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1 to 10 of 44 Results
Nov 4, 2022 - Biogeochemistry
Einzmann, Teresa; Schroll, Moritz; Kleint, Jan Frederik; Greule, Markus; Keppler, Frank, 2022, "Application of concentration and 2-dimensional stable isotope measurements of methane to constrain sources and sinks in a seasonally stratified freshwater lake [data]", https://doi.org/10.11588/data/KLFDVF, heiDATA, V1, UNF:6:v5med6vrABS01PP8hfg5JQ== [fileUNF]
Methane (CH4) emissions from aquatic systems have recently been comprised to account for up to 50 % of global CH4 emissions, with lakes representing one of the largest CH4 source within this pool. However, there is large uncertainty associated with CH4 emissions from freshwater e...
Sep 15, 2022 - Geomorphology, Soil Geography and Geoarchaeology
Herzog, Manuel; Katharina Anders; Bernhard Höfle; Olaf Bubenzer, 2022, "Capturing complex star dune dynamics - Repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data [Data]", https://doi.org/10.11588/data/ZAMGCL, heiDATA, V1
Morphologies of highly complex star dunes are the result of aeolian dynamics in past and present times. These dynamics reflect climatic conditions and associated forces like sediment availability and vegetation cover as well as feedbacks with adjacent environments. However, an un...
Aug 9, 2022 - Biogeochemistry
Wieland, Anna; Greule, Markus; Roemer, Philipp; Esper, Jan; Keppler, Frank, 2022, "Climate signals in stable carbon and hydrogen isotopes of lignin methoxy groups from southern German beech trees [data]", https://doi.org/10.11588/data/ZCMVUY, heiDATA, V1, UNF:6:U4nXcHYDxhl9ro8YQIcHsA== [fileUNF]
Stable hydrogen and carbon isotope ratios of wood lignin methoxy groups (δ13CLM and δ2HLM values) have been shown to be reliable proxies of past temperature variations. Previous studies showed that δ2HLM values even work in temperate environments where classical tree-ring width a...
Jul 21, 2022 - 3D Spatial Data Processing
Shinoto, Maria; Doneus, Michael; Haijima, Hideyuki; Weiser, Hannah; Zahs, Vivien; Kempf, Dominic; Daskalakis, Gwydion; Höfle, Bernhard; Nakamura, Naoko, 2022, "3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard", https://doi.org/10.11588/data/TJNQZG, heiDATA, V2
This data set represents 3D point clouds acquired with LiDAR technology and related files from a subregion of 150*436 sqm in the ancient Nakadake Sanroku Kiln Site Center in South Japan. It is a densely vegetated mountainous region with varied topography and vegetation. The data...
May 6, 2022 - Institut für Politische Wissenschaft - AG Tosun
Tosun, Jale; Koch, Marcus A., 2022, "Policy mixes for biodiversity: A diffusion analysis of state-level citizens’ initiatives in Germany [Dataset]", https://doi.org/10.11588/data/B19Q25, heiDATA, V1, UNF:6:8qCURosLF1n/pFBwfrZeEg== [fileUNF]
The dataset contains data used to produce Figure 1 in the article.
Apr 25, 2022 - Biogeochemistry
Schroll, Moritz; Lenhart, Katharina; Greiner, Steffen; Keppler, Frank, 2022, "Making plant methane formation visible – insights from application of 13C-labelled dimethyl sulfoxide [Research Data]", https://doi.org/10.11588/data/VJFIBD, heiDATA, V1, UNF:6:1Pzn25XuesxTt+Ygdeo4vg== [fileUNF]
Methane (CH4) formation by vegetation has been studied intensively over the last 15 years. However, reported CH4 emissions vary by several orders of magnitude, thus making global estimates difficult. Moreover, the mechanism(s) for CH4 formation by plants is (are) largely unknown....
Apr 5, 2022 - Biogeochemistry
Schroll, Moritz, 2022, "Methane cycling in a eutrophic lake characterised by multiple stable isotope and flux measurements [data]", https://doi.org/10.11588/data/MU3CON, heiDATA, V1, UNF:6:uMXNN9yPRjWKSRIzJA3uuA== [fileUNF]
Recent estimations demonstrate that methane (CH4) emissions from aquatic systems are responsible for up to half of global CH4 emissions. Lakes represent one of the largest CH4 sources, and emissions are predicted to increase due to global warming. However, there is a large uncert...
Jan 25, 2022 - 3D Spatial Data Processing
Zahs, Vivien; Winiwarter, Lukas; Anders, Katharina; Williams, Jack G.; Rutzinger, Martin; Bremer, Magnus; Höfle, Bernhard, 2021, "Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code]", https://doi.org/10.11588/data/TGSVUI, heiDATA, V2
The analysis and interpretation of 3D topographic change requires methods that achieve low uncertainties in change quantification. Many recent geoscientific studies that perform point cloud-based topographic change analysis have used the multi-scale-model-to-model-cloudcomparison...
Jan 7, 2022 - Institut für Politische Wissenschaft - AG Tosun
Tosun, Jale; Rinscheid, Adrian, 2022, "What Drives Engagement in the Clean Energy Ministerial? An Assessment of Domestic-Level Factors [Dataset]", https://doi.org/10.11588/data/PVQVWW, heiDATA, V1, UNF:6:QwjNtOHS1nnVsCIBHgxPMg== [fileUNF]
This study concentrates on the Clean Energy Ministerial (CEM) as one of several high-level global forums on climate change governance. The CEM can be conceptualised as a ‘polycentric’ organisation in which its members collaborate on a wide range of issues concerning the clean ene...
Dec 9, 2021 - 3D Spatial Data Processing
Anders, Katharina; Winiwarter, Lukas; Höfle, Bernhard, 2021, "Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]", https://doi.org/10.11588/data/1L11SQ, heiDATA, V1
This dataset comprises the source code (Python scripts) and data to perform spatiotemporal segmentation in time series of surface change data for a (i) synthetic dataset and (ii) hourly snow cover changes acquired by terrestrial laser scanning. Further details are given in the co...
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