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

3,591 to 3,600 of 4,499 Results
Tabular Data - 6.6 KB - 20 Variables, 50 Observations - UNF:6:W4xgZOOPlFNYhKE7PML/tQ==
Alkaline phosphatase activity results from seawater incubations, and associated biogeochemical data
Tabular Data - 17.2 KB - 24 Variables, 91 Observations - UNF:6:K5mHkKV64nbctNnW1rcZPA==
Alkaline phosphatase activity results and associated biogeochemical data from time series measurements in Singapore
Tabular Data - 12.8 KB - 30 Variables, 54 Observations - UNF:6:QOumS2yz/W0KQ4maeZynOQ==
Zooxanthellae counts from coral fragments used for coral alkaline phosphatase activity incubations
ZHOU Yongli(Nanyang Technological University)
ZHOU Yongli logo
Apr 22, 2021
Appointment: PhD student (Graduated)
Apr 21, 2021 - Perrine Hamel
Hamel, Perrine; Tardieu, Léa; Han, Baolong; Nootenboom, Chris; Lonsdorf, Eric, 2021, "Metadata record for the manuscript: Mapping the benefits of nature in cities with the InVEST software", https://doi.org/10.21979/N9/C7MJTD, DR-NTU (Data), V1, UNF:6:YUAVNBwMXtD6CrNF02ljiA== [fileUNF]
Data for: Mapping the benefits of nature in cities with the InVEST software
Tabular Data - 25.3 KB - 6 Variables, 405 Observations - UNF:6:YUAVNBwMXtD6CrNF02ljiA==
Supporting data for Figure 2: Ecosystem services values for each golf course in the Twin Cities
Shapefile as ZIP Archive - 816.9 KB - MD5: 7ead85bfe2801fa85384bbaa6c1933e2
Supporting data for Figure 3: Access to greenspace (UGS) and impact on bivariate index, for each administrative unit (IRIS)
TIFF Image - 648.1 MB - MD5: 7c4ac7de3c78732b468cdbd7e44f42f9
Supporting data for Table 2: Runoff retention volume map for Shenzhen (m3)
TIFF Image - 385.6 KB - MD5: 3f837ddd71e52596e2cfd9e829f3d270
Supporting data for Table 2: Sediment retention map for Shenzhen (ton/ha)
Add Data

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.