The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
files_found: int64
files_read: int64
total_records: int64
total_size_bytes: int64
coordinate_tolerance: double
global_bounds: struct<x_min: double, x_max: double, y_min: double, y_max: double>
  child 0, x_min: double
  child 1, x_max: double
  child 2, y_min: double
  child 3, y_max: double
validation_totals: struct<nonfinite_records: int64, unclosed_records: int64, nonrectangular_records: int64, nondefault_ (... 99 chars omitted)
  child 0, nonfinite_records: int64
  child 1, unclosed_records: int64
  child 2, nonrectangular_records: int64
  child 3, nondefault_vertex_order_records: int64
  child 4, nonstandard_size_records: int64
  child 5, outside_lonlat_bounds_records: int64
all_ids_sequential: bool
errors: list<item: null>
  child 0, item: null
files: list<item: struct<file: string, file_number: int64, size_bytes: int64, records: int64, id_dtype: str (... 473 chars omitted)
  child 0, item: struct<file: string, file_number: int64, size_bytes: int64, records: int64, id_dtype: string, pile_d (... 461 chars omitted)
      child 0, file: string
      child 1, file_number: int64
      child 2, size_bytes: int64
      child 3, records: int64
      child 4, id_dtype: string
      child 5, pile_dtype: string
      child 6, pile_shape: string
      child 7, x_min: double
      child 8, x_max: double
      child 9, y_min: double
      child 10, y_max: double
      child 11, width_min: double
      child 12, width_max: double
      child 13, height_min: double
      child 14, height_max: double
      child 15, nonfinite_records: int64
      child 16, unclosed_records: int64
      child 17, nonrectangular_records: int64
      child 18, nondefault_vertex_order_records: int64
      child 19, nonstandard_size_records: int64
      child 20, outside_lonlat_bounds_records: int64
      child 21, sequential_ids: bool
      child 22, first_id: string
      child 23, last_id: string
      child 24, datasets: string
      child 25, has_attributes: bool
to
{'file': Value('string'), 'IDname': Value('string'), 'pile': List(List(Value('float64')))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 791, in read_json
                  json_reader = JsonReader(
                      path_or_buf,
                  ...<16 lines>...
                      engine=engine,
                  )
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 905, in __init__
                  self.data = self._preprocess_data(data)
                              ~~~~~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 917, in _preprocess_data
                  data = data.read()
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
                  out = read(*args, **kwargs)
                File "<frozen codecs>", line 325, in decode
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 327, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              files_found: int64
              files_read: int64
              total_records: int64
              total_size_bytes: int64
              coordinate_tolerance: double
              global_bounds: struct<x_min: double, x_max: double, y_min: double, y_max: double>
                child 0, x_min: double
                child 1, x_max: double
                child 2, y_min: double
                child 3, y_max: double
              validation_totals: struct<nonfinite_records: int64, unclosed_records: int64, nonrectangular_records: int64, nondefault_ (... 99 chars omitted)
                child 0, nonfinite_records: int64
                child 1, unclosed_records: int64
                child 2, nonrectangular_records: int64
                child 3, nondefault_vertex_order_records: int64
                child 4, nonstandard_size_records: int64
                child 5, outside_lonlat_bounds_records: int64
              all_ids_sequential: bool
              errors: list<item: null>
                child 0, item: null
              files: list<item: struct<file: string, file_number: int64, size_bytes: int64, records: int64, id_dtype: str (... 473 chars omitted)
                child 0, item: struct<file: string, file_number: int64, size_bytes: int64, records: int64, id_dtype: string, pile_d (... 461 chars omitted)
                    child 0, file: string
                    child 1, file_number: int64
                    child 2, size_bytes: int64
                    child 3, records: int64
                    child 4, id_dtype: string
                    child 5, pile_dtype: string
                    child 6, pile_shape: string
                    child 7, x_min: double
                    child 8, x_max: double
                    child 9, y_min: double
                    child 10, y_max: double
                    child 11, width_min: double
                    child 12, width_max: double
                    child 13, height_min: double
                    child 14, height_max: double
                    child 15, nonfinite_records: int64
                    child 16, unclosed_records: int64
                    child 17, nonrectangular_records: int64
                    child 18, nondefault_vertex_order_records: int64
                    child 19, nonstandard_size_records: int64
                    child 20, outside_lonlat_bounds_records: int64
                    child 21, sequential_ids: bool
                    child 22, first_id: string
                    child 23, last_id: string
                    child 24, datasets: string
                    child 25, has_attributes: bool
              to
              {'file': Value('string'), 'IDname': Value('string'), 'pile': List(List(Value('float64')))}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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file
string
IDname
string
pile
list
1fishnet.h5
Area1_1
[ [ -180, -89.9999999999 ], [ -180, -89.95 ], [ -179.95, -89.95 ], [ -179.95, -89.9999999999 ], [ -180, -89.9999999999 ] ]
1fishnet.h5
Area1_2
[ [ -179.95, -89.9999999999 ], [ -179.95, -89.95 ], [ -179.9, -89.95 ], [ -179.9, -89.9999999999 ], [ -179.95, -89.9999999999 ] ]
1fishnet.h5
Area1_3
[ [ -179.9, -89.9999999999 ], [ -179.9, -89.95 ], [ -179.85, -89.95 ], [ -179.85, -89.9999999999 ], [ -179.9, -89.9999999999 ] ]
2fishnet.h5
Area2_1
[ [ -150, -89.9999999999 ], [ -150, -89.95 ], [ -149.95, -89.95 ], [ -149.95, -89.9999999999 ], [ -150, -89.9999999999 ] ]
2fishnet.h5
Area2_2
[ [ -149.95, -89.9999999999 ], [ -149.95, -89.95 ], [ -149.9, -89.95 ], [ -149.9, -89.9999999999 ], [ -149.95, -89.9999999999 ] ]
2fishnet.h5
Area2_3
[ [ -149.9, -89.9999999999 ], [ -149.9, -89.95 ], [ -149.85, -89.95 ], [ -149.85, -89.9999999999 ], [ -149.9, -89.9999999999 ] ]
3fishnet.h5
Area3_1
[ [ -120, -89.9999999999 ], [ -120, -89.95 ], [ -119.95, -89.95 ], [ -119.95, -89.9999999999 ], [ -120, -89.9999999999 ] ]
3fishnet.h5
Area3_2
[ [ -119.95, -89.9999999999 ], [ -119.95, -89.95 ], [ -119.9, -89.95 ], [ -119.9, -89.9999999999 ], [ -119.95, -89.9999999999 ] ]
3fishnet.h5
Area3_3
[ [ -119.9, -89.9999999999 ], [ -119.9, -89.95 ], [ -119.85, -89.95 ], [ -119.85, -89.9999999999 ], [ -119.9, -89.9999999999 ] ]
4fishnet.h5
Area4_1
[ [ -89.9999999999, -89.9999999999 ], [ -89.9999999999, -89.95 ], [ -89.95, -89.95 ], [ -89.95, -89.9999999999 ], [ -89.9999999999, -89.9999999999 ] ]
4fishnet.h5
Area4_2
[ [ -89.95, -89.9999999999 ], [ -89.95, -89.95 ], [ -89.9000000001, -89.95 ], [ -89.9000000001, -89.9999999999 ], [ -89.95, -89.9999999999 ] ]
4fishnet.h5
Area4_3
[ [ -89.9000000001, -89.9999999999 ], [ -89.9000000001, -89.95 ], [ -89.8500000002, -89.95 ], [ -89.8500000002, -89.9999999999 ], [ -89.9000000001, -89.9999999999 ] ]
5fishnet.h5
Area5_1
[ [ -59.9999999996, -89.9999999999 ], [ -59.9999999996, -89.95 ], [ -59.9499999997, -89.95 ], [ -59.9499999997, -89.9999999999 ], [ -59.9999999996, -89.9999999999 ] ]
5fishnet.h5
Area5_2
[ [ -59.9499999997, -89.9999999999 ], [ -59.9499999997, -89.95 ], [ -59.8999999998, -89.95 ], [ -59.8999999998, -89.9999999999 ], [ -59.9499999997, -89.9999999999 ] ]
5fishnet.h5
Area5_3
[ [ -59.8999999998, -89.9999999999 ], [ -59.8999999998, -89.95 ], [ -59.8499999999, -89.95 ], [ -59.8499999999, -89.9999999999 ], [ -59.8999999998, -89.9999999999 ] ]
10fishnet.h5
Area10_1
[ [ 90.0000000001, -89.9999999999 ], [ 90.0000000001, -89.95 ], [ 90.05, -89.95 ], [ 90.05, -89.9999999999 ], [ 90.0000000001, -89.9999999999 ] ]
10fishnet.h5
Area10_2
[ [ 90.05, -89.9999999999 ], [ 90.05, -89.95 ], [ 90.0999999999, -89.95 ], [ 90.0999999999, -89.9999999999 ], [ 90.05, -89.9999999999 ] ]
10fishnet.h5
Area10_3
[ [ 90.0999999999, -89.9999999999 ], [ 90.0999999999, -89.95 ], [ 90.1499999998, -89.95 ], [ 90.1499999998, -89.9999999999 ], [ 90.0999999999, -89.9999999999 ] ]
11fishnet.h5
Area11_1
[ [ 120, -89.9999999999 ], [ 120, -89.95 ], [ 120.05, -89.95 ], [ 120.05, -89.9999999999 ], [ 120, -89.9999999999 ] ]
11fishnet.h5
Area11_2
[ [ 120.05, -89.9999999999 ], [ 120.05, -89.95 ], [ 120.1, -89.95 ], [ 120.1, -89.9999999999 ], [ 120.05, -89.9999999999 ] ]
11fishnet.h5
Area11_3
[ [ 120.1, -89.9999999999 ], [ 120.1, -89.95 ], [ 120.15, -89.95 ], [ 120.15, -89.9999999999 ], [ 120.1, -89.9999999999 ] ]
12fishnet.h5
Area12_1
[ [ 150, -89.9999999999 ], [ 150, -89.95 ], [ 150.05, -89.95 ], [ 150.05, -89.9999999999 ], [ 150, -89.9999999999 ] ]
12fishnet.h5
Area12_2
[ [ 150.05, -89.9999999999 ], [ 150.05, -89.95 ], [ 150.1, -89.95 ], [ 150.1, -89.9999999999 ], [ 150.05, -89.9999999999 ] ]
12fishnet.h5
Area12_3
[ [ 150.1, -89.9999999999 ], [ 150.1, -89.95 ], [ 150.15, -89.95 ], [ 150.15, -89.9999999999 ], [ 150.1, -89.9999999999 ] ]
13fishnet.h5
Area13_1
[ [ -176.6, -44.1499999998 ], [ -176.6, -44.0999999999 ], [ -176.55, -44.0999999999 ], [ -176.55, -44.1499999998 ], [ -176.6, -44.1499999998 ] ]
13fishnet.h5
Area13_2
[ [ -176.55, -44.1499999998 ], [ -176.55, -44.0999999999 ], [ -176.5, -44.0999999999 ], [ -176.5, -44.1499999998 ], [ -176.55, -44.1499999998 ] ]
13fishnet.h5
Area13_3
[ [ -176.5, -44.1499999998 ], [ -176.5, -44.0999999999 ], [ -176.45, -44.0999999999 ], [ -176.45, -44.1499999998 ], [ -176.5, -44.1499999998 ] ]
16fishnet.h5
Area16_1
[ [ -68.1499999995, -55.75 ], [ -68.1499999995, -55.6999999992 ], [ -68.0999999996, -55.6999999992 ], [ -68.0999999996, -55.75 ], [ -68.1499999995, -55.75 ] ]
16fishnet.h5
Area16_2
[ [ -68.0999999996, -55.75 ], [ -68.0999999996, -55.6999999992 ], [ -68.0499999997, -55.6999999992 ], [ -68.0499999997, -55.75 ], [ -68.0999999996, -55.75 ] ]
16fishnet.h5
Area16_3
[ [ -68.0499999997, -55.75 ], [ -68.0499999997, -55.6999999992 ], [ -67.9999999998, -55.6999999992 ], [ -67.9999999998, -55.75 ], [ -68.0499999997, -55.75 ] ]
17fishnet.h5
Area17_1
[ [ -36.1499999996, -54.8999999999 ], [ -36.1499999996, -54.85 ], [ -36.0999999997, -54.85 ], [ -36.0999999997, -54.8999999999 ], [ -36.1499999996, -54.8999999999 ] ]
17fishnet.h5
Area17_2
[ [ -36.0999999997, -54.8999999999 ], [ -36.0999999997, -54.85 ], [ -36.0499999998, -54.85 ], [ -36.0499999998, -54.8999999999 ], [ -36.0999999997, -54.8999999999 ] ]
17fishnet.h5
Area17_3
[ [ -36.0499999998, -54.8999999999 ], [ -36.0499999998, -54.85 ], [ -35.9999999999, -54.85 ], [ -35.9999999999, -54.8999999999 ], [ -36.0499999998, -54.8999999999 ] ]
19fishnet.h5
Area19_1
[ [ 19.8999999999, -34.8499999995 ], [ 19.8999999999, -34.7999999996 ], [ 19.9499999998, -34.7999999996 ], [ 19.9499999998, -34.8499999995 ], [ 19.8999999999, -34.8499999995 ] ]
19fishnet.h5
Area19_2
[ [ 19.9499999998, -34.8499999995 ], [ 19.9499999998, -34.7999999996 ], [ 19.9999999997, -34.7999999996 ], [ 19.9999999997, -34.8499999995 ], [ 19.9499999998, -34.8499999995 ] ]
19fishnet.h5
Area19_3
[ [ 19.9999999997, -34.8499999995 ], [ 19.9999999997, -34.7999999996 ], [ 20.0500000005, -34.7999999996 ], [ 20.0500000005, -34.8499999995 ], [ 19.9999999997, -34.8499999995 ] ]
20fishnet.h5
Area20_1
[ [ 30.0000000004, -31.2999999994 ], [ 30.0000000004, -31.2499999995 ], [ 30.0500000003, -31.2499999995 ], [ 30.0500000003, -31.2999999994 ], [ 30.0000000004, -31.2999999994 ] ]
20fishnet.h5
Area20_2
[ [ 30.0000000004, -31.2499999995 ], [ 30.0000000004, -31.1999999996 ], [ 30.0500000003, -31.1999999996 ], [ 30.0500000003, -31.2499999995 ], [ 30.0000000004, -31.2499999995 ] ]
20fishnet.h5
Area20_3
[ [ 30.0500000003, -31.2499999995 ], [ 30.0500000003, -31.1999999996 ], [ 30.1000000002, -31.1999999996 ], [ 30.1000000002, -31.2499999995 ], [ 30.0500000003, -31.2499999995 ] ]
21fishnet.h5
Area21_1
[ [ 73.4, -53.1999999997 ], [ 73.4, -53.1499999998 ], [ 73.4499999999, -53.1499999998 ], [ 73.4499999999, -53.1999999997 ], [ 73.4, -53.1999999997 ] ]
21fishnet.h5
Area21_2
[ [ 73.4499999999, -53.1999999997 ], [ 73.4499999999, -53.1499999998 ], [ 73.4999999998, -53.1499999998 ], [ 73.4999999998, -53.1999999997 ], [ 73.4499999999, -53.1999999997 ] ]
21fishnet.h5
Area21_3
[ [ 73.4999999998, -53.1999999997 ], [ 73.4999999998, -53.1499999998 ], [ 73.5499999997, -53.1499999998 ], [ 73.5499999997, -53.1999999997 ], [ 73.4999999998, -53.1999999997 ] ]
22fishnet.h5
Area22_1
[ [ 117.5, -35.1499999998 ], [ 117.5, -35.0999999999 ], [ 117.55, -35.0999999999 ], [ 117.55, -35.1499999998 ], [ 117.5, -35.1499999998 ] ]
22fishnet.h5
Area22_2
[ [ 117.55, -35.1499999998 ], [ 117.55, -35.0999999999 ], [ 117.6, -35.0999999999 ], [ 117.6, -35.1499999998 ], [ 117.55, -35.1499999998 ] ]
22fishnet.h5
Area22_3
[ [ 117.6, -35.1499999998 ], [ 117.6, -35.0999999999 ], [ 117.65, -35.0999999999 ], [ 117.65, -35.1499999998 ], [ 117.6, -35.1499999998 ] ]
23fishnet.h5
Area23_1
[ [ 146.7, -43.6499999999 ], [ 146.7, -43.6 ], [ 146.75, -43.6 ], [ 146.75, -43.6499999999 ], [ 146.7, -43.6499999999 ] ]
23fishnet.h5
Area23_2
[ [ 146.75, -43.6499999999 ], [ 146.75, -43.6 ], [ 146.800000001, -43.6 ], [ 146.800000001, -43.6499999999 ], [ 146.75, -43.6499999999 ] ]
23fishnet.h5
Area23_3
[ [ 146.800000001, -43.6499999999 ], [ 146.800000001, -43.6 ], [ 146.850000001, -43.6 ], [ 146.850000001, -43.6499999999 ], [ 146.800000001, -43.6499999999 ] ]
24fishnet.h5
Area24_1
[ [ 165.85, -50.8999999998 ], [ 165.85, -50.8499999999 ], [ 165.9, -50.8499999999 ], [ 165.9, -50.8999999998 ], [ 165.85, -50.8999999998 ] ]
24fishnet.h5
Area24_2
[ [ 165.9, -50.8999999998 ], [ 165.9, -50.8499999999 ], [ 165.949999999, -50.8499999999 ], [ 165.949999999, -50.8999999998 ], [ 165.9, -50.8999999998 ] ]
24fishnet.h5
Area24_3
[ [ 166.15, -50.8999999998 ], [ 166.15, -50.8499999999 ], [ 166.2, -50.8499999999 ], [ 166.2, -50.8999999998 ], [ 166.15, -50.8999999998 ] ]
25fishnet.h5
Area25_1
[ [ -174.95, -21.5000000001 ], [ -174.95, -21.4500000002 ], [ -174.9, -21.4500000002 ], [ -174.9, -21.5000000001 ], [ -174.95, -21.5000000001 ] ]
25fishnet.h5
Area25_2
[ [ -175, -21.4500000002 ], [ -175, -21.4000000003 ], [ -174.95, -21.4000000003 ], [ -174.95, -21.4500000002 ], [ -175, -21.4500000002 ] ]
25fishnet.h5
Area25_3
[ [ -174.95, -21.4500000002 ], [ -174.95, -21.4000000003 ], [ -174.9, -21.4000000003 ], [ -174.9, -21.4500000002 ], [ -174.95, -21.4500000002 ] ]
26fishnet.h5
Area26_1
[ [ -149.299999999, -17.9000000001 ], [ -149.299999999, -17.8500000002 ], [ -149.249999999, -17.8500000002 ], [ -149.249999999, -17.9000000001 ], [ -149.299999999, -17.9000000001 ] ]
26fishnet.h5
Area26_2
[ [ -149.249999999, -17.9000000001 ], [ -149.249999999, -17.8500000002 ], [ -149.199999999, -17.8500000002 ], [ -149.199999999, -17.9000000001 ], [ -149.249999999, -17.9000000001 ] ]
26fishnet.h5
Area26_3
[ [ -149.199999999, -17.9000000001 ], [ -149.199999999, -17.8500000002 ], [ -149.15, -17.8500000002 ], [ -149.15, -17.9000000001 ], [ -149.199999999, -17.9000000001 ] ]
27fishnet.h5
Area27_1
[ [ -91.4500000006, -1.0500000005 ], [ -91.4500000006, -1.0000000006 ], [ -91.3999999998, -1.0000000006 ], [ -91.3999999998, -1.0500000005 ], [ -91.4500000006, -1.0500000005 ] ]
27fishnet.h5
Area27_2
[ [ -91.3999999998, -1.0500000005 ], [ -91.3999999998, -1.0000000006 ], [ -91.3499999999, -1.0000000006 ], [ -91.3499999999, -1.0500000005 ], [ -91.3999999998, -1.0500000005 ] ]
27fishnet.h5
Area27_3
[ [ -91.3499999999, -1.0500000005 ], [ -91.3499999999, -1.0000000006 ], [ -91.3, -1.0000000006 ], [ -91.3, -1.0500000005 ], [ -91.3499999999, -1.0500000005 ] ]
28fishnet.h5
Area28_1
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28fishnet.h5
Area28_2
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28fishnet.h5
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29fishnet.h5
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29fishnet.h5
Area29_2
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31fishnet.h5
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31fishnet.h5
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31fishnet.h5
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32fishnet.h5
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32fishnet.h5
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33fishnet.h5
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34fishnet.h5
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Area34_3
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35fishnet.h5
Area35_1
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35fishnet.h5
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35fishnet.h5
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36fishnet.h5
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36fishnet.h5
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36fishnet.h5
Area36_3
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37fishnet.h5
Area37_1
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37fishnet.h5
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Area37_3
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39fishnet.h5
Area39_1
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39fishnet.h5
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39fishnet.h5
Area39_3
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40fishnet.h5
Area40_1
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40fishnet.h5
Area40_2
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40fishnet.h5
Area40_3
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41fishnet.h5
Area41_1
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41fishnet.h5
Area41_2
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41fishnet.h5
Area41_3
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42fishnet.h5
Area42_1
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42fishnet.h5
Area42_2
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42fishnet.h5
Area42_3
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43fishnet.h5
Area43_1
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End of preview.