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```{code-cell}
import intake
import hvplot.pandas
import hvplot.xarray
import cook_inlet_catalogs as cic
import holoviews as hv
```

# Underway CTD (NOAA PMEL): Towed on ferry


An oceanographic monitoring system aboard the Alaska Marine Highway System ferry Tustumena operated for four years in the Alaska Coastal Current (ACC) with funding from the Exxon Valdez Oil Spill Trustee Council's Gulf Ecosystem Monitoring Program, the North Pacific Research Board and the National Oceanic and Atmospheric Administration. An electronic public display aboard the ferry educated passengers about the local oceanography and mapped the ferry's progress. Sampling water at 4 m, the underway system measured: (1) temperature and salinity (used in the present report), and (2) nitrate,
(3) chlorophyll fluorescence, (4) colored dissolved organic matter fluorescence, and (5) optical beam transmittance (not used in report).

Nominal 4 meter depth.

NORTH PACIFIC RESEARCH BOARD PROJECT FINAL REPORT
Alaskan Ferry Oceanographic Monitoring in the Gulf of Alaska
NPRB Project 707 Final Report
Edward D. Cokelet and Calvin W. Mordy.
https://www.nodc.noaa.gov/archive/arc0031/0070122/1.1/data/0-data/Final_Report_NPRB_0707.pdf

Exxon Valdez Oil Spill Gulf Ecosystem
Monitoring and Research Project Final Report
Biophysical Observations Aboard Alaska Marine Highway System Ferries
Gulf Ecosystem Monitoring and Research Project 040699
Final Report
Edward D. Cokelet, Calvin W. Mordy, Antonio J. Jenkins, W. Scott Pegau
https://www.nodc.noaa.gov/archive/arc0031/0070122/1.1/data/0-data/Final_Report_GEM_040699.pdf

Archive: https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.nodc%3A0070122/html

![pic](https://www.nodc.noaa.gov/archive/arc0031/0070122/1.1/about/0070122_map.jpg)



```{code-cell}
cat = intake.open_catalog(cic.utils.cat_path("ctd_towed_ferry_noaa_pmel"))
```

## Plot all datasets in catalog

```{code-cell}
dd, ddlabels = cic.utils.combine_datasets_for_map(cat)
dd.hvplot(**cat.metadata["map"]) * ddlabels.hvplot(**cat.metadata["maplabels"])
```

## List available datasets in the catalog

```{code-cell}
dataset_ids = list(cat)
dataset_ids
```

## Select one dataset to investigate

```{code-cell}
try:
    dataset_id = dataset_ids[2]
except:
    dataset_id = dataset_ids[0]
print(dataset_id)

dd = cat[dataset_id].read()
dd
```

## Plot one dataset

```{code-cell}
keys = list(cat[dataset_id].metadata["plots"].keys())
print(keys)

plots = []
for key in keys:
    plot_kwargs = cat[dataset_id].metadata["plots"][key]
    if "clim" in plot_kwargs and isinstance(plot_kwargs["clim"], list):
        plot_kwargs["clim"] = tuple(plot_kwargs["clim"])
    if "dynamic" in plot_kwargs:
        plot_kwargs["dynamic"] = False
    plots.append(cat[dataset_id].ToHvPlot(**plot_kwargs).read())
hv.Layout(plots).cols(1)
```