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671 to 680 of 683 Results
Figure_S8_processed_images.zip
Jan 27, 2021 - Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]
ZIP Archive - 8.9 MB - MD5: f0ed5e19b51bfa5085728dd00e9545ec
Figure_S8_raw_images.zip
Jan 27, 2021 - Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]
ZIP Archive - 179.0 MB - MD5: 4c6370adb46a94e3eb790b95aee56fe3
Scripts.zip
Jan 27, 2021 - Stabilizing γ-MgH₂ at Nanotwins in Mechanically Constrained Nanoparticles [Research Data and Source Code]
ZIP Archive - 45.7 KB - MD5: b1a4e1fa0945e11f3024edceaae946ef
Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]
Jan 13, 2021 - 3D Spatial Data Processing
Anders, Katharina; Winiwarter, Lukas; Mara, Hubert; Lindenbergh, Roderik; Vos, Sander E.; Höfle, Bernhard, 2021, "Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]", https://doi.org/10.11588/data/4HJHAA, heiDATA, V1
This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Python scripts). Further provided is the validation material of the resulting extraction of 4D objects-by-change at the study site of a...
code_spatiotemporal_segmentation.zip
Jan 13, 2021 - Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]
ZIP Archive - 32.9 KB - MD5: e70398ca0e02a06ce70567fb9fcf15e9
Code
validation_material.zip
Jan 13, 2021 - Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]
ZIP Archive - 6.0 GB - MD5: 9e2891179c4e7dcbcdcb75719676cf84
Data
validation_result.zip
Jan 13, 2021 - Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]
ZIP Archive - 1.1 KB - MD5: 4487e9753808165b4f0f6b0630a56225
Data
Image-based screening for stress granule regulators
Jan 7, 2021 - Stoecklin_BCH_MI3
Eiermann, Nina; Stoecklin, Georg, 2021, "Image-based screening for stress granule regulators", https://doi.org/10.11588/data/KRPJ9A, heiDATA, V1
The supplied macro provides the opportunity to analyse large-scale image datasets, derived from image-based screening approaches. It can be used as a base for the segmentation of individual cells, referred as regions of interest (ROIs), and the detection and quantification of the...
ImageAnalysis_ScreenSGRegulators_IJmacro.ijm
Jan 7, 2021 - Image-based screening for stress granule regulators
Unknown - 16.5 KB - MD5: f948d0fec88c4045e42a6f4aa69bf1be
ImageAnalysis_ScreenSGRegulators_IJmacro.txt
Jan 7, 2021 - Image-based screening for stress granule regulators
Plain Text - 16.9 KB - MD5: 03d13078ebae2a185729c9d41d9bb5dd
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