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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)
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. ...