How to use earthaccess to retrieve concept-ids for data sets

Problem

How can I use earthaccess to find the concept-id for a list of data sets?

Solution

import earthaccess

results = earthaccess.search_datasets(
    keyword = 'icesat-2',
    cloud_hosted = True
)

for r in results[:10]:
    print(', '.join([f.summary()[key] for key in ["short-name", "version", "concept-id"]]))

ATL03 , 007 , C3326974349-NSIDC_CPRD
ATL06 , 007 , C3564876127-NSIDC_CPRD
ATL10 , 007 , C3565574246-NSIDC_CPRD
ATL24 , 001 , C3433822507-NSIDC_CPRD
ATL07 , 007 , C3564876395-NSIDC_CPRD
ATL12 , 007 , C3566214012-NSIDC_CPRD
ATL11 , 007 , C3816968337-NSIDC_CPRD
ATL13QL , 007 , C3566183861-NSIDC_CPRD
ATL09 , 007 , C3578753623-NSIDC_CPRD
ATL10QL , 007 , C3566183646-NSIDC_CPRD

To write the output to a csv file file for easy sharing

with open("list_of_concept_ids.csv", "w") as f:
    f.write("short_name,version,concept_id")  # Add header
    for item in results:
        f.write(', '.join([item.summary()[key] for key in ["short-name","version","concept-id"]])+"\n")

Discussion

Concept-ids are unique identifiers for collections (data sets) and granules (files) in NASA’s Common Metadata Repository (CMR). Collection concept-ids begin with the letter “C”, as seen in the list above. Granule concept-ids begin with the letter “G”. Concept-ids also indicate the data provider that stewards the data set. Concept-ids can be used in earthaccess.search_data().

• NSIDC_CPRD = National Snow and Ice Data Center DAAC
• LARC_CLOUD = Atmospheric Science Data Center DAAC
• ORNL_CLOUD = Oak Ridge National Laboratory DAAC
• LPCLOUD = Land Processes DAAC at USGS
• OB_CLOUD = Ocean Biology DAAC
• POCLOUD = Physical Oceanography DAAC at JPL
• ASF = Alaska Satellite Facility DAAC
• GHRC_DAAC = Global Hydrometeorology Resource Center DAAC
• GES_DISC = Goddard Earth Sciences Data and Information Services Center
• LAADS = Level-1 and Atmosphere Archive and Distribution System DAAC
• CDDIS = Crustal Dynamics Data Information System DAAC