This dataset contains information about bridges, including their structural and environmental parameters. It aims to provide insights into various attributes affecting bridge conditions and maintenance requirements. The dataset can be used for predictive modeling, statistical analysis, or infrastructure management.

Columns:

1. Bridge_ID: Unique identifier for each bridge.
2. Location: Region or area where the bridge is located.
3. Age (years): The age of the bridge in years.
4. Material: Primary material used in the bridge construction (e.g., Steel, Concrete, Wood).
5. Length (m): Length of the bridge in meters.
6. Width (m): Width of the bridge in meters.
7. Height (m): Height of the bridge in meters.
8. Traffic_Volume (vehicles/day): Average number of vehicles that cross the bridge per day.
9. Weather_Conditions: Typical weather conditions surrounding the bridge (e.g., Rainy, Sunny, Cloudy).
10. Water_Flow_Rate (m³/s): Water flow rate in cubic meters per second beneath the bridge.

Bridge Data is a large multi-domain and multi-task dataset, with 7,200 demonstrations constituting 71 tasks across 10 environments. The dataset is collected using a low-cost yet versatile 6-DoF WidowX250 robot arm and contains 7,200 demonstrations of a robot performing 71 kitchen tasks across 10 environments with varying lighting, robot positions, and backgrounds. It can be used to boosting generalization of robotic skills and empirically study how it can improve the learning of new tasks in new environments.

This dataset tracks annual total students amount from 2015 to 2023 for The Bridge

This repository contains the BRIDGE dataset from the paper Bridging RL Theory and Practice with the Effective Horizon. The code used to generate the data is available at https://github.com/cassidylaidlaw/effective-horizon.

See README.md for details about the contents of the dataset. summary.csv contains an overview of properties of the MDPs. summary_sticky.csv contains an overview of the sticky-action versions of the MDPs investigated in the paper The Effective Horizon Explains Deep RL Performance in Stochastic Environments. bridge_dataset.zip contains the tabular representations of the MDPs and analysis results.

If you find the dataset useful for your research, please consider citing our papers:

@inproceedings{laidlaw2023effectivehorizon, title={Bridging RL Theory and Practice with the Effective Horizon}, author={Laidlaw, Cassidy and Russell, Stuart and Dragan, Anca}, booktitle={NeurIPS}, year={2023} }

@inproceedings{laidlaw2024stochasticeffectivehorizon, title={The Effective Horizon Explains Deep RL Performance in Stochastic Environments}, author={Laidlaw, Cassidy and Zhu, Banghua and Russell, Stuart and Dragan, Anca}, booktitle={ICLR}, year={2024} }

Financial overview and grant giving statistics of Bridge Project Inc.

This is a dataset containing synthetic images of portal frame bridges, along with semantic segmentation masks for the following classes: - deck - abutment - wing wall - haunch - edge beam

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The total number of images is 3364, with a resolution 640x480 pixels. The dataset contains images of 500 different randomly generated portal frame bridges, where at least 10% of the entire bridge is in the image (avoid images being too close to the bridge), and at least 10% of the image contains the bridge (avoid images too far from the bridge, or viewing angles not directed at the bridge).

The idea of the dataset is to simulate images taken during a close bridge inspection, by traversing the bridge.

📜 BRIDGE-Open Dataset The BRIDGE-Open dataset is an open-access subset of the datasets used by the BRIDGE benchmark. This dataset includes the 55 tasks of the open-access datasets that can be released to the public. Each dataset should be used in accordance with the license of its original release (the source of each dataset is listed at our BRIDGE paper, Supplementary Section 5.)

Due to privacy and security considerations of clinical data, regulated-access datasets can not… See the full description on the dataset page: https://huggingface.co/datasets/YLab-Open/BRIDGE-Open.

The Bridge dataset was developed using data provided by the Bridge Inspection Database. The Bridge Inspection Database contains a record for each Bridge Structure on public roadways in Texas. This includes Bridges maintained by TxDOT, Toll Authorities, Counties, Municipalities, and other jurisdictions. Bridge Inspection data is the primary source used to update the National Bridge Inspection File (NBI) in Washington. For more information on Bridge attribute data, please consult the Bridge Inspection Coding Guide and the Bridge Data Dictionary found at the links below:TxDOT Bridge Coding GuideTxDOT Bridge Data DictionaryUpdate Frequency: NightlySecurity Level: Public

Bridges-Rail in the United States According to The National Bridge Inspection Standards published in the Code of Federal Regulations (23 CFR 650.3), a bridge is: A structure including supports erected over a depression or an obstruction, such as water, highway, or railway, and having a track or passageway for carrying traffic or other moving loads. Each bridge was captured as a point which was placed in the center of the "main span" (highest and longest span). For bridges that cross navigable waterways, this was typically the part of the bridge over the navigation channel. If no "main span" was discernable using the imagery sources available, or if multiple non contiguous main spans were discernable, the point was placed in the center of the overall structure. Bridges that are sourced from the National Bridge Inventory (NBI) that cross state boundaries are an exception. Bridges that cross state boundaries are represented in the NBI by two records. The points for the two records have been located so as to be within the state indicated by the NBI's [STATE_CODE] attribute. In some cases, following these rules did not place the point at the location at which the bridge crosses what the user may judge as the most important feature intersected. For example, a given bridge may be many miles long, crossing nothing more than low lying ground for most of its length but crossing a major interstate at its far end. Due to the fact that bridges are often high narrow structures crossing depressions that may or may not be too narrow to be represented in the DEM used to orthorectify a given source of imagery, alignment with ortho imagery is highly variable. In particular, apparent bridge location in ortho imagery is highly dependent on collection angle. During verification, TechniGraphics used imagery from the following sources: NGA HSIP 133 City, State or Local; NAIP; DOQQ imagery. In cases where "bridge sway" or "tall structure lean" was evident, TGS attempted to compensate for these factors when capturing the bridge location. For instances in which the bridge was not visible in imagery, it was captured using topographic maps at the intersection of the water and rail line. TGS processed 784 entities previously with the HSIP Bridges-Roads (STRAHNET Option - HSIP 133 Cities and Gulf Coast). These entities were added into this dataset after processing. No entities were included in this dataset for American Samoa, Guam, Hawaii, the Commonwealth of the Northern Mariana Islands, or the Virgin Islands because there are no main line railways in these areas. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, leading and trailing spaces were trimmed from all text fields. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is given by the publication date which is 09/02/2009. A more precise measure of currentness cannot be provided since this is dependent on the NBI and the source of imagery used during processing.

This dataset tracks annual distribution of students across grade levels in The Bridge At Aces

This map service provides general bridge information for all transportation structures within the Washington State Bridge Inventory System (WSBIS) in Washington State. This includes bridges, large culverts, tunnels, pedestrian & railroads passing over state routes, and pedestrian bridges adjacent to state routes on state right of way. The accuracy and completeness of the transportation structure data (including the structure location) are the responsibility of the structure owner. In cases where pedestrian & railroad structures pass over state or local agency routes, this data may be the responsibility of the route owner under the structure. Note that local agencies do not include a complete inventory of pedestrian & railroad structures in local agency rights of way. Please Note: If there is a vertical clearance restriction related to the bridge/structure, the minimum clearance will appear in either the MinVertClrncOverDeck, MinVertClrncUnderBridge or TunnelMinVertClrncOverRdBy10 fields. For more specific and detailed vertical clearance information please use the WSDOT Bridge Vertical Clearance Trip Planner: https://www.wsdot.wa.gov/Bridge/Structures/BVCTP.htm(Chrome Browser works best)Reference Document: Criteria for Identifying Bridge Condition Stateshttps://www.wsdot.wa.gov/mapsdata/GeoDataCatalog/Maps/noscale/DOT_Bridge/WSDOTBridgeConditionStates_Criteria.pdf#page=1Reference Document: Attribute Definition Guidehttps://www.wsdot.wa.gov/mapsdata/GeoDataCatalog/Maps/noscale/DOT_Bridge/WSBIMCodingGuide_Appendix2C_2020.pdfIf you have any questions about this data, please contact George Comstock, Bridge Preservation Office (BPO) - comstog@wsdot.wa.gov-(360) 570-2540. If you're having trouble viewing these services, please email OnlineMapSupport@wsdot.wa.gov.To download the most current version of this data, please visit the Washington State Department of Transportation's Geo Data Distribution Catalog website: https://www.wsdot.wa.gov/mapsdata/geodatacatalog/default.htmCity of Tacoma Bridges: https://cityoftacoma.org/government/city_departments/public_works/engineering/bridgesInternal Contact: Steve Carstens, P.E.Professional EngineerCity of Tacoma|Engineering Division|Public Worksscarstens@cityoftacoma.org

A data set from an extensive experimental benchmark study of the Hell Bridge Test Arena (HBTA), a full-scale steel bridge subject to imposed damage, has been established. The data set includes organized dynamic response and load measurement data of the bridge under different structural state conditions, where the structural state conditions range from an undamaged (reference) state to known damage states. Furthermore, the data set includes acceleration and strain data from the response monitoring and acceleration data from the load monitoring, where a modal vibration shaker is used as an excitation source. The data is collected in one h5-file (hierarchical data format version 5) with a sampling rate of 100 Hz. Signal processing and resampling of the data has been performed according to the description provided in the references below. The data set is now published in this open-access data repository and can be accessed and downloaded freely. As such, the data set provides an important benchmark to the scientific community within bridge damage detection and SHM.

This dataset is designed to identify the response of a truss bridge when subjected to dynamic forces. The bridge was excited across various damage scenarios, and the effect of detaching and reattaching a single strut was also assessed. The tests were carried out at the Laboratory for Verification and Validation (LVV) at the University of Sheffield.

This dataset is about book subjects. It has 2 rows and is filtered where the books is The bridge : a play in one act. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Bridges are inspected every two years at minimum; bridges in poor condition are inspected more frequently. These inspections rate the conditions of various bridge elements. The inspection records are stored in a bridge management system. The Federal Highway Administration annually collects data on bridges more than 20 feet long from each state’s department of transportation, including the Pennsylvania Department of Transportation and New Jersey Department of Transportation, and stores it in their National Bridge Inventory.

This analysis considers a bridge's deck, super, and substructure ratings, or the culvert rating for a culvert. A score between 0 and 9 is given for each component. Bridges with scores between 7 to 9 for all three components are rated "good," those with any component scores of 4 or lower are rated "poor." A bridge that doesn't fall into a good or poor rating is considered “fair”.

Most bridges are on state roads and are maintained by the state’s department of transportation. Some bridges are on local roads and are maintained by local governments. The "Other" category covers bridges maintained by turnpike and toll authorities.

Financial overview and grant giving statistics of Bridge Steps (Dba The Bridge Homeless Recovery Center)

Historical Dataset of The Bridge At Aces is provided by PublicSchoolReview and contain statistics on metrics:Distribution of Students By Grade Trends

Financial overview and grant giving statistics of The Bridge Foundation Inc

The Fremont Bridge Bicycle Counter began operation in October 2012 and records the number of bikes that cross the bridge using the pedestrian/bicycle pathways. Inductive loops on the east and west pathways count the passing of bicycles regardless of travel direction. The data consists of a date/time field: Date, east pathway count field: Fremont Bridge NB, and west pathway count field: Fremont Bridge SB. The count fields represent the total bicycles detected during the specified one hour period. Direction of travel is not specified, but in general most traffic in the Fremont Bridge NB field is travelling northbound and most traffic in the Fremont Bridge SB field is travelling southbound.

This layer was developed to aid the Bridge Division in maintaining and referencing the bridges of the City of Philadelphia. Examples include: routing trucks with height and weight restrictions through out the city, maintenance, and obtaining bridge number.

Trouble downloading or have questions about this City dataset? Visit the OpenDataPhilly Discussion Group