cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7730641
title: Documentation datasets for APAV

description: Datasets used in documentation for APAV version 1.4.0. All datasets are from APT experiments of a Ag-doped GdBa2Cu3O7-x superconductor.
DOI: 10.5281/zenodo.7730640
title: Documentation datasets for APAV

description: Datasets used in documentation for APAV version 1.4.0. All datasets are from APT experiments of a Ag-doped GdBa2Cu3O7-x superconductor.
DOI: 10.5281/zenodo.7200131
title: HoloSet - A Dataset for Visual-Inertial Pose Estimation in Extended Reality

description: HoloSet was published at DATA'22 workshop at ACM SenSys'22. <br> <br> Overview: There is a lack of datasets for visual-inertial odometry applications in Mixed Reality (MR). To the best of our knowledge, there is no dataset available that is captured from an MR headset with a human as a carrier. To bridge this gap, we present a novel pose estimation dataset — called HoloSet — collected using Microsoft Hololens 2, which is a state-of-the-art head mounted device for XR. Potential applications for HoloSet include visual-inertial odometry, simultaneous localization and mapping (SLAM), and additional applications in XR that leverage visual-inertial data. HoloSet captures both macro and micro movements. For macro movements, the dataset consists of more than 66,000 samples of visual, inertial, and depth camera data in a variety of environments<br> (indoor, outdoor) and scene setups (trails, suburbs, downtown) under multiple user action scenarios (walk, jog). For micro movements, the dataset consists of more than 12,000 samples of additional articulated hand depth camera images while a user plays games that exercise fine motor skills and hand-eye coordination. We present basic visualizations and high-level statistics of the data and outline the potential research use cases for HoloSet.<br> <br> Please find the relevant publication at https://dl.acm.org/doi/abs/10.1145/3560905.3567763.
DOI: 10.5281/zenodo.7200130
title: HoloSet - A Dataset for Visual-Inertial Pose Estimation in Extended Reality

description: HoloSet was published at DATA'22 workshop at ACM SenSys'22. <br> <br> Overview: There is a lack of datasets for visual-inertial odometry applications in Mixed Reality (MR). To the best of our knowledge, there is no dataset available that is captured from an MR headset with a human as a carrier. To bridge this gap, we present a novel pose estimation dataset — called HoloSet — collected using Microsoft Hololens 2, which is a state-of-the-art head mounted device for XR. Potential applications for HoloSet include visual-inertial odometry, simultaneous localization and mapping (SLAM), and additional applications in XR that leverage visual-inertial data. HoloSet captures both macro and micro movements. For macro movements, the dataset consists of more than 66,000 samples of visual, inertial, and depth camera data in a variety of environments<br> (indoor, outdoor) and scene setups (trails, suburbs, downtown) under multiple user action scenarios (walk, jog). For micro movements, the dataset consists of more than 12,000 samples of additional articulated hand depth camera images while a user plays games that exercise fine motor skills and hand-eye coordination. We present basic visualizations and high-level statistics of the data and outline the potential research use cases for HoloSet.<br> <br> Please find the relevant publication at https://dl.acm.org/doi/abs/10.1145/3560905.3567763.
DOI: 10.5281/zenodo.3635923
title: Sub-pixel accuracy in electron detection using a convolutional neural network

description: <strong>Abstract</strong> Modern direct electron detectors (DEDs) provided a giant leap in the use of cryogenic electron microscopy (cryo-EM) to study the structures of macromolecules and complexes thereof. However, the currently available commercial DEDs, all based on the monolithic active pixel sensor, still require relative long exposure times and their best results have been obtained at 300 keV. There is a need for pixelated electron counting detectors that can be operated at a broader range of energies, at higher throughput and higher dynamic range. Hybrid Pixel Detectors (HPDs) of the Medipix family were reported to be unsuitable for cryo-EM at energies above 80 keV as those electrons would affect too many pixels. Here we show that the Timepix3, part of the Medipix family, can be used for cryo-EM applications at higher energies. We tested Timepix3 detectors on a 200 keV FEI Tecnai Arctica microscope and a 300 keV FEI Tecnai G2 Polara microscope. A correction method was developed to correct for per-pixel differences in output. Timepix3 data were simulated for individual electron events using the package Geant4Medipix. Global statistical characteristics of the simulated detector response were in good agreement with experimental results. A convolutional neural network (CNN) was trained using the simulated data to predict the incident position of the electron within a pixel cluster. After training, the CNN predicted, on average, .39 pixel and 0.42 pixel from the incident electron position for 200 keV and 300 keV electrons respectively. The CNN improved the MTF of experimental data at half Nyquist from 0.39 to 0.70 at 200 keV, and from 0.06 to 0.65 at 300 keV respectively. We illustrate that the useful dose-lifetime of a protein can be measured within a 1 second exposure using Timepix3. <strong>Data description</strong> Data has been split up in experimental data, simulations, neural net models and ToT correction results. In general: each directory contains individual READMEs with steps how to reproduce the data. <strong>Experimental data</strong> For each type of data at 200 kV or 300 kV only the input raw data has been added and the resulting image file. Intermediate files have been left out. <strong>Models</strong> The models are the CNN models generated at 200 and 300 kV. <strong>Simulated data</strong> The simulated data consists of the dataset used for training the neural network and the indepedently simulated validation set. <strong>ToT correction</strong> The ToT correction file only contain the resulting correction matrix. The experimental flat field data has been left out, due to its volume. It's about 300 GiB of data for both 200 and 300 kV. <strong>Software </strong> The software used can be found as related identifiers to this deposit.
DOI: 10.5281/zenodo.6612323
title: Data for "Revisiting the zonally asymmetric extratropical circulation of the Southern Hemisphere spring using complex empirical orthogonal functions"

description: Data used in "Revisiting the zonally asymmetric extratropical circulation of the Southern Hemisphere spring using complex empirical orthogonal functions"
DOI: 10.5281/zenodo.6612324
title: Data for "Revisiting the Austral Spring Extratropical Southern Hemisphere zonally asymmetric circulation using complex Empirical Orthogonal Functions"

description: Data used in "Revisiting the Austral Spring Extratropical Southern Hemisphere zonally asymmetric circulation using complex Empirical Orthogonal Functions"
DOI: 10.5281/zenodo.6612429
title: Data for "Revisiting the Austral Spring Extratropical Southern Hemisphere zonally asymmetric circulation using complex Empirical Orthogonal Functions"

description: Data used in "Revisiting the Austral Spring Extratropical Southern Hemisphere zonally asymmetric circulation using complex Empirical Orthogonal Functions"
DOI: 10.5281/zenodo.7730671
title: Data for "Revisiting the zonally asymmetric extratropical circulation of the Southern Hemisphere spring using complex empirical orthogonal functions"

description: Data used in "Revisiting the zonally asymmetric extratropical circulation of the Southern Hemisphere spring using complex empirical orthogonal functions"
DOI: 10.5281/zenodo.7708270
title: Slakh2100-16k

description: <strong>Introduction:</strong> This is a variant of Slakh2100 dataset (2019, Manilow et al.) resampled in `16 kHz-mono-16-bit-flac` format. `omitted` directory of the original dataset is reduced. A license for redistribution is attached. Please see the link below for more details. The Synthesized Lakh (Slakh) Dataset is a dataset of multi-track audio and aligned MIDI for music source separation and multi-instrument automatic transcription. Individual MIDI tracks are synthesized from the Lakh MIDI Dataset v0.1 using professional-grade sample-based virtual instruments, and the resulting audio is mixed together to make musical mixtures. This release of Slakh, called Slakh2100, contains 2100 automatically mixed tracks and accompanying, aligned MIDI files, synthesized from 187 instrument patches categorized into 34 classes, totaling 145 hours of mixture data. <strong>Citing Slakh:</strong> If you use Slakh2100 or generate data using the same method we ask that you cite it using the following bibtex entry: <pre><code>@inproceedings{manilow2019cutting, title={Cutting Music Source Separation Some {Slakh}: A Dataset to Study the Impact of Training Data Quality and Quantity}, author={Manilow, Ethan and Wichern, Gordon and Seetharaman, Prem and Le Roux, Jonathan}, booktitle={Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)}, year={2019}, organization={IEEE} }</code></pre>
DOI: 10.18112/openneuro.ds004529.v1.1.0
title: Modeling Face Recognition in the Predictive Coding Framework: A Combined Computational Modeling and Functional Imaging Study - Stage 2
DOI: 10.6084/m9.figshare.13114612
title: CBTp for people with treatment refractory schizophrenia on clozapine: a systematic review and meta-analysis

description: Cognitive behavioural therapy for psychosis (CBTp), an effective treatment for people with schizophrenia, may have a role in clozapine refractory schizophrenia. A systematic-review and meta-analysis on the impact of CBTp on psychotic symptoms in people on clozapine. We searched PubMed, Embase, PsycInfo, CINAHL and Cochrane for randomised control trials of CBTp as augmentation in people with treatment-refractory schizophrenia on clozapine and conducted pair-wise meta-analyses. Four studies met inclusion criteria. On pairwise meta-analyses, the primary outcome of total psychotic symptoms was not significantly altered by CBTp at either therapy endpoint or six to twelve months follow-up. Secondary outcomes showed that CBT improved positive symptoms at both therapy endpoint (SMD −0.33, 95%CI −0.50 to −0.16, <i>p</i> = 0.002, I<sup>2</sup> = 0%) and six to twelve months follow-up (SMD −0.20, 95%CI −0.38 to −0.02, <i>p</i> = 0.03, I<sup>2</sup> = 0%) though did not alter negative psychotic symptoms at either timepoint. CBTp may lead to small benefits for positive symptoms refractory to clozapine. Given the low risks associated with CBTp, and the limited alternative options for clozapine refractory schizophrenia, this approach should be considered in this population.
DOI: 10.6084/m9.figshare.13114612.v1
title: CBTp for people with treatment refractory schizophrenia on clozapine: a systematic review and meta-analysis

description: Cognitive behavioural therapy for psychosis (CBTp), an effective treatment for people with schizophrenia, may have a role in clozapine refractory schizophrenia. A systematic-review and meta-analysis on the impact of CBTp on psychotic symptoms in people on clozapine. We searched PubMed, Embase, PsycInfo, CINAHL and Cochrane for randomised control trials of CBTp as augmentation in people with treatment-refractory schizophrenia on clozapine and conducted pair-wise meta-analyses. Four studies met inclusion criteria. On pairwise meta-analyses, the primary outcome of total psychotic symptoms was not significantly altered by CBTp at either therapy endpoint or six to twelve months follow-up. Secondary outcomes showed that CBT improved positive symptoms at both therapy endpoint (SMD −0.33, 95%CI −0.50 to −0.16, <i>p</i> = 0.002, I<sup>2</sup> = 0%) and six to twelve months follow-up (SMD −0.20, 95%CI −0.38 to −0.02, <i>p</i> = 0.03, I<sup>2</sup> = 0%) though did not alter negative psychotic symptoms at either timepoint. CBTp may lead to small benefits for positive symptoms refractory to clozapine. Given the low risks associated with CBTp, and the limited alternative options for clozapine refractory schizophrenia, this approach should be considered in this population.
DOI: 10.6084/m9.figshare.14607468
title: Optimising response rates in a national postal survey evaluating community mental health care: four interventions trialled

description: The Community Mental Health Survey (CMHS) is a valuable resource of information on experiences of mental health care in England; however, response rates are declining. To increase the overall response rate and response rate of young adult service users. Four interventions were trialled in a randomised controlled study design alongside the 2017 CMHS. The questionnaire and information letters were modified based on an established framework for influencing behaviour. The modified materials plus a pre-notification card were tested to increase the overall response rate, identified by one-sided <i>z</i>-tests between the intervention and control groups. An information flyer was modified to target service users age 18 to 35, tested using multilevel logistic regression. The overall response rate significantly increased with the modified information letters compared to the control (29.1% vs. 25.1%; <i>p</i> = 0.007). The targeted information flyer did not increase responses from younger service users; though the combination of modified information letters and questionnaire did (24.6% vs. 15.8%; <i>p</i> = 0.01). Modifying information letters based on the easy, attractive, social and timely (EAST) framework can increase response rate in postal surveys evaluating community mental health care. Modified letters combined with a modified questionnaire can increase the response from younger service users.
DOI: 10.6084/m9.figshare.14607468.v1
title: Optimising response rates in a national postal survey evaluating community mental health care: four interventions trialled

description: The Community Mental Health Survey (CMHS) is a valuable resource of information on experiences of mental health care in England; however, response rates are declining. To increase the overall response rate and response rate of young adult service users. Four interventions were trialled in a randomised controlled study design alongside the 2017 CMHS. The questionnaire and information letters were modified based on an established framework for influencing behaviour. The modified materials plus a pre-notification card were tested to increase the overall response rate, identified by one-sided <i>z</i>-tests between the intervention and control groups. An information flyer was modified to target service users age 18 to 35, tested using multilevel logistic regression. The overall response rate significantly increased with the modified information letters compared to the control (29.1% vs. 25.1%; <i>p</i> = 0.007). The targeted information flyer did not increase responses from younger service users; though the combination of modified information letters and questionnaire did (24.6% vs. 15.8%; <i>p</i> = 0.01). Modifying information letters based on the easy, attractive, social and timely (EAST) framework can increase response rate in postal surveys evaluating community mental health care. Modified letters combined with a modified questionnaire can increase the response from younger service users.
DOI: 10.5281/zenodo.7717249
title: Slakh2100-16k for YourMT3

description: <strong>About this version:</strong> This is a variant of Slakh2100 dataset (Manilow, 2019) resampled in '16 kHz-mono-16-bit-wav' format. We redistribute this data as a part of YourMT3 project. The license for redistribution is attached. Note that the 'omitted' directory of the slakh2100-redux version is reduced in this version. Thus, we have three splits: train, validation and test. <strong>MIRData integration:</strong> Like the previous version of Slakh, this version will also be integrated into the MIRData (Bittner, 2019) project for convenient use. For this we provide an index file in 'json' format. The code for the customized MIRData is included in our YourMT3 project. <strong>Citing YourMT3:</strong> <pre><code>@misc{sungkyun_chang_2022_7470191, author = {Sungkyun Chang and Simon Dixon and Emmanouil Benetos}, title = {{YourMT3: a toolkit for training multi-task and multi-track music transcription model for everyone}}, month = dec, year = 2022, note = {{(Poster) Presented at DMRN+17: Digital Music Research Network One-day Workshop 2022}}, publisher = {Zenodo}, doi = {10.5281/zenodo.7470191}, url = {https://doi.org/10.5281/zenodo.7470191} }</code></pre> <strong>About Slakh2100:</strong> The Synthesized Lakh (Slakh) Dataset is a dataset of multi-track audio and aligned MIDI for music source separation and multi-instrument automatic transcription. Individual MIDI tracks are synthesized from the Lakh MIDI Dataset v0.1 using professional-grade sample-based virtual instruments, and the resulting audio is mixed together to make musical mixtures. This release of Slakh, called Slakh2100, contains 2100 automatically mixed tracks and accompanying, aligned MIDI files, synthesized from 187 instrument patches categorized into 34 classes, totaling 145 hours of mixture data. <strong>Citing Slakh & MIRData:</strong> <pre><code>@inproceedings{manilow2019cutting, title={Cutting Music Source Separation Some {Slakh}: A Dataset to Study the Impact of Training Data Quality and Quantity}, author={Manilow, Ethan and Wichern, Gordon and Seetharaman, Prem and Le Roux, Jonathan}, booktitle={Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)}, year={2019}, organization={IEEE} }</code></pre> <pre><code>@inproceedings{ bittner_fuentes_2019, title={mirdata: Software for Reproducible Usage of Datasets}, author={Bittner, Rachel M and Fuentes, Magdalena and Rubinstein, David and Jansson, Andreas and Choi, Keunwoo and Kell, Thor}, booktitle={International Society for Music Information Retrieval (ISMIR) Conference}, year={2019} }</code></pre> <strong>Acknowledgement:</strong> We thank the Zenodo team for allowing us additional storage.
DOI: 10.5281/zenodo.7708269
title: Slakh2100-16k for YourMT3

description: <strong>About this version:</strong> This is a variant of Slakh2100 dataset (Manilow, 2019) resampled in '16 kHz-mono-16-bit-wav' format. We redistribute this data as a part of YourMT3 project. The license for redistribution is attached. Note that the 'omitted' directory of the slakh2100-redux version is reduced in this version. Thus, we have three splits: train, validation and test. <strong>MIRData integration:</strong> Like the previous version of Slakh, this version will also be integrated into the MIRData (Bittner, 2019) project for convenient use. For this we provide an index file in 'json' format. The code for the customized MIRData is included in our YourMT3 project. <strong>Citing YourMT3:</strong> <pre><code>@misc{sungkyun_chang_2022_7470191, author = {Sungkyun Chang and Simon Dixon and Emmanouil Benetos}, title = {{YourMT3: a toolkit for training multi-task and multi-track music transcription model for everyone}}, month = dec, year = 2022, note = {{(Poster) Presented at DMRN+17: Digital Music Research Network One-day Workshop 2022}}, publisher = {Zenodo}, doi = {10.5281/zenodo.7470191}, url = {https://doi.org/10.5281/zenodo.7470191} }</code></pre> <strong>About Slakh2100:</strong> The Synthesized Lakh (Slakh) Dataset is a dataset of multi-track audio and aligned MIDI for music source separation and multi-instrument automatic transcription. Individual MIDI tracks are synthesized from the Lakh MIDI Dataset v0.1 using professional-grade sample-based virtual instruments, and the resulting audio is mixed together to make musical mixtures. This release of Slakh, called Slakh2100, contains 2100 automatically mixed tracks and accompanying, aligned MIDI files, synthesized from 187 instrument patches categorized into 34 classes, totaling 145 hours of mixture data. <strong>Citing Slakh & MIRData:</strong> <pre><code>@inproceedings{manilow2019cutting, title={Cutting Music Source Separation Some {Slakh}: A Dataset to Study the Impact of Training Data Quality and Quantity}, author={Manilow, Ethan and Wichern, Gordon and Seetharaman, Prem and Le Roux, Jonathan}, booktitle={Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)}, year={2019}, organization={IEEE} }</code></pre> <pre><code>@inproceedings{ bittner_fuentes_2019, title={mirdata: Software for Reproducible Usage of Datasets}, author={Bittner, Rachel M and Fuentes, Magdalena and Rubinstein, David and Jansson, Andreas and Choi, Keunwoo and Kell, Thor}, booktitle={International Society for Music Information Retrieval (ISMIR) Conference}, year={2019} }</code></pre> <strong>Acknowledgement:</strong> We thank the Zenodo team for allowing us additional storage.
DOI: 10.6084/m9.figshare.22266334.v1
title: Data_Escala de Satisfacción Académica en estudiantes.xlsx

description: <strong>Diseño y validación de una escala de satisfacción académica en estudiantes de Enfermería de una universidad pública peruana</strong>
DOI: 10.6084/m9.figshare.21823455.v28
title: The ReptileEvolution.com Project

description: Taxon exclusion is the number one problem currently vexing paleontology. The search for pterosaur, turtle, bat, snake, whale, reptile and tetrapod ancestors continues to unnecessarily befuddle paleontologists who continue to work from cherry-picked, textbook and traditional taxon lists that overlook and omit pertinent taxa. That’s why the large reptile tree (LRT), the nearly completely resolved cladogram at the heart of www.ReptileEvolution.com, includes 2212 taxa. Larger taxon numbers minimize taxon exclusion issues. Results indicate the simple act of adding taxa resolves all phylogenetic issues.
DOI: 10.6084/m9.figshare.22266334
title: Data_Escala de Satisfacción Académica en estudiantes.xlsx

description: <strong>Diseño y validación de una escala de satisfacción académica en estudiantes de Enfermería de una universidad pública peruana</strong>
DOI: 10.6084/m9.figshare.3761562.v2524
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.13012/b2idb-9627482_v1
title: Historical and future CESM climate simulations from: Large humidity effects on urban heat exposure and cooling challenges under climate change

description: This dataset contains the historical and future (SSP3 and RCP7.0) CESM climate simulations used in the article "Large humidity effects on urban heat exposure and cooling challenges under climate change" (upcoming). Further details about these simulations can be found in the article. This dataset documents the monthly mean projections of air temperature, wet-bulb temperature, precipitation, relative humidity, and numerous other climatic variables for 2000-2009 (for the historical run) and for 2015-2100 (for the future projection under SSP3-RCP7). This dataset may be useful for urban planners, climate scientists, and decision-makers interested in changes in urban and rural climate under climate change.
DOI: 10.5517/ccdc.csd.cc2dcf6f
title: CCDC 2215514: Experimental Crystal Structure Determination

description: Related Article: Andreas Dürrmann, Gerald Hörner, Birgit Weber|2023|Cryst.Growth Des.|23|1743|doi:10.1021/acs.cgd.2c01287
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.