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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 | |
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https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753343.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753343 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753343.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_753343/ | public | [ESP 2016 Seq] - Metagenomic, metatranscriptomic, and single cell sequencing data from an Environmental Sample Processor deployment in Monterey Bay, CA in 2016. (Bacterial Taxa that Control Sulfur Flux from the Ocean to the Atmosphere) | These metagenomic and metatranscriptomic time-series data cover a 52-day period in the fall of 2016 during an intense bloom of the dinoflagellate Akashiwo sanguinea in Monterey Bay, CA, USA. The dataset comprises 84 metagenomes, 82 metatranscriptomes, and 88 16S rRNA amplicon libraries that capture the functions and taxonomy the bacterial and archaeal community. In addition, 88 18S rRNA amplicon libraries describe the taxonomy of the eukaryotic community during the bloom. Microbial cells were collected at station M0 using the moored autonomous robotic Environmental Sample Processor (ESP) instrument and preserved with RNAlater in the instrument until retrieval.\n\ncdm_data_type = Other\nVARIABLES:\nGOLD_Project_ID (unitless)\nAnalysis_Project_Name (unitless)\nType (unitless)\nAssembly_Method (unitless)\nCollection_Date (unitless)\nInstrument (unitless)\nJGI_Contigs_Link (unitless)\nJGI_Project_ID (unitless)\nJGI_Sample_ID (unitless)\nJGI_Sequencing_Project_ID (unitless)\nJGI_Sequencing_Project_Name (unitless)\nLatitude_and_Longitude (Longitude, unitless)\nNCBI_BioProject_Accession (NCBI Bio Project Accession, unitless)\nNCBI_BioSample_Accession (NCBI Bio Sample Accession, unitless)\nNCBI_Project_ID (unitless)\nNCBI_SRA_Accession_ID (unitless)\nSample_Name (unitless)\nSequencing_Run_Mode (unitless)\nTotal_Bases (unitless)\nVolume_Seawater_Filtered (milliliters (mL))\nenv_biome (unitless)\n... (5 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_753343_fgdc.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_753343/index.htmlTable | https://www.bco-dmo.org/dataset/753343![]() | https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_753343.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_753343&showErrors=false&email= | BCO-DMO | bcodmo_dataset_753343 | |||
log in | [Thalassiosira pseudonana CCMP1335 endometabolite uptake by Ruegeria pomeroyi DSS-3] - Thalassiosira pseudonana CCMP1335 endometabolite uptake by Ruegeria pomeroyi DSS-3 (Effects of Climate Change Variables on Microbial Autotroph-Heterotroph Carbon Flux) | The ocean's temperature increase has fundamental implications for physiological rates and processes of marine microbes. In this study, a marine diatom Thalassiosira pseudonana CCMP1335 was acclimated for three months at temperatures below (14°C), equal to (20°C), and above (28°C). Heterotrophic bacterium Ruegeria pomeroyi DSS-3 was inoculated into cultures, and transporter expression was compared between temperatures. R. pomeroyi transporter expression leveraged as a biosensor of available diatom exometabolites indicated temperature-related substitution of diatom osmolytes dimethylsulfoniopropionate (DMSP), dihydroxypropanesulfonate (DHPS), and homarine (dominating carbon transfer at lower temperatures) with glycine betaine and choline (dominating at higher temperatures). T. pseudonana endometabolome pools and biosynthetic pathway expression indicated increased availability of amino acids and glycerol-3-phosphate at higher temperatures. Overall trends across datasets supported a greater importance of organic sulfur compounds in diatom-bacterial metabolite transfer at lower temperatures and greater importance of organic nitrogen compounds at higher temperatures.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\nSample_ID (unitless)\nMetabolomics_Workbench_Project_ID (unitless)\nMetabolomics_Workbench_Study_ID (unitless)\nMetabolomics_Workbench_Sample_ID (unitless)\nNumber (unitless)\nTemperature (degrees Celsius (°C))\nReplicate (unitless)\nCulture (unitless)\nJGI_Sample_ID (unitless)\nTime_Point_h (hours (h))\nBacteria_presence (unitless)\nGlycine_Betaine (NMR peak intensity per biovolume)\nProline (NMR peak intensity per biovolume)\nDHPS (NMR peak intensity per biovolume)\n... (13 more variables)\n | BCO-DMO | bcodmo_dataset_928203_v1 |