DR-NTU (Data)

Metrics

981,506 Downloads

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

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...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications