minerals 开源项目推荐（79 个）

RichardScottOZ /mineral-exploration-machine-learning

矿产勘探和机器学习资源列表，通常包含有用的代码和示例。

food-nutrients /food-nutrients

🍴 Food Nutrients

nodef /ifct2017

Detailed nutritional values for 542 key foods in India, based on direct measurements across six regions.

food-nutrients /nutri-score

Nutri-Score Calculator - The goal of the project is to provide simple library that can calculate the Nutri-Score.

SamiranDas1311 /Geological-Mining-Seismic-Dataset-Collection-GeMiSe-

GeMiSe- AN INTEGRATED PLATFORM FOR GEOLOGICAL, MININING, AND SEISMIC DATASETS FOR OPEN RESEARCH

hubblo-org /cabestan

Gather and normalize ICT inventory data from multiple sources, to enable automation of ICT carbon and environmental impacts (LCA-inspired) assessments.

Edinburgh-Chemistry-Teaching /MD_ResearchTechniques

Materials for the "Introduction to Computational Chemistry Techniques" course at the University of Edinburgh

TheSkyFather /Minerals

This mod allows you to immerse yourself in the world of secret and unexplored minerals and mechanisms associated with them. Good luck with the pass.

ifct2017 /ifct2017.github.io

Website for Indian Food Composition tables (IFCT 2017), which provides nutritional values for 528 key foods.

jedick /CHNOSZ

Thermodynamic calculations and diagrams for geochemistry

MosGeo /Madini

Elements to Minerals Inversion

Ignimbrit /mincountr

Digital point-counting of mineral thin section images

weber1158 /eds-classification

Algorithms for SEM-EDS mineral dust classification

fros1y /mindatGIS

Export Mindat Mineral Information to GeoPackages for GIS

aapopei /PETRA

An accessible, webcam-based gesture control interface for exploring 3D mineral collections, developed in TouchDesigner

bhnn /libs-pewpew

A M.Sc project for classifying mineral spectra taken by handheld LIBS measurements using Python and the Keras framework.

Ferynix /syndat.org

A work in progress pairing to Mindat.org, but for material science / synthesis in-general

jpfielding /claude.pnge

claude plugins for pnge research for my daughter at WVU 😘👸🏼

nicholasmr /icepaya

Grain and bubble morphometry of ice thin sections

abuseki /georefdatar

Geosciences reference data sets for R