From fall 2021 through summer 2023, NOAA and research partners conducted a field study (SPLASH - the Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology). This field study established a state-of-the-art observing network in the East River watershed of the Colorado mountains with a goal of advancing weather and water prediction capabilities in areas with complex terrain. The ultimate goal of this project is improved prediction of weather and water in the Colorado mountains and beyond to inform societal preparedness and response.

The Thermal Springs List for the United States contains data from 1661 hot springs in the continental U.S., Hawaii, and Alaska. The content has not been updated since its initial publication in 1980.

Depth profiles of phytoplankton community composition collected from a small boat in western Lake Erie in the Great Lakes region from 2017-03-23 to 2022-10-24. These data were collected during repeated trips to a set of stations before, during, and after harmful algal blooms (HABs) using a Fluoroprobe (bbe Moldaenke, GmbH) with factory calibration. Data for the following parameters are included: date and time, green algae, blue-green algae, diatom, cryptophyta, and total chlorophyll concentrations, yellow substances, transmission, depth, and temperature.

The U.S. Earthquake Intensity Database (1638–1985) is a collection of damage and felt reports for more than 23,000 U.S. earthquakes. The database contains information regarding epicentral coordinates, magnitudes, focal depths, names, and coordinates of reporting cities/ localities, reported intensities, and the distances to the epicenter. Earthquakes listed in the file date from 1638 to 1985. The majority of the felt reports are in the U.S. States and Territories (155,301).

This dataset contains XBT profile data from NOAA Ship Bell M. Shimada in the North Pacific Ocean from 20171012 to 20171025. Office of Marine and Aviation Operations (OMAO) personnel aboard the ship submitted these data and associated metadata to NCEI. In addition, this dataset contains supplementary cruise-level metadata, which OMAO personnel provided in the submission package. These data were collected as part of the Untrawlable Habitat Strategic Initiative, chief scientist Mary Yoklavich, NOAA Southwest Fisheries Science Center.

This dataset includes oceanographic profile temperature, salinity, currents, nutrients, and other measurements collected using bottle, CTD, XBT, and XCTD and processed by Japan Oceanographic Data Center (JODC). These data were measured by a number of Japanese research institutions from Japanese vessels and stations, in seas world-wide, from 1935 to 2021.

This Level 2 Snowfall Rate (SFR) product provides liquid equivalent, instantaneous snowfall rate. SFR is derived from ATMS, AMSU-A, MHS, and GMI observations onboard the S-NPP, NOAA-20, NOAA-21, Metop-B, Metop-C, and GPM satellites. GMI has a resolution of 6 km while the other sensors are 16 km at nadir. SFR observations provide a snow signature through cloud cover that can be used to quantify snowfall intensity and to identify the extent of a snowstorm and the location of the most intense snowfall.

ADRIFT in the California Current uses passive acoustic drifting buoys to study ocean sound in the California Current Ecosystem. These autonomous buoys drift with currents and are tracked via satellite messenger. Data collected through the ADRIFT project will be used to assess noise levels and seasonal marine mammal acoustic presence in the California Current.

Killer whales (Orcinus orca) exhibit significant ecological and genetic diversity, with three primary sympatric ecotypes in the Northeast Pacific: Resident, Bigg’s (Transient), and Offshore. Each ecotype is adapted to distinct ecological niches, with unique foraging strategies, social structures, and vocal behaviors. These differences underscore the challenges in monitoring and conserving each group, as they coexist within overlapping geographic ranges yet do not intermix.

A new sea surface temperature (SST) analysis on a centennial time scale is presented. The dataset starts in 1850 with monthly 1x1 means and is periodically updated. In this analysis, a daily SST field is constructed as a sum of a trend, interannual variations, and daily changes, using in situ SST and sea ice concentration observations. All SST values are accompanied with theory-based analysis errors as a measure of reliability. An improved equation is introduced to represent the ice-SST relationship, which is used to produce SST data from observed sea ice concentrations.