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Catalogue of radial velocity predictions for Gaia DR3
This catalogue accompanies our article (Naik & Widmark, 2022), in which we demonstrate the use of Bayesian neural networks for predicting the missing radial (line-of-sight) velocities of stars observed by the Gaia satellite.
The catalogue contains predictions for all Gaia stars in the magnitude range 6<G<14.5 which have distance estimates from StarHorse but do not have radial velocity measurements. This is around 17 million stars.
The catalogue contains 2 files, a larger file containing the source_ids and 250 posterior samples for each star, and a smaller file containing just the source_ids and the 5th/16th/50th/84th/95th percentile values
Dataframe from: Diversity of European habitat types is correlated with geography more than climate and human pressure
Additional file 1 of The Core Rehabilitation Outcome Set for Single-Sided Deafness (CROSSSD) study: International consensus on outcome measures for trials of interventions for adults with single-sided deafness
Kaleidoscore
Kaleidoscore is a digital score created through a Neoscore platform by composer Lauren McCall. The digital score incorporates digital images, shapes and key codes sending OSC messages in Neoscore to trigger 4 backing track samples in the Max MSP patch. A sense of duality is built through the imagery of the digital score such as changing colours, triangles and squares and the relationship between the two performers. When the shapes change colour it could represent a change between different dissonant material with each player. The digital score is fairly open with just a few instructions such as to play consonant sounds on flower imagery or when the notes appear without stems. The project was realised with the novel digital score platform Neoscore and was supported by Andrew Yoon and Craig Vear and commissioned through the Digital Score project
Understanding Robot Autonomy in Public
Video fragments from research project Understanding Robot Autonomy in Public. Video data has been anonymised. See https://robotsinpublic.or