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heiDATA is an institutional repository for Open Research Data from Heidelberg University. It is managed by Heidelberg University's Research Data Unit, a joint institution of the University Library and the Computing Centre. If you are interested in publishing your data here, please have a look at our user guide and get in touch with us. Detailed information on heiDATA can be found in our service description.
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10,001 to 10,009 of 10,009 Results
SN618.tar
Apr 30, 2024 - Developmental origins and evolution of pallial cell types and structures in birds - Data
TAR Archive - 17.7 GB - MD5: c4b5ed81c318ba129a9993778dfc25ea
V13F06-046_E19.tar
Apr 30, 2024 - Developmental origins and evolution of pallial cell types and structures in birds - Data
TAR Archive - 60.7 GB - MD5: c9a62ca1c3645c8da3ecc0a7bf45a218
V13F06-105_adult.tar
Apr 30, 2024 - Developmental origins and evolution of pallial cell types and structures in birds - Data
TAR Archive - 40.0 GB - MD5: c458bbac734e1a2a0039a1701a5093c3
A Minimalistic, Synthetic Cell-Inspired Metamaterial for Enabling Reversible Strain-Stiffening [data]
May 1, 2024 - 3D Matter Made to Order (3DMM2O)
Taale, Mohammadreza, 2024, "A Minimalistic, Synthetic Cell-Inspired Metamaterial for Enabling Reversible Strain-Stiffening [data]", https://doi.org/10.11588/data/MNMLVX, heiDATA, V2
Strain-stiffening, i.e. the nonlinear stiffening of a material in response to a strain, is an intrinsic feature of many biological systems, including skin, blood vessels, and single cells. To avoid a mismatch in mechanical properties, synthetic materials in contact with such biol...
An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]
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...
Codes.zip
May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]
ZIP Archive - 12.9 KB - MD5: cb55379c51c6a3587ab720087b9972ef
Code
Inputs.zip
May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]
Shapefile as ZIP Archive - 7.1 KB - MD5: 2d6e7c4f81930ea039e86b5d39761c0b
Data
MetaData_iterative_random_forest.txt
May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]
Plain Text - 5.9 KB - MD5: 03e491ffe111e2ad1f3e2bb834e2f0af
Codes metadata
Outputs.zip
May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]
Shapefile as ZIP Archive - 876.5 KB - MD5: f492ebb9c945d58254d338d7d6118236
Data
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