This dataset contains physical data collected on ARSV Laurence M. Gould during cruise LMG1801 in the South Atlantic Ocean, South Pacific Ocean, and Southern Ocean from 2018-01-05 to 2018-02-04. These data include depth, salinity calculated from CTD primary sensors, and water temperature. The instruments used to collect these data include CTD profiler and Niskin bottle. These data were collected by James T. Hollibaugh of University of Georgia and Brian N.

This dataset contains biological, chemical, optical, and physical data collected on NOAA Ship Bell M. Shimada during cruises SH-18-01, SH-18-04, and SH-18-11 in the North Pacific Ocean from 2018-02-27 to 2018-09-25. These data include conductivity, density, depth_bottom, dissolved Oxygen, fluorescence, salinity calculated from CTD primary sensors, water pressure, and water temperature. The instruments used to collect these data include CTD Sea-Bird 911. These data were collected by Kim S.

This dataset contains chemical data collected on R/V Neil Armstrong during cruise AR16 at Western North Atlantic from 2017-05-04 to 2017-05-20. These data include Ammonium, Nitrate, Nitrite, SiOH_4, depth, and reactive phosphorus (PO4). The instruments used to collect these data include CTD profiler, Niskin bottle, and Nutrient Autoanalyzer.

This dataset contains chemical and physical data collected on R/V Thomas G. Thompson during cruise TN280 from 2012-05-17 to 2012-05-22. These data include trace metal concentration. The instruments used to collect these data include Mass Spectrometer. These data were collected by Mak A. Saito of Woods Hole Oceanographic Institution as part of the "Marine Microbial Investigator Award: Investigator Mak Saito (MM Saito)" and "US GEOTRACES PMT: Cobalt Biogeochemical Cycling and Connections to Metalloenzymes in the Pacific Ocean (PMT Cobalt and Metalloenzymes)" projects.

Our goal is to explore the feasibility and usefulness of using a combination of covering arrays and machine learning models for predicting results of an agent- based simulation model within the vast parameter value combination space. The challenge is to select parameter values that are representative of the overall behavior of the model, so that we can train the machine learning model to be able to correctly predict behavior on previously untested areas of the parameter space. We have chosen Wilensky's Heat Bugs model in NetLogo for our study.

The primary data consist of allele or haplotype frequencies for N=1036 anonymized U.S. population samples. Additional files are supplements to the associated publications. Any changes to spreadsheets are listed in the "Change Log" tab within each spreadsheet. DOI numbers for associated publications are listed below, under "References".

Sky130 is an open source complimentary metal oxide semiconductor (CMOS) technology manufactured by Skywater Technology in its facility in Bloomington, Minnesota. Since it is an open source technology, there are no legal restrictions on it's characterization, unlike in typical foundry semiconductor technologies. To facilitate the development of cryogenic electronics, this data set includes measurements of devices manufactured in Sky130 at low temperatures.

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NOAA-20 (N20/JPSS-1/J1) is the second satellite in the US NOAA latest generation Joint Polar Satellite System (JPSS). N20 was launched on November 18, 2017. In conjunction with the first US satellite in JPSS series, Suomi National Polar-orbiting Partnership (S-NPP) satellite launched on October 28, 2011, N20 form the new NOAA polar constellation. NOAA is responsible for all JPSS products, including SST from the Visible Infrared Imaging Radiometer Suite (VIIRS).

Magnetic resonance imaging (MRI) data and analysis software for "Towards a Barrier-Free Anthropomorphic Brain Phantom for Quantitative Magnetic Resonance Imaging: Design, First Construction Attempt, and Challenges". This contains MRI data of the first construction attempt at 3 T and at 64 mT. The data includes T1 and T2 relaxation time measurements and susceptibility measurements (only at 3 T).