Automated Organization Profile

Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory

Current S-Index

2.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.2

Average Dataset Index per dataset

Total Datasets

2

Total datasets in this organization

Average FAIR Score

69.2%

Average FAIR Score per dataset

Total Citations

0

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

SPICY - The Spitzer/IRAC Candidate YSO Catalog for the Inner Galactic Midplane Stamp Album

We present an album with image stamps in the PNG and FITS formats of the environment of 120,000 Spitzer/IRAC candidate young stellar objects (YSOs). There is a total of 586238 images included in this dataset. The SPICY YSO candidates were selected based on surveys of the Galactic midplane between l255 deg and 110 deg, including the GLIMPSE I, II, and 3D, Vela-Carina, Cygnus X, and SMOG surveys, comprising 613 square degrees, augmented by near-infrared catalogs. We employed a classification scheme that uses the flexibility of a tailored statistical learning method and curated YSO datasets to take full advantage of IRAC's spatial resolution and sensitivity in the mid-infrared ~3-9 micron range. Most of the candidates are in regions with mid-IR nebulosity, associated with star-forming clouds, but others appear distributed in the field. Given that no current or planned instruments will significantly exceed IRAC's spatial resolution while possessing its wide-area mapping capabilities, Spitzer-based catalogs such as ours will remain the main resources for mid-infrared YSOs in the Galactic midplane for the near future. For more information about the catalog see https://arxiv.org/abs/2011.12961. The data in this album were used to produce the simple YSO environment classification in the aforementioned work, and they can be used to facilitate the study of the local environments around YSOs as well as to provide a curated dataset to promote further development of content-based information retrieval systems and of methods to classify and cluster images that are able to cope with challenging astronomical regions.

Authors

  • Kuhn, Michael A. ;
  • Souza, Rafael S. De ;
  • Krone-Martins, Alberto ;
  • Castro-Ginard, Alfred ;
  • Ishida, Emille E. O. ;
  • Povich, Matthew S. ;
  • Hillenbrand, Lynne A.
0 Citations0 Mentions69% FAIR1.5 Dataset Index
10.5281/zenodo.4462819January 2021

SPICY - The Spitzer/IRAC Candidate YSO Catalog for the Inner Galactic Midplane Stamp Album

We present an album with image stamps in the PNG and FITS formats of the environment of 120,000 Spitzer/IRAC candidate young stellar objects (YSOs). There is a total of 586238 images included in this dataset. The SPICY YSO candidates were selected based on surveys of the Galactic midplane between l255 deg and 110 deg, including the GLIMPSE I, II, and 3D, Vela-Carina, Cygnus X, and SMOG surveys, comprising 613 square degrees, augmented by near-infrared catalogs. We employed a classification scheme that uses the flexibility of a tailored statistical learning method and curated YSO datasets to take full advantage of IRAC's spatial resolution and sensitivity in the mid-infrared ~3-9 micron range. Most of the candidates are in regions with mid-IR nebulosity, associated with star-forming clouds, but others appear distributed in the field. Given that no current or planned instruments will significantly exceed IRAC's spatial resolution while possessing its wide-area mapping capabilities, Spitzer-based catalogs such as ours will remain the main resources for mid-infrared YSOs in the Galactic midplane for the near future. For more information about the catalog see https://arxiv.org/abs/2011.12961. The data in this album were used to produce the simple YSO environment classification in the aforementioned work, and they can be used to facilitate the study of the local environments around YSOs as well as to provide a curated dataset to promote further development of content-based information retrieval systems and of methods to classify and cluster images that are able to cope with challenging astronomical regions.

Authors

  • Kuhn, Michael A. ;
  • Souza, Rafael S. De ;
  • Krone-Martins, Alberto ;
  • Castro-Ginard, Alfred ;
  • Ishida, Emille E. O. ;
  • Povich, Matthew S. ;
  • Hillenbrand, Lynne A.
0 Citations0 Mentions69% FAIR0.9 Dataset Index
10.5281/zenodo.4462818January 2021