cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21979/n9/y6aoqh
title: Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space

description: Latent Diffusion Models (LDMs) are known to have an unstable generation process, where even small perturbations or shifts in the input noise can lead to significantly different outputs. This hinders their applicability in applications requiring consistent results. In this work, we redesign LDMs to enhance consistency by making them shift-equivariant. While introducing anti-aliasing operations can partially improve shift-equivariance, significant aliasing and inconsistency persist due to the unique challenges in LDMs, including 1) aliasing amplification during VAE training and multiple U-Net inferences, and 2) self-attention modules that inherently lack shift-equivariance. To address these issues, we redesign the attention modules to be shift-equivariant and propose an equivariance loss that effectively suppresses the frequency bandwidth of the features in the continuous domain. The resulting alias-free LDM (AF-LDM) achieves strong shift-equivariance and is also robust to irregular warping. Extensive experiments demonstrate that AF-LDM produces significantly more consistent results than vanilla LDM across various applications, including video editing and image-to-image translation. Code is available at: https://github.com/SingleZombie/AFLDM
DOI: 10.21979/n9/jkjhnj
title: DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting

description: Recent advances in 3D Gaussian Splatting (3D-GS) have shown remarkable success in representing 3D scenes and generating high-quality, novel views in real-time. However, 3D-GS and its variants assume that input images are captured based on pinhole imaging and are fully in focus. This assumption limits their applicability, as real-world images often feature shallow depth-of-field (DoF). In this paper, we introduce DoF-Gaussian, a controllable depth-of-field method for 3D-GS. We develop a lens-based imaging model based on geometric optics principles to control DoF effects. To ensure accurate scene geometry, we incorporate depth priors adjusted per scene, and we apply defocus-to-focus adaptation to minimize the gap in the circle of confusion. We also introduce a synthetic dataset to assess refocusing capabilities and the model’s ability to learn precise lens parameters. Our framework is customizable and supports various interactive applications. Extensive experiments confirm the effectiveness of our method.
DOI: 10.6084/m9.figshare.30325438.v2
title: Bayero University Kano (BUK) 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: Bayero University Kano (BUK) 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.30325438.v3
title: federal University of Medical and Health Sciences Kwale 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 Medical and Health Sciences Kwale 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.30325438.v4
title: Federal University of Technology, Akure (FUTA) 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 Technology, Akure (FUTA) 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.30325438.v5
title: Federal University of Technology, Minna (FUTMINNA) 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 Technology, Minna (FUTMINNA) 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.30325438.v6
title: Federal University of Technology, Owerri (FUTO) 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 Technology, Owerri (FUTO) 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/ltxkfl
title: NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies

description: This paper tackles the challenges of physics-based simulation of rigid bodies in neural rendering, focusing on 3D model representation and collision handling. A synthetic and real-world dataset is also included in the paper.
DOI: 10.6084/m9.figshare.30325438.v7
title: Federal University, Lafia (FULAFIA) 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, Lafia (FULAFIA) 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/xidxvt
title: Unlocking the Power of SAM 2 for Few-Shot Segmentation

description: Few-Shot Segmentation (FSS) aims to learn class-agnostic segmentation on few classes to segment arbitrary classes, but at the risk of overfitting. To address this, some methods use the well-learned knowledge of foundation models (e.g., SAM) to simplify the learning process. Recently, SAM 2 has extended SAM by supporting video segmentation, whose class-agnostic matching ability is useful to FSS. A simple idea is to encode support foreground (FG) features as memory, with which query FG features are matched and fused. Unfortunately, the FG objects in different frames of SAM 2's video data are always the same identity, while those in FSS are different identities, i.e., the matching step is incompatible. Therefore, we design Pseudo Prompt Generator to encode pseudo query memory, matching with query features in a compatible way. However, the memories can never be as accurate as the real ones, i.e., they are likely to contain incomplete query FG, but some unexpected query background (BG) features, leading to wrong segmentation. Hence, we further design Iterative Memory Refinement to fuse more query FG features into the memory, and devise a Support-Calibrated Memory Attention to suppress the unexpected query BG features in memory. Extensive experiments have been conducted on PASCAL-5i and COCO-20i to validate the effectiveness of our design, e.g., the 1-shot mIoU can be 4.2% better than the best baseline.
DOI: 10.6084/m9.figshare.30325438.v9
title: Federal University, Otuoke (FUOTUOKE) 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, Otuoke (FUOTUOKE) 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.30325438.v8
title: Alex Ekwueme University, Ndufu-Alike 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: Alex Ekwueme University, Ndufu-Alike 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/n9/6wwc6k
title: Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation

description: Multivariate time series forecasting (MTSF) endeavors to predict future observations given historical data, playing a crucial role in time series data management systems. With advancements in large language models (LLMs), recent studies employ textual prompt tuning to infuse the knowledge of LLMs into MTSF. However, the deployment of LLMs often suffers from low efficiency during the inference phase. To address this problem, we introduce TimeKD, an efficient MTSF framework that leverages the calibrated language models and privileged knowledge distillation. TimeKD aims to generate high-quality future representations from the proposed cross-modality teacher model and cultivate an effective student model. The cross-modality teacher model adopts calibrated language models (CLMs) with ground truth prompts, motivated by the paradigm of Learning Under Privileged Information (LUPI). In addition, we design a subtractive cross attention (SCA) mechanism to refine these representations. To cultivate an effective student model, we propose an innovative privileged knowledge distillation (PKD) mechanism including correlation and feature distillation. PKD enables the student to replicate the teacher's behavior while minimizing their output discrepancy. Extensive experiments on real data offer insight into the effectiveness, efficiency, and scalability of the proposed TimeKD.
DOI: 10.21979/n9/i0hoyz
title: Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era

description: The proliferation of edge devices has generated an unprecedented volume of time series data across different domains, motivating various well-customized methods. Recently, Large Language Models (LLMs) have emerged as a new paradigm for time series analytics by leveraging the shared sequential nature of textual data and time series. However, a fundamental cross-modality gap between time series and LLMs exists, as LLMs are pre-trained on textual corpora and are not inherently optimized for time series. Many recent proposals are designed to address this issue. In this survey, we provide an up-to-date overview of LLMs-based cross-modality modeling for time series analytics. We first introduce a taxonomy that classifies existing approaches into four groups based on the type of textual data employed for time series modeling. We then summarize key cross-modality strategies, e.g., alignment and fusion, and discuss their applications across a range of downstream tasks. Furthermore, we conduct experiments on multimodal datasets from different application domains to investigate effective combinations of textual data and cross-modality strategies for enhancing time series analytics. Finally, we suggest several promising directions for future research. This survey is designed for a range of professionals, researchers, and practitioners interested in LLM-based time series modeling.
DOI: 10.5517/ccdc.csd.cc9v09f
title: CCDC 293114: Experimental Crystal Structure Determination

description: Related Article: Zita Tokárová, Róbert Balogh, Pavol Tisovský, Katarína Hrnčariková, Daniel Végh|2017|J.Fluorine Chem.|204|59|doi:10.1016/j.jfluchem.2017.10.006
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/ccr8c4h
title: CCDC 693226: Experimental Crystal Structure Determination

description: Related Article: Afshan Banu, D.E. Vasundhara, Ravi S. Lamani, I.A.M. Khazi, Noor Shahina Begum|2013|J.Saudi Chem.Soc.|17|211|doi:10.1016/j.jscs.2011.03.010
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/ccs6xc7
title: CCDC 721629: Experimental Crystal Structure Determination

description: Related Article: DandanLiu, Jingbo Chen, Long Ai, Hongbin Zhang, Jianping Liu|2013|Org.Lett.|15|410|doi:10.1021/ol3034093
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/ccqy560
title: CCDC 683432: Experimental Crystal Structure Determination

description: Related Article: Wendy A. Loughlin, Stephanie S. Schweiker, Ian D. Jenkins, Luke C. Henderson|2013|Tetrahedron|69|1576|doi:10.1016/j.tet.2012.12.004
description: Related Article: W.A.Loughlin, L.C.Henderson, P.C.Healy|2008|CSD Communication|||
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/ccsbgcx
title: CCDC 725039: Experimental Crystal Structure Determination

description: Related Article: Afshan Banu, D.E. Vasundhara, Ravi S. Lamani, I.A.M. Khazi, Noor Shahina Begum|2013|J.Saudi Chem.Soc.|17|211|doi:10.1016/j.jscs.2011.03.010
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/cctm3yg
title: CCDC 763156: Experimental Crystal Structure Determination

description: Related Article: Qing-Bin Li, Ling-Wei Xue, Wei-Chun Yang, Gan-Qing Zhao|2013|J.Chil.Chem.Soc.|58|1880|doi:10.4067/S0717-97072013000300019
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/ccttly4
title: CCDC 769387: Experimental Crystal Structure Determination

description: Related Article: Alper Yardan, Ahmet Karahan, N. Burcu Arslan, Cigdem Hopa, Mukadderat Gokmen, Canan Kazak, Raif Kurtaran|2015|Synth.React.Inorg.,Met.-Org.,Nano-Met.Chem.|45|1224|doi:10.1080/15533174.2013.862679
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/ccvd9m4
title: CCDC 786396: Experimental Crystal Structure Determination

description: Related Article: Khodayar Gholivand,  Nasrin Oroujzadeh,  Maryam Rajabi|2012|J.Iran.Chem.Soc.|9|865|doi:10.1007/s13738-012-0103-6
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/ccvd9l3
title: CCDC 786395: Experimental Crystal Structure Determination

description: Related Article: Khodayar Gholivand,  Nasrin Oroujzadeh,  Maryam Rajabi|2012|J.Iran.Chem.Soc.|9|865|doi:10.1007/s13738-012-0103-6
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: 10.7910/dvn/lvolep
title: Food Security Simulator – Ethiopia

description: The Food Security Simulator Ethiopia (FSS-ETH) is an innovative and easy-to-use, MS-Excel-based tool for assessing the potential short-term impacts of food price or household income shocks, along with changes in preferences, on food security and people’s diets. The Simulator is an ideal tool for first-cut forward-looking evaluations of direct, household-level outcomes of economic crises and policy responses in a timely manner. The tool allows users to enter positive and negative price or income changes in percentage terms and provides simulated changes for a diverse set of food-consumption- and diet-quality-related indicators. In addition to detailed tabular presentations of all simulation results by household income quintile and residential area, key indicator results are summarized in concise overview tables and visualized in graphs for easy export and use in reports. The underlying data include estimates from representative household survey data and rigorous, sophisticated food demand models to capture consumer behavior.
description: EXCEL, 2016
description: Country Level
description: This tool will only function properly if both Excel files are downloaded together, removed from the zip folder, and are saved in the same, new folder.
DOI: 10.5517/ccdc.csd.ccwkpps
title: CCDC 821366: Experimental Crystal Structure Determination

description: Related Article: Samson Jegan Jennifer, Packianathan Thomas Muthiah|2013|Chem.Cent.J.|7|139|doi:10.1186/1752-153X-7-139
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.ccwkpqt
title: CCDC 821367: Experimental Crystal Structure Determination

description: Related Article: Samson Jegan Jennifer, Packianathan Thomas Muthiah|2013|Chem.Cent.J.|7|139|doi:10.1186/1752-153X-7-139
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.ccwkpnr
title: CCDC 821365: Experimental Crystal Structure Determination

description: Related Article: Samson Jegan Jennifer, Packianathan Thomas Muthiah|2013|Chem.Cent.J.|7|139|doi:10.1186/1752-153X-7-139
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/ccx3819
title: CCDC 837280: Experimental Crystal Structure Determination

description: Related Article: Zhijie Weng, Yongyong Zheng,Jianqi Li|2015|Chem.Biol.Drug.Des.|85|454|doi:10.1111/cbdd.12438
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.