cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-07.2558452/2195054
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-04.2473213/2195055
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-05.2522450/2195056
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561174/2195057
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522503/2195058
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561160/2195059
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561216/2195060
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522538/2195061
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-05.2522612/2195062
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-05.2522437/2195063
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561241/2195064
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2558635/2195065
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522583/2195066
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561038/2195067
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561155/2195068
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561221/2195069
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561233/2195070
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2560937/2195071
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561232/2195072
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522592/2195073
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-05.2522579/2195074
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2557060/2195075
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2559860/2195076
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561242/2195077
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2560957/2195078
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561227/2195079
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522463/2195080
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-05.2522570/2195081
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2553711/2195082
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2557227/2195083
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561009/2195084
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522512/2195085
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2555304/2195086
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2554425/2195087
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522548/2195088
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2558737/2195089
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522601/2195090
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2554654/2195091
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561238/2195092
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2559341/2195093
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-04.2473131/2195094
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-05.2522443/2195095
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2557114/2195096
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561015/2195097
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2555185/2195098
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561213/2195099
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522563/2195100
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561208/2195101
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522511/2195102
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-05.2522614/2195103
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561173/2195104
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522552/2195105
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561021/2195106
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522465/2195107
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561159/2195108
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2557254/2195109
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522558/2195110
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2555652/2195111
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-04.2473124/2195112
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-07.2559594/2195113
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522618/2195114
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2554862/2195115
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-04.2473100/2195116
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-07.2561171/2195117
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561183/2195118
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2560265/2195119
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2555554/2195120
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522629/2195121
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2554692/2195122
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522495/2195123
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-05.2522502/2195124
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-04.2473095/2195125
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-07.2557233/2195126
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2555127/2195127
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522529/2195128
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561249/2195129
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561252/2195130
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2557722/2195131
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2559576/2195132
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561156/2195133
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-04.2473097/2195134
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-05.2522567/2195135
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561157/2195136
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2560972/2195137
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2559280/2195138
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-04.2473123/2195139
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-07.2561177/2195140
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2557841/2195141
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2557454/2195142
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522630/2195143
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2561112/2195144
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2561167/2195145
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522481/2195146
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2554617/2195147
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-05.2522496/2195148
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-05.2522620/2195149
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2554104/2195150
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2557384/2195151
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-04.2473157/2195152
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-05.2522513/2195153
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-07.2555275/2195154
title: Data for EMSL Project 60221 from July 2022
DOI: 10.25582/data.2022-07.2559095/2195155
title: Data for EMSL Project 60221 from July 2022
DOI: 10.6084/m9.figshare.12040581
title: Ecoacoustics of small forest patches in agricultural landscapes: acoustic diversity and bird richness increase with patch size

description: The species–area relationship is well documented across species in multiple ecosystems, and as such is widely accepted as one of ecology’s key patterns. Although acoustic diversity has generally been correlated with species richness, the response of acoustic diversity to habitat size is unknown. Thus, we tested the transferability of the species–area relationship to a broader ‘biodiversity–area relationship’, investigating if acoustic diversity increases with habitat size. Twenty-two forest patches of increasing size (0.01–4.7 ha) in an agricultural area were inventoried for structural characteristics and bird richness. Plots were acoustically monitored over three time periods. Acoustic diversity values were related to habitat size, vegetation structural diversity and bird richness using linear regression analysis. We confirmed that acoustic diversity increased with forest patch size. When tested in separate models, bird richness and forest structural parameters explained variations in acoustic diversity equally well as forest patch size. Although the relative effects of patch size, bird richness and habitat heterogeneity are difficult to disentangle, acoustic diversity can be a useful proxy to study effects of forest fragmentation as it is subjected to a similar combination of drivers as traditionally surveyed metrics of biodiversity.Key policy insightsThis study provides evidence that indices on acoustic diversity relate to vocalizing species diversity and forest structure, making these indices a useful tool to study biodiversity processes.This study confirms that decreasing habitat size correlates with decreasing biodiversity, for the first time including acoustic diversity as one aspect of biodiversity.This study underlines the importance of preserving forest patches in agricultural landscapes as refuges for biodiversity. Biodiversity can be enhanced by increasing forest patch size, reducing fragmentation and increasing habitat quality through enhancing structural diversity. This study provides evidence that indices on acoustic diversity relate to vocalizing species diversity and forest structure, making these indices a useful tool to study biodiversity processes. This study confirms that decreasing habitat size correlates with decreasing biodiversity, for the first time including acoustic diversity as one aspect of biodiversity. This study underlines the importance of preserving forest patches in agricultural landscapes as refuges for biodiversity. Biodiversity can be enhanced by increasing forest patch size, reducing fragmentation and increasing habitat quality through enhancing structural diversity.
DOI: 10.6084/m9.figshare.12040581.v1
title: Ecoacoustics of small forest patches in agricultural landscapes: acoustic diversity and bird richness increase with patch size

description: The species–area relationship is well documented across species in multiple ecosystems, and as such is widely accepted as one of ecology’s key patterns. Although acoustic diversity has generally been correlated with species richness, the response of acoustic diversity to habitat size is unknown. Thus, we tested the transferability of the species–area relationship to a broader ‘biodiversity–area relationship’, investigating if acoustic diversity increases with habitat size. Twenty-two forest patches of increasing size (0.01–4.7 ha) in an agricultural area were inventoried for structural characteristics and bird richness. Plots were acoustically monitored over three time periods. Acoustic diversity values were related to habitat size, vegetation structural diversity and bird richness using linear regression analysis. We confirmed that acoustic diversity increased with forest patch size. When tested in separate models, bird richness and forest structural parameters explained variations in acoustic diversity equally well as forest patch size. Although the relative effects of patch size, bird richness and habitat heterogeneity are difficult to disentangle, acoustic diversity can be a useful proxy to study effects of forest fragmentation as it is subjected to a similar combination of drivers as traditionally surveyed metrics of biodiversity.Key policy insightsThis study provides evidence that indices on acoustic diversity relate to vocalizing species diversity and forest structure, making these indices a useful tool to study biodiversity processes.This study confirms that decreasing habitat size correlates with decreasing biodiversity, for the first time including acoustic diversity as one aspect of biodiversity.This study underlines the importance of preserving forest patches in agricultural landscapes as refuges for biodiversity. Biodiversity can be enhanced by increasing forest patch size, reducing fragmentation and increasing habitat quality through enhancing structural diversity. This study provides evidence that indices on acoustic diversity relate to vocalizing species diversity and forest structure, making these indices a useful tool to study biodiversity processes. This study confirms that decreasing habitat size correlates with decreasing biodiversity, for the first time including acoustic diversity as one aspect of biodiversity. This study underlines the importance of preserving forest patches in agricultural landscapes as refuges for biodiversity. Biodiversity can be enhanced by increasing forest patch size, reducing fragmentation and increasing habitat quality through enhancing structural diversity.
DOI: 10.6084/m9.figshare.24523084.v1
title: RNA Seq for DEGs

description: RNA seq for different expressed genes.
DOI: 10.6084/m9.figshare.11829603
title: Soundscape shifts during the 2017 total solar eclipse: an application of dispersed automated recording units to study ephemeral acoustic events

description: Shifts in soundscapes often reflect diurnal patterns. In 2017 a total solar eclipse occurred in the US, resulting in a period of 3 h with the sun partially covered by the moon and 2 min of total darkness. We hypothesised this would create yet unmeasured and novel changes in different biophonic events. We placed automated recording units across an urban–rural gradient within the path of the total solar eclipse. We used generalised additive models to model and visualise acoustic shifts as a function of both time and per cent urban development. Biophony, a measure of the average frequency generated from biological sound, increased immediately before the period of the total solar eclipse and following the end of the eclipse, assuming the character of a dusk and dawn chorus. Other unique effects were observed, such as less anthrophony before totality. The total solar eclipse provided novel insight on temporal and spatial variation in soundscapes. Key policy inslightsThe ecological response to changes in a landscape can be measured over time and space using acoustic technologyLandscape context must be considered when studying the biology of astrological eventsGeneralized additive modeling allows a better understanding of non-linear and unique trends and consider the nested effect of location The ecological response to changes in a landscape can be measured over time and space using acoustic technology Landscape context must be considered when studying the biology of astrological events Generalized additive modeling allows a better understanding of non-linear and unique trends and consider the nested effect of location
DOI: 10.6084/m9.figshare.11831166
title: An ecoacoustic approach to understand the effects of human sound on soundscapes and avian communication

description: Anthropogenic sound disrupts animal communication, but little research has both quantified how this disruption changes the soundscape and connected these changes to shifts in avian behaviour. We examined the effects of anthropogenic sound on soundscapes and avian vocalisation and flight behaviour. We recorded Carolina Chickadee (<i>Poecile carolinensis</i>) vocalisations, tested if vocalisations differed with varying levels of anthropogenic sound and overall variation in soundscape, and observed behavioural responses to differing vocalisation playbacks to test the functionality of possible vocalisation shifts. We found that anthropogenic sound disturbance predicted change in soundscape indicators. Vocalisation frequency was higher in areas of high disturbance but did not differ with changes in soundscape. Vocalisation frequency shifts did not provide a functional advantage, possibly explaining the lack of vocalisation changes in response to disturbed soundscapes. These analyses demonstrate that anthropogenic sound does change the surrounding soundscape, but the interaction between these changes and animal behaviour is multidimensional.Key policy insightsBy quantifying the effects of sound from roads on the surrounding soundscape, we demonstrated how anthropogenic sound disturbance impacts the surrounding ecosystem, not just the immediate site of the generated sound.Increasing anthropogenic sound disturbance affected avian vocalisation. Birds vocalised at a higher frequency in the presence of higher anthropogenic sound disturbance.Vocalisation frequency shifts did not provide an advantage in overcoming acoustic masking from roads.The assessment of vocal responses to anthropogenic sound needs to extend to include complex assessments of behaviours. Without these behavioural assessments we may not be able to properly evaluate the effects of anthropogenic sound disturbances on avian communication and behaviour. By quantifying the effects of sound from roads on the surrounding soundscape, we demonstrated how anthropogenic sound disturbance impacts the surrounding ecosystem, not just the immediate site of the generated sound. Increasing anthropogenic sound disturbance affected avian vocalisation. Birds vocalised at a higher frequency in the presence of higher anthropogenic sound disturbance. Vocalisation frequency shifts did not provide an advantage in overcoming acoustic masking from roads. The assessment of vocal responses to anthropogenic sound needs to extend to include complex assessments of behaviours. Without these behavioural assessments we may not be able to properly evaluate the effects of anthropogenic sound disturbances on avian communication and behaviour.
DOI: 10.6084/m9.figshare.11831166.v1
title: An ecoacoustic approach to understand the effects of human sound on soundscapes and avian communication

description: Anthropogenic sound disrupts animal communication, but little research has both quantified how this disruption changes the soundscape and connected these changes to shifts in avian behaviour. We examined the effects of anthropogenic sound on soundscapes and avian vocalisation and flight behaviour. We recorded Carolina Chickadee (<i>Poecile carolinensis</i>) vocalisations, tested if vocalisations differed with varying levels of anthropogenic sound and overall variation in soundscape, and observed behavioural responses to differing vocalisation playbacks to test the functionality of possible vocalisation shifts. We found that anthropogenic sound disturbance predicted change in soundscape indicators. Vocalisation frequency was higher in areas of high disturbance but did not differ with changes in soundscape. Vocalisation frequency shifts did not provide a functional advantage, possibly explaining the lack of vocalisation changes in response to disturbed soundscapes. These analyses demonstrate that anthropogenic sound does change the surrounding soundscape, but the interaction between these changes and animal behaviour is multidimensional.Key policy insightsBy quantifying the effects of sound from roads on the surrounding soundscape, we demonstrated how anthropogenic sound disturbance impacts the surrounding ecosystem, not just the immediate site of the generated sound.Increasing anthropogenic sound disturbance affected avian vocalisation. Birds vocalised at a higher frequency in the presence of higher anthropogenic sound disturbance.Vocalisation frequency shifts did not provide an advantage in overcoming acoustic masking from roads.The assessment of vocal responses to anthropogenic sound needs to extend to include complex assessments of behaviours. Without these behavioural assessments we may not be able to properly evaluate the effects of anthropogenic sound disturbances on avian communication and behaviour. By quantifying the effects of sound from roads on the surrounding soundscape, we demonstrated how anthropogenic sound disturbance impacts the surrounding ecosystem, not just the immediate site of the generated sound. Increasing anthropogenic sound disturbance affected avian vocalisation. Birds vocalised at a higher frequency in the presence of higher anthropogenic sound disturbance. Vocalisation frequency shifts did not provide an advantage in overcoming acoustic masking from roads. The assessment of vocal responses to anthropogenic sound needs to extend to include complex assessments of behaviours. Without these behavioural assessments we may not be able to properly evaluate the effects of anthropogenic sound disturbances on avian communication and behaviour.
DOI: 10.6084/m9.figshare.24523084
title: RNA Seq for DEGs

description: RNA seq for different expressed genes.
DOI: 10.25582/data.2022-07.2560358/2195156
title: Data for EMSL Project 60221 from July 2022