161 to 170 of 2,114 Results
Jan 16, 2026 - Institute of Thermodynamics and Thermal Process Engineering
Burkhardt, Julia; Bauer, Gernot; Stierle, Rolf; Gross, Joachim, 2026, "Supplementary Material for: A New Group-Contribution Approach for Ideal Gas Heat Capacity, Critical Temperature and Normal Boiling Point", https://doi.org/10.18419/DARUS-5298, DaRUS, V1, UNF:6:nPSGKxgf2iHw5a00gUAPRg== [fileUNF]
This dataset contains the substances used in in the related publication (.csv files), the adjusted group contribution parameters for the ideal gas heat capacity, the normal boiling point and the critical temperature, individually adjusted ideal gas heat capacity parameters (.csv files), the first and second order candidate groups (.py files) and py... |
Jan 14, 2026 - Amplicon based bisulfite NGS data
Jeltsch, Albert, 2026, "Sequencing data related to Gutekunst et al. "Nucleosome linker DNA methylation by DNMT3A/DNMT3B3 is controlled by nucleosome binding and multimerization of DNMT3 complexes on DNA"", https://doi.org/10.18419/DARUS-5490, DaRUS, V1
Methods DNA libraries for Illumina NGS were prepared with a two-step PCR approach. For this, the Nucleosome 1 - Linker - Nucleosome 2 sequence was split into two amplicons, one comprising the Nucleosome 1 - Linker and the second comprising Linker - Nucleosome 2. For library preparation, 1 μL of bisulfite-converted DNA was amplified in a first PCR r... |
Jan 14, 2026 - EXC IntCDC RP 9.2: Data Processing and AI for Predictive and Adaptive Co-Design
Skoury, Lior; Leder, Samuel, 2026, "Digital Twin task logs for Collective Robotic Construction (CRC) — ROB|ARCH 2024", https://doi.org/10.18419/DARUS-5612, DaRUS, V1
Digital Twin task logs for Collective Robotic Construction (CRC) — ROB|ARCH 2024 Digital Twin task logs for Collective Robotic Construction (CRC) — ROB|ARCH 2024 Overview This repository contains a dataset of Digital Twin (DT) task logs from a Collective Robotic Construction (CRC) workshop held at ROB|ARCH 2024. Over three days, 14 participants pro... |
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... |
