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This data set contains quantities and values for all seafood products that are reported landed in St. Thomas, St. Croix or St. John, U.S. Virgin Islands. These data are reported by fishermen that are licensed by the Territorial Government and are required to complete and submit fishing logs for each trip. There have been several major changes in the reporting forms throughout the program history which affect the data. These are documented separately. These are raw data are not corrected for non-compliance with the reporting regulations unless otherwise specified.

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Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident.ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

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Water levels and water quality parameters recorded on Crane Creek. LOCATION: Lat. 41 12 14 W Long. 91 7 6 near Wapello, Iowa. Wapello County. Schafer Landing near Port Louisa National Wildlife Refuge. PERIOD OF RECORD: Datalogger installed November 2011. Regional Office data analysis starts 2012. GAGE SITE: Design Analysis data logger in a metal gage housing mounted to fence posts. Data logger is in communication with a KPSI transducer mounted to fence post in lakebottom. Instruments are powered by a 12V battery run to a solar panel, which is mounted to the antenna mast. Weekly gage data available online, NWS ID ODSI4. COOPERATION: Port Louisa National Wildlife Refuge and Iowa Department of Natural Resources.

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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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Inversion heights as measured using a Sodar by R.L. Coulter & M.L. Wesely

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NASA's Science Instruments, Observatories, and Sensor Systems Roadmap calls for instruments capable of in situ mineralogical analysis in support of planetary missions in the coming decades. Such instruments will provide capabilities for surveying and identifying minerals on and beneath planetary surfaces, guided by robotic vehicles. These instruments should be highly reliable and compact, be remotely operable and require minimal operating resources. To meet this challenge, the goal of the proposed Phase I program is to develop a combined Raman and infrared fiber optically coupled probe head that can be used for mineral analysis by providing a complete vibrational spectroscopic fingerprint for high quality in situ mineral identification that can be used in a variety of NASA platforms.For the Phase I work, the goal will be to prototype a dual excitation Raman/IR fiber optically coupled microscope probe head and demonstrate its utility in the analysis of minerals.The Phase I Work Plan includes: 1. Prototyping of an Integrated Raman/IR probe head 2. Performance Evaluation of the Integrated Raman/IR Probes 3. Acquisition of a preliminary Raman and IR database, in collaboration with Dr. Robert Downs director of the RRUFF mineralogy project at the University of Arizona

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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 12 July - 17 August 2003, marine invertebrate quantitative assessments were conducted, as part of Rapid Ecological Assessments (REA), during the Reef Assessment and Monitoring Program (RAMP) Cruise OES0306 in the NW Hawaiian Islands. Such cruises are conducted at biennial intervals by the Coral Reef Ecosystem Division (CRED) at the NOAA Pacific Islands Fisheries Science Center (PIFSC). At specific reef sites, marine invertebrate zoologists along with coral and algal biologists entered the water and conducted a fine-scale (~100 m2) and high degree of taxonomic resolution benthic REA survey for coral, algae, and key invertebrate species. Invertebrate surveys were focused on quantifying key non-coral invertebrate species common to the reef habitats, and were conducted using a combination of different survey techniques to quantify the diverse communities. These methods included belt-transect surveys, roving-swim surveys, and quadrat surveys. In belt-transect surveys, quantitative counts of key invertebrates were recorded along two consecutively-placed 25m long and 2m wide belt transects (total area = 100 m2). For any species that cannot be identified in the field, a photograph and a representative specimen, if possible, is collected for later identification. Roving-swim surveys were conducted in the general area with the goal to collect qualitative data for rare, larger, and cryptic organisms, such as Crown of Thorns Starfish and Triton's Trumpet snails which may not be seen during belt-transect surveys, and to survey any additional habitats present at the site, e.g. sand, sea grass, pavement, etc. This was accomplished by swimming a zig-zag pattern that extends roughly 5 m on either side of the two transect lines (total length = 500 m). Quadrat surveys were used to quantify the smaller, more cryptic invertebrates which were sometimes overlooked or too numerous to count during belt-transect surveys. Ten 0.25-m2 quadrats were laid out at 2-m intervals along two of the 25-m transects (total area = 5 m2). For each quadrat the percent cover of sponges, octocorals and zoanthids was recorded, as well as urchins, hermit crabs of the genus Calcinus, trapezid crabs, and coralliophilid snails. In addition, up to 25 cm diameters of all urchin species are measured. Based on data from previous REA surveys, a group of target invertebrate species was chosen for quantitative counts at 9 REA sites at Kure Atoll in the NW Hawaiian Islands. The species in the list were chosen because they have been shown to be common components of the reef habitats and they are species that are generally visible (i.e.; non-cryptic) and easily enumerated during the course of a single 50-60 minute SCUBA survey.

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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 March 2010)). 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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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.

Summary

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Description

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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Fault Management (FM) is critical to mission operations and particularly so for complex instruments – such as those used for aircraft and spacecraft. FM software and methodologies, however, too often have nagging limitations that restrict utility, and research and development continues to grapple relative to advancements in the complex systems they monitor. Modern spacecraft, for example, may have thousands of sensors and hundreds of systems/subsystems (and extensive cabling) but relatively few FM co-solutions. Theoretically, the overall FM challenge is in monitoring, modeling, and managing the huge numbers of signals and then determining how to detect them and set appropriate handling actions. For complex systems FM is not trivial, and automated FM is tasked with catching potential failure conditions within interconnected networks before consequences elevate. Ensuring fault coverage while maintaining system reliability under these circumstances is a daunting challenge for even the most capable team, and from anecdotal evidence, it is apparent that FM remains partly elusive. Our SBIR project herein involves the research and development of an innovative FM software solution called "DyMA-FM" (Dynamic Multivariate Assessment for Fault Management). As software, it uses model-based reasoning in a distributed processing environment for real-time detection and response to fault conditions. Building on the Phase I successes, in the course of this Phase II we will further develop the DyMA-FM concept as an innovative full prototype FM software application, having a tiered hierarchical architecture design leveraging advances in mathematical modeling. Thus, as per the intent of the Phase II, we believe we have a well-defined and innovative FM system capable of meeting the NASA requirements and representative thematic goals of: (1) verifiability, (2) transparency, and (3) fault coverage. Phase II, then, will allow us to advance the development further and fully.

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The flux and ancillary data collected at the SSA-OBS towerflux site by the TF-07 group.

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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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This Comprehensive Conservation Plan CCP was written to guide management on Big Branch Marsh NWR for the next 15 years. This plan outlines the Refuge vision and purpose and describes how Big Branch Marsh NWR will contribute to the overall mission of the Refuge System. The plan provides an introduction to the Refuge, an overview of the CCP process, plan development, the management direction, and strategies for plan implementation. Key planning issues include: wildlife habitat, habitat conservation, visitor services, and land protection.

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Bathythermograph data were collected from the TANEY within a 1-mile radius of Ocean Weather Station N (3000N 14000W) and in transit. Data were collected by the United States Coast Guard from 09 June 1963 to 22 June 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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Oceanographic station data were collected from the KLAMATH within a 1-mile radius of Ocean Weather Station N (3500N 04800W) and in transit. Data were collected by the United States Coast Guard (USCG) from 23 June 1968 to 13 July 1968. Data were processed by NODC to the NODC standard Station Data II Output Format (SD2). Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/sd2.html. The SD2 format contains physical-chemical oceanographic data recorded at discrete depth levels. Most of the observations were made using multi-bottle Nansen casts or other types of water samplers. A small amount (about 5 percent) were obtained using electronic CTD (conductivity-temperature-depth) or STD (salinity-temperature-depth) recorders. The CTD/STD data were reported to NODC at depth levels equivalent to Nansen cast data, however, and have been processed and stored the same as the Nansen data. Cruise information (e.g., ship, country, institution), position, date, and time, and reported for each station. The principal measured parameters and temperature and salinity , but dissolved oxygen, phosphate, total phosphorus, silicate, nitrate, nitrite, and pH may be reported. Meteorological conditions at the time of the cast (e.g., air temperature and pressure, wind, waves) may also be reported, as well as auxiliary data such as water color (Forel-Ule scale), water transparency (Secchi disk depth), and depth to bottom. Values of density (sigma-t) sound velocity, and dynamic depth anomaly are computed from measured parameters. Each station contains the measurements taken at the observed depth levels, but also includes data values interpolated to a set of standard depth levels.

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