populate page with all projects

Author: ngkavin

_pages/projects.md

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-title: 2019 Projects
+title: 2019 HackWeek Projects
 permalink: projects.html
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-OceanHackWeek is not just about learning, it is also about using what is learned to create exciting new tools in collaboration with others. The Oceanhackweek organizing committee worked hard to foster an inclusive and supportive learning environment based on the shared insterests of its members. They were awed by the creativity and dedication of the eleven groups that worked and presented a project during the conclusion of OceanHackWeek, and are proud to be able to share these projects here.
+OceanHackWeek is not just about learning, it is also about using what is learned to create exciting new tools in collaboration with others. The OceanHackWeek organizing committee worked hard to foster an inclusive and supportive learning environment based on the shared interests of its members. They were awed by the creativity and dedication of the eleven groups that worked and presented a project during the conclusion of OceanHackWeek, and are proud to be able to share these projects here.
+
+Will Update with YouTube links soon
 
 
 ---
 
-### Project: Template Matching to Identify Features in Vertical Profiles
+### Project: TMIFVP
+
+Template Matching to Identify Features in Vertical Profiles, or TMIFVP, is a tool designed to match and quantify the difference between a template profile and user-submitted data, clearly highlighting features for quality matching scores and location of problematic or interesting attributes. More broadly, this pipeline could be used to analyze and compare many types of graphs and profiles, including but not limited to: Michaelis-Menten population curves, Metabolomic and proteomic spectrographic peaks, and environmental time series data to identify outliers.
+
+**Github Page**: [https://github.com/oceanhackweek/ohw19-projects-TMIVP](https://github.com/oceanhackweek/ohw19-projects-TMIVP)\
+**Presentation**: [video](https://www.dropbox.com/sh/lqvin95rcqyq4tq/AAAbrhKHy-ZUDA9F47LUKFj-a?dl=0&preview=proj1_TMIFVP.mp4)
+
+### Project: Trackpy
+
+This project allows Python beginners a way to easily link and visualize animal movement data with sensed oceanographic data and databases of mesoscale oceanographic features.
+
+
+**Github Page**: [https://github.com/oceanhackweek/ohw19-projects-Trackpy](https://github.com/oceanhackweek/ohw19-projects-Trackpy)\
+**Presentation**: [video](https://www.dropbox.com/sh/lqvin95rcqyq4tq/AAAbrhKHy-ZUDA9F47LUKFj-a?dl=0&preview=proj2_TRACKPY.mp4)
+
+### Project: Isopy
+
+Isopy is a python package that allows users to calculate isosurfaces, and variables along isopycnals, from 3d datasets.
+
+**Github Page**: [https://github.com/oceanhackweek/DataAccess/tree/master/isopy](https://github.com/oceanhackweek/DataAccess/tree/master/isopy)\
+**Presentation**: [video](https://www.dropbox.com/sh/lqvin95rcqyq4tq/AAAbrhKHy-ZUDA9F47LUKFj-a?dl=0&preview=proj3_ISOPY.mp4)
+
+### Project: Underwater Currency Counter
+
+Called, "a Semi Supervised Annotation Tool: Kickass AI to count sand dollars", the Underwater Currency Counter is an effort to train a deep object recognition algorithm to count sand dollars from benthic habitat imagery data collected from ROVs.
+
+**Github Page**: [https://github.com/oceanhackweek/ohw19-project-computer_vision_club](https://github.com/oceanhackweek/ohw19-project-computer_vision_club)\
+**Presentation**: [video](https://www.dropbox.com/sh/lqvin95rcqyq4tq/AAAbrhKHy-ZUDA9F47LUKFj-a?dl=0&preview=proj4_SANDDOLLARS.mp4)
+
+### Project: Co-Locators
+
+This team aims to provide a way to Co-locate oceanographic data by establishing constraints. The tools they developed allow users to provide geospacial bounds in a temporal range to get an aggregated response of all available data.
+
+**Github Page**: [https://github.com/oceanhackweek/ohw19-project-co_locators](https://github.com/oceanhackweek/ohw19-project-co_locators)\
+**Presentation**: [video](https://www.dropbox.com/sh/lqvin95rcqyq4tq/AAAbrhKHy-ZUDA9F47LUKFj-a?dl=0&preview=proj5_COLOCATORS.mp4)
+
+### Project: 21st Century Prediction of Fish Larvae Catch Using ML
+
+This project is a machine learning effort to predict fish larvae catch numbers.
+
+**Github Page**: [https://github.com/oceanhackweek/ohw19-project-CMIP6-larvae-ML](https://github.com/oceanhackweek/ohw19-project-CMIP6-larvae-ML)\
+**Presentation**: [video](https://youtube.com)
+
+### Project: Modeling Volcano Deformation at Axial Seamount
+
+A Jupyter notebook intended to teach and demonstrate to undergraduates about volcano and seafloor deformation, and how previous volcanic eruptions of Axial Seamount were used to forecast future eruptions. This notebook also allows students to forecast the next eruption themselves!
+
+**Presentation**: [video](https://www.dropbox.com/sh/lqvin95rcqyq4tq/AAAbrhKHy-ZUDA9F47LUKFj-a?dl=0&preview=proj7_VOLCANOS.mp4)
+
+### Project: DataStreamSync
+
+The objective is to create an interface that allows to visualize the spectrogram and waveform of the fish sounds detected as well as the video and sonar data at the time of the detection.
+
+**Github Page**: [https://github.com/oceanhackweek/ohw19-projects-DataStreamSync](https://github.com/oceanhackweek/ohw19-projects-DataStreamSync)\
+**Presentation**: [video](https://www.dropbox.com/sh/lqvin95rcqyq4tq/AAAbrhKHy-ZUDA9F47LUKFj-a?dl=0&preview=proj8_DataStreamSync.mp4)
+
+### Project: MLQC
+
+Applying machine learning techniques to QC timeseries data, and compare against established algorithmic approaches (e.g. QARTOD).
+
+**Github Page**: [https://github.com/oceanhackweek/ohw19-project-mlqc-for-timeseries](https://github.com/oceanhackweek/ohw19-project-mlqc-for-timeseries)\
+**Presentation**: [video](https://www.dropbox.com/sh/lqvin95rcqyq4tq/AAAbrhKHy-ZUDA9F47LUKFj-a?dl=0&preview=proj9_MLQC.mp4)
+
+### Project: Working with Chlorophyll Data from the Cloud
+
+Notebooks demonstrating how to work with chlorophyll data including how to remotely access chlorophyll data from OceanData.sci, how to read the data, and how to compute local gradients in the measured values.
+
+**Github Page**: [https://github.com/oceanhackweek/DataAccess/tree/master/Chlorophyll](https://github.com/oceanhackweek/DataAccess/tree/master/Chlorophyll)\
+**Presentation**: [video](https://www.dropbox.com/sh/lqvin95rcqyq4tq/AAAbrhKHy-ZUDA9F47LUKFj-a?dl=0&preview=proj10_CHLOROPHYLL.mp4)
 
-Interested in finding a specific feature in your depth profiles? Want to know where those features are clustered? Then TMIVP, built upon the ideas of the visionary non-conformist demigod Procrustes, is for you. TMIVP aims to match and quantify the difference between a template profile and user-submitted data, clearly highlighting features for quality matching scores and location of problematic or interesting attributes. More broadly, this pipeline could be used to analyze and compare many types of graphs and profiles, including but not limited to:
+### Project: Amazon Fires
 
-- Michaelis-Menten population curves to characterize population growth
-- Metabolomic and proteomic spectrographic peaks to understand analytical drift, matrix effects and other obscuring variations
-- Environmental time series data to identify outliers
+A learning tool used to show Amazon data including bushfires, daily surface temperature over 10 years, El Nino events, and signals in river discharge.
 
-**Github Page**: [https://github.com/oceanhackweek/ohw19-projects-TMIVP](https://github.com/oceanhackweek/ohw19-projects-TMIVP)
-**Presentation**: [video](https://youtube.com)
+**Presentation**: [video](https://www.dropbox.com/sh/lqvin95rcqyq4tq/AAAbrhKHy-ZUDA9F47LUKFj-a?dl=0&preview=proj11_FIRES.mp4)