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ready Table Access Protocol

Abbreviation: TAP

General Information
The table access protocol (TAP) defines a service protocol for accessing general table data, including astronomical catalogs as well as general database tables. Access is provided for both database and table metadata as well as for actual table data. This version of the protocol includes support for multiple query languages, including queries specified using the Astronomical Data Query Language ADQL within an integrated interface. It also includes support for both synchronous and asynchronous queries. Special support is provided for spatially indexed queries using the spatial extensions in ADQL. A multi-position query capability permits queries against an arbitrarily large list of astronomical targets, providing a simple spatial cross-matching capability. More sophisticated distributed cross-matching capabilities are possible by orchestrating a distributed query across multiple TAP services.


Countries that developed this resource Worldwide

Created in 2018

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How to cite this record TAP; Table Access Protocol; DOI:; Last edited: May 8, 2020, 3:47 p.m.; Last accessed: Jan 18 2022 7:37 a.m.

Publication for citation  Table Access Protocol Version 1.0 Dowler, Patrick; Rixon, Guy; Tody, Doug; SAO/NASA Astrophysics Data System ; 2010.

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Record added: May 1, 2018, 1:42 p.m.
Record updated: May 8, 2020, 1:57 p.m. by The FAIRsharing Team.

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Additional Information


    No tools defined


No XSD schemas defined

Access / Retrieve Data


Table Access Protocol Version 1.0

Dowler, Patrick; Rixon, Guy; Tody, Doug
SAO/NASA Astrophysics Data System 2010

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Related Databases (1)
NASA/IPAC Extragalactic Database
NASA/IPAC Extragalactic Database (NED) is a comprehensive database of multiwavelength data for extragalactic objects, providing a systematic, ongoing fusion of information integrated from hundreds of large sky surveys and tens of thousands of research publications. The contents and services span the entire observed spectrum from gamma rays through radio frequencies. As new observations are published, they are cross- identified or statistically associated with previous data and integrated into a unified database to simplify queries and retrieval.

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