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Title Sum-
Institution Dataset ID
     data   graph     files  public C:N ratios of two heat\u2010tolerant populations of Chaetoceros simplex and control and
ancestral populations, at different temperatures
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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 Chaetoceros simplex cultures, were obtained from population strain CCMP 200
(National Center for Marine Algae and Microbiota, NCMA).

C : N elemental analyses:
We measured the elemental composition of the two 34 \u00b0C\u2010tolerant
populations and the control and ancestral populations, at different
temperatures. From each culture during exponential growth, we filtered
10\u201320 mL duplicate subsamples onto pre\u2010combusted GF/F filters. The
filters were then dried at 60 \u00b0C for 24 h, packed in aluminium tins and
kept in a desiccator. Blanks were 10\u201320 mL of the medium filtered and
processed as other samples. Particulate C and N were measured with a CHN
analyzer (Costech ECS 4010) and ratios were calculated from weight percentage
of each element after the subtraction of the corresponding blank.

More details in Aranguren-Gassis et al. 2019, Ecology Letters.
attribute NC_GLOBAL awards_0_award_nid String 712786
attribute NC_GLOBAL awards_0_award_number String OCE-1638958
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638958 (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 awards_1_award_nid String 712792
attribute NC_GLOBAL awards_1_award_number String OCE-1638804
attribute NC_GLOBAL awards_1_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638804 (external link)
attribute NC_GLOBAL awards_1_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_1_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_1_funding_source_nid String 355
attribute NC_GLOBAL awards_1_program_manager String Michael E. Sieracki
attribute NC_GLOBAL awards_1_program_manager_nid String 50446
attribute NC_GLOBAL awards_2_award_nid String 712795
attribute NC_GLOBAL awards_2_award_number String OCE-1638834
attribute NC_GLOBAL awards_2_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638834 (external link)
attribute NC_GLOBAL awards_2_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_2_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_2_funding_source_nid String 355
attribute NC_GLOBAL awards_2_program_manager String Michael E. Sieracki
attribute NC_GLOBAL awards_2_program_manager_nid String 50446
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String C:N ratios
of two 34C-tolerant populations of Chaetoceros simplex and control and ancestral populations, at different temperatures.
P.I.'s: M. Aranguren-Gassis (U. Vigo), E. Litchman (MSU), C. Klausmeier (MSU)
version date: 2019-10-07
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 date_created String 2019-10-09T17:22:11Z
attribute NC_GLOBAL date_modified String 2019-10-30T17:29:25Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.778926.1
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/778926 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String CHN_EA
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 778941
attribute NC_GLOBAL instruments_0_description String A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.
attribute NC_GLOBAL instruments_0_instrument_name String CHN Elemental Analyzer
attribute NC_GLOBAL instruments_0_instrument_nid String 625
attribute NC_GLOBAL instruments_0_supplied_name String CHN analyzer (Costech ECS 4010)
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, CN_ratio, data, dataset, dmo, erddap, management, oceanography, office, preliminary, ratio, temperature, treatment
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/778926/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/778926 (external link)
attribute NC_GLOBAL param_mapping String {'778926': {}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/778926/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String Michigan State University
attribute NC_GLOBAL people_0_affiliation_acronym String MSU
attribute NC_GLOBAL people_0_person_name String Elena Litchman
attribute NC_GLOBAL people_0_person_nid String 543190
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 Michigan State University
attribute NC_GLOBAL people_1_affiliation_acronym String MSU
attribute NC_GLOBAL people_1_person_name String Christopher Klausmeier
attribute NC_GLOBAL people_1_person_nid String 543192
attribute NC_GLOBAL people_1_role String Co-Principal Investigator
attribute NC_GLOBAL people_1_role_type String originator
attribute NC_GLOBAL people_2_affiliation String Michigan State University
attribute NC_GLOBAL people_2_affiliation_acronym String MSU
attribute NC_GLOBAL people_2_person_name String Colin T. Kremer
attribute NC_GLOBAL people_2_person_nid String 779889
attribute NC_GLOBAL people_2_role String Scientist
attribute NC_GLOBAL people_2_role_type String originator
attribute NC_GLOBAL people_3_affiliation String Universidad de Vigo
attribute NC_GLOBAL people_3_person_name String Maria Aranguren-Gassis
attribute NC_GLOBAL people_3_person_nid String 778758
attribute NC_GLOBAL people_3_role String Contact
attribute NC_GLOBAL people_3_role_type String related
attribute NC_GLOBAL people_4_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_4_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_4_person_name String Nancy Copley
attribute NC_GLOBAL people_4_person_nid String 50396
attribute NC_GLOBAL people_4_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_4_role_type String related
attribute NC_GLOBAL project String Phytoplankton Community Responses
attribute NC_GLOBAL projects_0_acronym String Phytoplankton Community Responses
attribute NC_GLOBAL projects_0_description String NSF Award Abstract:
Photosynthetic marine microbes, phytoplankton, contribute half of global primary production, form the base of most aquatic food webs and are major players in global biogeochemical cycles. Understanding their community composition is important because it affects higher trophic levels, the cycling of energy and elements and is sensitive to global environmental change. This project will investigate how phytoplankton communities respond to two major global change stressors in aquatic systems: warming and changes in nutrient availability. The researchers will work in two marine systems with a long history of environmental monitoring, the temperate Narragansett Bay estuary in Rhode Island and a subtropical North Atlantic site near Bermuda. They will use field sampling and laboratory experiments with multiple species and varieties of phytoplankton to assess the diversity in their responses to different temperatures under high and low nutrient concentrations. If the diversity of responses is high within species, then that species may have a better chance to adapt to rising temperatures and persist in the future. Some species may already be able to grow at high temperatures; consequently, they may become more abundant as the ocean warms. The researchers will incorporate this response information in mathematical models to predict how phytoplankton assemblages would reorganize under future climate scenarios. Graduate students and postdoctoral associates will be trained in diverse scientific approaches and techniques such as shipboard sampling, laboratory experiments, genomic analyses and mathematical modeling. The results of the project will be incorporated into K-12 teaching, including an advanced placement environmental science class for underrepresented minorities in Los Angeles, data exercises for rural schools in Michigan and disseminated to the public through an environmental journalism institute based in Rhode Island.
Predicting how ecological communities will respond to a changing environment requires knowledge of genetic, phylogenetic and functional diversity within and across species. This project will investigate how the interaction of phylogenetic, genetic and functional diversity in thermal traits within and across a broad range of species determines the responses of marine phytoplankton communities to rising temperature and changing nutrient regimes. High genetic and functional diversity within a species may allow evolutionary adaptation of that species to warming. If the phylogenetic and functional diversity is higher across species, species sorting and ecological community reorganization is likely. Different marine sites may have a different balance of genetic and functional diversity within and across species and, thus, different contribution of evolutionary and ecological responses to changing climate. The research will be conducted at two long-term time series sites in the Atlantic Ocean, the Narragansett Bay Long-Term Plankton Time Series and the Bermuda Atlantic Time Series (BATS) station. The goal is to assess intra- and inter-specific genetic and functional diversity in thermal responses at contrasting nutrient concentrations for a representative range of species in communities at the two sites in different seasons, and use this information to parameterize eco-evolutionary models embedded into biogeochemical ocean models to predict responses of phytoplankton communities to projected rising temperatures under realistic nutrient conditions. Model predictions will be informed by and tested with field data, including the long-term data series available for both sites and in community temperature manipulation experiments. This project will provide novel information on existing intraspecific genetic and functional thermal diversity for many ecologically and biogeochemically important phytoplankton species, estimate generation of new genetic and functional diversity in evolution experiments, and develop and parameterize novel eco-evolutionary models interfaced with ocean biogeochemical models to predict future phytoplankton community structure. The project will also characterize the interaction of two major global change stressors, warming and changing nutrient concentrations, as they affect phytoplankton diversity at functional, genetic, and phylogenetic levels. In addition, the project will develop novel modeling methodology that will be broadly applicable to understanding how other types of complex ecological communities may adapt to a rapidly warming world.
attribute NC_GLOBAL projects_0_end_date String 2020-09
attribute NC_GLOBAL projects_0_geolocation String Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS)
attribute NC_GLOBAL projects_0_name String Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
attribute NC_GLOBAL projects_0_project_nid String 712787
attribute NC_GLOBAL projects_0_start_date String 2016-10
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 C:N ratios of the two 34C\u2010tolerant populations of Chaetoceros simplex and control and ancestral populations, at different temperatures.
attribute NC_GLOBAL title String C:N ratios of two heat\u2010tolerant populations of Chaetoceros simplex and control and ancestral populations, at different temperatures
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable treatment   String  
attribute treatment bcodmo_name String treatment
attribute treatment description String Experimental treatment: Evolved = populations raised 34C; Control = populations maintained at 25C
attribute treatment long_name String Treatment
attribute treatment units String unitless
variable Temperature   byte  
attribute Temperature _FillValue byte 127
attribute Temperature actual_range byte 20, 35
attribute Temperature bcodmo_name String temperature
attribute Temperature description String Culture maintenance 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 Celsius degrees
variable CN_ratio   float  
attribute CN_ratio _FillValue float NaN
attribute CN_ratio actual_range float 5.0, 7.0
attribute CN_ratio bcodmo_name String C_to_N
attribute CN_ratio description String Carbon:Nitrogen ratio
attribute CN_ratio long_name String CN Ratio
attribute CN_ratio units String percent

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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