UMR LISAH

Laboratory for the study of Soil-Agrosystem-Hydrosystem interactions

LISAH researches deals with hydrology, contaminants transfer and erosion in cultivated landscapes, and on the spatial properties and temporal changes of the landscapes, in order to address following an integrated approach and with a broad view the many challenges relative to water and soils in cultivated landscapes.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 10 of 48 Results

Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France May 20, 2026 Gomez, Cecile; Coulouma, Guillaume; Lagacherie, Philippe, 2026, "Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France", https://doi.org/10.23708/72HHXP, DataSuds, V1, UNF:6:SOjXxcxDrnCUTbr4msCaUA== [fileUNF] This dataset provides 148 Vis-NIR reflectance spectra measured on soil samples collected from the La Peyne catchment (Hérault, France). Soil samples 148 soil samples were collected in 2009 on the La Peyne catchment (Herault, France). All of these samples are composed of ﬁve sub-s...
ReadMe_10.23708_72HHXP.txt May 20, 2026 - Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France Plain Text - 2.6 KB - MD5: 8d09e14526d104e7332ba98c8dfbdde5 Documentation contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
Peyne2009_carbon_data.tab May 20, 2026 - Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France Tabular Data - 3.3 KB - 1 Variables, 148 Observations - UNF:6:3BHHQrvvhi4oNTe7+3UnOQ== Données
Peyne2009_metadata.tab May 20, 2026 - Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France Tabular Data - 70.4 KB - 29 Variables, 148 Observations - UNF:6:Xp6WSPgtmOpXigzVV5zJXQ== Documentation
Peyne2009_ReadMe.txt May 20, 2026 - Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France Plain Text - 10.9 KB - MD5: 998bb3d241900bbcac8c11bbbe66b428 Documentation contains descriptive information about the deposited data (variable descriptions, context, methodology, etc.)
Peyne2009_VisNIR_reflectance_spectra.csv May 20, 2026 - Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France Comma Separated Values - 3.3 MB - MD5: ed85ab82cf21778ecfb8151fca5fe913 Données
OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023). Apr 7, 2026 Raclot, Damien; Hamdi, Radhouane, 2025, "OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).", https://doi.org/10.23708/PPPPDL, DataSuds, V2 This dataset contains Rainfall, Evaporation, Discharge and Suspendend Sediment Concentration data over the period 1994-2023 from Kamech catchment, OMERE Observatory (Molenat et al., 2018, https://dx.doi.org/10.2136/vzj2018.04.0086). The OMERE long-term observation strategy intend...
Read_me.txt Apr 7, 2026 - OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023). Plain Text - 7.5 KB - MD5: 11519930e97b68c6685b86dc051c0560 Documentation Documentation file for the data published through this dataset. Contains, in particular, a data dictionary describing the variables present in the data files.
Catchment_GBV_EPSG32632.zip Apr 7, 2026 - OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023). Shapefile as ZIP Archive - 3.7 KB - MD5: 927b277630cab47b508976481433bca8 Données
Catchment_LAKE_EPSG32632.zip Apr 7, 2026 - OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023). Shapefile as ZIP Archive - 4.4 KB - MD5: d6477fad273b66be1f0f60bb16b0f95d Données

Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France

May 20, 2026

Gomez, Cecile; Coulouma, Guillaume; Lagacherie, Philippe, 2026, "Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France", https://doi.org/10.23708/72HHXP, DataSuds, V1, UNF:6:SOjXxcxDrnCUTbr4msCaUA== [fileUNF]

This dataset provides 148 Vis-NIR reflectance spectra measured on soil samples collected from the La Peyne catchment (Hérault, France). Soil samples 148 soil samples were collected in 2009 on the La Peyne catchment (Herault, France). All of these samples are composed of ﬁve sub-s...

ReadMe_10.23708_72HHXP.txt

May 20, 2026 - Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France

Plain Text - 2.6 KB -

Documentation

contains the citation, description and conditions of use, or even access, depending on the case, to the dataset

Peyne2009_carbon_data.tab

May 20, 2026 - Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France

Tabular Data - 3.3 KB - 1 Variables, 148 Observations -

Données

Peyne2009_metadata.tab

May 20, 2026 - Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France

Tabular Data - 70.4 KB - 29 Variables, 148 Observations -

Documentation

Peyne2009_ReadMe.txt

May 20, 2026 - Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France

Plain Text - 10.9 KB -

Documentation

contains descriptive information about the deposited data (variable descriptions, context, methodology, etc.)

Peyne2009_VisNIR_reflectance_spectra.csv

May 20, 2026 - Vis-NIR Spectral data for Texture and Soil Organic Carbon prediction - La Peyne - France

Comma Separated Values - 3.3 MB -

Données

OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).

Apr 7, 2026

Raclot, Damien; Hamdi, Radhouane, 2025, "OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).", https://doi.org/10.23708/PPPPDL, DataSuds, V2

This dataset contains Rainfall, Evaporation, Discharge and Suspendend Sediment Concentration data over the period 1994-2023 from Kamech catchment, OMERE Observatory (Molenat et al., 2018, https://dx.doi.org/10.2136/vzj2018.04.0086). The OMERE long-term observation strategy intend...

Read_me.txt

Apr 7, 2026 - OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).

Plain Text - 7.5 KB -

Documentation

Documentation file for the data published through this dataset. Contains, in particular, a data dictionary describing the variables present in the data files.

Catchment_GBV_EPSG32632.zip

Apr 7, 2026 - OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).

Shapefile as ZIP Archive - 3.7 KB -

Données

Catchment_LAKE_EPSG32632.zip

Apr 7, 2026 - OMERE Observatory - A long-term dataset on hydrology and suspended sediments in the Kamech catchment (1994-2023).

Shapefile as ZIP Archive - 4.4 KB -

Données

Add Data

Share Dataverse

Link Dataverse

Reset Modifications