*This version has been superseded by a newer version. It is highly recommended for users to access the current version. Users should only access this superseded version for special cases, such as reproducing studies. If necessary, this version can be accessed by contacting NCEI.* This intermediate product of High-Resolution Infrared Radiation Sounder (HIRS) Brightness Temperature (TB) data is from level 1b HIRS data. The data are converted into a NOAA HIRS Clear-Sky Channel 12 TB CDR at NCDC.

The NOAA Geostationary Operational Environmental Satellite (GOES) series of satellites goal is to monitor the atmosphere for severe weather development such as tornadoes, flash floods, hail storms and hurricanes. The positioning of the GOES satellites at around 36,000 km (22,000 statute miles) above the equator at a fixed position above the earth allowed them to scan large geographic regions of the Western Hemisphere and as frequently as once every half hour.

The Global Precipitation Climatology Project (GPCP) consists of monthly satellite-gauge and associated precipitation error estimates and covers the period January 1983 to the present. For GPCP V3 monthly precipitation, the primary outputs include combined satellite-gauge precipitation rate, combined satellite-gauge precipitation random error, multi-satellite precipitation, wind-loss adjusted gauge precipitation, and probability of liquid phase, among others. The product is archived on a 0.5-degree global grid.

The GPCP Daily analysis is a companion to the GPCP Monthly analysis, and provides globally complete precipitation estimates at a spatial resolution of a half degree latitude-longitude and daily time scale from 1998 to the present. Although derived using both some of the same, but also different, data sets and methods than used in the GPCP Monthly analysis, the GPCP Daily "adds up" to the GPCP Monthly. The GPCP Daily V3.3 analysis is currently computed by the University of Maryland and submitted to NCEI.

Contains meteorological data collected from the US Army Newport Chemical Depot in Indiana. Data was collected on 10m to 60m towers and includes wind speed, wind direction, temperature, relative humidity, pressure, and solar radiation. Dataset contains high accuracy temperature data.

Contains meteorological data collected from the US Army Pueblo Chemical Depot in Colorado. Data was collected on 10m to 60m towers and includes wind speed, wind direction, temperature, relative humidity, pressure, and solar radiation. Dataset contains high accuracy temperature data.

The information collected in the Okeanos Explorer (EX) Sampling Operations Database Application (SODA) was customized for the sampling operation protocols developed prior to the launch of the Campaign to Address Pacific Monument Science, Technology, and Ocean NEeds (CAPSTONE) expedition in FY15. SODA is an NCEI-developed, Microsoft Access-based, sampling tool created specifically for the EX to accompany new samples being collected. SODA is used to input and manage data about samples collected during each dive with the ROV Deep Discoverer.

This dataset includes surface underway data collected from R/V Sikuliaq Expeditions in the Pacific Ocean, Gulf of Alaska, Bering Sea, Beaufort Sea, Arctic Ocean from 2025-02-03 to 2026-01-06. These data include partial pressure carbon dioxide (pCO2) - air, partial pressure carbon dioxide (pCO2) - water, sea surface salinity, sea surface temperature and barometric pressure. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer and shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement.

Multi-sensor core logger data and laboratory consolidation and grain size tests performed on jumbo piston core samples

Information from animal-borne data loggers was used to characterize the dive‐surfacing behavior of cryptic loggerhead turtles (Caretta caretta) in the northwest Atlantic from 2009-2018. Our data covered a large geographic area off the east coast of North America, and allowed us to present estimates for and variation in 3 metrics that can be used to assess availability bias affecting visual surveys: average dive duration, average surface duration, and the proportion of time at the surface.