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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
set | data | graph | files | public | [Synechococcus accessions] - NCBI accessions for raw genomic sequence data of 11 new isolates of marine Synechococcus from Naragansett Bay, July 2017 (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients) | F I M | background | BCO-DMO | bcodmo_dataset_782301 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson |
attribute | NC_GLOBAL | acquisition_description | String | Natural seawater was enriched for photoautotrophs and split into multiple temperatures for two weeks. After the enrichment period, Synechococcus was isolated from each temperature. Each isolate's thermal niche was measured through a series of lab experiments and sequenced. The culture of each isolate was filtered onto 0.22 um PES filters and genomic DNA extracted using Qiagen\u2019s (CA) DNeasy Power Soil Extraction kit. Sequencing was done by Novogene (Beijing, China) on an Illumina 1500 making 2x150 pe reads. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 712792 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1638804 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638804 |
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 | Synechococcus accessions NCBI accessions for genomic sequence data of 11 new isolates of marine Synechococcus PI: D. Hutchins (USC) version date: 2019-11-20 |
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/ |
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 | 2019-11-21T13:15:23Z |
attribute | NC_GLOBAL | date_modified | String | 2020-03-09T12:47:21Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.782301.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -71.4 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 41.47 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 41.47 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -71.4 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -71.4 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 0.0 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 0.0 |
attribute | NC_GLOBAL | geospatial_vertical_positive | String | down |
attribute | NC_GLOBAL | geospatial_vertical_units | String | m |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/782301 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Automated Sequencer |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Sequencing was done by Novogene (Beijing, China) on an Illumina 1500 making 2x150 pe reads. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 782307 |
attribute | NC_GLOBAL | instruments_0_description | String | General term for a laboratory instrument used for deciphering the order of bases in a strand of DNA. Sanger sequencers detect fluorescence from different dyes that are used to identify the A, C, G, and T extension reactions. Contemporary or Pyrosequencer methods are based on detecting the activity of DNA polymerase (a DNA synthesizing enzyme) with another chemoluminescent enzyme. Essentially, the method allows sequencing of a single strand of DNA by synthesizing the complementary strand along it, one base pair at a time, and detecting which base was actually added at each step. |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Automated DNA Sequencer |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 649 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Illumina 1500 |
attribute | NC_GLOBAL | keywords | String | accession, bco, bco-dmo, biological, chemical, data, dataset, depth, dmo, erddap, isolate, latitude, longitude, management, name, oceanography, office, organism, preliminary, sample, Sample_Name, spuid, tax, Tax_ID |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/782301/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/782301 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 41.47 |
attribute | NC_GLOBAL | param_mapping | String | {'782301': {'Lat': 'flag - latitude', 'Depth': 'flag - depth', 'Long': 'flag - longitude'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/782301/parameters |
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 | 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 | Southernmost_Northing | double | 41.47 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | subsetVariables | String | Organism,Tax_ID,latitude,longitude,depth |
attribute | NC_GLOBAL | summary | String | NCBI accessions for raw genomic sequence data of 11 new isolates of marine Synechococcus from Naragansett Bay. |
attribute | NC_GLOBAL | title | String | [Synechococcus accessions] - NCBI accessions for raw genomic sequence data of 11 new isolates of marine Synechococcus from Naragansett Bay, July 2017 (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -71.4 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.5 |
variable | Accession | String | ||
attribute | Accession | bcodmo_name | String | accession number |
attribute | Accession | description | String | NCBI accession number |
attribute | Accession | long_name | String | Accession |
attribute | Accession | units | String | unitless |
variable | Sample_Name | String | ||
attribute | Sample_Name | bcodmo_name | String | sample |
attribute | Sample_Name | description | String | sample description |
attribute | Sample_Name | long_name | String | Sample Name |
attribute | Sample_Name | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | Sample_Name | units | String | unitless |
variable | SPUID | String | ||
attribute | SPUID | bcodmo_name | String | sample |
attribute | SPUID | description | String | sample description |
attribute | SPUID | long_name | String | SPUID |
attribute | SPUID | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | SPUID | units | String | unitless |
variable | Organism | String | ||
attribute | Organism | bcodmo_name | String | taxon |
attribute | Organism | description | String | taxonomic genus of sample |
attribute | Organism | long_name | String | Organism |
attribute | Organism | units | String | unitless |
variable | Tax_ID | short | ||
attribute | Tax_ID | _FillValue | short | 32767 |
attribute | Tax_ID | actual_range | short | 1129, 1129 |
attribute | Tax_ID | bcodmo_name | String | taxon_code |
attribute | Tax_ID | description | String | taxonomic identifier code |
attribute | Tax_ID | long_name | String | Tax ID |
attribute | Tax_ID | units | String | unitless |
variable | Isolate | String | ||
attribute | Isolate | bcodmo_name | String | taxon_code |
attribute | Isolate | description | String | isolate identifier |
attribute | Isolate | long_name | String | Isolate |
attribute | Isolate | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 41.47, 41.47 |
attribute | latitude | axis | String | Y |
attribute | latitude | bcodmo_name | String | latitude |
attribute | latitude | colorBarMaximum | double | 90.0 |
attribute | latitude | colorBarMinimum | double | -90.0 |
attribute | latitude | description | String | latitude of sample collection; north is positive |
attribute | latitude | ioos_category | String | Location |
attribute | latitude | long_name | String | Latitude |
attribute | latitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LATX/ |
attribute | latitude | standard_name | String | latitude |
attribute | latitude | units | String | degrees_north |
variable | longitude | double | ||
attribute | longitude | _CoordinateAxisType | String | Lon |
attribute | longitude | _FillValue | double | NaN |
attribute | longitude | actual_range | double | -71.4, -71.4 |
attribute | longitude | axis | String | X |
attribute | longitude | bcodmo_name | String | longitude |
attribute | longitude | colorBarMaximum | double | 180.0 |
attribute | longitude | colorBarMinimum | double | -180.0 |
attribute | longitude | description | String | longitude of sample collection; north is positive |
attribute | longitude | ioos_category | String | Location |
attribute | longitude | long_name | String | Longitude |
attribute | longitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LONX/ |
attribute | longitude | source_name | String | Long |
attribute | longitude | standard_name | String | longitude |
attribute | longitude | units | String | degrees_east |
variable | depth | double | ||
attribute | depth | _CoordinateAxisType | String | Height |
attribute | depth | _CoordinateZisPositive | String | down |
attribute | depth | _FillValue | double | NaN |
attribute | depth | actual_range | double | 0.0, 0.0 |
attribute | depth | axis | String | Z |
attribute | depth | bcodmo_name | String | depth |
attribute | depth | colorBarMaximum | double | 8000.0 |
attribute | depth | colorBarMinimum | double | -8000.0 |
attribute | depth | colorBarPalette | String | TopographyDepth |
attribute | depth | description | String | depth of sample collection |
attribute | depth | ioos_category | String | Location |
attribute | depth | long_name | String | Depth |
attribute | depth | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ |
attribute | depth | positive | String | down |
attribute | depth | standard_name | String | depth |
attribute | depth | units | String | m |
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.