This dataset tracks annual total students amount from 2015 to 2023 for American International School Of Utah

India Foreign Tourist Arrivals: Student Visa: Central and South America data was reported at 769.000 Unit in 2014. India Foreign Tourist Arrivals: Student Visa: Central and South America data is updated yearly, averaging 769.000 Unit from Dec 2014 (Median) to 2014, with 1 observations. India Foreign Tourist Arrivals: Student Visa: Central and South America data remains active status in CEIC and is reported by Ministry of Tourism. The data is categorized under India Premium Database’s Tourism Sector – Table IN.QB030: Foreign Tourist Arrivals: by Visa Type: Student Visa.

The Trends in International Mathematics and Science Study, 2015 (TIMSS 2015) is a data collection that is part of the Trends in International Mathematics and Science Study (TIMSS) program; program data are available since 1999 at . TIMSS 2015 (https://nces.ed.gov/timss/) is a cross-sectional study that provides international comparative information of the mathematics and science literacy of fourth-, eighth-, and twelfth-grade students and examines factors that may be associated with the acquisition of math and science literacy in students. The study was conducted using direct assessments of students and questionnaires for students, teachers, and school administrators. Fourth-, eighth-, and twelfth-graders in the 2014-15 school year were sampled. Key statistics produced from TIMSS 2015 provide reliable and timely data on the mathematics and science achievement of U.S. students compared to that of students in other countries. Data are expected to be released in 2018.

The Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports by state and Harmonized System (HS) code. The State HS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the state level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. If you have any questions regarding U.S. international trade data, please call us at 1(800)549-0595 option #4 or email us at eid.international.trade.data@census.gov.

The Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports using the Hi-Tech classification system. The Hi-Tech endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. If you have any questions regarding U.S. international trade data, please call us at 1(800)549-0595 option #4 or email us at eid.international.trade.data@census.gov.

The Trends in International Mathematics and Science Study, 2007 (TIMSS 2007), is a study that is part of the Trends in International Mathematics and Science Study (TIMSS) program. TIMSS 2007 (https://nces.ed.gov/timss/) is a cross-sectional study that provides international comparative information of the mathematics and science literacy of fourth- and eighth-grade students and examines factors that may be associated with the acquisition of math and science literacy in students. The study was conducted using direct assessments of students and questionnaires for students, teachers, and school administrators. Fourth- and eighth-graders in the 2006-07 school year were sampled. The final weighted student response rate at grade four was 95 percent, and the final weighted student response rate at grade eight was 93 percent. Key statistics produced from TIMSS 2003 are mathematics and science achievement scores of U.S. fourth- and eighth- grade students compared to that of students in other countries.

United States USF: Short Term: Corporate & Municipal Debt: International Organizat data was reported at 518.000 USD mn in 2009. This records a decrease from the previous number of 4.785 USD bn for 2008. United States USF: Short Term: Corporate & Municipal Debt: International Organizat data is updated yearly, averaging 1.847 USD bn from Jun 2002 (Median) to 2009, with 8 observations. The data reached an all-time high of 4.785 USD bn in 2008 and a record low of 12.000 USD mn in 2002. United States USF: Short Term: Corporate & Municipal Debt: International Organizat data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z047: Foreign Residents' Portfolio Holdings of U.S. Securities.

United States US: Total Reserves: Months of Imports data was reported at 1.500 NA in 2017. This records an increase from the previous number of 1.453 NA for 2016. United States US: Total Reserves: Months of Imports data is updated yearly, averaging 2.195 NA from Dec 1970 (Median) to 2017, with 48 observations. The data reached an all-time high of 6.162 NA in 1980 and a record low of 0.862 NA in 2000. United States US: Total Reserves: Months of Imports data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Foreign Reserves. Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (December 31) London prices. This item shows reserves expressed in terms of the number of months of imports of goods and services they could pay for [Reserves/(Imports/12)].; ; International Monetary Fund, International Financial Statistics and data files.; Weighted average;

World-famous coffeehouse chain, Starbucks, accounted for 40,199 stores worldwide in 2024. Overall, the company had over three thousand more stores located internationally than in North America. These figures amounted to 21,775 and 18,424, respectively. Starbucks' global expansion The Seattle-based company’s worldwide expansion has made it one of the most successful and well-known coffeehouse chains in history. Its store count isn’t the only thing that has grown over the years, so has its revenue. Starbucks recorded its highest revenue in 2024 at over 36 billion U.S. dollars. Despite the company's revenue falling to 19.16 billion in 2020, Starbucks' revenue surpassed pre-pandemic levels in 2021. What Starbucks products do consumers like best? The company’s central product being coffee, it comes as no surprise that the sale of beverages has been the number one source of revenue for Starbucks over the last decade. However, the coffeehouse chain also offers a broader range of beverages, including teas, hot chocolates, smoothies and iced drinks. Food sales also contribute to the company's overall revenue.

United States US: IIP: Assets: Portfolio Investment: Equity: Other Sectors data was reported at 8,962.409 USD bn in 2017. This records an increase from the previous number of 7,044.128 USD bn for 2016. United States US: IIP: Assets: Portfolio Investment: Equity: Other Sectors data is updated yearly, averaging 6,649.416 USD bn from Dec 2011 (Median) to 2017, with 7 observations. The data reached an all-time high of 8,962.409 USD bn in 2017 and a record low of 4,425.814 USD bn in 2011. United States US: IIP: Assets: Portfolio Investment: Equity: Other Sectors data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.BOP: BPM6: International Investment Position: Annual.

Scientific Personnel V. E. Romanovsky, S. S. Marchenko, R.R. Muskett Partner Organizations: Alaska Ecoscience, USA Alfred Wegener Institute, Germany Centre d'etudes Nordiques, Department de Geographie, Universite Laval, Quebec, Canada Danish Meteorological Institute, Denmark Institute of Earth Cryosphere, Russia Institute of Northern Engineering, UAF Interdisciplinary Centre on Climate Change and Department of Geography & Environmental Management, University of Waterloo, Canada International Arctic Research Center, UAF International Permafrost Association, USA Melinkov Permafrost Institute, Russia Moscow Institute of Geography, Russia Academy of Sciences National Center for Atmospheric Research, USA NASA Goddard Space Flight Center, USA Scenarios Network for Alaska Planning (SNAP), UAF Stokholm University, Sweden University of Delaware, USA University of New Hampshire, USA Water Environment Research Center, UAF Local Collaborators: Jorgenson, M.T., Alaska Ecoscience, AK Kholodov, A.L., Geophysical Institute, UAF Daanen, R., Institute of Northern Engineering, UAF Kanevskiy M., Institute of Northern Engineering, UAF Shur, Y., Institute of Northern Engineering, UAF Walsh, J., International Arctic Research Center, UAF Fresco, N., Scenarios Network for Alaska Planning, School of Natural Resources & Agricultural Sciences, UAF Rupp, S., Scenarios Network for Alaska Planning, School of Natural Resources & Agricultural Sciences, UAF Walter-Anthony, K., Water Environmental Research Center, UAF International Collaborators: Christensen, J., Danish Meteorological Institute, Denmark Comiso, J., NASA Goddard Space Flight Center, Oceans and Ice Branch, USA Duguay, C. R., University of Waterloo, Canada Frolking, S., Institute for the Study of Earth, Oceans and Space, University of New Hampshire, USA Georgiadi, A., Moscow Institute of Geography, Russian Academy of Sciences Groisman, P., National Climatic Data Center, USA Hachem, S., Université Laval, Québec, Canada Hubberten, H.-W., Alfred Wegener Institute, Potsdam, Germany Harden Jennifer, US Geological Survey, Menlo Park, CA, USA Kattsov, V., Voeikov Main Geophysical Observatory, Russia Kuhry, P., Stockholm University, Sweden Lawrence, D., National Center for Atmospheric Research, USA Malkova, G., Institute of Earth Cryosphere, Russia Pavlova, T., Voeikov Main Geophysical Observatory, Russia Rawlins, M., University of New Hampshire, USA Rinke, A., Alfred Wegener Institute, Potsdam, Germany Romanovskii, N., Moscow State University, Russia Saito, K., Japan Agency for Marine-Earth Science Technology, Japan Shiklomanov, N., University of Delaware, USA Shiklomanov, A., University of New Hampshire, USA Shkolnik, I.M., Voeikov Main Geophysical Observatory, Russia Schirrmeister L, Alfred Wegener Institute, Potsdam, Germany Schuur A.G. Edward, University of Florida, Gainesville, FL, USA Stendel, M., Danish Meteorological Institute, Denmark Wisser, D., Institute for the Study of Earth, Oceans and Space, University of New Hampshire, USA Zheleznyak, M., Melnikov Permafrost Institute, Russia Funding: NSF Grants OPP ARC-0652838 [ARC-0520578 and ARC-0632400] NASA (NNOG6M48G), Alaska EPSCoR (NSF) The State of Alaska Study Sites Permafrost Freshwater Interactions Alaska, Canada, Russia Permafrost Observatories?Thermal state of permafrost in Russia and Central Asia Permafrost Freshwater Interactions Project continues investigations began during the Thermal State of Permafrost (TSP) Project with renewed and expanded collaboration. Our efforts focus and expand on permafrost and hydrology changes through geophysical modeling and remote sensing (satellite geodesy). During TSP in cooperation with above mentioned Russian partners a large number of existing boreholes have been identified for possible measurements (candidate sites). Many of these have metadata files on the IPA coordinated GTN-P website. Additional sites will be added to the web site. New boreholes over the next several years are planned. A total of 320 boreholes, located in Russia, Kazakhstan, and Mongolia were considered from the point of view of possibility for continuous geothermal observations (see Figure). Boreholes cover all types of permafrost, from continuous to sporadic, both on the plains and in the mountains. Active (sites where regular observations were carried out recently and are intended to continue in the future), candidate (where equipment for long-term observations can be installed soon), potential (equipment for long-term observation is planned to be installed during the project) and historical (there are some existing data but now these sites are unavailable for observations for different reasons) boreholes were selected. In order to standardize all investigations within the framework of the Project the “Manual for monitoring and reporting temperature data in permafrost boreholes” was d... Visit https://dataone.org/datasets/22dc7cfd-27da-4c18-9bf2-98e31bc0bdc0 for complete metadata about this dataset.

Place Of Birth By Year Of Entry For The Foreign-Born Population Report based on US Census and American Community Survey Data.

USF: Long Term: Equity: Others: Turkey data was reported at 5.000 USD mn in 2017. This records a decrease from the previous number of 8.000 USD mn for 2016. USF: Long Term: Equity: Others: Turkey data is updated yearly, averaging 7.500 USD mn from Jun 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 53.000 USD mn in 2004 and a record low of 4.000 USD mn in 2013. USF: Long Term: Equity: Others: Turkey data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z047: Foreign Residents' Portfolio Holdings of U.S. Securities.

USF: Long Term: US Agency: New Caledonia data was reported at 0.000 USD mn in 2016. This stayed constant from the previous number of 0.000 USD mn for 2015. USF: Long Term: US Agency: New Caledonia data is updated yearly, averaging 0.000 USD mn from Jun 2003 (Median) to 2016, with 12 observations. The data reached an all-time high of 1.000 USD mn in 2005 and a record low of 0.000 USD mn in 2016. USF: Long Term: US Agency: New Caledonia data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z047: Foreign Residents' Portfolio Holdings of U.S. Securities.

United States USF: Short Term: US Agency: Slovenia data was reported at 0.000 USD mn in 2017. This stayed constant from the previous number of 0.000 USD mn for 2016. United States USF: Short Term: US Agency: Slovenia data is updated yearly, averaging 0.000 USD mn from Jun 2002 (Median) to 2017, with 13 observations. The data reached an all-time high of 1.000 USD mn in 2015 and a record low of 0.000 USD mn in 2017. United States USF: Short Term: US Agency: Slovenia data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z047: Foreign Residents' Portfolio Holdings of U.S. Securities.

USF: Long Term: Equity: Others: Saint Pierre and Miquelon data was reported at 0.000 USD mn in 2014. This stayed constant from the previous number of 0.000 USD mn for 2013. USF: Long Term: Equity: Others: Saint Pierre and Miquelon data is updated yearly, averaging 0.000 USD mn from Jun 2002 (Median) to 2014, with 10 observations. The data reached an all-time high of 13.000 USD mn in 2004 and a record low of 0.000 USD mn in 2014. USF: Long Term: Equity: Others: Saint Pierre and Miquelon data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z047: Foreign Residents' Portfolio Holdings of U.S. Securities.

United States USF: Long Term: US Agency: Vietnam data was reported at 0.000 USD mn in 2015. This stayed constant from the previous number of 0.000 USD mn for 2013. United States USF: Long Term: US Agency: Vietnam data is updated yearly, averaging 0.000 USD mn from Jun 2003 (Median) to 2015, with 12 observations. The data reached an all-time high of 64.000 USD mn in 2005 and a record low of 0.000 USD mn in 2015. United States USF: Long Term: US Agency: Vietnam data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z047: Foreign Residents' Portfolio Holdings of U.S. Securities.

USF: Long Term: Equity: Others: Thailand data was reported at 27.000 USD mn in 2017. This records an increase from the previous number of 19.000 USD mn for 2016. USF: Long Term: Equity: Others: Thailand data is updated yearly, averaging 62.500 USD mn from Jun 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 216.000 USD mn in 2006 and a record low of 11.000 USD mn in 2013. USF: Long Term: Equity: Others: Thailand data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z047: Foreign Residents' Portfolio Holdings of U.S. Securities.

United States US Securities by Foreign Holders: Netherlands Antilles data was reported at 5.504 USD bn in 2013. This records a decrease from the previous number of 7.459 USD bn for 2012. United States US Securities by Foreign Holders: Netherlands Antilles data is updated yearly, averaging 16.558 USD bn from Jun 2002 (Median) to 2013, with 12 observations. The data reached an all-time high of 30.875 USD bn in 2006 and a record low of 5.504 USD bn in 2013. United States US Securities by Foreign Holders: Netherlands Antilles data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z047: Foreign Residents' Portfolio Holdings of U.S. Securities.

Temperature profile, east-west current components, and north-south current components were collected using current meter, mooring, thermistor casts from August 3, 1974 to May 1, 1975. Data were submitted by Woods Hole Oceanographic Institution as part of the IDOE/POLYMODE (International Decade of Ocean Exploration / combination of USSR POLYGON project). The file format is in F015 (Current Meter Data (Components)). Full F015 format description can be found in http://www.nodc.noaa.gov/General/NODC-Archive/f015.html.

The F015 format is used for time series measurements of ocean currents. These data are obtained from current meter moorings and represent Eulerian method of current measurement, i.e., the meters are deployed at a fixed point and measure flow past a sensor. Position, bottom depth, sensor depth, and meter characteristics are reported for each station. The data record comprises values of east-west (u) and north-south (v) current vector components at specified date and time. Current direction is defined as the direction toward which the water is flowing with positive directions east and north and negative directions west and south. Data values may be subject to averaging or filtering and are typically reported at 10-15 minute time intervals. Water temperature, pressure, and conductivity or salinity may also be reported. A text record is available for optional comments.