Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...

Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...

Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...

Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...

Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...

Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...

Interactive data plots for proteomics and phosphoproteomics data from tumor (n=83) and normal tissue from high-grade serous ovarian cancer.

Please cite as : Anderson L.N., W.C. Nelson, J.E. McDermott, R. Wu, S.J. Fansler, Y. Farris, and J.K. Jansson, et al. 2020. WA-TmG.1.0 (Metagenome, WA). [Data Set] PNNL DataHub. https://doi.org/10.25584/WATmG1/1635002 To enable a comprehensive survey of the metabolic potential of complex soil...

Please cite as : Anderson L.N., W.C. Nelson, J.E. McDermott, R. Wu, S.J. Fansler, Y. Farris, and J.K. Jansson, et al. 2020. IA-TmG.1.0 (Metagenome, IA). [Data Set] PNNL DataHub. https://doi.org/10.25584/IATmG1/1635005 To enable a comprehensive survey of the metabolic potential of complex soil...

Systems Virology Lethal Human Virus, SARS-CoV Experiment SM003 New uploads pending The purpose of this SARS experiment was to obtain samples for transcriptome and proteome analysis in C57BlL/6 mice lung infected with dicSARS CoV, SARS MA15 wild type and SARS BatSRBD mutant virus. Overall Design...

Systems Virology Lethal Human Virus, SARS-CoV Experiment SM012 New uploads pending The purpose of this SARS experiment was to obtain samples for transcriptome and proteome analysis in C57Bl/6 mice infected with SARS MA15 or SARS deltaORF6 mutant viruses. Overall Design: Twenty-week-old C57BL/6 mice...

Systems Virology Lethal Human Virus, SARS-CoV Experiment SCL005 New uploads pending The purpose of this experiment was to evaluate the human host response to wild type virus icSARS-CoV Urbani and mutant virus icSARS deltaORF6 (DORF6) infection for subsequent transcriptional and proteomic analysis in...

Please cite as : Anderson L.N., W.C. Nelson, J.E. McDermott, R. Wu, S.J. Fansler, Y. Farris, and J.K. Jansson, et al. 2020. KS-TmG.1.0 (Metagenome, KS). [Data Set] PNNL DataHub. https://doi.org/10.25584/KSTmG1/1635004 To enable a comprehensive survey of the metabolic potential of complex soil...

Please cite as : Zegeye E., C.J. Brislawn, Y. Farris, S.J. Fansler, K.S. Hofmockel, J.K. Jansson, and A.T. Wright, et al. 2019. WA-IsoC_NAG.1.0 (Amplicon 16S/ITS, WA). [Data Set] PNNL DataHub. https://dx.doi.org/10.25584/data.2019-02.700/1506698 Investigation of the successional dynamics of a soil...

Comprehensive assessment of climate datasets created by statistical or dynamical models is important for effectively communicating model projection and associated uncertainty to stakeholders and decision-makers. The Department of Energy FACETS project aims to foster such communication through...