The National Bridge Inventory Elements dataset is as of June 20, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data describes more than 615,000 of the Nation's bridges located on public roads, including Interstate Highways, U.S. highways, State and county roads, as well as publicly-accessible bridges on Federal and Tribal lands. The inventory data present a complete picture of the location, description, classification, and general condition data for each bridge. The element data present a breakdown of the condition of each structural and bridge management element for each bridge on the National Highway System (NHS). The Specification for the National Bridge Inventory Bridge Elements contains a detailed description of each data element including coding instructions and attribute definitions. The Coding Guide is available at: https://doi.org/10.21949/1519106. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1519105
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Number of bridges, bridge areas by building material, number of substructures by length classes, grades, bridge classes, age structure by bridge area, number of bridges and bridge areas by federal state. Bridge statistics Explanation Bridge statistics (PDF)
Scouring of streambed material surrounding bridge structures is a leading cause of bridge failure in the United States. Damages resulting from bridge failure oftentimes lead to financial burdens and loss of life. To date, there has been no comprehensive evaluation of the current (2016) effectiveness of the guidance or overall long-term performance of bridge-scour countermeasures provided in the Federal Highway Administration (FHWA), Hydraulic Engineering Circular No. 23, Bridge Scour and Stream Instability Countermeasures. To that end, the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration, obtained bathymetric, topographical, and other data at 20 sites across the United States to begin an evaluation of the effectiveness of bridge-scour countermeasures. This data release contains the supplemental bathymetric and topographic data for Dudunake and others (2018).
Financial overview and grant giving statistics of Bridging Community Resources
Financial overview and grant giving statistics of Bridging Education Training and Achievement
This book has been prepared for the purpose of assisting engineers in the work of bridge design. It contains a collection of notes on various aspects of bridge design, together with necessary tables and diagrams, included also are certain standard forms relating to design and relevant specifications which the designer finds it necessary to conssult from time to time in preparing bridge designs, caluclating quantities and compling estimates of cost. The data book is not intended as a complete treatise on bridge design nor is it intended to replace “Technical instructions” but rather to supplement these instructions and to assist in the everyday application of the standards.
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"Image.zip" contains 955 corrrosion images, 1480 crack images, 1269 free lime images, 873 water leakage images, and 1244 spalling images. These images are labeled with numbers from 0 to 6 including the background. The "Label.zip" file contains the labeled images, and the "Image.json" file contains the label information.
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Number of Bridge data was reported at 33,572.000 Unit in 2017. This records an increase from the previous number of 32,325.000 Unit for 2016. Number of Bridge data is updated yearly, averaging 13,912.000 Unit from Dec 1973 (Median) to 2017, with 45 observations. The data reached an all-time high of 33,572.000 Unit in 2017 and a record low of 10,244.000 Unit in 1973. Number of Bridge data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.TA004: Road and Bridge Statistics.
https://www.icpsr.umich.edu/web/ICPSR/studies/36528/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36528/terms
Beginning with the school year 2006-07, the Child Nutrition and WIC Reauthorization Act of 2004 required school districts participating in the National School Lunch Program or other child nutrition programs to adopt and implement a wellness policy. The Healthy, Hunger-Free Kids Act of 2010 continued and strengthened this requirement. This study was intended to provide detailed insight into the contents of the congressionally-mandated district wellness policies for school years 2006-07 (first year of the mandate) through 2013-14 (last year of funding-supported data collection). The data file contains coded information about the required wellness policy components, along with other components that are known to contribute to student health and wellness: nutrition education; standards for USDA child nutrition programs and school meals; nutrition standards for competitive and other foods and beverages; physical education; physical activity; staff wellness and modelling; stakeholder involvement; messaging, marketing and promotion; evaluation; and reporting. There is a separate record in the data file for each district, grade level (elementary, middle and high school) and school year combination.
Levin, Dan, and Zhang, Luyao, (2022) “Bridging Level-K to Nash Equilibrium.” Review of Economics and Statistics 104:6, 1329–1340.
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This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
Financial overview and grant giving statistics of Bridging The Worlds
Timeseries data from 'Mid-span Golden Gate Bridge (ggbc1)' (gov_noaa_nws_ggbc1)
This inventory of Detroit pedestrian bridges and their condition assessments is derived from the Michigan Department of Transportation (MDOT) and includes pedestrian bridges that span State of Michigan roadways only.Inspections of pedestrian bridges over State of Michigan routes are performed on a risk-based interval by MDOT, not to exceed 24 months. While not governed by the National Bridge Inspection Standards, these inspections are performed to maintain safety of the traveled way and to provide information needed for asset management. Routine Inspections of the entire structure may be supplemented by Special Inspections of Bridge Components that require more frequent monitoring. Condition ratings for pedestrian bridges are evaluated following the National Bridge Inventory Condition Ratings in a similar manner to vehicle bridges. These ratings are based on a 0-9 scale, where 0 is "Failed condition" and 9, "Excellent condition". Condition ratings are assigned for the deck, superstructure and substructure of each bridge or for each culvert. A culvert is a structure that allows passage under a roadway and has a short span (less than 20 feet).
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Vietnam Length of Bridges: Total data was reported at 998,715.000 m in 2016. This records an increase from the previous number of 939,023.000 m for 2015. Vietnam Length of Bridges: Total data is updated yearly, averaging 924,573.000 m from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 1,070,606.000 m in 2012 and a record low of 642,606.000 m in 2006. Vietnam Length of Bridges: Total data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.TA011: Road, Inland Waterways and Bridge Statistics.
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Key Table Information.Table Title.Selected Sectors: Industry Bridge Statistics on 2022 NAICS Basis With Distribution Among 2017 NAICS-Based Industries for the U.S.: 2022.Table ID.ECNBRIDGE12022.EC2200BRIDGE1.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Selected Sectors: Industry Bridge Statistics on 2022 NAICS Basis With Distribution Among 2017 NAICS-Based Industries for the U.S.: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2025-02-06.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesRange indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown at the U.S. level only. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 6-digit 2022 NAICS code by 8-digit 2017 NAICS bridge code levels for the following sectors:Mining (21)Manufacturing (31)Wholesale Trade (42)Retail Trade (44)Information (51)Finance and Insurance (52)Other Services (except Public Administration (81)For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.Post Processing/Errata.Table EC2200BRIDGE1 (originally published on February 6, 2025) was updated on April 24, 2025, to incorporate an enhanced suppression pattern..FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher l...
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The relationship between the UK Environmental Accounts and the Digest of UK Energy Statistics (DUKES), 1990 to 2023.
The National Bridge Inventory dataset is as of June 27, 2024 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data describes more than 615,000 of the Nation's bridges located on public roads, including Interstate Highways, U.S. highways, State and county roads, as well as publicly-accessible bridges on Federal and Tribal lands. The inventory data present a complete picture of the location, description, classification, and general condition data for each bridge. The element data present a breakdown of the condition of each structural and bridge management element for each bridge on the National Highway System (NHS). The Recording and Coding Guide for the Structure Inventory and Appraisal of the Nation's Bridges contains a detailed description of each data element including coding instructions and attribute definitions. The Coding Guide is available at: https://doi.org/10.21949/1519105.
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Key Table Information.Table Title.Selected Sectors: Industry Bridge Statistics on 2017 NAICS Basis With Distribution Among 2022 NAICS-Based Industries for the U.S.: 2022.Table ID.ECNBRIDGE22022.EC2200BRIDGE2.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Selected Sectors: Industry Bridge Statistics on 2017 NAICS Basis With Distribution Among 2022 NAICS-Based Industries for the U.S.: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2025-02-06.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesRange indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown at the U.S. level only. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 6-digit 2022 NAICS code by 8-digit 2017 NAICS bridge code levels for the following sectors:Mining (21)Manufacturing (31)Wholesale Trade (42)Retail Trade (44)Information (51)Finance and Insurance (52)Other Services (except Public Administration (81)For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.Post Processing/Errata.Table EC2200BRIDGE2 (originally published on February 6, 2025) was updated on April 24, 2025, to incorporate an enhanced suppression pattern..FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher l...
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Statistics illustrates consumption, production, prices, and trade of Bridges, Bridge Sections, Towers and Lattice Masts (Of Iron or Steel) in French Guiana from 2007 to 2024.
The National Bridge Inventory Elements dataset is as of June 20, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data describes more than 615,000 of the Nation's bridges located on public roads, including Interstate Highways, U.S. highways, State and county roads, as well as publicly-accessible bridges on Federal and Tribal lands. The inventory data present a complete picture of the location, description, classification, and general condition data for each bridge. The element data present a breakdown of the condition of each structural and bridge management element for each bridge on the National Highway System (NHS). The Specification for the National Bridge Inventory Bridge Elements contains a detailed description of each data element including coding instructions and attribute definitions. The Coding Guide is available at: https://doi.org/10.21949/1519106. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1519105