Images in Coral Reef Network WEB System, as a snapshot of fauna and flora around coral reefs in Ryukyu Islands
From 2003 to 2013, Global Oceanographic Data Center (GODAC) collected pictures of organisms around coral reefs in Ryukyu Islands from citizen divers and videos obtained in GODAC’s research operations using a small remotely-operated vehicle “Niraikanai 150”. These images were published through the web site Coral Reef Network WEB System ( As the images can become a snapshot to know a past fauna or flora in Ryukyu Island, we generated biological occurrence records from the images and its metadata such as locality information and organism’s vernacular name. Latitude and longitude in biological occurrence records were determined using gazetteers (Marine Regions, Google Earth). When additional sptial information was provided in metadata, we described it as in Well-known text representation. Scientific name of organisms in each image was determined based on the vernacular name (Japanese name) using the taxonomic database BISMaL ( In case of using specific literatures for identification, its bibliographic title was added in each record.
Japan Agency for Marine-Earth Science and Technology (2018) Images in Coral Reef Network WEB System, as a snapshot of fauna and flora around coral reefs in Ryukyu Islands at Accessed on yyyy-mm-dd.
Information on literature which is important for understanding data, such as literature which became the basis of the data set, is displayed.
Data Research and Development GroupResource Contact, Resource Creator, Metadata Provider, Owner
Organization: Japan Agency for Marine-Earth Science and Technology, Global Oceanographic Data CenterPhone: +81-980-50-0111Address: 224-3 Toyohara Nago Okinawa 905-2172 JapanHome Page: Email:
Datasets and providers
Occurrence records
Occurrence records →
Number of record
Record acquisition period
2002/10/29 ~ 2013/06/18
* Date last modified : 2022/03/19
Record acquisition range
24.3047435 ~ 27.042604
124.0425091 ~ 128.432407
0 ~ 79 m
[Registered taxon]
Number of taxonomy
Number of specimen
Taxon level lower than family :89 %
Taxon level lower than species :68 %
Scientific name list
Displayed result/page
Occurrence record download


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