@earthlab

Earth Lab

Capitalizing on the data deluge to accelerate science

Pinned repositories

  1. earthlab.github.io

    A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team

    HTML 10 10

  2. 14ers-git

    This is a demo repo to use for the 14ers activity

    Shell 1 15

  3. dockerfiles

    Dockerized R and Python environments for Earth Science in the cloud

    Dockerfile 6 3

  • A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team

    HTML 10 10 Updated Aug 20, 2018
  • Infrastructure and operations for the Earth Lab JupyterHub

    Python 2 1 Updated Aug 16, 2018
  • Dockerized R and Python environments for Earth Science in the cloud

    Dockerfile 6 3 BSD-3-Clause Updated Aug 14, 2018
  • a demo repo to test the ea envt in binder

    Dockerfile 2 3 Updated Aug 8, 2018
  • Linking field-based and airborne data

    R 3 1 Updated Aug 3, 2018
  • A course that teaches students how to work with different types of data using the R programming language.

    1 Updated Aug 2, 2018
  • Experimenting with authoring workflows

    Jupyter Notebook 1 1 Updated Jul 25, 2018
  • A package built to support python teaching

    Python 2 3 Updated Jul 19, 2018
  • Earth Lab Data Meetup group page

    5 455 Updated Jul 13, 2018
  • Analytics Hub team operations repository

    Updated Jul 11, 2018
  • Autograding package for EA and other classes

    Python 1 MIT Updated Jul 2, 2018
  • An R package that allows you to efficiently access, plot and analyze survey data via the Qualtrics API.

    R 3 1 MIT Updated May 30, 2018
  • python test setup repo / website

    HTML 1 Updated Feb 22, 2018
  • This is the repo where we store data and code for the git / documentation training.

    R 1 2 Updated Feb 2, 2018
  • Fetch Landsat fire rasters and stick them in S3

    R 1 1 Updated Dec 5, 2017
  • scripts for downloading and processing DAYMET climate data

    Shell Updated Oct 12, 2017
  • Tutorials for spatial data processing and analysis in R and Python

    Jupyter Notebook 17 13 Updated Sep 29, 2017
  • This is a demo repo to use for the 14ers activity

    Shell 1 15 MIT Updated Sep 22, 2017
  • Training materials for responsible use of the Earth Lab PetaLibrary space

    Updated Feb 22, 2017
  • Training materials: Docker for scientific computing

    R 4 Updated Feb 11, 2017
  • Development of active learning focused data intensive university classroom materials.

    CSS 2 MIT Updated Jan 17, 2017
  • Updated Sep 2, 2016
  • Programmatic access to fire data from GeoMAC via Python.

    Python 1 Updated Jul 26, 2016
  • Programmatic access to OpenTopography data via Python

    Python 1 3 Updated Jun 29, 2016
  • Demonstration for NOAA data partnership

    R 1 Updated May 4, 2016