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  • We have refactored the Breit–Pauli R-Matrix integral package within the RMatrxI package to employ a B-Spline basis to allow for level-resolved time-dependent R-Matrix calculations involving a laser pulse. The B-Spline approach independently verifies the accuracy of the current integral package pstg1r.f, but requires greater flexibility at the R-Matrix boundary when describing the continuum wavefunctions. This adaptation can be integrated with either the subsequent serial or parallel Breit–Pauli suite of codes.
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  • This dataset comprehends data and and associated R code used to run the analysis for the paper. We also include an R Markdown Dynamic document. We tested whether the amount of melanomacrophages and hepatic cellular catabolism substances are influenced by land use changes in the Brazilian Cerrado. Data contains the Environmental matrix (Q) composed of the land use classes for each samplimg site, species trait (R) matrix with content of each pigment in cells, averaged from all individuals, and species composition matrix (L) with the species incidence in all sampling sites.
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  • Financial statistics on exchange rates et foreign reserves
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  • Origin data for Distinct processing of lncRNAs contributes to non-conserved functions in stem cells. Detailed description of those data can be accessed in Guo et al.
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  • Many qualitative and quantitative metrics have been developed to analyze the output of limited-channel EEG recordings in neonates. A significant roadblock in the widespread dissemination of these techniques is the device-specific, “black-box” nature of the analytic algorithms, preventing comparison between studies and the obsolescence of old recordings as software is abandoned. We have developed NEAT (Neonatal EEG Analysis Toolbox) as an open-source software platform to overcome these challenges. NEAT runs within MATLAB and is designed to work with any single-channel EEG input, regardless of source or sampling rate. This package includes MATLAB source code and a sample recording file for testing purposes. System Requirements: MATLAB r2016a or later Signal Processing Toolbox Current Version Features (r1 - 06/21/2017) -Includes two command-line MATLAB functions to generate aEEG signal and calculate spectral edge frequency -Includes experimental GUI, allowing for linked navigation of raw/aEEG signals
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  • This dataset is the compilation of four different seasonally-relative extreme events for North America: extreme warm events (XWEs), extreme cold events (XCEs), extreme humid events (XHEs), and extreme dry events (XDEs). Each of these extreme events are calculated on a daily basis from 1979-2016 for 18,661 locations in North America. All extremes are relative to the time of year - essentially a seasonal curve of the 95th and 5th percentiles of the data at each location were created, and days that had 2-meter temperatures (or 2-meter dew points) that were >95th percentile were deemed XWEs (or XHEs for dew points), and days that were <5th percentile were considered XCEs (or XDEs for dew points). The article detailing the development of this dataset is: Lee, CC, Obarein O, Sheridan SC, Smith ET, Adams R. 2020. Examining trends in multiple parameters of seasonally-relative extreme temperature and dew point events across North America (Manuscript currently in peer review). Each dataset is organized as follows: The first two rows are column headers showing the latitude and longitude of the 18,661 land-based gridpoints (from the North American Regional Reanalysis dataset) in the study domain (23°N to 83°N, 46°W to 167°W). The first three columns are row headers showing date information (year, month, and day) for each day in the study period. The rest of the data are binaries (0 or 1) signifying whether each day is an extreme event day (1) or not an extreme event day (0) for each location. The four datasets (one for each type of extreme event) are in a single compressed (.zip) folder and each dataset/file is in comma separated value format (uncompressed size of each file is approximately 506MB). The research leading to the development of this dataset was supported by federal award number NA17OAR4310159, entitled “Developing extreme event climate change indicators related to human thermal comfort” from the National Oceanic and Atmospheric Administration’s Climate Program Office.
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  • This program, originally released with Sipkens et al. (2020a), is designed to invert tandem measurements of aerosol size distributions. This includes the inversion of particle mass analyzer-differential mobility analyzer (PMA-DMA) data to find the two-dimensional mass-mobility distribution. Earlier versions of this software are archived with Zenodo (cf. 10.5281/zenodo.3692122). This repository is hosted on GitHub at https://github.com/tsipkens/mat-2d-aerosol-inversion. This version corresponds to v2.1 of this code.
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  • Dataset used to reconstruct the phylogenetic relationships among spaghetti worms and their allies (Terebelliformia, Annelida). The datasets comprise transcriptomic matrices, a matrix of Sanger sequenced genes and a matrix of morphological characters.
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  • The data is for the paper titled DeepHelicon: accurate prediction of inter-helical residue contacts in transmembrane protein by residual neural networks. It contains four sub-folders as follows: 1. Fasta: protein sequences of TRAIN, PREVIOUS, TEST. 2. PDB: protein native structures of TRAIN, PREVIOUS, TEST. 3. Predictions: contact predictions of PREVIOUS and TEST, which are predicted by contact prediction methods mentioned in DeepHelicon paper. 4. 3D modelling: 3D models are generated by CONFOLD2 and guided by residue contacts predicted by DeepHelicon and DeepMetaPSICOV and guided by secondary structures predicted by SCRATCH1D.
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  • This data set is about the raw data on deformation of Xiuyan Jade (antigorite) at 1.1-1.5 GPa and 400-600 °C in a Griggs-type apparatus.
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