cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30325504.v17
title: Federal University of Agriculture, Mubi 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department

description: Federal University of Agriculture, Mubi 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department
DOI: 10.21979/n9/t3aga8
title: Replication Data for: Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images

description: While 3D head reconstruction is widely used for modeling, existing neural reconstruction approaches rely on high-resolution multi-view images, posing notable privacy issues. Individuals are particularly sensitive to facial features, and facial image leakage can lead to many malicious activities, such as unauthorized tracking and deepfake. In contrast, geometric data is less susceptible to misuse due to its complex processing requirements, and absence of facial texture features. In this paper, we propose a novel two-stage 3D facial reconstruction method aimed at avoiding exposure to sensitive facial information while preserving detailed geometric accuracy. Our approach first uses non-sensitive rear-head images for initial geometry and then refines this geometry using processed privacy-removed gradient images. Extensive experiments show that the resulting geometry is comparable to methods using full images, while the process is resistant to DeepFake applications and facial recognition (FR) systems, thereby proving its effectiveness in privacy protection.
DOI: 10.21979/n9/4yscml
title: Learning 3D Garment Animation from Trajectories of A Piece of Cloth

description: Garment animation is ubiquitous in various applications, such as virtual reality, gaming, and film producing. Recently, learning-based approaches obtain compelling performance in animating diverse garments under versatile scenarios. Nevertheless, to mimic the deformations of the observed garments, data-driven methods require large scale of garment data, which are both resource-wise expensive and time-consuming. In addition, forcing models to match the dynamics of observed garment animation may hinder the potentials to generalize to unseen cases. In this paper, instead of using garment-wise supervised-learning we adopt a disentangled scheme to learn how to animate observed garments: 1). learning constitutive behaviors from the observed cloth; 2). dynamically animate various garments constrained by the learned constitutive laws. Specifically, we propose Energy Unit network (EUNet) to model the constitutive relations in the format of energy. Without the priors from analytical physics models and differentiable simulation engines, EUNet is able to directly capture the constitutive behaviors from the observed piece of cloth and uniformly describes the change of energy caused by deformations, such as stretching and bending. We further apply the pre-trained EUNet to animate various garments based on energy optimizations. The disentangled scheme alleviates the need of garment data and enables us to utilize the dynamics of a piece of cloth for animating garments. Experiments show that while EUNet effectively delivers the energy gradients due to the deformations, models constrained by EUNet achieve more stable and physically plausible performance comparing with those trained in garment-wise supervised manner.
DOI: 10.6084/m9.figshare.30325504.v18
title: Federal University of Health Sciences, Katsina 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department

description: Federal University of Health Sciences, Katsina 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department
DOI: 10.6084/m9.figshare.30325504.v19
title: National University of Science and Technology, Abuja 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department

description: National University of Science and Technology, Abuja 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department
DOI: 10.21979/n9/qh6qzn
title: KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

description: Sensors are commonly deployed to perceive the environment. However, due to the high cost, sensors are usually sparsely deployed. Kriging is the tailored task to infer the unobserved nodes (without sensors) using the observed nodes (with sensors). The essence of kriging task is transferability. Recently, several inductive spatio-temporal kriging methods have been proposed based on graph neural networks, being trained based on a graph built on top of observed nodes via pretext tasks such as masking nodes out and reconstructing them. However, the graph in training is inevitably much sparser than the graph in inference that includes all the observed and unobserved nodes. The learned pattern cannot be well generalized for inference, denoted as graph gap. To address this issue, we first present a novel Increment training strategy: instead of masking nodes (and reconstructing them), we add virtual nodes into the training graph so as to mitigate the graph gap issue naturally. Nevertheless, the empty-shell virtual nodes without labels could have inferior features and lack supervision signals. To solve these issues, we pair each virtual node with its most similar observed node and fuse their features together; to enhance the supervision signal, we construct reliable pseudo labels for virtual nodes. As a result, the learned pattern of virtual nodes could be safely transferred to real unobserved nodes for reliable kriging. We name our new Kriging model with Increment Training Strategy as KITS. Extensive experiments demonstrate that KITS consistently outperforms existing methods by large margins, e.g., the improvement over MAE score could be as high as 18.33%.
DOI: 10.5281/zenodo.17307261
title: Dataset of deepspat examples
DOI: 10.5281/zenodo.17307262
title: Dataset of deepspat examples
DOI: 10.18112/openneuro.ds006768.v1.0.0
title: Multiple Object Monitoring (EEG)
DOI: 10.5517/ccdc.csd.cc637j1
title: CCDC 181862: Experimental Crystal Structure Determination

description: Related Article: Jeffrey T. Bagdanoff, Douglas C. Behenna, Jennifer L. Stockdill and Brian M. Stoltz|2016|Eur.J.Org.Chem.|2016|2101|doi:10.1002/ejoc.201600223
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccn7kbr
title: CCDC 603084: Experimental Crystal Structure Determination

description: Related Article: T. Chimsook, T. Teerawatananond, N. Ngamrojnavanich, N. Chaichit, P. Kongsaeree, N. Muangsin|2013|J.Mol.Struct.|1054|188|doi:10.1016/j.molstruc.2013.08.053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccn7k8p
title: CCDC 603082: Experimental Crystal Structure Determination

description: Related Article: T. Chimsook, T. Teerawatananond, N. Ngamrojnavanich, N. Chaichit, P. Kongsaeree, N. Muangsin|2013|J.Mol.Struct.|1054|188|doi:10.1016/j.molstruc.2013.08.053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccn7k9q
title: CCDC 603083: Experimental Crystal Structure Determination

description: Related Article: T. Chimsook, T. Teerawatananond, N. Ngamrojnavanich, N. Chaichit, P. Kongsaeree, N. Muangsin|2013|J.Mol.Struct.|1054|188|doi:10.1016/j.molstruc.2013.08.053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccn7k7n
title: CCDC 603081: Experimental Crystal Structure Determination

description: Related Article: T. Chimsook, T. Teerawatananond, N. Ngamrojnavanich, N. Chaichit, P. Kongsaeree, N. Muangsin|2013|J.Mol.Struct.|1054|188|doi:10.1016/j.molstruc.2013.08.053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccrv5rh
title: CCDC 710357: Experimental Crystal Structure Determination

description: Related Article: Rui Rui Zhuang, Fang Fang Jian and KeFei Wang|2009|Sci.Technol.Adv.Mater.|10|045001|doi:10.1088/1468-6996/10/4/045001
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccspb81
title: CCDC 735483: Experimental Crystal Structure Determination

description: Related Article: R. Prabhakaran, P. Kalaivani, K. Senthilkumar, K. Natarajan|2016|J.Organomet.Chem.|825-826|83|doi:10.1016/j.jorganchem.2016.10.033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccspb70
title: CCDC 735482: Experimental Crystal Structure Determination

description: Related Article: R. Prabhakaran, P. Kalaivani, K. Senthilkumar, K. Natarajan|2016|J.Organomet.Chem.|825-826|83|doi:10.1016/j.jorganchem.2016.10.033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccv04yx
title: CCDC 774719: Experimental Crystal Structure Determination

description: Related Article: Reza Golbedaghi, Somaeyh Moradi, Sadegh Salehzadeh, Allan G. Blackman|2016|J.Mol.Struct.|1108|727|doi:10.1016/j.molstruc.2015.12.052
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccvb8gw
title: CCDC 784438: Experimental Crystal Structure Determination

description: Related Article: K. Ramalingam, S. Srinivasan, R. Ethirajavalli, C. Rizzoli|2016|Polyhedron|104|138|doi:10.1016/j.poly.2015.11.045
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccwhb4t
title: CCDC 819086: Experimental Crystal Structure Determination

description: Related Article: Guoying Zhang, Bin Ding, Lu Chai, Zheng Niu, Lin Yuan, Nanfu Yan, Xuefang Shi|2014|Z.Anorg.Allg.Chem.|640|2492|doi:10.1002/zaac.201400212
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccwhb5v
title: CCDC 819087: Experimental Crystal Structure Determination

description: Related Article: Guoying Zhang, Bin Ding, Lu Chai, Zheng Niu, Lin Yuan, Nanfu Yan, Xuefang Shi|2014|Z.Anorg.Allg.Chem.|640|2492|doi:10.1002/zaac.201400212
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccwl890
title: CCDC 821912: Experimental Crystal Structure Determination

description: Related Article: Lingling Zhang, Xiubo Wang, Ming Hu|2014|Inorg.Chem.Commun.|45|75|doi:10.1016/j.inoche.2014.04.009
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21979/n9/2zlryg
title: I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models

description: The remarkable generative capabilities of diffusion models have motivated extensive research in both image and video editing. Compared to video editing which faces additional challenges in the time dimension, image editing has witnessed the development of more diverse, high-quality approaches and more capable software like Photoshop. In light of this gap, we introduce a novel and generic solution that extends the applicability of image editing tools to videos by propagating edits from a single frame to the entire video using a pre-trained image-to-video model. Our method, dubbed I2VEdit, adaptively preserves the visual and motion integrity of the source video depending on the extent of the edits, effectively handling global edits, local edits, and moderate shape changes, which existing methods cannot fully achieve. At the core of our method are two main processes: Coarse Motion Extraction to align basic motion patterns with the original video, and Appearance Refinement for precise adjustments using fine-grained attention matching. We also incorporate a skip-interval strategy to mitigate quality degradation from auto-regressive generation across multiple video clips. Experimental results demonstrate our framework’s superior performance in fine-grained video editing, proving its capability to produce high-quality, temporally consistent outputs.
DOI: 10.5517/ccwpclh
title: CCDC 824897: Experimental Crystal Structure Determination

description: Related Article: Lingling Zhang, Xiubo Wang, Ming Hu|2014|Inorg.Chem.Commun.|45|75|doi:10.1016/j.inoche.2014.04.009
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccwzp2l
title: CCDC 833840: Experimental Crystal Structure Determination

description: Related Article: Jian Huang, Gang Wu, Jiaquan Bai, Yuan Jiang, Guanghua Li, Shilun Qiu, and Rodolphe Clérac|2013|Inorg.Chem.|52|11051|doi:10.1021/ic401269p
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccx0td3
title: CCDC 834935: Experimental Crystal Structure Determination

description: Related Article: Jian Huang, Gang Wu, Jiaquan Bai, Yuan Jiang, Guanghua Li, Shilun Qiu, and Rodolphe Clérac|2013|Inorg.Chem.|52|11051|doi:10.1021/ic401269p
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccx1558
title: CCDC 835269: Experimental Crystal Structure Determination

description: Related Article: Jian Huang, Gang Wu, Jiaquan Bai, Yuan Jiang, Guanghua Li, Shilun Qiu, and Rodolphe Clérac|2013|Inorg.Chem.|52|11051|doi:10.1021/ic401269p
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccx81x3
title: CCDC 841895: Experimental Crystal Structure Determination

description: Related Article: Yan Yang, Chang-Gui Li, Xu-Jian Luo, Zhi-Hui Luo, Rong-Jun Liu, Yue-Xiu Jiang, Wei-Jiang Liang|2016|Synth.React.Inorg.,Met.-Org.,Nano-Met.Chem.|46|1376|doi:10.1080/15533174.2015.1069848
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccxdbk5
title: CCDC 846007: Experimental Crystal Structure Determination

description: Related Article: Shengying Wu, Jun Tang, Jianwei Han, Dan Mao, Xin Liu, Xing Gao, Jianjun Yu, Limin Wang|2014|Tetrahedron|70|5986|doi:10.1016/j.tet.2014.05.085
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccxjxv5
title: CCDC 850418: Experimental Crystal Structure Determination

description: Related Article: Fan Cao, Suna Wang, Dacheng Li, Suyuan Zeng, Meiju Niu, You Song, and Jianmin Dou|2013|Inorg.Chem.|52|10747|doi:10.1021/ic3025952
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccxjxs3
title: CCDC 850416: Experimental Crystal Structure Determination

description: Related Article: Fan Cao, Suna Wang, Dacheng Li, Suyuan Zeng, Meiju Niu, You Song, and Jianmin Dou|2013|Inorg.Chem.|52|10747|doi:10.1021/ic3025952
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccxjxt4
title: CCDC 850417: Experimental Crystal Structure Determination

description: Related Article: Fan Cao, Suna Wang, Dacheng Li, Suyuan Zeng, Meiju Niu, You Song, and Jianmin Dou|2013|Inorg.Chem.|52|10747|doi:10.1021/ic3025952
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccxjxr2
title: CCDC 850415: Experimental Crystal Structure Determination

description: Related Article: Fan Cao, Suna Wang, Dacheng Li, Suyuan Zeng, Meiju Niu, You Song, and Jianmin Dou|2013|Inorg.Chem.|52|10747|doi:10.1021/ic3025952
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccxqns1
title: CCDC 855934: Experimental Crystal Structure Determination

description: Related Article: Jian Huang, Gang Wu, Jiaquan Bai, Yuan Jiang, Guanghua Li, Shilun Qiu, and Rodolphe Clérac|2013|Inorg.Chem.|52|11051|doi:10.1021/ic401269p
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.