ERDDAP > Search for Datasets by Category

1) Pick an attribute: 

cdm_data_type institution ioos_category keywords long_name standard_name variableName

2) Pick a(n) variableName: 

aco2 aco2_qc ahgt ahgt_1000 ahgt_1000_qc ahgt_1200 ahgt_1200_qc ahgt_150 ahgt_150_qc ahgt_350 ahgt_350_qc ahgt_550 ahgt_550_qc ahgt_750 ahgt_750_qc ahgt_900 ahgt_900_qc ahgt_qc aslv aslv_qc atms atms_qc cdom cdom_qc chum chum_qc cndc cndc_1 cndc_1000 cndc_1000_qc cndc_1200 cndc_1200_qc cndc_150 cndc_150_qc cndc_1_qc cndc_2 cndc_2_qc cndc_3 cndc_350 cndc_350_qc cndc_3_qc cndc_550 cndc_550_qc cndc_750 cndc_750_qc cndc_900 cndc_900_qc cndc_qc cphl cphl_qc cpwc cpwc_qc cslr cslr_qc curriso depth dox1 dox1_1 dox1_1_qc dox1_2 dox1_2_qc dox1_qc doxy doxy_1 doxy_1000 doxy_1000_qc doxy_1200 doxy_1200_qc doxy_150 doxy_150_qc doxy_1_qc doxy_2 doxy_2_qc doxy_3 doxy_350 doxy_350_qc doxy_3_qc doxy_550 doxy_550_qc doxy_750 doxy_750_qc doxy_900 doxy_900_qc doxy_qc dryt dryt_qc dwrg1 dwrg2 dwrg3 e2m3a ewct ewct_qc ewsb ewsb_qc gdir gdir_qc gspd gspd_qc head head_qc latitude lght lght_qc linc linc_qc longitude lwrd lwrd_qc mambo1 mambo2 mambo3 mambo4 mpmn_1000 mpmn_1000_qc mpmn_1200 mpmn_1200_qc mpmn_150 mpmn_150_qc mpmn_350 mpmn_350_qc mpmn_550 mpmn_550_qc mpmn_750 mpmn_750_qc mpmn_900 mpmn_900_qc nsct nsct_qc pco2 pco2_1 pco2_1_qc pco2_2 pco2_2_qc pco2_qc phph phph_1 phph_1_qc phph_2 phph_2_qc phph_3 phph_3_qc phph_4 phph_4_qc phph_qc pieztag pres pres_1 pres_1_qc pres_2 pres_2_qc pres_3 pres_3_qc pres_qc psal psal_1 psal_1000 psal_1000_qc psal_1200 psal_1200_qc psal_150 psal_150_qc psal_1_qc psal_2 psal_2_qc psal_3 psal_350 psal_350_qc psal_3_qc psal_550 psal_550_qc psal_750 psal_750_qc psal_900 psal_900_qc psal_qc ptemp_1000 ptemp_1000_qc ptemp_1200 ptemp_1200_qc ptemp_150 ptemp_150_qc ptemp_350 ptemp_350_qc ptemp_550 ptemp_550_qc ptemp_750 ptemp_750_qc ptemp_900 ptemp_900_qc relh relh_qc rvfl rvfl_qc sigt_1000 sigt_1000_qc sigt_1200 sigt_1200_qc sigt_150 sigt_150_qc sigt_350 sigt_350_qc sigt_550 sigt_550_qc sigt_750 sigt_750_qc sigt_900 sigt_900_qc sinc sinc_qc svel svel_1 svel_1_qc svel_2 svel_2_qc svel_3 svel_3_qc svel_qc temp temp_1 temp_1000 temp_1000_qc temp_1200 temp_1200_qc temp_150 temp_150_qc temp_1_qc temp_2 temp_2_qc temp_3 temp_350 temp_350_qc temp_3_qc temp_4 temp_4_qc temp_550 temp_550_qc temp_750 temp_750_qc temp_900 temp_900_qc temp_qc time tmes tmes_1 tmes_1_qc tmes_2 tmes_2_qc tmes_3 tmes_3_qc tmes_4 tmes_4_qc tmes_qc tur4 tur4_qc vavh vavh_qc vavt vavt_qc vcsp vcsp_qc vh110 vh110_qc vhm0 vhm0_qc vped vped_qc vpsp vpsp_qc vsrw vsrw_qc vt110 vt110_qc vtmx vtmx_qc vtpk vtpk_qc vtza vtza_qc vzmx vzmx_qc wdir wdir_qc wspd wspd_qc

3) The results of the search for variableName = cndc_qc

9 matching datasets, listed in alphabetical order. (Or, refine this search with Advanced Search  )
 

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph			E2M3A SBE16PLS timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	E2M3A_SBE16PLS
		data	graph			E2M3A SBE37O timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	E2M3A_SBE37O
		data	graph		files	E2M3A timeSeries, data collected from 2021 to 2022		F   I   M	background			National Institut...	E2M3A_2021_2022_TS
		data	graph			MAMBO1 10m SBE16PLS01 timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	MAMBO1_SBE16PLS01
		data	graph			MAMBO1 15m SBE16PLS02 timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	MAMBO1_SBE16PLS02
		data	graph			MAMBO1 2m SBE37O timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	MAMBO1_SBE37O
		data	graph		files	MAMBO1 timeSeries, data collected from 2021 to 2023		F   I   M	background			National Institut...	MAMBO1_2021_2023_TS
		data	graph			MAMBO2 timeSeries, NRT in situ Observations		F   I   M	background			Protezione Civile...	MAMBO2_TS
		data	graph			MAMBO3 timeSeries, NRT in situ Observations		F   I   M	background			Protezione Civile...	MAMBO3_TS

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.

 

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