Geoswath data collected by Gavia Autonomous Underwater Vehicle from Liverpool Bay area during a RV Prince Madog cruise in June 2023

This dataset contains processed interferometric bathymetry and sidescan data from a GAVIA AUV (Autonomous Underwater Vehicle). GAVIA AUV geoswath data was collected from the Liverpool Bay area (Irish Sea) during a RV Prince Madog cruise in June 2023. Three days of survey took place on the 18th, 21st and 22nd of June 2023. The processing of the bathymetry data was done in Teledyne CARIS software (v11), with the HIPS toolkit, in order to produce gridded depth/elevation layers in CSAR/BAG format. Further processing of the data files was done in GIS (Geographic Information System) software to remove suspect depth data points, to give a 'NoTrees' output. The output format of the files from this was '.img', which is GIS ready. The sidescan output was processed in Chesapeake Technology software SonarWiz (v7) and has had EGN (Empirical Gain Normalization) applied (calculated from the day's sidescan output). The data has then been output as 8-bit grey scales in '.tif ' (GeoTiff) format. The resolution of bathymetry output is mainly 25cm (some resolutions are 50cm). The sidescan output is also mainly 25cm resolution (some resolutions are 10cm). The MarineTools toolbox, mentioned in the 'readme' file, is available on the National Oceanography Centre website under the AtlantiS (Atlantic Climate and Environment Strategic Science) project. These data were produced as part of the Natural Environment Research Council (NERC) funded project 'Ecological implications of accelerated seabed mobility around windfarms' (EcoWind-ACCELERATE), with grant number NE/X008886/1, by scientists from the National Oceanography Centre (NOC) and Scottish Association for Marine Science (SAMS).

本数据集包含经处理的干涉测深与侧扫声呐数据，采集自GAVIA型自主水下航行器（Autonomous Underwater Vehicle, AUV）。GAVIA AUV条带测深数据于2023年6月随RV Prince Madog科考航次在爱尔兰海利物浦湾海域采集完成，野外调查为期三天，分别为2023年6月18日、21日及22日。测深数据的处理工作依托Teledyne CARIS软件（v11）搭配HIPS工具包完成，以生成CSAR/BAG格式的网格化水深/高程图层。后续又在地理信息系统（Geographic Information System, GIS）软件中对数据文件开展进一步处理，剔除异常水深测点，得到“NoTrees”输出结果，该结果文件格式为“.img”，可直接用于GIS分析。侧扫声呐数据的处理使用Chesapeake Technology公司的SonarWiz软件（v7）完成，并应用了经验增益归一化（Empirical Gain Normalization, EGN）算法（基于当日侧扫数据计算所得），最终输出为8位灰度GeoTiff（.tif）格式文件。测深输出数据的空间分辨率主要为25厘米，部分测点数据分辨率为50厘米；侧扫输出数据的分辨率同样以25厘米为主，部分数据分辨率为10厘米。自述文件中提及的MarineTools工具箱可在英国国家海洋学中心官网的AtlantiS（大西洋气候与环境战略科学）项目页面获取。本数据集由英国国家海洋学中心（National Oceanography Centre, NOC）与苏格兰海洋科学协会（Scottish Association for Marine Science, SAMS）的科研人员完成，系自然环境研究委员会（Natural Environment Research Council, NERC）资助项目“风电场周边海底活动加剧的生态影响”（EcoWind-ACCELERATE）的产出数据，项目资助编号为NE/X008886/1。