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

981 to 990 of 4,499 Results
10km grids (raw).zip
Nov 15, 2023 - Replication Data for: Exploring Multi-Driver Influences on Indonesia's Biomass Fire Patterns from 2002 to 2019 through Geographically Weighted Regression
Shapefile as ZIP Archive - 18.5 MB - MD5: 4db2315eae10fa4a33f09a3b36ca8674
GWR analysis with 10km grids.R
Nov 15, 2023 - Replication Data for: Exploring Multi-Driver Influences on Indonesia's Biomass Fire Patterns from 2002 to 2019 through Geographically Weighted Regression
R Syntax - 60.5 KB - MD5: 9e0e14702aecff5e6fb0c81208d39cb2
GWR supp table.zip
Nov 15, 2023 - Replication Data for: Exploring Multi-Driver Influences on Indonesia's Biomass Fire Patterns from 2002 to 2019 through Geographically Weighted Regression
ZIP Archive - 15.3 KB - MD5: 71fe05f6b22c42481748524ea0cf124c
Processed 10km grids (shp).zip
Nov 15, 2023 - Replication Data for: Exploring Multi-Driver Influences on Indonesia's Biomass Fire Patterns from 2002 to 2019 through Geographically Weighted Regression
Shapefile as ZIP Archive - 8.4 MB - MD5: c96e2e77728c92e6f2c78b636199e27e
Results 10km grids (shp).zip
Nov 15, 2023 - Replication Data for: Exploring Multi-Driver Influences on Indonesia's Biomass Fire Patterns from 2002 to 2019 through Geographically Weighted Regression
Shapefile as ZIP Archive - 10.0 MB - MD5: 4abbf91241bfba7048f056fd69416a8f
Table - OLS results (using FL_NoWFCOP).zip
Nov 15, 2023 - Replication Data for: Exploring Multi-Driver Influences on Indonesia's Biomass Fire Patterns from 2002 to 2019 through Geographically Weighted Regression
ZIP Archive - 7.2 KB - MD5: 765d6f053bbea85a9542b0c446ce99a7
Chart data for: Extent of illegal sand mining in the Mekong Delta
Nov 14, 2023 - Kai Wan YUEN
Yuen, Kai Wan; Park, Edward; Tran, Dung Duc; Loc, Ho Huu; Feng, Lian; Wang, Jingyu; Gruel, Charles-Robin; Switzer, Adam D, 2023, "Chart data for: Extent of illegal sand mining in the Mekong Delta", https://doi.org/10.21979/N9/WFT9MM, DR-NTU (Data), V1, UNF:6:IA9vUyM6BlTzkuHhXl7AIg== [fileUNF]
Chart data for Figures 1, 2 and 3.
Figure1_data.tab
Nov 14, 2023 - Chart data for: Extent of illegal sand mining in the Mekong Delta
Tabular Data - 6.4 KB - 17 Variables, 51 Observations - UNF:6:GuhtSygKjIGYAG6TfRm9OA==
Data for the extent of sediment depletion in the Mekong Delta
Figure2_data.tab
Nov 14, 2023 - Chart data for: Extent of illegal sand mining in the Mekong Delta
Tabular Data - 954 B - 4 Variables, 23 Observations - UNF:6:CnUAlc901HI9fhrE/DXdpA==
Data for the allowable rate of allowable rate of sand extraction and the actual volume of sand extracted relative to the officially declared sand reserve along the length of the Tien and Hau Rivers
Figure3_data.tab
Nov 14, 2023 - Chart data for: Extent of illegal sand mining in the Mekong Delta
Tabular Data - 490 B - 7 Variables, 7 Observations - UNF:6:Ad7ZYfvxzguiAOauCAyBFQ==
Data for the distribution of illegal sand mining in the Mekong Delta
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.