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Unravelling the formation of Hells Bells: underwater speleothems from the Yucatán Peninsula [Data]
Dec 16, 2019 - PhD related material - Geosciences
Ritter, Simon, 2019, "Unravelling the formation of Hells Bells: underwater speleothems from the Yucatán Peninsula [Data]", https://doi.org/10.11588/data/TMYLWS, heiDATA, V2, UNF:6:WXDVvAQ9OEYqhDjPXPlhqg== [fileUNF]
Hells Bells are unique bell-shaped underwater speleothems recently discovered in deep meromictic sinkholes (cenotes) on the Yucatán Peninsula, Mexico. In order to unravel the underwater growth of Hells Bells and identify the mechanism of subaqueous calcite precipita-tion, several...
Methane production by three widespread marine phytoplankton species: release rates, precursor compounds, and potential relevance for the environment [Dataset]
Oct 24, 2019 - Biogeochemistry
Klintzsch, Thomas; Keppler, Frank, 2019, "Methane production by three widespread marine phytoplankton species: release rates, precursor compounds, and potential relevance for the environment [Dataset]", https://doi.org/10.11588/data/9N1LSR, heiDATA, V1, UNF:6:dxf+QSeRKu9v6uPyAUhX8Q== [fileUNF]
We investigated marine algae as a source of methane (CH4) in oxic surface waters of oceans. The widespread haptophytes Emiliania huxleyi, Phaeocystis globosa and Chrysochromulina sp. were investigated. We performed CH4 production and stable carbon isotope measurements and provide...
Biogeochemistry(Heidelberg University - Institute of Earth Sciences)
Oct 24, 2019
Data publications of the Biogeochemistry Research Group at the Institute of Earth Science of Heidelberg University.
Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network [Dataset]
May 21, 2019 - TS-CCEES
Kreyenberg, Philipp J.; Bauser, Hannes H.; Roth, Kurt, 2019, "Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network [Dataset]", https://doi.org/10.11588/data/7NEEKF, heiDATA, V1
This data set accompanies the manuscript ‘Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network’. Concentration fields are stored as portable pixel maps (.ppm) and flow fields are stored in the Middlebury .flo file format (http://vision....
Covariance resampling for particle filter -- state and parameter estimation for soil hydrology [dataset]
Feb 13, 2019 - TS-CCEES
Berg, Daniel; Hannes H. Bauser; Kurt Roth, 2019, "Covariance resampling for particle filter -- state and parameter estimation for soil hydrology [dataset]", https://doi.org/10.11588/data/MFU6EV, heiDATA, V1
This repository contains the data for the paper 'Covariance resampling for particle filter -- state and parameter estimation for soil hydrology'. All plots contained in the paper can be reproduced using this data.
TS-CCEES(Heidelberg University - Institute of Environmental Physics)
Feb 13, 2019
Data publications of the research group "Terrestrial Systems & Chaotic, Complex, and Evolving Environmental Systems (TS-CCEES)" at the Institute of Environmental Physics at Heidelberg University.
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