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Product_Collection
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-
- logical_identifier
- urn:nasa:pds:verma-python-2022:misc-python
- version_id
- 1.0
- title
- A Python-based tool for constructing observables from the DSN's
closed-loop archival tracking data files - Miscellaneous Collection
- information_model_version
- 1.13.0.0
- product_class
- Product_Collection
- Citation_Information
-
- author_list
- Verma, A. K.
- publication_year
- 2022
- keyword
- Radio science
- keyword
- ATDF
- keyword
- Closed-loop
- keyword
- DSN
- keyword
- Python
- description
- This collection contains the code presented in Verma, A. K., A Python-based tool for constructing observables from the DSN's
closed-loop archival tracking data files, SoftwareX, Volume 19, 2022, 101190, ISSN 2352-7110,
https://doi.org/10.1016/j.softx.2022.101190
See the user-guide.pdf for more information.
A copy of the paper is also included in this collection.
This research was funded by NASA Cooperative Agreement Notice (CAN) Award 80NSSC22M0023.
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-
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- Internal_Reference
-
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urn:nasa:pds:context:instrument:dsn.rss
- reference_type
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- Collection
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- collection_type
- Miscellaneous
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- File
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- 2022-08-24
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