Fakultät Umweltwissenschaften
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Projects within this community
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EXTRUSO - Extreme Events in Small and Medium Scale Catchments (EXTRUSO) [4]
The project goal is the development of innovative techniques for spatio-temporal high resolution monitoring and small-scale simulation of extreme events. In a cooperation between the chairs of Hydrology, Meteorology, ... -
HistStadt4D - Multimodale Zugänge zu historischen Bildrepositorien (HistStadt4D) [1]
Die Nachwuchsforschergruppe adressiert drei Fragenkomplexe. Ein geschichtlich-architektonischer Komplex behandelt am Beispiel der baugeschichtlichen Entwicklung der Stadt Dresden im 20. Jahrhundert die Erforschung und ...
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Recent Submissions
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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. ... -
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) -
Test of the minimum zircon sample size for U-Pb-dating of aeolian Quaternary sediments
(Technische Universität DresdenSenckenberg Naturhistorische Sammlungen Dresden, 2020)This dataset contains the results of the U-Pb dating of 2300 detrital zircons from the south west US (Utah, Nevada). The zircons are collected from Quaternary slope deposits between 2014 and 2018 and are measured with a ... -
GNSS observations of Huawei P30 and a local reference station in RINEX format
(Technische Universität Dresden, 2020)The archive contains GNSS observations in RINEX format: of a smartphone Huawei P30, of a local reference station. They were collected in 8 static observation sessions with an overall duration of 77 h. -
GNSS observations of Huawei P30: raw data from GNSSLogger
(Technische Universität Dresden, 2020)The archive contains GNSS observations of a smartphone Huawei P30. They were collected in 8 static observation sessions with an overall duration of 77 h. These raw data sets were written by GNSSLogger. -
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, ... -
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 ... -
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 ... -
Updated structural equation model (SEM) used in the manuscript "Prokaryotic community composition and extracellular polymeric substances affect soil microaggregation in carbonate containing semiarid grasslands"
(Technische Universität Dresden, 2020)Structural equation model used in the manuscript "Prokaryotic community composition and extracellular polymeric substances affect soil microaggregation in carbonate containing semiarid grasslands" (Accepted and published ... -
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 ... -
Structural equation model used in the manuscript "Prokaryotic community composition and extracellular polymeric substances affect soil microaggregation in carbonate containing semiarid grasslands"
(Technische Universität Dresden, 2020)Structural equation model used in the manuscript "Prokaryotic community composition and extracellular polymeric substances affect soil microaggregation in carbonate containing semiarid grasslands" (submitted to Frontiers ... -
Data on soil properties, belonging to the manuscript "Prokaryotic community composition and extracellular polymeric substances affect soil microaggregation in carbonate containing semiarid grasslands"
(Technische Universität Dresden, 2020)Dataset of the obtained results per individual soil sample, excluding the prokaryotic part, as well as the dataset used for the structural equation modelling. Dataset belongs to manuscript "Prokaryotic community composition ... -
FTIR spectra
(Technische Universität Dresden, 2019)FTIR curves of the calibration sets, graphitic schist and artificial soil samples. This data was used as described in section 2.2.1. -
Accompanying materials for the publication: "Identifying and quantifying geogenic organic carbon in soils - the case of graphite" - Data underlying figures and tables
(Technische Universität Dresden, 2019)Final results derived from the described methods and used to create the figures in: https://doi.org/10.5194/soil-5-1-2019 -
Accompanying materials for the publication: "Identifying and quantifying geogenic organic carbon in soils – the case of graphite" - TGA thermograms
(Technische Universität Dresden, 2019) -
Relevant Python scripts for the manuscript "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration experiments evaluated by reflective optical imaging" in Journal "Water"
(Technische Universität Dresden, 2019)This data collection includes the Python script used for image processing and analysis as described in the article "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration ... -
Dataset (video sequences and orientation information) to measure river surface flow velocities
(Technische Universität Dresden, 2019) -
Benchmark dataset using historical images for an automated evaluation of feature matching methods
(Technische Universität Dresden, 2019)Image dataset to the submitted ISPRS GSW2019 publication "Generation of a benchmark dataset using historical photographs for an automated evaluation of different feature matching methods". This dataset contains eight triples ... -
Flow velocity tracking in thermal imagery
(Technische Universität Dresden, 2018)Image data set to the submitted WRR publication ”Evaluating Image Tracking Approaches for Surface Velocimetry with Thermal Tracers“. Lab_Experiments_Data file folder includes eight image sequences acquired in lab ... -
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 ...
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