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https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765141_v5 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765141_v5.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_765141_v5/ public [CPR plankton abundance in the WN Atlantic 1958-2021] - Continous Plankton Recorder phytoplankton and zooplankton occurrence and count data from The CPR Survey in the Western North Atlantic Ocean from 1958 to 2021 (The Continuous Plankton Recorder (CPR) Survey: Monitoring the Plankton of the North Atlantic) This dataset includes Continous Plankton Recorder (CPR) phytoplankton and zooplankton abundance (occurrence and count) data from the Marine Biological Association of the UK, the CPR Survey, in the Western North Atlantic Ocean from 1958-2021 inclusive.\n\ncdm_data_type = Other\nVARIABLES:\nSampleId (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Midpoint_date_utc, seconds since 1970-01-01T00:00:00Z)\nYear (year)\nMonth (month)\nDay (day)\nHour (hour)\nid_40 (individuals per 3 cubic meter sample)\nid_41 (individuals per 3 cubic meter sample)\nid_42 (individuals per 3 cubic meter sample)\nid_43 (individuals per 3 cubic meter sample)\nid_44 (individuals per 3 cubic meter sample)\nid_45 (individuals per 3 cubic meter sample)\nid_47 (individuals per 3 cubic meter sample)\nid_48 (individuals per 3 cubic meter sample)\nid_50 (individuals per 3 cubic meter sample)\nid_51 (individuals per 3 cubic meter sample)\nid_53 (individuals per 3 cubic meter sample)\nid_55 (individuals per 3 cubic meter sample)\nid_56 (individuals per 3 cubic meter sample)\nid_57 (individuals per 3 cubic meter sample)\nid_58 (individuals per 3 cubic meter sample)\nid_59 (individuals per 3 cubic meter sample)\nid_60 (individuals per 3 cubic meter sample)\n... (397 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_765141_v5_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_765141_v5_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_765141_v5/index.htmlTable https://www.bco-dmo.org/dataset/765141 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_765141_v5.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_765141_v5&showErrors=false&email= BCO-DMO bcodmo_dataset_765141_v5
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930163_v1/ public [Kāneʻohe Bay Time-series - phytoplankton and biogeochemistry] - Biological oceanographic measurements, 16S rRNA gene amplicons and metagenomes from surface seawater taken from August 2017 to June 2021 at sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi (Population genomics and ecotypic divergence in the most dominant lineage of marine bacteria) These data include temperature, pH, salinity, chlorophyll a concentrations, cellular abundances of Prochlorococcus, Synechococcus, photosynthetic picoeukaryotes, and heterotrophic bacteria,16S ribosomal RNA gene amplicon libraries, metagenomes, inorganic nutrient concentrations, and photosynthetic pigment measurements via high performance liquid chromatography from surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). This dataset reflects near-monthly sampling of surface seawater that was conducted between between August 2017 and June 2021 at 10-12 sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi. Instruments used were a YSI 6,600 sonde, a ProDSS multi-parameter sonde, a Turner 10AU fluorometer, a Beckman Coulter CytoFLEX S flow cytometer, a Seal Analytical AA3 HR Nutrient Autoanalyzer, an Illumina MiSeq v2 platform, and the Illumina NovaSeq 6000.\n\nThese data reveal a remarkably persistent transition in surface ocean biogeochemistry, phytoplankton biomass, and phytoplankton community structure, despite high water exchange and define surface ocean biogeochemical and phytoplankton regimes over space and time across nearshore to offshore waters in the tropical Pacific. These results provide insight into drivers of seasonal and spatial variability of phytoplankton communities. Data were collected and analyzed by Sarah J. Tucker, Yoshimi M. Rii, Kelle C. Freel, Keliʻiahonui Kotubetey, A. Hiʻilei Kawelo, and Kawika B. Winter, Michael S. Rappé.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nUniversal_Sample_ID (unitless)\nMetagenome (unitless)\nMetagenome_ID (unitless)\nYear (unitless)\nSampling_Order (unitless)\nSeason (unitless)\nMonth (unitless)\nMonth_abb (unitless)\nTime (hh:mm)\n... (68 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930163_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930163_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930163_v1/index.htmlTable https://www.bco-dmo.org/dataset/930163 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930163_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930163_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_930163_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911441_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911441_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911441_v1/ public [Samples Sequenced for Metabarcoding] - Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL. (Collaborative Research: RUI: OCE-BO: Tango in the Mat World: Biogeochemistry of diurnal vertical migration in microbial mats of Lake Huron’s sinkholes) These data are the sample information for each of the samples collected for metabarcoding of 16S and rbcL to describe Cyanobacterial and diatom diversity, respectively, in three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Sample data are for sequenced samples and include their associated water parameter information that was collected simultaneously.\nEach of these sites are high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats, and further explored the bacterial communities as well. Our results provide novel information on microbial mat community composition, and present evidence that microbial biogeography influences these unique communities.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nCollection_ID (unitless)\nCollection_Date (unitless)\nLocation (unitless)\nLat (degrees_north)\nlongitude (Long, degrees_east)\nSample_Type (unitless)\nTemp (Celsius (°C))\nCond (Microsiemens / centimeter (μS/cm))\nTDS (Grams/liter (g/L))\npH (unitless)\nNTU (Nephelometric Turbidity Units (NTU))\nODO (Percentage saturation)\nODO_mg_L (Milligrams/liter (mg/L))\nCl_mg_L (Milligrams/liter (mg/L))\nSO4_mg_L (Milligrams/liter (mg/L))\nNO3_N_mg_L (Milligrams/liter (mg/L))\nSi_mg_L (Milligrams/liter (mg/L))\nSRP_P_mg_L (Milligrams/liter (mg/L))\nNCBI_BioProject (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911441_v1/index.htmlTable https://www.bco-dmo.org/dataset/911441 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911441_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911441_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_911441_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947067_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947067_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_947067_v1/ public [Seasonal fatty acid profiles of marine algae and invertebrates from Sitka Sound, Alaska in 2019] - Seasonal fatty acid profiles of marine algae and invertebrates from Sitka Sound, Alaska in 2019 (CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem) These data include fatty acid compositions of select marine macroalgae and macroinvertebrate grazers collected in Sitka Sound, Alaska in January 2019 and July 2019. Samples were collected using SCUBA at three sites, all within 6 km of each other in Sitka Sound: Harris Island (N 57.03165, W 135.27754), Breast Island (N 57.03896, W 135.33309), and Samsing Pinnacle (N 56.98750, W 135.35718). Sampled species included six seaweeds, including three Laminarian kelps (Ochrophyta) and three red algae from the Gigartinales and Ceramiales, that are present in both seasons in these sites: Neoagarum fimbriatum, Macrocystis pyrifera, Hedophyllum nigripes, Cryptopleura ruprechtiana, Opuntiella californica, and Osmundia spectabilis. They also include six macro-invertebrates (two each of gastropods, crustaceans, echinoderms) that are present and dominant herbivores in these sites: Haliotis kamtschatkana, Tegula pulligo, Pentidotea resecata, Pugettia producta, Mesocentrotus franciscanus, and Strongylocentrotus droebachiensis. \nUnderstanding seasonal variation in fatty acid trophic biomarkers between dominant macrophyte resources and their benthic herbivores can help reveal how producers and their primary consumers may respond to future environmental change. These unique data from a high latitude kelp forest ecosystem were collected by a collaborative team of marine ecologists: Dr. Reyn Yoshioka, Dr. Aaron Galloway, Dr. Julie Schram, Dr. Kristy Kroeker, and Dr. Lauren Bell.\n\ncdm_data_type = Other\nVARIABLES:\nsampleID (unitless)\nseason (unitless)\nsite (unitless)\nYear_Month (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nspCode (unitless)\ntype (unitless)\ngenus (unitless)\nspecies (unitless)\nLSID (unitless)\nlengthDia_comment (unitless)\n... (65 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_947067_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_947067_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_947067_v1/index.htmlTable https://www.bco-dmo.org/dataset/947067 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_947067_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_947067_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_947067_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907507_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907507_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907507_v1/ public [Tissue data from Keister et al. 2023] - Comparative analysis of tissue biomass and energy reserves of six coral species from nearshore and offshore reefs in Palau, Micronesia during March 2017 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses) The nearshore reef habitats in Palau, Micronesia, serve as a representation of the challenges that coral populations may face in a future with warmer and more acidic oceans. Interestingly, corals inhabiting these nearshore habitats demonstrate a greater ability to withstand and recover from episodes of thermal stress compared to their offshore counterparts. In order to investigate the underlying physiological mechanisms behind this tolerance, we conducted a comparative analysis of six coral species found in both offshore and nearshore environments. Specifically, we examined parameters such as tissue biomass (ash-free dry weight cm−2), energy reserves (including protein, total lipid, and carbohydrate content), as well as several crucial lipid classes.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nSampleID (unitless)\nSpecies (unitless)\nSite (unitless)\nCollection_Date (unitless)\nAFDW (grams)\nTotal_lipids (joules)\nSurface_Area (squared centimeters (cm^2))\nProtein (joules)\nCarbohydrate (joules)\nWAX (milligrams Ash Free Dry Weight per gram (mg AFDW/g))\nTAG (milligrams Ash Free Dry Weight per gram (mg AFDW/g))\nST (milligrams Ash Free Dry Weight per gram (mg AFDW/g))\nPhospholipids (milligrams Ash Free Dry Weight per gram (mg AFDW/g))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_907507_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_907507_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907507_v1/index.htmlTable https://www.bco-dmo.org/dataset/907507 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907507_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907507_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907507_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 (external link) 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
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924852_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924852_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924852_v1/ public [Zostera marina whole genome resequencing] - Sample collection and sequence accession information for Zostera marina whole genome resequencing from specimens collected at 16 geographic locations worldwide in 2017 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina) This dataset includes sample collection and sequence accession information for Zostera marina whole genome resequencing from specimens collected at 16 geographic locations worldwide in 2017. Sequence accessions are housed in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA).\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nBioProject (unitless)\nLibrary_Code (unitless)\nSample_Description (unitless)\nLocation_Name (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSRA_accession (unitless)\nLibrary_type (unitless)\nSampled_tissue (unitless)\nInstrument (unitless)\nreads (unitless)\nNumber_of_bases_Raw_fastq (count)\nCoverage_Raw_fastq (genomes)\nNumber_of_bases_Clean_fastq (count)\nCoverage_Clean_fastq (genomes)\nMapped_pcnt (percent)\nProperly_paired_pcnt (percent)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_924852_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_924852_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924852_v1/index.htmlTable https://www.bco-dmo.org/dataset/924852 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924852_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924852_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924852_v1

 
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