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TwitterThe International Financial Statistics database covers about 200 countries and areas, with some aggregates calculated for selected regions, plus some world totals. Topics covered include balance of payments, commodity prices, exchange rates, fund position, government finance, industrial production, interest rates, international investment position, international liquidity, international transactions, labor statistics, money and banking, national accounts, population, prices, and real effective exchange rates.
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TwitterThis data set contains the 0.1 degree resolution output from the ECMWF IFS (European Centre for Medium-Range Weather Forecasts Integrated Forecasting System) model during the SOCRATES field phase. Grids include analysis and forecast time steps at a three hourly interval to 48 hours and at six hour intervals to 120 hours. The ECMWF runs are available at 00 and 12 UTC daily. At 06 and 18 UTC just the analysis grids are included. These data are in GRIB format.
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TwitterThis dataset contains 15-day forecasts of the atmospheric model variables generated by the ECMWF Integrated Forecasting System (IFS) at 0.25 degree resolution. We refer to these as Near-Realtime (NRT) because new products are released twice a day after the release of the ECMWF realtime forecast data, of which this is a subset. Data may be distributed and used commercially with proper attribution. Products are available in Earth Engine starting with the implementation of Cycle 49r1 on 2024/11/12; earlier products are not included. For general information about how to use ECMWF NRT datasets, see their user documentation. Sources files are available in the Google Cloud marketplace.
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TwitterView Care Of Ifs import export trade data, including shipment records, HS codes, top buyers, suppliers, trade values, and global market insights.
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ETF exposure data for Intercorp Financial Services Inc. (IFS), held by 27 ETFs.
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TwitterView Ifs Import Export Inc import export trade data, including shipment records, HS codes, top buyers, suppliers, trade values, and global market insights.
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Complete dataset: IFS's 0 incidents, security score trends, compliance status, and comparative benchmarks against 5,619 industry peers.
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Complete dataset: IFS Energy & Resources's 1 incidents, security score trends, compliance status, and comparative benchmarks against industry peers.
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Taiwan BoP: IFS: Net Errors and Omissions data was reported at -1.491 USD bn in Dec 2017. This records a decrease from the previous number of -112.000 USD mn for Sep 2017. Taiwan BoP: IFS: Net Errors and Omissions data is updated quarterly, averaging 313.500 USD mn from Mar 1997 (Median) to Dec 2017, with 84 observations. The data reached an all-time high of 3.114 USD bn in Dec 2013 and a record low of -3.840 USD bn in Mar 2016. Taiwan BoP: IFS: Net Errors and Omissions data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.JB009: Balance of Payments: IFS Format.
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Taiwan BoP: IFS: FA: OI: Liabilities data was reported at 5.678 USD bn in Dec 2017. This records a decrease from the previous number of 17.986 USD bn for Sep 2017. Taiwan BoP: IFS: FA: OI: Liabilities data is updated quarterly, averaging 2.682 USD bn from Mar 1997 (Median) to Dec 2017, with 84 observations. The data reached an all-time high of 19.213 USD bn in Sep 2013 and a record low of -14.481 USD bn in Dec 2015. Taiwan BoP: IFS: FA: OI: Liabilities data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.JB009: Balance of Payments: IFS Format.
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Taiwan BoP: IFS: Balance: Current plus Capital minus Financial Account data was reported at 6.221 USD bn in Sep 2018. This records a decrease from the previous number of 6.251 USD bn for Jun 2018. Taiwan BoP: IFS: Balance: Current plus Capital minus Financial Account data is updated quarterly, averaging 3.383 USD bn from Mar 1997 (Median) to Sep 2018, with 87 observations. The data reached an all-time high of 21.077 USD bn in Mar 2004 and a record low of -7.159 USD bn in Sep 2007. Taiwan BoP: IFS: Balance: Current plus Capital minus Financial Account data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.JB009: Balance of Payments: IFS Format.
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ECMWF IFS Ensemble (ENS): 51-member global probabilistic weather forecast model. 0.25° grid, 15-day horizon. Get ensemble means, quantiles, and members as JSON, CSV, or NDJSON from GribStream API. Open data (CC-BY-4.0).
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Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.HighResMIP.ECMWF.ECMWF-IFS-HR' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
The ECMWF-IFS-HR (25 km atmosphere and 25 km ocean) climate model, released in 2017, includes the following components: atmos: IFS (IFS CY43R1, Tco399, cubic octahedral reduced Gaussian grid equivalent to 1600 x 800 longitude/latitude; 91 levels; top level 0.01 hPa), land: HTESSEL (as implemented in IFS CY43R1), ocean: NEMO3.4 (NEMO v3.4; ORCA025 tripolar grid; 1442 x 1021 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM2 (LIM v2; ORCA025 tripolar grid; 1442 x 1021 longitude/latitude). The model was run by the European Centre for Medium-Range Weather Forecasts, Reading RG2 9AX, UK (ECMWF) in native nominal resolutions: atmos: 25 km, land: 25 km, ocean: 25 km, seaIce: 25 km.
Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).
CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).
The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
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TwitterView Ifs Gmbh import export trade data, including shipment records, HS codes, top buyers, suppliers, trade values, and global market insights.
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TwitterNon-traditional data signals from social media and employment platforms for IFS stock analysis
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subject to appropriate attribution.
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Graph and download economic data for Goods, Value of Imports for United States (VALIMPUSM052N) from Jan 2006 to Dec 2025 about imports, goods, and USA.
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Complete dataset: IFS - Iberia Financial Software's 0 incidents, security score trends, compliance status, and comparative benchmarks against 31,323 industry peers.
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ECMWF IFS (Integrated Forecasting System) global deterministic weather forecast model. 0.25° grid, 15-day range, open data (CC-BY-4.0). Access IFS forecasts as JSON, CSV, or NDJSON via GribStream API. Supports renewable energy, aviation, and research.
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TwitterThe International Financial Statistics database covers about 200 countries and areas, with some aggregates calculated for selected regions, plus some world totals. Topics covered include balance of payments, commodity prices, exchange rates, fund position, government finance, industrial production, interest rates, international investment position, international liquidity, international transactions, labor statistics, money and banking, national accounts, population, prices, and real effective exchange rates.