The dataset contains the data from the field deployment of the Unobtrusive Multi-static Serial LiDAR Imager (UMSLI) system at PNNL-Sequim test site in 2017. The dataset contains scanning of manmade models of baracuda and turtles as well as technical target placed in the field of view of 6 sets of LiDAR transmitter and receiver pairs. In addition, the system also operated to capture any marine life may come within the field of view. This included several encounters of Harbor Seal. In total, about 5TB of LiDAR data was recorded. UMSLI is a LiDAR system uses lower power red (638nm, 180mW) laser that is invisible to the the marine animals. The red laser beams are scanned out of three bidirectional transmitters reflecting signals back to the receiver as it hits particles in the water, when a laser beam reflects as it hits marine life it is called a hard target. The main purpose of the system is to monitor MHK sites to detect and alert the site manager of any potential encounter between the energy generation equipment and protected marine life. This submission includes a data lake resource for the raw data and experiment video recordings, MATLAB scripts for data parsing and analysis, and a folder of project publications. For more information on the data, see the "Data Description" resource below. UMSLI is developed at Harbor Branch Oceanographic Institute at Florida Atlantic University under DOE funding (DE-EE0006787 and DE-EE0007828).