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  • Column liquid chromatography
  • Lepidoptera
  • Rat
  • temperature
  • Springer  (3,791)
  • Wiley-Blackwell  (93)
  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (7)
  • Rockport, TX  (2)
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  • 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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    Texas Game and Fish Commission Marine Laboratory | Rockport, TX
    In:  http://aquaticcommons.org/id/eprint/14207 | 9596 | 2020-08-23 22:50:08 | 14207 | Galveston Bay Information Collection
    Publication Date: 2021-06-24
    Description: In order to obtain information on the characteristics of water and climate that prevail in Galveston Bay, East Bay, and West Bay, established stations were sampled regularly. Information derived from samples included water temperature and salinity. Additional information of this nature was derived from other bay studies. Information on river flow, air temperature and wind were derived from publications. Water temperatures were found to follow air temperatures closely. The prevailing winds in all but two months were on-shore winds. Salinities were found to vary inversely with the volume of fresh water entering the bays from the Trinity River. West Bay, due to its locations, is affected less than the other bays by fresh water from the Trinity River. Vertical and horizontal salinity gradients were found to be the normal pattern in East Bay and Galveston Bay. West Bay, with two major passes to the Gulf of Mexico and with no major source of fresh water, normally maintained higher salinities than the other bays.
    Keywords: Chemistry ; Oceanography ; GBIC ; hydrography ; meteorology ; salinity gradients ; temperature ; salinity ; water sampling
    Repository Name: AquaDocs
    Type: book_section
    Format: application/pdf
    Format: application/pdf
    Format: 7
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  • 3
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    Texas Game and Fish Commission | Rockport, TX
    In:  http://aquaticcommons.org/id/eprint/14200 | 9596 | 2020-08-31 20:32:04 | 14200 | Galveston Bay Information Collection
    Publication Date: 2021-06-24
    Description: Hydrographic data as gathered in the field and climatogical data as taken from publications are presented in this report. Air and water temperatures varied little from previous studies. Salinities were found to be higher than in the previous study. This was caused by reduced rainfall and the resulting decrease in fresh water flow from rivers.
    Keywords: Oceanography ; hydrography ; meteorology ; hydrographic data ; climatic data ; temperature ; salinity
    Repository Name: AquaDocs
    Type: book_section
    Format: application/pdf
    Format: application/pdf
    Format: 7
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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: 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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  • 5
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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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  • 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 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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  • 7
    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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  • 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 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
    Type: Dataset
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  • 9
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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
    Type: Dataset
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  • 10
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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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