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Title Sum-
Institution Dataset ID
     data        files  public Growth rates under low and high temperatures for Emiliania huxleyi in constant and
fluctuating thermal environments
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The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv
attribute NC_GLOBAL acquisition_description String Specific growth rates were calculated using change in fluorescence over time
(verified using cell count data) and the equation
\u03bc=ln[N(T2)/N(T1)]/(T2-T1). Chlorophyll a, total particulate carbon (TPC),
particulate organic carbon (POC),\u00a0 particulate organic nitrogen (PON),
and particulate organic carbon (POP) were filtered onto GF/F filters and
analyzed following the methodology used in Fu et al., 2007. Particulate
inorganic carbon was defined as the difference between TPC and POC after POC
filters had been subjected to concentrated HCl fumes for 24 hours to remove
all inorganic carbon. Calcification, photosynthesis, and carbon fixation rates
were all measured following the procedures outlined in Feng et al., 2008.

All data was processed using either R (v 3.4.4) or Microsoft Excel 2016.\u00a0
attribute NC_GLOBAL awards_0_award_nid String 668546
attribute NC_GLOBAL awards_0_award_number String OCE-1538525
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1538525 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String Michael E. Sieracki
attribute NC_GLOBAL awards_0_program_manager_nid String 50446
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Growth rates under low and high temperatures for E. huxleyi in constant and fluctuating thermal environments
PI: D. Hutchins (USC)
version date: 2019-11-26
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3 19 Dec 2019
attribute NC_GLOBAL dataset_current_state String Final and no updates
attribute NC_GLOBAL date_created String 2019-11-26T14:29:50Z
attribute NC_GLOBAL date_modified String 2020-04-30T12:58:58Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.26008/1912/bco-dmo.782888.1
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/782888 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Turner Fluorometer 10-AU
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 782893
attribute NC_GLOBAL instruments_0_description String The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA)
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Turner Designs Fluorometer 10-AU
attribute NC_GLOBAL instruments_0_instrument_nid String 464
attribute NC_GLOBAL instruments_1_dataset_instrument_description String Used to count cell samples.
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 782920
attribute NC_GLOBAL instruments_1_description String Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB06/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Microscope-Fluorescence
attribute NC_GLOBAL instruments_1_instrument_nid String 695
attribute NC_GLOBAL instruments_1_supplied_name String Olympus BX51 microscope
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, data, dataset, dmo, erddap, growth, Growth_Rate, management, oceanography, office, preliminary, rate, temperature, variation
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/782888/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/782888 (external link)
attribute NC_GLOBAL param_mapping String {'782888': {}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/782888/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of Southern California
attribute NC_GLOBAL people_0_affiliation_acronym String USC
attribute NC_GLOBAL people_0_person_name String David A. Hutchins
attribute NC_GLOBAL people_0_person_nid String 51048
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_1_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_1_person_name String Nancy Copley
attribute NC_GLOBAL people_1_person_nid String 50396
attribute NC_GLOBAL people_1_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_1_role_type String related
attribute NC_GLOBAL project String Environmental variability and phytoplankton growth
attribute NC_GLOBAL projects_0_acronym String Environmental variability and phytoplankton growth
attribute NC_GLOBAL projects_0_description String NSF Award Abstract:
Microscopic plants called phytoplankton are key members of global oceanic ecosystems, since their photosynthesis supports the majority of the marine food chain and produces about as much oxygen as land plants. Because of this, oceanographers have often carried out experiments examining how factors such as temperature and carbon dioxide levels may affect phytoplankton growth. Most previous experiments have used constant levels of temperature and carbon dioxide, but it is clear from looking at measurements from real ocean ecosystems that these two factors often vary greatly over timescales of days to weeks. Using field and laboratory experiments along with computer modeling, this project will test how the growth of several major groups of phytoplankton differs under constant conditions of temperature and carbon dioxide, compared to conditions in which these factors fluctuate in intensity and frequency. This research will give marine scientists a better picture of how phytoplankton may respond to a varying natural environment today and in the future, and therefore help us to understand how ocean food webs function to support critical living resources such as fisheries. The project will train graduate and undergraduate students and a postdoctoral researcher, and the lead scientists will be involved in an ocean science education program for largely minority high school students from a downtown Los Angeles school district.
The goal of this project is to use laboratory culture and natural community experiments to understand how realistically fluctuating temperature and pCO2 conditions may affect globally important phytoplankton groups in ways that differ from the artificial constant exposures used in previous work. Culture experiments will test how the intensity and frequency of short-term thermal and carbonate fluctuations affects the growth responses of diazotrophic and picoplanktonic cyanobacteria, coccolithophores, and diatoms under both current and projected future environmental conditions. These lab results will be supported and extended by parallel experiments using mixed natural assemblages from the California upwelling regime, allowing us to test these same questions using phytoplankton communities that experience large seasonal shifts between highly dynamic thermal and carbonate system conditions during the spring upwelling season, and relatively much more static conditions during fall stratification events. These results will be synthesized using a new generation of numerical models that employ novel approaches to incorporating realistic environmental variations to allow more accurate predictions of phytoplankton responses to a dynamic environment in today's marine ecosystems, and in the future changing ocean.
attribute NC_GLOBAL projects_0_end_date String 2018-11
attribute NC_GLOBAL projects_0_geolocation String laboratory experiment
attribute NC_GLOBAL projects_0_name String How does intensity and frequency of environmental variability affect phytoplankton growth?
attribute NC_GLOBAL projects_0_project_nid String 668547
attribute NC_GLOBAL projects_0_start_date String 2015-12
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String This dataset includes the growth rates under low and high temperatures for E. huxleyi in constant and fluctuating thermal environments. Global warming will be combined with predicted increases in thermal variability in the future surface ocean, but how temperature dynamics will affect phytoplankton biology and biogeochemistry is largely unknown. Here, we examine the responses of the globally important marine coccolithophore Emiliania huxleyi to thermal variations at two frequencies (1 d and 2 d) at low (18.5 \u00b0C) and high (25.5 \u00b0C) mean temperatures. Elevated temperature and thermal variation decreased growth, calcification and physiological rates, both individually and interactively. The 1 d thermal variation frequencies were less inhibitory than 2 d variations under high temperatures, indicating that high-frequency thermal fluctuations may reduce heat-induced mortality and mitigate some impacts of extreme high-temperature events. Cellular elemental composition and calcification was significantly affected by both thermal variation treatments relative to each other and to the constant temperature controls. The negative effects of thermal variation on E. huxleyi growth rate and physiology are especially pronounced at high temperatures. These responses of the key marine calcifier E. huxleyi to warmer, more variable temperature regimes have potentially large implications for ocean productivity and marine biogeochemical cycles under a future changing climate.
attribute NC_GLOBAL title String Growth rates under low and high temperatures for Emiliania huxleyi in constant and fluctuating thermal environments
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.5
variable Growth_Rate   float  
attribute Growth_Rate _FillValue float NaN
attribute Growth_Rate actual_range float -0.5085, 0.942
attribute Growth_Rate bcodmo_name String growth
attribute Growth_Rate description String E. huxleyi growth rate by cell counts
attribute Growth_Rate long_name String Growth Rate
attribute Growth_Rate units String per day
variable Temperature   String  
attribute Temperature bcodmo_name String temperature
attribute Temperature description String treatment temperature
attribute Temperature long_name String Temperature
attribute Temperature nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ (external link)
attribute Temperature units String degrees Celsius
variable variation   String  
attribute variation bcodmo_name String treatment
attribute variation description String temperature variation treatment description
attribute variation long_name String Variation
attribute variation units String unitless

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.

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