docs: def _get_dfs(csvs):
      """
      LiPD Version 1.2
      Create a data frame for each table for the given key
      :param dict csvs: LiPD metadata dictionary
      :return dict: paleo data data frames
      """
      logger_dataframes.info("enter get_lipd_cols")
      # placeholders for the incoming data frames
      dfs = {"chronData": {}, "paleoData": {}}
      try:
          for filename, cols in csvs.items():
              tmp = {}
              for var, data in cols.items():
                  tmp[var] = pd.Series(data["values"])
              if "chron" in filename.lower():
                  dfs["chronData"][filename] = pd.DataFrame(tmp)
              elif "paleo" in filename.lower():
                  dfs["paleoData"][filename] = pd.DataFrame(tmp)
      except KeyError:
          logger_dataframes.warn("get_lipd_cols: AttributeError: expected type dict, given type {}".format(type(csvs)))
  
      logger_dataframes.info("exit get_lipd_cols")
      return dfs