Initial release.

These R files contain the code carry out the identification of the interlinkages between SDG 6 and the 2030 Agenda. The method is explained in detail in the following paper: Requejo-Castro, D., Giné-Garriga, R., Pérez-Foguet, A., 2020. Data-driven Bayesian Network modelling to explore the relationships between SDG 6 and the 2030 Agenda. Sci. Total Environ. 710, 136014. https://doi.org/10.1016/j.scitotenv.2019.136014. As detailed in this paper, two models were generated: Model 1 (179 countries) and Model 2 (155...

Commits [f7d54f0]: updated docs examples (AyrtonB)

DIVAnd v2.7.1 Diff since v2.7.0

This repository contains all necessary code, data to reproduce the results demonstrated in Xiao et al. The figures and tables in Xiao et al. are also included.

These are the R codes from the book "Luminescence Data Analysis and Modeling Using R" by Vasilis Pagonis Use R! Series Springer Nature, 2021

Bay Optimization Tools for Analysis (BayOTA) is a framework for identifying low-cost implementation options for a distinct subset of Best Management Practices (BMPs)—a subset containing BMPs are represented by scalar load reduction effectiveness factors—in the Chesapeake Bay Program's most recent (Phase 6) watershed model, which is known as the Chesapeake Assessment Scenario Tool (CAST). This release (version 0.1b2.1 of BayOTA) is associated with the paper: Kaufman, D. E., Shenk, G. W., Bhatt, G., Asplen, K....

Initial version

This package contains a python tool allowing one to get a quick estimate of mass-loss rates from planets heated by stellar XUV based on hydrodynamic modeling. This is done by interpolation within the grid of upper atmosphere models being an extension of the one presented in Kubyshkina et al., 2018. The available planetary masses are in the range of 1-109 Earth masses, the radius range is 1-10 Earth radii, and the equilibrium temperatures are 300-2000...

This package contains a python tool allowing one to get a quick estimate of mass-loss rates from planets heated by stellar XUV based on hydrodynamic modeling. This is done by interpolation within the grid of upper atmosphere models being an extension of the one presented in Kubyshkina et al., 2018. The available planetary masses are in the range of 1-109 Earth masses, the radius range is 1-10 Earth radii, and the equilibrium temperatures are 300-2000...

Prot-T5-XL-BFD

The program is an HTML file that opens in any major browser (such as Firefox) that supports HTML5. When opened and every time the browser is refreshed, the program downloads Covid-19 data ("dpc-covid19-ita-regioni.csv") for Italy from the GitHub website, analyses it by two different methods, and displays the resulting graphs of the severity of the pandemic. The program gives a brief overview of the two methods and provides links to more detailed descriptions on the...

First release for zenodo archive.

Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems. Applications to testing methods can be found in Jiang, Z., Sharma, A., & Johnson, F. (2019) <doi:10.1016/j.advwatres.2019.103430> and Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962> associated with an open-source tool by Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>.

The Open Data Detector

v1.6.4 bactopia/bactopia "Trident +1" - 2021/03/27 Added added Python3.6+ to all environments

The code file implements the fast and integrative algorithm described in the paper below.
Kim, J. (2019). A fast and integrative algorithm for clustering performance evaluation in author name disambiguation. Scientometrics, 120(2), 661-681. doi:10.1007/s11192-019-03143-7

1. code_evaluate_clustering.pl: This code file processes data input, calculation of clustering performance, and output.

(1) Input data: Test clusters and truth clusters- Test clusters: a list of clusters predicted by a disambiguation method- Truth clusters: a list of clusters grouped by truth labels- Test...

This contains notebooks, scripts, data, and analysis files associated with a study on the effect of symbiosis on DNA methylation in the sea anemone Anthopleura elegantissima. The latest release includes the genome file.

Source code modifications for the model simulations in "Arctic sea ice response to flooding of the snow layer in future warming scenarios" by Andrew G. Pauling and Cecilia M. Bitz, submitted to Earth's Future in April 2021

To reference with DOI

GLMakie v0.2.4 Diff since v0.2.3 Merged pull requests: fix ranged pick_native (#173) (@ffreyer)

GitHub repository: Inferring Experimental Procedures from Text-Based Representations of Chemical Reactions.

Bugfix: Printing tables with a "Label" column failed with an Error (Thanks to Jan Brocher, Biovoxxel, for reporting!)

No description provided.

This R package contains various functions that simplify and expedite analyses of experimental data. Examples include a function that plots sample means of groups in a factorial experimental design, a function that conducts robust regressions with bootstrapped samples, and a function that conducts robust two-way analysis of variance. To use this package, please follow the steps below. 1. In R, install the package from CRAN by typing: install.packages("kim") 2. After the package is installed, attach...