cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12981845
title: output1.json

description: This is a JSON format file generated by a random number generator in python. The range is 0 to 1000, and numbers are float number.This data will be used by a python script for further transformation.
DOI: 10.5281/zenodo.800568
title: How Does Stics Crop Model Simulate Crop Growth And Productivity Under Shade Conditions ?

description: The STICS crop model has been used to predict the response of winter wheat to different shade conditions from an artificial shade treatment. Detailed information on the modeling procedure will be available in the following paper: “ How does STICS crop model simulate crop growth and productivity under shade conditions ” in Field Crops Research Journal. To launch a simulation with STICS, several input data files and parameters are required. The files used in this study are available below: The different inputs files required to launch a simulation: The complete plant parameters file “<em>Winter_wheat_adjusted_plt.txt</em>” The weather data used “<em>Weather_tot.txt</em>” The data are compiled at a daily time scale for each treatment: CS constant shade; PS periodic shade; NS no shade. In this data frame, “<em>Temp_min</em>” and “<em>Temp_max</em>” are the minimal and maximal air temperature in degree celcius; “<em>Global_radiation</em>” is the daily cumulated global radiation in MJ/m²; “Rainfall” is the daily cumulated rainfall in mm; “<em>Wind</em>” is the mean wind speed in m/s; and “<em>Relative_humidity</em>” is the mean air relative humidity in %. The initial soil parameters <em>“INI_2014-2015_ini.txt”</em> and <em>“INI_2015-2016_ini.txt”</em> respectively for the growing season 2014-15 and 2015-16 The general soil parameters for both growing season : <em>“Soil_sols.txt”</em> The technical itinerary<em> “TEC_2015_tec.txt” and “TEC_2016_tec.txt” </em>respectively for the growing season 2014-15 and 2015-16.
DOI: 10.5281/zenodo.800567
title: How Does Stics Crop Model Simulate Crop Growth And Productivity Under Shade Conditions ?

description: The STICS crop model has been used to predict the response of winter wheat to different shade conditions from an artificial shade treatment. Detailed information on the modeling procedure will be available in the following paper: “ How does STICS crop model simulate crop growth and productivity under shade conditions ” in Field Crops Research Journal. To launch a simulation with STICS, several input data files and parameters are required. The files used in this study are available below: The different inputs files required to launch a simulation: The complete plant parameters file “<em>Winter_wheat_adjusted_plt.txt</em>” The weather data used “<em>Weather_tot.txt</em>” The data are compiled at a daily time scale for each treatment: CS constant shade; PS periodic shade; NS no shade. In this data frame, “<em>Temp_min</em>” and “<em>Temp_max</em>” are the minimal and maximal air temperature in degree celcius; “<em>Global_radiation</em>” is the daily cumulated global radiation in MJ/m²; “Rainfall” is the daily cumulated rainfall in mm; “<em>Wind</em>” is the mean wind speed in m/s; and “<em>Relative_humidity</em>” is the mean air relative humidity in %. The initial soil parameters <em>“INI_2014-2015_ini.txt”</em> and <em>“INI_2015-2016_ini.txt”</em> respectively for the growing season 2014-15 and 2015-16 The general soil parameters for both growing season : <em>“Soil_sols.txt”</em> The technical itinerary<em> “TEC_2015_tec.txt” and “TEC_2016_tec.txt” </em>respectively for the growing season 2014-15 and 2015-16.
DOI: 10.5281/zenodo.1043941
title: Oms Project For The Hydrological Modelling Of The Posina River

description: The OMS project contains the simulations, jar files of the components, the inputs and the ouputs used in the thesis " A flexible approach to the estimation of water budgets and its connection to the travel time theory ", Bancheri (2017). The project can be run using the OMS console available within the project.
description: {"references": ["https://doi.org/10.5281/zenodo.858495"]}
DOI: 10.5281/zenodo.1043942
title: Oms Project For The Hydrological Modelling Of The Posina River

description: The OMS project contains the simulations, jar files of the components, the inputs and the ouputs used in the thesis " A flexible approach to the estimation of water budgets and its connection to the travel time theory ", Bancheri (2017). The project can be run using the OMS console available within the project.
description: {"references": ["https://doi.org/10.5281/zenodo.858495"]}
DOI: 10.5441/001/1.n1r7ds5r/1
title: Black-backed jackal, Etosha National Park, Namibia

description: Borchering RK, Bellan SE, Flynn JM, Pulliam JRC, McKinley SA (2017) Resource-driven encounters among consumers and implications for the spread of infectious disease. Journal of the Royal Society Interface 14(135):20170555. doi:10.1098/rsif.2017.0555
description: Animals share a variety of common resources, which can be a major driver of conspecific encounter rates. In this work, we implement a spatially explicit mathematical model for resource visitation behaviour in order to examine how changes in resource availability can influence the rate of encounters among consumers. Using simulations and asymptotic analysis, we demonstrate that, under a reasonable set of assumptions, the relationship between resource availability and consumer conspecific encounters is not monotonic. We characterize how the maximum encounter rate and associated critical resource density depend on system parameters like consumer density and the maximum distance from which consumers can detect and respond to resources. The assumptions underlying our theoretical model and analysis are motivated by observations of large aggregations of black-backed jackals at carcasses generated by seasonal outbreaks of anthrax among herbivores in Etosha National Park, Namibia. As non-obligate scavengers, black-backed jackals use carcasses as a supplemental food resource when they are available. While jackals do not appear to acquire disease from ingesting anthrax carcasses, changes in their movement patterns in response to changes in carcass abundance do alter jackals' conspecific encounter rate in ways that may affect the transmission dynamics of other diseases, such as rabies. Our theoretical results provide a method to quantify and analyse the hypothesis that the outbreak of a fatal disease among herbivores can potentially facilitate outbreaks of an entirely different disease among jackals. By analysing carcass visitation data, we find support for our model's prediction that the number of conspecific encounters at resource sites decreases with additional increases in resource availability. Whether or not this site-dependent effect translates to an overall decrease in encounters depends, unexpectedly, on the relationship between the maximum distance of detection and the resource density.
DOI: 10.5441/001/1.n1r7ds5r/2
title: Black-backed jackal, Etosha National Park, Namibia-reference-data

description: Borchering RK, Bellan SE, Flynn JM, Pulliam JRC, McKinley SA (2017) Resource-driven encounters among consumers and implications for the spread of infectious disease. Journal of the Royal Society Interface 14(135):20170555. doi:10.1098/rsif.2017.0555
description: Animals share a variety of common resources, which can be a major driver of conspecific encounter rates. In this work, we implement a spatially explicit mathematical model for resource visitation behaviour in order to examine how changes in resource availability can influence the rate of encounters among consumers. Using simulations and asymptotic analysis, we demonstrate that, under a reasonable set of assumptions, the relationship between resource availability and consumer conspecific encounters is not monotonic. We characterize how the maximum encounter rate and associated critical resource density depend on system parameters like consumer density and the maximum distance from which consumers can detect and respond to resources. The assumptions underlying our theoretical model and analysis are motivated by observations of large aggregations of black-backed jackals at carcasses generated by seasonal outbreaks of anthrax among herbivores in Etosha National Park, Namibia. As non-obligate scavengers, black-backed jackals use carcasses as a supplemental food resource when they are available. While jackals do not appear to acquire disease from ingesting anthrax carcasses, changes in their movement patterns in response to changes in carcass abundance do alter jackals' conspecific encounter rate in ways that may affect the transmission dynamics of other diseases, such as rabies. Our theoretical results provide a method to quantify and analyse the hypothesis that the outbreak of a fatal disease among herbivores can potentially facilitate outbreaks of an entirely different disease among jackals. By analysing carcass visitation data, we find support for our model's prediction that the number of conspecific encounters at resource sites decreases with additional increases in resource availability. Whether or not this site-dependent effect translates to an overall decrease in encounters depends, unexpectedly, on the relationship between the maximum distance of detection and the resource density.
DOI: 10.5441/001/1.n1r7ds5r
title: Data from: Resource-driven encounters among consumers and implications for the spread of infectious disease

description: Borchering RK, Bellan SE, Flynn JM, Pulliam JRC, McKinley SA (2017) Resource-driven encounters among consumers and implications for the spread of infectious disease. Journal of the Royal Society Interface 14(135):20170555. doi:10.1098/rsif.2017.0555
description: Animals share a variety of common resources, which can be a major driver of conspecific encounter rates. In this work, we implement a spatially explicit mathematical model for resource visitation behaviour in order to examine how changes in resource availability can influence the rate of encounters among consumers. Using simulations and asymptotic analysis, we demonstrate that, under a reasonable set of assumptions, the relationship between resource availability and consumer conspecific encounters is not monotonic. We characterize how the maximum encounter rate and associated critical resource density depend on system parameters like consumer density and the maximum distance from which consumers can detect and respond to resources. The assumptions underlying our theoretical model and analysis are motivated by observations of large aggregations of black-backed jackals at carcasses generated by seasonal outbreaks of anthrax among herbivores in Etosha National Park, Namibia. As non-obligate scavengers, black-backed jackals use carcasses as a supplemental food resource when they are available. While jackals do not appear to acquire disease from ingesting anthrax carcasses, changes in their movement patterns in response to changes in carcass abundance do alter jackals' conspecific encounter rate in ways that may affect the transmission dynamics of other diseases, such as rabies. Our theoretical results provide a method to quantify and analyse the hypothesis that the outbreak of a fatal disease among herbivores can potentially facilitate outbreaks of an entirely different disease among jackals. By analysing carcass visitation data, we find support for our model's prediction that the number of conspecific encounters at resource sites decreases with additional increases in resource availability. Whether or not this site-dependent effect translates to an overall decrease in encounters depends, unexpectedly, on the relationship between the maximum distance of detection and the resource density.
DOI: 10.5441/001/1.n1r7ds5r/3
title: carcassLocations

description: Borchering RK, Bellan SE, Flynn JM, Pulliam JRC, McKinley SA (2017) Resource-driven encounters among consumers and implications for the spread of infectious disease. Journal of the Royal Society Interface 14(135):20170555. doi:10.1098/rsif.2017.0555
description: Animals share a variety of common resources, which can be a major driver of conspecific encounter rates. In this work, we implement a spatially explicit mathematical model for resource visitation behaviour in order to examine how changes in resource availability can influence the rate of encounters among consumers. Using simulations and asymptotic analysis, we demonstrate that, under a reasonable set of assumptions, the relationship between resource availability and consumer conspecific encounters is not monotonic. We characterize how the maximum encounter rate and associated critical resource density depend on system parameters like consumer density and the maximum distance from which consumers can detect and respond to resources. The assumptions underlying our theoretical model and analysis are motivated by observations of large aggregations of black-backed jackals at carcasses generated by seasonal outbreaks of anthrax among herbivores in Etosha National Park, Namibia. As non-obligate scavengers, black-backed jackals use carcasses as a supplemental food resource when they are available. While jackals do not appear to acquire disease from ingesting anthrax carcasses, changes in their movement patterns in response to changes in carcass abundance do alter jackals' conspecific encounter rate in ways that may affect the transmission dynamics of other diseases, such as rabies. Our theoretical results provide a method to quantify and analyse the hypothesis that the outbreak of a fatal disease among herbivores can potentially facilitate outbreaks of an entirely different disease among jackals. By analysing carcass visitation data, we find support for our model's prediction that the number of conspecific encounters at resource sites decreases with additional increases in resource availability. Whether or not this site-dependent effect translates to an overall decrease in encounters depends, unexpectedly, on the relationship between the maximum distance of detection and the resource density.
DOI: 10.5441/001/1.7d8301h2/2
title: Site fidelity in cougars and coyotes, Utah_Idaho USA (data from Mahoney et al. 2016)-gps

description: Mahoney PJ, Young JK (2016) Uncovering behavioural states from animal activity and site fidelity patterns. Methods in Ecology and Evolution 8(2): 174–183. doi:10.1111/2041-210X.12658
description: (1) Space use by animals has important implications for individual fitness. However, resource requirements often vary throughout the course of a lifetime and are a reflection of the demands associated with daily tasks or specific life-history phases, from food acquisition to reproduction, and emphasize the need to classify resource selection relative to specific behavioural states. Site fidelity is often indicative of behaviours important for individual maintenance (e.g. foraging), species' life history (e.g. seasonal site selection), social communication (e.g. scent-marking) and species interactions (e.g. predation, competition). Thus, resolving site fidelity patterns associated with key behaviours is essential to accurately quantify behavioural-dependent resource needs and the fitness consequences of space use. (2) We propose a novel method for identifying site fidelity patterns in animal location data using a convex hull clustering program called R Animal Site Fidelity (rASF). We also provide a means of integrating activity as a measure of behavioural state. We demonstrate the utility of the approach in identifying cougar (Puma concolor) predation events, coyote (Canis latrans) den and rendezvous sites, and coyote territorial boundaries. (3) We parameterized rASF based on site fidelity characteristics that best characterized the clustering behaviour of interest and estimated behavioural state from either dual-axial accelerometer data or movement trajectory statistics. When behaviour was used in conjunction with cluster-specific metrics (duration, proportion of diurnal fixes and landscape composition), we could accurately predict prey species associated with cougar kills and differentiate pup-rearing from scent-marking sites in coyotes. (4) Site fidelity patterns and activities associated with animal revisitation will be key to identifying the behavioural motivations behind observed patterns of space use. Our approach provides an efficient, rigorous and repeatable means of identifying site fidelity patterns associated with specific behavioural states without the need for direct observations, which are often impossible to collect at large spatial scales and in dense habitat. As such, this framework has significant potential to inform theory in behavioural ecology while providing managers with better resolution on appropriate management targets associated with key aspects of a species' life history.
DOI: 10.5441/001/1.7d8301h2/3
title: Site fidelity in cougars and coyotes, Utah_Idaho USA (data from Mahoney et al. 2016)-reference-data

description: Mahoney PJ, Young JK (2016) Uncovering behavioural states from animal activity and site fidelity patterns. Methods in Ecology and Evolution 8(2): 174–183. doi:10.1111/2041-210X.12658
description: (1) Space use by animals has important implications for individual fitness. However, resource requirements often vary throughout the course of a lifetime and are a reflection of the demands associated with daily tasks or specific life-history phases, from food acquisition to reproduction, and emphasize the need to classify resource selection relative to specific behavioural states. Site fidelity is often indicative of behaviours important for individual maintenance (e.g. foraging), species' life history (e.g. seasonal site selection), social communication (e.g. scent-marking) and species interactions (e.g. predation, competition). Thus, resolving site fidelity patterns associated with key behaviours is essential to accurately quantify behavioural-dependent resource needs and the fitness consequences of space use. (2) We propose a novel method for identifying site fidelity patterns in animal location data using a convex hull clustering program called R Animal Site Fidelity (rASF). We also provide a means of integrating activity as a measure of behavioural state. We demonstrate the utility of the approach in identifying cougar (Puma concolor) predation events, coyote (Canis latrans) den and rendezvous sites, and coyote territorial boundaries. (3) We parameterized rASF based on site fidelity characteristics that best characterized the clustering behaviour of interest and estimated behavioural state from either dual-axial accelerometer data or movement trajectory statistics. When behaviour was used in conjunction with cluster-specific metrics (duration, proportion of diurnal fixes and landscape composition), we could accurately predict prey species associated with cougar kills and differentiate pup-rearing from scent-marking sites in coyotes. (4) Site fidelity patterns and activities associated with animal revisitation will be key to identifying the behavioural motivations behind observed patterns of space use. Our approach provides an efficient, rigorous and repeatable means of identifying site fidelity patterns associated with specific behavioural states without the need for direct observations, which are often impossible to collect at large spatial scales and in dense habitat. As such, this framework has significant potential to inform theory in behavioural ecology while providing managers with better resolution on appropriate management targets associated with key aspects of a species' life history.
DOI: 10.5441/001/1.7d8301h2
title: Data from: Uncovering behavioural states from animal activity and site fidelity patterns

description: Mahoney PJ, Young JK (2016) Uncovering behavioural states from animal activity and site fidelity patterns. Methods in Ecology and Evolution 8(2): 174–183. doi:10.1111/2041-210X.12658
description: (1) Space use by animals has important implications for individual fitness. However, resource requirements often vary throughout the course of a lifetime and are a reflection of the demands associated with daily tasks or specific life-history phases, from food acquisition to reproduction, and emphasize the need to classify resource selection relative to specific behavioural states. Site fidelity is often indicative of behaviours important for individual maintenance (e.g. foraging), species' life history (e.g. seasonal site selection), social communication (e.g. scent-marking) and species interactions (e.g. predation, competition). Thus, resolving site fidelity patterns associated with key behaviours is essential to accurately quantify behavioural-dependent resource needs and the fitness consequences of space use. (2) We propose a novel method for identifying site fidelity patterns in animal location data using a convex hull clustering program called R Animal Site Fidelity (rASF). We also provide a means of integrating activity as a measure of behavioural state. We demonstrate the utility of the approach in identifying cougar (Puma concolor) predation events, coyote (Canis latrans) den and rendezvous sites, and coyote territorial boundaries. (3) We parameterized rASF based on site fidelity characteristics that best characterized the clustering behaviour of interest and estimated behavioural state from either dual-axial accelerometer data or movement trajectory statistics. When behaviour was used in conjunction with cluster-specific metrics (duration, proportion of diurnal fixes and landscape composition), we could accurately predict prey species associated with cougar kills and differentiate pup-rearing from scent-marking sites in coyotes. (4) Site fidelity patterns and activities associated with animal revisitation will be key to identifying the behavioural motivations behind observed patterns of space use. Our approach provides an efficient, rigorous and repeatable means of identifying site fidelity patterns associated with specific behavioural states without the need for direct observations, which are often impossible to collect at large spatial scales and in dense habitat. As such, this framework has significant potential to inform theory in behavioural ecology while providing managers with better resolution on appropriate management targets associated with key aspects of a species' life history.