Asian School of the Environment (ASE)

This dataverse is a collection of the Asian School of the Environment’s research data.

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521 to 530 of 4,499 Results

step0.vtk Jun 26, 2025 - Replication Data for: PyQuake3D Unknown - 71.8 MB - MD5: 7350d8cf899749ae8b4feb6515c7a478
TDstressFS_C.cpp Jun 26, 2025 - Replication Data for: PyQuake3D C++ Source - 105.4 KB - MD5: 7a002db0e76a794b2d08c6115026435f
TDstressFS_C.so Jun 26, 2025 - Replication Data for: PyQuake3D Unknown - 132.8 KB - MD5: e4644fc3749686aba39f698e97c70056
turkey_displacement.png Jun 26, 2025 - Replication Data for: PyQuake3D PNG Image - 1.7 MB - MD5: b1341a76e920e6cf42da9f2ddafaf569
turkey.msh Jun 26, 2025 - Replication Data for: PyQuake3D model/mesh - 2.0 MB - MD5: 795e6a79897a2748a94c8e7e6a2ccdd2
update.sample Jun 26, 2025 - Replication Data for: PyQuake3D Unknown - 3.6 KB - MD5: 647ae13c682f7827c22f5fc08a03674e
Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types Mar 20, 2025 - Weng Ngai LAM Lam, Weng Ngai, 2025, "Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types", https://doi.org/10.21979/N9/U9KAIH, DR-NTU (Data), V1, UNF:6:NKr4dLKhdZeTkrAyseNURw== [fileUNF] Tree inventory, tree wood densities, litterfall production, and litter trait data.
CHN data_final.tab Mar 20, 2025 - Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types Tabular Data - 8.7 KB - 28 Variables, 46 Observations - UNF:6:Fyy7LEmvyylYN4gUf3KGOg==
Litterfall production data_final.tab Mar 20, 2025 - Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types Tabular Data - 43.3 KB - 5 Variables, 842 Observations - UNF:6:D3QZbdbBTvXqLGj6TD3qUg==
trap litterfall rates_final.csv Mar 20, 2025 - Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types Comma Separated Values - 4.1 KB - MD5: 625fed9bf2aabe19cc7d0a1e80890534

step0.vtk

Jun 26, 2025 - Replication Data for: PyQuake3D

Unknown - 71.8 MB -

TDstressFS_C.cpp

Jun 26, 2025 - Replication Data for: PyQuake3D

C++ Source - 105.4 KB -

TDstressFS_C.so

Jun 26, 2025 - Replication Data for: PyQuake3D

Unknown - 132.8 KB -

turkey_displacement.png

Jun 26, 2025 - Replication Data for: PyQuake3D

PNG Image - 1.7 MB -

turkey.msh

Jun 26, 2025 - Replication Data for: PyQuake3D

model/mesh - 2.0 MB -

update.sample

Jun 26, 2025 - Replication Data for: PyQuake3D

Unknown - 3.6 KB -

Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types

Mar 20, 2025 - Weng Ngai LAM

Lam, Weng Ngai, 2025, "Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types", https://doi.org/10.21979/N9/U9KAIH, DR-NTU (Data), V1, UNF:6:NKr4dLKhdZeTkrAyseNURw== [fileUNF]

Tree inventory, tree wood densities, litterfall production, and litter trait data.

CHN data_final.tab

Mar 20, 2025 - Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types

Tabular Data - 8.7 KB - 28 Variables, 46 Observations -

Litterfall production data_final.tab

Mar 20, 2025 - Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types

Tabular Data - 43.3 KB - 5 Variables, 842 Observations -

trap litterfall rates_final.csv

Mar 20, 2025 - Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types

Comma Separated Values - 4.1 KB -

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