129169 results
Contributors: Katharina Pfaff
Date: 2019-09-25
... Variables are available from several different sources. A detailed description of the variables included in the analysis and their sources is provided in the paper.
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Contributors: Karen Wright
Date: 2019-09-25
... These data are the alignment for molecular data and the resultant Bayesian and Maximum Likelihood trees for the genus Melissodes.
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Contributors: Eefje S. Poppelaars, Johannes Klackl, Belinda Pletzer, Frank H. Wilhelm, Eva Jonas
Date: 2019-09-25
... A dataset of 37 men and 30 women (tested in the luteal phase of their menstrual cycle) participated in a public speaking task to induce social-evaluative threat. Responses of multiple stress systems were measured (trait appraisal, sympathetic and parasympathetic nervous system activity, self-reported motivation and affect, and hypothalamic–pituitary–adrenal axis activity), as well as personality traits (e.g. neuroticism and extraversion).
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Contributors: Samah Alzanin, Aqil Azmi
Date: 2019-09-25
... The dataset contains 4 tables of Arabic rumor and non-rumor tweets related to a specific topic with some of the features to each tweet, and one table of features extracted on the level of the topic from only news tweets that classified using a proposed system. In addition, a set of source code files that were built to extract tweet and topic features.
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Contributors: Phil Symonds
Date: 2019-09-25
... These data were used to quantify the impacts of air pollution policies on population health and health inequalities within a microsimulation model, MicroEnv [1]. They provide a basis for comparing results from similar models and allow researchers to integrate additional model components. [1] P. Symonds, E. Hutchinson, A. Ibbetson, J. Taylor, J. Milner, Z. Chalabi, M. Davies, P. Wilkinson, MicroEnv: A microsimulation model for quantifying the impacts of environmental policies on population health and health inequalities, Science of The Total Environment, Volume 697, (2019) 134105, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2019.134105.
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Contributors: Robert Holmes, Walter Scott Persons , Baltej Singh Rupal, Ahmed Jawad Qureshi, Philip Currie
Date: 2019-09-25
... Article Title: Morphological variation and asymmetrical development in the skull of Styracosaurus albertensis Authors: Robert Holmes (1), Walter Persons (1), Baltej Singh Rupal (2), Ahmed Jawad Qureshi (2), Philip Currie (1) Affiliation: (1) Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6E 2E3 Canada (2) Department of Mechanical Engineering, University of Alberta, T6G 1H9, Canada Corresponding Author: Dr. Robert Holmes (holmes1@ualberta.ca) Journal: Cretaceous Research (Elsevier) Abstract: The ceratopsid Styracosaurus albertensis is an important component of the herbivorous dinosaur fauna preserved in the Campanian-aged Dinosaur Park Formation in Alberta, Canada. A new skull exhibits previously unobserved variability and asymmetry in this species. As in the type, the right lateral parietal bar bears seven epiossifications, but the left parietal bar has eight. Epiossifications p3‒p6 are asymmetrical with respect to size, orientation, and position relative to the midline. A re-evaluation of variation in Styracosaurus that includes this skull expands the morphological range of the taxon to incorporate Rubeosaurus ovatus, requiring the synonymy of the latter with the former. Unlike the type, both p1 and p2 epiossifications are large. Epiossification p1 is procurved, and p2 is medially curved. These features converge on the morphology considered diagnostic for Centrosaurus. This observation, in combination with their sequential stratigraphic relationship and geographic overlap might suggest that Centrosaurus and Styracosaurus form an anagenic series, but the stratigraphic placement of skulls exhibiting putative ‘transitional’ morphologies does not support this hypothesis. Keywords: centrosaurine; Ceratopsidae; anatomical asymmetry; anagenesis; Cretaceous; Alberta Taxonomy: Paleontology, Vertebrate Paleontology Research data files: 1. 3D PDF of the scan 2. STL file of the scan 3. Still of the right lateral from 3D scan 4. Still of the left lateral from 3D scan 5. Still of the dorsal view from 3D scan 6. Still of the bottom view from 3D scan Notes for research data: 1. For 3D PDF: Download the file and kindly use the latest version of Adobe Acrobat Reader to open the 3D PDF file. Click inside the box to activate the 3D content. Once the 3D content is activated, press and hold the left mouse button to change orientation as required and the scroll bar to zoom-in/zoom-out. Also, the Geomagics menu on the top can be used for more advanced maneuvering. 2. For STL: Download the .STL file and use any mesh viewer such as Meshlab to open and use the STL file. 3. The details of the scanning procedure and equipment are given in section 2 of the research article.
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Contributors: Hyunkuk Cho
Date: 2019-09-25
... Data used for "Maternal selection: Evidence from baseball home team’s winning championship"
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Contributors: Ondřej Krčál, Stefanie Peer, Rostislav Staněk, Bára Karlíková
Date: 2019-09-25
... This is the dataset related to the paper "Real consequences matter: why hypothetical biases in the valuation of time persist even in controlled lab experiments" submitted to the Economics of Transportation.
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Contributors: Michele Belot, Jeroen van de Ven
Date: 2019-09-25
... The two data sets relate to each of the experiment reported in the paper. The chats collapsed data set relate to the second experiment. The do file can be used to replicate the tables in the paper.
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Contributors: zhou zhimin
Date: 2019-09-25
... code and dataset of The Spatiotemporal Dynamics and Socioeconomic Factors of SO2 Emissions in China: A Dynamic Spatial Econometric Design
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