AndreaBozzo/ceres-open-data-index huggingface dataset:
United States Drought Monitor, 2000-2016

This dataset provides data at the county level for the contiguous United States. It includes weekly United States Drought Monitor (USDM) data from 2000-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information.

These data are used by the CDC's National Environmental Public Health Tracking Network to generate drought measures. Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding.

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. 

Problems or Questions? 
Email trackingsupport@cdc.gov.

Tags: drought, environmental-health
Organization: U.S. Department of Health & Human Services
Healthy People 2020 Tobacco Use Objectives

U.S. Department of Health and Human Services (HHS). Centers for Disease Control and Prevention (CDC). Healthy People 2020 Tobacco Use Objectives. Healthy People 2020. Healthy People 2020 provides a framework for action to reduce tobacco use to the point that it is no longer a public health problem for the Nation. This dataset includes information related to the Healthy People 2020 Tobacco Use objectives, operational definitions, baselines, and targets. Baseline years may vary by objective. Targets represented correspond to the year 2020.

Tags: centers-for-disease-control-and-prevention, department-of-health-and-human-services, healthy-people-2020, leading-health-indicator, office-on-smoking-and-health, osh
Organization: U.S. Department of Health & Human Services
NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome

NNDSS - Table II. Rabies, animal to Rubella, congenital syndrome - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.  The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

Tags: 2017, animal, congenital-syndrome, mmwr, nedss, netss, nndss, rabies, rubella, wonder
Organization: U.S. Department of Health & Human Services
PLACES: Local Data for Better Health, ZCTA Data 2020 release

This dataset contains model-based ZIP Code tabulation Areas (ZCTA) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.

Tags: behaviors, brfss, outcomes, places, prevalence, prevention, unhealthy, zcta, zip-code
Organization: U.S. Department of Health & Human Services
National Artesunate for Severe Malaria Program Case Report Data- April to December 2019

This dataset includes deidentified data on patients receiving artesunate through the National Artesunate for Severe Malaria Program from April- December 2019. 

This dataset contains the data from the case report form only.
Please see the links below for the other datasets and see the attached document 'Guide to NSAMP Datasets':
Data on Artesunate Dosing- https://data.cdc.gov/dataset/National-Artesunate-for-Severe-Malaria-Program-Art/qan4-gt4k
Data on Follow-On Antimalarial Dosing- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Fol/g3k9-gyw7
Data on Microscopy (Parasitemia values)- https://data.cdc.gov/Global-Health/National-Artesunate-for-Severe-Malaria-Program-Mic/v2k9-ctv4

All data can be easily linked using the ParticipantID field, a unique ID number assigned to each participant.

Tags: artesunate, division-of-parasitic-diseases-and-malaria, malaria
Organization: U.S. Department of Health & Human Services
U.S. State and Territorial Orders Closing and Reopening Restaurants Issued from March 11, 2020 through August 15, 2021 by County by Day

State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data can be used to determine when restaurants in states and territories were subject to closing and reopening requirements through executive orders, administrative orders, resolutions, and proclamations for COVID-19. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly close or reopen restaurants found by the CDC, COVID-19 Community Intervention & Critical Populations Task Force, Monitoring & Evaluation Team, Mitigation Policy Analysis Unit, and the CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 11, 2020 through August 15, 2021.  These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. Effective and expiration dates were coded using only the date provided; no distinction was made based on the specific time of the day the order became effective or expired. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

Tags: business-closure, business-reopening, covid-19, executive-order, government-order, legal-epidemiology, mitigation, proclamation, public-health-order, social-distancing
Organization: U.S. Department of Health & Human Services
NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis

NNDSS - Table II. Spotted Fever Rickettsiosis to Syphilis - 2017.  In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. 

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. 

Footnotes:
 C.N.M.I.: Commonwealth of Northern Mariana Islands. 

 U: Unavailable. —: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. 

*Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions. 

† Case counts for reporting year 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for tuberculosis are displayed in Table IV, which appears quarterly.

§ Illnesses with similar clinical presentation that result from Spotted Fever Group Rickettsia infections are reported as Spotted Fever Rickettsioses. Rocky Mountain Spotted Fever (RMSF), caused by Rickettsia rickettsii, is the most common and well-known Spotted Fever.

Tags: 2017, mmwr, nedss, netss, nndss, spotted-fever-rickettsiosis, syphilis-primary-and-secondary, wonder
Organization: U.S. Department of Health & Human Services
Provider Relief Fund COVID-19 Nursing Home Quality Incentive Program

The bipartisan CARES Act; and the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act provided $178 billion in relief funds to hospitals and other healthcare providers on the front lines of the coronavirus response. The Department of Health and Human Services through the Health Resources and Services Administration is allocating $2 billion in incentive payments to nursing home facilities that reduce both COVID-19 infection rates relative to their county and mortality rates against a national benchmark.

Tags: cares-act, coronavirus, covid-19, health-system
Organization: U.S. Department of Health & Human Services
PLACES: Local Data for Better Health, Place Data 2020 release

This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES project 2020 release. The PLACES project is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code tabulation Areas (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. The project was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 27 measures: 5 chronic disease-related unhealthy behaviors, 13 health outcomes, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to inform development and implementation of effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates  include Behavioral Risk Factor Surveillance System (BRFSS) 2018 or 2017 data, Census Bureau 2010 population data, and American Community Survey (ACS) 2014-2018 or 2013-2017 estimates. The 2020 release uses 2018 BRFSS data for 23 measures and 2017 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening). Four measures are based on the 2017 BRFSS because the relevant questions are only asked every other year in the BRFSS. More information about the methodology can be found at www.cdc.gov/places.

Tags: behaviors, brfss, city, outcomes, place, places, prevalence, prevention, unhealthy
Organization: U.S. Department of Health & Human Services
NNDSS - Table II. Invasive Pneumococcal to Legionellosis

NNDSS - Table II. Invasive Pneumococcal to Legionellosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Includes drug resistant and susceptible cases of Invasive Pneumococcal Disease. This condition was previously named Streptococcus pneumoniae invasive disease and cases were reported to CDC using different event codes to specify whether the cases were drug resistant or in a defined age group, such as < 5 years. Since 2010, case notifications for this condition were consolidated under one event code for Invasive pneumococcal disease.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.

Tags: 2014, invasive-pneumococcal-disease, legionellosis, mmwr, nedss, netss, nndss, wonder
Organization: U.S. Department of Health & Human Services
NNDSS - Table II. Ehrlichiosis/Anaplasmosis

NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2014.In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (��� 1,000 and ��_ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data.  Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable.    -: No reported cases.    N: Not reportable.    NN: Not Nationally Notifiable    Cum: Cumulative year-to-date counts.    Med: Median.    Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. ��� Please refer to the MMWR publication for weekly updates to the footnote for this condition.More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.

Tags: 2014, anaplasma-phagocytophilum, ehrlichia-chaffeensis, ehrlichiosis-anaplasmosis, mmwr, nedss, netss, nndss, undetermined, week, wonder
Organization: U.S. Department of Health & Human Services
American Rescue Plan (ARP) Rural Payments

The U.S. Department of Health and Human Services (HHS) via the Health Resources and Services Administration (HRSA) is releasing American Rescue Plan payments to providers and suppliers who have served rural Medicaid, Children's Health Insurance Program (CHIP), and Medicare beneficiaries from January 1, 2019 through September 30, 2020. The dataset will be updated as additional payments are released. Data does not reflect recipients’ attestation status, returned payments, or unclaimed funds.

Tags: american-rescue-plan, covid-19
Organization: U.S. Department of Health & Human Services
Degrees and Certificates at Public Health-Related Institutions 2021-2023

Degrees and Certificates Awarded at Texas Public Health-Related Institutions by Award Level 2021-2023. For additional years and the latest downloadable data, use the Accountability Interactive tool at: http://www.txhigheredaccountability.org/AcctPublic/InteractiveReport/ManageReports.

Tags: certificates, degrees, public-health-related-institutions
Organization: City of Austin
Debt Outstanding By State Issuer Searchable by CIB CAB CO VAR TRB

This dataset includes debt outstanding for all State of Texas Issuers, including conduit borrowers, on an annual basis. Debt includes commercial paper, variable rate debt and capital appreciation bonds, but does not include certain lease purchase debt, SECO LoanSTAR Revolving Loan Program debt or Build America Bond interest rate subsidies. Not self-supporting debt (general obligation and revenue) depends solely on the state's general revenue fund for debt service. Conduit debt is not a legal liability of the state but is backed by third party entities. Tuition Revenue Bonds issued by institutions of higher education are secured by a pledge of certain revenue funds of the institutions, however, historically the state has appropriated funds to the schools in an amount equal to all or a portion of the debt service on the revenue bonds. Future debt-service payments for variable-rate bonds is calculated based on interest rates provided by the issuer. Future debt-service payments for commercial paper is calculated at five percent for a 20-year period.

Tags: interest, principal, state-debt-outstanding, trb, variable
Organization: City of Austin
Recycling Public Outreach and Education Calendar Events

This program provides outreach and education on recycling-related topics: waste reduction; reuse; recycling; grasscycling; composting; buying recycled; etc. This outreach/education may occur at events in the community.
The additional Recycling Calendar information can be viewed at https://www.montgomerycountymd.gov/DEP/calendar.html
Update Frequency : Monthly

Tags: calendar, community, education, event, meeting, outreach, public, recycling
Organization: Montgomery County of Maryland
FIN - Risk Management injury Data FY22

This dataset contains the nature of work-related injuries and illnesses that have been reported to the Division of Risk Management in the Finance department that is categorized by Public Safety (Police Officers, Fire Fighters, Sheriff, and Correctional Officers) and non-Public Safety departments from 7/1/2021 to 6/20/2022.  This information will be produced annually in July and will represent injuries reported in the previous fiscal year.
Update Frequency : Annually

Tags: finance, illness, injury, risk, work-related
Organization: Montgomery County of Maryland
Licenses and Inspections Complaints

Complaints that were entered via 311 or by an individual in the department. Complaints were formerly known as 'Service Requests' in L&I's old enterprise database called 'Hansen', which was decommissioned in March 2020.

Each row in the table represents a single 'call'. Calls are sometimes bunched into one 'Complaint' all sharing the same unique number.




Tags: department-of-licenses-and-inspections, environment, land-records, planning, real-estate, visualization, zoning
Organization: City of Philadelphia