AndreaBozzo/ceres-open-data-index huggingface dataset:
Special Status Areas (Feature Layer)

A land area that has distinct management/use authorities or agreements for Forest Service action. Includes: Cost Share Agreement Areas, Exchange Authority Areas, Land Adjustment Plan Areas, Forest Reserves, and Secretary's Order Areas. <a href='https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.SpecialStatusArea.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>Metadata</a>

Tags: alp-land-dataset, cost-share-agreement-area, exchange-authority-area, forest-reserve, intended-wilderness, land-adjustment-plan-area, land-status, lands-and-realty, nfs-lands, open-data, secretarys-order-area, usda-forest-service
Organization: Department of Agriculture
Special Interest Management Areas (Feature Layer)

A boundary within which National Forest System land parcels have management or use limits placed on them by the Forest Service. Examples include: Archaeological Area, Research Natural Area, and Scenic Area.

Tags: alp-land-dataset, boundaries, experimental-forests, land-status, nfs-lands, open-data, research-natural-areas-rnas, special-interest-management-area, special-interest-management-area-name, usda-forest-service
Organization: Department of Agriculture
Visitor Map Symbology - Motor Vehicle Use Map Trails

This feature class depicts Forest Service trails where motorized use is allowed. It contains information on the specific type of motor vehicle and their seasons of use. The feature class is consistent with the appropriate National Forest's Motor Vehicle Use Map (MVUM). Non-motorized trails are not included in this data. Trails in this feature class are legal for some motorized use for at least a portion of the year. Any reference to Open or Dates Open refers strictly to when it is legal to use that motor vehicle on the trail. It is not meant to describe when the conditions would be appropriate for that use. As an example, a trail may be designated open to motorcycles all year long but there may be periods of time when snow depth prevents the use of motorcycles on that trail. It is compiled from the GIS Data Dictionary data and tabular data that the administrative units have prepared for the creation of their MVUMs. This data is published and refreshed on a unit by unit basis as needed. Individual unit's data must be verified and proved consistent with the published MVUMs prior to publication in the Enterprise Data Warehouse (EDW).

Tags: open-data
Organization: Department of Agriculture
Original Proclaimed National Forests and National Grasslands (Feature Layer)

<p>This layer includes both Proclaimed Forest and National Grassland boundary areas. A Proclaimed Forest boundary is the boundary encompassing National Forest System land within a national forest that is set aside and reserved from the public domain by executive order or proclamation; congressional action is required to terminate a proclaimed boundary; if, at some point in time, no National Forest System land remains within the proclaimed boundary, then there is no legal significance to the proclaimed boundary, however, its legal status remains. National Grasslands are lands designated "National Grasslands" by the Secretary of Agriculture and permanently held by the Department of Agriculture for administration under Title III of the Bankhead-Jones Farm Tenant Act.</p><p><a href='https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=S_USA.ProclaimedForest' rel='nofollow ugc'>Download via FSGeodata Clearinghouse</a><br /></p><p><br /></p>

Tags: alp-land-dataset, boundaries, forest-name, land-status, land-use-land-cover, national-geospatial-data-asset, national-grassland, nfs-lands, ngda, open-data, planningcadastre, proclaimed-forest, proclaimed-forest-national-grassland, usda-forest-service
Organization: Department of Agriculture
National Agriculture Imagery Program (NAIP) Imagery

The National Agriculture Imagery Program (NAIP) is administered by the U.S. Department of Agriculture's Farm Production and Conservation Business Center (FPAC-BC) Geospatial Enterprise Operations (GEO) Branch. NAIP acquires aerial imagery for the contiguous United States (CONUS) during the agricultural growing season, or leaf-on conditions and may contain as much as 10 percent cloud cover per tile. The images are orthorectified which combines the image characteristics of an aerial photograph with the georeferenced qualities of a map. NAIP acquisition from 2002-2017 was at a ground sample distance (GSD) of 1 or 2-meter. In 2018, the ground sample distance standard changed to 0.6 meter with the option for 0.3 meter. The 2025 acquisition consists of approximately half of the states delivered at 60cm and the other half at 30cm ground sample distance. The repeat flying cycle has also changed to no more than a 3-year cycle (generally every other year for most states) from its 5-year cycle back in 2003-2009. Each individual image tile is based on a 3.75-minute longitude by 3.75-minute latitude quarter quadrangle, originally with a 300-meter buffer on all four sides. In 2024 the buffer was changed to 12-meters on all four sides. Tiles in the NAIP collection are natural color (red, green, and blue bands) or color near infrared (red, green, blue, and near infrared bands).

Tags: imagery-theme, national-geospatial-data-asset, ngda, ngda-imagery-theme, ngdaid106, north-america, state, united-states, us
Organization: Department of Agriculture
Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 02-05-2024-to-02-11-2024

The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.

Tags: drug-rebate-program
Organization: U.S. Department of Health & Human Services
QHP Landscape Instructions PY2022 Individual Medical

The Medical Individual Market file of the QHP Landscape Files contains information on certified medical plans offered through an Exchange to consumers in the individual market. These plans are also known as Qualified Health Plans (QHPs). The file reports plans offered by county for states in the Federally-facilitated Exchanges including states performing plan management functions, and State Based Exchanges using the federal platform for eligibility and enrollment.

Tags: individual, individual-market-medical, py2022, qhp, qhp-landscape-instructions
Organization: U.S. Department of Health & Human Services
Mammography Facilities

The Mammography Facility Database is updated periodically based on information received from the four FDA-approved accreditation bodies: the American College of Radiology (ACR), and the States of Arkansas, Iowa, and Texas. Information received by FDA or Certifying State from accreditation bodies does not specify if the facility is mobile or stationary. In many instances, but not all, the accreditation body notes Mobile following the name of the facility. The certification status of facilities may change, so FDA suggests that you check the facility's current status and look for the MQSA certificate.

Tags: cdrh
Organization: U.S. Department of Health & Human Services
Clinical Questions Collection

The Clinical Questions Collection is a repository of questions that have been collected between 1991 – 2003 from healthcare providers in clinical settings across the country. The questions have been submitted by investigators who wish to share their data with other researchers. This dataset is no-longer updated with new content. The collection is used in developing approaches to clinical and consumer-health question answering, as well as researching information needs of clinicians and the language they use to express their information needs. All files are formatted in XML.

Tags: data-distribution
Organization: U.S. Department of Health & Human Services
National Health and Nutrition Examination Survey (NHANES) – Vision and Eye Health Surveillance

1999-2008; 2005-2008. This dataset is a de-identified summary table of vision and eye health data indicators from NHANES, stratified by all available combinations of age group, race/ethnicity, gender, and risk factor. NHANES is a program of studies conducted by the National Center for Health Statistics at CDC designed to assess the health and nutritional status of adults and children in the U.S, and combines interviews and physical examinations. NHANES stopped collecting vision and eye health data in 2008. Approximate sample size is 5,000 persons per year. NHANES data for VEHSS includes questions and examinations related to Visual Function, Vision Exam Measures, Eye Health Conditions, Service Utilization, and Examination Measures. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NHANES analyses can be found on the VEHSS NHANES webpage (https://www.cdc.gov/visionhealth/vehss/data/national-surveys/national-health-and-nutrition-examination-survey.html). Additional information about NHANES can be found on the NHANES website (https://www.cdc.gov/nchs/nhanes/index.htm). The VEHSS NHANES dataset was last updated in June 2018.

Tags: blind, cataract, diabetes, glaucoma, nhanes, service-utilization, vision-exam-measures, visual-acuity, visual-function
Organization: U.S. Department of Health & Human Services
FDA Abbott Infant Formula Recall

On September 22, 2010, Abbott issued a voluntary recall of certain Similac powdered infant formula after identifying a common warehouse beetle (both larvae and adults) in the finished product at their Sturgis, Michigan plant. The company immediately put all product manufactured at the Michigan plant on hold and ceased manufacturing at that location. FDA has advised against consumption of the recalled product and urged consumers to follow the manufacturer's instructions for reporting and returning the formula.

Tags: community-health, food, formula, health, infant, market, notifications, recalls, safety
Organization: U.S. Department of Health & Human Services
Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program 2023-08-07-to-2023-08-13

The data below contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database.

Tags: drug-rebate-program
Organization: U.S. Department of Health & Human Services
WA RCO SCORP 2013 Dataset Part 4 of 7

This dataset is a survey of outdoor recreation demand which includes responses from 3,114 residents of Washington state who were interviewed by phone between August 27 and October 26, 2012. The telephone survey was conducted using random digit dialing.  To meet the regional planning requirements of the project, the sample was stratified by the 10 planning regions in Washington (see the 2013 SCORP Plan, Appendix A for survey methodology and map). The consultant obtained a minimum of 300 completed interviews in each region.  Within each region, the results were weighted by demographic characteristics so that the sample was representative of residents of that region.  For statewide results, each region was weighted to be in proper proportion to the state population as a whole.  Study findings are representative at the statewide level as well as by planning region.  Any manipulation or analysis of the data should take this sampling approach and weighting into account.

Tags: national-park-service-nps, recreation-and-conservation-office-rco, state-comprehensive-outdoor-recreation-plan-scorp-2013, washington-state-wa
Organization: State of Washington
WA RCO SCORP 2013 Dataset Part 3 of 7

This dataset is a survey of outdoor recreation demand which includes responses from 3,114 residents of Washington state who were interviewed by phone between August 27 and October 26, 2012. The telephone survey was conducted using random digit dialing.  To meet the regional planning requirements of the project, the sample was stratified by the 10 planning regions in Washington (see the 2013 SCORP Plan, Appendix A for survey methodology and map). The consultant obtained a minimum of 300 completed interviews in each region.  Within each region, the results were weighted by demographic characteristics so that the sample was representative of residents of that region.  For statewide results, each region was weighted to be in proper proportion to the state population as a whole.  Study findings are representative at the statewide level as well as by planning region.  Any manipulation or analysis of the data should take this sampling approach and weighting into account.

Tags: national-park-service-nps, recreation-and-conservation-office-rco, state-comprehensive-outdoor-recreation-plan-scorp-2013, washington-state-wa
Organization: State of Washington
Amount Of CO2 Generated by LADWP

The State of California has adopted targets to reduce Green House Gas (GHG) emissions to 1990 levels by 2020 and to ultimately achieve an 80% reduction from 1990 levels by 2050.  GHG reduction efforts from the electricity sector, including LADWP, are a critical component in meeting these targets.

Tags: co2, ghg, greenhouse-gases
Organization: City of Los Angeles
Legacy Baton Rouge Traffic Incidents (2021 - 2022)

***On August 30, 2022, the Baton Rouge Police Department switched to a new crash reporting system. This dataset contains data from 1/1/2021 to 8/29/2022.  To view traffic incident data prior to January 1, 2021 please use the Legacy Baton Rouge Traffic Incidents (2010-2020) dataset at https://data.brla.gov/Transportation-and-Infrastructure/Legacy-Baton-Rouge-Traffic-Incidents/2tu5-7kif

Original records for all vehicular crashes that occurred within the City of Baton Rouge which were not processed by the Center for Analytics & Research in Transportation Safety (CARTS) at LSU.

Tags: brpd, crash, traffic
Organization: City of Baton Rouge
COVID-19 DPH Reports Library - Archive

A library of reports produced by the Department of Public Health on COVID-19 data in Connecticut, starting on March 21, 2020. Reports are published to https://portal.ct.gov/Coronavirus/COVID-19-Data-Tracker and to https://portal.ct.gov/Coronavirus/Nursing-Homes-and-Assisted-Living-Facilities

Note: As of June 1, 2023 regular reporting on COVID-19 ended and will transition to align with the seasonal respiratory surveillance reporting program in October 2023. More details on the changes in reporting and end of the public health emergency can be found <a href'"https://portal.ct.gov/Office-of-the-Governor/News/Press-Releases/2023/05-2023/Governor-Lamont-Coronavirus-Update-May-11">here</a>. National data on COVID-19, including state and county-level data for Connecticut can also be found directly via the <a href="https://covid.cdc.gov/covid-data-tracker/#datatracker-home"> CDC COVID Data Tracker</a>.

Tags: covid-19, covid-archive
Organization: State of Connecticut
CT DPH COVID -19 Race and Ethnicity Data Summary

This report summarizes data on COVID-19 cases and COVID-19 associated deaths by race/ethnicity for the state of Connecticut and the 10 largest Connecticut towns. Data on race/ethnicity are missing on almost half (47%) of reported COVID-19 cases. CT DPH has urged healthcare providers and laboratories to complete information on race/ethnicity for all COVID-19 cases. 

All data in this report are preliminary; data will be updated as new COVID-19 case reports are received and data errors are corrected. Data on COVID-19 cases and COVID-19-associated deaths were last updated on April 20, 2020 at 3 PM. Information about race and ethnicity are collected on the Connecticut Department of Public Health (DPH) COVID-19 case report form, which is completed by healthcare providers for laboratory-confirmed COVID-19 cases. Information about the race/ethnicity of COVID-19-associated deaths also are collected by the Connecticut Office of the Chief Medical Examiner and shared with DPH. Race/ethnicity categories used in this report are mutually exclusive. People answering ‘yes’ to more than one race category are counted as ‘other’.

Tags: covid-19, race-ethnicity
Organization: State of Connecticut
NOPD Use of Force Incidents (Archive)

<p>
<b>NOTE:</b><br>
This is an archive version of <a href="https://data.nola.gov/Public-Safety-and-Preparedness/NOPD-Use-of-Force-Incidents/9mnw-mbde">NOPD Use of Force Incidents</a>, and was last updated on April 27th, 2021.  The data in this dataset are in the original format (one row per officer per subject interaction), and are no longer being updated.  Please switch to the new format (one row per incident).
</p>
<p>
This dataset represents use of force incidents by the New Orleans Police Department reported per NOPD Use of Force policy. This dataset includes initial reports that may be subject to change through the review process. This dataset reflects the most current status and information of these reports. This dataset includes one row of data for each combination of officer that used force and subject of force during the incident. For example, if during a use of force incident two officers used force and two people were the subject of force, there will be four rows associated with that incident in this dataset. The number of rows in this dataset does not represent the number of times force was used by NOPD officers. This dataset is updated nightly. Disclaimer: The New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The New Orleans Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The New Orleans Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
</p>

Tags: police, use-of-force
Organization: City of New Orleans
3.14 ADA Transition Plan Compliance (summary)

<div>The City of Tempe ADA Transition Plan has been developed so the City can identify and work toward removing obstacles that limit access by people with disabilities to its programs, activities, and services as required by the Americans with Disabilities Act (ADA) and Section 504 of the Rehabilitation Act. These regulations require, among other things, the following: 1) An inventory of barriers; 2) A schedule for removing the barriers; and, 3) A description of the methods to be used to remove the barriers.&nbsp; The City of Tempe has chosen to use a three-phase approach to accomplish the self-evaluation, schedule development, and method of barrier removal. The first phase includes the evaluation, prioritization, and cost estimating for the public right-of-way, ten parks, several parking lots, and on-street parking in the downtown area. Phase II will include the majority of the remaining right-of-way, parks, and the emergency management program.&nbsp; Phase III will finish the public right-of-ways and the parks and buildings that are open to the public.<br />&nbsp;</div><div><div>&nbsp;</div><div>This performance measure uses the inventory of barriers and the inventory of repairs as metrics.&nbsp; Dividing the repairs by the total inventory of barriers yields the measurement.&nbsp; &nbsp;&nbsp;</div></div><div>&nbsp;</div><div>This page provides data for the ADA Transition Plan performance measure.<br />&nbsp;</div><div>&nbsp;</div><div>The performance measure dashboard is available at&nbsp;<a target='_blank' href='https://quality-of-life-tempegov.hub.arcgis.com/pages/ada-transition-plan' rel='nofollow ugc noopener noreferrer'>3.14 ADA Transition Plan Compliance</a>.<br />&nbsp;</div><div>&nbsp;</div><div>&nbsp;</div><div><strong>Additional Information</strong><br />&nbsp;</div><div>&nbsp;</div><div>Source:&nbsp;</div><div>&nbsp;</div><div>Contact: Aaron Peterson</div><div>&nbsp;</div><div>Contact E-Mail: Aaron_Peterson@tempe.gov</div><div>&nbsp;</div><div>Data Source Type: Table</div><div>&nbsp;</div><div>Preparation Method:&nbsp;Departments responsible for the repairs indicate when a repair has been completed. The number of repairs is divided by the total inventory of barriers to determine the compliance rate.</div><div>&nbsp;</div><div>Publish Frequency: Annually</div><div>&nbsp;</div><div>Publish Method: Manual</div><div>&nbsp;</div><div><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/3.14-ada-transition-plan-compliance' rel='nofollow ugc noopener noreferrer'>Data Dictionary</a><br />&nbsp;</div><div>&nbsp;</div>

Tags: accessibility, ada, ada-transition-plan-compliance-pm-3-14, quality-of-life, wheelchair-access
Organization: City of Tempe
3.25 Equal Pay Ratio 9th Congressional District (summary)

<p>&nbsp;</p><p><font>What is the Pay Gap? The pay gap is a comparison between women’s and men’s typical (median) earnings by dividing women’s median earnings by men’s median earnings. A ratio that is equal to “1.0” indicates that women’s median earnings are equal to men’s median earnings. A ratio of less than “1.0” indicates that women’s earnings are less than men’s earnings; and, a ratio greater than “1.0” indicates that women’s earnings are greater than men’s.</font></p><p>This page provides data for the Equal Pay Gap performance measure.&nbsp;<br />&nbsp;</p><p>&nbsp;</p><p><span style='font-size:16px;'>The earning"s ratio is calculated by dividing women"s median earnings by the men"s median earnings.</span><br />&nbsp;</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>The performance measure dashboard is available at&nbsp;<a target='_blank' href='https://quality-of-life-tempegov.hub.arcgis.com/pages/equal-pay-ratio' rel='nofollow ugc noopener noreferrer'>3.25 Equal Pay Ratio 9th Congressional District</a>.<br />&nbsp;</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><strong>Additional Information</strong><br />&nbsp;</p><p style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font style='font-family:inherit;'>Source:&nbsp;</font><span style='font-family:inherit;'><font style='font-family:inherit;'>&nbsp;</font></span><br />Contact: Wydale Holmes<br />Contact E-Mail: Wydale_Holmes@tempe.gov<br /><font style='font-family:inherit;'>Data Source Type:&nbsp;Excel</font><br /><span style='font-family:inherit;'>Preparation Method:&nbsp;&nbsp;</span><br /><span style='font-family:inherit;'>Publish Frequency: annually</span><br /><font style='font-family:inherit;'>Publish Method:&nbsp;</font><span style='font-family:inherit;'><font style='font-family:inherit;'>&nbsp;m</font></span>anual<br /><a target='_blank' href='https://tempe.gitbook.io/data-dictionary/3.25-equal-pay-ratio-9th-congressional-district' rel='nofollow ugc noopener noreferrer'>Data Dictionary&nbsp;</a></p>

Tags: equal-pay-ratio-9th-congressional-district-pm-3-25, quality-of-life
Organization: City of Tempe