This dataset contains global monthly climatology of oceanic total dissolved inorganic carbon (DIC). (DIC) monthly climatology was created from a neural network approach (Broullón et al., 2020). The neural network was trained with GLODAPv2.2019 (Olsen et al., 2019) and LDEOv2016 (Takahashi et al., 2017) data, using as predictor variables position (latitude, longitude and depth), year, temperature, salinity, phosphate, nitrate, silicate and dissolved oxygen. pCO2 from LDEOv2016 and AT from Broullón et al.

This dataset contains global monthly climatology of oceanic total alkalinity (AT). Total alkalinity (AT) monthly climatology was created from a neural network approach (Broullón et al., 2019). The neural network was trained with GLODAPv2.2019 data (Olsen et al., 2019) using as predictor variables position (latitude, longitude and depth), temperature, salinity, phosphate, nitrate, silicate and dissolved oxygen.

This dataset includes physical measurements of individual plants representative of a variety of coastal vegetation communities in Collier County, FL between 2017-11-27 and 2017-12-02. Measurements included, but were not limited to, diameter at breast height, estimated canopy height, diameter and number of prop roots, and leaf area. Additional data files are point clouds of representative stands of coastal vegetation communities generated by a terrestrial laser scanner. Scans were collected between 2017-11-27 and 2017-12-02.

Version 2 of the Gulf of Mexico Regional Climatology(GOM RC) was released in October, 2020. It includes all data from World Ocean Database 2018 (WOD18) and World Ocean Atlas 2018 (WOA18), and provides more detailed thermohaline fields and updates other oceanographic variables that were not available in the previous version. The update substantially revises and extends the original GOM RC, which was released in 2010 in the wake of the Deepwater Horizon oil spill and updated in 2011 (Boyer et al, 2011).

This dataset consists of hourly continuous measurements of pH, partial pressure of carbon dioxide (pCO2), salinity and temperature were collected at the University of Texas Marine Science Institute Research Pier, Aransas Ship Channel, TX, Gulf of Mexico from 2016-11-08 to 2017-08-23 using a SeaFET (pH), SAMI-CO2 (pCO2), and YSI (temperature and salinity) sensors. To reduce the maintenance cost and effort for sensors deployed in warm water that experiences intense biofouling, the sensors were set up to measure in situ seawater from an ex situ position.

This is an archive of CTD data from the 2016 Bering Strait mooring cruise.

The cruise was funded by the NSF-Arctic Observing Network grants:
- PLR-1304052 (PIs: Woodgate, Heimbach and Nguyen)

The data are from a ~ 9 day cruise on the US vessel Norseman II, from 7th-15th July 2016, sailing from and to Nome, Alaska, USA, to the Bering Strait and southern Chukchi Sea. The cruise was also to service oceanographic moorings in the strait and those data are archived separately.

This is an archive of CTD data from the 2017 Bering Strait mooring cruise.

The cruise was funded by the NSF-Arctic Observing Network grants:
- PLR-1304052 (PIs: Woodgate, Heimbach and Nguyen)

The data are from a ~ 9 day cruise on the US vessel Norseman II from 7th-15th July 2017, sailing from and to Nome, Alaska, USA, to the Bering Strait and southern Chukchi Sea. The cruise was also to service oceanographic moorings in the strait and those data are archived separately.

This is an archive of CTD data from the 2015 Bering Strait mooring cruise.

The cruise was funded by the NSF-Arctic Observing Network grant:
- PLR-1304052 (PIs: Woodgate, Heimbach and Nguyen)

The data are from a ~ 9 day cruise
- on the US vessel Norseman II
- from 1st-9th July 2015
- sailing from and to Nome, Alaska, USA
- to the Bering Strait and southern Chukchi Sea.
The cruise was also to service oceanographic moorings in the strait and those data are archived separately.

This dataset contains visual assessments and passive observations of North Pacific sei, humpback, and gray whales collected from the research vessel Yushin-Maru No. 2 in the North Pacific Ocean and Gulf of Alaska.

This dataset contains water temperature, salinity, plankton, and others taken by CTD and Niskin bottles from the schooner Tara at sample locations during world-wide cruise. Some casts were taken in US EEZ. The objective of Tara oceans mission, an international, multidisciplinary project, was to get a planetary-scale understanding of the ocean ecosystem, particularly in light of climate change and to assess the complexity of ocean life across comprehensive taxonomic and spatial scales.