AndreaBozzo/ceres-open-data-index huggingface dataset:
Rejected - All With History

Information on insurance forms that were rejected by FMCSA. The dataset contains information on the insurance policy associated with the form, along with the date that the form was rejected and the reason for rejection (e.g., “Policy is already cancelled”). The dataset contains the DOT number and docket number of the carrier/broker/freight forwarder associated with the policy.  See dataset attachment "FMCSA Dataset Description and Data Definitions - Select Datasets" for more information.
Motus AuthHist

*This is a Daily Difference dataset*. Records showing the history of each authority granted to a carrier/broker/freight forwarder, along with the dates of the original authority action (e.g., “Active”) and the final authority action (e.g., “Inactive”). The dataset contains the USDOT number and docket number of the entity that holds or held the authority. As there can be multiple authorities for a single entity, there may be multiple records for an entity. 
Please refer attached data dictionary for additional details.

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### 🔗 Related Datasets

- [Motus AuthHist - All With History](https://odgavaprod.ogopendata.com//dataset/f036cf27-1b7d-4b3e-8fee-85a414cbf200) — *U.S Department of Transportation*
- [AuthHist](https://odgavaprod.ogopendata.com//dataset/84977798-32e4-4e5c-85ff-19f80a70ea98) — *U.S Department of Transportation*

---
Mosquito Trap Counts

The Norfolk Department of Public Health's Vector Control Division operates year-round to manage mosquito populations and safeguard residents from mosquito-borne diseases, while enhancing overall quality of life in Norfolk. Their efforts include placing mosquito traps at hundreds of locations across the city. Each morning, Vector Control staff retrieve the traps, analyze them in the lab, and record the number and species of mosquitoes, as well as test for any potential viruses or diseases.

This dataset provides detailed information on mosquito captures, including date, location, trap type, and species. It covers data from 2015 to the present and is updated weekly.
Motus BOC3 - All With History

*This is an All With History dataset*. This dataset contains records for each Blanket Company (BOC-3 agent) hired by a carrier/broker/freight forwarder. Each entity must hire a BOC-3 agent to represent them in legal matters to obtain operating authority. In some cases, entities may act as their own BOC-3 agent. The records in the dataset contain the BOC-3 agent’s name and address. The dataset also contains the USDOT number and Docket number of the represented entity. Please refer attached data dictionary for additional details.

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### 🔗 Related Datasets

- [Motus BOC3](https://odgavaprod.ogopendata.com//dataset/7ee5fe54-fd5f-40ee-ba79-08ba007d9c5f) — *U.S Department of Transportation*
- [BOC3 - All With History](https://odgavaprod.ogopendata.com//dataset/1602f757-60d8-46f3-88a8-6aa1922f2bee) — *U.S Department of Transportation*

---
SMS Input - Crash

This file contains the publicly available crash data used for the current month’s SMS calculations. Contains a record for each commercial motor vehicle involved in a crash including the U.S. DOT#, Report Number, Crash Date, State, and Vehicle Information. It also includes information about the severity of the crash (tow-away, injury, fatal) and the associated severity and time weights used in the SMS. File is comma delimited. One crash vehicle per row.
Address Request Survey Form

<p>This survey is publicly available, and is intented to recieve records directly from the public. The Survey is to be maintained by Bedford County GIS. <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>It is expected to be maintained indefinitely.</span></span></p>
Waterborne Tonnage between States on the Upper Mississippi River System and Louisiana 2022 - Total

This section quantifies the critical bulk freight connection between the American Midwest and the global export gateways of the Gulf Coast. The Upper Mississippi River System (UMRS)—comprising states like Illinois, Iowa, Minnesota, Missouri, and Wisconsin serves as a giant conveyor belt for commodities moving south to Louisiana

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### 🔗 Related Datasets

- [Percent Tonnage by Mode between States on the Upper Mississippi River System and Louisiana, 2022](https://odgavaprod.ogopendata.com//dataset/b058d39b-af6c-46ad-9596-cd6140af9097) — *U.S Department of Transportation*

---
Communities of Color - Over Statewide Average Open Data

<p>This data supports the identification of Virginia’s environmental justice communities with additional layers available on the Virginia EJScreen+ Experience Builder for community outreach purposes such as public meetings. It is intended for use by DEQ staff, partner agencies, environmental justice and community leaders, the regulated community, and the public.</p><p><a target='_blank' href='https://gisdata.deq.virginia.gov/mapper_ext/DataFactSheets/Environmental_Justice/DEQFactSheet_EJ_Communities_of_Color_Over_Statewide_Average_of_Communities_of_Color.pdf' rel='nofollow ugc noopener noreferrer'>Click Here</a>&nbsp;to view Data Fact Sheet</p>
HHS Data Inventory

The U.S. Department of Health and Human Services (HHS) publishes the HHS Data Inventory—a comprehensive metadata catalog of public and non-public data assets across the Department—in accordance with the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act, Pub. L. 115-435). This inventory enhances information discovery, data usability, and government transparency by providing public visibility into data assets from all HHS Divisions.

When more people access and use the data, we have more collective ability to identify gaps, errors, or other problems with this HHS metadata. Your feedback and suggestions will help HealthData.gov to expeditiously improve metadata quality and underlying data that matters most to you, and HHS commits to continuous improvements to information quality.
AADT 2017 Town of Mount Crawford

This dataset provides information about  2017 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Town of Mount Crawford      [Traffic Counts data legend, definitions, glossary, methodology and more information](https://www.vdot.virginia.gov/doing-business/technical-guidance-and-support/traffic-operations/traffic-counts/description/).

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---
### 🔗 Related Datasets

- [AADT 2018 Town of Mount Crawford](https://odgavaprod.ogopendata.com//dataset/b14e4ee7-d361-41f3-a936-cdc80291a5db) — *Department of Transportation*
- [AADT 2016 Town of Mount Crawford](https://odgavaprod.ogopendata.com//dataset/ecf498c2-6da8-4542-820d-af42fbec13e1) — *Department of Transportation*

---
AADT 2017 Greensville County

This dataset provides information about  2017 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Greensville County      [Traffic Counts data legend, definitions, glossary, methodology and more information](https://www.vdot.virginia.gov/doing-business/technical-guidance-and-support/traffic-operations/traffic-counts/description/).

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---
### 🔗 Related Datasets

- [AADT 2018 Greensville County](https://odgavaprod.ogopendata.com//dataset/38defc2f-a375-47ab-b968-222078a0b750) — *Department of Transportation*
- [AADT 2007 Greensville County](https://odgavaprod.ogopendata.com//dataset/14b30b0e-ab0c-42c5-9c06-25c2d56e56f4) — *Department of Transportation*

---
BTS ATRI Freight Mobility Initiative: County-to-county truck travel times (2023) - Experimental

Experimental estimates of the travel times experienced by a sample of freight trucks observed moving between all county pairs in the United States over the course of calendar year 2023.

Estimated by parsing GPS pings collected from a sample of approximately 300,000 trucks as part of the BTS ATRI Freight Mobility Initiative, these travel times were estimated (1) using the amount of elapsed time between the times that a truck was observed sequentially departing and arriving in each named county pair and (2) calculating 25th, 50th, and 75th travel times for all trucks observed moving between those counties over the course of 2023.
Mapping Injury, Overdose, and Violence - Census Tract

This file contains death counts and death rates for drug overdose, suicide, homicide and firearm injuries by census tract of residence (additional datasets exist for other levels of geography). The data is grouped by 2 different time periods including yearly and trailing twelve months. Please see data dictionary for intents and mechanisms included in each measure. 

 

When there are 1-9 deaths in an area, CDC uses a Bayesian model to calculate rates. A Bayesian model is a type of statistical model often used in geographic analysis. This model can improve stability of the rates in lower population areas and protects privacy by taking into account information from neighboring areas.
Traffic Laws & Training for Biking & Walking -The League of American Bicyclists

This dataset – States: Traffic Laws & Training for Pedestrian and Bicyclist Safety – looks at state(Virginia) laws and driving training that is related to bicycle and pedestrian safety.

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### 🔗 Related Datasets

- [Biking & Walking Road Safety - The League of American Bicyclists](https://odgavaprod.ogopendata.com//dataset/5b40ab0f-e157-4820-8c06-b758544db776) — *Datathon 2025*
- [Plans & Policies- The League of American Bicyclists](https://odgavaprod.ogopendata.com//dataset/369f38bf-d593-452b-963a-99b0e3f46d3b) — *Datathon 2025*

---
BTS ATRI Freight Mobility Initiative: County-to-county truck travel times (2024) - Experimental

Experimental estimates of the travel times experienced by a sample of freight trucks observed moving between all county pairs in the United States over the course of calendar year 2024.

Estimated by parsing GPS pings collected from a sample of approximately 300,000 trucks as part of the BTS ATRI Freight Mobility Initiative, these travel times were estimated (1) using the amount of elapsed time between the times that a truck was observed sequentially departing and arriving in each named county pair and (2) calculating 25th, 50th, and 75th travel times for all trucks observed moving between those counties over the course of 2024.
BTS ATRI Freight Mobility Initiative: County-to-county truck travel times (2021) - Experimental

Experimental estimates of the travel times experienced by a sample of freight trucks observed moving between all county pairs in the United States over the course of calendar year 2021.

Estimated by parsing GPS pings collected from a sample of approximately 300,000 trucks as part of the BTS ATRI Freight Mobility Initiative, these travel times were estimated (1) using the amount of elapsed time between the times that a truck was observed sequentially departing and arriving in each named county pair and (2) calculating 25th, 50th, and 75th travel times for all trucks observed moving between those counties over the course of 2021.
VDH PUD HAI Acute Surgical Site Infections

<!-- SIMILAR_DATASETS_START -->
---
### 🔗 Related Datasets

- [VDH PUD HAI Acute Hospital Specific Report](https://odgavaprod.ogopendata.com//dataset/5300c8d5-7d23-4809-b609-809681a78b3a) — *Virginia Department of Health*
- [VDH PUD HAI Acute Laboratory Identified Events](https://odgavaprod.ogopendata.com//dataset/392aa5cb-283e-4bf1-858e-ae4cc77de758) — *Virginia Department of Health*
- [VDH PUD HAI Acute Statewide SIR](https://odgavaprod.ogopendata.com//dataset/11e5c18f-60ca-4c41-81d9-3ab4422fb4f7) — *Virginia Department of Health*
- [VDH PUD HAI Acute Device Associated Events](https://odgavaprod.ogopendata.com//dataset/ad373015-5529-49ed-b7dd-260a567bdc70) — *Virginia Department of Health*
- [VDH PUD HAI LTACH Hospital Specific Report](https://odgavaprod.ogopendata.com//dataset/2279f792-dddd-4ff1-921d-64b82e8bc5d5) — *Virginia Department of Health*

---
AADT 2020 Shenandoah County

This dataset provides information about  2020 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Shenandoah County      [Traffic Counts data legend, definitions, glossary, methodology and more information](https://www.vdot.virginia.gov/doing-business/technical-guidance-and-support/traffic-operations/traffic-counts/description/).

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---
### 🔗 Related Datasets

- [AADT 2021 Shenandoah County](https://odgavaprod.ogopendata.com//dataset/0dd7d67d-2b9b-42df-8f34-1132b1ca8b5d) — *Department of Transportation*
- [AADT 2019 Shenandoah County](https://odgavaprod.ogopendata.com//dataset/9b145378-2ea0-4359-be06-6ff70c95cfac) — *Department of Transportation*

---
VIUS Data for VIUS tabulation Tool

A translation of the 2021 VIUS PUF file for use in the VIUS data tabulation tool

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---
### 🔗 Related Datasets

- [VIUS Public Use File Data](https://odgavaprod.ogopendata.com//dataset/d4288aeb-8087-48c4-ae29-6778035d6f92) — *U.S Department of Transportation*
- [Class 2's & 3s](https://odgavaprod.ogopendata.com//dataset/0f778097-aeb1-4309-9b6b-5804a81c4bb4) — *U.S Department of Transportation*
- [World](https://odgavaprod.ogopendata.com//dataset/ba0d030b-380e-479c-a4a5-705982eaa6e1) — *U.S Department of Transportation*
- [UP](https://odgavaprod.ogopendata.com//dataset/af056953-9c1c-44ff-8630-8f2927f199f7) — *U.S Department of Transportation*
- [NS](https://odgavaprod.ogopendata.com//dataset/9386fd64-40e3-419c-a4d9-b4b83b4badad) — *U.S Department of Transportation*

---
2022 NCFO Operators File

A data base of responses to the 2022 National Census of Ferries.

This file gives information about ferry operators.

Updated September 30, 2024. See errata for changes: https://www.bts.gov/sites/bts.dot.gov/files/2025-10/errata%20ncfo.xlsx

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### 🔗 Related Datasets

- [2024 NCFO Operators File](https://odgavaprod.ogopendata.com//dataset/2f27ac5f-5ed9-4706-9d2a-97f069e16d61) — *U.S Department of Transportation*
- [2020 NCFO Operators File](https://odgavaprod.ogopendata.com//dataset/f1cdca32-b633-45de-81e7-425b999b2b83) — *U.S Department of Transportation*
- [2022 NCFO Operator Segments File](https://odgavaprod.ogopendata.com//dataset/0dab57a6-400e-4b58-b91d-2d183f913023) — *U.S Department of Transportation*
- [National Census of Ferry Operators (NCFO) 2018: Operator data](https://odgavaprod.ogopendata.com//dataset/edfcf792-c737-4941-a2a0-15edad6069e9) — *U.S Department of Transportation*
- [Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 11-17-2025-to-11-23-2025](https://odgavaprod.ogopendata.com//dataset/af137106-8b73-482e-a532-a46bb0963d18) — *HealthData.Gov*

---
AADT 2007 Town of South Boston

This dataset provides information about  2007 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Town of South Boston       [Traffic Counts data legend, definitions, glossary, methodology and more information](https://www.vdot.virginia.gov/doing-business/technical-guidance-and-support/traffic-operations/traffic-counts/description/).

<!-- SIMILAR_DATASETS_START -->
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### 🔗 Related Datasets

- [AADT 2008 Town of South Boston](https://odgavaprod.ogopendata.com//dataset/e3524cbe-a465-4fd9-b7d2-d1ccf03e6170) — *Department of Transportation*
- [AADT 2017 Town of South Boston](https://odgavaprod.ogopendata.com//dataset/1d6680ca-2327-4f9c-bf53-ec2fbfc3c538) — *Department of Transportation*

---
VDH PUD HAI C auris Case Count

Candida auris (C. auris) is a type of yeast, first described in 2009, causing a serious global threat due to the increasing occurrence of patients infected or colonized with this difficult to treat and difficult to control organism.

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### 🔗 Related Datasets

- [VDH PUD HAI C auris Yearly](https://odgavaprod.ogopendata.com//dataset/4ebe80e3-5f75-43bf-a6a1-3fce5862f5c7) — *Virginia Department of Health*
- [VDH PUD HAI C auris Month Year](https://odgavaprod.ogopendata.com//dataset/b362e641-db0c-4c46-b128-3f52af6ff32e) — *Virginia Department of Health*

---
Pocket Guide to Transportation-Passenger Miles Traveled

The Passenger Miles Traveled (PMT) section provides a comprehensive measure of the total distance traveled by all passengers across various transportation modes. While "Vehicle Miles Traveled" (VMT) tracks how far vehicles go, PMT measures the actual movement of people—for example, a bus with 20 people traveling 10 miles generates 200 PMT.

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### 🔗 Related Datasets

- [Pocket Guide to Transportation-Vehicle Miles Traveled](https://odgavaprod.ogopendata.com//dataset/a219254f-7b4f-4077-a803-db77cd87d6e3) — *U.S Department of Transportation*

---
Pocket Guide to Transportation-Daily Passenger Travel

Daily Passenger Travel section provides a specialized look at the high-frequency movement of individuals. Unlike annual metrics that smooth out spikes, this section focuses on the daily "ebbs and flows" of the American people, utilizing advanced mobile device data and real-time transit/aviation feeds.

<!-- SIMILAR_DATASETS_START -->
---
### 🔗 Related Datasets

- [Pocket Guide to Transportation-Moving People](https://odgavaprod.ogopendata.com//dataset/5ca31c3b-3588-4f5a-98c5-dc7614587a85) — *U.S Department of Transportation*
- [Pocket Guide to Transportation-Moving Goods Updated](https://odgavaprod.ogopendata.com//dataset/5531e3d5-ab30-4183-ba82-c087ef7635e3) — *U.S Department of Transportation*
- [Pocket Guide to Transportation-Transportation Vehicles](https://odgavaprod.ogopendata.com//dataset/d54d7901-7332-4340-85d0-497431dc93ec) — *U.S Department of Transportation*
- [Pocket Guide to Transportation-Vehicle Miles Traveled](https://odgavaprod.ogopendata.com//dataset/a219254f-7b4f-4077-a803-db77cd87d6e3) — *U.S Department of Transportation*

---
Rail Equipment Accident/Incident Data (Form 54) Subset – Unique Train Accidents (Not at Grade Crossings)

October 2025 - Dataset View and OData/API Connection Change Notice - Please Read: https://data.transportation.gov/stories/s/6kdh-gsgx

Rail equipment accidents/incidents, collisions, derailments, fires, explosions, acts of God, or other events involving the operation of railroad on-track equipment (standing or moving) and causing reportable damages greater than the reporting threshold for the year in which the accident/incident occurred, must be reported by railroads to the FRA on Form FRA 6180.54 - Rail Equipment Accident/Incident.

Please note that this dataset displays unique train accidents. When an accident involves multiple railroads, each railroad must report its data. As a result, there can be multiple records for one accident. This dataset has been modified to pull and display one record for each accident. Highway-rail crossing incidents have also been removed from this dataset because they are not considered train accidents.

To see the full dataset with all reports with all data for all accidents, please visit https://data.transportation.gov/Railroads/Rail-Equipment-Accident-Incident-Data/85tf-25kj. 

The data dictionary can be found here: https://datahub.transportation.gov/api/views/byy5-w977/files/ac84a1c8-56d4-4a21-85c2-3a33080ab720?download=true&filename=Form54_Data_Dictionary.xlsx. 

For information on how to filter and export data, please visit: https://data.transportation.gov/stories/s/Download-Export-and-Print-User-Guide/s8hj-vns8/.

To view the data release schedule, please visit: https://data.transportation.gov/stories/s/Data-Release-Schedule/qfc9-tapk/.
Geospatial Dataset Views

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- [Cities](https://odgavaprod.ogopendata.com//dataset/f9362752-930c-4ab1-981a-7d54c2301587) — *U.S Department of Transportation*
- [A simple method for serving Web hypermaps with dynamic database drill-down](https://odgavaprod.ogopendata.com//dataset/dde48ccc-d886-4bf2-acf4-51101ddc0a26) — *HealthData.Gov*
- [category_tiles](https://odgavaprod.ogopendata.com//dataset/32657d9c-7c8d-40e7-b581-96b3ecf6026f) — *HealthData.Gov*
- [DQS Advanced Filters](https://odgavaprod.ogopendata.com//dataset/81597e7d-8d37-4cc6-b7be-7a763e200635) — *HealthData.Gov*
- [JMK_DHDS_POC](https://odgavaprod.ogopendata.com//dataset/a3868785-64b5-4218-870c-1b4a2b9d2b97) — *HealthData.Gov*

---
Docked Bikeshare Ridership by System, Year, Month, and Day

Historic data updated on 07/14/2023. Q4 of 2023 and data for all years on systems allowing parking outside of a docking station updated on 06/04/2024.

Bikeshare ridership by system, year, month, and day for bikeshare systems with docking stations. Data available by month starting in January 2019. Months are rearranged to include the same number of days of the week across years (see below). Data designed to show the impacts of COVID-19 on bikeshare ridership as featured at https://maps.dot.gov/BTS/dockedbikeshare-COVID/

Ridership data not available for all docked bikeshare systems. Only docked bikeshare systems with ridership data shown. Some systems included in the data permit users to leave a bicycle outside of a docking station; these trips are not counted. Trips defined as rides from point A to B. If user makes trip from B to A on same day, counted as a second trip. Trips labeled as round trips in Metro Bike Share and Indego trip files counted as 2 trips. Trips with no trip time are not counted. Trips with no start station identifier and/or end station id are not counted in totals. Trips shorter than 1 minute or greater than 2 hours excluded. Days aligned to include the same days of weeks in 2019 and 2020. Days included in each month are as follows:

Assigned month can be found in the attachments (https://data.bts.gov/api/views/6cfa-ipzd/files/36fde1b8-57c3-4d31-b9dc-bbc896ba346e?download=true&filename=days_included_in_docked_bikeshare_monthly_summaries.xlsx) 

Trips beginning on 12/31/2019 but ending on 01/01/2020 not included in totals.

Interactive map application featuring data: https://maps.dot.gov/BTS/dockedbikeshare-COVID/
Pocket Guide to Transportation-Transportation Facilities

Transportation Facilities section inventories the physical locations and structures that enable the movement of people and goods. While the "Network Length" focuses on the miles of road or rail, "Facilities" focuses on the nodes—the specific points of departure, arrival, and transfer.

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### 🔗 Related Datasets

- [Pocket Guide to Transportation-Transportation Network Length](https://odgavaprod.ogopendata.com//dataset/ced70174-7e41-47d1-8e6d-06b4687ae107) — *U.S Department of Transportation*
- [Pocket Guide to Transportation-Transportation Vehicles](https://odgavaprod.ogopendata.com//dataset/d54d7901-7332-4340-85d0-497431dc93ec) — *U.S Department of Transportation*

---