7,819 Works

Virtual Colony Count Macro and E. coli HNP1 Inoculum Effect Dataset 012020

Bryan Ericksen
Excel file containing macro used to calculate Virtual Colony Count threshold times. Also contains complex spreadsheets used to calculate virtual survival and virtual lethal doses. Also contains E. coli inoculum effect HNP1 dataset published in 2020 in the journal WikiJSci

Virtual Colony Count Macro and E. coli HNP1 Inoculum Effect Dataset 012020

Bryan Ericksen
Excel file containing macro used to calculate Virtual Colony Count threshold times. Also contains complex spreadsheets used to calculate virtual survival and virtual lethal doses. Also contains E. coli inoculum effect HNP1 dataset published in 2020 in the journal WikiJSci

Data and Codes for IJGIS-2019-0308

Ziqi Li
This repository contains data and codes for IJGIS-2019-0308.

Data and Codes for IJGIS-2019-0308

Ziqi Li
This repository contains data and codes for IJGIS-2019-0308.

moafs

Matheus Bernardelli De Moraes & André Gradvohl
MOAFS: A Massive Online Analysis library for feature selection in data streams

moafs

Matheus Bernardelli De Moraes & André Gradvohl
MOAFS: A Massive Online Analysis library for feature selection in data streams

Code from: Directed Species Loss Reduces Community Productivity in a Subtropical Forest Biodiversity Experiment.

Yuxin Chen, Yuanyuan Huang, Pascal A. Niklaus, Nadia Castro-Izaguirre, Adam Thomas Clark, Helge Bruelheide, Keping Ma & Bernhard Schmid
1. JAGS_code_1.r: JAGS code for assessing the effects of species loss on productivity, corresponding to the equations 1-3 in the maintext. 2. JAGS_code_2.r: JAGS code for assessing the temporal trends of net extinction effect or its additive components, corresponding to the equation 8 in the maintext. 3. JAGS_code_3.r: JAGS code for comparing effects of species loss among different extinction steps and at different ages, corresponding to the equation 9 in the maintext.4. Stan_code_1.txt: Stan code...

Code from: Directed Species Loss Reduces Community Productivity in a Subtropical Forest-Biodiversity Experiment.

Yuxin Chen, Yuanyuan Huang, Pascal A. Niklaus, Nadia Castro-Izaguirre, Adam Thomas Clark, Helge Bruelheide, Keping Ma & Bernhard Schmid
1. JAGS_code_1.r: JAGS code for assessing the effects of species loss on productivity, corresponding to the equations 1-3 in the maintext. 2. JAGS_code_2.r: JAGS code for assessing the temporal trends of net extinction effect or its additive components, corresponding to the equation 8 in the maintext. 3. JAGS_code_3.r: JAGS code for comparing effects of species loss among different extinction steps and at different ages, corresponding to the equation 9 in the maintext.4. Stan_code_1.txt: Stan code...

Code from: Directed Species Loss Reduces Community Productivity in a Subtropical Forest Biodiversity Experiment.

Yuxin Chen, Yuanyuan Huang, Pascal A. Niklaus, Nadia Castro-Izaguirre, Adam Thomas Clark, Helge Bruelheide, Keping Ma & Bernhard Schmid
1. JAGS_code_1.r: JAGS code for assessing the effects of species loss on productivity, corresponding to the equations 1-3 in the maintext. 2. JAGS_code_2.r: JAGS code for assessing the temporal trends of net extinction effect or its additive components, corresponding to the equation 8 in the maintext. 3. JAGS_code_3.r: JAGS code for comparing effects of species loss among different extinction steps and at different ages, corresponding to the equation 9 in the maintext.4. Stan_code_1.txt: Stan code...

fsc26_inputs

Guannan Wen & Jinzhong Fu
This folder contains the input files to run FastSimCoal26 analyses, including the joint minor allele frequency spectrum (.obs file) and .tpl and .est in subfolders files for each model that we fit in FSC26. For each analysis, the filename of the .obs file will have to be changed to match the .tpl file before running FSC26. 'ensw_maxL.par' is file with model specification and maximum likelihood parameters of the model with highest likelihood among Model 13-15,...

fsc26_inputs

Guannan Wen & Jinzhong Fu
This folder contains the input files to run FastSimCoal26 analyses, including the joint minor allele frequency spectrum (.obs file) and .tpl and .est in subfolders files for each model that we fit in FSC26. For each analysis, the filename of the .obs file will have to be changed to match the .tpl file before running FSC26. 'ensw_maxL.par' is file with model specification and maximum likelihood parameters of the model with highest likelihood among Model 13-15,...

README.md

William McKinnon, Derek Richardson & Julian Marohnic
Instructions for running pkdgrav simulations of Arrokoth collisions

Underactuated fluidic control of a continuous multistable membrane - Mathematica Code

Ofek Peretz
Underactuated fluidic control of a continuous multistable membrane - Mathematica code used in figure 6.

Underactuated fluidic control of a continuous multistable membrane - Mathematica Code

Ofek Peretz
Underactuated fluidic control of a continuous multistable membrane - Mathematica code used in figure 6.

Alpha and SCN analysis scripts

Michael Tackenberg
Analysis scripts for automatically measuring Alpha from activity data and measuring phase distribution across SCN slice recordings.

Alpha and SCN analysis scripts

Michael Tackenberg
Analysis scripts for automatically measuring Alpha from activity data and measuring phase distribution across SCN slice recordings.

upstream_downstream_shortests_path_dijkstra_v1_191105.py

Nicolas Cadieux
Vector based shortest path analysis in GIS is well established for road networks. Even though these network algorithms can be applied to river layers, they do not generally consider the direction of flow.
This is a Python 3.7 program developed specifically for river networks. It implements an “all-pairs” weighted Dijkstra shortest path algorithm to return the route geometry, the total distance between each source and target node and the total upstream and downstream distances for...

upstream_downstream_shortests_path_dijkstra_v1_191105.py

Nicolas Cadieux
Vector based shortest path analysis in GIS is well established for road networks. Even though these network algorithms can be applied to river layers, they do not generally consider the direction of flow.
This is a Python 3.7 program developed specifically for river networks. It implements an “all-pairs” weighted Dijkstra shortest path algorithm to return the route geometry, the total distance between each source and target node and the total upstream and downstream distances for...

upstream_downstream_shortests_path_dijkstra_v1_191105.py

Nicolas Cadieux
Vector based shortest path analysis in GIS is well established for road networks. Even though these network algorithms can be applied to river layers, they do not generally consider the direction of flow.
This is a Python 3.7 program developed specifically for river networks. It implements an “all-pairs” weighted Dijkstra shortest path algorithm to return the route geometry, the total distance between each source and target node and the total upstream and downstream distances for...

Code from: Directed Species Loss reduces Community Productivity in a Subtropical Forest-Biodiversity Experiment.

Yuxin Chen, Yuanyuan Huang, Pascal A. Niklaus, Nadia Castro-Izaguirre, Adam Thomas Clark, Helge Bruelheide, Keping Ma & Bernhard Schmid
1. JAGS_code_1.r: JAGS code for assessing the effects of species loss on productivity, corresponding to the equations 1-3 in the maintext. 2. JAGS_code_2.r: JAGS code for assessing the temporal trends of net extinction effect or its additive components, corresponding to the equation 8 in the maintext. 3. JAGS_code_3.r: JAGS code for comparing effects of species loss among different extinction steps and at different ages, corresponding to the equation 9 in the maintext.4. Stan_code_1.txt: Stan code...

RANSKPA_R_Shiny

Biodama Cne
RANKSPA R_Shiny app

RANKSPA R-shiny code

Biodama Cne
RANKSPA R_Shiny code

Greenland surface meltwater routing models

Kang Yang
Python codes for three surface meltwater routing models, (1) synthetic unit hydrograph, (2) surface routing and lake filling, and (3) rescaled width function.

Greenland surface meltwater routing models

Kang Yang
Python codes for three surface meltwater routing models, (1) synthetic unit hydrograph, (2) surface routing and lake filling, and (3) rescaled width function.

RANKSPA R-shiny code

Biodama Cne
RANKSPA R_Shiny code

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