cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12410195.v2
title: Inline holographic microscopy through fibre imaging bundles. Fig. 5.

description: This dataset and code demonstrates the change in resolution with depth in a fibre bundle holographic microcsope with partially coherent illumination. The sample is 5 micron diameter microspheres on a 1 mm thick glass slide. The slide was back illuminated by 450 nm LED light coupled through a multimode fibre with a 50 micron diameter core. The illumination fiber was approximately 15 mm behind the slide. The hologram was collected by a Fujikura FIGH-30-650S fibre bundle moved between 0 and 3 mm in front of the microspheres, in steps of 100 microns. At the proximal end, this was imaged onto a CMOS camera via a 20X objective and a tube lens, giving an effective pixel size of 0.44 microns. The file <i>recon_microspheres_dist </i>is used to create the images from the raw holograms, and the file <i>analyse_microspheres_dist</i> is used to measure the change in apparent size of the spheres as they are moved away from the bundle.
DOI: 10.6084/m9.figshare.12410195.v1
title: Inline holographic microscopy through a fibre imaging bundle. Fig. 4.

description: This dataset and code demonstrates the change in resolution with depth in a fibre bundle holographic microcsope with partially coherent illumination. The sample is 5 micron diameter microspheres on a 1 mm thick glass slide. The slide was back illuminated by 450 nm LED light coupled through a multimode fibre with a 50 micron diameter core. The illumination fiber was approximately 15 mm behind the slide. The hologram was collected by a Fujikura FIGH-30-650S fibre bundle moved between 0 and 3 mm in front of the microspheres, in steps of 100 microns. At the proximal end, this was imaged onto a CMOS camera via a 20X objective and a tube lens, giving an effective pixel size of 0.44 microns. The file <i>recon_microspheres_dist </i>is used to create the images from the raw holograms, and the file <i>analyse_microspheres_dist</i> is used to measure the change in apparent size of the spheres as they are moved away from the bundle.
DOI: 10.6084/m9.figshare.12410087
title: Inline holographic microscopy through fibre imaging bundles. Fig. 4.

description: This dataset and code provides an example for reconstructing inline holography images through a fibre imaging bundle. The sample is a USAF resolution target. The target was back illuminated by 450 nm LED light coupled through a multimode fibre with a 50 micron diameter core. The illumination fiber was approximately 15 mm behind the target. The hologram was collected by a Fujikura FIGH-30-650S fibre bundle approximately 0.75 mm in front of the target. At the proximal end, this was imaged onto a CMOS camera via a 20X objective and a tube lens, giving an effective pixel size of 0.44 microns.
DOI: 10.6084/m9.figshare.12410087.v1
title: Inline holographic microscopy through a fibre imaging bundle. Fig. 3.

description: This dataset and code provides an example for reconstructing inline holography images through a fibre imaging bundle. The sample is a USAF resolution target. The target was back illuminated by 450 nm LED light coupled through a multimode fibre with a 50 micron diameter core. The illumination fiber was approximately 15 mm behind the target. The hologram was collected by a Fujikura FIGH-30-650S fibre bundle approximately 0.75 mm in front of the target. At the proximal end, this was imaged onto a CMOS camera via a 20X objective and a tube lens, giving an effective pixel size of 0.44 microns.
DOI: 10.6084/m9.figshare.12280169
title: Inline holographic microscopy through fibre imaging bundles. Fig. 3

description: This dataset and code provides an example for reconstructing inline holography images through a fibre imaging bundle. The sample is 5 micron diameter microspheres on a 1 mm thick glass slide. The slide was back illuminated by 450 nm LED light coupled through a multimode fibre with a 50 micron diameter core. The illumination fiber was approximately 15 mm behind the slide. The hologram was collected by a Fujikura FIGH-30-650S fibre bundle approximately 0.5 mm in front of the microspheres. At the proximal end, this was imaged onto a CMOS camera via a 20X objective and a tube lens, giving an effective pixel size of 0.44 microns.
DOI: 10.6084/m9.figshare.12280169.v2
title: Inline holographic microscopy through fibre imaging bundles. Fig. 3

description: This dataset and code provides an example for reconstructing inline holography images through a fibre imaging bundle. The sample is 5 micron diameter microspheres on a 1 mm thick glass slide. The slide was back illuminated by 450 nm LED light coupled through a multimode fibre with a 50 micron diameter core. The illumination fiber was approximately 15 mm behind the slide. The hologram was collected by a Fujikura FIGH-30-650S fibre bundle approximately 0.5 mm in front of the microspheres. At the proximal end, this was imaged onto a CMOS camera via a 20X objective and a tube lens, giving an effective pixel size of 0.44 microns.
DOI: 10.6084/m9.figshare.12280169.v1
title: Inline holographic microscopy through a fibre imaging bundle Fig. 2

description: This dataset and code provides an example for reconstructing inline holography images through a fibre imaging bundle. The sample is 5 micron diameter microspheres on a 1 mm thick glass slide. The slide was back illuminated by 450 nm LED light coupled through a multimode fibre with a 50 micron diameter core. The illumination fiber was approximately 15 mm behind the slide. The hologram was collected by a Fujikura FIGH-30-650S fibre bundle approximately 0.5 mm in front of the microspheres. At the proximal end, this was imaged onto a CMOS camera via a 20X objective and a tube lens, giving an effective pixel size of 0.44 microns.
DOI: 10.6084/m9.figshare.12410240
title: Inline holographic microscopy through fibre imaging bundles. Fig. 6

description: This dataset and code provides an example for reconstructing fibre bundle inline holography videos of fresh pond water. A container holding the water was back illuminated by 450 nm LED light coupled through a multimode fibre with a 50 micron diameter core. The illumination fiber was approximately 15 mm behind the container wall. The hologram was collected by a Fujikura FIGH-30-650S fibre bundle approximately 500 microns on the other side of the wall. At the proximal end, this was imaged onto a CMOS camera via a 20X objective and a tube lens, giving an effective pixel size of 0.44 microns.
DOI: 10.6084/m9.figshare.12410240.v3
title: Inline holographic microscopy through fibre imaging bundles. Fig. 6

description: This dataset and code provides an example for reconstructing fibre bundle inline holography videos of fresh pond water. A container holding the water was back illuminated by 450 nm LED light coupled through a multimode fibre with a 50 micron diameter core. The illumination fiber was approximately 15 mm behind the container wall. The hologram was collected by a Fujikura FIGH-30-650S fibre bundle approximately 500 microns on the other side of the wall. At the proximal end, this was imaged onto a CMOS camera via a 20X objective and a tube lens, giving an effective pixel size of 0.44 microns.
DOI: 10.6084/m9.figshare.12410240.v2
title: Inline holographic microscopy through fibre imaging bundled. Fig. 6

description: This dataset and code provides an example for reconstructing fibre bundle inline holography videos of fresh pond water. A container holding the water was back illuminated by 450 nm LED light coupled through a multimode fibre with a 50 micron diameter core. The illumination fiber was approximately 15 mm behind the container wall. The hologram was collected by a Fujikura FIGH-30-650S fibre bundle approximately 500 microns on the other side of the wall. At the proximal end, this was imaged onto a CMOS camera via a 20X objective and a tube lens, giving an effective pixel size of 0.44 microns.
DOI: 10.5281/zenodo.3966558
title: DMGoldstein/NoEscapingPhylogenetics: First release

description: Data and source code for the paper "There's no escaping phylogenetics" (Goldstein forthcoming)
DOI: 10.5287/bodleian:pr10go0gz
title: Atomic-scale microstructure of metal halide perovskite
DOI: 10.6084/m9.figshare.12751928.v3
title: MultiHopFast_Data

description: Simulation results
DOI: 10.6084/m9.figshare.12751928
title: MultiHopFast_Data

description: Simulation results
DOI: 10.6084/m9.figshare.12751928.v2
title: MultiHopData

description: Simulation results
DOI: 10.6084/m9.figshare.12925640
title: pCO2 reconstructions - Large Ensemble Testbed - XG - MPI

description: Reconstructions of the Large Ensemble Testbed generated by NN, XGB, and RF algorithms.
DOI: 10.6084/m9.figshare.12925640.v1
title: pCO2 reconstructions - Large Ensemble Testbed - XG - MPI

description: Reconstructions of the Large Ensemble Testbed generated by NN, XGB, and RF algorithms.
DOI: 10.5287/bodleian:jnawo7dmg
title: A review of reporting quality in case-control studies of pancreatic cancer
DOI: 10.18112/openneuro.ds003145.v1.0.0
title: BOLD Verb Generation
DOI: 10.34740/kaggle/dsv/1488040
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.3924390
title: Models of the gravity field of Jupiter using Slepian and Spherical Harmonic functions

description: This dataset contains gravitational models using Slepian and spherical harmonic functions for Jupiter, derived from the high-precision Doppler measurements collected by NASA's Juno mission to Jupiter from periapsis 1 to 17. This dataset is intended to be paired with the following article submitted to the Journal of Geophysical Research-Planets: Marzia Parisi, Eli Galanti, William M. Folkner, Yohai Kaspi and Dustin R. Buccino. "Resolving the latitudinal short-scale gravity field of Jupiter using Slepian functions", Journal of Geophysical Research, 2020 (submitted Feb 2020).<br> <br> This dataset of gravity field models was produced in part at the Jet Propulsion Laboratory by the Juno Gravity Instrument Team and Interiors Working Group.
DOI: 10.5281/zenodo.3924389
title: Models of the gravity field of Jupiter using Slepian and Spherical Harmonic functions

description: This dataset contains gravitational models using Slepian and spherical harmonic functions for Jupiter, derived from the high-precision Doppler measurements collected by NASA's Juno mission to Jupiter from periapsis 1 to 17. This dataset is intended to be paired with the following article submitted to the Journal of Geophysical Research-Planets: Marzia Parisi, Eli Galanti, William M. Folkner, Yohai Kaspi and Dustin R. Buccino. "Resolving the latitudinal short-scale gravity field of Jupiter using Slepian functions", Journal of Geophysical Research, 2020 (submitted Feb 2020).<br> <br> This dataset of gravity field models was produced in part at the Jet Propulsion Laboratory by the Juno Gravity Instrument Team and Interiors Working Group.
DOI: 10.6084/m9.figshare.12925637
title: pCO2 reconstructions - Large Ensemble Testbed - NN - MPI

description: Reconstructions of the Large Ensemble Testbed generated by NN, XGB, and RF algorithms.
DOI: 10.6084/m9.figshare.12925637.v1
title: pCO2 reconstructions - Large Ensemble Testbed - NN - MPI

description: Reconstructions of the Large Ensemble Testbed generated by NN, XGB, and RF algorithms.
DOI: 10.5517/ccdc.csd.cc24vc4j
title: CCDC 1991537: Experimental Crystal Structure Determination

description: Related Article: Faiza Habib, Derek A. Tocher, Neil J. Press, Claire J. Carmalt|2020|Microporous and Mesoporous Materials|308|110548|doi:10.1016/j.micromeso.2020.110548
DOI: 10.5517/ccdc.csd.cc24vc5k
title: CCDC 1991538: Experimental Crystal Structure Determination

description: Related Article: Faiza Habib, Derek A. Tocher, Neil J. Press, Claire J. Carmalt|2020|Microporous and Mesoporous Materials|308|110548|doi:10.1016/j.micromeso.2020.110548
DOI: 10.5517/ccdc.csd.cc24vc6l
title: CCDC 1991539: Experimental Crystal Structure Determination

description: Related Article: Faiza Habib, Derek A. Tocher, Neil J. Press, Claire J. Carmalt|2020|Microporous and Mesoporous Materials|308|110548|doi:10.1016/j.micromeso.2020.110548
DOI: 10.5517/ccdc.csd.cc257yn1
title: CCDC 2003643: Experimental Crystal Structure Determination

description: Related Article: Akihiro Fujita, Akira Kawashima, Hiromi Ota, Hikaru Watanabe, Tetsuya Mori, Tomoyuki Nishimoto, Hajime Aga, Shimpei Ushio|2020|Carbohydr.Res.|496|108104|doi:10.1016/j.carres.2020.108104
DOI: 10.5517/ccdc.csd.cc24xd6p
title: CCDC 1993492: Experimental Crystal Structure Determination

description: Related Article: Lei Zhou, Manzhu Zhao, Xiaoying Zhang, Jingping Zhang|2020|Inorg.Chem.|59|12017|doi:10.1021/acs.inorgchem.0c00944
DOI: 10.5517/ccdc.csd.cc25bm05
title: CCDC 2006196: Experimental Crystal Structure Determination

description: Related Article: Han Vinh Huynh, Jeroen Thomas Vossen|2020|Inorg.Chem.|59|12486|doi:10.1021/acs.inorgchem.0c01585
DOI: 10.5517/ccdc.csd.cc25bm38
title: CCDC 2006199: Experimental Crystal Structure Determination

description: Related Article: Han Vinh Huynh, Jeroen Thomas Vossen|2020|Inorg.Chem.|59|12486|doi:10.1021/acs.inorgchem.0c01585
DOI: 10.6084/m9.figshare.12950291
title: Study1PlosOneIPDMV

description: Participants were Spanish volunteers recruited in 2018-2019 by announcements in different Spanish education centers (participating universities, vocational training centers and high schools) (opportunity sample)<b>Instruments</b>The <b>Inventory of Beliefs about Intimate Partner Violence </b>(IBIPV, [64]) comprises 22 items rated on a seven-point scale from 1 (<i>totally disagree</i>) to 7 (<i>totally agree</i>) which reflect three dimensions: <i>Justifying Partner Violence </i>(F1-JPV, 6-items, α = .71); <i>Victims Responsible for Violence </i>(F2-VRV, 9-ítems, α = .93); and <i>Abuser Responsible for Violence </i>(F3-ARV, 7-items, α = .84). After reversing the scores of item 3, and the seven items of subscale ARV, so that all 22 items maintain the same sense in the construct, higher scores indicate higher tolerance towards IPVAW (i.e. lower rejection towards IPVAW). The <b>Inventory of Distorted Thoughts about Women and Violence</b> (IPDMV in the Spanish acronym, [57, 58]; adapted version of Ferrer et al. [61]) comprises 24 items related to four dimensions: <i>Inferiority of Women Compared to Men</i> (F1-IW, 7 items, α = .86); <i>Blaming Female Victims of Abuse</i> (F2-BW, 7 items, α = .62); <i>Violence as an Appropriate Problem-solving Strategy </i>(F3-VP, 5 items, : α = .69); and <i>Minimization and Exoneration of the Abuser</i> (F4-MA, 5 items, α = .53). Responses are given in a four-point scale from 1 (<i>totally disagree</i>) to 4 (<i>totally agree</i>), and the higher the scores, the higher the levels of distorted thoughts (i.e. the lower the rejection towards IPVAW). Finally, participants completed a brief questionnaire designed ad hoc, including some sociodemographic data, such as gender and age, and some questions about their previous training in IPVAW.
DOI: 10.6084/m9.figshare.12950291.v2
title: Study1PlosOneIPDMV

description: Participants were Spanish volunteers recruited in 2018-2019 by announcements in different Spanish education centers (participating universities, vocational training centers and high schools) (opportunity sample)<b>Instruments</b>The <b>Inventory of Beliefs about Intimate Partner Violence </b>(IBIPV, [64]) comprises 22 items rated on a seven-point scale from 1 (<i>totally disagree</i>) to 7 (<i>totally agree</i>) which reflect three dimensions: <i>Justifying Partner Violence </i>(F1-JPV, 6-items, α = .71); <i>Victims Responsible for Violence </i>(F2-VRV, 9-ítems, α = .93); and <i>Abuser Responsible for Violence </i>(F3-ARV, 7-items, α = .84). After reversing the scores of item 3, and the seven items of subscale ARV, so that all 22 items maintain the same sense in the construct, higher scores indicate higher tolerance towards IPVAW (i.e. lower rejection towards IPVAW). The <b>Inventory of Distorted Thoughts about Women and Violence</b> (IPDMV in the Spanish acronym, [57, 58]; adapted version of Ferrer et al. [61]) comprises 24 items related to four dimensions: <i>Inferiority of Women Compared to Men</i> (F1-IW, 7 items, α = .86); <i>Blaming Female Victims of Abuse</i> (F2-BW, 7 items, α = .62); <i>Violence as an Appropriate Problem-solving Strategy </i>(F3-VP, 5 items, : α = .69); and <i>Minimization and Exoneration of the Abuser</i> (F4-MA, 5 items, α = .53). Responses are given in a four-point scale from 1 (<i>totally disagree</i>) to 4 (<i>totally agree</i>), and the higher the scores, the higher the levels of distorted thoughts (i.e. the lower the rejection towards IPVAW). Finally, participants completed a brief questionnaire designed ad hoc, including some sociodemographic data, such as gender and age, and some questions about their previous training in IPVAW.
DOI: 10.6084/m9.figshare.12950291.v1
title: Study1PlosOneIPDMV

description: Participants were Spanish volunteers recruited in 2018-2019 by announcements in different Spanish education centers (participating universities, vocational training centers and high schools) (opportunity sample)<b>Instruments</b>The <b>Inventory of Beliefs about Intimate Partner Violence </b>(IBIPV, [64]) comprises 22 items rated on a seven-point scale from 1 (<i>totally disagree</i>) to 7 (<i>totally agree</i>) which reflect three dimensions: <i>Justifying Partner Violence </i>(F1-JPV, 6-items, α = .71); <i>Victims Responsible for Violence </i>(F2-VRV, 9-ítems, α = .93); and <i>Abuser Responsible for Violence </i>(F3-ARV, 7-items, α = .84). After reversing the scores of item 3, and the seven items of subscale ARV, so that all 22 items maintain the same sense in the construct, higher scores indicate higher tolerance towards IPVAW (i.e. lower rejection towards IPVAW). The <b>Inventory of Distorted Thoughts about Women and Violence</b> (IPDMV in the Spanish acronym, [57, 58]; adapted version of Ferrer et al. [61]) comprises 24 items related to four dimensions: <i>Inferiority of Women Compared to Men</i> (F1-IW, 7 items, α = .86); <i>Blaming Female Victims of Abuse</i> (F2-BW, 7 items, α = .62); <i>Violence as an Appropriate Problem-solving Strategy </i>(F3-VP, 5 items, : α = .69); and <i>Minimization and Exoneration of the Abuser</i> (F4-MA, 5 items, α = .53). Responses are given in a four-point scale from 1 (<i>totally disagree</i>) to 4 (<i>totally agree</i>), and the higher the scores, the higher the levels of distorted thoughts (i.e. the lower the rejection towards IPVAW). Finally, participants completed a brief questionnaire designed ad hoc, including some sociodemographic data, such as gender and age, and some questions about their previous training in IPVAW.
DOI: 10.5281/zenodo.4020746
title: Juno Radio Occultation Data Sets

description: These files report data products derived from Juno radio occultations of the Io plasma torus. Juno has used two different experimental configurations to conduct radio occultation observations of the Io plasma torus. A configuration with X-band uplink coherently driving both X-band downlink and Ka-band downlink was used on Perijoves 1 and 13. In this document, this is described as the (X/X, X/Ka) configuration. It is described in Phipps et al. 2018. A configuration with X-band uplink coherently driving X-band downlink and Ka-band coherently driving Ka-band downlink was used on Perijoves 3, 6, 8, 10, 11, 14, and 15. In this document, this is described as the (X/X, Ka/Ka) configuration. It is described in Phipps et al. 2019.The work of D. Buccino, M. Parisi and O. Yang was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Government sponsorship acknowledged. This work was supported in part by NASA award 80NSSC19K0818.
DOI: 10.5281/zenodo.4020745
title: Juno Radio Occultation Data Sets

description: These files report data products derived from Juno radio occultations of the Io plasma torus. Juno has used two different experimental configurations to conduct radio occultation observations of the Io plasma torus. A configuration with X-band uplink coherently driving both X-band downlink and Ka-band downlink was used on Perijoves 1 and 13. In this document, this is described as the (X/X, X/Ka) configuration. It is described in Phipps et al. 2018. A configuration with X-band uplink coherently driving X-band downlink and Ka-band coherently driving Ka-band downlink was used on Perijoves 3, 6, 8, 10, 11, 14, and 15. In this document, this is described as the (X/X, Ka/Ka) configuration. It is described in Phipps et al. 2019.The work of D. Buccino, M. Parisi and O. Yang was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Government sponsorship acknowledged. This work was supported in part by NASA award 80NSSC19K0818.
DOI: 10.6084/m9.figshare.12952271
title: Study1PlosOneIBIPV

description: Participants were Spanish volunteers recruited in 2018-2019 by announcements in different Spanish education centers (participating universities, vocational training centers and high schools) (opportunity sample). InstrumentsThe <b>Inventory of Beliefs about Intimate Partner Violence </b>(IBIPV, [64]) comprises 22 items rated on a seven-point scale from 1 (<i>totally disagree</i>) to 7 (<i>totally agree</i>) which reflect three dimensions: <i>Justifying Partner Violence </i>(F1-JPV, 6-items, α = .71); <i>Victims Responsible for Violence </i>(F2-VRV, 9-ítems, α = .93); and <i>Abuser Responsible for Violence </i>(F3-ARV, 7-items, α = .84). After reversing the scores of item 3, and the seven items of subscale ARV, so that all 22 items maintain the same sense in the construct, higher scores indicate higher tolerance towards IPVAW (i.e. lower rejection towards IPVAW). The <b>Inventory of Distorted Thoughts about Women and Violence</b> (IPDMV in the Spanish acronym, [57, 58]; adapted version of Ferrer et al. [61]) comprises 24 items related to four dimensions: <i>Inferiority of Women Compared to Men</i> (F1-IW, 7 items, α = .86); <i>Blaming Female Victims of Abuse</i> (F2-BW, 7 items, α = .62); <i>Violence as an Appropriate Problem-solving Strategy </i>(F3-VP, 5 items, : α = .69); and <i>Minimization and Exoneration of the Abuser</i> (F4-MA, 5 items, α = .53). Responses are given in a four-point scale from 1 (<i>totally disagree</i>) to 4 (<i>totally agree</i>), and the higher the scores, the higher the levels of distorted thoughts (i.e. the lower the rejection towards IPVAW). Finally, participants completed a brief questionnaire designed ad hoc, including some sociodemographic data, such as gender and age, and some questions about their previous training in IPVAW.