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Publication Year: 2022

51 to 60 of 215 Results

MPIIDPEye: Privacy-Aware Eye Tracking Using Differential Privacy Oct 28, 2022 - Collaborative Artificial Intelligence Bulling, Andreas, 2022, "MPIIDPEye: Privacy-Aware Eye Tracking Using Differential Privacy", https://doi.org/10.18419/DARUS-3235, DaRUS, V1, UNF:6:1+E3rPNFm33/BHVCDizlJA== [fileUNF] We designed a privacy-aware VR interface that uses differential privacy, which we evaluate on a new 20-participant dataset for two privacy sensitive tasks. The data consists of eye gaze as participants read different types of documents. The dataset consists of a .zip file with two folders (Eye_Tracking_Data and Eye_Movement_Features), a .csv file w...
3DGazeSim Oct 28, 2022 - Collaborative Artificial Intelligence Bulling, Andreas, 2022, "3DGazeSim", https://doi.org/10.18419/DARUS-3232, DaRUS, V1 Dataset of 3D gaze from eye tracking. 14 participants Ages 22-29 years PUPIL head-mounted eye tracker
MPIIGaze Oct 28, 2022 - Collaborative Artificial Intelligence Bulling, Andreas, 2022, "MPIIGaze", https://doi.org/10.18419/DARUS-3230, DaRUS, V1 We present the MPIIGaze dataset that contains 213,659 images we collected from 15 participants during natural everyday laptop use over more than three months. The number of images collected by each participant varied from 34,745 to 1,498. Our dataset is significantly more variable than existing ones with respect to appearance and illumination. The...
Data for "Prediction of Search Targets From Fixations in Open-World Settings" Oct 28, 2022 - Collaborative Artificial Intelligence Bulling, Andreas, 2022, "Data for "Prediction of Search Targets From Fixations in Open-World Settings"", https://doi.org/10.18419/DARUS-3226, DaRUS, V1 We designed a human study to collect fixation data during visual search. We opted for a task that involved searching for a single image (the target) within a synthesised collage of images (the search set). Each of the collages are the random permutation of a finite set of images. To explore the impact of the similarity in appearance between target...
Data for Recognition of Visual Memory Recall Processes Using Eye Movement Analysis Oct 28, 2022 - Collaborative Artificial Intelligence Bulling, Andreas, 2022, "Data for Recognition of Visual Memory Recall Processes Using Eye Movement Analysis", https://doi.org/10.18419/DARUS-3225, DaRUS, V1 This dataset was recorded to investigate the feasibility of recognising visual memory recall from eye movements. Eye movement data was recorded of participants looking at familiar and unfamiliar pictures from four picture categories: abstract, landscapes, faces, and buildings. The study was designed with two objectives in mind: (1) to elicit distin...
Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps Oct 26, 2022 - Projects without PN Affiliation Davis, Kyle; Schulte, Miriam, 2022, "Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps", https://doi.org/10.18419/DARUS-3184, DaRUS, V1 This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided with instructions for accessing the training data, viewing the alread computed models, and all software dependency versions.
COM-4 model to replicate simulation results for the GEO.KW project Oct 26, 2022 - Projects without PN Affiliation Davis, Kyle; Schulte, Miriam, 2022, "COM-4 model to replicate simulation results for the GEO.KW project", https://doi.org/10.18419/DARUS-3185, DaRUS, V1 This data repository contains the COM-4 model for the GEO.KW project. The dataset contains the PFLOTRAN and urbs simulation setup, spack build environment and spack build mirror to replicate the software build environment. A README file is provided, explaining the spack building procedure and running the simulation.
REG-30 model to replicate simulation results for the GEO.KW project Oct 26, 2022 - Projects without PN Affiliation Davis, Kyle; Schulte, Miriam, 2022, "REG-30 model to replicate simulation results for the GEO.KW project", https://doi.org/10.18419/DARUS-3195, DaRUS, V1 This data repository contains the REG-30 model for the GEO.KW project. The dataset contains the PFLOTRAN and urbs software and simulation setup. Instructions for building the spack environment and running the simulation are provided in the README.
Replication Data for: Radial basis function interpolation with partition of unity for PyRBF Oct 26, 2022 - Projects without PN Affiliation Davis, Kyle; Schulte, Miriam, 2022, "Replication Data for: Radial basis function interpolation with partition of unity for PyRBF", https://doi.org/10.18419/DARUS-3183, DaRUS, V1, UNF:6:n9rIOI84ZodNZYhB8p26GQ== [fileUNF] The dataset provides the PyRBF python code to perform partition of unity radial basis function interpolation. This includes all meshes in VTK format and a post processing folder to generate the figures from provided results. The README provides further instructions. All software dependency versions are provided in the README.
Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Oct 26, 2022 - Modeling Strategies for Gas migration in Subsurface Banerjee, Ishani; Walter, Peter, 2022, "Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence", https://doi.org/10.18419/DARUS-2815, DaRUS, V1 This dataset contains the codes used for implementing the method of forced probabilities of the manuscript: The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Here, one can find the codes of implementation of the trick on stochastic invasion percolation (SIP) models discussed in the manuscript; it can be used by th...

MPIIDPEye: Privacy-Aware Eye Tracking Using Differential Privacy

Oct 28, 2022 - Collaborative Artificial Intelligence

Bulling, Andreas, 2022, "MPIIDPEye: Privacy-Aware Eye Tracking Using Differential Privacy", https://doi.org/10.18419/DARUS-3235, DaRUS, V1, UNF:6:1+E3rPNFm33/BHVCDizlJA== [fileUNF]

We designed a privacy-aware VR interface that uses differential privacy, which we evaluate on a new 20-participant dataset for two privacy sensitive tasks. The data consists of eye gaze as participants read different types of documents. The dataset consists of a .zip file with two folders (Eye_Tracking_Data and Eye_Movement_Features), a .csv file w...

3DGazeSim

Oct 28, 2022 - Collaborative Artificial Intelligence

Bulling, Andreas, 2022, "3DGazeSim", https://doi.org/10.18419/DARUS-3232, DaRUS, V1

Dataset of 3D gaze from eye tracking. 14 participants Ages 22-29 years PUPIL head-mounted eye tracker

MPIIGaze

Oct 28, 2022 - Collaborative Artificial Intelligence

Bulling, Andreas, 2022, "MPIIGaze", https://doi.org/10.18419/DARUS-3230, DaRUS, V1

We present the MPIIGaze dataset that contains 213,659 images we collected from 15 participants during natural everyday laptop use over more than three months. The number of images collected by each participant varied from 34,745 to 1,498. Our dataset is significantly more variable than existing ones with respect to appearance and illumination. The...

Data for "Prediction of Search Targets From Fixations in Open-World Settings"

Oct 28, 2022 - Collaborative Artificial Intelligence

Bulling, Andreas, 2022, "Data for "Prediction of Search Targets From Fixations in Open-World Settings"", https://doi.org/10.18419/DARUS-3226, DaRUS, V1

We designed a human study to collect fixation data during visual search. We opted for a task that involved searching for a single image (the target) within a synthesised collage of images (the search set). Each of the collages are the random permutation of a finite set of images. To explore the impact of the similarity in appearance between target...

Data for Recognition of Visual Memory Recall Processes Using Eye Movement Analysis

Oct 28, 2022 - Collaborative Artificial Intelligence

Bulling, Andreas, 2022, "Data for Recognition of Visual Memory Recall Processes Using Eye Movement Analysis", https://doi.org/10.18419/DARUS-3225, DaRUS, V1

This dataset was recorded to investigate the feasibility of recognising visual memory recall from eye movements. Eye movement data was recorded of participants looking at familiar and unfamiliar pictures from four picture categories: abstract, landscapes, faces, and buildings. The study was designed with two objectives in mind: (1) to elicit distin...

Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps

Oct 26, 2022 - Projects without PN Affiliation

Davis, Kyle; Schulte, Miriam, 2022, "Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps", https://doi.org/10.18419/DARUS-3184, DaRUS, V1

This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided with instructions for accessing the training data, viewing the alread computed models, and all software dependency versions.

COM-4 model to replicate simulation results for the GEO.KW project

Oct 26, 2022 - Projects without PN Affiliation

Davis, Kyle; Schulte, Miriam, 2022, "COM-4 model to replicate simulation results for the GEO.KW project", https://doi.org/10.18419/DARUS-3185, DaRUS, V1

This data repository contains the COM-4 model for the GEO.KW project. The dataset contains the PFLOTRAN and urbs simulation setup, spack build environment and spack build mirror to replicate the software build environment. A README file is provided, explaining the spack building procedure and running the simulation.

REG-30 model to replicate simulation results for the GEO.KW project

Oct 26, 2022 - Projects without PN Affiliation

Davis, Kyle; Schulte, Miriam, 2022, "REG-30 model to replicate simulation results for the GEO.KW project", https://doi.org/10.18419/DARUS-3195, DaRUS, V1

This data repository contains the REG-30 model for the GEO.KW project. The dataset contains the PFLOTRAN and urbs software and simulation setup. Instructions for building the spack environment and running the simulation are provided in the README.

Replication Data for: Radial basis function interpolation with partition of unity for PyRBF

Oct 26, 2022 - Projects without PN Affiliation

Davis, Kyle; Schulte, Miriam, 2022, "Replication Data for: Radial basis function interpolation with partition of unity for PyRBF", https://doi.org/10.18419/DARUS-3183, DaRUS, V1, UNF:6:n9rIOI84ZodNZYhB8p26GQ== [fileUNF]

The dataset provides the PyRBF python code to perform partition of unity radial basis function interpolation. This includes all meshes in VTK format and a post processing folder to generate the figures from provided results. The README provides further instructions. All software dependency versions are provided in the README.

Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Oct 26, 2022 - Modeling Strategies for Gas migration in Subsurface

Banerjee, Ishani; Walter, Peter, 2022, "Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence", https://doi.org/10.18419/DARUS-2815, DaRUS, V1

This dataset contains the codes used for implementing the method of forced probabilities of the manuscript: The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Here, one can find the codes of implementation of the trick on stochastic invasion percolation (SIP) models discussed in the manuscript; it can be used by th...

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