fix typo in OHW_project_list.md

OHW_project_list.md

@@ -26,7 +26,7 @@ AODN portal: https://portal.aodn.org.au/search
 1. [Kerchunk! Bless you](https://github.com/oceanhackweek/ohw22-proj-kerchunk): used data from [Himawari 8 Sea Surface Temperature](https://registry.opendata.aws/noaa-himawari/).
 1. [Mapping eddy flow structures using GCM-Filters](https://github.com/oceanhackweek/ohw22-proj-gcmfilters): used an NCAR dataset from the [Pangeo Catalog](https://catalog.pangeo.io/).
 1. [Ocean Database for South Atlantic](https://github.com/oceanhackweek/ohw22-proj_SA_ocean_db): used data from the [Brazilian National Buoy Program - PNBOIA](https://www.marinha.mil.br/chm/dados-do-goos-brasil/pnboia). 
-1. [Lightweight ocean passive acoustic data query](https://github.com/oceanhackweek/ohw22-proj-passive-acoustics-data-query): used data from Ocean Observatories Initative (OOI), National Centers for Environmental Information (NCEI), and Ocean Networks Canada (OCN)
+1. [Lightweight ocean passive acoustic data query](https://github.com/oceanhackweek/ohw22-proj-passive-acoustics-data-query): used data from Ocean Observatories Initiative (OOI), National Centers for Environmental Information (NCEI), and Ocean Networks Canada (OCN)
 1. [XYZT - Streamline extraction of data](https://github.com/oceanhackweek/ohw22-proj-xyzt): used data from [Copernicus](https://marine.copernicus.eu/) and the [EU MSFD](https://research-and-innovation.ec.europa.eu/research-area/environment/oceans-and-seas/eu-marine-strategy-framework-directive_en).
 1. [ENSO prediction using Deep Learning](https://github.com/oceanhackweek/ohw22-proj-ENSO_Prediction): used coarsened CESM2 Large Ensemble members (SST fields) from 1° to 3° resolution and used the first 10 of 100 CESM2 LE members. Maybe from a CMIP catalog, hard to tell.
 1. Radar Doppler Spectra imaging data quality control: missing gH repository for this project, need to search [OHW repo list](https://github.com/orgs/oceanhackweek/repositories).