BRUVS (TM) - Fish and Benthic survey of Myrmidon Reef and Bowling Green Bay 2001-09-01 to 2001-09-06
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下载链接:
https://researchdata.edu.au/bruvs-tm-fish-09-06/691209
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资源简介:
The dataset comprises 1311 individuals from 33 species of fishes, sharks, rays and sea snakes observed at around Myrmidon Reef and Bowling Green Bay using 3 baited remote underwater video stations (BRUVS(TM)). 79 images were captured from these cameras.
Approximately 3500 of the best images from all BRUVS (TM) projects are stored in a reference library.
Data recorded concern:
- classification of the habitat in the field of view (topography, sediments, benthos)
- the identity of fish and CAABCODES
- their time of arrival
- their behaviour (8 categories, including feeding on the bait)
- their maturity (adult or juvenile)
- their relative abundance (as MaxN = the maximum number visible at one time, or distinguishable at different times as separate individuals e.g. much larger/smaller, male/female)
- the time elapsed before MaxN and feeding occurs.
A custom interface has been developed by AIMS staff, using Microsoft Access, for reading and analysis of BRUVS(TM) tapes.
本数据集涵盖在密米尔东礁(Myrmidon Reef)与鲍灵格林湾(Bowling Green Bay)周边,通过3台诱饵式远程水下视频站(Baited Remote Underwater Video Stations, BRUVS(TM))观测获得的33种鱼类、鲨鱼、鳐类及海蛇的1311个个体。上述摄像设备共采集得到79帧影像。
所有BRUVS(TM)项目中筛选出的约3500幅优质影像被存入参考影像库。
本次记录的数据包含以下维度:
- 视场内栖息地的分类(涵盖地形、沉积物、底栖生物)
- 鱼类的物种鉴定及CAAB编码(CAABCODES)
- 个体的抵达时间
- 行为模式(共8类,包含以诱饵为食的行为)
- 成熟度(分为成体与幼体两类)
- 相对丰度(以MaxN,即单次观测可见的最大个体数,或以不同时段可区分的独立个体数作为统计依据,例如体型差异显著、性别不同的个体)
- 达到MaxN及个体开始取食所耗费的时长。
澳大利亚海洋科学研究所(Australian Institute of Marine Science, AIMS)的工作人员使用Microsoft Access软件开发了一款定制化界面,用于读取与分析BRUVS(TM)的影像数据。
提供机构:
Australian Ocean Data Network



