GDP: Secondary Industry: Liaoning: Dalian data was reported at 334.900 RMB bn in 2024. This records a decrease from the previous number of 371.530 RMB bn for 2023. GDP: Secondary Industry: Liaoning: Dalian data is updated yearly, averaging 50.410 RMB bn from Dec 1978 (Median) to 2024, with 47 observations. The data reached an all-time high of 371.530 RMB bn in 2023 and a record low of 2.730 RMB bn in 1979. GDP: Secondary Industry: Liaoning: Dalian data remains active status in CEIC and is reported by Dalian Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AE: Gross Domestic Product: Prefecture Level City: Secondary Industry.

This dataset contains satellite and drifter data supplemental to Androulidakis et al (2020). Included are the Satellite Ocean Color maps showing the Color Index (CI) distribution over the western Straits of Florida on 06/17/2010, 07/11/2010, 07/15/2011, 05/23/2012, 06/01/2016, 05/06/2013, 06/13/2013 and 08/09/2013. This type of data is part of the Gulf of Mexico Coastal Ocean Observing System (GCOOS) product, developed and distributed by the Optical Oceanography Laboratory from the University of South Florida (https://optics.marine.usf.edu/). The second type of satellite data is from the Group for High-Resolution Sea Surface Temperature (GHRSST). Specifically, the dataset includes Level 4 SST data produced as a retrospective dataset at the NASA Jet Propulsion Laboratory (JPL) Physical Oceanography Distributed Active Archive Center (DAAC) using wavelets as basis functions in an optimal interpolation approach on a global 0.011-degree grid. The third type of satellite data utilized is the Archiving, Validation and Interpretation of Satellite Oceanographic Data (AVISO; https://www.aviso.altimetry.fr) that includes the Sea Level Anomaly (SLA) estimated with altimeters in orbit and the Mean Dynamic Topography (MDT). When combined, SLA and MDT represent the Maps of Absolute Dynamic Topography (MADT). The MADT data have 0.25° resolution and are used to investigate the Loop Current evolution inside the western Straits of Florida, based on the 17 cm SSH anomaly contour. The mean annual position of this contour is provided for 2010-2017. The drifter data were derived from the Global Drifter Program (GDP). This program has followed the Surface Velocity Program (SVP) started in 1979 and aims at providing measurements of near-surface ocean currents worldwide at 15 m depth. HYCOM hydrodynamic fields for 2010 through 2017 are found in other related datasets under GRIIDC Unique Dataset Identifiers (UDIs): R5.x281.000:0001 (10.7266/N7NG4NPG) , R6.x818.000:0004 (10.7266/n7-e1mg-8e73), R6.x818.000:0005 (10.7266/n7-ctpa-q845), R6.x818.000:0006 (10.7266/n7-s3t7-ab53), R6.x818.000:0007 (10.7266/n7-a6wv-rj68), R5.x281.000:0017 (10.7266/n7-3s8f-m404), R6.x818.000:0008 (10.7266/n7-0gwc-ex81), and R6.x818.000:0009 (10.7266/n7-memc-es11). Modeled particle trajectories can be downloaded from R6.x818.000:010 (10.7266/88M3XXQW). These datasets support the publication: Androulidakis, Y.; Kourafalou, V.; Le Henaff, M.; Kang, H.; Ntaganou, N.; Hu, C. (2020). Gulf Stream evolution through the Straits of Florida: the role of eddies and upwelling near Cuba. Ocean Dynamics, doi:10.1007/s10236-020-01381-5

Singapore SG: Government Expenditure on Education: Total: % of GDP data was reported at 2.913 % in 2013. This records a decrease from the previous number of 3.113 % for 2012. Singapore SG: Government Expenditure on Education: Total: % of GDP data is updated yearly, averaging 2.998 % from Dec 1971 (Median) to 2013, with 28 observations. The data reached an all-time high of 4.008 % in 2003 and a record low of 2.250 % in 1979. Singapore SG: Government Expenditure on Education: Total: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Education Statistics. General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;