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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. The Ocean Renewable Power Company (ORPC) data were recorded in...
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.
  1. Datasets

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Dataset
This dataset contains the internal (log base 2 metabolite abundance) and external (plant biomass) phenotype data collected from 290 Brachypodium distachyon plants from 30 different accessions subjected to well-watered and underwatered treatment conditions. The data is contained in a comma separated...
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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Investigation of the successional dynamics of a soil microbiome during 21-weeks of enrichment on chitin and its monomer, N-acetylglucosamine (NAG). Soil community succession was observed and analyzed over time in both a physically heterogeneous soil matrix as well as a homogeneous liquid medium...
Dataset

The data accompanies the manuscript that evaluates salinity-associated shifts in organic C thermodynamics, biochemical transformations, and heteroatom content in a first-order coastal watershed in the Olympic Peninsula of Washington state, USA. The files contain raw data including soil chemical...

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...

  1. Datasets

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Dataset

The database contains 55 compounds and is comprised of the species in the paper referenced below that introduced the concept of the SERDP database.

Category

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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Soil microorganisms carry out important processes, including support of plant growth and cycling of carbon and other nutrients. However, the majority of soil microbes have not yet been isolated and their functions are largely unknown. Although metagenomic sequencing reveals microbial identities and...

Category

The data accompanies the manuscript in review that evaluates salinity-associated shifts in organic C thermodynamics, biochemical transformations, and heteroatom content in a first-order coastal watershed in the Olympic Peninsula of Washington state, USA. The files contain raw data including soil...

The data accompanies the manuscript in review that evaluates salinity-associated shifts in organic C thermodynamics, biochemical transformations, and heteroatom content in a first-order coastal watershed in the Olympic Peninsula of Washington state, USA. The files contain raw data including soil...

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...

Category

  1. Datasets

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Recent studies have shown that reducing the precision of floating‐point calculations in an atmospheric model can improve the model's computational performance without affecting model fidelity, but code changes are needed to accommodate lower precision or to prevent undue round‐off error. For complex...