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_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 | ||||
| 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 |