that are needed to conduct the presented benchmark experiments (related publication) with proton range verification systems. For comparison, the repository also contains the evaluated results of the prompt-gamma-spectroscopy (PGS) and prompt-gamma-imaging (PGI) systems.</dc:description>
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          <dc:subject>prompt gamma-ray</dc:subject>
          <dc:subject>range verification</dc:subject>
          <dc:subject>treatment verification</dc:subject>
          <dc:title>Data publication: Inter-center comparison of proton range verification prototypes with an anthropomorphic head phantom</dc:title>
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          <dc:subject>julia</dc:subject>
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          <dc:subject>optimization</dc:subject>
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          <dc:subject>HPC</dc:subject>
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        <datestamp>2026-02-23T16:34:16Z</datestamp>
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          <dc:creator>Gawne, Thomas Daniel</dc:creator>
          <dc:creator>Kononov, Alina</dc:creator>
          <dc:creator>Baczewski, Andrew D.</dc:creator>
          <dc:creator>Bellenbaum, Hannah</dc:creator>
          <dc:creator>Böhme, Maximilian P.</dc:creator>
          <dc:creator>Moldabekov, Zhandos</dc:creator>
          <dc:creator>Preston, Thomas R.</dc:creator>
          <dc:creator>Schwalbe, Sebastian</dc:creator>
          <dc:creator>Vorberger, Jan</dc:creator>
          <dc:creator>Dornheim, Tobias</dc:creator>
          <dc:date>2025-10-30</dc:date>
          <dc:description>Generated data and run scripts used to generate data. Includes a notebook used to produce the plots.</dc:description>
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          <dc:title>Data publication: Spectral Deconvolution without the Deconvolution: Extracting Temperature from X-ray Thomson Scattering Spectra without the Source-and-Instrument Function</dc:title>
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        <datestamp>2025-12-02T08:59:11Z</datestamp>
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          <dc:contributor>Middleton, Maarit</dc:contributor>
          <dc:creator>Pospiech, Solveig</dc:creator>
          <dc:date>2025-11-02</dc:date>
          <dc:description>Format: HTML document (bookdown format)
Purpose: This file provides a detailed description of the quality assurance and quality control (QA/QC) procedures applied to the plant concentration data collected during the study. It includes statistical analysis of reference materials, drift correction, uncertainty modeling, and evaluation of laboratory and field precision.

Description of the File Content

This file is part of a larger data publication and serves as a supplementary document to the main dataset. It outlines the QA/QC procedures used to ensure the accuracy, precision, and reliability of the plant element concentration data. The file includes:


	
	Reference Material (RM) Analysis:

	
		Statistical summaries of standard reference materials (SRMs) such as UPDEEP_SPRU_BARK_DRY, UPDEEP_SPRU_TWIG_DRY, and UPDEEP_SPRU_NEED_DRY.
		Comparison of pre-analyzed SRM values with actual measurements.
		X-charts showing the performance of SRMs over time and across different batches.
	
	
	
	Drift and Offset Correction:

	
		Visualizations of raw and corrected data for routine samples, laboratory, and field replicates.
		Analysis of data trends and correction of analytical drift and offsets.
	
	
	
	Uncertainty Modeling:

	
		Calculation of relative standard deviation (RSD) from laboratory replicates.
		Identification of elements with high uncertainty (RSD &gt; 10%) that may be excluded from further analysis.
		Tables and visualizations showing the distribution of uncertainties across different plant tissues.
	
	
	
	Field Precision Assessment:

	
		Evaluation of field replicate data to assess variability in field sampling.
		Identification of elements with poor field precision (RSD &gt; 20%).
	
	
	
	Data Preparation and Processing:

	
		R code for data loading, cleaning, and transformation.
		Use of packages such as data.table, ggplot2, dplyr, and kableExtra for data manipulation and visualization.
	
	


Summary of Key Findings and Data Included


	Reference Materials: The file provides statistical summaries (mean, median, SD, RMAD) of SRMs used to monitor analytical performance. These are compared with actual measurements to assess accuracy and precision.
	Drift Correction: The data shows the effect of drift correction on plant concentration measurements, improving the consistency of results across different batches.
	Uncertainty Analysis: The RSD of laboratory replicates is calculated, and elements with high variability are flagged for exclusion.
	Field Precision: Field replicates are used to assess the variability of sampling and analysis in the field, with some elements showing poor precision.
	Visualizations: The file includes numerous plots (e.g., X-charts, scatter plots) to illustrate data trends, comparisons, and uncertainty levels.
</dc:description>
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          <dc:language>eng</dc:language>
          <dc:relation>doi:10.3030/776804</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-41483</dc:relation>
          <dc:relation>doi:10.14278/rodare.3811</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/1.0/legalcode</dc:rights>
          <dc:subject>QAQC</dc:subject>
          <dc:subject>supplementary material</dc:subject>
          <dc:subject>plant data</dc:subject>
          <dc:subject>NEXT EU project</dc:subject>
          <dc:title>NEXT Plant data: Results of Quality Assurance and Quality Control - Supplementary material for publications based on this data set</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>other</dc:type>
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        <identifier>oai:rodare.hzdr.de:3810</identifier>
        <datestamp>2025-06-27T09:18:30Z</datestamp>
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          <dc:creator>Guo, Huixin</dc:creator>
          <dc:creator>Lenz, Kilian</dc:creator>
          <dc:creator>Gołębiewski, Mateusz</dc:creator>
          <dc:creator>Narkovic, Rysard</dc:creator>
          <dc:creator>Lindner, Jürgen</dc:creator>
          <dc:creator>Krawczyk, Maciej</dc:creator>
          <dc:creator>Grundler, Dirk</dc:creator>
          <dc:date>2025-06-17</dc:date>
          <dc:description>Raw Data, Data analysis, Figures for Publication</dc:description>
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          <dc:title>Data publication: Coherent Spin Waves in Curved Ferromagnetic Nanocaps of a 3D-printed Magnonic Crystal</dc:title>
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        <datestamp>2025-12-02T08:59:11Z</datestamp>
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          <dc:date>2025-06-17</dc:date>
          <dc:description>Format: HTML document (bookdown format)
Purpose: This file provides a detailed description of the quality assurance and quality control (QA/QC) procedures applied to the plant concentration data collected during the study. It includes statistical analysis of reference materials, drift correction, uncertainty modeling, and evaluation of laboratory and field precision.

Description of the File Content

This file is part of a larger data publication and serves as a supplementary document to the main dataset. It outlines the QA/QC procedures used to ensure the accuracy, precision, and reliability of the plant element concentration data. The file includes:


	
	Reference Material (RM) Analysis:

	
		Statistical summaries of standard reference materials (SRMs) such as UPDEEP_SPRU_BARK_DRY, UPDEEP_SPRU_TWIG_DRY, and UPDEEP_SPRU_NEED_DRY.
		Comparison of pre-analyzed SRM values with actual measurements.
		X-charts showing the performance of SRMs over time and across different batches.
	
	
	
	Drift and Offset Correction:

	
		Visualizations of raw and corrected data for routine samples, laboratory, and field replicates.
		Analysis of data trends and correction of analytical drift and offsets.
	
	
	
	Uncertainty Modeling:

	
		Calculation of relative standard deviation (RSD) from laboratory replicates.
		Identification of elements with high uncertainty (RSD &gt; 10%) that may be excluded from further analysis.
		Tables and visualizations showing the distribution of uncertainties across different plant tissues.
	
	
	
	Field Precision Assessment:

	
		Evaluation of field replicate data to assess variability in field sampling.
		Identification of elements with poor field precision (RSD &gt; 20%).
	
	
	
	Data Preparation and Processing:

	
		R code for data loading, cleaning, and transformation.
		Use of packages such as data.table, ggplot2, dplyr, and kableExtra for data manipulation and visualization.
	
	


Summary of Key Findings and Data Included


	Reference Materials: The file provides statistical summaries (mean, median, SD, RMAD) of SRMs used to monitor analytical performance. These are compared with actual measurements to assess accuracy and precision.
	Drift Correction: The data shows the effect of drift correction on plant concentration measurements, improving the consistency of results across different batches.
	Uncertainty Analysis: The RSD of laboratory replicates is calculated, and elements with high variability are flagged for exclusion.
	Field Precision: Field replicates are used to assess the variability of sampling and analysis in the field, with some elements showing poor precision.
	Visualizations: The file includes numerous plots (e.g., X-charts, scatter plots) to illustrate data trends, comparisons, and uncertainty levels.
</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/3812</dc:identifier>
          <dc:identifier>10.14278/rodare.3812</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:3812</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.3030/776804</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-41483</dc:relation>
          <dc:relation>doi:10.14278/rodare.3811</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/1.0/legalcode</dc:rights>
          <dc:subject>QAQC</dc:subject>
          <dc:subject>supplementary material</dc:subject>
          <dc:subject>plant data</dc:subject>
          <dc:subject>NEXT EU project</dc:subject>
          <dc:title>NEXT Plant data: Results of Quality Assurance and Quality Control - Supplementary material for publications based on this data set</dc:title>
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This repository is also in https://github.com/m-sequeira/PINN-ShiftNet

├─ PINN_ShiftNet/  
│  └─ (code files)  
├─ data/  
│  └─ (raw and png experimental AFM data)  
├─ README.md  </dc:description>
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        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Kogler, Jürgen</dc:creator>
          <dc:creator>Donat, Cornelius</dc:creator>
          <dc:creator>Trommer, Johanna</dc:creator>
          <dc:creator>Kopka, Klaus</dc:creator>
          <dc:creator>Stadlbauer, Sven</dc:creator>
          <dc:date>2025-11-19</dc:date>
          <dc:description>Analytical data for chemical synthesis (HPLC, NMR, HRMS), biological data for in vitro and in vivo evaluation (binding assays, small animal imaging)</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4360</dc:identifier>
          <dc:identifier>10.14278/rodare.4360</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4360</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.1186/s41181-025-00398-9</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42251</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42101</dc:relation>
          <dc:relation>doi:10.14278/rodare.4142</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/health</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/zrt</dc:relation>
          <dc:rights>info:eu-repo/semantics/restrictedAccess</dc:rights>
          <dc:subject>FAP</dc:subject>
          <dc:subject>FAPI</dc:subject>
          <dc:subject>PET</dc:subject>
          <dc:subject>fluorescence-guided surgery</dc:subject>
          <dc:subject>noninvasive molecular imaging</dc:subject>
          <dc:title>Data publication: Synthesis and preclinical evaluation of FAP-targeting radiotracers for PET and optical imaging</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:2126</identifier>
        <datestamp>2026-02-27T10:10:01Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-energy</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Missana, Tiziana</dc:creator>
          <dc:creator>Alonso, Ursula</dc:creator>
          <dc:creator>Mayordomo, Natalia</dc:creator>
          <dc:creator>García-Gutiérrez, Miguel</dc:creator>
          <dc:date>2023-01-29</dc:date>
          <dc:description>Cadmium (Cd) is a toxic heavy metal with very low permissible exposure limits and is, thus, a very dangerous pollutant for the environment and public health and is considered by the World Health Organisation as one of the ten chemicals of major public concern. Adsorption onto solid phases and (co)precipitation processes are the most powerful mechanisms to retain pollutants and limit their migration; thus, the understanding of these processes is fundamental for assessing the risks of their presence in the environment. In this study, the immobilisation of Cd by smectite clay has been investigated by batch sorption tests, and the experimental data were interpreted with a thermodynamic model, including cation exchange and surface complexation processes. The model can describe the adsorption of Cd in smectite under a wide range of experimental conditions (pH, ionic strength, and Cd concentration). Under the conditions analysed in this study, the precipitation of otavite (CdCO₃) is shown to have a limited contribution to Cd immobilisation.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2126</dc:identifier>
          <dc:identifier>10.14278/rodare.2126</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2126</dc:identifier>
          <dc:relation>doi:10.3390/toxics11020130</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-36480</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-36478</dc:relation>
          <dc:relation>doi:10.14278/rodare.2125</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/energy</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>contaminants</dc:subject>
          <dc:subject>cadmium</dc:subject>
          <dc:subject>adsorption</dc:subject>
          <dc:subject>surface complexation modelling</dc:subject>
          <dc:subject>cation exchange</dc:subject>
          <dc:subject>risk assessment</dc:subject>
          <dc:subject>clays</dc:subject>
          <dc:subject>geochemical barrier</dc:subject>
          <dc:subject>otavite</dc:subject>
          <dc:title>Data publication: Analysis of Cadmium Retention Mechanisms by a Smectite Clay in the Presence of Carbonates</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
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        <identifier>oai:rodare.hzdr.de:2197</identifier>
        <datestamp>2024-08-13T12:24:49Z</datestamp>
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        <setSpec>user-robl</setSpec>
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      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Murphy, Gabriel L.</dc:creator>
          <dc:creator>Gericke, Robert</dc:creator>
          <dc:creator>Gilson, Sara</dc:creator>
          <dc:creator>Bazarkina, Elena</dc:creator>
          <dc:creator>Roßberg, André</dc:creator>
          <dc:creator>Kaden, Peter</dc:creator>
          <dc:creator>Thümmler, Robert</dc:creator>
          <dc:creator>Klinkenberg, Martina</dc:creator>
          <dc:creator>Henkes, Maximilian</dc:creator>
          <dc:creator>Kegler, Philip</dc:creator>
          <dc:creator>Svitlyk, Volodymyr</dc:creator>
          <dc:creator>Marquardt, Julien</dc:creator>
          <dc:creator>Lender, Theresa</dc:creator>
          <dc:creator>Hennig, Christoph</dc:creator>
          <dc:creator>Kvashnina, Kristina</dc:creator>
          <dc:creator>Huittinen, Nina Maria</dc:creator>
          <dc:date>2023-03-27</dc:date>
          <dc:description>Experimental and fitted EPR data of Cr-UO2 single crystal grains, EXAFS data Cr-UO2 single crystal grain and powder with Cr redox standards, XANES data Cr-UO2 single crystal grain and powder with Cr redox standards</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2197</dc:identifier>
          <dc:identifier>10.14278/rodare.2197</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2197</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.1107/S1600577520014265</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-36731</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-35473</dc:relation>
          <dc:relation>doi:10.14278/rodare.2196</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/robl</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Cr-doped UO2</dc:subject>
          <dc:subject>Nuclear Fuel</dc:subject>
          <dc:subject>Uranium</dc:subject>
          <dc:subject>EPR</dc:subject>
          <dc:subject>HERFD-XANES</dc:subject>
          <dc:subject>EXAFS</dc:subject>
          <dc:title>Data publication: Deconvoluting Cr States in Cr-Doped UO2 Nuclear Fuels via Bulk and Single Crystal Spectroscopic Studies</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:2750</identifier>
        <datestamp>2024-08-19T08:57:11Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-ecfunded</setSpec>
        <setSpec>user-rodare</setSpec>
        <setSpec>user-elbe</setSpec>
        <setSpec>user-draco-elbe</setSpec>
        <setSpec>user-panosc</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Ziegler, Tim</dc:creator>
          <dc:creator>Göthel, Ilja</dc:creator>
          <dc:creator>Assenbaum, Stefan</dc:creator>
          <dc:creator>Bernert, Constantin</dc:creator>
          <dc:creator>Brack, Florian-Emanuel</dc:creator>
          <dc:creator>Cowan, Thomas</dc:creator>
          <dc:creator>Dover, Nicholas P.</dc:creator>
          <dc:creator>Gaus, Lennart</dc:creator>
          <dc:creator>Kluge, Thomas</dc:creator>
          <dc:creator>Kraft, Stephan</dc:creator>
          <dc:creator>Kroll, Florian</dc:creator>
          <dc:creator>Metzkes-Ng, Josefine</dc:creator>
          <dc:creator>Nishiuchi, Mamiko</dc:creator>
          <dc:creator>Prencipe, Irene</dc:creator>
          <dc:creator>Püschel, Thomas</dc:creator>
          <dc:creator>Rehwald, Martin</dc:creator>
          <dc:creator>Reimold, Marvin</dc:creator>
          <dc:creator>Schlenvoigt, Hans-Peter</dc:creator>
          <dc:creator>Umlandt, Marvin Elias Paul</dc:creator>
          <dc:creator>Vescovi Pinochet, Milenko Andrés</dc:creator>
          <dc:creator>Schramm, Ulrich</dc:creator>
          <dc:creator>Zeil, Karl</dc:creator>
          <dc:date>2024-03-05</dc:date>
          <dc:description>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".</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2750</dc:identifier>
          <dc:identifier>10.14278/rodare.2750</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2750</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/871124/</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-38824</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-38987</dc:relation>
          <dc:relation>doi:10.14278/rodare.2749</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/draco-elbe</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/ecfunded</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/elbe</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/panosc</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:title>Source Data: Laser-driven high-energy proton beams from cascaded acceleration regimes</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:3218</identifier>
        <datestamp>2024-10-22T08:18:13Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-fwd</setSpec>
        <setSpec>user-hzdr</setSpec>
        <setSpec>user-rodare</setSpec>
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      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Souza, Lucas</dc:creator>
          <dc:creator>Santos, Andre</dc:creator>
          <dc:creator>Azpurua, Hector</dc:creator>
          <dc:creator>Resende Filho, Levi</dc:creator>
          <dc:creator>Domingues, Jaco</dc:creator>
          <dc:creator>Matos, Saulo</dc:creator>
          <dc:creator>Nyarko, Samuel</dc:creator>
          <dc:creator>Melo Euzebio, Thiago Antonio</dc:creator>
          <dc:creator>Pessin, Gustavo</dc:creator>
          <dc:date>2024-10-22</dc:date>
          <dc:description>The data contains the analysis results of the research work.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/3218</dc:identifier>
          <dc:identifier>10.14278/rodare.3218</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:3218</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-39738</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-39536</dc:relation>
          <dc:relation>doi:10.14278/rodare.3217</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwd</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Object Detection</dc:subject>
          <dc:subject>Instance Segmentation</dc:subject>
          <dc:subject>Deep Learning</dc:subject>
          <dc:subject>Particle Size Measurement</dc:subject>
          <dc:subject>Crushing Circuit</dc:subject>
          <dc:title>Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size Estimation in the Primary Crusher Input</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:2268</identifier>
        <datestamp>2024-10-24T14:58:47Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Fiedler, Lenz</dc:creator>
          <dc:creator>Cangi, Attila</dc:creator>
          <dc:date>2023-04-20</dc:date>
          <dc:description># Authors:

- Fiedler, Lenz (HZDR / CASUS)
- Cangi, Attila (HZDR / CASUS)

# Affiliations:

HZDR - Helmholtz-Zentrum Dresden-Rossendorf
CASUS - Center for Advanced Systems Understanding

# Dataset description

- System: Be256
- Temperature(s): 3750K, 7500K, 10000K
- Mass density(ies): 1.915 gcc
- Crystal Structure: bcc (material mp-20 in the materials project)
- Number of atomic snapshots: 50
   - 30 (3750K)
   - 10 (7500K)
   - 10 (10000)
- Contents:
   - ideal crystal structure: no
   - MD trajectory: no
   - Atomic positions: no
   - DFT inputs: no
   - DFT outputs (energies): yes
   - SNAP vectors: no
   - LDOS vectors: yes (partially, see below)
        - dimensions: 160x80x80x250
      - note: LDOS parameters are the same for all sizes of the unit cell
   - trained networks: no

# Data generation

Ideal crystal structures were obtained using the Materials Project. (https://materialsproject.org/materials/mp-87/)
DFT-MD calculations were performed using the Vienna Ab initio Simulation Package (https://www.vasp.at/, VASP). DFT calculations were performed using QuantumESPRESSO.
For the VASP calculations, the standard VASP pseudopotentials were used. For Quantum Espresso, pslibrary was used (https://dalcorso.github.io/pslibrary/).
The LDOS was preprocessed using MALA.

# Dataset structure

Each temperature folder contains the following folders:

- ldos: holds the LDOS vectors (LDOS was not calculated for all snapshots!)
- dft_outputs: holds the outputs from the DFT calculations, i.e. energies in the form of a QE output file

Please note that the numbering of the snapshots is contiguous per temperature/mass density/number of atoms, and only data used in publications has been uploaded at this point</dc:description>
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          <dc:identifier>oai:rodare.hzdr.de:2268</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-36846</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-39797</dc:relation>
          <dc:relation>doi:10.14278/rodare.2267</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:title>LDOS/SNAP data for MALA: Beryllium at high temperatures</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:1929</identifier>
        <datestamp>2022-11-08T09:23:32Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Meng, Fanqi</dc:creator>
          <dc:creator>Han, Feifan</dc:creator>
          <dc:creator>Kentsch, Ulrich</dc:creator>
          <dc:creator>Pashkin, Oleksiy</dc:creator>
          <dc:creator>Fowley, Ciaran</dc:creator>
          <dc:creator>Rebohle, Lars</dc:creator>
          <dc:creator>Thomson, Mark D.</dc:creator>
          <dc:creator>Suzuki, Safumi</dc:creator>
          <dc:creator>Asada, Masahiro</dc:creator>
          <dc:creator>Roskos, Hartmut G.</dc:creator>
          <dc:date>2022-11-01</dc:date>
          <dc:description>FTIR transmission spectra of the samples at various temperatures</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/1929</dc:identifier>
          <dc:identifier>10.14278/rodare.1929</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:1929</dc:identifier>
          <dc:relation>doi:10.1364/OL.466392</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-35354</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-35358</dc:relation>
          <dc:relation>doi:10.14278/rodare.1928</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/restrictedAccess</dc:rights>
          <dc:title>Data publication: Coherent coupling of metamaterial resonators with dipole transitions of boron acceptors in Si</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:2301</identifier>
        <datestamp>2023-05-22T07:25:01Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-rodare</setSpec>
        <setSpec>user-energy</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Pfeufer, Rike Alena</dc:creator>
          <dc:date>2023-05-09</dc:date>
          <dc:description>data sets of dynamic contact angle measurements of water onuncoated and coated (heptadecyl punicine) hiddenite, kunzite and quartz.

Measurements were carried out at the OCA25 from DataPhysics Instruments GmbH with the ARCA method.

 </dc:description>
          <dc:description>files are named as follows:
mineral_coated/uncoated_numer of experiment

minerals:
H1-  hiddenite1
H2 - hiddenite 2
K1 - kunzite 1
K2 - kunzite 2
K3 - kunzite 3
Q1 - quartz 1
Q2 - quartz 2
Q3 - quartz 3

coating:
unb - uncoated
C17 - coated with a monolayer of heptadecyl punicine</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2301</dc:identifier>
          <dc:identifier>10.14278/rodare.2301</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2301</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-36943</dc:relation>
          <dc:relation>doi:10.14278/rodare.2300</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/energy</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:title>dynamic contact angles of water of uncoated and coated (heptadecyl punicine) on quartz, hiddenite and kunzite</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:2297</identifier>
        <datestamp>2023-05-22T07:25:02Z</datestamp>
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          <dc:creator>Pfeufer, Rike Alena</dc:creator>
          <dc:date>2023-05-09</dc:date>
          <dc:description>Data sets of surface pressure isotherms for punicine derivatives (octyl-, nonyl-, decyl-, undecyl- and heptadecyl-punicine) and oleic acid/sodium oleate.

Measurements were carried out at the Langmuir-Blodgett Minitrough of KSV Instruments Ltd. For each measurement the surfactant was solubilized in 1:1 EtOH and chloroform. This solution was placed on top of water (conductivity &lt; 0.8 µS) and after an evaporation time of 10 min measurements were started.</dc:description>
          <dc:description>data files are named as follows:
LB_type of surfactant
tabs in data files are named as follows:
type of surfactant_  pH of measurement_date of measurement_number of measurement

surfactants:
OA	Oleic acid
NaOL	Sodium oleate
OP	Octyl punicine
NP 	Nonyl punicine
DP	Decyl punicine
UDP	Undecyl punicine
HDP	Heptadecyl punicine</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2297</dc:identifier>
          <dc:identifier>10.14278/rodare.2297</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2297</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-36944</dc:relation>
          <dc:relation>doi:10.14278/rodare.2296</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Langmuir-Blodgett trough</dc:subject>
          <dc:subject>punicine</dc:subject>
          <dc:subject>surface pressure isotherm</dc:subject>
          <dc:title>surface pressure isotherms for punicine derivatives and oleic acid/sodium oleate</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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        <identifier>oai:rodare.hzdr.de:2333</identifier>
        <datestamp>2023-06-20T06:26:36Z</datestamp>
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          <dc:creator>Kavčič, Aljaž</dc:creator>
          <dc:creator>Podlipec, Rok</dc:creator>
          <dc:creator>Vella, Daniele</dc:creator>
          <dc:creator>Humar, Matjaž</dc:creator>
          <dc:date>2023-06-12</dc:date>
          <dc:description>Supplementary information</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2333</dc:identifier>
          <dc:identifier>10.14278/rodare.2333</dc:identifier>
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          <dc:title>Supplementary file: Intracellular biocompatible hexagonal boron nitride quantum emitters as single-photon sources and barcodes</dc:title>
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        <datestamp>2024-08-12T08:06:43Z</datestamp>
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          <dc:creator>Schilz, Joshua Dietrich</dc:creator>
          <dc:creator>Bodenstein, Elisabeth</dc:creator>
          <dc:creator>Brack, Florian-Emanuel</dc:creator>
          <dc:creator>Horst, Felix</dc:creator>
          <dc:creator>Irman, Arie</dc:creator>
          <dc:creator>Kroll, Florian</dc:creator>
          <dc:creator>Pawelke, Jörg</dc:creator>
          <dc:creator>Prencipe, Irene</dc:creator>
          <dc:creator>Rehwald, Martin</dc:creator>
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          <dc:creator>Schöbel, Susanne</dc:creator>
          <dc:creator>Schramm, Ulrich</dc:creator>
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          <dc:creator>Metzkes-Ng, Josefine</dc:creator>
          <dc:date>2024-02-28</dc:date>
          <dc:description>All necessary Data to recreate the published plots and images in the publication: "Absolute energy-dependent scintillating screen calibration for real-time detection of laser-accelerated proton bunches". Included are the raw scintillating screen images, the plotting data and Python Scripts used for calculations and plotting.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2745</dc:identifier>
          <dc:identifier>10.14278/rodare.2745</dc:identifier>
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          <dc:relation>doi:10.14278/rodare.2744</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/1.0/legalcode</dc:rights>
          <dc:subject>laser-driven protons</dc:subject>
          <dc:subject>scintillating screens</dc:subject>
          <dc:subject>absolute proton number calibration</dc:subject>
          <dc:subject>real-time</dc:subject>
          <dc:subject>spatially resolved</dc:subject>
          <dc:subject>detector</dc:subject>
          <dc:subject>calibration</dc:subject>
          <dc:title>Data publication: Absolute energy-dependent scintillating screen calibration for real-time detection of laser-accelerated proton bunches</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>other</dc:type>
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        <identifier>oai:rodare.hzdr.de:2345</identifier>
        <datestamp>2023-07-06T07:51:35Z</datestamp>
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          <dc:creator>Körber, Lukas</dc:creator>
          <dc:creator>Heins, Christopher</dc:creator>
          <dc:creator>Hula, Tobias</dc:creator>
          <dc:creator>Kim, Joo-Von</dc:creator>
          <dc:creator>Thlang, Sonia</dc:creator>
          <dc:creator>Schultheiß, Helmut</dc:creator>
          <dc:creator>Schultheiß, Katrin</dc:creator>
          <dc:date>2023-06-26</dc:date>
          <dc:description>This data publication contains the data for our publication "Pattern recognition in reciprocal space with a magnon-scattering reservoir" published in Nature Communications. The dataset is structured in folders corresponding to the different figures in the paper. Folder Fig2 and Fig2 contain the experimental data measured with Brillouin-light-scattering microscopy. The files contain the data integrated for the measurement positions described in the methods section in a csv format. Forlder Fig4 contains the evaluated numerical data presented in the corresponding figure. The raw data generated with micromagnetic simulations is too large for this dataset and is available upon request by the authors.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2345</dc:identifier>
          <dc:identifier>10.14278/rodare.2345</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2345</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-37152</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-34945</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>spin wave</dc:subject>
          <dc:subject>magnon</dc:subject>
          <dc:subject>vortex</dc:subject>
          <dc:subject>Brillouin-light scattering</dc:subject>
          <dc:subject>BLS</dc:subject>
          <dc:subject>reservoir computing</dc:subject>
          <dc:subject>neuromorphic computing</dc:subject>
          <dc:subject>nonlinear</dc:subject>
          <dc:subject>three-magnon scattering</dc:subject>
          <dc:subject>micromagnetic simulations</dc:subject>
          <dc:title>Data publication: Pattern recognition in reciprocal space with a magnon-scattering reservoir</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
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        </oai_dc:dc>
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        <identifier>oai:rodare.hzdr.de:2353</identifier>
        <datestamp>2023-10-26T10:17:01Z</datestamp>
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          <dc:creator>Abdussalam, Wildan</dc:creator>
          <dc:date>2023-06-26</dc:date>
          <dc:description>This project consists of forecasting methods for the datasets of Covid 19 for Sachsen and Czechia, and the associated data. In a live setting it is automatically updated via a CI/CD pipeline (e.g. GitLab), and uploaded to a database that can be then accessed by a webserver backend, or a similar data consumer. This dataset has served as a basis for Where2Test website forecast dashboards for Sachsen and Czechia.</dc:description>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>COVID19</dc:subject>
          <dc:title>Forecasting methods for the datasets of Covid 19 for Sachsen and Czechia</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
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        <identifier>oai:rodare.hzdr.de:2776</identifier>
        <datestamp>2024-04-09T10:54:57Z</datestamp>
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          <dc:creator>Černičková, Ivona</dc:creator>
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          <dc:creator>Ďuriška, Libor</dc:creator>
          <dc:creator>Kusý, Martin</dc:creator>
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          <dc:date>2024-03-25</dc:date>
          <dc:description>Measurement results, obtained with a CAMECA IMS 7f-auto, of an as-deposited sample and a sample after 500°C thermal treatment.</dc:description>
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          <dc:identifier>10.14278/rodare.2776</dc:identifier>
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          <dc:relation>doi:10.1016/j.apsusc.2024.159962</dc:relation>
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          <dc:subject>Multilayer</dc:subject>
          <dc:subject>Nanolayer</dc:subject>
          <dc:subject>Heating</dc:subject>
          <dc:subject>Ion-beam mixing</dc:subject>
          <dc:subject>Electron microscopy</dc:subject>
          <dc:subject>Ion irradiation</dc:subject>
          <dc:title>Data publication: Ion-beam induced compositional and structural changes of Al-Cu-Co multilayer stacks</dc:title>
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        <datestamp>2024-08-12T09:49:03Z</datestamp>
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          <dc:date>2023-01-03</dc:date>
          <dc:description>Pattering data from NPVE software for Helium Ion Microscopy (HIM) irradiation data</dc:description>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>focused ion beam</dc:subject>
          <dc:subject>helium ion microscopy</dc:subject>
          <dc:subject>nanopatterning</dc:subject>
          <dc:subject>magnetic</dc:subject>
          <dc:title>Pattering data from NPVE software for Helium Ion Microscopy (HIM) irradiation data</dc:title>
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        <datestamp>2024-08-12T08:02:23Z</datestamp>
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          <dc:title>Data publication: Towards High-Repetition Rate Petawatt Laser Experiments with Cryogenic Jets Using a Mechanical Chopper System</dc:title>
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        <identifier>oai:rodare.hzdr.de:2057</identifier>
        <datestamp>2023-01-23T14:42:52Z</datestamp>
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          <dc:contributor>Dornheim, Tobias</dc:contributor>
          <dc:contributor>Moldabekov, Zhandos</dc:contributor>
          <dc:contributor>Vorberger, Jan</dc:contributor>
          <dc:creator>Böhme, Maximilian</dc:creator>
          <dc:creator>Dornheim, Tobias</dc:creator>
          <dc:creator>Moldabekov, Zhandos</dc:creator>
          <dc:creator>Vorberger, Jan</dc:creator>
          <dc:date>2023-01-04</dc:date>
          <dc:description>This is the archived datasets used for the publication in the article: Ab initio path integral Monte Carlo simulations of hydrogen snapshots at warm dense matter conditions. The dataset also contains the data-analysis python scripts.</dc:description>
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          <dc:subject>Time-dpenedent density functional theory</dc:subject>
          <dc:subject>Electronic structure</dc:subject>
          <dc:subject>Electrical conductivity</dc:subject>
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          <dc:subject>Implantation</dc:subject>
          <dc:subject>SiGeSn</dc:subject>
          <dc:subject>Si1-x-yGeySnx</dc:subject>
          <dc:subject>Sn</dc:subject>
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          <dc:date>2024-12-10</dc:date>
          <dc:description>The files contain the raw data of the following Master Thesis:

Förster, Wenzel
Application of green solvents to remove ionomer-containing binder for PEM water electrolyzer recycling
Master Thesis
TU Bergakademie Freiberg
Date of submission: 2024-12-10

The data contains two excel files and six zip-files.</dc:description>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Recycling</dc:subject>
          <dc:subject>Proton Exchange Membrane Electrolyzer</dc:subject>
          <dc:subject>Froth Flotation</dc:subject>
          <dc:subject>Particle Separation</dc:subject>
          <dc:subject>Nafion</dc:subject>
          <dc:title>Application of green solvents to remove ionomer-containing binder for PEM water electrolyzer recycling (RAW data of the Master Thesis)</dc:title>
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          <dc:date>2024-12-16</dc:date>
          <dc:description>Data sets used to generate the figures and tables in the associated paper. In addition, Matlab files have been attached to ensure that the data can be read correctly.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/3338</dc:identifier>
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          <dc:relation>doi:10.1103/PhysRevD.110.L111903</dc:relation>
          <dc:relation>doi:10.48550/arXiv.2212.03180</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Strong-Field Quantum Electrodynamics</dc:subject>
          <dc:subject>Electron-Positron Pair Production</dc:subject>
          <dc:subject>Breit-Wheeler Process</dc:subject>
          <dc:subject>Non-equilibrium quantum field theory</dc:subject>
          <dc:subject>Wigner formalism</dc:subject>
          <dc:title>Data publication: Pair Production in Circularly Polarized Waves</dc:title>
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          <dc:creator>Marchini, Sara</dc:creator>
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          <dc:creator>Schubert, Markus</dc:creator>
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          <dc:creator>Hampel, Uwe</dc:creator>
          <dc:date>2024-03-19</dc:date>
          <dc:description>This dataset was aquired during gas flow modualtion experiments for determining the axial gas dispersion coefficient in bubble columns. The applied measurement technique is gamma-ray densitometry and the dataset consists of densitometry measurements at several axial positions in the bubble columns. Columns of 100, 150 and 330 mm internal diameter were tested. The 100 mm ID column was tested with three different gas spargers to investigate the effect of the gas distributor on gas dispersion. Several operating conditions were tested inside of the homogenous flow regime. 

Please refer to the attached Excel for details of single files.</dc:description>
          <dc:description>This research was financially supported by DFG, grant HA 3088/18-1</dc:description>
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Simulation results using SINRA are included as well.</dc:description>
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          <dc:creator>Fan, Xingming</dc:creator>
          <dc:date>2020-12-17</dc:date>
          <dc:description>It contains the data measured by the device and the simulation data.</dc:description>
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          <dc:description>Reserach data for Publication: Non-perturbative high-harmonic generation in the three-dimensional Dirac semimetal Cd₃As₂

DOI: 10.1038/s41467-020-16133-8</dc:description>
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          <dc:subject>Terahertz</dc:subject>
          <dc:subject>high harmonics</dc:subject>
          <dc:subject>Dirac material</dc:subject>
          <dc:subject>carrier dynamics</dc:subject>
          <dc:subject>ultrafast</dc:subject>
          <dc:title>Research data: Non-perturbative high-harmonic generation in the three-dimensional Dirac semimetal Cd₃As₂</dc:title>
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          <dc:creator>Vishwakarma, Vineet</dc:creator>
          <dc:date>2021-01-28</dc:date>
          <dc:description>The hydrodynamic data of a single-pass cross-flow sieve tray equipped in an air/water column mockup (0.8 m dia.) are provided here. The uploaded data were obtained after processing the two-phase dispersion data acquired by a novel multi-probe flow profiler. Effective froth height distribution, 3D liquid holdup distribution, and tracer-based data (i.e., appearance time distribution (ATD) parameters and liquid velocity map) are provided for the studied loadings.    </dc:description>
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          <dc:subject>column tray</dc:subject>
          <dc:subject>two-phase cross-flow</dc:subject>
          <dc:subject>hydrodynamics</dc:subject>
          <dc:subject>effective froth height</dc:subject>
          <dc:subject>3D liquid holdup</dc:subject>
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          <dc:title>Hydrodynamic data of an operational single-pass cross-flow sieve tray</dc:title>
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          <dc:creator>Javadi, Aliyar</dc:creator>
          <dc:date>2021-02-08</dc:date>
          <dc:description>Experimental data file for Paper on "Drop Size Dependence of the Apparent Surface Tension of Aqueous Solutions in Hexane Vapor as Studied by Drop Profile Analysis Tensiometry".

These data are measured dynamic surface tension and variations of deviations from Young Laplace fitting, of different drop size of surfactants solution Tridecyl dimethyl phosphine oxide C13DMPO and Oxyethylated alcohol С14ЕО8 in water against air and hexane vapor. </dc:description>
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          <dc:title>Data File for Drop Size Dependence of the Apparent Surface Tension of Aqueous Solutions in Hexane Vapor</dc:title>
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        <identifier>oai:rodare.hzdr.de:824</identifier>
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          <dc:creator>Alsaadawi, Yara</dc:creator>
          <dc:creator>Eichler-Volf, Anna</dc:creator>
          <dc:creator>Heigl, Michael</dc:creator>
          <dc:creator>Zahn, Peter</dc:creator>
          <dc:creator>Albrecht, Manfred</dc:creator>
          <dc:creator>Erbe, Artur</dc:creator>
          <dc:date>2021-03-01</dc:date>
          <dc:description>Microscope video of capped Janus particles propelled in Hydrogen peroxide under influence of varying magnetic fields. The caps compose of ferromagnetic (Co) and paramagnetic (Pd, H2O2 catalyst) elements carefully deposited onto one hemisphere of silica particles, which will later exhibit aligned magnetic moments upon saturation in 1 T magnetic field. The videos demonstrate different motion profiles depending on cluster shapes, with the later determined by cap-cap interaction of individual particles. </dc:description>
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          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-32363</dc:relation>
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          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
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          <dc:title>Control Over Self-Assembled Janus Clusters by the Strength of Magnetic Field in H₂O₂</dc:title>
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      <header>
        <identifier>oai:rodare.hzdr.de:902</identifier>
        <datestamp>2021-04-01T08:01:26Z</datestamp>
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          <dc:creator>Stergiou, Y.</dc:creator>
          <dc:creator>Eckert, K.</dc:creator>
          <dc:creator>Schwarzenberger, K.</dc:creator>
          <dc:date>2021-03-31</dc:date>
          <dc:description>Hele-Shaw cells are a frequently used tool in various fields of chemical technology, and in environmental and biomedical engineering. The flow conditions near the inlet of a radial Hele-Shaw cell significantly affect the outcome of its technological applications. The present work combines Computational Fluid Dynamics (CFD) and micro-Particle Image Velocimetry (μPIV) to explain the entrance phenomena, i.e. flow detachment and vortex generation, in radial Hele-Shaw cells. The experiments show that the flow detachment is determined by the inlet flow Reynolds number, Re. Two-dimensional numerical simulations were employed to further investigate the role of the gap width, w to inlet diameter, D aspect ratio, w/D. The resulting flow regime map is divided by a transitional Re number, Ret, that depends on the aspect ratio. A further parametric study examining how Re and the aspect ratio affect the reattachment length yields an empirical correlation in power-law form. Finally, the impact of the inlet's geometrical features is briefly examined. The current work can be used as a design guide for future radial HS engineering applications.</dc:description>
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          <dc:subject>Hele-Shaw cell</dc:subject>
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          <dc:subject>laminar flow</dc:subject>
          <dc:subject>reattachment length</dc:subject>
          <dc:subject>CFD</dc:subject>
          <dc:subject>μPIV</dc:subject>
          <dc:title>Data for: Entrance effects in a radial Hele-Shaw cell: numerical and experimental study</dc:title>
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