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 oceano

Monthly-mean Pacific sea-surface temperature analyses for 1949 to 1962 were compiled by the U.S. Bureau of Commercial Fisheries from observations obtained from the National Weather Records Center. Early years contained ... about 5000 observations per month, and that number increased to 15,000 by the end of the period. The grid covers the global area north of 20 south latitude.

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) 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 nearly 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. The WOD18 contains the data on the originally measured depth levels (observed) and interpolated to standard depth levels to present a more uniform iso-surface for oceanographic and climate work. The present accession includes year files for WOD18 (through unique cast 18,604,996) + two updates. The quality flags for the WOD18 are those set during calculation of the World Ocean Atlas 2018.

Marine surface and upper air observations recovered from microfilm copies of cards at NCDC. In the 1960s and 1970s, NCDC stored images of selected 80-character punched card decks on microfilm ... (16mm) using a device known as FOSDIC (Film Optical Sensing Device for Input to Computer). FOSDIC was also used to recall the images back to digital records.

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.

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.

An ocean current is a continuous, directed movement of seawater generated by forces acting upon this mean flow, such as breaking waves, wind, the Coriolis effect, cabbeling, and temperature and salinity differences, while tides are caused by the gravitational pull of the Sun and Moon. Depth contours, shoreline configurations, and interactions with other currents influence a current's direction and strength. Ocean currents flow for great distances, and together, create the global conveyor belt which plays a dominant role in determining the climate of many of the Earths regions. More specifically, ocean currents influence the temperature of the regions through which they travel. General near surface ocean current data was provided by Petroleum Affairs Division. Data was created as part of the Irish Offshore Strategic Environmental Assessment (IOSEA).

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.

Canadian quality-controlled Integrated Science Data Management (ISDM, formerly MEDS) drifting (and some moored) buoy data, used as input for International Comprehensive Ocean-Atmosphere Data Set ... Data from drifters with deep drogues, collected by the Institut fur Meereskunde, at the University of Kiel from 1980 to 1996, are also archived in this dataset.

This dataset is a result of the California Ocean Uses Atlas Project: a collaboration between NOAA's National Marine Protected Areas Center and Marine Conservation Biology Institute. The Project was designed to enhance ocean management through geospatial data on the full range of significant human uses of California's ocean environment from the shoreline to the 200 nm EEZ boundary. Data was gathered from regional ocean experts and users through participatory GIS methods. For more information on the project scope, background and related data products, please visit www.mpa.gov.

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.

Surf Ocean

## Overview

Surf Ocean is a dataset for object detection tasks - it contains Marine Life annotations for 396 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 [MIT license](https://creativecommons.org/licenses/MIT).

9-14 kHz

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 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.For more information, visit: https://open.canada.ca/data/en/dataset/7da1f04f-49b0-4208-a49e-d0597b1f55c6

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/).

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.

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.