https://www.gbifchina.org.cn/resource?r=guangxi-beihai-weizhou Dr Ying Qiao Fourth Institute of Oceanography, Ministry of Natural Resources

Beihai Guangxi 536000 CN

qiaoying@4io.org.cn Dr Xiaowan Ma Fourth Institute of Oceanography, Ministry of Natural Resources

Beihai Guangxi 536000 CN

maxiaowan@4io.org.cn Zhi peng Zhang School of Marine Science, Guangxi university

Nanning Guangxi 530004 CN

271419607@qq.com Yunfan Huang School of Marine Science, Guangxi university

Nanning Guangxi 530004 CN

18077663312@163.com 2025-10-20 eng Occurrence dataset from the 2023 fish distribution survey in waters near Weizhou Island. This dataset comprises a total of 28 orders, 47 families, and 113 fish species. Occurrence; Observation; Classification Guangxi China GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml Occurrence; Observation; Classification Guangxi China GBIF Dataset Subtype Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_subtype.xml This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License. Creative Commons Attribution Non Commercial 4.0 International https://spdx.org/licenses/CC-BY-NC-4.0.html CC-BY-NC-4.0 The waters around Weizhou Island, Beihai City, Guangxi Autonomous Region, China. The scope of the survey is: 21.02 N and 21.08 N Latitude; 109.08 E and 109.15 E Longitude. 109.083 109.151 21.078 21.018 2023-08-12 2023-08-15 This dataset encompasses fish species within the waters of Weizhou Island, comprising 28 orders, 47 families, and 113 species of fish. family Opistognathidae family Sciaenidae family Muraenesocidae order Osmeriformes order Gobiiformes family Regalecidae family Holocentridae family Siganidae family Bregmacerotidae order Elopiformes family Haemulidae order Kurtiformes order Ephippiformes order Labriformes family Mugilidae family Poecilopsettidae order Gadiformes family Terapontidae family Pempheridae family Sphyraenidae order Syngnathiformes family Carangidae order Beloniformes family Nemipteridae family Myctophidae order Blenniiformes kingdom Animalia order Perciformes family Tripterygiidae family Ephippidae family Apogonidae family Sebastidae family Cynoglossidae family Hemiramphidae family Gobiidae family Pomacentridae family Atherinidae order Lutjaniformes order Tetraodontiformes order Spariformes family Monacanthidae family Sillaginidae order Holocentriformes family Clupeidae phylum Chordata family Platycephalidae class Actinopteri order Chaetodontiformes family Ambassidae family Mullidae family Sparidae family Serranidae family Exocoetidae family Pinguipedidae family Engraulidae family Labridae family Chaetodontidae family Pseudochromidae order Acanthuriformes family Lethrinidae family Blenniidae family Bothidae family Leiognathidae order Centrarchiformes order Carangiformes order Mugiliformes order Anguilliformes family Lutjanidae order Atheriniformes order Lampriformes order Uranoscopiformes family Osmeridae order Pleuronectiformes order Clupeiformes family Chirocentridae family Elopidae order Acropomatiformes order Myctophiformes This research was financially supported by the Ministry of Science and Technology of the People's Republic of China (Grant Number: 2023YFD2402600) and the Science & Technology Fundamental Resources Investigation Program (Grant Number: 2023FY100800). asNeeded Dr Ying Qiao Fourth Institute of Oceanography, Ministry of Natural Resources

Beihai Guangxi 536000 CN

qiaoying@4io.org.cn Dr Xiaowan Ma Fourth Institute of Oceanography, Ministry of Natural Resources

Beihai Guangxi 536000 CN

maxiaowan@4io.org.cn Yunfan Huang School of Marine Science, Guangxi university

Nanning Guangxi 530004 CN

18077663312@163.com Zhi peng Zhang School of Marine Science, Guangxi university

Nanning Guangxi 530004 CN

271419607@qq.com 1. Collect water samples from eight sampling sites in Weizhou Island waters, with three replicates per site, and photograph field habitats. 2. Extract eDNA, then perform PCR amplification, quantitative PCR, and sequencing. 3. Organize the obtained data and input them into Excel. 4. Conduct preliminary species identification and literature review. 5. To obtain species classification information for each ASV sequence, perform taxonomic analysis of ASV representative sequences using the BLASTn method based on the NCBI database. Compile community composition statistics for each sample at all taxonomic levels: domain, kingdom, phylum, class, order, family, genus, and species. 6. Organize the final data and record the analysis results. The study area is located in the waters near Weizhou Island, Guangxi. To be more specific, the scope of the survey is: 21.02 N and 21.08 N Latitude; 109.08 E and 109.15 E Longitude. Water samples were collected from eight sampling sites in the waters near Weizhou Island through field sampling. Following environmental DNA extraction, PCR amplification and quantitative fluorescence analysis were performed sequentially, followed by sequencing. After sequencing, taxonomic analysis of ASV representative sequences was conducted using the blastn alignment method. Species information for all fish near Weizhou Island was compiled based on the NCBI database and FishBase database. Purified PCR products were quantified using a Qubit® 3.0 Fluorometer (Life Technologies, Invitrogen). Twenty-four amplicons with distinct barcodes were pooled in equimolar ratios. The pooled DNA was used to construct an Illumina paired-end library following the manufacturer’s genomic DNA library preparation protocol. The amplicon library was then paired-end sequenced (2 × 250 bp) on an Illumina MiSeq platform following standard protocols. Raw sequencing reads were deposited in the NCBI Sequence Read Archive (SRA) under accession number PRJNA1287299. Ying Qiao Yunfan Huang Zhi peng Zhang Yunfan Huang This research was financially supported by the Ministry of Science and Technology of the People's Republic of China (Grant Number: 2023YFD2402600) and the Science & Technology Fundamental Resources Investigation Program (Grant Number: 2023FY100800). 2025-10-12T22:22:56.453+08:00 dataset Qiao Y, Ma X, Zhang Z P, Huang Y (2025). Occurrence dataset from the Fish Survey in the Waters off Weizhou Island, Guangxi, China. Version 1.1. Chinese Academy of Sciences (CAS). Occurrence dataset. https://www.gbifchina.org.cn/resource?r=guangxi-beihai-weizhou&v=1.1 https://www.gbifchina.org.cn/resource?id=guangxi-beihai-weizhou/v1.1.xml