The World Ocean Database (WOD) is the world's largest publicly available uniform format quality controlled ocean profile dataset. Ocean profile data are sets of measurements of an ocean variable vs. depth at a single geographic _location within a short (minutes to hours) temporal period in some portion of the water column from the surface to the bottom. To be considered a profile for the WOD, there must be more than a single depth/variable pair. Multiple profiles at the same _location from the same set of instruments is an oceanographic cast. Ocean variables in the WOD include temperature, salinity, oxygen, nutrients, tracers, and biological variables such as plankton and chlorophyll. Quality control procedures are documented and performed on each cast and the results are included as flags on each measurement. The WOD contains the data on the originally measured depth levels (observed) and also interpolated to standard depth levels to present a more uniform set of iso-surfaces for oceanographic and climate work. The source of the WOD is more than 20,000 separate archived datasets contributed by institutions, project, government agencies, and individual investigators from the United States and around the world. Each dataset is available in its original form in the National Centers for Environmental Information data archives. All datasets are converted to the same standard format, checked for duplication within the WOD, and assigned quality flags based on objective tests. Additional subjective flags are set upon calculation of ocean climatological mean fields which make up the World Ocean Atlas (WOA) series. The WOD consists of periodic major releases and quarterly updates to those releases. Each major release is associated with a concurrent release of a WOA release, and contains final quality control flags used in the WOA, which includes manual as well as automated steps. Each quarterly update release includes additional historical and recent data and preliminary quality control. The latest major release was WOD 2018 (WOD18), which includes nearly 16 million oceanographic casts, from the second voyage of Captain Cook (1772) to the modern Argo floats (end of 2017). The WOD presents data in netCDF ragged array format following the Climate and Forecast (CF) conventions for ease of use mindful of space limitations.

The Ocean Data Inventory database is an inventory of all of the oceanographic time series data held by the Ocean Science Division at the Bedford Institute of Oceanography. The data archive includes about 5800 current meter and acoustic doppler time series, 4500 coastal temperature time series from thermographs, as well as a small number (200) of tide gauges. Many of the current meters also have temperature and salinity sensors. The area for which there are data is roughly defined as the North Atlantic and Arctic from 30° - 82° N, although there are some minor amounts of data from other parts of the world. The time period is from 1960 to present. The database is updated on a regular basis.

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.

The World Ocean Database (WOD) is the World's largest publicly available uniform format quality controlled ocean profile dataset. Ocean profile data are sets of measurements of an ocean variable at a single geographic location within a short (minutes to hours) temporal period in some portion of the water column from the surface to the bottom. To be considered a profile for the WOD, there must be more than a single depth/variable pair. Multiple profiles at the same location from the same set of instruments is an oceanographic cast. There are more than 15 million oceanographic casts in the WOD 2018 (WOD18) initial release, from the second voyage of Captain Cook (1772) to the modern Argo floats (end of 2017). Ocean variables in the WOD18 include temperature, salinity, oxygen, nutrients, tracers, and biological variables such as plankton and chlorophyll. Quality control procedures are documented and performed on each cast, the results included as flags on each measurement. The WOD18 presents data in Climate-Forecast netCDF ragged array format for ease of use mindful of space limitations.

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.

This dataset contains daily-averaged ocean potential temperature and salinity 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.

Underwater Object Detection Neural Ocean Dataset

## Overview

Underwater Object Detection  Neural Ocean Dataset is a dataset for object detection tasks - it contains Underwater Object annotations for 1,493 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This collection contains the Global Ocean Currents Database (GOCD). The GOCD is an NCEI Standard Product, and is derived from datasets archived at NCEI that contain 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 meet quality control requirements and have thorough documentation. The GOCD merges the variety of original formats into an 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 includes data collected from 1962-09-30 to 2013-12-23.

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.

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.

9-14 kHz

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 World Ocean Database 1998 (WOD98) is comprised of five CD-ROMs containing profile and plankton/biomass data in compressed format. WOD98-01 through WOD98-04 contain observed level data, WOD98-05 contains all the standard level data. World Ocean Database 1998 (WOD98) expands on World Ocean Atlas 1994 (WOA94) by including the additional variables nitrite, pH, alkalinity, chlorophyll, and plankton, as well as all available metadata and meteorology. WOD98 is an International Year of the Ocean product. WOD98-01 Observed Level Data; North Atlantic 30° N-90° N; WOD98-02 Observed Level Data; North Atlantic 0°-30° N, South Atlantic; WOD98-03 Observed Level Data; North Pacific 20° N-90° N; WOD98-01 Observed Level Data; North Pacific 0°-20° N; South Pacific, Indian; WOD98-01 Standard Level Data for all Ocean Basins. Discs may be created by burning the appropriate .iso file(s) in the data/0-data/disc_image/ directory to blank CD-ROM media using standard CD-ROM authoring software. Software that was developed or provided with this NODC Standard Product may be included in the disc_image/ directory as part of a disc image, but executable software that was developed or provided with this NODC Standard Product has been excluded from the disc_contents/ directory.

This data set includes subsurface ocean profiles of temperature, salinity, oxygen, nutrients, ocean tracers, optics, and biology (chlorophyll, plankton) taken from 1772 to 2025 in the global ocean using bottles, CTD, XBT, MBT, profiling floats, moored buoys, ice drifting buoys, gliders, towed profilers, and instrumented pinnipeds. This data set was prepared at NCEI in CF compliant netCDF ragged array format under the direction of the IQuOD project. The IQuOD (International Quality-controlled Ocean Database) effort is being organized by the oceanographic community, and includes experts in data quality and management, climate modelers and the broader climate-related community. The primary focus of IQuOD is to produce and freely distribute the highest quality and complete single ocean profile repository along with (intelligent) metadata and assigned uncertainties for use in ocean climate research applications. This goal will be achieved by developing and implementing an internationally agreed framework. IQuOD v0.1 is a preliminary data set which includes uncertainties on each temperature measurement and intelligent metadata for identifying critical missing information.

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 …

The National Centers for Environmental Prediction (NCEP) uses a Global Ocean Data Assimilation System (GODAS) [http://www.cpc.ncep.noaa.gov/products/GODAS/] to routinely produce monthly and pentad (5-day) mean global ocean gridded data. The analysis system, that was originally applied only to the tropical Pacific, has evolved to use GFDL MOM v3 model and give near global coverage. Briefly, the model domain specifications are 65N to 75S, 1 degree resolution with 1/3 degree resolution within 10 degree of the equator, 40 levels and 10 meter resolution in the upper 200 meters. These data are a valuable community asset for monitoring different aspects of ocean climate 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 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.