Subset

Dataset Title:	* The List of All Active Datasets in this ERDDAP *
Institution:	CNR-ISP (Dataset ID: allDatasets)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Make a graph

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Select a subset: (Current number of distinct combinations of matching data: 4)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

accessible	=	1 option: public
dataStructure	=	1 option: table
cdm_data_type	=	2 options
class	=	2 options
institution	=	4 options
testOutOfDate	=	2 options

View: Distinct Data Counts Distinct Data Related Data Counts Related Data

Distinct Data Counts

To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.

Distinct Data (Metadata) (Refine the data subset and/or download the data)

accessible	dataStructure	cdm_data_type	class	institution	testOutOfDate

public	table	Other	EDDTableFromAllDatasets	CNR-ISP
public	table	TimeSeries	EDDTableFromAsciiFiles	Ca' Foscari University of Venice - Department of Environmental Sciences, Informatics and Statistics	now-33days
public	table	TimeSeries	EDDTableFromAsciiFiles	Italian National Research Council - Institute of Polar Sciences
public	table	TimeSeries	EDDTableFromAsciiFiles	University of Florence, Dept. of Chemistry

In total, there are 4 rows of distinct combinations of the variables listed above. All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.

Related Data Counts

To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.

To view the related data, change View : Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.