Contributors:Collin, J. Weber, Alexander Santowski, Peter Chifflard
Concertation of trace metals (Al, Fe) and heavy metals (V, Cr, Co, Ni, Cu, Sn, As, Cd, Pb) given in mg/kg soil dry weight and calculated pollution indices (Igeo: Geoaccumulation Index; PLI: Pollution load index; RI: Potential ecological risk index). For methods of analyses and index calculation see method chapter in above mentioned publication
Features of pavement joints in the inner-city of Marburg (Hesse, Germany) recorded during field work.
Distance_street: Distance (m) of each sampling point to next street.
Height: Heigth (m a.s.l.) taken from DEM.
Av_joint_size: Average joint size (cm) from 1 square meter pavement measured during field work.
Plant_coverage: Plant coverage classified from 0 to 5. For further description of classes see above mentioned publication.
Runoff:_accumulation: Runoff accumulation classified in three classes: 0 – 2.5 - 5. For further description of classes see above mentioned publication.
pH: pH (KCl) values of pavement joint soil material.
OM: Organic matter content (mass-%) of pavement joint soil material.
Contributors:Teresa López-Pellisa, Fernando Rodríguez-Gallego, Neus Rotger
This database provides the interviews done to the students at the end of the Teaching Innovation Project: "Writing an academic review in tele-collaborative settings" (PID 181960), carried out at the Universitat de les Illes Balears (UIB) with the collaboration of the Open University of Catalonia (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.
Contributors:Elena Zudilova-Seinstra, Alberto Zigoni 10711960, Wouter Haak
We conducted an analysis to confirm our observations that only a very small percentage of public research data is hosted in the Institutional Data Repositories, while the vast majority is published in the open domain-specific and generalist data repositories.
For this analysis, we selected 11 institutions, many of which have been our evaluation partners. For each institution, we counted the number of datasets published in their Institutional Data Repository (IDR) and tracked the number of public research datasets hosted in external data repositories via the Data Monitor API. External tracking was based on the corpus of 14+ mln data records checked against the institutional SciVal ID. One institution didn’t have an IDR.
We found out that 10 out of 11 institutions had most of their public research data hosted outside of their institution, where by research data we mean not only datasets, but a broader notion that includes, for example, software.
We will be happy to expand it by adding more institutions upon request.
Note: This is version 2 of the earlier published dataset. The number of datasets published and tracked in the Monash Institutional Data Repository has been updated based on the information provided by the Monash Library. The number of datasets in the NTU Institutional Data Repository now includes datasets only. Dataverses were excluded to avoid double counting.
The data were used in the paper entitled of "Analysis of Water Clarity Decrease in Xin’anjiang Reservoir, China, from 30-Year Landsat TM, ETM+, and OLI Observations". The uploaded dataset contains: (1) water clarity data and above-water remote sensing reflectance data which were collected in the Xin’anjiang Reservoir during 2013 to 2014. Specifically, the above-water remote sensing reflectance data were resampled to the remote sensing reflectance of different Landsat sensors (TM, ETM+ and OLI); (2) meteorological data in the Xin’anjiang Reservoir including air temperature and rainfall data were collected from 1960 to 2016; (3) socioeconomic data in the Xin’anjiang catchment including population, gross domestic product, chemical fertilizer usage and industrial sewage.
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"
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.
The data set contains Hadamard matrices of order 28 in machine-readable form, convenient for use in programs.
Data taken from the site
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.
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.