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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 | This data set is associated with PI Douglas Bartlett (NSF OCE-1536776) and\nSchmidt Ocean Institute R/V Falkor cruise FK141215. The cruise occurred\nDecember 15-21, 2014 in the Challenger Deep within the territorial waters of\nthe Federated States of Micronesia. During this cruise the Leggo lander was\ndeployed multiple times and drops 1 and 3 recovered seawater samples that were\nanalyzed. Additional details can be found at: [https://schmidtocean.org/cruise\n/expanding-mariana-trench-perspectives/](\\\\\"https://schmidtocean.org/cruise\n/expanding-mariana-trench-perspectives/\\\\\") and\n[https://scripps.ucsd.edu/labs/dbartlett/contact/challenger-deep-\ncruise-2014/](\\\\\"https://scripps.ucsd.edu/labs/dbartlett/contact/challenger-\ndeep-cruise-2014/\\\\\")\n \nLeggo Lander Drop 1: \n Time (in Guam) deployed/recovered: December 16, 9:00/19:26. \n Position at deployment: 11\\u00b0 21.9836 N 142\\u00b0 25.9533 E, middle\nsection of the Challenger Deep. \n Greatest depth of dive: approximately ~10,900 m. \nIn situ temperature on seafloor: 2.6\\u00b0C. \n Notes: This drop recovered seawater samples from about a meter off the\nseafloor.\\u00a0This included a 3 L\\u00a0Niskin bottle of seawater and ~ 150\nmls of seawater collected in a pressure-retaining seawater sampler.\\u00a0The\nPRS sampler held more than 81% of the in situ pressure.\\u00a0\n \nFlow Cytometry: \n Direct counts (flow cytometry) on the microbes obtained in the Leggo drop 1\nNiskin bottle and the Leg drop 1 pressure-retaining sampler.\\u00a0Samples were\nfixed with ~1% PFA and frozen. Later samples were removed from the -80 freezer\nand thawed in the dark.\n \nThe Attune was started and a Performance Test was run with the \\\"Performance\nTracking Beads\\\"\\u00a0to check that all lasers and filters were working, and\nthat voltages were correct. Cleaning and decontamination was also done using\nthe Attune Wash solution and MilliQ water. Random samples selected from\nLogan's samples were run using Instrument Settings in the Attune software.\nThis allows for real-time adjustments of voltages and thresholds in the\ndifferent channels to get the best resolution for that day\\u2019s run as well\nas allows for quantification of instrument noise for a given day.\n \nOnce samples were thawed, 300 uL of each sample was loaded into a 96-well\nU-bottom plate. 3 uL of Invitrogen Sybr-green stain (diluted to 100x in MilliQ\nwater) was then added to each well. The plate then incubated in the dark for\n30 minutes before being run. The Sybr-green stain stains any DNA within a cell\nwhich then fluoresces when passing the BL1 channel laser, allowing for counts\nof cells.\n \nOnce instrument settings were determined for the day, the plate was loaded\ninto the NxT autosampler and the run was started. Samples were run at\n\\\"Standard\\\" sensitivity at 100 uL/min for a total volume of 250 uL. Counts\nwere delayed for 15 seconds to avoid any noise or dilution that can occur when\nsample starts being sipped. Once entire plate was run, I used the Attune\nsoftware to correct for noise and gate various populations within the samples.\n \nNote: Leggo1 is the first drop of the Leggo Lander and the values reflect the\nflow cytometric cell counts from its 2 liter Niskin bottle. Leggo1_PRS_day_2\nis the flow cytometric cell count obtained from the pressure retaining sampler\nused on the first Leggo drop, following incubation in ice water for about 36\nhours after recovery.\n \nColony Identification: \n Data from the identification of bacteria cultured from the Leggo drop 1 and\n3 Niskin bottles are available as a [supplemental file](\\\\\"https://datadocs\n.bco-\ndmo.org/docs/bartlett/mariana_perspectives/data_docs/colony_identification.txt\\\\\")\n(.txt).\\u00a0These identifications were performed using standard methods\nassociated with PCR amplification of the 16S rRNA gene followed by dideoxy\nsequencing at Retrogen Inc.\\u00a0\\u00a0 |
attribute | NC_GLOBAL | awards_0_award_nid | String | 675559 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1536776 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536776 |
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 | Flow cytometry \n PI: Douglas Bartlett (UCSD) \n Version: 13 March 2017 \n Notes: \n Leggo1 is the first drop of the Leggo Lander and the values reflect the flow cytometric cell counts from its 2 liter Niskin bottle. \n Leggo1_PRS_day_2 is the flow cytometric cell count obtained from the pressure retaining sampler used on the first Leggo drop, following incubation in ice water for about 36 hours after recovery. |
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 | 2017-03-14T18:19:38Z |
attribute | NC_GLOBAL | date_modified | String | 2020-01-21T21:07:29Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.684323.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | 142.432555 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 11.36639 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 11.36639 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | 142.432555 |
attribute | NC_GLOBAL | geospatial_lon_min | double | 142.432555 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/684323 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Niskin bottle |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 684330 |
attribute | NC_GLOBAL | instruments_0_description | String | A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24 or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Niskin bottle |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 413 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Niskin bottle |
attribute | NC_GLOBAL | instruments_1_acronym | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 684332 |
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_2_dataset_instrument_nid | String | 684329 |
attribute | NC_GLOBAL | instruments_2_description | String | The \"Leggo Lander\" is a lander system that primarily relies on syntactic foam for buoyancy and uses iridium GPS, radio signal, strobe light and flag for surface recovery, and acoustics for underwater monitoring and instrument control. The lander has a timer with 5 control settings for various operations. It routinely measures pressure (depth) throughout its dive and temperature on the seafloor. The lander payloads include a pressure-retaining seawater sampler plus 2 liter Niskin bottle, and a camera/battery/light system that also includes a 30 liter Niskin bottle and a sea cucumber trap. With the camera payload it travels down or up the water column at about 39 meters per minute (~ 4.5 hours for a descent to the Challenger Deep at ~10,920 m).\n\n(Description obtained from the R/V Falkor FK141215 post-cruise report (PDF)) |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Leggo Lander |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 684302 |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, cells, cells_per_mL, chemical, data, dataset, date, deploy, dmo, drop, drop_name, erddap, iso, ISO_DateTime_recover, latitude, longitude, management, name, oceanography, office, per, preliminary, recover, time |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/684323/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/684323 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 11.36639 |
attribute | NC_GLOBAL | param_mapping | String | {'684323': {'lat': 'flag - latitude', 'lon': 'flag - longitude', 'ISO_DateTime_deploy': 'flag - time'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/684323/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of California-San Diego |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | UCSD-SIO |
attribute | NC_GLOBAL | people_0_person_name | String | Douglas Bartlett |
attribute | NC_GLOBAL | people_0_person_nid | String | 675562 |
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 | Shannon Rauch |
attribute | NC_GLOBAL | people_1_person_nid | String | 51498 |
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 | Mariana Perspectives |
attribute | NC_GLOBAL | projects_0_acronym | String | Mariana Perspectives |
attribute | NC_GLOBAL | projects_0_description | String | Award Abstract from NSF:\nThe deepest portion of the ocean is present in ocean trenches, whose steep walls descend from approximately 4 miles down to depths that in some cases are close to 7 miles below the seawater surface. At these locations Earth's crust is recycled. Perhaps not surprisingly given their remoteness, deep ocean trenches are the least understood habitats in the ocean. The researchers participating in this project are working to characterize the microbes present in two of the deepest trenches present on Earth, both in the Pacific Ocean, the Kermadec Trench located north of New Zealand, and the Mariana Trench, located east and south of the island of Guam. Most of the Mariana Trench is located within the United States Mariana Trench Marine National Monument. Relatively little is known about the diversity and adaptations of the microorganisms in deep ocean trenches. An unknown fraction of the microbes present have descended from shallow waters above and are unlikely to participate in any nutrient cycles in the deep sea. Others are adapted to near freezing temperatures and up to pressures greater than 10e7 kilograms per square meter (16,000 pounds per square inch). These latter microbes perform important roles recycling organic matter. But who are they? This project is contributing to the training of diverse undergraduate and graduate students participating in research, additional undergraduate students learning about microbes inhabiting extreme environments in a web-based class, and additional graduate students and postdoctoral scientists participating in an advanced training course being offered in Antarctica.\nExperiments being performed include direct counts of prokaryotes and viruses in seawater and sediments, analyses of the abundance and phylogenetic breadth of culturable heterotrophic bacteria at a range of pressures, measurements of bacterial community species diversity and richness both within and across seawater and sediment samples, as well as within and across the two trench systems, measurements of microbial activity as a function of pressure and the identification of high pressure-active cells. The data generated from these analyses are being integrated into the results of additional chemical, geological and biological measurements performed by others as a part of the National Science Foundation funded Hadal Ecosystems Studies Project. Two of the working hypotheses are that prokaryote numbers and diversity are generally positively correlated with surface productivity and proximity to the trench axis and that bacterial taxa exist which are endemic to specific trenches, present in multiple trenches and more widely distributed in deep-sea environments. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2018-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Challenger Deep, Mariana Trench |
attribute | NC_GLOBAL | projects_0_name | String | Patterns of Microbial Community Structure Within and Between Hadal Environments |
attribute | NC_GLOBAL | projects_0_project_nid | String | 675560 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2015-09 |
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 | 11.36639 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | subsetVariables | String | time,ISO_DateTime_recover,latitude,longitude |
attribute | NC_GLOBAL | summary | String | Direct counts (flow cytometry) on the microbes obtained in the Leggo drop 1 Niskin bottle and the Leg drop 1 pressure-retaining sampler. |
attribute | NC_GLOBAL | time_coverage_end | String | 2014-12-16T09:00:00Z |
attribute | NC_GLOBAL | time_coverage_start | String | 2014-12-16T09:00:00Z |
attribute | NC_GLOBAL | title | String | [flow cytometry] - Direct counts (flow cytometry) on microbes obtained by Niskin bottle and pressure-retaining sampler from the Leggo Lander on R/V Falkor cruise FK141215 in the Challenger Deep, Mariana Trench in December 2014 (Patterns of Microbial Community Structure Within and Between Hadal Environments) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | 142.432555 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | drop_name | String | ||
attribute | drop_name | bcodmo_name | String | sample |
attribute | drop_name | description | String | Name of the lander drop |
attribute | drop_name | long_name | String | Drop Name |
attribute | drop_name | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | drop_name | units | String | unitless |
variable | cells_per_mL | double | ||
attribute | cells_per_mL | _FillValue | double | NaN |
attribute | cells_per_mL | actual_range | double | 14306.66667, 184064.6667 |
attribute | cells_per_mL | bcodmo_name | String | abundance |
attribute | cells_per_mL | description | String | Number of cells per milliliter (mL) |
attribute | cells_per_mL | long_name | String | Cells Per M L |
attribute | cells_per_mL | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | cells_per_mL | units | String | cells/mL |
variable | time | double | ||
attribute | time | _CoordinateAxisType | String | Time |
attribute | time | actual_range | double | 1.4187204E9, 1.4187204E9 |
attribute | time | axis | String | T |
attribute | time | bcodmo_name | String | ISO_DateTime_Local |
attribute | time | description | String | Date and time (local Guam time zone) of lander deployment; formatted to ISO 8601 standard. |
attribute | time | ioos_category | String | Time |
attribute | time | long_name | String | ISO Date Time Deploy |
attribute | time | source_name | String | ISO_DateTime_deploy |
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 |
variable | ISO_DateTime_recover | String | ||
attribute | ISO_DateTime_recover | bcodmo_name | String | ISO_DateTime_Local |
attribute | ISO_DateTime_recover | description | String | Date and time (local Guam time zone) of lander recovery; formatted to ISO 8601 standard. |
attribute | ISO_DateTime_recover | long_name | String | ISO Date Time Recover |
attribute | ISO_DateTime_recover | time_precision | String | 1970-01-01T00:00:00Z |
attribute | ISO_DateTime_recover | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 11.36639, 11.36639 |
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 lander deployment |
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 | 142.432555, 142.432555 |
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 lander deployment |
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 |