Quantitative comparison of the protein content of biological samples is a fundamental tool of research. The TMT and iTRAQ isobaric labeling technologies allow the comparison of 2, 4, 6, or 8 samples in one mass spectrometric analysis. Sound statistical models that scale with the most advanced mass spectrometry (MS) instruments are essential for their efficient use. Through the application of robust statistical methods, we developed models that capture variability from individual spectra to biological samples. Classical experimental designs with a distinct sample in each channel as well as the use of replicates in multiple channels are integrated into a single statistical framework. We have prepared complex test samples including controlled ratios ranging from 100:1 to 1:100 to characterize the performance of our method. We demonstrate its application to actual biological data sets originating from three different laboratories and MS platforms. Finally, test data and an R package, named isobar, which can read Mascot, Phenyx, and mzIdentML files, are made available. The isobar package can also be used as an independent software that requires very little or no R programming skills.

Questions, answers, and metadata collected from 19,218 Multifactor General Knowledge Tests. The data was hosted on OpenPsychometrics.org a nonprofit effort to educate the public about psychology and to collect data for psychological research. Their notes on the data collected in the codebook.txt

From Wikipedia:

General knowledge is information that has been accumulated over time through various mediums. It excludes specialized learning that can only be obtained with extensive training and information confined to a single medium. General knowledge is an essential component of crystallized intelligence. It is strongly associated with general intelligence and with openness to experience.

Studies have found that people who are highly knowledgeable in a particular domain tend to be knowledgeable in many. General knowledge is thought to be supported by long-term semantic memory ability. General knowledge also supports schemata for textual understanding.

Software Test Data Management Market Outlook

According to our latest research, the global Software Test Data Management market size reached USD 1.45 billion in 2024, demonstrating robust expansion across multiple verticals. The market is expected to grow at a CAGR of 13.2% from 2025 to 2033, with the forecasted market size projected to reach USD 4.13 billion by 2033. This remarkable growth trajectory is primarily driven by the increasing complexity of enterprise software environments, the surging adoption of DevOps and agile methodologies, and stringent regulatory requirements for data privacy and security in software testing. As organizations worldwide strive for faster, more reliable software releases, the demand for advanced test data management solutions is accelerating, shaping a dynamic and competitive market landscape.

One of the foremost growth factors fueling the software test data management market is the ever-increasing pace of digital transformation initiatives across industries. Enterprises are rapidly modernizing their IT infrastructure, adopting cloud-native applications, and integrating advanced analytics and artificial intelligence into their workflows. These changes have significantly increased the volume, variety, and velocity of data that must be managed and tested before deployment. As a result, organizations are seeking sophisticated test data management tools that can automate data provisioning, masking, and subsetting, ensuring high-quality, compliant, and production-like test environments. The need to maintain data integrity and security throughout the software development lifecycle has never been more critical, further propelling the demand for comprehensive test data management solutions.

Another major driver for the software test data management market is the growing prevalence of DevOps and agile methodologies in software development. Modern development cycles require rapid, continuous testing and deployment, which in turn necessitates the availability of realistic, up-to-date test data. Traditional manual approaches to test data management are no longer sufficient, as they are time-consuming, error-prone, and unable to keep pace with the speed of agile sprints. Automated test data management solutions enable organizations to quickly generate, refresh, and mask test data, reducing bottlenecks and accelerating time-to-market. This capability is particularly valuable for industries such as banking, financial services, healthcare, and telecommunications, where data privacy, compliance, and reliability are paramount.

A further catalyst for market expansion is the tightening regulatory landscape surrounding data privacy and protection. Regulations such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and Health Insurance Portability and Accountability Act (HIPAA) impose strict requirements on how organizations handle, store, and process sensitive data, including in non-production environments. Test data management solutions equipped with advanced data masking, encryption, and anonymization features are increasingly in demand to help organizations comply with these regulations while still enabling effective software testing. As regulatory scrutiny intensifies globally, the adoption of robust test data management platforms is becoming a strategic imperative for businesses seeking to mitigate compliance risks and safeguard customer trust.

From a regional perspective, North America currently leads the global software test data management market, accounting for the largest revenue share in 2024. The region’s dominance is underpinned by the presence of major technology vendors, a mature IT infrastructure, and early adoption of advanced software development practices. Meanwhile, Asia Pacific is emerging as the fastest-growing region, driven by rapid digitalization, expanding IT investments, and a burgeoning startup ecosystem. Europe also demonstrates significant growth potential, fueled by stringent data protection regulations and increasing demand for secure, scalable test data management solutions. As organizations across all regions prioritize software quality, compliance, and innovation, the global market is poised for sustained growth through 2033.

Component Analysis

The software test data management market by component is primarily segmented into Solutions and Services. Solutions encompass a wide array of tools and platfor

The difficulty of predicting returns has recently motivated researchers to start looking for tests that are either more powerful or robust to more features of the data. Unfortunately, the way that these tests work typically involves trading robustness for power or vice versa. The current paper takes this as its starting point to develop a new panel-based approach to predictability that is both robust and powerful. Specifically, while the panel route to increased power is not new, the way in which the cross-section variation is exploited also to achieve robustness with respect to the predictor is. The result is two new tests that enable asymptotically standard normal and chi-squared inference across a wide range of empirically relevant scenarios in which the predictor may be stationary, moderately non-stationary, nearly non-stationary, or indeed unit root non-stationary. The type of cross-section dependence that can be permitted in the predictor is also very general, and can be weak or strong, although we do require that the cross-section dependence in the regression errors is of the strong form. What is more, this generality comes at no cost in terms of complicated test construction. The new tests are therefore very user-friendly.

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General Purpose Test Equipment (Gpte) Market Size 2024-2028

The general purpose test equipment (gpte) market size is valued to increase USD 2.06 billion, at a CAGR of 5.55% from 2023 to 2028. Growing demand from end-user industries will drive the general purpose test equipment (gpte) market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 44% growth during the forecast period.
By Product - Oscilloscope segment was valued at USD 1.66 billion in 2022
By End-user - Communication segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 50.41 million
Market Future Opportunities: USD 2056.00 million
CAGR : 5.55%
APAC: Largest market in 2022

Market Summary

The market encompasses a diverse range of instruments and systems used to measure, analyze, and verify the performance of various electrical and electronic components and systems. Key technologies driving this market include advanced automation, modular designs, and data analytics. Applications span numerous industries, with growing demand from sectors such as telecommunications, automotive, and energy, driven by the increasing complexity of technology and the need for reliable, high-performance testing solutions. According to a recent study, the modular GPTE segment is expected to account for over 50% of the market share, owing to its flexibility and scalability. Despite the long replacement cycle of GPTE, market growth is fueled by the continuous evolution of technologies and the increasing importance of quality control and regulatory compliance. For instance, stringent regulations in the automotive industry, such as the European Union's Automotive Safety Integrity Level (ASIL) standards, necessitate the use of advanced testing equipment to ensure safety and reliability.

What will be the Size of the General Purpose Test Equipment (Gpte) Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the General Purpose Test Equipment (Gpte) Market Segmented and what are the key trends of market segmentation?

The general purpose test equipment (gpte) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ProductOscilloscopeSpectrum analyzerSignal generatorNetwork analyzerMultimeterPower MetersLogic AnalyzersArbitrary Waveform GeneratorsBERT (Bit Error Rate Test)Modular InstrumentsAutomated Test Equipment (ATE)OthersEnd-userCommunicationIndustrialAerospace and defenseElectronics and semiconductorAutomotive & TransportationHealthcareEducation & GovernmentOthersService TypeCalibration ServicesRepair/After-Sales ServicesRental ServicesGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKMiddle East and AfricaEgyptKSAOmanUAEAPACChinaIndiaJapanSouth AmericaArgentinaBrazilRest of World (ROW)

By Product Insights

The oscilloscope segment is estimated to witness significant growth during the forecast period.

Oscilloscopes are essential test equipment in the electronics industry, enabling the analysis and measurement of voltage and current waveforms in various applications. According to recent studies, the market for oscilloscopes exhibits significant growth, with adoption increasing by 18.7% in the past year. Furthermore, industry experts anticipate a continued expansion, with projections indicating a potential 25.3% rise in demand over the next five years. These instruments are indispensable in power analysis, serial data analysis, jitter analysis, data storage device testing, time-domain reflectometry, and other applications. Oscilloscopes offer advanced functionalities, such as time and voltage measurement, bandwidth measurement, differential measurement, and phase and rise time measurement. Moreover, they are utilized for specialized purposes, like analyzing automotive ignition systems. The oscilloscope market encompasses a diverse range of products, including signal generators, thermal cycling equipment, network analyzers, precision resistors, signal integrity testers, electronic loads, digital multimeters, function generators, automated test systems, dc testing equipment, vibration testing systems, frequency counters, oscilloscope probes, shock testing equipment, environmental testing systems, rf testing instruments, calibration equipment, protocol analyzers, modular test systems, temperature chambers, spectrum analyzers, data acquisition systems, ac testing equipment, cloud-based testing solutions, inductance meters, power supplies, load banks, high-voltage testing equipment, capacitance meters, test fixtures, test automation software, software-defined instruments, and logic analyzers. These instruments play a crucial role in vario

The NHTSA Vehicle Crash Test Database contains engineering data measured during various types of research, the New Car Assessment Program (NCAP), and compliance crash tests. Information in this database refers to the performance and response of vehicles and other structures in impacts. This database is not intended to support general consumer safety issues. For general consumer information please see the NHTSA's information on buying a safer car.

This data set includes data from a behavioural experiment. We tested whether the requirement to report confidence while solving a general knowledge test affects metacognitive regulation and improves task performance. The results are published in the European Journal of Psychology of Education.

A new test for time-dependent parameters is proposed. The Trig-test is based on a trigonometric expansion to approximate the unknown functional form of the variation in the parameters concerned. It is shown to have the correct empirical size and excellent power to detect structural breaks and stochastic parameter variation. The appropriate use of the Trig-test is demonstrated by testing for structural breaks in the US inflation rate. The test detects a statistically significant increase in the US inflation rate beginning in the early 1970s and lasting through to the early 1980s.

Source data to the PLOS ONE paper "Sex differences in general knowledge: Meta-analysis and new data on the contribution of school-related moderators among high-school students" by Ulrich S. Tran, Agnes A. Hofer, and Martin Voracek

The General Electronic Test Instruments market is a crucial segment of the broader electronics industry, providing essential tools for measuring, analyzing, and testing electrical signals in various applications, including manufacturing, telecommunications, and research and development. These instruments encompass a

What is it all about? This data set was collected in the wake of a corrupt government's return to power in a state government where the people of the state often claim they are "Enlightened" than any other people in the country. The state name and an election year are omitted intentionally as the political party in ruling is infamous for suppressing voices aganist them.

What data is collected? There a few questions asked to ascertain the quality of the electoral decision made by people. They are:

General Awareness Test Questions • Are you a Graduate? • Have you finished High School? • Do you speak English fluently? • Did you vote? • Do you watch news channels? • Do you read Dailies • Do you use the internet to watch the news? • Do you k0w the local body zone name of your current residence? • Name one of the corruptions of this government • Name one Journalist • Name the minister of KSEB • Can you name all the candidates from your constituency?

Four Age groups were chosen from both genders • 20-30 • 30-40 • 40-50 • 50-60

Three categories of people have participated in the survey • Students • Blue-collar workers • White-collar workers

Acknowledgements

This data wouldn't be here without the help of six students from university in the capital city and of-course me in person. This is to identify the need for proper education for people to participate in society's development with the right choices.

Context

Similar to others who have created HR data sets, we felt that the lack of data out there for HR was limiting. It is very hard for someone to test new systems or learn People Analytics in the HR space. The only dataset most HR practitioners have is their real employee data and there are a lot of reasons why you would not want to use that when experimenting. We hope that by providing this dataset with an evergrowing variation of data points, others can learn and grow their HR data analytics and systems knowledge.

Some example test cases where someone might use this dataset:

HR Technology Testing and Mock-Ups Engagement survey tools HCM tools BI Tools Learning To Code For People Analytics Python/R/SQL HR Tech and People Analytics Educational Courses/Tools

Content

The core data CompanyData.txt has the basic demographic data about a worker. We treat this as the core data that you can join future data sets to.

Please read the Readme.md for additional information about this along with the Changelog for additional updates as they are made.

Acknowledgements

Initial names, addresses, and ages were generated using FakenameGenerator.com. All additional details including Job, compensation, and additional data sets were created by the Koluit team using random generation in Excel.

Inspiration

Our hope is this data is used in the HR or Research space to experiment and learn using HR data. Some examples that we hope this data will be used are listed above.

Contact Us

Have any suggestions for additions to the data? See any issues with our data? Want to use it for your project? Please reach out to us! https://koluit.com/ ryan@koluit.com

Analysis of sight test patient eligibility data. The majority of sight test eligibility data for GOS Activity Statistics publications are collected via a manual collection co-ordinated by the Health and Social Care Information Centre's (HSCIC) Omnibus collections team. This is a 2 per cent sample of sight test data returning numbers of patients receiving NHS Sight Tests, by eligibility criteria. The results in this report are presented as an indication of variability in the Sight Tests sample based data so that users may be better informed as to their suitability for use in further analysis and decision making.

The General-purpose Semiconductor Automatic Test Equipment (ATE) market has emerged as a cornerstone in the semiconductor industry, enabling manufacturers to ensure the reliability and performance of their products through efficient testing processes. ATE is crucial in assessing the functionality of semiconductor de

General-Purpose Semiconductor Automatic Test Equipment (ATE) Market Analysis The global general-purpose semiconductor ATE market is projected to reach USD 5,903 million by 2033, exhibiting a CAGR of 7.2% from 2025 to 2033. The growth is primarily driven by the increasing demand for semiconductor devices in various end-use industries, including automotive, consumer electronics, defense, and IT & telecommunications. Additionally, the trend towards advanced packaging and testing techniques is expected to boost the market's growth. Key market players such as Advantest, Teradyne, Cohu, and Tokyo Seimitsu are investing heavily in developing innovative solutions to meet the evolving needs of semiconductor manufacturers. The market is segmented based on application into automotive, consumer electronics, defense, IT & telecommunications, and others. Automotive and consumer electronics hold significant market shares due to the rising adoption of semiconductor devices in vehicles and gadgets. By type, the market is divided into design verification testers, wafer testers, and packaging and testing machines. Design verification testers account for a large portion of the market as they are crucial for ensuring the functionality and reliability of semiconductor chips. Geographically, North America and the Asia Pacific dominate the market due to the presence of major semiconductor manufacturers in these regions.

The NHTSA Vehicle Crash Test Database contains engineering data measured during various types of research, the New Car Assessment Program (NCAP), and compliance crash tests. Information in this database refers to the performance and response of vehicles and other structures in impacts. This database is not intended to support general consumer safety issues. For general consumer information please see the NHTSA's information on buying a safer car.

Code and Data Supplement for "A Mountain-Induced Moist Baroclinic Wave Test Case for the Dynamical Cores of Atmospheric General Circulation Models"

This directory contains the data and scripts used to create the plots from our publication as well as the source code modifications necessary to run this test case within the CESM and MPAS models.

Generating Plots

The netcdf directory contains the nominal half-degree runs necessary to generate nearly all of the plots from the paper. The one plot which is not reproducible from these data is the volume-integrated Eddy Kinetic Energy in the Spectral Element model. Storing high-resolution 4D wind fields requires a prohibitive amount of space. These data can be provided by the corresponding author, O.K. Hughes (owhughes@umich.edu). However, because this is several hundred GB of data I would strongly recommend generating these high-resolution runs yourself on your local system if you need them. Using 288 Intel Skylake cores (that is, 8 nodes each with two 18C processors) ran on the order of an hour.

In order to generate the plots from the paper, you need only install NCL and then run run.bash. Instructions for installing NCL can be found in the run.bash script.

Source Code Modifications

CESM The src subdirectory contains the files user_nl_cam and ic_baroclinic.F90. Create a case using --compset=FKESSLER and --run-unsupported options when running create_newcase. If your case is located at ${CASE_DIR}, then from within the directory containing this README, run cp user_nl_cam ${CASE_DIR}/user_nl_cam, and then run cp ic_baroclinic.F90 ${CASE_DIR}/SourceMods/src.cam/. Then build and run the model using the usual workflow.

MPAS

The MPAS code was run using a branch of the MPAS model provided by the model developers to the authors. While the source code modifications are provided in the src directory, I would strongly recommend contacting the corresponding author if you wish to run this test case in the MPAS codebase.

Liaoning General Test Institue Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.