The common occurrence-headline surface across every dataset: one scalar per
row, realm 'env'/'bio', provenance-stamped with dataset_key, keyed to
the sampling event via sample_key, and carrying grid_key/cruise_key/
hex_id for rollups. Environmental CTD is represented by the thinned
ctd_thin; use cc_read_ctd_full() for full-resolution scans.
Usage
cc_read_obs(
...,
realm = NULL,
datasets = NULL,
measurement_types = NULL,
version = "latest",
collect = TRUE
)Arguments
- ...
dplyr::filter()expressions applied toobs.- realm
optional
'env'or'bio'to restrict the realm.- datasets
optional vector of
dataset_keys (e.g."calcofi_bottle").- measurement_types
optional vector of
measurement_types.- version
database version (default
"latest").- collect
if
TRUE(default) return a tibble; else the lazydplyr::tbl.