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2018-data-workshops

2018 OOI Data Workshops

30-day-map-challenge

Maps made as part of the #30DayMapChallenge - mostly in python but also use QGIS and other tools

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

30daymapchallenge2019_c-dric-scherer

🌍 My contributions to the #30DayMapChallenge 2019

arcgis_tutorials

ArcGIS Tutorials

awesome-coral-research

:ocean: A curated list of awesome coral research tools and resources.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-gee

A curated list of Google Earth Engine resources

awesome-geospatial

Long list of geospatial tools and resources

awicm-cmip6-eke_ocean_modelling

Jupyter notebooks to calculate and analyze eddy kinetic energy in AWI-CM-1-1-MR's CMIP6 simulations.

bangladesh_2022_census_gis

Biggest Census data of Bangladesh

boar

Belkin O'Reilly Algorithm

canny_edge_detector

A case study: edge detection technique using canny edge algorithm

cannyedgedetection-from-scratch-python

This is an implementation of Canny Edge Detection Algorithm in Python without using any library.

chl-complexity

coastal-upwelling

Building a model to identify periods of upwelling off the Oregon coast using environmental data collected by the OOI. Capstone project for data science immersive.

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

crisp-topographical-map-with-r

In this repo, I'll show you how to programatically access satellite imagery from several APIs to create such a map of Italy. We will use a single interface to query the data without even downloading raster data to your local drive 😲. For a tutorial please visit https://milospopovic.net/crisp-topography-map-with-r/

data-lab-workshops

Notebooks for the OOI Ocean Data Labs Workshops

dataretrieval

This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services. See: http://usgs-r.github.io/dataRetrieval/

dht11_python

Pure Python library for reading DHT11 sensor on Raspberry Pi

dineof

Data Interpolating Empirical Orthogonal Functions

earth-analytics-python-env

A conda environment and docker container to support using earth and environmental data in Python.

faostat_temperature

The data provided Food Agricuture Organization (FAO). I analysed this data using R. To explore more check every file

forest-area

Tutorial for creating a map using Forest Coverage data

geoblender

Tutorials for making 3D-looking maps with Blender and QGIS

github_and_rstudio

global_mhw_trends

Code to support publication: Oliver, E. C. J. et al., Longer and more frequent marine heatwaves over the past century, Nature Communications

gw-conditions

Similar to gage-conditions-gif but for groundwater!

intro-gds