This is the OAI-PMH endpoint of the purx publishing registry proxy.
purx lets you publish VOResource records by just putting XML into a
web browser. For details, see http://dc.g-vo.org/PURX.
This is a redacted version of the SDSS DR16 table prepared for VizieR
(V/154/sdss16). It is mainly here to facilitate local matches; for
original SDSS-related research, it is probably better to somewhere
else.
Over VizieR and SDSS, we are keeping most of the per-band values in
arrays to keep the column list manageable. Note that in ADQL, array
indexes are 1-based.
We are trying to orient our column names on SDSS but use underscores
instead of camel-casing (e.g. spec_obj_id instead of SpecObjID), since
mixed-case identifiers in SQL is asking for trouble.
To save space, we do not keep psf-based classifications, per-band
offsets, spectrum metadata, and USNO-related information in this
table. Let the operators know if you need any of that.
Shomydl shows Datalink_ documents in a web browser using the
`XSLT used in DaCHS`_. It is meant to give authors of such documents
an idea of how clients would interpret their document.
.. _Datalink: http://ivoa.net/documents/DataLink/
.. _XSLT used in DaCHS: https://github.com/msdemlei/datalink-xslt
Simulated non-Gaussian temperature and polarization CMB maps. The
non-Gaussian simulations have been generated using the algorithm described in
:bibcode:`2009ApJS..184..264E` up to a multipole moment of l_max = 1024. The
transfer functions were computed with CAMB version February 2009 and RECFAST
1.5.
This is a rendering of the `CASA Offline Splatalogue`_ in
a draft LineTAP, mainly intended to enable verification of the standard.
This is not recommended for production yet. In particular, many
InChIs are known wrong, and we have skipped several hundred lines
because we did have no InChIs for their species at all.
.. _CASA Offline Splatalogue: https://safe.nrao.edu/wiki/bin/view/ALMA/CASA_Offline_Splat_list
The tutorial uses VOSA to analyse members of the Collinder 69 open
cluster by crossmatching a given local set of objects and accesses VO
services to crossmatch the objects with 2MASS to receive colors. The
resulting SEDs are analysed using different fit functions.
The Fifth Catalogue of Nearby Stars (CNS5) aims to provide the most
volume-complete sample of stars in the solar neighbourhood. The CNS5
is compiled based on trigonometric parallaxes from Gaia EDR3 and
Hipparcos, and supplemented with astrometric data from Spitzer and
ground-based surveys carried out in the infrared. The CNS5 catalogue
is statistically complete down to 19.7 mag in G-band and 11.8 mag in
W1-band absolute magnitudes, corresponding to a spectral type of L8.
Continuous updates of observational data for nearby stars from all
sources were collected and evaluated. For all known stars in the 25 pc
sphere around the Sun, the best values of positions in space,
velocities, and magnitudes in different filters are presented.
This is a clean and well characterised catalogue of objects within 100pc of
the Sun from the Gaia early third data release. We characterise the
catalogue using the full data release, and comparisons to other catalogues
in literature and simulations. For all candidates (measured parallax <
8 mas), we calculate a distance probability function using Bayesian
procedures and mock catalogues for the prediction of the priors. For each
entry using a random forest classifier we attempt to remove sources with
spurious astrometric solutions.
This results in 331312 objects that should contain at least 92% of stars
within 100 pc at spectral type M9.
GCNS comes with several auxiliary tables, in particular lists of
resolved stellar systems, of known neary stars not found in eDR3 and
of candidates of Hyades and ComaBer cluster members.
This is a clean and well characterised catalogue of objects within 100pc of
the Sun from the Gaia early third data release. We characterise the
catalogue using the full data release, and comparisons to other catalogues
in literature and simulations. For all candidates (measured parallax <
8 mas), we calculate a distance probability function using Bayesian
procedures and mock catalogues for the prediction of the priors. For each
entry using a random forest classifier we attempt to remove sources with
spurious astrometric solutions.
This results in 331312 objects that should contain at least 92% of stars
within 100 pc at spectral type M9.
GCNS comes with several auxiliary tables, in particular lists of
resolved stellar systems, of known neary stars not found in eDR3 and
of candidates of Hyades and ComaBer cluster members.
![To the extent possible under law, the publisher has waived all copyright and related or neighboring rights to GAVO's ADQL course. For details, see the `Creative Commons CC0 1.0 Public Domain dedication <http://creativecommons.org/publicdomain/zero/1.0/>`_. Of course, you should still give proper credit when using this data as required by good scientific practice. .. image:: /static/img/cc0.png :alt: [CC0]](/registry-search/?f%5BcontentLevel_facet%5D%5B%5D=Research&f%5Bpublisher_facet_trim%5D%5B%5D=The+GAVO+DC+team&f%5Brights_facet%5D%5B%5D=To+the+extent+possible+under+law%2C+the+publisher+has+waived+all+copyright+and+related+or+neighboring+rights+to+GAVO%27s+ADQL+course.++For+details%2C+see+the+%60Creative+Commons+CC0+1.0+Public+Domain+dedication+%3Chttp%3A%2F%2Fcreativecommons.org%2Fpublicdomain%2Fzero%2F1.0%2F%3E%60_.++Of+course%2C+you+should+still+give+proper+credit+when+using+this+data+as+required+by+good+scientific+practice.%0A%0A..+image%3A%3A+%2Fstatic%2Fimg%2Fcc0.png%0A+++%3Aalt%3A+%5BCC0%5D%0A%0A){kind=link}
![OpenNGC is licensed under the `Creative Commons Attribution Share-Alike 4.0 License <http://creativecommons.org/licenses/by-sa/4.0/>`_ .. image:: /static/img/ccbysa.png :alt: [CC-BY-SA]](/registry-search/?f%5BcontentLevel_facet%5D%5B%5D=Research&f%5Bpublisher_facet_trim%5D%5B%5D=The+GAVO+DC+team&f%5Brights_facet%5D%5B%5D=OpenNGC+is+licensed+under+the+%60Creative+Commons+Attribution+Share-Alike+4.0+License+%3Chttp%3A%2F%2Fcreativecommons.org%2Flicenses%2Fby-sa%2F4.0%2F%3E%60_%0A%0A..+image%3A%3A+%2Fstatic%2Fimg%2Fccbysa.png%0A+++%3Aalt%3A+%5BCC-BY-SA%5D%0A){kind=link}