Helmholtz Institute Freiberg for Resource Technology
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1328 research outputs found
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Data publication: Second roton feature in the strongly coupled electron liquid
No full textThis repository contains the PIMC raw data as they are visualized in the article "Second roton feature in the strongly coupled electron liquid", and using the same units and conventions
Data publication: Idiomarina aminovorans sp. nov., a halophilic bacterium isolated from the Llamara salt pan in the Atacama Desert of northern Chile
No full textOD values meassured for the determination of growth ranges and optima as well as AAI value
Data publication: Efficacy of various complexing agents for displacing biologically important ligands from Eu(III) and Cm(III) complexes in artificial body fluids – an in vitro decorporation study
No full textTRLFS-, NMR raw dat
Multiphase Cases Repository by HZDR for OpenFOAM Foundation Software
No full textThis 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
Data publication: Fastest spinning millisecond pulsars: Indicators for quark matter in neutron stars?
No full textThis data publication contains the following selected sets of data: 1) hybrid equations of state (EoSs) obtained via Maxwell construction of a first-order phase transition from hadronic to quark matter (hadronic matter: DD2npY-T, quark matter: NJL-model -> parameters: vector coupling and diquark coupling ) 2) files containing outcomes from calculations of compact star configurations with the RNS-code (static configuration, rotation at Kepler frequency, rotation at constant frequency, rotation for fixed rest mass) 3) accretion model (magnetic field + mass accretion
hMtMrFoam - Heat and Mass Transport Multiregion Solver
No full textThe software repository contains a solver to model heat and mass transfer in several regions with OpenFOAM. Heat transport is modelled in the full domain, while fluid dynamics is solved in each layer separately. Mass transfer is simulated only in the bottom layer. The dataset further contains a testcase of a Li-Bi liquid metal battery
Test data for MALA
No full textThis repository contains data to test, develop and debug MALA and MALA based runscripts. If you plan to do machine-learning tests ("Does this network implementation work? Is this new data loading strategy working?"), this is the right data to test with. It is NOT production level data
Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
No full textElectrolyzers-HSI Dataset
Description:
The Electrolyzers-HSI dataset is a multiscene RGB-Hyperspectral benchmark dataset comprising 55 scene of shredded Electrolyzers samples. The RGB images are collected using a Teledyne Dalsa C4020 camera on a conveyor belt, while hyperspectral images (HSI) are acquired with a FENIX spectrometer. The HSI data contains 450 bands in the VNIR and SWIR range [400 - 2500]nm.
Data Format
RGB Images: .jpg files
Ground Truth (GT): .png files. They appear black since the values are between 0 and 5. Correct visualization is done via script.
HSI Data: Each hyperspectral data cube .img file is accompanied by a .hdr file.
Folder Organization
Electrolyzers-HSI: 55 subfolders
1/
’GT.png’ file for segmentation ground truth
‘HSI.img’ and ‘HSI.hdr’ files for HSI data cube
‘RGB.jpg’ file for the RGB image
2/
’GT.png’ file for segmentation ground truth
‘HSI.img’ and ‘HSI.hdr’ files for HSI data cube
‘RGB.jpg’ file for the RGB image
3/4/5/6/ … :Same structure for all rest of folders
Data Classes in Masks
Masks contain 0 to 5 segmentation classes:
0: background
1: “MESH”
2: “Steel_Cathode”
3: "Steel_Anode”
4: “HTEL_Anode”
5: “HTEL_Cathode”
Code Repository
To facilitate reading and working with the data, Python codes are available on the GitHub repository:
https://github.com/hifexplo
Citation
If you use this dataset, please cite the following article:
Word:
Latex
Data publication: Coherent Spin Waves in Curved Ferromagnetic Nanocaps of a 3D-printed Magnonic Crystal
No full textRaw Data, Data analysis, Figures for Publicatio
NEXT Plant data: Results of Quality Assurance and Quality Control - Supplementary material for publications based on this data set
No full textFormat: 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