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

71 to 80 of 4,491 Results
Replication Data for: Ocean acidification in Southeast Asia: a multiannual time series of carbonate system variability in the central Sunda Shelf Sea
Oct 31, 2025 - Marine biogeochemistry group
Martin, Patrick, 2025, "Replication Data for: Ocean acidification in Southeast Asia: a multiannual time series of carbonate system variability in the central Sunda Shelf Sea", https://doi.org/10.21979/N9/WPDJO6, DR-NTU (Data), V2
This dataset contains time series data and analysis codes for seawater carbonate system parameters and other ancillary biogeochemical and physical variables of seawater in the Singapore Strait
2025-09-22 Singapore bottle file_update WMH_Field Trip.txt
Oct 31, 2025 - Replication Data for: Ocean acidification in Southeast Asia: a multiannual time series of carbonate system variability in the central Sunda Shelf Sea
Plain Text - 63.9 KB - MD5: 94ccacafeba2d9b96f1a8b7bdabf7ed8
Latest updated time series dataset. Used for the revised version of the paper
Carbonate System_Python code V2.ipynb
Oct 31, 2025 - Replication Data for: Ocean acidification in Southeast Asia: a multiannual time series of carbonate system variability in the central Sunda Shelf Sea
Jupyter Notebook - 7.4 MB - MD5: 29f48fd2284686d8b4a75ddc5b0d1dca
Code
Latest updated version of the analysis code. Used for the revised version of the paper
Readme.txt
Oct 31, 2025 - Replication Data for: Ocean acidification in Southeast Asia: a multiannual time series of carbonate system variability in the central Sunda Shelf Sea
Plain Text - 3.2 KB - MD5: ba71699b216afba14d23aa17852ccdc7
Documentation
FISH_images_1.tarEmbargoed
Oct 30, 2025 - Replication data for: Microbial ecology of the naturalized streams of Sembawang hot spring, Singapore
TAR Archive - 9.0 GB - MD5: 768e62fa6bb407f522a6498ffb2e4bab
FISH images for chapter 4
FISH_images_2.tarEmbargoed
Oct 30, 2025 - Replication data for: Microbial ecology of the naturalized streams of Sembawang hot spring, Singapore
TAR Archive - 9.8 GB - MD5: 14754c99c4285bc4f5a44ac2a4f2d6f6
FISH images for chapter 4
FISH_images_3.tarEmbargoed
Oct 30, 2025 - Replication data for: Microbial ecology of the naturalized streams of Sembawang hot spring, Singapore
TAR Archive - 1.6 GB - MD5: 2f6c11e11614319a6ab003a8f8d726ac
FISH images for chapter 4
0. pre_covid_samples.tarEmbargoed
Oct 30, 2025 - Replication data for: Microbial ecology of the naturalized streams of Sembawang hot spring, Singapore
TAR Archive - 2.3 GB - MD5: 895e886b5bd7c0510613f416b8e410b2
sequencing data for chapter 2
1. 2021Dec_samples.tarEmbargoed
Oct 30, 2025 - Replication data for: Microbial ecology of the naturalized streams of Sembawang hot spring, Singapore
TAR Archive - 7.1 GB - MD5: f58446d1bb2a99f777407aa1ee43ff3c
sequencing data for chapter 2
2. 2022_temporal_samples.tarEmbargoed
Oct 30, 2025 - Replication data for: Microbial ecology of the naturalized streams of Sembawang hot spring, Singapore
TAR Archive - 6.4 GB - MD5: 0bc15c8daa3d1a338e89cfbd74be17e3
sequencing data for chapter 2
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.