气象&海洋数据分析与可视化
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Updated
May 7, 2023 - Jupyter Notebook
气象&海洋数据分析与可视化
Gibbs-SeaWater (GSW) Oceanographic Toolbox in Fortran
A Python framework for structuring, processing, packaging and distributing FAIR scientific image datasets
A PyTorch implementation of the Multi-Mode CNN to reconstruct Chlorophyll-a time series in the global ocean from oceanic and atmospheric physical drivers
Leveraging Bayesian Neural Networks for multimodal AUV data fusion, enabling precise and uncertainty-aware mapping of underwater environments.
A Python library for creating, validating and manipulating iFDO (image FAIR Digital Object) metadata files
3D visualization of a penguin dive path off the coast of Argentina
A library for reading, converting, and plotting data from different oceanographic sensor formats.
Course project report and code for Geostatistics and Seabed Characterization
First regional review study on the present scenario of Ocean Warming (OW) and Ocean Acidification (OA) in the coastal and marine waters of the Bay of Bengal, Bangladesh.
An open source underwater survey system that collects depth, position, and environmental data from a moving ROV and converts those measurements into bathymetric maps.
Presentaciones sobre mate, ciencia e ingeniería, y "afines".
Production-grade autonomous ETL pipeline for Gulf of Mexico TABS + NDBC buoy data: idempotent CF-1.8 NetCDF archives, SHA-256 fixity, Prometheus metrics, Zenodo DOI minting
Open-source ocean drift simulation engine — plastic tracking, ensemble forecasting, validated against NOAA drifter buoys.
Image-assisted reporting QA — species suggestions, photo quality checks, review triage (public-data-safe).
Sportfish reporting QA workflow demo — data intake, validation, structured export (public-data-safe).
Shark movement story map — temporal playback, environmental context, science communication layer.
React Native Expo ocean learning app with rich source-aware ocean study content.
ISO 19115-2, CF-1.8, and ACDD-1.3 metadata linter with Schematron policy rules, YAML DSL, FAIR scoring, and FastAPI web UI
Seabird CTD processing pipeline: raw .cnv to CF-1.8 NetCDF with TEOS-10 derived variables, QC (loop edit, despike, bin-average), and IOOS compliance validation
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