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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset for: Star Photometry for DECaLS and SDSS Images Based on Convolutional Neural Networks

Research datakeyboard_double_arrow_right Dataset 03 Aug 2023Publisher:Zenodo
Authors: Yang, Zechao; Liu, Meng; Yuan, Hao; Yude Bu; Zhenping Yi; Xiaoming Kong; Tianmin Wu; +1 Authors

doi: 10.5281/zenodo.8210183 , 10.5281/zenodo.8210182

Dataset for: Star Photometry for DECaLS and SDSS Images Based on Convolutional Neural Networks

Abstract

The dataset consists of two parts, the training dataset and the comparison dataset. The training dataset and the comparison dataset are each divided into three parts, namely the simulation dataset, the SDSS dataset and the DECaLs dataset. The simulation dataset is simulated by PhoSim software and the original size of the simulation data is 512x512 pixels. The SDSS dataset is from DR12 and the ObjId of the target as well as other parameters are given in the csv file.The DECaLs dataset is from DR9.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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