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The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature. The current version of the database expands its coverage to about 180 countries for 45 years, 1975-2020. It has become one of the most cited databases in comparative political economy and comparative political institutions, with more than 4,500 article citations on Google Scholar as of December 2020.
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United States Disposable Personal Income (DPI) data was reported at 8,270.418 USD bn in Oct 2003. This records an increase from the previous number of 8,238.870 USD bn for Sep 2003. United States Disposable Personal Income (DPI) data is updated monthly, averaging 2,208.658 USD bn from Jan 1959 (Median) to Oct 2003, with 538 observations. The data reached an all-time high of 8,319.767 USD bn in Aug 2003 and a record low of 341.441 USD bn in Jan 1959. United States Disposable Personal Income (DPI) data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A201: NIPA 1999: Personal Income and Disposition.
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The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature, among others. The current version of the database, which is now hosted at the IDB, expands its coverage to about 180 countries for 40 years, 1975-2015. Researchers at the World Bank Development Research Group first compiled the database in 2000 (see citation information below). It has become one of the most cited databases in comparative political economy and comparative political institutions. Almost 3000 studies have used this database so far as a source of institutional and political data in their empirical analysis.
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TwitterAttribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
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The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature, among others. The current version of the database, which is now hosted at the IDB, expands its coverage to about 180 countries for 42 years, 1975–2017. Researchers at the World Bank Development Research Group first compiled the database in 2000 (see citation information below). It has become one of the most cited databases in comparative political economy and comparative political institutions. Almost 3000 studies have used this database so far as a source of institutional and political data in their empirical analysis.
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TwitterAccess updated Dpi import data India with HS Code, price, importers list, Indian ports, exporting countries, and verified Dpi buyers in India.
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TwitterDatabase that provides users with information on protein-protein interactions, as well as experimental and inferring interactions, for the organism Helicobacter pylori. Searching the database provides users with the ORF, locus, similarity comparisons, and description for the object queried.
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Graph and download economic data for Disposable Personal Income (DPI) from Q1 1947 to Q2 2025 about disposable, personal income, personal, income, GDP, and USA.
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TwitterField experiment to assess the potential of multispectral remote sensing to assess physiological maturity of canola. Four varieties of different maturiy classes were tested in a time of sowing experiment. Raw reflectance data.
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TwitterReplicated trials at two locations. Three water and four nitrogen treatments. Soil sample data gravimetric moisture, chemical properties.
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TwitterThis dataset includes point location data for private schools in Wisconsin. The points are placed on or near each school building's centroid. School data was pulled from the Wisconsin Department of Public Instruction's schools database on September 12, 2025. This data gets updated biannually so for more up-to-date information, please visit the DPI school directory.
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TwitterAll-time high price data for DeFi Pulse Index, including the peak value, date achieved, and current comparison metrics.
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TwitterThe Deteriorated Paint Index (DPI) data predicts areas at-risk of containing several pre-1980 households with large areas of deteriorated paint, a significant and common predictor of lead dust, at the State level. Funding for remediation and abatement is limited. To adequately target households eligible for home remediation and associated intervention efforts, local healthy homes and environmental health program administrators must identify neighborhoods that are the most “at risk” of residential lead exposure where deteriorated paint is the primary source. To address this need, the DPI uses household-level data to predict a household’s risk of deteriorated paint.
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This asset is a dataset containing geospatial outputs from the bonito model produced by the Climate Vulnerability Assessment Project. It contains the climate suitability for bonito, both historically (1993-2012 baseline) and using future climate projections (2036-2065) for two emissions scenarios (RCP4.5 and RCP8.5), for each element of the model.
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This asset is a dataset containing geospatial outputs from the dolphinfish model produced by the Climate Vulnerability Assessment Project. It contains the climate suitability for dolphinfish, both historically (1993-2012 baseline) and using future climate projections (2036-2065) for two emissions scenarios (RCP4.5 and RCP8.5), for each element of the model.
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This asset is a dataset containing geospatial outputs from the kingfish model produced by the Climate Vulnerability Assessment Project. It contains the climate suitability for kingfish, both historically (1993-2012 baseline) and using future climate projections (2036-2065) for two emissions scenarios (RCP4.5 and RCP8.5), for each element of the model.
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TwitterDpi World Shipping Service Llc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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This asset is a dataset containing geospatial outputs from the blueberry model produced by the Climate Vulnerability Assessment Project. It contains the climate suitability for blueberry in NSW, both historically (1981-2010 baseline) and using future climate projections (2036-2065) for two emissions scenarios (RCP4.5 and RCP8.5), for each element of the model.
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TwitterDpi Merchandising Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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Data published by the Department of Primary Industries (DPI) that supports the Digital Projects Dashboard. Data resources include the list of digital and information and communication technology (ICT) enabled initiatives and their reported status. For further information, visit the Queensland Government Digital Projects Dashboard website. Please refer to the pages: About the dashboard, FAQs and Glossary.
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TwitterAttribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
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The Database of Political Institutions presents institutional and electoral results data such as measures of checks and balances, tenure and stability of the government, identification of party affiliation and ideology, and fragmentation of opposition and government parties in the legislature. The current version of the database expands its coverage to about 180 countries for 45 years, 1975-2020. It has become one of the most cited databases in comparative political economy and comparative political institutions, with more than 4,500 article citations on Google Scholar as of December 2020.