BCO-DMO ERDDAP
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Row Type | Variable Name | Attribute Name | Data Type | Value |
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attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv |
attribute | NC_GLOBAL | acquisition_description | String | Published methodology in Landa et al., 2017, ISME Journal, in press.\n \nOne liter samples were filtered through 2-um polycarbonate (PC) membranes to\ncollect bacterial cells and flash-frozen in liquid nitrogen and stored at\n-80C. Filters were extracted for RNA by the acid\nphenol:chloroform:isoamylalcohol method. Potential traces of DNA were removed\nusing the Turbo DNA-free kit (Invitrogen, Waltham, MA, USA). Samples were\ntested for residual DNA by a 40-cycle PCR targeting the 16S rRNA gene of R.\npomeroyi. Samples were depleted of rRNA using custom probes for small and\nlarge subunit rRNA genes from all three microbes (Stewart et al., 2010).\nLibraries were prepared for two replicate cubitainers at 8 time points (16\nsamples) using the KAPA Stranded mRNA-Seq Kit (Kapa Biosystems, Wilmington,\nMA, USA) at the Georgia Genomics Facility (University of Georgia) and\nsequenced on a HiSeq Illumina 2500 at the Hudson Alpha Institute for\nBiotechnology (AL, USA).\n \nReference cited: \n Stewart FJ, Ottesen EA, DeLong EF. (2010). Development and quantitative\nanalyses of a universal rRNA-subtraction protocol for microbial\nmetatranscriptomics. ISME J 4: 896\\u2013907.\ndoi:[10.1038/ismej.2010.18](\\\\\"https://dx.doi.org/10.1038/ismej.2010.18\\\\\") |
attribute | NC_GLOBAL | awards_0_award_nid | String | 541254 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1342694 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1342694 |
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 | David L. Garrison |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Switch RNAseq Data \n PI: Mary Ann Moran (University of Georgia) \n Version: 29 November 2017 \n Note: Transcript counts are reported in TPM (transcripts per million). This is the number of transcript \n reads mapped to an individual gene for every million transcripts mapped to the entire genome. |
attribute | NC_GLOBAL | Conventions | String | COARDS, CF-1.6, ACDD-1.3 |
attribute | NC_GLOBAL | creator_email | String | info at bco-dmo.org |
attribute | NC_GLOBAL | creator_name | String | BCO-DMO |
attribute | NC_GLOBAL | creator_type | String | institution |
attribute | NC_GLOBAL | creator_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | date_created | String | 2017-11-27T20:45:13Z |
attribute | NC_GLOBAL | date_modified | String | 2020-01-14T16:35:14Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.719970.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/719970 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Automated Sequencer |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Transcripts were sequenced on a HiSeq Illumina 2500 at the Hudson Alpha Institute for Biotechnology (AL, USA). |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 720063 |
attribute | NC_GLOBAL | instruments_0_description | String | General term for a laboratory instrument used for deciphering the order of bases in a strand of DNA. Sanger sequencers detect fluorescence from different dyes that are used to identify the A, C, G, and T extension reactions. Contemporary or Pyrosequencer methods are based on detecting the activity of DNA polymerase (a DNA synthesizing enzyme) with another chemoluminescent enzyme. Essentially, the method allows sequencing of a single strand of DNA by synthesizing the complementary strand along it, one base pair at a time, and detecting which base was actually added at each step. |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Automated DNA Sequencer |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 649 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | HiSeq Illumina 2500 |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, chemical, data, dataset, day12, Day12_R1, Day12_R2, day15, Day15_R1, Day15_R2, day18, Day18_R1, Day18_R2, day23, Day23_R1, Day23_R2, day30, Day30_R1, Day30_R2, day37, Day37_R1, Day37_R2, day7, Day7_R1, Day7_R2, day9, Day9_R1, Day9_R2, description, dmo, erddap, locus, Locus_Tag, management, oceanography, office, preliminary, tag |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/719970/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/719970 |
attribute | NC_GLOBAL | param_mapping | String | {'719970': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/719970/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of Georgia |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | UGA |
attribute | NC_GLOBAL | people_0_person_name | String | Mary Ann Moran |
attribute | NC_GLOBAL | people_0_person_nid | String | 51592 |
attribute | NC_GLOBAL | people_0_role | String | Principal Investigator |
attribute | NC_GLOBAL | people_0_role_type | String | originator |
attribute | NC_GLOBAL | people_1_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_1_person_name | String | Shannon Rauch |
attribute | NC_GLOBAL | people_1_person_nid | String | 51498 |
attribute | NC_GLOBAL | people_1_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_1_role_type | String | related |
attribute | NC_GLOBAL | project | String | OceanSulfurFluxBact |
attribute | NC_GLOBAL | projects_0_acronym | String | OceanSulfurFluxBact |
attribute | NC_GLOBAL | projects_0_description | String | Surface ocean bacterioplankton preside over a divergence point in the marine sulfur cycle where the fate of dimethylsulfoniopropionate (DMSP) is determined. While it is well recognized that this juncture influences the fate of sulfur in the ocean and atmosphere, its regulation by bacterioplankton is not yet understood. Based on recent findings in biogeochemistry, bacterial physiology, bacterial genetics, and ocean instrumentation, the microbial oceanography community is poised to make major advances in knowledge of this control point. This research project is ascertaining how the major taxa of bacterial DMSP degraders in seawater regulate DMSP transformations, and addresses the implications of bacterial functional, genetic, and taxonomic diversity for global sulfur cycling.\nThe project is founded on the globally important function of bacterial transformation of the ubiquitous organic sulfur compound DMSP in ocean surface waters. Recent genetic discoveries have identified key genes in the two major DMSP degradation pathways, and the stage is now set to identify the factors that regulate gene expression to favor one or the other pathway during DMSP processing. The taxonomy of the bacteria mediating DMSP cycling has been deduced from genomic and metagenomic sequencing surveys to include four major groups of surface ocean bacterioplankton. How regulation of DMSP degradation differs among these groups and maps to phylogeny in co-occurring members is key information for understanding the marine sulfur cycle and predicting its function in a changing ocean. Using model organism studies, microcosm experiments (at Dauphin Island Sea Lab, AL), and time-series field studies with an autonomous sample collection instrument (at Monterey Bay, CA), this project is taking a taxon-specific approach to decipher the regulation of bacterial DMSP degradation.\nThis research addresses fundamental questions of how the diversity of microbial life influences the geochemical environment of the oceans and atmosphere, linking the genetic basis of metabolic potential to taxonomic diversity. The project is training graduate students and post-doctoral scholars in microbial biodiversity and providing research opportunities and mentoring for undergraduate students. An outreach program is enhance understanding of the role and diversity of marine microorganisms in global elemental cycles among high school students. Advanced Placement Biology students are participating in marine microbial research that covers key learning goals in the AP Biology curriculum. Two high school students are selected each year for summer research internships in PI laboratories. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2018-12 |
attribute | NC_GLOBAL | projects_0_name | String | Bacterial Taxa that Control Sulfur Flux from the Ocean to the Atmosphere |
attribute | NC_GLOBAL | projects_0_project_nid | String | 541255 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2014-01 |
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 | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Transcriptional profile of marine bacterium Ruegeria pomeroyi in a three-member co-culture study. This dataset contains the processed, QC'ed, normalized sequence data. The full raw data file is deposited in the NCBI BioProject database under accession PRJNA381627. |
attribute | NC_GLOBAL | title | String | [Switch RNAseq] - Transcriptional profile of marine bacterium Ruegeria pomeroyi in a three-member co-culture study (Bacterial Taxa that Control Sulfur Flux from the Ocean to the Atmosphere) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Locus_Tag | String | ||
attribute | Locus_Tag | bcodmo_name | String | sample |
attribute | Locus_Tag | description | String | gene identifier |
attribute | Locus_Tag | long_name | String | Locus Tag |
attribute | Locus_Tag | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | Locus_Tag | units | String | unitless |
variable | Description | String | ||
attribute | Description | bcodmo_name | String | brief_desc |
attribute | Description | description | String | gene function, if known |
attribute | Description | long_name | String | Description |
attribute | Description | units | String | unitless |
variable | Day7_R1 | String | ||
attribute | Day7_R1 | bcodmo_name | String | count |
attribute | Day7_R1 | description | String | Transcript count by day and replicate: day 7, replicate 1 |
attribute | Day7_R1 | long_name | String | Day7 R1 |
attribute | Day7_R1 | units | String | TPM (transcripts per million) |
variable | Day7_R2 | String | ||
attribute | Day7_R2 | bcodmo_name | String | count |
attribute | Day7_R2 | description | String | Transcript count by day and replicate: day 7, replicate 2 |
attribute | Day7_R2 | long_name | String | Day7 R2 |
attribute | Day7_R2 | units | String | TPM (transcripts per million) |
variable | Day9_R1 | String | ||
attribute | Day9_R1 | bcodmo_name | String | count |
attribute | Day9_R1 | description | String | Transcript count by day and replicate: day 9, replicate 1 |
attribute | Day9_R1 | long_name | String | Day9 R1 |
attribute | Day9_R1 | units | String | TPM (transcripts per million) |
variable | Day9_R2 | String | ||
attribute | Day9_R2 | bcodmo_name | String | count |
attribute | Day9_R2 | description | String | Transcript count by day and replicate: day 9, replicate 2 |
attribute | Day9_R2 | long_name | String | Day9 R2 |
attribute | Day9_R2 | units | String | TPM (transcripts per million) |
variable | Day12_R1 | String | ||
attribute | Day12_R1 | bcodmo_name | String | count |
attribute | Day12_R1 | description | String | Transcript count by day and replicate: day 12, replicate 1 |
attribute | Day12_R1 | long_name | String | Day12 R1 |
attribute | Day12_R1 | units | String | TPM (transcripts per million) |
variable | Day12_R2 | String | ||
attribute | Day12_R2 | bcodmo_name | String | count |
attribute | Day12_R2 | description | String | Transcript count by day and replicate: day 12, replicate 2 |
attribute | Day12_R2 | long_name | String | Day12 R2 |
attribute | Day12_R2 | units | String | TPM (transcripts per million) |
variable | Day15_R1 | String | ||
attribute | Day15_R1 | bcodmo_name | String | count |
attribute | Day15_R1 | description | String | Transcript count by day and replicate: day 15, replicate 1 |
attribute | Day15_R1 | long_name | String | Day15 R1 |
attribute | Day15_R1 | units | String | TPM (transcripts per million) |
variable | Day15_R2 | String | ||
attribute | Day15_R2 | bcodmo_name | String | count |
attribute | Day15_R2 | description | String | Transcript count by day and replicate: day 15, replicate 2 |
attribute | Day15_R2 | long_name | String | Day15 R2 |
attribute | Day15_R2 | units | String | TPM (transcripts per million) |
variable | Day18_R1 | String | ||
attribute | Day18_R1 | bcodmo_name | String | count |
attribute | Day18_R1 | description | String | Transcript count by day and replicate: day 18, replicate 1 |
attribute | Day18_R1 | long_name | String | Day18 R1 |
attribute | Day18_R1 | units | String | TPM (transcripts per million) |
variable | Day18_R2 | String | ||
attribute | Day18_R2 | bcodmo_name | String | count |
attribute | Day18_R2 | description | String | Transcript count by day and replicate: day 18, replicate 2 |
attribute | Day18_R2 | long_name | String | Day18 R2 |
attribute | Day18_R2 | units | String | TPM (transcripts per million) |
variable | Day23_R1 | String | ||
attribute | Day23_R1 | bcodmo_name | String | count |
attribute | Day23_R1 | description | String | Transcript count by day and replicate: day 23, replicate 1 |
attribute | Day23_R1 | long_name | String | Day23 R1 |
attribute | Day23_R1 | units | String | TPM (transcripts per million) |
variable | Day23_R2 | String | ||
attribute | Day23_R2 | bcodmo_name | String | count |
attribute | Day23_R2 | description | String | Transcript count by day and replicate: day 23, replicate 2 |
attribute | Day23_R2 | long_name | String | Day23 R2 |
attribute | Day23_R2 | units | String | TPM (transcripts per million) |
variable | Day30_R1 | String | ||
attribute | Day30_R1 | bcodmo_name | String | count |
attribute | Day30_R1 | description | String | Transcript count by day and replicate: day 30, replicate 1 |
attribute | Day30_R1 | long_name | String | Day30 R1 |
attribute | Day30_R1 | units | String | TPM (transcripts per million) |
variable | Day30_R2 | String | ||
attribute | Day30_R2 | bcodmo_name | String | count |
attribute | Day30_R2 | description | String | Transcript count by day and replicate: day 30, replicate 2 |
attribute | Day30_R2 | long_name | String | Day30 R2 |
attribute | Day30_R2 | units | String | TPM (transcripts per million) |
variable | Day37_R1 | String | ||
attribute | Day37_R1 | bcodmo_name | String | count |
attribute | Day37_R1 | description | String | Transcript count by day and replicate: day 37, replicate 1 |
attribute | Day37_R1 | long_name | String | Day37 R1 |
attribute | Day37_R1 | units | String | TPM (transcripts per million) |
variable | Day37_R2 | String | ||
attribute | Day37_R2 | bcodmo_name | String | count |
attribute | Day37_R2 | description | String | Transcript count by day and replicate: day 37, replicate 2 |
attribute | Day37_R2 | long_name | String | Day37 R2 |
attribute | Day37_R2 | units | String | TPM (transcripts per million) |