cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.22775312
title: Supporting data for "Effect of Age of First Exposure on L2 Contextual Lexical Semantic Learning: Evidence from Event-Related Potentials"

description: This dataset contains the data collected for the dissertation "Effect of Age of First Exposure on L2 Contextual Lexical Semantic Learning: Evidence from Event-Related Potentials". This research is mainly to elucidate the influence of age of first exposure (AoFE) to L2 on the process of integrating novel words into both episodic and semantic memory systems under multi-contexts. The whole thesis contained three separate studies. These datasets include both the ERP data that is obtained from processing the raw EEG data collected in the EEG experiment and the democratic and behavioral data that is obtained by requiring participants to complete a series of tasks including the behavioral task in the EEG experiment as well as the tests and questionnaires related to second language learning. There are in total 87 valid participants for the whole research, and all of them participate both in the EEG experiment and in the tests and questionnaires.
DOI: 10.25442/hku.22775312.v1
title: Supporting data for "Effect of Age of First Exposure on L2 Contextual Lexical Semantic Learning: Evidence from Event-Related Potentials"

description: This dataset contains the data collected for the dissertation "Effect of Age of First Exposure on L2 Contextual Lexical Semantic Learning: Evidence from Event-Related Potentials". This research is mainly to elucidate the influence of age of first exposure (AoFE) to L2 on the process of integrating novel words into both episodic and semantic memory systems under multi-contexts. The whole thesis contained three separate studies. These datasets include both the ERP data that is obtained from processing the raw EEG data collected in the EEG experiment and the democratic and behavioral data that is obtained by requiring participants to complete a series of tasks including the behavioral task in the EEG experiment as well as the tests and questionnaires related to second language learning. There are in total 87 valid participants for the whole research, and all of them participate both in the EEG experiment and in the tests and questionnaires.
DOI: 10.5519/qd.fm0gprmb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3102 records)
DOI: 10.18112/openneuro.ds004196.v1.0.27
title: FMRI-EEG Prestudy
DOI: 10.5281/zenodo.7941080
title: DeepHisto: Dataset for glioma subtype classification from Whole Slide Images

description: DeepHisto dataset contains tiles (patches) of hematoxylin and eosin stained Whole Slide Images (WSI) of 28 adult-type diffuse glioma cases collected at the National Center of Pathology (NCP), Luxembourg National Health Laboratory (Laboratoire national de santé - LNS) from 2017 to 2021. WSIs were acquired with an IntelliSite Ultra Fast digital slide scanner from Philips containing a 20x/0.75 NA Plan Apo objective with an average slide resolution of 0.25um/pixel. Three primary diffuse glioma subtypes are classified into IDH-mutant, 1p/19q codeleted oligodendroglioma, IDH-mutant astrocytoma, and IDH-wildtype glioblastoma according to the 5th edition of the WHO classification of central nervous system tumors. The brain WSIs of a non-cancer patients were used as normal brain (white and gray matter) controls. Region annotation of WSIs was done by a board-certified pathologist, and the regions of interest are further divided into square 512×512 tiles, each of them associated with a particular class denoting the respective tumor entity, normal brain tissue or necrosis.<br> Tiles are further divided into training and test subsets patient-wise.
description: This work was supported by the Luxembourg National Research Fund (FNR) grants C21/BM/15739125/DIOMEDES and PEARL P16/BM/11192868.
DOI: 10.5281/zenodo.7941079
title: DeepHisto: Dataset for glioma subtype classification from Whole Slide Images

description: DeepHisto dataset contains tiles (patches) of hematoxylin and eosin stained Whole Slide Images (WSI) of 28 adult-type diffuse glioma cases collected at the National Center of Pathology (NCP), Luxembourg National Health Laboratory (Laboratoire national de santé - LNS) from 2017 to 2021. WSIs were acquired with an IntelliSite Ultra Fast digital slide scanner from Philips containing a 20x/0.75 NA Plan Apo objective with an average slide resolution of 0.25um/pixel. Three primary diffuse glioma subtypes are classified into IDH-mutant, 1p/19q codeleted oligodendroglioma, IDH-mutant astrocytoma, and IDH-wildtype glioblastoma according to the 5th edition of the WHO classification of central nervous system tumors. The brain WSIs of a non-cancer patients were used as normal brain (white and gray matter) controls. Region annotation of WSIs was done by a board-certified pathologist, and the regions of interest are further divided into square 512×512 tiles, each of them associated with a particular class denoting the respective tumor entity, normal brain tissue or necrosis.<br> Tiles are further divided into training and test subsets patient-wise.
description: This work was supported by the Luxembourg National Research Fund (FNR) grants C21/BM/15739125/DIOMEDES and PEARL P16/BM/11192868.
DOI: 10.6084/m9.figshare.22955261
title: Supplementary tables S2 and S3 from the paper "Landscape heterogeneity and soil biota are central to multi-taxa diversity for landscape restoration"

description: Supplementary tables S2 " Variation in connectivity of the network for beta diversity, turnover and nestedness by including contrasting metrics of vegetation structural complexity and soil conditions" and S3 "Number of undirected edges of the network for beta diversity, turnover and nestedness at different combinations of variables "
DOI: 10.6084/m9.figshare.22955234.v1
title: Complete_Dataset_2.zip

description: Dataset for facial recognition containing celebrities from: https://www.kaggle.com/datasets/vishesh1412/celebrity-face-image-dataset With additional classes added.
DOI: 10.6084/m9.figshare.22955234.v2
title: Complete_Dataset_2.zip

description: Dataset for facial recognition containing celebrities from: https://www.kaggle.com/datasets/vishesh1412/celebrity-face-image-dataset With additional classes added.
DOI: 10.48420/22337503
title: Supplementary research data for a PhD thesis by Michael Haycox titled: 'The identification of neuronal binding partners for human soluble amyloid precursor protein alpha'

description: One option for treating dementia could be to protect neurons from damage through the use of neuroprotective molecules, such as sAPPα. This thesis used two unbiased receptor identification methods to identify sAPPα and sAPPβ binding partners in neuronal cells with the aim of identifying novel therapeutic targets. Calsyntenin-3 was identified as a novel binding partner which was required for the binding of sAPPα to neuronal cells. <br> Included are four separate files containing the full lists of identified proteins for microbead based and QCM-D based pulldowns using sAPPα and sAPPβ. File #1 contains the proteins identified from pulldowns 1 and 2 using SH-SY5Y cells with sAPPα, sAPPβ or the OKT9 antibody. These samples were analysed through GeLC-MS/MS using an Orbitrap Elite (ThermoFisher Scientific) mass spectrometer. File #2 contains the proteins identified from pulldown 3 using SH-SY5Y cells with sAPPα, sAPPβ or the OKT9 antibody. These samples were analysed through GeLC-MS/MS using a Thermo QE HF with U3000 nanoUPLC mass spectrometer. File #3 contains the proteins identified from human immortalised cell membrane-enriched exract, isolated using QCM-D and sAPPα or sAPPβ. These samples were analysed through GeLC-MS/MS using an Orbitrap Elite (ThermoFisher Scientific) mass spectrometer. File #4 contains the proteins identified from human iPSC-derived neuron cell lysate, isolated using QCM-D and sAPPα, sAPPβ or a negative control. These samples were analysed through GeLC-MS/MS using an Orbitrap Elite (ThermoFisher Scientific) mass spectrometer. <br> These data support a PhD thesis titled 'The identification of neuronal binding partners for human soluble amyloid precursor protein alpha' by Michael Haycox at The University of Manchester.
DOI: 10.48420/22337503.v1
title: Supplementary research data for a PhD thesis by Michael Haycox titled: 'The identification of neuronal binding partners for human soluble amyloid precursor protein alpha'

description: One option for treating dementia could be to protect neurons from damage through the use of neuroprotective molecules, such as sAPPα. This thesis used two unbiased receptor identification methods to identify sAPPα and sAPPβ binding partners in neuronal cells with the aim of identifying novel therapeutic targets. Calsyntenin-3 was identified as a novel binding partner which was required for the binding of sAPPα to neuronal cells. <br> Included are four separate files containing the full lists of identified proteins for microbead based and QCM-D based pulldowns using sAPPα and sAPPβ. File #1 contains the proteins identified from pulldowns 1 and 2 using SH-SY5Y cells with sAPPα, sAPPβ or the OKT9 antibody. These samples were analysed through GeLC-MS/MS using an Orbitrap Elite (ThermoFisher Scientific) mass spectrometer. File #2 contains the proteins identified from pulldown 3 using SH-SY5Y cells with sAPPα, sAPPβ or the OKT9 antibody. These samples were analysed through GeLC-MS/MS using a Thermo QE HF with U3000 nanoUPLC mass spectrometer. File #3 contains the proteins identified from human immortalised cell membrane-enriched exract, isolated using QCM-D and sAPPα or sAPPβ. These samples were analysed through GeLC-MS/MS using an Orbitrap Elite (ThermoFisher Scientific) mass spectrometer. File #4 contains the proteins identified from human iPSC-derived neuron cell lysate, isolated using QCM-D and sAPPα, sAPPβ or a negative control. These samples were analysed through GeLC-MS/MS using an Orbitrap Elite (ThermoFisher Scientific) mass spectrometer. <br> These data support a PhD thesis titled 'The identification of neuronal binding partners for human soluble amyloid precursor protein alpha' by Michael Haycox at The University of Manchester.
DOI: 10.5281/zenodo.7949940
title: ZeroCostDL4Mic - Stardist 2D example training and test dataset (light)

description: <strong>Name</strong>: ZeroCostDL4Mic - Stardist 2D example training and test dataset (light) (see our Wiki for details) <strong>Data type</strong>: Paired microscopy images (fluorescence) and corresponding masks <strong>Microscopy data type</strong>: Fluorescence microscopy (SiR-DNA) and masks obtained via manual segmentation (see https://github.com/HenriquesLab/ZeroCostDL4Mic/wiki/Stardist for details about the segmentation) <strong>Microscope</strong>: Spinning disk confocal microscope with a 20x 0.8 NA objective <strong>Cell type</strong>: DCIS.COM LifeAct-RFP cells <strong>File format</strong>: .tif (16-bit for fluorescence and 8 and 16-bit for the masks) <strong>Image size</strong>: 1024x1024 (Pixel size: 634 nm) <strong>Author(s)</strong>: Johanna Jukkala<sup>1,2</sup> and Guillaume Jacquemet<sup>1,2</sup> <strong>Contact email</strong>: guillaume.jacquemet@abo.fi <strong>Affiliation</strong> : 1) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland 2) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland <strong>Funding bodies</strong>: G.J. was supported by grants awarded by the Academy of Finland, the Sigrid Juselius Foundation and Åbo Akademi University Research Foundation (CoE CellMech) and by Drug Discovery and Diagnostics strategic funding to Åbo Akademi University.
DOI: 10.5281/zenodo.7949939
title: ZeroCostDL4Mic - Stardist 2D example training and test dataset (light)

description: <strong>Name</strong>: ZeroCostDL4Mic - Stardist 2D example training and test dataset (light) (see our Wiki for details) <strong>Data type</strong>: Paired microscopy images (fluorescence) and corresponding masks <strong>Microscopy data type</strong>: Fluorescence microscopy (SiR-DNA) and masks obtained via manual segmentation (see https://github.com/HenriquesLab/ZeroCostDL4Mic/wiki/Stardist for details about the segmentation) <strong>Microscope</strong>: Spinning disk confocal microscope with a 20x 0.8 NA objective <strong>Cell type</strong>: DCIS.COM LifeAct-RFP cells <strong>File format</strong>: .tif (16-bit for fluorescence and 8 and 16-bit for the masks) <strong>Image size</strong>: 1024x1024 (Pixel size: 634 nm) <strong>Author(s)</strong>: Johanna Jukkala<sup>1,2</sup> and Guillaume Jacquemet<sup>1,2</sup> <strong>Contact email</strong>: guillaume.jacquemet@abo.fi <strong>Affiliation</strong> : 1) Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, 20520 Turku, Finland 2) Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland <strong>Funding bodies</strong>: G.J. was supported by grants awarded by the Academy of Finland, the Sigrid Juselius Foundation and Åbo Akademi University Research Foundation (CoE CellMech) and by Drug Discovery and Diagnostics strategic funding to Åbo Akademi University.
DOI: 10.18712/nsd-nsd2935-v3
title: Quality of Life Survey 2020

description: In March 2020 Statistics Norway (SSB) conducted a national survey on quality of life. The main purpose of the survey was to get knowledge on Norwegian’s quality of life, and study differences between population groups. Questions on general satisfaction with life, satisfaction with different areas of life, optimism for the future, general engagement, management of life, social relations and positive and negative feelings were asked in the survey.
DOI: 10.13140/rg.2.2.29772.39043
title: Trait data for: Towards multivariate functional trait syndromes: Predicting foliar water uptake in trees
DOI: 10.4121/0c547a41-9633-4b8e-bf24-3d2f61a204db
title: Supplementary data for the PhD thesis ''A cyclostratigraphic approach to reservoir characterization of low net-to-gross alluvial systems''

description: Here you can find the part of the supplementary data files for the PhD thesis "A cyclostratigraphic approach to reservoir characterization in low net-to-gross alluvial systems''. There rest of the supplementary data is shared within the thesis itself<br>Provided are:Ch5S2 - Stable Isotope record Gillmore HillCh5S3 - Channel margins documentation McCullough PeaksCh8S6 - Stable Isotope record Upper Lunde Formation<br>
DOI: 10.4121/0c547a41-9633-4b8e-bf24-3d2f61a204db.v1
title: Supplementary data for the PhD thesis ''A cyclostratigraphic approach to reservoir characterization of low net-to-gross alluvial systems''

description: Here you can find the part of the supplementary data files for the PhD thesis "A cyclostratigraphic approach to reservoir characterization in low net-to-gross alluvial systems''. There rest of the supplementary data is shared within the thesis itself<br>Provided are:Ch5S2 - Stable Isotope record Gillmore HillCh5S3 - Channel margins documentation McCullough PeaksCh8S6 - Stable Isotope record Upper Lunde Formation<br>
DOI: 10.5281/zenodo.7696469
title: Bandgap fluctuations and robustness in two-dimensional hyperuniform dielectric materials

description: These are the data associated with the paper "Bandgap fluctuations and robustness in two-dimensional hyperuniform dielectric materials" published in <em>Optics Express</em> <strong>31</strong>, 18509 (2023) gapsFrequenciesAndWidths.h5: each line of the table lists the largest and second largest gap widths and frequencies in GHz for all 5000 samples studied in the paper Column Quantity 0 \(\chi\) 1 largest gap frequency (GHz) 2 largest gap width (GHz) 3 second largest gap frequency (GHz) 4 second largest gap width (GHz) DOS.h5: normalized density of states as a function of the frequency (GHz) averaged over all samples for all \(\chi\) values studied in the paper Column Quantity 0 \(\chi\) 1 Frequency (GHz) 2 nDOS
description: This work was supported by the French government, through the UCAJEDI Investments in the Future project managed by the National Research Agency (ANR) under reference number ANR-15-IDEX-01. The authors are grateful to the OPAL infrastructure and the Université Côte d'Azur's Center for High-Performance Computing for providing resources and support.
DOI: 10.5281/zenodo.7696468
title: Bandgap fluctuations and robustness in two-dimensional hyperuniform dielectric materials

description: These are the data associated with the paper "Bandgap fluctuations and robustness in two-dimensional hyperuniform dielectric materials" published in <em>Optics Express</em> <strong>31</strong>, 18509 (2023) gapsFrequenciesAndWidths.h5: each line of the table lists the largest and second largest gap widths and frequencies in GHz for all 5000 samples studied in the paper Column Quantity 0 \(\chi\) 1 largest gap frequency (GHz) 2 largest gap width (GHz) 3 second largest gap frequency (GHz) 4 second largest gap width (GHz) DOS.h5: normalized density of states as a function of the frequency (GHz) averaged over all samples for all \(\chi\) values studied in the paper Column Quantity 0 \(\chi\) 1 Frequency (GHz) 2 nDOS
description: This work was supported by the French government, through the UCAJEDI Investments in the Future project managed by the National Research Agency (ANR) under reference number ANR-15-IDEX-01. The authors are grateful to the OPAL infrastructure and the Université Côte d'Azur's Center for High-Performance Computing for providing resources and support.
DOI: 10.34740/kaggle/dsv/5721435
title: AutoXGB
DOI: 10.5281/zenodo.7773721
title: third-octave and mel data from Dcase Task 1 own train/valid/test split

description: This zip file contains all the train/valid/test split used for the transcoder experiment.
DOI: 10.5281/zenodo.7773722
title: third-octave and mel data from Dcase Task 1 own train/valid/test split

description: This zip file contains all the train/valid/test split used for the transcoder experiment.
DOI: 10.25625/fp7p6k/m6mcfs
title: rubber_vulnerability.tab

description: vulnerability to cavitation data from rubber trees (Cavitron method)
DOI: 10.25625/fp7p6k/vgxo3w
title: all_data_rubber.tab

description: Here all measured traits for rubber can be found with additional data at the plot-level like soil humidity, VPD, and air temperature for the year 2017 and 2018 (an also for the dry season). Stem density and plot age can also be found.
DOI: 10.25625/fp7p6k
title: Plasticity of wood and leaf traits related to hydraulic efficiency and safety is linked to evaporative demand and not soil moisture in rubber (Hevea brasiliensis)

description: Datasets including all functional traits and all vulnerability curve data measured on rubber trees in Harapan landscape in the framework of CRC 990 EFForTS. Data where collected in 2017 and 2018 by group B04
DOI: 10.17864/1947.211
title: Perceptions of physicians in Saudi Arabia on the use of international clinical guidelines for managing primary insomnia

description: This dataset is comprised of verbatim transcriptions from recordings of face-to-face interviews with physicians who are authorised to prescribe benzodiazepines and z-drugs at King Fahad Central Hospital in Jazan, Saudi Arabia. Interviews were conducted to understand physicians’ perceptions of and attitudes towards using international guidelines to manage their patients with insomnia. Verbatim transcripts of the interviews were entered into NVivo 11 and analysed using thematic analysis. Themes were generated from the data expressing physicians’ knowledge of, resistance to, and barriers and facilitators to the use of international guidelines.
description: Fifteen physicians from a tertiary hospital, Saudi Arabia took part in English semi-structured, audio-recorded interviews. Verbatim transcripts were prepared using Microsoft Word 11 and labelled using the unique numbers.
description: Transcribed data were entered into NVivo 11 software for coding.
DOI: 10.17864/1947.000419
title: User-friendly point-of-use instructions for home use diagnostic tests

description: This toolkit provides guidance for producing clear and user-friendly point-of-use instructions for testing kits. It is for: - manufacturers and distributors of tests - service providers who might want to brief designers and content specialists - content specialists and designers who need information about producing instructional text This guidance includes: - information about what you should consider when producing user-friendly instructions, based on the findings of research and good practice - examples of how the guidance has been applied by those who implement policy in diagnostic companies The toolkit has been designed primarily to support instructions in a static/fixed page layout.
DOI: 10.5281/zenodo.6590745
title: Dataset TrainBatch1 for the MICCAI-2022-Challenge: Airway Tree Modeling (ATM'22)

description: Dataset for the MICCAI-2022-Challenge: Airway Tree Modeling (ATM'22) This is the TrainBatch1. If you use this dataset in your research, you must cite the papers in the References below !!!
description: {"references": ["Zhang M, Wu Y, Zhang H, et al. Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation[J]. arXiv preprint arXiv:2303.05745, 2023.", "Zhang M, Zhang H, Yang G Z, et al. CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs[C]//Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2022: 25th International Conference, Singapore, September 18\u201322, 2022, Proceedings, Part I. Cham: Springer Nature Switzerland, 2022: 506-516.", "Zheng H, Qin Y, Gu Y, et al. Alleviating class-wise gradient imbalance for pulmonary airway segmentation[J]. IEEE Transactions on Medical Imaging, 2021, 40(9): 2452-2462.", "Yu W, Zheng H, Zhang M, et al. BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding[C]//2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022: 1-5.", "Qin Y, Chen M, Zheng H, et al. Airwaynet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019: 212-220."]}