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191 to 200 of 14,175 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: 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
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
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.
SILO_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 - 106.1 KB - MD5: b78a02bd5822bccdc6949f70655c10a8
This dataset contains the in-situ, near-surface ocean temperature data from Siloso Point (SILO), Sentosa, used in Figures 2, 4 and S1.
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