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TwitterThese are nominal yield curves, obtained by fitting a parametric form to the prices of off-the-run nominal Treasury coupon securities. The data are available at daily frequency, from 1961 to present.
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This dataset provides values for GDP NOMINAL reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPSAXDCUSQ) from Q1 1950 to Q2 2025 about GDP and USA.
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TwitterBeing relatively new to the field, electromechanical actuators in aerospace applications lack the knowledge base compared to ones accumulated for the other actuator types, especially when it comes to fault detection and characterization. Lack of health monitoring data from fielded systems and prohibitive costs of carrying out real flight tests push for the need of building system models and designing affordable but realistic experimental setups. This paper presents our approach to accomplish a comprehensive test environment equipped with fault injection and data collection capabilities. Efforts also include development of multiple models for EMA operations, both in nominal and fault conditions that can be used along with measurement data to generate effective diagnostic and prognostic estimates. A detailed description has been provided about how various failure modes are inserted in the test environment and corresponding data is collected to verify the physics based models under these failure modes that have been developed in parallel. A design of experiment study has been included to outline the details of experimental data collection. Furthermore, some ideas about how experimental results can be extended to real flight environments through actual flight tests and using real flight data have been presented. Finally, the roadmap leading from this effort towards developing successful prognostic algorithms for electromechanical actuators is discussed.*
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data of "Solar System’s earliest solids as tracers of the accretion region of Ryugu and Ivuna-type carbonaceous chondrites"
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Key information about United States Nominal GDP
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TwitterThis is a no-arbitrage dynamic term structure model, implemented as in Kim and Wright using the methodology of Kim and Orphanides . The underlying model is the standard affine Gaussian model with three factors that are latent (i.e., the factors are defined only statistically and do not have a specific economic meaning). The model is parameterized in a maximally flexible way (i.e., it is the most general model of its kind with three factors that are econometrically identified). In the estimation of the parameters of the model, data on survey forecasts of 3-month Treasury bill (T-bill) rate are used in addition to yields data in order to help address the small sample problems that often pervade econometric estimation with persistent time series like bond yields.
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Key information about Denmark Nominal GDP
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The Mars Express PFS data set contains raw (CODMAC Level 2) measurements from the Planetary Fourier Spectrometer collected during the first extension Mars orbit phases.
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TwitterGridSTAGE (Spatio-Temporal Adversarial scenario GEneration) is a framework for the simulation of adversarial scenarios and the generation of multivariate spatio-temporal data in cyber-physical systems. GridSTAGE is developed based on Matlab and leverages Power System Toolbox (PST) where the evolution of the power network is governed by nonlinear differential equations. Using GridSTAGE, one can create several event scenarios that correspond to several operating states of the power network by enabling or disabling any of the following: faults, AGC control, PSS control, exciter control, load changes, generation changes, and different types of cyber-attacks. Standard IEEE bus system data is used to define the power system environment. GridSTAGE emulates the data from PMU and SCADA sensors. The rate of frequency and location of the sensors can be adjusted as well. Detailed instructions on generating data scenarios with different system topologies, attack characteristics, load characteristics, sensor configuration, control parameters are available in the Github repository - https://github.com/pnnl/GridSTAGE. There is no existing adversarial data-generation framework that can incorporate several attack characteristics and yield adversarial PMU data. The GridSTAGE framework currently supports simulation of False Data Injection attacks (such as a ramp, step, random, trapezoidal, multiplicative, replay, freezing) and Denial of Service attacks (such as time-delay, packet-loss) on PMU data. Furthermore, it supports generating spatio-temporal time-series data corresponding to several random load changes across the network or corresponding to several generation changes. A Koopman mode decomposition (KMD) based algorithm to detect and identify the false data attacks in real-time is proposed in https://ieeexplore.ieee.org/document/9303022. Machine learning-based predictive models are developed to capture the dynamics of the underlying power system with a high level of accuracy under various operating conditions for IEEE 68 bus system. The corresponding machine learning models are available at https://github.com/pnnl/grid_prediction.
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Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPXDCUSA) from 1950 to 2024 about GDP and USA.
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Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-11-28 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.
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TwitterOverview with Chart & Report: Nominal Budget Balance reflects the difference between the government's income and expenditure at the end of the budget period. The nominal budget calculation also includes debt servicing costs. A
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TwitterSRM 2693a Electronic files containing assigned values and their uncertainties, and the data used to assign those values.
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Finland - Nominal unit labour cost was 17.20% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Finland - Nominal unit labour cost - last updated from the EUROSTAT on October of 2025. Historically, Finland - Nominal unit labour cost reached a record high of 30.20% in December of 1995 and a record low of -2.60% in December of 2001.
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Nominal Effecive Exchange Rate in Uruguay was reported at 0 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Uruguay - Nominal Effecive Exchange Rate - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.
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TwitterWage growth has been modest since the end of the Great Recession, puzzling many market observers and policymakers. We examine the relationship between wage growth and nominal wage rigidities—the share of workers whose wages have not changed—and find the current pace of wage growth is not historically unusual. Our results suggest wage growth may continue on its gradual path as long as the incidence of wage rigidities remains elevated.
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Graph and download economic data for Nominal Imports of Goods for United States (NMGNSAXDCUSQ) from Q1 1950 to Q2 2025 about imports, goods, and USA.
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Key information about Spain Nominal GDP
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Latvia - Nominal unit labour cost was 78.90% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Latvia - Nominal unit labour cost - last updated from the EUROSTAT on November of 2025. Historically, Latvia - Nominal unit labour cost reached a record high of 131.20% in December of 2008 and a record low of 12.30% in December of 2018.
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TwitterThese are nominal yield curves, obtained by fitting a parametric form to the prices of off-the-run nominal Treasury coupon securities. The data are available at daily frequency, from 1961 to present.