BCO-DMO ERDDAP
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Row Type | Variable Name | Attribute Name | Data Type | Value |
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attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt |
attribute | NC_GLOBAL | acquisition_description | String | Environmental Sample Collection\n \n 1. Transfer 1 ml of whole seawater to a 2 ml cryovial.\n \n 2. Add 20 ul of 25% glutaraldehyde for a final concentration of 0.5%.\n \n 3. Incubate at 4 degrees celsius\\u00a0for 30 min.\n \n 4. Flash freeze in liquid N2\\u00a0and store at -80 degrees celsius.\n \nFluorescent DNA staining (for bacterial and viral abundances)\n \n 1. Thaw samples.\n \n 2. To 20 ul of sample, add 980 ul 1X TE buffer with SYBR Gold (see recipe below)\\u00a0\n \n 3. Heat to 80 degrees celsius\\u00a0for 10 min in the dark\n \n 4. Cool at RT for 5 min\n \n 5. Analyze via flow cytometry\n \nAnalysis (for bacterial and viral abundances)\n \nSamples are analyzed on Influx Model 209S Mariner flow cytometer using BD\nSoftware (BD Biosciences).\n \n 1. An initial Forward Scatter (FSC) vs Side Scatter (SSC) configuration is determined using Molecular Probes Flow Cytometry Sub-micron particles size reference kit (Cat#F13839) consisting of 0.02, 0.1, 0.5, 1.0 and 2.0 um fluorescent beads.\n \n 2. A gating hierarchy is established using both beads and previously determined virus and bacteria populations as\\u00a0reference\\u00a0(Sybr Gold Fluorescence versus SSC cytogram).\n \n 3. Samples are analyzed using a 488 nm laser for excitation and a minimum trigger threshold is established using 542/15 nm (SYBR Gold) emission.\n \nAnalysis (for\\u00a0chlorophyll containing\\u00a0cells)\n \nSamples are analyzed on a BD Accuri C6. Fixed, frozen samples are thawed and\nanalyzed immediately.\n \n 1. An initial Forward Scatter (FSC) vs Side Scatter (SSC) configuration is determined using various sized fluorescent beads as reference points (1.0, 2.0, 3.0, 6.0 and 10 um).\n \n 2. Gating is established using both beads and previously determined phytoplankton populations as\\u00a0reference\\u00a0(Chlorophyll Fluorescence versus FSC cytogram).\n \n 3. Samples are analyzed using 488nm laser for excitation and the default BD Accuri threshold (80,000 RFU) on FSC is used.\n \nTE buffer with SYBR Gold recipe\n \n1X TE (for 100\\u00a0mls)\n \n1 ml of 1M Tris, pH 8.0 \n 1 ml of 0.5 mM EDTA \n 98\\u00a0mls\\u00a0MQ water \n Store 4 degrees celsius\n \n1X TE + SYBR Gold (for 10\\u00a0mls)\n \n 1. Filter 10\\u00a0mls\\u00a01 TE buffer, 0.22 um filter\n \n 2. 1:20,0000 dilution of SYBR Gold (Molecular Probes) stock (0.5 ul stock to 10\\u00a0mls\\u00a0TE buffer) |
attribute | NC_GLOBAL | awards_0_award_nid | String | 558197 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1333929 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1333929 |
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 | David L. Garrison |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | awards_1_award_nid | String | 558203 |
attribute | NC_GLOBAL | awards_1_award_number | String | OCE-1334387 |
attribute | NC_GLOBAL | awards_1_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1334387 |
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 | David L. Garrison |
attribute | NC_GLOBAL | awards_1_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Bacteria and Virus Abundance \n and Chlorophyll Containing Particles \n K. Thamatrakoln and M. Brzezinski, PIs \n Version 19 July 2016 |
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 | 2016-07-20T13:46:06Z |
attribute | NC_GLOBAL | date_modified | String | 2019-06-06T15:46:38Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.652223.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -120.81017 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 43.65434 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 34.55467 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -120.81017 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -124.48169 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 1200.0 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 1.0 |
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/652223 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Samples were analyzed on flow cytometer using BD Software (BD Biosciences). Bacterial and viral abundances were analyzed on this flow cytometer. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 652272 |
attribute | NC_GLOBAL | instruments_0_description | String | Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells.\n(from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm) |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB37/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 660 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Influx Model 209S Mariner Flow Cytometer |
attribute | NC_GLOBAL | instruments_1_acronym | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | Chlorophyll containing cells analyzed on this flow cytometer. |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 652273 |
attribute | NC_GLOBAL | instruments_1_description | String | Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells.\n(from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm) |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB37/ |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 660 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | BD Accuri C6 |
attribute | NC_GLOBAL | keywords | String | bacteria, bco, bco-dmo, biological, cast, chemical, chl, chl_total, chlorophyll, cruise, cruise_id, data, dataset, date, date_local, date_utc, depth, dmo, erddap, iso, latitude, local, longitude, management, oceanography, office, preliminary, station, time, time_local, time_utc, total, virus |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/652223/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/652223 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 43.65434 |
attribute | NC_GLOBAL | param_mapping | String | {'652223': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'flag - time'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/652223/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Rutgers University |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | Rutgers IMCS |
attribute | NC_GLOBAL | people_0_person_name | String | Kimberlee Thamatrakoln |
attribute | NC_GLOBAL | people_0_person_nid | String | 558200 |
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 | University of California-Santa Barbara |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | UCSB-LifeSci |
attribute | NC_GLOBAL | people_1_person_name | String | Mark A. Brzezinski |
attribute | NC_GLOBAL | people_1_person_nid | String | 50663 |
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 | Rutgers University |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | Rutgers IMCS |
attribute | NC_GLOBAL | people_2_person_name | String | Kimberlee Thamatrakoln |
attribute | NC_GLOBAL | people_2_person_nid | String | 558200 |
attribute | NC_GLOBAL | people_2_role | String | Contact |
attribute | NC_GLOBAL | people_2_role_type | String | related |
attribute | NC_GLOBAL | people_3_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_3_person_name | String | Hannah Ake |
attribute | NC_GLOBAL | people_3_person_nid | String | 650173 |
attribute | NC_GLOBAL | people_3_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_3_role_type | String | related |
attribute | NC_GLOBAL | project | String | Diatom Silicification |
attribute | NC_GLOBAL | projects_0_acronym | String | Diatom Silicification |
attribute | NC_GLOBAL | projects_0_description | String | Description from NSF award abstract:\nDiatoms, unicellular, eukaryotic photoautotrophs, are among the most ecologically successful and functionally diverse organisms in the ocean. In addition to contributing one-fifth of total global primary productivity, diatoms are also the largest group of silicifying organisms in the ocean. Thus, diatoms form a critical link between the carbon and silicon (Si) cycles. The goal of this project is to understand the molecular regulation of silicification processes in natural diatom populations to better understand the processes controlling diatom productivity in the sea. Through culture studies and two research cruises, this research will couple classical measurements of silicon uptake and silica production with molecular and biochemical analyses of Silicification-Related Gene (SiRG) and protein expression. The proposed cruise track off the West Coast of the US will target gradients in Si and iron (Fe) concentrations with the following goals: 1) Characterize the expression pattern of SiRGs, 2) Correlate SiRG expression patterns to Si concentrations, silicon uptake kinetics, and silica production rates, 3) Develop a method to normalize uptake kinetics and silica production to SiRG expression levels as a more accurate measure of diatom activity and growth, 4) Characterize the diel periodicity of silica production and SiRG expression.\nIt is estimated that diatoms process 240 Teramoles of biogenic silica each year and that each molecule of silicon is cycled through a diatom 39 times before being exported to the deep ocean. Decades of oceanographic and field research have provided detailed insight into the dynamics of silicon uptake and silica production in natural populations, but a molecular understanding of the factors that influence silicification processes is required for further understanding the regulation of silicon and carbon fluxes in the ocean. Characterizing the genetic potential for silicification will provide new information on the factors that regulate the distribution of diatoms and influence in situ rates of silicon uptake and silica production. This research is expected to provide significant information about the molecular regulation of silicification in natural populations and the physiological basis of Si limitation in the sea. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2016-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Oregon/California Coastal Upwelling Zone, between 34-44N and 120-124W |
attribute | NC_GLOBAL | projects_0_name | String | Linking physiological and molecular aspects of diatom silicification in field populations |
attribute | NC_GLOBAL | projects_0_project_nid | String | 558198 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2013-09 |
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 | 34.55467 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | subsetVariables | String | cruise_id |
attribute | NC_GLOBAL | summary | String | Abundance of bacteria viruses and chlorophyll containing cells collected from the R/V Oceanus OC1504A in the Oregon/California Coastal Upwelling Zone, between 34-44N and 120-124W during 2015 |
attribute | NC_GLOBAL | time_coverage_end | String | 2015-05-01T16:46:00Z |
attribute | NC_GLOBAL | time_coverage_start | String | 2015-04-20T02:18:00Z |
attribute | NC_GLOBAL | title | String | [MUSiCC OC1504A - Bacteria Virus and Chlorophyll Containing Cell Abundance] - Abundance of bacteria viruses and chlorophyll containing cells collected from the R/V Oceanus OC1504A in the Oregon/California Coastal Upwelling Zone, between 34-44N and 120-124W during 2015 (Linking physiological and molecular aspects of diatom silicification in field populations) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -124.48169 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | cruise_id | String | ||
attribute | cruise_id | bcodmo_name | String | cruise_id |
attribute | cruise_id | description | String | The name of the cruise that collected these data. |
attribute | cruise_id | long_name | String | Cruise Id |
attribute | cruise_id | units | String | unitless |
variable | station | String | ||
attribute | station | bcodmo_name | String | station |
attribute | station | description | String | consecutive station number |
attribute | station | long_name | String | Station |
attribute | station | units | String | unitless |
variable | cast | String | ||
attribute | cast | bcodmo_name | String | cast |
attribute | cast | description | String | cast number |
attribute | cast | long_name | String | Cast |
attribute | cast | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 34.55467, 43.65434 |
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 |
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 | -124.48169, -120.81017 |
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 |
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 | date_local | String | ||
attribute | date_local | bcodmo_name | String | date_local |
attribute | date_local | description | String | local date of cast; mm-bbb-yy |
attribute | date_local | long_name | String | Date Local |
attribute | date_local | units | String | unitless |
variable | time_local | String | ||
attribute | time_local | bcodmo_name | String | time_local |
attribute | time_local | description | String | local time of cast; HH:MM |
attribute | time_local | long_name | String | Time Local |
attribute | time_local | units | String | unitless |
variable | date_utc | String | ||
attribute | date_utc | bcodmo_name | String | date_utc |
attribute | date_utc | description | String | UTC date of cast; mm-bbb-yy |
attribute | date_utc | long_name | String | Date Utc |
attribute | date_utc | units | String | unitless |
variable | time_utc | String | ||
attribute | time_utc | bcodmo_name | String | time_utc |
attribute | time_utc | description | String | UTC time of cast; HH:MM |
attribute | time_utc | long_name | String | Time Utc |
attribute | time_utc | units | String | unitless |
variable | depth | double | ||
attribute | depth | _CoordinateAxisType | String | Height |
attribute | depth | _CoordinateZisPositive | String | down |
attribute | depth | _FillValue | double | NaN |
attribute | depth | actual_range | double | 1.0, 1200.0 |
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 |
variable | bacteria | float | ||
attribute | bacteria | _FillValue | float | NaN |
attribute | bacteria | actual_range | float | 930000.0, 6290000.0 |
attribute | bacteria | bcodmo_name | String | abundance |
attribute | bacteria | description | String | bacteria-like particle abundance |
attribute | bacteria | long_name | String | Bacteria |
attribute | bacteria | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | bacteria | units | String | bacteria per milliliter |
variable | virus | float | ||
attribute | virus | _FillValue | float | NaN |
attribute | virus | actual_range | float | 2.45E7, 3.11E8 |
attribute | virus | bcodmo_name | String | abundance |
attribute | virus | description | String | virus-like particle abundance (VLP) |
attribute | virus | long_name | String | Virus |
attribute | virus | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | virus | units | String | VLP per milliliter |
variable | chl_total | float | ||
attribute | chl_total | _FillValue | float | NaN |
attribute | chl_total | actual_range | float | 117.0, 12500.0 |
attribute | chl_total | bcodmo_name | String | abundance |
attribute | chl_total | description | String | chlorophyll containing cells |
attribute | chl_total | long_name | String | Chl Total |
attribute | chl_total | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | chl_total | units | String | cells per milliliter |
variable | time | double | ||
attribute | time | _CoordinateAxisType | String | Time |
attribute | time | actual_range | double | 1.42949628E9, 1.43049876E9 |
attribute | time | axis | String | T |
attribute | time | bcodmo_name | String | ISO_DateTime_UTC |
attribute | time | description | String | DateTime (UTC) ISO formatted |
attribute | time | ioos_category | String | Time |
attribute | time | long_name | String | ISO Date Time UTC |
attribute | time | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/ |
attribute | time | source_name | String | ISO_DateTime_UTC |
attribute | time | standard_name | String | time |
attribute | time | time_origin | String | 01-JAN-1970 00:00:00 |
attribute | time | time_precision | String | 1970-01-01T00:00:00Z |
attribute | time | units | String | seconds since 1970-01-01T00:00:00Z |