This dataverse is a collection of the Asian School of the Environment’s research data.

Featured Dataverses

In order to use this feature you must have at least one published 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 4,524 Results
Inventory of flood damage models and data for rice
Jan 31, 2026 - Alina BILL-WEILANDT
Bill-Weilandt, Alina; Lallemant, David; Hamel, Perrine, 2026, "Inventory of flood damage models and data for rice", https://doi.org/10.21979/N9/OZGWXE, DR-NTU (Data), V1, UNF:6:1XQwF4VK03RCYze/QOYj7A== [fileUNF]
The file contains a structured overview of flood damage models for rice as well as the damage data and lookup tables for the models. The inventory includes data obtained from a literature review as well as primary data collected through a household survey in the Lower Songkhram R...
Inventory of flood damage models and data for rice.tab
Jan 31, 2026 - Inventory of flood damage models and data for rice
Tabular Data - 145 B - 1 Variables, 1 Observations - UNF:6:1XQwF4VK03RCYze/QOYj7A==
Alina BILL-WEILANDT(Nanyang Technological University)
Jan 31, 2026
Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China SeaEmbargoed
Jan 7, 2026 - XU Jiamin
Xu, Jiamin, 2026, "Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea", https://doi.org/10.21979/N9/GGWL4H, DR-NTU (Data), V2, UNF:6:Ike5okl/q+GZgw/TPn9wZA== [fileUNF]
This dataset comprises a database of tide gauge data, precipitation data, and codes used in the thesis to ensure reproducibility of the research (2025)
Chapter2.REmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
R Syntax - 47.5 KB - MD5: 0cdb781411516736640445e4dd725d7e
R code for Chapter 2
Chapter3.REmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
R Syntax - 53.6 KB - MD5: 9a5f93e8a5397e07e9518173bb06886a
R code for Chapter 3
Chapter4.REmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
R Syntax - 168.6 KB - MD5: 430eedeb5be7aea5fd8f52ee1f352f23
R code for Chapter 4
Chapter5.REmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
R Syntax - 21.3 KB - MD5: 7b8f5b2b1646ba646289895ecee44afc
R code for Chapter 5
PPTHK.ncEmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
Network Common Data Form - 2.4 MB - MD5: 67d57516a3edeb13572a735147cb3dd5
Precipitation data - Hong Kong (from ERA5)
PPTKH.ncEmbargoed
Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
Network Common Data Form - 3.6 MB - MD5: 2040e0e3e20cb2863b79fac1d9e9e435
Precipitation data - Kaohsiung (from ERA5)
Add Data

Log in to create a dataverse or add a dataset.

Log In
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.