AndreaBozzo/ceres-open-data-index huggingface dataset:
AADT 2008 Town of Scottsville

This dataset provides information about  2008 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Town of Scottsville       [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 2009 Town of Scottsville](https://odgavaprod.ogopendata.com//dataset/16be19bb-4f81-49e9-813d-b3f71094fced) — *Department of Transportation*
- [AADT 2008 Town of Scottsburg](https://odgavaprod.ogopendata.com//dataset/e642fbfa-b04d-48ec-bc13-6d27a5beb3a3) — *Department of Transportation*

---
2003-2004 Fall Membership School Summaries by Ethnicity and Grade and Gender for each public school

Background:

Each year, the Virginia Department of Education collects statistics on the number of students enrolled in public school on  September 30th. This report is submitted by each school in Virginia which officially enrolls students (i.e. student records are maintained on a Virginia Teacher's Register or automated system).  Student counts are reported by grade assignment and ethnicity.  Excluded from the September 30 count are Special education preschool pupils, pupils in hospitals, clinics or 
detention homes, and local programs such as vocational and alternative education centers (i.e.,
centers or schools which receive, but do not officially enroll students).

Definitions:

The six racial/ethnic categories are as follows:

American Indian or Alaskan native - a person having origins (ancestry) in any of the original
peoples of North America, who maintains cultural identification through tribal affiliation or community recognition. 

Asian or Pacific Islander - a person having origins (ancestry) in any of the original peoples of the
Far East, Southeast Asian, the Pacific Islands, or the Indian subcontinent. Included, for example, are
peoples of China, Korea, the Philippine Islands, Samoa, and India. 

Black, not of Hispanic origin - a person having origins (ancestry) in any of the black racial groups of Africa.

Hispanic - a person of Mexican, Puerto Rican, Cuban, Central or South American, or other Spanish
culture or origin (ancestry), regardless of race.

White, not of Hispanic origin - a person having origins (ancestry) in any of the original peoples of
Europe, North Africa, or the Middle East. 

Unspecified - a person who cannot be classified according to the definitions of any of the five
racial/ethnic categories.

The following abbreviations are used in the Fall Membership reports:

PK - Pre-Kindergarten
KG - Kindergarten
PG - Post Graduate
UG - Ungraded

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### 🔗 Related Datasets

- [2004-2005 Fall Membership School Summaries by Ethnicity, Grade, and Gender for each public school](https://odgavaprod.ogopendata.com//dataset/2e34c098-5fc3-4325-85cc-a0f05fc0e411) — *Department of Education*
- [2002-2003 Fall Membership School Summaries by Ethnicity and Grade and Gender for each public school](https://odgavaprod.ogopendata.com//dataset/b86bb39a-4807-4917-83d3-19474da667b1) — *Department of Education*

---
AADT 2017 Isle of Wight County

This dataset provides information about  2017 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Isle of Wight 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 Isle of Wight County](https://odgavaprod.ogopendata.com//dataset/4abd07a1-bbfa-44e5-ba49-b6ed7984445a) — *Department of Transportation*
- [AADT 2016 Isle of Wight County](https://odgavaprod.ogopendata.com//dataset/f5702c38-c793-4450-800e-bb984d8d28c4) — *Department of Transportation*

---
AADT 2018 Town of Bedford

This dataset provides information about  2018 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Town of Bedford      [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 2017 Town of Bedford](https://odgavaprod.ogopendata.com//dataset/b18d0bb9-3959-4022-b06d-f22c5d4f942d) — *Department of Transportation*
- [AADT 2019 Town of Bedford](https://odgavaprod.ogopendata.com//dataset/73c99e56-74f7-4283-8cd1-c41e8c1022c2) — *Department of Transportation*

---
Pocket Guide to Transportation-Transportation Network Length

This section provides a bird's-eye view of the sheer scale of the U.S. infrastructure. It measures the physical extent of the various "veins and arteries" that move the nation's people and goods.

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---
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- [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 Facilities](https://odgavaprod.ogopendata.com//dataset/9970b2e3-0e4b-4c05-932d-5f7c90727e05) — *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*

---
Security Event Rates, Top 25 UZAs

This dataset details unlinked passenger trips/vehicle revenue miles (UPT/VRM) for 5 different metrics: Major Passenger Assaults and Homicides, Major Worker Assaults and Homicides, Fatalities (safety), Fatalities (security), Fatalities (trespasser/suicide). It breaks the metrics out by mode (bus or rail) for each month going back to January 2023 in the top 25 largest urbanized areas (UZAs) (based on population). It also has a national-level for each metric, so individual UZAs or groups of UZAs can be compared against the national trend.

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---
### 🔗 Related Datasets

- [Non-Major Safety and Security Events](https://odgavaprod.ogopendata.com//dataset/311dc509-ab93-4e75-9088-6ff96ce829cd) — *U.S Department of Transportation*
- [Major Safety and Security Events](https://odgavaprod.ogopendata.com//dataset/0156c417-578f-48da-8f18-6122be4fb496) — *U.S Department of Transportation*

---
Public-Use Linked Mortality Files

NCHS has linked data from various surveys with death certificate records from the National Death Index (NDI). Linkage of the NCHS survey participant data with the NDI mortality data provides the opportunity to conduct a vast array of outcome studies designed to investigate the association of a wide variety of health factors with mortality. The Linked Mortality Files (LMF) have been updated with mortality follow-up data through December 31, 2019.

Public-use Linked Mortality Files (LMF) are available for 1986-2018 NHIS, 1999-2018 NHANES, and NHANES III. The files include a limited set of mortality variables for adult participants only. The public-use versions of the NCHS Linked Mortality Files were subjected to data perturbation techniques to reduce the risk of participant re-identification. For select records, synthetic data were substituted for follow-up time or underlying cause of death. Information regarding vital status was not perturbed.
National Ambulatory Medical Care Survey Provider Component, 2023-2024, restricted-use data

The NAMCS Provider Survey Component focuses on the provider experience. No visit-level data were collected in 2023 nor 2024, only provider-level. Researchers can access restricted NAMCS Provider Survey Component data through the NCHS Research Data Center. Note that 2023 and 2024 were considered pilot years for the NAMCS Provider Survey Component. Consequently, these data are unweighted and will not allow for national estimates.  Two files are available—one for office-based physicians and one for physician associates.

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- [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*

---
Complete Monthly Ridership (with Adjustments and Estimates)

The Monthly module includes a limited set of key indicators reported by transit properties. Data is reported on a monthly basis, by mode and type of service, for a fiscal year.

The four data items included are:

1.        Unlinked Passenger Trips 
2.        Vehicle Revenue Miles
3.        Vehicle Revenue Hours
4.        Vehicles Operated in Maximum Service (Peak Vehicles)

This dataset presents these values in their own column in a long format (each row of the file is an individual Agency/Mode/TOS/Date). The data source is shared with the static Excel file hosted on the FTA website here: https://www.transit.dot.gov/ntd/data-product/monthly-module-adjusted-data-release. This dataset differs from the static Excel file in its formatting as well as being updated weekly, to capture data as it is reported and validated for a given publication month.

Mode Codes:
Alaska Railroad (AR)
Cable Car (CC)
Commuter Rail (CR)
Heavy Rail (HR)
Hybrid Rail (YR)
Inclined Plane (IP)
Light Rail (LR)
Monorail/Automated Guideway (MG)
Streetcar Rail (SR)
Aerial Tramway (TR)
Commuter Bus (CB)
Bus (MB)
Bus Rapid Transit (RB)
Demand Response (DR)
Ferryboat (FB)
Jitney (JT)
Público (PB)
Trolleybus (TB)
Vanpool (VP)


Mode and Type of Service Changes and Impacts on this Time Series:

"Monthly data are reported by mode and type of service. From 2002 through 2011, there were 16 modes in the NTD. NTD monthly ridership data is now reported according to refined modal classifications. Service previously reported as bus (MB) now may be reported as either MB, Commuter Bus (CB), or Bus Rapid Transit (RB). Additionally, service previously categorized as Light Rail (LR) now may be reported as LR or Streetcar (SR). 

Similarly, Types of Service were refined in Report Year 2019. From 2002 - 2018, there were two types of service: Directly Operated (DO) and Purchased Transportation (PT). As of 2019, Purchased Transportation is now classified such that agencies report the purchased transportation based on the type of contractor: general third party (PT), taxicab operator (TX), or transportation network company (TN). FTA concurrently removed the ""Demand Response Taxi"" (DT/PT) mode in 2019. FTA now considers all such service as Demand Response (DR) with Taxi (TX) type of service and this time series has been updated to reflect this change. "					

For more information on this dataset, please consult the full Read Me in the attached file.

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---
National Electronic Health Records Survey, Restricted data: 2012-2015, 2017-2019, 2021

The National Electronic Health Records Survey (NEHRS) is an annual survey of non-federally employed, office-based physicians practicing in the United States (excluding those in the specialties of anesthesiology, radiology, and pathology). NEHRS began in 2008 and was originally designed as an annual mail supplement to the National Ambulatory Medical Care Survey (NAMCS). Since 2012, NEHRS has been administered as a survey independent of NAMCS.
Data from NEHRS can be used to produce state and national estimates of EHR adoption and capabilities, burden associated with EHRs, and progress physicians have made towards meeting the policy goals of the HITECH Act. In more recent years, survey questions have also asked about Promoting Interoperability programs, sponsored by the Centers for Medicare and Medicaid Services (CMS).

Restricted file data dictionaries are available.

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---
National Hospital Care Survey 2013-2016, 2019-2021, restricted data

The National Hospital Care Survey (NHCS) is designed to provide accurate and reliable health care statistics that answer key questions of interest to health care and public health professionals, researchers, and health care policy makers. This includes tracking the latest trends affecting hospitals and health care organizations and factors that influence the use of health care resources, the quality of health care, and disparities in health care services provided to population subgroups in the United States.
NHCS collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings include inpatient, emergency (EDs), and outpatient departments (OPDs). The survey will provide hospital utilization statistics for the Nation. In addition, NHCS will also be able to monitor national trends in substance use-related ED visits including opioid visits.

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### 🔗 Related Datasets

- [National Hospital Care Survey, 2020 public-use file](https://odgavaprod.ogopendata.com//dataset/201142e7-f387-4930-adc7-ffe23fd5c98a) — *HealthData.Gov*
- [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*

---
Virginia Population by Urban Area (ACS 5-Year)

2013-2024 Virginia Population by Urban Area. Contains estimates.

U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B01001
Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)

The United States Census Bureau's American Community Survey (ACS):
-What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html)
-Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html)
-Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.

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### 🔗 Related Datasets

- [Virginia Population by Census Block Group (ACS 5-Year)](https://odgavaprod.ogopendata.com//dataset/5b321c48-c444-46e8-a8d5-b815bb252f07) — *Office of INTERMODAL  Planning and Investment*
- [Virginia Population Hispanic or Latino Origin by Race by Census Block Group (ACS 5-Year)](https://odgavaprod.ogopendata.com//dataset/753efe08-d259-47fd-a29e-a97d321e3bd8) — *Office of INTERMODAL  Planning and Investment*

---
FY 2021_NCVAS Demographics Personal_Income_Data  For Virginia State Summary

This dataset is comprised of 1-year estimate data from the American Community Survey published as of 2021.

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- [FY 2021_NCVAS Demographics Data_Period_of_Service For Virginia State Summary](https://odgavaprod.ogopendata.com//dataset/93d76c46-457c-4de7-b42d-bf66147975d8) — *US Department of Veteran Affairs*
- [FY 2021_NCVAS Demographics Data_Age_Distribution For Virginia State Summary](https://odgavaprod.ogopendata.com//dataset/76bfe0e5-bcf1-4b4e-962a-07fa9504943d) — *US Department of Veteran Affairs*

---
AADT 2015 Town of Round Hill

This dataset provides information about  2015 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Town of Round Hill       [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 2005 Town of Round Hill](https://odgavaprod.ogopendata.com//dataset/201edd54-ef2c-4fba-9524-a055059a5945) — *Department of Transportation*
- [AADT 2014 Town of Round Hill](https://odgavaprod.ogopendata.com//dataset/c9dfc2c4-e285-4f69-b81a-353a27fb1180) — *Department of Transportation*

---
AADT 2022 Rockingham County

This dataset provides information about  2022 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Rockingham 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 2023 Rockingham County](https://odgavaprod.ogopendata.com//dataset/833a8a26-48ce-4d03-ab6d-308939250b99) — *Department of Transportation*
- [AADT 2024 Rockingham County](https://odgavaprod.ogopendata.com//dataset/3b1135ff-6c53-4275-a019-9baaded84f88) — *Department of Transportation*

---
AADT 2008 Town of The Plains

This dataset provides information about  2008 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Town of The Plains       [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 2009 Town of The Plains](https://odgavaprod.ogopendata.com//dataset/53a98c26-2ab9-4ade-b795-88591c0ce0a6) — *Department of Transportation*
- [AADT 2007 Town of The Plains](https://odgavaprod.ogopendata.com//dataset/7dc11036-9d1a-4775-b8dd-92f73cb46d3a) — *Department of Transportation*

---
AADT 2008 Town of Occoquan

This dataset provides information about  2008 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Town of Occoquan       [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 2007 Town of Occoquan](https://odgavaprod.ogopendata.com//dataset/f5bba1d3-4e51-4e1d-8694-e6c749edc357) — *Department of Transportation*
- [AADT 2009 Town of Occoquan](https://odgavaprod.ogopendata.com//dataset/942405a7-a96a-45b8-9f26-0bb3f51471a0) — *Department of Transportation*

---
AADT 2014 Loudoun County

This dataset provides information about  2014 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Loudoun 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 2013 Loudoun County](https://odgavaprod.ogopendata.com//dataset/64f47745-dad4-4312-b35e-3ada9204abda) — *Department of Transportation*
- [AADT 2012 Loudoun County](https://odgavaprod.ogopendata.com//dataset/f1949e2e-2618-44e3-a55a-2e7ad4df62a4) — *Department of Transportation*

---
AADT 2021 Town of Ivor

This dataset provides information about  2021 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Town of Ivor      [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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---
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- [AADT 2019 Town of Ivor](https://odgavaprod.ogopendata.com//dataset/f355cde2-0f6c-4f09-a63d-12dd7ac4f527) — *Department of Transportation*

---
AADT 2019 Frederick County

This dataset provides information about  2019 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Frederick 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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- [AADT 2018 Frederick County](https://odgavaprod.ogopendata.com//dataset/477a3d4c-9a47-4c7d-b9e9-9bb734ea97b5) — *Department of Transportation*

---
AADT 2022 Louisa County

This dataset provides information about  2022 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Louisa 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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- [AADT 2021 Louisa County](https://odgavaprod.ogopendata.com//dataset/2ea0cd90-bb4c-438a-a0aa-7ecf12540b17) — *Department of Transportation*
- [AADT 2023 Louisa County](https://odgavaprod.ogopendata.com//dataset/f1b4db0a-627a-4a66-a28f-4b0fbce081c8) — *Department of Transportation*

---
AADT 2024 Dinwiddie County

This dataset provides information about  2024 Annual Average Daily Traffic (AADT) Volume Estimates by Section of Route in Dinwiddie 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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- [AADT 2023 Dinwiddie County](https://odgavaprod.ogopendata.com//dataset/fc3dd93a-cf21-45c8-84bd-9504f46527d3) — *Department of Transportation*
- [AADT 2020 Dinwiddie County](https://odgavaprod.ogopendata.com//dataset/4e4a6b2f-f0d0-4873-a20a-2d945e6bcfc2) — *Department of Transportation*

---