Reading and Writing Cubes

Date created: June 10, 2022
Author: P. Alexander Burnham

Summary Once a cube has been adequately cleaned and analysed, it may be written out as a .nc4 file. These files, and any .nc4 file written to disk by spacetime can then be loaded back onto any machine with a spacetime installation. This will recall the cube object as it was right before it was written out. This is a useful tool for passing datasets between collaborates and/or other machines. A user can pass a cube to another person to take over or you can just pick up where you left off.

Create a cube

Let’s start by creating a cube as we have done previously

# read files and load data
data = ["demoData/Carya_ovata_sim_disc_10km.tif", "demoData/Carya_ovata_sim_disc_1km.tif"]
ds = read_data(data)

We will rescale and trim the data sets

# scale data
scaledData = raster_align(ds)
trimmedData = raster_trim(scaledData)

Finally, we will make a cube Object. Each file will be assigned to a variable (10km and 1km).

# set up time vec for 101 years
yearObj = cube_time(start="2000-12-31", length=101, scale = "month")

# make cube
cube = make_cube(data = trimmedData, fileName = "monthCube.nc4", organizeFiles = "filestovar", organizeBands="bandstotime", timeObj = yearObj, varNames = ["10km", "1km"])

Subset the Cube

Let’s create new cube that only contains time slices between 2000-12-31 and 205-12-31.

# use cube smahser to multiply cube by 5
selectedTime = select_time(cube=cube, range=["2000-12-31", "2005-12-31"])

Let’s write this cube back out. We use the same function make_cube() to write out a new cube as you would to compile a cube from a file object. The function recognizes which case is being used automatically.

# write out the cube
subCube = make_cube(data = selectedTime, fileName = "subCube.nc4")

# lets look at the dataset
subCube.get_data_array()

<xarray.DataArray (variables: 2, lat: 149, lon: 297, time: 61)>
array([[[[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
           0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
         [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
           0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
         ...,
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]],

        [[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
           0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
         [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
           0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
...
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]],

        [[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [ 8.1205005e+02,  8.1205005e+02,  1.2280000e+03, ...,
           1.6400000e+03,  1.6000000e+03,  1.5820000e+03],
         [ 2.0893887e+02,  2.0893887e+02,  3.6000000e+02, ...,
           1.4490000e+03,  1.4210000e+03,  1.4390000e+03],
         ...,
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]]]],
      dtype=float32)
Coordinates:
  * variables  (variables) <U4 '10km' '1km'
  * lon        (lon) float32 -83.75 -83.67 -83.58 -83.5 ... -59.25 -59.17 -59.08
  * lat        (lat) float32 49.0 48.92 48.83 48.75 ... 36.92 36.83 36.75 36.67
  * time       (time) datetime64[ns] 2000-12-31 2001-01-31 ... 2005-12-31

xarray.DataArray

• variables: 2
• lat: 149
• lon: 297
• time: 61

• -3.4e+38 -3.4e+38 -3.4e+38 -3.4e+38 ... -3.4e+38 -3.4e+38 -3.4e+38

  array([[[[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
           [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
           ...,
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]],
  
          [[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
           [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
  ...
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]],
  
          [[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [ 8.1205005e+02,  8.1205005e+02,  1.2280000e+03, ...,
             1.6400000e+03,  1.6000000e+03,  1.5820000e+03],
           [ 2.0893887e+02,  2.0893887e+02,  3.6000000e+02, ...,
             1.4490000e+03,  1.4210000e+03,  1.4390000e+03],
           ...,
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]]]],
        dtype=float32)

• Coordinates: (4)
  • variables
    (variables)
    <U4
    '10km' '1km'

    array(['10km', '1km'], dtype='<U4')

  • lon
    (lon)
    float32
    -83.75 -83.67 ... -59.17 -59.08

    array([-83.75    , -83.666664, -83.583336, ..., -59.25    , -59.166668,
           -59.083332], dtype=float32)

  • lat
    (lat)
    float32
    49.0 48.92 48.83 ... 36.75 36.67

    array([49.      , 48.916668, 48.833332, 48.75    , 48.666668, 48.583332,
           48.5     , 48.416668, 48.333332, 48.25    , 48.166668, 48.083332,
           48.      , 47.916668, 47.833332, 47.75    , 47.666668, 47.583332,
           47.5     , 47.416668, 47.333332, 47.25    , 47.166668, 47.083332,
           47.      , 46.916668, 46.833332, 46.75    , 46.666668, 46.583332,
           46.5     , 46.416668, 46.333332, 46.25    , 46.166668, 46.083332,
           46.      , 45.916668, 45.833332, 45.75    , 45.666668, 45.583332,
           45.5     , 45.416668, 45.333332, 45.25    , 45.166668, 45.083332,
           45.      , 44.916668, 44.833332, 44.75    , 44.666668, 44.583332,
           44.5     , 44.416668, 44.333332, 44.25    , 44.166668, 44.083332,
           44.      , 43.916668, 43.833332, 43.75    , 43.666668, 43.583332,
           43.5     , 43.416668, 43.333332, 43.25    , 43.166668, 43.083332,
           43.      , 42.916668, 42.833332, 42.75    , 42.666668, 42.583332,
           42.5     , 42.416668, 42.333332, 42.25    , 42.166668, 42.083332,
           42.      , 41.916668, 41.833332, 41.75    , 41.666668, 41.583332,
           41.5     , 41.416668, 41.333332, 41.25    , 41.166668, 41.083332,
           41.      , 40.916668, 40.833332, 40.75    , 40.666668, 40.583332,
           40.5     , 40.416668, 40.333332, 40.25    , 40.166668, 40.083332,
           40.      , 39.916668, 39.833332, 39.75    , 39.666668, 39.583332,
           39.5     , 39.416668, 39.333332, 39.25    , 39.166668, 39.083332,
           39.      , 38.916668, 38.833332, 38.75    , 38.666668, 38.583332,
           38.5     , 38.416668, 38.333332, 38.25    , 38.166668, 38.083332,
           38.      , 37.916668, 37.833332, 37.75    , 37.666668, 37.583332,
           37.5     , 37.416668, 37.333332, 37.25    , 37.166668, 37.083332,
           37.      , 36.916668, 36.833332, 36.75    , 36.666668], dtype=float32)

  • time
    (time)
    datetime64[ns]
    2000-12-31 ... 2005-12-31

    array(['2000-12-31T00:00:00.000000000', '2001-01-31T00:00:00.000000000',
           '2001-02-28T00:00:00.000000000', '2001-03-31T00:00:00.000000000',
           '2001-04-30T00:00:00.000000000', '2001-05-31T00:00:00.000000000',
           '2001-06-30T00:00:00.000000000', '2001-07-31T00:00:00.000000000',
           '2001-08-31T00:00:00.000000000', '2001-09-30T00:00:00.000000000',
           '2001-10-31T00:00:00.000000000', '2001-11-30T00:00:00.000000000',
           '2001-12-31T00:00:00.000000000', '2002-01-31T00:00:00.000000000',
           '2002-02-28T00:00:00.000000000', '2002-03-31T00:00:00.000000000',
           '2002-04-30T00:00:00.000000000', '2002-05-31T00:00:00.000000000',
           '2002-06-30T00:00:00.000000000', '2002-07-31T00:00:00.000000000',
           '2002-08-31T00:00:00.000000000', '2002-09-30T00:00:00.000000000',
           '2002-10-31T00:00:00.000000000', '2002-11-30T00:00:00.000000000',
           '2002-12-31T00:00:00.000000000', '2003-01-31T00:00:00.000000000',
           '2003-02-28T00:00:00.000000000', '2003-03-31T00:00:00.000000000',
           '2003-04-30T00:00:00.000000000', '2003-05-31T00:00:00.000000000',
           '2003-06-30T00:00:00.000000000', '2003-07-31T00:00:00.000000000',
           '2003-08-31T00:00:00.000000000', '2003-09-30T00:00:00.000000000',
           '2003-10-31T00:00:00.000000000', '2003-11-30T00:00:00.000000000',
           '2003-12-31T00:00:00.000000000', '2004-01-31T00:00:00.000000000',
           '2004-02-29T00:00:00.000000000', '2004-03-31T00:00:00.000000000',
           '2004-04-30T00:00:00.000000000', '2004-05-31T00:00:00.000000000',
           '2004-06-30T00:00:00.000000000', '2004-07-31T00:00:00.000000000',
           '2004-08-31T00:00:00.000000000', '2004-09-30T00:00:00.000000000',
           '2004-10-31T00:00:00.000000000', '2004-11-30T00:00:00.000000000',
           '2004-12-31T00:00:00.000000000', '2005-01-31T00:00:00.000000000',
           '2005-02-28T00:00:00.000000000', '2005-03-31T00:00:00.000000000',
           '2005-04-30T00:00:00.000000000', '2005-05-31T00:00:00.000000000',
           '2005-06-30T00:00:00.000000000', '2005-07-31T00:00:00.000000000',
           '2005-08-31T00:00:00.000000000', '2005-09-30T00:00:00.000000000',
           '2005-10-31T00:00:00.000000000', '2005-11-30T00:00:00.000000000',
           '2005-12-31T00:00:00.000000000'], dtype='datetime64[ns]')

• Attributes: (0)

We can see that we now have 61 time points and our cube file named “subCube.nc4” is written to disk. We could now close our session with our progress saved. Lets reopen the cube using the load_cube() function.

# reload the cube
reloaded_subCube = load_cube(file="subCube.nc4")

# check to make sure the data look the same
reloaded_subCube.get_data_array()

<xarray.DataArray (variables: 2, lat: 149, lon: 297, time: 61)>
array([[[[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
           0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
         [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
           0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
         ...,
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]],

        [[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
           0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
         [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
           0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
...
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]],

        [[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [ 8.1205005e+02,  8.1205005e+02,  1.2280000e+03, ...,
           1.6400000e+03,  1.6000000e+03,  1.5820000e+03],
         [ 2.0893887e+02,  2.0893887e+02,  3.6000000e+02, ...,
           1.4490000e+03,  1.4210000e+03,  1.4390000e+03],
         ...,
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
         [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
          -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]]]],
      dtype=float32)
Coordinates:
  * variables  (variables) <U4 '10km' '1km'
  * lon        (lon) float32 -83.75 -83.67 -83.58 -83.5 ... -59.25 -59.17 -59.08
  * lat        (lat) float32 49.0 48.92 48.83 48.75 ... 36.92 36.83 36.75 36.67
  * time       (time) datetime64[ns] 2000-12-31 2001-01-31 ... 2005-12-31

xarray.DataArray

• variables: 2
• lat: 149
• lon: 297
• time: 61

• -3.4e+38 -3.4e+38 -3.4e+38 -3.4e+38 ... -3.4e+38 -3.4e+38 -3.4e+38

  array([[[[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
           [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
           ...,
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]],
  
          [[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
           [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
  ...
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]],
  
          [[-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [ 8.1205005e+02,  8.1205005e+02,  1.2280000e+03, ...,
             1.6400000e+03,  1.6000000e+03,  1.5820000e+03],
           [ 2.0893887e+02,  2.0893887e+02,  3.6000000e+02, ...,
             1.4490000e+03,  1.4210000e+03,  1.4390000e+03],
           ...,
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38],
           [-3.4000000e+38, -3.4000000e+38, -3.4000000e+38, ...,
            -3.4000000e+38, -3.4000000e+38, -3.4000000e+38]]]],
        dtype=float32)

• Coordinates: (4)
  • variables
    (variables)
    <U4
    '10km' '1km'

    array(['10km', '1km'], dtype='<U4')

  • lon
    (lon)
    float32
    -83.75 -83.67 ... -59.17 -59.08

    array([-83.75    , -83.666664, -83.583336, ..., -59.25    , -59.166668,
           -59.083332], dtype=float32)

  • lat
    (lat)
    float32
    49.0 48.92 48.83 ... 36.75 36.67

    array([49.      , 48.916668, 48.833332, 48.75    , 48.666668, 48.583332,
           48.5     , 48.416668, 48.333332, 48.25    , 48.166668, 48.083332,
           48.      , 47.916668, 47.833332, 47.75    , 47.666668, 47.583332,
           47.5     , 47.416668, 47.333332, 47.25    , 47.166668, 47.083332,
           47.      , 46.916668, 46.833332, 46.75    , 46.666668, 46.583332,
           46.5     , 46.416668, 46.333332, 46.25    , 46.166668, 46.083332,
           46.      , 45.916668, 45.833332, 45.75    , 45.666668, 45.583332,
           45.5     , 45.416668, 45.333332, 45.25    , 45.166668, 45.083332,
           45.      , 44.916668, 44.833332, 44.75    , 44.666668, 44.583332,
           44.5     , 44.416668, 44.333332, 44.25    , 44.166668, 44.083332,
           44.      , 43.916668, 43.833332, 43.75    , 43.666668, 43.583332,
           43.5     , 43.416668, 43.333332, 43.25    , 43.166668, 43.083332,
           43.      , 42.916668, 42.833332, 42.75    , 42.666668, 42.583332,
           42.5     , 42.416668, 42.333332, 42.25    , 42.166668, 42.083332,
           42.      , 41.916668, 41.833332, 41.75    , 41.666668, 41.583332,
           41.5     , 41.416668, 41.333332, 41.25    , 41.166668, 41.083332,
           41.      , 40.916668, 40.833332, 40.75    , 40.666668, 40.583332,
           40.5     , 40.416668, 40.333332, 40.25    , 40.166668, 40.083332,
           40.      , 39.916668, 39.833332, 39.75    , 39.666668, 39.583332,
           39.5     , 39.416668, 39.333332, 39.25    , 39.166668, 39.083332,
           39.      , 38.916668, 38.833332, 38.75    , 38.666668, 38.583332,
           38.5     , 38.416668, 38.333332, 38.25    , 38.166668, 38.083332,
           38.      , 37.916668, 37.833332, 37.75    , 37.666668, 37.583332,
           37.5     , 37.416668, 37.333332, 37.25    , 37.166668, 37.083332,
           37.      , 36.916668, 36.833332, 36.75    , 36.666668], dtype=float32)

  • time
    (time)
    datetime64[ns]
    2000-12-31 ... 2005-12-31

    array(['2000-12-31T00:00:00.000000000', '2001-01-31T00:00:00.000000000',
           '2001-02-28T00:00:00.000000000', '2001-03-31T00:00:00.000000000',
           '2001-04-30T00:00:00.000000000', '2001-05-31T00:00:00.000000000',
           '2001-06-30T00:00:00.000000000', '2001-07-31T00:00:00.000000000',
           '2001-08-31T00:00:00.000000000', '2001-09-30T00:00:00.000000000',
           '2001-10-31T00:00:00.000000000', '2001-11-30T00:00:00.000000000',
           '2001-12-31T00:00:00.000000000', '2002-01-31T00:00:00.000000000',
           '2002-02-28T00:00:00.000000000', '2002-03-31T00:00:00.000000000',
           '2002-04-30T00:00:00.000000000', '2002-05-31T00:00:00.000000000',
           '2002-06-30T00:00:00.000000000', '2002-07-31T00:00:00.000000000',
           '2002-08-31T00:00:00.000000000', '2002-09-30T00:00:00.000000000',
           '2002-10-31T00:00:00.000000000', '2002-11-30T00:00:00.000000000',
           '2002-12-31T00:00:00.000000000', '2003-01-31T00:00:00.000000000',
           '2003-02-28T00:00:00.000000000', '2003-03-31T00:00:00.000000000',
           '2003-04-30T00:00:00.000000000', '2003-05-31T00:00:00.000000000',
           '2003-06-30T00:00:00.000000000', '2003-07-31T00:00:00.000000000',
           '2003-08-31T00:00:00.000000000', '2003-09-30T00:00:00.000000000',
           '2003-10-31T00:00:00.000000000', '2003-11-30T00:00:00.000000000',
           '2003-12-31T00:00:00.000000000', '2004-01-31T00:00:00.000000000',
           '2004-02-29T00:00:00.000000000', '2004-03-31T00:00:00.000000000',
           '2004-04-30T00:00:00.000000000', '2004-05-31T00:00:00.000000000',
           '2004-06-30T00:00:00.000000000', '2004-07-31T00:00:00.000000000',
           '2004-08-31T00:00:00.000000000', '2004-09-30T00:00:00.000000000',
           '2004-10-31T00:00:00.000000000', '2004-11-30T00:00:00.000000000',
           '2004-12-31T00:00:00.000000000', '2005-01-31T00:00:00.000000000',
           '2005-02-28T00:00:00.000000000', '2005-03-31T00:00:00.000000000',
           '2005-04-30T00:00:00.000000000', '2005-05-31T00:00:00.000000000',
           '2005-06-30T00:00:00.000000000', '2005-07-31T00:00:00.000000000',
           '2005-08-31T00:00:00.000000000', '2005-09-30T00:00:00.000000000',
           '2005-10-31T00:00:00.000000000', '2005-11-30T00:00:00.000000000',
           '2005-12-31T00:00:00.000000000'], dtype='datetime64[ns]')

• Attributes: (0)

The reloaded data looks just like the original dataset. This file could be passed to another user and they would be able to access the new cube using spacetime on their own machine.