Marine protected areas (MPAs) can be highly effective tools for conserving habitats, populations, and sustainable fisheries. The National Park Service (NPS) is hosting a collaboration of researchers assessing effectiveness of MPA boundaries, species movements, and identifying gaps in protection for a wide range of shark, turtle, and reef fish species. Building upon our previous work, we're tagging queen conch to examine time spent in protected areas, migrations to open fishing areas, spawning grounds, and nursery habitats.

Detection data for Gulf sturgeon in the Suwannee River using a series of passive acoustic receivers. Data set includes receiver locations (river kilometer), detections, time periods, and individual transmitter ID.

To determine movements of green turtles in the nearshore foraging areas, we deployed acoustic tags and determined their movements through active and passive acoustic telemetry in San Diego Bay and the Long Beach area.

This is a fishery-independent survey that collects data on reef fish in southeast US waters using multiple gears, including chevron traps, video cameras, ROVs, longlines, and acoustics. This project is also collecting information on hardbottom habitats using video cameras, ROVs, and acoustics gears.

Overview The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of meeting CVPIA fish doubling goals. This data package contains three datasets for larval White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office. SJR_Larval_WST_Set Data: This dataset contains data on an experimental sampling program using boat-mounted drift nets (D-frame nets), a large drift net attached to a stationary pontoon (pontoon net), and otter trawls to catch larval White Sturgeon in the San Joaquin River. Sets were made at targeted locations from March-July in 2013, 2015, 2016, and 2017. A total of ten White Sturgeon were captured in 2016 and 11 in 2017, all with D-frame driftnets. SJR_Larval_WST_Catch Data: This dataset contains data for individual fish caught in the San Joaquin River. Species and fork length were recorded for most individuals. SJR_Fish_Taxonomy Data: This dataset contains data for fish codes used in the Catch datafile. For each species that was captured, the Species codes are listed with the corresponding Interagency Ecological Program code, common name, taxonomy (Phylum, Class, Order, Family, Genus, and Species), and whether or not the species is native to the region.

This record represents the individual vessel events detected from raw passive acoustic data. Events are identified from the long-term spectral average (LTSAs) created for each site with a 5 s, 48 kHz resolution. The LTSA is analyzed in blocks where the calibrated power spectral density estimates are averaged in user-defined low, medium and high frequency bands. These data were recorded at SanctSound Site PM02_02 between October 01, 2020 and July 10, 2021.

Overview The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of meeting CVPIA fish doubling goals. This data package contains three datasets for adult White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office. The primary purpose for this sampling was to capture White Sturgeon and implant acoustic telemetry tags for a tracking project. Therefore, the data are useful for determining when and where White Sturgeon were captured, but they should not be used to determine actual distribution or abundance. SJR_Adult_WST_Set contains data from a sampling program using various methods to catch adult White Sturgeon in the San Joaquin River. Sets were made at targeted locations primarily from March-May in 2012-2018 (other dates were occasionally sampled). SJR_Adult_WST_Catch contains data for individual fish caught via gillnets, trammel nets, setlines, or angling in the San Joaquin River. Species and fork length were recorded for all fish. For White Sturgeon, girth, maturation, tag, and surgery information are provided. SJR_Fish_Taxonomy contains data for fish codes used in the Catch datafile. For each species that was captured, the Species codes are listed with the corresponding Interagency Ecological Program code, common name, taxonomy (Phylum, Class, Order, Family, Genus, and Species), and whether or not the species is native to the region.

Cowcod are the primary species that have influenced groundfish regulations since 2001 in California waters. More progressive management approaches have been adopted during this time, and many rockfish species, including cowcod, now appear to be rebuilding. This rebuilding has recently translated into increased cowcod catches by both recreational and commercial fishers, and the use of descending devices has become a popular method for releasing these fish with as little harm as possible. However, post-release mortality of cowcod associated with the use of these descending devices is still unclear. We have tagged __ adult individuals using acoustic telemetry methods, and analyses of these movement data are currently underway. We will also tag juvenile and sub-adult cowcod in an effort to estimate size-dependent post-release mortality and movement patterns. This will give us a better understanding of the rebuilding status of the species, and how changes in fishing regulations might affect this rebuilding.

This record represents the individual vessel events detected from raw passive acoustic data. Events are identified from the long-term spectral average (LTSAs) created for each site with a 5 s, 48 kHz resolution. The LTSA is analyzed in blocks where the calibrated power spectral density estimates are averaged in user-defined low, medium and high frequency bands. These data were recorded at SanctSound Site HI04_02 between December 01, 2019 and May 11, 2020.

This record represents the individual vessel events detected from raw passive acoustic data. Events are identified from the long-term spectral average (LTSAs) created for each site with a 5 s, 48 kHz resolution. The LTSA is analyzed in blocks where the calibrated power spectral density estimates are averaged in user-defined low, medium and high frequency bands. These data were recorded at SanctSound Site PM01_02 between October 01, 2020 and July 09, 2021.