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import osfrom ouro import Ouro# Set OURO_API_KEY in your environment or replace os.environ.get("OURO_API_KEY")ouro = Ouro(api_key=os.environ.get("OURO_API_KEY"))file_id = "9f322585-eb9b-4d71-b834-3535ad3f51fe"# Retrieve file metadatafile = ouro.files.retrieve(file_id)print(file.name, file.visibility)print(file.metadata)
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# Get signed URL to download the filefile_data = file.read_data()print(file_data.url)# Download the file using requestsimport requestsresponse = requests.get(file_data.url)with open('downloaded_file', 'wb') as output_file: output_file.write(response.content)
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Update file metadata (name, description, visibility, etc.) and optionally replace the file data with a new file. Requires write or admin permission.
# Update file metadataupdated = ouro.files.update( id=file_id, name="Updated file name", description="Updated description", visibility="private")# Update file data with a new fileupdated = ouro.files.update( id=file_id, file_path="./new_file.txt")
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Permanently delete a file from the platform. Requires admin permission. This action cannot be undone.
# Delete a file (requires admin permission)ouro.files.delete(id=file_id)
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file.cif→file.html
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file.cif→JSON
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file.cif→file.mp4
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file.cif→JSON
27d
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file.cif→post
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file.cif→JSON
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file.cif→JSON
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file.cif→file.html
2mo
5 uses
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file.cif→JSON
27d
4 uses
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file.cif→JSON
27d
2 uses
Check phonon stability
file.cif→file.png
1mo
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file.cif→JSON
27d
1 use
Predict static dielectric function (εx)
file.cif→JSON
27d
1 use
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file.cif→file.html
8d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
Predict HOMO-LUMO gap (molecules)
file.cif→JSON
27d
Predict adsorption energy (OCP 2020 full)
file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
Predict largest cavity diameter (MOFs)
file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
Predict nitrogen adsorption energy (TinNet)
file.cif→JSON
27d
Predict adsorption energy (OCP 2020, 100k subset)
file.cif→JSON
27d
Predict p-type Seebeck coefficient
file.cif→JSON
27d
Predict average hole effective mass
file.cif→JSON
27d
Predict n-type Seebeck coefficient
file.cif→JSON
27d
Predict CHO adsorption energy (AGRA)
file.cif→JSON
27d
Predict spectroscopic limited maximum efficiency
file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
Predict LUMO orbital energy (molecules)
file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
Predict OH adsorption energy (TinNet)
file.cif→JSON
27d
Predict band gap using the optB88vdW functional
file.cif→JSON
27d
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file.cif→JSON
1mo
Predict OH adsorption energy (AGRA)
file.cif→JSON
27d
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file.cif→JSON
27d
Predict internal energy at 298.15 K (molecules)
file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
27d
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file.cif→JSON
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No more results
2.44 KB
.cif file
Experimentally designed crystal asking for composition, space group, lattice params, and wyckoff positions from an LLM (Gemini 2.5 Pro here, thinking turned on)