El Niño–Southern Oscillation (ENSO) and interannual climate variability, ocean-land-atmosphere interactions, hydrology (water resources).
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.

Advanced Search

1 to 10 of 25 Results
Jun 16, 2025
Leandro Díaz; Anna Sorenson; Carolina Vera; Mercedes Carón; Esteban Kowalojw; Matías Mastrangelo; Diego Cabrol; Flavia Mazzini; Daniel Cáceres; Sandra Díaz, 2025, "Climatic characterization of the sites in Argentina (Córdoba y Santiago del Estero)", https://doi.org/10.7910/DVN/DUWBBU, Harvard Dataverse, V1
Dateset contains past and future exploration on climate in Chancaní, Córdoba and Copo, Santiago del Estero, Argentina. The described variables were proposed by the climatologist, biologist and agronomic engineers and up -dated with the information obtained after the stakeholders workshop. This climatic description is within the framework of the pro...
Adobe PDF - 893.2 KB - MD5: 61d55dcaf08a8ec22089f72f226d3511
Jun 9, 2025
Nion, soledad, 2025, "Matriz sistematización "Construcción de problemáticas y estrategias sobre cambio climático, salud y agroecología"", https://doi.org/10.7910/DVN/BE7I7Z, Harvard Dataverse, V1
Datos sistematizados del proyecto Fondo Semilla SG-090-CEH “Construcción de problemáticas y estrategias sobre cambio climático, salud y agroecología desde un enfoque transdisciplinario. Experiencia y aportes del grupo de mujeres en la Red de Agroecología del Uruguay”. Cuyo objetivo principal fue "Co-construir conocimientos e identificar estrategias...
Mar 19, 2021
Olivia del Giorgio; Yann le Pollain de Waroux; Sandra Díaz, 2021, "GIS layers that set the bases for a guide of land-use change and deforestation at the four sites in seasonal dry forests in South America", https://doi.org/10.7910/DVN/HDYILX, Harvard Dataverse, V1
Dateset contains extensive GIS layer territorial descriptions for four selected territories in ecologically and socially heterogeneous seasonally-dry forests of South America, subjected to rapid change mainly due to global climatic, ecological and social drivers, from descriptive layer like topography to land use change. Main objective is to identi...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.