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A Gentle Introduction to GDAL Part 8 - Reading Scientific Data Formats
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medium.com/@robsimmon/a-gentle <-- shared technical article / tutorial
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“Among its many well-known capabilities, GDAL has a hidden superpower — the ability to read scientific data formats like Hierarchical Data Format (HDF), Network Common Data Form (NetCDF), and Gridded Binary (GRIB). Many essential climate and satellite datasets created by the likes of NASA, NOAA, the World Meteorological Organization (WMO), and the European Space Agency (ESA) are stored and distributed in one of these formats. They contain records of everything from global temperatures to land cover to ocean salinity. Unfortunately, many people who’d be interested in using these data don’t even know they exist…”
#GIS #spatial #mapping #remotesensing #earth #global #gdal #opensource #opendata #tutorial #learning #onlinelearning #introduction #scientificdata #HDF #NetCDF #GRIB #NASA #NOAA #WMO #ESA

"Helicopter science" and datasets: Sarah Bratt and colleagues studied the use of Global South (GS) data by Global North researchers (in 3200 Scientific Data papers) , using OpenAlex and an LLM, ReFinEd, to identify entities in Geonames.

The % of GS authors on GS data papers has risen, but on papers using GS data only 35% have a GS researcher as 1st or last author.

p.s. Saying "ding" instead of "next slide" was new to me!