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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.
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.
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.
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....
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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.
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.
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.
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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.
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This MassBank record with Accession MSBNK-LCSB-LU039856 contains the MS2 mass spectrum of 12-Hydroxyoctadecanoic acid with the InChIkey ULQISTXYYBZJSJ-UHFFFAOYSA-N.
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.
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This MassBank record with Accession MSBNK-Antwerp_Univ-METOX_N108706_EF88 contains the MS2 mass spectrum of Progesterone with the InChIkey RJKFOVLPORLFTN-LEKSSAKUSA-N.
SOIREE Sediment Traps - Total Mass Flux
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This MassBank record with Accession MSBNK-AAFC-AC000493 contains the MS2 mass spectrum of Fumonisin B3 with the InChIkey CPCRJSQNWHCGOP-ZBUYIUKQSA-N.
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This MassBank record with Accession MSBNK-Antwerp_Univ-METOX_N105306_EF88 contains the MS2 mass spectrum of Cortisol with the InChIkey JYGXADMDTFJGBT-VWUMJDOOSA-N.
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This MassBank record with Accession MSBNK-Athens_Univ-AU503909 contains the MS2 mass spectrum of Oleamide with the InChIkey FATBGEAMYMYZAF-UHFFFAOYSA-N.
Ratio of the differential dilepton production cross section in the dimuon and dielectron channels $R_{\mu^{+}\mu^{-}/e^{+}e^{-}}$, as a function of $m_{\ell\ell}$...
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This MassBank record with Accession MSBNK-Athens_Univ-AU226804 contains the MS2 mass spectrum of Loratadine with the InChIkey JCCNYMKQOSZNPW-UHFFFAOYSA-N.
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
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.
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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
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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.