This dataset is comprised of the final assessment rolls submitted to the New York State Department of Taxation and Finance – Office of Real Property Tax Services by 996 local governments. Together, the assessment rolls provide the details of the more than 4.7 million parcels in New York State.

The dataset includes assessment rolls for all cities and towns, except New York City. (For New York City assessment roll data, see NYC Open Data [https://opendata.cityofnewyork.us])

For each property, the dataset includes assessed value, full market value, property size, owners, exemption information, and other fields.

Tip: For a unique identifier for every property in New York State, combine the SWIS code and print key fields.

The FAIR Principles (Findable, Accessible, Interoperable, and Reusable) provide a concise and measurable strategy for optimizing the reuse of scientific data (Wilkinson et al., 2016). In 2020, the U.S. Geological Survey initiated a research study, titled "State of the Data", to evaluate and report on the current FAIRness of USGS data. Project outputs include the USGS FAIR Rubric, which can be used to evaluate a dataset against the FAIR principles, and the results of 392 USGS dataset assessments completed using this rubric. These results will provide a baseline for measuring future improvement in FAIRness of USGS public data. This data release contains the FAIR rubric in .xlsx format, the assessment dataset in .csv format, and the Python code used to create the assessment dataset. Wilkinson, M., Dumontier, M., Aalbersberg, I. et al., 2016, The FAIR Guiding Principles for scientific data management and stewardship: Scientific Data, v. 3, no.1, [article 160018], 9p, https://doi.org/10.1038/sdata.2016.18.

Update Frequency: Annual

Updated for 2022. End of year assessed property values for the City of Milwaukee for the years 1992-present. These values include real estate property and personal property in Milwaukee, Washington, and Waukesha Counties.

One data row per year.

To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.

This dataset represents a data assessment of select researchers across multiple communities of practice at the University of Florida as part of an IRB 201602303 study to investigate the data management practices, storage, and training needs of researchers. The study was conducted from January 3, 2017 - April 30, 2017. One hundred fifty-nine starts, one hundred fifty-six informed consent, and one hundred thirty-three completes for a 83% completion. However, Question 26 which contained PID was deleted from this raw dataset.

The data literacy program put out a survey to assess the current level of data literacy across the BC Public Service. The nine survey questions identified perceived and expressed needs to support data skills development. The survey was posted on an internal government web page of the Digital Platforms and Data Division (OCIO) for two weeks in June 2019. 267 people responded to the survey. This number comprises 20 executive users, 93 data professionals and 154 business users from 24 ministries and associated public agencies. The original nine survey questions (including category definitions) are provided in both PDF and text formats. The anonymous results data is provided in CSV format with 'selected/not selected' for multiple choice questions, and 'NA' indicating no response for text-based questions. Some text-based questions (3) are not included in the CSV to maintain privacy of respondents.

The Resident Assessment Instrument/Minimum Data Set (RAI/MDS) is a comprehensive assessment and care planning process used by the nursing home industry since 1990 as a requirement for nursing home participation in the Medicare and Medicaid programs. The RAI/MDS provides data for monitoring changes in resident status that are consistent and reliable over time. The VA commitment to quality propelled the implementation of the RAI/MDS in its nursing homes now known as VA Community Living Centers (CLC). In addition to providing consistent clinical information, the RAI/MDS can be used as a measure of both quality and resource utilization, thereby serving as a benchmark for quality and cost data within the VA as well as with community based nursing facilities. Workload based on RAI/MDS can be calculated electronically by the interactions of the elements of the MDS data and grouped into 53 categories referred to as Resource Utilization Groups (RUG-IV). Residents are assessed quarterly. The data is grouped for analysis at the Austin Information Technology Center (AITC). Conversion to electronic data entry and transmission to the AITC was completed system-wide by year-end 2000. In 2010, the Centeres for Medicare and Medicaide Services released a significantly upgraded version, MDS 3.0, to begin to be implemented on October 1, 2011 in VHA CLCs. Training is underway currently. The MDS 3.0 will generate a new set of Quality Indicators and Quality Monitors as well the RUGs will increase to 64 RUGs from the current 53 RUG groups.

Tentative 2024 land parcel assessment data for all properties in the City of Detroit from the Office of the Assessor. Tentative values in this dataset will not be locked in until the 2024 March Board of Review concludes, and may change as a result of the appeals process. Records in this data set describe the assessed values, rights, ownership interests, most recent sales data, physical descriptions, and addresses associated with each parcel.For more information on the assessment appeals process, please visit the Office of the Assessor's webpage.

Update Frequency: Annual.

Updated for 2022. End of year assessed values and related data listed by county and class.

To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.

Mood, sleep, and activity survey answers recorded by the Beiwe mobile app. Each participant who provided has two files, one containing daily questions and the other containing momentary questions (up to five times a day at 9am, 12, 3, 6, and 9pm). Daily questions include a morning 9am survey of sleep quality and duration of the previous night, and an evening 9pm survey of the overall mood and energy level of the day. Momentary questions include location, with whom, doing what, and interacting in what way, in addition to mood and energy level questions. Please refer to the EMA questions code book for question text and options.

Source data assessment of statistical capacity (scale 0 - 100) in Argentina was reported at 90 in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Argentina - Source data assessment of statistical capacity (scale 0 - 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

This file includes Report Card assessment data from the 2021-2022 school year. Data is disaggregated by school, district, and the state level and includes counts of students by the following groups: grade level, gender, race/ethnicity, and student programs and special characteristics. Please review the notes below for more information.

Source data assessment of statistical capacity (scale 0 - 100) in Vietnam was reported at 90 in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Vietnam - Source data assessment of statistical capacity (scale 0 - 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

The California Current Integrated Ecosystem Assessment (CCIEA) is a joint project between staff at the NWFSC, SWFSC, NMML, ONMS, and WCRO to provide managers and policy makers with integrated science products in support of ecosystem-based management of marine resources. Key products include: conceptual models; ecosystem indicator suites, status and trend reports, and related analyses; risk assessments; and analyses of management scenarios in ecosystem models. Major clients include the Pacific Fishery Management Council, the West Coast Region, National Marine Sanctuaries along the West Coast, and the West Coast states. Data and model output gathered and generated by the California Current Integrated Ecosystem Assessment team.

The City of Edmonton does not warrant or guarantee the completeness and accuracy of the information presented.

The City of Edmonton does not assume responsibility nor accept any liability arising from any use of the information other than for property assessment interpretation.

This dataset is the assessed value of properties within the City of Edmonton for the current calendar year.

The information is collected for property assessment interpretation purposes only. It is effective from 2025-01-01 to 2025-12-31. See also https://data.edmonton.ca/d/dkk9-cj3x.

Chad TD: Source Data Assessment of Statistical Capacity: Scale 0 - 100 data was reported at 50.000 NA in 2020. This records a decrease from the previous number of 60.000 NA for 2019. Chad TD: Source Data Assessment of Statistical Capacity: Scale 0 - 100 data is updated yearly, averaging 50.000 NA from Dec 2004 (Median) to 2020, with 17 observations. The data reached an all-time high of 80.000 NA in 2013 and a record low of 30.000 NA in 2009. Chad TD: Source Data Assessment of Statistical Capacity: Scale 0 - 100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Governance: Policy and Institutions. The source data indicator reflects whether a country conducts data collection activities in line with internationally recommended periodicity, and whether data from administrative systems are available. The source data score is calculated as the weighted average of 5 underlying indicator scores. The final source data score contributes 1/3 of the overall Statistical Capacity Indicator score.;World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).;Unweighted average;

Source data assessment of statistical capacity (scale 0 - 100) in China was reported at 60 in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Source data assessment of statistical capacity (scale 0 - 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

This file includes Report Card English Learner Assessment data from the 2022-2023 school year. Data is disaggregated by school, district, and the state level and includes counts of students by the following group: grade level.

This dataset supports the study, 'A survey of how biology researchers assess credibility when serving on grant and hiring committees'. This dataset contains 3 files:1) The survey sent to researchers ('Research Assessment Survey Instrument.pdf')2) The anonymised data export of survey results (' Data-Assessment-Survey-Public.xlsx')3) Supplementary figure and tables for the associated manuscript (‘Assessment Survey Preprint_Supplemental Informationv2.xlsx')

This file includes Report Card English Learner Assessment data from the 2023-2024 school year. Data is disaggregated by school, district, and the state level and includes counts of students by the following group: grade level.

The Industrial Assessment Centers (IAC) Database is a collection of all the publicly available data from energy efficiency assessments conducted by IACs at small and medium-sized industrial facilities. The data includes information beginning in 1981 on the type of facility assessed (size, industry, energy usage, etc.) as well as the details of resulting recommendations (type, energy and dollars savings etc.). As of November, 2023, the IAC database contains information on 20,971 assessments and an associated 156,470 recommendations for energy efficiency improvements.