AndreaBozzo/ceres-open-data-index huggingface dataset:
County-level Aggregate Expenditure and Risk Score Data on Assignable Beneficiaries

The Shared Savings Program County-level Aggregate Expenditure and Risk Score Data on Assignable Beneficiaries Public Use File (PUF) for the Medicare Shared Savings Program (Shared Savings Program) provides aggregate data consisting of per capita Parts A and B FFS expenditures, average CMS-HCC prospective risk scores and total person-years for Shared Savings Program assignable beneficiaries by Medicare enrollment type (End Stage Renal Disease (ESRD), disabled, aged/dual eligible, aged/non-dual eligible).
CRMP Appendix D: Draft TAC Recommendations

<p>Resilience Technical Advisory Committee (TAC) developed a set of recommendations to address severe and repetitive flooding in coastal Virginia. This document outlines the initial draft recommendations developed during the 2024 quarter two (Q2) meetings by the four TAC subcommittees:</p><ul><li>Research, Data, and Innovation&nbsp;</li><li>Project Prioritization&nbsp;</li><li>Funding&nbsp;</li><li>Outreach and Coordination&nbsp;</li></ul><p>Recommendations submitted by members via email following the Q2 TAC meetings are italicized. The final recommendations of the TAC evolved significantly over the course of multiple meetings, incorporating feedback and insights from ongoing discussions, as well as individual contributions gathered through surveys and worksheets between meetings. The final approved recommendations are presented in their refined form in Chapter 3 of the main body of the CRMP. Detailed information on how these recommendations progressed, are available via the TAC meeting recordings, materials, and minutes, are available on <a target='_blank' href='https://www.dcr.virginia.gov/crmp/' rel='nofollow ugc noopener noreferrer'>DCR’s website</a>.</p>
Work Schedules and Sleep Patterns of Railroad Employees - Signalmen Daily Log

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)
Rail Mileposts

The FRA Milepost is a spatial file that originates of multiple sources and contains point locations of mileposts along the FRA's rail network.  The mileposts was developed from varies sources and should only be used as a reference file.  The railroad lines and their mileposts are privately owned and are subjected of changed based on the rail owner.  If used for identifying specific locations, please contact the railroad to verify the mileposts numbers and their locations.
Work Schedules and Sleep Patterns of Railroad Employees

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)
GradeDec.Net - Online Tool

General Purpose Data and Statistics.  GradeDEC.Net is a web-based tool for the investment analysis of highway-rail grade crossing improvements.  It provides state departments of transportation, local governments, metropolitan planning agencies, inspectors, and railroad companies with the online ability to conduct benefit-cost analysis of highway-rail grade crossing infrastructure investments. GradeDEC.Net allows users to divert highway traffic to and from closed or separated grade crossings to adjacent crossings, and calculate a full set of benefits including changes in accident risk associated with changes in traditional grade crossing technology. Users can also evaluate supplemental safety measures listed in the Notice of Proposed Rulemaking covering the use of locomotive horns at highway-rail grade crossing. Users are also able to save an analysis on-site for later revision and update and submit reports directly to the FRA.
Work Schedules and Sleep Patterns of Railroad Employees - Train and Engine Service (Railroad) Data

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)
Work Schedules and Sleep Patterns of Railroad Employees - Fatigue Accident Validation Database

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)
Work Schedules and Sleep Patterns of Railroad Employees - Maintenance of Way Background Survey

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)
Work Schedules and Sleep Patterns of Railroad Employees - Dispatcher Background Survey

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)
Work Schedules and Sleep Patterns of Railroad Employees - Dispatcher Daily Log

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)
Work Schedules and Sleep Patterns of Railroad Employees - Maintenance of Way Daily Log

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)
Rail Equipment Accidents - Ten Year Accident/Incident Overview by Railroad

"This file contains reported cases of collisions, derailments, fires, explosions, acts of God, or other events involving the operation of railroad on-track equipment and involving damages exceeding the reporting threshold for the year reported. National files from 1975 through the current year are available for download. In addition, individual files by State are available for the years 1991 through the current year.
Work Schedules and Sleep Patterns of Railroad Employees - Signalmen Background Survey

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)
Rail Equipment Accidents - Accident/Incident Overview by State/Region

"This file contains reported cases of collisions, derailments, fires, explosions, acts of God, or other events involving the operation of railroad on-track equipment and involving damages exceeding the reporting threshold for the year reported. National files from 1975 through the current year are available for download. In addition, individual files by State are available for the years 1991 through the current year.
Work Schedules and Sleep Patterns of Railroad Employees - Train and Engine Service (Passenger) Data

The Federal Railroad Administration (FRA) sponsored a study of the work schedules and sleep patterns of railroad employees. The purpose of the study was to understand work-schedule related fatigue that affects various categories of railroad employees by documenting a group's work/rest schedules and sleep patterns to ascertain their impact on the level of fatigue/alertness.Employees surveyed include: signalmen, maintenance of way (MOW) workers, dispatchers, and train & engine service workers (in both freight and passenger train service)
GradeDec.Net

General Purpose Data and Statistics.  GradeDEC.Net is a web-based tool for the investment analysis of highway-rail grade crossing improvements.  It provides state departments of transportation, local governments, metropolitan planning agencies, inspectors, and railroad companies with the online ability to conduct benefit-cost analysis of highway-rail grade crossing infrastructure investments. GradeDEC.Net allows users to divert highway traffic to and from closed or separated grade crossings to adjacent crossings, and calculate a full set of benefits including changes in accident risk associated with changes in traditional grade crossing technology. Users can also evaluate supplemental safety measures listed in the Notice of Proposed Rulemaking covering the use of locomotive horns at highway-rail grade crossing. Users are also able to save an analysis on-site for later revision and update and submit reports directly to the FRA.
Daily County-Level PM2.5 Concentrations 2001-2022

This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the county level for 2001-2022. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
Daily Census Tract-Level Ozone Concentrations 2021 - 2022

This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2021-2022. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Census tract-level concentration data are available in 5-year periods due to size constraints. This dataset and file will be updated until it is complete to cover 2021-2025. Earlier periods of census-tract data can be found on data.cdc.gov through the search function.  

Please refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. 

By using these data, you signify your agreement to comply with the following requirements: 
1. Use the data for statistical reporting and analysis only. 
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
Daily County-Level Ozone Concentrations 2001-2022

This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Data are at the county level for 2001-2022. The dataset includes the maximum, median, mean, and population-weighted mean concentration. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:
1. Use the data for statistical reporting and analysis only.
2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
Provider of Services File - Clinical Laboratories

The Provider of Services (POS) Clinical Laboratories (CLIA) data provides information on CLIA demographics and types of testing services the facility provides. In this file you will find provider number, name, address and characteristics of the participating institution providers.

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National Ambulatory Medical Care Survey, 2020-2021, restricted physician-only data

The National Ambulatory Medical Care Survey (NAMCS), conducted by the National Center for Health Statistics (NCHS), collects data from physician offices to describe practice characteristics and patterns of ambulatory care delivery in the United States. After the COVID-19 pandemic began, NCHS added questions to the 2020 and 2021 NAMCS Physician Induction Interview to evaluate physicians’ experiences related to the pandemic. Specifically, physicians in office-based settings were asked about: shortages of personal protective equipment (PPE); experiences with COVID-19 testing; providers in their office who tested positive for COVID-19; turning away COVID-19 patients; and telemedicine or telehealth technology use at their office. Measures related to these topic areas are further described and displayed in data dashboards here: https://www.cdc.gov/nchs/covid19/namcs.htm.
Census 2020 Block

<div style='text-align:Left;'><div><div><p><span>The 2020 decennial census blocks within Fairfax County. This data was acquired from the US Census Bureau, with fields slightly customized by Fairfax County Department of Management and Budget, Economic, Demographic, and Statistical Research unit.</span></p><p><span>Contact: </span><span>Department </span><span /><span>of Management &amp; Budget</span></p><p><span><span>Data Accessibility: Publicly Available</span></span></p><p><span><span>Update Frequency: As Needed</span></span></p><p><span><span>Last Revision Date: </span></span><span><span>1/6/2023</span></span></p><p><span><span>Creation Date: </span></span><span><span>1/6/2023</span></span></p><p><span><span>Feature Dataset Name: DIT_GIS.DSMHSMGR.FEDERAL_CENSUS_2020</span></span></p><p><span><span>Layer Name: DIT_GIS.DSMHSMGR.FEDERAL_BLOCK_2020</span></span></p><p><span /><span /></p></div></div></div>
Bedford County Water Service Area - BRWA Open Data

<p>Layer was originally created using best available paper documentation for Bedford Regional Water Authority (BRWA) GIS use. The Bedford County <a target='_blank' href='https://bedfordcova.interactivegis.com/' rel='nofollow ugc noopener noreferrer'>iGIS site</a> (ParcelViewer replacement), which is shared publicly, is a dependency of this layer. BRWA is responsible for maintaining the data, which is updated on as-needed basis. This layer is expected to be maintained indefinitely.&nbsp;</p>
Approved Residential Units: General Plan Policy Areas

<p>The <strong>2025 Residential Pipeline Report</strong> identifies the remaining <strong>Approved Residential Units </strong>left to be built within Loudoun County as of a certain date. It includes information on both remaining Age-Restricted and Affordable Housing Units.</p><p>The chart to the right illustrates how the pipeline report reaches the number of remaining units left to be built. The <strong>Approved Units</strong> are from major projects (10+ total units), which are refined by actual subdivisions. The <strong>Built Units/Permitted Units</strong> includes both the approved building permits for the current year &amp; previously built or permitted units. The <strong>Remaining Units </strong>are<strong> </strong>simply the Approved Units minus the Built Units.</p><p>To review the entire <strong>2025 Pipeline Report </strong>for <strong>Loudoun County 2019 General Plan Policy Areas</strong>, please visit the Loudoun County Department of Planning and Zoning&apos;s Residential Pipeline web page.</p>
National Electronic Health Records Survey, Public-use data: 2018, 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).
eVA Procurement Data 2017

eVA is used by more than 245 state agencies and institutes of higher education, and 900+ local governments and public bodies, to announce bidding opportunities, receive quotes, order placement & approvals, contract management and more.  Since its inception in 2001, eVA has transformed the way the Commonwealth buys goods and services from a decentralized, paper based process to a centralized, electronic platform.  Providing industry leading procurement solutions for all public bodies, the marketplace includes nearly 100,000 businesses competing to provide the Commonwealth with quality goods and services, resulting in more than $25 million in savings annually.  This dataset contains the purchase orders for the goods and services.

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- [eVA Procurement Data 2020](https://odgavaprod.ogopendata.com//dataset/0663b397-972c-42be-8e41-cd31dfe4d41c) — *Department of General Services*
- [eVA Procurement Data 2021](https://odgavaprod.ogopendata.com//dataset/c1d1121f-f6cc-4985-92ba-4a20a15107ae) — *Department of General Services*
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