Coral geochemistry time series from Kahekili, west Maui
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Geochemical analysis (including stable boron, boron:calcium ratio, and carbon and oxygen isotopes) were measured from coral cores collected in July 2013 from the shallow reef at Kahekili in Kaanapali, west Maui, Hawaii from scleractinian Porites lobata.
Olowalu chronology and geochemistry time-series, West Maui
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Chronology and time-series geochemistry data of a coral core collected from Olowalu, West Maui, Hawaii. The chronology is based on density banding, radiocarbon bomb-curve, and uranium thorium dating techniques. The geochemistry time-series data contains major and minor elements over the length of the coral life span, as measured from laser ablation inductively coupled mass spectrometry (LA-ICP-MS).
Time-series oceanographic data from the National Park of American Samoa, Tutuila, American Samoa, 2015
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Time-series data of water surface elevation, wave height, and water column currents, temperature, and salinity were acquired for 150 days between 13 April and 14 July 2015 off the north coast of the island of Tutuila, American Samoa in support of a study on the coastal circulation patterns within and in the vicinity of the National Park of American Samoa.
Time-series oceanographic data from the National Park of American Samoa, Tutuila, American Samoa, 2015
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Time-series data of water surface elevation, wave height, and water column currents, temperature, and salinity were acquired for 150 days between 13 April and 14 July 2015 off the north coast of the island of Tutuila, American Samoa in support of a study on the coastal circulation patterns within and in the vicinity of the National Park of American Samoa.
Coral growth parameters, Kahekili, west Maui
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Surface runoff and submarine groundwater discharge in particular are known vectors to the coastal ocean of elevated nutrients and contaminants leading to eutrophication, algal overgrowth, and coral disease. Freshwater discharging directly from submarine groundwater vents off of Kahekili Beach Park, Kaanapali, in West Maui contains elevated nutrient concentrations and lower pH values. Coral cores were collected in July 2013 from the shallow reef at Kahekili in Kaanapali, West Maui, Hawaii from scleractinian Porites lobata to specifically addresses the relationship between coral reef health and compounding stressors from contaminated submarine groundwater discharge.
Coral growth parameters, Kahekili, west Maui
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Surface runoff and submarine groundwater discharge in particular are known vectors to the coastal ocean of elevated nutrients and contaminants leading to eutrophication, algal overgrowth, and coral disease. Freshwater discharging directly from submarine groundwater vents off of Kahekili Beach Park, Kaanapali, in West Maui contains elevated nutrient concentrations and lower pH values. Coral cores were collected in July 2013 from the shallow reef at Kahekili in Kaanapali, West Maui, Hawaii from scleractinian Porites lobata to specifically addresses the relationship between coral reef health and compounding stressors from contaminated submarine groundwater discharge.
Coastal turbidity on the shelf of American Samoa - monitoring turbid water sources and fates by satellite - Pago Pago harbor reefs, Tutuila (PGSP6), 2002 to 2017 (NCEI Accession 0204271)
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Relative turbidity, bathymetry, and environmental correlates (modeled wave height) for insular shelf of American Samoa- from 2002 to 2017 - Pago Pago Harbor region of interest (PGSP6) including Fagaʻalu, south central coast of Tutuila Island. Data are in gridded netCDF binary format - Hierarchical Data Format (version 5), "NETCDF4 CLASSIC_MODEL".
CRED Rapid Ecological Assessment Reef Fish Survey at Tutuila, American Samoa in 2012
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To support a long-term NOAA Coral Reef Conservation Program (CRCP) for sustainable management and conservation of coral reef ecosystems, from 20120401 to 20120426 and from 20120227 to 20120325, reef fish assessment surveys were conducted, as a part of Rapid Ecological Assessments (REA), during the Pacific Reef Assessment and Monitoring Program (RAMP) Cruise HA1201 in the American Samoa region by the Coral Reef Ecosystem Division (CRED) at the NOAA Pacific Islands Fisheries Science Center (PIFSC). During the cruise, 158 REA sites were surveyed at Tutuila in the American Samoa region. At each REA site, fish biologists entered the water and conducted a fine-scale (~700 m^2) and high degree of taxonomic resolution REA survey to assess and monitor species diversity, size distribution, and abundance of fish in shallow-water hard-bottom (less than 30 m) habitats. Reef fish assessment surveys were focused on cataloging the diversity (species richness), abundance (numeric density) and biomass (fish mass per unit area) of diurnally active reef fish assemblages. The stationary point count (SPC) method was used to quantify reef fish species. Two divers lay out a 30 m transect line, and position themselves at the 7.5 and 22.5 meter marks. The SPC biologist then records estimated size and abundance of all fish within a visually estimated 15-m diameter cylinder centered on the stationary diver (7.5-m radius, total area ~ 177m^2 per cylinder). The diver first spends 5 minutes identifying all fish species in the cylindrical area, then proceeds to count and estimate size (total length) for each in a series of "instantaneous" point counts or sweeps of the cylinder. Fish were identified at the species level, wherever possible. All reef-associated fish, including those in the water column, were surveyed. The survey time for each stationary point count survey was approximately 20 min and generally four stationary point count surveys (two per diver) were conducted at each fish REA site. After completing REA surveys, divers noted the presence, at the survey site, of any unusual fish species not counted during SPC counts, in order to facilitate species lists per location.
Turbidity (Kd490) Long-term Mean, 1998-2018 - American Samoa
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Spectrally resolved water-leaving radiances (ocean color) and inferred chlorophyll concentration are key to studying phytoplankton dynamics at seasonal and inter-annual scales, for a better understanding of the role of phytoplankton in marine biogeochemistry; the global carbon cycle; and the response of marine ecosystems to climate variability, change, and feedback processes. Ocean color data also have a critical role in operational observation systems monitoring coastal eutrophication, harmful algal blooms, and sediment plumes. The contiguous ocean color record reached 21 years in 2018. However, it is comprised of a number of one-off missions such that creating a consistent time series of ocean color data requires merging of the individual sensors without introducing artifacts. The diffuse attenuation coefficient at 490 nm (Kd490) indicates the turbidity of the water column: i.e., how well visible light in the blue to green region of the spectrum penetrates the water column. The value of Kd490 represents the rate at which light at 490 nm is attenuated with depth. For example, a Kd490 of 0.1 per meter means that light intensity is reduced by one natural log within 10 meters of water. Thus, for a Kd490 of 0.1, one attenuation length is 10 meters. Higher Kd490 values mean shallower attenuation depths and thus higher turbidity, or lower clarity, of ocean water. This layer represents the mean of the 8-day time series of Kd490 (m-1) from 1998-2018. Data products generated by the Ocean Colour component of the European Space Agency (ESA) Climate Change Initiative (CCI) project. These files are 8-day 4-km composites of merged sensor products: Global Area Coverage (GAC), Local Area Coverage (LAC), MEdium Resolution Imaging Spectrometer (MERIS), Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Ocean and Land Colour Instrument (OLCI), Sea-viewing Wide Field-of-view Sensor (SeaWiFS), and Visible Infrared Imaging Radiometer Suite (VIIRS). The long-term mean was calculated by taking the average of all 8-day data from 1998-2018 for each pixel. A quality control mask was applied to remove spurious data associated with shallow water, following Gove et al., 2013. Nearshore map pixels with no data were filled with values from the nearest neighboring valid offshore pixel by using a grid of points and the Near Analysis tool in ArcGIS then converting points to raster. Data source: https://oceanwatch.pifsc.noaa.gov/erddap/griddap/esa-cci-kd-8d-v5-0.graph