cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5441/001/1.25551gr6/1
title: Tree Swallow North America (data from Knight et al. 2018).csv

description: Knight SM, Bradley DW, Clark RG, Gow EA, Bélisle M, Berzins LL, Blake T, Bridge ES, Burke L, Dawson RD, Dunn PO, Garant D, Holroyd GL, Hussell DJT, Lansdorp O, Laughlin AJ, Leonard ML, Pelletier F, Shutler D, Siefferman L, Taylor CM, Trefry HE, Vleck CM, Vleck D, Winkler DW, Whittingham LA, Norris DR (2018) Constructing and evaluating a continent-wide migratory songbird network across the annual cycle. Ecological Monographs. doi:10.1002/ecm.1298
description: Determining how migratory animals are spatially connected between breeding and non-breeding periods is essential for predicting the effects of environmental change and for developing optimal conservation strategies. Yet, despite recent advances in tracking technology, we lack comprehensive information on the spatial structure of migratory networks across a species’ range, particularly for small-bodied, long-distance migratory animals. We constructed a migratory network for a songbird and used network-based metrics to characterize the spatial structure and prioritize regions for conservation. The network was constructed using year-round movements derived from 133 archival light-level geolocators attached to Tree Swallows (Tachycineta bicolor) originating from 12 breeding sites across their North American breeding range. From these breeding sites, we identified 10 autumn stopover nodes (regions) in North America, 13 non-breeding nodes located around the Gulf of Mexico, Mexico, Florida, and the Caribbean, and 136 unique edges (migratory routes) connecting nodes. We found strong migratory connectivity between breeding and autumn stopover sites and moderate migratory connectivity between the breeding and non-breeding sites. We identified three distinct ‘communities’ of nodes that corresponded to western, central, and eastern North American flyways. Several regions were important for maintaining network connectivity, with South Florida and Louisiana as the top ranked non-breeding nodes and the Midwest as the top ranked stopover node. We show that migratory songbird networks can have both a high degree of mixing between seasons yet still show regionally distinct migratory flyways. Such information will be crucial for accurately predicting factors that limit and regulate migratory songbirds throughout the annual cycle. Our study highlights how network-based metrics can be valuable for identifying overall network structure and prioritizing specific regions within a network for conserving a wide variety of migratory animals.
DOI: 10.5441/001/1.25551gr6/2
title: Tree Swallow North America (data from Knight et al. 2018)-reference-data

description: Knight SM, Bradley DW, Clark RG, Gow EA, Bélisle M, Berzins LL, Blake T, Bridge ES, Burke L, Dawson RD, Dunn PO, Garant D, Holroyd GL, Hussell DJT, Lansdorp O, Laughlin AJ, Leonard ML, Pelletier F, Shutler D, Siefferman L, Taylor CM, Trefry HE, Vleck CM, Vleck D, Winkler DW, Whittingham LA, Norris DR (2018) Constructing and evaluating a continent-wide migratory songbird network across the annual cycle. Ecological Monographs. doi:10.1002/ecm.1298
description: Determining how migratory animals are spatially connected between breeding and non-breeding periods is essential for predicting the effects of environmental change and for developing optimal conservation strategies. Yet, despite recent advances in tracking technology, we lack comprehensive information on the spatial structure of migratory networks across a species’ range, particularly for small-bodied, long-distance migratory animals. We constructed a migratory network for a songbird and used network-based metrics to characterize the spatial structure and prioritize regions for conservation. The network was constructed using year-round movements derived from 133 archival light-level geolocators attached to Tree Swallows (Tachycineta bicolor) originating from 12 breeding sites across their North American breeding range. From these breeding sites, we identified 10 autumn stopover nodes (regions) in North America, 13 non-breeding nodes located around the Gulf of Mexico, Mexico, Florida, and the Caribbean, and 136 unique edges (migratory routes) connecting nodes. We found strong migratory connectivity between breeding and autumn stopover sites and moderate migratory connectivity between the breeding and non-breeding sites. We identified three distinct ‘communities’ of nodes that corresponded to western, central, and eastern North American flyways. Several regions were important for maintaining network connectivity, with South Florida and Louisiana as the top ranked non-breeding nodes and the Midwest as the top ranked stopover node. We show that migratory songbird networks can have both a high degree of mixing between seasons yet still show regionally distinct migratory flyways. Such information will be crucial for accurately predicting factors that limit and regulate migratory songbirds throughout the annual cycle. Our study highlights how network-based metrics can be valuable for identifying overall network structure and prioritizing specific regions within a network for conserving a wide variety of migratory animals.
DOI: 10.6084/m9.figshare.5310025
title: SMRT sequencing of the full-length transcriptome of the tea aphid, Aphis aurantii

description: Full-length transcriptomic annotation, alternative splicing and SSR detection of the tea aphid, Aphis aurantii
DOI: 10.5441/001/1.3gj67c2k/2
title: Reef manta Komodo Indonesia-reference-data

description: Fleming CH, Sheldon D, Fagan WF, Leimgruber P, Mueller T, Nandintsetseg D, Noonan MJ, Olson KA, Setyawan E, Sianipar A, Calabrese JM (2018) Correcting for missing and irregular data in home-range estimation. Ecological Applications. doi:10.1002/eap.1704
description: Home-range estimation is an important application of animal tracking data that is frequently complicated by autocorrelation, sampling irregularity, and small effective sample sizes. We introduce a novel, optimal weighting method that accounts for temporal sampling bias in autocorrelated tracking data. This method corrects for irregular and missing data, such that oversampled times are downweighted and undersampled times are upweighted to minimize error in the home-range estimate. We also introduce computationally efficient algorithms that make this method feasible with large datasets. Generally speaking, there are three situations where weight optimization improves the accuracy of home-range estimates: with marine data, where the sampling schedule is highly irregular, with duty cycled data, where the sampling schedule changes during the observation period, and when a small number of homerange crossings are observed, making the beginning and end times more independent and informative than the intermediate times. Using both simulated data and empirical examples including reef manta ray, Mongolian gazelle, and African buffalo, optimal weighting is shown to reduce the error and increase the spatial resolution of home-range estimates. With a conveniently packaged and computationally efficient software implementation, this method broadens the array of datasets with which accurate space-use assessments can be made.
DOI: 10.5441/001/1.3gj67c2k/1
title: Reef manta Komodo Indonesia

description: Fleming CH, Sheldon D, Fagan WF, Leimgruber P, Mueller T, Nandintsetseg D, Noonan MJ, Olson KA, Setyawan E, Sianipar A, Calabrese JM (2018) Correcting for missing and irregular data in home-range estimation. Ecological Applications. doi:10.1002/eap.1704
description: Home-range estimation is an important application of animal tracking data that is frequently complicated by autocorrelation, sampling irregularity, and small effective sample sizes. We introduce a novel, optimal weighting method that accounts for temporal sampling bias in autocorrelated tracking data. This method corrects for irregular and missing data, such that oversampled times are downweighted and undersampled times are upweighted to minimize error in the home-range estimate. We also introduce computationally efficient algorithms that make this method feasible with large datasets. Generally speaking, there are three situations where weight optimization improves the accuracy of home-range estimates: with marine data, where the sampling schedule is highly irregular, with duty cycled data, where the sampling schedule changes during the observation period, and when a small number of homerange crossings are observed, making the beginning and end times more independent and informative than the intermediate times. Using both simulated data and empirical examples including reef manta ray, Mongolian gazelle, and African buffalo, optimal weighting is shown to reduce the error and increase the spatial resolution of home-range estimates. With a conveniently packaged and computationally efficient software implementation, this method broadens the array of datasets with which accurate space-use assessments can be made.
DOI: 10.5441/001/1.qr133162/1
title: Daily cattle herd movements in the Logone Floodplain, Cameroon

description: Moritz M, Galehouse Z, Hao Q, Garabed RB (2012) Can one animal represent an entire herd? Modeling pastoral mobility using GPS/GIS technology. Human Ecology 40(4): 623–630. doi:10.1007/s10745-012-9483-6
description: GPS technology allows researchers to examine questions about pastoral mobility at multiple spatiotemporal scales, from daily herd movements to annual transhumance orbits. We examined whether the movements of one animal are representative of the behavior of other animals in the herd, i.e., whether it is possible to track one animal in a herd for studies of pastoralist movements. We examined this question by putting GPS trackers on multiple animals in two different herds. Our study shows that despite the complexities of the interplay between herders’ management and cattle’s social behavior, tracking one animal with GPS is a valid method to study movements and grazing behavior of an entire cattle herd in mobile pastoral systems.
DOI: 10.5441/001/1.qr133162/2
title: Daily cattle herd movements in the Logone Floodplain, Cameroon-reference-data

description: Moritz M, Galehouse Z, Hao Q, Garabed RB (2012) Can one animal represent an entire herd? Modeling pastoral mobility using GPS/GIS technology. Human Ecology 40(4): 623–630. doi:10.1007/s10745-012-9483-6
description: GPS technology allows researchers to examine questions about pastoral mobility at multiple spatiotemporal scales, from daily herd movements to annual transhumance orbits. We examined whether the movements of one animal are representative of the behavior of other animals in the herd, i.e., whether it is possible to track one animal in a herd for studies of pastoralist movements. We examined this question by putting GPS trackers on multiple animals in two different herds. Our study shows that despite the complexities of the interplay between herders’ management and cattle’s social behavior, tracking one animal with GPS is a valid method to study movements and grazing behavior of an entire cattle herd in mobile pastoral systems.
DOI: 10.5281/zenodo.1252262
title: Partij-Belangengroepenrelaties In Vlaanderen: Inventaris Van De Persoonlijke Contacten In Het Verkiezingsjaar 2013-2014 (Ruwe Data)

description: Ruwe data van de inventaris van alle gerapporteerde persoonlijke contacten van de deelnemende partijtopleden van alle zes de vertegenwoordigde Vlaamse partijen in het verkiezingsjaar 2013-2014)
DOI: 10.5281/zenodo.1252125
title: Partij-Belangengroepenrelaties In Vlaanderen (Volledige Dataset)

description: Partij-belangengroepenrelaties in Vlaanderen
DOI: 10.5281/zenodo.1252126
title: Partij-Belangengroepenrelaties In Vlaanderen (Volledige Dataset)

description: Partij-belangengroepenrelaties in Vlaanderen
DOI: 10.5441/001/1.46t5141d/1
title: Soaring flight in Eurasian griffon vultures (HUJ) (data from Harel and Nathan, 2018)

description: Harel R, Nathan R (2018) The characteristic time scale of perceived information for decision-making: departure from thermal columns in soaring birds. Functional Ecology. doi:10.1111/1365-2435.13136
description: (1) Animals are often required to make decisions about their use of current resources while minimising travel costs and risks due to uncertainty about the forthcoming resources. Passive soaring birds utilise warm rising‐air columns (thermals) to climb up and obtain potential energy for flying across large areas. However, the utilisation of such inconsistent natural resources may be challenging for soaring‐gliding birds and involve a set of decisions to maintain efficient flight. (2) To assess which temporal scales of previous experience with environmental inputs best predicted thermal‐climbing departure decisions of soaring birds, we used movement data from Eurasian griffon vultures (Gyps fulvus) tracked by GPS transmitters. We applied Cox proportional hazard regression and a model selection approach to identify thermal‐climbing departure decisions and to compare a range of temporal scales. (3) Our findings support the use of current and recent (short‐term; last 20 minutes) experiences, compared to longer term, past experiences, in predicting the time until departure from thermals. The models supported decision rules that integrated information originating from different temporal scales, implying a tendency to depart from a thermal later when the current climb rate was stronger than experienced recently and vice‐versa. Additionally, climb rates in thermals revealed significant autocorrelation over short time scales (shorter than 30 minutes). (4) The correspondence between thermals’ characteristics and the factors that best predicted thermal‐climbing departure decisions presumably reflect optimal decisions individuals make to handle their dynamic environment and to reduce movement‐related costs of such a basic activity for soaring‐gliding birds.
DOI: 10.5441/001/1.j682ds56
title: Data from: An integrated approach to modeling grazing pressure in pastoral systems: the case of the Logone Floodplain (Cameroon)

description: Moritz M, Soma E, Scholte P, Xiao N, Taylor L, Juran T, Kari S (2010) An integrated approach to modeling grazing pressure in pastoral systems: the case of the Logone Floodplain (Cameroon). Human Ecology 38(6): 775–789. doi:10.1007/s10745-010-9361-z
description: The discussion about the impact of pastoral systems on ecosystems has been profoundly shaped by Hardin’s “tragedy of the commons” argument that held pastoralists responsible for overgrazing the range. Recent studies have shown that grazing ecosystems are much more complex and dynamic than was previously assumed and that pastoralists adaptively manage these systems. However, we still have little understanding how everyday herding affects ecosystems at the landscape level. We conducted a study of daily herd movements and grazing strategies in a mobile pastoral system in the Logone floodplain, Cameroon. We integrated GPS/GIS technology, video recordings of animal behavior, and ethnographic methods to develop a more accurate measurement of grazing pressure that takes into account both livestock densities and grazing behavior. We used the resulting grazing pressure data to evaluate existing conceptual models of grazing pressure at a landscape level. We found that models that predict that grazing pressure is skewed towards the direction of water most accurately reflect the situation in the Logone floodplain in the dry season. However, we found that the higher grazing pressure is not only the result of a higher density of cattle but also a change in the grazing behavior of animals after watering. Finally, we caution that the models of grazing pressure in the dry season cannot simply be extrapolated to the landscape level because mobile pastoralists do not remain in one central place.
DOI: 10.5441/001/1.46t5141d
title: Data from: The characteristic time scale of perceived information for decision-making: departure from thermal columns in soaring birds

description: Harel R, Nathan R (2018) The characteristic time scale of perceived information for decision-making: departure from thermal columns in soaring birds. Functional Ecology. doi:10.1111/1365-2435.13136
description: (1) Animals are often required to make decisions about their use of current resources while minimising travel costs and risks due to uncertainty about the forthcoming resources. Passive soaring birds utilise warm rising‐air columns (thermals) to climb up and obtain potential energy for flying across large areas. However, the utilisation of such inconsistent natural resources may be challenging for soaring‐gliding birds and involve a set of decisions to maintain efficient flight. (2) To assess which temporal scales of previous experience with environmental inputs best predicted thermal‐climbing departure decisions of soaring birds, we used movement data from Eurasian griffon vultures (Gyps fulvus) tracked by GPS transmitters. We applied Cox proportional hazard regression and a model selection approach to identify thermal‐climbing departure decisions and to compare a range of temporal scales. (3) Our findings support the use of current and recent (short‐term; last 20 minutes) experiences, compared to longer term, past experiences, in predicting the time until departure from thermals. The models supported decision rules that integrated information originating from different temporal scales, implying a tendency to depart from a thermal later when the current climb rate was stronger than experienced recently and vice‐versa. Additionally, climb rates in thermals revealed significant autocorrelation over short time scales (shorter than 30 minutes). (4) The correspondence between thermals’ characteristics and the factors that best predicted thermal‐climbing departure decisions presumably reflect optimal decisions individuals make to handle their dynamic environment and to reduce movement‐related costs of such a basic activity for soaring‐gliding birds.
DOI: 10.5281/zenodo.1252263
title: Partij-Belangengroepenrelaties In Vlaanderen: Inventaris Van De Persoonlijke Contacten In Het Verkiezingsjaar 2013-2014 (Ruwe Data)

description: Ruwe data van de inventaris van alle gerapporteerde persoonlijke contacten van de deelnemende partijtopleden van alle zes de vertegenwoordigde Vlaamse partijen in het verkiezingsjaar 2013-2014)
DOI: 10.5441/001/1.j682ds56/2
title: Daily grazing movements of cattle in the Far North Region, Cameroon-reference-data

description: Moritz M, Soma E, Scholte P, Xiao N, Taylor L, Juran T, Kari S (2010) An integrated approach to modeling grazing pressure in pastoral systems: the case of the Logone Floodplain (Cameroon). Human Ecology 38(6): 775–789. doi:10.1007/s10745-010-9361-z
description: The discussion about the impact of pastoral systems on ecosystems has been profoundly shaped by Hardin’s “tragedy of the commons” argument that held pastoralists responsible for overgrazing the range. Recent studies have shown that grazing ecosystems are much more complex and dynamic than was previously assumed and that pastoralists adaptively manage these systems. However, we still have little understanding how everyday herding affects ecosystems at the landscape level. We conducted a study of daily herd movements and grazing strategies in a mobile pastoral system in the Logone floodplain, Cameroon. We integrated GPS/GIS technology, video recordings of animal behavior, and ethnographic methods to develop a more accurate measurement of grazing pressure that takes into account both livestock densities and grazing behavior. We used the resulting grazing pressure data to evaluate existing conceptual models of grazing pressure at a landscape level. We found that models that predict that grazing pressure is skewed towards the direction of water most accurately reflect the situation in the Logone floodplain in the dry season. However, we found that the higher grazing pressure is not only the result of a higher density of cattle but also a change in the grazing behavior of animals after watering. Finally, we caution that the models of grazing pressure in the dry season cannot simply be extrapolated to the landscape level because mobile pastoralists do not remain in one central place.
DOI: 10.5441/001/1.46t5141d/2
title: Soaring flight in Eurasian griffon vultures (HUJ) (data from Harel and Nathan, 2018)-reference-data

description: Harel R, Nathan R (2018) The characteristic time scale of perceived information for decision-making: departure from thermal columns in soaring birds. Functional Ecology. doi:10.1111/1365-2435.13136
description: (1) Animals are often required to make decisions about their use of current resources while minimising travel costs and risks due to uncertainty about the forthcoming resources. Passive soaring birds utilise warm rising‐air columns (thermals) to climb up and obtain potential energy for flying across large areas. However, the utilisation of such inconsistent natural resources may be challenging for soaring‐gliding birds and involve a set of decisions to maintain efficient flight. (2) To assess which temporal scales of previous experience with environmental inputs best predicted thermal‐climbing departure decisions of soaring birds, we used movement data from Eurasian griffon vultures (Gyps fulvus) tracked by GPS transmitters. We applied Cox proportional hazard regression and a model selection approach to identify thermal‐climbing departure decisions and to compare a range of temporal scales. (3) Our findings support the use of current and recent (short‐term; last 20 minutes) experiences, compared to longer term, past experiences, in predicting the time until departure from thermals. The models supported decision rules that integrated information originating from different temporal scales, implying a tendency to depart from a thermal later when the current climb rate was stronger than experienced recently and vice‐versa. Additionally, climb rates in thermals revealed significant autocorrelation over short time scales (shorter than 30 minutes). (4) The correspondence between thermals’ characteristics and the factors that best predicted thermal‐climbing departure decisions presumably reflect optimal decisions individuals make to handle their dynamic environment and to reduce movement‐related costs of such a basic activity for soaring‐gliding birds.
DOI: 10.5441/001/1.j682ds56/1
title: Daily grazing movements of cattle in the Far North Region, Cameroon

description: Moritz M, Soma E, Scholte P, Xiao N, Taylor L, Juran T, Kari S (2010) An integrated approach to modeling grazing pressure in pastoral systems: the case of the Logone Floodplain (Cameroon). Human Ecology 38(6): 775–789. doi:10.1007/s10745-010-9361-z
description: The discussion about the impact of pastoral systems on ecosystems has been profoundly shaped by Hardin’s “tragedy of the commons” argument that held pastoralists responsible for overgrazing the range. Recent studies have shown that grazing ecosystems are much more complex and dynamic than was previously assumed and that pastoralists adaptively manage these systems. However, we still have little understanding how everyday herding affects ecosystems at the landscape level. We conducted a study of daily herd movements and grazing strategies in a mobile pastoral system in the Logone floodplain, Cameroon. We integrated GPS/GIS technology, video recordings of animal behavior, and ethnographic methods to develop a more accurate measurement of grazing pressure that takes into account both livestock densities and grazing behavior. We used the resulting grazing pressure data to evaluate existing conceptual models of grazing pressure at a landscape level. We found that models that predict that grazing pressure is skewed towards the direction of water most accurately reflect the situation in the Logone floodplain in the dry season. However, we found that the higher grazing pressure is not only the result of a higher density of cattle but also a change in the grazing behavior of animals after watering. Finally, we caution that the models of grazing pressure in the dry season cannot simply be extrapolated to the landscape level because mobile pastoralists do not remain in one central place.