The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: ReadTimeout
Message: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 65e73729-eb45-4f57-921f-c094e664088d)')
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 164, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1729, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1686, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1024, in get_module
standalone_yaml_path = cached_path(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 178, in cached_path
resolved_path = huggingface_hub.HfFileSystem(
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 175, in resolve_path
repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 121, in _repo_and_revision_exist
self._api.repo_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2682, in repo_info
return method(
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2539, in dataset_info
r = get_session().get(path, headers=headers, timeout=timeout, params=params)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 602, in get
return self.request("GET", url, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 93, in send
return super().send(request, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 635, in send
raise ReadTimeout(e, request=request)
requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 65e73729-eb45-4f57-921f-c094e664088d)')Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
World elevation dataset
High resolution dataset containing the world elevation above the sea level in meters. See python example to get the estimated elevation from a coordinate.
Info
This dataset comprises global elevation data sourced from ASTER GDEM, which has been compressed and retiled for efficiency. The retiled data adheres to the common web map tile convention used by platforms such as OpenStreetMap, Google Maps, and Bing Maps, providing compatibility with zoom level 8 tiles. More details on this tiling system can be found on the OpenStreetMap wiki.
To minimize data size, a unique compression technique was utilized, encoding the elevation data into a combination of JPG and PNG images. This innovative method reduced the dataset size significantly, from approximately 560 gigabytes to just 22 gigabytes, with minimal loss of information.
Usage
Install by cloning the project from github:
git clone https://github.com/Upabjojr/peaknav-tools
cd peaknav-tools
pip install -e .
Example usage, get the estimated elevation of Mount Mitchell, North Carolina, in meters:
from peaknav_tools import get_elevation_from_coordinates
get_elevation_from_coordinates(35.7649563, -82.2651155)
Currently, this returns an elevation of 2024 meters for this coordinate (the actual elevation of Mount Mitchell is 2038 meters). The elevation error typically ranges between 10-20 meters.
References
This dataset has been generously donated by the PeakNav app.
Citation of the source data:
NASA/METI/AIST/Japan Spacesystems, and U.S./Japan ASTER Science Team. ASTER Global
Digital Elevation Model V003. 2018, distributed by NASA EOSDIS Land Processes DAAC,
https://doi.org/10.5067/ASTER/ASTGTM.003
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