taxonID	type	format	identifier	references	title	description	created	creator	contributor	publisher	audience	source	license	rightsHolder	datasetID
7D5BA03CFFC49043FF5CF9AC5199FE11.taxon	http://purl.org/dc/dcmitype/StillImage	image/png	https://zenodo.org/record/5533631/files/figure.png	https://doi.org/10.5281/zenodo.5533631	FIGURE 1. Tubastraea megacorallita. sp. nov. A: A living specimen in the field; B: Skeleton of a specimen with tissues removed (TMBC030850); C: a corallite (TMBC030853); D: Fossa (TMBC030853); E: Costae (c) and Intercostal striae (i.s.) (TMBC030853). Scale bar: A–B: 1 cm; C: 5 mm; D–E: 1 mm.	FIGURE 1. Tubastraea megacorallita. sp. nov. A: A living specimen in the field; B: Skeleton of a specimen with tissues removed (TMBC030850); C: a corallite (TMBC030853); D: Fossa (TMBC030853); E: Costae (c) and Intercostal striae (i.s.) (TMBC030853). Scale bar: A–B: 1 cm; C: 5 mm; D–E: 1 mm.	2021-09-28	Yiu, Sam King Fung;Chung, Sheena Suet-Wah;Qiu, Jian-Wen		Zenodo	biologists	Yiu, Sam King Fung;Chung, Sheena Suet-Wah;Qiu, Jian-Wen			
7D5BA03CFFC49043FF5CF9AC5199FE11.taxon	http://purl.org/dc/dcmitype/StillImage	image/png	https://zenodo.org/record/5533633/files/figure.png	https://doi.org/10.5281/zenodo.5533633	FIGURE 2. Phylogenetic trees of the concatenated COI/IGR/rDNA sequence dataset constructed using the Maximum Likelihood (left) and Bayesian Inference (right) method. Maximum Likelihood bootstrap values>50 and Bayesian Inference posterior probability values> 0.7 are shown in the nodes. Specimens used in this study are denoted by an asterisk.	FIGURE 2. Phylogenetic trees of the concatenated COI/IGR/rDNA sequence dataset constructed using the Maximum Likelihood (left) and Bayesian Inference (right) method. Maximum Likelihood bootstrap values>50 and Bayesian Inference posterior probability values> 0.7 are shown in the nodes. Specimens used in this study are denoted by an asterisk.	2021-09-28	Yiu, Sam King Fung;Chung, Sheena Suet-Wah;Qiu, Jian-Wen		Zenodo	biologists	Yiu, Sam King Fung;Chung, Sheena Suet-Wah;Qiu, Jian-Wen			
