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<oai:record><oai:header><oai:identifier>ivo://edu.gavo.org/hd/gavo_addpms</oai:identifier><oai:datestamp>2026-02-04T12:30:52Z</oai:datestamp></oai:header><oai:metadata><ri:Resource created="2017-03-24T00:00:00Z" status="active" updated="2026-02-04T12:30:52Z" version="1.2" xsi:type="doc:Document"><title>Adding catalog data to object lists using the VO</title><identifier>ivo://edu.gavo.org/hd/gavo_addpms</identifier><altIdentifier>doi:10.21938/LvJ43o1bcSnFO94vnnsqQA</altIdentifier><curation><publisher>The GAVO DC team</publisher><creator><name>Demleitner, M.</name></creator><date role="Inspected">2023-02-02</date><contact><name>Markus Demleitner</name><email>gavo@ari.uni-heidelberg.de</email><telephone>+49 6221 541837</telephone></contact></curation><content><subject>virtual-observatories</subject><subject>software-tutorials</subject><subject>proper-motions</subject><description> This brief tutorial shows you how to quickly add proper motions and
photometry from Gaia to (almost) any object list using the Virtual
Observatory. The VO protocol most suited to this kind of this is TAP
("table access protocol") and lets you transfer data and queries to
database servers. In the example, we will be using TOPCAT as a client.
There is no lock-in to it: There are libraries and other tools
allowing an integration of TAP operations into arbitrary workflows –
that's what standards are about. Tutorial supplements apply the
techniques to Simbad, show how to use TAP from Python, and introduce
UCDs.</description><referenceURL>http://www.g-vo.org/pmwiki/About/GettingStarted</referenceURL><contentLevel>Research</contentLevel><contentLevel>Amateur</contentLevel><relationship><relationshipType>Cites</relationshipType><relatedResource altIdentifier="ascl:1101.010">TOPCAT</relatedResource><relatedResource ivo-id="ivo://org.gavo.dc/tap">GAVO DC TAP service</relatedResource></relationship></content><rights rightsURI="https://spdx.org/licenses/CC0-1.0.html">To the extent possible under law, the publisher has waived all copyright and related or neighboring rights to The TAP crossmatch tutorial.  For details, see the `Creative Commons CC0 1.0 Public Domain dedication &lt;http://creativecommons.org/publicdomain/zero/1.0/&gt;`_.  Of course, you should still give proper credit when using this data as required by good scientific practice.

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