Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | [Lost City AT42-01 Collected Fluids] - Samples collected and their associated temperatures on an expedition to the Lost City hydrothermal field on R/V Atlantis cruise AT42-01 in September 2018 (Collaborative Research: Investigating the Lost City as an ultramafic urban center of the subseafloor, fueled by energy and carbon from the mantle) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_782197) |
| Range: | longitude = -42.122215 to -42.118725°E, latitude = 30.123707 to 30.129986°N, time = 2018-09-16T13:30:00Z to 2018-09-21T11:43:00Z |
| Information: | Summary
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| FGDC
| ISO 19115
| Metadata
| Background
| Data Access Form
| Files
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![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_782197.png?longitude,latitude&time%3E=2018-09-15T00%3A00%3A00Z&time%3C=2018-09-22T00%3A00%3A00Z&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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Attributes {
s {
Sample_Descrip {
String bcodmo_name "sample_descrip";
String description "Sample description";
String long_name "Sample Descrip";
String units "unitless";
}
Sample_ID {
String bcodmo_name "sample";
String description "Sample identifier";
String long_name "Sample ID";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
Sample_Type {
String bcodmo_name "sample_type";
String description "Sample type";
String long_name "Sample Type";
String units "unitless";
}
Site {
String bcodmo_name "site";
String description "Site name";
String long_name "Site";
String units "unitless";
}
Date_GMT {
String bcodmo_name "date";
String description "Date (GMT); format: yyyy-mm-dd";
String long_name "Date GMT";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String time_precision "1970-01-01";
String units "unitless";
}
Start_Time_GMT {
String bcodmo_name "time";
String description "Start time (GMT); format: HH:MM";
String long_name "Start Time GMT";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
String units "unitless";
}
End_Time_GMT {
String bcodmo_name "time";
String description "End time (GMT); format: HH:MM";
String long_name "End Time GMT";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 30.12370754, 30.12998582;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "Latitude";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range -42.12221591, -42.11872563;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "Longitude (negative values = West)";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String standard_name "longitude";
String units "degrees_east";
}
Average_T {
String bcodmo_name "temperature";
String description "Average temperature";
String long_name "Average T";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "degrees Celsius";
}
Highest_T {
String bcodmo_name "temperature";
String description "Highest temperature";
String long_name "Highest T";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "degrees Celsius";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.5371046e+9, 1.53753018e+9;
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "Date and time at start (GMT) formatted ISO 8601 standard; format: yyyy-mm-ddTHH:MM:SSZ";
String ioos_category "Time";
String long_name "ISO Date Time Start GMT";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "ISO_DateTime_Start_GMT";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String time_precision "1970-01-01T00:00:00Z";
String units "seconds since 1970-01-01T00:00:00Z";
}
ISO_DateTime_End_GMT {
String bcodmo_name "ISO_DateTime_UTC";
String description "Date and time at end (GMT) formatted ISO 8601 standard; format: yyyy-mm-ddTHH:MM:SSZ";
String long_name "ISO Date Time End GMT";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String time_precision "1970-01-01T00:00:00Z";
String units "unitless";
}
Comment {
String bcodmo_name "comment";
String description "Comment/notes";
String long_name "Comment";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
String acquisition_description
"Fluid samples were collected into either 2 L or 11 L kynar bags that were acid
washed (10% HCl soak overnight, followed by through rinsing, overnight Milli-Q
soak, and further rinsing). Sample for geochemistry were collected unammended.
Samples for microbiology were pre-spiked with 13C-labeled formate,
bicarbonate, or methane, or with preservative. Additional samples were
collected by filtering fluids in situ through sterivex filters.
Average T refers to the average of the fluid temperature measured while the
sample was being collected.\\u00a0Temperatures were measured with NKE
Instrumentation Temperature sensors (P/N S2T6000-Ti-DH; P/N
60-07-326-002).\\u00a0\\\"N.D.\\\" is no data.";
String awards_0_award_nid "658603";
String awards_0_award_number "OCE-1536702";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536702";
String awards_0_funder_name "NSF Division of Ocean Sciences";
String awards_0_funding_acronym "NSF OCE";
String awards_0_funding_source_nid "355";
String awards_0_program_manager "David L. Garrison";
String awards_0_program_manager_nid "50534";
String awards_1_award_nid "658624";
String awards_1_award_number "OCE-1536405";
String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1536405";
String awards_1_funder_name "NSF Division of Ocean Sciences";
String awards_1_funding_acronym "NSF OCE";
String awards_1_funding_source_nid "355";
String awards_1_program_manager "David L. Garrison";
String awards_1_program_manager_nid "50534";
String awards_2_award_nid "658626";
String awards_2_award_number "OCE-1535962";
String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1535962";
String awards_2_funder_name "NSF Division of Ocean Sciences";
String awards_2_funding_acronym "NSF OCE";
String awards_2_funding_source_nid "355";
String awards_2_program_manager "David L. Garrison";
String awards_2_program_manager_nid "50534";
String cdm_data_type "Other";
String comment
"Lost City AT42-01 Collected Fluids
PI: Susan Q. Lang (University of South Carolina)
Co-PIs: William Brazelton (University of Utah), Marvin Lilley & Deborah Kelley (University of Washington), Gretchen Früh-Green (ETH-Zurich)
Version date: 25-March-2020";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_email "info@bco-dmo.org";
String creator_name "BCO-DMO";
String creator_type "institution";
String creator_url "https://www.bco-dmo.org/";
String data_source "extract_data_as_tsv version 2.3 19 Dec 2019";
String date_created "2019-11-19T20:39:24Z";
String date_modified "2020-03-30T16:39:27Z";
String defaultDataQuery "&time<now";
String doi "10.26008/1912/bco-dmo.782197.1";
Float64 Easternmost_Easting -42.11872563;
Float64 geospatial_lat_max 30.12998582;
Float64 geospatial_lat_min 30.12370754;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -42.11872563;
Float64 geospatial_lon_min -42.12221591;
String geospatial_lon_units "degrees_east";
String history
"2024-11-15T12:26:19Z (local files)
2024-11-15T12:26:19Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_782197.das";
String infoUrl "https://www.bco-dmo.org/dataset/782197";
String institution "BCO-DMO";
String instruments_0_acronym "ROV Jason";
String instruments_0_dataset_instrument_description "The Hydrothermal Organic Geochemistry (HOG) sampler was designed to collect hydrothermal fluids for biogeochemical and microbiological analyses. It consists of seven 2-liter and two 11-liter sample chambers for natural abundance geochemistry connected to a titanium intake nozzle with an in situ temperature probe. A second titanium intake nozzle with an in situ temperature probe is connected to seven 2-liter sample chambers devoted to incubation experiments, and five Sterivex filters for trapping microbial cell-sized particles. The HOG Sampler was deployed on all but one dive and is described in more detail in the methods section of the cruise report. Temperatures were measured with NKE Instrumentation Temperature sensors (P/N S2T6000-Ti-DH; P/N 60-07-326-002).";
String instruments_0_dataset_instrument_nid "782223";
String instruments_0_description "The Remotely Operated Vehicle (ROV) Jason is operated by the Deep Submergence Laboratory (DSL) at Woods Hole Oceanographic Institution (WHOI). WHOI engineers and scientists designed and built the ROV Jason to give scientists access to the seafloor that didn't require them leaving the deck of the ship. Jason is a two-body ROV system. A 10-kilometer (6-mile) fiber-optic cable delivers electrical power and commands from the ship through Medea and down to Jason, which then returns data and live video imagery. Medea serves as a shock absorber, buffering Jason from the movements of the ship, while providing lighting and a bird’s eye view of the ROV during seafloor operations. During each dive (deployment of the ROV), Jason pilots and scientists work from a control room on the ship to monitor Jason’s instruments and video while maneuvering the vehicle and optionally performing a variety of sampling activities. Jason is equipped with sonar imagers, water samplers, video and still cameras, and lighting gear. Jason’s manipulator arms collect samples of rock, sediment, or marine life and place them in the vehicle’s basket or on \"elevator\" platforms that float heavier loads to the surface. More information is available from the operator site at URL.";
String instruments_0_instrument_name "ROV Jason";
String instruments_0_instrument_nid "638";
String keywords "average, Average_T, bco, bco-dmo, biological, chemical, comment, data, dataset, date, Date_GMT, descrip, dmo, end, End_Time_GMT, erddap, highest, Highest_T, iso, ISO_DateTime_End_GMT, latitude, longitude, management, oceanography, office, preliminary, sample, Sample_Descrip, Sample_ID, Sample_Type, site, start, Start_Time_GMT, time, type";
String license "https://www.bco-dmo.org/dataset/782197/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/782197";
Float64 Northernmost_Northing 30.12998582;
String param_mapping "{'782197': {'Latitude': 'flag - latitude', 'ISO_DateTime_Start_GMT': 'flag - time', 'Longitude': 'flag - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/782197/parameters";
String people_0_affiliation "University of South Carolina";
String people_0_person_name "Susan Q. Lang";
String people_0_person_nid "658607";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "University of Utah";
String people_1_person_name "William Brazelton";
String people_1_person_nid "658614";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "ETH-Zurich";
String people_2_affiliation_acronym "ETH";
String people_2_person_name "Gretchen Fruh-Green";
String people_2_person_nid "658610";
String people_2_role "Co-Principal Investigator";
String people_2_role_type "originator";
String people_3_affiliation "University of Washington";
String people_3_affiliation_acronym "UW";
String people_3_person_name "Deborah Kelley";
String people_3_person_nid "658618";
String people_3_role "Co-Principal Investigator";
String people_3_role_type "originator";
String people_4_affiliation "University of Washington";
String people_4_affiliation_acronym "UW";
String people_4_person_name "Marvin Lilley";
String people_4_person_nid "658616";
String people_4_role "Co-Principal Investigator";
String people_4_role_type "originator";
String people_5_affiliation "Woods Hole Oceanographic Institution";
String people_5_affiliation_acronym "WHOI BCO-DMO";
String people_5_person_name "Shannon Rauch";
String people_5_person_nid "51498";
String people_5_role "BCO-DMO Data Manager";
String people_5_role_type "related";
String project "Lost City Limits to Life";
String projects_0_acronym "Lost City Limits to Life";
String projects_0_description
"NSF Award Abstract:
The vast majority of deep seafloor sediments are inhabited by microbial communities that survive under extreme energy limitation, with apparent generation times of centuries to millennia. Hydrothermal systems are a stark contrast to these energy-starved environments and may represent important, high-activity, 'population centers' in the oceanic subsurface. When rocks from the Earth's mantle are uplifted and exposed to water, the resulting reactions lead to acidic fluids with high concentrations of hydrogen. Under certain circumstances, small organic molecules such as methane can also form in the absence of biology. These compounds can provide energy to subseafloor microbial communities and, given the ubiquity of mantle rocks, such reactions may fuel a significant proportion of the active subsurface biosphere. The current project will characterize the microbial communities inhabiting an iconic example of this type of system, the Lost City Hydrothermal Field, using a remotely operated vehicle. The ghostly spires of Lost City are highly telegenic and have been featured in professional documentaries. The high definition underwater video footage collected during the expedition will provide the raw material for an 8 week educational training program in digital media focused on kindergarten through 12th grade high school students and undergraduate students. The resulting short documentaries will be published on YouTube and the Utah Education Network.
Mantle rocks comprise significant portions of the seafloor, and microbial communities hosted within them may be important mediators of carbon and energy exchange between the deep Earth and the surface biosphere. Upon tectonic uplift and exposure to water, the serpentinization of these materials releases potential energy in the form of hydrogen, methane, and heat, and further reaction of these products can sustain the abiogenic synthesis of small organic molecules. Recent studies have highlighted, however, the lack of alkalithermophiles that are capable of survival at the high pH (9-11) and elevated temperatures found in these systems. The almost complete lack of carbon dioxide (CO2) represents a second, and possibly more significant, limitation to growth. To better understand the extent of the serpentinite subsurface, this project will address the question: What limits biological activity in the serpentinite subsurface? Specifically, the proposed work will test the hypotheses: (1) microbial diversity spans a wider range of temperature-pH conditions than currently recognized and (2) the scarcity of CO2 is a key biological limitation to serpentinization-driven ecosystems that can be overcome by the metabolic activity of one or a few foundation species. These hypotheses will be tested during a 20 day (10 days on site) expedition to the Lost City Hydrothermal Field, focusing on fluids as windows to the subsurface biosphere. The sampling approach will capitalize on the differences in temperature, carbon availability, and microbial activity across the field. The analytical approach will integrate multidisciplinary techniques performed on replicate subsamples and feature the application of next-generation sequencing technologies to these marine serpentinizing fluids for the first time. This study will generate extensive sequence data from environmental DNA, environmental mRNA, and single-cell genomes, allowing us to identify the in situ expression of metabolic pathways and the genomics of active single cells. These efforts will be closely linked with a thorough characterization of carbon in these fluids that will focus on identifying available substrates (e.g. methane, CO2, organic acids) and on characterizing biomarkers that reflect specific metabolic pathways (e.g. lipids, amino acids).";
String projects_0_end_date "2018-08";
String projects_0_geolocation "Lost City Hydrothermal Field";
String projects_0_name "Collaborative Research: Investigating the Lost City as an ultramafic urban center of the subseafloor, fueled by energy and carbon from the mantle";
String projects_0_project_nid "658604";
String projects_0_start_date "2015-09";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 30.12370754;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "Summary of samples collected by the Hydrothermal Organic Geochemistry (HOG) sampler on AT-4201 with ROV Jason, on dives J2_1107 through J2_1111, during R/V Atlantic cruise AT42-01, September 9 - October 1, 2018.";
String time_coverage_end "2018-09-21T11:43:00Z";
String time_coverage_start "2018-09-16T13:30:00Z";
String title "[Lost City AT42-01 Collected Fluids] - Samples collected and their associated temperatures on an expedition to the Lost City hydrothermal field on R/V Atlantis cruise AT42-01 in September 2018 (Collaborative Research: Investigating the Lost City as an ultramafic urban center of the subseafloor, fueled by energy and carbon from the mantle)";
String version "1";
Float64 Westernmost_Easting -42.12221591;
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
Data Access Protocol (DAP) and its
selection constraints.
The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.
Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names,
followed by a collection of
constraints (e.g., variable<value),
each preceded by '&' (which is interpreted as "AND").
For details, see the tabledap Documentation.