cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5094460
title: Reporting uncertified science in the news media during the Covid-19 pandemic

description: Preprints have established a stable position in the dissemination of scientific findings. This position has been reinforced by the Covid-19 pandemic, which required the rapid dissemination of new scientific information. However, in most cases, preprints have not undergone peer review and, as a consequence, lack the scientific rigor of other scientific publications such as journal articles. This presents a challenge for journalists who are tasked with keeping the public informed about the latest scientific developments in the context of great uncertainty during a global pandemic. Having to report on rapidly changing circumstances under increasing pressure from social media while also having to compete for attention in a saturated media landscape might place strain on the adherence to journalistic norms. This does not only have implications in terms of the case-by-case accuracy of reporting, but on the public perception of science at large. This paper investigates the reporting of scientific information from pre-preprints based on a sample of 2,877 online news articles related to Covid-19 in the South African news media. Our results show that despite the publication of guidelines for reporting on preprints in the media, there is still a way to go regarding the judicious use of scientific information from preprints by journalists. The dataset includes the table of the 2,877 online news articles as well as the analysis done (as separate tables). Fields in the dataset: Full Text, Headline, ID, Publication Date, Site Name,URL,Syndicated, Covid-related scientific research findings,<br> Preprint, Title, Authors,DOI, Archive / journal, URL
DOI: 10.5281/zenodo.5094459
title: Reporting uncertified science in the news media during the Covid-19 pandemic

description: Preprints have established a stable position in the dissemination of scientific findings. This position has been reinforced by the Covid-19 pandemic, which required the rapid dissemination of new scientific information. However, in most cases, preprints have not undergone peer review and, as a consequence, lack the scientific rigor of other scientific publications such as journal articles. This presents a challenge for journalists who are tasked with keeping the public informed about the latest scientific developments in the context of great uncertainty during a global pandemic. Having to report on rapidly changing circumstances under increasing pressure from social media while also having to compete for attention in a saturated media landscape might place strain on the adherence to journalistic norms. This does not only have implications in terms of the case-by-case accuracy of reporting, but on the public perception of science at large. This paper investigates the reporting of scientific information from pre-preprints based on a sample of 2,877 online news articles related to Covid-19 in the South African news media. Our results show that despite the publication of guidelines for reporting on preprints in the media, there is still a way to go regarding the judicious use of scientific information from preprints by journalists. The dataset includes the table of the 2,877 online news articles as well as the analysis done (as separate tables). Fields in the dataset: Full Text, Headline, ID, Publication Date, Site Name,URL,Syndicated, Covid-related scientific research findings,<br> Preprint, Title, Authors,DOI, Archive / journal, URL
DOI: 10.6084/m9.figshare.14963730.v1
title: epochs

description: The epoch data are a fieldtrip format structure, all epochs are aligned with fixation onset to a given word, with the length of one second.Epochs were named as the combination of acquizaton date, subject code, and data type. Epochs ended with 'Targ60' were from the first sentence set, with 'JEP60' were from the second sentence set, with 'BL' were the baseline period of the first sentence set.<br>This filed 'trialinfo' is the information about each trial, the header of all columns are as followings:1- sentence_id: sentence number for this epoch2- word_loc: the location of the current word in a sentence3- loc2targ:location distance between the current word and target word; loc2targ for pre-target, target, post-target are -1, 0, and 14- word_freq: CELEX frequency 5- word_length6- saccade2this_duration: saccade duration toward this word7- fixation_on_MEG: MEG trigger for fixation onset to this word8- fixation_duration 9- NextOrder: next word location minus the current word location; negative value indicates saccade backward to the previous words10- FirstPassFix: whether this fixation is the first for this word or not11- PreviousOrder: previous word location minus the current word location; negative value indicates saccade forward to the next words12- SentenceCondition: the current word is in a sentence with high or low frequency target word; 1 -- low, 2 -- high13- PupilSize: averaged pupil size during this fixation<br>
DOI: 10.21227/8rcr-cr03
title: Leucorrhea Microscopy Dataset

description: Leucorrhea microscopic data set is a set of leucorrhea microscopic images, which is used in object detection task. The datasets are collected from the Sixth People’s Hospital of Chengdu (Sichuan Province, China). The samples were went flow diluted, stirred and placed, and imaged with a microscopic imaging system. The clearest 3 images were collected for each view of each sample with Tenengrad definition algorithm. The dataset we collected includes 1552 groups of views with 4656 jpg images. The Resolution of images are 1200×1920. There are 6 categories, RBCs, WBCs, Molds, Epithelial Cells, Pyocytes and Trichomonads. Each image folder is a sample collected with different views, namely H-%1-%2, and %1 represents for the view id, and %2 is the image id.
DOI: 10.5281/zenodo.5094447
title: Forecasting seizure risk in adults with focal epilepsy: a development and validation study - Data

description: <strong>Data for the article 'Forecasting seizure risk in adults with focal epilepsy: a development and validation study'</strong> Includes deidentified individual data in the form of interictal epileptiform activity counts and electrographic seizures for the 18 patients in the development cohort.
description: WT is supported by the National Institute of Neurological Disorders and Stroke (grant R01NS079533), and the Pablo J Salame '88 Goldman Sachs endowed Associate Professorship of Computational Neuroscience at Brown University (Providence, RI, USA). VRR is supported by the Ernest Gallo Foundation Distinguished Professorship in Neurology at the University of California, San Francisco (CA, USA). MOB is supported by an Ambizione grant (179929/1) from the Swiss National Science Foundation and by the Velux Stiftung Switzerland (grant 1232). Part of this research was done with computational resources and services at the Center for Computation and Visualization, Brown University.
description: {"references": ["Proix T, Truccolo W, Leguia M, King-Stephens D, Rao V, Baud M (2021). Forecasting seizure risk in adults with focal epilepsy: a development and validation study. The Lancet Neurology, 20(1):127-135. https://doi.org/10.1016/S1474-4422(20)30396-3"]}
DOI: 10.5281/zenodo.5094446
title: Forecasting seizure risk in adults with focal epilepsy: a development and validation study - Data

description: <strong>Data for the article 'Forecasting seizure risk in adults with focal epilepsy: a development and validation study'</strong> Includes deidentified individual data in the form of interictal epileptiform activity counts and electrographic seizures for the 18 patients in the development cohort.
description: WT is supported by the National Institute of Neurological Disorders and Stroke (grant R01NS079533), and the Pablo J Salame '88 Goldman Sachs endowed Associate Professorship of Computational Neuroscience at Brown University (Providence, RI, USA). VRR is supported by the Ernest Gallo Foundation Distinguished Professorship in Neurology at the University of California, San Francisco (CA, USA). MOB is supported by an Ambizione grant (179929/1) from the Swiss National Science Foundation and by the Velux Stiftung Switzerland (grant 1232). Part of this research was done with computational resources and services at the Center for Computation and Visualization, Brown University.
description: {"references": ["Proix T, Truccolo W, Leguia M, King-Stephens D, Rao V, Baud M (2021). Forecasting seizure risk in adults with focal epilepsy: a development and validation study. The Lancet Neurology, 20(1):127-135. https://doi.org/10.1016/S1474-4422(20)30396-3"]}
DOI: 10.7910/dvn/jt9afr
title: Shape optimization of concrete free-form shells considering material damage: supplemental material

description: Shape optimization of concrete free-form shells considering material damage: supplemental material
DOI: 10.6084/m9.figshare.14963730.v2
title: epochs

description: The epoch data are a fieldtrip format structure, all epochs are aligned with fixation onset to a given word, with the length of one second.Epochs were named as the combination of acquizaton date, subject code, and data type. Epochs ended with 'Targ60' were from the first sentence set, with 'JEP60' were from the second sentence set, with 'BL' were the baseline period of the first sentence set.<br>This filed 'trialinfo' is the information about each trial, the header of all columns are as followings:1- sentence_id: sentence number for this epoch2- word_loc: the location of the current word in a sentence3- loc2targ:location distance between the current word and target word; loc2targ for pre-target, target, post-target are -1, 0, and 14- word_freq: CELEX frequency 5- word_length6- saccade2this_duration: saccade duration toward this word7- fixation_on_MEG: MEG trigger for fixation onset to this word8- fixation_duration 9- NextOrder: next word location minus the current word location; negative value indicates saccade backward to the previous words10- FirstPassFix: whether this fixation is the first for this word or not11- PreviousOrder: previous word location minus the current word location; negative value indicates saccade forward to the next words12- SentenceCondition: the current word is in a sentence with high or low frequency target word; 1 -- low, 2 -- high13- PupilSize: averaged pupil size during this fixation<br>
DOI: 10.6084/m9.figshare.14560788
title: Applying the Culture-Centered Approach to visual storytelling methods

description: Visual and digital storytelling methods can reposition research participants as coproducers of knowledge, foster engagement and collaboration with marginalized peoples, and offer greater depth of self-expression. However, these methods are constituted in complex terrains of power. Without continual attenuation to power imbalances, the methods will contribute to the silencing and erasure of marginalized communities. This study outlines how reflexivity as a methodological tool and part of the Cultured-Centered Approach can enable the interrogation of terrains of power, allowing for the continual opening of democratic possibilities and community ownership of visual and digital storytelling infrastructures. Excerpts from the “Poverty Is Not Our Future” campaign illustrate the argument. The campaign's cocreated audio-visual advertisements communicate everyday stories of poverty among residents living in a poor suburban site in Auckland, Aotearoa New Zealand, and serve as a visual narrative of resistance to dominant structures. This study contributes to critical theorizing of culture and communication and the coconstruction of visual stories.
DOI: 10.6084/m9.figshare.14560791.v1
title: “I address race because race addresses me”: women of color show receipts through digital storytelling

description: In Black colloquial culture, the practice of documenting and calling out injustices is known as “showing receipts.” The ongoing labor of collecting, communicating, and showing receipts is one way to highlight the hypocrisies embedded in racist structures and hold those in power accountable. As the receipts pile up in the form of viral videos of sexism, racism, and violence against Black bodies, accountability cannot be easily ignored. Showing receipts as a form of resistance, however, is both exhausting and never-ending. Thus, women of color need spaces of respite and community care where we can speak our stories and be heard. In this essay, we demonstrate one such space: digital storytelling shared between women of color. While reciprocal sharing provides women of color storytellers a respite from the labor of proving our worth and producing receipts, in recording our truths and sharing them online, we also create digital receipts as testimony to our experiences. Although there is no guarantee that those in power will listen, by producing, archiving, and disseminating these receipts, storytellers maintain hope that our words will make an impact.
DOI: 10.6084/m9.figshare.14560791
title: “I address race because race addresses me”: women of color show receipts through digital storytelling

description: In Black colloquial culture, the practice of documenting and calling out injustices is known as “showing receipts.” The ongoing labor of collecting, communicating, and showing receipts is one way to highlight the hypocrisies embedded in racist structures and hold those in power accountable. As the receipts pile up in the form of viral videos of sexism, racism, and violence against Black bodies, accountability cannot be easily ignored. Showing receipts as a form of resistance, however, is both exhausting and never-ending. Thus, women of color need spaces of respite and community care where we can speak our stories and be heard. In this essay, we demonstrate one such space: digital storytelling shared between women of color. While reciprocal sharing provides women of color storytellers a respite from the labor of proving our worth and producing receipts, in recording our truths and sharing them online, we also create digital receipts as testimony to our experiences. Although there is no guarantee that those in power will listen, by producing, archiving, and disseminating these receipts, storytellers maintain hope that our words will make an impact.
DOI: 10.6084/m9.figshare.14560794
title: Anatomy of the before and after: photovoice for (en)during weight loss

description: In this essay, I situate the body as a visual storytelling device and explore photovoice as a technology of the self, giving (visual)voice to my embodied sensemaking. Photovoice boldly embraces subjective lived experience as the catalyst for action and advocacy through the incorporation of photography (self- or other-focused) into the research process. These (auto)ethno-(photo)graphic endeavors fit within the wider spectrum of performance- and arts-based research, which are guided by aesthetics. Through reflexive, critical analysis of my conflicting experiences with identity and weight, I situate the body as a site where meaning is both imbued and embedded. I argue that photography, employed as a critically reflexive practice, provides multilayered storied (in)visibility. I hope to inspire others to utilize photovoice as a pedestrian mechanism of sensemaking with great utility for interrogating epistemological standpoints, sensemaking, and identity, ultimately telling our visual stories in ways that aural- or text-centric mechanisms alone cannot convey, particularly for narratives of progress.
DOI: 10.6084/m9.figshare.14560788.v1
title: Applying the Cultured-Centered Approach to visual storytelling methods

description: Visual and digital storytelling methods can reposition research participants as coproducers of knowledge, foster engagement and collaboration with marginalized peoples, and offer greater depth of self-expression. However, these methods are constituted in complex terrains of power. Without continual attenuation to power imbalances, the methods will contribute to the silencing and erasure of marginalized communities. This study outlines how reflexivity as a methodological tool and part of the Cultured-Centered Approach can enable the interrogation of terrains of power, allowing for the continual opening of democratic possibilities and community ownership of visual and digital storytelling infrastructures. Excerpts from the “Poverty Is Not Our Future” campaign illustrate the argument. The campaign's cocreated audio-visual advertisements communicate everyday stories of poverty among residents living in a poor suburban site in Auckland, Aotearoa New Zealand, and serve as a visual narrative of resistance to dominant structures. This study contributes to critical theorizing of culture and communication and the coconstruction of visual stories.
DOI: 10.5517/ccdc.csd.cc25f1pc
title: CCDC 2008542: Experimental Crystal Structure Determination

description: Related Article: Lixian Xia, Xinzhao Xia, Geng Zhang, Yancong Wu, Huilu Wu, Jianhua Xu|2021|J.Chem.Res.|45|608|doi:10.1177/1747519820978588
DOI: 10.5517/ccdc.csd.cc25c5g6
title: CCDC 2006737: Experimental Crystal Structure Determination

description: Related Article: Jian-Wei Zhang, Peng Qu, Man-Cheng Hu, Shu-Ni Li, Yu-Cheng Jiang, Quan-Guo Zhai|2020|Cryst.Growth Des.|20|5657|doi:10.1021/acs.cgd.0c00879
DOI: 10.5281/zenodo.4554200
title: Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A controlled, Randomized Trial.

description: <br> <strong>INFORMATION:</strong> This folder contains all the data from a study in process of publication in Frontiers in Psychology called<br> 'Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A Controlled, Randomized Trial.' <br> by Angel David Blanco, Simone Tassani, and Rafael Ramirez. <br> <strong>FILES and FOLDERS:</strong> files: participants_raw_Sound_Motion.mat<br> % This file contains the raw data from all the participants except the .wav files. <br> spss_script.m<br> % This script creates from 'participants_raw_Sound_Motion.mat' the arrays with the averaged analysis per Group and Condition which was used for the SPSS Analysis of the experiment. participant.m<br> % Class of participants (explained below) participant_results<br> % Class with the results for each participant (explained below) avg_bowSkew.m<br> avg_dynStab.m<br> avg_pitchStab.m<br> % each one of these files is used by spss_script.m to average the descriptors for each condition and participant Kinematic_Analysis.sav<br> % SPSS file with the results from the descriptor bow Skewness for each group and condition Kinematic_Analysis_Output.spv<br> % SPSS Output file with the statistical results from the univariate 3x5 mixed-design ANOVA for the bow skewness variable and the simple main effect analysis. SoundQuality_Analysis.sav<br> % SPSS file with the results from the descriptors dynamic instability and pitch instability for each group and condition SoundQuality_Analysis_Output.spv<br> % SPSS Output file with the statistical results from the multivariate 3x5 mixed-design ANOVA for the dynamic instability and pitch instability variables<br> and their simple main effect analysis. <br> Folder Spss_stats. Inside this folder, we have different scripts such as create_spss_vectors_Age.m or create_spss_vectors_bowSkew.m which return the arrays needed for the SPSS analysis. All the participants in those arrays are always in the same order and can be identified through the ID. <br>
DOI: 10.5281/zenodo.4405655
title: SkyNote Experiment

description: Sound and motion-capture data obtained from beginner and expert violinists while performing a violin bowing exercise.
DOI: 10.5281/zenodo.5094414
title: Interface between Trapped-Ion Qubits and Traveling Photons with Close-to-Optimal Efficiency

description: Datasets for the publication "Interface between Trapped-Ion Qubits and Traveling Photons with Close-to-Optimal Efficiency", PRX Quantum (2021)
description: This work was financially supported by the START prize of the Austrian FWF project Y 849-N20, the Army Research Laboratory Center for Distributed Quantum Information via the project SciNet under Cooperative Agreement Number W911NF-15-2-0060, the Institute for Quantum Optics and Quantum Information (IQOQI) of the Austrian Academy Of Sciences (OEAW) and the European Union's Horizon 2020 research and innovation program under grant agreement No 820445 and project name 'Quantum Internet Alliance'. The European Commission is not responsible for any use that may be made of the information this paper contains. Ben Lanyon is a Fellow in the CIFAR Quantum Information Science Program.
DOI: 10.5281/zenodo.5094413
title: Interface between Trapped-Ion Qubits and Traveling Photons with Close-to-Optimal Efficiency

description: Datasets for the publication "Interface between Trapped-Ion Qubits and Traveling Photons with Close-to-Optimal Efficiency", PRX Quantum (2021)
description: This work was financially supported by the START prize of the Austrian FWF project Y 849-N20, the Army Research Laboratory Center for Distributed Quantum Information via the project SciNet under Cooperative Agreement Number W911NF-15-2-0060, the Institute for Quantum Optics and Quantum Information (IQOQI) of the Austrian Academy Of Sciences (OEAW) and the European Union's Horizon 2020 research and innovation program under grant agreement No 820445 and project name 'Quantum Internet Alliance'. The European Commission is not responsible for any use that may be made of the information this paper contains. Ben Lanyon is a Fellow in the CIFAR Quantum Information Science Program.
DOI: 10.5281/zenodo.5094613
title: R code to accompany 'Teleconnection-based evaluation of seasonal forecast quality''

description: R code for the diagnostic published in 'Teleconnection-based evaluation of seasonal forecast quality' DOI: 10.1007/s00382-020-05327-x
DOI: 10.5281/zenodo.5094612
title: R code to accompany 'Teleconnection-based evaluation of seasonal forecast quality''

description: R code for the diagnostic published in 'Teleconnection-based evaluation of seasonal forecast quality' DOI: 10.1007/s00382-020-05327-x
DOI: 10.15161/oar.it/73924
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.21227/pm0y-kr98
title: DBPedia

description: This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of-the-art or competitive results. Comparisons are offered against traditional models such as bag of words, n-grams and their TFIDF variants, and deep learning models such as word-based ConvNets and recurrent neural networks.
DOI: 10.6084/m9.figshare.14974095
title: MENTAL HEALTH DURING COVID-19 (Responses) - Form Responses 1.csv

description: <i>This d</i><i>at</i><i>a set is collected to study the college students' ment</i><i>al he</i><i>alth </i><i>during COVID-19 p</i><i>andemic. This d</i><i>at</i><i>a set h</i><i>as </i><i>questionnaires pert</i><i>aining to v</i><i>arious f</i><i>actors influencing ment</i><i>al he</i><i>alth such </i><i>as COVID-19 rel</i><i>ated </i><i>anxiety; re</i><i>assur</i><i>ance-seeking </i><i>and obsession, perceived soci</i><i>al support, resilience, </i><i>and mindfulness. </i>