First VR project: Elevator to the centre of the earth. Interactive game for exploring different layers and processes throughout the Earth
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Updated
May 29, 2022 - C#
First VR project: Elevator to the centre of the earth. Interactive game for exploring different layers and processes throughout the Earth
Notebook untuk mengakses dataset pada thingspeak Jerukagung Meteorologi
Repo for public use for science discovery using NASA AVIRIS-NG SHIFT data
⛔️ Depreceated: Outdated version of psyplot
Gets a specified number of records from the ESOVDB and adds them as items in a Zotero library.
This repository is for storing the code I have written for an internship started during the summer of 2021 at Université du Québec à Montréal (UQÀM) under the direction of professor Alejandro Di Luca. The internship concerns the evaluation of the Canadian Regional Climate Model 6 - Global Environmental Multiscale 5 (CRCM6-GEM5)'s energy balance.
A Jupyter notebook that demonstrates a Python™ implementation of NASA's Airborne Topographic Mapper (ATM) centroid tracker and compares it with results from the equivalent MATLAB® function.
DrivenData flood prediction model
ScarFace - seacarb calculations with R Shiny user interface
Processing of flow data with Python scripts
Repo for NASA Surface Biology and Geology SHIFT campaign backend
Deep Learning solution for multi-layer seismic data segmentation using Meta's SAM, trained on a dataset of 9,000 volumes for improved subsurface mapping.
Python 3 tools for distributed analysis and visualisation of big climate data on HPC systems.
Intermediate Research Software Development Skills In Python for Earth Sciences
Content of EnvEast & Cefas Python course 2018
ESBMTK is python library which aims to simplify typical box modeling projects the in Earth-Sciences.
Concise GPU and CPU iterative Stokes solver for viscous glacier flow.
Lecture notes and notebooks for statistical data analysis and machine learning in Earth science
Paper: Full vector inversion of magnetic microscopy images using Euler deconvolution as a priori information
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