421 to 430 of 1,833 Results
Feb 16, 2024 - C-X5
Kiemle, Stefanie; Schneider, Jana; Heck, Katharina, 2024, "Replication data for analyzing stable water isotopologue transport within soils using fractionation parameterizations", https://doi.org/10.18419/DARUS-3572, DaRUS, V1
Replication data to reproduce the results presented in J. Schneider & S. Kiemle, K. Heck, Y. Rothfuss, I. Braud, R. Helmig, J. Vanderborght (2024) Analysis of Experimental and Simulation Data of Evaporation-Driven Isotopic Fractionation in Unsaturated Porous Media. (Under review) Vadose Zone. The replication data contains numerical data sets genera... |
Feb 13, 2024 - SciML PDE Benchmark
Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Datasets", https://doi.org/10.18419/DARUS-2986, DaRUS, V8
This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. This dataset is intended to progress the scientific ML research area. In ge... |
Feb 13, 2024 - Analytic Computing
Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "CNVVE Dataset clean audio samples", https://doi.org/10.18419/DARUS-3898, DaRUS, V1
This CNVVE Dataset contains clean audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective folders. These audio samples have undergone a thorough cleaning proces... |
Feb 13, 2024 - Analytic Computing
Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Code for Training and Testing CNVVE", https://doi.org/10.18419/DARUS-3896, DaRUS, V1
This dataset consists of files used for training and testing the CNVVE Dataset. This dataset consists of 950 audio samples encompassing six distinct classes of voice expressions. These expressions were collected from 42 generous individuals who donated their voice recordings for the study. By making the dataset publicly accessible, we hope to facil... |
Feb 13, 2024 - Analytic Computing
Hedeshy, Ramin; Menges, Raphael; Staab, Steffen, 2024, "Raw audio samples of the CNVVE dataset", https://doi.org/10.18419/DARUS-3897, DaRUS, V1
This CNVVE Dataset contains raw audio samples encompassing six distinct classes of voice expressions, namely “Uh-huh” or “mm-hmm”, “Uh-uh” or “mm-mm”, “Hush” or “Shh”, “Psst”, “Ahem”, and Continuous humming, e.g., “hmmm.” Audio samples of each class are found in the respective folders. The samples are recorded through a dedicated website for data c... |
Feb 12, 2024 - Entwickelte Materialien zur Dissertation - On the Development of Activating Teaching Materials in Theoretical Physics
Scheiger, Philipp, 2024, "Entwickelte Materialien zur Dissertation "On the Development of Activating Teaching Materials in Theoretical Physics"", https://doi.org/10.18419/DARUS-3972, DaRUS, V1
This Dataset lists the developed materials and their background files of the dissertation "On the Development of Activating Teaching Materials in Theoretical Physics" by Philipp Scheiger. The material is provided in PDF form, but their generation code and the graphics used are also available. In most cases this is latex code, but in some cases it i... |
Feb 6, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"
Rodrigues, Nils; Dennig, Frederik L.; Brandt, Vincent; Keim, Daniel; Weiskopf, Daniel, 2024, "Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material", https://doi.org/10.18419/DARUS-3451, DaRUS, V1
We evaluated several animations for transitions between scatter plots in a crowd-sourcing study. We published the results in a paper and provide additional information within this supplemental material. Contents: Tables that did not fit into the original paper, due to page limits. An anonymized print-out of the preregistration. The original preregi... |
Feb 6, 2024 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"
Aichem, Michael; Klein, Karsten; Kobourov, Stephen; Schreiber, Falk, 2023, "Supplemental Materials for: "De-emphasise, Aggregate, and Hide: A Study on Interactive Visual Transformations for Group Structures in Network Visualisations"", https://doi.org/10.18419/DARUS-3706, DaRUS, V2
This dataset contains the supplemental materials for our publication "De-emphasise, Aggregate, and Hide: A Study on Interactive Visual Transformations for Group Structures in Network Visualisations". The publication reports on an experiment that we conducted to explore the effects of different interactive visual transformations in network drawings... |
Jan 31, 2024 - Institute of Geodesy
Foster, James, 2024, "Ship-based GNSS Tsunami Detection Pilot Network", https://doi.org/10.18419/DARUS-3895, DaRUS, V1
The dataset contains the real-time GNSS position solutions from ships in the Ship-based GNSS Tsunami Detection Pilot Network. Each file contains the full rate ascii position data for one calendar year per ship with one line per record and the following columns: YYYY MM DD HH MN SS LAT LON ELEV SIGMAY SIGMAX SIGMAZ
Date and time are in UTC. LAT LON... |
Jan 29, 2024 - SFB 1333 A3 - Lotsch group, MPI-FKF
Grunenberg, Lars; Savasci, Gökcen; Emmerling, Sebastian; Heck, Fabian; Bette, Sebastian; Cima Bergesch, Afonso; Ochsenfeld, Christian; Lotsch, Bettina V., 2024, "Replication data of Lotsch group for: "Postsynthetic Transformation of Imine- into Nitrone-Linked Covalent Organic Frameworks for Atmospheric Water Harvesting at Decreased Humidity"", https://doi.org/10.18419/DARUS-3658, DaRUS, V1, UNF:6:6qLrfVdxi4dySJ6NPLMHUw== [fileUNF]
Herein, we report a facile postsynthetic linkage conversion method giving synthetic access to nitrone-linked covalent organic frameworks (COFs) from imine- and amine-linked COFs. The new two-dimensional (2D) nitrone-linked covalent organic frameworks, NO-PI-3-COF and NO-TTI-COF, are obtained with high crystallinity and large surface areas. Nitrone-... |