AndreaBozzo/ceres-open-data-index huggingface dataset:
Potential Sump Conditions

<div style='text-align:Left;'><div><div><p><span><span>The Potential Sump Conditions layer is the result of analysis performed on the 2018 Light Detection and Ranging (LiDAR) derived, Bare Earth Digital Elevation Model (DEM) and LAS Dataset. Please see the Data Capture Methodology section of this document for detailed information on how this dataset was created. This dataset is intended for internal use to aid in the following use cases:</span></span></p><ul><li><p><span><span>Tool to assess existing site conditions when responding to service requests for structural, yard and road flooding.</span></span></p></li></ul><ul><li><p><span><span>Tool to assess existing site conditions and potential impact of localized change in topography during redevelopment on adjacent properties if in sumps.</span></span></p></li></ul><ul><li><p><span><span>Tool to assess potential impact of overwhelmed stormwater inlets in sumps on adjacent structures due to ponding of stormwater runoff.</span></span></p></li></ul><ul><li><p><span><span>In concert with other spatial and field information, tool to prioritize sump conditions where structures may potentially be impacted based on depth of ponding, overland drainage area, and elevation of ground-level openings in structure.</span></span></p></li></ul><ul><li><p><span><span>Tool to determine topographic features of the sump area including inflows, outflow, and extents.</span></span></p></li></ul><ul><li><p><span><span>Ensure that proposed elevations of entry points into redeveloped structures (ie. areaways, walk-in basements, window wells) are adequately protected or situated away from the sumps if part of the redeveloped property is in a sump.</span></span></p></li></ul><p><span>Contact: Land Development Services</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>12/15/2020</span></span></p><p><span><span>Creation Date: </span></span><span><span>12/15/2020</span></span></p><p><span><span>Layer Name: LDSAMGR.POTENTIAL_SUMP_CONDITIONS</span></span></p><p><span /></p></div></div></div>
Community Parking District Restricted Areas

Va. Code Ann. § 46.2-1222.1 (Supp. 2005) authorizes the Board of Supervisors to adopt an ordinance regulating or prohibiting the parking of watercraft, boat trailers, motor homes, camping trailers, or any other trailer or semi-trailer on any and all public highways in residential areas.The criteria for the establishment, modification, expansion or abolition of a CPD are set forth in Fairfax County Code § 82-5B-3, which among other things, provides that all such requests must be made in the form of a petition to the Board, and all such petitions must be submitted to the Department of Transportation Director on forms provided by DOT. To qualify for consideration by the Board, Fairfax County Code § 82-5B-3 only requires the following: a petition that includes the names, addresses, and signatures of at least 60 percent of the addresses within the proposed CPD area and more than 50 percent of the addresses on each block within the proposed CPD area, the payment of a $10 fee per petitioning resident, a CPD area that contains the lesser of a minimum of five face blocks or any number of blocks that front on a minimum of 2000 linear feet of street, and a 75 percent of each block within the CPD area must be zones, planned, or developed in a residential area. If a petition meeta all the specified requirements, it is forwarded to the County Executive for consideration by the Board. Fairfax County Code § 82-5B-3(c) provides that the Board has reserved unto itself the authority to "approve, amend, or deny any petition for the creation, modification, or abolition" of any CPD. Thus, it is soley within the Board's discretion as to whether a proposed CPD shoubl be created, modified, or abolished.Contact: Department of Transportation, GIS CoordinatorData Accessibility: Publicly availableUpdate Frequency: As neededCreation Date: 5/15/2016Source Layer Name: DOTMGR.CPD_RESTRICTED_AREASSource Dataset Name: DOTMGR.TRAFFIC_OPERATIONS
Community Parking District Restricted Streets

Va. Code Ann. § 46.2-1222.1 (Supp. 2005) authorizes the Board of Supervisors to adopt an ordinance regulating or prohibiting the parking of watercraft, boat trailers, motor homes, camping trailers, or any other trailer or semi-trailer on any and all public highways in residential areas. The criteria for the establishment, modification, expansion or abolition of a CPD are set forth in Fairfax County Code § 82-5B-3, which among other things, provides that all such requests must be made in the form of a petition to the Board, and all such petitions must be submitted to the Department of Transportation Director on forms provided by DOT. To qualify for consideration by the Board, Fairfax County Code § 82-5B-3 only requires the following: a petition that includes the names, addresses, and signatures of at least 60 percent of the addresses within the proposed CPD area and more than 50 percent of the addresses on each block within the proposed CPD area, the payment of a $10 fee per petitioning resident, a CPD area that contains the lesser of a minimum of five face blocks or any number of blocks that front on a minimum of 2000 linear feet of street, and a 75 percent of each block within the CPD area must be zoned, planned, or developed in a residential area. If a petition meets all of the specified requirements, it is forwarded to the County Executive for consideration by the Board. Fairfax County Code § 82-5B-3(c) provides that the Board has reserved unto itself the authority to "approve, amend, or deny any petition for the creation, modification, or abolition" of any CPD. Thus, it is solely within the Board's discretion as to whether a proposed CPD should be created, modified, or abolished.Contact: Department of Transportation, GIS CoordinatorData Accessibility: Publicly availableUpdate Frequency: As neededCreation Date: 5/15/2016Source Layer Name: DOTMGR.CPD_RESTRICTED_STREETSSource Dataset Name: DOTMGR.TRAFFIC_OPERATIONS
Residential Permit Parking District Areas

Va. Code Ann. §§ 46.2-1220,46.2-1222 authorized the County to adopt Chapter 82-5A of the Code of the County of Fairfax, addressing Residential Parking Permit Districts. Residential Parking Permit Districts are created to impose on-street parking restrictions in certain designated areas of the County on public streets other than primary highways.Contact: Department of Transportation, GIS CoordinatorData Accessibility: Publicly availableUpdate Frequency: MonthlyCreation Date: 5/15/2016Source Layer Name: DOTMGR.RPPD_RESTRICTED_AREASSource Dataset Name: DOTMGR.TRAFFIC_OPERATIONS
Fairfax Connector System

This data set contains the full system map of the Fairfax Connector bus routes.Contact: Fairfax County Department of TransportationData Accessibility: Publicly AvailableUpdate Frequency: As NeededLast Revision Date: 2/9/2023Creation Date: 2/9/2023Feature Dataset Name: DOTMGR.TRANSITLayer Name: DOTMGR.FAIRFAX_CONNECTOR_SYSTEM
Restricted Parking Areas

A data layer containing areas with parking restrictions per County code. The data contains the parking restriction type and restriction time.Contact: Fairfax County Department of TransportationData Accessibility: Publicly AvailableUpdate Frequency: As NeededLast Revision Date: 11/30/2023Creation Date: 10/10/2023Feature Dataset Name: DOTMGR.TRAFFIC_OPERATIONSLayer Name: DOTMGR.NP_RESTRICTED_STREETS
Residential Permit Parking District Streets

Va. Code Ann. §§ 46.2-1220,46-.2-1222 authorized the County to adopt Chapter 82-5A of the Code of the County of Fairfax, addressing Residential Parking Permit Districts. Residential Perking Districts are created to impose on-street parking restrictions in certain designated areas of the County on public streets other than primary highways.Contact: Department of Transportation, GIS CoordinatorData Accessibility: Publicly availableUpdate Frequency: MonthlyCreation Date: 5/15/2016Source Layer Name: DOTMGR.RPPD_RESTRICTED_STREETSSource Dataset Name: DOTMGR.TRAFFIC_OPERATIONS
DOT Capital Improvement Linear Projects

This dataset contains commonly-used details and a visual representation of selected FCDOT capital projects included in the Transportation Status Report.  Contact: Department of Transportation, GIS CoordinatorData Accessibility: Publicly availableUpdate Frequency: BiannuallyLast Revision Date: 6/8/2025Creation Date: 10/28/2010Source Layer Name: DOTMGR.CAPITAL_LINEAR_PROJECTS
DOT Capital Improvement Spot Projects

This dataset contains commonly-used details and a visual representation of selected FCDOT capital projects included in the Transportation Status Report.  Spot projects are defined as improvement projects with a footprint less than 100 feet along a roadway or improvements affecting an intersection.Contact: Department of Transportation, GIS CoordinatorData Accessibility: Publicly availableUpdate Frequency: BiannuallyLast Revision Date: 6/8/2025Creation Date: 10/28/2010Source Layer Name: DOTMGR.CAPITAL_SPOT_PROJECTS
Police Traffic Crash Reports

<p style='margin-bottom:0in;'><span>This dataset has been published by the Virginia
Beach Police Department and data.virginiabeach.gov.<span> 
</span>The mission of data.virginiabeach.gov is to provide timely and accurate City
information to increase government transparency and access to useful and well
organized data by the general public, non-governmental organizations, and City
of Virginia Beach employees.</span></p>
NSSP Emergency Department Visit Trajectories by State and Sub State Regions- COVID-19, Flu, RSV, Combined

NSSP Emergency Department (ED) Visit Trajectories by State and Sub-State Regions- COVID-19, Flu, RSV, Combined. This dataset provides the percentage of emergency department patient visits for the specified pathogen of all ED patient visits for the specified geographic part of the country that were observed for the given week from data submitted to the National Syndromic Surveillance Program (NSSP). In addition, the trend over time is characterized as increasing, decreasing or no change, with exceptions for when there are no data available, the data are too sparse, or there are not enough data to compute a trend. These data are to provide awareness of how the weekly trend is changing for the given geographic region.  

Note that the reported sub-state trends are from Health Service Areas (HSA) and the data reported from the health care facilities located within the given HSA. Health Service Areas are regions of one or more counties that align to patterns of care seeking. The HSA level data are reported for each county in the HSA. 

More information on HSAs is available <a href="https://seer.cancer.gov/seerstat/variables/countyattribs/hsa.html"><b>here</b></a>.

For the emergency department time series, trajectory classifications reported on for sub-state (HSA) emergency department time series, trajectory classifications are based on approximations of the first derivative (slope) of trends that are smoothed using generalized additive models (GAMs). To determine time intervals in which the slope is sufficiently changing (i.e., rate of change distinguishable from 0), 95% confidence intervals for the slope approximations are calculated and assessed. Weeks with a 95% confidence interval not containing 0 are classified as increasing if the slope estimate is positive and decreasing if the slope estimate is negative. Weeks with a 95% confidence interval containing 0 are classified as stable. In the scenario that an HSA's time series is determined to be too sparse (i.e., many weeks with percentages of 0%), a model is not fit, and the HSA is classified as “sparse”.  

For additional information, please see: <a href="https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>

Updated once per week on Fridays.
Health Insurance Exchanges Annual Effectuated Enrollment

The Health Insurance Exchanges Annual Effectuated Enrollment data provide select metrics on annual average effectuated enrollment across the Federally Facilitated Exchange (FFE) and State Based Exchanges on the Federal Platform (SBE-FPs), which both use the federal enrollment platform (HealthCare.gov), as well as State Based Exchanges (SBEs) that operate their own eligibility and enrollment platforms.

These metrics include average effectuated enrollment, the average  number of consumers with Advanced Premium Tax Credit (APTC) subsidies, the average number of consumers with Cost Sharing Reduction (CSR) subsidies, and the average APTC subsidy amount for  consumers receiving APTC, at the state level.

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- [Health Insurance Marketplace: Summary Enrollment Data for the Initial Annual Open Enrollment Period](https://odgavaprod.ogopendata.com//dataset/3ec698d0-fb52-4d42-ab4a-9dae42c62be2) — *HealthData.Gov*

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Rates of Laboratory-Confirmed RSV, COVID-19, and Flu Hospitalizations from the RESP-NET Surveillance Systems

The Respiratory Virus Hospitalization Surveillance Network (RESP-NET) is a network that conducts, active, population-based surveillance for laboratory confirmed hospitalizations associated with Influenza, COVID-19, and RSV. The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. Hospitalization rates show how many people in the surveillance area are hospitalized with influenza, COVID-19, and RSV compared to the total number of people residing in that area. 

Data will be updated weekly. Data are preliminary and subject to change as more data become available.
Level of Acute Respiratory Illness (ARI) Activity by State

Respiratory illness activity is monitored using the acute respiratory illness (ARI) metric. ARI captures a broad range of diagnoses from emergency department visits for respiratory illnesses, from the common cold to severe infections like influenza, RSV and COVID-19. It captures illnesses that may not present with fever, offering a more complete picture than the previous influenza-like illness (ILI) metric.  

 Updated once per week on Fridays.
NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category

NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined – by Demographic Category 

For additional information, please see: <a href="https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>.

Updated once per week on Fridays.
2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined

2023 Respiratory Virus Response - NSSP Emergency Department Visits - COVID-19, Flu, RSV, Combined
<br>
For additional information, please see:  <a href="https://www.cdc.gov/ncird/surveillance/respiratory-illnesses/index.html#companion-guide"><b>Companion Guide: NSSP Emergency Department Data on Respiratory Illness</b></a>
<br>
Respiratory Conditions Treated in the Emergency Department

Methods for Creating Respiratory Conditions:

The International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) discharge diagnostic codes listed in the Acute Respiratory Index (ARI) were used as a starting point to define respiratory conditions. For a list of diagnostic codes included in the ARI metric, visit the <a href="https://cdn.ymaws.com/www.cste.org/resource/resmgr/pdfs/CDC_Broad_Acute_Respiratory_.pdf">Acute Respiratory Illness Technical Brief</a>.

These codes were further refined to exclude pathogen-specific codes and, when appropriate, were grouped using ICD-10-CM parent codes and <a href="https://hcup-us.ahrq.gov/toolssoftware/ccsr/ccs_refined.jsp#overview">Clinical Classifications Software Refined (CCSRs)</a> categories, which organize ICD-10-CM codes into 14 clinically meaningful categories.

Short codes listed capture all codes underneath them (e.g., J09 includes J09.X1–J09.X9).

Findings for each of the 14 condition categories were analyzed by age group.

Source: National Syndromic Surveillance Program (NSSP)

The NSSP is a collaboration among CDC, local and state health departments, and private sector partners. Together, these partners collect, share, and analyze automated electronic healthcare data in near-real time.

National data include emergency departments in all 50 states, the District of Columbia, and Guam. View the <a href="https://www.cdc.gov/nssp/media/images/2024/04/Participation-with-date.png">Coverage Map</a>.
Health Insurance Exchanges Monthly Effectuated Enrollment

The Health Insurance Exchanges Monthly Effectuated Enrollment data provide select metrics on monthly effectuated enrollment across the Federally Facilitated Exchange (FFE) and State‑Based Exchanges on the Federal Platform (SBE‑FPs), which both use the federal enrollment platform (HealthCare.gov), as well as State‑Based Exchanges (SBEs) that operate their own eligibility and enrollment platforms.

These metrics include effectuated enrollment counts by state, exchange platform type, year and month.

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- [Health Insurance Marketplace: Summary Enrollment Data for the Initial Annual Open Enrollment Period](https://odgavaprod.ogopendata.com//dataset/3ec698d0-fb52-4d42-ab4a-9dae42c62be2) — *HealthData.Gov*

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Derelict Program Dashboard - Community Development Dashboard Series

<p><span style='background-color:rgb(255,255,255); color:rgb(20,20,20); 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;'>The Derelict Program Dashboard features data for the Community Development Derelict Program. Through this dashboard, users can explore statistics about properties in the program as well as measured outcomes and impacts of the program.&nbsp;</span></span></p>

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- [Capital Improvement Program Dashboard - Budget Dashboard Series](https://odgavaprod.ogopendata.com//dataset/1203cfab-18e1-447b-ae22-32f289d540bf) — *City of Lynchburg - GIS Portal *
- [Redevelopment and Housing Zones](https://odgavaprod.ogopendata.com//dataset/15d68438-2414-4685-9be3-7ea7dbe1cc04) — *City of Lynchburg - GIS Portal *
- [Development Projects - Locations](https://odgavaprod.ogopendata.com//dataset/63f18d02-7b45-493d-b73a-60a8da928ba1) — *City of Lynchburg - GIS Portal *

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Medicare Part B Spending by Drug

The Medicare Part B by Drug dataset presents information on spending for drugs administered in doctors’ offices and other outpatient settings by physicians and other healthcare providers to Medicare Part B enrollees. 

The dataset focuses on average spending per dosage unit and change in average spending per dosage unit over time. It also includes consumer-friendly descriptions of the drug uses, clinical indications, and manufacturer(s).

Drug spending metrics for Part B drugs represent the full value of the product, including the Medicare payment and beneficiary liability. All Part B drug spending metrics are calculated at the HCPCS level.

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- [Medicare Quarterly Part B Spending by Drug](https://odgavaprod.ogopendata.com//dataset/f4348cf8-3019-46aa-88bc-733e1186b181) — *HealthData.Gov*
- [Medicare Quarterly Part B Spending by Drug](https://odgavaprod.ogopendata.com//dataset/f1198777-3eb4-46a7-b7f7-3ee5f4d5dc2a) — *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*

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Medicare Part D Spending by Drug

The Medicare Part D by Drug dataset presents information on spending for drugs prescribed to Medicare beneficiaries enrolled in Part D by physicians and other healthcare providers. Drugs prescribed in the Medicare Part D program are drugs patients generally administer themselves.

 

The dataset focuses on average spending per dosage unit and change in average spending per dosage unit over time. It also includes spending information for manufacturer(s) of the drugs as well as consumer-friendly information of drug uses and clinical indications.

 

Drug spending metrics for Part D drugs are based on the gross drug cost, which represents total spending for the prescription claim, including Medicare, plan, and beneficiary payments. The Part D spending metrics do not reflect any manufacturers’ rebates or other price concessions as CMS is prohibited from publicly disclosing such information.

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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*

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Medicare Part B Discarded Drug Units

The Medicare Part B Discarded Drug Units dataset provides spending information on claims for Medicare Part B drugs that were identified as having discarded amounts of a drug. As of January 1, 2017, the Centers for Medicare & Medicaid Services (CMS) requires all physicians, hospitals, and other providers submitting claims for Medicare Part B drugs to report any discarded amount of a single use vial or other single use package drug on its claim for payment. With the passage of the Infrastructure Investment and Jobs Act in November 2021, manufacturers must pay a refund to Medicare for discarded amounts above a specified threshold effective for drugs furnished beginning with January 1, 2023.

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- [Medicare Quarterly Part B Spending by Drug](https://odgavaprod.ogopendata.com//dataset/f4348cf8-3019-46aa-88bc-733e1186b181) — *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*

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