181 to 190 of 1,830 Results
Nov 22, 2024 - SFB 1333 - Estes group, ITC
Nguyen, Hoang-Huy; Li, Zheng; Enenkel, Toni; Bauer, Matthias; Dyballa, Michael; Estes, Deven P., 2024, "Publication data for: "Probing the Interactions of Immobilized Ruthenium Dihydride Complexes with Metal Oxide Surfaces by MAS NMR: Effects on CO2 Hydrogenation" - data from Estes group", https://doi.org/10.18419/DARUS-1654, DaRUS, V1
This file contains all the characterization and reactivity data for our publication given in the title. This includes all catalyst characterization data (NMR, IR, and XAS data) and reactivity data (NMR spectra and excel tables containing the results). |
Nov 22, 2024 - Estes Group
Estes, Deven P., 2024, "Replication Data for: Using Support Effects to Increase the Productivity of Immobilized Ruthenium Hydride Catalysts for the Hydrogenation of CO2", https://doi.org/10.18419/DARUS-4565, DaRUS, V1
Replication data for the paper: Using Support Effects to Increase the Productivity of Immobilized Ruthenium Hydride Catalysts for the Hydrogenation of CO2. Contains NMR and IR data for both the catalyst characterization (before and after catalysis) as well as the reaction NMR spectra and a table with the catalytic data summarized. |
Benz, Michael, 2024, "Data for Hydrogen Spillover through Hydride Transfer: The Reaction of ZnO and ZrO2 with Strong Hydride Donors", https://doi.org/10.18419/DARUS-4263, DaRUS, V1, UNF:6:/prwO0mYU07zXPJebhlu5A== [fileUNF]
The data set contains TEM images, XAS data, EPR data, MAS NMR data and NMR data of zinc oxide and zirconium oxide samples before and after treatment with molecular metal hydrides. |
Nov 22, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao, 2024, "SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)", https://doi.org/10.18419/DARUS-3884, DaRUS, V2
Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets to facilitate these analyses. To fill this gap, we introduce SalChartQA - a novel crowd-sourced dataset that uses the BubbleView interface as a proxy for human gaze and a q... |
Nov 22, 2024 - Estes Group
Maier, Sarah Eleonore, 2024, "Data for Comparison of the Catalytic Activity of Surface-Immobilized Copper Complexes with Phosphonate Anchoring Groups for Atom-Transfer Radical Cyclizations and Additions", https://doi.org/10.18419/DARUS-3770, DaRUS, V1
This file contains the NMR- and UV/Vis data relevant to the publication given in the title. This data was produced in the course of our work on alumina immobilized Cu catalysts for the ATRA and ATRC reactions of halogenated organic substrates and gives proof of the reaction products and the catalyst structures both on the surface and in homogeneous... |
Nov 20, 2024 - SFB 1333 A3 - Lotsch group, MPI-FKF
Endo, Kenichi; Canossa, Stefano; Heck, Fabian; Proserpio, Davide M.; Istek, Muhammed Satukbugra; Stemmler, Friedrich; van Slageren, Joris; Hartmann, Sean; Hartschuh, Achim; Lotsch, Bettina V., 2024, "Replication Data for: "Crystalline porous frameworks based on double extension of metal-organic and covalent organic linkages"", https://doi.org/10.18419/DARUS-4566, DaRUS, V1, UNF:6:3yz8QuVP+bonrBlRSFRwJw== [fileUNF]
All primary data files of the journal article mentioned can be found here. The data is structured by materials. The characterization data of each material are located in the subfolders "MOCOF-1", "MOCOF-1-R2", "MOCOF-2", "MOCOF-3", "COF-366-Co", "[Co(tapp)]nXn", "Co(tdpp)", "Co(tapp)", "Co(tdpp)(pba)2(OTf)", and "Others". The characterization data... |
Nov 19, 2024 - Institute for Reactive Flows (IRST)
Iaroslavtceva, Nadezhda, 2024, "Replication Data for: Iaroslavtceva et al. "A consistent MMC-LES approach for turbulent premixed flames" (2024) Proc. Combust. Inst.", https://doi.org/10.18419/DARUS-4570, DaRUS, V1
A Consistent MMC-LES Approach for Turbulent Premixed Flames This data set contains case setups to reproduce the simulation results presented in Iaroslavtceva et al. (2024) Proceedings of the Combustion Institute. In this publication, a set of freely propagating turbulent premixed flames with varying equivalence ratios is used to test the performanc... |
Nov 19, 2024 - Publication: A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures
Krach, David; Weinhardt, Felix; Wang, Mingfeng; Schneider, Martin; Class, Holger; Steeb, Holger, 2024, "Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures", https://doi.org/10.18419/DARUS-4347, DaRUS, V1
Content: This data set includes all the necessary input data to fully replicate the benchmarks and applications in Krach et al.(2024). In addition, the results for all solvers are provided as raw simulation output as well as in condense form. Complete datasets: 01_CYLINDER, 02_SINGLE_PRECIPITATE, 03_SEGMENT1, 04_SEGMENT2, 05_SEGMENT3 Each data set... |
Steinle, Lukas, 2024, "Replication Data for: Automatic Preload Adaptation for Rack-and-Pinion Drives to Maximize Performance and Energy Efficiency", https://doi.org/10.18419/DARUS-4224, DaRUS, V1
This dataset contains all experimental data that is shown and referenced within the paper "Automatic Preload Adaptation for Rack-and-Pinion Drives to Maximize Performance and Energy Efficiency". Electrically preloaded rack-and-pinion drives are typically utilized in machine tools to precisely move heavy loads over long travel distances. In the stat... |
Nov 19, 2024 - Bioprocess
Castillo-Saldarriaga, Carlos Rafael; Takors, Ralf, 2024, "Data for: Substitute yeast extract while maintaining performance: showcase amorpha-4,11-diene production", https://doi.org/10.18419/DARUS-4552, DaRUS, V1, UNF:6:0JCKo+sZSGs4Y0WJItqNqg== [fileUNF]
The DaRUS repository contains the raw data corresponding to the figures of the manuscript "Substitute yeast extract while maintaining performance: showcase amorpha-4,11-diene production". Yeast extract (YE) is a complex nutritional source associated with high performance on microbial production processes. However, its inherent compositional variabi... |
