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- API data.nasa.gov | Last Updated 2018-07-19T15:54:02.000Z
Automated detection of land cover changes between multitemporal images (i.e., images captured at different times) has long been a goal of the remote sensing discipline. Most technology in this area has focused on methods for detecting and identifying land cover or surface object changes in two or more images, but precise co-registration of images remains a key challenge. In fact, image-to-image registration and image-based change detection are intricately related, as the success of conducting both relies on the precision of the other; software that supports these functions should do so in an integrative manner. Image registration is the key factor influencing the success of detecting land cover changes at or near pixel scale. We will develop tools in the form of a "software development kit" (SDK) specifically optimized for precise co-registration of two or more images with minimal user interaction, with the primary motivation to enable change detection algorithms to focus on salient changes rather than highlight image registration errors. The SDK will be available to NASA at no cost, after which we will build user applications based on the SDK for commercial offering.
- API citydata.mesaaz.gov | Last Updated 2019-12-03T21:48:44.000Z
This public view contains all the fields of the parent dataset except employee ID has been redacted. This dataset describes how labor hours were assigned within the Fleet Services department. All time must be assigned to “Direct Labor” – such as preventative maintenance or repair or “Indirect Labor” – work not associated with preventative maintenance or repair
- API data.acgov.org | Last Updated 2018-01-08T23:30:44.000Z
The Department of Child Support Services deals with cases involving the child support payments of one parent to the other. The data contained in the data set includes the role a parent plays in a child support case and the zip code they reside in. There are two rows in every case. The first column indicates the parent’s role in a case as a Custodial Parent (CUS - the parent receiving support for the child) or the Non-Custodial Parent ( NCP – the parent providing support for the child). The second column contains the zip code of that related parent. Either parent may reside outside the county and at least one of the parents must reside in Alameda County. Upadated on 1/8/2018.
- API data.acgov.org | Last Updated 2014-05-03T18:51:38.000Z
This dataset contains data about EMS ambulance response time to incident calls. Dataset column information: Run Number: unique identifier related to an ambulance responding to an incident. Call Time: the time somebody called to ask for help YES
- API health.data.ny.gov | Last Updated 2016-12-28T18:57:14.000Z
The primary purpose for the Provider Network Data System is to collect data needed to evaluate the provider networks including physicians, hospitals, labs, home health agencies, durable medical equipment providers, etc., for all types of Managed Care plans in New York State, including HIV Special Need Plans (SNP), Family Health Plus (FHP) Buy-In, Programs of All-Inclusive Care for the Elderly (PACE), and Non-PACE Managed Long-Term Care (MLTC) plans. This dataset reflects institutional provider data. Provider Network Data System information is self reported. For more information, go to http://www.health.ny.gov/health_care/managed_care/.
Community Health: Albany County Asthma Hospitalization Rate per 10,000 - Age 0-17 Years Trend Chart: Beginning 2003health.data.ny.gov | Last Updated 2017-09-13T19:27:59.000Z
This trend chart shows the asthma hospitalization rate per 10,000 among children aged 0 - 17 years in Albany County beginning in 2003. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS trend data table presents data for close to 300 health indicators and are provided for all 62 counties, for New York State, for New York City, and Rest of State. . For more information: check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.
Graph of Recommended Funding Levels by Program Components Per Capita (CDC Best Practices for Comprehensive Tobacco Control Programs 2014)chronicdata.cdc.gov | Last Updated 2018-07-09T19:51:14.000Z
2014. Centers for Disease Control and Prevention (CDC). Best Practices for Comprehensive Tobacco Control Programs. Funding. CDC's Best Practices for Comprehensive Tobacco Control Programs is an evidence-based guide to help states plan and establish effective tobacco control programs to prevent and reduce tobacco use. These data update Best Practices for Comprehensive Tobacco Control Programs—2007. Data are reported at total and per capita funding levels. Data include recommended and minimum total funding levels for state programs, in addition to funding breakdowns by intervention areas such as: State and Community Interventions, Mass-Reach Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Infrastructure, Administration, and Management.
Number of Hospitalizations for Opioid Overdose Statewide Health Care Cost Containment Council (PHC4)data.pa.gov | Last Updated 2018-09-04T14:44:44.000Z
Statewide number of hospitalizations for opioid overdose categorized by principal diagnosis of heroin or opioid pain medication overdose by year. This analysis is restricted to Pennsylvania residents age 15 and older who were hospitalized in Pennsylvania general acute care hospitals. Disclaimer: PHC4’s database contains statewide hospital discharge data submitted to PHC4 by Pennsylvania hospitals. Every reasonable effort has been made to ensure the accuracy of the information obtained from the Uniform Claims and Billing Form (UB-82/92/04) data elements. Computer collection edits and validation edits provide opportunity to correct specific errors that may have occurred prior to, during or after submission of data. The ultimate responsibility for data accuracy lies with individual providers. PHC4 agents and staff make no representation, guarantee, or warranty, expressed or implied that the data received from the hospitals are error-free, or that the use of this data will prevent differences of opinion or disputes with those who use published reports or purchased data. PHC4 will bear no responsibility or liability for the results or consequences of its use.
- API data.cms.gov | Last Updated 2018-11-14T16:26:56.000Z
The Part D Prescriber State Summary Report, Calendar Year 2015 provides information on prescription drugs prescribed by individual physicians and other health care providers and paid for under the Medicare Part D Prescription Drug Program. The Part D Prescriber PUF is based on information from CMS’s Chronic Conditions Data Warehouse, which contains Prescription Drug Event records submitted by Medicare Advantage Prescription Drug (MAPD) plans and by stand-alone Prescription Drug Plans (PDP). The dataset identifies providers by their National Provider Identifier (NPI) and the specific prescriptions that were dispensed at their direction, listed by brand name (if applicable) and generic name. For each prescriber and drug, the dataset includes the total number of prescriptions that were dispensed, which include original prescriptions and any refills, and the total drug cost. The total drug cost includes the ingredient cost of the medication, dispensing fees, sales tax, and any applicable administration fees and is based on the amount paid by the Part D plan, Medicare beneficiary, government subsidies, and any other third-party payers.
- API data.colorado.gov | Last Updated 2019-09-06T21:46:23.000Z
This dataset includes all non-24 hour licensed child care facilities in the State of Colorado. It is updated twice a month, and is intended for public use. It includes CDHS-issued child care license numbers, legal business names as they appear in the licensing application, the types of service the programs provide, the physical location address es of the programs as they appear in the licensing application, the longitude-latitude coordinate values derived from geocoding services and spatial QA, the valid Colorado Shines quality rating levels (if applicable), total licensed capacities, and CCCAP utilization and fiscal agreement. Disclaimer: The State of Colorado, the Colorado Department of Human Services, and the Office of Early Childhood make no representations or warranties expressed or implied, with respect to the use of data provided herewith regardless of its format or the means of its transmission. There is no guarantee or representation to the user as to the accuracy, currency, suitability, or reliability of this data for any purpose. The user accepts the data “as is”. The State of Colorado assumes no responsibility for loss or damage incurred as a result of any user reliance on this data. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. The State of Colorado does not necessarily endorse any interpretations or products derived from the data.