A dataset of acoustic vector (particle velocity vector and scalar sound pressure) measurements of the sound field around an upscaled model of an ear. Data collected in July 2022 at the Aalto Acoustics Lab in Espoo, Finland.

See the companion paper at AES for information about the contents of the dataset, measurement methodology, and example scripts.

See the companion repository github.com/aaron-geldert/upscaled-ear-model-scripts for example MATLAB scripts using the dataset.

Correspondence should be directed to Aaron Geldert (aarongeldert@gmail.com).

The 2020 Census Demographic and Housing Characteristics Noisy Measurement File is an intermediate output of the 2020 Census Disclosure Avoidance System (DAS) TopDown Algorithm (TDA) (as described in Abowd, J. et al [2022], and implemented in DAS_2020_DHC_Production_Code/das_decennial/programs/engine/primitives.py at main uscensusbureau/DAS_2020_DHC_Production_Code (github.com) The 2020 Census Demographic and Housing Characteristics Noisy Measurement File includes zero-Concentrated Differentially Private (zCDP) (Bun, M. and Steinke, T [2016]) noisy measurements, implemented via the discrete Gaussian mechanism (Cannone C., et al., [2023] ), which added positive or negative integer-valued noise to each of the resulting counts. These are estimated counts of individuals and housing units included in the 2020 Census Edited File (CEF), which includes confidential data collected in the 2020 Census of Population and Housing. The noisy measurements included in this file were subsequently post-processed by the TopDown Algorithm (TDA) to produce the Census Demographic and Housing Characteristics Summary File. In addition to the noisy measurements, constraints based on invariant calculations --- counts computed without noise --- are also included (with the exception of the state-level total populations, which can be sourced separately from data.census.gov). The Noisy Measurement File was produced using the official "production settings," the final set of algorithmic parameters and privacy-loss budget allocations that were used to produce the 2020 Census Redistricting Data (P.L. 94-171) Summary File and the 2020 Census Demographic and Housing Characteristics File. The noisy measurements are produced in an early stage of the TDA. Afterward, these noisy measurements are post-processed to ensure internal and hierarchical consistency within the resulting tables. The Census Bureau has released these noisy measurements to enable data users to evaluate the impact of disclosure avoidance variability on 2020 Census data. The 2020 Census Demographic and Housing Characteristics (DHC) Noisy Measurement File has been cleared for public dissemination by the Census Bureau Disclosure Review Board (CBDRB-FY22-DSEP-004). These data are available for download (i.e. not restricted access). Due to their size, they must be downloaded through the link on this metadata page and not through the standard ICPSR download. The link will take you to the Globus site where these data are housed. A README file is located in the Globus repository. Please refer to that for pertinent information. The Globus holding site requires users to create an account to access these data. Accounts can be created through existing institutional access and by personal access. Please see the Globus "How to get Started" page for more information.

State capacity is a core concept in political science research, and it is widely recognized that state institutions exert considerable influence on outcomes such as economic development, civil conflict, democratic consolidation, and international security. Yet, researchers across these fields of inquiry face common problems involved in conceptualizing and measuring state capacity. In this article, we examine these conceptual issues, identify three core dimensions of state capacity, and develop the expectation that they are mutually supporting and interlinked. We then use Bayesian latent variable analysis to estimate state capacity at the conjunction of indicators related to these dimensions. We find strong interrelationships between the three dimensions and produce a new, general-purpose measure of state capacity with demonstrated validity for use in a wide range of empirical inquiries. It is hoped that this project will provide effective guidance and tools for researchers studying the causes and consequences of state capacity.

The Measurement Infrastructure Gap Analysis in Utah’s Great Salt Lake Basin was a comprehensive inventory and analysis of existing diversion and stream measurement infrastructure along 19 primary river systems, as well as a preliminary investigation of measurement infrastructure gaps around Great Salt Lake proper. The purpose of this “Gap Analysis” was to develop methods to identify and prioritize areas throughout the Great Salt Lake basin where new or updated measurement infrastructure is needed to serve diverse objectives. The following gaps were identified: (1) existing measurement infrastructure quality and completeness gaps, (2) stakeholder identified gaps, and (3) potential spatial gaps in hydrologic understanding. By adapting the prioritization schema originally presented in the Colorado River Metering and Gaging and Gap Analysis to equally weight these three gap types at the HUC12 scale, a flexible framework for prioritizing new or updated measurement infrastructure in areas with large cumulative measurement gaps was developed, and high, medium, and low priority HUC12s were identified.

Results showed that 250 diversion and 28 stream measurement devices along primary systems had at least one quality and/or completeness gap. The most common quality and completeness gaps were insufficient device types, lack of telemetry, and data record interval. Stakeholders suggested 50 instances of new or updated diversion measurement infrastructure, 95 instances of new or updated stream measurement infrastructure, and 39 recommendations for continued funding of existing measurement infrastructure—totaling 185 stakeholder-identified gaps. To provide a spatially consistent approach to identifying potential gaps in hydrologic understanding, geospatial datasets describing features or attributes that can impact local hydrology were used to identify measurement gaps at the HUC12 scale. Among HUC12s that overlapped with the river systems included in this analysis, HUC12s with the greatest number of potential spatial gaps were in the Bear River sub-basin and near reservoirs in the Weber River sub-basin.

Based on the prioritization schema applied to synthesize these three gap types, there were 52 HUC12s along primary systems classified as high priority for measurement improvement. Of the 250 existing diversion and 28 stream measurement devices with at least one quality and/or completeness gap, 217 and 10 devices, respectively, were located within high priority HUC12s. Most stakeholder-identified gaps identified in the Weber and Jordan River sub-basins also fell within high-priority HUCs. Eighteen unique agencies suggested new or updated measurement infrastructure or continued funding of existing measurement infrastructure in high-priority HUC12s, demonstrating some consensus regarding measurement gaps in critical areas. There were 6 high priority HUC12s with no existing measurement infrastructure quality and completeness gaps, and 11 high priority HUC12s with no stakeholder-identified gaps. High priority HUC12s highlighted only due to potential spatial gaps may warrant additional investigation to further understand potential measurement gaps in these HUC12s.

Because the prioritization schema applied equally weighted all three gap types, it likely does not fully represent the diverse missions and priorities of different stakeholder groups. To facilitate an adaptable approach to prioritize measurement gaps within the Great Salt Lake basin, raw data for each of the three gap types are provided to allow varied prioritization schemes to be developed by weighting gap types differently or considering subsets of data. These data provide the basis for stakeholders within the Great Salt Lake basin to collectively prioritize future investments in gaging infrastructure and better manage water throughout the Great Salt Lake basin.

The statistical office shall, within each year, provide statistics on the number of land surveys, building measurements, changes in land categories, and the number of copies of the registration materials for each month (for data across multiple years, please refer to the official website of this office).

The DWR Periodic Groundwater Levels dataset contains seasonal and long-term groundwater level measurements collected by the Department of Water Resources and cooperating agencies in groundwater basins statewide. It also includes data collected through the Sustainable Groundwater Management Act (SGMA) Portal’s Monitoring Network Module (MNM), and the CASGEM (California Statewide Groundwater Elevation Monitoring) Program. Most measurements are taken manually twice per year to capture the peak high and low values in groundwater elevations. However, the dataset also includes measurements recorded more frequently, monthly, weekly, or daily. This resource also included daily measurements from DWR's automated monitoring network of groundwater sites. For DWRs holdings of groundwater level measurements recorded at more frequent intervals (e.g., hourly), please refer to DWR's “Continuous Groundwater Level Measurements” dataset.

For additional information regarding DWR groundwater levels data collection please visit DWR's Groundwater Management website (https://www.water.ca.gov/Programs/Groundwater-Management). The source data can also be accessed directly from two websites. The Water Data Library (http://wdl.water.ca.gov) provides anonymous access to this and other data sets. The CASGEM online system (https://www.casgem.water.ca.gov/OSS) provides authenticated access to only the the periodic groundwater measurements.

This dataset is maintained primarily in the DWR Enterprise Water Management database and contains information specific to the location of groundwater level monitoring wells and groundwater level measurements collected at these wells. The Stations resource identifies well location coordinates and other supplementary items about the well type. Measurements resources includes information about the time/date a measurement was collected, the entity collecting the measurement, a measurement indicating the depth to groundwater, and quality information about the measurement. The Well Perforations resources contains well construction information identifying the well's screened intervals (not available for all wells).

The global market for basic measurement tools is anticipated to expand at a steady CAGR of 3.3% over the forecast period (2025-2033), reaching a valuation of 26380 million by 2033. The increasing demand from industrial, commercial, and home-based applications, along with the growing adoption of digital and automated measurement tools, is driving the market's growth. Key industry drivers include the rise in construction and infrastructure projects, advancements in manufacturing technology, and the increasing adoption of DIY and home improvement activities. The market is segmented based on application (industrial use, commercial use, home use) and type (plastic tape measure, metal tape measure). Key market players include Stanley, DeWalt, Komelon, Starrett, Lufkin, Milwaukee, and Tajima. North America emerged as the dominant regional market in 2025, with Asia Pacific projected to witness the highest growth rate during the forecast period. Rising urbanization, expanding manufacturing sectors, and increasing disposable incomes in the emerging economies of Asia Pacific are contributing to the region's market expansion. The global basic measurement tools market is projected to reach USD 2.5 billion by 2027, exhibiting a CAGR of 5.6% during the forecast period.

Dataset contains all raw data measured with our developed sensor and two other for evaluation.

We collected grapevine shoot growth over a growing season of 2024 (April to June) in a vineyard of the horticultural unit 2 farm of the Ohio State University (40.73866822022149, -81.90273359323078). The measurements were made with a measuring tape.

The Arctic Radiation Measurement in Column Atmosphere-surface System (ARMCAS) was a collaborative research effort between the Cloud and Aerosol Research (CAR) Group, Department of Atmospheric Sciences, University of Washington (led by Professor Peter V. Hobbs) and Drs. Michael King and Si-Chee Tsay of NASA/Goddard. The field portion of ARMCAS was based out of Deadhorse, Alaska, from June 3-15, 1995. Flights of the University of Washington's Convair C-131A research aircraft and NASA's ER-2 aircraft took place over the tundra of the North Slope and over the partially ice-covered Beaufort Sea. Several of these flights were closely coordinated in order to provide simultaneous in situ and remote sensing measurements of arctic clouds.This data set consists of observations made with the CAR instrument and includes values for bidirectional reflectance factor at varying spectral bands.

Market Overview The global Photo Measurement Software market size was valued at USD XX million in 2025 and is projected to grow at a CAGR of XX% from 2025 to 2033. Key market drivers include the increasing demand for precise measurements in industries such as manufacturing, healthcare, and construction. The growing popularity of cloud-based solutions and advances in image processing and artificial intelligence are also contributing to market growth. Key Trends and Challenges One notable trend in the Photo Measurement Software market is the adoption of cloud-based solutions. This offers benefits such as reduced costs, increased flexibility, and scalability. Additionally, the integration of image processing and AI algorithms is enabling more advanced and automated measurement capabilities. However, challenges remain, including the need for specialized expertise and potential data security concerns associated with cloud-based solutions. Regional variations in market dynamics and the impact of industry regulations are also factors to consider. This comprehensive report provides in-depth analysis of the burgeoning Photo Measurement Software market, valued at over USD 250 million globally.

Data repository for solar and meteorological ground measurements from a network of weather stations in West Africa. The data is provided in the framework of the West African Power Pool project: "Solar Development in Sub-Saharan Africa - Solar resource measurement campaign in West Africa”. Funding is provided by World Bank. Measurement Date Range: Korhogo: 2022-03-18 – 2024-03-17 Sérébou: 2022-04-14 – 2024-04-13

This dataset (zipped) contains raw data of several fmcw measurements and Python code for data processing.

Raw data is contained in following directories, as Matlab '*.mat' files: - "TIA": 10,000 measurements, local oscillator disconnected, RX disconnected - "LO": 10,000 measurements, local oscillator connected, RX disconnected - "d1 large": 5,000 measurements, 50% target at distance d1 - "d2 large": 5,000 measurements, 50% target at distance d2 - "d1": 100,000 measurements, 5% target at distance d1 - "d2": 100,000 measurements, 10% target at distance d2

errata.7z replaces "process_data.py" and pre-computed signal processing. Unpack in the same directory after unpacking the main archive.

d2_50p adds another directory "d2_50p" with recorded data of a 50 percent target at distance d2, just before the target was replaced by a 10 percent target to lower the signal strength. process_data.py is updated as well.

To process data, run "python process_data.py" in the root directory. Unpack in the same directory after unpacking errata.7z.

This is the dataset generated in the research work of "A Comparative Measurement Study of Web Tracking on Mobile and Desktop Environments".

The full paper of this work is accepted and to appear in the 20th Privacy Enhancing Technologies Symposium (PETS 2020).

Market Overview: The global length measurement software market is projected to reach USD XXX million by 2033, expanding at a CAGR of XX% from 2025 to 2033. Increasing demand for accurate and efficient length measurement in manufacturing, construction, and other industries is driving market growth. The adoption of automation and digitalization in these industries has led to a shift towards software-based length measurement tools that provide precise and reliable measurements. Additionally, the growing emphasis on quality control and product compliance is further fueling market expansion. Key Trends and Insights: Local and cloud-based software types are gaining popularity due to their flexibility and scalability. The personal application segment is witnessing significant growth as individuals seek precise measurement tools for various applications. Commercial applications in manufacturing, engineering, and construction are also expected to drive market expansion. Key industry players include IC Measure, QUARTZ PCI, Accurate Technology, Digital Metrology, Wachendorff, and GPC, among others. Regions such as North America, Europe, and Asia Pacific are expected to be major contributors to market growth, driven by technological advancements and the increasing adoption of automation in these regions.

This CODMAC level 3 data set contains the key parameters of the Inertial Measurement Package. In particular, it provides information on the gyroscope attitude measurements on a global scale and individual. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.

This dataset is about books. It has 1 row and is filtered where the book is Measurement in nursing and health research. It features 7 columns including author, publication date, language, and book publisher.

POAM3 data are Polar Ozone and Aerosol Measurement III Version 3.0. The Polar Ozone and Aerosol Measurement (POAM) III instrument measures the vertical distribution of atmospheric ozone, water vapor, nitrogen dioxide, and aerosol extinction. The instrument was developed by the Naval Research Laboratory (NRL). POAM III was launched aboard the French SPOT-4 satellite in March 1998 into a Sun synchronous polar orbit.The POAM III instrument was developed by the Naval Research Laboratory (NRL) to measure the vertical distribution of atmospheric ozone, water vapor, nitrogen dioxide, aerosol extinction, and temperature. POAM III measures solar extinction in nine narrow band channels, covering the spectral range from 354 to 1018 nm. Solar extinction by the atmosphere is measured using the solar occultation technique; the sun is observed through the Earth's atmosphere as it rises and sets, as viewed from the satellite.POAM III was launched aboard the French SPOT-4 satellite in March 1998 into a Sun synchronous polar orbit. As seen from the satellite, the Sun rises in the north polar region and sets in the south polar region 14.2 times per day. Sunrise measurements are made in a latitude band from 55-71 degrees north while sunsets occur between 63-88 degrees south.Each data granule contains one month of data for a particular hemisphere, taken at approximately 101 minute intervals. The latitudinal extent of data for the northern hemisphere is 54.68 to 71.01 and -62.55 to -88.11 for the southern hemisphere. The longitude ranges from 0 to 360. The data consists of profiles of ozone, nitrogen dioxide (NO2), and water vapor concentration, and aerosol extinction at 442 nm and 1018 nm.

This dataset contains the measurement points associated with diversions in IDWR's "Water District Diversion Database" application (https://idwr.idaho.gov/water-data/water-measurement/). The information in the “Water District Diversion Database" application is organized by water district, and allows users to generate graphs and reports showing recorded and interpolated daily measurement information. Locations in this Idaho Water District Daily Time Series Locations are typically generated by IDWR personnel, while the measurements associated with those locations are measured and recorded by the Watermasters of the respective districts.

The CAMEX-4 DC-8 Meteorological Measurement System (MMS) was collected by the MMS, which consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. The MMS data was collected during the CAMEX-4 campaign to study physical properties of atmospheric temperature.