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Python-based statistical analysis software for assessing analytical precision of phytoplankton pigment High Performance Liquid Chromatography (HPLC) measurements. The software processes quality-controlled laboratory data from the NASA GSFC HPLC facility (2012-2022), performs multivariate statistical analyses including regression modeling and LOESS smoothing, calculates precision metrics (coefficient of variation) for 25 phytoplankton pigments, and generates publication-quality figures and data tables. Developed as Scientific Research Demonstration Software (SRDS) to support the peer-reviewed manuscript "Precision of Phytoplankton Pigment Analysis by High Performance Liquid Chromatography: An Assessment of the Global Ocean Color Validation Dataset Analyzed by NASA." The software enables reproducibility of all published results and provides tools for ongoing quality assurance of NASA's ocean color validation dataset.

Public repo for hosting simulation and observation data sets used by CCMC CAMEL framework

Repository for the GCE model.

2024 SWOT Early Career Researcher Workshop using Binder

Notebooks used as part of the OSS public demo on oss.smce.nasa.gov

test fork

OUTDATED: See EIS Freshwater Case Studies repository

Source code for software developed by the SWOT community, such as data processing tools, data visualization tools, or statistical analysis tools.