The Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) are a set of hospital databases that contain the universe of hospital inpatient discharge abstracts from data organizations in participating States. The data are translated into a uniform format to facilitate multi-State comparisons and analyses. The SID are based on data from short term, acute care, nonfederal hospitals. Some States include discharges from specialty facilities, such as acute psychiatric hospitals. The SID include all patients, regardless of payer and contain clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality (AHRQ), HCUP data inform decision making at the national, State, and community levels.

The SID contain clinical and resource-use information that is included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). Data elements include but are not limited to: diagnoses, procedures, admission and discharge status, patient demographics (e.g., sex, age), total charges, length of stay, and expected payment source, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge’. In addition to the core set of uniform data elements common to all SID, some include State-specific data elements. The SID exclude data elements that could directly or indirectly identify individuals. For some States, hospital and county identifiers are included that permit linkage to the American Hospital Association Annual Survey File and county-level data from the Bureau of Health Professions' Area Resource File except in States that do not allow the release of hospital identifiers.

Restricted access data files are available with a data use agreement and brief online security training.

Users are able to access information related to inpatient care for children under 20 years old. Researchers, students, and policymakers can use the State Inpatient Database (SID) to identify, track, and analyze national trends in health care utilization, access, charges, quality, and outcomes. Background The SID is one database in a family of databases and software tools developed as part of the Healthcare Cost and Utilization Project (HCUP). A Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision-making at the national, State, and community levels. The SID contains more than 100 clinical and nonclinical variables included in a hospital discharge abstract, such as: Principal and secondary diagnoses, P rincipal and secondary procedures, Admission and discharge status, Patient demographics (e.g., gender, age, and, for some States, race), Expected payment source (e.g., Medicare, Medicaid, private insurance, self-pay; for some States, additional discrete payer categories, such as managed care), Total charges, and Length of stay, User functionality Users must pay to access the database. SID files beginning in 1990 are available through the AHRQ-sponsored HCUP Central Distributor. The HCUP Central Distributor can provide more detailed, descriptive information on the SID and assist purchasers in completing the application. The SID data set can be run on desktop computers with a CD-ROM reader, and comes in ASCII format. The data on the CD set require a statistical software package such as SAS or SPSS to use f or analytic purposes. . Data Notes Users can access data for up to forty four states including Arizona, Arkansas, California, Colorado, Connecticut, Florida, Georgia, Hawaii, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Vermont, Washington, West Virginia, Wisconsin, and Wyoming. It does not indicate when the database will be updated.

The State Inpatient Databases (SID) are part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The SID includes inpatient discharge records from community hospitals in participating states. SID files encompass all patients, regardless of payer, providing a unique view of inpatient care in a defined market or state over time.

Abstract

The State Ambulatory Surgery Databases (SASD), State Inpatient Databases (SID), and State Emergency Department Databases (SEDD) are part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP).

HCUP's state-specific databases can be used to investigate state-specific and multi-state trends in health care utilization, access, charges, quality, and outcomes. PHS has several years (2008-2011) and datasets (SASSD, SED and SIDD) for HCUP California available.

Usage

The State Ambulatory Surgery and Services Databases (SASD) are State-specific files that include data for ambulatory surgery and other outpatient services from hospital-owned facilities. In addition, some States provide ambulatory surgery and outpatient services from nonhospital-owned facilities. The uniform format of the SASD helps facilitate cross-State comparisons. The SASD are well suited for research that requires complete enumeration of hospital-based ambulatory surgeries within geographic areas or States.

The State Inpatient Databases (SID) are State-specific files that contain all inpatient care records in participating states. Together, the SID encompass more than 95 percent of all U.S. hospital discharges. The uniform format of the SID helps facilitate cross-state comparisons. In addition, the SID are well suited for research that requires complete enumeration of hospitals and discharges within geographic areas or states.

The State Emergency Department Databases (SEDD) are a set of longitudinal State-specific emergency department (ED) databases included in the HCUP family. The SEDD capture discharge information on all emergency department visits that do not result in an admission. Information on patients seen in the emergency room and then admitted to the hospital is included in the State Inpatient Databases (SID)

SASD, SID, and SEDD each have **Documentation **which includes:

• Description of the Database
• Restrictions on Use
• File Specifications and Load Program
• Data Elements
• Additional Resources for Data Elements
• ICD-10-CM/PCS Data Included in the Dataset Starting with 2015
• Known Data Issues
• HCUP Tools: Labels and Formats
• HCUP Supplemental Files
• Obtaining HCUP Data

%3C!-- --%3E

Before Manuscript Submission

All manuscripts (and other items you'd like to publish) must be submitted to

phsdatacore@stanford.edu for approval prior to journal submission.

We will check your cell sizes and citations.

For more information about how to cite PHS and PHS datasets, please visit:

https:/phsdocs.developerhub.io/need-help/citing-phs-data-core

Documentation

The HCUP California inpatient files were constructed from the confidential files received from the Office of Statewide Health Planning and Development (OSHPD). OSHPD excluded inpatient stays that, after processing by OSHPD, did not contain a complete and “in-range” admission date or discharge date. California also excluded inpatient stays that had an unknown or missing date of birth. OSHPD removes ICD-9-CM and ICD-10-CM diagnoses codes for HIV test results. Beginning with 2009 data, OSHPD changed regulations to require hospitals to report all external cause of injury diagnosis codes including those specific to medical misadventures. Prior to 2009, OSHPD did not require collection of diagnosis codes identifying medical misadventures.

**Types of Facilities Included in the Files Provided to HCUP by the Partner **

California supplied discharge data for inpatient stays in general acute care hospitals, acute psychiatric hospitals, chemical dependency recovery hospitals, psychiatric health facilities, and state operated hospitals. A comparison of the number of hospitals included in the SID and the number of hospitals reported in the AHA Annual Survey is available starting in data year 2010. Hospitals do not always report data for a full calendar year. Some hospitals open or close during the year; other hospitals have technical problems that prevent them from reporting data for all months in a year.

**Inclusion of Stays in Special Units **

Included with the general acute care stays are stays in skilled nursing, intermediate care, rehabilitation, alcohol/chemical dependency treatment, and psychiatric units of hospitals in California. How the stays in these different types of units can be identified differs by data year. Beginning in 2006, the information is retained in the HCUP variable HOSPITALUNIT. Reliability of this indicator for the level of care depends on how it was assigned by the hospital. For data years 1998-2006, the information was retained in the HCUP variable LEVELCARE. Prior to 1998, the first

Security Investigation & Personnel Security Clearance - COTS personnel security application in a USAID virtualized environement that can support USAID's business requirements and processes. The goal of SEC is to replace the CRIS application with a new COTS system to improve quality of service, reduce processing time, automate manual tasks, and be capable of supporting future mandatory requirements and mandates as defined by ODNI. SEC requires a system that will communicate with the office of Human Resource (HR) and other offices in the Agency that require the same information.

a compilation of seed biological trait data from the Millennium Seed Bank Projects own collections and from other published and unpublished sources.

This dataset tracks the updates made on the dataset "HCUP State Inpatient Databases (SID) - Restricted Access File" as a repository for previous versions of the data and metadata.

No description is available. Visit https://dataone.org/datasets/farshid25.38.1 for complete metadata about this dataset.

The Nationwide Readmissions Database is part of the Healthcare Cost and Utilization Project (HCUP) family of databases. The NRD is derived from the HCUP State Inpatient Databases (SID), and aims to provide nationally represenative data to support hospital readmission analyses. The NRD includes all-payer inpatient discharges from HCUP partner community hospitals in the SID which have verifiable patient linkage numbers. These synthetic linkage numbers allow analysts to track patients across hospital stays, while maintaining patient privacy. The NRD contains over 14 million discharge records per data year from about 85% of SID discharges from participating states. The 122 data elements in the NRD include diagnostic and procedure codes, and hospital characteristics. The data cannot be used to track readmissions across states or across data years or used for state-, facility-, or physician-level analyses.

No description is available. Visit https://dataone.org/datasets/farshid25.80.1 for complete metadata about this dataset.

The See-In-The-Dark (SID) data set provides registered pairs of RAW images of the same scene. In each pair, one image has a short exposure time and is underexposed, and the other image has a longer exposure time and is well-exposed. The size of the Sony camera data from the SID data set is 25 GB.

The original link to download the data is: https://storage.googleapis.com/isl-datasets/SID/Sony.zip. Extract the data into the directory specified by the dataDir variable. When extracted successfully, dataDir contains the directory Sony with two subdirectories: long and short. The files in the long subdirectory have a long exposure and are well-exposed. The files in the short subdirectory have a short exposure and are quite underexposed and dark.

The data set also provides text files that describe how to partition the files into training, validation, and test data sets. Move the files "Sony_train_list.txt", "Sony_val_list.txt", and "Sony_test_list.txt" to the directory specified by the dataDir variable.

Images were captured using two cameras: Sony α7SII and Fujifilm X-T2.

Usage

The State Inpatient Databases (SID) are part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The SID includes inpatient discharge records from community hospitals in that State. The SID files encompass all patients, regardless of payer, providing a unique view of inpatient care in a defined market or State over time.

Sudden ionospheric disturbances (SID) are caused by solar flare enhanced X-rays in the 1 to 10 angstrom range. Solar flares can produce large increases of ionization in the D-region of the ionosphere over the daylit hemisphere of the Earth. SID's typically begin simultaneously or a few minutes after the start of a solar flare, and can have a time duration somewhat longer than the flare with a rise time more rapid than the decay time.Types of SIDs are SCNA--sudden cosmic noise absorption is a riometer-detected sudden daytime absorption increases; SEA--sudden enhancement of atmospherics are increases in signal strength on wideband equipment operated in the VLF, 10 to 50 KHz frequency range; SES--sudden enhancement of signal, observed on VLF frequencies in the 15 to 50 KHz range are nearly identical to SEA except that the receivers are narrow-band receivers designed to pick up man-made VLF transmission. Like SEA, signal strength increase is the SID indicator; SFD--sudden frequency deviation is the sudden increase of high frequency radiowaves which reaches a peak, and then decays back to the transmitting frequency; SPA--sudden phase anomaly is an abrupt shift in the phase of a radio signal on VLF frequencies received by ionospheric reflection; SWF--short wave fadeouts are abrupt decreases of radio signal strength observed at VLF frequencies.Tables of SIDs include the date; beginning, maximum and ending times; type of SID; importance on a scale of 1- to 3+ and the corresponding solar flare, if known.

a compilation of seed biological trait data from the Millennium Seed Bank Projects own collections and from other published and unpublished sources.

The Healthcare Cost and Utilization Project (HCUP) Nationwide Emergency Department Sample (NEDS) is the largest all-payer emergency department (ED) database in the United States. yielding national estimates of hospital-owned ED visits. Unweighted, it contains data from over 30 million ED visits each year. Weighted, it estimates roughly 145 million ED visits nationally. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels.

Sampled from the HCUP State Inpatient Databases (SID) and State Emergency Department Databases (SEDD), the HCUP NEDS can be used to create national and regional estimates of ED care. The SID contain information on patients initially seen in the ED and subsequently admitted to the same hospital. The SEDD capture information on ED visits that do not result in an admission (i.e., treat-and-release visits and transfers to another hospital). Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels.

The NEDS contain information about geographic characteristics, hospital characteristics, patient characteristics, and the nature of visits (e.g., common reasons for ED visits, including injuries). The NEDS contains clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). It includes ED charge information for over 85% of patients, regardless of expected payer, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge’. The NEDS excludes data elements that could directly or indirectly identify individuals, hospitals, or states.Restricted access data files are available with a data use agreement and brief online security training.

The Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and support public health professionals, administrators, policymakers, and clinicians in their decision-making regarding this critical source of care. The NEDS can be weighted to produce national estimates. The NEDS is the largest all-payer ED database in the United States. It was constructed using records from both the HCUP State Emergency Department Databases (SEDD) and the State Inpatient Databases (SID), both also described in healthdata.gov. The SEDD capture information on ED visits that do not result in an admission (i.e., treat-and-release visits and transfers to another hospital). The SID contain information on patients initially seen in the emergency room and then admitted to the same hospital. The NEDS contains 25-30 million (unweighted) records for ED visits for over 950 hospitals and approximates a 20-percent stratified sample of U.S. hospital-based EDs. The NEDS contains information about geographic characteristics, hospital characteristics, patient characteristics, and the nature of visits (e.g., common reasons for ED visits, including injuries). The NEDS contains clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). It includes ED charge information for over 75% of patients, regardless of payer, including patients covered by Medicaid, private insurance, and the uninsured. The NEDS excludes data elements that could directly or indirectly identify individuals, hospitals, or states.

Usage

The State Inpatient Databases (SID) are part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The SID includes inpatient discharge records from community hospitals in that State. The SID files encompass all patients, regardless of payer, providing a unique view of inpatient care in a defined market or State over time.

Shanghai Sid Electric Co Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

This dataset contains SID2H data collected during the ICE-L project. The Small Ice Detector, Version 2 (SID2H) is a particle light-scattering instrument for measuring size distributions of particles in the 1 to 70 micrometer size range and for discriminating between ice crystals and supercooled water droplets in mixed phase clouds. SID2H measures the intensity of light scattered by cloud particles in the forward direction. Measurements are recorded for each particle that crosses the instrument's laser beam. The SID2H data files are binary and come in 10-minute blocks; a new file is created every 10 minutes. Data records include timing events, light scattering intensity, and housekeeping (temperatures, laser power, etc.). The file structure has a header, data, and a footer.

SID (Sanitary & Improvement District) boundaries within Douglas County NE. Updated as changes occur by the Douglas County Engineer's office. This is a view layer