71 datasets found
  1. f

    Data from: pmartR: Quality Control and Statistics for Mass...

    • acs.figshare.com
    • figshare.com
    xlsx
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kelly G. Stratton; Bobbie-Jo M. Webb-Robertson; Lee Ann McCue; Bryan Stanfill; Daniel Claborne; Iobani Godinez; Thomas Johansen; Allison M. Thompson; Kristin E. Burnum-Johnson; Katrina M. Waters; Lisa M. Bramer (2023). pmartR: Quality Control and Statistics for Mass Spectrometry-Based Biological Data [Dataset]. http://doi.org/10.1021/acs.jproteome.8b00760.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    ACS Publications
    Authors
    Kelly G. Stratton; Bobbie-Jo M. Webb-Robertson; Lee Ann McCue; Bryan Stanfill; Daniel Claborne; Iobani Godinez; Thomas Johansen; Allison M. Thompson; Kristin E. Burnum-Johnson; Katrina M. Waters; Lisa M. Bramer
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Prior to statistical analysis of mass spectrometry (MS) data, quality control (QC) of the identified biomolecule peak intensities is imperative for reducing process-based sources of variation and extreme biological outliers. Without this step, statistical results can be biased. Additionally, liquid chromatography–MS proteomics data present inherent challenges due to large amounts of missing data that require special consideration during statistical analysis. While a number of R packages exist to address these challenges individually, there is no single R package that addresses all of them. We present pmartR, an open-source R package, for QC (filtering and normalization), exploratory data analysis (EDA), visualization, and statistical analysis robust to missing data. Example analysis using proteomics data from a mouse study comparing smoke exposure to control demonstrates the core functionality of the package and highlights the capabilities for handling missing data. In particular, using a combined quantitative and qualitative statistical test, 19 proteins whose statistical significance would have been missed by a quantitative test alone were identified. The pmartR package provides a single software tool for QC, EDA, and statistical comparisons of MS data that is robust to missing data and includes numerous visualization capabilities.

  2. R/V Ron Brown Aerosol Gravimetric analysis of mass as a function of size...

    • data.ucar.edu
    netcdf
    Updated Dec 26, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Patricia Quinn (2024). R/V Ron Brown Aerosol Gravimetric analysis of mass as a function of size (netCDF) [Dataset]. http://doi.org/10.26023/E661-BRFQ-WT0Z
    Explore at:
    netcdfAvailable download formats
    Dataset updated
    Dec 26, 2024
    Dataset provided by
    University Corporation for Atmospheric Research
    Authors
    Patricia Quinn
    Time period covered
    Mar 19, 2001 - Apr 18, 2001
    Area covered
    Description

    This dataset contains aerosol gravimetric analysis of mass, using 2-stage multi-jet cascade impactors, taken aboard the Ron Brown ship during the ACE-Asia field project. This dataset contains netCDF data files. Data can also be downloaded in a tab delimited (.acf) format.

  3. m

    The Hydrogeologic Atlas of Massachusetts: Hydraulic Conductivity (Feature...

    • gis.data.mass.gov
    • hub.arcgis.com
    • +1more
    Updated Apr 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MassGIS - Bureau of Geographic Information (2024). The Hydrogeologic Atlas of Massachusetts: Hydraulic Conductivity (Feature Service) [Dataset]. https://gis.data.mass.gov/datasets/the-hydrogeologic-atlas-of-massachusetts-hydraulic-conductivity-feature-service
    Explore at:
    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    The data in this feature service uses the same polygons as the MassGIS USGS 1:24,000 Surficial Geology data layer and includes minimum, maximum, and average hydraulic conductivity in feet per day for each surficial unit. Hydraulic conductivity values were extracted from U.S. Geological Survey groundwater reports, Massachusetts Department of Environmental Protection Zone II reports, and other Massachusetts-specific journal articles (a total of 165 aquifer tests or aggregates of aquifer tests depending on the available data in each report).The Hydrogeologic Atlas of Massachusetts provides data on the hydraulic properties of the statewide surficial aquifers. The datasets were developed using surficial geology, bedrock altitude, a statewide groundwater flow model, and a compilation of hydraulic property data from U.S. Geological Survey groundwater reports, Massachusetts Department of Environmental Protection Zone II reports, and other Massachusetts-specific journal articles (a total of 23 sources).\One of the goals of this project was to understand current and projected future groundwater flooding risks across the state. To understand groundwater flooding risks, we developed a statewide three-dimensional groundwater flow model to simulate the water table elevation. The Hydrogeologic Atlas of Massachusetts compiles new datasets developed as input into the groundwater model, groundwater model simulation results, and other statewide map products created through this project. For further information regarding the methods of this study see Corkran et al. (2024), a report submitted to the Massachusetts Executive Office of Energy and Environmental Affairs.Suggested Citation:Corkran, D., Kirshen, A., Moran, B.J., Blin, N., King, R., Bresee, M., & Boutt, D. (2024). Massachusetts State-wide Groundwater Model and Flooding Risk Assessment 1.0. Report funded by the Massachusetts Executive Office of Energy and Environmental Affairs and published on the ResilientMass website.See full metadata and the map service.

  4. h

    Sub-leading large-$R$ jet mass distribution in SR-4Q-VV

    • hepdata.net
    Updated Nov 13, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Sub-leading large-$R$ jet mass distribution in SR-4Q-VV [Dataset]. http://doi.org/10.17182/hepdata.104458.v3/t18
    Explore at:
    Dataset updated
    Nov 13, 2023
    Description

    Distribution of $m(J_{2})$ in SR-4Q-VV. The post-fit SM background expectation using the background-only fit is shown in a histogram stack....

  5. Statistical Data Analysis using R

    • figshare.com
    txt
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistical Data Analysis using R [Dataset]. https://figshare.com/articles/dataset/Statistical_Data_Analysis_using_R/5501035
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    figshare
    Authors
    Samuel Barsanelli Costa
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    R Scripts contain statistical data analisys for streamflow and sediment data, including Flow Duration Curves, Double Mass Analysis, Nonlinear Regression Analysis for Suspended Sediment Rating Curves, Stationarity Tests and include several plots.

  6. Development of a Tool to Determine the Variability of Consensus Mass Spectra...

    • catalog.data.gov
    • data.nist.gov
    Updated Jul 29, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Standards and Technology (2022). Development of a Tool to Determine the Variability of Consensus Mass Spectra Supporting Data [Dataset]. https://catalog.data.gov/dataset/development-of-a-tool-to-determine-the-variability-of-consensus-mass-spectra-supporting-da
    Explore at:
    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    Supporting datasets and algorithms (R-based) for the manuscript entitled "Development of a Tool to Determine the Variability of Consensus Mass Spectra", including an R Markdown script to reproduce the manuscript's figures.

  7. m

    The Hydrogeologic Atlas of Massachusetts: Surficial Geology Specific Yield

    • gis.data.mass.gov
    • hub.arcgis.com
    • +1more
    Updated Apr 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MassGIS - Bureau of Geographic Information (2024). The Hydrogeologic Atlas of Massachusetts: Surficial Geology Specific Yield [Dataset]. https://gis.data.mass.gov/items/54d3c139c4e74ff5869d4cf4397d0252
    Explore at:
    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    The data in this map service uses the same polygons as the MassGIS 1:250,000 Surficial Geology data layer (SURFGEO250K_POLY) and includes minimum, maximum, and average specific yield for each surficial unit. Specific yield values were extracted from U.S. Geological Survey groundwater reports and Morris & Johnson (1967) (a total of 60 aquifer tests).The Hydrogeologic Atlas of Massachusetts provides data on the hydraulic properties of the statewide surficial aquifers. The datasets were developed using surficial geology, bedrock altitude, a statewide groundwater flow model, and a compilation of hydraulic property data from U.S. Geological Survey groundwater reports, Massachusetts Department of Environmental Protection Zone II reports, and other Massachusetts-specific journal articles (a total of 23 sources).One of the goals of this project was to understand current and projected future groundwater flooding risks across the state. To understand groundwater flooding risks, we developed a statewide three-dimensional groundwater flow model to simulate the water table elevation. The Hydrogeologic Atlas of Massachusetts compiles new datasets developed as input into the groundwater model, groundwater model simulation results, and other statewide map products created through this project. For further information regarding the methods of this study see Corkran et al. (2024), a report submitted to the Massachusetts Executive Office of Energy and Environmental Affairs.Suggested Citation:Corkran, D., Kirshen, A., Moran, B.J., Blin, N., King, R., Bresee, M., & Boutt, D. (2024). Massachusetts State-wide Groundwater Model and Flooding Risk Assessment 1.0. Report funded by the Massachusetts Executive Office of Energy and Environmental Affairs and published on the ResilientMass website.See full metadata and the feature service.

  8. d

    Gravitational mass balance of Greenland 2003 to present v3.0

    • data.dtu.dk
    hdf
    Updated Jan 14, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Valentina Roberta Barletta; Louise Sandberg Sørensen; Sebastian Bjerregaard Simonsen; René Forsberg (2025). Gravitational mass balance of Greenland 2003 to present v3.0 [Dataset]. http://doi.org/10.11583/DTU.12866579.v5
    Explore at:
    hdfAvailable download formats
    Dataset updated
    Jan 14, 2025
    Dataset provided by
    Technical University of Denmark
    Authors
    Valentina Roberta Barletta; Louise Sandberg Sørensen; Sebastian Bjerregaard Simonsen; René Forsberg
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Greenland
    Description

    Greenland mass balance (GMB) product for the Greenland Ice Sheet from GRACE(-FO) satellite gravimetry (CSR RL06.2) by DTU Space, computed with the mass point inversion method.The GMB are derived by DTU Space within the ESA CCI GIS project and they are provided as temporal mass changes and 5-yearly gridded mass trends in the file:ESACCI-GIS-L3-GMB-DTU-2024-fv3.0.ncThe GMB temporal mass changes are also provided in ascii format (in the folder time_series).GIS00_grace.dat : all GISGIS01_grace.dat : Basin 1GIS02_grace.dat : Basin 2GIS03_grace.dat : Basin 3GIS04_grace.dat : Basin 4GIS05_grace.dat : Basin 5GIS06_grace.dat : Basin 6GIS07_grace.dat : Basin 7GIS08_grace.dat : Basin 8The files contain the following information:time [decimal year], mass change [gigatons], error [gigatons].Each file is complemented by a quicklook image in png format.The GMB mass change trends over different 5-year periods are also provided in grids (ascii format) in the folder mass_trendsThe linear trend grids are given in units of millimeter water equivalent per year.Data source: GRACE and GRACE-FO monthly solutions provided by CSR RL06.2GIA correction: Caron et al. 2018Basin definitions and further data descriptions can be found in the ST-DTU-ESA-GISCCI-ATBD-001_v3.0.doc and ST-DTU-ESA-GISCCI-PSD_v2.2.doc which can be found on the project website: http://esa-icesheets-greenland-cci.org/GMB products by DTU Space are derived with the inversion method described in Barletta et a. 2013.(http://www.the-cryosphere.net/7/1411/2013/tc-7-1411-2013.html)Citation:Barletta, V. R., Sorensen, L. S., and Forsberg, R.: Scatter of mass changes estimates at basin scale for Greenland and Antarctica, The Cryosphere, 7, 1411-1432, doi:10.5194/tc-7-1411-2013, 2013.The main change from the previous version 2.4 is the packaging. The minor change is the update in the time series.

  9. M

    12-Hydroxyoctadecanoic acid; LC-ESI-QFT; MS2; CE: 90; R=17500; [M-H]-

    • massbank.eu
    • massbank.jp
    Updated Aug 19, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2020). 12-Hydroxyoctadecanoic acid; LC-ESI-QFT; MS2; CE: 90; R=17500; [M-H]- [Dataset]. https://massbank.eu/MassBank/RecordDisplay?id=MSBNK-LCSB-LU039856
    Explore at:
    Dataset updated
    Aug 19, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This MassBank record with Accession MSBNK-LCSB-LU039856 contains the MS2 mass spectrum of 12-Hydroxyoctadecanoic acid with the InChIkey ULQISTXYYBZJSJ-UHFFFAOYSA-N.

  10. m

    The Hydrogeologic Atlas of Massachusetts: Transmissivity and Aquifer Yield

    • gis.data.mass.gov
    • geo-massdot.opendata.arcgis.com
    Updated Apr 4, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MassGIS - Bureau of Geographic Information (2024). The Hydrogeologic Atlas of Massachusetts: Transmissivity and Aquifer Yield [Dataset]. https://gis.data.mass.gov/datasets/the-hydrogeologic-atlas-of-massachusetts-transmissivity-and-aquifer-yield
    Explore at:
    Dataset updated
    Apr 4, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    The data in this map service is a polygon feature class (converted from a 100-meter resolution raster dataset) that uses the hydraulic conductivity fields from SURFGEO24K_K_POLY, water table elevation from the statewide groundwater flow model, and bedrock altitude to calculate aquifer yield and minimum, maximum, and average transmissivity in square feet per day. Transmissivity was calculated as hydraulic conductivity multiplied by aquifer thickness. Aquifer thickness was determined by the water table elevation minus bedrock altitude. Transmissivity cutoff values to characterize aquifer yield were from the MassGIS Aquifers layer (AQUIFERS_POLY).The Hydrogeologic Atlas of Massachusetts provides data on the hydraulic properties of the statewide surficial aquifers. The datasets were developed using surficial geology, bedrock altitude, a statewide groundwater flow model, and a compilation of hydraulic property data from U.S. Geological Survey groundwater reports, Massachusetts Department of Environmental Protection Zone II reports, and other Massachusetts-specific journal articles (a total of 23 sources).One of the goals of this project was to understand current and projected future groundwater flooding risks across the state. To understand groundwater flooding risks, we developed a statewide three-dimensional groundwater flow model to simulate the water table elevation. The Hydrogeologic Atlas of Massachusetts compiles new datasets developed as input into the groundwater model, groundwater model simulation results, and other statewide map products created through this project. For further information regarding the methods of this study see Corkran et al. (2024), a report submitted to the Massachusetts Executive Office of Energy and Environmental Affairs.Suggested Citation:Corkran, D., Kirshen, A., Moran, B.J., Blin, N., King, R., Bresee, M., & Boutt, D. (2024). Massachusetts State-wide Groundwater Model and Flooding Risk Assessment 1.0. Report funded by the Massachusetts Executive Office of Energy and Environmental Affairs and published on the ResilientMass website.See full metadata and the feature service.

  11. M

    Progesterone; LC-ESI-QTOF; MS2; CE: 20eV; R=7000; [M+H]+

    • massbank.eu
    • msbi.ipb-halle.de
    • +1more
    Updated Apr 7, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Progesterone; LC-ESI-QTOF; MS2; CE: 20eV; R=7000; [M+H]+ [Dataset]. https://massbank.eu/MassBank/RecordDisplay?id=MSBNK-Antwerp_Univ-METOX_N108706_EF88
    Explore at:
    Dataset updated
    Apr 7, 2022
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This MassBank record with Accession MSBNK-Antwerp_Univ-METOX_N108706_EF88 contains the MS2 mass spectrum of Progesterone with the InChIkey RJKFOVLPORLFTN-LEKSSAKUSA-N.

  12. d

    Total mass flux from sediment traps from R/V Tangaroa cruise 61TG_3052 in...

    • search.dataone.org
    • bco-dmo.org
    Updated Dec 5, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Scott Nodder; Dr Anya Waite; Doug Mackie (2021). Total mass flux from sediment traps from R/V Tangaroa cruise 61TG_3052 in the Southern Ocean in 1999 (SOIREE project) [Dataset]. https://search.dataone.org/view/sha256:3b0f13b823ff152fb1cb2078825bddf109145ca6f56b51c924bbc86f7b6db554
    Explore at:
    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Biological and Chemical Oceanography Data Management Office (BCO-DMO)
    Authors
    Scott Nodder; Dr Anya Waite; Doug Mackie
    Description

    SOIREE Sediment Traps - Total Mass Flux

  13. M

    Fumonisin B3; LC-ESI-ITFT; MS2; CE: 50; R=17500; [M+H]+

    • massbank.eu
    • msbi.ipb-halle.de
    Updated Jul 7, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Fumonisin B3; LC-ESI-ITFT; MS2; CE: 50; R=17500; [M+H]+ [Dataset]. https://massbank.eu/MassBank/RecordDisplay?id=MSBNK-AAFC-AC000493
    Explore at:
    Dataset updated
    Jul 7, 2017
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    This MassBank record with Accession MSBNK-AAFC-AC000493 contains the MS2 mass spectrum of Fumonisin B3 with the InChIkey CPCRJSQNWHCGOP-ZBUYIUKQSA-N.

  14. M

    Cortisol; LC-ESI-QTOF; MS2; CE: 20eV; R=7000; [M+H]+

    • massbank.eu
    • massbank.jp
    • +1more
    Updated Apr 7, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Cortisol; LC-ESI-QTOF; MS2; CE: 20eV; R=7000; [M+H]+ [Dataset]. https://massbank.eu/MassBank/RecordDisplay?id=MSBNK-Antwerp_Univ-METOX_N105306_EF88
    Explore at:
    Dataset updated
    Apr 7, 2022
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This MassBank record with Accession MSBNK-Antwerp_Univ-METOX_N105306_EF88 contains the MS2 mass spectrum of Cortisol with the InChIkey JYGXADMDTFJGBT-VWUMJDOOSA-N.

  15. M

    Oleamide; GC-APCI-QTOF; MS2; CE: 40 eV; R=35000; [M]+

    • massbank.eu
    • massbank.jp
    • +1more
    Updated Apr 20, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2021). Oleamide; GC-APCI-QTOF; MS2; CE: 40 eV; R=35000; [M]+ [Dataset]. https://massbank.eu/MassBank/RecordDisplay?id=MSBNK-Athens_Univ-AU503909
    Explore at:
    Dataset updated
    Apr 20, 2021
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This MassBank record with Accession MSBNK-Athens_Univ-AU503909 contains the MS2 mass spectrum of Oleamide with the InChIkey FATBGEAMYMYZAF-UHFFFAOYSA-N.

  16. S

    Flavor ratio as a function of mass for central leptons.

    • hepdata.net
    csv +3
    Updated 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    HEPData (2021). Flavor ratio as a function of mass for central leptons. [Dataset]. http://doi.org/10.17182/hepdata.101186.v2/t33
    Explore at:
    https://yaml.org, https://yoda.hepforge.org, https://root.cern, csvAvailable download formats
    Dataset updated
    2021
    Dataset provided by
    HEPData
    Description

    Ratio of the differential dilepton production cross section in the dimuon and dielectron channels $R_{\mu^{+}\mu^{-}/e^{+}e^{-}}$, as a function of $m_{\ell\ell}$...

  17. M

    Loratadine; LC-ESI-QTOF; MS2; CE: 40 eV; R=35000; [M+H]+

    • massbank.eu
    • msbi.ipb-halle.de
    Updated Dec 19, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). Loratadine; LC-ESI-QTOF; MS2; CE: 40 eV; R=35000; [M+H]+ [Dataset]. https://massbank.eu/MassBank/RecordDisplay?id=MSBNK-Athens_Univ-AU226804
    Explore at:
    Dataset updated
    Dec 19, 2018
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This MassBank record with Accession MSBNK-Athens_Univ-AU226804 contains the MS2 mass spectrum of Loratadine with the InChIkey JCCNYMKQOSZNPW-UHFFFAOYSA-N.

  18. T

    Average Earnings of High School Graduates by Industry

    • educationtocareer.data.mass.gov
    application/rdfxml +5
    Updated Jul 13, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Executive Office of Education (2023). Average Earnings of High School Graduates by Industry [Dataset]. https://educationtocareer.data.mass.gov/Finance-and-Budget/Average-Earnings-of-High-School-Graduates-by-Indus/wxc8-6an4
    Explore at:
    application/rssxml, json, csv, application/rdfxml, tsv, xmlAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset authored and provided by
    Executive Office of Education
    Description

    This dataset provides the average annual earnings by industry per district.

    Wage records are obtained from the Massachusetts Department of Unemployment Assistance (DUA) using a secure, anonymized matching process with limitations. For details on the process and suppression rules, please visit the Employment and Earnings of High School Graduates dashboard.

    This dataset is one of three containing the same data that is also published in the Employment and Earnings of High School Graduates dashboard: Average Earnings by Student Group Average Earnings by Industry College and Career Outcomes

    List of Industries

    • 00 - All Students
    • 11 - Agriculture, Forestry, Fishing and Hunting
    • 21 - Mining, Quarrying, and Oil and Gas Extraction
    • 22 - Utilities
    • 23 - Construction
    • 31 - Manufacturing
    • 42 - Wholesale Trade
    • 44 - Retail Trade
    • 48 - Transportation and Warehousing
    • 51 - Information
    • 52 - Finance and Insurance
    • 53 - Real Estate and Rental and Leasing
    • 54 - Professional, Scientific, and Technical Services
    • 55 - Management of Companies and Enterprises
    • 56 - Administrative and Support and Waste Management and Remediation Services
    • 61 - Educational Services
    • 62 - Health Care and Social Assistance
    • 71 - Arts, Entertainment, and Recreation
    • 72 - Accommodation and Food Services
    • 81 - Other Services (except Public Administration)
    • 92 - Public Administration
    • 0 - No Industry Reported

  19. m

    The Hydrogeologic Atlas of Massachusetts: Water Table Ratio

    • gis.data.mass.gov
    • hub.arcgis.com
    • +1more
    Updated Apr 4, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MassGIS - Bureau of Geographic Information (2024). The Hydrogeologic Atlas of Massachusetts: Water Table Ratio [Dataset]. https://gis.data.mass.gov/items/a9ea8d4100854352b648136bb4a1d570
    Explore at:
    Dataset updated
    Apr 4, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    The data in this map service is a raster (100-meter resolution) that uses average transmissivity from SURFGEO24K_T_AY, topographic relief, and groundwater recharge to calculate the water table ratio. Positive values indicate that the region has a topography-controlled water table, and negative numbers indicate a recharge-controlled water table. For further methods see Gleeson et al. (2011).The Hydrogeologic Atlas of Massachusetts provides data on the hydraulic properties of the statewide surficial aquifers. The datasets were developed using surficial geology, bedrock altitude, a statewide groundwater flow model, and a compilation of hydraulic property data from U.S. Geological Survey groundwater reports, Massachusetts Department of Environmental Protection Zone II reports, and other Massachusetts-specific journal articles (a total of 23 sources).One of the goals of this project was to understand current and projected future groundwater flooding risks across the state. To understand groundwater flooding risks, we developed a statewide three-dimensional groundwater flow model to simulate the water table elevation. The Hydrogeologic Atlas of Massachusetts compiles new datasets developed as input into the groundwater model, groundwater model simulation results, and other statewide map products created through this project. For further information regarding the methods of this study see Corkran et al. (2024), a report submitted to the Massachusetts Executive Office of Energy and Environmental Affairs.Suggested Citation:Corkran, D., Kirshen, A., Moran, B.J., Blin, N., King, R., Bresee, M., & Boutt, D. (2024). Massachusetts State-wide Groundwater Model and Flooding Risk Assessment 1.0. Report funded by the Massachusetts Executive Office of Energy and Environmental Affairs and published on the ResilientMass website.See full metadata.

  20. r

    Bridges with Posted Mass Limit - VicRoads

    • researchdata.edu.au
    Updated Jun 5, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.vic.gov.au (2020). Bridges with Posted Mass Limit - VicRoads [Dataset]. https://researchdata.edu.au/bridges-posted-mass-limit-vicroads/633909
    Explore at:
    Dataset updated
    Jun 5, 2020
    Dataset provided by
    data.vic.gov.au
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Bridges on arterial roads in Victoria with a sign posted mass limit. Data\r includes name, location by Shire, gross mass permitted (tonnes), Map reference\r (VicRoads Country Street Directory, Melways)\r \r

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Kelly G. Stratton; Bobbie-Jo M. Webb-Robertson; Lee Ann McCue; Bryan Stanfill; Daniel Claborne; Iobani Godinez; Thomas Johansen; Allison M. Thompson; Kristin E. Burnum-Johnson; Katrina M. Waters; Lisa M. Bramer (2023). pmartR: Quality Control and Statistics for Mass Spectrometry-Based Biological Data [Dataset]. http://doi.org/10.1021/acs.jproteome.8b00760.s001

Data from: pmartR: Quality Control and Statistics for Mass Spectrometry-Based Biological Data

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
ACS Publications
Authors
Kelly G. Stratton; Bobbie-Jo M. Webb-Robertson; Lee Ann McCue; Bryan Stanfill; Daniel Claborne; Iobani Godinez; Thomas Johansen; Allison M. Thompson; Kristin E. Burnum-Johnson; Katrina M. Waters; Lisa M. Bramer
License

Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically

Description

Prior to statistical analysis of mass spectrometry (MS) data, quality control (QC) of the identified biomolecule peak intensities is imperative for reducing process-based sources of variation and extreme biological outliers. Without this step, statistical results can be biased. Additionally, liquid chromatography–MS proteomics data present inherent challenges due to large amounts of missing data that require special consideration during statistical analysis. While a number of R packages exist to address these challenges individually, there is no single R package that addresses all of them. We present pmartR, an open-source R package, for QC (filtering and normalization), exploratory data analysis (EDA), visualization, and statistical analysis robust to missing data. Example analysis using proteomics data from a mouse study comparing smoke exposure to control demonstrates the core functionality of the package and highlights the capabilities for handling missing data. In particular, using a combined quantitative and qualitative statistical test, 19 proteins whose statistical significance would have been missed by a quantitative test alone were identified. The pmartR package provides a single software tool for QC, EDA, and statistical comparisons of MS data that is robust to missing data and includes numerous visualization capabilities.

Search
Clear search
Close search
Google apps
Main menu