The dataset contains profiles of current speed taken by ADCP from the research vessel RV Atlantis. The data were received, reviewed, and prepared for archival at the Joint Archive (JA) for Shipboard Acoustic Doppler Current Profilers (SADCP), a collaboration of NOAA and the University of Hawaii Currents Group. The high frequency samples along with ancillary parameters are provided in the Common Oceanographic Data Access System (CODAS) binary format, from which long- and short-form NetCDF files are made. The long form holds an exact dump of the CODAS set.

This dataset includes maps which characterize periphyton presence on the lakebed around Madeline Island and Gull Island Shoal, Lake Superior. Data includes observations of percent cover and presence/absence necessary for map development, as well as maps of periphyton presence probability predictions and standard deviation.

This dataset includes underwater photos and video frames, along with corresponding annotations of benthic substrates and communities, and their metadata collected around Madeline Island and Gull Island Shoal, Lake Superior. Underwater imagery was collected using a remotely operated vehicle (ROV) led by Michigan Technological University (MTU), and a drop camera led by the National Oceanic and Atmospheric Administration on Great Lakes mapping cruise GL-23-01 from June 20 to August 4, 2023 (Menza et al. 2024).

Photoquadrat benthic images were collected within the Kahekili Herbivore Fisheries Management Area (KHFMA) in West Maui by the Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Sciences Division (ESD; formerly the Coral Reef Ecosystem Division) for quantifying benthic composition. This dataset is only the imagery; the benthic cover data produced have been archived separately in National Centers for Environmental Information (NCEI) Accession 0165015. Photo-transects were taken at each site, with 25 photographs taken at 1m intervals.

Global Gridded Multiparameter Eddy Significance Index.

This work presents the results of evaluating and measuring the dc leakage effects associated with Programmable Josephson Voltage Standards (PJVS). Two types of leakage error can occur in PJVS systems. The first type involves leakage currents to Earth ground, which can result from the resistance of cable insulation and the bias electronics. The second type is related to the voltage divider effect, caused by potential leakage paths on the precision output leads. Both effects can impact the measurement accuracy of the PJVS and must be monitored regularly.

This dataset includes near real-time global ocean temperature and salinity measurements taken by shipboard observers or automated instruments and received daily by the Marine Environmental Data Section (MEDS) of the Ocean Sciences Branch of Fisheries and Oceans Canada from the Global Telecommunication System (GTS) of the WMO World Weather Watch. MEDS applies the documented GTSPP quality assessment and duplicates removal procedures and forwards the quality-checked data three times each week to the NOAA National Centers for Environmental Information (NCEI).

The dataset contains thermocouple-based surface temperature measurements from two series of lithium-ion battery thermal-abuse experiments. The first series consists of continuous-heating tests, in which external heating was applied until ignition to quantify the time interval between the safety-valve breakage (SVB) event and subsequent ignition. The second series consists of interrupted-heating tests, where heating was deliberately stopped at different times after SVB to evaluate the safe intervention window and characterize delayed-ignition behavior.

These data provide an accurate high-resolution shoreline compiled from imagery of Long Island Sound, Sound View to Pawcatuck River, NY-CT-RI . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.

This project promoted access to drones for a wider community of users by transferring a protocol for drone-based wetland monitoring and evaluating its efficacy in assessing and monitoring emergent vegetation.