651 to 660 of 3,489 Results
Jan 8, 2026 - SFB 1333 A4 - Bruckner group
Itzigehl, Selina; Ott, Tom; Ströhle, Anne-Kathrin; Nguyen, Hoang-Huy; Roham Talei Jeid; Ay, Nağme; Terban, Maxwell; Dyballa, Michael; Schmitz, Guido; Estes, Deven; Bruckner, Johanna R., 2026, "Replication data for: "Efficient synthesis of well-defined ordered mesoporous aluminosilicates with tailorable acidity"", https://doi.org/10.18419/DARUS-5164, DaRUS, V1, UNF:6:Cznj/4TwbYhva1j9oY94ew== [fileUNF]
This dataset contains all primary and/or processed data underlying the publication "Efficient synthesis of well-defined ordered mesoporous aluminosilicates with tailorable acidity". The publication reports the synthesis and characterization of ordered mesoporous aluminosilicates by direct liquid crystal templating. Take a look at the publication Da... |
Jan 7, 2026 - Institute for Theoretical Physics IV
Speck, Thomas; Robinson, Joshua; Hertäg, Kathrin, 2026, "Supporting data for 'Statistics and morphologies of stable droplets in scalar active fluids'", https://doi.org/10.18419/DARUS-5366, DaRUS, V1
Processed data simulation data were used to produce the figures of the accompanying paper. With the given data, the figures in the paper are completely reproducible. The given data is produces by doing simulations of AMB+. Afterwards the trajectories and the founded droplets are characterized. The outcome of this characterization is plotted and can... |
Dec 23, 2025 - Walking Model
Bunz, Elsa; Häufle, Daniel F B; Schmitt, Syn; Geijtenbeek, Thomas, 2025, "Repository for "A spinal network of proprioceptive reflexes can produce a variety of bipedal gaits"", https://doi.org/10.18419/DARUS-4176, DaRUS, V1
This dataset contains the files for "A spinal network of proprioceptive reflexes can produce a variety of bipedal gaits" (E.K. Bunz, D.F.B. Haeufle, S. Schmitt, T. Geijtenbeek, DOI: 10.1038/s42003-025-09307-x). Always cite the paper together with this dataset. A valid Hyfydy license is required to run the files. Please consult the README for detail... |
Dec 22, 2025 - PN 3-5
Sriram, Siddharth, 2025, "Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset", https://doi.org/10.18419/DARUS-5623, DaRUS, V1
This repository is intended to host the supplementary material (dataset and scripts) associated with the article “Optimization of magnetoelectric composites using convolutional neural networks”. The HDF5 file 'Microstructure_data.h5' contains the dataset of microstructural images and their effective properties of interest, computed using the finite... |
Dec 19, 2025 - SFB 1333 A3 - Lotsch group, MPI-FKF
Knapp, Julia; Ortín-Rubio, Borja; Heck, Fabian; Gjorgjevikj, Kristina; Sleptsova, Anastasia; Krause, Simon; Bette, Sebastian; Lotsch, Bettina V., 2025, "Replication Data for: Dynamic breathing behaviour of the titanium- based metal–organic framework NTU-9 upon adsorption of water and organic solvents", https://doi.org/10.18419/DARUS-5230, DaRUS, V1, UNF:6:wcwTvhqPsyJqQ1O3cKtXkA== [fileUNF]
All primary data files of the journal article mentioned can be found here. The data is structured by analysis technique. All files are tagged with the corresponding material. The characterization and catalysis data are recorded experimentally. |
Dec 19, 2025 - 4th Physics Institute
Angstenberger, Simon, 2025, "Data for: "Vibrational Fingerprinting of Gas Mixtures Using COCO-QEPAS"", https://doi.org/10.18419/DARUS-5622, DaRUS, V1
Detection and simultaneous monitoring of multiple trace gases is vital in scientific and industrial processes. Here, we use coherent control in quartz-enhanced photoacoustic spectroscopy (COCO-QEPAS) with an in-situ learning method for rapid fingerprinting of trace gases to identify and monitor arbitrary gases at very low concentrations, without pr... |
Dec 17, 2025 - Materials Design
Forslund, Axel; Jung, Jong Hyun; Ikeda, Yuji; Grabowski, Blazej, 2025, "Data for: Free-energy perturbation in the exchange-correlation space accelerated by machine learning: Application to silica polymorphs", https://doi.org/10.18419/DARUS-4999, DaRUS, V1
Data for the Publication Free-energy perturbation in the exchange-correlation space accelerated by machine learning: Application to silica polymorphs This data set contains: Data for/from the direct upsampling for the rung 1–3 functionals: The effective harmonic potentials The final moment-tensor potentials (for each phase and functional) The train... |
Dec 17, 2025 - EXC IntCDC Research Project 1 'Functionally Graded Concrete Building System – Design, Optimisation, Digital Production and Reuse'
Teichmann, Alexander, 2025, "Replication Data for: Learning from Mixing Power Curves: A Long Short-Term Memory-Based Soft Sensor for Online Assessment of Fresh Concrete Consistency", https://doi.org/10.18419/DARUS-4780, DaRUS, V2, UNF:6:Fx8JPE3/7Uwt7VZOwG2dfQ== [fileUNF]
Overview This dataset contains a synthetic benchmark for studying data-driven assessment of fresh concrete consistency from mixer power consumption time series ("mixing curves"). It was created in the context of the manuscript Learning from Mixing Power Curves: A Long Short-Term Memory-Based Soft Sensor for Online Assessment of Fresh Concrete Consi... |
Dec 16, 2025 - EXC IntCDC Associated Project 58 'NeuralWood'
Akbar, Zuardin; Gambarelli, Serena; Wortmann, Thomas, 2025, "Thin Maple Bilayer Dataset", https://doi.org/10.18419/DARUS-5529, DaRUS, V1, UNF:6:USte3nYdxTofohjUbu3ZRw== [fileUNF]
This dataset contains measured and derived features of 64 small-scale mapple wood bilayer samples. A wood bilayer consists of two bonded layers with differing material or anatomical properties. When exposed to changes in moisture, the layers expand or contract at different rates, producing curvature. This makes bilayers a fundamental system for stu... |
Dec 15, 2025 - Quantum Computing @IAAS
Wundrack, Philipp; Barzen, Johanna; Bechtold, Marvin, 2025, "Data repository for "Accelerating Spiking Neural Networks on CPUs via Cache-aware Splitting"", https://doi.org/10.18419/DARUS-5267, DaRUS, V1
This data repository contains the experiment data and code for the paper "Accelerating Spiking Neural Networks on CPUs via Cache-aware Splitting". The code.zip file contains the git repositories of the code that was used in the experiments: fast-arrays library: executes vectorized calculations with AVX-512F operations mlflow-rs library: client for... |
