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opencc-by-4.0Dec 2021View details →

GRASS Input Data

This record contains the dataset that is used as input to GRASS v1.1.x. See <a href="https://github.com/palumbom/GRASS">https://github.com/palumbom/GRASS</a> for details and instructions.

CSPG GridPath Model Input and Output Data

This data repository holds input and output data for the paper Jin XY., Chowdhury, A.K., Cheng CT., and Galelli, S. “The unintended consequences of decarbonizing the China Southern Power Grid”. See Readme for more details.

Scripts, inputs and outputs of Module 4 ANOVA test regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project

All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder.  The attached folder contains the following: Module 4_Calculation of ANOVA test (the input, formulation, macros, and scripts of ANOVA test per each IP4MaaS demo site). The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here.

Scripts, inputs and outputs of Module 5 USI travellers, TSPs and Effectiveness regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project

All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder.  The attached folder contains the following: Module 5_Results and outputs of USI Travellers, USI TSPs, Effectiveness (Travellers & TSPs) and the average of Effectiveness of all functionalities individually across all 6 demo sites (inputs, calculation, formulation, scripts of USI travellers, TSPs and Effectiveness per each IP4MaaS demo site). The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here.

Scripts, inputs and outputs of Module 1 AHP analysis regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project

All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder.  The attached folder contains the following: Module 1_AHP and Pairwise comparison matrix calculation_IP4MaaS II (formulations and calculations of pairwise comparison matrix per each IP4MaaS demo site). The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here.

Scripts, inputs and outputs of Module 2 Regression analysis regarding Deliverable D6.3 "Performance and Impact assessment" in the IP4MaaS project

All the materials, inputs, models, and scripts that are used in the performance assessment toolbox (IP4MaaS project, Deliverable D6.3 Performance and Impact Assessment) are available in the attached folder.  The attached folder contains the following: Module 2_Regression analysis (inputs, scripts, and formulations of regression analysis per each IP4MaaS demo site). The scripts have been designed for easy adoption in other projects with similar end goals. While the scripts operate on the codified representation of the traveller profiles, functionalities, and service providers, there is no restriction on the type of codification used. The only factor that the scripts assume is the order of the variables introduced for codification. That is the traveller profile variable (wherever applicable), followed by the Functionality variable, followed by the Service Provider variable. As long as the order is maintained, the scripts self-analyze the number of variables representing the traveller profiles, functionalities, and service providers, and perform calculations (USI, Effectiveness) and analysis (Regression and BN), Hence, in a similar framework, the scripts may be used for performing data analysis on a large data set with no restriction on the number of functionalities, service providers or subsets of traveller profiles. Documented Scripts can be found in a downloadable ZIP file here.

Input data and modelling results of GXAJ, GIE and GXAJ-IE model

This dataset archived the underlying surface data and hydrometeorological data of the four typical watersheds in different hydrometeorological zones of China that used as input for GXAJ, GIE and GXAJ-IE model, and the simulation results produced by the three models.

opencc-by-4.0Feb 2023View details →

Model input files and output data for Pluto clathrate formation modeling

Geochemical and thermal modeling input files and data for "Timing and abundance of clathrate formation controls ocean evolution in outer solar system bodies"

AIMHub input data

Input data for AIMHub. In order to allow other researchers to reproduce and use work done with AIMHub one needs to make sure that all components necessary to perform a run can be shared. One of these components is the input data. As proprietary data usually does not allow its free distribution it should generally be avoided. The password for zip file can be obtained from us and please reach us out.

ChatGPT impacts in programming education: A short list of input questions and output answers from ChatGTP

Five questions (in red) were addressed to ChatGTP ver3.5 between the period July 24th – July 28th 2023, in order to identify the opinion of ChatGTP in the field of computer science programming and programmers training. It is chosen to pose questions related to the main applications, advantages, disadvantages, future implications, and ethical considerations.

Data for article Agricultural input shocks affect crop yields more in the high-yielding areas of the world

This repository contains the agricultural input data of 12 crops used in the article analysis. The agricultural inputs used are (unit in parentheses): <ul> <li>nitrogen (kg/ha)</li> <li>phosphorus (kg/ha)</li> <li>potassium (kg/ha)</li> <li>machinery (1000 metric horsepower cv)</li> <li>herbicides (original kg/ha, for analysis rescaled by dividing with 97.5th percentile)</li> <li>fungicides (original kg/ha, for analysis rescaled by dividing with 97.5th percentile)</li> <li>insecticides (original kg/ha, for analysis rescaled by dividing with 97.5th percentile)</li> <li>other pesticides (original kg/ha, for analysis rescaled by dividing with 97.5th percentile)</li> <li>soil organic carbon (t/ha)</li> <li>soil phosphorus (mg/kg(</li> <li>soil nitrogen (t/ha)</li> <li>non-mineral nitrogen (kg/ha)</li> <li>non-mineral phosphorus (kg/ha)</li> <li>irrigation (% of area under irrigation)</li> <li>agricultural workers (persons)</li> </ul> This repository also includes the analysis results of yields after agricultural input shocks. This data is in rasters named e.g. wheat_phosphorus_shock_75.tif, meaning that this file contains the yield data (t/ha) for wheat after a 75% shock in phosphorus input. Rasters are provided for the following: <ul> <li>yields after 25%, 50% or 75% nitrogen shock</li> <li>yields after 25%, 50% or 75% phosphorus shock</li> <li>yields after 25%, 50% or 75% potassium shock</li> <li>yields after 25%, 50% or 75% machinery shock</li> <li>yields after 25%, 50% or 75% pesticide shock</li> <li>yields after 25%, 50% or 75% shock in all fertilizers (fertilizer shock)</li> <li>yields after 25%, 50% or 75% shock in all inputs</li> </ul> In addition, the observed crop yield (t/ha) used to construct the model is provided. Other yield rasters are: <ul> <li>modelled baseline yield (t/ha), used to calculate the yield changes in shock scenarios</li> <li>modelled zero input yield (t/ha), calculated as a scenario with zero fertilizers, machinery and pesticide inputs</li> </ul> Please see the article for references on the datasets.

Input files for binding energy calculations in "Coupling finite and boundary element methods to solve the Poisson--Boltzmann equation for electrostatics in molecular solvation"

Input files (meshes, pqr, cavities) for binding energy calculations in the manuscript "Coupling finite and boundary element methods to solve the Poisson--Boltzmann equation for electrostatics in molecular solvation" (preprint at https://arxiv.org/abs/2305.11886). This data set of molecular structures was originally proposed by Harris, R.C., Boschtisch, A.H., and Fenley, M.O., JCTC 9 (8) (2013) (<a href="https://doi.org/10.1021/ct300765w">https://doi.org/10.1021/ct300765w</a>). Scripts to generate results are available in https://github.com/MichalBosy/FEM_BEM_coupling/.

opencc-by-4.0Oct 2023View details →

Model version, input data, results, and processing scripts for Speizer et al., "Rapid implementation of mitigation measures can facilitate decarbonization of the global steel sector in 1.5°C-consistent pathways"

Includes the files needed to run the scenarios, analyze the outputs, and produce the figures for Speizer et al., "Rapid implementation of mitigation measures can facilitate decarbonization of the global steel sector in 1.5°C-consistent pathways."

opencc-by-4.0Aug 2024View details →

Differential Short-Term Facilitation Of Synaptic Inputs And Spike Transmission At The Retinocollicular Synapse In Vivo

Neuropixels data for investigating short-term plasticity in the mouse retinocollicular pathway.  Paper (bioRxiv): <a href="https://www.biorxiv.org/content/10.1101/2024.01.17.576068v1">Differential Short-Term Facilitation Of Synaptic Inputs And Spike Transmission At The Retinocollicular Synapse In Vivo</a> Full data will be availale upon publication of the paper.