105,836 Works

patrickmelix/NMRLineshape: First Production Release

Patrick Melix
Tested this code for multiple systems. "Frozen" (aligned vectors) and "gaseous" (homogeneously distributed vectors) inputs result in the expected behavior.

patrickmelix/NMRLineshape: First Production Release

Patrick Melix
Tested this code for multiple systems. "Frozen" (aligned vectors) and "gaseous" (homogeneously distributed vectors) inputs result in the expected behavior.

Hyperspectral Regression Code Examples

Felix M. Riese & Sina Keller
Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".

Hyperspectral Regression Code Examples

Felix M. Riese & Sina Keller
Code examples for the book chapter "Supervised, Semi-Supervised and Unsupervised Learning for Hyperspectral Regression".

Software Artifact -- Privacy Preserving Substring Search Protocol with Polylogarithmic Communication Cost

Mainardi Nicholas
A multi-user privacy-preserving substring search protocol described in this paper (DOI: 10.1145/3359789.3359842}). This implementation allows to verify the experimental results showed in the corresponding paper. A Docker container is provided to ease the build of the application.

Software Artifact -- Privacy Preserving Substring Search Protocol with Polylogarithmic Communication Cost

Mainardi Nicholas
A multi-user privacy-preserving substring search protocol described in this paper (DOI: 10.1145/3359789.3359842}). This implementation allows to verify the experimental results showed in the corresponding paper. A Docker container is provided to ease the build of the application.

Duke-GCB/iMADS: integrative Modeling and Analysis of Differential Specificity

John Bradley, Dan Leehr & Gordanlab
iMADS 1.0.1 iMADS (integrative Modeling and Analysis of Differential Specificity) is a combined computational-experimental strategy to identify and study the differences in DNA-binding specificity between transcription factor (TF) family members, i.e. paralogous TFs. The iMADS web application and database offers easy access to predictions made using the two types of models implemented in our framework: quantitative TF-DNA binding specificity models for individual factors, trained on genomic-context protein-binding microarray (gcPBM) data using a core-stratified support vector...

Duke-GCB/iMADS: integrative Modeling and Analysis of Differential Specificity

John Bradley, Dan Leehr & Gordanlab
iMADS 1.0.1 iMADS (integrative Modeling and Analysis of Differential Specificity) is a combined computational-experimental strategy to identify and study the differences in DNA-binding specificity between transcription factor (TF) family members, i.e. paralogous TFs. The iMADS web application and database offers easy access to predictions made using the two types of models implemented in our framework: quantitative TF-DNA binding specificity models for individual factors, trained on genomic-context protein-binding microarray (gcPBM) data using a core-stratified support vector...

ORCHIDEE-GMv3.2

Jinfeng Chang
ORCHIDEE is a process-based ecosystem model developed for simulating carbon, water and energy fluxes in ecosystems, from site level to global scale. ORCHIDEE-GM is a version specifically developed to integrate the management of grassland. The equations describing management in ORCHIDEE are derived from PaSim? model. Accounting for the management practices such as mowing, livestock grazing and fertilizer application on a daily basis, ORCHIDEE-GM proves capable of simulating the dynamics of leaf area index, biomass, and...

SwissDataScienceCenter/renku-python: Version 0.6.0

Jiri Kuncar, Rok Roškar, Sam , Ralf Grubenmann, Mohammad Alisafaee, Andreas Bleuler, Johann-Michael Thiebaut, SP Mohanty, Lorenzo Cavazzi & LiliGasser
0.6.0 (2019-09-19) Bug Fixes adds _label and commit data to imported dataset files, single commit for imports (#651) (75ce369) always add commit to dataset if possible (#648) (7659bc8), closes #646 cleanup needed for integration tests on py35 (#653) (fdd7215) fixed serialization of datetime to iso format (#629) (693d59d) fixes broken integration test (#649) (04eba66) hide image, pull, runner, show, workon and deactivate commands (#672) (a3e9998) integration tests fixed (#685) (f0ea8f0) migration of old datasets (#639)...

SwissDataScienceCenter/renku-python: Version 0.6.0

Jiri Kuncar, Rok Roškar, Sam , Ralf Grubenmann, Mohammad Alisafaee, Andreas Bleuler, Johann-Michael Thiebaut, SP Mohanty, Lorenzo Cavazzi & LiliGasser
0.6.0 (2019-09-19) Bug Fixes adds _label and commit data to imported dataset files, single commit for imports (#651) (75ce369) always add commit to dataset if possible (#648) (7659bc8), closes #646 cleanup needed for integration tests on py35 (#653) (fdd7215) fixed serialization of datetime to iso format (#629) (693d59d) fixes broken integration test (#649) (04eba66) hide image, pull, runner, show, workon and deactivate commands (#672) (a3e9998) integration tests fixed (#685) (f0ea8f0) migration of old datasets (#639)...

Aeronautical Multipath Channel Model Software

Steingass Alexander & Lehner Andreas

Software from MEDOC: a Python wrapper to load MEDLINE into a local MySQL database.

Dynomant, Gorieu & Perrin
Allows user to download MEDLINE, a database for scientific text mining, information extraction, natural language processing, algorithm training and reference searches. MEDOC is a Python program designed to download data on an FTP and to load all extracted information into a local mySQL database. The indexed relational database permits user to build complex and rapid queries. All fields can also be searched for desired information.

Gcube Smart Executor Client

Luca Frosini
Smart Executor Service Client Library

Documentation
Documentation is available on-line in the gCube Wiki:
https://wiki.gcube-system.org/gcube/index.php/SmartExecutor

Installation
Installation documentation is available on-line in the gCube Wiki:
https://wiki.gcube-system.org/gcube/index.php/SmartExecutor

Support
Bugs and support requests can be reported in the gCube issue tracking tool:
https://support.d4science.org/projects/gcube/

Changes in this version:
Exposed unSchedule(executionIdentifier) API

Older versions of this component are also published in Zenodo, but with a different naming. They can be...

ABINIT

Amritanshu Palaria, Xufeng Wang, Benjamin Haley, Matteo Mannino & Gerhard Klimeck
Run the community code ABINIT for electronic structure calculations under density functional theory through a convenient graphical user interface

UCNB_Analyzer

Leah Broussard
The purpose of this software is to interpret and analyze data taken using the NI PXIe-5171R digitizer based data acquisition system for the UCNB and Nab experiments. The detection and data acquisition systems are identical for the 2 experiments, with some differences in analysis requirements. The software converts raw binary files produced by the NI DAQ into ROOT TTree format, performs waveform analysis using trapezoidal filter algorithms, pulse fitting, and noise analysis routines, and applies...

Demonstration application for the real-time interpolator for parametric curves

Wenbin Zhong
The authors have developed two applications for readers to test the Real-time Interpolator algorithms. Those algorithms are implemented in the RTInterpolator.exe Windows application. It can interpret the specified G-code and generate interpolated points, which can be sent to servo system to control axes motions. The IntDataVisu.m is a Matlab program, it is used to visualize the output file from RTInterpolator.exe. It helps readers to analyze the characteristics of the Real-time Interpolator with user-friendly figures. Full...

EAM potential (LAMMPS cubic hermite tabulation) for Al developed by Zope and Mishin (2003) v005

Yuri Mishin
EAM potential for Al developed by Zope and Mishin (2003) as part of a Ti-Al alloy potential (see source citation).

Unmixing Signal and Noise for Photon-Efficient Active Imaging

Joshua Rapp
We introduce a new approach to depth and reflectivity estimation that emphasizes the unmixing of contributions from signal and noise sources. At each pixel in an image, short-duration range gates are adaptively determined and applied to remove detections likely to be due to noise. For pixels with too few detections to perform this censoring accurately, data are combined from neighboring pixels to improve depth estimates, where the neighborhood formation is also adaptive to scene content.

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