20484001 results
Contributors: Wolfram Hinzen, Celia Mareca, Jesús Ruiz-Idiago, Joana Rossello, Aina Garí, Antonia Tovar, Edith Pomarol-Clotet
Date: 2020-02-12
... Anonymised data test for all linguistic and neuropsychological variables used in the analysis of the above paper.
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Contributors: Mojgan Taheri Tafti
Date: 2020-02-12
... This file includes data collected through a questionnaire technique in the city of Sarpol Zahab in 2019, two years after a massive earthquake. The questionnaire was distributed among those landlords who finished the reconstruction/repair of their buildings. Data on 142 rental units was collected and analysed, using the R software. For answering the question of which factors led the landlord to evict a renter, a logistic regression model was adopted. As dependent variables, 0 represented rental units where renters stayed and 1 where they had to leave. explanatory variables included: landlord's investment; number of rental units she/he owned; pre-earthquake rent; pre-earthquake renter's relationship with landlord; post-earthquake renter's social relationship with landlord; the level of damage to the unit; and neighbourhood housing price. For addressing the question of what factors affected the decision of landlords about the rental price, multivariate regression model was used. explanatory variables included pre-earthquake rent; investment of the landlord; number of rental unit he/she owned; pre-earthquake ad post-earthquake renter's relationship with the landlord; the rental unit's level of damage.
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Contributors: Sakinat Folorunso, FEMI AYO, OLAWALE ADEBOYE, Abass Taiwo, Oluwatobi Banjo, Adeoye Owodeyi
Date: 2020-02-12
... undefined
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Contributors: Manish Mamtani, Sandeep Bhatt, Virendra Rana, sivaji lahiri
Date: 2020-02-12
... Four Supplementary data files have been uploaded and are referred to in the text. Detailed captions have been included in each individual supplementary data pdf. Brief description of the content of each supplementary data file is provided below: Supplementary data-1 is a table giving coefficient of determination for different statistical distributions of vein thickness for different transects. Supplementary data-2: Thickness vs. corrected cumulative number of veins per unit length graphs for each transect in the mineralized and non-mineralized zones of the Gadag region (Southern India). Supplementary data-3: Thickness vs. probability density function of vein distribution for each transect in mineralized and non-mineralized zone. Supplementary data-4: Lower hemisphere equal area projections of poles to vein orientations for each outcrop in the mineralized and non-mineralized zone of the study area.
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Contributors: Gholam Reza Dehshiri
Date: 2020-02-12
... raw spss data
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Contributors: Helen Kelly
Date: 2020-02-12
... This dataset contains data evaluating the association of antiretroviral therapy, HIV plasma viral load and contemporary and nadir CD4+ T-cell count (exposures) and the following outcomes: outcomes: anal HR-HPV prevalence, incidence and persistence; cytology- or histology-confirmed anal squamous intraepithelial lesions [SIL]/anal intraepithelial neoplasia [AIN] prevalence, incidence, progression or regression, and anal cancer incidence among people living with HIV (PLHIV). It includes raw data for outcomes and exposure, and the crude effect estimate, and the adjusted effect estimate provided in the published material, in additional to information on the any adjustment for confounding, where available.
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Contributors: Beatrice Gordon, Ginger Paige, Scott Miller, Niels Claes, Andrew Parsekian
Date: 2020-02-12
... Attached are data that were used to calculate return flow for this study. We do not include geophysical data as it is too large and is still a niche field where few people are likely excited to work with those data. We will revisit publication of geophysical data if it turns out there is interest in using those data.
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Contributors: Sugui Tian, Ying Jing, Haofang Sun
Date: 2020-02-12
... undefined
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Contributors: Nayana Jayasundara, Palitha Arampath
Date: 2020-02-12
... 1. Raw data of hydro-distilled ginger essential oil (GEO) weight yeilds 2. Raw data of GLC chemical intensities of chemical compounds in GEO 3. Gas chromatography profiles/ Typical ginger chromatography profile 4. Statistical analysis files 5. Statistical analysis main out puts 6. Clavenger light oil arm illustration
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Contributors: Anatoliy Orzhekhovskiy, Serafim Fomenko, Iurii Priadko, Anton Tanasoglo
Date: 2020-02-12
... MATLAB code as an application to the method for the selecting cross-section of steel rod elements of the roof structure placed above the stands of stadiums. Particular attention is paid to ensuring a given level of structural reliability. This code includes calculations to realize described above method.
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