AndreaBozzo/ceres-open-data-index huggingface dataset:
Weekly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System

The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area. 

Data are preliminary and subject to change as more data become available. Data will be updated weekly.
Monthly Rates of Laboratory-Confirmed RSV Hospitalizations from the RSV-NET Surveillance System

The Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) is a network that conducts active, population-based surveillance for laboratory-confirmed RSV-associated hospitalizations in children younger than 18 years of age and adults. RSV-NET, along with the Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) an the Influenza Hospitalization Surveillance network (FluSuv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. Because the surveillance areas and age groups included in surveillance have changed over time, trends should be interpreted with caution. RSV-NET is CDC’s source for important data on rates of hospitalizations associated with RSV. Hospitalization rates show how many people in the surveillance area are hospitalized with RSV, compared to the total number of people residing in that area.

Data are preliminary and subject to change as more data become available. Data will be updated weekly.

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### 🔗 Related Datasets

- [Weekly Rates of Laboratory-Confirmed RSV Hospitalizations from the RSV-NET Surveillance System](https://odgavaprod.ogopendata.com//dataset/5a4ca006-db5d-4077-856f-ea0cf1c22edc) — *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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Monthly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System

The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area.

Data are preliminary and subject to change as more data become available. Data will be updated weekly.
Biennial Overview of Post-acute and Long-term Care in the United States: Data from the 2020 National Post-acute and Long-term Care Study

The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on post-acute and long-term care providers every two years. The goal is to monitor post-acute and long-term care settings with reliable, accurate, relevant, and timely statistical information to support and inform policy, research, and practice. These data tables provide an overview of the geographic, organizational, staffing, service provision, and user characteristics of paid, regulated long-term and post-acute care providers in the United States. The settings include adult day services centers, home health agencies, hospices, inpatient rehabilitation facilities, long-term care hospitals, and nursing homes.
Virginia Septage Acceptance Layer

<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This feature layer represents reviewed and approved wastewater treatment facilities that accept hauled septage (septic) and other regulated wastes. Data is collected through a Survey123 form completed by permitted facilites and reviewed by DEQ staff prior to publication as a points layer displayed on DEQ's public Environmental Data Mapper (EDM).</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>The layer is designed to support public-facing applications that help waste haulers locate appropriate disposal facilities, thereby promoting lawful disposal practices and reducing environmental impacts. Data is maintained through an ongoing submission and approval workflow.</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a target='_blank' href='https://gisdata.deq.virginia.gov/mapper_ext/DataFactSheets/Water_Permitting/PretreatmentFacilities_DataFactSheet.pdf' rel='nofollow ugc noopener noreferrer'>GIS Data Fact Sheet</a></p>
Revocation - All With History

*Dataset*  Information on carrier/broker/freight forwarder authorities that have been revoked by FMCSA. The dataset includes the DOT number and docket number of the entity, the type of authority revoked, and the reason. 
Note: This dataset was last refreshed on 05/14/2026 and will no longer be updated. See attached "FMCSA Operating Authority Data Dictionary_V2" for more information.

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### 🔗 Related Datasets

- [Revocation - All With History](https://odgavaprod.ogopendata.com//dataset/1a73b5cb-d67b-4422-aef7-7a01b1f8cf37) — *U.S Department of Transportation*
- [Revocation](https://odgavaprod.ogopendata.com//dataset/428770b4-901a-432d-b3c3-ff67f23891b7) — *U.S Department of Transportation*
- [Motus RevokeSuspend – All With History](https://odgavaprod.ogopendata.com//dataset/f6eda40f-246c-4a5c-9fe3-bbfb50a3a045) — *U.S Department of Transportation*

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National Syndromic Surveillance Program (NSSP) Mental Health-Related Emergency Department Visit Rates

<b>Data Source Description</b>: Syndromic surveillance provides public health officials with a timely system for detecting, understanding, and monitoring health threats. By tracking symptoms and conditions reported by patients in emergency departments (EDs), public health officials can monitor trends in critical areas. When people seek treatment in the ED, the facility sends de-identified data—including chief complaint, diagnosis codes, patient characteristics, and location—to state and local health departments to share with CDC.    
 

<b>Indicator definitions</b>: Definitions include both (1) visits with acute mental health crises or evaluations where the sole or primary reason for the visit is related to mental health, and (2) visits where a mental health condition may not be the sole reason for the visit but was noted to be present in the discharge diagnosis or chief complaint.  

ED data are displayed as rates.    

* The rate explains the number of ED visits related to a specific mental health condition out of every 100,000 ED visits.  The monthly rate of ED visits related to a condition is calculated as the number of ED visits related to a condition as a fraction of the total number of ED visits in a given month multiplied by 100,000. ED visits with and without mental health conditions where patients were under 12 years old and where age, sex, and race and ethnicity were unknown were included in the denominators when calculating rates for the overall population.  

* Rates are also calculated within demographic groups such as age, sex, and race and ethnicity. This is done by comparing the number of ED visits related to a condition within a demographic group as a fraction of the total number of ED visits for that demographic group in a given month multiplied by 100,000. 

 

<b>Data quality and methodology</b>: More than 6,900 health care facilities covering 50 states, the District of Columbia, and Guam contribute data to NSSP daily. More than 80% of U.S. emergency departments send data to NSSP. Data are collected continuously, and for the purposes of this data channel, updated monthly. Monthly counts that are less than 10 either for the complete population or for specific demographic groups are not shown to protect confidentiality and privacy. Note, rate information may change as data are dynamically adjusted as electronic health record information is updated. However, these changes will not typically affect overall trends.   

 
<b>For additional information, please see</b>: <a href = "https://www.cdc.gov/mental-health/about-data/mental-health-data-sources.html" target ="_blank">Mental Health Data Sources</a>. 
 
Updated monthly.
InsHist - All With History

This dataset contains information on a carrier’s/broker’s/freight forwarder’s previous insurance policy(ies). This dataset contains the DOT number and docket number of the entity. Additionally, it contains the cancellation method (cancelled, replaced, name change, transferred), the type of policy, the policy number, and the effective and cancellation dates of the policy.  All insurance information is related to the insurance policy either being cancelled, being replaced, or prior to a name change.  It is not the subsequent (if applicable) policy.  See dataset attachment "FMCSA Dataset Description and Data Definitions - Select Datasets" for more information.
ActPendInsur - All With History

Information on the implementation dates of an active or pending insurance policy (posted date, effective date and cancel effective date). In addition to these dates, the record contains the insurance company name, the BI&PD underlying limit and maximum limit amounts, and the DOT number and docket number of the carrier/broker/freight forwarder that holds the policy.
See dataset attachment "FMCSA Dataset Description and Data Definitions - Select Datasets" for more information.
ActPendInsur - All With History

*Dataset*  Information on the implementation dates of an active or pending insurance policy (posted date, effective date and cancel effective date). In addition to these dates, the record contains the insurance company name, the BI&PD underlying limit and maximum limit amounts, and the DOT number and docket number of the carrier/broker/freight forwarder that holds the policy.
Note: This dataset was last refreshed on 05/14/2026 and will no longer be updated. See attached "FMCSA Operating Authority Data Dictionary_V2" for more information.

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### 🔗 Related Datasets

- [ActPendInsur - All With History](https://odgavaprod.ogopendata.com//dataset/a67519cd-fec9-4465-af5a-1a1f95639e1d) — *U.S Department of Transportation*
- [ActPendInsur](https://odgavaprod.ogopendata.com//dataset/017e8847-c72b-4748-a7ce-c78b75590fa7) — *U.S Department of Transportation*
- [Insur - All With History](https://odgavaprod.ogopendata.com//dataset/8bc7c950-1e1c-427a-b0eb-b3bfa0430217) — *U.S Department of Transportation*

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Trout Lakes / Reservoirs

This is a reference dataset for the Virginia Water Quality Standards for all lakes and reservoirs designated as stockable or natural trout waters within the Virginia state boundary. See section 9VAC-25-260 of the Virginia Administrative Code for specific standards descriptions.<div><br /></div><div><a href='https://gisdata.deq.virginia.gov/mapper_ext/DataFactSheets/Water_Watersheds/DEQFactSheetV1_WQSlakes.pdf' target='_blank' rel='nofollow ugc noopener noreferrer'>Click Here</a> to view Data Fact Sheet. </div>
Neighborhood Quality Code Enforcement Cases

This dataset provides data from the Norfolk Division of Neighborhood Quality’s code enforcement cases including associated inspections, violations and status.  The mission of the Division of Neighborhood Quality is to maintain and strengthen neighborhood standards. Staff use a variety of tools to achieve compliance including educating civic leagues, residents and the public about neighborhood quality.  Other tools include working with homeowners to establish timelines for projects or pursuing legal steps for abatement. This data reflects the workflow of a responsive customer-oriented organization.