Cluster, Monthly JSOC Predicted Solar Cycle Trends - M. Hapgood (RAL)

Fetch the full dataset (template)

import cloudcatalog
dataset_id = 'CL_JP_PCY'
start = '1999-01-01T00:00:00.000Z'
stop =   '2024-12-01T00:00:00.000Z'
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

• CL_JP_PCY_1999.csv   https s3
• CL_JP_PCY_2000.csv   https s3
• CL_JP_PCY_2001.csv   https s3
• CL_JP_PCY_2002.csv   https s3
• CL_JP_PCY_2003.csv   https s3
• CL_JP_PCY_2004.csv   https s3
• CL_JP_PCY_2005.csv   https s3
• CL_JP_PCY_2006.csv   https s3
• CL_JP_PCY_2007.csv   https s3
• CL_JP_PCY_2008.csv   https s3
• CL_JP_PCY_2009.csv   https s3
• CL_JP_PCY_2010.csv   https s3
• CL_JP_PCY_2011.csv   https s3
• CL_JP_PCY_2012.csv   https s3
• CL_JP_PCY_2013.csv   https s3
• CL_JP_PCY_2014.csv   https s3
• CL_JP_PCY_2015.csv   https s3
• CL_JP_PCY_2016.csv   https s3
• CL_JP_PCY_2017.csv   https s3
• CL_JP_PCY_2018.csv   https s3
• CL_JP_PCY_2019.csv   https s3
• CL_JP_PCY_2020.csv   https s3
• CL_JP_PCY_2021.csv   https s3
• CL_JP_PCY_2022.csv   https s3
• CL_JP_PCY_2023.csv   https s3
• CL_JP_PCY_2024.csv   https s3