The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.

United States Google Search Trends: Government Measures: Government Subsidy data was reported at 0.000 Score in 06 Mar 2025. This stayed constant from the previous number of 0.000 Score for 05 Mar 2025. United States Google Search Trends: Government Measures: Government Subsidy data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 06 Mar 2025, with 1192 observations. The data reached an all-time high of 0.000 Score in 06 Mar 2025 and a record low of 0.000 Score in 06 Mar 2025. United States Google Search Trends: Government Measures: Government Subsidy data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s United States – Table US.Google.GT: Google Search Trends: by Categories.

This represents the top 10 searches that visitors have conducted on via Google Search. The data represents the most recent one-month period.

*Note: On July 1, 2023, standard Universal Analytics properties will stop processing data.

Increasing amounts of structured data can provide value for research and business if the relevant data can be located. Often the data is in a data lake without a consistent schema, making locating useful data challenging. Table search is a growing research area, but existing benchmarks have been limited to displayed tables. Tables sized and formatted for display in a Wikipedia page or ArXiv paper are considerably different from data tables in both scale and style. By using metadata associated with open data from government portals, we create the first dataset to benchmark search over data tables at scale. We demonstrate three styles of table-to-table related table search. The three notions of table relatedness are: tables produced by the same organization, tables distributed as part of the same dataset, and tables with a high degree of overlap in the annotated tags. The keyword tags provided with the metadata also permit the automatic creation of a keyword search over tables benchmark. We provide baselines on this dataset using existing methods including traditional and neural approaches.

The Doing Business Search provides access to information on entities and individuals that do business with the City of New York.

http://www.nyc.gov/portal/site/DBusinessSite

Product Labels approved by TABC before Sept 1, 2021. Learn more about this data and how to search it at https://www.tabc.texas.gov/public-information/approved-labels-search/.

This web map shows the location of the search room of the Government Records Service in Hong Kong. It is a set of data made available by the Administration Wing, Chief Secretary for Administration's Office under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in GEOJSON format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk/.

The IRS Tax Exempt Organization Search tool allows users to find information about an organization's tax-exempt status under the Internal Revenue Code and its tax filings. This includes checking eligibility for tax-deductible contributions (Pub. 78 Data), Form 990 Series Returns, Form 990-N (e-Postcard), Automatic Revocation of Exemption List, and copies of Determination Letters. You can use the online search tool or download data sets in bulk.

Land Parcel and Public Utility Number Search API provides service for application developers to find locations by Land Parcel Number, Public Utility Number, Building Common Spatial Unit ID (Building CSUID), Lot Common Spatial Unit ID (Lot CSUID) and Property Reference Number (PRN) in additional to the existing Location Search API for finding locations by addresses, building names, place names or facility names. Please note that the PRN searching service is applicable to Lot searching only.

This web site is designed to help you obtain basic information about complaints filed regarding companies that do business in Hawaii.

The web site provides access to complaints that were filed with or initiated by OCP. Case numbers reflected in this web site relate to OCP cases.

The information contained in this web site DOES NOT comprise all information from official OCP records available to the public. For more detailed information about how cases are processed in OCP, go to http://hawaii.gov/dcca/ocp/about.

Legal Actions that were filed by OCP before 2001 may not be reflected on this site.

DATSET DESCRIPTION: This dataset details the type of search conducted on a subject during a motor vehicle traffic stop, as well as the criteria used by the officer for conducting the search. GENERAL ORDERS RELATING TO THIS DATA: Both the federal and state Constitutions provide every individual with the right to be free from unreasonable searches and seizures. This order provides general guidelines for Austin Police Department personnel to consider when dealing with search and seizure issues. AUSTIN POLICE DEPARTMENT DATA DISCLAIMER: 1. The data provided is for informational use only and may differ from official Austin Police Department data. The Austin Police Department’s databases are continuously updated, and changes can be made due to a variety of investigative factors including but not limited to offense reclassification and dates. Reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different systems of record may have been used. 4.The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided. The Austin Police Department as of January 1, 2019, become a Uniform Crime Reporting -National Incident Based Reporting System (NIBRS) reporting agency. Crime is reported by persons, property and society. City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats.

Monthly analytics reports for the Brisbane City Council website

Information regarding the sessions for Brisbane City Council website during the month including search terms used.

Identifies the conserved domains present in a protein sequence. CD-Search uses RPS-BLAST (Reverse Position-Specific BLAST) to compare a query sequence against position-specific score matrices that have been prepared from conserved domain alignments present in the Conserved Domain Database (CDD).

Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and financial systems. Domain experts are often interested in searching for interesting multivariate patterns from these MTS databases which can contain up to several gigabytes of data. Surprisingly, research on MTS search is very limited. Most existing work only supports queries with the same length of data, or queries on a fixed set of variables. In this paper, we propose an efficient and flexible subsequence search framework for massive MTS databases, that, for the first time, enables querying on any subset of variables with arbitrary time delays between them. We propose two provably correct algorithms to solve this problem — (1) an R-tree Based Search (RBS) which uses Minimum Bounding Rectangles (MBR) to organize the subsequences, and (2) a List Based Search (LBS) algorithm which uses sorted lists for indexing. We demonstrate the performance of these algorithms using two large MTS databases from the aviation domain, each containing several millions of observations. Both these tests show that our algorithms have very high prune rates (>95%) thus needing actual disk access for only less than 5% of the observations. To the best of our knowledge, this is the first flexible MTS search algorithm capable of subsequence search on any subset of variables. Moreover, MTS subsequence search has never been attempted on datasets of the size we have used in this paper.

The LIS/OTD 2.5 Degree Low Resolution Monthly Climatology Time Series (LRMTS) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRMTS dataset include monthly flash rate time series data in MP4 format.