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Update tutorials #17

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6fdfaed
update env and get_cmr_urls tutorials
Mikejmnez Oct 9, 2025
c1b9f6c
install only official releases of pydap
Mikejmnez Oct 9, 2025
6d9fc3c
update tutorials
Mikejmnez Oct 10, 2025
d396412
use from source
Mikejmnez Oct 10, 2025
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100 changes: 28 additions & 72 deletions binder/CMR_queries.ipynb
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Expand Up @@ -5,110 +5,66 @@
"id": "d0e31245-c554-4985-af28-705abe764ece",
"metadata": {},
"source": [
"<span style='color:#0066cc'> <span style='font-family:serif'> <font size=\"13\"> **Using CMR to Find OPeNDAP URLs (Earthdata specific)**<span style='color:#0066cc'>\n",
"# Discovering OPeNDAP URLs from NASA's Earthdata\n",
"\n",
"<font size=\"3\"><span style='color:Black'> The Common Metadata Repository (CMR) is a high-performance, high-quality, continuously evolving metadata system that catalogs Earth Science data and associated service metadata records. These metadata records are registered, modified, discovered, and accessed through programmatic interfaces leveraging standard protocols and APIs.\n",
"This tutorial demonstrates how to find OPeNDAP URLs from the [Common Metadata Repository](https://cmr.earthdata.nasa.gov/search) (CMR). The CMR is NASA's Earthdata API to query datasets available through many download and subset services, including OPeNDAP. The [CMR API](https://cmr.earthdata.nasa.gov/search/site/docs/search/api.html) is complex and broad in scope, and with `pydap.client.get_cmr_urls` users can query and retrieve OPeNDAP urls.\n",
"\n",
"<font size=\"3\"><span style='color:Black'> For more information about the CMR API go to: https://cmr.earthdata.nasa.gov/search/site/docs/search/api.html\n"
"**Requirements to run this notebook**\n",
"1. Have an Earth Data Login account\n",
"2. Knowledge of the Collection Concept ID (CCID), or Digital Object Identifier (DOI) of the collection of interest. \n",
"\n",
"**Objectives**\n",
" \n",
"Use [PyDAP](https://pydap.github.io/pydap/) to **discover all opendap urls in two simple case studies**\n",
"\n",
"1. Discover all possible OPeNDAP urls associated with a specific Collection Concept ID (and DOI).\n",
"2. Discover all possible OPeNDAP urls from a collection, that **match a time range and spatial bounding box of interest**. These parameters, and others, are widely used by the CMR (and Earthdata search) to filter the number of possible returns from querying the CMR, therefore narrowing the search.\n",
"\n",
"\n",
"`Author`: Miguel Jimenez-Urias, '25"
]
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"id": "adc54031-dc9f-4858-83be-a84c6ee4eef0",
"metadata": {},
"outputs": [],
"source": [
"from pydap.net import create_session\n",
"from pydap.client import get_cmr_urls"
"from pydap.client import get_cmr_urls\n",
"import pydap\n",
"import datetime as dt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"id": "f764fa2b-acc4-43ba-8762-b606dc4a96e4",
"metadata": {},
"outputs": [],
"source": [
"ecostress_ccid = \"C2076114664-LPCLOUD\""
"ecostress_ccid = \"C2076114664-LPCLOUD\"\n",
"time_range = [dt.datetime(2025, 3, 1), dt.datetime(2025, 3, 31)]\n",
"return_limit = 500 # How many urls to return. Default is 50"
]
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"id": "c4306a74-3848-42ec-9e57-e396f9f47b80",
"metadata": {},
"outputs": [],
"source": [
"urls = get_cmr_urls(ccid=ecostress_ccid, bounding_box=list((-130.8, 41, -124, 45)))"
"urls = get_cmr_urls(ccid=ecostress_ccid, bounding_box=list((-130.8, 41, -124, 45)), time_range=time_range, limit=return_limit)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"id": "68aa026d-51d5-4bab-a642-2a5c04258712",
"metadata": {},
"outputs": [
{
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]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"urls"
]
Expand Down Expand Up @@ -138,7 +94,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.13"
"version": "3.12.11"
}
},
"nbformat": 4,
Expand Down
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