The data is published using the Summary Data Template, Version 1.1 as of 05 March 2015. According to the EITI Standard 5.3.b: "Summary data from each EITI Report should be submitted electronically to the International Secretariat according to the standardised reporting format provided by the International Secretariat" This template should be completed in full and submitted by email by the national secretariat to the International EITI Secretariat following the publication of the report. The data will be used to populate the global EITI data repository, available on the international EITI website. NB: The data available on ResourceData is republished from the EITI API and covers one section of the Summary Data, Part 3 which is comprised of data on government revenues per revenue stream and company. Notes for consideration: Disclaimer: The EITI Secretariat advice that users consult the original reports for detailed information. Where figures are not available in US dollars, the annual average exchange rate is used. Any questions regarding the data collection and Summary Data methodology can be directed to the EITI Secretariat: data@eiti.org or by visiting eiti.org/summary-data Data and Resources

Snake AA summary table for 2018 SOS

The data is published using the Summary Data Template, Version 1.1 as of 05 March 2015.

According to the EITI Standard 5.3.b: "Summary data from each EITI Report should be submitted electronically to the International Secretariat according to the standardised reporting format provided by the International Secretariat" This template should be completed in full and submitted by email by the national secretariat to the International EITI Secretariat following the publication of the report. The data will be used to populate the global EITI data repository, available on the international EITI website.

NB: The data available on ResourceData is republished from the EITI API and covers one section of the Summary Data, Part 3 which is comprised of data on government revenues per revenue stream and company.

Notes for consideration:

Disclaimer: The EITI Secretariat advice that users consult the original reports for detailed information. Where figures are not available in US dollars, the annual average exchange rate is used. Any questions regarding the data collection and Summary Data methodology can be directed to the EITI Secretariat: data@eiti.org or by visiting eiti.org/summary-data

Objectives: In quantitative research, understanding basic parameters of the study population is key for interpretation of the results. As a result, it is typical for the first table ("Table 1") of a research paper to include summary statistics for the study data. Our objectives are 2-fold. First, we seek to provide a simple, reproducible method for providing summary statistics for research papers in the Python programming language. Second, we seek to use the package to improve the quality of summary statistics reported in research papers.

Materials and Methods: The tableone package is developed following good practice guidelines for scientific computing and all code is made available under a permissive MIT License. A testing framework runs on a continuous integration server, helping to maintain code stability. Issues are tracked openly and public contributions are encouraged.

Results: The tableone software package automatically compiles summary statistics into publishable formats such as CSV, HTML, and LaTeX. An executable Jupyter Notebook demonstrates application of the package to a subset of data from the MIMIC-III database. Tests such as Tukey's rule for outlier detection and Hartigan's Dip Test for modality are computed to highlight potential issues in summarizing the data.

Discussion and Conclusion: We present open source software for researchers to facilitate carrying out reproducible studies in Python, an increasingly popular language in scientific research. The toolkit is intended to mature over time with community feedback and input. Development of a common tool for summarizing data may help to promote good practice when used as a supplement to existing guidelines and recommendations. We encourage use of tableone alongside other methods of descriptive statistics and, in particular, visualization to ensure appropriate data handling. We also suggest seeking guidance from a statistician when using tableone for a research study, especially prior to submitting the study for publication.

The data is published using the Summary Data Template, Version 1.1 as of 05 March 2015.

According to the EITI Standard 5.3.b: "Summary data from each EITI Report should be submitted electronically to the International Secretariat according to the standardised reporting format provided by the International Secretariat" This template should be completed in full and submitted by email by the national secretariat to the International EITI Secretariat following the publication of the report. The data will be used to populate the global EITI data repository, available on the international EITI website.

NB: The data available on ResourceData is republished from the EITI API and covers one section of the Summary Data, Part 3 which is comprised of data on government revenues per revenue stream and company.

Notes for consideration:

Disclaimer: The EITI Secretariat advice that users consult the original reports for detailed information. Where figures are not available in US dollars, the annual average exchange rate is used. Any questions regarding the data collection and Summary Data methodology can be directed to the EITI Secretariat: data@eiti.org or by visiting eiti.org/summary-data

The data is published using the Summary Data Template, Version 1.1 as of 05 March 2015.

According to the EITI Standard 5.3.b: "Summary data from each EITI Report should be submitted electronically to the International Secretariat according to the standardised reporting format provided by the International Secretariat" This template should be completed in full and submitted by email by the national secretariat to the International EITI Secretariat following the publication of the report. The data will be used to populate the global EITI data repository, available on the international EITI website.

NB: The data available on ResourceData is republished from the EITI API and covers one section of the Summary Data, Part 3 which is comprised of data on government revenues per revenue stream and company.

Notes for consideration:

Disclaimer: The EITI Secretariat advice that users consult the original reports for detailed information. Where figures are not available in US dollars, the annual average exchange rate is used. Any questions regarding the data collection and Summary Data methodology can be directed to the EITI Secretariat: data@eiti.org or by visiting eiti.org/summary-data

According to the EITI Standard 5.3.b: "Summary data from each EITI Report should be submitted electronically to the International Secretariat according to the standardised reporting format provided by the International Secretariat" This template should be completed in full and submitted by email by the national secretariat to the International EITI Secretariat following the publication of the report. The data will be used to populate the global EITI data repository, available on the international EITI website.

NB: The data available on ResourceData is republished from the EITI API and covers one section of the Summary Data, Part 3 which is comprised of data on government revenues per revenue stream and company.

Notes for consideration:

Disclaimer: The EITI Secretariat advice that users consult the original reports for detailed information. Where figures are not available in US dollars, the annual average exchange rate is used. Any questions regarding the data collection and Summary Data methodology can be directed to the EITI Secretariat: data@eiti.org or by visiting eiti.org/summary-data

Key Table Information.Table Title.Information: Summary Statistics for the U.S., States, and Selected Geographies: 2022.Table ID.ECNBASIC2022.EC2251BASIC.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2024-12-05.Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesRange indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels and selected 7-digit 2022 NAICS-based code levels. For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Data users who create their own estimates us...

Summary Data Table for Land Cover in AG and Rural Residential zones. Data created 3/2018 by Spatial Alternatives for The Ad-Hoc Committee on Auburn's Agriculture and Natural Resource. Data source: 2013 Aerial Imagery. Source 2013 Aerial Imagery.See also Land Cover PDF Maps.

Upper Columbia AA summary table for 2018 SOS

Reweighted estimates of important Labour Force Survey indicators.

Earthworms can stimulate microbial activity and hence greenhouse gas (GHG) emissions from soils. However, the extent of this effect in the presence of plants and soil moisture fluctuations, which are influenced by earthworm burrowing activity, remains uncertain. Here, we report the effects of earthworms (without, anecic, endogeic, both) and plants (with, without) on GHG (CO2, N2O) emissions in a 3-month greenhouse mesocosm experiment simulating a simplified agricultural context. The mesocosms allowed for water drainage at the bottom to account for the earthworm engineering effect on water flow during two drying-wetting cycles. N2O cumulative emissions were 34.6% and 44.8% lower when both earthworm species and only endogeic species were present, respectively, and 19.8% lower in the presence of plants. The presence of the endogeic species alone or in combination with the anecic species slightly reduced CO2 emissions by 5.9% and 11.4%, respectively, and the presence of plants increased emissions by 6%. Earthworms, plants and soil water content interactively affected weekly N2O emissions, an effect controlled by increased soil dryness due to drainage via earthworm burrows and mesocosm evapotranspiration. Soil macroporosity (measured by X-ray tomography) was affected by earthworm species-specific burrowing activity. Both GHG emissions decreased with topsoil macropore volume, presumably due to reduced moisture and microbial activity. N2O emissions decreased with macropore volume in the deepest layer, likely due to the presence of fewer anaerobic microsites. Our results indicate that, under experimental conditions allowing for plant and earthworm engineering effects on soil moisture, earthworms do not increase GHG emissions, and endogeic earthworms may even reduce N2O emissions.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of engineering services (NAICS 54133), annual, for five years of data.

Release Date: 2020-06-09.Release Schedule:.The data in this file come from the 2017 Economic Census data files released on a flow basis starting in September 2019. As such, preliminary U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released. Users should be aware that during the release of this consolidated file, data at more detailed North American Industry Classification System (NAICS) and geographic levels may not add to higher-level totals. However, at the completion of the economic census (once all the component files have been released), the detailed data in this file will add to the totals. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released..Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records: .Number of firms.Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees.Range indicating percent of total sales, value of shipments, or revenue imputed.Range indicating percent of total annual payroll imputed.Range indicating percent of total employees imputed..Geography Coverage:.The data are shown for employer establishments and firms at the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 6-digit, and selected 7-digit 2017 NAICS code levels. For information about NAICS, see Economic Census: Technical Documentation: Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector52/EC1752BASIC.zip..API Information:.Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

This table contains 24 series, with data for years 2006 - 2012 (not all combinations necessarily have data for all years), and was last released on 2015-07-13. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), North American Industry Classification System (NAICS) (6 items: Amusement parks and arcades; Skiing facilities; Golf courses and country clubs; Other amusement and recreation industries ...), Summary statistics (4 items: Operating revenue; Salaries; wages and benefits; Operating profit margin; Operating expenses ...).

Summary of actual application results (by half-year)

Table provides a high-level summary of the adequacy of adult abundance data for the Middle Columbia salmon recovery region.