10,631 to 10,640 of 11,085 Results
Jan 27, 2025 -
Visualizing sub-organellar lipid distribution using correlative light and electron microscopy data
Gzip Archive - 1.7 TB -
MD5: 8e039bb826f3db7e40cc79a9252031d5
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Jan 27, 2025 -
Visualizing sub-organellar lipid distribution using correlative light and electron microscopy data
MS Excel Spreadsheet - 10.8 KB -
MD5: ed4f5af879d30dc87d5feb6db6e4caeb
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Jan 27, 2025 -
Visualizing sub-organellar lipid distribution using correlative light and electron microscopy data
Adobe PDF - 72.6 KB -
MD5: 337e45a8408cb817d5659b71f7077499
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Jan 27, 2025 -
Visualizing sub-organellar lipid distribution using correlative light and electron microscopy data
Plain Text - 497 B -
MD5: 991a04d5714b12fb8fbd1f94410d1585
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Jan 27, 2025 -
Visualizing sub-organellar lipid distribution using correlative light and electron microscopy data
Gzip Archive - 278.2 GB -
MD5: 3fb407d228e8baa55172bc5c49ba6c00
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Gzip Archive - 1.7 MB -
MD5: 890a4751e870f896585cebad091b4633
Observations |
Gzip Archive - 1.9 KB -
MD5: dcd55ae6dd8515f7298d5e511932655f
Tlab initialization files |
Jan 27, 2025
Patel, Bansidhar; Sorrentino, Antonio; Vidakovic-Koch, Tanja, 2025, "Data-Driven Analysis of Electrochemical Impedance Spectroscopy Using the Loewner Framework", https://doi.org/10.17617/3.MMLZAK, Edmond, V2
This repository provides MATLAB scripts for extracting the Distribution of Relaxation Times (DRT) from Electrochemical Impedance Spectroscopy (EIS) data using a data-driven approach based on the Loewner framework (LF). The methodology is demonstrated through the analysis of synthetic EIS data from different variants of Randles equivalent circuit mo... |
Jan 27, 2025 -
Data-Driven Analysis of Electrochemical Impedance Spectroscopy Using the Loewner Framework
Plain Text - 1.5 KB -
MD5: ca86fa73fb9eca0854a20730b9d44362
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Jan 27, 2025
Mikolajewicz, Uwe; Kapsch, Marie-Luise; Schannwell, Clemens; Six, Katharina, 2025, "Data and Scripts for: "Deglaciation and abrupt events in a coupled comprehensive atmosphere–ocean–ice sheet–solid earth model"", https://doi.org/10.17617/3.MULBNQ, Edmond, V1
This dataset contains all necessary data as well as python scripts to reproduce all figures in the paper entitled: "Deglaciation and abrupt events in a coupled comprehensive atmosphere–ocean–ice sheet–solid earth mode (https://doi.org/10.5194/cp-2024-55)" |