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The objective of Terrestrial-Aquatic Interface (TAI) research in PREMIS is to understand the factors governing C and nutrient movement and transformation through the TAI, and their sensitivities to inundation and salinity within coastal watersheds.
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The EyeSea underwater video dataset was assembled for developing algorithms for detecting fish in real world underwater video data. The data were recorded as part of environmental monitoring efforts at three different water power sites.
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The Predicting Ecosystem Resilience through Multiscale Integrative Science (PREMIS) database was generated to mechanistically understand how feedbacks across scales, from molecular to plant to plant populations and communities to ecosystems, govern the resilience of system functions to elevated CO2...
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The Phenotypic Response of the Soil Microbiome to Environmental Perturbations Project (Soil Microbiome) at Pacific Northwest National Laboratory is a Genomic Sciences Program Science Focus Area (SFA) Project operating under the Environmental Microbiome Science Research Area. The Soil Microbiome SFA...

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This project is an interdisciplinary collaboration supported by US DOE Office of Science's Scientific Discovery through Advanced Computing (SciDAC) program. The project addresses a crucial but largely overlooked source of error in the Energy Exascale Earth System Model (E3SM) and other atmosphere...

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The influence of tidal inundation dynamics on below ground carbon pools is poorly understood across coastal terrestrial-aquatic interface (TAI) ecosystems. The dynamic environmental conditions of tidally-influenced landscapes, the chemically complex nature of carbon compounds, the diverse nature of...

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This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities.

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Project

The PNNL-SERDP database was constructed by PNNL to generate the quantitative infrared spectra of gases associated with biomass burning; the reference data are to allow detection and quantification of such gases via infrared absorption spectroscopy. Candidates for the database were selected based on...

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This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities.

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