Datasets:

kcribb12
/

global-drillhole-database

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Column(/data/[]/id) changed from string to number in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 174, in _generate_tables
                  df = pandas_read_json(f)
                       ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1391, in _parse
                  self.obj = DataFrame(
                             ^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/frame.py", line 778, in __init__
                  mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
                  return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
                  index = _extract_index(arrays)
                          ^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 680, in _extract_index
                  raise ValueError(
              ValueError: Mixing dicts with non-Series may lead to ambiguous ordering.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 503, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 177, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                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
              pyarrow.lib.ArrowInvalid: JSON parse error: Column(/data/[]/id) changed from string to number in row 0

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Global Drillhole Database

3,958,882+ drill holes from geological surveys worldwide.

Dataset Summary

Region	Records	Type	Source
🇦🇺 Western Australia	3,020,000	Drill holes	DMIRS WAMEX
🇨🇦 Canada	378,666	Drill holes + occurrences	Provincial surveys
🇿🇦 South Africa	262,213	Boreholes + samples	CGS Portal
🇦🇺 South Australia	200,164	Drill holes	SARIG
🇬🇱 Greenland	59,715	Drill cores + samples	GEUS
🇦🇺 Tasmania	38,124	Boreholes	MRT
TOTAL	3,958,882

🇿🇦 South Africa Breakdown (NEW!)

Source	Type	Records
CGS Borehole Positions	Exploration	67,330
CGS Coal & Core	Coal Exploration	65,535
CGS Dolomitic Land	Karst Investigation	64,418
CGS Geotechnical	Engineering	25,471
CGS Trial Holes	Test Pits	18,874
CGS Dolomite Reports	Reports	8,847
CGS Petrophysics	Rock Samples	11,738
Total		262,213

Note: An additional ~282,890 boreholes are available in South Africa's National Groundwater Archive (NGA) with free registration at https://www.dws.gov.za/NGANet/

Canada Breakdown

Quebec (SIGEOM): 185,322
Ontario (ODHD): 166,281
British Columbia (MINFILE): 15,789
Saskatchewan (SMDI): 6,012
Manitoba (MGS): 4,996
Alberta (AGS): 266

Greenland Breakdown

Rock Samples: 20,000
Ujarassiorit (citizen samples): 20,000
Stream Sediments: 9,787
Drill Cores: 4,817
Heavy Minerals: 1,692
Soil Samples: 1,494
Mineral Occurrences: 1,276
EMODnet Offshore: 550
Scree Samples: 99

Schema

Field	Type	Description
`id`	string	Unique identifier / hole ID
`name`	string	Hole name
`lat`	float	Latitude (WGS84)
`lon`	float	Longitude (WGS84)
`region`	string	State/Province/Country
`country`	string	Country code (CA, AU, US, GL, ZA)
`source`	string	Data source
`type`	string	drill_hole, mineral_occurrence, borehole, rock_sample
`commodity`	string	Target commodity (Gold, Copper, Coal, etc.)
`depth`	float	Total depth (meters)
`year`	int	Year drilled
`url`	string	Source URL

Data Files

File	Records	Format
`data/western_australia.parquet`	3,020,000	Parquet
`data/canada.json`	378,666	JSON
`data/south_africa.parquet`	262,213	Parquet
`data/south_africa.json`	262,213	JSON
`data/south_australia.json`	200,164	JSON
`data/greenland.json`	59,715	JSON
`data/tasmania.json`	38,124	JSON

Usage

from datasets import load_dataset

# Load all regions
ds = load_dataset("kcribb12/global-drillhole-database")

# Load specific region
south_africa = load_dataset("kcribb12/global-drillhole-database", data_files="data/south_africa.parquet")
canada = load_dataset("kcribb12/global-drillhole-database", data_files="data/canada.json")

# Filter by commodity
gold_holes = ds.filter(lambda x: x['commodity'] == 'Gold')
coal_holes = ds.filter(lambda x: x['commodity'] == 'Coal')

Sources

Western Australia: DMIRS SLIP Portal (https://dasc.dmirs.wa.gov.au/)
Canada: Provincial Geological Surveys (SIGEOM, ODHD, MINFILE, etc.)
South Africa: Council for Geoscience (https://maps.geoscience.org.za)
South Australia: SARIG (https://map.sarig.sa.gov.au/)
Greenland: GEUS (https://data.geus.dk/)
Tasmania: MRT (https://www.mrt.tas.gov.au/)

License

Data aggregated from public geological survey sources. Individual region licenses apply.

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