©2020 Biological and Chemical Oceanography Data Management Office.Funded by the U.S. National Science Foundation
©2020 Biological and Chemical Oceanography Data Management Office.methane
| Dataset | PI-Supplied Description | PI-Supplied Name |
|---|---|---|
| Porewater geochemistry data for sediment samples that were included in the global seep survey conducted via Alvin dives from R/V Atlantis cruise AT15-40 in the Guaymas Basin in 2008 | Porewater methane concentration in mM. | CH4 |
| Porewater geochemistry, including methane, CO2, sulfate, and sulfide from Guaymas Basin hydrothermal sediments collected on R/V Atlantis cruise AT15-56 in Nov-Dec 2009 | Methane porewater concentration | CH4_mM |
| Sediment geochemistry summary from push cores collected during HOV Alvin dives during the R/V Atlantis cruise AT37-06 in the Guaymas Basin from December 2016 | Dissolved Methane; method detection limit = 0.1 | CH4 |
| Sediment geochemistry from push cores collected during HOV Alvin dives during the R/V Atlantis cruise AT42-05 in Guaymas Basin, Gulf of California (27 00.00 N, -111 20.00 W) in November 2018 | Pore water concentrations of methane; method detection limit = 0.1 | CH4_uM |
| Geochemical measurements of CTD and Alvin Niskin samples collected in the Gulf of California on RV/Atlantis AT42-05 Alvin dives, Nov. 2018 | Water column methane concentration. detection limit =1. | Methane |
| Biogeochemistry and microbiology from the R/V Hermano Gines cruises in the Cariaco Basin from 1995 to 2015 (CARIACO Ocean Time-Series Program) | Methane | CH4 |
| Biogeochemical data on cryptic methane cycling in hypersaline sediments of the Carpinteria Salt Marsh Reserve, California | Microbial Anaerobic Oxidation of Methane (AOM) rate | AOM |
| Biogeochemical data on cryptic methane cycling in hypersaline sediments of the Carpinteria Salt Marsh Reserve, California | Porewater Methane Concentration | Methane |
| Porewater DOC and associated geochemical data for methane seeps in the Cascadia Margin: Astoria Canyon, Barkley Canyon, Hydrate Ridge, and Bullseye Vent | Pore water dissolved methane | CH4_uM |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Y-intercept of best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for each bottle. | Best_Fit_Rate_by_Bottle_b |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Slope of best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for each bottle. | Best_Fit_Rate_by_Bottle_m |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Number of observations used to make the best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for each bottle. | Best_Fit_Rate_by_Bottle_N |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Probability of the true dataset coming from the same population as the best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for each bottle. | Best_Fit_Rate_by_Bottle_P |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | R value of best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for each bottle. | Best_Fit_Rate_by_Bottle_R |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | R^2 value of best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for each bottle. | Best_Fit_Rate_by_Bottle_R_squared |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Y-intercept of best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Best_Fit_Rate_by_Condition_b |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Slope of best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Best_Fit_Rate_by_Condition_m |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Number of observations used to make the best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Best_Fit_Rate_by_Condition_N |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Probability of the true dataset coming from the same population as the best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Best_Fit_Rate_by_Condition_P |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | R value of best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Best_Fit_Rate_by_Condition_R |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | R^2 value of best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Best_Fit_Rate_by_Condition_R_squared |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Coefficient of variation from the mean for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Coefficient_of_Variation |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Difference between the 75th and 25th percentiles for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Interquartile_Range |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Jarque�Bera goodness-of-fit test statistic for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | JB_test_Statistic |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Interpretation of kurtosis score for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Kurtosis_Interpretation |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Kurtosis score for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Kurtosis_Score |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean value for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Mean |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Median value for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Median |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mode for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Mode |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Ratio of standard error for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition to the mean for the same dataset, reported in %. | Percent_Error |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Probability that the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition has a skewness and kurtosis similar to a normal distribution. | P_value |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Difference between the highest and lowest values for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Range |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Interpretation of skewness score for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Skewness_Interpretation |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Skewness score of dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Skewness_Score |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Standard deviation from the mean for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Standard_Deviation |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Stadard error from the mean for the dataset used to make best-fit correlation between elapsed time (TX_Timepoint) on x-axis and methane production (TX_Timepoint_CH4_production) on y-axis for all bottles of the same condition. | Standard_Error |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Methane production relative to the SW condition since start of incubation (mean of 3 technical replicates). | T1_Timepoint_CH4_no_sig_fig_rounding |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for all bottles in the same condition per trial. | T1_Timepoint_mean_CH4_production |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks). | T2_Timepoint_CH4_no_sig_fig_rounding |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks), rounded to the nearest tenth. | T2_Timepoint_mean_CH4_production |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks). | T3_Timepoint_CH4_no_sig_fig_rounding |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks), rounded to the nearest tenth. | T3_Timepoint_CH4_production |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks). | T4_Timepoint_CH4_no_sig_fig_rounding |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks), rounded to the nearest tenth. | T4_Timepoint_CH4_production |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks). | T5_Timepoint_CH4_no_sig_fig_rounding |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks), rounded to the nearest tenth. | T5_Timepoint_CH4_production |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks). | T6_Timepoint_CH4_no_sig_fig_rounding |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks), rounded to the nearest tenth. | T6_Timepoint_CH4_production |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks), rounded to the nearest tenth. | TFinal_Final_CH4 |
| MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) | Mean methane production relative to the SW condition since start of incubation for 3 technical replicates (GC-FID Peaks). | TFinal_Final_CH4_no_sig_fig_rounding |