U.S. flag

An official website of the United States government

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Https

Secure .gov websites use HTTPS
A lock () or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Breadcrumb

  1. Home

Dataset Search

Search results

126405 results found

2017 Commodity Flow Survey - Hazardous Materials Series

Data provided by  United States Census Bureau

The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments.

Tags: census

Modified:

Source: http://api.census.gov/data/2017/cfshazmat

2017 Commodity Flow Survey - Temperature Control Series

Data provided by  United States Census Bureau

The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments.

Tags: census

Modified:

Source: http://api.census.gov/data/2017/cfstemp

2017 Commodity Flow Survey - Geographic Area Series

Data provided by  United States Census Bureau

The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments.

Tags: census

Modified:

Source: http://api.census.gov/data/2017/cfsarea

2017 Commodity Flow Survey - Exports Series

Data provided by  United States Census Bureau

The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments.

Tags: census

Modified:

Source: http://api.census.gov/data/2017/cfsexport

Calculated values of the second dielectric and refractivity virial coefficients of helium, neon, and argon.

Data provided by  National Institute of Standards and Technology

Values of second dielectric and refractivity virial coefficients computed, with rigorous accounting for quantum effects, from state-of-the-art pair potentials and interaction polarizabilities. Values given at 1 K intervals (finer intervals below 10 K) for helium (both mass 3 and 4 isotopes), neon (both mass 20 and 22 isotopes), and argon (mass 40 isotope). Upper temperature limit is 2000 K in all cases. Lower temperature limit is 0.5 K for helium, 4 K for neon, 50 K for argon.

Modified:

Economic Census: Wholesale Trade: Detailed Type of Operation for the U.S.: 2017

Data provided by  United States Census Bureau

This dataset presents statistics for Wholesale Trade: Detailed Type of Operation for the U.S.

Tags: census

Modified:

Source: http://api.census.gov/data/2017/ecntypop

NIST Patents

Data provided by  National Institute of Standards and Technology

This is a searchable database of NIST patents

Modified:

Source: https://www.nist.gov/patents

2020 Planning Database - State and County Level

Data provided by  United States Census Bureau

This is a one-time release of the Census Bureau’s Planning Database (PDB). This version of the PDB is at the state and county levels of geography. It contains only select U.S. housing, demographic, and socioeconomic statistics from the 2010 Census and the American Community Survey, not the operational statistics found on most versions. This special release of the PDB can be easily combined with county and state level statistics from other data sources.

Tags: census

Modified:

Source: http://api.census.gov/data/2020/pdb/statecounty

Time Series Data from Sensors in the Duct Above a Kitchen Cooktop During Normal Cooking and Ignition Conditions

Data provided by  National Institute of Standards and Technology

This data set includes the time series data from 16 electrochemical, optical, temperature and humidity sensors in 60 experiments to characterize the conditions preceding cooktop ignition compared to the conditions of normal cooking. The sensors are placed in the exhaust duct above a mock-up kitchen cooktop. Experiments cover a broad range of conditions, including both unattended cooking and normal cooking scenarios, where 39 experiments led to auto-ignition.

Modified:

pySCATMECH: A Python interface to the SCATMECH C++ library of polarized light scattering codes

Data provided by  National Institute of Standards and Technology

SCATMECH is a library of object-oriented C++ computer codes originally developed for disseminating models for polarized light scattering from surfaces and aerosols and for diffraction from gratings. The pySCATMECH package has been developed as an interface to the SCATMECH library, simplifying use of the codes and allowing for more rapid development of software for these applications.

Modified:

Source: https://doi.org/10.18434/M32216