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Publication Year: 2025

7,681 to 7,690 of 8,615 Results

Stitched.czi Mar 22, 2025 - Replication Data for: Confocal images of optodroplet system of various c-MYC constructs Unknown - 88.3 MB - MD5: 02bee4f873502648caca8558643a3201
Ruchi CHOUDHARY(Nanyang Technological University) Mar 22, 2025School of Biological Sciences (SBS) Appointment: Research Fellow
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
Vegetation_final.tab Mar 20, 2025 - Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types Tabular Data - 23.4 KB - 7 Variables, 420 Observations - UNF:6:0DkM7ZAYyHeq5zVWRZ/nKg==
WD_final.tab Mar 20, 2025 - Replication Data for: Ecological drivers of nutrient runoff from natural and managed vegetation types Tabular Data - 1.5 KB - 6 Variables, 28 Observations - UNF:6:j5MOEL0kdIYBo6RXX1M3Bg==
SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images Mar 19, 2025 - S-Lab for Advanced Intelligence Jin, Daisheng; Hu, Jiangbei; Xu, Baixin; Dai, Yuxin; Qian, Chen; He, Ying, 2025, "SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images", https://doi.org/10.21979/N9/3DCDXV, DR-NTU (Data), V1 In this study, we introduce a novel two-stage technique for decomposing and reconstructing facial features from sparse-view images, a task made challenging by the unique geometry and complex skin reflectance of each individual. To synthesize 3D facial models more realistically, w...
Disco4D: Disentangled 4D Human Generation and Animation from a Single Image Mar 19, 2025 - S-Lab for Advanced Intelligence Pang, Hui En; Liu, Shuai; Cai, Zhongang; Lei, Yang; Zhang, Tianwei; Liu, Ziwei, 2025, "Disco4D: Disentangled 4D Human Generation and Animation from a Single Image", https://doi.org/10.21979/N9/VX5WAH, DR-NTU (Data), V1 We present Disco4D, a novel Gaussian Splatting framework for 4D human generation and animation from a single image. Different from existing methods, Disco4D distinctively disentangles clothings (with Gaussian models) from the human body (with SMPL-X model), significantly enhancin...

Stitched.czi

Mar 22, 2025 - Replication Data for: Confocal images of optodroplet system of various c-MYC constructs

Unknown - 88.3 MB -

Ruchi CHOUDHARY(Nanyang Technological University)

Mar 22, 2025School of Biological Sciences (SBS)

Appointment: Research Fellow

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 -

Vegetation_final.tab

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

Tabular Data - 23.4 KB - 7 Variables, 420 Observations -

WD_final.tab

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

Tabular Data - 1.5 KB - 6 Variables, 28 Observations -

SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images

Mar 19, 2025 - S-Lab for Advanced Intelligence

Jin, Daisheng; Hu, Jiangbei; Xu, Baixin; Dai, Yuxin; Qian, Chen; He, Ying, 2025, "SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images", https://doi.org/10.21979/N9/3DCDXV, DR-NTU (Data), V1

In this study, we introduce a novel two-stage technique for decomposing and reconstructing facial features from sparse-view images, a task made challenging by the unique geometry and complex skin reflectance of each individual. To synthesize 3D facial models more realistically, w...

Disco4D: Disentangled 4D Human Generation and Animation from a Single Image

Mar 19, 2025 - S-Lab for Advanced Intelligence

Pang, Hui En; Liu, Shuai; Cai, Zhongang; Lei, Yang; Zhang, Tianwei; Liu, Ziwei, 2025, "Disco4D: Disentangled 4D Human Generation and Animation from a Single Image", https://doi.org/10.21979/N9/VX5WAH, DR-NTU (Data), V1

We present Disco4D, a novel Gaussian Splatting framework for 4D human generation and animation from a single image. Different from existing methods, Disco4D distinctively disentangles clothings (with Gaussian models) from the human body (with SMPL-X model), significantly enhancin...

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