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_qc aslv aslv_qc atms atms_qc cdom cdom_qc chum chum_qc cndc cndc_1 cndc_1_qc cndc_2 cndc_2_qc cndc_3 cndc_3_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_1_qc doxy_2 doxy_2_qc doxy_3 doxy_3_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 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_qc pieztag pres pres_1 pres_1_qc pres_2 pres_2_qc pres_3 pres_3_qc pres_qc psal psal_1 psal_1_qc psal_2 psal_2_qc psal_3 psal_3_qc psal_qc relh relh_qc rvds rvds_qc rvfl rvfl_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_1_qc temp_2 temp_2_qc temp_3 temp_3_qc temp_4 temp_4_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 = temp

16 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			CURRISO timeSeries, NRT in situ Observations		F   I   M	background			Protezione Civile...	CURRISO_TS
		data	graph			E2M3A C3FLUO timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	E2M3A_C3FLUO
		data	graph			E2M3A SAMI timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	E2M3A_SAMI
		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 SBE16PLS01 timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	MAMBO1_SBE16PLS01
		data	graph			MAMBO1 SBE16PLS02 timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	MAMBO1_SBE16PLS02
		data	graph			MAMBO1 SBE37O timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	MAMBO1_SBE37O
		data	graph			MAMBO1 SEAFET timeSeries, NRT in situ Observations		F   I   M	background			National Institut...	MAMBO1_SEAFET
		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
		data	graph			MAMBO4 ADCP timeSeries, NRT in situ Observations		F   I   M	background			Protezione Civile...	MAMBO4_ADCP
		data	graph			MAMBO4 timeSeries ALL INSTRUMENTS, NRT in situ Observations		F   I   M	background			Protezione Civile...	MAMBO4_TS
		data	graph			PIEZTAG timeSeries, NRT in situ Observations		F   I   M	background			Protezione Civile...	PIEZTAG_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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