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  • Supporting data (P. obliquiloculata ISNW data calculated from P. obliquiloculata SNW and SNWN. dutertrei-based deep-water Δ[CO32‒] at site WP7) for "Calcification of planktonic foraminifer Pulleniatina obliquiloculata controlled by seawater temperature rather than ocean acidification"
    Data Types:
    • Tabular Data
    • Dataset
  • In order to evaluate negative citations in articles and comments on PubPeer as mechanisms for correcting science, we have built up a corpus of articles associated with retraction or correction notices. As we are interested in citations, we focus here on articles with at least 1 citation according to Scite database, that is 45,811 articles.
    Data Types:
    • Tabular Data
    • Dataset
  • Mass Spectrometry Imaging datasets used as validation of the functionality of rMSIcleanup (https://github.com/gbaquer/rMSIcleanup). Acquired with silver-assisted LDI using MALDI TOF/TOF ultrafleXtreme. Referred to as Dataset 1-10 in the accompanying publication (https://doi.org/10.1101/2019.12.20.884957). Datasets 1 and 2: Mouse Pancreatic Tissue. Dataset 3: Mouse Kidney Tissue. Datasets 4-10: Mouse Brain Tissue.
    Data Types:
    • Dataset
    • Text
    • File Set
  • The data set contains Hadamard matrices of order 28 in machine-readable form, convenient for use in programs. Data taken from the site http://www.maths.gla.ac.uk/~es/hadamard/hadamard.php This data set complements following ones Ukhalov, Alexey; Nevskii, Mikhail (2018), “Functions for checking necessary conditions for maximality of 0/1-determinant and example”, Mendeley Data, v1 http://dx.doi.org/10.17632/sm3x4xrb42.1 Ukhalov, Alexey (2019), “Matrices having the largest known determinant in machine-readable form”, Mendeley Data, v1 http://dx.doi.org/10.17632/hzf94h43c5.1 Data is presented in three formats: Wolfram Mathematica Notebook, PDF, and Plain Text.
    Data Types:
    • Software/Code
    • Dataset
    • Document
    • Text
  • Demographic data used as an input of the modified leslie model was obtained from a city in JangSu province, China. Demographic data consist of three parts, annual fertility rate of different age groups, annual mortality rate of different age groups and the basic population of different age groups.
    Data Types:
    • Tabular Data
    • Dataset
  • Data for sands in the Yangtze estuary, more information have been specified in the excel.
    Data Types:
    • Tabular Data
    • Dataset
  • Data accompanying "When did the Lhasa and Qiantang Terranes “divorce”: Constraints from Middle-Late Triassic Alkaline Trachytic Lavas" by Yang Song, Haifeng Li, Carl Guilmette, Ming Zheng, Douwe J.J. van Hinsbergen, Zhenyu Li, Faqiao Li. Geochemistry, Geophysics, Geosystems, 2020
    Data Types:
    • Dataset
    • Document
  • This database provides the evaluation rubric used in the Teaching Innovation Project: "Writing an academic review in a blended learning environment" (PID 181960), carried out at the Universitat de les Illes Balears (UIB) with the collaboration of the Universitat Oberta de Catalunya (UOC) during the academic year 2018-2019. We have used some of the information obtained from these interviews in the article: "Collaborative Writing at Work: Peer Feedback in a Blended Learning Environment" Article Summary: This exploratory study aims to analyse the nature of peer feedback during a collaborative writing assignment, and to identify the possible effects feedback has on the revision of a text written by university students in a blended learning environment. Under analysis are two different graduate’s courses in academic writing, during which, over a period of a whole semester, the students (n = 85) were divided into 25 work groups to carry out a co-evaluation assignment with the support of a technology platform. The results obtained indicate that, when collaborative writing includes peer feedback, instead of unidirectional corrections from the teacher, the students respond more reflectively and constructively, they discuss the content they are working with, and, as a result, they effect significant changes in their own writing.
    Data Types:
    • Dataset
    • Document
  • Supplemental Figure I. Search terms. Supplemental Figure II. Literature search and selection strategy . Supplemental Figure III. Full reference list.
    Data Types:
    • Dataset
    • Document
  • This data and code are associated with the article "3D Scanner Technology Implementation to Numerical Modeling of GPR" by the same authors. The 3D scanner data and Matlab code used in the article are provided with other necessary files. The Readme file comprises detailed descriptions of the data files and formats. Please see the publication for more information about this data set.
    Data Types:
    • Other
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
    • Text
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