Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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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_747872.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747872 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747872.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_747872/ | public | [Heterosigma akashiwo acclimation] - NCBI accessions of the harmful alga Heterosigma akashiwo (CCMP2393) grown under a range of CO2 concentrations from 200-1000 ppm (Impacts of Evolution on the Response of Phytoplankton Populations to Rising CO2) | This dataset includes metadata associated with NCBI BioProject PRJNA377729 \\Impacts of Evolution on the Response of Phytoplankton Populations to Rising CO2\\ PRJNA377729: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA377729. The alga Heterosigma akashiwo was grown at CO2 levels from about 200 to 1000 ppm and then the DNA and RNA were sequenced.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nsample_title (unitless)\nbioproject_accession (unitless)\norganism (unitless)\nstrain (unitless)\nisolate (unitless)\nhost (unitless)\nisolation_source (unitless)\ntime (Collection Date, seconds since 1970-01-01T00:00:00Z)\ngeo_loc_name (unitless)\nsample_type (unitless)\nbiomaterial_provider (unitless)\ncollected_by (unitless)\ndepth (m)\nenv_biome (unitless)\ngenotype (unitless)\nlat_lon (Latitude, decimal degrees)\npassage_history (unitless)\nsamp_size (unitless)\ntemp_C (degrees Celsius)\nlight_level_umol_m2_s (micromol photons m-2 s-1)\nlight_dark_hr (hours)\nMedia (unitless)\nCO2_ppm (parts per million)\nAlkalinity (micromol per kilogram (umol/kg))\npH (Sea Water Ph Reported On Total Scale, unitless; pH scale)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_747872/index.htmlTable | https://www.bco-dmo.org/dataset/747872
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_747872.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_747872&showErrors=false&email= | BCO-DMO | bcodmo_dataset_747872 | ||||
| log in | [Salp and pteropod associated microorganisms] - Salp and pteropod associated microorganisms from the Western Edge of the Gulf Stream sampled in September 2019. (Collaborative Research: Comparative feeding by gelatinous grazers on microbial prey) | Microbial mortality impacts the structure of food webs, carbon flow, and the interactions that create dynamic patterns of abundance across gradients in space and time in diverse ecosystems. In the oceans, estimates of microbial mortality by viruses, protists, and small zooplankton do not account fully for observations of loss, suggesting the existence of underappreciated mortality sources. We examined how ubiquitous mucous mesh feeders (i.e. gelatinous zooplankton) could contribute to microbial mortality in the open ocean. We coupled capture of live animals by blue-water diving to sequence-based approaches to measure the enrichment and selectivity of feeding by two coexisting mucous grazer taxa (pteropods and salps) on numerically dominant marine prokaryotes. We show that mucous mesh grazers consume a variety of marine prokaryotes and select between coexisting lineages and similar cell sizes. We show that Prochlorococcus may evade filtration more than other cells and that planktonic archaea are consumed by macrozooplanktonic grazers. Discovery of these feeding relationships identifies a new source of mortality for Earth's dominant marine microbes and alters our understanding of how top-down processes shape microbial community and function.\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nmessage (unitless)\nsample_name (unitless)\nsample_title (unitless)\norganism (unitless)\ncollection_date (unitless)\ndepth_f (Depth, feet)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nlatitude (Sampling_lat, degrees_north)\nlongitude (Sampling_lon, degrees_east)\n... (15 more variables)\n | BCO-DMO | bcodmo_dataset_926841_v1 | ||||||||||||
| log in | [Seagrass Microbiome Data] - (Collaborative Research: The role of a keystone pathogen in the geographic and local-scale ecology of eelgrass decline in the eastern Pacific) | This dataset includes sample collection information and sequence accessions for 16S rRNA amplicon sequencing of eelgrass leaf and surrounding water column bacteria from 32 eelgrass meadows across latitudes from 55 to 32° N in the Northeastern Pacific during July and August 2019. Sequence Read Archive (SRA) Experiments and BioSamples can be accessed from the NCBI BioProject PRJNA802566 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA802566/)\n\nEelgrass, Zostera marina, is impacted by outbreaks of wasting disease caused by the opportunistic pathogen Labyrinthula zosterae. We investigated how Z. marina phyllosphere microbial communities vary with rising wasting disease lesion prevalence and severity relative to plant and meadow characteristics like shoot density, longest leaf length, and temperature across 23° latitude in the Northeastern Pacific. We sampled 32 eelgrass meadows across latitudes from 55 to 32° N in the Northeastern Pacific during July and August 2019. This range included six regions (AK=Alaska, BC=British Columbia, WA=Washington, OR=Oregon, BB=Bodega Bay Northern California, SD=San Diego Southern California), with 5–6 meadows per region. The location of each region is AK: N 55° 32' 27.124” W 133° 11' 1.0546, BC: N 51° 48' 30.1469” W 128° 13' 27.2182, WA: N 48° 36' 4.9725” W 122° 59' 56.4203, OR: N 44° 69 43.717” W 124° 89 22.7337, BB: N 38° 14' 30.3218” W 122° 58' 32.5723, SD: N 32° 47' 37.5929” W 117° 12' 57.1071”. We selected eelgrass meadows within each region that had consistently high cover of eelgrass in recent years.\n\ncdm_data_type = Other\nVARIABLES:\nsample_title (unitless)\nSampleType (unitless)\nRegionName (unitless)\nSiteCode (unitless)\nTissueType (unitless)\nLesionStatus (unitless)\ncollection_date (unitless)\nLocationName (unitless)\nTidalHeight (unitless)\nTransect (unitless)\n... (8 more variables)\n | BCO-DMO | bcodmo_dataset_933635_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986587_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986587_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986587_v1/ | public | [Sediment Bacteria in MN Lakes] - Diversity and distribution of sediment bacteria across an ecological and trophic gradient from 2018 to 2019 (Cyanos Great Lakes project) (Collaborative Research: Cyanobacteria, Nitrogen Cycling, and Export Production in the Laurentian Great Lakes) | The microbial communities of lake sediments have the potential to serve as valuable bioindicators and integrators of watershed land use and water quality; however, the relative sensitivity of these communities to physicochemical and geographical parameters must be demonstrated at taxonomic resolutions that are feasible with current sequencing and bioinformatic approaches. The geologically diverse and lake-rich state of Minnesota (USA) is uniquely suited to address this potential because of its variability in ecological region, lake type, and watershed land use. In this study, we selected twenty lakes with varying physicochemical properties across four ecological regions of Minnesota. \n\nOur objectives were to (i) evaluate the diversity and composition of the bacterial community at the sediment–water interface and (ii) determine how lake location and watershed land use impact aqueous chemistry and influence bacterial community structure. Our 16S rRNA amplicon data from lake sediment cores at two depth intervals indicate that sediment communities are more likely to cluster by ecological region rather than by any individual lake properties (e.g., trophic status, total phosphorus concentration, lake depth). \n\nHowever, composition is tied to a given lake, wherein samples from the same core were more alike than samples collected at similar depths across lakes. Our results illustrate the diversity within lake sediment microbial communities and provide insight into relationships between taxonomy, physicochemical, and geographic properties of north temperate lakes.\n\nAll relevant data are in Sauer et al., 2022. All 16S rRNA amplicon data are available from the SRA database at BioProject PRJNA763898.\n\ncdm_data_type = Other\nVARIABLES:\naccession (unitless)\nmessage (unitless)\nsample_name (unitless)\nsample_title (unitless)\norganism (unitless)\n... (14 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986587_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986587_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986587_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/986587
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986587_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986587_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_986587_v1 |