Age and length frequency data for finfish and invertebrate species collected during commercial fishing vessels. Samples are collected by fisheries reporting specialist from fish dealers in ports along the northwest Atlantic Ocean from Maine to North Carolina.

As of June 2024, the most popular commercial database management system (DBMS) in the world was Oracle, with a ranking score of 1244. MySQL was the most popular open source DBMS at that time, with a ranking score of 1061.

Commercial valuation data collected and maintained by the Cook County Assessor's Office, from 2021 to present. The office uses this data primarily for valuation and reporting. This dataset consolidates the individual Excel workbooks available on the Assessor's website into a single shared format. Properties are valued using similar valuation methods within each model group, per township, per year (in the year the township is reassessed). This dataset has been cleaned minimally, only enough to fit the source Excel workbooks together - because models are updated for each township in the year it is reassessed, users should expect inconsistencies within columns across time and townships. When working with Parcel Index Numbers (PINs) make sure to zero-pad them to 14 digits. Some datasets may lose leading zeros for PINs when downloaded. This data is property-level. Each 14-digit key PIN represents one commercial property. Commercial properties can and often do encompass multiple PINs. Additional notes: Current property class codes, their levels of assessment, and descriptions can be found on the Assessor's website. Note that class codes details can change across time. Data will be updated yearly, once the Assessor has finished mailing first pass values. If users need more up-to-date information they can access it through the Assessor's website. The Assessor's Office reassesses roughly one third of the county (a triad) each year. For commercial valuations, this means each year of data only contain the triad that was reassessed that year. Which triads and their constituent townships have been reassessed recently as well the year of their reassessment can be found in the Assessor's assessment calendar. One KeyPIN is one Commercial Entity. Each KeyPIN (entity) can be comprised of one single PIN (parcel), or multiple PINs as designated in the pins column. Additionally, each KeyPIN might have multiple rows if it is associated with different class codes or model groups. This can occur because many of Cook County's parcels have multiple class codes associated with them if they have multiple uses (such as residential and commercial). Users should not expect this data to be unique by any combination of available columns. Commercial properties are calculated by first determining a property’s use (office, retail, apartments, industrial, etc.), then the property is grouped with similar or like-kind property types. Next, income generated by the property such as rent or incidental income streams like parking or advertising signage is examined. Next, market-level vacancy based on location and property type is examined. In addition, new construction that has not yet been leased is also considered. Finally, expenses such as property taxes, insurance, repair and maintenance costs, property management fees, and service expenditures for professional services are examined. Once a snapshot of a property’s income statement is captured based on market data, a standard valuation metric called a “capitalization rate” to convert income to value is applied. This data was used to produce initial valuations mailed to property owners. It does not incorporate any subsequent changes to a property’s class, characteristics, valuation, or assessed value from appeals.Township codes can be found in the legend of this map. For more information on the sourcing of attached data and the preparation of this datase

The Commercial Building Inventories provide modeled data on commercial building type, vintage, and area for each U.S. city and county. Please note this data is modeled and more precise data may be available through county assessors or other sources. Commercial building stock data is estimated using CoStar Realty Information, Inc. building stock data.

This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and builds on Cities-LEAP energy modeling, available at the "EERE Cities-LEAP Page" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.

Market Analysis for Commercial Patent Database The global commercial patent database market size is projected to reach USD XXX million by 2033, exhibiting a CAGR of XX% from 2025 to 2033. Rising demand for patent protection and analysis, coupled with the increasing complexity of patent landscapes, fuels market growth. Additionally, government initiatives and incentives to promote innovation and technological advancements contribute to the industry's expansion. Key market drivers include the growing awareness of intellectual property rights and the need for companies to protect their innovations. The emergence of new technologies, such as artificial intelligence (AI) and machine learning (ML), enhances the accessibility and efficiency of patent searches and analysis, further stimulating market demand. However, factors such as copyright and patent infringement concerns and the high cost of maintaining databases may hinder market expansion. Nevertheless, the continuous evolution of patent laws and regulations and the globalization of the patent system present opportunities for market participants.

This table contains information about commercial properties including number of stories, elevators, exterior wall type, floor type and roof type for commercial properties within Fairfax County. There is a one to many relationship to the parcel data. Refer to this document for descriptions of the data in the table.

Real Estate Investment: Commercial Building: Anhui data was reported at 35,627.570 RMB mn in 2023. This records a decrease from the previous number of 51,792.600 RMB mn for 2022. Real Estate Investment: Commercial Building: Anhui data is updated yearly, averaging 26,422.390 RMB mn from Dec 1995 (Median) to 2023, with 28 observations. The data reached an all-time high of 102,586.200 RMB mn in 2015 and a record low of 626.370 RMB mn in 1995. Real Estate Investment: Commercial Building: Anhui data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Commercial Building.

This data set contains pounds and value for all seafood products that are landed and sold by established seafood dealers and brokers in the SE Region of the US mainland. In the US Caribbean, the landings are reported by permitted fishers. These types of data, referred to as the general canvass landings statistics, have been collected by the NOAA Fisheries Service, National Marine Fisheries Service and its predecessor agency, the Bureau of Commercial Fisheries. These data are available on computer since the mid 1920s. The quantities and values that are reported in this data set include monthly landings that were initiated in 1972. Between 1926 and 1971, data were collected annually and not monthly. Mixed annual and monthly data occur from 1972-1976 according to State and year. The general canvass landings include quantities and value for all commercially caught marine species and are identified by species or species group. These data are collected from or reported by every seafood dealer or broker that is licensed by each state in the Southeast Region (North Carolina through Texas). In addition, information on the gear and area of capture is available for most of the landings statistics in the data set except for Florida 1977-1996 and Louisiana 1992-1999. However, because these data are summaries, they do not contain information on the quantities of fishing effort or identifications of the fishermen or vessels that caught the fish or shellfish. In early years, these data were collected by field agents employed by the Southeast Fisheries Science Center and assigned to local fishing ports. These individuals would canvass the seafood dealers and record the quantity and value for each species or species category from the sales receipts maintained by the seafood dealers. Based on their detailed knowledge of the fishing activity in the area, the agents would estimate the type of fishing gear and area where the fishing was likely to have occurred. It should be noted that landings by gear and water body (fishing area) does not reside in the monthly landings data set for Florida for the years, 1977-1995, Louisiana 1990-1999, and Texas (for gear) from 1993 to present (this is subject to change for years 2008 and more recent). Annual landings by gear, water body and distance from shore are available in the Annual General Canvass data for Florida. More detailed information on the caveats associated with these data is provided in the Issues section. In more recent years, the states in the Southeast Region began to implement trip ticket programs that required the licensed seafood dealer/brokers to report the landings of all seafood products. A trip ticket program was initiated in Florida in 1985, in North Carolina in 1994, in Louisiana in 1999, in Alabama in 2000, and in Texas in 2007. In addition to the quantities of these landings, the states require dealers to report the price, the type of gear and the fishing area for each trip. Through cooperative agreements with each of the states, monthly summaries of the states trip ticket programs are provided to the Southeast Fisheries Science Center (SEFSC) and are included in the general canvass landings data set. In addition, summarized data are extracted from the NOAA-SEFSC Gulf Shrimp System for commercial landings of shrimp species that are landed at port in the coastal area of the Gulf of Mexico.

Real Estate Investment: Commercial Building: Jiangsu data was reported at 81,297.620 RMB mn in 2023. This records a decrease from the previous number of 87,655.890 RMB mn for 2022. Real Estate Investment: Commercial Building: Jiangsu data is updated yearly, averaging 56,092.730 RMB mn from Dec 1995 (Median) to 2023, with 28 observations. The data reached an all-time high of 128,670.850 RMB mn in 2014 and a record low of 3,412.810 RMB mn in 1996. Real Estate Investment: Commercial Building: Jiangsu data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Commercial Building.

SafeGraph Places provides baseline location information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).

SafeGraph Places is a point of interest (POI) data offering with varying coverage and properties depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.

SafeGraph provides clean and accurate geospatial datasets on 51M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation.

Names of parking lot owners and inventory Update Frequency: Semi-Annually

Comprehensive dataset of 7,148 Commercial photographers in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset contains Commercial (Comm) Radio Occultation (RO) raw data from Spire Global Subsidiary, which is an established method for remote sounding of the atmosphere. The technique uses an instrument in low-Earth orbit (LEO) to track radio signals from Global Navigation Satellite System (GNSS) transmitters as they rise or set through the atmosphere. The occulting atmosphere refracts or bends the radio signals, and given the precise positions of both satellites, the bending angle can be deduced from the time delay of the signal. Collecting these measurements for a full occultation through the atmosphere provides a vertical profile of bending angles, from which profiles of physical quantities such as temperature, humidity, and ionospheric electron density can be retrieved. These data primarily feed numerical weather prediction (NWP) models that support weather forecasts, and also support space weather analysis/prediction at NOAA.

Graph and download economic data for Commercial Real Estate Prices for United States (COMREPUSQ159N) from Q1 2005 to Q3 2024 about real estate, commercial, rate, and USA.

Real Estate Investment: Commercial Building: Shanghai data was reported at 48,979.980 RMB mn in 2023. This records an increase from the previous number of 41,617.120 RMB mn for 2022. Real Estate Investment: Commercial Building: Shanghai data is updated yearly, averaging 18,510.000 RMB mn from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 55,985.100 RMB mn in 2020 and a record low of 2,930.080 RMB mn in 1997. Real Estate Investment: Commercial Building: Shanghai data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Commercial Building.

Dataset

This dataset was created by Breno Couto

Contents

This report is the result of the Austin City Code 6-7’s Energy Conservation Audit and Disclosure Ordinance approved in November 2008 (amended in April 2011) to improve the energy efficiency of homes and buildings that receive electricity from Austin Energy. The ordinance meets one of the goals of the Austin Climate Protection Plan, which is to offset 800 megawatts of peak energy demand by 2020. This report contains information on commercial facilities that have reported the EPA’s Energy Star Portfolio Manager benchmarking results in 2014 () to the City of Austin, as well as the calculated electric Energy Utilization Index (EUI). For information on ECAD exemptions and other requirements, see Austin City Code Chapter 6-7. Note – () Data reported by Commercial Customers

Data for all Commercial Building Permits issued since 2000, including status and work performed. Update Frequency: Daily

To assist the Caribbean Fishery Management Council in managing marine living resources in the United States Virgin Islands, the Southeast Fisheries Science Center (SEFSC) collected economic cost data from commercial fishermen in July 2014. Surveys were administered in-person during the annual registration process. Per-trip and fixed cost estimates are included. This data set includes survey results merged with individual landings from the territorial governments logbook program. Summary results and forms can be found at http://www.sefsc.noaa.gov/socialscience/CrossonUSVI2015.htm