Earth Observatory of Singapore (EOS)

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

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201 to 210 of 14,423 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: 57f7da810c3b4251c29145dbf2b535f4
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: 94f08b581838bd2555db86ae6ee1423c
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...

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 -

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...

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