A list of books, events, articles, journals, courses, etc related to Environmental Data Science.

Fast and efficient access to MODIS, VIIRS and GPM Earth Observation data with R

An R package to launch shinyrems; an online application that allows a user to access, download, clean, plot and calculate simple statistics using data from the B.C. government Environmental Monitoring System database.

R interface to the CDC National Public Health Tracking Network API

Lectures, Data, and Exercises for Environmental Data Science at UCSB

Cold pool area and temperature data products for the eastern Bering Sea from NOAA/AFSC/RACE Groundfish Assessment Program's summer trawl surveys

The 2021 CARGO (Consumer Awareness of Real GHG Output) Hackathon (October 23-24, 2021) aims to create solutions to the problem of embedded greenhouse gas emissions created by the transportation sector, which accounts for the largest share of GHG emissions in the USA. We built a command line tool for calculating carbon emissions for domestic carg…

R Package to process data from trawl-mounted CTD

Environmental issues reports from Argentina

IBM Environmental Intelligence

EDAM (Environmental Data Acquisition Module) is a template framework that facilitates timeseries data acquisition and integration

A tool for capuring snapshots of public data sources and archiving them on Zenodo for programmatic use.

Dataset packages for environmental data analysis using R with tidy approach

The website for the modular course 'Radical Environmental Data'.

MariDataHarvest is a tool for scrapping and harvesting Automatic Identification System (AIS) data provided by marinecadastre then appending it with the weather and environment conditions provided by CMEMS and RDA at each geographical and UTC timestamp point.

An environmental data synthesis pipeline for the Biodiversity Exploratories and other research consortia

Data 88 - Environmental Data Analysis

How I helped a team scale their categorization using design thinking, cross-functional collaboration, and applied research.

PHS-GDC Prototype

Classifies the presence of key exogenous variables in projects subject to federal NEPA (National Environmental Policy Act) review using NEPA environmental permitting reports (EISs) as input, and LangChain, Pinecone, and OpenAI API (GPT-4) to parse the reports efficiently with low costs ($0.40/report, on average) and high (>85%) correctness.