PO.DAAC provides several ways to discover and access physical oceanography data, from the PO.DAAC Web Portal to FTP access to front-end user interfaces (see http://podaac.jpl.nasa.gov). That same data can also be discovered and accessed through PO.DAAC Web Services, enabling efficient machine-to-machine communication and data transfers.

PO.DAAC provides several ways to discover and access physical oceanography data, from the PO.DAAC Web Portal to FTP access to front-end user interfaces (see http://podaac.jpl.nasa.gov). That same data can also be discovered and accessed through PO.DAAC Web Services, enabling efficient machine-to-machine communication and data transfers. Granule metadata service Retrieves the metadata of a granule(s) in PO.DAAC's catalog.

PO.DAAC is an element of the Earth Observing System Data Information System (EOSDIS). PO.DAAC's primary responsibility is to provide distribution and archive support for NASA's physical oceanography missions such as TOPEX/Poseidon and SeaWinds on QuikSCAT. However, PO.DAAC additionally collaborates with other institutes to acquire complementary data products and value-added services.

Campaign: Advanced Very High Resolution Radiometer Oceans Pathfinder Sea Surface Temperature Data Sets (AVHRR Pathfinder SST v5) The 4 km AVHRR Pathfinder Version 5 SST Project (Pathfinder V5) is a new reanalysis of the AVHRR data stream developed by the University of Miami's Rosenstiel School of Marine and Atmospheric Science (RSMAS) and the NOAA National Oceanographic Data Center (NODC). In partnership with NODC and RSMAS is NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC), which has years of experience serving and developing earlier versions of the Pathfinder dataset. Currently in the third year of a three-year demonstration effort, it is hoped that this system can be implemented as an ongoing effort as part of a broader SST climate data record system. Provenance: local copy of the 4 km AVHRR Pathfinder Version 5 SST Monthly Means Data Set (daytime measurements) downloaded via FTP from: ftp://podaac.jpl.nasa.gov/pub/sea_surface_temperature/avhrr/pathfinder/data_v5/monthly/day/04km/. Files are located under WELLE.ZMAW.DE:/scratch/local3/u290022/DATA/SATELLITE/AVHRR/pathfinder/data_v5/monthly/day/04km/. The 4 km AVHRR Pathfinder Version 5 SST Project (Pathfinder V5) is a new reanalysis of the AVHRR data stream developed by the University of Miami's Rosenstiel School of Marine and Atmospheric Science (RSMAS) and the NOAA National Oceanographic Data Center (NODC). In partnership with NODC and RSMAS is NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC). Methods: this reprocessing uses an improved version of the Pathfinder algorithm and processing steps to produce twice-daily global SST and related parameters back to 1981, at a resolution of approximately 4 km, the highest possible for a global AVHRR data set. Temporal averages for 5-day, 7-day, 8-day, Monthly, and Yearly periods are also produced. Current key improvements over the original 9 km Pathfinder SST data set include a more accurate, consistent land mask, higher spatial resolution, and inclusion of sea ice information. Additional improvements including better flagging of aerosol-contaminated retrievals and the provision of wind and aerosol ancillary data will be implemented in a future Version 6 reprocessing. Additionally the parameters in version 5.0 are contained in separate files which are in the HDF-SDS (scientific data set) format, unlike version 4.1 which was in HDF-RASTER. The data can be accessed via the NODC, see http://www.nodc.noaa.gov/SatelliteData/pathfinder4km for more information regarding user guide, tools, available data, quality, etc. The data can also be accessed via NASA's PO.DAAC website, see: http://podaac.jpl.nasa.gov/PRODUCTS/p216.html

A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset (four day latency) and near-real-time dataset (one day latency) at the JPL Physical Oceanography DAAC (PO.DAAC) using wavelets as basis functions in an optimal interpolation approach on a global 0.01 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains additional variables for some granules including a SST anomaly derived from a MUR climatology and the temporal distance to the nearest IR measurement for each pixel.

This dataset is funded by the NASA MEaSUREs program (http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects), and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. Use the file global metadata "history:" attribute to determine if a granule is near-realtime or retrospective.

Reprocessed stress-equivalent 10m winds over the global oceans obtained from the ISS/RapidScat scatterometer on a 25 km swath grid. The complete data record from the Ku-band scatterometer RapidScat on the International Space Station (ISS) (3 October 2014 - 19 August 2016) has been reprocessed using the Pencil Beam Wind Processor (PenWP). ERA5 re-analysis winds from the European Centre for Medium-Range Weather Forecasts (ECMWF) have been used to initialise the ambiguity removal step in the wind processing and for validation and monitoring of the wind retrievals. The RapidScat level 1b data have been obtained from the NASA JPL Physical Oceanography Distributed Active Archive Center (PO.DAAC) web portal.

JPL Atlas of Monthly Mean Global Surface Ocean Variables (1987-1999 satellite data)

Description copied from: SMP site
Data access: via SMP Live Access Server

These climatologies are part of the Product Number 001 of the Multi-parameter data products made available from the NASA Jet Propulsion Laboratory Physical Oceanography Distributed Active Archive Center (PODAAC)

The Monthly Mean Global Surface Ocean Variables data set consists of monthly mean averages of global sea surface temperature, sea surface height, significant wave height, chlorophyll-a concentration, surface wind speed, surface wind velocity and near-surface current. These data sets are associated with a series of printed atlases by Halpern et al. (1991, 1992a, 1992b, 1993a, 1993b, 1994, 1995, 1998, 1999, 2000). Please note that the years over which the monthly averages were calculated and the distance between measurements differ for each data set.

see the full description at the SMP site: SMP site

Investigators
Dr. David Halpern, Principal Investigator, JPL
Dr. O. Brown, U of Miami
Dr. D. Dixon, Colorado College
Mr. W. Knauss, JPL
Dr. M. Freilich, Oregon State University
Dr. L. Fu, JPL
Ms. J. Newman, JPL
Mr. G. Pihos, JPL
Dr. F. Wentz, Remote Sensing Systems
Dr. V. Zlotnicki, JPL
Dr. G. Feldman, NASA GSFC

Date of Images:June 23, 2025; June 26, 2025; June 28, 2025Date of Next Image:UnknownSummary:The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology created maps of surface water extent in a region of eastern/central New Mexico impacted by floods between June 20-28, 2025 using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) product.The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who wanted to have a rough first look at the inundation extent. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind. Use at your own risk.OPERA DSWx-HLSThe OPERA DSWx-HLS was used to identify surface water for three distinct dates (June 23, 2025; June 26, 2025; June 28, 2025) during a period of flooding in eastern and central New Mexico. The images provided are a mosaic of OPERA DSWx-HLS products from 9 individual granules, producing a composite image for each date. The mosaicking applied prioritized pixels classified as open surface water to preserve water pixels in region of product granule overlap. The images are provided as GeoTIFF files.Suggested UseBinary Water (BWTR) Layer Description: The binary water layer is derived from the WTR layer as a union of water classes (open water and partial surface water) into a binary map indicating areas with and without water. This layer is meant to provide users with a quick view for water/no-water. Invalid data classes (snow/ice, cloud/cloud shadow along with adjacent to cloud/cloud shadow, ocean masked, and fill value) are also provided to indicate areas in which the binary classification does not provide water/no-water classification.Binary Water (BWTR) Layer Values:0: Not Water - an area with valid reflectance data that is not water (class 1) and not snow/ice (class 252), cloud/cloud shadow (class 253), or ocean masked (class 254) (suggested color: #ffffff)1: Water - an area classified as "open water" or "partial surface water" (suggested color: #0000ff)252: Snow/Ice - an area identified as snow/ice according to input HLS Fmask quality assurance (QA) data (suggested color: #00ffff)253: Cloud/Cloud Shadow - an area identified as cloud or cloud shadow or adjacent to cloud/cloud shadow according to input HLS Fmask quality assurance (QA) data (suggested color: #afafaf)254: Ocean Masked - an area identified as ocean using a shoreline database with an added margin (suggested color: #00007f)255: No data (suggested color: transparent) Satellite/Sensor:Multi Spectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/B/C satellites and Operational Land Imager 2 (OLI-2) on NASA's Landsat 8/9 satellite.Resolution:30 metersOPERA DSWx-HLS data availabilityThe post-processed products are available to download at https://aria-share.jpl.nasa.gov/20250630_NewMexico_Floods/. The OPERA DSWx-HLS products have been in production since April 2023, are freely distributed to the public via NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC), and can be downloaded through NASA's Earthdata search. For more information about the Dynamic Surface Water eXtent product suite, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite.For more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.gov.For more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera/.Product POCs:Cole Speed (cole.speed@jpl.nasa.gov)Mary Grace Bato (mary.grace.p.bato@jpl.nasa.gov)Alexander L. Handwerger (alexander.handwerger@jpl.nasa.gov)Steven Chan (steventsz.k.chan@jpl.nasa.gov)David Bekaert (david.bekaert@jpl.nasa.gov)Credits:HLS data was accessed through NASA EarthData Search. The product contains modified Copernicus Sentinel data (2025), processed by the European Space Agency, NASA/USGS Landsat 8/9 data, and analyzed by the NASA-JPL/Caltech ARIA and OPERA team. The products are produced as part of the OPERA project, which is funded by NASA to address remote sensing needs identified by the Satellite Needs Working Group, and managed by NASA's Jet Propulsion Laboratory.NASA JPL-Caltech ARIA/OPERA Team==================Esri REST Endpoint:See URL on the right side of the page.WMS Endpoint:https://maps.disasters.nasa.gov/ags03/services/NM_FIre_202506/dswx_hls/MapServer/WMSServerData Download:OPERA_DSWx-HLS_V1_BWTR_2025-06-23.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 23, 2025.OPERA_DSWx-HLS_V1_BWTR_2025-06-26.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 26, 2025.OPERA_DSWx-HLS_V1_BWTR_2025-06-28.tif: DSWx-HLS mosaic image of binary water classification layer (BWTR) from data acquired on June 28, 2025.Last Update 30 June 2025

Date of Images:Syn-Event: 2024-09-26 23:38:04 (UTC) or 7:38 PM EDTPre-Event: 2024-09-14 23:37:54 (UTC) or 7:38 PM EDTSummary:The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology derived the surface water extent maps using the OPERA Dynamic Surface Water eXtent from Sentinel-1 (DSWx-S1) products. The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who want to have a rough first look at the water extent. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response.OPERA DSWx-S1The OPERA DSWx-S1 data identifies surface water and inundated vegetation. We provide the Water (WTR) and the Binary Water (BWTR) layers. Images are provided from 1) September 14, 2024 and 2) September 26, 2024. Each image consists of multiple MGRS tiles that were merged together for a composite image saved as a GeoTIFF file.ARIA/OPERA water change map derived from OPERA DSWx-S1The ARIA/OPERA water change map is derived from two OPERA DSWx-S1 Binary Water (BWTR) images taken on September 14, 2024 and September 26, 2024. The BTWR combines inundated vegetation and open water into a single water class.These maps depict areas of new water detection (or loss). The change map includes values of: (0) indicate no change between images, (1) absence of water pre-event, presence of water syn-event, and (-1) presence of water pre-event, absence of water syn-event. Satellite/Sensor:Synthetic Aperture Radar (SAR) instrument on European Space Agency's (ESA) Sentinel-1A satellite was used for both the September 14 and September 26 images.Resolution:30 metersThe DSWx-S1 products have these flags:250 (light gray) and 251 (dark gray) represent HAND and layover/shadow masks, respectively.HAND mask (light gray, value 250) delineates regions where the terrain's elevation exceeds a specified threshold relative to the height above the nearest drainage point, indicating areas less likely to be subject to direct inundation. Layover/shadow mask (dark gray, value 251) identifies zones that are either occluded by topographic features taller than the surrounding landscape (layover) or are not illuminated by the radar signal due to obstruction by these elevated features (shadow), leading to potential data voids in SAR imagery.OPERA DSWx-S1 data availabilityThe post-processed products are available to download at https://aria-share.jpl.nasa.gov/20240926-Hurricane_Helene/DSWx/. The OPERA DSWx-S1 products have been in production since September 2024, are freely distributed to the public via NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC), and can be downloaded through NASA's Earthdata search. For more information about the OPERA project and other products, visit https://www.jpl.nasa.gov/go/opera.For more information about the Dynamic Surface Water eXtent product suite, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suiteFor more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.govFor more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera/Suggested UseDSWx-S1The OPERA DSWx-S1 products classifies the OPERA Radiometric Terrain Corrected SAR backscatter from Sentinel-1 (RTC-S1) input imagery into: not water, water, and inundated vegetation with the masks such as layover/shadow mask and HAND mask. The WTR layer includes all classes. The BWTR layer merges water and inundated vegetation into a single water layer. Open water and inundated vegetation are represented in blue and green in WTR and blue in BWTR. Areas with masks are gray. The masks include the layover/shadow mask and HAND mask. Areas with no water detected are transparent. DSWx-S1 change mapThe ARIA/OPERA water extent change map classifies water extent into change/no change. Increased in water represented in blue, no change in water represented in transparent, decrease in water represented in red.RTC-S1OPERA Radiometric Terrain Corrected SAR backscatter from Sentinel-1 (RTC-S1) image was converted to a false color image. In this color scale, vegetated areas appear green, urban areas appear white/pink, calm water appears black, and rough water appears purple or magenta.” Credits:Sentinel-1 data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2024), processed by the European Space Agency and analyzed by the NASA-JPL/Caltech ARIA and OPERA team. NASA JPL-Caltech ARIA/OPERA Team==================Files:20240914_DSWx-S1_BWTR.tif: The September 14, 2024 binary water map is derived from the WTR layer as a union of water classes (open water and inundated vegetation) into a binary map indicating areas with and without water.20240926_DSWx-S1_BWTR.tif: The September 26, 2024 binary water map.20240926_DSWx-S1_WTR.tif: Masked interpreted water classification layer. This represents pixel-wise classification into one of three water classes (not water, open water and inundated vegetation), masks (HAND mask and layover/shadow mask), or no data classes. OPERA_DSWx-S1_BWTR_ChngMap_20240926-20240914_v2.tif: The ARIA/OPERA flood change map is derived from two OPERA DSWx-HLS images taken on September 14, 2024 and September 26, 2024. These maps depict areas of new water detection that is interpreted as flood. Track121_Florida_DSWx-S1-overview.png: An overview of the 20240926_DSWx-S1_WTR product with a satellite image background.These files have the same GeoTIFF format as the OPERA DSWx-S1 images described above and are in the UTM Zone 16N.

Reprocessed stress-equivalent 10m winds over the global oceans obtained from the QuikSCAT/SeaWinds scatterometer on a 50 km swath grid. The complete data record from the Ku-band scatterometer SeaWinds on QuikSCAT (19 July 1999 - 21 November 2009) has been reprocessed using the Pencil Beam Wind Processor (PenWP). ERA5 re-analysis winds from the European Centre for Medium-Range Weather Forecasts (ECMWF) have been used to initialise the ambiguity removal step in the wind processing and for validation and monitoring of the wind retrievals. The QuikSCAT level 1b data have been obtained from the NASA JPL Physical Oceanography Distributed Active Archive Center (PO.DAAC) web portal.

This CD-ROM set contains the historic archive of meteorological and oceanographic data collected by moored buoys and C-MAN stations operated by the NOAA National Data Buoy Center (NDBC). The files are sent to the National Oceanographic Data Center (NODC) for permanent archiving and distribution in NODC's F291 format.

To reduce costs, the buoy data files on the CD-ROMs have been compressed. This set consists of 7 discs containing 16.5 gigabytes of data from the early 1970's through December 1997, with online Internet links to updated data, information, and time series plots available on the NODC website. The data files and inventories on the discs can be viewed with an Internet browser.

Principal measured parameters reported by both moored buoys and C-MAN stations include air temperature and pressure, wind speed and direction, wind gust, and sea surface temperature. The buoys (and a few C-MAN stations located on offshore platforms) also report wave data, which usually includes wave height, wave period, and wave spectra. Since the late 1980s, some buoys have reported directional wave spectra. The data and information files are recorded in ASCII format.

Disc 1 - Upper North Atlantic Buoys Disc 2 - Mid and Lower North Atlantic Buoys Disc 3 - Gulf of Mexico Buoys Disc 4 - Great Lakes Buoys Disc 5 - Lower Eastern US Coast Pacific Buoys Disc 6 - Upper Eastern US Coast Pacific Buoys Disc 7 - Alaska, Hawaii, and other Pacific Buoys

Copies of these discs are currently available via the NODC Online Store at http://ols.nndc.noaa.gov/plolstore/plsql/olstore.prodspecific?prodnum=W00010-CDR-S0002

The Saildrone Arctic 2019 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2019 Saildrone Arctic campaign featured six Saildrone USVs (jointly funded by NOAA and NASA) deployed during a 150-day cruise in the Bering and Chukchi Seas, spanning from 14 May 2019 to 11 October 2019. The primary mission objective for 2019 was to gather comprehensive atmospheric and oceanographic data in Alaskan arctic waters, which could lead to significant improvements in modeling of diurnal warming and understanding of the marginal ice zones. Additionally, these new data will provide additional Arctic SST observations to benefit SST algorithm development and validation, and for studies of air- sea-ice interactions. Please see the cruise report: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/Saildrone_2019_Arctic_Cruise_Report.pdf

During the Arctic campaign, NASA-funded Saildrones SD-1036 and SD-1037 undertook transects in the Chukchi Sea, approaching the sea ice edge to measure air-sea heat and momentum fluxes in the ocean near sea ice and to validate satellite sea-surface temperature measurements in the Arctic. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents. Seven temperature data loggers positioned vertically along the hull enhanced understanding of thermal variability near the ocean surface.

The Saildrone Arctic 2019 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses three netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. The third file includes temperature logger measurements at various depths at 1-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies.

Des vents retraitement équivalents à 10 m au-dessus des océans globaux obtenus à partir du scatteromètre QuikSCAT/SeaWinds sur une grille de 50 km. L’enregistrement complet des données du scatteromètre en bande Ku SeaWinds sur QuikSCAT (19 juillet 1999-21 novembre 2009) a été retraité à l’aide du processeur à vent à faisceau de crayons (PenWP). Les vents de réanalyse de l’ERA5 du Centre européen de prévisions météorologiques à moyen terme (ECMWF) ont été utilisés pour initialiser l’étape de suppression de l’ambiguïté dans le traitement du vent ainsi que pour la validation et le suivi des récupérations du vent. Les données de niveau 1b de QuikSCAT ont été obtenues à partir du portail Web de la NASA JPL Physical Oceanography Distributed Active Archive Center (PO.DAAC).

Ponovno obrađeni vjetrovi ekvivalentni naprezanju od 10 m iznad globalnih oceana dobiveni iz raspršivača ISS/RapidScat na mreži od 50 km. Potpuni zapis podataka s Ku-band raspršenog uređaja RapidScat na Međunarodnoj svemirskoj postaji (ISS) (3. listopada 2014. – 19. kolovoza 2016.) ponovno je obrađen pomoću procesora vjetra snopa olovke (PenWP). Ponovno analizirani vjetrovi Europskog centra za vremenske prognoze srednjeg dometa (ECMWF) upotrijebljeni su za pokretanje koraka uklanjanja dvosmislenosti u obradi vjetra te za validaciju i praćenje vađenja vjetra. Podaci RapidScat razine 1b dobiveni su na web portalu NASA-e JPL Physical Oceanography Distributed Active Archive Center (PO.DAAC).

Current direction, phytoplankton, zooplankton, benthic organisms, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from February 17, 1981 to June 22, 1982. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F005- Current Meter Data, F028- Phytoplankton, F123- Fish Shellfish Resource, F124- Zooplankton, and F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html.

The F005 format is used for time series measurements of ocean currents obtained using moored current-measuring instruments, principally Aanderaa current meters (manufactured by Aanderaa Instruments Inc.). These data represent the Eulerian method of current measurement, i.e., the meters are deployed at a fixed mooring point and measure flow past the sensor. Position, water depth, and sensor depth are reported for each station. The data record comprises values of current direction and speed at specified date and time. Data values may be subject to averaging or filtering and are typically reported at 10-15 minute time intervals. Other environmental parameters may also be reported. These include: water temperature, salinity, conductivity, and transmissivity; wind direction and speed; and dominant wave direction, height, and period. A text field is available for optional comments.

The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record.

The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments.

The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record.

The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.