World Ocean Atlas 2018 (WOA18) is a set of objectively analyzed (one degree grid and quarter degree grid) climatological fields of in situ temperature, salinity, dissolved oxygen, Apparent Oxygen Utilization (AOU), percent oxygen saturation, phosphate, silicate, and nitrate at standard depth levels for annual, seasonal, and monthly compositing periods for the World Ocean. Quarter degree fields are for temperature and salinity only. It also includes associated statistical fields of observed oceanographic profile data interpolated to standard depth levels on quarter degree, one degree, and five degree grids. Temperature and salinity fields are available for six decades (1955-1964, 1965-1974, 1975-1984, 1985-1994, 1995-2004, and 2005-2017) an average of all decades representing the period 1955-2017, as well as a thirty year "climate normal" period 1981-2010. Oxygen fields (as well as AOU and percent oxygen saturation) are available using all quality controlled data 1960-2017, nutrient fields using all quality controlled data from the entire sampling period 1878-2017. This accession is a product generated by the National Centers for Environmental Information's (NCEI) Ocean Climate Laboratory Team. The analyses are derived from the NCEI World Ocean Database 2018.

This dataset contains daily-averaged ocean velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

World Ocean Database 2009 (WOD09) is a collection of scientifically quality-controlled ocean profile and plankton data that includes measurements of temperature, salinity, oxygen, phosphate, nitrate, silicate, chlorophyll, alkalinity, pH, pCO2, TCO2, Tritium, delta-13Carbon, delta-14Carbon, delta-18Oxygen, Freons, Helium, delta-3Helium, Neon, and plankton. A discussion of data sources is provided. Data are both historical and modern with the most recent data from 2008.World Ocean Database 2009 is an update of World Ocean Database 2005. It expands on the older version by including new variables, data types, and additional historical, as well as modern, observations. It contains all data from earliest observation through our collection as of Dec. 31, 2009. The 2009 database, updated from the 2005 edition, is significantly larger providing approximately 9.1 million temperature profiles and 3.5 million salinity reports. The 2009 database also captures 29 categories of scientific information from the oceans, including oxygen levels and chemical tracers, plus information on gases and isotopes that can be used to trace the movement of ocean currents. An online version of the World Ocean Database is updated quarterly. This subset of the World Ocean Database contains the biological observations only.

This National Centers for Environmental Information (NCEI) archival information package (AIP) contains a product generated by NCEI-- the Global Ocean Currents Database (GOCD). It is derived from NCEI AIPs that hold in situ ocean current data from a diverse range of instruments, collection protocols, processing methods, and data storage formats. For acceptance into the GOCD, the data must have sufficient quality control and thorough documentation. The GODC merges the variety of original formats into the NCEI standard network common data form (NetCDF) format. From the shipboard acoustic Doppler current profiler sets, the GOCD creates files that hold single vertical ocean currents profiles. The GOCD spans 1962 to 2013.

The World Ocean Database (WOD) has global ocean observed and standard depth data profiles. The World Ocean Atlas (WOA) has objectively analyzed climatological mean fields on both a quarter-degree and on a one-degree longitude by latitude grids. The gridded analyses are for annual, seasonal, and monthly means of six oceanographic variables: temperature, salinity, dissolved oxygen, nitrate, phosphate, and silicate on standard levels (typically at 102 depths, dependent on data availability). The products were derived at the Ocean Climate Laboratory (OCL) of the National Oceanographic Data Center (NODC). Development of the World Ocean products began in 1982 and they have been updated in 1994, 1998, 2001, 2005, 2009, 2013, 2018 and 2023. The featured products are now based on the 2023 versions. Some products from older version are still unique. The WOD is the world's largest profile collection covering the global ocean and contains measurements from 1800 through 2023. The WOA are climatological grids at fixed depths derived from quality checked WOD profiles. This is a recognized world-wide standard and is often referenced in oceanographic research.

The mission of the Ocean Climate Stations (OCS) Project is to make meteorological and oceanic measurements from autonomous platforms. Calibrated, quality-controlled, and well-documented climatological measurements are available on the OCS webpage and the OceanSITES Global Data Assembly Centers (GDACs), with near-realtime data available prior to release of the complete, downloaded datasets.

OCS measurements served through the Big Data Program come from OCS high-latitude moored buoys located in the Kuroshio Extension (32°N 145°E) and the Gulf of Alaska (50°N 145°W). Initiated in 2004 and 2007, the respective moored buoys, KEO and Papa, measure a suite of surface and subsurface essential ocean variables. The surface suite includes air temperature, relative humidity, shortwave and longwave radiation, barometric pressure, winds, and rain, while subsurface instrumentation includes temperature, salinity, and ocean currents. Individual buoy deployments are stitched together into a continuous time-series, which is synced to the OceanSITES GDACs, and subsequently, to BDP.

A results paper for this dataset is in preparation for the Geoscience Data Journal as Ito T. (2021) Optimal interpolation of global dissolved oxygen: 1965-2015.

The Changing Arctic Ocean (CAO) oceanographic dataset comprises data collected in the Arctic Ocean, including the Barents Sea and Fram Strait, as part of the Changing Arctic Ocean programme. The data were collected over multiple research cruises starting in June 2017. The majority of these cruises were conducted during the Arctic summer on board the RRS James Clark Ross, with further winter cruises completed in collaboration with the Nansen Legacy project on board the RV Helmer Hanssen. Shipboard data collection included the deployment of conductivity-temperature-depth (CTD) packages, ocean seagliders, mulitcorers, grabs, nets, trawls, and a shelf underwater camera system. The CAO programme aims to understand the changes in Arctic marine ecosystem in a quantifiable way, enabling computer models to help predict the consequences of these changes on, for example; surface ocean productivity; species distributions; food webs; and ecosystems, and the services they provide (ecosystem services). It was initially a Natural Environment Research Council (NERC) funded programme comprising four projects: Arctic PRIZE (Arctic productivity in the seasonal ice zone), led by Finlo Cottier (Scottish Association for Marine Science - SAMS); ARISE (Can we detect changes in Arctic ecosystems?), led by Claire Mahaffey (University of Liverpool); ChAOS (The Changing Arctic Ocean Seafloor), led by Christian Maerz (University of Leeds) and DIAPOD (Mechanistic understanding of the role of diatoms in the success of the Arctic Calanus complex and implications for a warmer Arctic), led by David Pond (University of Stirling). Additional projects were added to the programme in July 2018 through funding provided by NERC and the German Federal Ministry of Education and Research (BMBF). The majority of data are held by the British Oceanographic Data Centre (BODC) but a proportion of the data, primarily biological, are stored at the British Antarctic Survey Polar Data Centre (polardatacentre@bas.ac.uk) and any BMBF funded data are held by Pangaea (https://www.pangaea.de/).

MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (originally known as EOS AM-1) and Aqua (originally known as EOS PM-1) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.

Terra NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group; (2014): MODIS-Terra Ocean Color Data; NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. http://dx.doi.org/10.5067/TERRA/MODIS_OC.2014.0 Accessed on 07/28/2015.

Aqua NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group; (2014): MODIS-Aqua Ocean Color Data; NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. http://dx.doi.org/10.5067/AQUA/MODIS_OC.2014.0 Accessed on 07/28/2015.

Major wind driven ocean currents of the world, represented as polylines. Currents are color coded to indicate warm and cold currents. See Major_Ocean_Currents_arrowPolys for (polygon) layer optimized for cartographic display with arrowheads and varying widths for different scales. The ocean currents data was compiled from the NOAA National Weather Service (http://www.srh.noaa.gov/jetstream/ocean/currents_max.htm) and the US Army (https://commons.wikimedia.org/wiki/File:Ocean_currents_1943_(borderless)3.png).

The RSS SSM/I Ocean Product Grids Weekly Average from DMSP F14 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F14 for a weekly average.

This collection contains an operational Satellite Ocean Heat Content Suite (SOHCS) product generated by NOAA National Environmental Satellite, Data, and Information Service (NESDIS). The operational algorithm implemented was developed at the University of Miami/Rosenstiel School of Marine and Atmospheric Science (RSMAS). The SOHCS product measures the integrated vertical temperature from the sea surface to the depth of the 26°C isotherm. The Algorithm uses a reduced gravity model to estimate the 20 degree isotherm depth based on objectively analyzed blended sea surface height anomaly fields from operational altimeters (Satellite with ARgos and ALtiKa (SARAL), Jason-1, Jason-2 and Cryosat-2) and Geo-Polar blended SST analyses. The data consists of seven parameters including sea surface height anomaly and its mapping error, depth of the 20° and 26° Celsius isotherm, mixed layer depth, ocean heat content and sea surface temperature. The grid spacing of the data in both latitude and longitude is 0.25°.

The QuOTA dataset is a collection of ocean temperature profiles from the Indian Ocean and Tasman Sea surrounding Australia. The data was collected together from various sources and instrument types, duplicate checked and quality controlled. Automated and expert/manual quality control was performed on the data. The automated quality control is discussed in Gronell, A., and S.E. Wijffels. 2008. A Semiautomated Approach for Quality Controlling Large Historical Ocean Temperature Archives. Journal Atmospheric and Oceanic Technology. v25, pp990-1003.

Temperature data from the QuOTA project are available in 5m bins in netcdf format, 2m bins by WMO squares and in a gridded format (described in documents list). They are also available in full resolution netcdf format as described in attached documentation.

Full resolution netcdf: QuOTATasmanSea.tar.gz QuOTAIndianOcean.tar.gz Format documented in 'MQNC_format.doc'

2m binned netcdf: Tasman2mbinsWMOsquares.zip IndianOcean2mbinsWMOsquares.zip Format documented in 'TZ_5m_2m_bins_header_description.doc'

5m binned netcdf: TasmanSea_TZ_5mbin_profiles.nc.gz IndianOcean_TZ_5mbin_profiles.nc.gz Format documented in 'TZ_5m_2m_bins_header_description.doc'

Gridded data netcdf: QuOTA_gridded_monthly_nc.gz Format documented in 'griddedQuotadesc.doc'

The dataset is useful as a high-quality upper ocean temperature dataset in quality control test validation, among other uses. The data collected covers the years 1772-2005. The project end was approximately 2008.

The paper describing the QuOTA quality control process is available in the CSIRO Research Publications Repository (RPR): http://hdl.handle.net/102.100.100/118409?index=1 Lineage: Ocean temperature profiles were collected from: NOAA World Ocean Database, 2001 CSIRO XBT data Bureau of Meteorology XBT data Far Seas Fisheries data (Japan) NOAA AOML XBT datasets GTSPP datasets Scripps XBT datasets WOCE (World Ocean Circulation Experiment) datasets Insititut de Recherche pour le Developpement, Noumea, New Caledonia Early CSIRO Research voyages Early Argo profiling float data

The data contained in this data set are derived from the NOAA Advanced Very High Resolution Radiometer Multichannel Sea Surface Temperature data (AVHRR MCSST), which are obtainable from the Distributed Active Archive Center at the Jet Propulsion Laboratory (JPL) in Pasadena, Calif. The JPL tapes contain weekly images of SST from October 1981 through December 1990 in nine regions of the world ocean: North Atlantic, Eastern North Atlantic, South Atlantic, Agulhas, Indian, Southeast Pacific, Southwest Pacific, Northeast Pacific, and Northwest Pacific. This data set represents the results of calculations carried out on the NOAA data and also contains the source code of the programs that made the calculations. The objective was to derive the average sea-surface temperature of each month and week throughout the whole 10-year series, meaning, for example, that data from January of each year would be averaged together. The result is 12 monthly and 52 weekly images for each of the oceanic regions. Averaging the images in this way tends to reduce the number of grid cells that lack valid data and to suppress interannual variability.

This dataset explores the variability in glacial-interglacial surface hydrography in the western Indian Ocean across the middle to late Pleistocene. Here, we provide 1kyr resolution Mg/Ca-based sea surface temperatures and surface oxygen isotope ratios of seawater (ice volume corrected) as proxy for surface palaeo-salinity from surface dwelling foraminifera Globigerinoides ruber from International Ocean Discovery Program core site U1476 located in the Mozambique Channel, which we use in combination with other records to create Indian Ocean sea surface salinity and sea surface temperature stacks. The data show increases in sea surface temperature and salinity during glaciation, with maximum temperature and salinity occurring at glacial maxima, prior to global deglaciations as indicated by benthic oxygen isotopes, a proxy for global ice volume. Lead-lag analyses were conducted using cross-spectral analysis between sea surface temperatures, salinity, and benthic oxygen isotopes. In parallel, sea-to-land pixel ratios from the ANICE-SELEN model across the Indonesian Archipelago show changes in land surfacing in the Indonesian archipelago due to globally sinking sea levels. The increase in surface temperature and salinification at U1476 occurs at the same time as major land surfacing in the Indonesian Archipelago suggesting a mechanistical link between land surfacing due to global sea level lowering, and changes in Indian Ocean surface hydrography that appears to be a resulting reduction in the considerably fresher Indonesian throughflow entering the Indian Ocean.

This level 3 product includes ocean color and satellite ocean biology data produced or collected under EOSDIS. This dataset may be used for studying the biology and hydrology of coastal zones, changes in the diversity and geographical distribution of coastal marine habitats, biogeochemical fluxes and their influence in Earth's oceans …

This dataset contains level 1 in situ measurements of temperature and salinity from several autonomous, profiling APEX floats. These floats change their buoyancy by inflating an external bladder with oil, allowing them to dive and surface regularly. Conductivity, Temperature and Depth sensors (CTDs) allow them to collect vertical profiles of temperature and salinity. This provided measurements of the ocean's physical characteristics around Greenland. The floats wer deployed as part of the Oceans Melting Greenland (OMG) project. The goal of the project is to find out what contributions the ocean has on Greenland's melting glaciers.

Water temperature measurements collected by Real-time Oceanographic Mooring System (RTOMS). The Ocean Monitoring Program maintains two RTOMS in partnership with Scripps Institute of Oceanography. RTOMS are anchored buoys suspended in the water column configured with a range of instruments at multiple depths, collecting near continuous physical, chemical, and biological data and providing near real-time information of changing conditions. The RTOMS are located near the terminal ends of the Point Loma (PLOO) and South Bay (SBOO) ocean outfalls and are typically deployed for one-year intervals. These high temporal resolution data are intended to enhance the assessment of environmental conditions and the potential impacts of oceanographic and anthropogenic events in coastal waters. These datasets have undergone quality control review. To access charts of provisional real-time data, see the Scripps website. Disclaimer RTOMS data undergo several checks, including preliminary automated checks and further manual review by Marine Biology and Ocean Operations staff. Inaccuracies in the data may persist due to subtle instrument problems or the lack of appropriate validation data, and subsequent review may result in future revisions to the data. For example, when water sample data for spectrophotometric pH and total alkalinity become available, these may be used to qualify or correct pH data. For nitrate/nitrite data, when available, water samples have been used to drift correct sensor data, and corrected data are provided when available. In addition, data downloaded directly from controllers and instruments may be used to fill in some data gaps in the future.

This dataset provides daily-averaged ocean mixed layer depth on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.