Open bbest opened 3 years ago
This is a much preferred way to tag taxa:
biological_taxon_identifier "Biological taxon" is a name or other label identifying an organism or a group of organisms as belonging to a unit of classification in a hierarchical taxonomy. The quantity with standard name biological_taxon_identifier is the machine-readable identifier for the taxon registration in either WoRMS (the AphiaID) or ITIS (the taxonomic serial number or TSN), including namespace. The namespace strings are 'aphia:' or 'tsn:'. For example, Calanus finmarchicus is encoded as either 'aphia:104464' or 'tsn:85272'. For the marine domain WoRMS has more complete coverage and so aphia Ids are preferred. See Section 6.1.2 of the CF convention (version 1.8 or later) for information about biological taxon auxiliary coordinate variables.
biological_taxon_name "Biological taxon" is a name or other label identifying an organism or a group of organisms as belonging to a unit of classification in a hierarchical taxonomy. The quantity with standard name biological_taxon_name is the human-readable label for the taxon such as Calanus finmarchicus. The label should be registered in either WoRMS (http://www.marinespecies.org) or ITIS (https://www.itis.gov/) and spelled exactly as registered. See Section 6.1.2 of the CF convention (version 1.8 or later) for information about biological taxon auxiliary coordinate variables.
Despite this 1 of 3 categories including 13 of 34 IOOS Core Variables (ocean observing measurements required to detect and predict changes in the ocean)
BIOLOGY AND ECOSYSTEMS
The status of QARTOD manuals addressing the 34 IOOS Core Variables:
Only Phytoplankton Species and Abundance explicitly handled:
Otherwise Manual not feasible:
Thank you for joining the “Marine Energy Data Standards” webinar on April 20, 2021.
The webinar recording and presentation slides are now available on the Portal and Repository for Information on Marine Renewable Energy (PRIMRE).
If you have any questions or feedback, please reach out to the Marine Energy Data Pipeline team at mhkitcode@pnnl.gov.
And don’t forget to register for the next webinar, “Marine Energy Data Pipeline”, at 11:00am PST on May 11, 2021
For example aphia:104464
would resolve to http://www.marinespecies.org/aphia.php?p=taxdetails&id=104464 with full taxonomic hierarchy:
ESA document goes into species level details.
Document a standardized set of vocabulary and encourage use amongst PNNL/NREL/OpenEI community.
We have a set of hierarchical terms (see marineenergy/apps#17) delimited by dots without spaces that we've presented in a reformatted version in the tags for the ME API /ferc_docs, such as:
From Grace:
From this morning’s Tethys Blast, a 2-part webinar series hosted by PRIMRE that will discuss marine energy data standards and a new tool that standardizes raw data. Unfortunately, I have conflicts during both of these webinars but hoping one of us can join.
The Portal and Repository for Information on Marine Renewable Energy (PRIMRE) is hosting two webinars for the Marine Energy Data Pipeline team, led by the Pacific Northwest National Laboratory, to discuss data standards and introduce the development of the new marine energy data pipeline. The first webinar, “Marine Energy Data Standards”, will take place at 11:00am PDT (6:00pm UTC) on April 20, 2021 and will focus on recently developed data standards. Register here. The second webinar, “Marine Energy Data Pipeline”, will take place at 11:00am PDT (6:00pm UTC) on May 11, 2021 and will focus on the demonstration of the open source time series data utility that can be used to convert raw data to standardized format.
From @geocoug:
I was able to sit in on the second half of the data standards webinar. PNNL is interested in helping develop conventionals for ME related data, and applying those in their data pipeline. They have been working with the MHKDR team to develop data models (and probably others that I missed), but are lacking in actual data to expand their pipeline. They are looking for early pipeline adopters to work with and expand the overall capacity.
Here are some resources mentioned:
Data conventions: https://cfconventions.org/index.html
QA/QC steps: https://ioos.noaa.gov/project/qartod
Marine Energy Data Management Python package - "MHKiT-Python is a Python package designed for marine renewable energy applications to assist in data processing and visualization": https://github.com/clansing/MHKiT-Python
Tsdat Python library (basis for an ME data pipeline) - "Time series data utilities for declaratively applying standardization, Q/C, and transformations to datastreams": https://github.com/tsdat/tsdat
Marine Energy Pipeline Software (pipeline not available yet but the tsdat docs are relevant): https://github.com/ME-Data-Pipeline-Software