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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) -
Analysis of water quality parameters and pharmaceutical trace substances for different solid fractions in a combined sewer.
(Technische Universität Dresden - Faculty of Environmental Sciences - Department of Hydrosciences - Institute of Urban and Industrial Water Management, 2022)The wastewater composition was determined at a combined sewer of the city of Dresden using in situ UV-Vis measurement technology, referenced by wet-chemical analysis of collected samples and additionally a determination ... -
Appendix - MAP 4.0 – Proposal of a prescriptive Maturity Model for assessing the Digitalization of Procurement
(Technische Universität Dresden, 2021)This appendix describes the comparison and evaluation of the identified maturity models. In addition, the three questionnaires used in the case study conducted are illustrated. -
Appendix 1 for "Production planning and scheduling in multi-factory production networks: a systematic literature review" - detailed analysis of the literature set and industry case studies
(Technische Universität Dresden, 2020)In this appendix, we provide interested readers with the opportunity to obtain more detailed information on each individual article in our literature set, the solution methods used and specific highlights. Besides, we ... -
Appendix 2 - Citation network analysis for "Production planning and scheduling in multi-factory production networks: a systematic literature review"
(Technische Universität Dresden, 2020)In this appendix, we present the results of a citation network analysis that exceeded the range of the article but still provides some interesting insights. -
Appendix for the article “Blockchain technology in operations & supply chain management: a content analysis”
(Technische Universität Dresden, 2021)Appendix for the article “Blockchain technology in operations & supply chain management: a content analysis”, published in Logistics Research -
Appendix to Development and Evaluation of a Blockchain Concept for Production Planning and Control in the Semiconductor Industry
(Technische Universität Dresden, 2020)Appendix to "Development and Evaluation of a Blockchain Concept for Production Planning and Control in the Semiconductor Industry", accepted for publication in the 2020 IEEE International Conference on Industrial Engineering ... -
Batch test for measurement of biodegradable and inert COD fraction concentrations in municipal waste waters using UV-Vis senors
(Technische Universität Dresden - Faculty of Environmental Sciences - Department of Hydrosciences - Institute of Urban and Industrial Water Management, 2023)In wastewater from the outflow of primary treatment (wastewater treatment plant, Dresden-Kaditz) and from a combined sewer of the city of Dresden, the wastewater composition was determined using in-situ UV-Vis measurement ... -
Benchmark analysis of synthetical images - (updated) source code and example DEM data
(Technische Universität Dresden, 2019)These files serve as the basis for a benchmark study on the image analysis to extract contact fabric from x-ray tomographies of granular materials. They are based on the python package "spam": The Software for the Practical ... -
Benchmark analysis of synthetical images - source code and example DEM data
(Institut für GeotechnikTechnische Universität Dresden, 2018)These files serve as the basis for a benchmark study on the image analysis to extract contact fabric from x-ray tomographies of granular materials. They are based on the python package "spam": The Software for the Practical ... -
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 ... -
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 ... -
Data on soil properties, associated with the manuscript "Importance of microbial communities at the root-soil interface for extracellular polymeric substances and soil aggregation in semiarid grasslands"
(Technische Universität Dresden, 2021)Dataset of the obtained results per individual soil sample. "Field labels" fit the raw amplicon dataset, which is stored at NCBI Sequence Read Archive (SRA, https://www.ncbi.nlm.nih.gov/), under accession number PRJNA689290. ... -
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 ... -
Data product of Greenland glacier calving front locations delineated by deep learning, 2013 to 2021
(Technische Universität Dresden, 2023)Glacier calving front positions are derived by applying a deep learning method to multispectral Landsat-8 imagery. The product contains 9243 calving front positions across 23 Greenland outlet glaciers from March 2013 to ... -
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. ... -
Dataset (video sequences and orientation information) to measure river surface flow velocities
(Technische Universität Dresden, 2019) -
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 ...