DataSpace@HKUST

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Publication Year: 2024

461 to 470 of 485 Results

point_shap_ffdi_bar_plot.py Mar 15, 2024 - Codes for machine learning and Shapley value analysis Python Source Code - 5.4 KB - MD5: 1a0fc7eab52989ff694281df4f4d781c
point_shap_ffdi.py Mar 15, 2024 - Codes for machine learning and Shapley value analysis Python Source Code - 6.7 KB - MD5: bba342d728bd7bb0a369eda9a71fac8f
point_shap_fwi_bar_plot.py Mar 15, 2024 - Codes for machine learning and Shapley value analysis Python Source Code - 5.4 KB - MD5: b28274ad1801a31b76a448f3ae27ba48
point_shap_fwi.py Mar 15, 2024 - Codes for machine learning and Shapley value analysis Python Source Code - 6.7 KB - MD5: 27579b79c257e3e67f1df5828476db63
Codes for generating FFDI and FWI Mar 15, 2024 - Evaluating two wildfire indices and projecting future risks based on CMIP6 multi-model projections HE, Yan; ZHOU, Zixuan; IM, Eun-Soon, 2024, "Codes for generating FFDI and FWI", https://doi.org/10.14711/dataset/K1IHCP, DataSpace@HKUST, V1 This dataset contains the calculation codes of FFDI and FWI.
Source_code_cffwi.py Mar 15, 2024 - Codes for generating FFDI and FWI Python Source Code - 58.9 KB - MD5: 85d48988c3775dc1ece0878d027db12d
Source_code_ffdi.py Mar 15, 2024 - Codes for generating FFDI and FWI Python Source Code - 13.1 KB - MD5: 59d339eb0a2a02674df1d97f5fc9a48e
Evaluating two wildfire indices and projecting future risks based on CMIP6 multi-model projections Mar 15, 2024 This research project was initiated to investigate and predict wildfire risk under climate change through a comparative analysis of two different wildfire indices, based on the Coupled Model Intercomparison Project Phase 6 multi-model ensemble. This dataverse will store the sourc...
Sediment oxygen uptake and hypoxia in the Pearl River Estuary Region Mar 11, 2024 - Sediment biogeochemistry in the Pearl River Estuary Region: carbon, nitrogen, and phosphorus cycling LI, Jiying; SUN, Jing; YU, Liuqian; GAN, Jianping; YANG, Xingyu, 2024, "Sediment oxygen uptake and hypoxia in the Pearl River Estuary Region", https://doi.org/10.14711/dataset/KCLUQW, DataSpace@HKUST, V1, UNF:6:CkRCkLArRYmQqn66DS8NQw== [fileUNF] The dataset includes sediment oxygen uptake, sediment oxygen profiles, sediment oxygen penetration depth, water column CTD profiles (temperature, salinity, sigma density, oxygen, and chlorophyll a), and buoyance frequency (N2) from the Pearl River Estuary and adjacent coastal she...
CoastalOcean_WaterSedO2.tab Mar 11, 2024 - Sediment oxygen uptake and hypoxia in the Pearl River Estuary Region Tabular Data - 10.4 KB - 16 Variables, 77 Observations - UNF:6:h0Pbyndrc1be6vmQFkeOeg== Water and sediment oxygen data in coastal oceans

point_shap_ffdi_bar_plot.py

Mar 15, 2024 - Codes for machine learning and Shapley value analysis

Python Source Code - 5.4 KB -

point_shap_ffdi.py

Mar 15, 2024 - Codes for machine learning and Shapley value analysis

Python Source Code - 6.7 KB -

point_shap_fwi_bar_plot.py

Mar 15, 2024 - Codes for machine learning and Shapley value analysis

Python Source Code - 5.4 KB -

point_shap_fwi.py

Mar 15, 2024 - Codes for machine learning and Shapley value analysis

Python Source Code - 6.7 KB -

Codes for generating FFDI and FWI

Mar 15, 2024 - Evaluating two wildfire indices and projecting future risks based on CMIP6 multi-model projections

HE, Yan; ZHOU, Zixuan; IM, Eun-Soon, 2024, "Codes for generating FFDI and FWI", https://doi.org/10.14711/dataset/K1IHCP, DataSpace@HKUST, V1

This dataset contains the calculation codes of FFDI and FWI.

Source_code_cffwi.py

Mar 15, 2024 - Codes for generating FFDI and FWI

Python Source Code - 58.9 KB -

Source_code_ffdi.py

Mar 15, 2024 - Codes for generating FFDI and FWI

Python Source Code - 13.1 KB -

Evaluating two wildfire indices and projecting future risks based on CMIP6 multi-model projections

Mar 15, 2024

This research project was initiated to investigate and predict wildfire risk under climate change through a comparative analysis of two different wildfire indices, based on the Coupled Model Intercomparison Project Phase 6 multi-model ensemble. This dataverse will store the sourc...

Sediment oxygen uptake and hypoxia in the Pearl River Estuary Region

Mar 11, 2024 - Sediment biogeochemistry in the Pearl River Estuary Region: carbon, nitrogen, and phosphorus cycling

LI, Jiying; SUN, Jing; YU, Liuqian; GAN, Jianping; YANG, Xingyu, 2024, "Sediment oxygen uptake and hypoxia in the Pearl River Estuary Region", https://doi.org/10.14711/dataset/KCLUQW, DataSpace@HKUST, V1, UNF:6:CkRCkLArRYmQqn66DS8NQw== [fileUNF]

The dataset includes sediment oxygen uptake, sediment oxygen profiles, sediment oxygen penetration depth, water column CTD profiles (temperature, salinity, sigma density, oxygen, and chlorophyll a), and buoyance frequency (N2) from the Pearl River Estuary and adjacent coastal she...

CoastalOcean_WaterSedO2.tab

Mar 11, 2024 - Sediment oxygen uptake and hypoxia in the Pearl River Estuary Region

Tabular Data - 10.4 KB - 16 Variables, 77 Observations -

Water and sediment oxygen data in coastal oceans

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