cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24004281.v1
title: Supplementary Material for: Development of an Oral Immunotherapy-related Parental Burden Scale

description: Introduction: Oral immunotherapy (OIT) imposes a burden on parents and their children with food allergies (FA). We already developed a questionnaire for OIT-related Parental Burden Scale (OIT-PB). However, the previous questionnaire had some problems. This study modified OIT-PB and verified its reliability and validity. Methods: A 20-item draft covering the physical and mental burdens caused by OIT was prepared jointly with multiple allergists. The Food Allergy Quality of Life Questionnaire-Parental Burden (FAQLQ-PB) and Stress Response Scale-18 (SRS-18) were used to verify concurrent validity. A questionnaire survey was administered during treatment to parents of FA children who had started OIT for the first time. An additional OIT-PB survey was performed at one specific institution one week after the posttreatment survey. Results: The responses of 64 of the 76 recruited parents were analyzed. Of the 20 questions, 1 item was excluded owing to the floor effect, 1 was excluded because its commonality was less than 0.2, and 2 were excluded because their factor loading values were less than 0.4. Factor analysis was used to classify the OIT-PB into the following 4 subscales: "burden caused by adherence to treatment plan," "anxiety about symptom-induced risk," "burden due to patient's eating behavior," and "anxiety about treatment effect." The Cronbach's α for all 16 items of the OIT-PB was 0.893; Cronbach's α for each subscale was 0.876, 0.898, 0.874, and 0.717. The re-test reliability coefficient was 0.864 (95% CI: 0.720−0.937, P &lt; 0.001). A significant positive correlation was found between the OIT-PB and FAQLQ-PB (R = 0.610 (95% CI: 0.422−0.747), p &lt; 0.001) and the SRS-18 (R = 0.522 (95% CI: 0.306-0.687), p &lt; 0.001). A significant negative correlation was found between the rate of increase in OIT food intake and the “anxiety about treatment effect” score (R = -0.355 (95% CI: -0.558—0.112), p &lt; 0.001). Parents of children on the hen’s egg OIT treatment scored higher on the “burden due to patient’s eating behavior” subscale than did parents of children on the milk and wheat OIT treatment. Conclusion: The burden of OIT experienced by parents can be broadly classified into four categories. The modified OIT-PB was able to evaluate them individually and was shown to have reliability and validity. This scale is expected to be useful in the development of OIT that considers not only therapeutic effect but also the burden experienced by FA children and their parents.
DOI: 10.6084/m9.figshare.24005193.v1
title: Supplementary Material for: Do disinfectant solutions during gargling reach the pharynx?

description: Introduction: In times of COVID-19, gargling disinfectant is commonly used. Disinfectant solutions seems to decrease the infections symptoms. For disinfection, several techniques are reported. So far, there is no data about the regions in the upper airways achieved by gargled fluid. Methods: 10 Patients without any dysphagia were investigated with a high sensitivity FEES® during and after gargling of colored water.A volunteer repeated the gargling process in fast and real time MRI. Results: In all cases, no color accumulation was detected on the posterior pharyngeal wall, epi- or hypopharynx during gargling. The MRI scans confirmed the results. Conclusions: With high sensitivity FEES® and fast MRI provide an insight into the gargling pattern. Data show, during gargling, the fluid covers the soft tissue in the oral cavity and the anterior part of the soft palate, but not the posterior pharyngeal wall nor the epi- and hypopharynx.
DOI: 10.34740/kaggle/dsv/6389340
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.8301554
title: Test

description: Anonymous upload test
DOI: 10.5281/zenodo.8301553
title: Test

description: Anonymous upload test
DOI: 10.5281/zenodo.8301520
title: Data collected from questionnaires to collect feedback on the services' performance / accelerator programme and outcomes

description: Results of the immediate satisfaction surveys deployed to: <br> (i) all participants of the syncronous induction training [Tab: 2.InductionTrainingSync]; <br> (ii) all participants of the asyncrhous induction training - [Tab: 3.InductionTrainingAsync]; <br> (iii) makerpsace admins, consultants,mentors that participated in the delivery of the entire PMCA programme [Tab: 4.PCMA - Admins] and <br> (iv) to maker teams that succesfully finished the Mentoring stage of the PCMA programme [Tab: 5.PCMA - Makers] with a view to capture their impressions of programme and recommendations for further improvements. The present spreadsheet is also accompanied by four (4) documents (.pdf) that present the surveys deployed for collecting the above responses. In particular: <br> 1.InductionTrainingAsyncSatisfactionSurvey_Questions.pdf<br> 2.InductionTrainingSyncSatisfactionSurvey_Questions.pdf<br> 3.PCMASatisfactionSurveyMakerpace_Questions.pdf<br> 4.PCMASatisfactionSurveyMakers_Questions.pdf
DOI: 10.5281/zenodo.8301519
title: Data collected from questionnaires to collect feedback on the services' performance / accelerator programme and outcomes

description: Results of the immediate satisfaction surveys deployed to: <br> (i) all participants of the syncronous induction training [Tab: 2.InductionTrainingSync]; <br> (ii) all participants of the asyncrhous induction training - [Tab: 3.InductionTrainingAsync]; <br> (iii) makerpsace admins, consultants,mentors that participated in the delivery of the entire PMCA programme [Tab: 4.PCMA - Admins] and <br> (iv) to maker teams that succesfully finished the Mentoring stage of the PCMA programme [Tab: 5.PCMA - Makers] with a view to capture their impressions of programme and recommendations for further improvements. The present spreadsheet is also accompanied by four (4) documents (.pdf) that present the surveys deployed for collecting the above responses. In particular: <br> 1.InductionTrainingAsyncSatisfactionSurvey_Questions.pdf<br> 2.InductionTrainingSyncSatisfactionSurvey_Questions.pdf<br> 3.PCMASatisfactionSurveyMakerpace_Questions.pdf<br> 4.PCMASatisfactionSurveyMakers_Questions.pdf
DOI: 10.5281/zenodo.5510877
title: The Data and Codes for Training, Testing, and Prognostic Validation of A ResNet Ensemble for Moist Physics (ResCu-en)

description: Note: the monthly averaged NCAM, SPCAM, and CAM5 results are uploaded as *_h0.tar.gz! The data and codes for Training, Testing, and Prognostic Validation of A ResNet Ensemble for Moist Physics (ResCu-en) are stored in this repositary. This project is built on python3.7 and tensorflow-gpu2.3.0, and the scripts for analysis and plots are on jupyter-notebook. Please make sure to install all python packages used in an environment. Please read the ReadME-2.txt. For the entire training and testing datasets in both the baseline and +4K SST climates. Please download them from Dryad (https://doi.org/10.6075/J0CZ35PP and https://doi.org/10.6075/J03J3BGF), Onedrive (https://1drv.ms/u/s!ArKTPPs6U_9DjxPJeSReKlbsLzyh?e=PDlWYJ), and Dropbox (https://www.dropbox.com/s/yc4fx35laqwt0fu/SPCAM_ML_4K.tar.gz?dl=0 and https://www.dropbox.com/s/4pxahzwt9v55u2m/SPCAM_ML_RAD.tar.gz?dl=0).
DOI: 10.6084/m9.figshare.23803959.v1
title: Supplementary Material for: Association of lifelong cognitive reserve with dementia and mild cognitive impairment among older adults with limited formal education: a population-based cohort study

description: Introduction: Early-life educational attainment contributes to cognitive reserve (CR). We investigated the associations of lifelong CR with dementia and mild cognitive impairment (MCI) among older people with limited formal education. Methods: This population-based cohort study included 2127 dementia-free participants (≥60 years; 59.4% women; 81.5% with no or elementary school) who were examined at baseline (August-December 2014) and follow-up (March-September 2018). Lifelong CR score at baseline was generated from six lifespan intellectual factors. Dementia, MCI, and their subtypes were defined according to the international criteria. Data were analyzed using Cox proportional-hazards models. Results: During the total of 8330.6 person-years of follow-up, 101 persons were diagnosed with dementia, including 74 with AD and 26 with VaD. The high (versus low) tertile of lifelong CR score was associated with multivariable-adjusted hazards ratio (95% confidence interval) of 0.28 (0.14–0.55) for dementia and 0.18 (0.07–0.48) for AD. The association between higher CR and reduced AD risk was significant in people aged 60-74 but not in those aged≥75 years (P-for-interaction=0.011). Similarly, among MCI-free people at baseline (n=1635), the high (versus low) tertile of lifelong CR score was associated with multivariable-adjusted hazard ratio of 0.51 (0.38–0.69) for MCI and 0.46 (0.33–0.64) for amnestic MCI. Lifelong CR was not related to VaD or non-amnestic MCI. Discussion: High lifelong CR is associated with reduced risks of dementia and MCI, especially AD and amnestic MCI. It highlights the importance of lifelong CR in in maintaining late-life cognitive health even among people with no or limited education.
DOI: 10.5517/ccdc.csd.cc2b6yp6
title: CCDC 2151638: Experimental Crystal Structure Determination

description: Related Article: T. Vishwanath, A. Ashish, C.K. Ravi Shankar, K.D. Amar|2022|J.Mol.Struct.|1264|133290|doi:10.1016/j.molstruc.2022.133290
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.cc2d474y
title: CCDC 2208599: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Faraonov, Evgeniya I. Yudanova, Alexey V. Kuzmin, Salavat S. Khasanov, Sergey I. Troyanov, Akihiro Otsuka, Hideki Yamochi, Hiroshi Kitagawa, Dmitri V. Konarev|2023|CrystEngComm|25|4620|doi:10.1039/D3CE00564J
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.cc2dx75r
title: CCDC 2231664: Experimental Crystal Structure Determination

description: Related Article: Congcong Huang, Chuanqi Zhao, Qingqing Deng, Haochen Zhang, Dongqin Yu, Jinsong Ren, Xiaogang Qu|2023|Nat. Catal.|6|729|doi:10.1038/s41929-023-00999-0
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.cc2ffcqz
title: CCDC 2247181: Experimental Crystal Structure Determination

description: Related Article: Yuichiro Kawamoto, Naoki Noguchi, Toyoharu Kobayashi, Hisanaka Ito|2023|Angew.Chem.,Int.Ed.|62|e202304132|doi:10.1002/anie.202304132
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.cc2fzch9
title: CCDC 2263511: Experimental Crystal Structure Determination

description: Related Article: Zi-Yi Yuan, Zheng-Qian Zhang, Jun-Rong Liang, Chu-Yan Lin, Dan-Li Peng, Bao-Dong Cui, Xue-Qing Mou, Yun Zhang, Yong-Zheng Chen|2023|New J.Chem.|47|15847|doi:10.1039/D3NJ02600K
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.cc2fzqlr
title: CCDC 2263855: Experimental Crystal Structure Determination

description: Related Article: Przemysław Szklarz, Anna Gągor, Ryszard Jakubas, Wojciech Medycki, Grażyna Bator|2023|Dalton Trans.|52|11981|doi:10.1039/D3DT01650A
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.cc2g030m
title: CCDC 2264209: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Faraonov, Evgeniya I. Yudanova, Alexey V. Kuzmin, Salavat S. Khasanov, Sergey I. Troyanov, Akihiro Otsuka, Hideki Yamochi, Hiroshi Kitagawa, Dmitri V. Konarev|2023|CrystEngComm|25|4620|doi:10.1039/D3CE00564J
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.cc2g032p
title: CCDC 2264211: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Faraonov, Evgeniya I. Yudanova, Alexey V. Kuzmin, Salavat S. Khasanov, Sergey I. Troyanov, Akihiro Otsuka, Hideki Yamochi, Hiroshi Kitagawa, Dmitri V. Konarev|2023|CrystEngComm|25|4620|doi:10.1039/D3CE00564J
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.cc2g033q
title: CCDC 2264212: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Faraonov, Evgeniya I. Yudanova, Alexey V. Kuzmin, Salavat S. Khasanov, Sergey I. Troyanov, Akihiro Otsuka, Hideki Yamochi, Hiroshi Kitagawa, Dmitri V. Konarev|2023|CrystEngComm|25|4620|doi:10.1039/D3CE00564J
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.cc2g034r
title: CCDC 2264213: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Faraonov, Evgeniya I. Yudanova, Alexey V. Kuzmin, Salavat S. Khasanov, Sergey I. Troyanov, Akihiro Otsuka, Hideki Yamochi, Hiroshi Kitagawa, Dmitri V. Konarev|2023|CrystEngComm|25|4620|doi:10.1039/D3CE00564J
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.cc2g035s
title: CCDC 2264214: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Faraonov, Evgeniya I. Yudanova, Alexey V. Kuzmin, Salavat S. Khasanov, Sergey I. Troyanov, Akihiro Otsuka, Hideki Yamochi, Hiroshi Kitagawa, Dmitri V. Konarev|2023|CrystEngComm|25|4620|doi:10.1039/D3CE00564J
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: 10.6084/m9.figshare.24057843
title: Dataset of storm boulders along the coastline of Fenoliga Island, Premantura (Croatia)

description: 2 ESRI shapefile describing the classified storm boulders and the coastline of Fenoliga Island, Croatia.
DOI: 10.6084/m9.figshare.24057843.v1
title: Dataset of storm boulders along the coastline of Fenoliga Island, Premantura (Croatia)

description: 2 ESRI shapefile describing the classified storm boulders and the coastline of Fenoliga Island, Croatia.
DOI: 10.5281/zenodo.7688907
title: Data for: Grain structure evolution ahead of the die during friction extrusion of AA2024

description: Friction extrusion (FE) is a thermo-mechanical process using a rotating die to produce fully consolidated extrudates in different shapes, e.g. wires, rods and tubes. FE utilizes a non-consumable die to plastically deform material and to generate heat by friction due to the relative rotation between the die and feedstock. In this study, the FE process is applied to extrude the Al-Cu alloy AA2024 using a 90 degree scroll-featured die. The grain structure evolution induced by thermo-mechanical processing is analyzed, in particular using the electron backscatter diffraction technique. Introduction of severe plastic deformation and high temperature exposure induced by the die movement in radial and longitudinal directions relative to the materials enable grain refinement induced by dynamic recrystallization. The grain structure formation prior to deformation through the die orifice plays an essential role to obtain fully-recrystallized homogeneous wire.
DOI: 10.20394/a2y70gr1
title: British Geological Survey

description: BGS' Accessing Subsurface Knowledge (ASK) Dataset is an output from its Clyde Urban Super Project (CUSP). The data offers sub-surface descriptions of the Clyde valley, including both models and raw data. Coverage is of the greater Glasgow conurbation, from Motherwell and Wishaw in the east to Greenock and Port Glasgow in the west of the city. Individual datasets offer subsurface bedrock geology and uncertainty data as well as superficial deposits geology and uncertainty data.
DOI: 10.6084/m9.figshare.23897262.v1
title: Supplementary Material for: Level of inferior mesenteric artery ligation in sigmoid colon and rectal cancer surgery: analysis of apical lymph node metastasis and recurrence

description: Introduction: Whether high or low ligation of the inferior mesenteric artery (IMA) is optimal for treating sigmoid colon and rectal cancers is controversial. The present study aimed to compare outcomes of high and low ligation of the IMA and determine the adequate extent of IMA lymph node dissection. Methods: Subjects were 455 consecutive stage I-III colorectal cancer patients who underwent curative surgery between 2011 and 2019. We assessed the association between the level of IMA ligation and overall survival and recurrence-free survival (RFS) by using propensity score matching analysis. Clinicopathological features of IMA lymph node metastasis and recurrence patterns were analyzed. Results: After propensity score matching, the low ligation group had a significantly worse prognosis than that of the high ligation group for RFS (P=0.039). Positive IMA lymph nodes were associated with pathological T3 or T4 stage and N2 stage. IMA lymph node recurrences in the high ligation group occurred at the left and superior sides of the IMA root. In contrast, all recurrences in the low ligation group occurred at the left colic artery bifurcation. Conclusion: High ligation of IMA is oncologically safe. However, even with high ligation, care must be taken to ensure adequate lymph node dissection.
DOI: 10.5281/zenodo.7995786
title: Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach

description: Daily gridded lake surface temperature (LST) data (1979-2020) for each Great Lake - Superior (GLS), Michigan (GLM), Huron (GLH), Erie (GLE) and Ontario (GLO) - derived from LSTM detailed in Kayastha et al. (2023) paper: "Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach". Each matfile contains longitude (lon), latitude (lat), as well as the LST for each grid point. The files also contain the variable 'art1' (Area of Node-Base Control volume) required to calculate lake-wide average LST. The depth at each location (dep) is also provided.
DOI: 10.5281/zenodo.7995785
title: Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach

description: Daily gridded lake surface temperature (LST) data (1979-2020) for each Great Lake - Superior (GLS), Michigan (GLM), Huron (GLH), Erie (GLE) and Ontario (GLO) - derived from LSTM detailed in Kayastha et al. (2023) paper: "Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach". Each matfile contains longitude (lon), latitude (lat), as well as the LST for each grid point. The files also contain the variable 'art1' (Area of Node-Base Control volume) required to calculate lake-wide average LST. The depth at each location (dep) is also provided.
DOI: 10.21227/py61-wg26
title: Predicting disease-metabolite associations based on the metapath aggregation of tripartite heterogeneous networks

description: Metabolomics reveals the intricate relationship between diseases and metabolites, and identifies disease-specific characteristics and physiological abnormalities by analyzing metabolic changes in organisms, which is of great significance in disease prevention, diagnosis, treatment and pharmaceutical research. However, traditional biological experiments to verify disease-metabolite associations are time-consuming and costly, and the current computational approaches mostly rely on constructed disease-metabolite interaction networks, ignoring the influence of other biological entities. Therefore, this study proposes a novel deep learning model based on Metapath Aggregation of disease-microbe-metabolite Heterogeneous Networks (MAHN) to predict disease-related metabolites.Firstly, the association data among microbes, metabolites and diseases were extracted by integrating multiple databases, and a disease-microbe-metabolite heterogeneous network was constructed based on known associations, metabolite-metabolite, disease-disease and microbe-microbe similarities. Then, the graph convolutional neural network is employed to learn the feature representations of diseases and metabolites separately on different semantic networks with metapath length of 3, followed by the node-level and semantic-level attention to aggregate the embeddings of diseases and metabolites on different semantic networks with metapath length of 2 that fuse microbial information. Finally, the associations between diseases and metabolites are reconstructed using a bilinear decoder. The results demonstrated that the performance of the MAHN model outperforms the four latest algorithms in the five-fold cross-validation. Case studies further confirmed the consistency of the prediction results with relevant experimental validations.