1 to 10 of 112 Results
Markdown Text - 2.8 KB -
MD5: e4b01922a4aa0b18b065832c74dcba77
|
Network Common Data Form - 30.8 MB -
MD5: d36d62035a2ea34f5a086b31bfa5c507
|
Network Common Data Form - 30.9 MB -
MD5: 8363af38a46a654a0d55887911a0e24e
|
Aug 15, 2025 -
Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
Network Common Data Form - 74.7 MB -
MD5: 17e8042252e893344111f6e96c86a94c
|
Aug 15, 2025 -
Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
Network Common Data Form - 79.0 MB -
MD5: 36d5ac9e6514fe29e5c7814a9ed9243b
|
Aug 15, 2025 -
Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
Plain Text - 3.2 KB -
MD5: eb4bf339889091306e00f48370bdadd8
|
Aug 15, 2025 -
Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
Plain Text - 2.5 KB -
MD5: 3998cbd2c2f9cde026e0609326f623ba
|
Aug 15, 2025 -
Data for: ML-TWiX: A Machine Learning approach for Total Water storage anomaly eXtension back to 1980
Python Source Code - 2.8 KB -
MD5: 5054ba17e6830903599b298badbfe562
|
Feb 14, 2025 -
Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)
Network Common Data Form - 22.7 MB -
MD5: cade7f6ed55aeda48268db94a19a4dc7
|
Feb 14, 2025 -
Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)
Network Common Data Form - 63.0 MB -
MD5: aa5d93c1acac9356608e5884a83e231b
|
