The USDA Agricultural Research Service (ARS) recently established SCINet , which consists of a shared high performance computing resource, Ceres, and the dedicated high-speed Internet2 network used to access Ceres. Current and potential SCINet users are using and generating very large datasets so SCINet needs to be provisioned with adequate data storage for their active computing. It is not designed to hold data beyond active research phases. At the same time, the National Agricultural Library has been developing the Ag Data Commons, a research data catalog and repository designed for public data release and professional data curation. Ag Data Commons needs to anticipate the size and nature of data it will be tasked with handling. The ARS Web-enabled Databases Working Group, organized under the SCINet initiative, conducted a study to establish baseline data storage needs and practices, and to make projections that could inform future infrastructure design, purchases, and policies. The SCINet Web-enabled Databases Working Group helped develop the survey which is the basis for an internal report. While the report was for internal use, the survey and resulting data may be generally useful and are being released publicly. From October 24 to November 8, 2016 we administered a 17-question survey (Appendix A) by emailing a Survey Monkey link to all ARS Research Leaders, intending to cover data storage needs of all 1,675 SY (Category 1 and Category 4) scientists. We designed the survey to accommodate either individual researcher responses or group responses. Research Leaders could decide, based on their unit's practices or their management preferences, whether to delegate response to a data management expert in their unit, to all members of their unit, or to themselves collate responses from their unit before reporting in the survey. Larger storage ranges cover vastly different amounts of data so the implications here could be significant depending on whether the true amount is at the lower or higher end of the range. Therefore, we requested more detail from "Big Data users," those 47 respondents who indicated they had more than 10 to 100 TB or over 100 TB total current data (Q5). All other respondents are called "Small Data users." Because not all of these follow-up requests were successful, we used actual follow-up responses to estimate likely responses for those who did not respond. We defined active data as data that would be used within the next six months. All other data would be considered inactive, or archival. To calculate per person storage needs we used the high end of the reported range divided by 1 for an individual response, or by G, the number of individuals in a group response. For Big Data users we used the actual reported values or estimated likely values. Resources in this dataset:Resource Title: Appendix A: ARS data storage survey questions. File Name: Appendix A.pdfResource Description: The full list of questions asked with the possible responses. The survey was not administered using this PDF but the PDF was generated directly from the administered survey using the Print option under Design Survey. Asterisked questions were required. A list of Research Units and their associated codes was provided in a drop down not shown here. Resource Software Recommended: Adobe Acrobat,url: https://get.adobe.com/reader/ Resource Title: CSV of Responses from ARS Researcher Data Storage Survey. File Name: Machine-readable survey response data.csvResource Description: CSV file includes raw responses from the administered survey, as downloaded unfiltered from Survey Monkey, including incomplete responses. Also includes additional classification and calculations to support analysis. Individual email addresses and IP addresses have been removed. This information is that same data as in the Excel spreadsheet (also provided).Resource Title: Responses from ARS Researcher Data Storage Survey. File Name: Data Storage Survey Data for public release.xlsxResource Description: MS Excel worksheet that Includes raw responses from the administered survey, as downloaded unfiltered from Survey Monkey, including incomplete responses. Also includes additional classification and calculations to support analysis. Individual email addresses and IP addresses have been removed.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel

Excel Summary of the Department's major program activities and statistical profile of California business taxpayers.

Excel Summary of the Department's major program activities and statistical profile of California individual taxpayers

Évolution générale et statistiques détaillées

This dataset was created as part of a data analysis project to build an interactive Excel dashboard for performance monitoring and decision making. The data is either simulated or aggregated from multiple open-source references and does not reflect any specific real-world company or institution.

The goal was to analyze and visualize trends, patterns, and key performance indicators using Microsoft Excel’s advanced features such as Pivot Tables, Slicers, Charts, and Conditional Formatting.

Project Focus: Dashboard creation and performance analysis

Tools Used: Microsoft Excel 2016+

Purpose: Practice data analysis, insights generation, and dashboard design

nspiration: Business intelligence, operational monitoring, and reporting needs across various industries (e.g., healthcare, finance, education)

This dataset is ideal for learners, analysts, or professionals looking to understand how structured Excel files can be used for real time insights and visualization storytelling.

Distribution of doses of a volatile organic compound from inhalation of one consumer product, other near -field sources, far-field sources, and aggregate (total) exposure. In this instance, far-field scenarios account for several orders of magnitude of less of the predicted dose compared to near-field scenarios. This dataset is associated with the following publication: Vallero, D. Air Pollution Monitoring Changes to Accompany the Transition from a Control to a Systems Focus. Sustainability. MDPI AG, Basel, SWITZERLAND, 8(12): 1216, (2016).

Historical Dataset of Excel Center - University Heights is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2016-2023),Total Classroom Teachers Trends Over Years (2016-2023),Student-Teacher Ratio Comparison Over Years (2016-2023),Asian Student Percentage Comparison Over Years (2016-2023),Hispanic Student Percentage Comparison Over Years (2016-2023),Black Student Percentage Comparison Over Years (2016-2023),White Student Percentage Comparison Over Years (2016-2023),Two or More Races Student Percentage Comparison Over Years (2016-2023),Diversity Score Comparison Over Years (2016-2023),Free Lunch Eligibility Comparison Over Years (2016-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2016-2022),Graduation Rate Comparison Over Years (2016-2019)

Title Childhood Obese and Overweight Estimates, NM Counties 2016 - NMCHILDOBESITY2017

Summary County level childhood overweight and obese estimates for 2016 in New Mexico. Most recent data known to be available on childhood obesity

Notes This map shows NM County estimated rates of childhood overweight and obesity. US data is available upon request. Published in May, 2022. Data is most recent known sub-national obesity data set. If you know of another resource or more recent, please reach out. emcrae@chi-phi.org

Source Data set produced from the American Journal of Epidemiology and with authors and contributors out of the University of South Carolina, using data from the National Survey of Children's Health.

Journal Source Zgodic, A., Eberth, J. M., Breneman, C. B., Wende, M. E., Kaczynski, A. T., Liese, A. D., & McLain, A. C. (2021). Estimates of childhood overweight and obesity at the region, state, and county levels: A multilevel small-area estimation approach. American Journal of Epidemiology, 190(12), 2618–2629. https://doi.org/10.1093/aje/kwab176

Journal article uses data from The United States Census Bureau, Associate Director of Demographic Programs, National Survey of Children’s Health 2020 National Survey of Children's Health Frequently Asked Questions. October 2021. Available from: https://www.census.gov/programs-surveys/nsch/data/datasets.html

GIS Data Layer prepared by EMcRae_NMCDC

Feature Service https://nmcdc.maps.arcgis.com/home/item.html?id=80da398a71c14539bfb7810b5d9d5a99

Alias Definition

region Region Nationally

state State (data set is NM only but national data is available upon request)

fips_num County FIPS

county County Name

rate Rate of Obesity

lower_ci Lower Confidence Interval

upper_ci Upper Confidence Interval

fipstxt County FIPS text

Historical Dataset of The Excel Center is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2016-2023),Total Classroom Teachers Trends Over Years (2016-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2016-2023),Asian Student Percentage Comparison Over Years (2021-2022),Hispanic Student Percentage Comparison Over Years (2016-2023),Black Student Percentage Comparison Over Years (2016-2023),White Student Percentage Comparison Over Years (2016-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2016-2023),Reading and Language Arts Proficiency Comparison Over Years (2017-2019),Math Proficiency Comparison Over Years (2017-2019),Overall School Rank Trends Over Years (2017-2019),Graduation Rate Comparison Over Years (2016-2019)

Statistics Canada conducts the Census of Agriculture every five years at the same time as the Census of Population. The most recent Census of Agriculture was on May 10, 2016. The Census of Agriculture collects and disseminates a wide range of data on the agriculture industry, including the number and type of farms, farm operator characteristics, business operating arrangements, land management practices, crop areas, the number of livestock and poultry, farm capital, total operating expenses and receipts, and farm machinery and equipment. Census data provide a comprehensive picture of the agriculture industry across Canada every five years at the national, provincial and territorial levels, as well as at lower levels of geography. The Census of Agriculture is the cornerstone of Canada's Agriculture Statistics Program. Census of Agriculture data are an indispensable public and private sector tool for analysing important changes in the agriculture and food industries; developing, implementing and evaluating agricultural policies and programs such as farm income safety nets and environmental sustainability; and making production, marketing and investment decisions. Statistics Canada uses the data as benchmarks for its regular surveys on crops, livestock and farm finances between census years. This release contains all farm and farm operator data. For current Census of Agriculture data refer to Statistics Canada.

Historical Dataset of Excel Ii Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2016-2023),Distribution of Students By Grade Trends

The National Diabetes Audit (NDA) continues to provide a comprehensive view of Diabetes Care in England and Wales and measures the effectiveness of diabetes healthcare against NICE Clinical Guidelines and NICE Quality Standards, in England and Wales. This national report presents the key findings and recommendations on care processes and treatment target achievement rates from 2015-2016 in all age groups in England and Wales along with information on offers and attendance for structured education places. This year, for the first time information is reported on the number of people with diabetes who also have a learning disability and completion of care processes and treatment target achievement. A separate national report presents the key findings and recommendations; The Learning Disability - Supplementary Information report has also been developed as a power point presentation. As with last year's publication the main report contains information on the national key findings and recommendations and has also been developed as a power point presentation, along with slides highlighting the national findings there is also space to allow the incorporation of locally produced slides using the tables and charts from the interactive spreadsheets. We hope that users will find this beneficial to help disseminate the results of the audit locally. Supplementary data for England and Wales are contained in the excel spreadsheets. There are 6 excel spreadsheets; two spreadsheets contains the tables and charts in the national report and learning disability report along with some supplementary national figures, a further spreadsheet provides all 8 care process completion and all 3 treatment target achievement for CCGs/LHBs by age group. There are also 3 interactive excel spreadsheets which allow users to select the CCG/GP practice (England only), Local Health Board (Wales only) or Secondary Care Service (England only) of choice, information for the chosen site is then displayed in tables and charts. Please note that the interactive excel spreadsheets are large files (approximately 12MB) and may take some time to open. This report was updated on 09/02/17. The following amendments have been made to the report: The CCG/GP spreadsheet was updated as some of the CCGs/general practices were not available in the interactive aspect. We have also added a reference table for practice codes and names. All the data for care processes and treatment targets was correct in the supporting data tables. The spreadsheet report for Wales and LHBs has been amended. A practice wrongly appeared in a LHB, this practice has now been assigned to the correct LHB which has changed the results for LHB 7A2 and 7A3. The specialist service spreadsheet has been updated as the interactive aspect was not working for all hospitals. This does not change the results for specialist services. Both the CCG/GP and LHB spreadsheets have been updated for structured education offered and attendance. This has changed the results for individual CCGs/Practices and LHBs but not the national results. We have updated the methodology documentation for structured education to explain more fully how we have analysed and reported on the structured education data for the 2015-16 audit report. We have also added a link, which can be found below in resources, to our interactive dashboard for the 2015-16 report. This dashboard provides CCGs, LHBs and GPs (England only) with an alternative way to view their data for completion of all 8 care process and achievement of all 3 treatment targets as well their data on registrations by age, sex, deprivation and ethnicity.

The Delta Neighborhood Physical Activity Study was an observational study designed to assess characteristics of neighborhood built environments associated with physical activity. It was an ancillary study to the Delta Healthy Sprouts Project and therefore included towns and neighborhoods in which Delta Healthy Sprouts participants resided. The 12 towns were located in the Lower Mississippi Delta region of Mississippi. Data were collected via electronic surveys between August 2016 and September 2017 using the Rural Active Living Assessment (RALA) tools and the Community Park Audit Tool (CPAT). Scale scores for the RALA Programs and Policies Assessment and the Town-Wide Assessment were computed using the scoring algorithms provided for these tools via SAS software programming. The Street Segment Assessment and CPAT do not have associated scoring algorithms and therefore no scores are provided for them. Because the towns were not randomly selected and the sample size is small, the data may not be generalizable to all rural towns in the Lower Mississippi Delta region of Mississippi. Dataset one contains data collected with the RALA Programs and Policies Assessment (PPA) tool. Dataset two contains data collected with the RALA Town-Wide Assessment (TWA) tool. Dataset three contains data collected with the RALA Street Segment Assessment (SSA) tool. Dataset four contains data collected with the Community Park Audit Tool (CPAT). [Note : title changed 9/4/2020 to reflect study name] Resources in this dataset:Resource Title: Dataset One RALA PPA Data Dictionary. File Name: RALA PPA Data Dictionary.csvResource Description: Data dictionary for dataset one collected using the RALA PPA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Two RALA TWA Data Dictionary. File Name: RALA TWA Data Dictionary.csvResource Description: Data dictionary for dataset two collected using the RALA TWA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Three RALA SSA Data Dictionary. File Name: RALA SSA Data Dictionary.csvResource Description: Data dictionary for dataset three collected using the RALA SSA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Four CPAT Data Dictionary. File Name: CPAT Data Dictionary.csvResource Description: Data dictionary for dataset four collected using the CPAT.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset One RALA PPA. File Name: RALA PPA Data.csvResource Description: Data collected using the RALA PPA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Two RALA TWA. File Name: RALA TWA Data.csvResource Description: Data collected using the RALA TWA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Three RALA SSA. File Name: RALA SSA Data.csvResource Description: Data collected using the RALA SSA tool.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Four CPAT. File Name: CPAT Data.csvResource Description: Data collected using the CPAT.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Data Dictionary. File Name: DataDictionary_RALA_PPA_SSA_TWA_CPAT.csvResource Description: This is a combined data dictionary from each of the 4 dataset files in this set.

The purpose of this project is to generate updated WHO estimates, for 2016, of the global and WHO regional prevalence and incidence of herpes simplex virus (HSV) type 1 and HSV-2 infection. To do this, we undertook a literature review of published HSV-1 and HSV-2 infection prevalence and incidence, to identify data newly-published since the last time the global HSV infection estimates were produced. An Excel spreadsheet of the extracted data from the literature review, and the Appendix to the manuscript for the project, are required by the publisher of the manuscript (Bulletin of the World Health Organization) to be deposited in an online data repository for public access. Complete download (zip, 1.7 MiB)

This dataset tracks the updates made on the dataset "2016 QHP Landscape Individual Market Medical Excel" as a repository for previous versions of the data and metadata.