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fix binder requirements
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.binder/requirements.txt

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@@ -12,3 +12,5 @@ geojson_pydantic
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cogeo-mosaic
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ipyleaflet
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matplotlib

docs/examples/notebooks/Working_with_CloudOptimizedGeoTIFF.ipynb

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@@ -10,6 +10,7 @@
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"\n",
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"For this demo we will use the new `Ozone Monitoring Instrument (OMI) / Aura NO2 Tropospheric Column Density` dataset hosted on AWS PDS: https://registry.opendata.aws/omi-no2-nasa/\n",
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"\n",
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"Requirement: AWS credentials\n",
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"\n",
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"#### Requirements\n",
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"- AWS credentials\n",
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"## List available files on AWS S3"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# To Be able to run this notebook you'll need to have AWS credential available in the environment\n",
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"\n",
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"# import os\n",
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"# os.environ[\"AWS_ACCESS_KEY_ID\"] = \"YOUR AWS ACCESS ID HERE\"\n",
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"# os.environ[\"AWS_SECRET_ACCESS_KEY\"] = \"YOUR AWS ACCESS KEY HERE\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,

docs/examples/notebooks/Working_with_MosaicJSON.ipynb

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"### 1. Fetch and parse page"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# To Be able to run this notebook you'll need to have AWS credential available in the environment\n",
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"\n",
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"# import os\n",
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"# os.environ[\"AWS_ACCESS_KEY_ID\"] = \"YOUR AWS ACCESS ID HERE\"\n",
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"# os.environ[\"AWS_SECRET_ACCESS_KEY\"] = \"YOUR AWS ACCESS KEY HERE\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,

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