Earth Observatory of Singapore (EOS)

This dataverse is a collection of the Earth Observatory of Singapore’s research data.

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1,391 to 1,400 of 15,611 Results

sta_0016 Aug 21, 2025 - Replication Data for: An initial assessment of volcanic meteo-tsunami hazard in the South China Sea:what we learned and how to move forward Plain Text - 952.1 KB - MD5: 9d00ffdf770a83714d5b1fd3bb3ea10d
sta_0016 Aug 21, 2025 - Replication Data for: An initial assessment of volcanic meteo-tsunami hazard in the South China Sea:what we learned and how to move forward Plain Text - 952.1 KB - MD5: 9d5a9602bb8757a133594484ea64273d
Related Data for: Cities near volcanoes: Which cities are most exposed to volcanic hazards? Aug 12, 2025 - Elinor Siwan MEREDITH Meredith, Elinor S.; Teng, Rui Xue Natalie; Jenkins, Susanna F.; Hayes, Josh L.; Biass, Sébastien; Handley, Heather, 2025, "Related Data for: Cities near volcanoes: Which cities are most exposed to volcanic hazards?", https://doi.org/10.21979/N9/WISBHF, DR-NTU (Data), V1, UNF:6:d7vS2IH8bfyUS5Kd6gfzBA== [fileUNF] This dataset quantifies and ranks global cities located within 100 km of at least one Holocene volcano. Using 2020 urban polygons from the Global Human Settlement Layer (GHS-UCDB) and volcano locations from the Global Volcanism Program, we calculated exposed populations within 10...
Results_2020.tab Aug 12, 2025 - Related Data for: Cities near volcanoes: Which cities are most exposed to volcanic hazards? Tabular Data - 299.4 KB - 31 Variables, 1133 Observations - UNF:6:d7vS2IH8bfyUS5Kd6gfzBA== Data
VolcCities_Dataset_Documentation.txt Aug 12, 2025 - Related Data for: Cities near volcanoes: Which cities are most exposed to volcanic hazards? Plain Text - 2.0 KB - MD5: f56bcd92e4357b71047db195eadbcd52 Documentation
Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data May 20, 2025 - TAN Fangyi Tan, Fangyi; Samanta, Dhrubajyoti, 2025, "Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data", https://doi.org/10.21979/N9/HEXBWR, DR-NTU (Data), V1, UNF:6:Cl3gQnI/p2qdkYLRycqjDQ== [fileUNF] This dataset contains the supplementary files and data that were used to produce the manuscript titled: "Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data".
fig6_temp_ano_2023_0.49m_tim_lat.nc May 20, 2025 - Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data Network Common Data Form - 15.5 KB - MD5: de1ed5eb805b696678725c3c104ed683 Monthly average GLORYS sub-surface (0.5 m depth) temperature anomalies used to produce Fig. 6 (Hovmöller plot of the spatio-temporal evolution of 0.5 m depth temperature anomalies in 2023, averaged over 104°E–120°E). The monthly-averaged GLORYS sub-surface temperature anomalies a...
MESN_SJI_temp_QC1_processed.csv May 20, 2025 - Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data Comma Separated Values - 32.2 KB - MD5: f0b9ff95a0f176d324631f34ce83d612 This dataset contains the in-situ, near-surface ocean temperature data from St. John's Island (SJI), used in Figures 2, 4 and S1. The data were downloaded from the OMBAK platform (https://ombak.mesn.sg/), courtesy of the Singapore Marine Environment Sensing Network (MESN). MESN i...
OISST_GLORYS.tab May 20, 2025 - Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data Tabular Data - 92.7 KB - 6 Variables, 3287 Observations - UNF:6:Cl3gQnI/p2qdkYLRycqjDQ== This dataset contains the Optimally Interpolated SST (OISST) and Global Ocean Physics Reanalysis (GLORYS) sea surface temperature and sea surface salinity data used in Figures 2, 3, 5, S1, and S2.
Satumu_temp.csv May 20, 2025 - Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data Comma Separated Values - 16.6 KB - MD5: 63754d61b9dbf66a72094fb1ff2a12a5 This dataset contains the in-situ, near-surface ocean temperature data from Satumu Island, used in Figures 2, 4 and S1.

sta_0016

Aug 21, 2025 - Replication Data for: An initial assessment of volcanic meteo-tsunami hazard in the South China Sea:what we learned and how to move forward

Plain Text - 952.1 KB -

sta_0016

Aug 21, 2025 - Replication Data for: An initial assessment of volcanic meteo-tsunami hazard in the South China Sea:what we learned and how to move forward

Plain Text - 952.1 KB -

Related Data for: Cities near volcanoes: Which cities are most exposed to volcanic hazards?

Aug 12, 2025 - Elinor Siwan MEREDITH

Meredith, Elinor S.; Teng, Rui Xue Natalie; Jenkins, Susanna F.; Hayes, Josh L.; Biass, Sébastien; Handley, Heather, 2025, "Related Data for: Cities near volcanoes: Which cities are most exposed to volcanic hazards?", https://doi.org/10.21979/N9/WISBHF, DR-NTU (Data), V1, UNF:6:d7vS2IH8bfyUS5Kd6gfzBA== [fileUNF]

This dataset quantifies and ranks global cities located within 100 km of at least one Holocene volcano. Using 2020 urban polygons from the Global Human Settlement Layer (GHS-UCDB) and volcano locations from the Global Volcanism Program, we calculated exposed populations within 10...

Results_2020.tab

Aug 12, 2025 - Related Data for: Cities near volcanoes: Which cities are most exposed to volcanic hazards?

Tabular Data - 299.4 KB - 31 Variables, 1133 Observations -

Data

VolcCities_Dataset_Documentation.txt

Aug 12, 2025 - Related Data for: Cities near volcanoes: Which cities are most exposed to volcanic hazards?

Plain Text - 2.0 KB -

Documentation

Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data

May 20, 2025 - TAN Fangyi

Tan, Fangyi; Samanta, Dhrubajyoti, 2025, "Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data", https://doi.org/10.21979/N9/HEXBWR, DR-NTU (Data), V1, UNF:6:Cl3gQnI/p2qdkYLRycqjDQ== [fileUNF]

This dataset contains the supplementary files and data that were used to produce the manuscript titled: "Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data".

fig6_temp_ano_2023_0.49m_tim_lat.nc

May 20, 2025 - Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data

Network Common Data Form - 15.5 KB -

Monthly average GLORYS sub-surface (0.5 m depth) temperature anomalies used to produce Fig. 6 (Hovmöller plot of the spatio-temporal evolution of 0.5 m depth temperature anomalies in 2023, averaged over 104°E–120°E). The monthly-averaged GLORYS sub-surface temperature anomalies a...

MESN_SJI_temp_QC1_processed.csv

May 20, 2025 - Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data

Comma Separated Values - 32.2 KB -

This dataset contains the in-situ, near-surface ocean temperature data from St. John's Island (SJI), used in Figures 2, 4 and S1. The data were downloaded from the OMBAK platform (https://ombak.mesn.sg/), courtesy of the Singapore Marine Environment Sensing Network (MESN). MESN i...

OISST_GLORYS.tab

May 20, 2025 - Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data

Tabular Data - 92.7 KB - 6 Variables, 3287 Observations -

This dataset contains the Optimally Interpolated SST (OISST) and Global Ocean Physics Reanalysis (GLORYS) sea surface temperature and sea surface salinity data used in Figures 2, 3, 5, S1, and S2.

Satumu_temp.csv

May 20, 2025 - Replication Data for: Reconciling record-breaking ocean temperatures within the Singapore Strait in 2023 with satellite and in-situ data

Comma Separated Values - 16.6 KB -

This dataset contains the in-situ, near-surface ocean temperature data from Satumu Island, used in Figures 2, 4 and S1.

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