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A fast line-by-line code for high-resolution infrared molecular spectra.
lang: Python
stars: 250
last activity:
Provides a series of convenience functions to fit integrated Species Distribution Models.
lang: R
stars: 20
last activity:
A cross-platform collection of software tools to support whole building energy modeling using EnergyPlus and advanced daylight analysis using Radiance.
lang: C++
stars: 166
last activity:
A series of command-line tools to make common data engineering tasks easier for researchers in climate and weather.
lang: Python
stars: 247
last activity:
A spatial, large-scale analytical model for simulating forest harvest and it's potential influence on other forest values (e.g., wildlife habitat).
lang: R
stars: 20
last activity:
An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.
lang: Python
stars: 4.1K
last activity:
A real-time visualization of the CO2 emissions from electricity consumption.
lang: Python
stars: 4.0K
last activity:
A citizen science project using mobile and static sensors to measure air quality with cell phones and low-cost technology.
lang: C++
stars: 124
last activity:
A Python library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats.
lang: Python
stars: 1.2K
last activity:
Data Analysis and Visualization in Python for Ecologists.
lang: Jupyter Notebook
stars: 172
last activity:
API to expose the BOAVIZTA reference data and methodologies to allow full life cycle / multi-criteria environmental impact assessments of software.
lang: Python
stars: 93
last activity:
An R package for automatic download and preprocessing of MODIS Land Products Time-Series.
lang: R
stars: 159
last activity:
A collection of tools in Python for reading, visualizing and performing calculations with weather data.
lang: Python
stars: 1.4K
last activity:
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
lang: Python
stars: 244
last activity:
Aims to providhttps://github.com/open-energy-transition/solver-benchmarke a unified standard for understanding, quantifying, and reducing carbon emissions from an organisation's technology landscape.
lang: HTML
stars: 23
last activity: