Beginning with the 2017 sands, the column P_J has been removed. The columns P_RECOIL, P_RECGAS, P_RECBOE, J_RECOIL, J_RECGAS, and J_RECBOE have been combined and renamed to Original Oil, Original Gas, and Original BOE, replacing the former DISCOIL, DISCGAS, DISCBOE columns. The columns P_CUMOIL, P_CUMGAS, and P_CUMBOE have been renamed Cum Oil, Cum Gas, and Cum BOE. The columns P_REMOIL, P_REMGAS, and P_REMBOE have been renamed Oil Reserves, Gas Reserves, and BOE Reserves. These changes were made in order to more closely align with the Estimated Oil and Gas Report. Estimated Oil and Gas Report 2018: https://www.boem.gov/BOEM-2021-052/ . As of 2017, two additional columns, LAT and LONG have been included to provide the bottomhole _location of the discovery well for each sand. In order to align with BOEM�s current biostratigraphic chart, the Plio-Pleistocene boundary was adjusted, as well as some units within the Paleogene. This change may be reflected in the chronozone designation of some sands. Within a downloadable geodatabase file, an ArcGIS feature dataset for well _location has been provided. A brief workflow for accessing this GIS feature dataset has been included in the zipped file.
GIS-based database for high resolution bottom mapping, sediments, and benthic fauna data in BOEM Wind Energy Areas
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Several bureaus within the Department of Interior compiled available information from seabird observation datasets from the Atlantic Outer Continental Shelf into a single database, with the goal of conducting research and informing coastal and offshore planning activities. The cooperators were the Bureau of Ocean Energy Management's (BOEM) Environmental Studies Program (http://www.boem.gov/Environmental-Stewardship/Environmental-Studies/Environmental-Studies.aspx), the U.S. Fish and Wildlife Service's (USFWS) Division of Migratory Bird Management (http://www.fws.gov/migratorybirds/) and the U.S. Geological Survey's (USGS) Patuxent Wildlife Research Center (http://www.pwrc.usgs.gov). The resulting product is the Atlantic Offshore Seabird Dataset Catalog, which characterizes the survey effort and bird observations that have been collected across space and time. As of December 2013, the database contains over 70 datasets from 1906-2013 with about 300,000 records of seabird observations. Data were initially provided as summary web mapping services, with web feature services (for downloading and looking at single-species data) at the linkage given elsewhere in this document. A full archive of the scientific data is available at the National Oceanic and Atmospheric Administration (NOAA) National Oceanographic Data Center (NODC). The data archived at NODC is comprised of roughly 50 datasets from 1938-2013 with about 260,000 observation records. This archive is a subset of the main database, excluding datasets from surveys where the scientific design was not specifically designed to sample marine birds (e.g. coastal portions of National Audubon Society's Christmas Bird Counts).
Several bureaus within the Department of Interior compiled available information from seabird observation datasets from the Atlantic Outer Continental Shelf into a single database, with the goal of conducting research and informing coastal and offshore planning activities. The cooperators were the Bureau of Ocean Energy Management's (BOEM) Environmental Studies Program (www.boem.gov/Environmental-Stewardship/Environmental-Studies/Environmental-Studies.aspx), the U.S. Fish and Wildlife Service's (USFWS) Division of Migratory Bird Management (www.fws.gov/migratorybirds/) and the U.S. Geological Survey's (USGS) Patuxent Wildlife Research Center (www.pwrc.usgs.gov). The resulting product is the Atlantic Offshore Seabird Dataset Catalog, which characterizes the survey effort and bird observations that have been collected across space and time. As of December 2013, the database contains over 70 datasets from 1906-2013 with about 300,000 records of seabird observations.
The data archived at NODC is comprised of roughly 50 datasets from 1938-2013 with about 260,000 observation records. This archive is a subset of the main database, excluding datasets from surveys where the scientific design was not specifically designed to sample marine birds (e.g. coastal portions of National Audubon Society's Christmas Bird Counts).
The full archive of scientific data contains information on individual observations as well as survey effort. Each observation record has a unique point location, date and time, species and observation count. There may also be biological information related to the sighting, such as animal age or behavior. The survey effort information (i.e. weather variables) may have been recorded for each individual observation but was more often recorded at the transect (line along which the plane or boat traveled) level. The dataset contains data primarily for seabirds, but some other observations accompanied bird data submissions and were not discarded: marine mammals, turtles, fish, and non-biological sightings such as other boats, fishing gear and trash.
The data archived at the NODC is in .csv format, with an associated file detailing the data structure in .csv format. A detailed metadata record in Federal Geographic Data Committee (FGDC) format and a final report in .pdf format is included with these data. Data use must take into account use constraints (data limitations) listed within the included metadata record, and cite the Atlantic Offshore Seabird Dataset Catalog, USGS, 2013.
California sea lions (Zalophus californianus) and Pacific harbor seals (Phoca vitulina) use offshore oil and gas platforms as resting and foraging areas. Both species are protected by the Marine Mammal Protection Act (1972). The Bureau of Ocean Energy Management (BOEM) is required to collect information from platforms being used by California sea lions and harbor seals (or other pinniped species) with the goal of meeting environmental review and permitting requirements associated with the eventual decommissioning of offshore platforms. Decommissioning requirements are under the jurisdiction of BOEMs sister agency, the Bureau of Safety and Environmental Enforcement (BSEE). However, BOEM provides environmental studies and environmental review support for BSEE actions. To accomplish this goal, BOEM entered an inter-agency agreement with the National Marine Mammal Laboratories' California Current Ecosystem Program (CCEP; AFSC/NOAA) in 2012. Specifically, BOEM funded CCEP to conduct a study (from January 2012 to January 2015) to characterize and quantify California sea lion and Pacific harbor seal use of the platforms, including; abundance, seasonal use patterns, and age and sex class composition of animals on the platforms. Inter- (i.e. spatial) and intra- (i.e. temporal) platform comparisons were examined.
Timeseries data from 'Teller (Imiq: 14859)' (imiq_14859_boem_ncdc_teller) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=,,satellite@gina.alaska.edu,,,feedback@axiomdatascience.com contributor_name=North Slope Science Initiative (NSSI),US Fish and Wildlife Service (US FWS),Geographic Information Network of Alaska (GINA),Arctic Landscape Conservation Cooperative (Arctic LCC, defunded 2019),Bureau of Ocean Energy Management (BOEM),Axiom Data Science contributor_role=sponsor,sponsor,contributor,sponsor,funder,processor contributor_role_vocabulary=NERC contributor_url=https://northslopescience.org/,https://www.fws.gov/,https://gina.alaska.edu/,https://lccnetwork.org/lcc/arctic,https://www.boem.gov/,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=wind_speed_qc_agg,air_temperature,z,wind_speed,time,wind_from_direction,air_temperature_qc_agg,wind_from_direction_qc_agg&time>=max(time)-3days Easternmost_Easting=-166.35 featureType=TimeSeries geospatial_lat_max=65.233 geospatial_lat_min=65.233 geospatial_lat_units=degrees_north geospatial_lon_max=-166.35 geospatial_lon_min=-166.35 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Imiq - Hydroclimate Database and Data Portal at id=113767 infoUrl=https://sensors.ioos.us/#metadata/113767/station institution=NOAA National Climatic Data Center (NCDC) naming_authority=com.axiomdatascience Northernmost_Northing=65.233 platform=fixed platform_name=Teller (Imiq: 14859) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://www.ncdc.noaa.gov/,, sourceUrl=https://www.ncdc.noaa.gov/ Southernmost_Northing=65.233 standard_name_vocabulary=CF Standard Name Table v72 station_id=113767 time_coverage_end=2009-12-31T23:00:00Z time_coverage_start=2009-02-01T01:00:00Z Westernmost_Easting=-166.35
The data acquisition had two main elements: 1) a deep drifter study employing RAFOS floats and sound sources, which provided Lagrangian drifter tracks at 1500 and 2500 m nominal depth in the Gulf of Mexico; and 2) a profiling float study employing APEX floats, similar to the US Argo program, where CTD profiles are obtained at regularly spaced time intervals from freely drifting floats. The APEX profiling floats were additionally equipped with WetLabs optical sensors that measured chlorophyll, particle backscatter, and colored dissolved organic mater (CDOM) through the water column from the surface to 1500 m, and RAFOS acoustic receivers. The latter were used to monitor the four sound sources, and provide additional trajectories at 1500 m (the rest depth of the floats). The program was supported with remote sensing (sea-surface temperature and ocean color), and altimetry for mapping sea surface height (remote sensing data is not included on the DVD).
This study was designed to provide baseline knowledge of seafloor geology and invertebrate distributions at a regional scale by undertaking new mapping, synthesizing existing mapping data, conducting biological assessments, and developing new predictive models. This data set (macrofaunal abundances) provides a baseline distribution of these species that are likely to be most directly affected by offshore renewable energy installations.
Six sites were visited across northern California (2 sites), Oregon (3 sites) and Washington (1 site) during summer 2010 and collected 118 macrofaunal samples using a 0.1 m2 box-corer. Two additional sites were sampled (34 additional grabs) during the summer of 2012 to fill in latitudinal and habitat gaps. Sediment samples were sieved using 1 mm mesh and all macrofaunal organisms were identified and counted after a sub-sample was removed for particle size analysis. CTD casts were conducted to obtain physical data from the water column overlying the sites for further habitat characterization at each box core sampling station. This data set contains physical data (water properties and sediment characteristics) at 152 sampling stations across the 8 sites sampled in 2010 and 2012.
The state of Hawai‘i is working to develop local renewable energy sources to reduce its dependence on fossil fuels. Most of the State’s potential renewable energy resources (notably, wind) are located in federal waters from 3 to 200 nm offshore. The Bureau of Ocean Energy Management (BOEM) regulates the leasing, construction and operation of renewable energy projects in federal waters, and is required to evaluate potential human, coastal and marine impacts from these projects. BOEM partnered with the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) to gather biogeographic information in support of this evaluation around the Main Hawaiian Islands (MHI). The complexity of products from this assessment range from simple animal distribution maps to mathematical models depicting the predicted distributions of animals. Biogeographic analyses and data products were specifically tailored to meet BOEM’s needs, and designed to fit within BOEM’s framework of offshore lease blocks.
This biogeographic assessment addresses three main questions: (1) how are select species or taxonomic groups distributed spatially and temporally around the MHI?; (2) what environmental conditions influence these distributions?; and (3) what significant gaps exist in our knowledge about the biogeography of the area? To answer these questions, readily-available spatial information was compiled and synthesized, including information on the physical and biological environment, benthic habitats, fishes, sea turtles, marine mammals, and seabirds. The assessment focused on federal waters and taxa that were: (1) more likely to interact with renewable energy infrastructure, (2) culturally significant, (3) legally protected, and/or (4) economically valuable. Collaborations with local managers, scientists, and experts from a variety of federal, state, academic and non-governmental organizations were crucial. These partners contributed their data, time and expertise, and many were contributing coauthors on the final report.
The biogeography of the MHI is shaped by atmospheric and oceanographic conditions that operate at different temporal and spatial scales around the islands. Marine animals respond to these changing conditions in different ways. Some taxonomic groups and species use the same locations year round (e.g., on Penguin Bank or offshore of the Kona Coast, Hawaiʻi), while most taxa utilize different geographic areas at different times of the year. Understanding these spatial and temporal patterns is critical for marine spatial planning efforts. For some taxa, this marine biogeographic assessment marks the first time that their space-use patterns were mapped or modeled in the MHI, and the associated data compilation made available online. It establishes a baseline for assessing potential impacts, a guide for monitoring change, a roadmap for prioritizing how to fill data gaps, and a framework for integrating ocean research and management efforts moving forward.
This archive includes the following geospatial datasets:
Introduction (Background):
1.Boundaries – Marine Managed Areas, De Facto Marine Managed Areas, Marine Managed Areas and Regulations, Project Area, Shoreline, Federal Waters, State Waters 2.Elevation – Elevation, Elevation (Standard Deviation) 3.Raster Navigational Charts – 00540, 19004, 19010, 19013, 19320, 19340, 19380
Environmental Setting:
Atmosphere – Wind Direction (Summer/Winter Circular Mean); Wind Divergence (Summer/Winter Mean); Wind Speed (Summer/Winter Mean & Standard Deviation); Wind Speed in the East-West Direction(Summer/Winter Mean & Standard Deviation); Wind Speed in the North-South Direction (Summer/Winter Mean & Standard Deviation)
Biological Oceanography - Chlorophyll-a Concentrations (Summer/Winter Mean & Standard Deviation); Chlorophyll-a Front Frequency (Summer/Winter Mean); Chlorophyll-a Front Persistence (Summer/Winter Mean); Chlorophyll-a Front Strength (Summer/Winter Mean), NPP-Net Primary Productivity (Summer/Winter Mean) 3.Distance – Seamounts (100 to 2,750 m deep); Seamounts (100 to 4,500 m deep); Shelf Edge; Shoreline; Distance to Seamounts (100 to 2,750 m deep); Distance to Seamounts (100 to 4,500 m deep); Distance to Shelf Edge; Distance to Shoreline
Physical Oceanography - a. Water Clarity: Euphotic Depth (Summer/Winter Mean); Turbidity at 547 nm (Summer/Winter Mean & Standard Deviation) b. Water Height: Sea Surface Height Maps of Absolute Dynamic Topography (Summer/Winter Mean & Standard Deviation) c. Water Movement: Bottom Current Direction (Annual Circular Mean); Bottom Current Speed (Annual Mean & Standard Deviation); Bottom Current Speed in the East-West Direction (Annual Mean); Bottom Current Speed in the North-South Direction (Annual Mean); Mixed Layer Depth (Summer/Winter Mean); Probability of Ant... Visit https://dataone.org/datasets/%7B9725066D-0866-4997-B922-C1FE37CBC7A4%7D for complete metadata about this dataset.
Timeseries data from 'Harrison Bay Met Buoy (HB02, 48212)' (harrison-bay-met-buoy-hb02-48212) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=None,,webmaster.ndbc@noaa.gov,,sldanielson@alaska.edu,uaf.web@alaska.edu,,feedback@axiomdatascience.com contributor_name=Shell,Bureau of Ocean Energy Management (BOEM),NOAA National Data Buoy Center (NDBC),World Meteorological Organization (WMO),UAF College of Fisheries and Ocean Sciences,University Of Alaska Fairbanks (UAF),RPS Evans-Hamilton,Axiom Data Science contributor_role=sponsor,sponsor,contributor,contributor,contributor,contributor,collaborator,processor contributor_role_vocabulary=NERC contributor_url=http://www.shell.com/,https://www.boem.gov/,https://www.ndbc.noaa.gov/,https://wmo.int/,https://www.uaf.edu/cfos/,http://www.uaf.edu/,https://www.rpsgroup.com/,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=air_temperature,solar_irradiance,sea_water_temperature_surface,northward_wind,z,time,relative_humidity,eastward_wind,air_pressure&time>=max(time)-3days Easternmost_Easting=-150.279 featureType=TimeSeries geospatial_lat_max=70.874 geospatial_lat_min=70.874 geospatial_lat_units=degrees_north geospatial_lon_max=-150.279 geospatial_lon_min=-150.279 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Bureau of Ocean Energy Management (BOEM) at id=128544 infoUrl=https://sensors.ioos.us/#metadata/128544/station institution=Olgoonik Fairweather, LLC naming_authority=com.axiomdatascience Northernmost_Northing=70.874 platform=buoy platform_name=Harrison Bay Met Buoy (HB02, 48212) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://www.olgoonik.com/,,https://www.ndbc.noaa.gov/station_page.php?station=48212, sourceUrl=https://www.olgoonik.com/ Southernmost_Northing=70.874 standard_name_vocabulary=CF Standard Name Table v72 station_id=128544 time_coverage_end=2013-10-03T19:00:00Z time_coverage_start=2012-08-22T02:00:00Z Westernmost_Easting=-150.279 wmo_platform_code=48212
Several bureaus within the Department of Interior compiled available information from seabird observation datasets from the Atlantic Outer Continental Shelf into a single database, with the goal of conducting research and informing coastal and offshore planning activities. The cooperators were the Bureau of Ocean Energy Management's (BOEM) Environmental Studies Program (http://www.boem.gov/Environmental-Stewardship/Environmental-Studies/Environmental-Studies.aspx), the U.S. Fish and Wildlife Service's (USFWS) Division of Migratory Bird Management (http://www.fws.gov/migratorybirds/) and the U.S. Geological Survey's (USGS) Patuxent Wildlife Research Center (http://www.pwrc.usgs.gov). The resulting product is the Atlantic Offshore Seabird Dataset Catalog, which characterizes the survey effort and bird observations that have been collected across space and time. As of December 2013, the database contains over 70 datasets from 1906-2013 with about 300,000 records of seabird observations. Data were initially provided as summary web mapping services, with web feature services (for downloading and looking at single-species data) at the linkage given elsewhere in this document. A full archive of the scientific data is available at the National Oceanographic and Atmospheric Administration (NOAA) National Oceanographic Data Center (NODC). The data archived at NODC is comprised of roughly 50 datasets from 1938-2013 with about 260,000 observation records. This archive is a subset of the main database, excluding datasets from surveys where the scientific design was not specifically designed to sample marine birds (e.g. coastal portions of National Audubon Society's Christmas Bird Counts).
Timeseries data from 'Kobuk (Imiq: 14893)' (imiq_14893_boem_ncdc_snow_kobuk) _NCProperties=version=2,netcdf=4.7.4,hdf5=1.10.6 cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=,,,satellite@gina.alaska.edu,,feedback@axiomdatascience.com contributor_name=North Slope Science Initiative (NSSI),US Fish and Wildlife Service (US FWS),Arctic Landscape Conservation Cooperative (Arctic LCC, defunded 2019),Geographic Information Network of Alaska (GINA),Bureau of Ocean Energy Management (BOEM),Axiom Data Science contributor_role=sponsor,sponsor,sponsor,contributor,funder,processor contributor_role_vocabulary=NERC contributor_url=https://northslopescience.org/,https://www.fws.gov/,https://lccnetwork.org/lcc/arctic,https://gina.alaska.edu/,https://www.boem.gov/,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3 defaultDataQuery=z,time,surface_snow_thickness_qc_agg,surface_snow_thickness&time>=max(time)-3days Easternmost_Easting=-156.867 featureType=TimeSeries geospatial_lat_max=66.9 geospatial_lat_min=66.9 geospatial_lat_units=degrees_north geospatial_lon_max=-156.867 geospatial_lon_min=-156.867 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Imiq - Hydroclimate Database and Data Portal at id=113801 infoUrl=https://sensors.ioos.us/#metadata/113801/station institution=NOAA National Climatic Data Center (NCDC) naming_authority=com.axiomdatascience Northernmost_Northing=66.9 platform=fixed platform_name=Kobuk (Imiq: 14893) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://www.ncdc.noaa.gov/,, sourceUrl=https://www.ncdc.noaa.gov/ Southernmost_Northing=66.9 standard_name_vocabulary=CF Standard Name Table v72 station_id=113801 time_coverage_end=1980-01-01T03:00:00Z time_coverage_start=1979-01-02T03:00:00Z Westernmost_Easting=-156.867
Timeseries data from 'Sachs_Harbour (Imiq: 14853)' (imiq_14853_boem_ncdc_sachs_harbo) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=,satellite@gina.alaska.edu,,,,feedback@axiomdatascience.com contributor_name=Arctic Landscape Conservation Cooperative (Arctic LCC, defunded 2019),Geographic Information Network of Alaska (GINA),US Fish and Wildlife Service (US FWS),Bureau of Ocean Energy Management (BOEM),North Slope Science Initiative (NSSI),Axiom Data Science contributor_role=sponsor,contributor,sponsor,funder,sponsor,processor contributor_role_vocabulary=NERC contributor_url=https://lccnetwork.org/lcc/arctic,https://gina.alaska.edu/,https://www.fws.gov/,https://www.boem.gov/,https://northslopescience.org/,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=wind_speed_qc_agg,air_temperature,z,wind_speed,time,surface_snow_thickness_qc_agg,surface_snow_thickness,wind_from_direction,air_temperature_qc_agg,wind_from_direction_qc_agg&time>=max(time)-3days Easternmost_Easting=-125.267 featureType=TimeSeries geospatial_lat_max=72.0 geospatial_lat_min=72.0 geospatial_lat_units=degrees_north geospatial_lon_max=-125.267 geospatial_lon_min=-125.267 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Imiq - Hydroclimate Database and Data Portal at id=113761 infoUrl=https://sensors.ioos.us/#metadata/113761/station institution=NOAA National Climatic Data Center (NCDC) naming_authority=com.axiomdatascience Northernmost_Northing=72.0 platform=fixed platform_name=Sachs_Harbour (Imiq: 14853) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://www.ncdc.noaa.gov/,, sourceUrl=https://www.ncdc.noaa.gov/ Southernmost_Northing=72.0 standard_name_vocabulary=CF Standard Name Table v72 station_id=113761 time_coverage_end=2009-12-31T23:00:00Z time_coverage_start=1979-01-01T00:00:00Z Westernmost_Easting=-125.267
Timeseries data from 'Fairbanks_19N (Imiq: 14887)' (imiq_14887_boem_ncdc_snow_fairba) _NCProperties=version=2,netcdf=4.7.4,hdf5=1.10.6 cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=,,satellite@gina.alaska.edu,,,feedback@axiomdatascience.com contributor_name=US Fish and Wildlife Service (US FWS),Arctic Landscape Conservation Cooperative (Arctic LCC, defunded 2019),Geographic Information Network of Alaska (GINA),Bureau of Ocean Energy Management (BOEM),North Slope Science Initiative (NSSI),Axiom Data Science contributor_role=sponsor,sponsor,contributor,funder,sponsor,processor contributor_role_vocabulary=NERC contributor_url=https://www.fws.gov/,https://lccnetwork.org/lcc/arctic,https://gina.alaska.edu/,https://www.boem.gov/,https://northslopescience.org/,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3 defaultDataQuery=z,time,surface_snow_thickness_qc_agg,surface_snow_thickness&time>=max(time)-3days Easternmost_Easting=-147.683 featureType=TimeSeries geospatial_lat_max=65.117 geospatial_lat_min=65.117 geospatial_lat_units=degrees_north geospatial_lon_max=-147.683 geospatial_lon_min=-147.683 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Imiq - Hydroclimate Database and Data Portal at id=113795 infoUrl=https://sensors.ioos.us/#metadata/113795/station institution=NOAA National Climatic Data Center (NCDC) naming_authority=com.axiomdatascience Northernmost_Northing=65.117 platform=fixed platform_name=Fairbanks_19N (Imiq: 14887) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://www.ncdc.noaa.gov/,, sourceUrl=https://www.ncdc.noaa.gov/ Southernmost_Northing=65.117 standard_name_vocabulary=CF Standard Name Table v72 station_id=113795 time_coverage_end=2001-03-31T17:00:00Z time_coverage_start=2000-05-01T17:00:00Z Westernmost_Easting=-147.683
Timeseries data from 'Seven_Mile (Imiq: 14911)' (imiq_14911_boem_ncdc_snow_seven_) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=,,satellite@gina.alaska.edu,,,feedback@axiomdatascience.com contributor_name=US Fish and Wildlife Service (US FWS),Bureau of Ocean Energy Management (BOEM),Geographic Information Network of Alaska (GINA),North Slope Science Initiative (NSSI),Arctic Landscape Conservation Cooperative (Arctic LCC, defunded 2019),Axiom Data Science contributor_role=sponsor,funder,contributor,sponsor,sponsor,processor contributor_role_vocabulary=NERC contributor_url=https://www.fws.gov/,https://www.boem.gov/,https://gina.alaska.edu/,https://northslopescience.org/,https://lccnetwork.org/lcc/arctic,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=z,time,surface_snow_thickness_qc_agg,surface_snow_thickness&time>=max(time)-3days Easternmost_Easting=-149.85 featureType=TimeSeries geospatial_lat_max=65.933 geospatial_lat_min=65.933 geospatial_lat_units=degrees_north geospatial_lon_max=-149.85 geospatial_lon_min=-149.85 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Imiq - Hydroclimate Database and Data Portal at id=113819 infoUrl=https://sensors.ioos.us/#metadata/113819/station institution=NOAA National Climatic Data Center (NCDC) naming_authority=com.axiomdatascience Northernmost_Northing=65.933 platform=fixed platform_name=Seven_Mile (Imiq: 14911) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://www.ncdc.noaa.gov/,, sourceUrl=https://www.ncdc.noaa.gov/ Southernmost_Northing=65.933 standard_name_vocabulary=CF Standard Name Table v72 station_id=113819 time_coverage_end=2007-04-01T09:00:00Z time_coverage_start=2007-03-02T09:00:00Z Westernmost_Easting=-149.85
Timeseries data from 'Tin_City (Imiq: 14861)' (imiq_14861_boem_ncdc_tin_city) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=satellite@gina.alaska.edu,,,,,feedback@axiomdatascience.com contributor_name=Geographic Information Network of Alaska (GINA),Arctic Landscape Conservation Cooperative (Arctic LCC, defunded 2019),North Slope Science Initiative (NSSI),US Fish and Wildlife Service (US FWS),Bureau of Ocean Energy Management (BOEM),Axiom Data Science contributor_role=contributor,sponsor,sponsor,sponsor,funder,processor contributor_role_vocabulary=NERC contributor_url=https://gina.alaska.edu/,https://lccnetwork.org/lcc/arctic,https://northslopescience.org/,https://www.fws.gov/,https://www.boem.gov/,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=wind_speed_qc_agg,air_temperature,z,wind_speed,time,surface_snow_thickness_qc_agg,surface_snow_thickness,wind_from_direction,air_temperature_qc_agg,wind_from_direction_qc_agg&time>=max(time)-3days Easternmost_Easting=-167.917 featureType=TimeSeries geospatial_lat_max=65.567 geospatial_lat_min=65.567 geospatial_lat_units=degrees_north geospatial_lon_max=-167.917 geospatial_lon_min=-167.917 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Imiq - Hydroclimate Database and Data Portal at id=113769 infoUrl=https://sensors.ioos.us/#metadata/113769/station institution=NOAA National Climatic Data Center (NCDC) naming_authority=com.axiomdatascience Northernmost_Northing=65.567 platform=fixed platform_name=Tin_City (Imiq: 14861) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://www.ncdc.noaa.gov/,, sourceUrl=https://www.ncdc.noaa.gov/ Southernmost_Northing=65.567 standard_name_vocabulary=CF Standard Name Table v72 station_id=113769 time_coverage_end=2009-12-31T23:00:00Z time_coverage_start=1979-01-01T00:00:00Z Westernmost_Easting=-167.917
Through collaboration between NOAA’s National Centers for Coastal Ocean Science (NCCOS) and the National Marine Fisheries Service’s (NMFS) West Coast Region (WCR) and Northwest Fisheries Science Centers (NWFSC), data layers were developed regarding habitat for inclusion in the spatial model developed by NCCOS for BOEM’s OR Call Areas and proposed Wind Energy Area (WEA) designation. This combined data layer was developed using the best available data sets to represent the suitability of the habitat in the Call Areas. Five habitat types were selected and include: essential fish habitat conservation areas (EFHCA), rocky reef groundfish habitat areas of particular concern (mapped and probable), deep-sea coral habitat suitability, continental shelf break, and methane bubble streams. NMFS provided a high-level overview of the data layers and documentation for the basis of their recommendations provided to NCCOS to be considered by BOEM for inclusion in the suitability analysis. Click here for a complete description of NMFS’ habitat data recommendations and methodologies utilized in combined layer development. Disclaimer for NMFS’ Role in NCCOS Offshore Wind Spatial Planning Work for BOEM: NCCOS is providing BOEM with technical assistance to support BOEM’s spatial planning in relation to offshore wind projects. This support is being provided with funding resources from NCCOS and through reimbursable support from BOEM to NCCOS. NMFS is providing technical assistance to NCCOS regarding available science (i.e. data layers and modeling methods) for BOEM’s consideration in their spatial modeling efforts. These efforts are supporting BOEM's ocean and coastal planning activities related to siting of call areas, wind energy areas, and transmission cable routing. The information provided by NMFS to NCCOS is purely technical in nature and does not reflect or constitute an official agency policy, position, or action. Official NMFS positions related to spatial planning for offshore wind activity will be submitted by NMFS through written comments to BOEM during the planning and review processes for each activity.
Timeseries data from 'Fort Good Hope' (boem_ahmd_fort_good_hope) cdm_altitude_proxy=z cdm_data_type=TimeSeriesProfile cdm_profile_variables=time cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=lwe_thickness_of_precipitation_amount_cm_time_sum_over_6_hour,air_temperature,air_pressure_at_mean_sea_level,z,wind_speed,time,relative_humidity,surface_snow_thickness,wind_from_direction,air_pressure,dew_point_temperature&time>=max(time)-3days Easternmost_Easting=-128.65 featureType=TimeSeriesProfile geospatial_lat_max=66.233 geospatial_lat_min=66.233 geospatial_lat_units=degrees_north geospatial_lon_max=-128.65 geospatial_lon_min=-128.65 geospatial_lon_units=degrees_east geospatial_vertical_max=2.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from BOEM Arctic Historical Meteorological Database at id=127236 infoUrl=https://sensors.ioos.us/#metadata/127236/station institution=NOAA National Climatic Data Center (NCDC) naming_authority=com.axiomdatascience Northernmost_Northing=66.233 platform=fixed platform_name=Fort Good Hope platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://www.ncdc.noaa.gov/,, sourceUrl=https://www.ncdc.noaa.gov/ Southernmost_Northing=66.233 standard_name_vocabulary=CF Standard Name Table v72 station_id=127236 time_coverage_end=2009-12-31T23:00:00Z time_coverage_start=1979-01-01T16:00:00Z Westernmost_Easting=-128.65
The Northeastern Gulf of Mexico Physical Oceanography Program (NEGOM) is supported by the Minerals Management Service (MMS) of the U.S. Department of the Interior. Through a contract between MMS and the Texas A&M Research Foundation, several components of the Texas A&M University System are conducting the Chemical Oceanography and Hydrography study of NEGOM (NEGOM-COH). This report covers activities from October 1997 through June 1998. Data were collected from hydrographic and acoustic Doppler current profiler (ADCP) surveys conducted in the Gulf of Mexico over the continental shelf and upper slope between the Mississippi delta and Tampa Bay in water depths of 10 to 1000 m. Additionally, historical and concurrent data from other programs in this region were collected. Two hydrographic/ADCP surveys, N1 and N2, were conducted with 94 and 98 hydrographic sampling stations and with 80 and 97 expendable bathythermograph stations on respective cruises. Each survey also included continuous ADCP measurements along the cruise track. At each hydrographic sampling station continuous profiles were made of conductivity, temperature, pressure, downwelling irradiance, fluorescence, and light transmission. Up to twelve water samples were taken at each station and analyzed for dissolved oxygen and six nutrients: nitrate, nitrite, phosphate, silicate, ammonium, and urea. At 51 stations on cruise N1 and 61 on N2, water samples were filtered and analyzed for phytoplankton pigments at the surface and from the chlorophyll maximum and the low light regime immediately below it. Pigments were determined using high performance liquid chromatography. At 60 stations on each cruise, water samples were filtered and analyzed for particulate matter concentrations at surface, middle, and bottom water depths and for particulate organic carbon concentrations at surface and bottom water depths. Bottle salinity was measured at every station on the first cruise and at the shallowest and deepest stations on each cross-shelf line on the second. The instrumentation as well as calibration and sampling procedures are described in this report. The collected data were subjected to stringent quality assurance/quality control procedures. cdm_data_type=Profile cdm_profile_variables=profile, pressure, depth, temperature, potentialTemperature, conductivity, salinity, sigmat, descentRate, transmission, par, parv, fluorescence, backscattering comment00=message00 : The following are lines from the original file comment01=message01 : $NEGOM: 14-Feb-2002 Final Modification comment02=message02 : $NEGOM: Backscatterance wild-points removed (interpolated) or flagged. comment03=message03 : ******************************************************************* comment04=message04 : ** The Northeastern Gulf of Mexico Physical Oceanography Program ** comment05=message05 : ** Chemical Oceanography and Hydrography Study ** comment06=message06 : ** ** comment07=message07 : ** Sponsored by: U.S. Minerals Management Service ** comment08=message08 : ** Contract number OCS 1435-01-97-CT-30851 ** comment09=message09 : ** ** comment10=message10 : ** Conducted by: Dept. of Oceanography, Texas A&M University ** comment11=message11 : ** ** comment12=message12 : ** Archived by; ** comment13=message13 : ** ** comment14=message14 : ** The National Oceanographic Data Center (NODC) ** comment15=message15 : ** NODC Project Code 0412 ** comment16=message16 : ** ** comment17=message17 : ** For questions regarding these data please contact: ** comment18=message18 : ** Dr. Matthew K. Howard ** comment19=message19 : ** Department of Oceanography, Texas A&M University ** comment20=message20 : ** College Station, TX 77843-3146 ** comment21=message21 : ** (979)-862-4169 (voice), email: mkhoward@tamu.edu ** comment22=message22 : ******************************************************************* comment23=message23 : ********************************************************** comment24=message24 : * Column 1: Pressure (decibars) comment25=message25 : * Column 2: Depth (salt water) (meters) comment26=message26 : * Column 3: Temperature (deg C) ITS-90 comment27=message27 : * Column 4: Potential temperature (deg C) comment28=message28 : * Column 5: Conductivity (S/m) comment29=message29 : * Column 6: Salinity (PSS-78 psu) comment30=message30 : * Column 7: Sigma-theta (kg/m^3) comment31=message31 : * Column 8: Oxygen current (microamps) comment32=message32 : * Column 9: Oxyyen temperature (deg C) comment33=message33 : * Column 10: Instrument package descent rate dz/dt (m/s) comment34=message34 : * Column 11: Transmission (percent) comment35=message35 : * Column 12: Transmission (volts) comment36=message36 : * Column 13: Irradiance (PAR) (microEinsteins/m^2/sec) comment37=message37 : * Column 14: Irradiance (PAR) (volts) comment38=message38 : * Column 15: Relative fluorescence (volts) comment39=message39 : * Column 16: Relative Backscatterance (volts) comment40=message40 : ********************************************************** comment41=message41 : * Press Depth Temp PoTemp Cond Sal Sig-Th O2-Cur O2Temp dz/dt %Tran Tran-V PAR PAR-V FL-V OBS-V comment42=message42 : END contributor_email=wnowlin@tamu.edu, ajochens@tamu.edu, d-biggs@tamu.edu, guinasso@tamu.edu, mkhoward@tamu.edu, m-kennicutt@tamu.edu, contributor_institution=Texas A&M University contributor_name=Worth D. Nowlin,Jr., Ann E. Jochens, Douglas Biggs, Norman L. Guinasso,Jr., Matthew K. Howard, M.C. Kennicutt II, Robert O. Reid contributor_phone=,+1-979-862-4168,,+1-979-458-9327, +1-979-862-4169,, contributor_role=Professor, Research Schientist, Professor, Research Schientist, Research Schientist, Professor, Professor contributor_type=person Conventions=CF-1.6, ACDD-1.3, COARDS Country=USA date_last_modified=2020-01-30 12:12:45 defaultGraphQuery=temperature,depth,profile&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff&.yRange=%7C%7Cfalse Easternmost_Easting=-88.90119934082031 featureType=Profile geospatial_lat_max=28.660600662231445 geospatial_lat_min=28.660600662231445 geospatial_lat_units=degrees_north geospatial_lon_max=-88.90119934082031 geospatial_lon_min=-88.90119934082031 geospatial_lon_units=degrees_east geospatial_vertical_max=991.5 geospatial_vertical_min=3.0 geospatial_vertical_positive=down geospatial_vertical_resolution=0.5 geospatial_vertical_units=m getspatial_lat_max=28.6606 grid_mapping_epsg_code=EPSG:4326 grid_mapping_inverse_flattening=298.257223563 grid_mapping_longitude_of_prime_meridian=0.0 grid_mapping_name=latitude_longitude grid_mapping_semi_major_axis=6378137.0 id=n8l01s0 infoUrl=http://ocean.tamu.edu//people/researchpersonnel/stosselmarion, https://ocean.tamu.edu//people/researchpersonnel/howardmatthewk institution=OCEAN.TAMU instrument=ADCP, CTD, bottle, current profiler-expendable(XBT) keywords_vocabulary=GCMD Science Keywords message01=*********************************************************************************************************** message02=*********************************************************************************************************** metadata_link=unknown Northernmost_Northing=28.660600662231445 platform=R/V GYRE processing_level=Geophysical units from raw data program=Northeastern Gulf of Mexico Chemical Oceanography and Hydrography Study (NEGOM). references=Reports: https://www.boem.gov/ESPIS/3/3253.pdf, https://www.boem.gov/ESPIS/3/3209.pdf, https://www.boem.gov/ESPIS/3/3184.pdf. sea_name=Gulf of Mexico sourceUrl=(local files) Southernmost_Northing=28.660600662231445 standard_name_vocabulary=CF Standard Name Table v29 subsetVariables=pressure, depth, temperature, potentialTemperature, conductivity, salinity, sigmat, descentRate, transmission, par, parv, fluorescence, backscattering time_coverage_end=2000-04-25T00:53:00Z time_coverage_start=2000-04-25T00:53:00Z Westernmost_Easting=-88.90119934082031
Several bureaus within the Department of Interior compiled available information from seabird observation datasets from the Atlantic Outer Continental Shelf into a single database, with the goal of conducting research and informing coastal and offshore planning activities. The cooperators were the Bureau of Ocean Energy Management's (BOEM) Environmental Studies Program (http://www.boem.gov/Environmental-Stewardship/Environmental-Studies/Environmental-Studies.aspx), the U.S. Fish and Wildlife Service's (USFWS) Division of Migratory Bird Management (http://www.fws.gov/migratorybirds/) and the U.S. Geological Survey's (USGS) Patuxent Wildlife Research Center (http://www.pwrc.usgs.gov). The resulting product is the Atlantic Offshore Seabird Dataset Catalog, which characterizes the survey effort and bird observations that have been collected across space and time. As of December 2013, the database contains over 70 datasets from 1906-2013 with about 300,000 records of seabird observations. Data were initially provided as summary web mapping services, with web feature services (for downloading and looking at single-species data) at the linkage given elsewhere in this document. A full archive of the scientific data is available at the National Oceanographic and Atmospheric Administration (NOAA) National Oceanographic Data Center (NODC). The data archived at NODC is comprised of roughly 50 datasets from 1938-2013 with about 260,000 observation records. This archive is a subset of the main database, excluding datasets from surveys where the scientific design was not specifically designed to sample marine birds (e.g. coastal portions of National Audubon Society's Christmas Bird Counts).
Beginning with the 2017 sands, the column P_J has been removed. The columns P_RECOIL, P_RECGAS, P_RECBOE, J_RECOIL, J_RECGAS, and J_RECBOE have been combined and renamed to Original Oil, Original Gas, and Original BOE, replacing the former DISCOIL, DISCGAS, DISCBOE columns. The columns P_CUMOIL, P_CUMGAS, and P_CUMBOE have been renamed Cum Oil, Cum Gas, and Cum BOE. The columns P_REMOIL, P_REMGAS, and P_REMBOE have been renamed Oil Reserves, Gas Reserves, and BOE Reserves. These changes were made in order to more closely align with the Estimated Oil and Gas Report. Estimated Oil and Gas Report 2018: https://www.boem.gov/BOEM-2021-052/ . As of 2017, two additional columns, LAT and LONG have been included to provide the bottomhole _location of the discovery well for each sand. In order to align with BOEM�s current biostratigraphic chart, the Plio-Pleistocene boundary was adjusted, as well as some units within the Paleogene. This change may be reflected in the chronozone designation of some sands. Within a downloadable geodatabase file, an ArcGIS feature dataset for well _location has been provided. A brief workflow for accessing this GIS feature dataset has been included in the zipped file.