FSRDC allows qualified researchers to securely use restricted-access data from the U.S. Census Bureau, the National Center for Health Statistics (NCHS), the Agency for Healthcare Research and Quality (AHRQ), and the Bureau of Labor Statistics. These data are extraordinarily rich and virtually the only source for many important questions in health and social sciences. The Stanford Federal Statistical Research Data Center (FSRDC) allows qualified researchers to securely use restricted-access data from the U.S. Census Bureau, the National Center for Health Statistics (NCHS), the Agency for Healthcare Research and Quality (AHRQ), and the Bureau of Labor Statistics. For example, researchers can access detailed geographic indicators that are not publicly available in data such as the National Health Interview Survey (NHIS) and National Health and Nutrition Examination Survey (NHANES).
PHS does not host FSRDC data. If you wish to use FSRDC data for a health related project, please reach out to the Stanford FSRDC: https://iriss.stanford.edu/fsrdc
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
Metadata access is required to view this section.
Financial overview and grant giving statistics of Amistad Research Center
The IRI Data Library is a powerful and freely accessible online data repository and analysis tool that allows a user to view, manipulate, and download over 400 climate-related data sets through a standard web browser. The Data Library contains a wide variety of publicly available data sets, including station and gridded atmospheric and oceanic observations and analyses, model-based analyses and forecasts, and land surface and vegetation data sets, from a range of sources. It includes a flexible, interactive data viewer that allows a user to visualize. multi-dimensional data sets in several combinations, create animations, and customize and download plots and maps in a variety of image formats. The Data Library is also a powerful computational engine that can perform analyses of varying complexity using an extensive array of statistical analysis tools. Online tutorials and function documentation are available to aid the user in applying these tools to the holdings available in the Data Library. Data sets and the results of any calculations performed by the user can be downloaded in a wide variety of file formats, from simple ascii text to GIS-compatible files to fully self-describing formats, or transferred directly to software applications that use the OPeNDAP protocol. This flexibility allows the Data Library to be used as a collaborative tool among different disciplines and to build new data discovery and analysis tools.
Financial overview and grant giving statistics of Rhine Research Center Inc.
In the fiscal year 2023, the net sales of Mitsubishi Research Institute, Inc. (MRI) amounted to approximately 122.1 billion Japanese yen. The company was founded in 1970 and is headquartered in Tokyo. MRI is a think tank offering various consulting services, including business consulting and IT-related services.
NCHS has linked data from various surveys with Medicare program enrollment and health care utilization and expenditure data from the Centers for Medicare & Medicaid Services (CMS). Linkage of the NCHS survey participants with the CMS Medicare data provides the opportunity to study changes in health status, health care utilization and costs, and prescription drug use among Medicare enrollees. Medicare is the federal health insurance program for people who are 65 or older, certain younger people with disabilities, and people with End-Stage Renal Disease.
The Research and Development Survey (RANDS) is a series of cross-sectional surveys from probability-sampled commercial survey panels which began in 2015. RANDS 3 was administered by the National Opinion Research Center (NORC) using the Amerispeak Panel in the spring of 2019 and contains existing questions from the National Health Interview Survey (NHIS) as well as embedded probe questions and split-panel experiments for cognitive evaluations.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The dataset has been updated to "Dataset from Herbarium of Endemic Species Research Institute, Taiwan (TAIE) 2021"(https://www.gbif.org/zh-tw/dataset/19c3400b-b7bb-425f-b8c5-f222648b86b2)
In order to conserve and research Taiwan's existing endemic plant and animal species as well as to promote ecology education, Taiwan government established the Endemic Species Research Institute (ESRI) in July 1992. The ESRI herbarium so far has collected 30,592 vascular plant specimens from locations all over Taiwan. Plant specimens are important for the studies of species habitat, distribution, ecological environment and taxonomic classification. ESRI herbarium also regularly exchanges specimens with a number of domestic and foreign herbaria to broaden its collection.
Financial overview and grant giving statistics of Outcomes Research Institute
Automatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled. Asa Research Station (2025). Meteorological data from Asa Research Station, 2022 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/407O2Jo47L0HlGLGYNmCO_5w
The GMRI Data Catalog is an open data portal containing datasets developed and managed by GMRI for discovery by end users. The initial datasets include preliminary observation, lab processed, and derived datasets developed through the CBASS (Casco Bay Aquatic Systems Survey) from 2014-2023.
https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
The Data Center Market report segments the industry into Data Center Size (Large, Massive, Medium, Mega, Small), Tier Type (Tier 1 and 2, Tier 3, Tier 4), Absorption (Non-Utilized, Utilized), and Region (APAC, Africa, Europe, Middle East, North America, South America). Get five years of historical data alongside five-year market forecasts.
In 2023, Korea Aerospace Research Institute (KARI) recorded total assets worth around *** billion South Korean won. This was a decrease from the previous year. As a public institution, the main business of KARI was supporting research and development activities related to the space industry.
Financial overview and grant giving statistics of Mental Research Institute
Data are based on information from all death certificates filed in the 50 states and the District of Columbia and processed by the National Center for Health Statistics (NCHS). Restricted data available through the Research Data Center include geographical indicators, exact date of birth and death of decedent, among others.
https://data.gov.tw/licensehttps://data.gov.tw/license
To help the public understand the issues related to public governance government organizations, a list of related research from 2008 to 2010 is provided to achieve the purpose of open data.
In 2023, Korea Aerospace Research Institute (KARI) recorded a revenue of around 680 billion South Korean won. This was an increase from the previous year and the highest figure recorded during the surveyed period. As a public institution, the main business of KARI was supporting research and development activities related to the space industry.
In 2023, Korea Aerospace Research Institute (KARI) posted an operating profit of around *** billion South Korean won. This was an improvement from the previous year, with the company recovering from a period of losses in recent years. As a public institution, the main business of KARI was supporting research and development activities related to the space industry.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The USDA-ARS Southwest Watershed Research Center (SWRC) operates the Walnut Gulch Experimental Watershed (WGEW) in southeastern Arizona as an outdoor laboratory for studying semiarid rangeland hydrologic, ecosystem, climate, and erosion processes. Since its establishment in 1953, the SWRC in Tucson, Arizona, has collected, processed, managed, and disseminated high-resolution, spatially distributed hydrologic data in support of the center's mission. Data management at the SWRC has evolved through time in response to new computing, storage, and data access technologies. In 1996, the SWRC initiated a multiyear project to upgrade rainfall and runoff sensors and convert analog systems to digital electronic systems supported by data loggers. This conversion was coupled with radio telemetry to remotely transmit recorded data to a central computer, thus greatly reducing operational overhead by reducing labor, maintenance, and data processing time. A concurrent effort was initiated to improve access to SWRC data by creating a system based on a relational database supporting access to the data via the Internet. An SWRC team made up of scientists, IT specialists, programmers, hydrologic technicians, and instrumentation specialists was formed. This effort is termed the Southwest Watershed Research Center Data Access Project (DAP). The goal of the SWRC DAP is to efficiently disseminate data to researchers; land owners, users, and managers; and to the public. Primary access to the data is provided through a Web-based user interface. In addition, data can be accessed directly from within the SWRC network. The first priority for the DAP was to assimilate and make available rainfall and runoff data collected from two instrumented field sites, the WGEW near Tombstone, Arizona, and the Santa Rita Experimental Range (SRER) south of Tucson, Arizona. Resources in this dataset:Resource Title: Data Access Project. File Name: Web Page, url: https://www.tucson.ars.ag.gov/dap Datasets were provided by the USDA-ARS Southwest Watershed Research Center. Funding for these datasets was provided by the United States Department of Agriculture, Agricultural Research Service. Please send 1 copy of the published manuscript to: Southwest Watershed Research Center, 2000 E. Allen Rd. Tucson, AZ 857119
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Ringing data (mainly passerines) has been collected at ringing stations in Northern Poland since 1961. The database is still under development.
FSRDC allows qualified researchers to securely use restricted-access data from the U.S. Census Bureau, the National Center for Health Statistics (NCHS), the Agency for Healthcare Research and Quality (AHRQ), and the Bureau of Labor Statistics. These data are extraordinarily rich and virtually the only source for many important questions in health and social sciences. The Stanford Federal Statistical Research Data Center (FSRDC) allows qualified researchers to securely use restricted-access data from the U.S. Census Bureau, the National Center for Health Statistics (NCHS), the Agency for Healthcare Research and Quality (AHRQ), and the Bureau of Labor Statistics. For example, researchers can access detailed geographic indicators that are not publicly available in data such as the National Health Interview Survey (NHIS) and National Health and Nutrition Examination Survey (NHANES).
PHS does not host FSRDC data. If you wish to use FSRDC data for a health related project, please reach out to the Stanford FSRDC: https://iriss.stanford.edu/fsrdc
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
Metadata access is required to view this section.