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Dataset
WA-TmG.1.0 (Metagenome, WA)

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...

Biology
Earth System Science
Dataset
GCAM v4.3 SSP-RCP-GCM Output Databases

These GCAM v4.3 SSP-RCP-GCM Output Databases are made available under the Open Data Commons Attribution License: http://opendatacommons.org/licenses/by/1.0/ . GCAM v4.3 SSP-RCP-GCM plausible solution databases. Supplemental dataset to: Graham N.T., M.I. Hejazi, M. Chen, E. Davies, J.A. Edmonds, S.H...

Earth System Science
Dataset
MCSs and IDC in the US for 2004 – 2017

The database provides high-resolution (4-km, hourly) information of mesoscale convective systems (MCSs) and isolated deep convection events (IDC) east of the Rocky Mountains over the contiguous United States from 2004 – 2017. The database contains various characteristics of MCSs and IDC, such as...

Earth System Science
Dataset
Salish Sea Model - Y2014 Hydrodynamic Solution Files

The year 2014 solution files are based on model calibration effort based on inputs and data from Year 2014 as described in Khangaonkar et al. 2018). It includes water surface elevation, currents, temperature and salinity at an hourly interval. These netcdf files with 24 hourly records include...

Coastal Science
Publication
Metabotyping as a stopover in Genome-to-phenome Mapping
Predicting phenotypic expression from genomic and environmental information is arguably the greatest challenge in today’s biology. Being able to survey genomic content, e.g., as single-nucleotide polymorphism data, within a diverse population and predict the phenotypes of external traits, represents...
Earth System Science
Publication
Selection, Succession, and Stabilization of Soil Microbial Consortia
Soil microorganisms play fundamental roles in cycling of soil carbon, nitrogen, and other nutrients, yet we have a poor understanding of how soil microbiomes are shaped by their nutritional and physical environment. In this study, we investigated the successional dynamics of a soil microbiome during...
Earth System Science
Biology
Publication
Estimating Hourly Land Surface Downward Shortwave and Photosynthetically Active Radiation from DSCOVR/EPIC Observations
The direct and diffused components of downward shortwave radiation (SW), and photosynthetically active radiation (PAR) at the Earth surface play an essential role in biochemical (e.g. photosynthesis) and physical (e.g. energy balance) processes that control weather and climate conditions, and...
Earth System Science
Publication
Localized basal area affects soil respiration temperature sensitivity in a coastal deciduous forest
Soil respiration (Rs), the flow of CO2 from the soil surface to the atmosphere, is one of the largest carbon fluxes in the terrestrial biosphere. The spatial variability of Rs is both large and poorly understood, limiting our ability to robustly scale it in space. One factor in Rs spatial...
Earth System Science
Publication
Soil respiration variability and correlation across a wide range of temporal scales
The high temporal variability of the soil-to-atmosphere CO2 flux (soil respiration, RS) has been studied at hourly to multiannual timescales, but remains less well understood than RS spatial variability. How RS fluxes vary and are auto-correlated at various time lags has practical implications for...
Earth System Science
Dataset
EPIC_SW_PAR_hourly_2019_06
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...
Earth System Science
Dataset
EPIC_SW_PAR_hourly_2019_05
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...
Earth System Science
Dataset
EPIC_SW_PAR_hourly_2019_04
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...
Earth System Science
Dataset
EPIC_SW_PAR_hourly_2019_03
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...
Earth System Science
Dataset
EPIC_SW_PAR_hourly_2019_02
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...
Earth System Science
Dataset
EPIC_SW_PAR_hourly_2019_01
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...
Earth System Science