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Subject: Earth and Environmental Sciences Publication Year: 2024

1 to 5 of 5 Results

OpenStreetMap land use for Europe "Research Data" Apr 26, 2024 - GIScience / Geoinformatics Research Group Schultz, Michael; Li, Hao; Wu, Zhaoyhan; Wiell, Daniel; Auer, Michael; Zipf, Alexander, 2024, "OpenStreetMap land use for Europe "Research Data"", https://doi.org/10.11588/data/IUTCDN, heiDATA, V1 OSMLanduse data is a scientific dataset generated within the scope of the Horizon 2020 - LandSense project. It is a classification of Sentinel-2 imagery using a deep learning model trained on OSM landuse and landcover features. The data might contain errorneous classifications. T...
Continental subduction controls regional magma heterogeneity and distribution of porphyry deposits in post-collisional settings [Research Data] Mar 11, 2024 - Geo- and Cosmochemistry Soder, Christian; Dunga, Jerry; Romer, Rolf, 2024, "Continental subduction controls regional magma heterogeneity and distribution of porphyry deposits in post-collisional settings [Research Data]", https://doi.org/10.11588/data/QS478V, heiDATA, V1, UNF:6:D+vIIpuy9ouCOBLNr0aUvg== [fileUNF] This dataset contains whole-rock geochemical and mineral chemical data for ultrapotassic volcanic rocks of the Efogi Volcanic Field, Papua New Guinea. Abstract: Continental subduction is the major cause of regional heterogeneities in the lithospheric mantle and contrasting types...
Integrating VGI contributions for gully mapping using Kalman filter and machine learning Feb 19, 2024 - 3D Spatial Data Processing Vallejo Orti, Miguel; Anders, Katharina; Ajali, Oliubikum; Bubenzer, Olaf; Höfle, Bernhard, 2024, "Integrating VGI contributions for gully mapping using Kalman filter and machine learning", https://doi.org/10.11588/data/UHSQG0, heiDATA, V1, UNF:6:dbfZe/C8CmWXcBEZJg2RPw== [fileUNF] The codes and datsets included are related to experiments and results conducted to integrate different lines digitized by volunteers using Kalman filter with changing amount of input lines. Three approaches are included: i) Kalman filtering integration to investigate the role of...
Six years of continuous CH4 mole fraction and δ13C-CH4 measurements in Heidelberg (Germany) [data] Jan 19, 2024 - Atmosphäre Schmidt, Martina; Hoheisel, Antje, 2024, "Six years of continuous CH4 mole fraction and δ13C-CH4 measurements in Heidelberg (Germany) [data]", https://doi.org/10.11588/data/OXKVW2, heiDATA, V1 δ13C-CH4 and the mole fraction of CH4 have been measured continuously since April 2014 using a cavity ring-down spectroscopy (CRDS) analyser in Heidelberg, Germany. This 6-year time series shows an increasing trend of (6.8 ± 0.3)ppb a−1 for the CH4 mole fraction between 2014 and...
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation Jan 18, 2024 - 3D Spatial Data Processing Weiser, Hannah; Ulrich, Veit; Winiwarter, Lukas; Esmorís, Alberto M.; Höfle, Bernhard, 2024, "Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation", https://doi.org/10.11588/data/UUMEDI, heiDATA, V1, UNF:6:9U7BGTgjjsWd1GduT1qXjA== [fileUNF] This dataset contains 11 terrestrial laser scanning (TLS) tree point clouds (in .LAZ format v1.4) of 7 different species, which have been manually labeled into leaf and wood points. The labels are contained in the Classification field (0 = wood, 1 = leaf). The point clouds have a...

OpenStreetMap land use for Europe "Research Data"

Apr 26, 2024 - GIScience / Geoinformatics Research Group

Schultz, Michael; Li, Hao; Wu, Zhaoyhan; Wiell, Daniel; Auer, Michael; Zipf, Alexander, 2024, "OpenStreetMap land use for Europe "Research Data"", https://doi.org/10.11588/data/IUTCDN, heiDATA, V1

OSMLanduse data is a scientific dataset generated within the scope of the Horizon 2020 - LandSense project. It is a classification of Sentinel-2 imagery using a deep learning model trained on OSM landuse and landcover features. The data might contain errorneous classifications. T...

Continental subduction controls regional magma heterogeneity and distribution of porphyry deposits in post-collisional settings [Research Data]

Mar 11, 2024 - Geo- and Cosmochemistry

Soder, Christian; Dunga, Jerry; Romer, Rolf, 2024, "Continental subduction controls regional magma heterogeneity and distribution of porphyry deposits in post-collisional settings [Research Data]", https://doi.org/10.11588/data/QS478V, heiDATA, V1, UNF:6:D+vIIpuy9ouCOBLNr0aUvg== [fileUNF]

This dataset contains whole-rock geochemical and mineral chemical data for ultrapotassic volcanic rocks of the Efogi Volcanic Field, Papua New Guinea. Abstract: Continental subduction is the major cause of regional heterogeneities in the lithospheric mantle and contrasting types...

Integrating VGI contributions for gully mapping using Kalman filter and machine learning

Feb 19, 2024 - 3D Spatial Data Processing

Vallejo Orti, Miguel; Anders, Katharina; Ajali, Oliubikum; Bubenzer, Olaf; Höfle, Bernhard, 2024, "Integrating VGI contributions for gully mapping using Kalman filter and machine learning", https://doi.org/10.11588/data/UHSQG0, heiDATA, V1, UNF:6:dbfZe/C8CmWXcBEZJg2RPw== [fileUNF]

The codes and datsets included are related to experiments and results conducted to integrate different lines digitized by volunteers using Kalman filter with changing amount of input lines. Three approaches are included: i) Kalman filtering integration to investigate the role of...

Six years of continuous CH4 mole fraction and δ13C-CH4 measurements in Heidelberg (Germany) [data]

Jan 19, 2024 - Atmosphäre

Schmidt, Martina; Hoheisel, Antje, 2024, "Six years of continuous CH4 mole fraction and δ13C-CH4 measurements in Heidelberg (Germany) [data]", https://doi.org/10.11588/data/OXKVW2, heiDATA, V1

δ13C-CH4 and the mole fraction of CH4 have been measured continuously since April 2014 using a cavity ring-down spectroscopy (CRDS) analyser in Heidelberg, Germany. This 6-year time series shows an increasing trend of (6.8 ± 0.3)ppb a−1 for the CH4 mole fraction between 2014 and...

Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation

Jan 18, 2024 - 3D Spatial Data Processing

Weiser, Hannah; Ulrich, Veit; Winiwarter, Lukas; Esmorís, Alberto M.; Höfle, Bernhard, 2024, "Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation", https://doi.org/10.11588/data/UUMEDI, heiDATA, V1, UNF:6:9U7BGTgjjsWd1GduT1qXjA== [fileUNF]

This dataset contains 11 terrestrial laser scanning (TLS) tree point clouds (in .LAZ format v1.4) of 7 different species, which have been manually labeled into leaf and wood points. The labels are contained in the Classification field (0 = wood, 1 = leaf). The point clouds have a...

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