This dataset includes surface underway, chemical, meteorological and physical data collected during the Voluntary Observing Ship Statsraad Lehmkuhl cruises in 2022 in the Pacific, Indian and Atlantic Oceans from 2022-01-02 to 2022-12-05. These data include measurements of mole fraction of CO2 in ambient atmosphere in dry air, mole fraction of CO2 in air from equilibrator in dry air, atmospheric pressure, sea surface temperature and sea surface salinity.

This dataset includes surface underway, chemical, meteorological and physical data collected during the M/V Atlantic Sail Ships of Opportunity (SOOP) cruises in the North Atlantic Ocean in 2022. These data include partial pressure (or fugacity) of carbon dioxide - atmosphere, partial pressure (or fugacity) of carbon dioxide - water, sea surface salinity, sea surface temperature and barometric pressure. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

This dataset includes surface underway, chemical, meteorological and physical data collected during the Wave Glider GEOMAR-4 sail in the North Atlantic Ocean from 2021-11-14 to 2022-01-14. These data include partial pressure (or fugacity) of carbon dioxide - atmosphere, partial pressure (or fugacity) of carbon dioxide - water, sea surface salinity, sea surface temperature and barometric pressure. A Wave Glider equipped with a VeGas CO2 system, a GPCTD and additional BGC sensors was deployed north of the CVOO site.

This dataset includes surface underway, chemical, meteorological and physical data collected during the GEOMAR Drifting Surface Buoy 1 deployment in the North Atlantic Ocean from 2022-02-26 to 2022-05-22. These data include partial pressure (or fugacity) of carbon dioxide - atmosphere, partial pressure (or fugacity) of carbon dioxide - water, sea surface salinity, sea surface temperature and barometric pressure. A surface buoy equipped with a VeGas CO2 system, a SBE37-ODO and a Weatherstation was moored on a seamount north west of the Cape Verdean Island Santo Antao.

ANN-NEP is a gridded surface ocean pCO2 data product for the Northeast Pacific open ocean. It was created using non-linear functional relationships between pCO2 observations from the Surface Ocean CO2 Atlas v2021 as well as additional data from Fisheries and Oceans Canada February 2019 Line P cruise, and a variety of independent predictor variables (see supplemental information) using an artificial neural network self-organizing-map-feed-forward-network approach described and evaluated in Duke et al. (2023).

Sediment cores were collected from intertidal flats and shallow subtidal areas throughout the Coos Bay Estuary in May 2021 using a push corer or Russian peat corer as outlined in Souza et al., 2022 (MS thesis). Cores were typically on the order of tens of centimeters to one meter long. Cores were subsampled in the field in 1-cm increments and returned to the lab for grain-size, loss-on-ignition (organic content), and/or Pb-210 isotope analyses on selected intervals. Not every interval of each core was analyzed for every parameter. Sandier cores were not analyzed for Pb-210.

The data described here includes the analysis of plankton samples for the presence and size of akule and 'opelu larvae, as well as the tow metadata of samples including tow type, mesh size, and distance from shore. This data was collected as a part of Pacific Island Fisheries Science Center (PIFSC) Ecosystem Sciences Division (ESD)'s West Hawai'i Ichthyoplankton Time Series Project. This data was produced from analysis of plankton samples collected off the Kona Coast of Hawai'i from 1997 throughout 2018 by NOAA ships and small boats.

The California Current System (CCS) is a highly complex upwelling system supporting productive fisheries and high biodiversity, but it is vulnerable to warming, deoxygenation, and acidification. Data fragmentation and limited data availability constrain our understanding of when and where stressful coastal conditions manifest. Here, we present a large synthesis of compiled, formatted, and quality-controlled publicly available temperature, dissolved oxygen, and carbonate-system observations to create an accessible, high-resolution database for mapping marine climate stress in U.S.

This data collection contains geospatial data from models predicting the suitability of Wind Energy Areas (WEA) for the Gulf of Mexico Call Area. It includes a constraints shapefile created using 18 data layers that represent conflicts for offshore wind development. Also included is a final suitability shapefile, created using 53 data layers. The geometric mean of the six submodels (i.e., national security, industry, and operation, natural and cultural resources, fisheries, logistics, and economics) was used to calculate an overall suitability score.

This dataset was collected by a meteorological tower installed by NOAA/OAR/ARL/ATDD at the Oliver Springs Airport near Oliver Springs, TN. This tower was fixed to one end of a permanent shelter and the instruments mounted at various locations above the ground as noted in the metadata. The data from each instrument was collected continuously by a Campbell Scientific CR3000 data logger from June 28, 2019 until December 26, 2021 at 10 second intervals.