Geotail Predicted Attitude

Fetch the full dataset (template)

import cloudcatalog
dataset_id = 'GE_AT_PRE'
start = '1992-07-28T00:00:00.000Z'
stop =   '2022-12-11T23:50:00.000Z'
fr=cloudcatalog.CloudCatalog('s3://gov-nasa-hdrl-data1/')
filelist = fr.request_cloud_catalog(dataset_id, start_date=start, stop_date=stop)

#example usage:
fr.stream_uri(filelist, lambda s3_uri, start, stop, filesize: MYCODE(s3_uri, start, stop, filesize))
    

Yearly index files

• GE_AT_PRE_1992.csv   https s3
• GE_AT_PRE_1993.csv   https s3
• GE_AT_PRE_1994.csv   https s3
• GE_AT_PRE_1995.csv   https s3
• GE_AT_PRE_1996.csv   https s3
• GE_AT_PRE_1997.csv   https s3
• GE_AT_PRE_1998.csv   https s3
• GE_AT_PRE_1999.csv   https s3
• GE_AT_PRE_2000.csv   https s3
• GE_AT_PRE_2001.csv   https s3
• GE_AT_PRE_2002.csv   https s3
• GE_AT_PRE_2003.csv   https s3
• GE_AT_PRE_2004.csv   https s3
• GE_AT_PRE_2005.csv   https s3
• GE_AT_PRE_2006.csv   https s3
• GE_AT_PRE_2007.csv   https s3
• GE_AT_PRE_2008.csv   https s3
• GE_AT_PRE_2009.csv   https s3
• GE_AT_PRE_2010.csv   https s3
• GE_AT_PRE_2011.csv   https s3
• GE_AT_PRE_2012.csv   https s3
• GE_AT_PRE_2013.csv   https s3
• GE_AT_PRE_2014.csv   https s3
• GE_AT_PRE_2015.csv   https s3
• GE_AT_PRE_2016.csv   https s3
• GE_AT_PRE_2017.csv   https s3
• GE_AT_PRE_2018.csv   https s3
• GE_AT_PRE_2019.csv   https s3
• GE_AT_PRE_2020.csv   https s3
• GE_AT_PRE_2021.csv   https s3
• GE_AT_PRE_2022.csv   https s3