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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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| log in | [Apostichopus californicus 16S rRNA V4 Sequences] - 16S rRNA V4 sequence metadata from Apostichopus californicus-associated flavivirus experiment under suboxic conditions and organic matter amendment (Exploring the role of boundary layer microbial remineralization in flavivirus-host dynamics) | Microbial activities at the animal-water interface are hypothesized to influence viral replication and possibly contribute to pathology of echinoderm wasting diseases due to hypoxic stress. We assessed the impacts of enhanced microbial production and suboxic stress on Apostichopus californicus (urn:lsid:marinespecies.org:taxname:529363) associated flavivirus (PcaFV) load in a mesocosm experiment. This dataset contains 16S rRNA V4 amplicon sequencing metadata for this experiment. Organic matter amendment and suboxic stress resulted in lower PcaFV load, which also correlated negatively with animal mass loss and microbial activity at the animal-water interface. These data suggest that PcaFV replication and persistence was best supported in healthier specimens. Our results do not support the hypothesis that suboxic stress or microbial activity promote PcaFV replication, but rather that PcaFV appears to be a neutral or beneficial symbiont of Apostichopus californicus.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nbioproject_accession (unitless)\nbiosample (unitless)\norganism (unitless)\nspecimen_collection_date (unitless)\nswab_collection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nhost (unitless)\nhost_subject_id (unitless)\nreplicate_ID (unitless)\nhost_tissue_sampled (unitless)\nhost_NCBI_taxid (unitless)\nAphiaID (unitless)\nLSID (unitless)\n | BCO-DMO | bcodmo_dataset_984835_v1 | ||||||||||||
| log in | [Black sea bass pCO2 experiments: Morphometrics] - Morphometrics of black sea bass reared at contrasting pCO2 conditions in laboratory experiments conduced with embryos from adults collected in Long Island Sound in 2022 (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish) | We experimentally examined early life CO2-sensitivities of northern stock black sea bass (Centropristis striata), an ecologically and economically important fish that seasonally migrates from offshore overwintering grounds to coastal feeding and nursery areas. We produced embryos from wild spawners and reared them until 10 days post hatch (dph) at three contrasting pCO2 levels (~400, ~2200, ~3000 µatm), finding no statistical effects of pCO2 on hatching success (~25%) or survival to 10 dph (~11%). At the extreme pCO2 level, surviving larvae were 1.2× larger and grew 55% faster compared to control pCO2 conditions. This dataset contains black sea bass morphometrics from these experiments.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nDate_of_fertilization (unitless)\nDate (unitless)\nDPH (days)\nTank (unitless)\nTarget_pCO2 (microatmospheres (uatm))\npCO2 (microatmospheres (uatm))\npCO2_SD (microatmospheres (uatm))\nActual_pH (pH units)\npH_SD (pH units)\nTarget_Temperature (degrees Celsius (degC))\nActual_Temperature (degrees Celsius (degC))\nTemperature_SD (degrees Celsius (degC))\nSalinity (Practical Salinity Units (PSU))\nSalinity_SD (Practical Salinity Units (PSU))\nReplicate_ID (unitless)\nFish_ID (unitless)\nTL (millimeters (mm))\nBD (millimeters (mm))\nSL (millimeters (mm))\nED (millimeters (mm))\nML (millimeters (mm))\nCI (unitless)\n | BCO-DMO | bcodmo_dataset_927800_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931936_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931936_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931936_v1/ | public | [Winam Gulf Metagenomic Time Series] - Metagenomic Time Series of Winam Gulf, Lake Victoria from 2022-2023 (ASI Lake Victoria project) (IRES Track II: Advanced studies institute on water quality and harmful algal blooms in Lake Victoria) | Compared to the other \"Great Lakes\" (Laurentian Great Lakes of North America and Lake Baikal of Russia) the African Great Lakes have remained widely unstudied. This serves as a substantial research gap within the limnological literature given the African Great Lakes contribute approximately 25% of all global, accessible freshwater. Lake Victoria of the African Great Lakes is notable for its large size - serving as the second largest freshwater lake in the world by surface area. Yet, Lake Victoria is also known for the prolific year-long cyanobacterial blooms that occur throughout her waters such as the Winam Gulf. These blooms are fueled by intense agricultural and anthropogenic development much like other freshwater harmful algal blooms. However, unlike other freshwater blooms such as those occurring in Lake Erie and Lake Taihhu - these cyanobacterial blooms have remained widely uncharacterized (especially using molecular techniques). \n\nThe central study area is the Winam Gulf of Lake Victoria, Kenya. This is a relatively shallow, hypereutrophic system that has various rivers serving as nutrient loading sources (such as the Sondu River). This dataset also contains opportunistic samples collected from a variety of riverine systems and Lakes Simbi and Naivasha. \n\nHere, we present the biological, chemical and physical data corresponding to a two year metagenomic time series of the Winam Gulf, Lake Victoria. We further present the physiochemical data of eight outgroup samples including adjacent riverine systems and Lakes Simbi and Naivasha.\n\ncdm_data_type = Other\nVARIABLES:\nLibrary_ID (unitless)\nSite_Name (unitless)\nReplicate_id (unitless)\nSampleID (unitless)\nStudyID (unitless)\nSample_type (unitless)\nLake_or_river (unitless)\nlatitude (degrees_north)\n... (40 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_931936_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_931936_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931936_v1/index.htmlTable | https://www.bco-dmo.org/dataset/931936
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931936_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931936_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_931936_v1 |