cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.8121191.v1
title: Multiple channels in sign-supported speech (Mastrantuono et al., 2019)

description: <b>Purpose: </b>The use of sign-supported speech (SSS) in the education of deaf students has been recently discussed in relation to its usefulness with deaf children using cochlear implants. To clarify the benefits of SSS for comprehension, 2 eye-tracking experiments aimed to detect the extent to which signs are actively processed in this mode of communication.<b>Method: </b>Participants were 36 deaf adolescents, including cochlear implant users and native deaf signers. Experiment 1 attempted to shift observers’ foveal attention to the linguistic source in SSS from which most information is extracted, lip movements or signs, by magnifying the face area, thus modifying lip movements perceptual accessibility (magnified condition), and by constraining the visual field to either the face or the sign through a moving window paradigm (gaze contingent condition). Experiment 2 aimed to explore the reliance on signs in SSS by occasionally producing a mismatch between sign and speech. Participants were required to concentrate upon the orally transmitted message.<b>Results: </b>In Experiment 1, analyses revealed a greater number of fixations toward the signs and a reduction in accuracy in the gaze contingent condition across all participants. Fixations toward signs were also increased in the magnified condition. In Experiment 2, results indicated less accuracy in the mismatching condition across all participants. Participants looked more at the sign when it was inconsistent with speech.<b>Conclusions: </b>All participants, even those with residual hearing, rely on signs when attending SSS, either peripherally or through overt attention, depending on the perceptual conditions.<br><b>Supplemental Material S1. </b>Tables including fixed effects of generalized linear mixed-effects regression (GLMER) analyses. <br><b>Supplemental Material S2.</b> Background skills. <br>Mastrantuono, E., Burigo, M., Rodríguez-Ortiz, I. R., & Saldaña, D. (2019). The role of multiple articulatory channels of sign-supported speech revealed by visual processing. <i>Journal of Speech, Language, and Hearing Research, 62, </i>1625–1656. https://doi.org/10.1044/2019_JSLHR-S-17-0433
DOI: 10.6084/m9.figshare.8121086
title: Data on the monitoring and assessment of areas undergoing restoration in the Atlantic Forest

description: Data about the monitoring of 733 areas undergoing restoration in the Brazilian Atlantic Forest used to calculate the sampling sufficiency for monitoring. Data must be used only under request.
DOI: 10.6084/m9.figshare.8121086.v1
title: Sample sufficiency data for monitoring areas undergoing restoration in the Atlantic Forest

description: Data about the monitoring of 733 areas undergoing restoration in the Brazilian Atlantic Forest used to calculate the sampling sufficiency for monitoring. Data must be used only under request.
DOI: 10.6084/m9.figshare.8121008
title: MOESM1 of High primary resistance to metronidazole and levofloxacin, and a moderate resistance to clarithromycin in Helicobacter pylori isolated from Karnataka patients

description: Additional file 1. Patient demographics and MIC values. This file contains the minimum inhibitory concentrations of all tested H. pylori clinical strains and the demographic characteristics of patients recruited in this study.
DOI: 10.6084/m9.figshare.8120957
title: Older Files with different circuitResponse of T4 Cardinal direction 2 to sinusoid stimuli

description: Gzipped file<br>Response of T4 Cardinal direction 2 to sinusoidal stimuli.Single column per stimuli, 80 columns<br>8 directions X 10 velocities: 0.1 Hz to 20 Hz<br>10 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120957.v1
title: Response of T4 Cardinal direction 2 to sinusoid stimuli

description: Gzipped file<br>Response of T4 Cardinal direction 2 to sinusoidal stimuli.Single column per stimuli, 80 columns<br>8 directions X 10 velocities: 0.1 Hz to 20 Hz<br>10 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120939
title: Older Files with different circuitResponse of T4 Cardinal direction 1 to sinusoidal grating stimuli

description: Gzipped file<br>Response of T4 Cardinal direction 1 to sinusoidal stimuli.Single column per stimuli, 80 columns<br>8 directions X 10 velocities: 0.1 Hz to 20 Hz<br>10 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120939.v1
title: Response of T4 Cardinal direction 1 to sinusoidal grating stimuli

description: Gzipped file<br>Response of T4 Cardinal direction 1 to sinusoidal stimuli.Single column per stimuli, 80 columns<br>8 directions X 10 velocities: 0.1 Hz to 20 Hz<br>10 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120936
title: Older Files with different circuitResponse of T4 Cardinal direction 2 to bar stimuli

description: Gzipped file<br>Response of T4 Cardinal direction 2 to bar stimuli.Single column per stimuli, 80 columns<br>8 directions X 10 velocities: 12 deg/s to 200 deg/s<br>3 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120936.v1
title: Response of T4 Cardinal direction 2 to bar stimuli

description: Gzipped file<br>Response of T4 Cardinal direction 2 to bar stimuli.Single column per stimuli, 80 columns<br>8 directions X 10 velocities: 12 deg/s to 200 deg/s<br>3 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120930
title: Older Files with different circuitResponse of T4 Cardinal direction 1 to bar stimuli

description: Gzipped file<br>Response of T4 Cardinal direction 1 to bar stimuli.Single column per stimuli, 80 columns<br>8 directions X 10 velocities: 12 deg/s to 200 deg/s<br>3 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120930.v1
title: Response of T4 Cardinal direction 1 to bar stimuli

description: Gzipped file<br>Response of T4 Cardinal direction 1 to bar stimuli.Single column per stimuli, 80 columns<br>8 directions X 10 velocities: 12 deg/s to 200 deg/s<br>3 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120915
title: Older Files with different circuitResponse of Mi9-Mi4-C3-L5-L1 to sinusoid stimuli

description: Gzipped file<br>Response of Mi9 Mi4 C3 L5 L1 Pr-FP to sinusoid stimuli.Columns are 2+2+2+2+3+1 (#of compartment per neuron)<br>50 velocities: 0.1 Hz to 50 Hz<br>10 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120915.v1
title: Response of Mi9-Mi4-C3-L5-L1 to sinusoid stimuli

description: Gzipped file<br>Response of Mi9 Mi4 C3 L5 L1 Pr-FP to sinusoid stimuli.Columns are 2+2+2+2+3+1 (#of compartment per neuron)<br>50 velocities: 0.1 Hz to 50 Hz<br>10 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120912
title: Conformers Dataset

description: Dataset for the publication: Bayesian Optimization for Conformer Generation
DOI: 10.6084/m9.figshare.8120879
title: Older Files with different circuitResponse of neurons Mi9-Mi4-C3-L5-L1 to bar stimuli

description: Gzipped file<br>Response of Mi9 Mi4 C3 L5 L1 Pr-FP to bar stimuli.Columns are 2+2+2+2+3+1 (#of compartment per neuron)<br>100 velocities: 12 deg/s to 4000 deg/s<br>10 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120879.v1
title: Mi9-Mi4-C3-L5-L1-bar.out.gz

description: Gzipped file<br>Response of Mi9 Mi4 C3 L5 L1 Pr-FP to bar stimuli.Columns are 2+2+2+2+3+1 (#of compartment per neuron)<br>100 velocities: 12 deg/s to 4000 deg/s<br>10 second of data in 0.01 ms timestep
DOI: 10.6084/m9.figshare.8120825
title: Data for 2019JG005243

description: This dataset belongs to a JGR-Biogeosciences manuscript entitled 'Stable carbon and oxygenisotopes in shell carbonates of modern land snails in China: their relationships to environment variables'. Please cite the according reference if you want to use the data.
DOI: 10.6084/m9.figshare.8120825.v1
title: Data for 2019JG005243

description: This dataset belongs to a JGR-Biogeosciences manuscript entitled 'Stable carbon and oxygenisotopes in shell carbonates of modern land snails in China: their relationships to environment variables'. Please cite the according reference if you want to use the data.
DOI: 10.6084/m9.figshare.8120798
title: Stable carbon and oxygen isotopes in land snail shell carbonates over China

description: This dataset belongs to a JGR-Biogeosciences manuscript entitled 'Stable carbon and oxygenisotopes in shell carbonates of modern land snails in China: their relationships to environment variables'. Please cite the according reference if you want to use the data.<br>
DOI: 10.6084/m9.figshare.8120798.v1
title: Stable carbon and oxygen isotopes in land snail shell carbonates over China

description: This dataset belongs to a JGR-Biogeosciences manuscript entitled 'Stable carbon and oxygenisotopes in shell carbonates of modern land snails in China: their relationships to environment variables'. Please cite the according reference if you want to use the data.<br>
DOI: 10.6084/m9.figshare.8120759
title: Volkswagen AG_Financial Analysis_EAE

description: Volkswagen AG Financial Analysis EAE
DOI: 10.6084/m9.figshare.8120759.v1
title: Volkswagen AG_Financial Analysis_EAE

description: Volkswagen AG Financial Analysis EAE
DOI: 10.6084/m9.figshare.8120759.v2
title: Volkswagen AG_Financial Analysis_EAE

description: Volkswagen AG Financial Analysis EAE
DOI: 10.6084/m9.figshare.8120759.v4
title: Volkswagen AG_Financial Analysis_EAE

description: Volkswagen AG Financial Analysis EAE
DOI: 10.6084/m9.figshare.8120759.v3
title: Volkswagen AG_Financial Analysis_EAE

description: Volkswagen AG Financial Analysis EAE
DOI: 10.6084/m9.figshare.8120753
title: Table 1 and 2.xlsx

description: This is the excel spreadsheets created as part of my Thesis research. The purpose of this study was to review Sustainability Reports (SRs) issued by The Hartford Financial Services Group (HIG), and determine what concepts of corporate social responsibility (CSR) are reported, to what standard are the reports made, the degree in which corporate activity regarding CSR are reported, and how readily available this information is. Copies of HIG’s SRs were obtained through the Global Reporting Initiative’s (GRI) Sustainability Disclosure Database, and copies of HIG’s Annual 10-K Report to the U.S. Securities and Exchange Commission were obtained through HIG’s Investor Relations website. The disclosures were categorized based on the “three pillars of sustainability” as defined by the Brundtland Commission and Morelli (2011). These disclosures contained classifications under all “three pillars”, with the majority of disclosures falling underneath more than one classification.
DOI: 10.6084/m9.figshare.8120747
title: MOT-360 Face

description: <b>--------------------------------</b><b>MOT-360 Face Dataset</b><b>--------------------------------</b><b><br></b><b><br></b>Description:<br>This dataset contains 7,409 equirectangular and normalized face images from 52 unique identities. It also contains a .csv file with the following fields for each face image:<br>- Annotation ID- Face ID- Left Eye (in pixel coordinates)- Right Eye (in pixel coordinates)<br>- Camera Angles (to retrieve the original spherical image)<br>Observations:<br>- All filenames obey the format &lt;<i>face_id</i>&gt;@&lt;<i>annotation</i>_id&gt;_EN.png (where "EN" stands for "Equirectangular Normalized")- The images are not evenly distributed among the identities- Each identity contains at least 25 images<br>Citation:<br>When referencing the dataset, please use the following BibTex citation:<br>@inproceedings{Cirne2019, author = "M. Cirne and F. Andalo and R. Dias and T. Resek and G. Bertocco and R. Torres and A. Rocha", title = "Deep Face Verification for Spherical Images", booktitle = "{IEEE} International Conference on Image Processing", year = "2019"}
DOI: 10.6084/m9.figshare.8120747.v1
title: MOT-360 Face

description: <b>--------------------------------</b><b>MOT-360 Face Dataset</b><b>--------------------------------</b><b><br></b><b><br></b>Description:<br>This dataset contains 7,409 equirectangular and normalized face images from 52 unique identities. It also contains a .csv file with the following fields for each face image:<br>- Annotation ID- Face ID- Left Eye (in pixel coordinates)- Right Eye (in pixel coordinates)<br>- Camera Angles (to retrieve the original spherical image)<br>Observations:<br>- All filenames obey the format &lt;<i>face_id</i>&gt;@&lt;<i>annotation</i>_id&gt;_EN.png (where "EN" stands for "Equirectangular Normalized")- The images are not evenly distributed among the identities- Each identity contains at least 25 images<br>Citation:<br>When referencing the dataset, please use the following BibTex citation:<br>@inproceedings{Cirne2019, author = "M. Cirne and F. Andalo and R. Dias and T. Resek and G. Bertocco and R. Torres and A. Rocha", title = "Deep Face Verification for Spherical Images", booktitle = "{IEEE} International Conference on Image Processing", year = "2019"}
DOI: 10.6084/m9.figshare.8120747.v3
title: MOT-360 Face

description: <b>--------------------------------</b><b>MOT-360 Face Dataset</b><b>--------------------------------</b><b><br></b><b><br></b>Description:<br>This dataset contains 7,409 equirectangular and normalized face images from 52 unique identities. It also contains a .csv file with the following fields for each face image:<br>- Annotation ID- Face ID- Left Eye (in pixel coordinates)- Right Eye (in pixel coordinates)<br>- Camera Angles (to retrieve the original spherical image)<br>Observations:<br>- All filenames obey the format &lt;<i>face_id</i>&gt;@&lt;<i>annotation</i>_id&gt;_EN.png (where "EN" stands for "Equirectangular Normalized")- The images are not evenly distributed among the identities- Each identity contains at least 25 images<br>Citation:<br>When referencing the dataset, please use the following BibTex citation:<br>@inproceedings{Cirne2019, author = "M. Cirne and F. Andalo and R. Dias and T. Resek and G. Bertocco and R. Torres and A. Rocha", title = "Deep Face Verification for Spherical Images", booktitle = "{IEEE} International Conference on Image Processing", year = "2019"}
DOI: 10.6084/m9.figshare.8120747.v2
title: MOT-360 Face

description: <b>--------------------------------</b><b>MOT-360 Face Dataset</b><b>--------------------------------</b><b><br></b><b><br></b>Description:<br>This dataset contains 7,409 equirectangular and normalized face images from 52 unique identities. It also contains a .csv file with the following fields for each face image:<br>- Annotation ID- Face ID- Left Eye (in pixel coordinates)- Right Eye (in pixel coordinates)<br>- Camera Angles (to retrieve the original spherical image)<br>Observations:<br>- All filenames obey the format &lt;<i>face_id</i>&gt;@&lt;<i>annotation</i>_id&gt;_EN.png (where "EN" stands for "Equirectangular Normalized")- The images are not evenly distributed among the identities- Each identity contains at least 25 images<br>Citation:<br>When referencing the dataset, please use the following BibTex citation:<br>@inproceedings{Cirne2019, author = "M. Cirne and F. Andalo and R. Dias and T. Resek and G. Bertocco and R. Torres and A. Rocha", title = "Deep Face Verification for Spherical Images", booktitle = "{IEEE} International Conference on Image Processing", year = "2019"}
DOI: 10.6084/m9.figshare.8120723
title: Reporte name One

description: Introduction<br>111111<br><br>Methods<br>11111<br><br>Results<br>11111<br><br>Discussion<br>11111<br><br>
DOI: 10.6084/m9.figshare.8120723.v1
title: Reporte name One

description: Introduction<br>111111<br><br>Methods<br>11111<br><br>Results<br>11111<br><br>Discussion<br>11111<br><br>
DOI: 10.6084/m9.figshare.8120720
title: Case Study (Bigger isn’t always better) - Financial Analysis

description: Case Study (Bigger isn’t always better)_Cash Flow and Ratios_EAE<br>
DOI: 10.6084/m9.figshare.8120720.v1
title: Case Study (Bigger isn’t always better) - Financial Analysis

description: Case Study (Bigger isn’t always better)_Cash Flow and Ratios_EAE<br>
DOI: 10.6084/m9.figshare.8120657
title: Indalecia de Andrade dos Santos.pdf

description: Monografia
DOI: 10.6084/m9.figshare.8120657.v1
title: Indalecia de Andrade dos Santos.pdf

description: Monografia
DOI: 10.6084/m9.figshare.8119211
title: Impact of planted hedgerow fallows on nutrient balances in a groundnut/maize/cassava intercrop

description: To assess if the nutrient supply through planted tree fallows meets crop nutrient uptake and export, N, P, K, Ca and Mg uptake and export by a groundnut/maize/cassava intercrop was compared with the nutrient uptake by three planted fallow systems (<i>Senna spectabilis, Flemingia macrophylla, Dactyladenia barteri</i>) and a no-tree control. Three cycles of two years fallow and one year cropping on Ultisol in southern Cameroon were studied. Fallows were slashed and burned. The fallow system had no consistent effect on nutrient uptake by individual crops. Crop nutrient uptake was most often highest in the <i>S. spectabilis</i> system. Nitrogen balances were generally negative due to N loss in the burn. Across three cropping cycles, the balance of fallow nutrient uptake versus total crop nutrient uptake was only in the <i>S. spectabilis</i> system positive for all nutrients. Nutrient export by all crops (mean of three years) was unaffected by fallow systems. The fallow nutrient uptake versus crop nutrient export balance was positive for all nutrients and systems. Planted fallows appear capable of acquiring sufficient nutrient stocks during fallow phases, covering the crops’ demand. Fallow N and K uptake and crop export declined with every fallow/cropping cycle.
DOI: 10.6084/m9.figshare.8119181
title: Movies and VRML files illustrating Figure 6 (b,c). from Volumetric finite-element modelling of biological growth

description: Differential growth is the driver of tissue morphogenesis in plants, and also plays a fundamental role in animal development. Although the contributions of growth to shape change have been captured through modelling tissue sheets or isotropic volumes, a framework for modelling both isotropic and anisotropic volumetric growth in three dimensions over large changes in size and shape has been lacking. Here, we describe an approach based on finite-element modelling of continuous volumetric structures, and apply it to a range of forms and growth patterns, providing mathematical validation, for examples, that admit analytic solution. We show that a major difference between sheet and bulk tissues is that the growth of bulk tissue is more constrained, reducing the possibility of tissue conflict resolution through deformations such as buckling. Tissue sheets or cylinders may be generated from bulk shapes through anisotropic specified growth, oriented by a polarity field. A second polarity field, orthogonal to the first, allows sheets with varying lengths and widths to be generated, as illustrated by the wide range of leaf shapes observed in nature. The framework we describe thus provides a key tool for developing hypotheses for plant morphogenesis and is also applicable to other tissues that deform through differential growth or contraction.
DOI: 10.6084/m9.figshare.8119178
title: Movies and VRML files illustrating Figure 16 (h,i,j,k). from Volumetric finite-element modelling of biological growth

description: Differential growth is the driver of tissue morphogenesis in plants, and also plays a fundamental role in animal development. Although the contributions of growth to shape change have been captured through modelling tissue sheets or isotropic volumes, a framework for modelling both isotropic and anisotropic volumetric growth in three dimensions over large changes in size and shape has been lacking. Here, we describe an approach based on finite-element modelling of continuous volumetric structures, and apply it to a range of forms and growth patterns, providing mathematical validation, for examples, that admit analytic solution. We show that a major difference between sheet and bulk tissues is that the growth of bulk tissue is more constrained, reducing the possibility of tissue conflict resolution through deformations such as buckling. Tissue sheets or cylinders may be generated from bulk shapes through anisotropic specified growth, oriented by a polarity field. A second polarity field, orthogonal to the first, allows sheets with varying lengths and widths to be generated, as illustrated by the wide range of leaf shapes observed in nature. The framework we describe thus provides a key tool for developing hypotheses for plant morphogenesis and is also applicable to other tissues that deform through differential growth or contraction.
DOI: 10.6084/m9.figshare.8119175
title: Movies and VRML files illustrating Figure 13 (d). from Volumetric finite-element modelling of biological growth

description: Differential growth is the driver of tissue morphogenesis in plants, and also plays a fundamental role in animal development. Although the contributions of growth to shape change have been captured through modelling tissue sheets or isotropic volumes, a framework for modelling both isotropic and anisotropic volumetric growth in three dimensions over large changes in size and shape has been lacking. Here, we describe an approach based on finite-element modelling of continuous volumetric structures, and apply it to a range of forms and growth patterns, providing mathematical validation, for examples, that admit analytic solution. We show that a major difference between sheet and bulk tissues is that the growth of bulk tissue is more constrained, reducing the possibility of tissue conflict resolution through deformations such as buckling. Tissue sheets or cylinders may be generated from bulk shapes through anisotropic specified growth, oriented by a polarity field. A second polarity field, orthogonal to the first, allows sheets with varying lengths and widths to be generated, as illustrated by the wide range of leaf shapes observed in nature. The framework we describe thus provides a key tool for developing hypotheses for plant morphogenesis and is also applicable to other tissues that deform through differential growth or contraction.
DOI: 10.6084/m9.figshare.8119175.v1
title: Movies and VRML files illustrating Figure 13 (d). from Volumetric finite-element modelling of biological growth

description: Differential growth is the driver of tissue morphogenesis in plants, and also plays a fundamental role in animal development. Although the contributions of growth to shape change have been captured through modelling tissue sheets or isotropic volumes, a framework for modelling both isotropic and anisotropic volumetric growth in three dimensions over large changes in size and shape has been lacking. Here, we describe an approach based on finite-element modelling of continuous volumetric structures, and apply it to a range of forms and growth patterns, providing mathematical validation, for examples, that admit analytic solution. We show that a major difference between sheet and bulk tissues is that the growth of bulk tissue is more constrained, reducing the possibility of tissue conflict resolution through deformations such as buckling. Tissue sheets or cylinders may be generated from bulk shapes through anisotropic specified growth, oriented by a polarity field. A second polarity field, orthogonal to the first, allows sheets with varying lengths and widths to be generated, as illustrated by the wide range of leaf shapes observed in nature. The framework we describe thus provides a key tool for developing hypotheses for plant morphogenesis and is also applicable to other tissues that deform through differential growth or contraction.