Datasets#
The Vera C. Rubin Observatory In-Kind Program includes contributed datasets: complementary data products that international partners make available to the Rubin community in exchange for data rights. This page lists all current dataset contributions, helping the Rubin and NOIRLab community discover data relevant to their research.
Use the filters or the table below to browse by data type, wavelength regime, or science case. Each entry links to a fuller record with access details, documentation, and citation information once a dataset is ready to share. Most contributions are still pre-delivery; those are clearly marked and will be filled in as datasets become available.
Please email the in-kind helpdesk rubin-inkind at noirlab dot edu if you have any questions about contributed datasets.
| Dataset | Data type | Wavelength | Primary recipient | Status | Updated |
|---|---|---|---|---|---|
| Value-Added Catalogs | TBD | LSST AGN Science Collaboration | Available | 2026-07-29 | |
| Value-Added Catalogs, Imaging / Cutouts | Optical, NIR | NOIRLab CSDC | Available | 2026-07-29 | |
| Value-Added Catalogs | TBD | LSST Transients and Variable Stars Science Collaboration | Available | 2026-07-29 | |
| Value-Added Catalogs, Time-Series / Lightcurves, Imaging / Cutouts, Diagnostic plots and recipes to personalise the extracted data | Optical | LSST AGN Science Collaboration | Available | 2026-07-28 | |
| Time-Series / Lightcurves, Spectra | Optical | DESC | Available | 2026-07-28 | |
| Imaging / Cutouts, Value-Added Catalogs | Radio | Galaxies Science Collaboration | Not yet delivered | 2026-07-22 | |
| Spectra | Optical | DESC | Not yet delivered | 2026-07-22 | |
| Value-Added Catalogs | X-ray, Optical | LSST AGN Science Collaboration | Not yet delivered | 2026-07-15 | |
| Imaging / Cutouts | UV | NOIRLab CSDC | Not yet delivered | 2026-07-15 | |
| Spectra, Machine Learning Training Sets | Optical, NIR | TVS | Not yet delivered | 2026-07-15 | |
| Spectra, Imaging / Cutouts | Optical | NOIRLab CSDC | Not yet delivered | 2026-07-15 | |
| Time-Series / Lightcurves, Imaging / Cutouts | Optical | DESC | Not yet delivered | 2026-07-15 | |
| Time-Series / Lightcurves, Imaging / Cutouts | Optical | SLSC | Not yet delivered | 2026-07-15 | |
| Spectra | Optical, NIR | DESC | Not yet delivered | 2026-07-15 | |
| Spectra, Machine Learning Training Sets | Optical, NIR | DESC | Not yet delivered | 2026-07-15 | |
| Spectra, Machine Learning Training Sets | Optical, NIR | DESC | Not yet delivered | 2026-07-15 | |
| Time-Series / Lightcurves, Imaging / Cutouts | Optical | NOIRLab | Not yet delivered | 2026-07-15 | |
| Value-Added Catalogs, Imaging / Cutouts | Radio | NOIRLab CSDC | Not yet delivered | 2026-07-15 |
SER-SAG-S1 - Serbia
Value-Added Catalogs Astronomy software Astrophysics Exoplanet astronomy Stellar astronomy Planetary science Solar system
Primary recipient: LSST AGN Science Collaboration
Target audience: Specific Science Collaboration (e.g., DESC, TVS, SMWLV)
TBD
Data volume: The current QhX Hub is based on known quasars in LSST DP1. Of approximately 1,500 cross-matched quasars, 428 met the sampling criteria and form the analysed sample. For these sources the Hub stores statistical results (object-level and per-band tables, including light-curve features and coherence/vetting metrics) together with per-object images and interactive plots. The current total data volume is of order a few hundred megabytes, dominated by the image and interactive-plot products; it will scale with successive LSST Data Releases.
Hosting location: It resides on data cloud machine at University of Kragujevac that is obtained through TVS SC Kickstarter grant https://faculty.washington.edu/ivezic/lsst/LOI2022Plitvice/Simic_Regional_Storage_Support_for_LSST_Related_Science.pdf
Access: https://ser-sag.pmf.kg.ac.rs:8081/agn_catalogue.php
Documentation: Catalogue functioQhX Hub (https://ser-sag.pmf.kg.ac.rs:8081/agn_catalogue.php, doi:10.5281/zenodo.17914817),
Support channel: agncatalogue.sersag@gmail.com.
Citation: Citation. Users of the QhX AGN variability catalogue / QhX Hub should cite the catalogue paper (Kovačević et al. 2026, ApJSS ) and its technical documentation (Stanković Cerović et al. 2025, Zenodo, doi:10.5281/zenodo.17914817). Acknowledgement. In addition to the citations above, please include: “This work makes use of data/software products from the QhX contribution, developed as a contribution to the Rubin community through the Rubin In-Kind program, with contribution ID SER-SAG-S1.” License. The catalogue data products are open-access; access to the full catalogue via the QhX Hub is granted to Rubin Data Rights Holders on request (ORCID authentication), consistent with Rubin data-rights policy.
Maintenance plan: Discrete future Data Releases (e.g. DR2)
Data schema: https://zenodo.org/records/18248330
Access mechanisms: TAP / Virtual Observatory Service, API, Web Portal / Interface
Authentication: Rubin Data Rights verification (RSP authentication)
Generation methods: Generated with the QhX pipeline delivered under this contribution (ID SER-SAG-S1): wavelet (WWZ) time–frequency analysis + 2D period–period cross-correlation with statistical vetting (significance, period-error bounds, IoU). Input DP1 light curves selected by cross-matching DP1 sources (via LSDB) with external AGN catalogues (DESI, Quaia, MilliQuas, ZTF/QZO); products served through the QhX Hub. Software: LSST-SER-SAG-S1/QhX1 (Kovačević et al. 2026, JOSS, doi:10.21105/joss.08163), Catalogue: Kovačević et al. 2026 (ApJS, accepted). Docs: Cerovic et al 2026 doi:10.5281/zenodo.17914817.
Validation & limitations: QA in Kovačević et al. 2026 (ApJS, accepted): permutation significance, cross-band IoU consistency, sinusoidal vetting (SN larger 1.5, phase-lag larger than 0.10), FDR control (Benjamini–Hochberg, none rejected); reliability via Dawid–Skene (0.023) and alias-floor (0.975) purity. Limitations: prototype DP1 catalogue; 7-week baseline, possible to infer day-scale only; strong diurnal aliasing (0.5, 1, 2 d); sample g,r,i,z larger than 50 epochs (428 of1,456; u/y excluded); conservative (1 strong + 15 medium of 230); asymmetric baseline-limited period errors.
Updated: 2026-07-29
UKD-UKD-S5 - United Kingdom
Value-Added Catalogs Imaging / Cutouts Optical NIR Galactic and extragalactic astronomy Interdisciplinary astronomy Observational astronomy
Primary recipient: NOIRLab CSDC
Target audience: TBD
LSST:UK will provide joint LSST+VISTA near infra-red catalogues produced using the LSST Stack and access to VISTA survey images as a dataset contribution, as well as an implementation of the LSST Stack pipeline reconfigured to jointly process LSST pixels with external survey pixels.
Data volume: The final merged DP1 ECDFS catalogue contains approximately 1.38 million catalogue sources (1,380,173 rows). The total storage volume, including the ComCam and VIRCAM coadd images, Butler catalogues, and merged catalogue, has not yet been quantified and will be confirmed from the UK RSP/UK DAC storage system.
Hosting location: The dataset resides within the UK Independent Data Access Centre (UK IDAC/UK DAC) and is accessible through the UK Rubin Science Platform.
Access: https://rsp.lsst.ac.uk/
Documentation: Jupyter tutorials demonstrating how to access, display, and interact with the DP1 ComCam–VISTA data products through the UK Rubin Science Platform are available at: lsst-uk/rsp-uk-notebooks
Support channel: Questions can primarily be directed to the project contacts by email at [M.Banerji-Wright@soton.ac.uk and E.Saremi@soton.ac.uk]. The Rubin Community Forum may also be used as a secondary channel for questions, discussion, and feedback from the wider Rubin community.
Citation: Users are requested to acknowledge the LSST–VISTA Fusion Pipeline developed as part of the LSST:UK in-kind contribution. Publications using these data should cite the forthcoming LSST–VISTA Fusion Pipeline paper (Saremi et al. in prep).
Maintenance plan: Discrete future Data Releases (e.g. DR2)
Data schema: The DP1 ECDFS LSST–VISTA dataset available through the UK Rubin Science Platform includes ComCam optical and VIRCAM near-infrared deepCoadd_calexp images, measured-source catalogues (deepCoadd_meas), forced-photometry catalogues (deepCoadd_forced_src), and a merged multi-band catalogue. The image and catalogue products follow the Rubin Butler data model, with dataset type, band, tract, patch, calibration, WCS, mask, variance, and associated metadata available through the Butler repository. The final merged catalogue contains 87 columns, with column descriptions and units provided alongside the catalogue documentation. The column names, and data types, descriptions for the final merged DP1 ECDFS LSST–VISTA catalogue are documented at: lsst-uk/lsst-ir-fusion
Access mechanisms: Rubin Science Platform (RSP) Integration
Authentication: UK RSP authentication
Generation methods: The dataset was generated using the LSST–VISTA Fusion Pipeline, together with the VIRCAM instrument package obs_vista. VISTA/VIRCAM data were ingested into a Rubin Gen3 Butler repository, calibrated and aligned with the Rubin skymap, and processed to produce optical and near-infrared coadd images, measured-source catalogues, forced-photometry catalogues, and a merged multi-band catalogue. Both lsst-ir-fusion and obs_vista are part of the LSST:UK in-kind contribution. Contribution ID: UKD-UKD-S5
Validation & limitations: Quality assurance included checks of image and catalogue completeness, astrometric comparison with Gaia DR3, and photometric comparison with the public VIDEO catalogue. The validation examined positional and photometric residuals, magnitude distributions, colour–colour behaviour, bright-source performance, patch-level completeness, and band-specific quality flags. Known limitations include non-uniform optical and near-infrared coverage and missing forced-photometry products in five patch units. Users should therefore apply quality flags and magnitude-error selections separately for each band. The QA and diagnostic notebooks are available at: lsst-uk/lsst-ir-fusion
Updated: 2026-07-29
UKD-UKD-S9 - UK
Value-Added Catalogs Cosmology Galactic and extragalactic astronomy Interstellar medium Observational astronomy Stellar astronomy
Primary recipient: LSST Transients and Variable Stars Science Collaboration
Target audience: General Rubin Community
TBD
Data volume: Size unknown – it depends on the number of rows of each data release – but there will be approximately 20 datasets, each of order 10 columns, that match the entire LSST Object table to a set of ~10 ancillary datasets, with the photometric likelihood portion of the software included and not included respectively.
Hosting location: The UK IDAC, but we hope other DACs may pick up the datasets in the future.
Access: .
Documentation: .
Support channel: At the moment the macauff (github.com/macauff/macauff) issues page is one possibly option, or to email onoddil@pm.me for as long as I am the main developer of the macauff software.
Citation: Wilson & Naylor, 2017, MNRAS, 468, 2517 Wilson & Naylor, 2018a, MNRAS, 473, 5570 Wilson & Naylor, 2018b, MNRAS, 481, 2148 Wilson, 2022, RNAAS, 6, 60 Wilson, 2023, RASTI, 2, 1
Maintenance plan: Discrete future Data Releases (e.g. DR2)
Data schema: .
Access mechanisms: TAP / Virtual Observatory Service, Web Portal / Interface, Rubin Science Platform (RSP) Integration
Authentication: Rubin Data Rights verification (RSP authentication)
Generation methods: Datasets are generated by macauff
Validation & limitations: Software tested with CI as well as validated on a host of non-LSST cross-matches in development.
Updated: 2026-07-29
ITA-INA-S29 - Italy
Value-Added Catalogs Time-Series / Lightcurves Imaging / Cutouts Diagnostic plots and recipes to personalise the extracted data Optical Cosmology Galactic and extragalactic astronomy High energy astrophysics Observational astronomy
Primary recipient: LSST AGN Science Collaboration
Target audience: Specific Science Collaboration (e.g., DESC, TVS, SMWLV)
We propose to use 170 hours/year of VST time to execute a precursor survey with VST, to complement and extend in time the LSST dataset on 4 DDF, and to combine these observations with all archival data to deliver reduced images, catalogs and lightcurves lasting up to >10 years to the US/Chilean communities.
Data volume: 550 GB
Hosting location: University of Naples Ad-Hoc data center. A second copy on personal NAS for small data retrieval needs.
Access: https://sites.google.com/view/timedomes/data-releases?authuser=0
Documentation: Jupiter Notbooks for DP1 cross-calibration and light curve extraction are being developed, although these were not part of the agreed data product.
Support channel: Email maurizio.paolillo@unina.it or tag M.Paolillo on Community.lsst.org or SLAC channels.
Citation: “This work made use of the data provided by the TIMEDOMES project, an Italian in-kind contribution to the LSST community.” A series of papers presenting the project are in preparation. For the time being users can cite the works n. 1 and 5 in the publication list for Cosmos and CDFS data respectively, in addition to any other that is relevant to their specific project. The publication list can be found here: https://sites.google.com/view/timedomes/publications?authuser=0
Maintenance plan: Discrete future Data Releases (e.g. DR2)
Data schema: https://docs.google.com/document/d/1X4idB7uv9xptCg6Q9f3XUla0dWfakTo9qh3YJxCZbtE/edit?usp=sharing
Access mechanisms: Direct File Download (HTTP/FTP), The access through the Ad-Hoc data center require to obtain VPN access first as explained at the provided link
Authentication: Requires specific institutional or IDAC Login
Generation methods: The data are reduced through the AstroWise pipeline for VST data reduction. Catalogs are produced through SExtractor, while masks lightcurves and diagnostic plots are produced through dedicated IDL/python software developed in-house. All information are at: https://sites.google.com/view/timedomes/data?authuser=0
Validation & limitations: Sungle epoch catalogs reach r~23.5 mag. Single-epoch catalogs are cross-calibrated to a specific epoch requiring an average rms<0.05 mag for sources between r=16-21. Cross-calibration with LSST DP1/DP2 is under way. Limitations are mostly in the non-homogeneous area coverage due to past archival data and large temporal gaps. All this is shown clearly at: https://sites.google.com/view/timedomes/data?authuser=0
Updated: 2026-07-28
SWE-STK-S4 - Sweden
Time-Series / Lightcurves Spectra Optical Cosmology Galactic and extragalactic astronomy
Primary recipient: DESC
Target audience: Specific Science Collaboration (e.g., DESC, TVS, SMWLV)
SU will provide online data file access (anticipated to be hosted at NOIRLab) whereby it is possible for LSST users to download the photometry and spectroscopy tables for each ZTF/ZTF-II SN (or the entire set at once), as well as the ancillary information about the host galaxy environment. We will provide machine readable files, including standard formats used by lightcurve fitters (SALT2, SNooPy) and FITS tables.
Data volume: The DR2 sample contains 3,628 spectroscopically confirmed SNe Ia (with 2,667 meeting standard cosmology cuts) gathered by the Zwicky Transient Facility between March 2018 and December 2020. The catalogs are about 250 Mb.
Hosting location: IN2P3 server
Access: http://ztfcosmo.in2p3.fr/ data also accessible through WiseRep
Documentation: ZwickyTransientFacility/ztfcosmo
Support channel: ZwickyTransientFacility/ztfcosmo
Citation: https://ui.adsabs.harvard.edu/abs/2025A%26A…694A…1R/abstract
Maintenance plan: Discrete future Data Releases (e.g. DR2)
Data schema: https://ui.adsabs.harvard.edu/abs/2025A%26A…694A…1R/abstract
Access mechanisms: Direct File Download (HTTP/FTP), API
Authentication: Open Access (Publicly available)
Generation methods: The overview paper links above provide all the required documentation.
Validation & limitations: 1% sensor issue in some of the CCDs being fixed in next release, DR2.5
Updated: 2026-07-28
SZA-SAA-S2 - South Africa
Imaging / Cutouts Value-Added Catalogs Radio Galactic and extragalactic astronomy
South Africa will produce reduced high-level data products (images and catalogs) and services for MeerKAT data, as endorsed by the Galaxies Science Collaboration, integrated into the Rubin Science Platform.
Primary recipient: Galaxies Science Collaboration
Also see: software (SZA-SAA-S2) →Updated: 2026-07-22
UKD-UKD-S10 - United Kingdom
Spectra Optical Cosmology
To provide non-directable software development effort to the LSST DESC for transient spectroscopic follow-up, developing software to ensure successful scheduling and observation of transients and their host galaxies by 4MOST, and the return of the transient types and redshifts to the collaboration (through the Lasair broker, within 24hrs) and the final calibrated spectra as contributed data sets on an annual basis.
Primary recipient: DESC
Also see: software (UKD-UKD-S10) →Updated: 2026-07-22
GER-MPE-S3 - Germany
Value-Added Catalogs X-ray Optical High energy astrophysics
MPE will generate and curate eROSITA-LSST value-added catalogs for the AGN that the LSST collaboration will identify, using public eROSITA data that MPE itself is responsible for.
Primary recipient: LSST AGN Science Collaboration
Updated: 2026-07-15
ISR-UST-S2 - Israel
Imaging / Cutouts UV Observational astronomy
Rubin community will have access to the ULTRASAT all-sky map produced in the first six-months of operation for at least 12 months prior to the public data release.
Primary recipient: NOIRLab CSDC
Updated: 2026-07-15
ITA-INA-S16 - Italy
Spectra Machine Learning Training Sets Optical NIR Observational astronomy
INAF will deliver 2,000 spectra obtained with SOXS from LSST targets. Deliverables are the entire data acquired for the targets, including 1-D extracted spectra and spectral classification.
Primary recipient: TVS
Updated: 2026-07-15
ITA-INA-S17 - Italy
Spectra Imaging / Cutouts Optical Galactic and extragalactic astronomy
We propose to share a vast spectroscopic database on galaxy clusters, complemented with physical metadata and other imaging (ground-based and HST) data-products, with the LSST community, effectively creating a Cluster Spectroscopy Hub for the exploitation of LSST data for a range of cluster science cases.
Primary recipient: NOIRLab CSDC
Updated: 2026-07-15
ITA-INA-S27 - Italy
Time-Series / Lightcurves Imaging / Cutouts Optical Cosmology
We propose to use 80 nights/year of VST time from 2026 until 2032 (with a possible extension to 2036) to execute a support survey with VST, to complement the LSST dataset improving the light curve sampling of transient and variable sources, and to deliver the data to the US/Chilean communities before they are made public.
Primary recipient: DESC
Updated: 2026-07-15
ITA-INA-S28 - Italy
Time-Series / Lightcurves Imaging / Cutouts Optical Cosmology
We propose to use 4620 hours (i.e., 577.5 nights) of VST time over 7 years to complement the LSST dataset improving the light curve sampling of transient and variable sources strongly lensed by galaxies and galaxy clusters, and to deliver the data to the US/Chilean communities before they are made public.
Primary recipient: SLSC
Updated: 2026-07-15
JAP-JPG-S10 - Japan
Spectra Optical NIR Cosmology
JPG will deliver the data products from the Subaru PFS spectroscopic follow-up survey of LSST transients in drilling fields, to be ingested into Kavli IPMU Lite IDAC.
Primary recipient: DESC
Updated: 2026-07-15
JAP-JPG-S11 - Japan
Spectra Machine Learning Training Sets Optical NIR Cosmology
The activity offered by JPG would involve the development of a target selection algorithm in close collaboration with the Rubin Photo-z Coordination Group and/or DESC, the observation and data analysis, the ingestion of the dataset into Kavli IPMU Lite IDAC with NOIRLab CSDC, and finally the scientific application of the dataset to improve photo-z accuracy of LSST photometric redshifts.
Primary recipient: DESC
Updated: 2026-07-15
JAP-JPG-S12 - Japan
Spectra Machine Learning Training Sets Optical NIR Cosmology
JPG will deliver the data products of PFS-SSP, based upon approval from the PFS-SSP team, to the LSST community for photo-z calibration and training datasets.
Primary recipient: DESC
Updated: 2026-07-15
NZL-AUK-S2 - New Zealand
Time-Series / Lightcurves Imaging / Cutouts Optical Galactic and extragalactic astronomy
The MOA archive will be ingested into a locally maintained server that will provide image cutouts at the start of the LSST survey and machine calibrated photometry 12 months after the beginning of the survey, giving high cadence coverage of the Galactic Bulge and Magellanic Clouds dating back to 2006.
Primary recipient: NOIRLab
Updated: 2026-07-15
UKD-OXF-S7 - United Kingdom
Value-Added Catalogs Imaging / Cutouts Radio Galactic and extragalactic astronomy
The activity offered by Oxford would involve installation of the MIGHTEE Survey data at the UK DAC, and subsequently, joint work with the LSST Science Collaborations in training photo-z (based on HI data and the incorporation of radio continuum and polarisation data) as well as user support for the LSST Science Community to facilitate the use of the Survey data.
Primary recipient: NOIRLab CSDC
Updated: 2026-07-15