256 datasets found

Set of inputs to perform the calculations reported in the paper. The i-pi input enables to perform molecular dynamics / metadynamics / REMD / PIMD simulations, with adequate...

This repository contains the scripts that were used to run the calculations that present a new biasing technique, the Adaptive Topography of Landscape for Accelerated Sampling...

Zeolites are nanoporous alumino-silicate frameworks widely used as catalysts and adsorbents. Even though millions of siliceous networks can be generated by computer-aided...

This is a gridded version of the AQ-Bench variables. The AQ-Bench dataset and its documentation is available via Betancourt et al. (2021): "AQ-Bench: a benchmark dataset for...

This repository contains measurement data that are presented in the paper "Modified Dynamic Time Warping with a Reference Path for Alignment of Repeated Drive-Tests" Submitted...

Data accompanying the publication "Assessment of a subgrid-scale model for convection-dominated mass transfer for the initial transient rise of a bubble".

This is a gridded version of the AQ-Bench variables. The AQ-Bench dataset and its documentation is available via Betancourt et al. (2021): "AQ-Bench: a benchmark dataset for...

The HDF5 file was created using the Python package nanite. It contains 1132 raw atomic force microscopy (AFM) force-indentation curves of zebrafish spinal cord sections, the...

The HDF5 file was created using the Python package nanite. It contains 1132 raw atomic force microscopy (AFM) force-indentation curves of zebrafish spinal cord sections, the...

This talk summarizes the experiences made with teaching Machine Learning within compact events that stretch over several days to a week maximum. Both speakers explain pitfalls...

Output from electronic structure code (Quantum Espresso) that serves as training data for the machine-learning workflow of the related scientific publication...

Porous materials are frequently used as e.g. electrodes or porous transport layers in various types of electrolyzers. A better understanding of the bubble dynamics on porous...

TEAM, the Transformer Earthquake Alerting Model is a deep learning model for real time estimation of peak ground acceleration (TEAM), earthquake magnitude and earthquake...

The data publication contains a dataset for fast assessment of earthquakes and early warning based on seismic waveforms. The dataset encompasses Italy and surrounding refions....

The data publication contains a dataset for fast assessment of earthquakes based on seismic waveforms. The dataset encompasses Northern Chile. Due to the large scale of the...

Here, we present model files and example scripts for the Neural network-based model of Electron density in the Topside ionosphere (NET). The model is based on radio occultation...