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Environmental Change Data Sets for Machine Learning

Open Battle


4:15 pm
December 27, 2020


Fresh Meat

Posts: 4


Information is a focal bit of the environmental change banter. With the environmental change datasets on this rundown, numerous information researchers have made representations and models to gauge and track the adjustment in surface temperatures, ocean ice levels, and then some. A considerable lot of these datasets have been disclosed to permit individuals to contribute and add significant knowledge into the manner in which the atmosphere is changing and its causes.

We trust this assortment furnishes you with a bouncing off highlight utilize your abilities to add to one of the greatest and most significant difficulties within recent memory.

Worldwide Climate Change Datasets

1.Berkeley Earth Surface Temperature Data – From the Berkeley Earth Data page, this dataset in made up or temperature chronicles from the Earth’s surface.

The information goes from November first, 1743 to December first, 2015. The dataset is isolated into a few documents including:






2.Global Climate Change Data – This dataset incorporates data from the Climate Change Knowledge Portal and World Development markers. It covers different themes, for example, ozone harming substance outflows, energy utilization, and then some. The absolute time span of the information covers 1990 – 2011.

3.International Greenhouse Gas Emissions – Created by the United Nations, this Kaggle dataset contains Greenhouse Gas Inventory Data from 1990 to 2014. The official UN site has refreshed the dataset up to 2017. It incorporates emanation levels by nation and district for the accompanying gases:

carbon dioxide (CO2)

methane (CH4)

nitrous oxide (N2O)

hydrofluorocarbons (HFCs)

perfluorocarbons (PFCs)

vague blend of HFCs and PFCs

sulfur hexafluoride (SF6)

nitrogen trifluoride (NF3)

4.Daily Sea Ice Extent Data – From The National Snow and Ice Data Center, this environmental change dataset has data on the Earth’s cryosphere, and incorporates ice sheet, ice, day off frozen ground information. The dataset has seven sections: year, month, day, degree, missing, source, and side of the equator. Degree alludes to the region of the sea that incorporates bits of ocean ice.

5.Climate Change Adaptation of Coffee Production – From the Harvard Dataverse, this dataset was established to decide the effect of environmental change on espresso creation quality in Nicaragua. The dataset is partitioned into six Geotiff Raster records.