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Subject: Computer and Information Science

61 to 70 of 93 Results

Measurement Performance of Activity Measurements with Newer Generation of Apple Watch in Wheelchair Users with Spinal Cord Injury: Manually and Device-Counted Pushes [Data] Nov 17, 2021 - Medical Informatics Benning, Nils-Hendrik; Knaup, Petra; Rupp, Rüdiger, 2021, "Measurement Performance of Activity Measurements with Newer Generation of Apple Watch in Wheelchair Users with Spinal Cord Injury: Manually and Device-Counted Pushes [Data]", https://doi.org/10.11588/data/P1HEGO, heiDATA, V1, UNF:6:br0+tP0XWfzu+FGO7V4qLw== [fileUNF] This dataset contains the results (manually counted pushes and pushes counted by Apple Watch Series 4) of the study presented in the paper "Accuracy of Activity Measurements with Newer Generations of Apple Watch in Wheelchair Users with Spinal Cord Injury”
Accompanying Code for Chapter 4 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction" Nov 24, 2021 - PhD related material - Faculty of Modern Languages Judea, Alex, 2021, "Accompanying Code for Chapter 4 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"", https://doi.org/10.11588/data/CZZEKX, heiDATA, V1 This release contains the source code used for Chapter 4 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". The code served as a testbed for the assumption that dependency graphs can be an important information source for event extraction....
Accompanying Code and Models for Chapter 5 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction" Nov 24, 2021 - PhD related material - Faculty of Modern Languages Judea, Alex, 2021, "Accompanying Code and Models for Chapter 5 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"", https://doi.org/10.11588/data/Z1RKOI, heiDATA, V1 This release contains the source code used for Chapter 5 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". It contains the implementation of the modular, graph-based event extractor described there. Furthermore, the release contains five...
DSAC* Visual Re-Localization [Data] Jan 7, 2022 - IWR Visual Learning Lab Brachmann, Eric, 2020, "DSAC* Visual Re-Localization [Data]", https://doi.org/10.11588/data/N07HKC, heiDATA, V2 Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes dataset, as well as precomputed camera coordinate files for both aforementioned datasets. For more inf...
Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data] Mar 7, 2022 - Theoretical Physics Li, Kunhe; Oiwa, Nestor Norio; Cordeiro, Claudette E.; Heermann, Dieter W., 2022, "Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]", https://doi.org/10.11588/data/RDISCE, heiDATA, V1 The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. T...
Synthesis of CT images from digital body phantoms using CycleGAN [dataset] Jul 14, 2022 - Computer Assisted Clinical Medicine Zöllner, Frank, 2022, "Synthesis of CT images from digital body phantoms using CycleGAN [dataset]", https://doi.org/10.11588/data/7NRFYC, heiDATA, V1 The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data...
Test data for the Pooch library Jul 25, 2022 - Scientific Software Center (SSC) Uieda, Leonardo, 2022, "Test data for the Pooch library", https://doi.org/10.11588/data/TKCFEF, heiDATA, V1 Pooch is an open-source Python library for data download. This archive contains testing data for Pooch's DataVerse download functionality.
Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates Mar 21, 2023 - Ground truth data for HTR on South Asian Scripts Derrick, Tom; British Library, 2023, "Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates", https://doi.org/10.11588/data/AIQSXL, heiDATA, V1 This dataset comprises 81 digitised images (TIFF files) drawn from a selection of early printed Bengali books (1713-1914) digitised through the Two Centuries of Indian Print project (https://www.bl.uk/projects/two-centuries-of-indian-print). Also contained are ground truth transc...
Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data] Mar 24, 2023 - HITS MBM Rennekamp, Benedikt; Gräter, Frauke, 2023, "Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]", https://doi.org/10.11588/data/HJ6SVM, heiDATA, V1, UNF:6:Da6omTKjrSvNcDwyJxuHOg== [fileUNF] This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related pu...
Source code and data for the PhD Thesis "Learning Neural Graph Representations in Non-Euclidean Geometries" Apr 18, 2023 - PhD related material - Faculty of Modern Languages Lopez, Federico, 2023, "Source code and data for the PhD Thesis "Learning Neural Graph Representations in Non-Euclidean Geometries"", https://doi.org/10.11588/data/KOAMK4, heiDATA, V1 This dataset contains source code and data used in the PhD thesis "Learning Neural Graph Representations in Non-Euclidean Geometries". The dataset is split into four repositories: figet: Source code to run experiments for chapter 6 "Constructing and Exploiting Hierarchical Graphs...

Measurement Performance of Activity Measurements with Newer Generation of Apple Watch in Wheelchair Users with Spinal Cord Injury: Manually and Device-Counted Pushes [Data]

Nov 17, 2021 - Medical Informatics

Benning, Nils-Hendrik; Knaup, Petra; Rupp, Rüdiger, 2021, "Measurement Performance of Activity Measurements with Newer Generation of Apple Watch in Wheelchair Users with Spinal Cord Injury: Manually and Device-Counted Pushes [Data]", https://doi.org/10.11588/data/P1HEGO, heiDATA, V1, UNF:6:br0+tP0XWfzu+FGO7V4qLw== [fileUNF]

This dataset contains the results (manually counted pushes and pushes counted by Apple Watch Series 4) of the study presented in the paper "Accuracy of Activity Measurements with Newer Generations of Apple Watch in Wheelchair Users with Spinal Cord Injury”

Accompanying Code for Chapter 4 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"

Nov 24, 2021 - PhD related material - Faculty of Modern Languages

Judea, Alex, 2021, "Accompanying Code for Chapter 4 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"", https://doi.org/10.11588/data/CZZEKX, heiDATA, V1

This release contains the source code used for Chapter 4 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". The code served as a testbed for the assumption that dependency graphs can be an important information source for event extraction....

Accompanying Code and Models for Chapter 5 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"

Nov 24, 2021 - PhD related material - Faculty of Modern Languages

Judea, Alex, 2021, "Accompanying Code and Models for Chapter 5 of the PhD Thesis "Global Inference and Local Syntax Representations for Event Extraction"", https://doi.org/10.11588/data/Z1RKOI, heiDATA, V1

This release contains the source code used for Chapter 5 of the PhD thesis "Global Inference and Local Syntax Representations for Event Extraction". It contains the implementation of the modular, graph-based event extractor described there. Furthermore, the release contains five...

DSAC* Visual Re-Localization [Data]

Jan 7, 2022 - IWR Visual Learning Lab

Brachmann, Eric, 2020, "DSAC* Visual Re-Localization [Data]", https://doi.org/10.11588/data/N07HKC, heiDATA, V2

Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the MSR 7Scenes dataset, and the Stanford 12Scenes dataset, as well as precomputed camera coordinate files for both aforementioned datasets. For more inf...

Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]

Mar 7, 2022 - Theoretical Physics

Li, Kunhe; Oiwa, Nestor Norio; Cordeiro, Claudette E.; Heermann, Dieter W., 2022, "Prediction and Comparative Analysis of CTCF Binding Sites based on a First Principle Approach [Research Data]", https://doi.org/10.11588/data/RDISCE, heiDATA, V1

The file contains the CTCF-DNA binding sites for complete genome of Homo sapiens (human), Mus musculus (mouse), Sus scrofa (pig), Capra hircus (goat), Aedes aegypti (dengue and yellow fever mosquito) and Drosophila melanogaster (fruit fly) using electronic nucleotide alignment. T...

Synthesis of CT images from digital body phantoms using CycleGAN [dataset]

Jul 14, 2022 - Computer Assisted Clinical Medicine

Zöllner, Frank, 2022, "Synthesis of CT images from digital body phantoms using CycleGAN [dataset]", https://doi.org/10.11588/data/7NRFYC, heiDATA, V1

The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data...

Test data for the Pooch library

Jul 25, 2022 - Scientific Software Center (SSC)

Uieda, Leonardo, 2022, "Test data for the Pooch library", https://doi.org/10.11588/data/TKCFEF, heiDATA, V1

Pooch is an open-source Python library for data download. This archive contains testing data for Pooch's DataVerse download functionality.

Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates

Mar 21, 2023 - Ground truth data for HTR on South Asian Scripts

Derrick, Tom; British Library, 2023, "Ground Truth transcriptions for training OCR of historical Bengali printed texts – Recognition of Early Indian Printed Documents competition - updated with improved XML coordinates", https://doi.org/10.11588/data/AIQSXL, heiDATA, V1

This dataset comprises 81 digitised images (TIFF files) drawn from a selection of early printed Bengali books (1713-1914) digitised through the Two Centuries of Indian Print project (https://www.bl.uk/projects/two-centuries-of-indian-print). Also contained are ground truth transc...

Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]

Mar 24, 2023 - HITS MBM

Rennekamp, Benedikt; Gräter, Frauke, 2023, "Collagen breaks at weak sacrificial bonds taming its mechanoradicals [Data]", https://doi.org/10.11588/data/HJ6SVM, heiDATA, V1, UNF:6:Da6omTKjrSvNcDwyJxuHOg== [fileUNF]

This dataset contains input files for MD simulations, derived breakage counts from these simulations that are used to generate the figures in the publication, and the experimental, uncropped SDS-PAGE gels of the presented results in the related publication. Abstract of related pu...

Source code and data for the PhD Thesis "Learning Neural Graph Representations in Non-Euclidean Geometries"

Apr 18, 2023 - PhD related material - Faculty of Modern Languages

Lopez, Federico, 2023, "Source code and data for the PhD Thesis "Learning Neural Graph Representations in Non-Euclidean Geometries"", https://doi.org/10.11588/data/KOAMK4, heiDATA, V1

This dataset contains source code and data used in the PhD thesis "Learning Neural Graph Representations in Non-Euclidean Geometries". The dataset is split into four repositories: figet: Source code to run experiments for chapter 6 "Constructing and Exploiting Hierarchical Graphs...

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