21 to 30 of 276 Results
Dec 7, 2022 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"
Görtler, Jochen; Spinner, Thilo; Weiskopf, Daniel; Deussen, Oliver, 2022, "Replication Data for: Uncertainty-Aware Principal Component Analysis", https://doi.org/10.18419/DARUS-2321, DaRUS, V1
This dataset contains the source code for uncertainty-aware principal component analysis (UA-PCA) and a series of images that show dimensionality reduction plots created with UA-PCA. The software is a JavaScript library for performing principal component analysis and dimensionality reduction on datasets consisting of multivariate probability distri... |
Schließus, Julian; Gagnon, Louis, 2022, "Data for: Create a Fluid-Structure Simulation Framework for Cycloidal Rotors", https://doi.org/10.18419/DARUS-2232, DaRUS, V2
OpenFOAM simulation case files and results accompanying the article having the same title are included. The pressure and velocity fields could be visualized by using Paraview. The cases are described in the Bachelor Thesis referenced under Related Publication. For details how to use and access the data and code, please see the instructions in the f... |
Dec 6, 2022 - 3rd Physics Institute
Dasari, Durga, 2022, "Replication Data for: Anti-Zeno purification of spin baths by quantum probe measurements", https://doi.org/10.18419/DARUS-3262, DaRUS, V2, UNF:6:5LGVz9ukvWRrstHZVproWQ== [fileUNF]
Datasets to reproduce all plots in the paper. Each spreadsheet (xls file) contains the horizontal and vertical data of a subfigure. The experimental data is produced from the low temperature confocal microscopy setup measuring the fluorescence (photon count) of a color center in diamond under a resonant laser excitation using a inhouse Python softw... |
Nov 30, 2022 - Collaborative Artificial Intelligence
Bulling, Andreas, 2022, "DEyeAdicContact", https://doi.org/10.18419/DARUS-3289, DaRUS, V1, UNF:6:7QxaU+oeOPfaI8gMpCn5cw== [fileUNF]
We created our own dataset of natural dyadic interactions with fine-grained eye contact annotations using videos of dyadic interviews published on YouTube. Especially compared to lab-based recordings, these Youtube interviews allow us to analyse behaviour in a natural situation. All interviews were conducted via video conferencing and provide front... |
Nov 30, 2022 - Collaborative Artificial Intelligence
Bulling, Andreas, 2022, "MPIIMobileAttention", https://doi.org/10.18419/DARUS-3285, DaRUS, V1
This is a novel long-term dataset of everyday mobile phone interactions, continuously recorded from 20 participants engaged in common activities on a university campus over 4.5 hours each (more than 90 hours in total). |
Nov 30, 2022 - Collaborative Artificial Intelligence
Bulling, Andreas, 2022, "MPIIPrivacEye", https://doi.org/10.18419/DARUS-3286, DaRUS, V1
First-person video dataset recorded in daily life situations of 17 participants, annotated by themselves for privacy sensitivity. The dataset of Steil et al. contains more than 90 hours of data recorded continuously from 20 participants (six females, aged 22-31) over more than four hours each. Participants were students with different backgrounds a... |
Nov 30, 2022 - Architectures and Middleware @IAAS
Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Quality Assurance Forms for Grey Literature Studies Supporting Cross-chain Smart Contract Invocations", https://doi.org/10.18419/DARUS-3283, DaRUS, V1
Forms that estimate the quality of candidate grey literature studies to be included in the multi-vocal literature review entitled, "Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review". |
Nov 30, 2022 - Architectures and Middleware @IAAS
Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches", https://doi.org/10.18419/DARUS-3282, DaRUS, V1
This document contains information about: All the studies that were initially accepted for inclusion in the Multi-vocal Systematic Literature review. The studies that were rejected in the second phase and the reasons for their rejection. Filled out data extraction form for the finally-selected studies. The analysis of the extracted data by applying... |
Nov 30, 2022 - Architectures and Middleware @IAAS
Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Qualitative Visual Analysis of Cross-chain Smart Contract Invocation Approaches", https://doi.org/10.18419/DARUS-3281, DaRUS, V1
This document demonstrates the visual qualitative analysis performed over the approaches systematically selected for inclusion in the study entitled, "Cross-Chain Smart Contract Invocations: A Systematic Multi-Vocal Literature Review". |
Nov 30, 2022 - Architectures and Middleware @IAAS
Falazi, Ghareeb; Breitenbücher, Uwe; Leymann, Frank; Schulte, Stefan, 2022, "Cross-chain Smart Contract Invocations - a Multi-vocal Literature Review Protocol", https://doi.org/10.18419/DARUS-3280, DaRUS, V1
This document introduces the protocol that describes how a Multivocal Literature Review (MLR) regarding Cross-chain Smart Contract Invocation (CCSCI) was planned to be conducted. The main purpose of having this protocol is to avoid bias when selecting primary sources and processing them. Furthermore, it helped co-authors gain an overview of the top... |
