Helmholtz Institute Freiberg for Resource Technology

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    1328 research outputs found

    PHELIX laser beam center position (THRILL)

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    There are 111 files uploaded. The first one is for training and the rest is for predicition. Each file has 3 columns of data : x position , y position and time. These data were collected by Main amplifier sensor of PHELIX

    NEXT data: Rajapalot Geoscientific Dataset (Peräpöhja Belt, Northern Finland) - background data

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    Format: docx Purpose: Additional information for publications of data stemming from this test site Content: Integrated geological model – The inferred map combines geophysical interpretation with drill‑core chemistry and field verification, providing a 4‑class lithology framework. Over‑burden model – Supports depth‑to‑bedrock estimations High‑resolution geochemistry – Dense Au assay spacing enables robust statistical analyses of mineralisation controls. Environmental context – Habitat‑type polygons allow assessment of ecological constraints. Magnetic & IP signatures – TMI highlights mafic‑rock bodies; IP resistivity discriminates conductive sulphide‑bearing zones (pyrrhotite, graphite) from resistive host rocks. VTEM EM depth of investigation – Provides 3‑D conductivity volumes useful for locating potential deep sulphide lense

    Software: mumax3-dispersion for HPC

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    This is a mumax3 (https://mumax.github.io/) software extension to compute dispersion relations from the mumax3 simulations, especially designed to run on HPC (high-performance computing) clusters. For details on usage or maintenance please contact Dr. Attila Kákay at [email protected]

    Multiphase Python Repository by HZDR

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    The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and setups for the open-source software released by the OpenFOAM Foundation. This includes, among other things, utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and development environment in a self-hosted Gitlab instance

    NEXT Plant data: Results of Quality Assurance and Quality Control - Supplementary material for publications based on this data set

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    Format: HTML document (bookdown format) Purpose: This file provides a detailed description of the quality assurance and quality control (QA/QC) procedures applied to the plant concentration data collected during the study. It includes statistical analysis of reference materials, drift correction, uncertainty modeling, and evaluation of laboratory and field precision. Description of the File Content This file is part of a larger data publication and serves as a supplementary document to the main dataset. It outlines the QA/QC procedures used to ensure the accuracy, precision, and reliability of the plant element concentration data. The file includes: Reference Material (RM) Analysis: Statistical summaries of standard reference materials (SRMs) such as UPDEEP_SPRU_BARK_DRY, UPDEEP_SPRU_TWIG_DRY, and UPDEEP_SPRU_NEED_DRY. Comparison of pre-analyzed SRM values with actual measurements. X-charts showing the performance of SRMs over time and across different batches. Drift and Offset Correction: Visualizations of raw and corrected data for routine samples, laboratory, and field replicates. Analysis of data trends and correction of analytical drift and offsets. Uncertainty Modeling: Calculation of relative standard deviation (RSD) from laboratory replicates. Identification of elements with high uncertainty (RSD > 10%) that may be excluded from further analysis. Tables and visualizations showing the distribution of uncertainties across different plant tissues. Field Precision Assessment: Evaluation of field replicate data to assess variability in field sampling. Identification of elements with poor field precision (RSD > 20%). Data Preparation and Processing: R code for data loading, cleaning, and transformation. Use of packages such as data.table, ggplot2, dplyr, and kableExtra for data manipulation and visualization. Summary of Key Findings and Data Included Reference Materials: The file provides statistical summaries (mean, median, SD, RMAD) of SRMs used to monitor analytical performance. These are compared with actual measurements to assess accuracy and precision. Drift Correction: The data shows the effect of drift correction on plant concentration measurements, improving the consistency of results across different batches. Uncertainty Analysis: The RSD of laboratory replicates is calculated, and elements with high variability are flagged for exclusion. Field Precision: Field replicates are used to assess the variability of sampling and analysis in the field, with some elements showing poor precision. Visualizations: The file includes numerous plots (e.g., X-charts, scatter plots) to illustrate data trends, comparisons, and uncertainty levels

    Data and code publication: Sub-nanosecond structural dynamics of the martensitic transformation in Ni-Mn-Ga

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    Raw data and codes for the publication titled 'Sub-nanosecond structural dynamics of the martensitic transformation in Ni-Mn-Ga' done by Yuru Ge (FWIN-HZDR) and the colleagues. The order of the figures follows the latest manuscript version before submission, labeled "2025.11.12_DESY-NMG_v10"

    DigiFlot: a modular laboratory assistant tailored for froth flotation experiments

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    A modular laboratory assistant tailored for froth flotation experiment

    Multiphase Python Repository by HZDR

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    The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance

    Multiphase Cases Repository by HZDR for OpenFOAM Foundation Software

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    This repository contains simulation setups for the Multiphase Code Repository by HZDR for OpenFOAM Foundation Software. The simulation setups are separated into mono- and polydisperse bubbly flows utilising the Baseline model by HZDR set, setups for a morphology-adaptive multifield two-fluid model (disperse and resolved interfaces) and miscellaneous cases.Acknowledgement: OpenFOAM(R) is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM(R) software via www.openfoam.com. The Multiphase Cases Repository by HZDR for OpenFOAM Foundation Software is not compatible with the software released by OpenCFD Limited, but is based on the software released by the OpenFOAM Foundation via www.openfoam.or

    Multiphase Python Repository by HZDR

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    The python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance

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