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I'm currently taking a first step into Data Science, and studying a specific computational method, I'm a math student, but I'm looking for reliable data sources, and if related to biology (e.g public health numbers) or information spread (this one i guess is harder to evaluate, but maybe like spreading of news or sharing of information on internet) it would be very appreciated.

My point here is where to look up for this kinda of data, in a reliable manner, and preferably for free.

Any suggestions are welcome!


As suggested:

Data: Mainly data from numbers of case of disease in a region over time, or sharing of fake news (nothing correlated i know but not sure yet which path to pursue)

Context: Trying to correlate data via some kind of regression, so for modeling some specific situations, method is developed but looking to try it on real data, and it would be better if a large amount data is available.

Region: Preferably in Brazil, but at this moment any region should be enough.

License: Very situational whether willing to pay for it or not, if for free it is easier to start a work.

Format: Will problably use it on Mathlab or Phyton, so right now just raw data in txt or any format like this should do it

Authority: Not really open to dubious data

Non Answers: I did look for it on governamental sites from Brazil, it has some data but wanting other sources also (still acepting hints on websites from Brazil, might not have looked for all possible sources yet).

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I think this is a good candidate for the UCI Machine Learning Repository, which is often used here as a resource: link to threads.

With the "View All Data Sets" view you can filter and find specific, prepared and cleaned data sets. For learning this is quite beneficial, because there will surely be others developing with these data sets. Each data set is labeled with what kind of analysis is suggested, for example "_regression / numerical / multivariate _".

Additionally, by exploring with the portal and trying various filters, you'll get familiar with the terminology of data science and machine learning.


Example usage:

Click on "Regression" on the left menu bar, and you get this view: http://archive.ics.uci.edu/ml/datasets.php?format=&task=reg&att=&area=&numAtt=&numIns=&type=&sort=nameUp&view=table

Then click on "Numerical": http://archive.ics.uci.edu/ml/datasets.php?format=&task=reg&att=num&area=&numAtt=&numIns=&type=&sort=nameUp&view=table

Keep playing with the filters until you find a good one that looks like fun to explore.

For example, here's the data set "Fertility"

100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits

which has these technical properties:

enter image description here


You can also search the repository with custom search terms, like this search for Brazil.

  • Thanks a Lot, Will check on It later and comment – Daniel Moraes May 6 at 16:47
  • Really good site, got data on varied topics and in a good amount, just trying to learn how to work with it now, thanks again! – Daniel Moraes May 7 at 10:02
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For Biology, depends the kind of biology. For Ecology, probably you'd better check the Scientific publications from a journal, and check the associated data.

Databases in biology are pretty much domain(-ish) specific. Formats for information are also quiet variated, mostly in ASCII files.

  • Is the kind of Health related, i looked at those a bit. Also checked Data Dryad, is it data supplied by authors? – Daniel Moraes May 5 at 19:50
  • It depends on the journal, topic, domain and size of data. "big" data like sequencing may not be supplied in the paper. Other kind of data may be jointed as supplementary data or just be given a link to a git or dryad. Else once you read the paper you can ask the scientist to supply you with the data. Since experiments have heterogeneous questions, you'll have to cherry pick the papers which may contain the data that interests you – 3nrique0 May 6 at 9:56
  • I was looking on It and the data was not large indeed, that's why was asking – Daniel Moraes May 6 at 16:47
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    Also thanks @3nrique0 checked the other answer as correct because it really had what i needed but yours was also helpfull – Daniel Moraes May 7 at 10:03
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Glad to hear that you are interested in using data for your science project. There are plenty of public resources that you may utilize including GitHub, Kaggle, and Google Open Data.

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