The Research Ready Datasets (RRDS) service is a tool for timeseries data selection based on quality control criteria selected by the user. The service returns a request (or more detailed report) designed to be submitted to other web services to retrieve data or metadata.
Design and use philosophy
This interface is designed to support client-side access to data that meets with specific quality controls as defined by metrics associated with that data. In this model, user software submits a request containing limits on various metrics of interest. The data that pass this set of search filters are returned in a form suitable for submission to other web services.
The definition of quality is thus up to the user. By combining different metrics, and adjusting the search filters on those metrics, the user can design a flexible and reusable interface for obtaining research-ready data sets.
The service returns either a request designed to be submitted to other services to retrieve the selected data or metadata. Note: this service does not directly return any data.
request format (…&format=request)
request format shows the channel data that passed all of the user’s metric constraints. It is a simplified “request format” ready to be submitted to another web service.
report format (…&format=report)
report output provides additional information below the request section. Channel data that failed a particular metric constraint are listed in a simple line-by-line format suitable for subsequent script input or data table.
verbosereport format (…&format=verbosereport)
verbosereport output, like the “report” output, shows the metric failures but is organized in a more human-readable display.
Metrics: Using comparators
RRDS data are queried using a string combination of a metric plus a comparator suffix. There are six comparators:
_eq– Equal (the default if omitted)
_ne– Not equal
_gt– Greater than
_ge– Greater than or equal
_lt– Less than
_le– Less than or equal
Here are some other examples of the metric & comparator combination:
|percent_availability_eq=100||The percent_availability metric is equal to 100|
|percent_availability=100||The percent_availability metric is equal to 100||Omitted a comparator, therefore the parameter defaults to ‘percent_availability_eq’|
|percent_availability_ne=0||The percent_availability metric is not equal to 0|
|ts_num_gaps_le=1||The num_gaps metric (specific to selected time window) is less than or equal to 1|
|timing_quality_gt=95||The timing_quality metric is greater than 95|
|transfer_function-gain_ratio_gt=1||The gain_ratio submetric of the transfer_function metric is greater than 1||Use a hyphen (-) between a metric and its submetric|
|noise_mode_diff_lt=hnm-15,0.001,100.0||Deviations from the HNM are lower than -15 dB from the HNM in the frequency range 0.001 to 100.0 Hz||The range values default to Hz (frequency range)|
|noise_mode_diff_ge=lnm+15,1000s,0.01s||Deviations from the LNM exceed or are at +15 dB from the LNM in the period range 1000 to 0.01 seconds||Use the ‘s’ character to indicate seconds (period range)|
Problems with this service?
Please send an email report of which service you were using, your URL query, and any error feedback to:
ws-issues AT iris.washington.edu
We will address your issue as soon as possible.