The VizieR upload service is dedicated to astronomers to upload and prepare the ingestion of a new catalogue.
A VizieR catalogue input consists of tabular data (one or more tables) and associated data like spectra, time series or images. These files are described in a ReadMe file.
This web application enables the upload of the data and invites you to fill a ReadMe file generated by the application.
The VizieR upload application will create a temporary repository containing your tables, associated files (spectra, images, cubes) if any, and the ReadMe file.
However, even after completing all steps, your catalogue will not be readily available in VizieR.
Additional work by the VizieR team is needed, including checks and homogenization to our standards, before the catalogue is fully ingested.
Note: The application enables to navigate the different steps of the uploads.
When a step is executed, the link "next step" becomes available as well as the "previous step" link.
See also the publication note to have an overview of the expected data.
The upload will generate:
The tables uploaded will be ingested in the VizieR service. Please, upload here only the regular tabular data (tables).
The VizieR submit service detects automatically the input format.
Accepted formats are:What cannot be used: postscript or word/excel files.
Note: zip and gzip compression are allowed. Archives should not contain directories.
Note: Check that all the tables are uploaded at this stage. Adding tables later implies to remove all tables and ReadMe.
A dedicated service for associated data improves the
visibility of the data. This service accepts only FITS format. Such FITS files can be uploaded at a later stage.
In the last step ("Validate"), there is also an upload option for other resources.
The ReadMe file aims at providing all necessary information to locate the catalogue (authors, title, abstract, keywords, acknowledgments, ...) and to interpret its contents by automatic procedures. The ReadMe is essential to the visibility and reusability of your data.
The ReadMe is a structured file following CDS standards.
A short overview of the conventions,
with some tips on how to fill the ReadMe file, is also available.
In particular the documentation of tables and columns in byte-by-byte sections:
The previous step generated a ReadMe based on your data, that you can :
Note: The online mode makes regular backups. You can restore the last version and force the backup.
Note: Check that all the tables are uploaded at this stage. Adding tables later implies to remove all tables and ReadMe.
The indexation is available only for FITS files. A good description is the key to discoverability. The meta-data comply with the ObsCore IVOA standards of the Virtual Observatory.
Examples of usage
The FITS header contains useful information that can be automatically detected if they are compliant with the standards.
The FITS upload generates a mapping between the spectra FITS header and ObsCore keywords.
We strongly encourage you to modify the mapping to better describe your data.
See the publication notes, section 'Associated data'.
More information is available in the previous section.
See the publication notes, section 'Associated data'
Please, verify that everything is correct before ending your session. Note that you can go back to the current work using the same login until you have submitted this page with the "Yes" button at the end of the page.
In the last step you can:
(*) Note : what files cannot be used:
images : postscript, word/excel documents, GIF or JPEG images
spectra : postscript, word/excel documents, GIF or JPEG images
Email is required. The email will be used if additional information is needed.
Note : If a modification to a recently uploaded is needed, please contact the VizieR staff.
The CDS provides tools to build ReadMe file and aligned ASCII tables(Machine Readable Table in FORTRAN format).
The anafile package checks the concordance of the ReadMe file with the actual tables. The checking procedure is also available as the anafile package which can be installed with the standard configure and make Linux procedures.
A Python library is also available (in beta version) that enables to generate a ReadMe from a list of files in different formats (csv, asii, fits).