51 to 60 of 3,304 Results
Dec 17, 2025 - NIE Data Repository (Harvested)
Ow-Yeong, Yook Kit; Yeter, Ibrahim H.; Farhan Ali, 2025, "Related Data for: Learning data science in elementary school mathematics: A comparative curriculum analysis", https://doi.org/10.25340/R4/YVQMVF
Background Data literacy is increasingly important in today’s data-driven world. Students across many educational systems first formally learn about data in elementary school not as a separate subject but via the mathematics curriculum. This experience can create tensions in the...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Dec 17, 2025 - NIE Data Repository (Harvested)
Farhan Ali; Ang, Rebecca P., 2025, "Related Data for: Predicting how well adolescents get along with peers and teachers: A machine learning approach", https://doi.org/10.25340/R4/SA2FV8
How well adolescents get along with others such as peers and teachers is an important aspect of adolescent development. Current research on adolescent relationship with peers and teachers is limited by classical methods that lack explicit test of predictive performance and cannot...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Dec 12, 2025 - WONG Minn Lin
Wong, Minn Lin; Wang, Xianfeng, 2025, "Related Data for: The relative impacts of tropical Pacific teleconnections and local insolation on mid-Holocene precipitation over tropical South America", https://doi.org/10.21979/N9/36WXN5, DR-NTU (Data), V1
This dataset consists of simulation output generated using an atmospheric general circulation model, the ECHAM4.6. It includes monthly precipitation and annual precipitation δ¹⁸O fields from four ECHAM4.6 simulations. These experiments were designed to isolate the relative effect... |
Dec 12, 2025 - SONG Justin Chien Wen
Song, Justin Chien Wen, 2025, "Replication Data for: Nonlinear Superconducting Magnetoelectric Effect", https://doi.org/10.21979/N9/MSKDST, DR-NTU (Data), V1
Data files for "Nonlinear Superconducting Magnetoelectric Effect" |
Dec 12, 2025 - SONG Justin Chien Wen
Song, Justin Chien Wen, 2025, "Replication Data for: Metallic electro-optic effect in gapped bilayer graphene", https://doi.org/10.21979/N9/CWRAFF, DR-NTU (Data), V1
Data files for figures in "Metallic electro-optic effect in gapped bilayer graphene" |
Dec 12, 2025 - SONG Justin Chien Wen
Song, Justin Chien Wen, 2025, "Replication Data for: Antiscreening and Nonequilibrium Layer Electric Phases in Graphene Multilayers", https://doi.org/10.21979/N9/RHCJFN, DR-NTU (Data), V1
Data files for figures in "Antiscreening and Nonequilibrium Layer Electric Phases in Graphene Multilayers" |
Dec 10, 2025 - Junqi ZHAO
Chinchure, Aditya; Ravi, Sahithya; Ng, Raymond; Shwartz, Vered; Li, Boyang; Sigal, Leonid, 2025, "Replication Data for: Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events", https://doi.org/10.21979/N9/HOAFUL, DR-NTU (Data), V1
BlackSwanSuite is a benchmark for evaluating VLMs’ ability to reason about unexpected events through abductive and defeasible tasks. The tasks either artificially limit the amount of visual information provided to models while questioning them about hidden unexpected events, or p... |
Dec 10, 2025 - Junqi ZHAO
Zhang, Wenyu; Ng, Wei En; Ma, Lixin; Wang, Yuwen; Zhao, Junqi; Koenecke, Allison; Li, Boyang; Wang, Lu, 2025, "Replication Data for: SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models", https://doi.org/10.21979/N9/HI9OFD, DR-NTU (Data), V2
SPHERE (Spatial Perception and Hierarchical Evaluation of Reasoning) is a hierarchical evaluation framework built on a new human-annotated dataset of 2,285 question–answer pairs. It systematically probes models across increasing levels of complexity, from fundamental skills to mu... |
Dec 10, 2025 - Junqi ZHAO
Tiong, Anthony Meng Huat; Zhao, Junqi; Li, Boyang; Li, Junnan; Hoi, Steven C.H.; Xiong, Caiming, 2025, "Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases", https://doi.org/10.21979/N9/SL0VV1, DR-NTU (Data), V1
The OLIVE dataset is a highly diverse, human-corrected multi-modal collection designed to simulate the variety and idiosyncrasies of user queries vision-language models (VLMs) face in real-world scenarios. It supports the training and evaluation of VLMs in conditions that more cl... |
