code: def fetch_coords_power_2011(legacy_format=True):
      """Download and load the Power et al. brain atlas composed of 264 ROIs.
  
      See :footcite:t:`Power2011`.
  
      Parameters
      ----------
      %(legacy_format)s
  
      Returns
      -------
      data : :class:`sklearn.utils.Bunch`
          Dictionary-like object, contains:
  
              - 'rois': :class:`numpy.recarray`, rec array containing the
                coordinates of 264 ROIs in :term:`MNI` space.
                If ``legacy_format`` is set to ``False``, this is a
                :class:`pandas.DataFrame`.
              - 'description': :obj:`str`, description of the atlas.
  
  
      References
      ----------
      .. footbibliography::
  
      """
      dataset_name = "power_2011"
      fdescr = get_dataset_descr(dataset_name)
      package_directory = os.path.dirname(os.path.abspath(__file__))
      csv = os.path.join(package_directory, "data", "power_2011.csv")
      params = dict(rois=pd.read_csv(csv), description=fdescr)
      params["rois"] = params["rois"].rename(
          columns={c: c.lower() for c in params["rois"].columns}
      )
      if legacy_format:
          warnings.warn(_LEGACY_FORMAT_MSG, DeprecationWarning)
          params["rois"] = params["rois"].to_records(index=False)
      return Bunch(**params)
  
imports: import json
  import os
  import re
  import shutil
  import warnings
  import xml.etree.ElementTree
  from pathlib import Path
  from tempfile import mkdtemp
  import nibabel
  import numpy
  import pandas
  from sklearn.utils import Bunch
  from .._utils import check_niimg, fill_doc
  from ..image import get_data, new_img_like, reorder_img
  from ._utils import fetch_files, get_dataset_descr, get_dataset_dir
label_desc: Use image node_id 11 for calling a global function with example usage: fetch_coords_power_2011(legacy_format) and returns: Bunch