Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3872.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3872 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3872.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3872/ | public | [bacterial_production] - Bacterial production in microcosm experiments from samples collected by R/V E.O. Wilson in the Gulf of Mexico, Alabama (En-Gen DMSP Cycling project) (En-Gen: A Functional Genomics Approach to Organic Sulfur Cycling in the Ocean) | Bacterial production measurements from control and experimental microcosms from the Dauphin Island Cubitainer Experiment (DICE).\n\ncdm_data_type = Other\nVARIABLES:\nexp_id (text)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsite_desc (text)\nmicrocosm (text)\nmicrocosm_type (text)\nexp_day (integer)\nmean (dpm)\nmean_minus_blank (dpm)\nstdev (dpm)\ncoeff_var (%)\ninc_time (hours)\nleu_inc_per_h (nM Leu per hour)\nleu_inc_per_d (nM Leu per day)\nstdev_calc (nM Leu per day)\nbact_prod (nM Carbon per day)\nbact_prod_err (nM Carbon per day)\nbact_C_demand (nM Carbon per day)\nbact_C_demand_err (nM Carbon per day)\nbact_S_prod (nM Sulfur per day)\nreplicate (unitless)\ndpm (dpm)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3872_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3872_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3872/index.htmlTable | https://www.bco-dmo.org/dataset/3872
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3872.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3872&showErrors=false&email= | BCO-DMO | bcodmo_dataset_3872 | ||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_756510 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_756510.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_756510/ | public | [Breviolum antillogorgium cell counts] - Cell counts of Breviolum antillogorgium cultures isolated from the octocoral Antillogorgia bipinnata by sample and treatment for cultures historically grown at 26C and 30C and reciprocally grown at 26C and 30C, Oct - Dec 2018 (RUI: Collaborative Research: Genetic variation as a driver of host and symbiont response to increased temperature on coral reefs) | Cell counts of Breviolum antillogorgium cultures isolated from the octocoral Antillogorgia bipinnata by sample and treatment for cultures historically grown at 26 and 30 degrees C and reciprocally grown at 26 and 30 degrees C\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nDay (days)\nCulture_ID (unitless)\nCount_1 (cells x 10^4/milliliter (cells x 10^4 ml-1))\nCount_2 (cells x 10^4/milliliter (cells x 10^4 ml-1))\nCount_3 (cells x 10^4/milliliter (cells x 10^4 ml-1))\nCount_4 (cells x 10^4/milliliter (cells x 10^4 ml-1))\nCount_5 (cells x 10^4/milliliter (cells x 10^4 ml-1))\nCount_6 (cells x 10^4/milliliter (cells x 10^4 ml-1))\nMean (cells x 10^4/milliliter (cells x 10^4 ml-1))\n | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_756510_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_756510/index.htmlTable | https://www.bco-dmo.org/dataset/756510
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_756510.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_756510&showErrors=false&email= | BCO-DMO | bcodmo_dataset_756510 | ||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911212_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911212_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911212_v1/ | public | [Epiphytic bacteria methane production data] - MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) (Collaborative Research: Do Cyanobacteria Drive Marine Hydrocarbon Biogeochemistry?) | The essential nutrient phosphorus is biologically scarce in the Sargasso Sea, yet the pelagic macroalgae Sargassum, for which this area of the North Atlantic Ocean is named, thrives. We tested the hypothesis that Sargassum holobionts utilize methylphosphonate (MPn) as an alternative source of phosphorus, finding lysis liberated phosphonate-derived methane. The observed activity occurred at concentrations as low as 35 nM MPn and was inhibited by antibiotics, implicating microbial members of the holobiont capable of MPn lysis at realistic environmental concentrations. A survey of macroalgal species inhabiting the Sargasso Sea found a ubiquitous capacity for MPn lysis; such capacity was absent in species inhabiting phosphorus-replete waters of the California Current, pointing to phosphorous limitation as a selective pressure. These results suggest algal holobionts may conditionally acquire phosphorus from phosphonates while simultaneously serving as a source of atmospheric methane.\n\ncdm_data_type = Other\nVARIABLES:\nOrder (unitless)\nDate (unitless)\nTrial (unitless)\nCondition (unitless)\nNumber_of_Replicates (count)\nInitial_MPn (nM)\nAdditional_Amendments (unitless)\nBottle (unitless)\nT1_Timepoint (days)\nT1_Timepoint_mean_CH4_production (nmol g^-1)\nT1_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)\nT2_Timepoint (days)\nT2_Timepoint_mean_CH4_production (nmol g^-1)\nT2_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)\nT3_Timepoint (days)\nT3_Timepoint_CH4_production (nmol g^-1)\nT3_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)\n... (40 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911212_v1/index.htmlTable | https://www.bco-dmo.org/dataset/911212
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911212_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911212_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_911212_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918852_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918852_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918852_v1/ | public | [T. pseudonana starve-recover experiments: Gene information] - Diatom (Thalassiosira pseudonana) gene information from experiments designed to study single-cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms conducted in December of 2022 (EAGER: Diatom Programmed Cell Death at Single-Cell Resolution) | This dataset includes gene information for diatom Thalassiosira pseudonana grown during an experiment conducted as part of a study of \"Single-Cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms.\" See \"Related Datasets\" section for T. pseudonana physiological data and cell information collected as part of the same study and experiments.\n\n\nStudy description: \n\nDiatoms (Bacillariophyceae) are unicellular photosynthetic algae, accounting for about 40% of total marine primary production (equivalent to terrestrial rainforests) and critical ecological players in the contemporary ocean. Diatoms can form enormous blooms in the ocean that can be seen from space and are the base of food webs in coastal and upwelling systems, support essential fisheries, and are central to the biogeochemical cycling of important nutrients such as carbon and silicon. Over geological time, diatoms have influenced the world's climate by changing the carbon flux into the oceans. \n\nDiatoms have traditionally been studied on a population level. Growth is often measured by the total increase in biomass, and gene expression is analyzed by isolating mRNA from thousands or millions of cells. These methods generate a valuable analysis on the population's average functioning; however, they fail to show how each individual diatom cell contributes to the population phenotype. Bulk transcriptomes confound different stages and variability of cell states in heterogeneous populations. By contrast, single-cell transcriptomics measures gene expression in thousands of individual diatoms providing a quantitative and ultrahigh-resolution picture of transient cell states in population fractions enabling the reconstruction of the various phenotypic trajectories. Thus, the single-cell physiological and molecular parameters analysis allows an unsupervised assessment of cell heterogeneity within a population—a new dimension in diatoms and phytoplankton in general. \n\nIn this dataset, we examine the model diatom Thalassiosira pseudonana clonal cells grown in different nitrogen conditions, at the single cell level when grown in a light: dark cycle (12:12 h). Nitrogen is the major limiting nutrient for primary production and growth in the ocean's surface, specifically for diatoms and the food webs they support. We investigate nutrient limitation, starvation and recovery. We used droplet-based, single-cell transcriptomics to analyze ten samples in two stages. In the first stage (\"starvation\"), six samples were collected over four days of culture as nutrient levels decreased. In the second stage (\"recovery\"), four samples were collected over twelve hours after nutrients were replenished.\n\ncdm_data_type = Other\nVARIABLES:\nstage (unitless)\n... (5 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918852_v1/index.htmlTable | https://www.bco-dmo.org/dataset/918852
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918852_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918852_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_918852_v1 |