HackHours 2025

During these stand-alone informal sessions we will get introduced to a variety of tools for ocean data access and analysis in Python and R. We will be using the NOAA Fisheries Openscapes JupyterHub and you will not need to install anything.

When: Fridays 11am Pacific/2pm Eastern. Register (open to all) Zoom registration

June/July Schedule (links to content on left)

  • June 6 - CNNs for gridded earth data (xarray + tensorflow): Part I
  • June 13 - CNNs for gridded earth data (xarray + tensorflow): Part II
  • June 20 - UNet CNNs for gap-filling gridded data
  • June 27 - Writing R code with the help of LLMs
  • July 4 HOLIDAY
  • July 11 - TBD
  • June 18 - ML cloud-classification using PACE spectral data
  • June 25 - Vision CNN models for fisheries applications: a simple workflow process for fine-tuning a foundational model

Spring Schedule (links to content on left)

  • Feb 7 - Q&A and Intro to the Ocean Data Science JupyterHub and Friday HackHours
  • Feb 14 - Accessing NASA Earth Observation data in Python (Eli Holmes)
  • Feb 21 - Accessing NASA Earth Observation data in R (Eli Holmes)
  • Feb 28 - Working with ERDDAP data in Python: CoastWatch tutorials (Sunny Hospital, Polarwatch; Daisy Shi, CoastWatch)
  • Mar 7 - Working with ERDDAP data in R: CoastWatch tutorials (Sunny Hospital, Polarwatch; Daisy Shi, CoastWatch)
  • Mar 14 - Using LLMs in R to improve data dashboards (Carl Boettiger, UC Berkeley)
  • Mar 21 - VirtualiZarr, Dask and Holoviz to explore NODD data (Rich Signell, Open Science Consulting)
  • Mar 28 - Working with data on OPeNDAP servers in Python & R
  • Apr 4 - xarray + GPU integration (Negin Sobhani, UCAR and Max Jones, Development Seed)
  • Apr 11 - Accessing CEFI data on OPeNDAP, AWS and Google (Chia-Wei Hsu, NOAA PSL)
  • Apr 18 - Creating a Cloud-Native dataset of streamflows and publishing to NODD
  • Apr 25 - Working with acoustic data in Python: echopype (Wu-Jung Lee, UW APL)
  • May 2 - Coiled demo – parallel processing for big data pipelines (Coiled team)
  • May 9 - PACE Hyperspectral Ocean Color Data Access and Visualization (light penetration depths in the ocean and other light attributes)
  • May 16 - PACE Hyperspectral Ocean Color Data Access and Visualization (phytoplankton species abundance)
  • May 22 (7am PT/10am ET) - EDMW 3-hour Workshop on working with PACE hyperspectral data Register here