code: def set_dataset(self):
          '''
          Retrieves the designated dataset, creates NCSS object, and
          creates a NCSS query object.
          '''
  
          keys = list(self.model.datasets.keys())
          labels = [item.split()[0].lower() for item in keys]
          if self.set_type == 'best':
              self.dataset = self.model.datasets[keys[labels.index('best')]]
          elif self.set_type == 'latest':
              self.dataset = self.model.datasets[keys[labels.index('latest')]]
          elif self.set_type == 'full':
              self.dataset = self.model.datasets[keys[labels.index('full')]]
  
          self.access_url = self.dataset.access_urls[self.access_url_key]
          self.ncss = NCSS(self.access_url)
          self.query = self.ncss.query(f set_dataset(self):
          '''
          Retrieves the designated dataset, creates NCSS object, and
          creates a NCSS query object.
          '''
  
          keys = list(self.model.datasets.keys())
          labels = [item.split()[0].lower() for item in keys]
          if self.set_type == 'best':
              self.dataset = self.model.datasets[keys[labels.index('best')]]
          elif self.set_type == 'latest':
              self.dataset = self.model.datasets[keys[labels.index('latest')]]
          elif self.set_type == 'full':
              self.dataset = self.model.datasets[keys[labels.index('full')]]
  
          self.access_url = self.dataset.access_urls[self.access_url_key]
          self.ncss = NCSS(self.access_url)
          self.query = self.ncss.query()
docs: Retrieves the designated dataset, creates NCSS object, and
          creates a NCSS query object.