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| https://data.iadc.cnr.it/erddap/tabledap/amspmf
| https://data.iadc.cnr.it/erddap/tabledap/amspmf.graph
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| https://data.iadc.cnr.it/erddap/files/amspmf/
| public
| Main datasets of \"Unraveling Arctic organic aerosol sources: a year-long study by H-NMR and AMS in Ny-Ålesund, Svalbard\"
| Work-sheets: 1) AMS_PMF-Contributions: reporting the contributions of the factors resulting from the Positive Matrix Factorization (PMF) of HR-TOF-AMS spectral dataset: \t\t- contributions to the total WSOM, expressed in g m-3 and gC m-3 \t\t- contributions to the total OC, after multilinear regression, expressed in gC m-3 & % (before and after splitting Marine OA in marine POA and SOA based on what reported in the paper) 2) AMS_PMF-Profiles: \t- reporting the spectral profiles of the factors resulting from the Factor analyses (PMF) of HR-AMS dataset, expressed in g m-3 \t- the original spectra (eliminating all the isotope ions and the inorganic fragments from the quantified ions) are subtracted by the blanks mean 3) AMS_PMF_Raw_input: \t- reporting the input matrixes used for the Positive Matrix Factorization (PMF) factor analysis using ME algorithm \t- are reported both the data matrix (named \"Data\") and the uncertainty matrix (\"Err\", necessary to run the PMF using the ME2 algorithm) \t- Uncertainty/error matrix was prepared following the error propagation approach by Daellenbach et al., 2016.\n\ncdm_data_type = Other\nVARIABLES:\nurl\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n
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| https://data.iadc.cnr.it/erddap/info/amspmf/index.htmlTable
| https://metadata.iadc.cnr.it/geonetwork/srv/api/records/0e110925-1f3d-4013-b048-e5a47ca3be6f
| https://data.iadc.cnr.it/erddap/rss/amspmf.rss
| https://data.iadc.cnr.it/erddap/subscriptions/add.html?datasetID=amspmf&showErrors=false&email=
| Italian National Research Council - Institute of Atmospheric Sciences and Climate (CNR-ISAC)
| amspmf
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