cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8419361
title: Pharmacogenomics datasets for Ontology Matching

description: <strong>Pharmacogenomics datasets for Ontology Matching</strong> Pharmacogenomics (or PGx for short) involves n-ary tuples representing so-called "pharmacogenomic relationships" and their components of three distinct types: drugs, genetic factors, and phenotypes. Tuples are reified as instances of the class ``pgxo:PharmacogenomicRelationship``. The goal of the matching task is to match these tuples (instance matching). Motivation: Pharmacogenomic tuples involve drugs, genetic factors, and phenotypes, and state that patients being treated by the specified drugs while having the specified genetic factors may experience the given phenotypes. Knowledge in pharmacogenomics is scattered across several resources, e.g., reference databases (PharmGKB) or the biomedical literature. Hence, there is a need to build a consolidated view of the knowledge of this domain by aligning tuples from different sources. See [1] for a detailed motivation and [2] for a detailed task description. <strong>Datasets</strong> We provide different subsets of the alignments available in PGxLOD that have been created with the matching rules described in [3]. <em>Task with 10 % of PGx relationships</em> Alignments: 942 relatedMatch alignments: 83 sameAs alignments: 315 closeMatch alignments: 46 broadMatch alignments: 332 narrowMatch alignments: 166 Entities to align in source: 2523 Triples in source: 211770 Entities to align in target: 2520 Triples in target: 208051 <em>Task with 50 % of PGx relationships</em> Alignments: 23938 relatedMatch alignments: 1500 sameAs alignments: 8636 closeMatch alignments: 1128 broadMatch alignments: 8047 narrowMatch alignments: 4627 Entities to align in source: 12767 Triples in source: 459483 Entities to align in target: 12450 Triples in target: 450364 <em>Task with 100 % of PGx relationships</em> Alignments: 88569 relatedMatch alignments: 5318 sameAs alignments: 34510 closeMatch alignments: 3978 broadMatch alignments: 24097 narrowMatch alignments: 20666 Entities to align in source: 25362 Triples in source: 691151 Entities to align in target: 25073 Triples in target: 687052 <strong>References</strong> Pierre Monnin, Joël Legrand, Graziella Husson, Patrice Ringot, Andon Tchechmedjiev, Clément Jonquet, Amedeo Napoli, Adrien Coulet: PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison. BMC Bioinformatics 20-S(4): 139:1-139:16 (2019) [pdf] Pierre Monnin, Adrien Coulet: Matching pharmacogenomic knowledge: particularities, results, and perspectives. OM@ISWC 2022: 79-83 [pdf] Pierre Monnin, Miguel Couceiro, Amedeo Napoli, Adrien Coulet: Knowledge-Based Matching of n-ary Tuples. ICCS 2020: 48-56 [pdf]
DOI: 10.4121/19580806.v3
title: AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift

description: <strong>AmsterTime</strong> dataset offers a collection of 2,500 well-curated images matching the same scene from a street view matched to historical archival image data from Amsterdam city. The image pairs capture the same place with different cameras, viewpoints, and appearances. Unlike existing benchmark datasets, AmsterTime is directly crowdsourced in a GIS navigation platform (Mapillary). In turn, all the matching pairs are verified by a human expert to verify the correct matches and evaluate the human competence in the Visual Place Recognition (VPR) task for further references.<br>The properties of the dataset are summarized as:1200+ license-free images from the Amsterdam City Archive, representing urban places in the city of Amsterdam, captured in the past century by many photographers.All archival queries are matched with street view images from Mapillary.All matches are verified by architectural historians and Amsterdam inhabitants.Image pairs are archival and street views capturing the same place with different cameras, time lags, structural changes, occlusion, viewpoint, appearance, and illuminations.The dataset exhibits a domain shift between query and the gallery due to significant difference between scanned archival and street view images.Two sub-tasks are created on the dataset:<strong>Verification</strong> is a binary classification (auxiliary) task to detect a pair of archival and street-view images of the same place. The verification task for AmsterTime dataset has all of the crowdsourced image pairs as positive labeled, where the same number of negative samples are generated by randomly pairing archival and street-view images summing up to a total of 2,462 pairs in the verification task.<strong>Retrieval</strong> is the main task corresponding to VPR, in which a given query image is matched with a set of gallery images. For the retrieval task, AmsterTime dataset offers 1231 query images where the leave-one-out set serves as the gallery images for each query.
DOI: 10.57841/casdc.0002633
title: 水系钠钾离子电池电解液性能调控数据集
DOI: 10.4121/13089581
title: Data of experimental study on dynamic stall control using vortex generators

description: This dataset includes experimental data for an oscillating, pitching airfoil. This data set is used to demonstrate the use of VGs to control and suppress dynamic stall. The details of the experiment and data analysis are provided in: D. De Tavernier, C. Ferreira, A. Viré, et al., Controlling dynamic stall using vortex generators on a wind turbine airfoil, Renewable Energy, 2021, 172:1194-1211.
DOI: 10.4121/13089581.v4
title: Data of experimental study on dynamic stall control using vortex generators

description: This dataset includes experimental data for an oscillating, pitching airfoil. This data set is used to demonstrate the use of VGs to control and suppress dynamic stall. The details of the experiment and data analysis are provided in: D. De Tavernier, C. Ferreira, A. Viré, et al., Controlling dynamic stall using vortex generators on a wind turbine airfoil, Renewable Energy, 2021, 172:1194-1211.
DOI: 10.6084/m9.figshare.24270335
title: Fletcher_etal_code from Frightened of giants: fear responses to elephants approach that of predators

description: Animals are faced with a variety of dangers or threats, which are increasing in frequency with ongoing environmental change. While our understanding of fearfulness of such dangers is growing in the context of predation and parasitism risk, the extent to which non-trophic, interspecific dangers elicit fear in animals remains less appreciated. We provide an experimental test for fear responses of savannah ungulates to a dominant and aggressive megaherbivore, the African bush elephant (<i>Loxodonta africana</i>), and contrast responses to an apex predator known to elicit fear in this system. Using an automated behavioural response system, we contrast vigilance and run responses of ungulates to elephant, leopard (<i>Panthera pardus</i>), and control (red-chested cuckoo <i>Cuculus solitarius</i>) vocalizations. Overall, we find that ungulates responded to elephant calls, both in terms of an increase in run and vigilance responses relative to controls. The magnitude of most behavioural responses (four of six considered) to elephant vocalizations were not significantly different than responses to leopards. These results suggest that megaherbivores can elicit strong non-trophic fear responses by ungulates and call to broaden frameworks on fear to consider dominant species, such as megaherbivores, as key modifiers of fear-induced interactions.
DOI: 10.6084/m9.figshare.24270335.v1
title: Fletcher_etal_code from Frightened of giants: fear responses to elephants approach that of predators

description: Animals are faced with a variety of dangers or threats, which are increasing in frequency with ongoing environmental change. While our understanding of fearfulness of such dangers is growing in the context of predation and parasitism risk, the extent to which non-trophic, interspecific dangers elicit fear in animals remains less appreciated. We provide an experimental test for fear responses of savannah ungulates to a dominant and aggressive megaherbivore, the African bush elephant (<i>Loxodonta africana</i>), and contrast responses to an apex predator known to elicit fear in this system. Using an automated behavioural response system, we contrast vigilance and run responses of ungulates to elephant, leopard (<i>Panthera pardus</i>), and control (red-chested cuckoo <i>Cuculus solitarius</i>) vocalizations. Overall, we find that ungulates responded to elephant calls, both in terms of an increase in run and vigilance responses relative to controls. The magnitude of most behavioural responses (four of six considered) to elephant vocalizations were not significantly different than responses to leopards. These results suggest that megaherbivores can elicit strong non-trophic fear responses by ungulates and call to broaden frameworks on fear to consider dominant species, such as megaherbivores, as key modifiers of fear-induced interactions.
DOI: 10.6084/m9.figshare.24270338
title: abr_data from Frightened of giants: fear responses to elephants approach that of predators

description: Animals are faced with a variety of dangers or threats, which are increasing in frequency with ongoing environmental change. While our understanding of fearfulness of such dangers is growing in the context of predation and parasitism risk, the extent to which non-trophic, interspecific dangers elicit fear in animals remains less appreciated. We provide an experimental test for fear responses of savannah ungulates to a dominant and aggressive megaherbivore, the African bush elephant (<i>Loxodonta africana</i>), and contrast responses to an apex predator known to elicit fear in this system. Using an automated behavioural response system, we contrast vigilance and run responses of ungulates to elephant, leopard (<i>Panthera pardus</i>), and control (red-chested cuckoo <i>Cuculus solitarius</i>) vocalizations. Overall, we find that ungulates responded to elephant calls, both in terms of an increase in run and vigilance responses relative to controls. The magnitude of most behavioural responses (four of six considered) to elephant vocalizations were not significantly different than responses to leopards. These results suggest that megaherbivores can elicit strong non-trophic fear responses by ungulates and call to broaden frameworks on fear to consider dominant species, such as megaherbivores, as key modifiers of fear-induced interactions.
DOI: 10.6084/m9.figshare.24270338.v1
title: abr_data from Frightened of giants: fear responses to elephants approach that of predators

description: Animals are faced with a variety of dangers or threats, which are increasing in frequency with ongoing environmental change. While our understanding of fearfulness of such dangers is growing in the context of predation and parasitism risk, the extent to which non-trophic, interspecific dangers elicit fear in animals remains less appreciated. We provide an experimental test for fear responses of savannah ungulates to a dominant and aggressive megaherbivore, the African bush elephant (<i>Loxodonta africana</i>), and contrast responses to an apex predator known to elicit fear in this system. Using an automated behavioural response system, we contrast vigilance and run responses of ungulates to elephant, leopard (<i>Panthera pardus</i>), and control (red-chested cuckoo <i>Cuculus solitarius</i>) vocalizations. Overall, we find that ungulates responded to elephant calls, both in terms of an increase in run and vigilance responses relative to controls. The magnitude of most behavioural responses (four of six considered) to elephant vocalizations were not significantly different than responses to leopards. These results suggest that megaherbivores can elicit strong non-trophic fear responses by ungulates and call to broaden frameworks on fear to consider dominant species, such as megaherbivores, as key modifiers of fear-induced interactions.
DOI: 10.6084/m9.figshare.24270364
title: Supplementary Material for: Three dimensional graphene promotes the proliferation of cholinergic neurons

description: Background: An early substantial loss of basal forebrain cholinergic neurons (BFCNs) is a common property of Alzheimer’s disease and the degeneration of functional BFCNs is related to learning and memory deficits. As a biocompatible and conductive scaffold for growth of neural stem cells, three-dimensional graphene foam (3D-GF) supports applications in tissue engineering and regenerative medicine. Although its effects on differentiation have been demonstrated, the effect of 3D-GF scaffold on the generation of BFCNs still remains unknown. Methods: In this study, we used 3D-GF as a culture substrate for neural progenitor cells (NPCs) and demonstrated that this scaffold material promotes the differentiation of BFCNs while maintaining excellent cell viability and proliferation. Results: Immunofluorescence analysis, RT-PCR, western blotting and ELISA revealed that the proportion of BFCNs at 21 days of differentiation reached approximately 30.5% on 3D-GF compared with TCPS group that only presented 9.7%. Furthermore, a cell adhesion study suggested that 3D-GF scaffold enhances the expression of adhesion proteins including vinculin, integrin and N-cadherin. These findings indicate that 3D-GF scaffold materials are preferable candidates for the differentiation of BFCNs from NPCs. Conclusions: These results suggest new opportunities for the application of 3D-GF scaffold as a neural scaffold for cholinergic neurons therapies based on NPCs.
DOI: 10.6084/m9.figshare.24270364.v1
title: Supplementary Material for: Three dimensional graphene promotes the proliferation of cholinergic neurons

description: Background: An early substantial loss of basal forebrain cholinergic neurons (BFCNs) is a common property of Alzheimer’s disease and the degeneration of functional BFCNs is related to learning and memory deficits. As a biocompatible and conductive scaffold for growth of neural stem cells, three-dimensional graphene foam (3D-GF) supports applications in tissue engineering and regenerative medicine. Although its effects on differentiation have been demonstrated, the effect of 3D-GF scaffold on the generation of BFCNs still remains unknown. Methods: In this study, we used 3D-GF as a culture substrate for neural progenitor cells (NPCs) and demonstrated that this scaffold material promotes the differentiation of BFCNs while maintaining excellent cell viability and proliferation. Results: Immunofluorescence analysis, RT-PCR, western blotting and ELISA revealed that the proportion of BFCNs at 21 days of differentiation reached approximately 30.5% on 3D-GF compared with TCPS group that only presented 9.7%. Furthermore, a cell adhesion study suggested that 3D-GF scaffold enhances the expression of adhesion proteins including vinculin, integrin and N-cadherin. These findings indicate that 3D-GF scaffold materials are preferable candidates for the differentiation of BFCNs from NPCs. Conclusions: These results suggest new opportunities for the application of 3D-GF scaffold as a neural scaffold for cholinergic neurons therapies based on NPCs.
DOI: 10.6084/m9.figshare.24270187
title: case1_final.zip

description: 11111111111111111111111
DOI: 10.6084/m9.figshare.24270187.v1
title: case1_final.zip

description: 11111111111111111111111
DOI: 10.34740/kaggle/dsv/6643752
title: Asian Development Bank - Procurement data
DOI: 10.5281/zenodo.8346768
title: Doppler-only Single-scan 3D Vehicle Odometry

description: Dataset provided with the article of the same name. Created to test the performance of 3D Doppler-capable radar odometry in outdoor scenarios. Sensors mounted on the vehicle include a 3D Doppler-capable radar, 3D lidar, and an IMU.
DOI: 10.5281/zenodo.8346769
title: Doppler-only Single-scan 3D Vehicle Odometry

description: Dataset provided with the article of the same name. Created to test the performance of 3D Doppler-capable radar odometry in outdoor scenarios. Sensors mounted on the vehicle include a 3D Doppler-capable radar, 3D lidar, and an IMU.
DOI: 10.5281/zenodo.8419681
title: Rediscovery of type specimens of Nesorhinus hayasakai (Mammalia, Rhinocerotidae) from the Pleistocene of Taiwan

description: Historically, the excavation in the 1970s and publication in the 80s of <em>Rhinoceros sinensis hayasakai</em> (now known as <em>Nesorhinus hayasakai</em>) represents a milestone in vertebrate paleontology in Taiwan. However, the type materials (including 22 syntypes) are missing after the 1984 publication due to the lack of proper curation and management, and reflect the undervalued vertebrate paleontology in Taiwan. Here we found five original specimens out of 22 in two collections (National Taiwan University and Tainan City Zuojhen Fossil Park). The original 22 specimens were recovered from two geographical localities and geological horizons: northern (Taoyuan, Tunghsiao Formation: Early Pleistocene) and southern (Tainan, Chiting Formation: Middle Pleistocene) Taiwan. Our rediscovery of long-forgotten type materials emphasizes the importance of proper specimen curation. Similarly, by clarifying the historical issues and collecting more fossils, vertebrate paleontology from Taiwan promises to offer novel perspectives to understand the origin of modern biodiversity and large-scale extinctions along the eastern margin of Eurasia.
DOI: 10.5281/zenodo.8419680
title: Rediscovery of type specimens of Nesorhinus hayasakai (Mammalia, Rhinocerotidae) from the Pleistocene of Taiwan

description: Historically, the excavation in the 1970s and publication in the 80s of <em>Rhinoceros sinensis hayasakai</em> (now known as <em>Nesorhinus hayasakai</em>) represents a milestone in vertebrate paleontology in Taiwan. However, the type materials (including 22 syntypes) are missing after the 1984 publication due to the lack of proper curation and management, and reflect the undervalued vertebrate paleontology in Taiwan. Here we found five original specimens out of 22 in two collections (National Taiwan University and Tainan City Zuojhen Fossil Park). The original 22 specimens were recovered from two geographical localities and geological horizons: northern (Taoyuan, Tunghsiao Formation: Early Pleistocene) and southern (Tainan, Chiting Formation: Middle Pleistocene) Taiwan. Our rediscovery of long-forgotten type materials emphasizes the importance of proper specimen curation. Similarly, by clarifying the historical issues and collecting more fossils, vertebrate paleontology from Taiwan promises to offer novel perspectives to understand the origin of modern biodiversity and large-scale extinctions along the eastern margin of Eurasia.
DOI: 10.57841/casdc.0002634
title: 8-12吨生物质（干基）产1吨航油示范相关技术指标
DOI: 10.22008/promice/freshwater
title: Greenland liquid water runoff
DOI: 10.6084/m9.figshare.24270154.v1
title: <b>Segmentation Living Image</b> data

description: This study introduces the concept of "structural beauty" as an objective computational approach for evaluating the aesthetic appeal of images. Through the utilization of the Segment anything model (SAM), we propose a method that leverages recursive segmentation to extract finer-grained substructures. Additionally, by reconstructing the hierarchical structure, we obtain a more accurate representation of substructure quantity and hierarchy. This approach reproduces and extends our previous research, allowing for the simultaneous assessment of Livingness in full-color images without the need for grayscale conversion or separate computations for foreground and background Livingness. Furthermore, the application of our method to the Scenic or Not dataset, a repository of subjective scenic ratings, demonstrates a high degree of consistency with subjective ratings in the 0-6 score range. This underscores that structural beauty is not solely a subjective perception, but a quantifiable attribute accessible through objective computation. Through our case studies, we have arrived at three significant conclusions. 1) our method demonstrates the capability to accurately segment meaningful objects, including trees, buildings, and windows, as well as abstract substructures within paintings. 2) we observed that the clarity of an image impacts our computational results; clearer images tend to yield higher Livingness scores. However, for equally blurry images, Livingness does not exhibit a significant reduction, aligning with human visual perception. 3) our approach fundamentally differs from methods employing Convolutional Neural Networks (CNNs) for predicting image scores. Our method not only provides computational results but also offers transparency and interpretability, positioning it as a novel avenue in the realm of Explainable AI (XAI).
DOI: 10.57841/casdc.0002635
title: 原油多产化学品催化剂开发及规模化制备数据集
DOI: 10.34740/kaggle/dsv/6643844
title: Asian Development Bank - Procurement data
DOI: 10.57841/casdc.0002636
title: 原油催化裂化制化学品提升管反应器流体动力学模拟数据集
DOI: 10.57841/casdc.0002637
title: Nb对ZSM-5-USY催化剂催化裂解正己烷制轻烯烃的促进作用
DOI: 10.57841/casdc.0002638
title: 双金属改性ZSM-5-USY复合分子筛催化裂解正己烷制备低碳烯烃
DOI: 10.6084/m9.figshare.24270154
title: <b>Segmentation Living Image</b> data

description: This study introduces the concept of "structural beauty" as an objective computational approach for evaluating the aesthetic appeal of images. Through the utilization of the Segment anything model (SAM), we propose a method that leverages recursive segmentation to extract finer-grained substructures. Additionally, by reconstructing the hierarchical structure, we obtain a more accurate representation of substructure quantity and hierarchy. This approach reproduces and extends our previous research, allowing for the simultaneous assessment of Livingness in full-color images without the need for grayscale conversion or separate computations for foreground and background Livingness. Furthermore, the application of our method to the Scenic or Not dataset, a repository of subjective scenic ratings, demonstrates a high degree of consistency with subjective ratings in the 0-6 score range. This underscores that structural beauty is not solely a subjective perception, but a quantifiable attribute accessible through objective computation. Through our case studies, we have arrived at three significant conclusions. 1) our method demonstrates the capability to accurately segment meaningful objects, including trees, buildings, and windows, as well as abstract substructures within paintings. 2) we observed that the clarity of an image impacts our computational results; clearer images tend to yield higher Livingness scores. However, for equally blurry images, Livingness does not exhibit a significant reduction, aligning with human visual perception. 3) our approach fundamentally differs from methods employing Convolutional Neural Networks (CNNs) for predicting image scores. Our method not only provides computational results but also offers transparency and interpretability, positioning it as a novel avenue in the realm of Explainable AI (XAI).