180,734 research outputs found

    Taxonomy of the fouling cheilostome bryozoans, Schizoporella unicornis, (Johnston) and Schizoporella errata (Waters)

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    Figure 1. (A–D) Images of Wood's Pliocene specimen from the Coralline Crag, Suffolk (NHM B1675) described in Busk (1859). (A) Group of autozooids at growing edge of colony within small bivalve shell. (B) Autozooids exhibiting deep V-shaped sinus. (C) Frontal shield with paired avicularia and deep V-shaped sinus. (D) Detail of primary orifice and sinus. (E, F) Lectotype of Schizoporella unicornis [NHM 1847.16.174 (a)] bleached portion. (E) Group of autozooids at the distal edge of colony with adventitious avicularia, paired, single or absent. (F) Ovicellate autozooids showing radially aligned scalloped grooves. Scale bars: 500 µm (A); 250 µm (B); 100 µm (C, E); 50 µm (D,F).Published as part of Tompsett, Scott, Porter, Joanne S. & Taylor, Paul D., 2009, Taxonomy of the fouling cheilostome bryozoans Schizoporella unicornis (Johnston) and Schizoporella errata (Waters), pp. 2227-2243 in Journal of Natural History 43 (35-36) on page 2231, DOI: 10.1080/00222930903090140, http://zenodo.org/record/521715

    Average seasonal changes in chlorophyll a in Icelandic waters

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    The standard algorithms used to derive sea surface chlorophyll a concentration from remotely sensed ocean colour data are based almost entirely on the measurements of surface water samples collected in open sea (case 1) waters which cover ~60% of the worlds oceans, where strong correlations between reflectance and chlorophyll concentration have been found. However, satellite chlorophyll data for waters outside the defined case 1 areas, but derived using standard calibrations, are frequently used without reference to local in situ measurements and despite well-known factors likely to lead to inaccuracy. In Icelandic waters, multiannual averages of 8-d composites of SeaWiFS chlorophyll concentration accounted for just 20% of the variance in a multiannual dataset of in situ chlorophyll a measurements. Nevertheless, applying penalized regression spline methodology to model the spatial and temporal patterns of in situ measurements, using satellite chlorophyll as one of the predictor variables, improved the correlation considerably. Day number, representing seasonal variation, accounted for substantial deviation between SeaWiFS and in situ estimates of surface chlorophyll. The final model, using bottom depth and bearing to the sampling location as well as the two variables mentioned above, explained 49% of the variance in the fitting dataset

    2D Ising Model MC Data

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    Dataset supporting: Waters, J. M. et al (2017). Identification of Curie temperature distributions in magnetic particulate systems. Journal Of Physics D. Results of Monte Carlo simulations of the 2D Ising model using disordered grains. Subfolders are labelled according to the size or distribution of sizes that are modelled, within those folders are the samples at different temperatures. The first column is magnetisation, the second is energy, the third is number of total spins.</span

    Surveillance of adenoviruses and noroviruses in European recreational waters

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    Exposure to human pathogenic viruses in recreational waters has been shown to cause disease outbreaks. In the context of Article 14 of the revised European Bathing Waters Directive 2006/7/EC (rBWD, CEU, 2006) a Europe-wide surveillance study was carried out to determine the frequency of occurrence of two human enteric viruses in recreational waters. Adenoviruses were selected based on their near-universal shedding and environmental survival, and noroviruses (NoV) selected as being the most prevalent gastroenteritis agent worldwide. Concentration of marine and freshwater samples was done by adsorption/elution followed by molecular detection by (RT)-PCR. Out of 1410 samples, 553 (39.2%) were positive for one or more of the target viruses. Adenoviruses, detected in 36.4% of samples, were more prevalent than noroviruses (9.4%), with 3.5% GI and 6.2% GII, some samples being positive for both GI and GII. Of 513 human adenovirus-positive samples, 63 (12.3%) were also norovirus-positive, whereas 69 (7.7%) norovirus-positive samples were adenovirus-negative. More freshwater samples than marine water samples were virus-positive. Out of a small selection of samples tested for adenovirus infectivity, approximately one-quarter were positive. Sixty percent of 132 nested-PCR adenovirus-positive samples analysed by quantitative PCR gave a mean value of over 3000 genome copies per L of water. The simultaneous detection of infectious adenovirus and of adenovirus and NoV by (RT)PCR suggests that the presence of infectious viruses in recreational waters may constitute a public health risk upon exposure. These studies support the case for considering adenoviruses as an indicator of bathing water quality

    Colorado, by Frank Waters: a review by Norman D. Nevills, October 1947

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    Two versions (5 and 3 pages) of a typescript for a book review by Norman D. Nevills of the book, "The Colorado," by Frank Waters. Nevills praised the book\u27s overall presentation, but offered several corrections on specific details about the river and its tributaries, concluding: "If I seem harsh in my criticism of Mr. Waters, it is because I have lived on these rivers, boated on them, seen them in all their moods-and know them worthy of a proper description.

    Waters, Jim, March 25, 2015 [Interview]

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    Waters remembers his childhood town, family, and his Boy Scout Troop growing up during the Great Depression. He relates the moments leading up to and after Pearl Harbor, and the daily push on the homefront to help the troops overseas. He even explains how he spotted planes overhead and reported them with his mother.Roosevelt, Franklin D.;World War II; Great Depression

    Waters, D H, WX8845

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/424215Surname: WATERS. Given Name(s) or Initials: D H. Military Service Number or Last Known Location: WX8845. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 16446.252078 Item: [2016.0049.56476] "Waters, D H, WX8845

    Waters, B D, 5713981

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/424201Surname: WATERS. Given Name(s) or Initials: B D. Military Service Number or Last Known Location: 5713981. Missing, Wounded and Prisoner of War Enquiry Card Index Number: SEA-2002.252064 Item: [2016.0049.56462] "Waters, B D, 5713981
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