This dataset contains temperature data from the West Indian Ocean. Data (including available XBT data) were collected since 1778. They have been subjected to quality control as an activity of CSIRO and BoM.

The QuOTA project involved NOAA-IPRC and CMAR jointly undertaking to build a very high quality ocean thermal data archive by applying methods and expertise developed through the NOAA-IPRC/CMAR IOTA (Indian Ocean Thermal Archive) collaboration which was established in 1998. The Quota Project resulted in building a high quality upper ocean temperature dataset for the Indian Ocean and the South-western Pacific (east of the dateline). QuOTA contains ocean temperature data collected since 1778 and includes XBT, CT, CU, CTD, XCDT, MBT, BT, BA, DT, SST, TE, UO, bottle, drifting and moored bouy data. Quality control of the data is done by automated processes, followed by 'hand-QC' of data that fails the automated test. This results in a data set containing very little 'bad' data and any that remains is usually subtly faulty, having little impact on most analyses.

This dataset contains water temperature profiles from XBT casts collected aboard the HANSA FREYBURG, HIGHLAND CHIEF, ER MONTPELLIER, SEATRADE ORANGE, AURORA AUSTRALIS, L'Astrolabe, SEATRADE RED, and Szechuen in the Indian Ocean, South Pacific Ocean, Tasman Sea, Southern Ocean, and Coral Sea from 28 July 2019 to 14 July 2021. These data were collected as part of the Ship of Opportunity Program High Density XBT Transects during cruises HF32, HC30, MP30, SO30, AA190, LA200, SR30, LA210, SZ30, and SZ06. These data were submitted by Rebecca Cowley of the Commonwealth Scientific and Industrial Research Organization (CSIRO).

This dataset contains temperature data from the TOGA/WOCE transect IX12 across the Indian Ocean, between Fremantle and the Red Sea. Data have been collected since December 1986 and are ongoing. The transect is repeated approximately monthly. Profiles are obtained approximately every 60km (a 1 degree latitude / 1.5 degree longitude grid). The data are obtained from XBTs (expendable bathythermographs) deployed via the Ship-of-Opportunity Program (SOOP) of the IOC/WMO Integrated Global Ocean Services System (IGOSS), and are now managed by the Joint Australian Facility for Ocean Observing Systems (JAFOOS), a collaborative venture between CSIRO Marine Research and the Bureau of Meteorology Research Centre (BMRC).

This dataset contains water temperature profiles from XBT casts collected aboard the L'Astrolabe, SEATRADE ORANGE, HANSA FREYBURG, SEATRADE RED, and Investigator in the Indian Ocean, South Pacific Ocean, Tasman Sea, Southern Ocean, and Coral Sea from 31 January 2020 to 11 September 2020. These data were collected as part of the Ship of Opportunity Program High Density XBT Transects during cruises LA200, SO30, HF32, SR30, and in2020_v and submitted by Rebecca Cowley of the Commonwealth Scientific and Industrial Research Organization (CSIRO).

이 데이터셋의 설명이 없습니다

이 데이터셋의 설명이 없습니다

이 데이터셋의 설명이 없습니다

This dataset includes subsurface ocean profiles of temperature, salinity, oxygen, nutrients, ocean tracers, optics, and biology (chlorophyll, plankton) taken from 1772 to 2023 in the global ocean using bottles, CTD, XBT, MBT, profiling floats, moored buoys, ice drifting buoys, gliders, towed profilers, and instrumented pinnipeds. This dataset was prepared at NCEI in CF compliant netCDF ragged array format under the direction of the International Quality-controlled Ocean Database (IQuOD) project. The IQuOD 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 dataset which includes uncertainties on each temperature measurement and intelligent metadata for identifying critical missing information.

이 데이터셋의 설명이 없습니다