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  • 1
    Publication Date: 2023-01-30
    Keywords: Calculated after Luo et al. (2012); Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; MAREDAT_Diazotrophs_Collection; Nitrogen Fixation (C2H2 Reduction); Nitrogen fixation rate, total; Nitrogen fixation rate, whole seawater; Salinity; Temperature, water; WEC_Stn1; WEC_Stn2; Western English Channel
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-12-18
    Keywords: Calculated after Luo et al. (2012); Cape Verde; Chlorophyll a as carbon; Comment; D325_Stn-A-01; D325_Stn-A-02; D325_Stn-B-01; D325_Stn-C-01; D325_Stn-C-02; D325_Stn-C-03; D325_Stn-C-04; D325_Stn-C-05; D325_Stn-C-06; D325_Stn-C-07; D325_Stn-C-08; D325_Stn-D-01; D325_Stn-D-02; D325_Stn-D-03; D325_Stn-D-04; D325_Stn-D-05; D325_Stn-D-06; D325_Stn-D-07; D325_Stn-E-01; D325_Stn-E-02; D325_Stn-E-03; D325_Stn-E-04; D325_Stn-E-05; D325_Stn-F-01; D325_Stn-F-02; D325_Stn-F-03; D325_Stn-F-04; D325_Stn-F-05; D325_Stn-F-06; D325_Stn-F-07; Date/Time of event; DEPTH, water; Event label; Iron; Latitude of event; Longitude of event; MAREDAT_Diazotrophs_Collection; Nitrate; Nitrogen Fixation (C2H2 Reduction); Nitrogen fixation rate, total; Nitrogen fixation rate, whole seawater; Phosphate; PUMP; Salinity; Sample comment; Temperature, water; Water pump
    Type: Dataset
    Format: text/tab-separated-values, 363 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-12-18
    Keywords: Calculated after Luo et al. (2012); Cape Verde; Chlorophyll a; Comment; D325_Stn-A-02; D325_Stn-B-01; D325_Stn-C-01; D325_Stn-C-03; D325_Stn-C-04; D325_Stn-C-05; D325_Stn-C-06; D325_Stn-C-07; D325_Stn-C-08; D325_Stn-D-01; D325_Stn-D-02; D325_Stn-D-03; D325_Stn-D-04; D325_Stn-D-05; D325_Stn-D-06; D325_Stn-E-02; D325_Stn-E-03; D325_Stn-E-04; D325_Stn-E-05; D325_Stn-E-07; D325_Stn-E-08; D325_Stn-F-01; D325_Stn-F-02; D325_Stn-F-03; D325_Stn-F-04; D325_Stn-F-05; D325_Stn-F-06; Date/Time of event; DEPTH, water; Diazotrophs, total biomass as carbon; Event label; Fluorescence-based quantitative real-time PCR (qPCR); Heterocyst, biomass; Iron; Latitude of event; Longitude of event; MAREDAT_Diazotrophs_Collection; Nitrate; Phosphate; PUMP; Richelia, abundance expressed in number of nifH gene copies; Richelia, associated species; Richelia, biological trait, ratio expressed in mass of carbon per amount of nifH gene copies; Salinity; Temperature, water; Trichodesmium, abundance expressed in number of nifH gene copies; Trichodesmium, biomass as carbon; Trichodesmium abundance, total; Unicellular cyanobacteria, biomass; Unicellular cyanobacteria-A, abundance expressed in number of nifH gene copies; Unicellular cyanobacteria-A, biological trait, ratio expressed in mass of carbon per amount of nifH gene copies; Unicellular cyanobacteria-B, abundance expressed in number of nifH gene copies; Unicellular cyanobacteria-B, biological trait, ratio expressed in mass of carbon per amount of nifH gene copies; Water pump
    Type: Dataset
    Format: text/tab-separated-values, 510 data points
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  • 4
    Publication Date: 2024-03-15
    Keywords: Abundance; Alkalinity, total; Aragonite saturation state; Arctic; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Community composition and diversity; Coulometric titration; Entire community; EPOCA; European Project on Ocean Acidification; Field experiment; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Identification; Mesocosm or benthocosm; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Polar; Potentiometric titration; Salinity; Size; Species; Temperature, water; Time, incubation
    Type: Dataset
    Format: text/tab-separated-values, 27144 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-03-15
    Description: Ocean acidification (OA), caused by the dissolution of increasing concentrations of atmospheric carbon dioxide (CO2) in seawater, is projected to cause significant changes to marine ecology and biogeochemistry. Potential impacts on the microbially driven cycling of nitrogen are of particular concern. Specifically, under seawater pH levels approximating future OA scenarios, rates of ammonia oxidation (the rate-limiting first step of the nitrification pathway) have been shown to dramatically decrease in seawater, but not in underlying sediments. However, no prior study has considered the interactive effects of microbial ammonia oxidation and macrofaunal bioturbation activity, which can enhance nitrogen transformation rates. Using experimental mesocosms, we investigated the responses to OA of ammonia oxidizing microorganisms inhabiting surface sediments and sediments within burrow walls of the mud shrimp Upogebia deltaura. Seawater was acidified to one of four target pH values (pHT 7.90, 7.70, 7.35 and 6.80) in comparison with a control (pHT 8.10). At pHT 8.10, ammonia oxidation rates in burrow wall sediments were, on average, fivefold greater than in surface sediments. However, at all acidified pH values (pH 〈 = 7.90), ammonia oxidation rates in burrow sediments were significantly inhibited (by 79-97%; p 〈 0.01), whereas rates in surface sediments were unaffected. Both bacterial and archaeal abundances increased significantly as pHT declined; by contrast, relative abundances of bacterial and archaeal ammonia oxidation (amoA) genes did not vary. This research suggests that OA could cause substantial reductions in total benthic ammonia oxidation rates in coastal bioturbated sediments, leading to corresponding changes in coupled nitrogen cycling between the benthic and pelagic realms.
    Keywords: Acid-base regulation; Alkalinity, total; Alkalinity, total, standard deviation; Ammonia, oxidation rate; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthos; Bicarbonate ion; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, inorganic, total; Carbon, organic, total; Carbon, total; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Change; Coast and continental shelf; Core; Date; DEPTH, sediment, experiment; Depth comment; Entire community; EXP; Experiment; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gene abundance; Gene expression (incl. proteomics); Haemolymph, pH; Identification; Jennycliff_Bay; Laboratory experiment; Mesocosm or benthocosm; Nitrogen, inorganic; Nitrogen, organic; Nitrogen, total; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Polar; Potentiometric; Potentiometric titration; Salinity; Salinity, standard deviation; Soft-bottom community; Species; Table; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Upogebia deltaura
    Type: Dataset
    Format: text/tab-separated-values, 13415 data points
    Location Call Number Limitation Availability
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  • 6
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    In:  Supplement to: Glas, Martin S; Fabricius, Katharina Elisabeth; de Beer, Dirk; Uthicke, Sven; Gilbert, Jack Anthony (2012): The O2, pH and Ca2+ Microenvironment of Benthic Foraminifera in a High CO2 World. PLoS ONE, 7(11), e50010, https://doi.org/10.1371/journal.pone.0050010
    Publication Date: 2024-05-22
    Description: Ocean acidification (OA) can have adverse effects on marine calcifiers. Yet, phototrophic marine calcifiers elevate their external oxygen and pH microenvironment in daylight, through the uptake of dissolved inorganic carbon (DIC) by photosynthesis. We studied to which extent pH elevation within their microenvironments in daylight can counteract ambient seawater pH reductions, i.e. OA conditions. We measured the O2 and pH microenvironment of four photosymbiotic and two symbiont-free benthic tropical foraminiferal species at three different OA treatments (~432, 1141 and 2151 µatm pCO2). The O2 concentration difference between the seawater and the test surface (delta O2) was taken as a measure for the photosynthetic rate. Our results showed that O2 and pH levels were significantly higher on photosymbiotic foraminiferal surfaces in light than in dark conditions, and than on surfaces of symbiont-free foraminifera. Rates of photosynthesis at saturated light conditions did not change significantly between OA treatments (except in individuals that exhibited symbiont loss, i.e. bleaching, at elevated pCO2). The pH at the cell surface decreased during incubations at elevated pCO2, also during light incubations. Photosynthesis increased the surface pH but this increase was insufficient to compensate for ambient seawater pH decreases. We thus conclude that photosynthesis does only partly protect symbiont bearing foraminifera against OA.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Amphistegina radiata; Aragonite saturation state; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calcium ion; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Chromista; Coast and continental shelf; Coulometric titration; Date; Figure; Foraminifera; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Group; Heterostegina depressa; Heterotrophic prokaryotes; Hydrogen ion concentration; Hydrogen ion concentration, standard deviation; Identification; Individual code; Irradiance; Laboratory experiment; Marginopora vertebralis; Miliola sp.; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen; Oxygen, standard deviation; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Peneroplis sp.; pH; pH, standard deviation; Phosphate; Phosphate, standard deviation; Position; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Quinquelloculina sp.; Revelle factor; Revelle factor, standard deviation; Salinity; Silicate; Silicate, standard deviation; Single species; Size; Slope; Slope, standard deviation; South Pacific; Species; Spectrophotometric; Temperature, water; Temperature, water, standard deviation; Time point, descriptive; Treatment; Tropical
    Type: Dataset
    Format: text/tab-separated-values, 22899 data points
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  • 7
    Publication Date: 2020-02-12
    Description: Here we present a standard developed by the Genomic Standards Consortium (GSC) for reporting marker gene sequences—the minimum information about a marker gene sequence (MIMARKS). We also introduce a system for describing the environment from which a biological sample originates. The ‘environmental packages’ apply to any genome sequence of known origin and can be used in combination with MIMARKS and other GSC checklists. Finally, to establish a unified standard for describing sequence data and to provide a single point of entry for the scientific community to access and learn about GSC checklists, we present the minimum information about any (x) sequence (MIxS). Adoption of MIxS will enhance our ability to analyze natural genetic diversity documented by massive DNA sequencing efforts from myriad ecosystems in our ever-changing biosphere.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 8
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2018. This is the author's version of the work. It is posted here by permission of American Chemical Society for personal use, not for redistribution. The definitive version was published in Environmental Science and Technology 52 (2018): 5115–5124, doi:10.1021/acs.est.7b06417.
    Description: Urban greenspaces provide extensive ecosystem services, including pollutant remediation, water management, carbon maintenance, and nutrient cycling. However, while the urban soil microbiota underpin these services, we still have limited understanding of the factors that influence their distribution. We characterized soil bacterial communities from turf-grasses associated with urban parks, streets and residential sites across a major urban environment, including a gradient of human population density. Bacterial diversity was significantly positively correlated with the population density; and species diversity was greater in park and street soils, compared to residential soils. Population density and greenspace type also led to significant differences in the microbial community composition that was also significantly correlated with soil pH, moisture and texture. Co-occurrence network analysis revealed that microbial guilds in urban soils were well correlated. Abundant soil microbes in high density population areas had fewer interactions, while abundant bacteria in high moisture soils had more interactions. These results indicate the significant influence of changes in urban demographics and land-use on soil microbial communities. As urbanization is rapidly growing across the planet, it is important to improve our understanding of the consequences of urban zoning on the soil microbiota.
    Description: This study is supported by the Earth Microbiome Project (http://www.earthmicrobiome.org/) and the China Scholarship Council (http://en.csc.edu.cn/).
    Description: 2019-04-06
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
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  • 9
    Publication Date: 2022-05-25
    Description: © The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in mSystems 3 (2018): e00167-18, doi:10.1128/mSystems.00167-18.
    Description: Soil bacteria are key to ecosystem function and maintenance of soil fertility. Leveraging associations of current geographic distributions of bacteria with historic climate, we predict that soil bacterial diversity will increase across the majority (∼75%) of the Tibetan Plateau and northern North America if bacterial communities equilibrate with existing climatic conditions. This prediction is possible because the current distributions of soil bacteria have stronger correlations with climate from ∼50 years ago than with current climate. This lag is likely associated with the time it takes for soil properties to adjust to changes in climate. The predicted changes are location specific and differ across bacterial taxa, including some bacteria that are predicted to have reductions in their distributions. These findings illuminate the widespread potential of climate change to influence belowground diversity and the importance of considering bacterial communities when assessing climate impacts on terrestrial ecosystems.
    Description: This work was supported by the Strategic Priority Research Program (XDB15010101, XDA05050404) of the Chinese Academy of Sciences, the National Program on Key Basic Research Project (2014CB954002, 2014CB954004), the National Natural Science Foundation of China (41701298, 41371254), the “135” Plan and Frontiers Projects of Institute of Soil Science (ISSASIP1641), and the National Science and Technology Foundation project (2015FY110100). J.A.G. was supported by the U.S. Dept. of Energy under contract DE-AC02-06CH11357. N.F. was supported by a grant from the National Science Foundation (DEB-0953331). K.S.P. and J.L. were supported by the National Science Foundation (DMS-1069303), the Gordon and Betty Moore Foundation (grant no. 3300), the Gladstone Institutes, and a gift from the San Simeon Fund.
    Keywords: Soil bacterial diversity ; Niche modeling ; Climate change ; Microbial biogeography ; Biogeography ; Diversity ; Soil microbiology
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 10
    Publication Date: 2022-05-25
    Description: © The Author(s), 2012. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Nature Genetics 44 (2012): 121-126, doi:10.1038/ng.1054.
    Description: To make full use of research data, the bioscience community needs to adopt technologies and reward mechanisms that support interoperability and promote the growth of an open 'data commoning' culture. Here we describe the prerequisites for data commoning and present an established and growing ecosystem of solutions using the shared 'Investigation-Study-Assay' framework to support that vision.
    Description: The authors also acknowledge the following funding sources in particular: UK Biotechnology and Biological Sciences Research Council (BBSRC) BB/I000771/1 to S.-A.S. and A.T.; UK BBSRC BB/I025840/1 to S.-A.S.; UK BBSRC BB/I000917/1 to D.F.; EU CarcinoGENOMICS (PL037712) to J.K.; US National Institutes of Health (NIH) 1RC2CA148222-01 to W.H. and the HSCI; US MIRADA LTERS DEB-0717390 and Alfred P. Sloan Foundation (ICoMM) to L.A.-Z.; Swiss Federal Government through the Federal Office of Education and Science (FOES) to L.B. and I.X.; EU Innovative Medicines Initiative (IMI) Open PHACTS 115191 to C.T.E.; US Department of Energy (DOE) DE-AC02- 06CH11357 and Arthur P. Sloan Foundation (2011- 6-05) to J.G.; UK BBSRC SysMO-DB2 BB/I004637/1 and BBG0102181 to C.G.; UK BBSRC BB/I000933/1 to C.S. and J.L.G.; UK MRC UD99999906 to J.L.G.; US NIH R21 MH087336 (National Institute of Mental Health) and R00 GM079953 (National Institute of General Medical Science) to A.L.; NIH U54 HG006097 to J.C. and C.E.S.; Australian government through the National Collaborative Research Infrastructure Strategy (NCRIS); BIRN U24-RR025736 and BioScholar RO1-GM083871 to G.B. and the 2009 Super Science initiative to C.A.S.
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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