Round 13 Test Dataset

Round 13 Holdout Dataset

The data logging system on NOAA Ship Gordon Gunter recorded underway oceanographic and meteorological data from various instruments while cruising in the Gulf of Mexico and North Atlantic Ocean from 2023-02-02 to 2023-02-09. During this period, as part of the Shipboard Automated Meteorological and Oceanographic System (SAMOS) project, the data logging system sent the data daily via e-mail to Florida State University (FSU), where the Center for Ocean-Atmospheric Prediction Studies (COAPS) quality-controlled (QCed) the meteorological data.

The data logging system on R/V THOMAS G. THOMPSON recorded underway oceanographic and meteorological data from various instruments while cruising in the North Pacific Ocean and South Pacific Ocean from 2023-02-01 to 2023-02-28. During this period, as part of the Shipboard Automated Meteorological and Oceanographic System (SAMOS) project, the data logging system sent the data daily via e-mail to Florida State University (FSU), where the Center for Ocean-Atmospheric Prediction Studies (COAPS) quality-controlled (QCed) the meteorological data.

The data logging system on R/V Roger Revelle recorded underway oceanographic and meteorological data from various instruments while cruising in the Indian Ocean, South Atlantic Ocean, and South Pacific Ocean from 2023-02-01 to 2023-02-28. During this period, as part of the Shipboard Automated Meteorological and Oceanographic System (SAMOS) project, the data logging system sent the data daily via e-mail to Florida State University (FSU), where the Center for Ocean-Atmospheric Prediction Studies (COAPS) quality-controlled (QCed) the meteorological data.

The purpose of this software and data is to enable reproduction and facilitate extension of the computational results associated with the following referenceDeJaco, R. F.; Majikes, J. M.; Liddle, J. A.; Kearsley, A. J. Binding, Brightness, or Noise? Extracting Temperature-dependent Properties of Dye Bound to DNA. Biophysical Journal, 2023, https://doi.org/10.1016/j.bpj.2023.03.002.The software and data can also be found at https://github.com/usnistgov/dye_dna_plates.

Numerical values of all data points shown in figures for manuscript "Trap-Integrated Superconducting Nanowire Single-Photon Detectors with Improved RF Tolerance for Trapped-Ion Qubit State Readout", available on arXiv at https://arxiv.org/abs/2302.01462Manuscript in press at Applied Physics Letters.

SDNist v2 is a Python package that provides benchmark data and evaluation metrics for deidentified data generators.This version of SDNist supports using the NIST Diverse Communities Data Excerpts, a geographically partitioned, limited feature data set.The deidentified data report evaluates utility and privacy of a given deidentified dataset and generates a summary quality report with performance of a deidentified dataset enumerated and illustrated for each utility and privacy metric.

This data publication includes electron backscatter diffraction (EBSD) data used to support the development of ISO 13067 "Microbeam Analysis - Electron Backscatter Diffraction - Measurement of Average Grain Size" as part of a Versailles Project on Advanced Materials and Standards (VAMAS) work area. EBSD data was collected on two commercially pure titanium samples. Two different scanning electron microscopes were used, and two staff independently performed measurements of 5 selected areas.

The CCQM_Retrospectoscope system combines a nominally complete database of results from Consultative Committee for the Amount of Substance: Metrology in Chemistry and Biology (CCQM) studies with a number of graphical tools for trying to make sense of the data. This system supports a diverse collection of often eye-opening appraisals of participation and measurement performance throughout the history of the CCQM activities.