Related Datasets

Water Velocity and Turbulence Data from Sequim Bay, WA, 2016 - 2025

Publicly accessible License

Collection of publishable datasets from bottom-lander deployments of acoustic Doppler instrumentation in Sequim Bay, WA measured between 2016 and 2025. These data primarily consist of water velocity measurements from ADCPs deployed by PNNL in both the inlet and the bay itself.

Raw data were processed either using custom MATLAB code or the DOLfYN submodule of the MHKiT Python package. ADCP velocity data are typically saved in the East-North-Up coordinate frame, while ADV velocity and turbulence data are saved in principal (streamwise-cross_stream-up) reference frame.

Data products are provided in a few tiers:
.ad2cp or .000: raw binary datafile from the instrument
.a1: processed and quality controlled data, stored in netCDF4 format
.b1: bin-averaged data, stored in netCDF4 format

Deployments are saved under the month and year that they began. Figures and technical reports, if available, are included with the datasets. For more information on the deployments and data structure please see the "README.txt" resource below.

Download All Resources 52.08 MB — 5 files

0. README.txt

README file including information on deployments (location, lat/lon, inst., length) and a directory structure of the data provided in the data lake.

Download 5.5 kB

August 2020 v1.0.0 Dataset

Link to the MHKDR submission for the original August 2020 dataset. This provides the v1.0.0 data for August 2020.

View Linked Dataset

Bathymetry Map.png

Bathymetry map of the inlet with locations of each deployment.

Download 2.52 MB

DOLfYN Information

DOLfYN python package information which can be used to read and analyze the data files.

View

Deployment Summaries.zip

Deployment summary PDF reports for data in 2017-2018.

Download 22.64 MB

Figures.zip

Data figures that accompany the data lake datasets by year-month.

Download 24.7 MB

MHKiT Marine and Hydrokinetic Toolkit

Python MATLAB

MHKiT is open-source marine renewable energy (MRE) software, developed in Python and MATLAB, that includes modules for ingesting, quality controlling, processing, visua... more

View

Marine Energy Data Registry on AWS

AWS public dataset program registry page for data released under the Department of Energy's Water Power Technologies Office (DOE WPTO) Marine Energy Data Lake. The regi... more

View

Sequim Tidal Resource Data on AWS

Sequim Bay water velocity and turbulence data from 2016 - 2025 in AWS S3. For more information on the data see the README file.

AWS CLI Access: aws s3 ls --no-sign-request s3://marine-energy-data/primre/sequim-tidal-resource-deployments/&limit=50

View Data Lake 32.05 GB

Velocity Map.png

Spatial velocity map of the inlet with locations of each deployment.

Download 2.21 MB

Citation Formats

TY  - DATA
AB  - Collection of publishable datasets from bottom-lander deployments of acoustic Doppler instrumentation in Sequim Bay, WA measured between 2016 and 2025. These data primarily consist of water velocity measurements from ADCPs deployed by PNNL in both the inlet and the bay itself. 

Raw data were processed either using custom MATLAB code or the DOLfYN submodule of the MHKiT Python package. ADCP velocity data are typically saved in the East-North-Up coordinate frame, while ADV velocity and turbulence data are saved in principal (streamwise-cross_stream-up) reference frame.

Data products are provided in a few tiers:
   .ad2cp or .000: raw binary datafile from the instrument
   .a1: processed and quality controlled data, stored in netCDF4 format
   .b1: bin-averaged data, stored in netCDF4 format

Deployments are saved under the month and year that they began. Figures and technical reports, if available, are included with the datasets. For more information on the deployments and data structure please see the "README.txt" resource below. 
AU  - Harding, Samuel
A2  - Harker-Klimeš, Genevra
A3  - Cotter, Emma
A4  - McVey, James
DB  - Marine and Hydrokinetic Data Repository
DP  - Open EI | National Laboratory of the Rockies
DO  - 
KW  - Hydrokinetic
KW  - Sequim
KW  - Hydrodynamic
KW  - Tidal
KW  - water velocity
KW  - turbulence
KW  - PNNL
KW  - MHK
KW  - Marine
KW  - tsdat
KW  - dolfyn
KW  - ME data pipeline
KW  - current
KW  - resource
KW  - MCRL
KW  - Sequim Bay
KW  - data
KW  - processed data
KW  - sensor
LA  - English
DA  - 2016/07/12
PY  - 2016
PB  - Pacific Northwest National Laboratory
T1  - Water Velocity and Turbulence Data from Sequim Bay, WA, 2016 - 2025
UR  - https://mhkdr.openei.org/submissions/662
ER  -

Export Citation to RIS

Harding, Samuel, et al. Water Velocity and Turbulence Data from Sequim Bay, WA, 2016 - 2025. Pacific Northwest National Laboratory, 12 July, 2016, Marine and Hydrokinetic Data Repository. https://mhkdr.openei.org/submissions/662.

Harding, S., Harker-Klimeš, G., Cotter, E., & McVey, J. (2016). Water Velocity and Turbulence Data from Sequim Bay, WA, 2016 - 2025. [Data set]. Marine and Hydrokinetic Data Repository. Pacific Northwest National Laboratory. https://mhkdr.openei.org/submissions/662

Harding, Samuel, Genevra Harker-Klimeš, Emma Cotter, and James McVey. Water Velocity and Turbulence Data from Sequim Bay, WA, 2016 - 2025. Pacific Northwest National Laboratory, July, 12, 2016.  Distributed by Marine and Hydrokinetic Data Repository. https://mhkdr.openei.org/submissions/662

@misc{MHKDR_Dataset_662,
title = {Water Velocity and Turbulence Data from Sequim Bay, WA, 2016 - 2025},
author = {Harding, Samuel and Harker-Klimeš, Genevra and Cotter, Emma and McVey, James},
abstractNote = {Collection of publishable datasets from bottom-lander deployments of acoustic Doppler instrumentation in Sequim Bay, WA measured between 2016 and 2025. These data primarily consist of water velocity measurements from ADCPs deployed by PNNL in both the inlet and the bay itself. 



Raw data were processed either using custom MATLAB code or the DOLfYN submodule of the MHKiT Python package. ADCP velocity data are typically saved in the East-North-Up coordinate frame, while ADV velocity and turbulence data are saved in principal (streamwise-cross_stream-up) reference frame.



Data products are provided in a few tiers:

   .ad2cp or .000: raw binary datafile from the instrument

   .a1: processed and quality controlled data, stored in netCDF4 format

   .b1: bin-averaged data, stored in netCDF4 format



Deployments are saved under the month and year that they began. Figures and technical reports, if available, are included with the datasets. For more information on the deployments and data structure please see the "README.txt" resource below. },
url = {https://mhkdr.openei.org/submissions/662},
year = {2016},
howpublished = {Marine and Hydrokinetic Data Repository, Pacific Northwest National Laboratory, https://mhkdr.openei.org/submissions/662},
note = {Accessed: 2026-04-16}
}

Details

Data from Jul 12, 2016

Last updated Jan 27, 2026

Submitted Jan 23, 2026