Helmholtz Institute Freiberg for Resource Technology
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1328 research outputs found
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Data publication: In vivo real-time monitoring of tissue perfusion via L-lactate levels in interstitial fluid: An innovative and portable microfluidic device trial using a pig model
No full textThis dataset contains all data and results for figure plotting in the project 'In vivo real-time monitoring of tissue perfusion via L-lactate levels in interstitial fluid: An innovative and portable microfluidic device trial using a pig model'
Multiphase Python Repository by HZDR
No full textThe 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
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
Data publication: Noise-induced nonreciprocal topological dissipative solitons in directionally coupled chains and lattices
No full textSimulation data in .npy format (Python) and the corresponding scripts (.py files) to run and generate the plots in the article
Data publication: A multiscale investigation of uranium(VI) interaction with a freshwater diatom species
No full textThe stored data sets represent the microscopic and spectroscopic data generated at the HZDR that were used for the publication about the interaction of uranium(VI) with a freshwater diatom species
QEDFeynmanDiagrams.jl
No full textGenerator for QED Feynman diagrams and ComputableDAGs.jl to compute scattering processes' matrix elements
Multiphase Python Repository by HZDR
No full textThe 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
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
Probing structural and optical modulations in metal-ion co-doped gadolinium vanadate: a combined spectroscopic and diffraction study
No full textData of: Probing structural and optical modulations in metal-ion co-doped gadolinium vanadate: a combined spectroscopic and diffraction stud
DigiFlot: a modular laboratory assistant tailored for froth flotation experiments
No full textA modular laboratory assistant tailored for froth flotation experiment