74 datasets found
  1. Commercial Buildings Energy Consumption Survey

    • catalog.data.gov
    • data.wu.ac.at
    Updated Jul 6, 2021
    + more versions
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    U.S. Energy Information Administration (2021). Commercial Buildings Energy Consumption Survey [Dataset]. https://catalog.data.gov/dataset/commercial-buildings-energy-consumption-survey
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    Dataset updated
    Jul 6, 2021
    Dataset provided by
    Energy Information Administrationhttp://www.eia.gov/
    Description

    The Commercial Buildings Energy Consumption Survey (CBECS) is a national sample survey that collects information on the stock of U.S. commercial buildings, their energy-related building characteristics, and their energy consumption and expenditures. Commercial buildings include all buildings in which at least half of the floorspace is used for a purpose that is not residential, industrial, or agricultural, so they include building types that might not traditionally be considered "commercial," such as schools, correctional institutions, and buildings used for religious worship. The CBECS was first conducted in 1979; the eighth, and most recent survey, was conducted in 2003. CBECS is currently conducted on a quadrennial basis.

  2. d

    Socio-economic Survey of Commercial Fishing Crew in the Northeast

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated May 24, 2025
    + more versions
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    NEFSC Woods Hole Lab (Custodian) (2025). Socio-economic Survey of Commercial Fishing Crew in the Northeast [Dataset]. https://catalog.data.gov/dataset/socio-economic-survey-of-commercial-fishing-crew-in-the-northeast1
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    Dataset updated
    May 24, 2025
    Dataset provided by
    NEFSC Woods Hole Lab (Custodian)
    Area covered
    Northeastern United States
    Description

    The Northeast Fisheries Science Center's Social Sciences Branch (SSB) completed a survey of crew, including hired captains, participating in commercial fisheries in the New England and Mid-Atlantic regions. The purpose of the survey effort was to collect data that would contribute to the development of fisheries performance measures, with a emphasis on collecting data for social performance measures in the areas of governance, stewardship, and well-being. The survey began in October 2012 and concluded in 2013. Commercial fishing vessel crew were intercepted at several selected fishing ports from the region, and asked to participate in the survey. Participating crew members were interviewed orally using a standardized set of survey questions, with the interview entering the crew member's responses on a hand held tablet. By the close of the survey, 400 interviews were completed.

  3. d

    Northeast Commercial Fishing Vessel Cost Survey

    • catalog.data.gov
    • fisheries.noaa.gov
    • +1more
    Updated May 24, 2025
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    (Point of Contact, Custodian) (2025). Northeast Commercial Fishing Vessel Cost Survey [Dataset]. https://catalog.data.gov/dataset/northeast-commercial-fishing-vessel-cost-survey1
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    Dataset updated
    May 24, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Description

    Typically, commercial fishing businesses incur three major types of costs: fixed or annual costs; which are incurred annually irrespective of whether any fishing activity takes place; variable costs, which are associated with fishing effort (fishing trips); and labor costs for crew, including hired captains. The Northeast Fisheries Science Center collects the variable costs associated with fishing trips on a continuous basis as part of a fisheries observer program. There have been few attempts at establishing a protocol to collect fixed and labor cost data across fisheries. The Social Sciences Branch (SSB) previously collected fixed costs in 2007-2009, but response to the survey was low. The SSB conducted a survey of commercial fishing vessel owners in the New England and Mid-Atlantic states to collect their total fishing costs (fixed, variable and labor costs) for 2011 and 2012. A survey to collect total costs for 2011 was implemented in 2012 and information on 2012 total costs was gathered in a similar 2013 survey effort. For each year, the survey sample was stratified by primary gear type and vessel size. Information for Northeast commercial fishing vessels in the population of interest was pulled from the existing NMFS PERMIT, VTR, and CFDBS databases; this information included vessel owner contact information, vessel characteristics and vessel landings and revenues. Response rates were 30% (437 completed) and 21% (396 completed), respectively. Vessel owner participation in the survey effort was voluntary.

  4. Japan JP: Land Price Survey: Average Land Price: Commercial: Shiga

    • ceicdata.com
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    CEICdata.com, Japan JP: Land Price Survey: Average Land Price: Commercial: Shiga [Dataset]. https://www.ceicdata.com/en/japan/land-price-survey-by-region/jp-land-price-survey-average-land-price-commercial-shiga
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2006 - Jun 1, 2017
    Area covered
    Japan
    Variables measured
    Supply Prices
    Description

    Japan JP: Land Price Survey: Average Land Price: Commercial: Shiga data was reported at 89,200.000 JPY/sq m in 2018. This records an increase from the previous number of 88,200.000 JPY/sq m for 2017. Japan JP: Land Price Survey: Average Land Price: Commercial: Shiga data is updated yearly, averaging 90,000.000 JPY/sq m from Jun 1996 (Median) to 2018, with 23 observations. The data reached an all-time high of 186,300.000 JPY/sq m in 1996 and a record low of 82,500.000 JPY/sq m in 2005. Japan JP: Land Price Survey: Average Land Price: Commercial: Shiga data remains active status in CEIC and is reported by Ministry of Land, Infrastructure, Transport and Tourism. The data is categorized under Global Database’s Japan – Table JP.P004: Land Price: By Region.

  5. d

    POI Profiling — Acoustic Data + Occupancy for Commercial Real Estate (10M+...

    • datarade.ai
    .json, .xml, .xls
    Updated Apr 13, 2025
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    Silencio Network (2025). POI Profiling — Acoustic Data + Occupancy for Commercial Real Estate (10M+ Check-ins) [Dataset]. https://datarade.ai/data-products/poi-noise-profiles-by-city-region-acoustic-data-for-comme-silencio-network
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    .json, .xml, .xlsAvailable download formats
    Dataset updated
    Apr 13, 2025
    Dataset provided by
    Quickkonnect UG
    Authors
    Silencio Network
    Area covered
    Libya, San Marino, Guam, Turkey, Cayman Islands, Pitcairn, Northern Mariana Islands, Ghana, Dominica, Bulgaria
    Description

    Silencio’s POI Average Noise-Level Dataset provides actionable noise exposure insights for commercial real estate professionals, developers, and investors. Derived from over 10 million POI check-ins, this dataset helps assess environmental conditions across cities, regions, and countries, enabling smarter site selection, market analysis, and investment strategies.

    Use it to: • Evaluate neighborhood stores acoustic profiles • Support commercial property valuations • Compare POIs for asset allocation

    Data is delivered via CSV or S3 bucket (no high-resolution maps). AI-driven enhancements are in progress. Fully anonymized and GDPR-compliant.

  6. MarketScan Commercial Database

    • redivis.com
    application/jsonl +7
    Updated Jun 27, 2025
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    Stanford Center for Population Health Sciences (2025). MarketScan Commercial Database [Dataset]. http://doi.org/10.57761/p0ta-q619
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    application/jsonl, parquet, arrow, avro, csv, spss, stata, sasAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Dec 31, 2006 - Oct 4, 2024
    Description

    Abstract

    The MarketScan Commercial Database (previously called the 'MarketScan Database') contains real-world data for healthcare research and analytics to examine health economics and treatment outcomes.

    This page also contains the MarketScan Commercial Lab Database starting in 2018.

    Methodology

    MarketScan Research Databases are a family of data sets that fully integrate many types of data for healthcare research, including:

    • De-identified records of more than 188 million patients (medical, drug and dental)

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    • Laboratory results

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    • Hospital discharges

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    The MarketScan Databases track millions of patients throughout the healthcare system. The data are contributed by large employers, managed care organizations, hospitals, EMR providers, and Medicare.

    Usage

    This page contains the MarketScan Commercial Database.

    We also have the following on other pages:

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    Before Manuscript Submission

    All manuscripts (and other items you'd like to publish) must be submitted to support@stanfordphs.freshdesk.com 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

    Data Documentation

    Data access is required to view this section.

    Section 2

    Metadata access is required to view this section.

    Section 3

    Metadata access is required to view this section.

    Usage FAQs (Answers provided in User Guide starting on page 56)

    Metadata access is required to view this section.

  7. C

    Commercial Side Scan Sonar Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Mar 13, 2025
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    Pro Market Reports (2025). Commercial Side Scan Sonar Report [Dataset]. https://www.promarketreports.com/reports/commercial-side-scan-sonar-37060
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 13, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The commercial side scan sonar market is experiencing robust growth, driven by increasing demand for underwater surveys across various sectors. The market, valued at approximately $250 million in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors, including the expansion of offshore oil and gas exploration activities, the surge in renewable energy projects (particularly offshore wind farms requiring meticulous seabed mapping), and the rising need for underwater infrastructure inspections and maintenance. The increasing adoption of advanced sonar technologies, such as multi-beam systems offering higher resolution and improved data acquisition capabilities, is further contributing to market expansion. Furthermore, stringent regulations concerning marine environmental protection and the necessity for precise underwater surveys are driving the adoption of side scan sonar across various applications. Segmentation within the market reveals a strong preference for multi-beam systems due to their superior imaging capabilities, though single-beam sonars continue to maintain a significant presence, particularly in applications requiring simpler and cost-effective solutions. The application segments are diverse, with offshore oil and gas site surveys, underwater pre-construction surveys, and pipeline/cable route surveys dominating the market share. Geographically, North America and Europe currently hold substantial market share, owing to a high concentration of marine infrastructure and ongoing investments in offshore energy projects. However, the Asia-Pacific region is emerging as a rapidly growing market, driven by significant infrastructure development and increasing exploration activities. This presents lucrative opportunities for established players and new entrants alike.

  8. a

    Commercial Vehicle Survey Stations / Enquête sur les véhicules utilitaires –...

    • icorridor-mto-on-ca.hub.arcgis.com
    • icorridor-fr-mto-on-ca.hub.arcgis.com
    • +1more
    Updated Nov 5, 2018
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    Authoritative_iCorridor_mto_on_ca (2018). Commercial Vehicle Survey Stations / Enquête sur les véhicules utilitaires – Stations d’enquête [Dataset]. https://icorridor-mto-on-ca.hub.arcgis.com/items/526d440e64c14bb09156d5849ba45e4f
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    Dataset updated
    Nov 5, 2018
    Dataset authored and provided by
    Authoritative_iCorridor_mto_on_ca
    Area covered
    Description

    The CVS is a roadside truck survey. Information is collected in collaboration with Road User Safety at 212 strategic locations across the province in 2012.Truck drivers who routinely pass through border crossings, permanent and temporary Truck Inspection sites, and any other location of interest voluntarily participate in this survey under the coordination of Enforcement Officers and our contractors. Examples of CVS stations:• OnRoute• Private Truck Stop• Roadside• Mall parking lot• OtherDCSID String: survey site idDCSNAME String:survey site nameDCSLAT Double: latitude of survey siteDCSLONG Double: longitude of survey siteHIGHWAY String: highwayDIRECTION String: traveling directionDESCRIPTIO String: descriptionLOCATION_T String: survey site location typeL’Enquête sur les véhicules utilitaires est d’une enquête sur les camions. Les données ont été recueillies en 2012, en collaboration avec la Sécurité des usagers de la route, à 212 emplacements stratégiques à travers la province. Des conducteurs de camion traversant régulièrement les postes frontaliers, les postes permanents et temporaires d’inspection des camions et tout autre lieu d’intérêt ont participé volontairement à cette enquête sous la coordination d’agents d’exécution des règlements et d’agents contractuels. Exemples de stations d’enquête :• Aires de service ONroute• Relais routiers privés• Postes d’inspection routiers• Stationnements de centres commerciaux• AutresDCSID, identifiant de la station d’enquêteDCSNAME, nom de la station d’enquêteDCSLAT, latitude de la station d’enquêteDCSLONG, longitude de la station d’enquêteHIGHWAY, autorouteDIRECTION, sens de déplacementDESCRIPTIO, descriptionLOCATION_T, type d’emplacement de la station d’enquête

  9. d

    Web Scraping Data | Key Customers Domain Name Data | Scanning Logos found on...

    • datarade.ai
    .json
    Updated Jun 27, 2024
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    PredictLeads (2024). Web Scraping Data | Key Customers Domain Name Data | Scanning Logos found on Websites | 248M+ Records [Dataset]. https://datarade.ai/data-products/predictleads-web-scraping-data-domain-name-data-business-predictleads
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset authored and provided by
    PredictLeads
    Area covered
    Burkina Faso, Oman, Colombia, Turkmenistan, Northern Mariana Islands, Malaysia, Nigeria, Svalbard and Jan Mayen, Benin, Curaçao
    Description

    PredictLeads Key Customers Data provides essential business intelligence by analyzing company relationships, uncovering vendor partnerships, client connections, and strategic affiliations through advanced web scraping and logo recognition. This dataset captures business interactions directly from company websites, offering valuable insights into market positioning, competitive landscapes, and growth opportunities.

    Use Cases:

    ✅ Account Profiling – Gain a 360-degree customer view by mapping company relationships and partnerships. ✅ Competitive Intelligence – Track vendor-client connections and business affiliations to identify key industry players. ✅ B2B Lead Targeting – Prioritize leads based on their business relationships, improving sales and marketing efficiency. ✅ CRM Data Enrichment – Enhance company records with detailed key customer data, ensuring data accuracy. ✅ Market Research – Identify emerging trends and industry networks to optimize strategic planning.

    Key API Attributes:

    • id (string, UUID) – Unique identifier for the company connection.
    • category (string) – Type of relationship (e.g., vendor, client, partner).
    • source_category (string) – Where the connection was detected (e.g., partner page, case study).
    • source_url (string, URL) – Website where the relationship was found.
    • individual_source_url (string, URL) – Specific page confirming the connection.
    • context (string) – Extracted description of the business relationship (e.g., "Company X - partners with Company Y to enhance payment processing").
    • first_seen_at (ISO 8601 date-time) – Date the connection was first detected.
    • last_seen_at (ISO 8601 date-time) – Most recent confirmation of the relationship.
    • company1 & company2 (objects) – Details of the two connected companies, including:
    • - domain (string) – Company website domain.
    • - company_name (string) – Official company name.
    • - ticker (string, nullable) – Stock ticker, if available.

    📌 PredictLeads Key Customers Data is an indispensable tool for B2B sales, marketing, and market intelligence teams, providing actionable relationship insights to drive targeted outreach, competitor tracking, and strategic decision-making.

    PredictLeads Docs: https://docs.predictleads.com/v3/guide/connections_dataset

  10. Commercial Side Scan Sonar Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Commercial Side Scan Sonar Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/commercial-side-scan-sonar-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Commercial Side Scan Sonar Market Outlook



    The global commercial side scan sonar market size was valued at approximately USD 400 million in 2023 and is projected to reach USD 650 million by 2032, growing at a compound annual growth rate (CAGR) of 5.5% during the forecast period. The market is witnessing robust growth driven by the increasing demand in marine exploration and defense sectors. With the constant evolution of sonar technology and rising interest in subsea exploration, the market is poised for significant expansion. The growth is further accentuated by advancements in sonar technology that enhance resolution and imaging capabilities, thereby broadening the scope of applications in various industries.



    A primary growth factor in the commercial side scan sonar market is the increasing exploration activities in oil and gas sectors. As traditional onshore oil and gas reserves deplete, companies are venturing into offshore locations, necessitating advanced marine technologies for exploration, such as side scan sonar. These devices are critical for mapping the seabed and identifying potential drilling sites, thereby facilitating resource extraction. Furthermore, the ability to produce high-resolution images of the ocean floor makes side scan sonars indispensable for identifying and monitoring sub-sea structures, adding to their demand in the oil and gas industry. The rising focus on sustainable extraction and environmental monitoring also drives the adoption of these systems, as operators strive to mitigate the ecological impact of offshore activities.



    The defense sector represents another key driver for the commercial side scan sonar market. Governments worldwide are increasing their investments in maritime defense capabilities, which include the adoption of advanced sonar systems for surveillance and reconnaissance. Side scan sonar is crucial for detecting underwater threats, including mines and submarines, thereby enhancing maritime security. The geopolitical instability in several regions and the consequent need for heightened maritime vigilance are pushing defense agencies to acquire state-of-the-art sonar technologies. The ongoing modernization of naval fleets in numerous countries further propels the demand for cutting-edge sonar systems, which are integral for comprehensive maritime defense strategies.



    Additionally, the market is bolstered by the growing interest in underwater archaeology and research. As technological barriers diminish, academic and research institutions are increasingly employing side scan sonar for underwater exploration and archaeological projects. These devices facilitate the detailed mapping of underwater sites, aiding in the discovery and preservation of historical artifacts and submerged cultural heritage. Moreover, environmental monitoring agencies are leveraging sonar technologies to assess marine ecosystems and the impact of climate change on underwater environments. The expanding scope of scientific research and exploration activities acts as a catalyst for the market, encouraging the adoption of sophisticated sonar systems.



    Regionally, North America holds a significant share of the commercial side scan sonar market, driven by substantial investments in maritime exploration and defense. The presence of key market players and advanced technological infrastructure further supports market growth in the region. Europe follows closely, with extensive applications in environmental monitoring and research initiatives. The Asia Pacific region is anticipated to witness the fastest growth during the forecast period, propelled by burgeoning oil and gas exploration activities and increasing defense expenditures. Countries such as China and India are making significant investments in marine technologies to bolster their offshore capabilities, contributing to the regional market expansion.



    Product Type Analysis



    The commercial side scan sonar market is segmented by product type into single beam and multi-beam sonars. Single beam sonars have traditionally been the cornerstone in basic marine applications due to their simplicity and cost-effectiveness. They emit a single pulse of sound waves and are commonly used for basic seabed mapping and fish finding. Despite their limitations in terms of coverage and detail, the affordability and ease of deployment make single beam sonars a preferred choice for small-scale operations and educational purposes. These systems remain popular in regions with limited financial resources or where the primary goal is to achieve basic underwater reconnaissance without advanced technical requirements.



    On the othe

  11. d

    Socio-economic Survey of Commercial Fishing Vessel Owners in the Northeast

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Oct 19, 2024
    + more versions
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    (Point of Contact, Custodian) (2024). Socio-economic Survey of Commercial Fishing Vessel Owners in the Northeast [Dataset]. https://catalog.data.gov/dataset/socio-economic-survey-of-commercial-fishing-vessel-owners-in-the-northeast1
    Explore at:
    Dataset updated
    Oct 19, 2024
    Dataset provided by
    (Point of Contact, Custodian)
    Description

    The Northeast Fisheries Science Center's Social Sciences Branch (SSB) conducted a survey of vessel owners participating in commercial fisheries in the New England and Mid-Atlantic regions. The survey was mailed to approximately 1,400 vessel owners holding federal fishing permits in New England and the Mid-Atlantic on September 13, 2013. As of January 13, 2014, 157 surveys were returned (138 by mail and 19 online).

  12. O

    Commercial District Customer Intercept Survey Responses - Updated

    • data.cambridgema.gov
    application/rdfxml +5
    Updated Feb 28, 2024
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    Cambridge Community Development Dept (2024). Commercial District Customer Intercept Survey Responses - Updated [Dataset]. https://data.cambridgema.gov/Economic-Development/Commercial-District-Customer-Intercept-Survey-Resp/ejhf-g6hj
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    tsv, application/rdfxml, csv, application/rssxml, xml, jsonAvailable download formats
    Dataset updated
    Feb 28, 2024
    Dataset authored and provided by
    Cambridge Community Development Dept
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    The Commercial District Assessment Customer Intercept survey collects data about a commercial district consumer characteristics. Understanding current consumer characteristics improves knowledge of how visitors and residents utilize the district, and how they would like the district to evolve in the future. Data is collected annually in one or more commercial districts by the Community Development Department. In 2017 the survey changed format from the previous customer intercept survey, based on recommendations from the City’s Retail Strategy Report. For past Customer Intercept Data please refer to the “Customer Intercept Survey Results” open data set.

  13. Japan JP: Land Price Survey: Average Land Price: Commercial: Okayama

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan JP: Land Price Survey: Average Land Price: Commercial: Okayama [Dataset]. https://www.ceicdata.com/en/japan/land-price-survey-by-region/jp-land-price-survey-average-land-price-commercial-okayama
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2006 - Jun 1, 2017
    Area covered
    Japan
    Variables measured
    Supply Prices
    Description

    Japan JP: Land Price Survey: Average Land Price: Commercial: Okayama data was reported at 92,200.000 JPY/sq m in 2018. This records an increase from the previous number of 90,100.000 JPY/sq m for 2017. Japan JP: Land Price Survey: Average Land Price: Commercial: Okayama data is updated yearly, averaging 93,100.000 JPY/sq m from Jun 1996 (Median) to 2018, with 23 observations. The data reached an all-time high of 210,200.000 JPY/sq m in 1996 and a record low of 85,700.000 JPY/sq m in 2013. Japan JP: Land Price Survey: Average Land Price: Commercial: Okayama data remains active status in CEIC and is reported by Ministry of Land, Infrastructure, Transport and Tourism. The data is categorized under Global Database’s Japan – Table JP.P004: Land Price: By Region.

  14. r

    Outpatient Lab Results Claims and Encounters

    • redivis.com
    Updated Jan 9, 2022
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    Stanford Center for Population Health Sciences (2022). Outpatient Lab Results Claims and Encounters [Dataset]. https://redivis.com/datasets/96hs-egqe74693
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    Dataset updated
    Jan 9, 2022
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    2018 - 2023
    Description

    The table Outpatient Lab Results Claims and Encounters is part of the dataset MarketScan Commercial Database, available at https://stanford.redivis.com/datasets/96hs-egqe74693. It contains 510255252 rows across 44 variables.

  15. Commercial Victimisation Survey, 2023

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2025
    + more versions
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    Analysis Home Office (2025). Commercial Victimisation Survey, 2023 [Dataset]. http://doi.org/10.5255/ukda-sn-9332-1
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    Dataset updated
    2025
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Analysis Home Office
    Description
    The Commercial Victimisation Survey (CVS) is a survey of the extent of crime and crime related issues experienced by business premises in England and Wales. It provides additional detail on the extent of crime to be used alongside the other main sources of information on crime. These are the Crime Survey for England and Wales (CSEW) (formerly the British Crime Survey), which covers crimes against private individuals and households, and the Police Recorded Crime statistics, which cover crimes reported to the police. In common with the CSEW, the CVS also includes crimes that are not reported to the police. The Police Recorded Crime data tables are available from the GOV.UK website.

    The CVS was previously run as a standalone survey in 1994 and again in 2002. The CVS was then run as an annual publication from 2012 onwards. A break occurred from 2019 to 2021 where CVS underwent a re-design following a consultation, where the coverage of the survey was expanded to cover all commercial business premises. A standalone CVS was run in 2021, covering only the Wholesale and Retail sector, to provide insights on the effects of the COVID-19 pandemic.

    Further information on the CVS, with links to findings by year, can also be found on the GOV.UK Crimes against businesses statistics webpage.


    This data collection is the 2023 iteration of the Commercial Victimisation Survey (CVS), a survey of the extent of crime and crime related issues experienced by business premises in England and Wales. It provides additional detail on the extent of crime, to be used alongside the other main sources of information on crime. These are the Crime Survey for England and Wales (CSEW) (formerly the British Crime Survey), which covers crimes against private individuals and households, and the Police Recorded Crime statistics, which cover crimes reported to the police.

    The CVS was previously run as a standalone survey in 1994 and again in 2002. The CVS was then run as an annual publication from 2012 onwards. A break occurred from 2019 to 2021 where CVS underwent a re-design following a consultation. A standalone CVS was run in 2021, covering only the Wholesale and Retail sector, to provide insights on the effects of the COVID-19 pandemic. From 2022 onwards, the coverage of the survey has included all commercial business premises.

    The 2023 CVS aims to estimate the extent and nature of crime affecting all commercial business premises in England and Wales. The data includes the prevalence and frequency of crime affecting business premises in England and Wales: as well as impacts on premises, crime prevention measures taken up by premises, experiences of the police, and attitudes to the police.

  16. r

    Outpatient Services Claims

    • redivis.com
    Updated Jan 9, 2022
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    Stanford Center for Population Health Sciences (2022). Outpatient Services Claims [Dataset]. https://redivis.com/datasets/96hs-egqe74693
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    Dataset updated
    Jan 9, 2022
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    2007 - 2023
    Description

    Individual outpatient claim records.

    The table Outpatient Services Claims is part of the dataset MarketScan Commercial Database, available at https://stanford.redivis.com/datasets/96hs-egqe74693. It contains 12209223678 rows across 67 variables.

  17. C

    Commercial Side Scan Sonar Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jun 2, 2025
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    Archive Market Research (2025). Commercial Side Scan Sonar Report [Dataset]. https://www.archivemarketresearch.com/reports/commercial-side-scan-sonar-497197
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The commercial side scan sonar market is experiencing robust growth, driven by increasing demand for advanced underwater imaging technologies across various sectors. Applications span from hydrographic surveys and pipeline inspections to search and recovery operations and fisheries management. While precise market sizing data is unavailable, a reasonable estimation based on industry reports and growth trends suggests a 2025 market value of approximately $500 million. Considering a projected Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, the market is anticipated to reach over $900 million by 2033. This growth is fueled by technological advancements leading to higher resolution imagery, improved data processing capabilities, and the development of more compact and user-friendly systems. Furthermore, rising government investments in infrastructure projects and increased awareness of underwater environmental monitoring contribute significantly to market expansion. Key restraints include the high initial investment cost of sophisticated sonar systems and the specialized expertise required for operation and data interpretation. However, ongoing innovation is addressing these challenges through the development of more affordable and accessible technologies, along with the growth of training and support services. The market is segmented by technology type (e.g., single-beam, dual-beam), application (e.g., hydrographic surveys, search and recovery), and geographic region. Major players such as Klein Marine Systems, EdgeTech, Kongsberg Maritime, and others are actively competing through product innovation and strategic partnerships to maintain a strong market position. The future of the commercial side scan sonar market appears promising, with continued growth driven by expanding applications and technological advancements.

  18. a

    Commercial Vehicle Activities

    • icorridor-mto-on-ca.hub.arcgis.com
    Updated Jul 25, 2018
    + more versions
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    Authoritative_iCorridor_mto_on_ca (2018). Commercial Vehicle Activities [Dataset]. https://icorridor-mto-on-ca.hub.arcgis.com/items/a0cc97d7ca8643998033b5ba7183e838
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    Dataset updated
    Jul 25, 2018
    Dataset authored and provided by
    Authoritative_iCorridor_mto_on_ca
    Area covered
    Description

    What is commercial vehicle surveys (CVS)?The CVS is an intercept survey of truck drivers conducted by Ministry of Transportation Ontario. The survey collects comprehensive information about the movement of trucks and commodity on major roads and highways across the province. Information about trip routing, commodity, and vehicle characteristics are sampled from randomly selected trucks on provincial highways, international border crossings, inter-modal ports, and other locations. Method:The CVS is a voluntary survey of truck drivers. Truck drivers are interviewed about their route and the commodities they are carrying.Details about the truck is also collected including axle weights, load distribution, truck configuration and style, and dimensional information as part of the survey. Trucks are randomly selected from highway traffic at more than 200 directional survey sites across the province. The 2012 CVS database contains data from 45,000 interviews conducted between 2010 and 2014.Frequency:

    The earliest major survey was conducted in the 1970’s and was repeated approximately every 5 years. In this story map you can learn more about the following: 2. Where surveys are conducted: Locations of the 2012 Commercial Vehicle Survey data collection sites across Ontario.3. Where goods are moving by truck in Ontario: The average daily value of goods from the 2012 CVS is derived from the commodity data collected by the survey and attached to the road network based on commodity and trip origin and destination and routing information. The data has been adjusted to fill gaps in the CVS coverage.4. The impact of trucks on the highway: The Average daily Equivalent Single Axle Load (ESAL) helps pavement engineers design roads to accommodate the impact of truck traffic. ESAL values have been estimated from the axle weights of the trucks surveys in the 2012 CVS.5. Traffic volumes at data collection sites: Average hourly traffic counts by vehicle class are performed at CVS data collection sites to expand the survey data to represent the total truck traffic passing the survey site. The data represents average 2012 traffic volumes.6. Commodity origins and destinations in OntarioAverage daily trip origins summarized by Census Division for major commodity groups.Average daily trips by destination are summarized by Census Division for major commodity groups.Average Daily Commodity origins by Census Division summarized by total commodity weight in kgs.Average Daily Commodity destination by Census Division summarized by total commodity weight in kgs.​7. Total Origin and Destination Commodity Values by Census Division: Total daily commodity values from and to the census division. 8. How commodities are moving in the province by weight: Total daily commodity weights in kilograms have been derived from the weight of the major commodity carried by surveyed truck.CVS Data Collection Sites (DCS): The 2012 Commercial Vehicle Survey was conducted at 2012 directional data collection sites across the province. Typical locations include truck inspection stations, international border crossings, truck laybys, rest areas, inter-modal facilities, airports and some municipal roads. Trucks that pass the DCS are randomly stopped by MTO Transportation Enforcement Officers for the survey. Participation is voluntary.Project lead: S.Shan, Developers: W. Klumpenhouwer, Z.Niu

  19. d

    City of Tempe 2021 Business Survey Data

    • catalog.data.gov
    • open.tempe.gov
    • +9more
    Updated Jan 17, 2025
    + more versions
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    City of Tempe (2025). City of Tempe 2021 Business Survey Data [Dataset]. https://catalog.data.gov/dataset/city-of-tempe-2021-business-survey-data-6779d
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    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    Area covered
    Tempe
    Description

    ABOUT THE CITY OF TEMPE BUSINESS SURVEY REPORTS DATASETThis data set includes the results from the Tempe Business Survey, conducted every other year, to gather input from businesses on what is highest in importance to businesses and to learn where businesses are the least and most satisfied.PERFORMANCE MEASURESData collected in this survey applies directly to the following Performance Measures for the City of Tempe (as of 2021):5. Financial Stability and Vitality5.01 Quality of Business ServicesThe City of Tempe Business Survey was first conducted in 2017 and will occur every two years.Additional InformationSource: Business SurveyContact (author): Wydale HolmesContact E-Mail (author): wydale_holmes@tempe.govContact (maintainer): Wydale HolmesContact E-Mail (maintainer): wydale_holmes@tempe.govData Source Type: ExcelPreparation Method: The City contracts with a vendor to conduct the survey, analyze the data and prepare for publication.Publish Frequency: Every other yearPublish Method: Manual, .pdf

  20. C

    Commercial Airport Full Body Scanners Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Apr 29, 2025
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    Pro Market Reports (2025). Commercial Airport Full Body Scanners Report [Dataset]. https://www.promarketreports.com/reports/commercial-airport-full-body-scanners-242556
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for commercial airport full-body scanners is experiencing robust growth, driven by increasing security concerns and stringent regulations post-9/11 and subsequent terror threats. The market, valued at $112.7 million in 2025, is projected to expand significantly over the forecast period (2025-2033). While a precise CAGR is not provided, considering the industry's technological advancements and the continuous need for enhanced security measures at airports worldwide, a conservative estimate of a 7% CAGR is reasonable. This growth is fueled by the rising adoption of advanced scanning technologies like millimeter-wave and terahertz scanners, offering improved detection capabilities and reduced passenger inconvenience compared to older technologies. Furthermore, increasing air travel passenger volume globally necessitates a higher deployment of these scanners at airports worldwide. Technological advancements leading to more efficient and passenger-friendly scanners further fuel market growth. Market segmentation plays a crucial role. Optical, laser, and structured light scanners dominate the technology landscape, each offering specific advantages. The procurement and integration segments within application are key growth drivers, indicating the strong demand not only for the scanners themselves but also for the comprehensive solutions surrounding their implementation and maintenance. Regional growth is expected to be diverse, with North America and Europe leading initially due to existing infrastructure and regulatory frameworks, while the Asia-Pacific region is projected to witness the fastest growth rate driven by rapid airport expansion and increasing passenger traffic. However, challenges remain, including high initial investment costs for airports and the ongoing need for skilled personnel to operate and maintain these sophisticated systems. This in-depth report provides a comprehensive analysis of the global commercial airport full body scanners market, projecting a market value exceeding $2.5 billion by 2030. We delve into market dynamics, competitive landscapes, and future growth trajectories, leveraging rigorous research methodologies and incorporating data from leading industry players like American Science & Engineering, Smiths Detection, L-3 Security & Detection Systems, Braun, Rapiscan, and Safran Morpho. This report is a vital resource for stakeholders seeking actionable insights into this crucial security technology sector.

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U.S. Energy Information Administration (2021). Commercial Buildings Energy Consumption Survey [Dataset]. https://catalog.data.gov/dataset/commercial-buildings-energy-consumption-survey
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Commercial Buildings Energy Consumption Survey

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 6, 2021
Dataset provided by
Energy Information Administrationhttp://www.eia.gov/
Description

The Commercial Buildings Energy Consumption Survey (CBECS) is a national sample survey that collects information on the stock of U.S. commercial buildings, their energy-related building characteristics, and their energy consumption and expenditures. Commercial buildings include all buildings in which at least half of the floorspace is used for a purpose that is not residential, industrial, or agricultural, so they include building types that might not traditionally be considered "commercial," such as schools, correctional institutions, and buildings used for religious worship. The CBECS was first conducted in 1979; the eighth, and most recent survey, was conducted in 2003. CBECS is currently conducted on a quadrennial basis.

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