-
SWOT analysis
contain all functions necessary to generate the results from the submitted paper "Improving SWOT Water Surface Elevation Accuracy for Flood Detection and Lake Monitoring Through... -
Detection Framework and Listening-Test Platform for the Identification of...
The reliable identification of acoustically dominant wind turbine noise (WTN) in long-term field measurements is a key prerequisite for analysing source-specific noise... -
Code Supplement: Sample-based moving horizon estimation
This dataset contains the MATLAB code for the simulation example in the paper "Sample-based moving horizon estimation". -
ampd-einstein-elevator-tests
There is no description for this dataset
-
AI_MAUT
This repository contains a testversion of the klimascanner and matlab function to make a montecarlo simulation of the MAUT parameters as well as a matlab function to compute the... -
Open-accesss database for meta-models for fatigue calculations of reference...
This open-access data base contains developed Kriging meta-models for the fatigue load prediction as well as the corresponding training and test data of various reference wind... -
Messung phänomenologischer Koeffizienten zur Modellierung des Wärme- und...
Dieser Datensatz enthält die Daten für den DFG-Abschlussbericht „Messung phänomenologischer Koeffizienten zur Modellierung des Wärme- und Stofftransportes in ionenleitenden... -
Second NFDI4Chem User Survey
NFDI4Chem Online Survey 2023 Dataset The NFDI4Chem consortium regulary conducts user survey to monitor the state of research data management in Chemistry. The dataset contains... -
Source-code: Corrosion-Fatigue Degradation in Reinforced Concrete Structures
FEniCSx code for the multiphysics computational framework for corrosion-fatigue in reinforced concrete: This open-access computational code is developed to implement the... -
Bethe ansatz data for the open $D_3^{(2)}$ spin chain
Finite size Bethe ansatz data for the RG trajectories of low energy states of the D_3^(2) spin chain with open boundary conditions. For details see: H. Frahm, S. Gehrmann, R. I.... -
Lithium Faraday Filter
Raw data of the manuscript Lithium Faraday Filter. -
Code Supplement: Estimating Hormone Concentrations in the Pituitary-Thyroid...
This dataset contains the supplementary MATLAB code for the paper "Estimating Hormone Concentrations in the Pituitary-Thyroid Feedback Loop from Irregularly Sampled Measurements". -
A Simulation–Optimization Tool for Agro-Hydrological Modeling with SWAP in Hamerstorf
The tool was developed within the DFG research project "Improving the agro-hydrological simulation of irrigation in catchments under extreme climatic conditions by using... -
HyTowering: Acceleration measurements of a large-scale segmented concrete tower
This data is a selection of the downsampled acceleration data from the large-scale segemented concrete tower in the span field under ambient excitation for various preload... -
Entwicklung eines linsenfreien Fluoreszenzmikroskops zur online...
In order to comply with the regulatory quality requirements of the U.S. Food and Drug Administration (FDA), the use of Process Analytical Technologies (PAT) is essential in... -
Simulation example of the paper "Robust traffic scenario generation using an...
This dataset contains the Octave-Code for the numerical examples of the paper "Robust traffic scenario generation using an affine input parameterization" by Philipp... -
Publication Dataset AEM Special issue 2025 Surface tension Ti64 LZH
There is no description for this dataset
-
Advancing Cold Roll Bonding Efficiency by preceding XHV-Adequate Laser Deoxidation
Surface Roughness and Critical Deformation Dataset This supplementary Dataset contains experimental data related to surface roughness measurements and critical deformation... -
SPP 2020 – Fatigue and Acoustic Emission Data of High-Strength Concretes and...
This dataset contains experimental fatigue data from compressive cyclic loading tests on four high-strength concretes and their corresponding mortars. The materials vary... -
Source-Code-Data: Deep learning-aided inverse design of porous metamaterials
The ultimate aim of the study is to explore the inverse design of porous metamaterials using a deep learning-based generative framework. Specifically, we develop a property-...