100+ datasets found
  1. d

    Aircraft Scanners

    • catalog.data.gov
    • datasets.ai
    • +4more
    Updated Apr 11, 2025
    + more versions
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    DOI/USGS/EROS (2025). Aircraft Scanners [Dataset]. https://catalog.data.gov/dataset/aircraft-scanners
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    DOI/USGS/EROS
    Description

    The National Aeronautics and Space Administration (NASA) Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners, including Daedalus thematic mapper simulator scanners and the thermal infrared multispectral scanner. Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft, operating from the NASA Ames Research Center in Moffett Field, California, and by NASA Learjet aircraft, operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available. In cooperation with the Jet Propulsion Laboratory and Daedalus Enterprises,Inc., NASA developed several multispectral sensors. The data acquired from these sensors supports NASA's Airborne Science and Applications Program and have been identified as precursors to the instruments scheduled to fly on Earth Observing System platforms. THEMATIC MAPPER SIMULATOR The Thematic Mapper Simulator (TMS) sensor is a line scanning device designed for a variety of Earth science applications. Flown aboard NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field of View of 1.25 milliradians with a ground resolution of 81 feet (25 meters) at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per second with 716 pixels per scan line. Swath width is 8.3 nautical miles (15.4 kilometers) at 65,000 feet while the scanner's Field of View is 42.5 degrees. NS-001 MULTISPECTRAL SCANNER The NS-001multispectral scanner is a line scanning device designed to simulate Landsat thematic mapper (TM) sensor performance, including a near infrared/short-wave infrared band used in applications similar to those of the TM sensor (e.g., Earth resources mapping, vegetation/land cover mapping, geologic studies). Flown aboard NASA C-130B aircraft, the NS-001 sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a variable scan rate (10 to 100 scans per second) with 699 pixels per scan line, but the available motor drive supply restricts the maximum stable scan speed to approximately 85 revolutions per second. A scan rate of 100 revolutions per second is possible, but not probable, for short scan lines; therefore, a combination of factors, including aircraft flight requirements and maximum scan speed, prevent scanner operation below 1,500 feet. Swath width is 3.9 nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or field of regard for the sensor is 100 degrees, plus or minus 15 degrees for roll compensation. THERMAL INFRARED MULTISPECTRAL SCANNER The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line scanning device originally designed for geologic applications. Flown aboard NASA C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698 pixels per scan line. Swath width is 2.6 nautical miles (4.8 kilometers) at 10,000 feet while the scanner's Field of View is 76.56 degrees.

  2. Nielsen Retail Scanner

    • redivis.com
    application/jsonl +7
    Updated Mar 31, 2025
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    Social Sciences Computing Committee (SSCC) (2025). Nielsen Retail Scanner [Dataset]. http://doi.org/10.57783/5vzm-ht52
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    sas, parquet, arrow, avro, csv, spss, application/jsonl, stataAvailable download formats
    Dataset updated
    Mar 31, 2025
    Dataset provided by
    Redivis Inc.
    Authors
    Social Sciences Computing Committee (SSCC)
    Time period covered
    Feb 10, 2000 - Aug 23, 2024
    Description

    Abstract

    NielsenIQ Retail Scanner Data

    Methodology

    Through a relationship with NielsenIQ, the Kilts Center at the University of Chicago Booth School of Business provides multiple consumer datasets to academic researchers around the world.

    Columbia has an agreement with the Kilts Center. Authorized faculty, graduate students, and research staff can apply to access this dataset.

    Annual funding of the dataset is shared between the Program for Economic Research and the Libraries.

    Funding for data analysis using the Columbia Data Platform is provided by the Program for Economic Research.

    Usage

    The Retail Scanner Data (also referred to as RMS data) consists of weekly pricing, volume, and store merchandising conditions generated by participating retail store point-of-sale systems in all US markets. Depending on the year, data are included from approximately 30,000-50,000 participating grocery, drug, mass merchandiser, and other stores. Products from all NielsenIQ-tracked categories are included in the data, such as food, non-food grocery items, health and beauty aids, and select general merchandise. Currently, the years 2006-2021 are included. We expect to update the data on an annual basis. Updates are expected to be available in the first quarter of each calendar year, and will always lag by 2 years (e.g. 2022 Retail Scanner data is expected to be released in Q1 of 2024).

    There are three major types of files associated with the Retail Scanner Data: Stores, Product Description, and Movement (i.e., weekly sales and pricing). The Stores file contains information about each individual store location. The Product Description file contains information about each UPC. The Movement files contain the price and quantity of goods sold at specific stores on a specific week.

  3. e

    Earnest Analytics Scanner Consumer Packaged Goods (CPG) Data

    • earnestanalytics.com
    Updated Apr 18, 2023
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    Earnest Analytics (2023). Earnest Analytics Scanner Consumer Packaged Goods (CPG) Data [Dataset]. https://www.earnestanalytics.com/datasets/scanner-consumer-packaged-goods-cpg
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    Dataset updated
    Apr 18, 2023
    Dataset authored and provided by
    Earnest Analytics
    Area covered
    US
    Description

    Track share of shelf, predict revenue surprises, and drill down into brand and category level performance by household demography across thousands of brands and hundreds of manufacturers. Scanner Consumer Packaged Goods (CPG) data is sourced from thousands of retail stores and millions of underlying US households across grocery and drugstore chains. Available exclusively to investors.

  4. Nielsen Retail Scanner Data (Public Use Version)

    • archive.ciser.cornell.edu
    Updated Jan 21, 2020
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    A.C. Nielsen Company (2020). Nielsen Retail Scanner Data (Public Use Version) [Dataset]. https://archive.ciser.cornell.edu/studies/2834
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    Dataset updated
    Jan 21, 2020
    Dataset provided by
    NielsenIQhttp://nielseniq.com/
    Nielsen Holdingshttp://nielsen.com/
    Authors
    A.C. Nielsen Company
    Description

    Retail sales of specific packaged goods (coffee, laundry detergent, shampoo) broken out by U.S. region, brand, size, packaging material, UPC, and price.

  5. R

    Road Scanner Data Dataset

    • universe.roboflow.com
    zip
    Updated Dec 7, 2022
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    elm (2022). Road Scanner Data Dataset [Dataset]. https://universe.roboflow.com/elm-mm1qx/road-scanner-data
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    zipAvailable download formats
    Dataset updated
    Dec 7, 2022
    Dataset authored and provided by
    elm
    License

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

    Variables measured
    Potholes Mixedcracks Bounding Boxes
    Description

    Road Scanner Data

    ## Overview
    
    Road Scanner Data is a dataset for object detection tasks - it contains Potholes Mixedcracks annotations for 873 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  6. Nielsen Retail Scanner Dataset

    • archive.ciser.cornell.edu
    Updated Feb 23, 2024
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    A.C. Nielsen Company (2024). Nielsen Retail Scanner Dataset [Dataset]. https://archive.ciser.cornell.edu/studies/2877
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    Dataset updated
    Feb 23, 2024
    Dataset provided by
    NielsenIQhttp://nielseniq.com/
    Nielsen Holdingshttp://nielsen.com/
    Authors
    A.C. Nielsen Company
    Variables measured
    EventOrProcess
    Description

    Retail Scanner Data consist of weekly pricing, volume, and store environment information generated by point-of-sale systems from more than 90 participating retail chains across all US markets.

    Store Demographics: Includes store chain code, channel type, and area location. Retailer names are masked to protect identity.

    Weekly Product Data: For each UPC code, participating stores report units, price, price multiplier, baseline units, baseline price, feature indicator, and display indicator. Products: Weekly product data for 2.6-4.5* million UPCs including food, nonfood grocery items, health and beauty aids, and select general merchandise aggregated into 1,100 product categories store environment variables (i.e., feature and display indicators) from a subset of stores. The 1,100 product categories are categorized into 125 product groups and 10 departments. The structure matches that of the consumer panel data. All private-label goods have a masked UPC to protect the identity of the retailers.

    Product Characteristics: All products include UPC code and description, brand, multipack, and size, as well as NielsenIQ codes for department, product group, and product module. Some products contain additional characteristics (e.g., flavor).

    Geographies: Scanner Data from 35,000-50,000* participating grocery, drug, mass merchandiser, and other stores, covering more than half the total sales volume of US grocery and drug stores and more than 30 percent of all US mass merchandiser sales volume. Data cover the entire United States, divided into 52 major markets, and include the same codes as those used in the consumer panel data.

    Retail Channels: Food, drug, mass merchandise, convenience, and liquor.

  7. P

    PDA Scanners Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Mar 21, 2025
    + more versions
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    Market Report Analytics (2025). PDA Scanners Report [Dataset]. https://www.marketreportanalytics.com/reports/pda-scanners-20169
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The global PDA scanner market, valued at $2.96 billion in 2025, is projected to experience robust growth, driven by the increasing adoption of barcode scanning technology across various sectors. The compound annual growth rate (CAGR) of 6.2% from 2025 to 2033 indicates a significant expansion of this market over the forecast period. Key drivers include the rising need for efficient inventory management, streamlined supply chain operations, and improved data capture capabilities in retail, logistics, manufacturing, and healthcare. The increasing demand for real-time data tracking and improved operational efficiency further fuels market growth. The prevalence of Android and Windows operating systems in PDA scanners reflects the dominant technological landscape, with Android likely holding a larger market share due to its open-source nature and wide device compatibility. Competition among major players like Zebra, Honeywell, and Datalogic is intense, prompting continuous innovation in scanner technology and functionality. Geographical distribution reveals a strong presence in North America and Europe, likely representing mature markets with established infrastructure and high technology adoption rates. However, Asia Pacific is anticipated to witness significant growth, driven by rapid industrialization and expansion of e-commerce in countries like China and India. While the market faces potential restraints such as the high initial investment cost of implementing PDA scanner systems and the emergence of alternative technologies, the overall trend points towards sustained growth, propelled by the enduring need for efficient data collection and management across various industries. The market segmentation by application (Retail & Wholesale, Logistics & Warehousing, Industrial Manufacturing, Healthcare, Others) and by type (Android, Windows, Others) allows for a deeper understanding of the specific needs and trends within each sector, enabling more targeted technological advancements and product development.

  8. D

    Document Scanner Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Document Scanner Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-document-scanner-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    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

    Document Scanner Market Outlook



    The global document scanner market size was valued at approximately USD 3.1 billion in 2023 and is projected to reach around USD 5.6 billion by 2032, growing at an impressive CAGR of 6.5% during the forecast period. This growth is driven by the increasing digital transformation initiatives across various sectors, leading to a surge in demand for efficient document management solutions. Document scanners play a crucial role in digitizing physical documents, making it easier for businesses and individuals to store, access, and share information electronically. The rising adoption of cloud-based services and the need for enhanced data security are significant factors contributing to the market's expansion.



    One of the primary growth factors for the document scanner market is the rapid technological advancements in scanner technology. Innovations such as high-speed scanning, improved image resolution, and optical character recognition (OCR) capabilities are enhancing the functionality and efficiency of document scanners. These advancements are particularly beneficial for industries that require high-volume document processing, such as BFSI, healthcare, and government sectors. Additionally, the integration of artificial intelligence and machine learning technologies in document scanners is further improving their accuracy and efficiency, making them indispensable tools for modern businesses. The growing need for automation in document management processes is another key driver of market growth.



    Another significant growth driver is the increasing emphasis on sustainability and environmental conservation. Many organizations are striving to reduce their carbon footprint by minimizing paper usage and embracing digital solutions. Document scanners facilitate this transition by enabling the digitization of paper documents, thus promoting a paperless environment. This trend is particularly prominent in developed regions where there is a strong focus on sustainable business practices. Furthermore, the COVID-19 pandemic has accelerated the adoption of remote work and digital collaboration tools, further boosting the demand for document scanners as businesses seek to streamline their operations and maintain productivity in a remote work setting.



    The expanding application scope of document scanners across various sectors is also contributing to market growth. In the commercial sector, document scanners are used for managing invoices, contracts, and other critical documents. In the healthcare industry, they play a vital role in digitizing patient records and ensuring secure data storage. Educational institutions are increasingly adopting document scanners to facilitate the digitization of learning materials and administrative documents. The growing relevance of document scanners in these diverse applications underscores their importance in the digital age. Additionally, the increasing integration of scanners with other office equipment, such as printers and multifunction devices, is enhancing their utility and driving market demand.



    Regionally, North America holds a significant share of the document scanner market, driven by the presence of key market players and the high adoption rate of advanced technologies. The Asia Pacific region is expected to witness the fastest growth due to the rapid digitalization efforts in countries like China, India, and Japan. Europe also presents substantial growth opportunities, supported by stringent data privacy regulations and the increasing adoption of digital solutions in various industries. The Middle East and Africa, along with Latin America, are gradually embracing digitalization, which is expected to create new avenues for market expansion in these regions.



    Product Type Analysis



    The document scanner market is segmented by product type into flatbed scanners, sheet-fed scanners, portable scanners, and others. Flatbed scanners are widely popular due to their versatility and ability to scan a variety of document types, including books and bound materials. These scanners are preferred in environments that require high-quality image outputs, such as the photography and art reproduction industries. The advancements in flatbed scanner technology, including improved scan speeds and resolution, are enhancing their appeal across various sectors, thus driving their demand. Additionally, their ability to handle oversized documents without compromising on the quality further adds to their popularity.



    "https://dataintelo.com/report/global-flatbed-scanners-market" target="_blank">Flatbe

  9. c

    Scanner US Point of Sale (POS) Data | USA Data | Consumer Data from 100K+...

    • dataproducts.consumeredge.com
    Updated Aug 28, 2024
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    Consumer Edge (2024). Scanner US Point of Sale (POS) Data | USA Data | Consumer Data from 100K+ Retail Stores, 250 Companies, 200 Symbols & Tickers, 5 Years History [Dataset]. https://dataproducts.consumeredge.com/products/consumer-edge-scanner-us-point-of-sale-consumer-data-usa-da-consumer-edge
    Explore at:
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    Consumer Edge
    Area covered
    United States
    Description

    CE Scanner US provides financial services investors with point-of-sale transaction data. Proprietary M&A attribution and volume equivalency offer rollup views to ticker and brand level with comparative detailed category/subcategory views into retail sales, volumes, distribution, and trends.

  10. R

    Data from: Omr Scanner Dataset

    • universe.roboflow.com
    zip
    Updated May 11, 2025
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    SUST (2025). Omr Scanner Dataset [Dataset]. https://universe.roboflow.com/sust-9qaee/omr-scanner/dataset/3
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 11, 2025
    Dataset authored and provided by
    SUST
    License

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

    Variables measured
    OMR Answers Bounding Boxes
    Description

    OMR Scanner

    ## Overview
    
    OMR Scanner is a dataset for object detection tasks - it contains OMR Answers annotations for 360 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  11. LAUT - Terrestrial and Personal laser scanner data from Austrian forest...

    • zenodo.org
    • data.niaid.nih.gov
    csv, zip
    Updated Nov 30, 2022
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    Christoph Gollob; Christoph Gollob; Tim Ritter; Tim Ritter; Arne Nothdurft; Arne Nothdurft (2022). LAUT - Terrestrial and Personal laser scanner data from Austrian forest Inventory plots [Dataset]. http://doi.org/10.5281/zenodo.3698956
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Nov 30, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Christoph Gollob; Christoph Gollob; Tim Ritter; Tim Ritter; Arne Nothdurft; Arne Nothdurft
    License

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

    Area covered
    Austria
    Description

    In forest inventory, trees are usually measured by handheld instruments; among the most relevant are calipers, inclinometers, ultrasonic devices, and laser range finders. Traditional forest inventory is nowadays redesigned, since modern laser scanner technology became available. Laser scanner generate massive data in the form of 3D point clouds. Novel methodology is currently developed to provide estimates of the tree positions, stem diameters, and tree heights from these 3D point clouds. This dataset was made publicly accessible to test new software routines for the automatic measurement of forest trees using laser scanner data. Benchmark studies with performance tests of different algorithms are welcome. The dataset contains co-registered raw 3D point-cloud data collected on 20 forest inventory sample plots in Austria. The data was collected by two different laser scanning systems: (i) a mobile personal laser scanner (PLS) (ZEB Horizon, GeoSLAM Ltd., Nottingham, UK), and (ii) a static terrestrial laser scanner (TLS) (Focus3D X330, Faro Technologies Inc., Lake Mary, FL, USA). The data also contains digital terrain models (DTM), field measurements as reference data (“ground-truth”), and the output of recent software routines for the automatic tree detection and the automatic stem diameter measurement.

  12. Scanner Import Data India – Buyers & Importers List

    • seair.co.in
    + more versions
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    Seair Exim, Scanner Import Data India – Buyers & Importers List [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  13. Soil Climate Analysis Network (SCAN)

    • catalog.data.gov
    • datadiscoverystudio.org
    • +3more
    Updated May 8, 2025
    + more versions
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    NRCS (2025). Soil Climate Analysis Network (SCAN) [Dataset]. https://catalog.data.gov/dataset/soil-climate-analysis-network-scan
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    Dataset updated
    May 8, 2025
    Dataset provided by
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    Description

    The SCAN data retrieval tools provides an interactive process to identify and retrieve data from individual SCAN sites. The user does not need to know the ID for the site but must know either it's general location or the name of the site

  14. l

    Calibration test data for a robot mounted laser scanner

    • repository.lboro.ac.uk
    zip
    Updated Dec 10, 2018
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    Peter Kinnell; Istvan Biro; Sara Sharifzadeh (2018). Calibration test data for a robot mounted laser scanner [Dataset]. http://doi.org/10.17028/rd.lboro.7365020.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 10, 2018
    Dataset provided by
    Loughborough University
    Authors
    Peter Kinnell; Istvan Biro; Sara Sharifzadeh
    License

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

    Description

    This data set contains line scan data acquired from a micro epsilon laser scanner, under default settings, that is mounted to an industrial robot arm. The robot is a Fanuc LR Mate 200 iC industrial robot arm, driven by a R-30/iA Mate controller. The scanner is a Micro Epsilon 3D profile sensor (sensor model: Epsilon scan control 2900-50). To acquire the data the laser scanner is positioned relative to a flat target plate, and laser scans are collected by using the robot to position the laser scanner at a range of poses relative to the plate. The data set also includes a definition of the pose of the robot tool center point. The data can be used to investigate strategies for robot hand-eye calibration of laser scanners using only data collected from flat target surfaces.

  15. B

    Barcode Data Capture System Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 6, 2025
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    Archive Market Research (2025). Barcode Data Capture System Report [Dataset]. https://www.archivemarketresearch.com/reports/barcode-data-capture-system-365046
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    May 6, 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 global Barcode Data Capture System market is experiencing robust growth, driven by the increasing adoption of automation and digitization across various industries. While the exact market size for 2025 isn't provided, considering the common sizes of similar technology markets and a plausible CAGR of 8% (a reasonable estimate given the consistent demand for efficiency improvements in logistics, manufacturing, and healthcare), we can project a market valuation of approximately $2.5 billion for 2025. This growth is fueled by several key factors, including the rising demand for real-time inventory management, improved supply chain visibility, and the need for efficient data collection in diverse sectors like food and beverage, healthcare, and general manufacturing. The market is segmented by device type (linear number, linear alphanumeric, 2D design) and application, reflecting the diverse needs of different industries. Trends such as the integration of barcode scanners with cloud-based platforms, the rise of mobile barcode scanning, and increasing adoption of advanced imaging technologies are further boosting market expansion. However, factors such as high initial investment costs and the need for specialized technical expertise can restrain market growth to some extent. The forecast period of 2025-2033 is expected to witness continued growth, potentially reaching over $4 billion by 2033, driven by ongoing technological advancements and increasing adoption across emerging markets. The competitive landscape is characterized by a mix of established players and emerging companies offering a range of barcode data capture solutions. Key players are focusing on innovation and strategic partnerships to gain a competitive edge. Companies like Fishbowl, Automation-Plus, Inc., and Diamond Technologies, Inc. are actively contributing to market growth through their product offerings and technological advancements. Regional market distribution will likely see continued dominance from North America and Europe initially, however, the Asia-Pacific region is poised for significant growth due to increasing industrialization and expanding e-commerce sectors. This dynamic market presents opportunities for both established companies and new entrants to capitalize on the growing demand for efficient and reliable barcode data capture systems.

  16. f

    List of observers who collected data, their experience, and the order in...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Brian M. Shearer; Siobhán B. Cooke; Lauren B. Halenar; Samantha L. Reber; Jeannette E. Plummer; Eric Delson; Melissa Tallman (2023). List of observers who collected data, their experience, and the order in which they landmarked the scan replicates (scanner abbreviations from Table 1). [Dataset]. http://doi.org/10.1371/journal.pone.0187452.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Brian M. Shearer; Siobhán B. Cooke; Lauren B. Halenar; Samantha L. Reber; Jeannette E. Plummer; Eric Delson; Melissa Tallman
    License

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

    Description

    Each observer is designated by both a number (e.g., R1, R2, R3) and an experience abbreviation: LX = low experience, MX = medium experience, HX = High experience, T = Trainer. Experience designations were assigned based on overall osteological knowledge and familiarity with 3D GM methods and practice.

  17. Terrestrial laser scanning data Wytham Woods: leaf-off raw data 2015/16

    • catalogue.ceda.ac.uk
    • data-search.nerc.ac.uk
    Updated May 25, 2025
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    Kim Calders; Hans Verbeeck; Andrew Burt; Niall Origo; Joanne Nightingale; Yadvinder Malhi; Phil Wilkes; Pasi Raumonen; Robert Bunce; Mathias Disney (2025). Terrestrial laser scanning data Wytham Woods: leaf-off raw data 2015/16 [Dataset]. https://catalogue.ceda.ac.uk/uuid/ed9156e1697343e4ad82e83ed550e345
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    Dataset updated
    May 25, 2025
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Kim Calders; Hans Verbeeck; Andrew Burt; Niall Origo; Joanne Nightingale; Yadvinder Malhi; Phil Wilkes; Pasi Raumonen; Robert Bunce; Mathias Disney
    License

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

    Time period covered
    Nov 26, 2015 - Jan 18, 2016
    Area covered
    Description

    This dataset is comprised of terrestrial laser scanning (TLS) data collected at the Wytham Woods, Oxfordshire during the winter period of 2015/16 when leaves were off the deciduous trees. The data underpins the study into laser scanning potential underestimation of biomass carbon in a temperate forest.

    TLS data were collected on a 20 m x 20 m grid where at each position the scanner captured data in an upright and tilted position. The scanner was set to an angular step of 0.04 degrees. In between each scan position, a set of retro-reflective targets were positioned to be used as tie-points between scans. Scan data were coregistered using the RiSCAN Pro software package, the 4x4 rotation transformation matrices to transform the point cloud data into a common reference coordinate system can be found in the "matrix" directory

  18. A low-cost contactless overhead micrometer surface scanner (input data)

    • data.europa.eu
    unknown
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    Zenodo, A low-cost contactless overhead micrometer surface scanner (input data) [Dataset]. https://data.europa.eu/data/datasets/oai-zenodo-org-5012566?locale=sk
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    unknown(1390817801)Available download formats
    Dataset authored and provided by
    Zenodohttp://zenodo.org/
    License

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

    Description

    This is an open dataset and also the input data to create the supplementary material for the paper "A low-cost contactless overhead micrometer surface scanner (supplementary material)", in the Applied Sciences journal, by the same authors. The design and implementation of a contactless scanner and its software are proposed. The scanner regards the photographic digitisation of planar and approximately planar surfaces and is proposed as a cost-efficient alternative to off-the-shelf solutions. The result is 19.8 Kppi, micrometer scans, in the service of several applications. Accurate surface mosaics are obtained based on a novel image acquisition and image registration approach that actively seeks registration cues by acquiring auxiliary images and fusing proprioceptive data in the correspondence and registration tasks. The device and operating software are explained, provided as an open prototype, and evaluated qualitatively and quantitatively.

  19. Global import data of Baggage Scanner

    • volza.com
    csv
    Updated Jun 24, 2025
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    Volza FZ LLC (2025). Global import data of Baggage Scanner [Dataset]. https://www.volza.com/p/baggage-scanner/import/
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    csvAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    4157 Global import shipment records of Baggage Scanner with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  20. Barcode Scanner Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
    Updated May 21, 2025
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    Technavio (2025). Barcode Scanner Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, and UK), APAC (China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/barcode-scanner-market-industry-analysis
    Explore at:
    Dataset updated
    May 21, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    Barcode Scanner Market Size 2025-2029

    The barcode scanner market size is forecast to increase by USD 4.92 billion at a CAGR of 9% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing adoption of wearable barcode scanners in the manufacturing industry and the rising use of two-dimensional (2D) barcodes. These advancements offer enhanced data capture capabilities and improved efficiency, making them increasingly popular in various sectors. However, regulatory hurdles and supply chain inconsistencies temper the market's growth potential. Regulatory compliance, particularly in healthcare and pharmaceuticals, can pose challenges due to stringent regulations governing data security and privacy. Inconsistencies in the supply chain can lead to delays and inefficiencies, which may discourage some businesses from adopting barcode scanning technology. Another trend is the use of smart wearable devices with capabilities of barcode scanner capabilities, enabling hands-free scanning and increasing productivity.
    Despite these challenges, the market's future looks promising as businesses continue to seek ways to streamline operations and enhance data accuracy. Companies can capitalize on this trend by focusing on regulatory compliance and supply chain optimization, ensuring a smooth adoption process and maximizing the potential benefits of barcode scanning technology. The market is expected to continue growing as industries embrace digitalization and automation.
    

    What will be the Size of the Barcode Scanner Market during the forecast period?

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    The market exhibits dynamic activity, with various components and services gaining traction. Scanner warranties ensure business continuity, safeguarding investments. Scanner mounts optimize ergonomics and efficiency in diverse workplaces. Training equips users with essential skills, enhancing productivity. Integration services seamlessly connect scanners with enterprise systems. Calibration maintains scanner accuracy, crucial for error-free data capture. Barcode scanning forums foster knowledge sharing and best practices. The industrial barcode scanning market is witnessing significant growth due to the increasing automation in various industries, including e-commerce retail outlets, courier services, and e-retailers.
    Stands protect scanners from damage and improve accessibility. Customization caters to unique business requirements. Software updates introduce new features and enhance performance. Consulting offers expert guidance on scanner selection and implementation. Support addresses queries and troubleshoots issues promptly. Accessories expand scanner functionality, while maintenance ensures optimal performance. Barcode labels, a prerequisite for scanning, undergo continuous innovation. The smart warehousing sector is a major contributor to the market's growth potential due to the large-scale handling of goods and the need for accurate tracking and supply chain management.
    

    How is this Barcode Scanner Industry segmented?

    The barcode scanner industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Rugged barcode scanner
      Non-rugged barcode scanner
    
    
    Product
    
      Mobile computers
      Handheld barcode scanner
      Self-checkout barcode scanner
      POS retail barcode scanner
    
    
    Connectivity
    
      Wired barcode scanners
      Wireless barcode scanners
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Type Insights

    The rugged barcode scanner segment is estimated to witness significant growth during the forecast period. The barcode scanning market is witnessing significant growth due to the increasing adoption of advanced technologies such as OCR technology, decoding algorithms, and image processing in barcode scanning devices. These technologies enable the scanning of various barcode symbologies, including 1D and 2D barcodes, QR codes, and Data Matrix, as well as RFID tags. The integration of GS1 standards and API integration further enhances the functionality of barcode scanners, allowing for real-time data capture and analysis. The mobile workforce is a key driver of the market, with mobile barcode scanners gaining popularity due to their convenience and flexibility. These scanners offer Bluetooth connectivity, Wi-Fi connectivity, and USB connectivity, enabling seamless data transfer and integration with business software and systems. Barcode scanners are indispensable tools in various industries, including manufacturing, logistics, healthcare, retail, and warehousing.

    Mobile app scanning and cloud-b

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DOI/USGS/EROS (2025). Aircraft Scanners [Dataset]. https://catalog.data.gov/dataset/aircraft-scanners

Aircraft Scanners

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Dataset updated
Apr 11, 2025
Dataset provided by
DOI/USGS/EROS
Description

The National Aeronautics and Space Administration (NASA) Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners, including Daedalus thematic mapper simulator scanners and the thermal infrared multispectral scanner. Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft, operating from the NASA Ames Research Center in Moffett Field, California, and by NASA Learjet aircraft, operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available. In cooperation with the Jet Propulsion Laboratory and Daedalus Enterprises,Inc., NASA developed several multispectral sensors. The data acquired from these sensors supports NASA's Airborne Science and Applications Program and have been identified as precursors to the instruments scheduled to fly on Earth Observing System platforms. THEMATIC MAPPER SIMULATOR The Thematic Mapper Simulator (TMS) sensor is a line scanning device designed for a variety of Earth science applications. Flown aboard NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field of View of 1.25 milliradians with a ground resolution of 81 feet (25 meters) at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per second with 716 pixels per scan line. Swath width is 8.3 nautical miles (15.4 kilometers) at 65,000 feet while the scanner's Field of View is 42.5 degrees. NS-001 MULTISPECTRAL SCANNER The NS-001multispectral scanner is a line scanning device designed to simulate Landsat thematic mapper (TM) sensor performance, including a near infrared/short-wave infrared band used in applications similar to those of the TM sensor (e.g., Earth resources mapping, vegetation/land cover mapping, geologic studies). Flown aboard NASA C-130B aircraft, the NS-001 sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a variable scan rate (10 to 100 scans per second) with 699 pixels per scan line, but the available motor drive supply restricts the maximum stable scan speed to approximately 85 revolutions per second. A scan rate of 100 revolutions per second is possible, but not probable, for short scan lines; therefore, a combination of factors, including aircraft flight requirements and maximum scan speed, prevent scanner operation below 1,500 feet. Swath width is 3.9 nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or field of regard for the sensor is 100 degrees, plus or minus 15 degrees for roll compensation. THERMAL INFRARED MULTISPECTRAL SCANNER The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line scanning device originally designed for geologic applications. Flown aboard NASA C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698 pixels per scan line. Swath width is 2.6 nautical miles (4.8 kilometers) at 10,000 feet while the scanner's Field of View is 76.56 degrees.

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