cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20142131
title: Datafile3_shaded_pupil_XOZ_cross section_linearly polarization femtosecond.csv

description: Underlying data for the 2D intensity distribution of the shaded-ring pupil function modulated focus based on the EGPG condition shown in Fig. 9b.
DOI: 10.6084/m9.figshare.20142131.v1
title: Datafile3_shaded_pupil_XOZ_cross section_linearly polarization femtosecond.csv

description: Underlying data for the 2D intensity distribution of the shaded-ring pupil function modulated focus based on the EGPG condition shown in Fig. 9b.
DOI: 10.6084/m9.figshare.20142077
title: Datafile2_Zaxis_linearly polarization.csv

description: Measured z profile of the focus of the linearly polarized beam.
DOI: 10.6084/m9.figshare.20142128
title: Datafile4_clear_pupil_XOZ_cross section_linearly polarization femtosecond.csv

description: Underlying data for the 2D intensity distribution of the original unmodulated focus shown in Fig. 9a.
DOI: 10.34943/c055d2a5-01af-4f8d-ad5d-fdc2a6ce1257
title: Black Berry Islands Automatic Identification Systems Receiver Deployed 2020-01-22

description: The Smart Radio SR162 AIS Receiver (SN 171751144) was deployed on 2020-01-22 at Black Berry Islands. Black Berry Islands are located in the Coronation Gulf in the Kitikmeot Region of Nunavut, southwest of Victoria Island. This device is a Automatic Identification Systems Receiver. Land-based Automatic Identification System (AIS) receivers provide data that track marine vessels within range of the receiver. The data are used to monitor, understand and mitigate the impacts of marine shipping activities. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.21350607
title: GCC model data and xyz files

description: Contents: catalyst_data.csv file contains all the features and targets for machine learning model training. The column "Catalyst Name" has a character string that is used as the prefix for the xyz files of the corresponding catalyst. The feature and target columns are explained in the paper and the supporting information. <br> catalystonly-xyzfiles is a directory that contains xyz files for all of the catalysts in this work <br> intermediates_xyz contains xyz files for all of the catalysts in this work with each of the intermediates bound throughout the catalytic cycle
DOI: 10.3886/e152681v1-129640
title: Not all disadvantages are equal

description: An analysis of institutional data to understand the outcome of obstacles faced by students from historically disadvantaged backgrounds is important in order to work towards promoting equity and inclusion. We use 10 years of institutional data at a large public research university to investigate the grades earned by students categorized on four demographic characteristics: gender, race/ethnicity, low-income status, and first-generation college student status. We find that on average across all years of study, underrepresented minority students experience a larger penalty to their mean overall and STEM GPA than even the most disadvantaged non-URM students. Moreover, the underrepresented minority students with additional disadvantages due to socioeconomic status or first-generation college status were further penalized in their average GPA. These inequitable outcomes point to systemic inequities in higher education for students with historically disadvantaged backgrounds and the need to dismantle institutional inertia to support them.
DOI: 10.6084/m9.figshare.21350637
title: Kevin Chen 2022 Honours isolate dataset

description: Details of isolates used for 2022 Honours project
DOI: 10.5519/qd.mkdl6ja4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.21127777.v4
title: Table_Unassigned

description: sasdaD
DOI: 10.6084/m9.figshare.21350664.v1
title: table_unassigned.txt

description: unassigned feature sequences
DOI: 10.6084/m9.figshare.21350586.v1
title: Phd Analysis for DIB Social Motivation.sav

description: <em>The statistics presented in the paper showed how social incentive has given informal entrepreneurs a long-term competitive advantage in their business operations. In other words, data was acquired based on how informal electronics firm owners continue to conduct business despite unfavourable business conditions, forcing them to compete against properly established businesses. The survival of informal enterprise was investigated in four Nigerian states in the southwestern region. The information was acquired using a descriptive survey research design. </em>
DOI: 10.5281/zenodo.7217860
title: Frequency, types, and factors associated with Complementary and Alternative Medicine use among patients on Maintenance Haemodialysis

description: <strong>Objective</strong>: This study aims to determine the prevalence, types, indications, and factors associated with CAM use by patients on maintenance haemodialysis (MHD) in Cameroon.
DOI: 10.5281/zenodo.7217859
title: Frequency, types, and factors associated with Complementary and Alternative Medicine use among patients on Maintenance Haemodialysis

description: <strong>Objective</strong>: This study aims to determine the prevalence, types, indications, and factors associated with CAM use by patients on maintenance haemodialysis (MHD) in Cameroon.
DOI: 10.5281/zenodo.7217998
title: Area-Efficient Memory Scheduling for Dynamically Scheduled High-Level Synthesis

description: Dataset for Area-Efficient Memory Scheduling for Dynamically Scheduled High-Level Synthesis
DOI: 10.5281/zenodo.7217997
title: Area-Efficient Memory Scheduling for Dynamically Scheduled High-Level Synthesis

description: Dataset for Area-Efficient Memory Scheduling for Dynamically Scheduled High-Level Synthesis
DOI: 10.23641/asha.21291345
title: Auditory comprehension review (Wallace et al., 2022)

description: <strong>Purpose: </strong>This scoping review examined studies reporting restorative treatments designed to improve auditory comprehension in people with aphasia. <strong>Method: </strong>We searched eight databases using keywords <em>aphasia, auditory comprehension, treatment, intervention,</em> and <em>rehabilitation</em>, for studies published between 1970 and 2020. Searches returned 170 records, and after applying exclusionary criteria, 28 articles remained. For each article, two authors independently extracted data on study design parameters, participant characteristics, treatment protocol, and treatment outcomes, including generalization. <strong>Results:</strong> Studies were categorized by treatment focus: direct auditory (<em>n</em> = 7), mixed auditory (<em>n </em>= 13), or indirect (<em>n</em> = 8). Study designs were group (<em>n</em> = 12), single-subject experimental design (<em>n</em> = 11), or case study (<em>n</em> = 5). Fifteen studies had a control condition and/or a control group. Thirteen studies included two to 10 participants. Aphasia severity and auditory comprehension severity were infrequently reported, and most participants were greater than 1-year poststroke. Treatment targets and tasks varied. Sessions ranged from 8 to 240 min, once or more per week, for eight to 60 total sessions over 2–20 weeks. Impairment-based outcome measures were typically used. Improvement and generalization were regularly reported; however, authors frequently did not report statistical significance. <strong>Conclusions: </strong>A variety of treatments have addressed auditory comprehension deficits in people with aphasia, with many reporting improvements in auditory comprehension for some people. However, the variability in treatment tasks and delivery and outcome measurements preclude confidently offering specific clinical recommendations for implementing auditory comprehension treatments. Gaps identified by the current study may guide the development and exploration of transparent, repeatable, patient-centered treatments. <strong>Supplemental Material S1.</strong> Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Checklist. <strong>Supplemental Material S2.</strong> Study parameters by treatment category. <strong>Supplemental Material S3. </strong>Participant demographic information by treatment category. <strong>Supplemental Material S4.</strong> Treatment delivery schedule by treatment category. <strong>Supplemental Material S5. </strong>Treatment outcomes and generalization by treatment category. Wallace, S. E., Patterson, J., Purdy, M., Knollman-Porter, K., & Coppens, P. (2022). Auditory comprehension interventions for people with aphasia: A scoping review. <em>American Journal of Speech-Language Pathology</em>. Advance online publication. https://doi.org/10.1044/2022_AJSLP-21-00297 <strong>Publisher Note: </strong>This article is part of the Special Issue: Select Papers From the 50th Clinical Aphasiology Conference.
DOI: 10.23641/asha.21291345.v1
title: Auditory comprehension review (Wallace et al., 2022)

description: <strong>Purpose: </strong>This scoping review examined studies reporting restorative treatments designed to improve auditory comprehension in people with aphasia. <strong>Method: </strong>We searched eight databases using keywords <em>aphasia, auditory comprehension, treatment, intervention,</em> and <em>rehabilitation</em>, for studies published between 1970 and 2020. Searches returned 170 records, and after applying exclusionary criteria, 28 articles remained. For each article, two authors independently extracted data on study design parameters, participant characteristics, treatment protocol, and treatment outcomes, including generalization. <strong>Results:</strong> Studies were categorized by treatment focus: direct auditory (<em>n</em> = 7), mixed auditory (<em>n </em>= 13), or indirect (<em>n</em> = 8). Study designs were group (<em>n</em> = 12), single-subject experimental design (<em>n</em> = 11), or case study (<em>n</em> = 5). Fifteen studies had a control condition and/or a control group. Thirteen studies included two to 10 participants. Aphasia severity and auditory comprehension severity were infrequently reported, and most participants were greater than 1-year poststroke. Treatment targets and tasks varied. Sessions ranged from 8 to 240 min, once or more per week, for eight to 60 total sessions over 2–20 weeks. Impairment-based outcome measures were typically used. Improvement and generalization were regularly reported; however, authors frequently did not report statistical significance. <strong>Conclusions: </strong>A variety of treatments have addressed auditory comprehension deficits in people with aphasia, with many reporting improvements in auditory comprehension for some people. However, the variability in treatment tasks and delivery and outcome measurements preclude confidently offering specific clinical recommendations for implementing auditory comprehension treatments. Gaps identified by the current study may guide the development and exploration of transparent, repeatable, patient-centered treatments. <strong>Supplemental Material S1.</strong> Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Checklist. <strong>Supplemental Material S2.</strong> Study parameters by treatment category. <strong>Supplemental Material S3. </strong>Participant demographic information by treatment category. <strong>Supplemental Material S4.</strong> Treatment delivery schedule by treatment category. <strong>Supplemental Material S5. </strong>Treatment outcomes and generalization by treatment category. Wallace, S. E., Patterson, J., Purdy, M., Knollman-Porter, K., & Coppens, P. (2022). Auditory comprehension interventions for people with aphasia: A scoping review. <em>American Journal of Speech-Language Pathology</em>. Advance online publication. https://doi.org/10.1044/2022_AJSLP-21-00297 <strong>Publisher Note: </strong>This article is part of the Special Issue: Select Papers From the 50th Clinical Aphasiology Conference.
DOI: 10.6084/m9.figshare.21350664.v2
title: table_unassigned.txt

description: unassigned feature sequences
DOI: 10.25952/52hr-8z44
title: The Relationship of Purpose in Life with Depression and Anxiety Data Set

description: This data set is the basis for a meta-analysis investigating the relationship of purpose in life with depression and anxiety across studies. The data set includes information for 99 effect sizes based on a total of 66,468 participants. Effect sizes and potential moderator information is presented in the rows. Column headings describe the nature of the information, such as whether the effect size is for the association of purpose in life with depression or anxiety, the number of participants contributing to the effect size, the mean age of the sample, and the percent of females in the sample. The data was extracted in 2022.
description: This data set is the basis for a meta-analysis investigating the relationship of purpose in life with depression and anxiety across studies. The data set includes information for 99 effect sizes based on a total of 66,468 participants. Effect sizes and potential moderator information is presented in the rows. Column headings describe the nature of the information, such as whether the effect size is for the association of purpose in life with depression or anxiety, the number of participants contributing to the effect size, the mean age of the sample, and the percent of females in the sample. The data was extracted in 2022.
DOI: 10.5519/qd.etwbux7n
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.25493/7s00-are
title: Reference delineations of the amygdalostriatal transition zone in individual sections of the BigBrain (v1)

description: This dataset contains cytoarchitectonic maps of the amygdalostriatal transition zone (AStr amygdala) in individual sections of the BigBrain. Delineations of the AStr amygdala were result of the cytoarchitectonic analysis of the structure in coronal histological sections at 1-micron resolution of the BigBrain dataset. They have been transformed to the sections of the 3D reconstructed BigBrain space using the transformations, which were provided by Claude Lepage (McGill).
DOI: 10.25493/x0m7-49m
title: Reference delineations of the centromedial amygdaloid group in individual sections of the BigBrain (v1)

description: This dataset contains cytoarchitectonic maps of the distinct subdivisions (central nucleus (Ce), medial nucleus (Me) and anterior amygdaloid area (AAA)) of the centromedial amygdaloid group (CM amygdala) in individual sections of the BigBrain. Delineations of these subdivisions were result of the cytoarchitectonic analysis of the CM amygdala in coronal histological sections at 1-micron resolution of the BigBrain dataset. They have been transformed to the sections of the 3D reconstructed BigBrain space using the transformations, which were provided by Claude Lepage (McGill).
DOI: 10.25493/h0nz-bj7
title: Reference delineations of the internal intermediate fiber masses of the amygdala in individual sections of the BigBrain (v1)

description: This dataset contains delineations of the distinct fiber bundles (intermediate orolateral fiber masses (iol), intermediate central fiber masses (ice), Lamella dorsalis (ld)) of the internal intermediate fiber masses of the amygdala complex (IF Amygdala) in the individual cytoarchitectonic sections the BigBrain. These fiber bundles were delineated on the basis of their topographic location in relation to the cytoarchitectonic subdivisions of the amygdala in high-resolution histological sections (at 1-micron) of the BigBrain dataset. They have been transformed to the sections of the 3D reconstructed BigBrain space using the transformations, which were provided by Claude Lepage (McGill).
DOI: 10.25493/gatj-tq0
title: Reference delineations of the laterobasal amygdaloid group in individual sections of the BigBrain (v1)

description: This dataset contains cytoarchitectonic maps of the distinct subdivisions (lateral nucleus (La), basolateral nucleus (Bl), basomedial nucleus (Bm) and paralaminar nucleus (Pl)) of the laterobasal amygdaloid group (LB amygdala) in individual sections of the BigBrain. Delineations of the subdivisions were result of the cytoarchitectonic analysis of the LB amygdala in coronal histological sections at 1-micron resolution of the BigBrain dataset. They have been transformed to the sections of the 3D reconstructed BigBrain space using the transformations, which were provided by Claude Lepage (McGill).
DOI: 10.25493/xya4-9tz
title: Reference delineations of the internal medial fiber masses of the amygdala in individual sections of the BigBrain (v1)

description: This dataset contains delineations of the distinct fiber bundles (intermediate caudomedial fiber masses (icm) and Lamella medialis (lm)) of the internal medial fiber masses of the amygdala complex (MF amygdala) in the individual, cytoarchitectonic coronal sections of the BigBrain. These fiber bundles were delineated on the basis of their topographic location in relation to the cytoarchitectonic subdivisions of the amygdala complex in high-resolution histological sections (at 1-micron) of the BigBrain dataset. They have been transformed to the sections of the 3D reconstructed BigBrain space using the transformations, which were provided by Claude Lepage (McGill).
DOI: 10.25493/n8f7-beg
title: Reference delineations of the superficial amygdaloid group in individual sections of the BigBrain (v1)

description: This dataset contains cytoarchitectonic delineations of the distinct subdivisions (amygdalopiriform transition area (APir), amygdalohippocampal transition area, dorsal (AHid) and ventral part (AHiv), ventral cortical nucleus, dorsal (VCod), and ventral part (VCov)) of the superficial amygdaloid group (SF amygdala) in individual sections of the BigBrain. Delineations of the subdivisions were result of the cytoarchitectonic analysis of the SF amygdala in coronal histological sections at 1-micron resolution of the BigBrain dataset. They have been transformed to the sections of the 3D reconstructed BigBrain space using the transformations, which were provided by Claude Lepage (McGill).
DOI: 10.25493/qc0g-xjk
title: Reference delineations of the ventromedial tract of the Stria terminalis in the individual sections of the BigBrain (v1)

description: This dataset contains delineations of the ventromedial tract of the Stria terminalis (VTM amygdala), external fiber bundle associated with the amygdala complex, in the individual cytoarchitectonic sections of the BigBrain. This fiber bundle was delineated on the basis of its topographic location in relation to the cytoarchitectonic subdivisions of the amygdala in the high-resolution histological sections (at 1-micron) of the BigBrain dataset. They have been transformed to the sections of the 3D reconstructed BigBrain space using the transformations, which were provided by Claude Lepage (McGill).
DOI: 10.25493/tktp-7nr
title: Ultrahigh resolution 3D cytoarchitectonic map of the human amygdala created by a Deep-Learning assisted workflow (v1)

description: This dataset contains automatically created detailed map of 13 cytoarchitectonic subdivisions of the amygdala and 6 fiber bundles in the BigBrain dataset. The mappings were created using Deep Convolutional Neural Networks based on Schiffer et al 2021, which were trained on delineations on at least every 15th section created based on Kedo et al 2018. Mappings are available on every section. Their quality was observed by a trained neuroscientist to exclude sections with low quality results from further processing. Automatic mappings were transformed to the 3D reconstructed BigBrain space using transformations used in Amunts et al 2013, which were provided by Claude Lepage (McGill). Mappings on individual sections were used to assemble 3D volumes of all areas. Low quality results were replaced by interpolation between nearest neighboring sections. The volumes were then smoothed using a 3D median filter and largest connected components were identified to remove false positive results of the classification algorithm. The dataset consists of a HDF5 file containing the volume in RAS dimension ordering (20-micron isotropic resolution, dataset “volume”) and an affine transformation matrix (dataset “affine”). An additional dataset “interpolation_info” contains an integer vector with an integer value for each section which indicates if a section was replaced by interpolation due to low quality results (value 2) or not (value 1). Due to the large size of the volume, it is recommended to view the data online using the provided viewer link.
DOI: 10.6084/m9.figshare.20511039
title: Deducing Lunar Regolith Porosity from Energetic Neutral Atom Emission (Dataset)

description: This dataset contains accompanying data for the manuscript "Deducing Lunar Regolith Porosity from Energetic Neutral Atom Emission " by P.S. Szabo et al. <br> In particular, an example "tri.inp" input file for SDTrimSP-3D simulations is included, as well as the data plotted in the figures of the main manuscript and the supporting information.
DOI: 10.34740/kaggle/dsv/4343680
title: OntoUML/UFO Catalog
DOI: 10.5281/zenodo.7218066
title: Simultaneous determination of I/Ca and other elemental ratios in foraminifera: comparing results from acidic and basic solutions

description: This is the supplementary data for paper "Simultaneous determination of I/Ca and other elemental ratios in foraminifera: comparing results from acidic and basic solutions" published in AGU journal Geochemistry, Geophysics, Geosystems.
DOI: 10.5281/zenodo.7218065
title: Simultaneous determination of I/Ca and other elemental ratios in foraminifera: comparing results from acidic and basic solutions

description: This is the supplementary data for paper "Simultaneous determination of I/Ca and other elemental ratios in foraminifera: comparing results from acidic and basic solutions" published in AGU journal Geochemistry, Geophysics, Geosystems.
DOI: 10.26180/21097654.v1
title: ASPREE Genome-wide SNP Genotyping Dataset

description: ASPirin in Reducing Events in the Elderly (ASPREE) is a clinical trial and longitudinal study of healthy ageing, involving 16,703 Australians aged over 70 years and 2,411 Americans aged over 65 enrolled. The primary ASPREE trial has received &gt;$60M in NIH funding since 2012. Each ASPREE participants’ health is tracked longitudinally through extensive phenotyping and collection of clinical outcome data. The ASPREE Healthy Ageing Biobank is an associated biorepository of blood, saliva and urine samples from &gt;15,000 ASPREE participants, 10,000 of whom have now provided a matched follow-up 3-year sample. Biospecimens are consented for genetic and biomarker studies, enabling ASPREE to conduct molecular epidemiology and healthy ageing research. ASPREE facilitates over 12 sub-studies funded through NHMRC. Genome wide association analysis has been undertaken in multiple areas: All-cause and vascular dementia Stroke Genetic modifiers for Alzheimer's disease Poygenic resilence scores capture genetic effect for Alzheimers disease Genome wide association analysis for Alzheimers Disease https://bioplatforms.com/projects/aspree-framework-initiative/ To make data requests, you may undertake an approval process by contacting Paul Lacaze on Paul.Lacaze@monash.edu <br> <br>