docs: def get_dataset(ds,dataDir,removecompressed=1):
  
      """
      A function which attempts downloads and uncompresses the latest version of an openfmri.fmri dataset.
  
      PARAMETERS
  
      :ds: dataset number of the openfMRI.org dataset (integer) without zero padding. I.e. can just be 212 (doesn't need to be 000212).
      :dataDir: where to save the data. Will get saved in 'dataDir/openfmri/ds000XXX'
      :removecompressed: delete compressed data once unzipped. 1=yes. 0=no.
  
      NOTES
      There is no "default" way to download data from openfMRI so this solution is a little hacky. It may not be a universal functoin and it is best to verify that all necessary data has been downloaded.
  
      """
      #Convert input ds to string incase it is put in via function
      ds = str(ds)
      #The final character of the dataset can be a letter
      lettersuffix=''
      if re.search('[A-Za-z]$',ds):
          lettersuffix = ds[-1]
          ds = ds[:-1]
      openfMRI_dataset_string = '{0:06d}'.format(int(ds)) + lettersuffix
      #Some datasets include
      try:
          os.mkdir(dataDir)
      except:
          pass
  
      datasetDir = os.path.join(dataDir, 'openfmri/')
  
      try:
          os.mkdir(datasetDir)
      except:
          pass
  
      openfMRI_url = 'https://openfmri.org/dataset/ds' + openfMRI_dataset_string + '/'
      r = urlopen(openfMRI_url).read()
      soup = BeautifulSoup(r,'lxml')
  
      #Isolate only the links from the latest revision. The text "data associated with revision". If the website changes its static text, this  needs to be changed
      unformatted_soup=soup.prettify()
      firstOccurance=unformatted_soup.find('Data Associated with Revision')
      secondOccurancce=unformatted_soup[firstOccurance+1:].find('Data Associated with Revision')
      #If there is only one "Data Associated..." (i.e. only one revision) this returns -1. This should be kept. Otherwise add on the firstOccurance index
      if secondOccurancce != -1:
          secondOccurancce+=firstOccurance
      #The latest links are confined within this part of the text
      soup_latestversion = BeautifulSoup(unformatted_soup[firstOccurance:secondOccurancce],'lxml')
  
      # Loop through all links and dowload files
      filelist = []
      for a in soup_latestversion.find_all('a', href=True):
          #This assumes that all files include ds....
          if re.search('ds[A-Za-z_0-9.-]*$',a['href']):
              filename_start=re.search('ds[A-Za-z_0-9.-]*$',a['href']).start()
              filelist.append(a['href'][filename_start:])
              print('Downloading: ' + a['href'][filename_start:])
              urlretrieve(a['href'],datasetDir + a['href'][filename_start:])
      print('--- Download complete ---')
      for f in filelist:
          untar_or_unzip(datasetDir,f)
      print('--- Uncompressing complete ---')
      if removecompressed==1:
          for f in filelist:
              print('Clean up. Deleting: ' + f)
              os.remove(datasetDir+f)
          print('--- Clean up complete ---')
      print('NOTE: It is best to verify manually that all the correct data has been downloaded and uncompressed correctly. \n If data is used in any publication, see openfmri.org about how to appropriately cite/credit the data.')
      print('--- Script complete ---')