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These data sets present results from the analyses of groundwater samples collected from monitoring wells and monitoring intervals in bedrock wells in the mudstone aquifer underlying the former Naval Air Warfare Center (NAWC), West Trenton, NJ. The water samples were collected between 2008 and 2013 and were analyzed for field parameters, inorganic and organic constituents, and the abundances of selected microbes of importance to the evaluation of biological degradation of organic contaminants in groundwater. The collection and analyses of the groundwater samples coincides with conducting a bioaugmentation experiment in a targeted region of the mudstone aquifer. The purpose of the bioaugmentation was to introduce...
OBIS-USA brings together marine biological occurrence data – recorded observations of identifiable marine species at a known time and place, collected primarily from U.S. Waters or with U.S. funding. Coordinated by the Science Analytics and Synthesis (SAS) Program of the United States Geological Survey (USGS), OBIS-USA, strives to meet national data integration and dissemination needs for marine data about organisms and ecosystems. OBIS-USA is part of an international data sharing network (Ocean Biogeographic Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission, of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information...
Tags: Arctic Ocean, Atlantic Ocean, Bay of Fundy, Beaufort Sea, Bering Sea, All tags...
Our objective is to improve the scientific understanding of the modes, rates, and mechanisms of carbon stabilization and losses in soils from Alaska, California, and other Western states. We focus on the biophysical and microbial mechanisms that drive carbon gains and losses, and to use our data to improve models of soil carbon cycling. This catalog supports research from several projects focused on soil carbon cycling. It encompasses multiple types of datasets including environmental, ecological, biological, isotopic, mineralogical, genomic, flux, and modeled data from water, vegetation, soil, and atmospheric matrices. The catalog will be available online and to the public. Therefore, publication of data through...
Abstract The importance of snow and related cryospheric processes as an ecological factor has been recognized since at least the beginning of the twentieth century. Even today, however, many observations remain anecdotal. The research to date on cold-lands ecosystems results in scientists being unable to evaluate to what extent changes in the cryosphere will be characterized by abrupt changes in local and global biogeochemical cycles, and how these changes in seasonality may affect the rates and timing of key ecological processes. Studies of gas exchanges through snow have revealed that snow plays an important role in modulating wintertime soil biogeochemical processes, and that these can be the driving processes...
Centaurea diffusa is one of the most destructive invasive weeds in the western USA and allelopathy appears to contribute to its invasiveness (Callaway & Aschehoug 2000). Here we identify a chemical from the root exudates of C. diffusa, 8-hydroxyquinoline, not previously reported as a natural product, and find that it varies biogeographically in its natural concentration and its effect as an allelochemical. 8-Hydroxyquinoline is at least three times more concentrated in C. diffusa-invaded North American soils than in this weed's native Eurasian soils and has stronger phytotoxic effects on grass species from North America than on grass species from Eurasia. Furthermore, experimental communities built from North American...
While it is widely recognized that microorganisms are intimately linked with every biogeochemical cycle in all ecosystems, it is not clear how and when microbial dynamics constrain ecosystem processes. As a result, it is know clear how to apply the value of increasingly detailed characterization of microbial properties to our understanding of ecosystem ecology. Several recent papers have demonstrated how information about microbial dynamics can be incorporated into ecosystem models (Allison et al. 2010, McGuire and Treseder 2010, Todd - Brown et al. 2011a), but it is generally not clear what types of microbial data are most useful in explaining variation in biogeochemical processes and ecosystem functioning, especially...
We deployed a sampler to characterize water quality from a household well tapping a shallow fractured dolomite aquifer in northeast Wisconsin. The sampler was deployed from January to May 2017, and monitored temperature, nitrate, chloride, specific conductance, and fluorescent dissolved organic matter on a minute time step; water was directed to sequential microbial filters during three recharge periods that ranged from 5 to 20 days. Results from the automated sampler demonstrate the dynamic nature of the household water quality, especially with regard to microbial targets, which were shown to vary 1 to 2 orders of magnitude during a single sampling event. We believe assessments of pathogen occurrence and concentration,...
FY2014This project proposes to test the hypothesis that soil fungistasis (suppression of fungal pathogens by soil microbes in carbohydrate-limited soil) and its alleviation through natural carbohydrate augmentation (e.g., cheatgrass litter, leakage from cheatgrass roots) are the principal processes mediating patterns of cheatgrass die-off and recovery in die-off-prone areas.The project team will use laboratory, greenhouse, and field manipulative experiments to examine the effect of soil carbohydrates on cheatgrass disease incidence.
These datasets provide geographic sampling information for Bathymodiolin mussels collected from three cold seep sites off the mid-Atlantic U.S. coast, northwestern Atlantic Ocean. Also included are GenBank accession numbers for mitochondrial gene sequences (COI and ND4) and sequence alignments (File1_mussels) used in phylogenetic analyses for molecular identification of the mussel species. Additionally, GenBank accession numbers for the BioProject containing 16S metabarcoding sequence data used to identify gill symbionts in mussels are provided, along with supporting details for the analyses performed on the 16S metabarcoding data (File2_Symbionts).

    map background search result map search result map Biogeochemical analyses of water samples collected in the mudstone aquifer underlying the Naval Air Warfare Center, West Trenton, NJ (2008-2013) Cheatgrass Stand Failure in the Great Basin: Fungal Pathogens, Carbon Dynamics, and Fungistasis Water-quality data collected for Kewaunee County, Wisconsin Molecular characterization of deep-sea bathymodiolin mussels and gill symbionts from the U.S. mid-Atlantic margin Biogeochemical analyses of water samples collected in the mudstone aquifer underlying the Naval Air Warfare Center, West Trenton, NJ (2008-2013) Cheatgrass Stand Failure in the Great Basin: Fungal Pathogens, Carbon Dynamics, and Fungistasis Molecular characterization of deep-sea bathymodiolin mussels and gill symbionts from the U.S. mid-Atlantic margin Water-quality data collected for Kewaunee County, Wisconsin