{"metadata":{"code_id":162015,"site_ownership_code":"SLAC","open_source":true,"repository_link":"https://github.com/lsst/tutorial-notebooks","project_type":"OS","software_type":"S","official_use_only":{},"developers":[{"email":"","orcid":"","first_name":"NSF-DOE","last_name":"Vera C. Rubin Observatory","middle_name":"","affiliations":[]}],"contributors":[],"sponsoring_organizations":[{"organization_name":"U.S. National Science Foundation","funding_identifiers":[],"primary_award":"NSF Cooperative Support Agreement AST-1202910","DOE":false},{"organization_name":"U.S. National Science Foundation","funding_identifiers":[],"primary_award":"NSF Cooperative Agreement AST-2241526","DOE":false},{"organization_name":"U.S. National Science Foundation","funding_identifiers":[],"primary_award":"NSF Cooperative Agreement AST-1258333","DOE":false},{"organization_name":"U.S. National Science Foundation","funding_identifiers":[],"primary_award":"NSF Cooperative Support Agreement AST-1836783","DOE":false},{"organization_name":"U.S. National Science Foundation","funding_identifiers":[],"primary_award":"NSF Cooperative Support Agreement AST-2211468","DOE":false},{"organization_name":"USDOE Office of Science (SC), High Energy Physics (HEP)","funding_identifiers":[],"primary_award":"AC02-76SF00515","DOE":true}],"contributing_organizations":[],"research_organizations":[{"organization_name":"National Optical-Infrared Astronomy Research Laboratory (NOIRLab)","DOE":false},{"organization_name":"SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)","DOE":true},{"organization_name":"NSF-DOE Vera C. Rubin Observatory","DOE":true}],"related_identifiers":[],"award_dois":[],"release_date":"2021-07-29","software_title":"Rubin Observatory LSST Tutorials","acronym":"tutorial-notebooks","doi":"https://doi.org/10.11578/rubin/dc.20250909.20","description":"A collection of tutorials -- both Jupyter notebooks and documentation-based ---  demonstrating data access, analysis, and visualization techniques for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). These tutorials are intended for astronomers, educators, and data scientists working with LSST data products.","programming_languages":["Python"],"documentation_url":"https://dp1.lsst.io/tutorials/index.html","country_of_origin":"United States","project_keywords":[],"licenses":["Apache License 2.0"],"recipient_org":"Fermi National Accelerator Laboratory (Fermilab)","date_record_added":"2025-08-27","date_record_updated":"2025-10-03","is_file_certified":false,"last_editor":"dtucker@fnal.gov","is_limited":false,"links":[{"rel":"citation","href":"https://www.osti.gov/doecode/biblio/162015"}]}}