Data
2024: The Radcliffe Wave is Oscillating
Download the Cluster Catalog
The full catalog of positions and velocities of the young stellar clusters is available at the Harvard Dataverse. doi:10.7910/DVN/XSCB9N
If you use these data, please cite the corresponding publication, available via the Publications page.
Download the Gas Catalog
The full catalog of 12CO radial gas velocities is available at the Harvard Dataverse. doi:10.7910/DVN/Q7F4PC
If you use these data, please cite the corresponding publication, available via the Publications page.
Download the Best Fit Model
The best fit model of the Radcliffe Wave is available at the Harvard Dataverse. doi:10.7910/DVN/F98QHY
If you use these data, please cite the corresponding publication, available via the Publications page.
2020: Discovery of the Radcliffe Wave
Download the Cloud Catalog
The full catalog of distances to stellar nurseries is available at the Harvard Dataverse. doi:10.7910/DVN/07L7YZ
A critical component of the Radcliffe Wave analysis was the ability to determine the 3D distribution not only of stellar nurseries, but of the tenuous filamentary connections between clouds. You can download the catalog of "bridging" features. doi:10.7910/DVN/K16GQX
Want to download the 3D structure of individual nurseries? We have detailed distance results available for a subset of clouds at the Harvard Dataverse. doi:10.7910/DVN/74Y5KU
If you use these data, please cite the corresponding catalog and methods publications, available via the Publications page.
Download the 3D Dust Map
The Radcliffe Wave result rested on a method designed to obtain the most accurate distances to stellar nurseries. But we have also produced maps of the 3D structure of all the interstellar material in our Galaxy based on a similar method (Green et al. 2019). Our Galactic 3D dust map is available at doi:/10.7910/DVN/2EJ9TX, while the catalog of stars used to produce it is available at doi/10.7910/DVN/AV9GXO
Query the 3D Dust Map
The latest 3D dust map of our Galaxy is available to query at http://argonaut.skymaps.info/. If you want to perform the same functionality in python, you can obtain the 3D dust map data via the dustmaps package.