cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19398090
title: Big Data Analysis of Vision Screening Standards Used to Evaluate Fitness to Drive

description: Visual acuity (VA) assessment is the most commonly performed vision screening method for drivers. The standards and repeat assessment intervals used, however, are arbitrary, lack an evidence base and are highly variable across different countries. This study utilizes the power of Big Data to provide evidence-based recommendations for standardized driver vision screening. Anonymized electronic medical record data were gathered from 40 Irish optometry practices comprising 81,184 unique patients. A Kaplan–Meier Survival (KMS) analysis was used to determine the effect of increasing age and time since screening on the likelihood of passing the VA standard for driving. A logistic function was fit to assess the effect of varying the minimum VA standard required to drive on the screening pass rate within the population. The likelihood of failing repeat screening increased as a function of time since initial screening for all age groups (<i>χ</i><sup>2 </sup>=1447, df = 6, <i>p</i>&lt;.001), with older patients most affected. Rescreening intervals for individuals who initially met the vision standard unaided reduced as a function of age. Using an 80% survivability threshold, intervals ranged from every eight years for drivers under 50, reducing to every two years for those aged over 80. Rescreening intervals for drivers requiring optical correction to meet the standard also decreased with age. Approximately, 1% of individuals are excluded from driving using a 0.3 logMAR VA standard with correction. VA-based screening should take place at regular intervals for all drivers, not just those over 70. Re-screening intervals should be based on age, with shorter intervals for older drivers due to the combined effect of age and time on the likelihood of passing the driving VA standards. The most commonly used standard of 0.3 logMAR results in a minimal number of potential drivers being excluded from driving.
DOI: 10.6084/m9.figshare.19398090.v1
title: Big Data Analysis of Vision Screening Standards Used to Evaluate Fitness to Drive

description: Visual acuity (VA) assessment is the most commonly performed vision screening method for drivers. The standards and repeat assessment intervals used, however, are arbitrary, lack an evidence base and are highly variable across different countries. This study utilizes the power of Big Data to provide evidence-based recommendations for standardized driver vision screening. Anonymized electronic medical record data were gathered from 40 Irish optometry practices comprising 81,184 unique patients. A Kaplan–Meier Survival (KMS) analysis was used to determine the effect of increasing age and time since screening on the likelihood of passing the VA standard for driving. A logistic function was fit to assess the effect of varying the minimum VA standard required to drive on the screening pass rate within the population. The likelihood of failing repeat screening increased as a function of time since initial screening for all age groups (<i>χ</i><sup>2 </sup>=1447, df = 6, <i>p</i>&lt;.001), with older patients most affected. Rescreening intervals for individuals who initially met the vision standard unaided reduced as a function of age. Using an 80% survivability threshold, intervals ranged from every eight years for drivers under 50, reducing to every two years for those aged over 80. Rescreening intervals for drivers requiring optical correction to meet the standard also decreased with age. Approximately, 1% of individuals are excluded from driving using a 0.3 logMAR VA standard with correction. VA-based screening should take place at regular intervals for all drivers, not just those over 70. Re-screening intervals should be based on age, with shorter intervals for older drivers due to the combined effect of age and time on the likelihood of passing the driving VA standards. The most commonly used standard of 0.3 logMAR results in a minimal number of potential drivers being excluded from driving.
DOI: 10.6084/m9.figshare.19418961.v1
title: A Simple Secretion Assay for Assessing New and Existing Myocilin Variants

description: A lack of sufficient functional information exists for appropriately categorizing a large number of myocilin (MYOC) variants and their involvement in primary open angle glaucoma, hindering their clinical significance classification. Most glaucoma-causing MYOC mutations result in protein non-secretion and intracellular insoluble aggregate formation in cultured cells. Herein, we generated a <i>Gaussia</i> luciferase-based MYOC fusion protein to quickly and sensitively track the secretion of MYOC variants and compared these results to the better-established western blotting assay for MYOC. Fourteen clinically-derived MYOC variants with varying degrees of predicted pathogenicity were transfected into HEK-293A cells and analyzed by either a luciferase assay or western blotting. Eight of the variants (G12R, V53A, T204T, P254L, T325T, D380H, D395_E396insDP, and P481S) had not been biochemically assessed previously. Of these, P254L and D395_E396insDP demonstrated significant secretion defects reminiscent of glaucoma-causing mutations. The luciferase assay results agreed with western blotting for thirteen of the fourteen variants (93%), suggesting a strong concordance. These results suggest that the <i>Gaussia</i> luciferase assay may be used as a complementary or standalone assay for quickly assessing MYOC variant behavior and we anticipate that these results will be useful in MYOC variant curation and reclassification.
DOI: 10.6084/m9.figshare.19990835
title: Análisis regional de frecuencia para determinación de mapas de eventos de sequía en Perú

description: El análisis regional de frecuencia con L momentos y el procedimiento de índice de avenida, han permitido determinar mapas de períodos de retorno de sequías meteorológicas teóricas correspondientes a 40%, 60% y 80% de deficiencia respecto a la precipitación media multianual (PMA) a escala de todo el Perú. Se concluye que las zonas con régimen de precipitación más húmedo (mayor PMA) se asocian con menor frecuencia de déficit de precipitación respecto de la condición normal, sin embargo en zonas con régimen de precipitación más seco (menor PMA) se asocia con mayor frecuencia de déficit de precipitación . Asimismo, las zonas potenciales a presentar sequías meteorológicas se localizan hacia la región hidrográfica del Pacifico y del Titicaca con intervalos de ocurrencia de 3 a 20 años y 5 a 200 años respectivamente, mientras que en la región hidrográfica del Amazonas se presentarían con intervalos entre 10 a más de 200 años. Para más detalle revisar el archivo pdf y asc.
DOI: 10.6084/m9.figshare.19990835.v1
title: Análisis regional de frecuencia para determinación de mapas de eventos de sequía en Perú

description: El análisis regional de frecuencia con L momentos y el procedimiento de índice de avenida, han permitido determinar mapas de períodos de retorno de sequías meteorológicas teóricas correspondientes a 40%, 60% y 80% de deficiencia respecto a la precipitación media multianual (PMA) a escala de todo el Perú. Se concluye que las zonas con régimen de precipitación más húmedo (mayor PMA) se asocian con menor frecuencia de déficit de precipitación respecto de la condición normal, sin embargo en zonas con régimen de precipitación más seco (menor PMA) se asocia con mayor frecuencia de déficit de precipitación . Asimismo, las zonas potenciales a presentar sequías meteorológicas se localizan hacia la región hidrográfica del Pacifico y del Titicaca con intervalos de ocurrencia de 3 a 20 años y 5 a 200 años respectivamente, mientras que en la región hidrográfica del Amazonas se presentarían con intervalos entre 10 a más de 200 años. Para más detalle revisar el archivo pdf y asc.
DOI: 10.5281/zenodo.6659716
title: MUSLIMWOMENFILM DATASET

description: <strong>MUSLIMWOMENFILM</strong> is a Horizon2020-funded interdisciplinary project that identifies a new object of study, Muslim women’s auto/biographical filmmaking, and maps the factors that make it distinctive within women’s and feminist cinema. As part of the project, <strong>this dataset of 290 auto/biographical film titles made by Muslim women filmmakers from Pakistan, Iran, Afghanistan, Bangladesh, and Turkey from the 1980s to date</strong> was created. The date of 1980 is significant of the advent and broad availability of video technologies, which facilitated independent filmmaking, new topics, wider audiences and exhibition, and the global emergence of a greater number of women filmmakers. The data was drawn from scholarly studies, industrial reports, governmental and non-governmental bodies, film festivals, and filmmakers’ websites. The resulting dataset includes essential data for each film, and categorizes them under a number of headings, selected to highlight important features of the films and of their auto/biographical approach. The categorization is discussed in the related text file. <strong>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 837154.</strong>
DOI: 10.5281/zenodo.6659715
title: MUSLIMWOMENFILM DATASET

description: <strong>MUSLIMWOMENFILM</strong> is a Horizon2020-funded interdisciplinary project that identifies a new object of study, Muslim women’s auto/biographical filmmaking, and maps the factors that make it distinctive within women’s and feminist cinema. As part of the project, <strong>this dataset of 290 auto/biographical film titles made by Muslim women filmmakers from Pakistan, Iran, Afghanistan, Bangladesh, and Turkey from the 1980s to date</strong> was created. The date of 1980 is significant of the advent and broad availability of video technologies, which facilitated independent filmmaking, new topics, wider audiences and exhibition, and the global emergence of a greater number of women filmmakers. The data was drawn from scholarly studies, industrial reports, governmental and non-governmental bodies, film festivals, and filmmakers’ websites. The resulting dataset includes essential data for each film, and categorizes them under a number of headings, selected to highlight important features of the films and of their auto/biographical approach. The categorization is discussed in the related text file. <strong>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 837154.</strong>
DOI: 10.6084/m9.figshare.20097827
title: Regionalización de la precipitación a escala de todo el Perú

description: Este estudio identificó regiones homogéneas de lluvia, a escala de todo el Peru, inicialmente se realizó análisis detallados de control de calidad, así como la verificación de los supuestos inherentes al análisis regional de frecuencia (homogeneidad, independencia serial y tendencia). Posteriormente, el análisis de clúster se aplicó a las características del sitio para identificar regiones candidatas; estas regiones fueron verificadas con las pruebas de discordancia y heterogeneidad del Método L Momentos. Entre los resultados, se identificó 32 regiones homogéneas de lluvia (16: RHP, 1: RHT y 15: RHA) sobre la base de 254 estaciones con récords históricos entre 1964 – 2020 provenientes de la red de observación del SENAMHI.
DOI: 10.25934/pr00007922
title: Stan test download 6/18

description: Summary
DOI: 10.34740/kaggle/dsv/3824386
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.11663574.v11
title: COCI Scholix dataset of all the citation data

description: This dataset contains all the citation data (in Scholix format) included in COCI, released on 26 March 2022.<br>This version of the dataset contains:<br>1,294,283,603 citations;72,268,850 bibliographic resources.The size of the zipped archive is 34.28 GB, while the size of the unzipped Scholix file is 1.15 TB.<br>Additional information about COCI can be retrieved in the official webpage.<br>
DOI: 10.6084/m9.figshare.6741425.v14
title: COCI N-Triples dataset of all the citation data

description: This dataset contains all the citation data (in N-Triples format) included in COCI, released on 26 March 2022. In particular, any citation in the dataset, defined as an individual of the class <i>cito:Citation</i>, includes the following information:<b>[citation IRI]</b> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/coci/ci/[OCI]);<b>[property "cito:hasCitingEntity"]</b> the citing entity identified by its DOI URL (http://dx.doi.org/[DOI]);<b>[property "cito:hasCitedEntity"]</b> the cited entity identified by its DOI URL (http://dx.doi.org/[DOI]);<b>[property "cito:hasCitationCreationDate"]</b> the creation date of the citation (i.e. the publication date of the citing entity);<b>[property "cito:hasCitationTimeSpan"]</b> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);<b>[type "cito:JournalSelfCitation"]</b> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);<b>[type "cito:AuthorSelfCitation"]</b> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).This version of the dataset contains:<br>1,294,283,603 citations;72,268,850 bibliographic resources.The size of the zipped archive is 63.93 GB, while the size of the unzipped N-Triples file is 1.39 TB.<br>Additional information about COCI can be retrieved in the official webpage.<br>
DOI: 10.6084/m9.figshare.6741431.v14
title: COCI CSV dataset of the provenance information of all the citation data

description: This dataset contains the provenance information (in CSV format) of all the citation data included in COCI, released on 26 March 2022. In particular, each line of the CSV file defines a citation, and includes the following information:<b>[field "oci"]</b> the Open Citation Identifier (OCI) for the citation;<b>[field "agent"]</b> the name of the agent that have created the citation data;<b>[field "source"]</b> the URL of the source dataset from where the citation data have been extracted;<b>[field "datetime"]</b> the creation time of the citation data.The size of the zipped archive is 18.63 GB, while the size of the unzipped CSV file is 291.6 GB.<br>Additional information about COCI can be retrieved in the official webpage.
DOI: 10.6084/m9.figshare.6741446.v14
title: COCI N-Triples dataset of the provenance information of all the citation data

description: This dataset contains the provenance information (in N-Triples format) of all the citation data included in COCI, released on the 26 March 2022. In particular, any citation in the dataset includes the following provenance information:<b>[citation IRI]</b> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/coci/ci/[OCI]);;<b>[property "prov:wasAttributedTo"]</b> the IRI of the agent that have created the citation data;<b>[property "prov:hadPrimarySource"]</b> the IRI of the source dataset from where the citation data have been extracted;<b>[property "prov:generatedAtTime"]</b> the creation time of the citation data.The size of the zipped archive is 68.55 GB, while the size of the unzipped N-Triples file is 2.94 TB.<br>Additional information about COCI can be retrieved in the official webpage.
DOI: 10.25934/pr00007923
title: Stan Test Download 3 - 6/18

description: Summary
DOI: 10.5281/zenodo.6659503
title: Supplementary data Thesis Mandy Koopman

description: Supplementary data chapter 7,8 and 9.
DOI: 10.5281/zenodo.6659502
title: Supplementary data Thesis Mandy Koopman

description: Supplementary data chapter 7,8 and 9.
DOI: 10.48544/95b2caf2-649a-4deb-812b-51327d973ece
title: Public Health and Safety – Development of Computer Code (Teacher version)
DOI: 10.48544/e95bec64-3b74-4e8a-a419-8641f68c9cd3
title: Public Health and Safety – Development of Computer Code (Student version)
DOI: 10.25934/pr00007925
title: Stan Test 4 6/18

description: Summary
DOI: 10.25934/pr00007926
title: William Test 

description: testing this as test
DOI: 10.34740/kaggle/dsv/3823535
title: Intraretinal Cystoid Fluid
DOI: 10.6084/m9.figshare.20097914
title: Additional file 1 of Benzydamine hydrochloride for the treatment of sore throat and irritative/inflammatory conditions of the oropharynx: a cross-national survey among pharmacists and general practitioners

description: Additional file 1.
DOI: 10.6084/m9.figshare.20097914.v1
title: Additional file 1 of Benzydamine hydrochloride for the treatment of sore throat and irritative/inflammatory conditions of the oropharynx: a cross-national survey among pharmacists and general practitioners

description: Additional file 1.
DOI: 10.6084/m9.figshare.20097917
title: Additional file 1 of Comparative performance of hybrid generations reveals the potential application of F2 hybrids in upland cotton

description: Additional file 1. Level of heterosis altered with the trait, hybrid combination, and generation in Anyang and Aral.
DOI: 10.6084/m9.figshare.20097917.v1
title: Additional file 1 of Comparative performance of hybrid generations reveals the potential application of F2 hybrids in upland cotton

description: Additional file 1. Level of heterosis altered with the trait, hybrid combination, and generation in Anyang and Aral.
DOI: 10.6084/m9.figshare.20097920
title: Additional file 2 of Comparative performance of hybrid generations reveals the potential application of F2 hybrids in upland cotton

description: Additional file 2. Details of the top eight hybrid combinations in BPH, CH, and MPH for each trait in different generations and cotton belts.
DOI: 10.6084/m9.figshare.20097920.v1
title: Additional file 2 of Comparative performance of hybrid generations reveals the potential application of F2 hybrids in upland cotton

description: Additional file 2. Details of the top eight hybrid combinations in BPH, CH, and MPH for each trait in different generations and cotton belts.
DOI: 10.6084/m9.figshare.20097926
title: Additional file 2 of Dual function of SF3B2 on chromatin and RNA to regulate transcription in head and neck squamous cell carcinoma

description: Additional file 2: Lists of genes assigned to the RPS or STRESS gene ontology.
DOI: 10.6084/m9.figshare.20097926.v1
title: Additional file 2 of Dual function of SF3B2 on chromatin and RNA to regulate transcription in head and neck squamous cell carcinoma

description: Additional file 2: Lists of genes assigned to the RPS or STRESS gene ontology.
DOI: 10.6084/m9.figshare.20097908
title: anti-fraud video content analysis

description: The dataset about the content analysis of anti-fraud videos in China
DOI: 10.6084/m9.figshare.20097908.v1
title: anti-fraud video content analysis

description: The dataset about the content analysis of anti-fraud videos in China
DOI: 10.5281/zenodo.6584077
title: Data from calculated radial neutron flux distributions in a KBS-3 type geological repository

description: Data from calculations of radial distribution of neutron flux per emitted neutron from rods of spent nuclear fuel in a KBS-3 type geological repository. Reference (<em>Jansson, 2022</em>) contain a summary of the calculations and a description of the structure of this data. This data was computed on resources provided by Swedish National Infrastructure for Computing (SNIC) at Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX), National Supercomputer Centre at Linköping University (NSC) and the SNIC Cloud, partially funded by the Swedish Research Council through grant agreement no. 2018-05973, under projects SNIC 2021/5-299 and SNIC 2021/18-12.
description: {"references": ["Jansson, Peter; \"Summary of calculations of radial neutron flux distributions in a KBS-3 type geological repository for spent nuclear fuel\"; Report; DOI: https://doi.org/10.5281/zenodo.6640249; June 2022."]}
DOI: 10.5281/zenodo.6584076
title: Data from calculated radial neutron flux distributions in a KBS-3 type geological repository

description: Data from calculations of radial distribution of neutron flux per emitted neutron from rods of spent nuclear fuel in a KBS-3 type geological repository. Reference (<em>Jansson, 2022</em>) contain a summary of the calculations and a description of the structure of this data. This data was computed on resources provided by Swedish National Infrastructure for Computing (SNIC) at Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX), National Supercomputer Centre at Linköping University (NSC) and the SNIC Cloud, partially funded by the Swedish Research Council through grant agreement no. 2018-05973, under projects SNIC 2021/5-299 and SNIC 2021/18-12.
description: {"references": ["Jansson, Peter; \"Summary of calculations of radial neutron flux distributions in a KBS-3 type geological repository for spent nuclear fuel\"; Report; DOI: https://doi.org/10.5281/zenodo.6640249; June 2022."]}
DOI: 10.34740/kaggle/dsv/3825025
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.6659532
title: Dynamic FRET example videos related to "Mars, a molecule archive suite for reproducible analysis and reporting of single-molecule properties from bioimages"

description: Videos of dynamic switching between iso-I and iso-II conformations of a holiday junction at 50 mM Magnesium resulting in high and low FRET from Cy3 and Alexa647 labels positioned on the arms. Holiday junctions are surface immobilized through a biotin attachment and imaged using TIRF microscopy. The camera sensor is split using a dual view so that the acceptor emission is on the top and the donor emission is on the bottom. Videos from each position are provided as compressed zip files containing a sequence of tif files and associated metadata text file. Image sequences were collected using Micro-Manager 2.0 using ALEX or alternating laser excitation with alternating 637 and 532 pulses separated as two different channels. Beam profile images are provided for 637 and 532 excitation allowing for correction of the non-uniform beam profiles. The following 2D affine transformation matrix can be used to transform from the top acceptor emission region to the bottom donor emission region during processing. Affine 2D transformation from top to bottom: (m00, m01, m02, m10, m11, m12), (1.00276, 0.000208, 1.01236, 0.000267, 1.00312, 507.21025) A detailed image processing workflow for this dataset using Mars can be found under the example section at https://duderstadt-lab.github.io/mars-docs/ or directly at https://duderstadt-lab.github.io/mars-docs/examples/FRET_dynamic/
DOI: 10.5281/zenodo.6659959
title: Reproducibility data for tables in "A machine learning approach to portfolio pricing and risk management for high dimensional problems"

description: This dataset contains all the information necessary for reproducing the tables in the paper "A machine learning approach to portfolio pricing and risk management for high dimensional problems". The raw benchmark data can be found in the Zenodo dataset "Benchmark and training data for replicating financial and insurance examples" (https://zenodo.org/record/3837381). To the extend necessary, only summary data from that dataset is used in this dataset. The dataset includes a jupyter notebook file that explains what the different files contain, and provides sample code to analyze the information and reproduce the tables.