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rho_a_amb;\n  optional double field_id=-1 rho_d;\n  optional double field_id=-1 rho_a;\n  optional double field_id=-1 Cp;\n  optional double field_id=-1 Lv;\n  optional double field_id=-1 T_panel;\n  optional double field_id=-1 V_batt;\n  optional double field_id=-1 slowsequence_Tot;\n  optional double field_id=-1 process_time;\n  optional double field_id=-1 process_time_Max;\n  optional double field_id=-1 buff_depth_Max;\n  optional int64 field_id=-1 timestamp_local (Timestamp(isAdjustedToUTC=true, timeUnit=nanoseconds, is_from_converted_type=false, force_set_converted_type=false));\n  optional int64 field_id=-1 timestamp_utc (Timestamp(isAdjustedToUTC=true, timeUnit=nanoseconds, is_from_converted_type=false, force_set_converted_type=false));\n  optional binary field_id=-1 station_id (String);\n  optional binary field_id=-1 dataset_name (String);\n  optional binary field_id=-1 source_year (String);\n  optional binary field_id=-1 timezone_name (String);\n  optional binary field_id=-1 source_level (String);\n  optional int64 field_id=-1 source_row_count;\n  optional int64 field_id=-1 qc_stub_any_flag;\n  optional double field_id=-1 qc_stub_keep_fraction;\n  optional double field_id=-1 native_frequency_minutes;\n  optional int64 field_id=-1 target_frequency_minutes;\n  optional binary field_id=-1 aggregation_note (String);\n}\n"},"kv_metadata":[["ARROW:schema",{"$cut":{"chars":32288,"head":""}}],["pandas","{\"index_columns\": [], \"column_indexes\": [], \"columns\": [{\"name\": \"RECORD\", \"field_name\": \"RECORD\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UxUy_Cov\", \"field_name\": \"UxUy_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UxUz_Cov\", \"field_name\": \"UxUz_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UyUz_Cov\", \"field_name\": \"UyUz_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"TsUx_Cov\", \"field_name\": \"TsUx_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"TsUy_Cov\", \"field_name\": \"TsUy_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"TsUz_Cov\", \"field_name\": \"TsUz_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"USTAR_R\", \"field_name\": \"USTAR_R\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"U\", \"field_name\": \"U\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"U_SIGMA\", \"field_name\": \"U_SIGMA\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"V\", \"field_name\": \"V\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"V_SIGMA\", \"field_name\": \"V_SIGMA\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"W\", \"field_name\": \"W\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"W_SIGMA\", \"field_name\": \"W_SIGMA\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UV_Cov\", \"field_name\": \"UV_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UW_Cov\", \"field_name\": \"UW_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"VW_Cov\", \"field_name\": \"VW_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UT_SONIC_Cov\", \"field_name\": \"UT_SONIC_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"VT_SONIC_Cov\", \"field_name\": \"VT_SONIC_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"WT_SONIC_Cov\", \"field_name\": \"WT_SONIC_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UW_Cov_fc\", \"field_name\": \"UW_Cov_fc\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"VW_Cov_fc\", \"field_name\": \"VW_Cov_fc\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"WT_SONIC_Cov_fc\", \"field_name\": \"WT_SONIC_Cov_fc\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"WT_SONIC_Cov_fc_SND\", \"field_name\": \"WT_SONIC_Cov_fc_SND\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"sonic_samples\", \"field_name\": \"sonic_samples\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"diag_sonic_aggregate\", \"field_name\": \"diag_sonic_aggregate\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"no_sonic_head_Tot\", \"field_name\": \"no_sonic_head_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"no_new_sonic_data_Tot\", \"field_name\": \"no_new_sonic_data_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"sonic_amp_l_f_Tot\", \"field_name\": \"sonic_amp_l_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"sonic_amp_h_f_Tot\", \"field_name\": \"sonic_amp_h_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"sonic_sig_lck_f_Tot\", \"field_name\": \"sonic_sig_lck_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"sonic_del_T_f_Tot\", \"field_name\": \"sonic_del_T_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"sonic_aq_sig_f_Tot\", \"field_name\": \"sonic_aq_sig_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"sonic_cal_err_f_Tot\", \"field_name\": \"sonic_cal_err_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UxCO2_Cov\", \"field_name\": \"UxCO2_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UyCO2_Cov\", \"field_name\": \"UyCO2_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UzCO2_Cov\", \"field_name\": \"UzCO2_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UxH2O_Cov\", \"field_name\": \"UxH2O_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UyH2O_Cov\", \"field_name\": \"UyH2O_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UzH2O_Cov\", \"field_name\": \"UzH2O_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UCO2_Cov\", \"field_name\": \"UCO2_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"VCO2_Cov\", \"field_name\": \"VCO2_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"WCO2_Cov\", \"field_name\": \"WCO2_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UH2O_Cov\", \"field_name\": \"UH2O_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"VH2O_Cov\", \"field_name\": \"VH2O_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"WH2O_Cov\", \"field_name\": \"WH2O_Cov\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"WCO2_Cov_fc\", \"field_name\": \"WCO2_Cov_fc\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"WH2O_Cov_fc\", \"field_name\": \"WH2O_Cov_fc\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"CO2_E_WPL_fc\", \"field_name\": \"CO2_E_WPL_fc\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"CO2_T_WPL_fc\", \"field_name\": \"CO2_T_WPL_fc\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"H2O_E_WPL_fc\", \"field_name\": \"H2O_E_WPL_fc\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"H2O_T_WPL_fc\", \"field_name\": \"H2O_T_WPL_fc\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"CO2_samples\", \"field_name\": \"CO2_samples\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"H2O_samples\", \"field_name\": \"H2O_samples\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"diag_irga_aggregate\", \"field_name\": \"diag_irga_aggregate\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"no_irga_head_Tot\", \"field_name\": \"no_irga_head_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"no_new_irga_data_Tot\", \"field_name\": \"no_new_irga_data_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_bad_data_f_Tot\", \"field_name\": \"irga_bad_data_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_gen_fault_f_Tot\", \"field_name\": \"irga_gen_fault_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_startup_f_Tot\", \"field_name\": \"irga_startup_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_motor_spd_f_Tot\", \"field_name\": \"irga_motor_spd_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_tec_tmpr_f_Tot\", \"field_name\": \"irga_tec_tmpr_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_src_pwr_f_Tot\", \"field_name\": \"irga_src_pwr_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_src_tmpr_f_Tot\", \"field_name\": \"irga_src_tmpr_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_src_curr_f_Tot\", \"field_name\": \"irga_src_curr_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_off_f_Tot\", \"field_name\": \"irga_off_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_sync_f_Tot\", \"field_name\": \"irga_sync_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_amb_tmpr_f_Tot\", \"field_name\": \"irga_amb_tmpr_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_amb_press_f_Tot\", \"field_name\": \"irga_amb_press_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_CO2_I_f_Tot\", \"field_name\": \"irga_CO2_I_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_CO2_Io_f_Tot\", \"field_name\": \"irga_CO2_Io_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_H2O_I_f_Tot\", \"field_name\": \"irga_H2O_I_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_H2O_Io_f_Tot\", \"field_name\": \"irga_H2O_Io_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_CO2_Io_var_f_Tot\", \"field_name\": \"irga_CO2_Io_var_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_H2O_Io_var_f_Tot\", \"field_name\": \"irga_H2O_Io_var_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_CO2_sig_strgth_f_Tot\", \"field_name\": \"irga_CO2_sig_strgth_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_H2O_sig_strgth_f_Tot\", \"field_name\": \"irga_H2O_sig_strgth_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_cal_err_f_Tot\", \"field_name\": \"irga_cal_err_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"irga_htr_ctrl_off_f_Tot\", \"field_name\": \"irga_htr_ctrl_off_f_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"alpha\", \"field_name\": \"alpha\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"beta\", \"field_name\": \"beta\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"gamma\", \"field_name\": \"gamma\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"height_measurement\", \"field_name\": \"height_measurement\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"height_canopy\", \"field_name\": \"height_canopy\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"displacement_user\", \"field_name\": \"displacement_user\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"d\", \"field_name\": \"d\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"roughness_user\", \"field_name\": \"roughness_user\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"z0\", \"field_name\": \"z0\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"z\", \"field_name\": \"z\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"MO_LENGTH\", \"field_name\": \"MO_LENGTH\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"ZL\", \"field_name\": \"ZL\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"iteration_FreqFactor\", \"field_name\": \"iteration_FreqFactor\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"latitude\", \"field_name\": \"latitude\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"longitude\", \"field_name\": \"longitude\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"altitude\", \"field_name\": \"altitude\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"UTC_OFFSET\", \"field_name\": \"UTC_OFFSET\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"separation_x_irga\", \"field_name\": \"separation_x_irga\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"separation_y_irga\", \"field_name\": \"separation_y_irga\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"separation_lat_dist_irga\", \"field_name\": \"separation_lat_dist_irga\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"separation_lag_dist_irga\", \"field_name\": \"separation_lag_dist_irga\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"separation_lag_scan_irga\", \"field_name\": \"separation_lag_scan_irga\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"MAX_LAG\", \"field_name\": \"MAX_LAG\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"lag_irga\", \"field_name\": \"lag_irga\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"FreqFactor_UW_VW\", \"field_name\": \"FreqFactor_UW_VW\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"FreqFactor_WT_SONIC\", \"field_name\": \"FreqFactor_WT_SONIC\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"FreqFactor_WCO2_WH2O\", \"field_name\": \"FreqFactor_WCO2_WH2O\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"rho_d_amb\", \"field_name\": \"rho_d_amb\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"rho_a_amb\", \"field_name\": \"rho_a_amb\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"rho_d\", \"field_name\": \"rho_d\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"rho_a\", \"field_name\": \"rho_a\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"Cp\", \"field_name\": \"Cp\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"Lv\", \"field_name\": \"Lv\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"T_panel\", \"field_name\": \"T_panel\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"V_batt\", \"field_name\": \"V_batt\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"slowsequence_Tot\", \"field_name\": \"slowsequence_Tot\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"process_time\", \"field_name\": \"process_time\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"process_time_Max\", \"field_name\": \"process_time_Max\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"buff_depth_Max\", \"field_name\": \"buff_depth_Max\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"timestamp_local\", \"field_name\": \"timestamp_local\", \"pandas_type\": \"datetimetz\", \"numpy_type\": \"datetime64[ns]\", \"metadata\": {\"timezone\": \"America/Denver\"}}, {\"name\": \"timestamp_utc\", \"field_name\": \"timestamp_utc\", \"pandas_type\": \"datetimetz\", \"numpy_type\": \"datetime64[ns]\", \"metadata\": {\"timezone\": \"UTC\"}}, {\"name\": \"station_id\", \"field_name\": \"station_id\", \"pandas_type\": \"unicode\", \"numpy_type\": \"object\", \"metadata\": null}, {\"name\": \"dataset_name\", \"field_name\": \"dataset_name\", \"pandas_type\": \"unicode\", \"numpy_type\": \"object\", \"metadata\": null}, {\"name\": \"source_year\", \"field_name\": \"source_year\", \"pandas_type\": \"unicode\", \"numpy_type\": \"object\", \"metadata\": null}, {\"name\": \"timezone_name\", \"field_name\": \"timezone_name\", \"pandas_type\": \"unicode\", \"numpy_type\": \"object\", \"metadata\": null}, {\"name\": \"source_level\", \"field_name\": \"source_level\", \"pandas_type\": \"unicode\", \"numpy_type\": \"object\", \"metadata\": null}, {\"name\": \"source_row_count\", \"field_name\": \"source_row_count\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"qc_stub_any_flag\", \"field_name\": \"qc_stub_any_flag\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"qc_stub_keep_fraction\", \"field_name\": \"qc_stub_keep_fraction\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"native_frequency_minutes\", \"field_name\": \"native_frequency_minutes\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"target_frequency_minutes\", \"field_name\": \"target_frequency_minutes\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"aggregation_note\", \"field_name\": \"aggregation_note\", \"pandas_type\": \"unicode\", \"numpy_type\": \"object\", \"metadata\": null}], \"attributes\": {}, \"creator\": {\"library\": \"pyarrow\", \"version\": \"22.0.0\"}, \"pandas_version\": \"2.3.3\"}"]]}
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[1976.0,0.05987528,-0.004359111,0.009677425,-0.03663853,-0.1122043,0.0605883,0.06822012,0.7084782,0.8910469,0.0,0.6213373,9.313226e-10,0.196775,-0.1074067,0.0008598501,0.004573863,-0.1067001,0.0488544,0.06189866,0.000877676,0.004668686,0.06288329,null,18000.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.04516728,0.3124471,-0.1554112,-0.01790838,0.0729467,0.02165613,0.3035872,-0.07953458,-0.1591383,0.07474207,0.009709218,0.02074304,-0.1656137,0.02158708,null,null,null,null,18000.0,17138.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,-0.7011676,0.0,96.36636,2.3,0.0,0.0,0.0,0.0,0.015459,2.3,-0.3788978,-6.070239,2.0,41.29569,-112.3062,1300.0,-7.0,0.04066,0.02905,-0.04363048,0.02436225,0.3438936,5.0,0.0,1.020731,1.015907,1.04069,1046.103,1.046363,null,null,null,2454.862,32.95158,13.29315,353.0,22.02478,22.137,0.0,"2025-05-22T00:00:00.000000000Z","2025-05-22T00:00:00.000000000Z","uucmf","fluxnotes","2025","America/Denver","0b_v2",1,0,1.0,30.0,30,"v2 merged yearly logical table aggregated using TOA5 processing types with QC stub"]
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[1987.0,-0.00702548,-0.01482403,0.05131678,0.01664346,0.00524199,0.008587889,0.2422103,2.178538,0.5778066,0.0,0.4760846,3.72529e-09,0.2393109,-0.06210941,-0.05761339,0.01106248,0.002986701,0.01721857,0.008534381,-0.05812443,0.01116061,0.00860746,0.005929349,18000.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,-0.06814039,-0.3379447,-0.07532567,0.01693463,0.0525952,0.01747292,0.2694412,-0.2132547,-0.08029677,-0.03897327,0.03883858,0.01819307,-0.08310522,0.01882939,0.01770272,0.01247894,4.223756e-05,2.977394e-05,18000.0,16288.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,-1.054256,0.0,296.8131,2.3,0.0,0.0,0.0,0.0,0.015459,2.3,-121.2289,-0.01897238,2.0,41.29569,-112.3062,1300.0,-7.0,0.04066,0.02905,0.04939226,-0.007585658,-0.03482581,5.0,0.0,1.00887,1.008563,1.034976,1049.949,1.051408,1046.088,1.047547,1005.321,2458.164,18.55875,12.79644,353.0,21.99568,22.113,0.0,"2025-05-22T05:30:00.000000000Z","2025-05-22T05:30:00.000000000Z","uucmf","fluxnotes","2025","America/Denver","0b_v2",1,0,1.0,30.0,30,"v2 merged yearly logical table aggregated using TOA5 processing types with QC stub"]
[1994.0,-0.2183392,-0.07676066,0.2799958,-0.0329567,0.1155174,0.04300484,0.5505567,4.991071,1.095651,0.0,0.7192832,7.450581e-09,0.5650327,-0.09019995,-0.2978914,0.05601786,-0.1175723,0.02141931,0.0446967,-0.2995802,0.05633543,0.04498873,null,18000.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,-0.8222715,0.0,296.1944,2.3,0.0,0.0,0.0,0.0,0.05652487,2.3,-266.9302,-0.008616486,2.0,41.29569,-112.3062,1300.0,-7.0,0.04066,0.02905,0.04930747,-0.008118566,-0.01626785,5.0,0.0,1.005669,1.006534,1.032796,null,null,null,null,null,null,15.1393,12.67553,353.0,21.09698,21.161,0.0,"2025-05-22T09:00:00.000000000Z","2025-05-22T09:00:00.000000000Z","uucmf","fluxnotes","2025","America/Denver","0b_v2",1,0,1.0,30.0,30,"v2 merged yearly logical table aggregated using TOA5 processing types with QC stub"]
[2004.0,-0.05603299,0.005763095,0.01283204,0.0238939,0.03822007,0.01071303,0.1319356,1.731289,0.4386854,0.0,0.4822067,3.72529e-09,0.1394738,0.05434882,-0.01739425,0.000666157,-0.04333065,0.01161856,0.01157261,-0.01757757,0.0006731777,0.01168242,null,18000.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,-0.1184973,0.1627289,-0.03713286,null,null,null,-0.1214742,-0.1610546,-0.03473625,null,null,null,-0.0357638,null,null,null,null,null,17813.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,-1.133691,0.0,252.9252,2.3,0.0,0.0,0.0,0.0,0.003719965,2.3,-14.19178,-0.1620657,2.0,41.29569,-112.3062,1300.0,-7.0,0.04066,0.02905,0.03033817,-0.03970811,-0.2294003,5.0,0.0,1.010539,1.00949,1.029581,null,null,null,null,null,null,17.28092,12.62929,353.0,21.53637,21.605,0.0,"2025-05-22T14:00:00.000000000Z","2025-05-22T14:00:00.000000000Z","uucmf","fluxnotes","2025","America/Denver","0b_v2",1,0,1.0,30.0,30,"v2 merged yearly logical table aggregated using TOA5 processing types with QC stub"]
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