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Community Resilience Estimates for Puerto Rico

Data provided by  United States Census Bureau

The Community Resilience Estimates for Puerto Rico track how socially vulnerable every neighborhood in Puerto Rico is to the impacts of a disaster. The Community Resilience Estimates use Puerto Rico Community Survey microdata and Population Estimates Program data to measure the ability of individuals and households to absorb the external stresses of the impacts of a disaster.

Tags: census

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Source: http://api.census.gov/data/2024/crepuertorico

Repository for NIST-EPA Legionella study Python tools.

Data provided by  National Institute of Standards and Technology

Repository for NIST-EPA Legionella study Python tools. Includes scripts for aerosol particle size distribution analysis, emission-rate calculations, data cleaning, visualization, and statistical modeling of shower-generated aerosols under varying temperature, humidity, and exhaust-fan conditions.

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Source: https://github.com/usnistgov/EPA_Legionella

Building 423 IAQ Manufactured House (MH) DAQ — Automated Data Acquisition and Backup System

Data provided by  National Institute of Standards and Technology

Python-based automation system for the NIST Building 423 Manufacturing House IAQ test facility. Provides incremental backups of instrumentation data, weather station logs, and thermostat telemetry to mission network storage with detailed error logging, retry logic, and support for scheduled execution.

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Data for manuscript "Integrated optical isolators for broadband multi-laser operation"

Data provided by  National Institute of Standards and Technology

Theoretical calculation, modeling and experimental measurement data for the paper "Integrated optical isolators for broadband multi-laser operation" accepted for publication in Nature Photonics (2026)

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Contingency: a python library for fast, vectorized metrology with binary contingency counts.

Data provided by  National Institute of Standards and Technology

With this tool, users can rapidly calculate binary classifier metrics like Matthew's Correlation Coefficient, F-Scores, and Average Precision Scores from scalar and binary predictions. It is primarily used to calculate threshold sensitivity studies, and has several routines to significantly speed up metric calculation (or approximation) when aggregate measures of performance over all thresholds are needed.

Tags: binary classification,classifier,machine learning,metrics,performance,experiments,accuracy,recall,precision,contingency table,marginal counts,error,type I,type II,vectorized,batched,approximation

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Source: https://github.com/usnistgov/Contingency

LC-MS/MS and GC-MS Measurements of Extractables and Leachables (E&L) from Polymeric Materials

Data provided by  National Institute of Standards and Technology

This mass spectrometry (MS) data set encompasses spectra of the extractables and leachables (E&L) of 100 polymer materials sourced from the Scientific Polymer Products Inc Polymer Samples Kit (see: SciPoly_PolymerSampleKit205_Items.xlsx). Extractions of these polymers were carried out using three HPLC-grade solvents of varying polarity (water, isopropanol, and hexane) with 10 mg polymer/mL solvent for 24 hours at 50 °C with shaking.

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SRM 927g Bovine Serum Albumin (7% Solution) (Total Protein Standard) Data

Data provided by  National Institute of Standards and Technology

Electronic files containing the certified value(s) and uncertainty(ies), and the data used to assign the value(s). Data are provided for amino acid analysis measurements that were used to determine the certified value for BSA concentration. Data for density measurements needed to convert mass fraction values to mass concentrations are also included. Biuret measurements were used to assign a non-certified value for total protein concentration.

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Low-field hyperpolarized MRI studies of cellphone-band microwave propagation and absorption through tissue mimics

Data provided by  National Institute of Standards and Technology

Hyperpolarized low-Field MRI data of cellphone-band microwave radiation in tissue mimics with associated electromagnetic and simulation data

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Understanding the Risk of Lithium Ion Battery Fires

Data provided by  National Institute of Standards and Technology

Lithium ion battery (LIB) fires are a growing problem that extends across the supply chain, including mining, production, warehousing, shipping, and waste disposal, as well as the consumer side. But data on such fires is fragmented and mostly incomplete. Many are secondary data sources, and for the National Fire Incident Reporting System (NFIRS) and the Consumer Product Safety Commission data sets identification of LIB fires is difficult.

Tags: Lithium Ion Batteries,Fire; NFIRS,AI Analysis,Battery Electric Vehicles,Plugin Hybrid Electric Vehicles

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Source: https://github.com/usnistgov/li-ion-batteries

Human Observational Data in a Production Environment

Data provided by  National Institute of Standards and Technology

A heterogeneous dataset of human measurement data and human-generated text. This dataset was generated by TechSolve Inc. (techsolve.org) as a collaborative effort with NIST. Respondents were asked to observe and evaluate a machining process in which a rotary bit (the "tool") removed layers of a workpiece until the tool was worn to exhaustion. One trial and 19 official experiments were completed, one for each of 20 tools.

Tags: language processing,natural language processing,technical language processing,text,manufacturing,machining,process measurement and control,image and signal processing

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