docs: def __create_paleo_col(l, col_count):
          """
          Receive split list from separate_data_vars, and turn it into a dictionary for that column
          :param list l:
          :param int col_count:
          :return dict:
          """
          # Format: what, material, error, units, seasonality, archive, detail, method,
          # C or N for Character or Numeric data, direction of relation to climate (positive or negative)
          d = OrderedDict()
          d['number'] = col_count
          for idx, var_name in enumerate(NOAA_KEYS_BY_SECTION["Variables"]):
              try:
                  value = l[idx]
                  # These two cases are nested in the column, so treat them special
                  if var_name == "seasonality":
                      d["climateInterpretation"] = {var_name: value}
                  elif var_name == "uncertainty":
                      d["calibration"] = {var_name: value}
                  # All other cases are root items in the column, so add normally
                  else:
                      d[var_name] = value
              except IndexError as e:
                  logger_noaa_lpd.debug("create_var_col: IndexError: var: {}, {}".format(var_name, e))
          return d