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After looking for data, e.g. EMIT (https://earth.jpl.nasa.gov/emit/data/data-portal/coverage-and-forecasts/), I can click on an image footprint and find a link to the L1 or L2 data on EarthData archived data or use the Info tool to click on an image footprint and find metadata I can use to open an image granule in a Jupyter Notebook, but not a more way to open the discovered data in a Jupyter Notebook or an easy way to transfer the necessary metadata into notebook friendly code.
Describe the feature request
When I have a feature(s) in MMGIS that I've selected, an option for "Open in a Jupyter Notebook" or "Code for Notebooks" appears that I can click on to either a) open the selection in a Jupyter Notebook or b) open the whole 2D map in a Jupyter Notebook with the selection or c) provide a code snippet that I could paste into a Jupyter Notebook to access the selected dataset.
Code snippet example:
import xarray as xr
auth = earthaccess.login()
#The search result from MMGIS in Notebook form
results = earthaccess.search_data(
doi="10.3334/ORNLDAAC/2056"
bounding_box=(-100,20,-90,40_.
temporal=(2010,2020)
)
ds = xr.open_mfdataset(earthaccess.open(results)```
The text was updated successfully, but these errors were encountered:
Checked for duplicates
Yes - I've already checked
Alternatives considered
Yes - and alternatives don't suffice
Related problems
After looking for data, e.g. EMIT (https://earth.jpl.nasa.gov/emit/data/data-portal/coverage-and-forecasts/), I can click on an image footprint and find a link to the L1 or L2 data on EarthData archived data or use the Info tool to click on an image footprint and find metadata I can use to open an image granule in a Jupyter Notebook, but not a more way to open the discovered data in a Jupyter Notebook or an easy way to transfer the necessary metadata into notebook friendly code.
Describe the feature request
When I have a feature(s) in MMGIS that I've selected, an option for "Open in a Jupyter Notebook" or "Code for Notebooks" appears that I can click on to either a) open the selection in a Jupyter Notebook or b) open the whole 2D map in a Jupyter Notebook with the selection or c) provide a code snippet that I could paste into a Jupyter Notebook to access the selected dataset.
Code snippet example:
The text was updated successfully, but these errors were encountered: