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Best time series, taking the data from the most recent run available.

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Baseline surveys were conducted at numerous sites around each island, including those identified as "hotspots" by the Department of Aquatic Resources, around the islands of Hawaii, Maui, Molokai, Oahu and Kauai. A total of 72 sites with 13 in Kaneohe Bay, Oahu alone. Alien and/or invasive algal abundance were ranked on a scale of 0 to 10(0=0% cover, 10=100% cover) and includes habitat type (e.g.. sand, lava bench, coral, rock, artificial substrate) and pertinent environmental correlates (e.g. depth, proximity to shore) at each site where invasive species are encountered. Sites where alien species presence have been documented in the past were resurveyed.

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Twelve quadrats were sampled along 2 consecutively-placed, 25m transect lines, as part of Rapid Ecological Assessments, conducted at 3 sites at Sarigan in the Marianas Archipelago from 25 May - 09 June 2007, aboard the NOAA ship Hi'ialakai, during the Reef Assessment and Monitoring Program (RAMP) Cruise HI0703. Raw survey data included genus presence and relative abundance, and voucher specimens. Detailed taxonomic analyses of voucher specimens are presented.

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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A major challenge of the use of adaptive systems in safety-critical applications is the software life-cycle: requirement engineering through verification and validation. Adaptive systems incorporate learning to adapt the control system to the current operating conditions of the system, certifying their performance is a complex and tedious process. Ongoing effort in the development of tools for verification and validation of adaptive control systems, there is little research directed at the development of analytical methods. Learning rules for adaptive systems derivation using Lyapunov's second method, is based on the derivation of an energy-type function whose derivative must be negative to guarantee convergence therefore the asymptotic stability of the system. The first problem is that Lyapunov's second method provides a sufficient condition for stability thus the synthesis of an appropriate Lyapunov function for a particular application is a major challenge. The second problem in many applications, including the design of adaptive neural flight control systems, it is only possible to prove that the derivative of the Lyapunov function is non-positive, rather than being negative. For practical purpose, it is only possible to conclude that the control system errors are ultimately bounded, and it not possible to estimate the magnitude of these errors or the time it takes for these errors to converge to their steady-state limits. The objective of this research project is to develop analytical methods for the analysis of adaptive neural networks (ANN) based flight control systems including analytical estimates of the settling time and the steady-state magnitudes of the error dynamics. The magnitudes of the error bounds will be related to the performance handling qualities of the system and provide very important information about the performance of the closed-loop system.

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project (for additional information about Argo, see http://www.argo.ucsd.edu/ (last accessed October 2005)). Argo data archived by the US NODC on a weekly basis starting the second quarter of FY 2003, may include real-time and/or delayed-mode profiles of ocean temperature and salinity, as well as related conductivity and/or pressure measurements (if any), collected by Argo profiling floats.

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NGDC builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.

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CALIPSO Wide Field Camera Level 1A 1 km Registered Science data

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This dataset contains an ESRI Grid with 10 meter cell size representing the bathymetry of Grammanik Bank south of St. Thomas, US Virgin Islands.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Grid.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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MBT data were collected from the USS ENGAGE in support of the Fleet Observations of Oceanographic Data (FLOOD) project. Data were collected by US Navy; Ships of Opportunity from 01 December 1963 to 03 December 1963. The platform was equipped and staffed to observe weather and sea conditions. Data were processed by NODC to the NODC standard Universal Bathythermograph Output (UBT) format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/bt.html. The UBT file format is used for temperature-depth profile data obtained using the mechanical bathythermograph (MBT) instrument. The maximum depth of MBT observations is approximately 285 m. Therefore, MBT data are useful only in studying the thermal structure of the upper layers of the ocean. Cruise information, date, position, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Temperature data in this file are recorded at uniform 5 m depth intervals.

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Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) conductivity and temperature recorders provide a time series of conductivity and water temperature at coral reef sites. Data is typically collected at 1800 second intervals using a MicroCAT Model SBE37 (Seabird Electronics, Inc., www.seabird.com). Time series data combining multiple deployments from a given site may also be available. Please contact CRED with any questions. For program information see the web site http://www.pifsc.noaa.gov/cred/oceanography.php

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CALIPSO Infrared Imaging Radiometer emissivity and cloud particle data related to pixels colocated to the Lidar track

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This Comprehensive Conservation Plan CCP was written to guide management on Charles M. Russell NWR and UL Bend NWR for the next 15 years. This plan outlines the refuges vision and purpose and describes how Charles M. Russell NWR and UL Bend NWR will contribute to the overall mission of the Refuge System. The plan provides an introduction to the refuges, an overview of the CCP process, alternatives, the affected environment, and environmental consequences. Key planning issues include: habitat and wildlife, water resources, public use, wilderness, socioeconomics, partnerships, and cultural resources.