Helmholtz Institute Freiberg for Resource Technology

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    1328 research outputs found

    LyROI – nnU-Net-based Lymphoma Total Metabolic Tumor Volume Delineation

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    Collection of neural network models for metabolic tumor volume delineation in (Non-Hodgkin) lymphoma patients in FDG-PET/CT images. Intended to use within nnU-Net deep learning framework. Trained with a total of 1192 [18F]FDG-PET/CT scans from 716 patients with Non-Hodgkin lymphoma participating in the PETAL trial. For installation and usage instructions, please visit https://github.com/hzdr-MedImaging/LyROI Please cite nnU-Net and the respective paper when using LyROI. List of available models: LyROI_Orig.zip: regular U-Net LyROI_ResM.zip: residual encoder U-Net (medium) LyROI_ResL.zip: residual encoder U-Net (large

    Data publication: Universality of heavy r-process element abundances from a freeze-out model

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    We provide data tables for element abundances from cosmic stellar sources compared those from a heavy-element freeze-out (HEFO) nonequilibrium thermal model.The production of these data was supported by Polish NCN under grant No. 2021/43/P/ST2/03319, by a honorary stipend from the Foundation for Polish Science within the Alexander von Humboldt program under grant No. DPN/JJL/402-4773/2022, by the Klaus Tschira Foundation, by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – RO 3676/7-1, project486 number 537700965, and by the European Union (ERC, ExCEED, project number 101096243)

    Tritium Separation from Gaseous 1,2,3H Isotopologue Mixtures by Selective Adsorption on Ag-Exchanged Zeolite Type Y

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    Spectra files and Origin files of TDS investigations submitted for publicatio

    Data publication: Plant data of the Horizon 2020 project NEXT

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    Plant‑Soil Chemistry Dataset (Raja 2019 Field Campaign) ## 1. Overview This repository contains the **final, cleaned chemistry data** that were produced from the 2019 Raja field campaign. The data combine: * Plant tissue concentrations (leaf, bark, needles, …) for a set of selected elements. * Corresponding soil‑till depth, point location, lithology and basic tree information. * Element‑specific relative‑standard‑deviation (RSD) uncertainties that were calculated from laboratory‑derived uncertainty parameters. All files are provided in **CSV** format (UTF‑8, `,` separator) and/or the R programming language binary format RData. *The exact set of tissue files depends on the species/plant‑parts that were sampled; the naming convention is `pl` + lower‑case abbreviation of the tissue (generated by `abbreviate(Plant, minlength = 2)` + `PlantPart`).* --- ## 2. Column description (common to all tables) | Column | Meaning | Type | |--------|---------|------| | `PointID` | Unique identifier for the sampling point (e.g., `NEXT‑2019‑257`). | character | | `X` / `Y` | Projected coordinates (Easting / Northing, EPSG 3067). | numeric | | `Plant` | Species name (full). | character | | `PlantPart` | Plant part sampled (`Leaf`, `Bark`, `Fruit`, …). | character | | `Tissue` | Short code: ` ` (e.g., `Ac Leaf`). | character | | `Lithology_updated_Sol` | Detailed lithology description from field notes. | character | | `Lith_simpl` | Simplified lithology (e.g., `Mafic rocks`). | character | | `TillDepth_cm` | Soil till depth at the point (cm). | numeric | | **Element columns** (e.g. `Al`, `As`, `Ca`, …) | Measured concentration **or** relative uncertainty, depending on the file (see below). | numeric | | `Tissue` (re‑appears) | Same as above – kept for convenience. | character | ### 2.1. Concentration vs. Uncertainty tables * **`Plant_all_final.csv`** – contains **concentrations** (units as reported by the laboratory, typically mg kg⁻¹). * **`Plant_uncensored_raw.RData`** – contains the very original, untreated data. * **`*_uncertainty*.csv`** – the element columns have been **replaced by their relative standard deviation (RSD)**, i.e. a unit‑less proportion (`0.12` = 12 % RSD). If you need both concentration **and** uncertainty for a given point, use the two files together (join on `PointID`). --- ## 3. Usage notes * **Joining concentration & uncertainty** – the two CSVs 'plant' and 'plant_uncertainty' share the same column order and can be merged on `PointID`. * **Missing values** – `NA` indicates either a non‑detected element or that no uncertainty parameter was available for that element. * **Spatial reference** – coordinates are in **ETRS89 / Lantmäteriet 3006 (EPSG 3067)**, suitable for Swedish national mapping. * **Element selection** – in the subdatasets not every element is present in every tissue file; only the elements that passed the QC selection criteria are kept

    (Dissertation data) Investigation on the surface properties of ultra-fine particles and developing the separation processes for a proton exchange membrane water electrolysis system recycling

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    Data for dissertation M.Sc Sohyun Ahn Title: Investigation on the surface properties of ultra-fine particles and developing the separation processes for a proton exchange membrane water electrolysis system recycling To the Faculty of Mechanical, Process and Energy Engineering of the Technical University Bergakademie Freiberg Year: 202

    Data publication: Synthetic Optical Imaging in PIConGPU

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    Data to create figures for "Synthetic Optical Imaging in PIConGPU" and source code to rerun simulations. `cryojet_openpmd_data.zip`: Simulation with cryojet density slice (Fig 4a), input files to rebuild and rerun simulation are in `input/include` and `input/etc` `cryojet_shadowgram_plugin_data.zip`: Simulation with cryojet shadowgram (Fig 4b, 4c, 4d), input files to rebuild and rerun simulation are in `input/include` and `input/etc` `doubleslit_openpmd_data_setup.zip`: Simulation with double slit setup picture (Fig. 2), input files to rebuild and rerun simulation are in `input/include` and `input/etc` `doubleslit_shadowgram_openpmd_data.zip`: Simulation with double slit shadowgram made with openPMD time integration (Fig. 3b), input files to rebuild and rerun simulation are in `input/include` and `input/etc` `doubleslit_shadowgram_plugin_data.zip`: Simulation with double slit shadowgram made with plugin (Fig. 3a and 3b), input files to rebuild and rerun simulation are in `input/include` and `input/etc` `picongpu-cryojet.zip`: PIConGPU source code for cryojet simulations `picongpu-doubleslit.zip`: PIConGPU source code for double slit simulation

    Data publication: Synthesis and preclinical evaluation of FAP-targeting radiotracers for PET and optical imaging

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    Analytical data for chemical synthesis (HPLC, NMR, HRMS), biological data for in vitro and in vivo evaluation (binding assays, small animal imaging

    MPK Korea-Germany Junior Research Fellowship – Monthly Scientific Report (2022/2023)

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    Monthly research reports written by YeEun Lee as part of the MPK (Max Planck POSTECH/Korea Research Initiative) Korea-Germany Junior Research Fellowship Program. The reports summarize her research activities on the recycling of HTEL electrolyzers, conducted at the Helmholtz Institute Freiberg for Resource Technology (HIF), Helmholtz-Zentrum Dresden-Rossendorf (HZDR)

    Cluster-Freezeout_PLB860

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    Data for particle production in heavy-ion collisions allow the quantum statistical analysis of the parameters for chemical freeze-out of hadron species with special emphasis on light nuclear clusters. Tables are provided for the freeze-out lines in the plane of temperature and chemical potential in ASCII format. These lines, together with abundances of alpha particle clusters are given also in the temperature-density plane using both linear and logarithmic density scale. The data have been obtained in July-August 2024 within a collaboration between 4 authors of the publication in Phys. Lett. B 860(2025) 139206, who represent 5 Institutions: University of Wroclaw, HZDR/CASUS, University of Rostock, TU Bergakademie Freiberg and University of Frankfurt (Main)

    Röntgenbilddaten_KIT_FB_DN30+DN50

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    HDF5-Container enthalten die rekonstruierten Schnittbilder als Stack zu 2x10000 Bilder mit 256x256px. Wechselseitig Bildebene 1 und 2 ("deinterleave"-Funktion verwenden)

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