climate-change-data
datascience
| climate-change-data | datascience | |
|---|---|---|
| 2 | 4 | |
| 537 | 4,104 | |
| - | - | |
| 0.6 | 8.3 | |
| 5 months ago | about 1 month ago | |
| - | Creative Commons Zero v1.0 Universal |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
climate-change-data
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5 Ways to Celebrate Earth Day as a Developer 🌎🌏🌍
A couple of sources for climate-related open data is OpenClimateData.net which is a curated list of sources for open emissions and climate agreements data that are made public by various NGOs and the UN. Another great source for open data is this GitHub repo by Dr. Kasia Kulma, as per her bio a data scientist focused on using data for good. The repo is extensive and not only does it offer open data, but many APIs and open source projects as well. Check out the repo’s README to see the long list of links.
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Honey bees at risk for colony collapse from longer, warmer fall seasons
Are you denying human caused climate change because you don't think there's enough data to support it? You believe the data supporting climate change theories only dates from 1979? Well, great news, I have lots of reading that will quickly get you up to date and help you understand that climate change isn't demonstrated only through satellite models!
In the IPCC Sixth Assessment Report introduction, you can see the various methodologies used to demonstrate the effects of human-caused climate change: https://www.ipcc.ch/report/ar6/wg1/chapter/chapter-1/#1.3
For example, we've been taking thermometer and barometer observations at Earth's surface since the 1600s. By the 1800s this was widely distributed through naval weather logs. For atmospheric readings, we've been getting those since the 40's, not 70s, because that's when we invented weather balloons :) but we have even further back information, through the field of Paleoclimate, where we do things like measuring C02 concentration of bubbles in polar ice sheets, dating back as much as 800,000 years ago. We can also use tree rings (hundreds of years, or thousands if fossilized), "corals, stalactites and stalagmites, dust sediments, fossil pollen, peat, lake sediment, and marine sediment" to measure climate change over millenia, no need for satellites!
Want to play with all the data on your own? https://github.com/KKulma/climate-change-data Her's a curated list of all sorts of data you can play with. https://openclimatedata.net/ Here's some jupyter notebooks!
What data is missing that you think it's "not enough?"
datascience
- Datasciene Libraries for Python
- Datascience Libraries for Python
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Good resources for learning ML with time series in Python? Some links I've found, but looking for canonical resources.
This GitHub repo maintains a good list of resources. Check out the "Time Series" section. https://github.com/r0f1/datascience
- Opinionated List of Data Science Libraries for Python
What are some alternatives?
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
mlreef - The collaboration workspace for Machine Learning
darts - A python library for user-friendly forecasting and anomaly detection on time series.
awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security
kaggle-solutions - 🏅 Collection of Kaggle Solutions and Ideas 🏅
primeclue - AI & Data Mining
game-datasets - :video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games