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  • Drosophila  (737)
  • temperature  (705)
  • Springer  (1,432)
  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (7)
  • 1
    Keywords: Assessment ; Malaria ; Public Health ; Scale ; Weather ; climate change ; public health policy ; temperature
    Description / Table of Contents: Awareness that many key aspects of public health are strongly influenced by climate is growing dramatically, driven by new research and experience and fears of climate change and the research needed to underpin policy developments in area is growing rapidly . This awareness has yet to translate into a practical use of climate knowledge by health policy-makers. Evidence based policy and practice is the mantra of the health sector. If climate scientists are to contribute effectively to health policy at local and global scales then careful empirical studies must be undertaken – focused on the needs of the public health policy and decision-makers. Results presented at the Wengen conference make clear that the science and art of integrating climate knowledge into the control of climate sensitive diseases on a year to year time frame as well as careful assessments of the potential impacts of climate change on health outcomes over longer time frames is advancing rapidly on many fronts. This includes advances in the empirical understanding of mechanisms, methodologies for modeling future impacts, new partnership developments between the health and climate community along with access to relevant data resources, and education and training. In a rapidly evolving field this book provides a snapshot of these emerging themes.
    Pages: Online-Ressource (X, 232 pages)
    ISBN: 9781402068775
    Language: English
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  • 2
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Diatom TPC parameters
    Description: Thermal niche, as calculated from the Thermal Performance Curve (TPC), across three light levels for seven strains of a marine diatom Chaetoceros sp. isolated from Narragansett Bay March 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/782839
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1638804
    Keywords: Chaetoceros ; Psychrophile ; Light Sensitivity ; Eppley-Norberg Curve ; temperature ; Narragansett Bay
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Synechococcus growth rates
    Description: Growth rates across temperatures for 11 new isolates of marine Synechococcus from Narragansett Bay, July 2017. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/782314
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1638804
    Keywords: Whole Genome Sequencing ; Synechococcus ; Subcluster 5.2 ; Estuary ; Narragansett Bay ; Eppley-Norberg Curve ; temperature
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Synechococcus TPC parameters
    Description: The thermal niche, as calculated from the Thermal Performance Curve (TPC), for each of 11 new isolates of marine Synechococcus from Narragansett Bay, July 2017. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/782308
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1638804
    Keywords: Whole Genome Sequencing ; Synechococcus ; Subcluster 5.2 ; Estuary ; Narragansett Bay ; Eppley-Norberg Curve ; temperature
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
    Publication Date: 2022-05-26
    Description: Dataset: Diatom growth rates
    Description: Growth rates for seven strains of a marine Chaetoceros sp. isolated from Narragansett Bay March 2018. Growth was measured across six to seven temperatures and three light intensities for each strain For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/782814
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1638804
    Keywords: Chaetoceros ; Psychrophile ; Light Sensitivity ; Eppley-Norberg Curve ; temperature ; Narragansett Bay
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Synechococcus fluorescence emission spectra
    Description: Fluorescence spectra from 600-700nm at 530nm excitation for 3 strains of Synechococcus while increasing temperatures to detect the photosystem components disassociation temperature. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/782322
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1638804
    Keywords: Whole Genome Sequencing ; Synechococcus ; Subcluster 5.2 ; Estuary ; Narragansett Bay ; Eppley-Norberg Curve ; temperature
    Repository Name: Woods Hole Open Access Server
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  • 7
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-02
    Description: Dataset: SAB CTD Profiles for STP, DO, pH
    Description: Vertical profiles of depth, conductivity, salinity, temperature, pH, and dissolved O2 were measured on selected dates from 7 June 2018 to 10 August 2021 in nearshore shelf waters off Charleston, SC. The survey area was located in the region of 32° 42’ N, 79° 50’ W and 32° 51’ N, 79° 09’W. Profiles were obtained using a YSI 6820 sonde deployed by hand. These data were used to map the physical structure of the water column and assess inputs of groundwater effects on phytoplankton and benthic microalgae. Results may be of interest to others conducting research projects off Charleston, SC. Data were collected and interpreted by Jay Pinckney at the University of South Carolina, Columbia, SC. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/882177
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736557
    Keywords: water quality ; salinity ; temperature ; depth ; South Atlantic Bight
    Repository Name: Woods Hole Open Access Server
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  • 8
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-26
    Description: Dataset: Synechococcus accessions
    Description: NCBI accessions for raw genomic sequence data of 11 new isolates of marine Synechococcus from Naragansett Bay. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/782301
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1638804
    Keywords: Whole Genome Sequencing ; Synechococcus ; Subcluster 5.2 ; Estuary ; Narragansett Bay ; Eppley-Norberg Curve ; temperature
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Journal of ornithology 140 (1999), S. 81-86 
    ISSN: 1439-0361
    Keywords: Reed Warbler ; timing of breeding ; spring arrival ; global climate change ; temperature
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Description / Table of Contents: Zusammenfassung In einem Untersuchungsgebiet am westlichen Bodensee (Halbinsel Mettnau) zeichnet sich zwischen 1976 und 1997 eine deutliche Zunahme früh ausgeflogener Teichrohrsänger ab, was auf ein früheres Brüten schließen läßt. Weiterhin hat sich die Erstankunft des Teichrohrsängers am Bodensee in den letzten 16 Jahren (1982–1997) im Vergleich zum Zeitraum 1961 bis 1980 um genau eine Woche verfrüht (im Mittel vom 26.4. auf den 19.4.). Während sich zwischen der jährlichen Erstankunft des Teichrohrsängers am Bodensee und der Zahl früh ausgeflogener Jungvögel kein statistisch gesicherter Zusammenhang finden läßt, ist die Temperatur in der ersten Maihälfte ein guter (statistisch signifikanter) Indikator für die Zahl früh ausgeflogener Teichrohrsänger. Die vorliegende Untersuchung zeigt, daß sich offenbar auch Langstreckenzieher an die sich abzeichnende Klimaveränderung anzupassen beginnen.
    Notes: Summary Data from a standardized mist-netting programme (the so-called "MRI-Programm") were used to assess the timing of breeding in Reed Warblers (Acrocephalus scirpaceus) at Lake Constance (South Germany). The number of Reed Warblers fledged early in the season increased significantly between 1976 and 1997 (rs=0.614; p〈0.01). This is most probably due to a long-term increase in spring temperature as suggested by the high correlation between the number of early-fledged Reed Warblers and mean temperature in the first half of May (rs=0.416; p〈0.01). While in the period from 1961 to 1980 the mean date of spring arrival was on the 26th of April, it shifted towards the 19th April from 1981 to 1997. However, the number of early-fledged Reed Warblers and the date of spring arrival are not significantly correlated. The lack of a significant correlation may be due to a number of reasons, for instance early arriving birds do not belong to the local population or there could be an observational bias among years. Yet, the most likely explanation is that the timing of breeding in Reed Warblers is triggered by vegetation growth and food supply rather than by the timing of spring arrival. There is growing body of evidence from this and other studies that the recent climate change is responsible for the shift in both the timing of migration and breeding in birds.
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Colloid & polymer science 263 (1985), S. 454-461 
    ISSN: 1435-1536
    Keywords: Impregnation ; void ; liquid ; fabric ; temperature
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract Under the condition that liquid epoxy resin impregnation was through polyester non-woven fabric sheets, sandwiched between two circular glass plates, the increase in gas pressure caused by decrease in the volume of non-impregnating area was not as much as expected according to Boyle's law. Hence, the quantity of the gas consumed by dissolution and diffusion into the liquid resin and the polyester fibers, as well as by the void formation in the impregnating area of liquid resin, was calculated. According to the results, the quantities of gas decreased by dissolution and diffusion from the non-impregnating area into the impregnating liquid resin and into the polyester fiber are found to be so small that the deviation from Boyle's law mostly depends on the gas consumption due to the void formation in the impregnating area. Observing the impregnating region with a microscope, many voids were found in the area between the non-impregnating area and the completely impregnated area. The number and size of voids are theoretically estimated by assuming the non-uniformity of the fiber distribution in the polyester non-woven fabric.
    Type of Medium: Electronic Resource
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