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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 |
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data | graph | files | public | [CTD Biogenic Silica] - Biogenic silica concentrations collected from CTD casts during RVIB Nathaniel B. Palmer cruise in the Ross Sea, Southern Ocean from 2017-2018 (Collaborative Research: Cobalamin and Iron Co-Limitation Of Phytoplankton Species in Terra Nova Bay) | F I M | background | BCO-DMO | bcodmo_dataset_780191 |
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 | Water was collected from varying depths in the photic zone using a CTD. Samples were collected by gentle filtration under low vacuum through 0.6um polycarbonate filters. Filters were placed in glassine envelopes and dried at 65\u00b0C for approximately 24h. For analysis, filters were extracted in 0.2N NaOH for 45 minutes at 95\u00b0C. Samples were placed on ice and neutralized with 1N HCl to stop the extraction. Concentrations of silicic acid were determined using the colorimetric method described in Strickland and Parsons, 1972. Precautions were made keep samples contaminant-free, by using plasticware and MilliQ water. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 774950 |
attribute | NC_GLOBAL | awards_0_award_number | String | OPP-1644073 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1644073 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Office of Polar Programs (formerly NSF PLR) |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OPP |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 713360 |
attribute | NC_GLOBAL | awards_0_program_manager | String | Jennifer Burns |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50508 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Biogenic silica PI: Giacomo DiTullio Data Version 1: 2019-10-30 |
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 | date_created | String | 2019-10-30T18:15:56Z |
attribute | NC_GLOBAL | date_modified | String | 2019-11-14T10:25:28Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.780191.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | 178.1814 |
attribute | NC_GLOBAL | geospatial_lat_max | double | -72.4482 |
attribute | NC_GLOBAL | geospatial_lat_min | double | -78.6294 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | 178.1814 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -173.5369 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 1550.0 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 5.0 |
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/780191 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | UV Spectrophotometer-Shimadzu |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | A Shimadzu UV-1601 spectrophotometer was used to measure the absorbance of silica standards and samples. A set of seven standards were run with each set of samples and the resulting standard curve was used to quantify the concentration of biogenic silica. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 780224 |
attribute | NC_GLOBAL | instruments_0_description | String | The Shimadzu UV Spectrophotometer is manufactured by Shimadzu Scientific Instruments (ssi.shimadzu.com). Shimadzu manufacturers several models of spectrophotometer; refer to dataset for make/model information. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB20/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | UV Spectrophotometer-Shimadzu |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 595 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Shimadzu UV-1601 spectrophotometer |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, bsi, chemical, data, dataset, date, depth, depth2, dmo, erddap, fltr, Fltr_Vol, latitude, longitude, management, niskin, oceanography, office, preliminary, sample, station, time, vol |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/780191/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/780191 |
attribute | NC_GLOBAL | Northernmost_Northing | double | -72.4482 |
attribute | NC_GLOBAL | param_mapping | String | {'780191': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/780191/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | College of Charleston |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | CofC |
attribute | NC_GLOBAL | people_0_person_name | String | Giacomo DiTullio |
attribute | NC_GLOBAL | people_0_person_nid | String | 50689 |
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 | College of Charleston |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | CofC |
attribute | NC_GLOBAL | people_1_person_name | String | Peter Lee |
attribute | NC_GLOBAL | people_1_person_nid | String | 516649 |
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 | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_2_person_name | String | Karen Soenen |
attribute | NC_GLOBAL | people_2_person_nid | String | 748773 |
attribute | NC_GLOBAL | people_2_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_2_role_type | String | related |
attribute | NC_GLOBAL | project | String | CICLOPS |
attribute | NC_GLOBAL | projects_0_acronym | String | CICLOPS |
attribute | NC_GLOBAL | projects_0_description | String | NSF abstract: Phytoplankton blooms in the coastal waters of the Ross Sea, Antarctica are typically dominated by either diatoms or Phaeocystis Antarctica (a flagellated algae that often can form large colonies in a gelatinous matrix). The project seeks to determine if an association of bacterial populations with Phaeocystis antarctica colonies can directly supply Phaeocystis with Vitamin B12, which can be an important co-limiting micronutrient in the Ross Sea. The supply of an essential vitamin coupled with the ability to grow at lower iron concentrations may put Phaeocystis at a competitive advantage over diatoms. Because Phaeocystis cells can fix more carbon than diatoms and Phaeocystis are not grazed as efficiently as diatoms, the project will help in refining understanding of carbon dynamics in the region as well as the basis of the food web webs. Such understanding also has the potential to help refine predictive ecological models for the region. The project will conduct public outreach activities and will contribute to undergraduate and graduate research. Engagement of underrepresented students will occur during summer student internships. A collaboration with Italian Antarctic researchers, who have been studying the Terra Nova Bay ecosystem since the 1980s, aims to enhance the project and promote international scientific collaborations. The study will test whether a mutualistic symbioses between attached bacteria and Phaeocystis provides colonial cells a mechanism for alleviating chronic Vitamin B12 co-limitation effects thereby conferring them with a competitive advantage over diatom communities. The use of drifters in a time series study will provide the opportunity to track in both space and time a developing algal bloom in Terra Nova Bay and to determine community structure and the physiological nutrient status of microbial populations. A combination of flow cytometry, proteomics, metatranscriptomics, radioisotopic and stable isotopic labeling experiments will determine carbon and nutrient uptake rates and the role of bacteria in mitigating potential vitamin B12 and iron limitation. Membrane inlet and proton transfer reaction mass spectrometry will also be used to estimate net community production and release of volatile organic carbon compounds that are climatically active. Understanding how environmental parameters can influence microbial community dynamics in Antarctic coastal waters will advance an understanding of how changes in ocean stratification and chemistry could impact the biogeochemistry and food web dynamics of Southern Ocean ecosystems. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2020-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Amundsen Sea, Ross Sea, Terra Nova Bay |
attribute | NC_GLOBAL | projects_0_name | String | Collaborative Research: Cobalamin and Iron Co-Limitation Of Phytoplankton Species in Terra Nova Bay |
attribute | NC_GLOBAL | projects_0_project_nid | String | 774945 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2017-09 |
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 | -78.6294 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Biogenic silica concentrations collected from CTD casts during RVIB Nathaniel B. Palmer cruise in the Ross Sea, Southern Ocean from 2017-2018 |
attribute | NC_GLOBAL | title | String | [CTD Biogenic Silica] - Biogenic silica concentrations collected from CTD casts during RVIB Nathaniel B. Palmer cruise in the Ross Sea, Southern Ocean from 2017-2018 (Collaborative Research: Cobalamin and Iron Co-Limitation Of Phytoplankton Species in Terra Nova Bay) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -173.5369 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Date | String | ||
attribute | Date | bcodmo_name | String | date |
attribute | Date | description | String | Date in UTC - format: YYY-MM-DD |
attribute | Date | long_name | String | Date |
attribute | Date | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ |
attribute | Date | source_name | String | Date |
attribute | Date | time_precision | String | 1970-01-01 |
attribute | Date | units | String | unitless |
variable | Station | String | ||
attribute | Station | bcodmo_name | String | station |
attribute | Station | description | String | Station Identifier - Two sets of samples were labeled “Station 52” but were collected from different CTD casts. To clarify this samples from the second cast at station 52 were labeled 52_CTD 53. |
attribute | Station | long_name | String | Station |
attribute | Station | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | -78.6294, -72.4482 |
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 - South is negative |
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 | -173.5369, 178.1814 |
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 - West is negative |
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 | 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 | 5.0, 1550.0 |
attribute | depth | axis | String | Z |
attribute | depth | bcodmo_name | String | depth |
attribute | depth | description | String | Sample depth |
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 |
variable | Niskin | String | ||
attribute | Niskin | bcodmo_name | String | bot_Nis |
attribute | Niskin | description | String | Niskin Bottle Identifier |
attribute | Niskin | long_name | String | Niskin |
attribute | Niskin | units | String | unitless |
variable | Sample | byte | ||
attribute | Sample | _FillValue | byte | 127 |
attribute | Sample | actual_range | byte | 1, 9 |
attribute | Sample | bcodmo_name | String | sample |
attribute | Sample | description | String | Sample number |
attribute | Sample | long_name | String | Sample |
attribute | Sample | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | Sample | units | String | unitless |
variable | Fltr_Vol | float | ||
attribute | Fltr_Vol | _FillValue | float | NaN |
attribute | Fltr_Vol | actual_range | float | 0.15, 1.06 |
attribute | Fltr_Vol | bcodmo_name | String | vol_filt |
attribute | Fltr_Vol | description | String | Volume filtered |
attribute | Fltr_Vol | long_name | String | Fltr Vol |
attribute | Fltr_Vol | units | String | liter (l) |
variable | Bsi | float | ||
attribute | Bsi | _FillValue | float | NaN |
attribute | Bsi | actual_range | float | 0.04, 13.69 |
attribute | Bsi | bcodmo_name | String | Si_bio |
attribute | Bsi | description | String | Concentration of biogenic silica |
attribute | Bsi | long_name | String | Bsi |
attribute | Bsi | units | String | micromole (µM) |
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.