A new #Python application programming interface (API) library simplifies NASA Earth science data discovery and access with a few lines of code. ➡️Learn how you can incorporate earthaccess into your data workflow: go.nasa.gov/494NoOY

NASAEarthdata

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Interested in #methane and mapping methane plumes? Join members of @NASAJPL's #EMIT science team and NASA's #LPDAAC for a 2-hour EMIT data tutorials workshop on March 14, 2024, at 12:00 PT to learn how to work with the data! #Python #GHG

Sign-up here: go.nasa.gov/3HQ5Mj5

NASAEarthdata

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In a new #Jupyter Notebook developed at NASA's #PODAAC, learn the basics of #xarray and how to use the open-source #Python library, Dask, for parallel computing (data access and data analysis) in the cloud. #CloudComputing

➡️Check it out at: go.nasa.gov/3UFQa9m

NASAEarthdata

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What if you could search, download, and stream NASA Earth science data using a few lines of code? The earthaccess #Python code library makes this possible by providing easy access to NASA Earth data regardless of the data storage location.

Learn more: https://t.co/dsr8h2uEcv https://t.co/ZpaqYJ5ypY

NASAEarthdata

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RT @ECMWFCode4Earth: Help to produce a high-resolution model of Earth surface deformation and gravity changes associated with continental water redistribution to allow natural hazard monitoring. 👉 https://t.co/EIuqnbahge
@Unibonn #CESOC
#Geophysics #Geodesy #ComputerScience #python #QGIS #GMT 🌍

ECMWF

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RT @ECMWFCode4Earth: Interested in #urban #heat #emissions ? Why not work on developing an evaluation tool to tackle outputs of urban energy balance models?
Learn more 👉https://t.co/iif2yLqVbA
#DataVisualization #spatial #data #processing #python
#JointChallenge with @UniofReading

ECMWF

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Access, subset, transform, and visualize snow and ice data from NASA's National Snow and Ice Data Center DAAC using #NSIDCDAAC's #Python-based #Jupyter notebooks that provide tutorials for working with many of their data products.

➡️Explore tutorials: https://t.co/fhPUq8vt72 https://t.co/435VaNf97K

NASAEarthdata

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New #Python #Jupyter notebook tutorials show you how to work with @NASAJPL #EMIT #methane plume data. #LPDAAC

*⃣EMIT Resources GitHub Repository https://t.co/WOfbPXmeu0

*⃣ EMIT Methane Plume Workshop Recording https://t.co/iC0LJV13Rb https://t.co/SWKzPCBNtP

NASAEarthdata

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Learn how to search, access, and work with NASA/CNES Surface Water and Ocean Topography (SWOT) data via GUI, programmatically, or command line using NASA #PODAAC's SWOT data recipes, tutorials, and resources. #CloudComputing #Python #EarthdataSearch

➡️https://t.co/agf44lIVO7 https://t.co/FnTffuXz2B

NASAEarthdata

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Find #Jupyter Notebook tutorials that show you use NASA's GPM IMERG precipitation datasets, MERRA-2 datasets and services and tools from NASA's Goddard Earth Sciences Data and Information Services Center (#GESDISC) and more. https://t.co/GGiwuy8PjG
#Python #CloudComputing https://t.co/YBR8y5n10H

NASAEarthdata

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NASA's Terrestrial Ecology Subsetting & Visualization Services (TESViS) provide user-defined subsets of selected data products at a scale useful for field researchers in easy-to-use formats. #MODIS #VIIRS #ICESat #GEDI #Python

Explore TESViS tutorials: https://t.co/4GjRwc0xQg https://t.co/2JeNaXfahq

NASAEarthdata

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Learn how to discover, access, visualize, and mosaic @NASAJPL's OPERA near-global Dynamic Surface Water Extent (DSWx) product suite with data tutorials from NASA's #PODAAC. https://t.co/EokkfbJ17d Image: OPERA Project/Planet Labs, Inc.

#Jupyter #Python #GIS #CloudComputing https://t.co/6T6pbOQ5hC

NASAEarthdata

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Learn how to easily and quickly access the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) spacecraft’s high-resolution, hyperspectral data through new #Python-focused #Jupyter notebook tutorials: https://t.co/6BmaxPz0qD Image Credit: NASA SVS https://t.co/SBRqDSxh9m

NASAEarthdata

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Are you looking to migrate your data workflows to the cloud? The NASA Earthdata Cloud Cookbook provides tips on how to set up your cloud environment, cheat sheets, tutorials, and more! #R #Python #Jupyter #OpenScience #CloudComputing

Check it out: https://t.co/CQG0xADflz https://t.co/E9zahPIYpc

NASAEarthdata

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