opendata
climate-change-data
opendata | climate-change-data | |
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1 | 2 | |
192 | 533 | |
1.1% | - | |
0.0 | 0.6 | |
9 months ago | 5 months ago | |
MIT License | - |
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.
opendata
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Is there a way to get a hold of the side/birds eye view of a football match, the whole replay ideally?
here is a link to tracking data for 9 matches from different leagues. skillcorner open data it's in a JSON file, so you need minor programming skills to work with it.
climate-change-data
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5 Ways to Celebrate Earth Day as a Developer πππ
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 repoβs 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?"
What are some alternatives?
open-data - Free football data from StatsBomb
football_analytics - πβ½ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
datascience - Curated list of Python resources for data science.
ds-cheatsheets - List of Data Science Cheatsheets to rule the world