100+ datasets found
  1. Yield Curve Models and Data - Nominal Yield Curve

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 18, 2024
    + more versions
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    Board of Governors of the Federal Reserve System (2024). Yield Curve Models and Data - Nominal Yield Curve [Dataset]. https://catalog.data.gov/dataset/yield-curve-models-and-data-nominal-yield-curve
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    These 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.

  2. T

    GDP NOMINAL by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Oct 14, 2022
    + more versions
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    TRADING ECONOMICS (2022). GDP NOMINAL by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/gdp-nominal
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Oct 14, 2022
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

    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.

  3. F

    Nominal Gross Domestic Product for United States

    • fred.stlouisfed.org
    json
    Updated Sep 1, 2025
    + more versions
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    (2025). Nominal Gross Domestic Product for United States [Dataset]. https://fred.stlouisfed.org/series/NGDPSAXDCUSQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPSAXDCUSQ) from Q1 1950 to Q2 2025 about GDP and USA.

  4. d

    Data from: Experimental Data Collection and Modeling for Nominal and Fault...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Apr 11, 2025
    + more versions
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    Dashlink (2025). Experimental Data Collection and Modeling for Nominal and Fault Conditions on Electro-Mechanical Actuators [Dataset]. https://catalog.data.gov/dataset/experimental-data-collection-and-modeling-for-nominal-and-fault-conditions-on-electro-mech
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    Dashlink
    Description

    Being 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.*

  5. Table1_EDS.xlsx

    • figshare.com
    xlsx
    Updated Jun 11, 2025
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    Noriyuki Kawasaki (2025). Table1_EDS.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.29287775.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Noriyuki Kawasaki
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    data of "Solar System’s earliest solids as tracers of the accretion region of Ryugu and Ivuna-type carbonaceous chondrites"

  6. U

    United States Nominal GDP

    • ceicdata.com
    Updated Mar 15, 2025
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    CEICdata.com (2025). United States Nominal GDP [Dataset]. https://www.ceicdata.com/en/indicator/united-states/nominal-gdp
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2020 - Mar 1, 2023
    Area covered
    United States
    Description

    Key information about United States Nominal GDP

    • United States Nominal GDP reached 6,621.6 USD bn in Mar 2023, compared with 6,534.5 USD bn in the previous quarter.
    • Nominal GDP in US is updated quarterly, available from Mar 1947 to Mar 2023, with an average number of 1,057.5 USD bn.
    • The data reached an all-time high of 6,621.6 USD bn in Mar 2023 and a record low of 60.8 USD bn in Mar 1947.

    CEIC de-annualizes quarterly Nominal GDP. The Bureau of Economic Analysis provides annualized Nominal GDP in USD.


    Related information about United States Nominal GDP

    • In the latest reports, US GDP expanded 1.6 % YoY in Mar 2023.
    • Its GDP deflator (implicit price deflator) increased 5.4 % in Mar 2023.
    • US GDP Per Capita reached 59,484.0 USD in Dec 2017.
    • Its Gross Savings Rate was measured at 15.9 % in Mar 2023.
    • For Nominal GDP contributions, Investment accounted for 20.7 % in Mar 2023.
    • Public Consumption accounted for 14.1 % in Mar 2023.
    • Private Consumption accounted for 67.9 % in Mar 2023.

  7. Yield Curve Models and Data - Three-Factor Nominal Term Structure Model

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 18, 2024
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    Board of Governors of the Federal Reserve System (2024). Yield Curve Models and Data - Three-Factor Nominal Term Structure Model [Dataset]. https://catalog.data.gov/dataset/yield-curve-models-and-data-three-factor-nominal-term-structure-model
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    This 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.

  8. D

    Denmark Nominal GDP

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Denmark Nominal GDP [Dataset]. https://www.ceicdata.com/en/indicator/denmark/nominal-gdp
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2020 - Dec 1, 2022
    Area covered
    Denmark
    Description

    Key information about Denmark Nominal GDP

    • Denmark Nominal GDP reached 97.0 USD bn in Dec 2022, compared with 96.7 USD bn in the previous quarter.
    • Nominal GDP in Denmark is updated quarterly, available from Mar 1990 to Dec 2022, with an average number of 72.0 USD bn.
    • The data reached an all-time high of 101.6 USD bn in Dec 2021 and a record low of 32.3 USD bn in Mar 1990.

    CEIC converts quarterly Nominal GDP into USD. Statistics Denmark provides Nominal GDP in local currency. Federal Reserve Board average market exchange rate is used for currency conversions.


    Related information about Denmark Nominal GDP

    • In the latest reports, Denmark GDP expanded 1.5 % YoY in Dec 2022.
    • Its GDP deflator (implicit price deflator) increased 5.5 % in Dec 2022.
    • Denmark GDP Per Capita reached 66,782.7 USD in Dec 2022.
    • Its Gross Savings Rate was measured at 36.0 % in Dec 2022.
    • For Nominal GDP contributions, Investment accounted for 26.2 % in Dec 2022.
    • Public Consumption accounted for 22.6 % in Dec 2022.
    • Private Consumption accounted for 44.0 % in Dec 2022.

  9. MARS EXPRESS MARS PFS EDR NOMINAL MISSION DATA V1.0

    • data.nasa.gov
    • catalog.data.gov
    Updated Mar 31, 2025
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    nasa.gov (2025). MARS EXPRESS MARS PFS EDR NOMINAL MISSION DATA V1.0 [Dataset]. https://data.nasa.gov/dataset/mars-express-mars-pfs-edr-nominal-mission-data-v1-0
    Explore at:
    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    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.

  10. o

    Nominal and adversarial synthetic PMU data for standard IEEE test systems

    • osti.gov
    Updated Jun 15, 2021
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    Pacific Northwest National Laboratory 2 (2021). Nominal and adversarial synthetic PMU data for standard IEEE test systems [Dataset]. http://doi.org/10.25584/DataHub/1788186
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    Dataset updated
    Jun 15, 2021
    Dataset provided by
    US
    Pacific Northwest National Laboratory 2
    PNNL
    Description

    GridSTAGE (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.

  11. F

    Nominal Gross Domestic Product for United States

    • fred.stlouisfed.org
    json
    Updated Jul 21, 2025
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    (2025). Nominal Gross Domestic Product for United States [Dataset]. https://fred.stlouisfed.org/series/NGDPXDCUSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 21, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPXDCUSA) from 1950 to 2024 about GDP and USA.

  12. F

    Nominal Broad U.S. Dollar Index

    • fred.stlouisfed.org
    json
    Updated Dec 1, 2025
    + more versions
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    (2025). Nominal Broad U.S. Dollar Index [Dataset]. https://fred.stlouisfed.org/series/DTWEXBGS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    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.

  13. M

    Nominal Budget Balance - statistical data from Brazil

    • mql5.com
    csv
    Updated Dec 3, 2025
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    MQL5 Community (2025). Nominal Budget Balance - statistical data from Brazil [Dataset]. https://www.mql5.com/en/economic-calendar/brazil/nominal-budget-balance
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 3, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Dec 6, 2023 - Oct 31, 2025
    Area covered
    Brazil
    Description

    Overview 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

  14. SRM 2693a Bituminous Coal (Nominal Mass Fraction 0.5 % Sulfur) Data

    • catalog.data.gov
    • s.cnmilf.com
    Updated Mar 14, 2025
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    National Institute of Standards and Technology (2025). SRM 2693a Bituminous Coal (Nominal Mass Fraction 0.5 % Sulfur) Data [Dataset]. https://catalog.data.gov/dataset/srm-2693a-bituminous-coal-nominal-mass-fraction-0-5-sulfur-data
    Explore at:
    Dataset updated
    Mar 14, 2025
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    SRM 2693a Electronic files containing assigned values and their uncertainties, and the data used to assign those values.

  15. T

    Finland - Nominal unit labour cost

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 27, 2020
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    TRADING ECONOMICS (2020). Finland - Nominal unit labour cost [Dataset]. https://tradingeconomics.com/finland/nominal-unit-labour-cost-eurostat-data.html
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Aug 27, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Finland
    Description

    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.

  16. T

    Uruguay - Nominal Effecive Exchange Rate

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 1, 2017
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    TRADING ECONOMICS (2017). Uruguay - Nominal Effecive Exchange Rate [Dataset]. https://tradingeconomics.com/uruguay/nominal-effecive-exchange-rate-wb-data.html
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jun 1, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Uruguay
    Description

    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.

  17. k

    Data from: Nominal Wage Rigidities and the Future Path of Wage Growth

    • kansascityfed.org
    pdf
    Updated Apr 30, 2024
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    (2024). Nominal Wage Rigidities and the Future Path of Wage Growth [Dataset]. https://www.kansascityfed.org/research/economic-bulletin/nominal-wage-rigidities-future-path-wage-growth-2018/
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    pdfAvailable download formats
    Dataset updated
    Apr 30, 2024
    Description

    Wage 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.

  18. F

    Nominal Imports of Goods for United States

    • fred.stlouisfed.org
    json
    Updated Sep 1, 2025
    + more versions
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    (2025). Nominal Imports of Goods for United States [Dataset]. https://fred.stlouisfed.org/series/NMGNSAXDCUSQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    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.

  19. S

    Spain Nominal GDP

    • ceicdata.com
    Updated Apr 15, 2023
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    CEICdata.com (2023). Spain Nominal GDP [Dataset]. https://www.ceicdata.com/en/indicator/spain/nominal-gdp
    Explore at:
    Dataset updated
    Apr 15, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2020 - Mar 1, 2023
    Area covered
    Spain
    Variables measured
    Gross Domestic Product
    Description

    Key information about Spain Nominal GDP

    • Spain Nominal GDP reached 377.3 USD bn in Mar 2023, compared with 352.5 USD bn in the previous quarter.
    • Nominal GDP in Spain is updated quarterly, available from Mar 1970 to Mar 2023, with an average number of 150.1 USD bn.
    • The data reached an all-time high of 435.8 USD bn in Jun 2008 and a record low of 9.2 USD bn in Mar 1970.

    CEIC converts quarterly Nominal GDP into USD. National Statistics Institute provides Nominal GDP in EUR. Federal Reserve Board average market exchange rate is used for currency conversions. Nominal GDP prior to Q1 1995 is sourced from the International Monetary Fund.


    Related information about Spain Nominal GDP

    • In the latest reports, Spain GDP expanded 3.8 % YoY in Mar 2023.
    • Its GDP deflator (implicit price deflator) increased 6.2 % in Mar 2023.
    • Spain GDP Per Capita reached 27,002.6 USD in Dec 2020.
    • Its Gross Savings Rate was measured at 24.2 % in Dec 2022.
    • For Nominal GDP contributions, Investment accounted for 19.1 % in Mar 2023.
    • Public Consumption accounted for 19.2 % in Mar 2023.
    • Private Consumption accounted for 58.1 % in Mar 2023.

  20. T

    Latvia - Nominal unit labour cost

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 29, 2020
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    TRADING ECONOMICS (2020). Latvia - Nominal unit labour cost [Dataset]. https://tradingeconomics.com/latvia/nominal-unit-labour-cost-eurostat-data.html
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Aug 29, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Latvia
    Description

    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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Board of Governors of the Federal Reserve System (2024). Yield Curve Models and Data - Nominal Yield Curve [Dataset]. https://catalog.data.gov/dataset/yield-curve-models-and-data-nominal-yield-curve
Organization logoOrganization logo

Yield Curve Models and Data - Nominal Yield Curve

Explore at:
Dataset updated
Dec 18, 2024
Dataset provided by
Federal Reserve Board of Governors
Federal Reserve Systemhttp://www.federalreserve.gov/
Description

These 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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