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1 to 10 of 15 Results

Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code] Aug 18, 2021 - 3D Spatial Data Processing Weiser, Hannah; Winiwarter, Lukas; Anders, Katharina; Fassnacht, Fabian Ewald; Höfle, Bernhard, 2021, "Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]", https://doi.org/10.11588/data/MZBO7T, heiDATA, V1 Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key...
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code] Jun 15, 2021 - 3D Spatial Data Processing Winiwarter, Lukas; Anders, Katharina; Zahs, Vivien; Hämmerle, Martin; Höfle, Bernhard, 2021, "M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]", https://doi.org/10.11588/data/XHYB10, heiDATA, V1 The analysis of topographic time series is often based on bitemporal change detection and quantiﬁcation. For 3D point clouds, acquired using laser scanning or photogrammetry, random and systematic noise has to be separated from the signal of surface change by determining the mini...
Let the team fix it? - Performance and mood of depressed workers and coworkers in different work contexts [Research data] Sep 24, 2021 - AWI Experimental Economics Vollmann, Martin; Schwieren, Christiane; Mattern, Margarete; Schnell, Knut, 2021, "Let the team fix it? - Performance and mood of depressed workers and coworkers in different work contexts [Research data]", https://doi.org/10.11588/data/PRQILA, heiDATA, V1 Depression in the workplace is a significant factor for reduced personal well-being and productivity. Consequently, this has negative effects on the economic success of the companies in which depressed people are employed. In addition, the economy has to deal with the significant...
Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] Dec 9, 2021 - 3D Spatial Data Processing Anders, Katharina; Winiwarter, Lukas; Höfle, Bernhard, 2021, "Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]", https://doi.org/10.11588/data/1L11SQ, heiDATA, V1 This dataset comprises the source code (Python scripts) and data to perform spatiotemporal segmentation in time series of surface change data for a (i) synthetic dataset and (ii) hourly snow cover changes acquired by terrestrial laser scanning. Further details are given in the co...
Göpfrich Group - Biophysical Engineering of Life(Cluster of Excellence "3D Matter Made to Order" and MPI for Medical Research) Nov 30, 2021 The Göpfrich Group is located at at the Max Planck Institute for Medical Research and part of the Cluster of Excellence "3D Matter Made to Order".
Groups discipline resource use under scarcity [Dataset, Instructions, and Replication files] Apr 14, 2021 - NATCOOP Diekert, Florian; Brekke, Kjell Arne, 2021, "Groups discipline resource use under scarcity [Dataset, Instructions, and Replication files]", https://doi.org/10.11588/data/QWSS8L, heiDATA, V1, UNF:6:9a9hVZTgyoX/0ebMHJHayA== [fileUNF] Resource scarcity sharpens the conflict between short term gains and long term sustainability. Psychological research documents that decision makers focus on immediate needs under scarcity. While decision makers use available resources most effectively, they also borrow too much...
Global Health and Economics(Heidelberg Institute of Global Health (HIGH)) Aug 24, 2021 Open research data from the research group on economics and global health at the Heidelberg Institute of Global Health (HIGH).
GIScience / Geoinformatics Research Group(Heidelberg University - Institute of Geography) Oct 12, 2021 Data publications of the GIScience Group at the Institute of Geography at Heidelberg University.
Geomorphology, Soil Geography and Geoarchaeology(Heidelberg University - Institute of Geography) Feb 23, 2021 Open research data from the research group "Geomorphology, Soil Geography and Geoarchaeology" at the Institute of Geography of Heidelberg University.
Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results] Jan 13, 2021 - 3D Spatial Data Processing Anders, Katharina; Winiwarter, Lukas; Mara, Hubert; Lindenbergh, Roderik; Vos, Sander E.; Höfle, Bernhard, 2021, "Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]", https://doi.org/10.11588/data/4HJHAA, heiDATA, V1 This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Python scripts). Further provided is the validation material of the resulting extraction of 4D objects-by-change at the study site of a...

Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]

Aug 18, 2021 - 3D Spatial Data Processing

Weiser, Hannah; Winiwarter, Lukas; Anders, Katharina; Fassnacht, Fabian Ewald; Höfle, Bernhard, 2021, "Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]", https://doi.org/10.11588/data/MZBO7T, heiDATA, V1

Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is as a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key...

M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]

Jun 15, 2021 - 3D Spatial Data Processing

Winiwarter, Lukas; Anders, Katharina; Zahs, Vivien; Hämmerle, Martin; Höfle, Bernhard, 2021, "M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]", https://doi.org/10.11588/data/XHYB10, heiDATA, V1

The analysis of topographic time series is often based on bitemporal change detection and quantiﬁcation. For 3D point clouds, acquired using laser scanning or photogrammetry, random and systematic noise has to be separated from the signal of surface change by determining the mini...

Let the team fix it? - Performance and mood of depressed workers and coworkers in different work contexts [Research data]

Sep 24, 2021 - AWI Experimental Economics

Vollmann, Martin; Schwieren, Christiane; Mattern, Margarete; Schnell, Knut, 2021, "Let the team fix it? - Performance and mood of depressed workers and coworkers in different work contexts [Research data]", https://doi.org/10.11588/data/PRQILA, heiDATA, V1

Depression in the workplace is a significant factor for reduced personal well-being and productivity. Consequently, this has negative effects on the economic success of the companies in which depressed people are employed. In addition, the economy has to deal with the significant...

Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]

Dec 9, 2021 - 3D Spatial Data Processing

Anders, Katharina; Winiwarter, Lukas; Höfle, Bernhard, 2021, "Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]", https://doi.org/10.11588/data/1L11SQ, heiDATA, V1

This dataset comprises the source code (Python scripts) and data to perform spatiotemporal segmentation in time series of surface change data for a (i) synthetic dataset and (ii) hourly snow cover changes acquired by terrestrial laser scanning. Further details are given in the co...

Göpfrich Group - Biophysical Engineering of Life(Cluster of Excellence "3D Matter Made to Order" and MPI for Medical Research)

Nov 30, 2021

The Göpfrich Group is located at at the Max Planck Institute for Medical Research and part of the Cluster of Excellence "3D Matter Made to Order".

Groups discipline resource use under scarcity [Dataset, Instructions, and Replication files]

Apr 14, 2021 - NATCOOP

Diekert, Florian; Brekke, Kjell Arne, 2021, "Groups discipline resource use under scarcity [Dataset, Instructions, and Replication files]", https://doi.org/10.11588/data/QWSS8L, heiDATA, V1, UNF:6:9a9hVZTgyoX/0ebMHJHayA== [fileUNF]

Resource scarcity sharpens the conflict between short term gains and long term sustainability. Psychological research documents that decision makers focus on immediate needs under scarcity. While decision makers use available resources most effectively, they also borrow too much...

Global Health and Economics(Heidelberg Institute of Global Health (HIGH))

Aug 24, 2021

Open research data from the research group on economics and global health at the Heidelberg Institute of Global Health (HIGH).

GIScience / Geoinformatics Research Group(Heidelberg University - Institute of Geography)

Oct 12, 2021

Data publications of the GIScience Group at the Institute of Geography at Heidelberg University.

Geomorphology, Soil Geography and Geoarchaeology(Heidelberg University - Institute of Geography)

Feb 23, 2021

Open research data from the research group "Geomorphology, Soil Geography and Geoarchaeology" at the Institute of Geography of Heidelberg University.

Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]

Jan 13, 2021 - 3D Spatial Data Processing

Anders, Katharina; Winiwarter, Lukas; Mara, Hubert; Lindenbergh, Roderik; Vos, Sander E.; Höfle, Bernhard, 2021, "Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]", https://doi.org/10.11588/data/4HJHAA, heiDATA, V1

This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Python scripts). Further provided is the validation material of the resulting extraction of 4D objects-by-change at the study site of a...

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