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Dataset Title:	[Epiphytic bacteria methane production data] - MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017- 2019 (Cyanobacteria Hydrocarbons project) (Collaborative Research: Do Cyanobacteria Drive Marine Hydrocarbon Biogeochemistry?)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_911212_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Order (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1"	"99"
Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2017-07-13"	"2019-10-06"
Trial (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	6
Condition (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"SW"	"SW+S. natans"
Number_of_Replicates (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		3	6
Initial_MPn (nM)	!= =~ <= >= = < >		!= =~ <= >= = < >		"10000"	"Ambient"
Additional_Amendments (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1/2x Sodium Phosph..."	"Wrapped in Foil"
Bottle (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	5
T1_Timepoint (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.05	2.8
T1_Timepoint_mean_CH4_production (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.6898152	199.3329
T1_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-4.72617	1333.872
T2_Timepoint (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.09	4.1
T2_Timepoint_mean_CH4_production (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.155659	72.40018
T2_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.85365	100.8861
T3_Timepoint (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.12	5.8
T3_Timepoint_CH4_production (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.05916093	116.3678
T3_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.21176	265.3319
T4_Timepoint (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.17	5.2
T4_Timepoint_CH4_production (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.1520578	157.9983
T4_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-2.140631	272.8168
T5_Timepoint (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.21	2.6
T5_Timepoint_CH4_production (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.4020275	109.1992
T5_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.6946699	195.7267
T6_Timepoint (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.25	4.2
T6_Timepoint_CH4_production (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.1338867	129.2932
T6_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.785769	204.8212
TFinal_Trial_Duration (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.3	7.9
TFinal_Final_CH4 (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.6898152	1089.737
TFinal_Final_CH4_no_sig_fig_rounding (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-4.183262	1333.872
TFinal_Percentage_MPn_Addition_Utilized (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.2671333	410.6284
Best_Fit_Rate_by_Bottle_m (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		-2.709495	533.5488
Best_Fit_Rate_by_Bottle_b (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		-11.03668	11.89003
Best_Fit_Rate_by_Bottle_R (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.0	1.0
Best_Fit_Rate_by_Bottle_R_squared (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.09383E-6	1.0
Best_Fit_Rate_by_Bottle_N (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2	8
Best_Fit_Rate_by_Bottle_P (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.002846886	0.9857358
Mode (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"uniform"
Skewness_Score (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.789868	2.22749
Skewness_Interpretation (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"left skew"	"right skew"
Kurtosis_Score (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		-3.504572	4.969325
Kurtosis_Interpretation (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"flat"	"peaked"
JB_test_Statistic (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.001676315	9.279383
P_value (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.009660681	0.9991622
Mean (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.4927252	435.8947
Median (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.4151078	435.1051
Standard_Deviation (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	80.4854
Coefficient_of_Variation (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.02969571	1.88685206E11
Standard_Error (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	40.2427
Percent_Error (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.714483	1.08937504E13
Range (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	193.729
Interquartile_Range (nmol g^-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	75.79935
Best_Fit_Rate_by_Condition_m (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.6738074	435.8947
Best_Fit_Rate_by_Condition_b (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		-16.5368	28.68123
Best_Fit_Rate_by_Condition_R (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.7223194	0.9969308
Best_Fit_Rate_by_Condition_R_squared (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.993871
Best_Fit_Rate_by_Condition_N (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	22
Best_Fit_Rate_by_Condition_P (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.9248095

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Order Date Trial Condition Number_of_Replicates Initial_MPn Additional_Amendments Bottle T1_Timepoint T1_Timepoint_mean_CH4_production T1_Timepoint_CH4_no_sig_fig_rounding T2_Timepoint T2_Timepoint_mean_CH4_production T2_Timepoint_CH4_no_sig_fig_rounding T3_Timepoint T3_Timepoint_CH4_production T3_Timepoint_CH4_no_sig_fig_rounding T4_Timepoint T4_Timepoint_CH4_production T4_Timepoint_CH4_no_sig_fig_rounding T5_Timepoint T5_Timepoint_CH4_production T5_Timepoint_CH4_no_sig_fig_rounding T6_Timepoint T6_Timepoint_CH4_production T6_Timepoint_CH4_no_sig_fig_rounding TFinal_Trial_Duration TFinal_Final_CH4 TFinal_Final_CH4_no_sig_fig_rounding TFinal_Percentage_MPn_Addition_Utilized Best_Fit_Rate_by_Bottle_m Best_Fit_Rate_by_Bottle_b Best_Fit_Rate_by_Bottle_R Best_Fit_Rate_by_Bottle_R_squared Best_Fit_Rate_by_Bottle_N Best_Fit_Rate_by_Bottle_P Mode Skewness_Score Skewness_Interpretation Kurtosis_Score Kurtosis_Interpretation JB_test_Statistic P_value Mean Median Standard_Deviation Coefficient_of_Variation Standard_Error Percent_Error Range Interquartile_Range Best_Fit_Rate_by_Condition_m Best_Fit_Rate_by_Condition_b Best_Fit_Rate_by_Condition_R Best_Fit_Rate_by_Condition_R_squared Best_Fit_Rate_by_Condition_N Best_Fit_Rate_by_Condition_P Order Date Trial Condition Number_of_Replicates Initial_MPn Additional_Amendments Bottle T1_Timepoint T1_Timepoint_mean_CH4_production T1_Timepoint_CH4_no_sig_fig_rounding T2_Timepoint T2_Timepoint_mean_CH4_production T2_Timepoint_CH4_no_sig_fig_rounding T3_Timepoint T3_Timepoint_CH4_production T3_Timepoint_CH4_no_sig_fig_rounding T4_Timepoint T4_Timepoint_CH4_production T4_Timepoint_CH4_no_sig_fig_rounding T5_Timepoint T5_Timepoint_CH4_production T5_Timepoint_CH4_no_sig_fig_rounding T6_Timepoint T6_Timepoint_CH4_production T6_Timepoint_CH4_no_sig_fig_rounding TFinal_Trial_Duration TFinal_Final_CH4 TFinal_Final_CH4_no_sig_fig_rounding TFinal_Percentage_MPn_Addition_Utilized Best_Fit_Rate_by_Bottle_m Best_Fit_Rate_by_Bottle_b Best_Fit_Rate_by_Bottle_R Best_Fit_Rate_by_Bottle_R_squared Best_Fit_Rate_by_Bottle_N Best_Fit_Rate_by_Bottle_P Mode Skewness_Score Skewness_Interpretation Kurtosis_Score Kurtosis_Interpretation JB_test_Statistic P_value Mean Median Standard_Deviation Coefficient_of_Variation Standard_Error Percent_Error Range Interquartile_Range Best_Fit_Rate_by_Condition_m Best_Fit_Rate_by_Condition_b Best_Fit_Rate_by_Condition_R Best_Fit_Rate_by_Condition_R_squared Best_Fit_Rate_by_Condition_N Best_Fit_Rate_by_Condition_P Order Date Trial Condition Number_of_Replicates Initial_MPn Additional_Amendments Bottle T1_Timepoint T1_Timepoint_mean_CH4_production T1_Timepoint_CH4_no_sig_fig_rounding T2_Timepoint T2_Timepoint_mean_CH4_production T2_Timepoint_CH4_no_sig_fig_rounding T3_Timepoint T3_Timepoint_CH4_production T3_Timepoint_CH4_no_sig_fig_rounding T4_Timepoint T4_Timepoint_CH4_production T4_Timepoint_CH4_no_sig_fig_rounding T5_Timepoint T5_Timepoint_CH4_production T5_Timepoint_CH4_no_sig_fig_rounding T6_Timepoint T6_Timepoint_CH4_production T6_Timepoint_CH4_no_sig_fig_rounding TFinal_Trial_Duration TFinal_Final_CH4 TFinal_Final_CH4_no_sig_fig_rounding TFinal_Percentage_MPn_Addition_Utilized Best_Fit_Rate_by_Bottle_m Best_Fit_Rate_by_Bottle_b Best_Fit_Rate_by_Bottle_R Best_Fit_Rate_by_Bottle_R_squared Best_Fit_Rate_by_Bottle_N Best_Fit_Rate_by_Bottle_P Mode Skewness_Score Skewness_Interpretation Kurtosis_Score Kurtosis_Interpretation JB_test_Statistic P_value Mean Median Standard_Deviation Coefficient_of_Variation Standard_Error Percent_Error Range Interquartile_Range Best_Fit_Rate_by_Condition_m Best_Fit_Rate_by_Condition_b Best_Fit_Rate_by_Condition_R Best_Fit_Rate_by_Condition_R_squared Best_Fit_Rate_by_Condition_N Best_Fit_Rate_by_Condition_P Order Date Trial Condition Number_of_Replicates Initial_MPn Additional_Amendments Bottle T1_Timepoint T1_Timepoint_mean_CH4_production T1_Timepoint_CH4_no_sig_fig_rounding T2_Timepoint T2_Timepoint_mean_CH4_production T2_Timepoint_CH4_no_sig_fig_rounding T3_Timepoint T3_Timepoint_CH4_production T3_Timepoint_CH4_no_sig_fig_rounding T4_Timepoint T4_Timepoint_CH4_production T4_Timepoint_CH4_no_sig_fig_rounding T5_Timepoint T5_Timepoint_CH4_production T5_Timepoint_CH4_no_sig_fig_rounding T6_Timepoint T6_Timepoint_CH4_production T6_Timepoint_CH4_no_sig_fig_rounding TFinal_Trial_Duration TFinal_Final_CH4 TFinal_Final_CH4_no_sig_fig_rounding TFinal_Percentage_MPn_Addition_Utilized Best_Fit_Rate_by_Bottle_m Best_Fit_Rate_by_Bottle_b Best_Fit_Rate_by_Bottle_R Best_Fit_Rate_by_Bottle_R_squared Best_Fit_Rate_by_Bottle_N Best_Fit_Rate_by_Bottle_P Mode Skewness_Score Skewness_Interpretation Kurtosis_Score Kurtosis_Interpretation JB_test_Statistic P_value Mean Median Standard_Deviation Coefficient_of_Variation Standard_Error Percent_Error Range Interquartile_Range Best_Fit_Rate_by_Condition_m Best_Fit_Rate_by_Condition_b Best_Fit_Rate_by_Condition_R Best_Fit_Rate_by_Condition_R_squared Best_Fit_Rate_by_Condition_N Best_Fit_Rate_by_Condition_P Order Date Trial Condition Number_of_Replicates Initial_MPn Additional_Amendments Bottle T1_Timepoint T1_Timepoint_mean_CH4_production T1_Timepoint_CH4_no_sig_fig_rounding T2_Timepoint T2_Timepoint_mean_CH4_production T2_Timepoint_CH4_no_sig_fig_rounding T3_Timepoint T3_Timepoint_CH4_production T3_Timepoint_CH4_no_sig_fig_rounding T4_Timepoint T4_Timepoint_CH4_production T4_Timepoint_CH4_no_sig_fig_rounding T5_Timepoint T5_Timepoint_CH4_production T5_Timepoint_CH4_no_sig_fig_rounding T6_Timepoint T6_Timepoint_CH4_production T6_Timepoint_CH4_no_sig_fig_rounding TFinal_Trial_Duration TFinal_Final_CH4 TFinal_Final_CH4_no_sig_fig_rounding TFinal_Percentage_MPn_Addition_Utilized Best_Fit_Rate_by_Bottle_m Best_Fit_Rate_by_Bottle_b Best_Fit_Rate_by_Bottle_R Best_Fit_Rate_by_Bottle_R_squared Best_Fit_Rate_by_Bottle_N Best_Fit_Rate_by_Bottle_P Mode Skewness_Score Skewness_Interpretation Kurtosis_Score Kurtosis_Interpretation JB_test_Statistic P_value Mean Median Standard_Deviation Coefficient_of_Variation Standard_Error Percent_Error Range Interquartile_Range Best_Fit_Rate_by_Condition_m Best_Fit_Rate_by_Condition_b Best_Fit_Rate_by_Condition_R Best_Fit_Rate_by_Condition_R_squared Best_Fit_Rate_by_Condition_N Best_Fit_Rate_by_Condition_P ")

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---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Order {
    String long_name "Order";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Trial {
    Int32 actual_range 1, 6;
    String long_name "Trial";
    String units "unitless";
  }
  Condition {
    String long_name "Condition";
    String units "unitless";
  }
  Number_of_Replicates {
    Int32 actual_range 3, 6;
    String long_name "Number_of_replicates";
    String units "count";
  }
  Initial_MPn {
    String long_name "Initial_mpn";
    String units "nM";
  }
  Additional_Amendments {
    String long_name "Additional_amendments";
    String units "unitless";
  }
  Bottle {
    Int32 actual_range 1, 5;
    String long_name "Bottle";
    String units "unitless";
  }
  T1_Timepoint {
    Float32 actual_range 0.05, 2.8;
    String long_name "T1_timepoint";
    String units "days";
  }
  T1_Timepoint_mean_CH4_production {
    Float32 actual_range -0.6898152, 199.3329;
    String long_name "T1_timepoint_mean_ch4_production";
    String units "nmol g^-1";
  }
  T1_Timepoint_CH4_no_sig_fig_rounding {
    Float32 actual_range -4.72617, 1333.872;
    String long_name "T1_timepoint_ch4_no_sig_fig_rounding";
    String units "nmol g^-1";
  }
  T2_Timepoint {
    Float32 actual_range 0.09, 4.1;
    String long_name "T2_timepoint";
    String units "days";
  }
  T2_Timepoint_mean_CH4_production {
    Float32 actual_range -1.155659, 72.40018;
    String long_name "T2_timepoint_mean_ch4_production";
    String units "nmol g^-1";
  }
  T2_Timepoint_CH4_no_sig_fig_rounding {
    Float32 actual_range -1.85365, 100.8861;
    String long_name "T2_timepoint_ch4_no_sig_fig_rounding";
    String units "nmol g^-1";
  }
  T3_Timepoint {
    Float32 actual_range 0.12, 5.8;
    String long_name "T3_timepoint";
    String units "days";
  }
  T3_Timepoint_CH4_production {
    Float32 actual_range -0.05916093, 116.3678;
    String long_name "T3_timepoint_ch4_production";
    String units "nmol g^-1";
  }
  T3_Timepoint_CH4_no_sig_fig_rounding {
    Float32 actual_range -1.21176, 265.3319;
    String long_name "T3_timepoint_ch4_no_sig_fig_rounding";
    String units "nmol g^-1";
  }
  T4_Timepoint {
    Float32 actual_range 0.17, 5.2;
    String long_name "T4_timepoint";
    String units "days";
  }
  T4_Timepoint_CH4_production {
    Float32 actual_range -0.1520578, 157.9983;
    String long_name "T4_timepoint_ch4_production";
    String units "nmol g^-1";
  }
  T4_Timepoint_CH4_no_sig_fig_rounding {
    Float32 actual_range -2.140631, 272.8168;
    String long_name "T4_timepoint_ch4_no_sig_fig_rounding";
    String units "nmol g^-1";
  }
  T5_Timepoint {
    Float32 actual_range 0.21, 2.6;
    String long_name "T5_timepoint";
    String units "days";
  }
  T5_Timepoint_CH4_production {
    Float32 actual_range -0.4020275, 109.1992;
    String long_name "T5_timepoint_ch4_production";
    String units "nmol g^-1";
  }
  T5_Timepoint_CH4_no_sig_fig_rounding {
    Float32 actual_range -0.6946699, 195.7267;
    String long_name "T5_timepoint_ch4_no_sig_fig_rounding";
    String units "nmol g^-1";
  }
  T6_Timepoint {
    Float32 actual_range 0.25, 4.2;
    String long_name "T6_timepoint";
    String units "days";
  }
  T6_Timepoint_CH4_production {
    Float32 actual_range -0.1338867, 129.2932;
    String long_name "T6_timepoint_ch4_production";
    String units "nmol g^-1";
  }
  T6_Timepoint_CH4_no_sig_fig_rounding {
    Float32 actual_range -1.785769, 204.8212;
    String long_name "T6_timepoint_ch4_no_sig_fig_rounding";
    String units "nmol g^-1";
  }
  TFinal_Trial_Duration {
    Float32 actual_range 0.3, 7.9;
    String long_name "Tfinal_trial_duration";
    String units "days";
  }
  TFinal_Final_CH4 {
    Float32 actual_range -0.6898152, 1089.737;
    String long_name "Tfinal_final_ch4";
    String units "nmol g^-1";
  }
  TFinal_Final_CH4_no_sig_fig_rounding {
    Float32 actual_range -4.183262, 1333.872;
    String long_name "Tfinal_final_ch4_no_sig_fig_rounding";
    String units "nmol g^-1";
  }
  TFinal_Percentage_MPn_Addition_Utilized {
    Float32 actual_range -0.2671333, 410.6284;
    String long_name "Tfinal_percentage_mpn_addition_utilized";
    String units "unitless";
  }
  Best_Fit_Rate_by_Bottle_m {
    Float32 actual_range -2.709495, 533.5488;
    String long_name "Best_fit_rate_by_bottle_m";
    String units "unitless";
  }
  Best_Fit_Rate_by_Bottle_b {
    Float32 actual_range -11.03668, 11.89003;
    String long_name "Best_fit_rate_by_bottle_b";
    String units "unitless";
  }
  Best_Fit_Rate_by_Bottle_R {
    Float32 actual_range -1.0, 1.0;
    String long_name "Best_fit_rate_by_bottle_r";
    String units "unitless";
  }
  Best_Fit_Rate_by_Bottle_R_squared {
    Float32 actual_range 2.09383e-6, 1.0;
    String long_name "Best_fit_rate_by_bottle_r_squared";
    String units "unitless";
  }
  Best_Fit_Rate_by_Bottle_N {
    Int32 actual_range 2, 8;
    String long_name "Best_fit_rate_by_bottle_n";
    String units "unitless";
  }
  Best_Fit_Rate_by_Bottle_P {
    Float32 actual_range 0.002846886, 0.9857358;
    String long_name "Best_fit_rate_by_bottle_p";
    String units "unitless";
  }
  Mode {
    String long_name "Mode";
    String units "nmol g^-1";
  }
  Skewness_Score {
    Float32 actual_range -1.789868, 2.22749;
    String long_name "Skewness_score";
    String units "unitless";
  }
  Skewness_Interpretation {
    String long_name "Skewness_interpretation";
    String units "unitless";
  }
  Kurtosis_Score {
    Float32 actual_range -3.504572, 4.969325;
    String long_name "Kurtosis_score";
    String units "unitless";
  }
  Kurtosis_Interpretation {
    String long_name "Kurtosis_interpretation";
    String units "unitless";
  }
  JB_test_Statistic {
    Float32 actual_range 0.001676315, 9.279383;
    String long_name "Jb_test_statistic";
    String units "unitless";
  }
  P_value {
    Float32 actual_range 0.009660681, 0.9991622;
    String long_name "P_value";
    String units "unitless";
  }
  Mean {
    Float32 actual_range -0.4927252, 435.8947;
    String long_name "Mean";
    String units "nmol g^-1";
  }
  Median {
    Float32 actual_range -0.4151078, 435.1051;
    String long_name "Median";
    String units "nmol g^-1";
  }
  Standard_Deviation {
    Float32 actual_range 0.0, 80.4854;
    String long_name "Standard_deviation";
    String units "nmol g^-1";
  }
  Coefficient_of_Variation {
    Float32 actual_range 0.02969571, 1.88685206e+11;
    String long_name "Coefficient_of_variation";
    String units "unitless";
  }
  Standard_Error {
    Float32 actual_range 0.0, 40.2427;
    String long_name "Standard_error";
    String units "unitless";
  }
  Percent_Error {
    Float32 actual_range 1.714483, 1.08937504e+13;
    String long_name "Percent_error";
    String units "unitless";
  }
  Range {
    Float32 actual_range 0.0, 193.729;
    String long_name "Range";
    String units "nmol g^-1";
  }
  Interquartile_Range {
    Float32 actual_range 0.0, 75.79935;
    String long_name "Interquartile_range";
    String units "nmol g^-1";
  }
  Best_Fit_Rate_by_Condition_m {
    Float32 actual_range -0.6738074, 435.8947;
    String long_name "Best_fit_rate_by_condition_m";
    String units "unitless";
  }
  Best_Fit_Rate_by_Condition_b {
    Float32 actual_range -16.5368, 28.68123;
    String long_name "Best_fit_rate_by_condition_b";
    String units "unitless";
  }
  Best_Fit_Rate_by_Condition_R {
    Float32 actual_range -0.7223194, 0.9969308;
    String long_name "Best_fit_rate_by_condition_r";
    String units "unitless";
  }
  Best_Fit_Rate_by_Condition_R_squared {
    Float32 actual_range 0.0, 0.993871;
    String long_name "Best_fit_rate_by_condition_r_squared";
    String units "unitless";
  }
  Best_Fit_Rate_by_Condition_N {
    Int32 actual_range 0, 22;
    String long_name "Best_fit_rate_by_condition_n";
    String units "unitless";
  }
  Best_Fit_Rate_by_Condition_P {
    Float32 actual_range 0.0, 0.9248095;
    String long_name "Best_fit_rate_by_condition_p";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.911212.1";
    String history 
"2024-11-08T05:49:24Z (local files)
2024-11-08T05:49:24Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911212_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/911212";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String sourceUrl "(local files)";
    String summary "The essential nutrient phosphorus is biologically scarce in the Sargasso Sea, yet the pelagic macroalgae Sargassum, for which this area of the North Atlantic Ocean is named, thrives. We tested the hypothesis that Sargassum holobionts utilize methylphosphonate (MPn) as an alternative source of phosphorus, finding lysis liberated phosphonate-derived methane. The observed activity occurred at concentrations as low as 35 nM MPn and was inhibited by antibiotics, implicating microbial members of the holobiont capable of MPn lysis at realistic environmental concentrations. A survey of macroalgal species inhabiting the Sargasso Sea found a ubiquitous capacity for MPn lysis; such capacity was absent in species inhabiting phosphorus-replete waters of the California Current, pointing to phosphorous limitation as a selective pressure. These results suggest algal holobionts may conditionally acquire phosphorus from phosphonates while simultaneously serving as a source of atmospheric methane.";
    String title "[Epiphytic bacteria methane production data] - MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) (Collaborative Research: Do Cyanobacteria Drive Marine Hydrocarbon Biogeochemistry?)";
  }
}

 

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Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP Data Access Protocol (DAP) and its selection constraints.

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

• (easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

 

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