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Survey of International Travelers (SIAT)
Data provided by International Trade Administration
The Survey of International Air Travelers is an on-going primary research program which gathers statistical data about air passenger travelers in U.S. - overseas and U.S. - Mexican markets. Survey data provides information on passenger trip planning, travel patterns, demographics and spending for two separate populations – non-U.S. residents traveling to the U.S. and U.S. residents traveling from the U.S.
Tags: Not Applicable,
Modified: 2024-02-22
Views: 0
Top Market Reports
Data provided by International Trade Administration
The International Trade Administration's Top Markets Series is meant to help exporters determine their next export market by comparing opportunities across borders. Each report ranks future export opportunities within a particular industry based on a sector-specific methodology. The reports provide a detailed assessment of the competitiveness landscape within a sector, as well as the opportunities and challenges facing U.S. exporters in key markets
Tags: Not Applicable,
Modified: 2024-02-22
Views: 0
Travel and Tourism Indicators
Data provided by International Trade Administration
The U.S. Department of Commerce, Department of Homeland Security, and Department of State prepare these performance indicators for international travel to the United States and for travel facilitation programs.
Tags: Not Applicable,
Modified: 2024-02-22
Views: 0
Travel and Tourism Satellite Account (TTSA) Program
Data provided by International Trade Administration
Statistics and reports on how much U.S. tourists spend and the prices they pay for lodging, airfare, souvenirs, and other travel-related items.
Tags: Not Applicable,
Modified: 2024-02-22
Views: 0
U.S. International Air Travel Statistics (I-92 data) Program
Data provided by International Trade Administration
Information on international air traffic between the United States and other countries. Provides publications for a fee.
Tags: Not Applicable,
Modified: 2024-02-22
Views: 0
U.S. Textiles and Apparel Imports Under Free Trade Agreements
Data provided by International Trade Administration
Statistics on imports of textile and apparel products into the U.S. under free trade agreements.
Tags: Not Applicable,
Modified: 2024-02-22
Views: 0
U.S. Textiles and Apparel Trade Preference Program Statistics
Data provided by International Trade Administration
Statistics and reports on U.S. imports under trade preference programs.
Tags: Not Applicable,
Modified: 2024-02-22
Views: 0
Visitor Arrivals Program (I-94 Data)
Data provided by International Trade Administration
The International Visitor Arrivals Program provides the U.S. government and the public with the official monthly and annual overseas visitor arrivals to the United States. The National Travel and Tourism Office (NTTO) manages the program in cooperation with the Department of Homeland Security, Customs and Border Protection (CBP).
Tags: Not Applicable,
Modified: 2024-02-22
Views: 0
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.
Tags: aerosol,bidirectional reflectance,BRDF,diffuse,gratings,Mie scattering,modeling,Mueller matrix,polarization,python,roughness,scatter,surface,
Modified: 2024-02-22
Views: 0
Optimal Bayesian Experimental Design Version 1.0.1
Data provided by National Institute of Standards and Technology
Python module 'optbayesexpt' uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given an parametric model - analogous to a fitting function - Bayesian inference uses each measurement 'data point' to refine model parameters. Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties. A TCP socket interface allows the software to be used from experimental control software written in other programming languages.
Tags: GitHub pages template,experimental design,Bayesian,optbayesexpt,python,measurement,
Modified: 2024-02-22
Views: 0