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Now showing items 1-10 of 16
StageDetect - An image-based tool for automatic water stage detection - image dataset
(Technische Universität Dresden, 2018)
The dataset includes image sets and data to reference the image measurements. The image sets and datasets are used for figure 3 in the in the WRR manuscript 'Automatic image-based water stage measurement for long-term ...
Dataset: Image-based water stage measurement with deep learning
(Technische Universität Dresden, 2020)
This dataset contains the results of the application of deep learning to classify water areas in images captured with a low-cost Raspberry Pi camera. Furthermore, the photogrammetrically measured 3D point cloud of the shore ...
Carbon to nitrogen (C/N) ratios, δ15N [‰] and δ13C [‰] of shoot and root tissues from three peat forming plants
(Technische Universität Dresden, 2020)
Detailed description on data acquisition can be found here:
Zeh, L., Igel, T. M., Schellekens, J., Limpens, J., Bragazza, L., & Kalbitz, K. (2020). Vascular plants affect properties and decomposition of moss-dominated ...
Carbon to nitrogen (C/N) ratios, δ15N [‰] and δ13C [‰] of peat core increments
(Technische Universität Dresden, 2020)
Detailed description on data acquisition can be found here: Zeh, L., Igel, T. M., Schellekens, J., Limpens, J., Bragazza, L., & Kalbitz, K. (2020). Vascular plants affect properties and decomposition of moss-dominated peat, ...
Pyrolysis data to reveal molecular composition of peat and peat forming plants
(Technische Universität Dresden, 2020)
Detailed data description can be found here:
Zeh, L., Igel, T. M., Schellekens, J., Limpens, J., Bragazza, L., & Kalbitz, K. (2020). Vascular plants affect properties and decomposition of moss-dominated peat, particularly ...
Privacy-aware visualization of volunteered geographic information (VGI) to analyze spatial activity: A benchmark implementation
(Technische Universität Dresden, 2020)
Supplementary Materials (release v0.1.0)
Dataset (video sequences and orientation information) to measure river surface flow velocities
(Technische Universität Dresden, 2019)
Data set to the publication Vertical partitioning of CO2 production in a forest soil
(Technische Universität Dresden, 2020)
The data belong to the publication Wordell-Dietrich, P., Don, A., Wotte, A., Rethemeyer, J., Bachmann, J., Helfrich, M., Kirfel, K., & Leuschner, C. (2019). Vertical partitioning of CO2 production in a Dystric Cambisol. ...
meinGrün Supplementary Materials for mCloud
(Technische Universität DresdenAlexander Dunkel, Madalina Gugulica, 2021)
This collection includes Supplementary Materials from the IfK results for meinGrün, made available on mCloud:
1. Metadata Dresden dataset
2. Metadata Heidelberg dataset
3. Use Case Web Portal Heatmap "Großer Garten"
Manually delineated glacier calving fronts of 23 Greenland and 2 Antarctic outlet glaciers from 2013 to 2021 and source code for automated extraction by deep learning
(Technische Universität Dresden, 2022)
Supplementary material to the manuscript: Loebel, E., Scheinert, M., Horwath, M., Heidler, K., Christmann, J., Phan, L., Humbert, A., Zhu, X. (2022): Extracting glacier calving fronts by deep learning: the benefit of ...