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The U.S. Geological Survey (USGS) Oceanographic Time-Series Measurements Database contains oceanographic observations made as part of studies designed to increase understanding of sediment transport processes and associated ocean dynamics. This report describes the instrumentation and platforms used to make the measurements; the methods used to process and apply quality-control criteria and archive the data; and the data storage format. The report also includes instructions on how to access the data from the online database at https://stellwagen.er.usgs.gov/.
The NOAA Regional Surface Data - 1989 (NCDC) Data Set contains hourly surface meteorological data for the FIFE area. Though the measurements presented in this data set were not taken precisely at the FIFE study area, it is hypothesized that they present a representative horizontal cross-section of meteorological variables and sky conditions in and around the site. It is also realized that many of the variables presented in this data set are somewhat subjective and dependent on the skill (and biases) of the observer, such as estimates of cloud amount and height. This data may be used as input data and/or verification data for numerical simulation models.
Register is an electronic database containing information about scientific metrological centers, metrological centers and calibration laboratories authorized for verification of legally regulated measuring instruments in operation (hereinafter - authorized organizations). Entry into the Register is subject to information about authorized organizations. Information is entered into the Register on the basis of the certificate of authorization for verification of measuring equipment, which are in operation and are used in the field of legally regulated metrology, documents submitted by scientific metrological centers, metrological centers and calibration laboratories for obtaining a certificate of authorization, as well as information and documents sent to the Ministry of Economy in the course of their activities as authorized organizations (change of management, etc.).
bahir dar climate data
Reliable optical critical dimension (OCD) metrology in the regime where the inspection wavelength λ is much larger than the critical dimensions (CDs) of the measurand is only possible using a model-based approach. Due to the complexity of the models involved, that often require solving Maxwell's equations, many applications use a library based look-up approach. Here, the best experiment-to-theory fit is found by comparing the measurement data to a library consisting of pre-calculated simulations. One problem with this approach is that it makes the accuracy of the solution dependent on the refinement of the grid. Interpolating between library values requires a uniform grid in most cases, and can also be very time-consuming. We present an approach based on radial basis functions that is fast, accurate and most importantly works on arbitrary grids. The method is implemented in a application based on the programming language R, that additionally allows for Bayesian data analysis, and provides multiple diagnostics.
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Public metrological standards refer to various measurement standards established by the measurement administrative department of the people's government above the county level, which serve as the basis for unifying the measurement values of the region, and have the role of notarization in the implementation of metrology supervision in the society. This data set collects and sorts many metrological technology institutions, including the National Institute of Metrology, China, institutes of metrology in various provinces and cities, and national professional metrology stations.
This dataset includes files from the experiment titled OverhangPartX16 pertaining to a three-dimensional (3D) additive manufacturing (AM) build performed on the Additive Manufacturing Metrology Testbed (AMMT) by Ho Yeung and Brandon Lane on July 3, 2019. Users should refer to the included User Notes file: OverhangX16_In-situData_UserNotes.pdf, which describes unique attributes of this experiment and dataset from previous, similar AMMT datasets. Users should refer to the data description article https://doi.org/10.6028/jres.125.027 for in-depth discussion of the file types and data structure, which are similar for this dataset. The files included in this dataset include the input command files and in-situ process monitoring data. Experiment and measurement metadata may be obtained from the previous dataset: https://doi.org/10.18434/M32233.This data is one of a set of 'AMMT Process Monitoring Datasets', as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project at the National Institute of Standards and Technology (NIST). Ex-situ part characterization data, including X-ray computed tomography measurements, will be provided as they are made available. Readers should refer to the AMMT datasets web page for updates (https://www.nist.gov/el/ammt-temps/datasets).
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Air-broadened H2O measurements at 294 K, total pressure range 250-1000 mbar, and self-broadened measurements at 294 K, 10 and 20 mbar, and analysis were carried out within the ESA-funded project ISOGG (Improved Spectroscopy for satellite measurements Of Greenhouse Gases).
The measurement database is in “H2O_self-_and_air-broadened_measurements_5970-6575cm-1.zip” and the line parameter database in “H2O_self-_and_air-broadening_line_parameters_5970-6575cm-1.zip”. The readme file is “Measurement database and line parameter database for air- and self-broadened H2O in the 5970-6575 cm-1 region - Readme.docx”.
Definitions and units of line parameters are in accordance with the HITRAN database and can be found in the readme file in ESA SEOM-IAS – Spectroscopic parameters database 2.3 µm region (zenodo.org).
The systematic line position uncertainty is 1.7x10-5 cm-1.
3D Metrology Systems Market Size 2025-2029
The 3d metrology systems market size is forecast to increase by USD 5.94 billion, at a CAGR of 8.5% between 2024 and 2029.
The market is driven by the inability of traditional measurement products to analyze complex geometries. Advanced applications in industries such as automotive, aerospace, and healthcare require high-precision measurement and inspection capabilities, which traditional measurement tools cannot provide. The integration of artificial intelligence (AI) is a key trend in the market, enabling automated measurement and analysis of intricate geometries. However, challenges persist in the form of complications associated with system integration and interoperability. As manufacturers integrate multiple systems and data sources, ensuring seamless communication and compatibility becomes crucial. These challenges necessitate collaboration and standardization efforts among industry players to streamline integration processes and promote interoperability. Companies seeking to capitalize on market opportunities must focus on developing user-friendly, AI-integrated solutions that address these challenges and cater to the evolving needs of industries.
What will be the Size of the 3D Metrology Systems Market during the forecast period?
Request Free SampleThe market continues to evolve, driven by the increasing demand for high-resolution imaging and precise measurement solutions across various sectors. Laser scanners and structured light scanners are increasingly being adopted for tooling development, dimensional metrology, and virtual prototyping in industries such as aerospace and medical device manufacturing. These technologies enable non-contact measurement, automated inspection, and reverse engineering, ensuring the digital thread is maintained throughout the product development process. The integration of CAD/CAM systems, data visualization, and software algorithms facilitates process optimization and data analysis, enabling real-time part inspection and data processing. The measurement range of these systems caters to assembly verification, product design, and consumer goods manufacturing, ensuring the highest levels of quality control. Moreover, the adoption of 3D scanning technology in additive manufacturing and surface metrology is revolutionizing the manufacturing landscape, enabling the production of complex geometries and ensuring dimensional accuracy. The ongoing advancements in metrology standards and data acquisition techniques continue to unfold, shaping the market dynamics and driving innovation in the industry.
How is this 3D Metrology Systems Industry segmented?
The 3d metrology systems 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. End-userAutomotiveAerospaceMedicalConstruction and engineeringOthersProductCMMODSVMMTypeHardwareSoftwareServicesGeographyNorth AmericaUSCanadaEuropeFranceGermanyUKAPACAustraliaChinaIndiaJapanSouth KoreaRest of World (ROW)
By End-user Insights
The automotive segment is estimated to witness significant growth during the forecast period.The market is witnessing significant growth due to its increasing application in various industries. In the aerospace industry, high-resolution imaging and 3D scanning technologies are utilized for dimensional metrology and inspection reports, ensuring the precision required for manufacturing aircraft components. The aerospace sector's focus on virtual prototyping and assembly verification also drives the demand for these systems. In the manufacturing sector, tooling development and product design rely on 3D modeling and reverse engineering for creating digital twins and optimizing processes. Automated inspection and non-contact measurement using laser scanners and structured light scanners enable quality control and process optimization. The medical device manufacturing industry benefits from 3D metrology systems for ensuring accuracy in part inspection and data analysis. Metrology standards and software algorithms play a crucial role in maintaining consistency and accuracy in manufacturing processes. Consumer goods manufacturing and additive manufacturing also utilize 3D metrology systems for data acquisition and process optimization. The integration of CAD/CAM systems and data visualization tools further streamlines the manufacturing process. Industrial CT scanning provides valuable insights for process optimization and quality control, particularly in the automotive industry, where precise measurements are essential for reducing deviations and increasing throughput in mass assembly lines. The evolving trends in 3D metrology systems include the integration of digital thread, surface metrology, and automated inspection, which facilitate data processing,
The NOAA Regional Surface Data - 1989 (NCDC) Data Set contains hourly surface meteorological data for the FIFE area. Though the measurements presented in this data set were not taken precisely at the FIFE study area, it is hypothesized that they present a representative horizontal cross-section of meteorological variables and sky conditions in and around the site. It is also realized that many of the variables presented in this data set are somewhat subjective and dependent on the skill (and biases) of the observer, such as estimates of cloud amount and height. This data may be used as input data and/or verification data for numerical simulation models.
This repository contains data generated to support and ECTC 2025 conference manuscript titled "Advanced Metrology Suite for Linking Residual Stress to Fundamental Properties of Thermoset Packaging Materials". It contains differential scanning calorimetry (DSC), rheology, digital image correlation (DIC), vapor uptake, and stress bench data on and example commercially available encapsulant epoxy material. The goal of the study and data is to (a) demonstrate these techniques, and (b) better understand the cure kinetics, liquid-to-solid transition, and residual stresses in for this material system. More complete descriptions of the methods and finding are available in the associated manuscript.The dataset contain about 2.5 GB of data, most of which by size is DIC images in .7z compressed folders. Most data is provided in .csv, .xslx, and .mat files. Resultant figures are included for reference in .png, .tiff or similar formats.
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Roundness measurement dataset
This dataset contains measurement data of roundness reference workpieces. The measurements were performed to test a new developed variable diameter three-point roundness measurement device ROMES by comparing ROMES results to measurement results obtained with a roundness measurement instrument.
Measurement with Talyrond roundness measurement instrument
Raw measurement data of five roundness reference workpieces measured with Taylor Hobson Talyrond TR31c roundess measurement instrument.
Gaussian filter with 15 UPR cutoff according to ISO 12181-2 was applied before calculating the roundness profiles and roundness values.
Converted values in .csv format are the displacement values in micrometers 3600 points per revolution.
Software to convert measurement data from Talyrond .PLN file format is included in folder pydpack/
Description of Talyrond measurement files
Description
File name
Workpiece 1 roundness data, original Talyrond measurement file
talyrond/TK1.PLN
Workpiece 1 roundness data, converted displacement values from Talyrond file
talyrond/TK1.csv
Workpiece 2 roundness data, original Talyrond measurement file
talyrond/TK2.PLN
Workpiece 2 roundness data, converted displacement values from Talyrond file
talyrond/TK2.csv
Workpiece 3 roundness data, original Talyrond measurement file
talyrond/TK3.PLN
Workpiece 3 roundness data, converted displacement values from Talyrond file
talyrond/TK3.csv
Workpiece 4 roundness data, original Talyrond measurement file
talyrond/TK4.PLN
Workpiece 4 roundness data, converted displacement values from Talyrond file
talyrond/TK4.csv
Workpiece 5 roundness data, original Talyrond measurement file
talyrond/TK5.PLN
Workpiece 5 roundness data, converted displacement values from Talyrond file
talyrond/TK5.csv
Three-probe measurement
Workpieces 1 and 2 were measured with a new three-probe roundness measurement instrument mounted in a lathe.
For each measurement, 10 rounds of data with 2500 pulses per revolution were measured.
CSV files contain values for index number, S1, S2, S3 and S4 (not used)
All tactile probe readings (S1 to S3) will need to be multiplied by 1/409.6 to obtain the displacement in micrometers.
Nominal angles of the tactile probes are 0, 49.75 and 88.75 degrees.
Description of three-probe measurement files
Description
File name
Three-point tactile measurement of workpiece 1
multiprobe/TK1_threeprobe_1.csv
Three-point tactile measurement of workpiece 1, second measurement
multiprobe/TK1_threeprobe_2.csv
Three-point tactile measurement of workpiece 1 with tapes attached
multiprobe/TK1_tapes.csv
Three-point tactile measurement of workpiece 2
multiprobe/TK2_threeprobe_1.csv
Three-point tactile measurement of workpiece 2, second measurement
multiprobe/TK2_threeprobe_2.csv
Three-point tactile measurement of workpiece 2 with tapes attached
multiprobe/TK2_tapes.csv
Acknowledgement
This dataset was obtained within the 19ENG07 Met4Wind project. This project has received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.
Project title: Metrology for enhanced reliability and efficiency of wind energy systems Funder name: European Commission Funder ID: 10.13039/100014132 Grant number: 19ENG07 Met4Wind Link to project homepage: https://www.ptb.de/empir2020/met4wind/home/
This data set consists of several files that were created to accompany M.o.R., a shiny app created by the Surface & Nanostructure Metrology Group in the Engineering Physics Division of the Physical Measurement Laboratory (PML) at the National Institute of Standards and Technology. It was created to simplify model-based metrology. A detailed explanation of the proper usage can be found in the M.o.R. documentation.
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Provide the Bureau of Standards, Metrology and Inspection, Ministry of Economic Affairs, legal metrology item data.
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Air-broadened CO2 measurements in the temperature range 200-294 K and a total pressure range 100-1000 mbar and analysis were carried out within the ESA-funded project ISOGG (Improved Spectroscopy for satellite measurements Of Greenhouse Gases). Additionally, a H2O-broadened measurement at 294 K was recorded and analyzed.
The measurement database is in “CO2_air-_and_H2O-broadened_measurements_4750-5175cm-1.zip” and the line parameter database in “CO2_air-_and_H2O-broadening_parameters_4750-5175cm-1_V4.zip”. The CO2/air continuum is given in “CO2_2mu0_RT_foreigncont_polcoeffs_from_scaled_4mu3_N2.txt”. The readme file is “Measurement database and line parameter database for air- and H2O-broadened CO2 in the 4750-5175 cm-1 region including continuum - Readme.docx”.
Definitions and units of line parameters are in accordance with the HITRAN database and can be found in the readme file in ESA SEOM-IAS – Spectroscopic parameters database 2.3 µm region (zenodo.org). Depletions calculated with the polynomials in temperature have the unit atm-1.
Systematic uncertainties which were common for all lines were omitted in the line parameter database and are listed here: Air-broadening parameters 0.03%, speed-dependence of air-broadening 1.5%, air Dicke narrowing 10-20%, air line mixing 0.0001 atm-1, air pressure-induced line shift 3x10-5 cm-1atm-1, temperature exponent of air-broadening parameters 0.0005, temperature dependence of air line mixing 0.1 K-1, temperature dependence of air pressure-induced line shift 5x10-7 cm-1atm-1K-1. In case the speed-dependence was calculated from polynomials of gamma2/gamma0 vs gamma0 the systematic uncertainty is estimated to be 10%.
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Self-broadened CO2 measurements at 294 K and 212 K for pressures up to 1000 mbar and analysis are published in “The pressure dependence of the experimentally-determined line intensity and continuum absorption of pure CO2 in the 1.6 µm region”, JQSRT. The paper is submitted, the reference will be given when available. Zenodo serves as a repository for the measurement database, line parameter database, and continua at 294 K and 212 K, replacing the commonly used supplement in the paper.
The measurement database is in “CO2_measurements_5970-6575cm-1.zip”, the line parameter database in “CO2_line_parameters_5970-6575cm-1_V1.zip”, and the continua in “CO2_self_continua_6110-6460cm-1.zip”. The readme file is “Measurement database and line parameter database for self-broadened CO2 in the 5970-6575 cm-1 region including intensity depletion and continuum - Readme.docx”.
Definitions and units of line parameters are in accordance with the HITRAN database and can be found in the readme file in ESA SEOM-IAS – Spectroscopic parameters database 2.3 µm region (zenodo.org). Depletions have the unit atm-1.
The systematic uncertainty of line positions is 1.7x10-6 cm-1.
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The Luxembourg Institute of Science and Technology (LIST), jointly with the Administration des Services Techniques de l'Agriculture (ASTA) and MeteoLux, publish the seasonal analysis of the meteorological data collected within the framework of long-term monitoring activities of hydroclimatological variables.
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.
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Dimensional metrology plays a crucial role in the aerospace and defense sectors, assuring precision and quality in the manufacturing and assembly of complex components. This branch of metrology employs advanced measurement techniques and instruments to ensure that parts meet stringent specifications, enhancing overa
U.S. Government Workshttps://www.usa.gov/government-works
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The U.S. Geological Survey (USGS) Oceanographic Time-Series Measurements Database contains oceanographic observations made as part of studies designed to increase understanding of sediment transport processes and associated ocean dynamics. This report describes the instrumentation and platforms used to make the measurements; the methods used to process and apply quality-control criteria and archive the data; and the data storage format. The report also includes instructions on how to access the data from the online database at https://stellwagen.er.usgs.gov/.