Investigator(s): Federal Judicial Center The purpose of this data collection is to provide an official public record of the business of the federal courts. The data originate from 100 court offices throughout the United States. Information was obtained at two points in the life of a case: filing and termination. The termination data contain information on both filing and terminations, while the pending data contain only filing information. For the appellate and civil data, the unit of analysis is a single case. The unit of analysis for the criminal data is a single defendant.Years Produced: Updated bi-annually with annual data.

Database of Federal programs organized by industry that international business investors may be eligible for.

A XLSX export of summarized data for all DoD and specified civilian agency assets contained within the FRPP, a government-wide database of executive branch agency federal real property assets, that cannot be made public at a detailed level. Data for these records is summarized at the Installation Level.

United States Federal Govt Outlays: MI: Mandatory: Programmed: Social Security data was reported at 1,348.000 USD bn in 2023. This records an increase from the previous number of 1,212.500 USD bn for 2022. United States Federal Govt Outlays: MI: Mandatory: Programmed: Social Security data is updated yearly, averaging 293.600 USD bn from Sep 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 1,348.000 USD bn in 2023 and a record low of 14.000 USD bn in 1962. United States Federal Govt Outlays: MI: Mandatory: Programmed: Social Security data remains active status in CEIC and is reported by Office of Management and Budget. The data is categorized under Global Database’s United States – Table US.F006: Federal Government Receipts and Outlays: Annual.

United States agricultural researchers have many options for making their data available online. This dataset aggregates the primary sources of ag-related data and determines where researchers are likely to deposit their agricultural data. These data serve as both a current landscape analysis and also as a baseline for future studies of ag research data. Purpose As sources of agricultural data become more numerous and disparate, and collaboration and open data become more expected if not required, this research provides a landscape inventory of online sources of open agricultural data. An inventory of current agricultural data sharing options will help assess how the Ag Data Commons, a platform for USDA-funded data cataloging and publication, can best support data-intensive and multi-disciplinary research. It will also help agricultural librarians assist their researchers in data management and publication. The goals of this study were to establish where agricultural researchers in the United States-- land grant and USDA researchers, primarily ARS, NRCS, USFS and other agencies -- currently publish their data, including general research data repositories, domain-specific databases, and the top journals compare how much data is in institutional vs. domain-specific vs. federal platforms determine which repositories are recommended by top journals that require or recommend the publication of supporting data ascertain where researchers not affiliated with funding or initiatives possessing a designated open data repository can publish data Approach The National Agricultural Library team focused on Agricultural Research Service (ARS), Natural Resources Conservation Service (NRCS), and United States Forest Service (USFS) style research data, rather than ag economics, statistics, and social sciences data. To find domain-specific, general, institutional, and federal agency repositories and databases that are open to US research submissions and have some amount of ag data, resources including re3data, libguides, and ARS lists were analysed. Primarily environmental or public health databases were not included, but places where ag grantees would publish data were considered. Search methods We first compiled a list of known domain specific USDA / ARS datasets / databases that are represented in the Ag Data Commons, including ARS Image Gallery, ARS Nutrition Databases (sub-components), SoyBase, PeanutBase, National Fungus Collection, i5K Workspace @ NAL, and GRIN. We then searched using search engines such as Bing and Google for non-USDA / federal ag databases, using Boolean variations of “agricultural data” /“ag data” / “scientific data” + NOT + USDA (to filter out the federal / USDA results). Most of these results were domain specific, though some contained a mix of data subjects. We then used search engines such as Bing and Google to find top agricultural university repositories using variations of “agriculture”, “ag data” and “university” to find schools with agriculture programs. Using that list of universities, we searched each university web site to see if their institution had a repository for their unique, independent research data if not apparent in the initial web browser search. We found both ag specific university repositories and general university repositories that housed a portion of agricultural data. Ag specific university repositories are included in the list of domain-specific repositories. Results included Columbia University – International Research Institute for Climate and Society, UC Davis – Cover Crops Database, etc. If a general university repository existed, we determined whether that repository could filter to include only data results after our chosen ag search terms were applied. General university databases that contain ag data included Colorado State University Digital Collections, University of Michigan ICPSR (Inter-university Consortium for Political and Social Research), and University of Minnesota DRUM (Digital Repository of the University of Minnesota). We then split out NCBI (National Center for Biotechnology Information) repositories. Next we searched the internet for open general data repositories using a variety of search engines, and repositories containing a mix of data, journals, books, and other types of records were tested to determine whether that repository could filter for data results after search terms were applied. General subject data repositories include Figshare, Open Science Framework, PANGEA, Protein Data Bank, and Zenodo. Finally, we compared scholarly journal suggestions for data repositories against our list to fill in any missing repositories that might contain agricultural data. Extensive lists of journals were compiled, in which USDA published in 2012 and 2016, combining search results in ARIS, Scopus, and the Forest Service's TreeSearch, plus the USDA web sites Economic Research Service (ERS), National Agricultural Statistics Service (NASS), Natural Resources and Conservation Service (NRCS), Food and Nutrition Service (FNS), Rural Development (RD), and Agricultural Marketing Service (AMS). The top 50 journals' author instructions were consulted to see if they (a) ask or require submitters to provide supplemental data, or (b) require submitters to submit data to open repositories. Data are provided for Journals based on a 2012 and 2016 study of where USDA employees publish their research studies, ranked by number of articles, including 2015/2016 Impact Factor, Author guidelines, Supplemental Data?, Supplemental Data reviewed?, Open Data (Supplemental or in Repository) Required? and Recommended data repositories, as provided in the online author guidelines for each the top 50 journals. Evaluation We ran a series of searches on all resulting general subject databases with the designated search terms. From the results, we noted the total number of datasets in the repository, type of resource searched (datasets, data, images, components, etc.), percentage of the total database that each term comprised, any dataset with a search term that comprised at least 1% and 5% of the total collection, and any search term that returned greater than 100 and greater than 500 results. We compared domain-specific databases and repositories based on parent organization, type of institution, and whether data submissions were dependent on conditions such as funding or affiliation of some kind. Results A summary of the major findings from our data review: Over half of the top 50 ag-related journals from our profile require or encourage open data for their published authors. There are few general repositories that are both large AND contain a significant portion of ag data in their collection. GBIF (Global Biodiversity Information Facility), ICPSR, and ORNL DAAC were among those that had over 500 datasets returned with at least one ag search term and had that result comprise at least 5% of the total collection. Not even one quarter of the domain-specific repositories and datasets reviewed allow open submission by any researcher regardless of funding or affiliation. See included README file for descriptions of each individual data file in this dataset. Resources in this dataset:Resource Title: Journals. File Name: Journals.csvResource Title: Journals - Recommended repositories. File Name: Repos_from_journals.csvResource Title: TDWG presentation. File Name: TDWG_Presentation.pptxResource Title: Domain Specific ag data sources. File Name: domain_specific_ag_databases.csvResource Title: Data Dictionary for Ag Data Repository Inventory. File Name: Ag_Data_Repo_DD.csvResource Title: General repositories containing ag data. File Name: general_repos_1.csvResource Title: README and file inventory. File Name: README_InventoryPublicDBandREepAgData.txt

The Federal Advisory Committee Act (FACA) database is used by Federal agencies to continuously manage an average of 1,000 advisory committees government-wide. This database is also used by the Congress to perform oversight of related Executive Branch programs and by the public, the media, and others, to stay abreast of important developments resulting from advisory committee activities. Although centrally supported by the General Services Administration's (GSA) Committee Management Secretariat, the database represents a true shared system wherein each participating agency and individual committee manager has responsibility for providing accurate and timely information that may be used to assure that the system's wide array of users has access to data required by FACA.

The dataset catalogs and describes existing online, federally supported databases and tools dealing with various aspects of a potential national Early Detection and Rapid Response (EDRR) invasive species framework. This dataset is supplementary material 2 and 3 to the manuscript, "Envisioning a national invasive species information framework" (Reaser et al., 2020) published as part of a special open source issue dealing with invasive species early detection and rapid response by the journal Biological Invasions, Volume 22, Issue 1, January 2020 (https://link.springer.com/journal/10530/22/1). A user-friendly version of this dataset is also available online as a USGS Library Guide, here: https://libraryguides.usgs.gov/edrrinvasive

Comprehensive database of federal deregulation news from government agencies, think tanks, and news sources

RIDB is a part of the Recreation One Stop (Rec1Stop) project, initiated as a result of a government modernization study conducted in 2004. Rec1Stop provides a user-friendly, web-based resource to citizens, offering a single point of access to information about recreational opportunities nationwide. The web site represents an authoritative source of information and services for millions of visitors to federal lands, historic sites, museums, and other attractions/resources. Recreation Information Database (RIDB) Application Programming Interface (API) is provided for the purpose of accessing RIDB API endpoints which contain information for federal recreation areas, facilities, campsites, tours, and permits. Federal agencies provide and are responsible for the quality of data contained in the RIDB. Some data may be missing or incomplete. For example, some latitudes and longitudes may be blank. Please be mindful of this when searching for something in particular or applying proximity (radius) filters. Resources in this dataset:Resource Title: RIDB.recreation.gov. File Name: Web Page, url: https://ridb.recreation.gov/ RIDB is a part of the Recreation One Stop (Rec1Stop) project, initiated as a result of a government modernization study conducted in 2004. Rec1Stop provides a user-friendly, web-based resource to citizens, offering a single point of access to information about recreational opportunities nationwide. The web site represents an authoritative source of information and services for millions of visitors to federal lands, historic sites, museums, and other attractions/resources.

United States Federal Government Outlays data was reported at 528.165 USD bn in Mar 2025. This records a decrease from the previous number of 603.441 USD bn for Feb 2025. United States Federal Government Outlays data is updated monthly, averaging 177.991 USD bn from Oct 1980 (Median) to Mar 2025, with 534 observations. The data reached an all-time high of 1,104.903 USD bn in Jun 2020 and a record low of 45.930 USD bn in Jan 1982. United States Federal Government Outlays data remains active status in CEIC and is reported by Bureau of the Fiscal Service. The data is categorized under Global Database’s United States – Table US.F005: Federal Government Receipts and Outlays. For the months of Jan-1793 to Mar-2005, the source has made backdated adjustments on Federal Government Outlays (id:40864101). Thus, On Budget Outlays (id:40864201) and Off Budget Outlays (id:40864301) may not add up to Federal Government Outlays (id:40864101). [COVID-19-IMPACT]

This ownership dataset utilizes a methodology that results in a federal ownership extent that matches the Federal Responsibility Areas (FRA) footprint from CAL FIRE's State Responsibility Areas for Fire Protection (SRA) data. FRA lands are snapped to county parcel data, thus federal ownership areas will also be snapped. Since SRA Fees were first implemented in 2011, CAL FIRE has devoted significant resources to improve the quality of SRA data. This includes comparing SRA data to data from other federal, state, and local agencies, an annual comparison to county assessor roll files, and a formal SRA review process that includes input from CAL FIRE Units. As a result, FRA lands provide a solid basis as the footprint for federal lands in California (except in the southeastern desert area). The methodology for federal lands involves: 1) snapping federal data sources to parcels; 2) clipping to the FRA footprint; 3) overlaying the federal data sources and using a hierarchy when sources overlap to resolve coding issues (BIA, UFW, NPS, USF, BLM, DOD, ACE, BOR); 4) utilizing an automated process to merge “unknown” FRA slivers with appropriate adjacent ownerships;5) a manual review of FRA areas not assigned a federal agency by this process. Non-Federal ownership information was obtained from the California Protected Areas Database (CPAD), was clipped to the non-FRA area, and an automated process was used to fill in some sliver-gaps that occurred between the federal and non-federal data. Southeastern Desert Area: CAL FIRE does not devote the same level of resources for maintaining SRA data in this region of the state, since we have no fire protection responsibility. This includes almost all of Imperial County, and the desert portions of Riverside, and San Bernardino Counties. In these areas, we used federal protection areas from the current version of the Direct Protection Areas (DPA) dataset. Due to the fact that there were draw-issues with the previous version of ownership, this version does NOT fill in the areas that are not assigned to one of the owner groups (it does not cover all lands in the state). Also unlike previous versions of the dataset, this version only defines ownership down to the agency level - it does not contain more specific property information (for example, which National Forest). The option for a more detailed future release remains, however, and due to the use of automated tools, could always be created without much additional effort.This dataset includes a representation to symbolize based on the Own_Group field using the standard color scheme utilized on DPA maps.For more details about data inputs, see the Lineage section of the metadata. For detailed notes on previous versions, see the Supplemental Information section of the metadata.This ownership dataset is derived from CAL FIRE's SRA dataset, and GreenInfo Network's California Protected Areas Database. CAL FIRE tracks lands owned by federal agencies as part of our efforts to maintain fire protection responsibility boundaries, captured as part of our State Responsiblity Areas (SRA) dataset. This effort draws on data provided by various federal agencies including USDA Forest Service, BLM, National Park Service, US Fish and Wildlife Service, and Bureau of Inidan Affairs. Since SRA lands are matched to county parcel data where appropriate, often federal land boundaries are also adjusted to match parcels, and may not always exactly match the source federal data. Federal lands from the SRA dataset are combined with ownership data for non-federal lands from CPAD, in order to capture lands owned by various state and local agencies, special districts, and conservation organizations. Data from CPAD are imported directly and not adjusted to match parcels or other features. However, CPAD features may be trimmed if they overlap federal lands from the SRA dataset. Areas without an ownership feature are ASSUMED to be private (but not included in the dataset as such). This service represents the latest release of the dataset by FRAP, and is updated twice a year when new versions are released.

Every Federal agency that operates or directs one or more Federal laboratories or that conducts research and development is required to prepare and submit an annual report of its technology transfer activities as described in 15 U.S.C. § 3710(f).

Convert Non-Fed app. to web app (currently Access 2000). The database maintans facility wise data on operational status, equipment type, facility functionality, location, etc.

United States - Sources of Revenue: Directories, Databases, and Other Collections of Information - Subscriptions and Sales for Directory and Mailing List Publishers, All Establishments, Employer Firms was 1854.00000 Mil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Sources of Revenue: Directories, Databases, and Other Collections of Information - Subscriptions and Sales for Directory and Mailing List Publishers, All Establishments, Employer Firms reached a record high of 3163.00000 in January of 2013 and a record low of 1653.00000 in January of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Sources of Revenue: Directories, Databases, and Other Collections of Information - Subscriptions and Sales for Directory and Mailing List Publishers, All Establishments, Employer Firms - last updated from the United States Federal Reserve on September of 2025.

Comprehensive dataset containing 89 verified Federal government office businesses in Colombia with complete contact information, ratings, reviews, and location data.

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Database of human nutrition research and research training activities supported by the federal government. Information regarding trends in nutrition research, specific institutions and investigators involved in this research, or areas of agency emphases can be obtained from database searches or from published summary reports. Data for the system is prepared and submitted by participating agencies, and is updated annually. The database contains several thousand projects for each of fiscal years 1985present. Participating agencies include the Department of Health and Human Services, the U.S. Department of Agriculture, the Department of Veteran Affairs, the Agency for International Development, the Department of Defense, Department of Commerce, National Science Foundation, and the National Aeronautics and Space Administration.

The Information Collection Rule (ICR) Federal database includes research data from an 18-month study of disinfection byproducts and microbial contaminants.

Graph and download economic data for Breakdown of Revenue by Media Type: Directories, Databases, and Other Collections of Information - Print Directories, Databases, and Other Collections of Information for Directory and Mailing List Publishers, All Establishments, Employer Firms (RPCMPDEF51114ALLEST) from 2013 to 2020 about postal, collection, printing, employer firms, information, accounting, revenue, establishments, services, and USA.

United States - Sources of Revenue: Directories, Databases, and Other Collections of Information - Advertising Space for Directory and Mailing List Publishers, All Establishments, Employer Firms was 1781.00000 Mil. of $ in January of 2020, according to the United States Federal Reserve. Historically, United States - Sources of Revenue: Directories, Databases, and Other Collections of Information - Advertising Space for Directory and Mailing List Publishers, All Establishments, Employer Firms reached a record high of 9226.00000 in January of 2010 and a record low of 1618.00000 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Sources of Revenue: Directories, Databases, and Other Collections of Information - Advertising Space for Directory and Mailing List Publishers, All Establishments, Employer Firms - last updated from the United States Federal Reserve on September of 2025.

National Address DatabaseThis National Geospatial Data Asset (NGDA) dataset, shared as a U.S. Department of Transportation (USDOT) feature layer, displays address data in the United States. Per USDOT, "The U.S. Department of Transportation (USDOT) and its partners from all levels of government recognize the need for a National Address Database (NAD). Accurate and up-to-date addresses are critical to transportation safety and are a vital part of Next Generation 9-1-1. They are also essential for a broad range of government services, including mail delivery, permitting, and school siting. To meet this need, USDOT partners with address programs from state, local, and tribal governments to compile their authoritative data into the NAD."District of Columbia (DC) Residential AddressesData currency: Current federal service (Address Points from National Address Database)NGDAID: 196 (National Address Database (NAD))For more information: Getting to know the National Address Database (NAD); National Address DatabaseFor feedback, please contact: Esri_US_Federal_Data@esri.com NGDA Data SetThis data set is part of the NGDA Transportation Theme Community. Per the Federal Geospatial Data Committee (FGDC), Transportation is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations". For other NGDA Content: Esri Federal Datasets