ogle.raw_dataivo://astro.upjs/ogle/q/raw_dataUPJŠ DC TeamSoszyński, I.Udalski, A.Szymański, M.K.Pietrukowicz, P.Skowron, D.M.Skowron, J.Poleski, R.Mróz, P.Kozłowski, S.Ulaczyk, K.Iwanek, P.Gromadzki, M.Rybicki, K.Wrona, M.Ratajczak, M.Mróz, M.Borowicz, J.Głowacki, M.Urbanowicz, M.2026-06-05T20:28:23ZUPJŠ Archive

Jesenná 5, 040 01 Košice, Slovakia

olga.vozyakova@student.upjs.sklight-curvesvariable-starssurveysA united view over original ident tables for SSA/ObsCore ingestion2014AcA....64..177Shttps://skvo.science.upjs.sk/tableinfo/ogle.raw_dataSurveyResearchLas CampanasWarsaw 1.3m TelescopeOpticalogle The **Optical Gravitational Lensing Experiment (OGLE)** is a long-term photometric survey operated by the University of Warsaw at Las Campanas Observatory. Most of the observations are carried out in the Cousins *I* filter, with auxiliary measurements in the *V* filter. High-cadence, long-term observations of crowded fields have led to the systematic discovery and classification of variable stars. The OGLE Collection of Variable Stars (OCVS) contains over one million objects. OCVS light curves span three survey phases: OGLE-II (1996-2000), OGLE-III (2001-2009), and OGLE-IV (2010-present). The VO-compliant re-publication of the OCVS light curve collection allows bulk download for objects with a specific variability class and parameters, which can be very handy for ML-based light curve analysis and related applications. The original data of the republished collection can be found at: https://www.astrouw.edu.pl/ogle/ogle4/OCVS/ While republishing, we almost preserve the original data structure. That is, there are tables with variable star parameters split by variability type (Cepheids, Eclipsing and Ellipsoidal Binaries, RR Lyrae stars, etc.) and by sky field: Galactic Bulge (BLG), Magellanic Clouds (LMC, SMC), Galactic Disc (GD). A few tables are related only to a variability class (e.g., Cataclysmic Variables - CV, BLAPs, Anomalous Cepheids in the Milky Way - ACEP/GAL) or a specific field (M54 variables, which comprise diverse classes). All observed objects with their main parameters are aggregated in the object_all table, which facilitates generic queries across all classes. This table is served by Cone Search. The ts_ssa table is the main table for light-curve queries. It is served by TAP and SSA services. The time series themselves, as well as previews of folded and unfolded light curves, can be accessed via DataLink from the ts_ssa and ObsCore tables. Direct links to previews of folded curves are placed in the *preview* column of both the *ts_ssa* and *ObsCore* tables.ogle.raw_dataA united view over original ident tables for SSA/ObsCore ingestion1500000ssa_dstitleA compact and descriptive designation of the dataset.meta.title;meta.datasetssa:DataID.Titlecharssa_targnameCommon name of object observed.meta.id;srcssa:Target.Namecharindexedssa_targclassObject class (star, QSO,...; use Simbad object classification http://simbad.u-strasbg.fr/simbad/sim-display?data=otypes if at all possible)src.classssa:Target.Classcharnullablessa_pubdidDataset identifier assigned by the publishermeta.ref.ivoidssa:Curation.PublisherDIDcharnullablessa_bandpassBandpass (i.e., rough spectral location) of this dataset; this should be the most appropriate term from the vocabulary http://www.ivoa.net/rdf/messenger.instr.bandpassssa:DataID.Bandpasscharindexednullablessa_specmidMidpoint of region covered in this datasetminstr.bandpassssa:Char.SpectralAxis.Coverage.Location.Valuefloatnullablessa_specstartLower value of spectral coordinatemem.wl;stat.minssa:Char.SpectralAxis.Coverage.Bounds.Startfloatnullablessa_specendUpper value of spectral coordinatemem.wl;stat.maxssa:Char.SpectralAxis.Coverage.Bounds.Stopfloatnullablessa_specextWidth of the spectrumminstr.bandwidthssa:Char.SpectralAxis.Coverage.Bounds.Extentfloatnullablessa_lengthNumber of points in the spectrumssa:Dataset.Lengthintnullablessa_collectionA short handle naming the collection this spectrum belongs to.ssa:DataID.Collectioncharnullablessa_referenceURL or bibcode of a publication describing this data.meta.bib.bibcodessa:Curation.Referencecharnullablessa_timeextExposure durationdtime.durationssa:Char.TimeAxis.Coverage.Bounds.Extentfloatnullablessa_fluxucdUCD of the flux columnmeta.ucdssa:Char.FluxAxis.Ucdcharnullablet_minLower bound of times represented in the data setdtime.start;obs.exposureobscore:char.timeaxis.coverage.bounds.limits.starttimedoublenullablet_maxUpper bound of times represented in the data setdtime.end;obs.exposureobscore:char.timeaxis.coverage.bounds.limits.stoptimedoublenullablepreviewLocation of a preview; this can be NULL if no preview is available, 'AUTO' to make DaCHS try its luck itself, or a URL or a file path for pre-computed previews.charnullableaccrefAccess key for the datameta.ref.urlAccess.ReferencecharindexednullableownerOwner of the datacharnullableembargoDate the data will become/became publicyrcharnullablemimeMIME type of the file servedmeta.code.mimeAccess.FormatcharnullableaccsizeSize of the data in bytesbyteVOX:Image_FileSizeAccess.Sizelongnullablessa_locationICRS location of aperture centerdegpos.eqssa:Char.SpatialAxis.Coverage.Location.Valuedoubleindexednullablessa_regionRough coverage based on location and aperture.pos.outline;obs.fielddoubleindexednullabledatalinkA link to a datalink document for this timeseriesmeta.ref.urlcharnullablemean_magStellar magnitudemagphot.mag;stat.meanfloatnullablefps_filter_idFilter Unique identifier within SVO Filter Profiles Servicemeta.ref.ivoidphotdm:PhotometryFilter.identifierchar