The large-area stationary point count (SPC) method is used to conduct reef fish surveys in the Hawaiian and Mariana Archipelagos, American Samoa, and the Pacific Remote Island Areas as part of NOAA's Pacific Reef Assessment and Monitoring Program (Pacific RAMP). Raw survey data includes metadata for each survey (where, when, who, area); site characteristics (depth, reef type); individual reef fish observations identified to the lowest taxonomic level possible (usually species) including size, count, and observation type; and parameters needed to calculate biomass and density.

To support a long-term program for sustainable management and conservation of coral reef ecosystems, from 2008, Autonomous Reef Monitoring Structures (ARMS) have been deployed and/or recovered across the U.S. on Pacific Reef Assessment and Monitoring Program (Pacific RAMP) cruises conducted at two to three year intervals by the Coral Reef Ecosystem Program (CREP) at the NOAA Pacific Islands Fisheries Science Center (PIFSC).

Water temperature data are collected using subsurface temperature recorders (STRs) that aid in the monitoring of seawater temperature variability at permanent coral reef sites in the Hawaiian and Mariana Archipelagos, American Samoa, and the Pacific Remote Island Areas as part of the NOAA Pacific Reef Assessment and Monitoring Program (Pacific RAMP). High-accuracy temperature loggers made by SeaBird Electronics (SBE) are deployed on the reef for a period of 3 years at depths ranging from 0 to 30 meters along depth transects at Ocean and Climate Change monitoring survey sites.

The stationary point count (nSPC) method is used to conduct reef fish surveys in the Hawaiian and Mariana Archipelagos, American Samoa, and the Pacific Remote Island Areas as part of NOAA's Pacific Reef Assessment and Monitoring Program (Pacific RAMP).

This dataset includes chemical, meteorological, physical time series data collected from BOBOA_90E_15N deployments in the Bay of Bengal, Indian Ocean from 2013-11-24 to 2018-11-20.

Historic black and white aerial photographs of coastal Alabama (Mobile Bay and adjacent waters) from 1940, 1955, and 1966 were digitized and georeferenced using Blue Marble Geographic Transformer version 5.1. Outlines of distinguishable submerged aquatic vegetation (SAV) signatures in the aerial photography were digitized in a GIS environment, supplemented by visual examination of the photographic prints. ESRI polygon coverage of SAV beds was created in ArcView version 3.2.

This dataset contains oceanographic data collected in Pago Pago, American Samoa.

Highly detailed maps of benthic habitats within the lagoon along the western shore of Saipan were created by NOAA NCCOS. This data collection includes the information used to create these detailed maps, including: 1) a high resolution satellite image, 2) depths derived from this satellite image, 3) in situ habitat information, 4) 12 predictions describing the probability of occurrence for five substrate and seven biological cover types, and 5) a composite habitat map showing the spatial distribution of seven commonly co-occurring substrate and biological cover types inside the lagoon.

Sampling of in situ seawater, macroalgae, macrocrustaceans and associated fauna (cruise GoMRI-II, November 15-17 2012, stns 1-18, data available for all) aboard the R/V Pelican cruise id PE13-14 was targeted to repeat sampling of previously studied hard banks and adjacent deep waters west of the mouth of the Mississippi River and extending east to offshore Alabama, an area encompassing roughly 27°58'N to 29°26'N and 87°34'W to 91°01'W. Submitted metadata are ADCP, CTD, Marks and Cruise Track Data.

The Mobile Bay National Estuary Program (MBNEP) contracted Barry A. Vittor and Associates, Inc. to conduct digital aerial image surveys of submerged aquatic vegetation (SAV) in and around Mobile Bay, Alabama in 2002. Two data sets were the result: digital vector data from imagery collected during summer 2002, and GPS field points data collected between July 2002 and April 2003 to groundtruth the imagery.