Géosciences Environnement Toulouse

Le GET est un laboratoire de recherche fondamentale et appliquée de plus de 165 permanents (environ 250 personnes avec les étudiants, post-doctorants, personnels sous contrat à durée déterminée, etc.). Il est membre de l’Observatoire Midi-Pyrénées. Ses domaines de compétences sont ceux des Géosciences et des Sciences de l’Environnement bâtis autour de personnels affiliés à 5 tutelles différentes (CNRS, IRD, Université Toulouse III/CNAP et CNES).

Le laboratoire est fortement interdisciplinaire ; ses collaborateurs interagissent au sein d'un continuum des sciences de l’environnement aux géosciences :
  • Évolution et dynamique de la Terre
  • Observation spatiale et in situ de la Terre
  • Géoressources Contaminants Sociétés
  • Interactions fluide-roche-vivant
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31 to 40 of 71 Results
20240618-DataSuds-Song-Gerlach experiment-Soil surface features.tab
Jan 22, 2025 - Rainfall, surface runoff, soil erosion, soil physical properties and soil surface features in teak tree plantations, Houay Pano catchment, Northern Lao PDR (2001-2019)
Tabular Data - 962 B - 25 Variables, 9 Observations - UNF:6:E80msTfwuLe9XWWPSpCU/w==
Données
Soil surface features
20241217-DataSuds-Song-Gerlach experiment-Readme.csv
Jan 22, 2025 - Rainfall, surface runoff, soil erosion, soil physical properties and soil surface features in teak tree plantations, Houay Pano catchment, Northern Lao PDR (2001-2019)
Comma Separated Values - 5.8 KB - MD5: a89a9c6dd3e9c72bce3b4adef0db21ff
Documentation
Data dictionary
psds_chavascal.tab
May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code
Tabular Data - 15.9 MB - 517 Variables, 3027 Observations - UNF:6:am6cSO1jVKdN5mqReymvHA==
Data
Test dataset
psds_low_varzea.tab
May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code
Tabular Data - 32.4 MB - 517 Variables, 6308 Observations - UNF:6:IL4rv/Alts6mLKH6QrEMRA==
Data
Test dataset
psds_training.tab
May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code
Tabular Data - 363.7 MB - 516 Variables, 48208 Observations - UNF:6:jTD/itqKxc5wvbFtqhf0Gg==
Data
Data used for training the models
sound_of_rainfall_Amazon_ReadMe.pdf
sound_of_rainfall_Amazon_ReadMe.pdf
May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code
Adobe PDF - 28.2 KB - MD5: 5a4a82a66d96b19d45701029d0e15e8a
Documentation
Dataset citation, description and terms of use
sound_of_rainfall.ipynb
May 21, 2024 - Measuring Amazon rainfall intensity with sound recorders: data and code
Jupyter Notebook - 270.6 KB - MD5: 85a560f15d345d32ff0f0ec57edebb50
Code
Jupyter Notebook
Landuselaksip_areas.dbf
Mar 26, 2024 - Land use of the Laksip village south of the National Road 13, Northern Lao PDR (2016)
dBASE Table for ESRI Shapefile - 1.1 KB - MD5: e74d587791aced46c6f9ea0df84ee0c7
Data
Land-use map shapefile associated file
Landuselaksip_areas.prj
Mar 26, 2024 - Land use of the Laksip village south of the National Road 13, Northern Lao PDR (2016)
ESRI Shapefile - 145 B - MD5: c742bee3d4edfc2948a2ad08de1790a5
Data
Land-use map shapefile associated file
Landuselaksip_areas.shp
Mar 26, 2024 - Land use of the Laksip village south of the National Road 13, Northern Lao PDR (2016)
Shape - 8.8 KB - MD5: 56a176254136716b1b6941cd3c1f7f74
Data
Shapefile of the land-use map
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