cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-1312116124
title: Molecular bases of regulation of cardiac muscle contractility

description: Regulation of heart contractility is operated by both thin, actin containing filaments, and thick, myosin containing filaments. Ca2+-induced structural changes in the regulatory proteins of the thin filament release the actin sites for interaction with myosin motors. Thick filament mechanosensing adapts to the load the number of motors recruited from the OFF state in which they lie tilted back on their tails unable to interact with actin. In the heartbeat both thin and thick filament activations are under the control of modulatory mechanisms by accessory proteins. Mutations in these proteins cause dysregulation and cardiomyopathy. We use sarcomere-level mechanics and X-ray diffraction on intact and demembranated myocytes of the ventricle of wild type, mutant and transgenic animal models to investigate the mechanisms that control thick filament regulation/dysregulation and test small molecules candidate as therapeutic tools.
DOI: 10.5519/qd.bf7bsuhw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1061328 records)
DOI: 10.57841/casdc.0002624
title: 利用掠角磁控溅射制备掺Hf的In2O3薄膜提高异质结太阳电池效率
DOI: 10.57841/casdc.0002625
title: 通过晶硅异质结太阳电池的富氢c-Si界面改性获得高效钝化
DOI: 10.6084/m9.figshare.20448675
title: Supplementary Information - <i>Xanthesma (Xenohesma) brachycera</i> (Hymenoptera: Colletidae): barcoding, behaviour, and a new combination

description: <br><b>Supplementary data</b><b>Appendix 1. Specimens of </b><i><b>Xanthesma (Xenohesma) brachycera </b></i><b>sent for DNA barcoding</b><b>Table S1. </b>Specimens of <i>Xanthesma (Xenohesma) brachycera </i>that were sent for DNA barcoding: their collection details and for those that were successfully sequenced, their BIN and GenBank accession numbers. WAM voucher refers to the voucher number at the Western Australian Museum Entomology Collection.<b>Appendix 2. Specimens used for body-size measurements</b><b>Table S2. </b>Specimens of <i>Xanthesma (Xenohesma) brachycera </i>used for body-size measurements. ITD = intertegular distance. WAM = Western Australian Museum.<b>Appendix 3. Video of mating swarm of </b><i><b>Xanthesma (Xenohesma) brachycera</b></i>Video of a mating swarm of <i>Xanthesma (Xenohesma) brachycera </i>taken at Shenton Park Bushland on 19th Jan 2018.<b>Appendix 4. R script used to produce the Collection map of </b><i><b>Xanthesma (Xenohesma) brachycera</b></i>
DOI: 10.6084/m9.figshare.20448675.v1
title: Supplementary Information - <i>Xanthesma (Xenohesma) brachycera</i> (Hymenoptera: Colletidae): barcoding, behaviour, and a new combination

description: <br><b>Supplementary data</b><b>Appendix 1. Specimens of </b><i><b>Xanthesma (Xenohesma) brachycera </b></i><b>sent for DNA barcoding</b><b>Table S1. </b>Specimens of <i>Xanthesma (Xenohesma) brachycera </i>that were sent for DNA barcoding: their collection details and for those that were successfully sequenced, their BIN and GenBank accession numbers. WAM voucher refers to the voucher number at the Western Australian Museum Entomology Collection.<b>Appendix 2. Specimens used for body-size measurements</b><b>Table S2. </b>Specimens of <i>Xanthesma (Xenohesma) brachycera </i>used for body-size measurements. ITD = intertegular distance. WAM = Western Australian Museum.<b>Appendix 3. Video of mating swarm of </b><i><b>Xanthesma (Xenohesma) brachycera</b></i>Video of a mating swarm of <i>Xanthesma (Xenohesma) brachycera </i>taken at Shenton Park Bushland on 19th Jan 2018.<b>Appendix 4. R script used to produce the Collection map of </b><i><b>Xanthesma (Xenohesma) brachycera</b></i>
DOI: 10.21227/fc5h-8h64
title: Analog Circuit Fault Diagnosis Dataset

description: The simulation experiment is based on Candence 16.6 software, where the tolerance of the resistance (R) is set to 5%, the tolerance of the capacitance (C) is set to 10%, the input is a single-pulse signal (amplitude 5 V, pulse width 10 µs, eriod 2ms), and the working temperature is set to 27 ℃. The operational amplifier(op-amp) uses the actual UA741 pspice model. The experiment includes the soft fault diagnosis of Sallen-Key band-pass filter circuit (TC1), Four-op-amp biquad high-pass filter circuit (TC2), and Leap-frog low-pass filter circuit (TC3). The dataset is a CSV file, with each row representing a feature vector, the last column being the data label, and the remaining columns being the feature vectors.
DOI: 10.6084/m9.figshare.24270253
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.24270253.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: 10.5281/zenodo.8420011
title: T cell dataset for CellTracksColab - 2

description: Test dataset for the CellTracksColab platform https://github.com/guijacquemet/CellTracksColab. Video of T-cells migrating on ICAM-1 or VCAM-1 were tracked using StarDist and TrackMate. More information on the dataset and the StarDist model used for tracking is available here https://zenodo.org/record/4034929 This version of the dataset only contains the following track information - **Track ID**: A unique identifier for each track. Each track should have a distinct ID. - **X Coordinate**: Represents the X position of the tracked object. - **Y Coordinate**: Represents the Y position of the tracked object. - **Time Point**: Indicates the time or frame at which the tracking data was recorded.
DOI: 10.5281/zenodo.8420010
title: T cell dataset for CellTracksColab - 2

description: Test dataset for the CellTracksColab platform https://github.com/guijacquemet/CellTracksColab. Video of T-cells migrating on ICAM-1 or VCAM-1 were tracked using StarDist and TrackMate. More information on the dataset and the StarDist model used for tracking is available here https://zenodo.org/record/4034929 This version of the dataset only contains the following track information - **Track ID**: A unique identifier for each track. Each track should have a distinct ID. - **X Coordinate**: Represents the X position of the tracked object. - **Y Coordinate**: Represents the Y position of the tracked object. - **Time Point**: Indicates the time or frame at which the tracking data was recorded.
DOI: 10.6084/m9.figshare.16989109
title: Data & code

description: Data
DOI: 10.6084/m9.figshare.16989109.v13
title: Data & code

description: Data
DOI: 10.6084/m9.figshare.16989109.v12
title: Data & code

description: Data
DOI: 10.57841/casdc.0002626
title: CO2和PH3对等离子体增强化学气相沉积制备n型纳米氧化硅性能的协同影响
DOI: 10.57841/casdc.0002627
title: MnO2/HF/HNO3/H2O体系对多晶硅片的高效制绒
DOI: 10.6084/m9.figshare.24270265
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.24270265.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: 10.5281/zenodo.8409513
title: Dataset for: A marine cryptochrome with an inverse photo-oligomerization mechanism

description: Raw data for all sequence analysis, SEC runs, MD simulations, and UV/Vis absorbance readings supporting the findings of the study 'A marine cryptochrome with an inverse photo-oligomerization mechanism'
DOI: 10.5281/zenodo.8409514
title: Dataset for: A marine cryptochrome with an inverse photo-oligomerization mechanism

description: Raw data for all sequence analysis, SEC runs, and UV/Vis absorbance readings supporting the findings of the study 'A marine cryptochrome with an inverse photo-oligomerization mechanism'
DOI: 10.5281/zenodo.8420035
title: Dataset for: A marine cryptochrome with an inverse photo-oligomerization mechanism

description: Raw data for all sequence analysis, SEC runs, MD simulations, and UV/Vis absorbance readings supporting the findings of the study 'A marine cryptochrome with an inverse photo-oligomerization mechanism'
DOI: 10.57841/casdc.0002628
title: 不同溅射功率In2O3:SnO2薄膜对异质结太阳能电池效率和稳定性的影响
DOI: 10.57841/casdc.0002629
title: 不同掺杂比例In2O3:SnO2薄膜及其透明导电电极在硅异质结太阳能电池中的应用研究
DOI: 10.57841/casdc.0002630
title: 溅射室中H2O对ITO薄膜和HJT太阳能电池的影响
DOI: 10.57841/casdc.0002631
title: 氢等离子体处理钝化层对高效晶硅异质结太阳电池性能的影响
DOI: 10.57841/casdc.0002632
title: Ti和H共掺杂方法改善ITO透明导电薄膜的光电性能
DOI: 10.6084/m9.figshare.24270280
title: Supplementary Material for: Efficacy of a Self-Directed Video-based Caregiver-Implemented Language Programme

description: Introduction. Caregiver-implemented language programmes are effective for alleviating early language difficulties. This study examined the efficacy of a self-directed video-based caregiver-implement language programme in Chinese families. Method. This study consisted of two stages. In Stage 1, 31 caregiver-child dyads (typically developing children) completed the training programme (Group 1) in the form of six video-based training modules. In Stage 2, 28 caregiver-child dyads (children with language difficulties) receiving active speech therapy were randomly assigned to the training (Group 2) and control arms (Group 3). Group 2 received the same training as Group 1 in addition to their regular therapy while Group 3 was kept as status quo. Caregivers completed a quiz on their knowledge of language facilitation techniques (LFTs) and submitted caregiver-child interaction videos at the start and end of the training. Outcome measures included programme completion rate, quiz scores, and use of LFTs and children’s communication skills in the videos. A pre-post design and a between-group designs were adopted in the Stage 1 and 2 studies respectively. Results. A completion rate of about 60% in both stages was noted. Significantly higher post-training knowledge scores were found in Groups 1 and 2. General but non-significant growth in use of parallel talk and gesture, and significant gains in children’s vocalization in the training arm were observed. Conclusion. The self-directed video-based training programme would be useful in imparting information to caregivers. However, the modest improvements in the use of LFTs suggested direct coaching appeared to still play a significant role in enhancing the actual implementation of LFTs. Further investigation on a larger scale is required to evaluate the effectiveness of the training program for promoting the wider use of this mode as a preventive measure.
DOI: 10.6084/m9.figshare.24270280.v1
title: Supplementary Material for: Efficacy of a Self-Directed Video-based Caregiver-Implemented Language Programme

description: Introduction. Caregiver-implemented language programmes are effective for alleviating early language difficulties. This study examined the efficacy of a self-directed video-based caregiver-implement language programme in Chinese families. Method. This study consisted of two stages. In Stage 1, 31 caregiver-child dyads (typically developing children) completed the training programme (Group 1) in the form of six video-based training modules. In Stage 2, 28 caregiver-child dyads (children with language difficulties) receiving active speech therapy were randomly assigned to the training (Group 2) and control arms (Group 3). Group 2 received the same training as Group 1 in addition to their regular therapy while Group 3 was kept as status quo. Caregivers completed a quiz on their knowledge of language facilitation techniques (LFTs) and submitted caregiver-child interaction videos at the start and end of the training. Outcome measures included programme completion rate, quiz scores, and use of LFTs and children’s communication skills in the videos. A pre-post design and a between-group designs were adopted in the Stage 1 and 2 studies respectively. Results. A completion rate of about 60% in both stages was noted. Significantly higher post-training knowledge scores were found in Groups 1 and 2. General but non-significant growth in use of parallel talk and gesture, and significant gains in children’s vocalization in the training arm were observed. Conclusion. The self-directed video-based training programme would be useful in imparting information to caregivers. However, the modest improvements in the use of LFTs suggested direct coaching appeared to still play a significant role in enhancing the actual implementation of LFTs. Further investigation on a larger scale is required to evaluate the effectiveness of the training program for promoting the wider use of this mode as a preventive measure.
DOI: 10.5281/zenodo.8195908
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: 10.5281/zenodo.8195909
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: 1092 relatedMatch alignments: 66 sameAs alignments: 498 closeMatch alignments: 53 broadMatch alignments: 333 narrowMatch alignments: 142 Entities to align in source: 2525 Triples in source: 816604 Entities to align in target: 2518 Triples in target: 816859 <em>Task with 50 % of PGx relationships</em> Alignments: 23630 relatedMatch alignments: 1245 sameAs alignments: 9219 closeMatch alignments: 1175 broadMatch alignments: 7183 narrowMatch alignments: 4808 Entities to align in source: 12816 Triples in source: 894723 Entities to align in target: 12401 Triples in target: 889735 <em>Task with 100 % of PGx relationships</em> Alignments: 89926 relatedMatch alignments: 4979 sameAs alignments: 35499 closeMatch alignments: 4603 broadMatch alignments: 26135 narrowMatch alignments: 18710 Entities to align in source: 25406 Triples in source: 982548 Entities to align in target: 25029 Triples in target: 980543 <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]