cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1355852.v1
title: Co-authorships of the ACM Turing and IEEE Von Neumann Awardees

description: <strong>Co-authorships of the <em>ACM</em> Turing and <em>IEEE</em> Von Neumann Awardees</strong> This map shows the co-authorships of scientists who received: - The <em>ACM</em> A.M. Turing Award - The <em>IEEE</em> John von Neumann Medal - Both of these Nodes were coloured to distinguish Turing (in green) and Von Neumann (in blue) awardees. Red nodes show the recipients of both awards. Node size reflects the "writing efforts": sum 1/n for all papers with n co-authors. Edges in dark grey link two co-authors. Edges in light grey link two awardees who never co-authored a paper but they share at least one co-author (these are opportunities for collaborations). Edge width reflects the strength of collaborations: sum 2 / (n * (n - 1)) for all papers co-authored by two given authors (n co-authors in total). The source data were extracted from the DBLP (http://dblp.uni-trier.de) in February 2015. Peer reviewed conference and journal papers were considered and ArXiv CoRR papers were discarded. For more details about source data processing see (Cabanac et al., 2015). The map was generated with Gephi (http://gephi.github.io). This co-authorship map suggests that the community of CS awardees is a small world with tightly connected scientists. Due to the limited coverage of DBLP (i.e., computer science and frontiers), this map does not show the connections to other disciplines. For a study of the CS awardees as brokers to other disciplines see (Fields, forthcoming). <em>Acknowledgements</em> Thanks go to the DBLP team for maintaining such a valuable service and releasing their data. I am also grateful to my research assistant, Clara Belair, who contributed to this study. <em>References</em> Cabanac, G., Hubert, G., & Milard, B. (2015). Academic careers in Computer Science: continuance and transience of lifetime co-authorships. Scientometrics, 102, 1, 135–150. doi:10.1007/s11192-014-1426-0 Fields, C. (forthcoming). Co-authorship proximity of A. M. Turing Award and John von Neumann Medal winners to the disciplinary boundaries of computer science. Scientometrics. <em>Links</em> http://amturing.acm.org http://www.ieee.org/about/awards/medals/vonneumann.html
DOI: 10.6084/m9.figshare.1354056
title: Reproducibility of hemodynamic simulations of cerebral aneurysms across imaging modalities 3DRA and CTA: Geometric and hemodynamic data

description: This dataset was created as part of the following study: Geers AJ, Larrabide I, Radaelli AG, Bogunovic H, Kim M, Gratama van Andel HAF, Majoie CB, VanBavel E, Frangi AF. Patient-specific computational hemodynamics of intracranial aneurysms from 3D rotational angiography and CT angiography: An in vivo reproducibility study. American Journal of Neuroradiology, 32(3):581–586, 2011. The goal of the study was to determine the reproducibility of blood flow simulations of cerebral aneurysms. Patients with a total of 10 cerebral aneurysms were imaged with both 3D rotational angiography (3DRA) and computed tomographic angiography (CTA). Each image independently was segmented to obtain a vascular model, the same boundary conditions were imposed, and a CFD simulation was obtained. The dataset contains values for geometric and hemodynamic variables that were derived from the CFD simulations. The variables are defined as follows (TA: time-averaged; PS: peak systole; ED: end diastole): * A_N: Aneurysm neck area<br>* V_A: Aneurysm volume<br>* Q_P: TA flow rate in the parent vessel just proximal to the aneurysm<br>* Q_A: TA flow rate into the aneurysm<br>* NQ_A: Q_A / Q_P<br>* WSS_P: Average TA WSS on the wall of a parent vessel segment just proximal to the aneurysm<br>* WSS_A: Average TA WSS on the aneurysm wall<br>* NWSS_A: WSS_A / WSS_P<br>* LWSS_A: Portion of the aneurysm wall with WSS &lt; 0.4 Pa at ED<br>* MWSS_A: Maximum WSS on the aneurysm wall at PS<br>* 90WSS_A: 90th percentile value of the WSS on the aneurysm wall at PS<br>* N90WSS_A: 90WSS_A normalized by the average WSS on the aneurysm wall at PS See https://github.com/ajgeers/3dracta for an analysis of the data.
DOI: 10.6084/m9.figshare.1355942.v3
title: Music-to-Color Associations of Single-line Piano Melodies in Non-Synesthetes

description: Prior research has shown that non-synesthetes’ color associations to classical orchestral music are strongly mediated by emotion. The present study examines similar cross-modal music-to-color associations for much better controlled musical stimuli: 64 single-line piano melodies that were generated from four basic melodies by Mozart, whose global musical parameters were manipulated in tempo (slow/fast), note-density (sparse/dense), mode (major/minor) and pitch-height (low/high). Participants first chose the three colors (from 37) that they judged to be most consistent with (and, later, the three that were most inconsistent with) the music they were hearing. They later rated each melody and each color for the strength of its association along four emotional dimensions: happy/sad, agitated/calm, angry/not-angry and strong/weak. The cross-modal choices showed that faster music in the major mode was associated with lighter, more saturated, yellower (warmer) colors than slower music in the minor mode. These results replicate and extend those of Palmer et al. (2013, Proc. Natl. Acad. Sci. 110, 8836–8841) with more precisely controlled musical stimuli. Further results replicated strong evidence for emotional mediation of these cross-modal associations, in that the emotional ratings of the melodies were very highly correlated with the emotional associations of the colors chosen as going best/worst with the melodies (r = 0.92, 0.85, 0.82 and 0.70 for happy/sad, strong/weak, angry/not-angry and agitated/calm, respectively). The results are discussed in terms of common emotional associations forming a cross-modal bridge between highly disparate sensory inputs.
DOI: 10.6084/m9.figshare.1354054
title: Computational CellScope LED Dome Design Files

description: NOTE - Up-to-date versions of this work may be found at: https://github.com/Waller-Lab/CompCellScopeHardware and https://github.com/Waller-Lab/CompCellScopeAndroid ----- This file contains all design files necessary to create a domed, programmable, 508 LED Illuminator add-on for the CellScope Device. Included are the CAD design files, PCB design files, Arduino sketches, and Android application for controlling the LED array using a smartphone. The design should also be useful for a variety of other applications invloving a domed LED array.
DOI: 10.6084/m9.figshare.1355852.v2
title: Co-authorships of the ACM Turing and IEEE Von Neumann Awardees

description: <strong>Co-authorships of the <em>ACM</em> Turing and <em>IEEE</em> Von Neumann Awardees</strong> This map shows the co-authorships of scientists who received: - The <em>ACM</em> A.M. Turing Award - The <em>IEEE</em> John von Neumann Medal - Both of these Nodes were coloured to distinguish Turing (in green) and Von Neumann (in blue) awardees. Red nodes show the recipients of both awards. Node size reflects the "writing efforts": sum 1/n for all papers with n co-authors. Edges in dark grey link two co-authors. Edges in light grey link two awardees who never co-authored a paper but they share at least one co-author (these are opportunities for collaborations). Edge width reflects the strength of collaborations: sum 2 / (n * (n - 1)) for all papers co-authored by two given authors (n co-authors in total). The source data were extracted from the DBLP (http://dblp.uni-trier.de) in February 2015. Peer reviewed conference and journal papers were considered and ArXiv CoRR papers were discarded. For more details about source data processing see (Cabanac et al., 2015). The map was generated with Gephi (http://gephi.github.io). This co-authorship map suggests that the community of CS awardees is a small world with tightly connected scientists. Due to the limited coverage of DBLP (i.e., computer science and frontiers), this map does not show the connections to other disciplines. For a study of the CS awardees as brokers to other disciplines see (Fields, forthcoming). <em>Acknowledgements</em> Thanks go to the DBLP team for maintaining such a valuable service and releasing their data. I am also grateful to my research assistant, Clara Belair, who contributed to this study. <em>References</em> Cabanac, G., Hubert, G., & Milard, B. (2015). Academic careers in Computer Science: continuance and transience of lifetime co-authorships. Scientometrics, 102, 1, 135–150. doi:10.1007/s11192-014-1426-0 Fields, C. (forthcoming). Co-authorship proximity of A. M. Turing Award and John von Neumann Medal winners to the disciplinary boundaries of computer science. Scientometrics. <em>Links</em> http://amturing.acm.org http://www.ieee.org/about/awards/medals/vonneumann.html
DOI: 10.6084/m9.figshare.1355942.v2
title: Music-to-Color Associations of Single-line Piano Melodies in Non-Synesthetes

description: Prior research has shown that non-synesthetes’ color associations to classical orchestral music are strongly mediated by emotion. The present study examines similar cross-modal music-to-color associations for much better controlled musical stimuli: 64 single-line piano melodies that were generated from four basic melodies by Mozart, whose global musical parameters were manipulated in tempo (slow/fast), note-density (sparse/dense), mode (major/minor) and pitch-height (low/high). Participants first chose the three colors (from 37) that they judged to be most consistent with (and, later, the three that were most inconsistent with) the music they were hearing. They later rated each melody and each color for the strength of its association along four emotional dimensions: happy/sad, agitated/calm, angry/not-angry and strong/weak. The cross-modal choices showed that faster music in the major mode was associated with lighter, more saturated, yellower (warmer) colors than slower music in the minor mode. These results replicate and extend those of Palmer et al. (2013, Proc. Natl. Acad. Sci. 110, 8836–8841) with more precisely controlled musical stimuli. Further results replicated strong evidence for emotional mediation of these cross-modal associations, in that the emotional ratings of the melodies were very highly correlated with the emotional associations of the colors chosen as going best/worst with the melodies (r = 0.92, 0.85, 0.82 and 0.70 for happy/sad, strong/weak, angry/not-angry and agitated/calm, respectively). The results are discussed in terms of common emotional associations forming a cross-modal bridge between highly disparate sensory inputs.
DOI: 10.6084/m9.figshare.1354041
title: Effects of Ultraviolet Germicidal Irradiation (UVGI) on N95 Respirator Filtration Performance and Structural Integrity

description: The ability to disinfect and reuse disposable N95 filtering facepiece respirators (FFRs) may be needed during a pandemic of an infectious respiratory disease such as influenza. Ultraviolet germicidal irradiation (UVGI) is one possible method for respirator disinfection. However, UV radiation degrades polymers, which presents the possibility that UVGI exposure could degrade the ability of a disposable respirator to protect the worker. To study this, we exposed both sides of material coupons and respirator straps from four models of N95 FFRs to UVGI doses from 120–950 J/cm<sup>2</sup>. We then tested the particle penetration, flow resistance, and bursting strengths of the individual respirator coupon layers, and the breaking strength of the respirator straps. We found that UVGI exposure led to a small increase in particle penetration (up to 1.25%) and had little effect on the flow resistance. UVGI exposure had a more pronounced effect on the strengths of the respirator materials. At the higher UVGI doses, the strength of the layers of respirator material was substantially reduced (in some cases, by &gt;90%). The changes in the strengths of the respirator materials varied considerably among the different models of respirators. UVGI had less of an effect on the respirator straps; a dose of 2360 J/cm<sup>2</sup> reduced the breaking strength of the straps by 20–51%. Our results suggest that UVGI could be used to effectively disinfect disposable respirators for reuse, but the maximum number of disinfection cycles will be limited by the respirator model and the UVGI dose required to inactivate the pathogen.
DOI: 10.6084/m9.figshare.1355852.v3
title: Co-authorships of the ACM Turing and IEEE Von Neumann Awardees

description: <strong>Co-authorships of the <em>ACM</em> Turing and <em>IEEE</em> Von Neumann Awardees</strong> This map shows the co-authorships of scientists who received: - The <em>ACM</em> A.M. Turing Award - The <em>IEEE</em> John von Neumann Medal - Both of these Nodes were coloured to distinguish Turing (in green) and Von Neumann (in blue) awardees. Red nodes show the recipients of both awards. Node size reflects the "writing efforts": sum 1/n for all papers with n co-authors. Edges in dark grey link two co-authors. Edges in light grey link two awardees who never co-authored a paper but they share at least one co-author (these are opportunities for collaborations). Edge width reflects the strength of collaborations: sum 2 / (n * (n - 1)) for all papers co-authored by two given authors (n co-authors in total). The source data were extracted from the DBLP (http://dblp.uni-trier.de) in February 2015. Peer reviewed conference and journal papers were considered and ArXiv CoRR papers were discarded. For more details about source data processing see (Cabanac et al., 2015). The map was generated with Gephi (http://gephi.github.io). This co-authorship map suggests that the community of CS awardees is a small world with tightly connected scientists. Due to the limited coverage of DBLP (i.e., computer science and frontiers), this map does not show the connections to other disciplines. For a study of the CS awardees as brokers to other disciplines see (Fields, forthcoming). <em>Acknowledgements</em> Thanks go to the DBLP team for maintaining such a valuable service and releasing their data. I am also grateful to my research assistant, Clara Belair, who contributed to this study. <em>References</em> Cabanac, G., Hubert, G., & Milard, B. (2015). Academic careers in Computer Science: continuance and transience of lifetime co-authorships. Scientometrics, 102, 1, 135–150. doi:10.1007/s11192-014-1426-0 Fields, C. (forthcoming). Co-authorship proximity of A. M. Turing Award and John von Neumann Medal winners to the disciplinary boundaries of computer science. Scientometrics. <em>Links</em> http://amturing.acm.org http://www.ieee.org/about/awards/medals/vonneumann.html
DOI: 10.6084/m9.figshare.1354056.v1
title: Reproducibility of hemodynamic simulations across imaging modalities 3DRA and CTA

description: This dataset was created as part of the following study: Geers AJ, Larrabide I, Radaelli AG, Bogunovic H, Kim M, Gratama van Andel HAF, Majoie CB, VanBavel E, Frangi AF. Patient-specific computational hemodynamics of intracranial aneurysms from 3D rotational angiography and CT angiography: An in vivo reproducibility study. American Journal of Neuroradiology, 32(3):581–586, 2011. The goal of the study was to determine the reproducibility of blood flow simulations of cerebral aneurysms. Patients with a total of 10 cerebral aneurysms were imaged with both 3D rotational angiography (3DRA) and computed tomographic angiography (CTA). Each image independently was segmented to obtain a vascular model, the same boundary conditions were imposed, and a CFD simulation was obtained. This dataset contains values for geometric and hemodynamic variables that were extracted from the CFD simulations. The variables are defined as follows (TA: time-averaged; PS: peak systole; ED: end diastole): * A_N: Aneurysm neck area<br>* V_A: Aneurysm volume<br>* Q_P: TA flow rate in the parent vessel just proximal to the aneurysm<br>* Q_A: TA flow rate into the aneurysm<br>* NQ_A: Q_A / Q_P<br>* WSS_P: Average TA WSS on the wall of a parent vessel segment just proximal to the aneurysm<br>* WSS_A: Average TA WSS on the aneurysm wall<br>* NWSS_A: WSS_A / WSS_P<br>* LWSS_A: Portion of the aneurysm wall with WSS &lt; 0.4 Pa at ED<br>* MWSS_A: Maximum WSS on the aneurysm wall at PS<br>* 90WSS_A: 90th percentile value of the WSS on the aneurysm wall at PS<br>* N90WSS_A: 90WSS_A normalized by the average WSS on the aneurysm wall at PS See https://github.com/ajgeers/3dracta for an analysis of the data.
DOI: 10.6084/m9.figshare.1355852.v4
title: Co-authorships of the ACM Turing and IEEE Von Neumann Awardees

description: <strong>Co-authorships of the <em>ACM</em> Turing and <em>IEEE</em> Von Neumann Awardees</strong> This map shows the co-authorships of scientists who received: - The <em>ACM</em> A.M. Turing Award - The <em>IEEE</em> John von Neumann Medal - Both of these Nodes were coloured to distinguish Turing (in green) and Von Neumann (in blue) awardees. Red nodes show the recipients of both awards. Node size reflects the "writing efforts": sum 1/n for all papers with n co-authors. Edges in dark grey link two co-authors. Edges in light grey link two awardees who never co-authored a paper but they share at least one co-author (these are opportunities for collaborations). Edge width reflects the strength of collaborations: sum 2 / (n * (n - 1)) for all papers co-authored by two given authors (n co-authors in total). The source data were extracted from the DBLP (http://dblp.uni-trier.de) in February 2015. Peer reviewed conference and journal papers were considered and ArXiv CoRR papers were discarded. For more details about source data processing see (Cabanac et al., 2015). The map was generated with Gephi (http://gephi.github.io). This co-authorship map suggests that the community of CS awardees is a small world with tightly connected scientists. Due to the limited coverage of DBLP (i.e., computer science and frontiers), this map does not show the connections to other disciplines. For a study of the CS awardees as brokers to other disciplines see (Fields, forthcoming). <em>Acknowledgements</em> Thanks go to the DBLP team for maintaining such a valuable service and releasing their data. I am also grateful to my research assistant, Clara Belair, who contributed to this study. <em>References</em> Cabanac, G., Hubert, G., & Milard, B. (2015). Academic careers in Computer Science: continuance and transience of lifetime co-authorships. Scientometrics, 102, 1, 135–150. doi:10.1007/s11192-014-1426-0 Fields, C. (forthcoming). Co-authorship proximity of A. M. Turing Award and John von Neumann Medal winners to the disciplinary boundaries of computer science. Scientometrics. <em>Links</em> http://amturing.acm.org http://www.ieee.org/about/awards/medals/vonneumann.html
DOI: 10.6084/m9.figshare.1354056.v2
title: Reproducibility of hemodynamic simulations of cerebral aneurysms across imaging modalities 3DRA and CTA

description: This dataset was created as part of the following study: Geers AJ, Larrabide I, Radaelli AG, Bogunovic H, Kim M, Gratama van Andel HAF, Majoie CB, VanBavel E, Frangi AF. Patient-specific computational hemodynamics of intracranial aneurysms from 3D rotational angiography and CT angiography: An in vivo reproducibility study. American Journal of Neuroradiology, 32(3):581–586, 2011. The goal of the study was to determine the reproducibility of blood flow simulations of cerebral aneurysms. Patients with a total of 10 cerebral aneurysms were imaged with both 3D rotational angiography (3DRA) and computed tomographic angiography (CTA). Each image independently was segmented to obtain a vascular model, the same boundary conditions were imposed, and a CFD simulation was obtained. The dataset contains values for geometric and hemodynamic variables that were extracted from the CFD simulations. The variables are defined as follows (TA: time-averaged; PS: peak systole; ED: end diastole): * A_N: Aneurysm neck area<br>* V_A: Aneurysm volume<br>* Q_P: TA flow rate in the parent vessel just proximal to the aneurysm<br>* Q_A: TA flow rate into the aneurysm<br>* NQ_A: Q_A / Q_P<br>* WSS_P: Average TA WSS on the wall of a parent vessel segment just proximal to the aneurysm<br>* WSS_A: Average TA WSS on the aneurysm wall<br>* NWSS_A: WSS_A / WSS_P<br>* LWSS_A: Portion of the aneurysm wall with WSS &lt; 0.4 Pa at ED<br>* MWSS_A: Maximum WSS on the aneurysm wall at PS<br>* 90WSS_A: 90th percentile value of the WSS on the aneurysm wall at PS<br>* N90WSS_A: 90WSS_A normalized by the average WSS on the aneurysm wall at PS See https://github.com/ajgeers/3dracta for an analysis of the data.
DOI: 10.6084/m9.figshare.1355852.v6
title: Co-authorships of the ACM Turing and IEEE Von Neumann Awardees

description: <strong>Co-authorships of the <em>ACM</em> Turing and <em>IEEE</em> Von Neumann Awardees</strong> This map shows the co-authorships of scientists who received: - The <em>ACM</em> A.M. Turing Award - The <em>IEEE</em> John von Neumann Medal - Both of these Nodes were coloured to distinguish Turing (in green) and Von Neumann (in blue) awardees. Red nodes show the recipients of both awards. Node size reflects the "writing efforts": sum 1/n for all papers with n co-authors. Edges in dark grey link two co-authors. Edges in light grey link two awardees who never co-authored a paper but they share at least one co-author (these are opportunities for collaborations). Edge width reflects the strength of collaborations: sum 2 / (n * (n - 1)) for all papers co-authored by two given authors (n co-authors in total). The source data were extracted from the DBLP (http://dblp.uni-trier.de) in February 2015. Peer reviewed conference and journal papers were considered and ArXiv CoRR papers were discarded. For more details about source data processing see (Cabanac et al., 2015). The map was generated with Gephi (http://gephi.github.io). This co-authorship map suggests that the community of CS awardees is a small world with tightly connected scientists. Due to the limited coverage of DBLP (i.e., computer science and frontiers), this map does not show the connections to other disciplines. For a study of the CS awardees as brokers to other disciplines see (Fields, forthcoming). <em>Acknowledgements</em> Thanks go to the DBLP team for maintaining such a valuable service and releasing their data. I am also grateful to my research assistant, Clara Belair, who contributed to this study. <em>References</em> Cabanac, G., Hubert, G., & Milard, B. (2015). Academic careers in Computer Science: continuance and transience of lifetime co-authorships. Scientometrics, 102, 1, 135–150. doi:10.1007/s11192-014-1426-0 Fields, C. (forthcoming). Co-authorship proximity of A. M. Turing Award and John von Neumann Medal winners to the disciplinary boundaries of computer science. Scientometrics. <em>Links</em> http://amturing.acm.org http://www.ieee.org/about/awards/medals/vonneumann.html