1 to 10 of 38,404 Results
Jul 7, 2025
Peinado, Angel, 2024, "Code for "Horizontal grid spacing convergence of aquaplanet experiments"", https://doi.org/10.17617/3.NUYNV9, Edmond, V2
This dataset provides the source code for the data analysis of "Horizontal grid spacing convergence of aquaplanet experiments" submitted to Journal of Advances in Modeling Earth Systems (JAMES) |
Comma Separated Values - 45.1 KB -
MD5: 6d4ffeac3655e36b9330f24b6ed31fcc
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Network Common Data Form - 104.8 KB -
MD5: 98ea4903f03efa47e20a1fd4c4fd7d01
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Python Source Code - 33.1 KB -
MD5: e143b302e7906bb88fbf562b967cde16
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Jupyter Notebook - 1.6 MB -
MD5: bdaa503d4546541f42275d17ec103263
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Jun 11, 2025
Dao, Ha, 2024, "Tool, raw dataset, and analysis scripts for Illegal Movie Streaming Services measurement", https://doi.org/10.17617/3.STVMDI, Edmond, V5
This collection contains the tool, raw dataset, and analysis scripts used to reproduce the analysis conducted in our study on illegal movie streaming services measurement. The findings are detailed in the paper "Unmasking the Shadows: A Cross-Country Study of Online Tracking in Illegal Movie Streaming Services," published in the 25th Privacy Enhanc... |
Jun 11, 2025 -
Tool, raw dataset, and analysis scripts for Illegal Movie Streaming Services measurement
Markdown Text - 3.0 KB -
MD5: 5011abf6bd7e6456330732dbec592daf
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Jun 10, 2025
Poul, Marvin, 2024, "Data for: Automated Generation of Structure Datasets for Machine Learning Potentials and Alloys", https://doi.org/10.17617/3.DYLLSS, Edmond, V5
DFT Training Data for fitting Moment Tensor Potentials for the system Mg/Al/Ca. See https://github.com/eisenforschung/mgalca-mtp-data for further notes and usage examples. |
Jun 10, 2025 -
Data for: Automated Generation of Structure Datasets for Machine Learning Potentials and Alloys
Gzip Archive - 3.5 GB -
MD5: f2bf5dfa565e644ef06652996e58261a
pyiron jobs for training data and potential fits. |
Jun 10, 2025 -
Data for: Automated Generation of Structure Datasets for Machine Learning Potentials and Alloys
Unknown - 82.4 MB -
MD5: ae736c82ac45cdf01c0db04210292aee
MTP potential validated in the paper |