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1 to 10 of 77 Results

Policy Interventions and Actors Apr 2, 2024 - Innovation for Sustainable Development Policy Actors and Policy Mixes MATUS, Kira; Döme, Viktoria, 2024, "Policy Interventions and Actors", https://doi.org/10.14711/dataset/BOA4GQ, DataSpace@HKUST, V2 This Data set lists all of the policy interventions, their sources, and the policy actors involved in innovation policies that support sustainable development in the 10 OECD countries with population between 4 and 10 million (from 2008-2020). The data covers five sectors: agricul...
Innovation for Sustainable Development Policy Actors and Policy Mixes Mar 25, 2024 A database of innovation policies between 2008 and 2020 that support sustainable development. Includes OECD countries between 4-6million people, plus Central European and Nordic countries, Singapore (for energy sector) and Hong Kong.
Codes for machine learning and Shapley value analysis Mar 18, 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 machine learning and Shapley value analysis", https://doi.org/10.14711/dataset/9ZOATO, DataSpace@HKUST, V2 This dataset contains the codes for machine learning and Shapley value analysis over global land and two single spots (Amazona and Southern New South Wales). We have customized the Shapley Value visualization tools based on the original package, so please update the _beeswarm.py...
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.
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 oxygen uptake and hypoxia in the Pearl River Estuary Region 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...
Sediment oxygen uptake and hypoxia in the Pearl River Estuary Region(Department of Ocean Science, The Hong Kong University of Science and Technology) Mar 11, 2024 In this project, we measure water column and sediment oxygen in the Pearl River Estuary and its adjacent coastal shelf in South China Sea in the summer of 2021 to understand the formation of hypoxia.
Aerosol Nitrogen and Carbon Observation Data at 12 sites of China Mar 5, 2024 - Organic nitrogen (ON), inorganic nitrogen (IN), organic carbon (OC), and elemental carbon (EC) in aerosols collected from 12 sites of China. Yu, Xu; Yu, Jian Zhen, 2024, "Aerosol Nitrogen and Carbon Observation Data at 12 sites of China", https://doi.org/10.14711/dataset/NZEFQG, DataSpace@HKUST, V1, UNF:6:FZrBjT/mMDyhV0jo8DdRiA== [fileUNF] Aerosol Nitrogen and Carbon Observation Data at 12 sites of China
Organic nitrogen (ON), inorganic nitrogen (IN), organic carbon (OC), and elemental carbon (EC) in aerosols collected from 12 sites of China. Mar 5, 2024 This file contains the observation data of organic nitrogen (ON), inorganic nitrogen (IN), organic carbon (OC), and elemental carbon (EC) in aerosols collected from 12 sites of China.
Polyphosphate in the Great Lakes Mar 1, 2024 - Polyphosphate in the Great Lakes Yang, Xingyu; Gao, Rixuan; Huff, Audrey; Katsev, Sergei; Ozersky, Ted; Li, Jiying, 2024, "Polyphosphate in the Great Lakes", https://doi.org/10.14711/dataset/QSK77O, DataSpace@HKUST, V2, UNF:6:/ByaWnMn4/Hta0TJLp2aSQ== [fileUNF] The dataset includes polyphosphate (polyP) data for particulate samples from 13 locations in the Great Lakes. The dataset also includes other related parameters, including particulate phosphorus (PP), chlorophyll-a (Chl-a), activities of alkaline phosphatase (APase), soluble reac...

Policy Interventions and Actors

Apr 2, 2024 - Innovation for Sustainable Development Policy Actors and Policy Mixes

MATUS, Kira; Döme, Viktoria, 2024, "Policy Interventions and Actors", https://doi.org/10.14711/dataset/BOA4GQ, DataSpace@HKUST, V2

This Data set lists all of the policy interventions, their sources, and the policy actors involved in innovation policies that support sustainable development in the 10 OECD countries with population between 4 and 10 million (from 2008-2020). The data covers five sectors: agricul...

Innovation for Sustainable Development Policy Actors and Policy Mixes

Mar 25, 2024

A database of innovation policies between 2008 and 2020 that support sustainable development. Includes OECD countries between 4-6million people, plus Central European and Nordic countries, Singapore (for energy sector) and Hong Kong.

Codes for machine learning and Shapley value analysis

Mar 18, 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 machine learning and Shapley value analysis", https://doi.org/10.14711/dataset/9ZOATO, DataSpace@HKUST, V2

This dataset contains the codes for machine learning and Shapley value analysis over global land and two single spots (Amazona and Southern New South Wales). We have customized the Shapley Value visualization tools based on the original package, so please update the _beeswarm.py...

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.

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 oxygen uptake and hypoxia in the Pearl River Estuary Region

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...

Sediment oxygen uptake and hypoxia in the Pearl River Estuary Region(Department of Ocean Science, The Hong Kong University of Science and Technology)

Mar 11, 2024

In this project, we measure water column and sediment oxygen in the Pearl River Estuary and its adjacent coastal shelf in South China Sea in the summer of 2021 to understand the formation of hypoxia.

Aerosol Nitrogen and Carbon Observation Data at 12 sites of China

Mar 5, 2024 - Organic nitrogen (ON), inorganic nitrogen (IN), organic carbon (OC), and elemental carbon (EC) in aerosols collected from 12 sites of China.

Yu, Xu; Yu, Jian Zhen, 2024, "Aerosol Nitrogen and Carbon Observation Data at 12 sites of China", https://doi.org/10.14711/dataset/NZEFQG, DataSpace@HKUST, V1, UNF:6:FZrBjT/mMDyhV0jo8DdRiA== [fileUNF]

Aerosol Nitrogen and Carbon Observation Data at 12 sites of China

Organic nitrogen (ON), inorganic nitrogen (IN), organic carbon (OC), and elemental carbon (EC) in aerosols collected from 12 sites of China.

Mar 5, 2024

This file contains the observation data of organic nitrogen (ON), inorganic nitrogen (IN), organic carbon (OC), and elemental carbon (EC) in aerosols collected from 12 sites of China.

Polyphosphate in the Great Lakes

Mar 1, 2024 - Polyphosphate in the Great Lakes

Yang, Xingyu; Gao, Rixuan; Huff, Audrey; Katsev, Sergei; Ozersky, Ted; Li, Jiying, 2024, "Polyphosphate in the Great Lakes", https://doi.org/10.14711/dataset/QSK77O, DataSpace@HKUST, V2, UNF:6:/ByaWnMn4/Hta0TJLp2aSQ== [fileUNF]

The dataset includes polyphosphate (polyP) data for particulate samples from 13 locations in the Great Lakes. The dataset also includes other related parameters, including particulate phosphorus (PP), chlorophyll-a (Chl-a), activities of alkaline phosphatase (APase), soluble reac...

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