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41 changes: 14 additions & 27 deletions _quarto.yml
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Expand Up @@ -117,41 +117,28 @@ website:
href: external/xarray.ipynb
- text: "Sentinel-6 OPeNDAP & Gridding"
href: external/sentinel-6_opendap_access_gridding.ipynb
# - section: "Examples by Data Provider"
# href: examples/index.qmd
# contents:
- text: "Direct Access & Harmony Workflow"
href: examples/Transform-workflow.ipynb
- section: "GES DISC"
contents:
- text: "MERRA2 with Kerchunk"
href: examples/GESDISC/GESDISC_MERRA2_tavg1_2d_flx_Nx__Kerchunk.ipynb
- section: "LP DAAC"
contents:
- text: "HLS Point Buffer Search & Access"
href: examples/LPDAAC/Find_and_Access_HLS_PointBuffer.ipynb
- text: "ECOSTRESS with Kerchunk"
href: examples/LPDAAC/LPDAAC_ECOSTRESS_LSTE__Kerchunk.ipynb
href: tutorials/Transform-workflow.ipynb
- text: "MERRA2 with Kerchunk"
href: tutorials/GESDISC_MERRA2_tavg1_2d_flx_Nx__Kerchunk.ipynb
- text: "HLS Point Buffer Search & Access"
href: tutorials/Find_and_Access_HLS_PointBuffer.ipynb
- text: "ECOSTRESS with Kerchunk"
href: tutorials/LPDAAC_ECOSTRESS_LSTE__Kerchunk.ipynb
- section: "NSIDC"
contents:
- text: "ICESat-2 OnPrem vs Cloud"
href: examples/NSIDC/ICESat2-CMR-OnPrem-vs-Cloud.ipynb
- text: "ICESat-2 CMR & AWS S3"
href: examples/NSIDC/ICESat2-CMR-AWS-S3.ipynb
- section: "ORNL DAAC"
contents:
- text: "DAYMET Direct S3 Access"
href: examples/ORNL/Data_Access__Direct_S3_Access__ORNL_DAYMET.ipynb
- text: "DAYMET with Kerchunk"
href: examples/ORNL/ORNL_DAYMET__Kerchunk.ipynb
- section: "PO.DAAC"
contents:
- text: "ECCO SSH with Kerchunk"
href: examples/PODAAC/PODAAC_ECCO_SSH__Kerchunk.ipynb
- section: "USGS"
contents:
- text: "Landsat C2 Search & Access"
href: examples/USGS_Landsat/Landsat_C2_Search_Access.ipynb
href: tutorials/Data_Access__Direct_S3_Access__ORNL_DAYMET.ipynb
- text: "DAYMET with Kerchunk"
href: tutorials/ORNL_DAYMET__Kerchunk.ipynb
- text: "ECCO SSH with Kerchunk"
href: tutorials/PODAAC_ECCO_SSH__Kerchunk.ipynb
- text: "Landsat C2 Search & Access"
href: tutorials/Landsat_C2_Search_Access.ipynb

# ============================================================
# SECTION 4: HOW-TO GUIDES (goal-oriented, assumes context)
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6 changes: 0 additions & 6 deletions examples/data/gulf.json

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7 changes: 0 additions & 7 deletions examples/index.qmd

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Expand Up @@ -25,7 +25,7 @@
"\n",
"Using [NASA Worldview](https://go.nasa.gov/3nhCwZi), we can first explore SST during a tropical storm event; in this case, we can overlay L2 and L4 SST variables against true color imagery to observe Hurricane Ida in August 2021. Although this is a small sample set, this use case could be expanded to explore how SST responds during the Atlantic hurricane over the next several months. The same data that we are requesting below using direct s3 access and via Harmony-py can also be requested using [NASA Earthdata Search](https://search.earthdata.nasa.gov/search/granules?p=C1940473819-POCLOUD&pg[0][v]=f&pg[0][qt]=2021-08-20T00%3A00%3A00.000Z%2C2021-08-20T23%3A59%3A59.999Z&pg[0][gsk]=-start_date&q=C1940473819-POCLOUD&sb[0]=-97.77667%2C21.20806%2C-83.05197%2C30.16605&tl=1636520265!3!!&m=30.69140625!-97.875!3!1!0!0%2C2) \n",
"\n",
"![Hurrican Ida snapshot - Worldview](img/Worldview-snapshot-Ida.jpeg)\n",
"![Hurrican Ida snapshot - Worldview](images/Worldview-snapshot-Ida.jpeg)\n",
"\n",
"We will access a single netCDF file from inside the AWS cloud (us-west-2 region, specifically) and load it into Python as an `xarray` `dataset`. This approach leverages S3 native protocols for efficient access to the data.\n",
"\n",
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