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1 to 10 of 15 Results
May 13, 2024 - 3D Spatial Data Processing
Vallejo-Orti, Miguel; Winiwarter, Lukas; Corral, Eva; Williams, Jack; Bubenzer, Olaf; Höfle, Bernhard, 2024, "An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]", https://doi.org/10.11588/data/WGAU4Q, heiDATA, V1
Gullies are landforms with specific patterns of shape, topography, hydrology, vegetation, and soil characteristics. Remote sensing products (TanDEM-X, Sentinel-1, and Sentinel-2) serve as inputs into an iterative algorithm, initialized using a micro-mapping simulation as training... |
Apr 30, 2024 - Kaessmann Lab
Zaremba, Bastienne; Fallahshahroudi, Amir; Schneider, Céline; Schmidt, Julia; Sarropoulos, Ioannis; Leushkin, Evgeny; Berki, Bianka; Van Poucke, Enya; Jensen, Per; Senovilla-Ganzo, Rodrigo; Hervas-Sotomayor, Francisca; Trost, Nils; Lamanna, Francesco; Sepp, Mari; García-Moreno, Fernando; Kaessmann, Henrik, 2024, "Developmental origins and evolution of pallial cell types and structures in birds - Data", https://doi.org/10.11588/data/BX6REK, heiDATA, V1, UNF:6:4DNo7hOUtj/vCfSrVp37wA== [fileUNF]
The advanced cognitive abilities of birds rival those of mammals and have been attributed to evolutionary innovations in the pallium. However, a comprehensive cellular characterization of this brain region in birds has been lacking. We scrutinized the structures, cell types and e... |
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... |
Mar 18, 2024 -
Ratiometric fluorescent sensing of pyrophosphate with sp³-functionalized single-walled carbon nanotubes [data]
Plain Text - 266 B -
MD5: 422c8e7d981afa061c94a19f4986fee5
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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... |
Feb 16, 2024 - Göpfrich Group - Biophysical Engineering of Life
Illig, Maja; Jahnke, Kevin; Weise, Lukas P.; Scheffold, Marlene; Mersdorf, Ulrike; Drechsler, Hauke; Zhang, Yixin; Diez, Stefan; Kierfeld, Jan; Göpfrich, Kerstin, 2024, "Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]", https://doi.org/10.11588/data/ADYUNN, heiDATA, V1, UNF:6:AJdXI51lTUqvs4V/XCVPZQ== [fileUNF]
Contractile rings formed from cytoskeletal filaments mediate the division of cells. Ring formation is induced by specific crosslinkers, while contraction is typically associated with motor protein activity. Here, we engineer DNA nanotubes as mimics of cytoskeletal filaments and a... |
Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
JPEG Image - 476.3 KB -
MD5: a56208e558a72303a968a5a660a4c84b
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Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
TIFF Image - 33.0 MB -
MD5: 3cbb52face4cfe5b5c467e440baf0aec
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Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
JPEG Image - 486.7 KB -
MD5: 6012ae2eec6942b532c26df8b95bb3c1
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Feb 16, 2024 -
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]
TIFF Image - 33.0 MB -
MD5: 41276168cf582087ea79ed58501f50de
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