24 datasets found

MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of...

MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of...

This zip archive contains files associated with the age of air simulations published in: Geosci. Model Dev., 11, 1–22, 2018 https://doi.org/10.5194/gmd-11-1-2018.

This zip archive contains files associated with the age of air simulations published in: Geosci. Model Dev., 11, 1–22, 2018 https://doi.org/10.5194/gmd-11-1-2018.

xsarslc is a python package that allow to compute SAR cross spectrum and advanced radar parameters from Sentinel-1 SLC products. It handles 3 modes of acquisitions IW , EW and...

UQTestFuns is an open-source Python3 library of test functions commonly used within the applied uncertainty quantification (UQ) community. Specifically, the package provides:...

UQTestFuns is an open-source Python3 library of test functions commonly used within the applied uncertainty quantification (UQ) community. Specifically, the package provides:...

SeisComP is a seismological software for data acquisition, processing, distribution and interactive analysis. The seismological software package has evolved within a decade from...

This repository holds the first release of TetraX. Documentation: www.tetrax.software Helpdesk: discussions.tetrax.software/ Source...

Publication data is queried and retrieved from the OpenAlex catalog of scholarly records, using python. A simple script is used, utilizing the OpenAlex API via the pyAlex...

Python module for the evaluation of lab experiments. The module implements functions to import meta-data of measurements, filters to search for subsets of them and routines to...

This collection contains the scripts and videos used to generate the figures and tables in the paper "TRex, a fast multi-animal tracking system with markerless identification,...

This publication contains software that can be used to pre-process data from the Globe at Night citizen science project, and then run an analysis to determine the rate of change...

Workflow (jupyter notebook) of integrating a 4D-STEM scanning precession electron diffraction (SPED) dataset by creating the mean of the diffraction patterns for each label...

Jupyterlab notebook containing the data processing workflow used for processing the corresponding data, described in the asociated publication.

Here we propose to measure the phonon density of states in nanocrystalline samples of YAG:Cr. Our parallel luminscence measurements have revealed dramatic changes in the phonon...

Migration tool to move data in parallel background sessions into an Invenio/Zenodo instance bypassing the upload interface, creating metadata and publishing the records.

This includes all the python code used to run the reference run and sensitivity test for the iMarsys9 course and final project.

We present SCOTER, an open-source Python programming package that is designed to relocate multiple seismic events by using direct P- and S-wave station correction terms. The...

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