BCO-DMO ERDDAP
Accessing BCO-DMO data |
log in
Brought to you by BCO-DMO |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt |
attribute | NC_GLOBAL | acquisition_description | String | Metaproteomics samples were collected by McLane pump onto 0.2 micron Supor\nmembrane filters, with 51 and 3.0 micron prefilters. Global metaproteomic\nanalyses were conducted using 1-dimensional (1D) and 2-dimensional (2D)\nchromatographic separation for the Metzyme and ProteOMZ expeditions\nrespectively. Following global metaproteomic analyses, targeted metaproteomic\nassays were designed and samples were analyzed again by parallel reaction\nmonitoring (PRM) mass spectrometry using mass spectral information from the\nglobal proteomic analyses. See methods in Saito et al., 2020 Nature\nGeosciences for full details.\n \nSamples were analyzed on a Thermo Fusion Orbitrap mass spectrometer. See\nmethods in Saito et al., 2020 Nature Geosciences for full details.\n \nData quality flags are included following GEOTRACES conventions for results\nbelow detection limit (flag= 6).\\u00a0\n \nParameters were named using the prior GEOTRACES IDP parameter naming\nconvention used for peptides (PEP), although these are new parameters not\npreviously submitted here or elsewhere.\n \nThe peptide\\u00a0parameter naming convention was developed in collaboration\nwith the GEOTRACES program. In other to avoid the sustainability challenge of\nhaving to maintain a parameter key of codes that represent protein and peptide\nsequences, the tryptic peptide amino acid sequences are inserted into the\nparameter name, with prefixes and suffixes for additional metadata. For\nexample, the parameter name \\\"PEP_MTIQWGK_NxrA_PUMP\\\" has the following\ncomponents. The prefix PEP refers to the peptides datatype, \\\"MTIQWGK\\\" refers\nto the specific amino acid sequence of the measured peptide, using the IUPAC-\nIUB 1 letter amino acid naming convention. This sequence can be used to\ncalculate the molecular weight and elemental formula of the molecule that was\nmeasured (e.g. see\n[https://web.expasy.org/compute_pi/](\\\\\"https://web.expasy.org/compute_pi/\\\\\")\nand\n[https://web.expasy.org/protparam/](\\\\\"https://web.expasy.org/protparam/\\\\\")).\n\\\"NxrA\\\" refers to the protein name, in this case nitrite oxidoreductase\nsubunit A. \\\"PUMP\\\" refers to the samping methodology, in order to\ndifferentiate when samples may be collected from the same location and depth\nbut by different methods. This approach is useful as tryptic peptides are\nshort enough in sequence to allow their use within parameter names, and each\nparameter name uniquely describes the molecule being measured, even when, as\nin this Nxr study, many different peptides are being measured from within a\nsingle protein. \n Reference:\\u00a0[https://febs.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1432-1033.1984.tb...](\\\\\"https://febs.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1432-1033.1984.tb07877.x\\\\\") |
attribute | NC_GLOBAL | awards_0_award_nid | String | 55017 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1031271 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1031271 |
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 | Donald L. Rice |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 51467 |
attribute | NC_GLOBAL | awards_1_award_nid | String | 646122 |
attribute | NC_GLOBAL | awards_1_award_number | String | GBMF3782 |
attribute | NC_GLOBAL | awards_1_data_url | String | https://www.moore.org/grant-detail?grantId=GBMF3782 |
attribute | NC_GLOBAL | awards_1_funder_name | String | Gordon and Betty Moore Foundation: Marine Microbiology Initiative |
attribute | NC_GLOBAL | awards_1_funding_acronym | String | MMI |
attribute | NC_GLOBAL | awards_1_funding_source_nid | String | 385 |
attribute | NC_GLOBAL | awards_2_award_nid | String | 724457 |
attribute | NC_GLOBAL | awards_2_award_number | String | OCE-1657766 |
attribute | NC_GLOBAL | awards_2_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1657766 |
attribute | NC_GLOBAL | awards_2_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_2_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_2_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_2_program_manager | String | David L. Garrison |
attribute | NC_GLOBAL | awards_2_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | awards_3_award_nid | String | 785825 |
attribute | NC_GLOBAL | awards_3_award_number | String | OCE-1736599 |
attribute | NC_GLOBAL | awards_3_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1736599 |
attribute | NC_GLOBAL | awards_3_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_3_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_3_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_3_program_manager | String | Henrietta N Edmonds |
attribute | NC_GLOBAL | awards_3_program_manager_nid | String | 51517 |
attribute | NC_GLOBAL | awards_4_award_nid | String | 786678 |
attribute | NC_GLOBAL | awards_4_award_number | String | OCE-1850719 |
attribute | NC_GLOBAL | awards_4_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1850719 |
attribute | NC_GLOBAL | awards_4_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_4_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_4_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_4_program_manager | String | Daniel Thornhill |
attribute | NC_GLOBAL | awards_4_program_manager_nid | String | 722161 |
attribute | NC_GLOBAL | awards_5_award_nid | String | 806568 |
attribute | NC_GLOBAL | awards_5_award_number | String | OCE-1924554 |
attribute | NC_GLOBAL | awards_5_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1924554 |
attribute | NC_GLOBAL | awards_5_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_5_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_5_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_5_program_manager | String | Dr Simone Metz |
attribute | NC_GLOBAL | awards_5_program_manager_nid | String | 51479 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Pacific Nitrite Oxidoreductase \n PI: Mak A. Saito \n Data Version 1: 2020-04-21 |
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 | 2020-03-19T15:37:18Z |
attribute | NC_GLOBAL | date_modified | String | 2020-04-27T20:02:55Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.26008/1912/bco-dmo.806510.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | 156.0 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 17.0 |
attribute | NC_GLOBAL | geospatial_lat_min | double | -3.5 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | 156.0 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -160.77 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 1250.0 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 20.0 |
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/806510 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | McLane Pump |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 807118 |
attribute | NC_GLOBAL | instruments_0_description | String | McLane pumps sample large volumes of seawater at depth. They are attached to a wire and lowered to different depths in the ocean. As the water is pumped through the filter, particles suspended in the ocean are collected on the filters. The pumps are then retrieved and the contents of the filters are analyzed in a lab. |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | McLane Pump |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 627 |
attribute | NC_GLOBAL | instruments_1_acronym | String | Mass Spec |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 806511 |
attribute | NC_GLOBAL | instruments_1_description | String | General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components. |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB16/ |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Mass Spectrometer |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 685 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | Thermo Fusion Orbitrap mass spectrometer |
attribute | NC_GLOBAL | keywords | String | aihgvyegvtifeapak, alivntpr, bco, bco-dmo, biological, cast, chemical, data, dataset, date, depth, dllgilqlfr, dmo, erddap, expedition, Fe_as_NxrAB, flag, fpnfgedtahgr, ggtlvavapeynppatk, glwepvr, icnhctypgclaacpr, iglnqqavgyvptdeewr, iso, lane, lanqvalldsiir, latitude, lhpddfipgyk, local, Long180, longitude, management, McLane_cast, McLane_ISO_DateTime_UTC, mean, mtiqwgk, nxr, NxrA_mean, NxrA_std, NxrAB_mean, NxrB_mean, NxrB_std, oceanography, office, pep, PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP, PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP_FLAG, PEP_ALIVNTPR_NxrA_PUMP, PEP_ALIVNTPR_NxrA_PUMP_FLAG, PEP_DLLGILQLFR_NxrB_PUMP, PEP_DLLGILQLFR_NxrB_PUMP_FLAG, PEP_FPNFGEDTAHGR_NxrB_PUMP, PEP_FPNFGEDTAHGR_NxrB_PUMP_FLAG, PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP, PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG, PEP_GLWEPVR_NxrA_PUMP, PEP_GLWEPVR_NxrA_PUMP_FLAG, PEP_ICNHCTYPGCLAACPR_NxrB_PUMP, PEP_ICNHCTYPGCLAACPR_NxrB_PUMP_FLAG, PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP, PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP_FLAG, PEP_LANQVALLDSIIR_NxrA_PUMP, PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG, PEP_LHPDDFIPGYK_NxrA_PUMP, PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG, PEP_MTIQWGK_NxrA_PUMP, PEP_MTIQWGK_NxrA_PUMP_FLAG, PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP, PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG, preliminary, profiler, pump, salinity, salinity-temperature-depth, station, std, temperature, time, tqfyndepeaieygenfivhr |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/806510/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/806510 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 17.0 |
attribute | NC_GLOBAL | param_mapping | String | {'806510': {'Lat': 'flag - latitude', 'Long180': 'flag - longitude', 'Depth': 'master - depth', 'McLane_ISO_DateTime_UTC': 'flag - time'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/806510/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | WHOI |
attribute | NC_GLOBAL | people_0_person_name | String | Mak A. Saito |
attribute | NC_GLOBAL | people_0_person_nid | String | 50985 |
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 | Amber D. York |
attribute | NC_GLOBAL | people_1_person_nid | String | 643627 |
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 | MetZyme,ProteOMZ (Proteomics in an Oxygen Minimum Zone),TriCoLim,PMT Cobalt and Metalloenzymes,MM Saito,Cyanobacteria Warming Responses,O2 Min Metalloenzyme |
attribute | NC_GLOBAL | projects_0_acronym | String | MetZyme |
attribute | NC_GLOBAL | projects_0_description | String | MetZyme project researchers will determine the role of enzymatic activity in the cycling of trace metals. Specifically the research will address the following questions: (1) degradation of sinking particulate organic material in the Tropical North Pacific can be influenced by the ability of microbes to synthesize zinc proteases, which in turn is controlled by the abundance or availability of zinc, and (2) methylation of mercury is controlled, in part, by the activity of cobalt-containing enzymes, and therefore the supply of labile cobalt to the corrinoid-containing enzymes or co-factors responsible for methylation. To attain their goal, they will collect dissolved and particulate samples for trace metals and metalloenzymes from three stations along a biogeochemical gradient in the Tropical North Pacific (along 150 degrees West from 18 degrees North to the equator). Sinking particles from metal clean sediment traps will also be obtained. The samples will also be used to carry out shipboard incubation experiments using amendments of metals, metal-chelators, B12, and proteases to examine the sensitivity and metal limitation of heterotrophic, enzymatic degradation of organic matter within the oceanic \"Twilight Zone\" (100-500 m). This study will result in a novel metaproteomic/metalloenzyme datasets that should provide insights into the biogeochemical cycling of metals, as well as co-limitation of primary productivity and controls on the export of carbon from the photic zone. In addition to the final data being contributed to BCO-DMO, an online metaproteomic data server will be created so the community has access to the raw data files generated by this research. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2013-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Tropical North Pacific along 150 degrees West from 18 degrees North to the equator |
attribute | NC_GLOBAL | projects_0_name | String | Connecting Trace Elements and Metalloenzymes Across Marine Biogeochemical Gradients |
attribute | NC_GLOBAL | projects_0_project_nid | String | 2236 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2010-09 |
attribute | NC_GLOBAL | projects_1_acronym | String | ProteOMZ (Proteomics in an Oxygen Minimum Zone) |
attribute | NC_GLOBAL | projects_1_description | String | From Schmidt Ocean Institute's ProteOMZ Project page:\nRising temperatures, ocean acidification, and overfishing have now gained widespread notoriety as human-caused phenomena that are changing our seas. In recent years, scientists have increasingly recognized that there is yet another ingredient in that deleterious mix: a process called deoxygenation that results in less oxygen available in our seas.\nLarge-scale ocean circulation naturally results in low-oxygen areas of the ocean called oxygen deficient zones (ODZs). The cycling of carbon and nutrients – the foundation of marine life, called biogeochemistry – is fundamentally different in ODZs than in oxygen-rich areas. Because researchers think deoxygenation will greatly expand the total area of ODZs over the next 100 years, studying how these areas function now is important in predicting and understanding the oceans of the future. This first expedition of 2016 led by Dr. Mak Saito from the Woods Hole Oceanographic Institution (WHOI) along with scientists from University of Maryland Center for Environmental Science, University of California Santa Cruz, and University of Washington aimed to do just that, investigate ODZs.\nDuring the 28 day voyage named “ProteOMZ,” researchers aboard R/V Falkor traveled from Honolulu, Hawaii to Tahiti to describe the biogeochemical processes that occur within this particular swath of the ocean’s ODZs. By doing so, they contributed to our greater understanding of ODZs, gathered a database of baseline measurements to which future measurements can be compared, and established a new methodology that could be used in future research on these expanding ODZs. |
attribute | NC_GLOBAL | projects_1_geolocation | String | Central Pacific Ocean (Hawaii to Tahiti) |
attribute | NC_GLOBAL | projects_1_name | String | The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean |
attribute | NC_GLOBAL | projects_1_project_nid | String | 685696 |
attribute | NC_GLOBAL | projects_1_project_website | String | https://schmidtocean.org/cruise/investigating-life-without-oxygen-in-the-tropical-pacific/#team |
attribute | NC_GLOBAL | projects_2_acronym | String | TriCoLim |
attribute | NC_GLOBAL | projects_2_description | String | NSF abstract:\nMarine cyanobacteria are able to use or \"fix\" atmospheric nitrogen gas, and so supply much of the essential nutrient nitrogen that supports open ocean food chains. Oceanographers have usually thought that the growth of these nitrogen-fixing cyanobacteria is limited at any particular time and place by the supply of either iron, or of phosphorus. Preliminary experiments have shown, though, that these nitrogen fixers instead grow best when both iron and phosphorus are scarce at the same time. In this project, the researchers will use cellular indicators that are specific for iron and phosphorus limitation to determine how important this type of \"balanced limitation\" of nitrogen-fixing cyanobacteria is in controlling the productivity of ocean food chains in the tropical Atlantic Ocean. Two graduate students will be trained at the University of Southern California (USC) and Woods Hole Oceanographic Institution, as well as a postdoctoral researcher at USC. Educational outreach efforts will take place at a Los Angeles inner city high school with a student body that is over 98% Hispanic and African-American, and with underrepresented undergraduates in the USC Global Environmental Microbiology course. In addition, two Research Experiences for Undergraduates students will be supervised for summer research projects to help them learn about science career options.\nThe researchers will investigate the biological and biogeochemical consequences of this unique balanced iron/phosphorus-limited phenotype, using both laboratory and fieldwork approaches. During the first year of this project, the nitrogen-fixing cyanobacteria will be cultured under iron and/or phosphorus limitation, followed by application of proteomics and transcriptomics to identify genes that are potential diagnostic biomarkers for iron/phosphorus balanced limitation. Preliminary work has already identified one promising candidate biomarker in one cyanobacterium, an EzrA protein domain that appears to be associated with the cell size decreases seen specifically under balanced limitation, and the researchers have identified numerous other potential candidates for similar biomarkers. During the second year, these new co-limitation biomarkers and others previously validated for iron limitation (IsiB) and phosphorus limitation (SphX) will be used to investigate balanced limitation during a research cruise transecting from relatively high-iron, low-phosphorus North Atlantic waters, to the relatively high-phosphorus, low-iron South Atlantic. This fieldwork component will survey nitrogen fixing cyanobacteria populations across this natural iron/phosphorus gradient for genetic, proteomic, and physiological indicators of balanced limitation, as well as testing their responses to iron and phosphorus manipulations in shipboard incubation experiments. The third year will be devoted to sample analysis, and publications exploring the responses of oceanic nitrogen fixers to simultaneous limitation by both iron and phosphorus. |
attribute | NC_GLOBAL | projects_2_end_date | String | 2020-02 |
attribute | NC_GLOBAL | projects_2_geolocation | String | Tropical Atlantic |
attribute | NC_GLOBAL | projects_2_name | String | Collaborative Research: Iron and phosphorus balanced limitation of nitrogen fixation in the oligotrophic ocean |
attribute | NC_GLOBAL | projects_2_project_nid | String | 724451 |
attribute | NC_GLOBAL | projects_2_start_date | String | 2017-03 |
attribute | NC_GLOBAL | projects_3_acronym | String | PMT Cobalt and Metalloenzymes |
attribute | NC_GLOBAL | projects_3_description | String | NSF abstract:\nCobalt is important for many forms of marine life, yet it is one of the scarcest nutrients in the sea. Cobalt's oceanic abundance and distribution, along with other scarce nutrients, can influence the growth of microscopic plants (phytoplankton). This in turn can influence carbon cycles in the ocean and atmosphere. Therefore, knowledge of the controls on cobalt's abundance and chemical forms in seawater is a valuable component of our ability to understand the ocean's influence on global carbon cycling. Within phytoplankton and other marine microbes, metals such as cobalt, iron, nickel, and copper are used as critical components of enzymes responsible for key cellular reactions. Since these enzymes require metals to work, they are named metalloenzymes. Participating in a Pacific Ocean cruise from Alaska to Tahiti, this project will study the oceanic distributions of dissolved cobalt and the cellular content of a group of metalloenzymes known to influence biogeochemical cycles. The project will provide scientific impact by creating new knowledge about oceanic micronutrients in regions of economic interest with regard to fisheries and deep-sea mining. Measurement of proteins in the North Pacific will provide data of broad biological and chemical interest and will be made available through a new NSF-funded \"EarthCube Ocean Protein Portal\" data base. Educational impact will stem from participation of a graduate student and two young technicians, as well as the PI's development of a high school chemistry curriculum for use in two local high schools, thus allowing teachers to include real oceanic and environmental data at their first introduction to chemistry.\nCobalt has a complex biogeochemical cycle. Both its inorganic and organic forms are used by biology in the upper ocean and it is removed from solution by being scavenged in the intermediate and deep ocean. This scavenging removal results in cobalt having the smallest oceanic inventory of any biologically utilized element. Recent studies, however, have found that large dissolved cobalt plumes occur in major oxygen minimum zones due to a combination of less scavenging and additions from sedimentary and remineralization fluxes. The GP15 US GEOTRACES Pacific Meridional Transect (PMT) provides an opportunity to examine the influence of oxygen depletion on cobalt chemistry. Moreover, the study of the protein component of microbial communities using new proteomic techniques will provide evidence of how different major microorganisms respond to the chemical environment (e.g. through transporter production for specific nutrients and micronutrients) as well as the biochemical basis for metal requirements related to the use of specific metalloenzymes. Specifically, the PMT provides an opportunity to confirm that the Pacific oxygen minimum zones contain a large amount of cobalt and to test the hypotheses that simultaneous zinc scarcity could induce wide-scale biochemical substitution of cobalt for zinc in the North Pacific Ocean. |
attribute | NC_GLOBAL | projects_3_end_date | String | 2019-10 |
attribute | NC_GLOBAL | projects_3_geolocation | String | Laboratory Study and Cultures from Northeast Pacific Line P Transect 48.8167 N 128.667 W |
attribute | NC_GLOBAL | projects_3_name | String | US GEOTRACES PMT: Cobalt Biogeochemical Cycling and Connections to Metalloenzymes in the Pacific Ocean |
attribute | NC_GLOBAL | projects_3_project_nid | String | 785826 |
attribute | NC_GLOBAL | projects_3_start_date | String | 2017-11 |
attribute | NC_GLOBAL | projects_4_acronym | String | MM Saito |
attribute | NC_GLOBAL | projects_4_description | String | In support of obtaining deeper knowledge of major biogeochemically relevant proteins to inform a mechanistic understanding of global marine biogeochemical cycles. |
attribute | NC_GLOBAL | projects_4_end_date | String | 2019-12 |
attribute | NC_GLOBAL | projects_4_name | String | Marine Microbial Investigator Award: Investigator Mak Saito |
attribute | NC_GLOBAL | projects_4_project_nid | String | 786672 |
attribute | NC_GLOBAL | projects_4_start_date | String | 2013-05 |
attribute | NC_GLOBAL | projects_5_acronym | String | Cyanobacteria Warming Responses |
attribute | NC_GLOBAL | projects_5_description | String | NSF abstract:\nThe oceans absorb much of the heat generated by human activities, and this warming of the surface ocean has consequences for important groups of marine organisms. Marine cyanobacteria are one such key group of organisms, since they supply much of the essential carbon and nitrogen that supports nearly all the rest of the marine food web. Currently, the growth of cyanobacteria is mostly constrained by scarce supplies of the micronutrient element iron, but they are also very sensitive to the ongoing increases in seawater temperature. Preliminary results suggest that warming could partly mitigate the negative effects of iron limitation on marine cyanobacteria. This project examines in depth how these interactions between warming and iron limitation will affect the future ocean carbon and nitrogen cycles, using laboratory culture experiments showing how cyanobacteria respond to simultaneously changing temperature and iron supplies. Both short-term response studies and long-term evolutionary experiments testing for adaptation use a comprehensive set of molecular biology tools targeting genes to proteins. The final goal is to apply the results of these experiments to improve quantitative models predicting how the ocean's carbon and nitrogen cycles, biological productivity, and living resources will respond to a warming future climate. Two graduate students, a postdoc and 3-4 underrepresented undergraduate researchers are supported, and the investigators also mentor summer science interns from largely Hispanic local high schools.\nThe physiology, biochemistry and biogeography of nitrogen-fixing cyanobacteria and unicellular picocyanobacteria are strongly influenced by temperature, subjecting them to intense selective pressure as the modern ocean steadily warms up. These groups have likewise been rigorously selected under chronic iron (Fe) scarcity, and the availability of this crucial micronutrient is also changing with a shifting climate. This project examines short-term acclimation and long-term evolutionary responses of Fe-stressed marine cyanobacteria to a warmer environment. Preliminary data show that Iron Use Efficiencies (IUE, mols N fixed.hr-1 mol cellular Fe-1) of Fe-limited Trichodesmium increase 4 to 5-fold with a 5oC temperature increase, allowing the cells to much more efficiently leverage scarce available Fe supplies to grow and fix nitrogen. This means that warming can to a large degree mitigate the negative effects of Fe limitation on Trichodesmium, resulting in a modelled 22% increase in global nitrogen fixation by 2100 in a warmer climate. This project aims to uncover the cellular biochemical mechanisms involved in this Fe-limitation/thermal IUE effect in a four-year experimental evolution study of the diazotrophs Trichodesmium and Crocosphaera and the picocyanobacteria Synechococcus and Prochlorococcus, under a multi-variate selection matrix of temperature and Fe availability. The objectives are to 1) Assess the long-term adaptive responses of fitness, IUE and physiology to Fe limitation and warming interactions in these four major cyanobacterial groups; 2) Determine the molecular and biochemical mechanisms behind the surprising Fe/warming interactive effect on IUE using genomics, transcriptomics and quantitative proteomics coupled with 'metalloproteomics' determinations of Fe content in critical proteins; 3) Compare and contrast acclimation and adaptation responses to Fe limitation and warming in key cyanobacteria taxa, and 4) Integrate results using a published biogeochemical modeling approach to assess global consequences for marine productivity and nitrogen fixation. This project offers a mechanistic and predictive understanding of adaptation to Fe and warming co-stressors in a rapidly changing future ocean environment for some of the most important photoautotrophic functional groups in the ocean.\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. |
attribute | NC_GLOBAL | projects_5_end_date | String | 2023-03 |
attribute | NC_GLOBAL | projects_5_name | String | Collaborative Research: Evolutionary, biochemical and biogeochemical responses of marine cyanobacteria to warming and iron limitation interactions |
attribute | NC_GLOBAL | projects_5_project_nid | String | 786679 |
attribute | NC_GLOBAL | projects_5_start_date | String | 2019-04 |
attribute | NC_GLOBAL | projects_6_acronym | String | O2 Min Metalloenzyme |
attribute | NC_GLOBAL | projects_6_description | String | NSF abstract:\nThough scarce and largely insoluble, trace metals are key components of sophisticated enzymes (protein molecules that speed up biochemical reactions) involved in biogeochemical cycles in the dark ocean (below 1000m). For example, metalloenzymes are involved in nearly every reaction in the nitrogen cycle. Yet, despite direct connections between trace metal and nitrogen cycles, the relationship between trace metal distributions and biological nitrogen cycling processes in the dark ocean have rarely been explored, likely due to the technical challenges associated with their study. Availability of the autonomous underwater vehicle (AUV) Clio, a sampling platform capable of collecting high-resolution vertical profile samples for biochemical and microbial measurements by large volume filtration of microbial particulate material, has overcome this challenge. Thus, this research project plans an interdisciplinary chemistry, biology, and engineering effort to test the hypothesis that certain chemical reactions, such as nitrite oxidation, could become limited by metal availability within the upper mesopelagic and that trace metal demands for nitrite-oxidizing bacteria may be increased under low oxygen conditions. Broader impacts of this study include the continued development and application of the Clio Biogeochemical AUV as a community resource by developing and testing its high-resolution and adaptive sampling capabilities. In addition, metaproteomic data will be deposited into the recently launched Ocean Protein Portal to allow oceanographers and the metals in biology community to examine the distribution of proteins and metalloenzymes in the ocean. Undergraduate students will be supported by this project at all three institutions, with an effort to recruit minority students. The proposed research will also be synergistic with the goals of early community-building efforts for a potential global scale microbial biogeochemistry program modeled after the success of the GEOTRACES program, provisionally called \"Biogeoscapes: Ocean metabolism and nutrient cycles on a changing planet\".\nThe proposed research project will test the following three hypotheses: (1) the microbial metalloenzyme distribution of the mesopelagic is spatially dynamic in response to environmental gradients in oxygen and trace metals, (2) nitrite oxidation in the Eastern Tropical Pacific Ocean can be limited by iron availability in the upper mesopelagic through an inability to complete biosynthesis of the microbial protein nitrite oxidoreductase, and (3) nitrite-oxidizing bacteria increase their metalloenzyme requirements at low oxygen, impacting the distribution of both dissolved and particulate metals within oxygen minimum zones. One of the challenges to characterizing the biogeochemistry of the mesopelagic ocean is an inability to effectively sample it. As a sampling platform, we will use the novel biogeochemical AUV Clio that enables high-resolution vertical profile samples for biochemical and microbial measurements by large volume filtration of microbial particulate material on a research expedition in the Eastern Tropical Pacific Ocean. Specific research activities will be orchestrated to test the hypotheses. Hypothesis 1 will be explored by comparison of hydrographic, microbial distributions, dissolved and particulate metal data, and metaproteomic results with profile samples collected by Clio. Hypothesis 2 will be tested by incubation experiments using 15NO2- oxidation rates on Clio-collected incubation samples. Hypothesis 3 will be tested by dividing targeted nitrite oxidoreductase protein copies by qPCR (quantitative polymerase chain reaction)-based nitrite oxidizing bacteria abundance (NOB) to determine if cellular copy number varies with oxygen distributions, and by metalloproteomic analyses of NOB cultures. The demonstration of trace metal limitation of remineralization processes, not just primary production, would transform our understanding of the role of metals in biogeochemical cycling and provide new ways with which to interpret sectional data of dissolved and particulate trace metal distributions in the ocean. The idea that oxygen may play a previously underappreciated role in controlling trace metals due not just to metals' physical chemistry, but also from changing biological demand, will improve our ability to predict trace metal distributions in the face of decreasing ocean oxygen content.\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. |
attribute | NC_GLOBAL | projects_6_end_date | String | 2022-10 |
attribute | NC_GLOBAL | projects_6_geolocation | String | Eastern Tropical Pacific |
attribute | NC_GLOBAL | projects_6_name | String | Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories |
attribute | NC_GLOBAL | projects_6_project_nid | String | 806565 |
attribute | NC_GLOBAL | projects_6_start_date | String | 2019-11 |
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 | -3.5 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Nitrite Oxidoreductase targeted metaproteomics from R/V Kilo Moana cruise KM1128 and R/V Falkor cruise FK160115 in the Central Pacific Ocean in 2011 and 2016. NxrA and NxrB peptide concentrations in fmol/L. Peptide names are using the GEOTRACES naming convention (PEP for peptide, full tryptic peptide amino acid sequence, Protein name, Sampling device (=Pump)). Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. These data were published in Saito et al., 2020 as Supplementary Table 1. |
attribute | NC_GLOBAL | time_coverage_end | String | 2016-01-27T06:30Z |
attribute | NC_GLOBAL | time_coverage_start | String | 2011-10-05T20:00Z |
attribute | NC_GLOBAL | title | String | [Pacific Nitrite Oxidoreductase] - Nitrite Oxidoreductase targeted metaproteomics from R/V Kilo Moana cruise KM1128 and R/V Falkor cruise FK160115 in the Central Pacific Ocean in 2011 and 2016 (Connecting Trace Elements and Metalloenzymes Across Marine Biogeochemical Gradients) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -160.77 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.5 |
variable | Expedition | String | ||
attribute | Expedition | bcodmo_name | String | cruise_id |
attribute | Expedition | description | String | Expedition (Cruise) identifier |
attribute | Expedition | long_name | String | Expedition |
attribute | Expedition | units | String | unitless |
variable | Station | byte | ||
attribute | Station | _FillValue | byte | 127 |
attribute | Station | actual_range | byte | 1, 8 |
attribute | Station | bcodmo_name | String | station |
attribute | Station | description | String | Station |
attribute | Station | long_name | String | Station |
attribute | Station | units | String | unitless |
variable | Long | float | ||
attribute | Long | _FillValue | float | NaN |
attribute | Long | actual_range | float | 140.0, 205.6 |
attribute | Long | bcodmo_name | String | lon_360 |
attribute | Long | colorBarMaximum | double | 180.0 |
attribute | Long | colorBarMinimum | double | -180.0 |
attribute | Long | description | String | Longitude (0 to 360 degrees) |
attribute | Long | long_name | String | Longitude |
attribute | Long | source_name | String | Long |
attribute | Long | standard_name | String | longitude |
attribute | Long | units | String | decimal degrees |
variable | longitude | double | ||
attribute | longitude | _CoordinateAxisType | String | Lon |
attribute | longitude | _FillValue | double | NaN |
attribute | longitude | actual_range | double | -160.77, 156.0 |
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 (-180 to 180) |
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 | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | -3.5, 17.0 |
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 | Lattitude |
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 | McLane_cast | String | ||
attribute | McLane_cast | bcodmo_name | String | cast |
attribute | McLane_cast | description | String | McLane pump cast identifier |
attribute | McLane_cast | long_name | String | Mc Lane Cast |
attribute | McLane_cast | units | String | unitless |
variable | McLane_time_local | String | ||
attribute | McLane_time_local | bcodmo_name | String | DateTime |
attribute | McLane_time_local | description | String | McLane pump date and time (local time zone HST, UTC-10) in format yyyy-mm-ddTHH:MM |
attribute | McLane_time_local | long_name | String | Mc Lane Time Local |
attribute | McLane_time_local | source_name | String | McLane_time_local |
attribute | McLane_time_local | time_precision | String | 1970-01-01T00:00Z |
attribute | McLane_time_local | units | String | unitless |
variable | time | double | ||
attribute | time | _CoordinateAxisType | String | Time |
attribute | time | actual_range | double | 1.3178448E9, 1.4538762E9 |
attribute | time | axis | String | T |
attribute | time | bcodmo_name | String | ISO_DateTime_UTC |
attribute | time | description | String | McLane pump date and time (time zone UTC) in ISO 8601 format yyyy-mm-ddTHH:MMZ |
attribute | time | ioos_category | String | Time |
attribute | time | long_name | String | Mc Lane ISO Date Time UTC |
attribute | time | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/ |
attribute | time | standard_name | String | time |
attribute | time | time_origin | String | 01-JAN-1970 00:00:00 |
attribute | time | time_precision | String | 1970-01-01T00:00Z |
attribute | time | units | String | seconds since 1970-01-01T00:00:00Z |
variable | depth | double | ||
attribute | depth | _CoordinateAxisType | String | Height |
attribute | depth | _CoordinateZisPositive | String | down |
attribute | depth | _FillValue | double | NaN |
attribute | depth | actual_range | double | 20.0, 1250.0 |
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 | 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 | PEP_LANQVALLDSIIR_NxrA_PUMP | float | ||
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP | _FillValue | float | NaN |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP | actual_range | float | 0.0, 73.17 |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP | description | String | Peptide amino acid sequence concentration [LANQVALLDSIIR] from protein NxrA from McLane pump samples. |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP | long_name | String | PEP LANQVALLDSIIR Nxr A PUMP |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG | byte | ||
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG | description | String | Quality flag for column PEP_LANQVALLDSIIR_NxrA_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG | long_name | String | PEP LANQVALLDSIIR Nxr A PUMP FLAG |
attribute | PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG | units | String | unitless |
variable | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP | float | ||
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP | _FillValue | float | NaN |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP | actual_range | float | 0.0, 288.52 |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP | description | String | Peptide amino acid sequence concentration [GGTLVAVAPEYNPPATK] from protein NxrA from McLane pump samples. |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP | long_name | String | PEP GGTLVAVAPEYNPPATK Nxr A PUMP |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG | byte | ||
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG | description | String | Quality flag for column PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG | long_name | String | PEP GGTLVAVAPEYNPPATK Nxr A PUMP FLAG |
attribute | PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG | units | String | unitless |
variable | PEP_MTIQWGK_NxrA_PUMP | float | ||
attribute | PEP_MTIQWGK_NxrA_PUMP | _FillValue | float | NaN |
attribute | PEP_MTIQWGK_NxrA_PUMP | actual_range | float | 0.03, 108.11 |
attribute | PEP_MTIQWGK_NxrA_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_MTIQWGK_NxrA_PUMP | description | String | Peptide amino acid sequence concentration [MTIQWGK] from protein NxrA from McLane pump samples. |
attribute | PEP_MTIQWGK_NxrA_PUMP | long_name | String | PEP MTIQWGK Nxr A PUMP |
attribute | PEP_MTIQWGK_NxrA_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_MTIQWGK_NxrA_PUMP_FLAG | byte | ||
attribute | PEP_MTIQWGK_NxrA_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_MTIQWGK_NxrA_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_MTIQWGK_NxrA_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_MTIQWGK_NxrA_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_MTIQWGK_NxrA_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_MTIQWGK_NxrA_PUMP_FLAG | description | String | Quality flag for column PEP_MTIQWGK_NxrA_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_MTIQWGK_NxrA_PUMP_FLAG | long_name | String | PEP MTIQWGK Nxr A PUMP FLAG |
attribute | PEP_MTIQWGK_NxrA_PUMP_FLAG | units | String | unitless |
variable | PEP_LHPDDFIPGYK_NxrA_PUMP | float | ||
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP | _FillValue | float | NaN |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP | actual_range | float | 0.06, 227.77 |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP | description | String | Peptide amino acid sequence concentration [LHPDDFIPGYK] from protein NxrA from McLane pump samples. |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP | long_name | String | PEP LHPDDFIPGYK Nxr A PUMP |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG | byte | ||
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG | description | String | Quality flag for column PEP_LHPDDFIPGYK_NxrA_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG | long_name | String | PEP LHPDDFIPGYK Nxr A PUMP FLAG |
attribute | PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG | units | String | unitless |
variable | PEP_ALIVNTPR_NxrA_PUMP | float | ||
attribute | PEP_ALIVNTPR_NxrA_PUMP | _FillValue | float | NaN |
attribute | PEP_ALIVNTPR_NxrA_PUMP | actual_range | float | 0.0, 391.34 |
attribute | PEP_ALIVNTPR_NxrA_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_ALIVNTPR_NxrA_PUMP | description | String | Peptide amino acid sequence concentration [ALIVNTPR] from protein NxrA from McLane pump samples. |
attribute | PEP_ALIVNTPR_NxrA_PUMP | long_name | String | PEP ALIVNTPR Nxr A PUMP |
attribute | PEP_ALIVNTPR_NxrA_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_ALIVNTPR_NxrA_PUMP_FLAG | byte | ||
attribute | PEP_ALIVNTPR_NxrA_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_ALIVNTPR_NxrA_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_ALIVNTPR_NxrA_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_ALIVNTPR_NxrA_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_ALIVNTPR_NxrA_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_ALIVNTPR_NxrA_PUMP_FLAG | description | String | Quality flag for column PEP_ALIVNTPR_NxrA_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_ALIVNTPR_NxrA_PUMP_FLAG | long_name | String | PEP ALIVNTPR Nxr A PUMP FLAG |
attribute | PEP_ALIVNTPR_NxrA_PUMP_FLAG | units | String | unitless |
variable | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP | float | ||
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP | _FillValue | float | NaN |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP | actual_range | float | 0.0, 85.94 |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP | description | String | Peptide amino acid sequence concentration [TQFYNDEPEAIEYGENFIVHR] from protein NxrA from McLane pump samples. |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP | long_name | String | PEP TQFYNDEPEAIEYGENFIVHR Nxr A PUMP |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG | byte | ||
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG | description | String | Quality flag for column PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG | long_name | String | PEP TQFYNDEPEAIEYGENFIVHR Nxr A PUMP FLAG |
attribute | PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG | units | String | unitless |
variable | PEP_GLWEPVR_NxrA_PUMP | float | ||
attribute | PEP_GLWEPVR_NxrA_PUMP | _FillValue | float | NaN |
attribute | PEP_GLWEPVR_NxrA_PUMP | actual_range | float | 0.0, 174.07 |
attribute | PEP_GLWEPVR_NxrA_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_GLWEPVR_NxrA_PUMP | description | String | Peptide amino acid sequence concentration [GLWEPVR] from protein NxrA from McLane pump samples. |
attribute | PEP_GLWEPVR_NxrA_PUMP | long_name | String | PEP GLWEPVR Nxr A PUMP |
attribute | PEP_GLWEPVR_NxrA_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_GLWEPVR_NxrA_PUMP_FLAG | byte | ||
attribute | PEP_GLWEPVR_NxrA_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_GLWEPVR_NxrA_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_GLWEPVR_NxrA_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_GLWEPVR_NxrA_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_GLWEPVR_NxrA_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_GLWEPVR_NxrA_PUMP_FLAG | description | String | Quality flag for column PEP_GLWEPVR_NxrA_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_GLWEPVR_NxrA_PUMP_FLAG | long_name | String | PEP GLWEPVR Nxr A PUMP FLAG |
attribute | PEP_GLWEPVR_NxrA_PUMP_FLAG | units | String | unitless |
variable | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP | float | ||
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP | _FillValue | float | NaN |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP | actual_range | float | 0.0, 119.69 |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP | description | String | Peptide amino acid sequence concentration [AIHGVYEGVTIFEAPAK] from protein NxrB from McLane pump samples. |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP | long_name | String | PEP AIHGVYEGVTIFEAPAK Nxr B PUMP |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP_FLAG | byte | ||
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP_FLAG | description | String | Quality flag for column PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP_FLAG | long_name | String | PEP AIHGVYEGVTIFEAPAK Nxr B PUMP FLAG |
attribute | PEP_AIHGVYEGVTIFEAPAK_NxrB_PUMP_FLAG | units | String | unitless |
variable | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP | float | ||
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP | _FillValue | float | NaN |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP | actual_range | float | 0.0, 416.82 |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP | colorBarMaximum | double | 150.0 |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP | colorBarMinimum | double | 0.0 |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP | description | String | Peptide amino acid sequence concentration [IGLNQQAVGYVPTDEEWR] from protein NxrB from McLane pump samples. |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP | long_name | String | PEP IGLNQQAVGYVPTDEEWR Nxr B PUMP |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP_FLAG | byte | ||
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP_FLAG | description | String | Quality flag for column PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP_FLAG | long_name | String | PEP IGLNQQAVGYVPTDEEWR Nxr B PUMP FLAG |
attribute | PEP_IGLNQQAVGYVPTDEEWR_NxrB_PUMP_FLAG | units | String | unitless |
variable | PEP_FPNFGEDTAHGR_NxrB_PUMP | float | ||
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP | _FillValue | float | NaN |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP | actual_range | float | 0.01, 135.91 |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP | description | String | Peptide amino acid sequence concentration [FPNFGEDTAHGR] from protein NxrB from McLane pump samples. |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP | long_name | String | PEP FPNFGEDTAHGR Nxr B PUMP |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_FPNFGEDTAHGR_NxrB_PUMP_FLAG | byte | ||
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP_FLAG | description | String | Quality flag for column PEP_FPNFGEDTAHGR_NxrB_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP_FLAG | long_name | String | PEP FPNFGEDTAHGR Nxr B PUMP FLAG |
attribute | PEP_FPNFGEDTAHGR_NxrB_PUMP_FLAG | units | String | unitless |
variable | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP | float | ||
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP | _FillValue | float | NaN |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP | actual_range | float | 0.01, 238.41 |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP | description | String | Peptide amino acid sequence concentration [ICNHCTYPGCLAACPR] from protein NxrB from McLane pump samples. |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP | long_name | String | PEP ICNHCTYPGCLAACPR Nxr B PUMP |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP_FLAG | byte | ||
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP_FLAG | description | String | Quality flag for column PEP_ICNHCTYPGCLAACPR_NxrB_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP_FLAG | long_name | String | PEP ICNHCTYPGCLAACPR Nxr B PUMP FLAG |
attribute | PEP_ICNHCTYPGCLAACPR_NxrB_PUMP_FLAG | units | String | unitless |
variable | PEP_DLLGILQLFR_NxrB_PUMP | float | ||
attribute | PEP_DLLGILQLFR_NxrB_PUMP | _FillValue | float | NaN |
attribute | PEP_DLLGILQLFR_NxrB_PUMP | actual_range | float | 0.0, 90.07 |
attribute | PEP_DLLGILQLFR_NxrB_PUMP | bcodmo_name | String | amino_conc |
attribute | PEP_DLLGILQLFR_NxrB_PUMP | description | String | Peptide amino acid sequence concentration [DLLGILQLFR] from protein NxrB from McLane pump samples. |
attribute | PEP_DLLGILQLFR_NxrB_PUMP | long_name | String | PEP DLLGILQLFR Nxr B PUMP |
attribute | PEP_DLLGILQLFR_NxrB_PUMP | units | String | femtomoles per liter (fmol/L) |
variable | PEP_DLLGILQLFR_NxrB_PUMP_FLAG | byte | ||
attribute | PEP_DLLGILQLFR_NxrB_PUMP_FLAG | _FillValue | byte | 127 |
attribute | PEP_DLLGILQLFR_NxrB_PUMP_FLAG | actual_range | byte | 1, 6 |
attribute | PEP_DLLGILQLFR_NxrB_PUMP_FLAG | bcodmo_name | String | q_flag |
attribute | PEP_DLLGILQLFR_NxrB_PUMP_FLAG | colorBarMaximum | double | 150.0 |
attribute | PEP_DLLGILQLFR_NxrB_PUMP_FLAG | colorBarMinimum | double | 0.0 |
attribute | PEP_DLLGILQLFR_NxrB_PUMP_FLAG | description | String | Quality flag for column PEP_DLLGILQLFR_NxrB_PUMP. Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit. |
attribute | PEP_DLLGILQLFR_NxrB_PUMP_FLAG | long_name | String | PEP DLLGILQLFR Nxr B PUMP FLAG |
attribute | PEP_DLLGILQLFR_NxrB_PUMP_FLAG | units | String | unitless |
variable | NxrA_mean | float | ||
attribute | NxrA_mean | _FillValue | float | NaN |
attribute | NxrA_mean | actual_range | float | 0.0162, 162.8059 |
attribute | NxrA_mean | bcodmo_name | String | mean |
attribute | NxrA_mean | description | String | Average of NxrA peptides |
attribute | NxrA_mean | long_name | String | Nxr A Mean |
attribute | NxrA_mean | units | String | femtomoles per liter (fmol/L) |
variable | NxrA_std | float | ||
attribute | NxrA_std | _FillValue | float | NaN |
attribute | NxrA_std | actual_range | float | 0.0223, 137.441 |
attribute | NxrA_std | bcodmo_name | String | standard deviation |
attribute | NxrA_std | description | String | Standard Deviation of NxrA peptides |
attribute | NxrA_std | long_name | String | Nxr A Std |
attribute | NxrA_std | units | String | femtomoles per liter (fmol/L) |
variable | NxrB_mean | float | ||
attribute | NxrB_mean | _FillValue | float | NaN |
attribute | NxrB_mean | actual_range | float | 0.0113, 155.0874 |
attribute | NxrB_mean | bcodmo_name | String | mean |
attribute | NxrB_mean | description | String | Average of NxrB peptides |
attribute | NxrB_mean | long_name | String | Nxr B Mean |
attribute | NxrB_mean | units | String | femtomoles per liter (fmol/L) |
variable | NxrB_std | float | ||
attribute | NxrB_std | _FillValue | float | NaN |
attribute | NxrB_std | actual_range | float | 0.0045, 168.6216 |
attribute | NxrB_std | bcodmo_name | String | standard deviation |
attribute | NxrB_std | description | String | Standard Deviation of NxrB peptides |
attribute | NxrB_std | long_name | String | NXR B STD |
attribute | NxrB_std | units | String | femtomoles per liter (fmol/L) |
variable | NxrAB_mean | float | ||
attribute | NxrAB_mean | _FillValue | float | NaN |
attribute | NxrAB_mean | actual_range | float | 0.0137, 145.8915 |
attribute | NxrAB_mean | bcodmo_name | String | mean |
attribute | NxrAB_mean | description | String | Average of NxrA and NxrB averages |
attribute | NxrAB_mean | long_name | String | Nxr AB Mean |
attribute | NxrAB_mean | units | String | femtomoles per liter (fmol/L) |
variable | Fe_as_NxrAB | double | ||
attribute | Fe_as_NxrAB | _FillValue | double | NaN |
attribute | Fe_as_NxrAB | actual_range | double | 3.151E-4, 3.3555045 |
attribute | Fe_as_NxrAB | bcodmo_name | String | Fe |
attribute | Fe_as_NxrAB | description | String | Concentration of Fe within NxrAB |
attribute | Fe_as_NxrAB | long_name | String | Fe As Nxr AB |
attribute | Fe_as_NxrAB | units | String | picomoles per liter (pmol/L) |