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The Agency for Healthcare Research and Quality (AHRQ) created SyH-DR from eligibility and claims files for Medicare, Medicaid, and commercial insurance plans in calendar year 2016. SyH-DR contains...
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SDNist (v1.3) is a set of benchmark data and metrics for the evaluation of synthetic data generators on structured tabular data. This version (1.3) reproduces the challenge environment from...
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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,...
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The article and accompanying spreadsheet represent the information posteriors derived from synthetic data of magnetotellurics (MT). These were used to calculate value of information of MT for...
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The NIST Excerpts Benchmark Data are a set of target data for deidentification algorithms. The data are configured to work with "SDNist: Synthetic Data Report Tool", a package for evaluating...
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This repository contains the collected resources submitted to and created by the NIST Collaborative Research Cycle (CRC) Data and Metrics Archive. The NIST Collaborative Research Cycle (CRC) is an...
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This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use...
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This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a...
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