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log in [Acropora cervicornis protein measurements: nutrient- and disease-exposed] - Acropora cervicornis protein measurements: nutrient- and disease-exposed from samples collected at  Mote Marine Laboratory in situ nursery from June to July 2022 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility) In the summer of 2022, 20 ramets each of the Acropora cervicornis genotypes ML-AC-36 and ML-AC-46 were collected from Mote's in situ coral nursery and subjected to three weeks of elevated nitrate, ammonium, and phosphate in the form of a slow-release fertilizer. The duration and concentration of this exposure were selected based on prior experiments conducted at Mote Marine Laboratory, which were found to alter microbial community profiles and growth rates in A. cervicornis (Klinges et al., 2022, 2023). During experiment, corals were held in 2-gallon aquaria with 5 corals per aquarium. As Mote Marine Laboratory's experimental aquarium system is plumbed into nearshore coastal water and thus has a higher nutrient load than the reef, an additional subset of 18 ramets of each genotype was collected from Mote's in situ coral nursery immediately prior to disease challenge to evaluate the impact of nearshore water on disease response. All ramets in the disease group were subjected to disease challenge in the form of a tissue homogenate produced from diseased fragments of random genotypes of A. cervicornis. Ramets in a comparative unexposed group were exposed to a homogenate produced from healthy fragments of random genotypes of A. cervicornis.  To evaluate the effect of Aquarickettsia infection; nutrient enrichment; disease exposure; and the combination of these factors on coral immune function, a number of immune related proteins and antioxidants were measured using microplate assays from a total of 55 samples taken prior to disease exposure and following disease exposure as corals either resisted or developed disease. Total host protein and the antioxidant superoxide dismutase were found to be higher in healthy corals regardless of genotype or nutrient enrichment. Phenoloxidase and prophenoloxidase were higher in concentration in diseased samples compared to healthy samples. Disease-exposed but apparently healthy corals had higher superoxide dismutase, prophenoloxidase, and peroxidase activity than either healthy unexposed corals or diseased corals despite total protein concentrations that were lower than healthy unexposed corals.\n\ncdm_data_type = Other\nVARIABLES:\nFull_ID (unitless)\nDate (unitless)\nTP (mg)\nPOX (ΔAbs470nm)\nNormalized_POX (ΔAbs470nm/mg protein)\n... (17 more variables)\n BCO-DMO bcodmo_dataset_924466_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955207_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955207_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955207_v1/ public [Concentration and δ15N of Amino Acids in Size-fractionated Particles] - Concentration and δ15N of amino acids in size-fractionated particles from the eastern tropical North Pacific ODZ in December 2020 (Collaborative research: Using individual amino acids N isotopes in sinking particles and surficial sediments to reconstruct euphotic zone N sources and trophic structure) This dataset includes the concentration and δ15N of bulk N and amino acids in size-fractionated particles. Particle samples were collected aboard the R/V Sally Ride (cruise SR2011) from December 23 – 30, 2020 with a McLane large volume pumping system (WTS-LV). These data assess the nitrogen sources utilized by different phytoplankton communities inhabiting the two chlorophyll maxima and the transformation of particulate organic matter within the oxygen-deficient zone.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nSize_fraction (micrometers)\ndepth (m)\nBulk_N (nanomoles per liter (nmol/L))\nPhe (nanomoles per liter (nmol/L))\nGlu (nanomoles per liter (nmol/L))\nbulk_d15N (per mil relative to air)\nd15N_Phe (per mil relative to air)\nd15N_Phe_sd (per mil relative to air)\nd15N_Glu (per mil relative to air)\nd15N_Glu_sd (per mil relative to air)\nTP (unitless)\nTP_sd (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_955207_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_955207_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955207_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955207 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955207_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955207_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955207_v1
log in [Lake Erie Winter Surveys 2022] - Winter survey data from Lake Erie from Feb 2022 to Mar 2022 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected from February 2022 to March 2022. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndepth (Sample_depth, m)\nSample_ice_flag (unitless)\nDepth (meters (m))\nAir_temp (Degrees Celsius)\nWater_temp (Degrees Celsius)\nSnow_thickness_profile (meters (m))\nIce_thickness_in (inches (in))\nPercent_trans_ice_snow (percent (%))\nPercent_trans_ice (percent (%))\nIce_Narrative (unitless)\nSnow_Narrative (unitless)\nWind_speed (Knots (Kt))\nWind_direction (unitless)\nBarometer (Hg)\nChl_A (ug/L)\n... (55 more variables)\n BCO-DMO bcodmo_dataset_949323_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949323_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949323_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949323_v2/ public [Lake Erie Winter Surveys 2022] - Winter survey data from Lake Erie from Feb 2022 to Mar 2022 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected from February 2022 to March 2022. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndepth (Sample_depth, m)\nSample_ice_flag (unitless)\nDepth (meters (m))\nAir_temp (Degrees Celsius)\nWater_temp (Degrees Celsius)\nSnow_thickness_profile (meters (m))\nIce_thickness_in (inches (in))\nPercent_trans_ice_snow (percent (%))\nPercent_trans_ice (percent (%))\nIce_Narrative (unitless)\nSnow_Narrative (unitless)\nWind_speed (Knots (Kt))\nWind_direction (unitless)\nBarometer (Hg)\nChl_A (ug/L)\n... (55 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949323_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949323_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949323_v2/index.htmlTable https://www.bco-dmo.org/dataset/949323 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949323_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949323_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_949323_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949323_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949323_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949323_v3/ public [Lake Erie Winter Surveys 2022] - Winter survey data from Lake Erie from Feb 2022 to Mar 2022 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected from February 2022 to March 2022. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndepth (Sample_depth, m)\nSample_ice_flag (unitless)\nDepth (meters (m))\nAir_temp (Degrees Celsius)\nWater_temp (Degrees Celsius)\nSnow_thickness_profile (meters (m))\nIce_thickness_in (inches (in))\nPercent_trans_ice_snow (percent (%))\nPercent_trans_ice (percent (%))\nIce_Narrative (unitless)\nSnow_Narrative (unitless)\nWind_speed (Knots (Kt))\nWind_direction (unitless)\nBarometer (Hg)\nChl_A (ug/L)\n... (55 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949323_v3_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949323_v3_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949323_v3/index.htmlTable https://osprey.bco-dmo.org/dataset/949323 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949323_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949323_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_949323_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_814593 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_814593.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_814593/ public [Sandusky Bay Surveys 2019] - Data from Sandusky Bay, Lake Erie from surveys conducted via Ohio Dept of Natural Resources watercraft from June to September 2019 (Lake Erie Center for Fresh Waters and Human Health) Data from Sandusky Bay, Lake Erie from surveys conducted via Ohio Dept of Natural Resources watercraft from June to September 2019.\n\ncdm_data_type = Other\nVARIABLES:\nDeployment (unitless)\nStation (unitless)\ntime2 (Time, unitless)\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMax_Depth (meters (m))\ndepth (Sample Depth, m)\nAir_Temp (degrees Celsius)\nWater_Temp (degrees Celsius)\nSample_DO (milligrams per liter (mg L-1))\nCond (milli siemens per centimeter (mS cm-1))\npH (Sea Water Ph Reported On Total Scale, unitless (pH scale))\nchlorophyll_a (Concentration Of Chlorophyll In Sea Water, micrograms per liter (ug L-1))\nmicrocystin (micrograms per liter (ug L-1))\nAmmonium (Mole Concentration Of Ammonium In Sea Water, micromoles per liter (umol L-1))\nNO3_NO2 (Mole Concentration Of Nitrate In Sea Water, micromoles per liter (umol L-1))\nNO2 (Mole Concentration Of Nitrite In Sea Water, micromoles per liter (umol L-1))\nDRP (micromoles per liter (umol L-1))\nSilicate (Mass Concentration Of Silicate In Sea Water, micromoles per liter (umol L-1))\nNitrate (Mole Concentration Of Nitrate In Sea Water, micromoles per liter (umol L-1))\nTP (micromoles per liter (umol L-1))\nTKN (micromoles per liter (umol L-1))\nTN (micromoles per liter (umol L-1))\nTN_TP_ratio (molar ratio)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_814593_fgdc.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_814593/index.htmlTable https://www.bco-dmo.org/dataset/814593 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_814593.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_814593&showErrors=false&email= BCO-DMO bcodmo_dataset_814593
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917239_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917239_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_917239_v1/ public [Siphonophore CSIA-AA] - Compound-specific isotope analysis of amino acids (CSIA-AA) from a subset of siphophore samples collected during four research cruises on the R/V Wester Flyer in the California Current Ecosystem between 2019 and 2021 (Collaborative research: The effects of predator traits on the structure of oceanic food webs) Samples of siphonophores (Cnidaria, Hydrozoa) were collected using blue‑water diving, midwater trawls, and remotely operated vehicles in the California Current Ecosystem, from 0 to 3,000 meters depth. Siphonophore samples were collected on four research cruises on the R/V Wester Flyer between 2019-2021. To remove potential biases associated with tissue‑specific variability in stable isotope values, the gelatinous swimming bells (nectophores) of siphonophores were sampled. This approach was possible for most specimens, except for physonect species that are extremely fragile or have nectosomes that are a small fraction of the colony length and are often not collected. For these species (e.g., Apolemia spp.), the gelatinous bracts and pieces of the siphosome, excluding gastrozooids, were used. For small individuals (Diphyes dispar, Nanomia bijuga, and Sphaeronectes koellikeri), nectophores from several colonies that were captured at the same time and sampling location were pooled to obtain an adequate mass for isotope analyses. A subset of samples was selected for compound-specific isotope analysis of amino acids. These specific taxa were selected as representatives of different depth habitats, suborders, and hypothesized diets. Bulk and compound-specific isotope analyses were performed at the University of Hawaii's Biogeochemistry Stable Isotope Facility. This dataset includes the compound-specific isotope analysis data.\n\ncdm_data_type = Other\nVARIABLES:\nCollection_Date (unitless)\nYear (unitless)\nMonth (unitless)\nGenus (unitless)\nBest_Taxonomic_ID (unitless)\nAlanine (parts per thousand)\nGlycine (parts per thousand)\nThreonine (parts per thousand)\nSerine (parts per thousand)\nValine (parts per thousand)\nLeucine (parts per thousand)\nIsoleucine (parts per thousand)\nProline (parts per thousand)\n... (21 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_917239_v1/index.htmlTable https://www.bco-dmo.org/dataset/917239 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_917239_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_917239_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_917239_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_898012_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_898012_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_898012_v1/ public [Temperature-dependence of juvenile Black sea bass growth and lipid accumulation - Experiment 2] - Temperature-dependence of juvenile Black sea bass growth and lipid accumulation determined through lab experiments conducted from September 2021 to February 2022 at UConn Avery Point (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish) The northern stock of Black sea bass (BSB, Centropristis striata) has greatly expanded over the past decade, potentially due to warming Northwest Atlantic shelf waters affecting overwintering especially in juveniles. To gather better empirical data we quantified winter growth and lipid accumulation in BSB juveniles from Long Island Sound using two complementing experiments. The data from Experiment 2 are presented here.\n\nThe data from Experiment 1 are presented in a related dataset (https://www.bco-dmo.org/dataset/897895). Experiment 2 measured the same traits as Experiment 1 but exposed juveniles to a simulated thermal overwinter profile (October - March) with seasonally varying food rations. Monthly individual length growth (GR) and weight-specific growth (SGR) responded in the direction of seasonal food level changes, showing reduced growth in December-February in a 'Winter dip' treatment, but compensatory growth in a 'Winter pulse' treatment. A 6-month consumption average of 1.7% feeding-1 ('Winter pulse') elicited a mean GR of 0.15 millimeters per day (mm d-1) and SGR of 0.55% d-1, whereas juveniles consuming on average 3.8% per feeding ('Winter dip') had significantly faster GR (0.20 mm d-1) and SGR (0.71% d-1). Growth efficiencies ranged between 15-30% and were inversely related to food consumption.\n\nIn both experiments, juveniles disproportionally accumulated lipid over lean mass, with lipid proportions tripling in Exp2 from 4% at 65 mm to 12% at 120 mm.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nDate_col (unitless)\nSpecies (unitless)\nTank (unitless)\nBSB_ID (unitless)\nGroup (unitless)\nTreat (unitless)\n... (34 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_898012_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_898012_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_898012_v1/index.htmlTable https://www.bco-dmo.org/dataset/898012 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_898012_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_898012_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_898012_v1

 
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