cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7568613
title: Cerebellum promotes sequential foraging strategies and contributes to the directional modulation of hippocampal place cells

description: Cerebellum contributes to spatial coding in the hippocampus. When PKC-dependent mechanisms are impaired in cerebellar Purkinje cells, hippocampal place cells indeed lose their spatial selectivity in the dark, when the animal relies mostly on self-motion cues to navigate. This impairment in PKC-dependent cerebellar functions additionally leads to behavioral deficits in using both external and self-motion cues when learning a goal-oriented navigation task. However, it is unclear how cerebellum influences the exploration strategy used by an animal during free foraging in an open environment. Moreover, place cells are influenced by other navigational variables than positions, such as movement direction and speed. Does the cerebellum also play a role in the modulation of place cells by these other covariates? We recorded hippocampal place cells in mice with impaired PKC-dependent mechanisms (L7-PKCI) and in their littermate controls while they performed a foraging task where they could obtain a reward after visiting a subset of hidden locations. We found that L7-PKCI and control mice developed different foraging strategies: while control mice repeated reliable spatial sequences to maximize their rewards, L7-PKCI mice persisted to use a random foraging strategy. The sequence-based strategy was associated with more place cells exhibiting theta-phase precession and theta modulation. It was also correlated with a larger fraction of place cells that were modulated concomitantly by movement direction and speed. Finally, in the dark, the modulation of place cells by movement direction was markedly reduced in L7-PKCI mice, demonstrating that PKC-dependent cerebellar functions control how self-motion cues influence not only position but also direction coding in the hippocampus. Cerebellum thus contributes to developing optimal sequential paths during foraging behavior, which may reflect its impact on self-motion and theta signals contributing to place cells coding.
DOI: 10.5281/zenodo.7568753
title: Cerebellum promotes sequential foraging strategies and contributes to the directional modulation of hippocampal place cells

description: Cerebellum contributes to spatial coding in the hippocampus. When PKC-dependent mechanisms are impaired in cerebellar Purkinje cells, hippocampal place cells indeed lose their spatial selectivity in the dark, when the animal relies mostly on self-motion cues to navigate. This impairment in PKC-dependent cerebellar functions additionally leads to behavioral deficits in using both external and self-motion cues when learning a goal-oriented navigation task. However, it is unclear how cerebellum influences the exploration strategy used by an animal during free foraging in an open environment. Moreover, place cells are influenced by other navigational variables than positions, such as movement direction and speed. Does the cerebellum also play a role in the modulation of place cells by these other covariates? We recorded hippocampal place cells in mice with impaired PKC-dependent mechanisms (L7-PKCI) and in their littermate controls while they performed a foraging task where they could obtain a reward after visiting a subset of hidden locations. We found that L7-PKCI and control mice developed different foraging strategies: while control mice repeated reliable spatial sequences to maximize their rewards, L7-PKCI mice persisted to use a random foraging strategy. The sequence-based strategy was associated with more place cells exhibiting theta-phase precession and theta modulation. It was also correlated with a larger fraction of place cells that were modulated concomitantly by movement direction and speed. Finally, in the dark, the modulation of place cells by movement direction was markedly reduced in L7-PKCI mice, demonstrating that PKC-dependent cerebellar functions control how self-motion cues influence not only position but also direction coding in the hippocampus. Cerebellum thus contributes to developing optimal sequential paths during foraging behavior, which may reflect its impact on self-motion and theta signals contributing to place cells coding.
DOI: 10.5281/zenodo.7568612
title: Cerebellum promotes sequential foraging strategies and contributes to the directional modulation of hippocampal place cells

description: Cerebellum contributes to spatial coding in the hippocampus. When PKC-dependent mechanisms are impaired in cerebellar Purkinje cells, hippocampal place cells indeed lose their spatial selectivity in the dark, when the animal relies mostly on self-motion cues to navigate. This impairment in PKC-dependent cerebellar functions additionally leads to behavioral deficits in using both external and self-motion cues when learning a goal-oriented navigation task. However, it is unclear how cerebellum influences the exploration strategy used by an animal during free foraging in an open environment. Moreover, place cells are influenced by other navigational variables than positions, such as movement direction and speed. Does the cerebellum also play a role in the modulation of place cells by these other covariates? We recorded hippocampal place cells in mice with impaired PKC-dependent mechanisms (L7-PKCI) and in their littermate controls while they performed a foraging task where they could obtain a reward after visiting a subset of hidden locations. We found that L7-PKCI and control mice developed different foraging strategies: while control mice repeated reliable spatial sequences to maximize their rewards, L7-PKCI mice persisted to use a random foraging strategy. The sequence-based strategy was associated with more place cells exhibiting theta-phase precession and theta modulation. It was also correlated with a larger fraction of place cells that were modulated concomitantly by movement direction and speed. Finally, in the dark, the modulation of place cells by movement direction was markedly reduced in L7-PKCI mice, demonstrating that PKC-dependent cerebellar functions control how self-motion cues influence not only position but also direction coding in the hippocampus. Cerebellum thus contributes to developing optimal sequential paths during foraging behavior, which may reflect its impact on self-motion and theta signals contributing to place cells coding.
DOI: 10.21335/nmdc-328259372
title: IMR bottom trawl data 1980-2020

description: The dataset includes bottom trawl stations from the Institute of Marine Research in Norway from 1980 to 2020
DOI: 10.25403/upresearchdata.21746339
title: Evaluation of fermented cereal-based presumptive probiotic bacteria to mitigate the adhesion, inflammation, and cytotoxicity of intestinal epithelial (Caco-2) cells caused by diarrhoeagenic Escherichia coli from unpasteurised fresh milk samples from Mpumalanga, South Africa

description: These datasets consist of the antagonistic effects of selected cereal-based presumptive probiotic bacteria against diarrhoeagenic E. coli regarding adhesion to intestinal epithelial (Caco-2) cells, inflammation, and cytotoxicity of Caco-2 cells. Additionally, they comprise the data for auto-aggregation and coaggregation between the two antagonistic bacteria as well as the direct bactericidal effects of cereal-based presumptive probiotic bacteria against diarrhoeagenic <em>E. coli</em>. Data files with “.xlsm” and “.psfx” extensions can simply be opened with Microsoft Excel (of Microsoft Office (365) and Graphpad prism (8), respectively. Files with .xlsm extensions were simply Microsoft Excel files that were saved as “Excel Macro-Enabled Workbooks” convenience of accessibility and navigation from the spreadsheet mostly labelled/named “Table of Contents” to other spreadsheets of interests throughout my engagement with the data. Graphpad prism, 8 (Version 8.0.2) was used to conduct a few correlation analyses between selected response/dependent variables from which a few correlation curves were plotted. The outputs of such analyses (correlation curves/plots) were copied and inserted/placed into a few Microsoft Excel spreadsheets (both in colour and in black and white).
DOI: 10.25403/upresearchdata.21746339.v1
title: Evaluation of fermented cereal-based presumptive probiotic bacteria to mitigate the adhesion, inflammation, and cytotoxicity of intestinal epithelial (Caco-2) cells caused by diarrhoeagenic Escherichia coli from unpasteurised fresh milk samples from Mpumalanga, South Africa

description: These datasets consist of the antagonistic effects of selected cereal-based presumptive probiotic bacteria against diarrhoeagenic E. coli regarding adhesion to intestinal epithelial (Caco-2) cells, inflammation, and cytotoxicity of Caco-2 cells. Additionally, they comprise the data for auto-aggregation and coaggregation between the two antagonistic bacteria as well as the direct bactericidal effects of cereal-based presumptive probiotic bacteria against diarrhoeagenic <em>E. coli</em>. Data files with “.xlsm” and “.psfx” extensions can simply be opened with Microsoft Excel (of Microsoft Office (365) and Graphpad prism (8), respectively. Files with .xlsm extensions were simply Microsoft Excel files that were saved as “Excel Macro-Enabled Workbooks” convenience of accessibility and navigation from the spreadsheet mostly labelled/named “Table of Contents” to other spreadsheets of interests throughout my engagement with the data. Graphpad prism, 8 (Version 8.0.2) was used to conduct a few correlation analyses between selected response/dependent variables from which a few correlation curves were plotted. The outputs of such analyses (correlation curves/plots) were copied and inserted/placed into a few Microsoft Excel spreadsheets (both in colour and in black and white).
DOI: 10.5281/zenodo.7464397
title: Material from a collaborative analysis with young people. Insights into the analysis process of R&I Action #2 Youth Employment of the CoAct project

description: The collaborative data analysis presented in this document was undertaken in the context of the research project CoAct (Co-designing Citizen Social Science for Collective Action) as part of the R&I Action #2 on Youth Employment. In this R&I Action, using Citizen Social Science as a research approach, young people aged between 15 and 21 years in employment measures in Vienna/Austria participated in collaborative social research activities. The visualisation of data analysis in the form of posters, is a selection of the collaborative analysis of qualitative expert interviews using the the “Stop and Go” (Harrasser, 2017) method. Following this method, audio recording of interviews, done by the young co-researchers themselves, are listened to and summarized as well as connected to the co-researchers’ own experience. The Creative Commons license and a recommendation regarding the citation of the material are provided in the document. For more information please contact veronika.woehrer@univie.ac.at
DOI: 10.5281/zenodo.7464396
title: Material from a collaborative analysis with young people. Insights into the analysis process of R&I Action #2 Youth Employment of the CoAct project

description: The collaborative data analysis presented in this document was undertaken in the context of the research project CoAct (Co-designing Citizen Social Science for Collective Action) as part of the R&I Action #2 on Youth Employment. In this R&I Action, using Citizen Social Science as a research approach, young people aged between 15 and 21 years in employment measures in Vienna/Austria participated in collaborative social research activities. The visualisation of data analysis in the form of posters, is a selection of the collaborative analysis of qualitative expert interviews using the the “Stop and Go” (Harrasser, 2017) method. Following this method, audio recording of interviews, done by the young co-researchers themselves, are listened to and summarized as well as connected to the co-researchers’ own experience. The Creative Commons license and a recommendation regarding the citation of the material are provided in the document. For more information please contact veronika.woehrer@univie.ac.at
DOI: 10.5441/001/1.k6s7916g/1
title: GPS tracking of eastern whip-poor-will

description: Skinner AA, Ward MP, Souza-Cole I, Wright JR, Thompson FR, III, Benson TJ, Matthews SN, Tonra CM. 2022. High spatiotemporal overlap in the non-breeding season despite geographically dispersed breeding locations in the eastern whip-poor-will (Antrostomus vociferus). Divers Distrib. 28(4):712–726. doi:10.1111/ddi.13477
description: Aim: A full annual cycle approach to conservation and understanding of regional population trends requires an understanding of migratory connectivity. We present tracking data on the eastern whip-poor-will (Antrostomus vociferus), a Neotropical migrant that has declined by 70% in recent decades. When and where populations of this species are limited throughout the annual cycle is poorly understood. Location: Breeding area: midwestern United States; passage area and winter area: midwestern/southern United States, Mexico, Central America. Methods: We utilized data from 52 archival GPS tags from five breeding areas covering a 9.5-degree latitudinal span (~1000 km) of the whip-poor-will breeding range in the summers of 2017 and 2019. We identified migratory routes and spatiotemporal bottlenecks, stopover and wintering locations, calculated migratory connectivity throughout migration and on the wintering grounds and tested predictions for three latitudinal connectivity patterns. Results: Whip-poor-wills circumvented the Gulf of Mexico, and populations across a large latitudinal gradient came together in eastern Texas in early October, resulting in decreased connectivity throughout migration. Breeding-winter migratory connectivity was low (MC = 0.22 ± 0.12), with extensive overlap of core wintering areas in southern Mexico and Guatemala. The overlap of wintering areas by individuals from dispersed breeding latitudes suggests that whip-poor-wills most closely resemble telescopic migrants. Main conclusions: Circumventing the Gulf of Mexico influenced connectivity in the whip-poor-will, funnelling individuals into a small region in eastern Texas in migration and likely influencing breeding-winter connectivity. Thus, geographically dispersed breeding populations overlap in space and time during migration and winter, and non-breeding season conditions affecting populations (both positively and negatively) impact individuals from across the core breeding range. For example, extensive deforestation occurring in the whip-poor-will's core wintering area likely impacts individuals from all five deployment locations. We demonstrate that combining multiple indices of spatiotemporal cohesion is critical to fully understand how migratory animals are distributed in the non-breeding season.
DOI: 10.5441/001/1.k6s7916g/2
title: GPS tracking of eastern whip-poor-will-reference-data

description: Skinner AA, Ward MP, Souza-Cole I, Wright JR, Thompson FR, III, Benson TJ, Matthews SN, Tonra CM. 2022. High spatiotemporal overlap in the non-breeding season despite geographically dispersed breeding locations in the eastern whip-poor-will (Antrostomus vociferus). Divers Distrib. 28(4):712–726. doi:10.1111/ddi.13477
description: Aim: A full annual cycle approach to conservation and understanding of regional population trends requires an understanding of migratory connectivity. We present tracking data on the eastern whip-poor-will (Antrostomus vociferus), a Neotropical migrant that has declined by 70% in recent decades. When and where populations of this species are limited throughout the annual cycle is poorly understood. Location: Breeding area: midwestern United States; passage area and winter area: midwestern/southern United States, Mexico, Central America. Methods: We utilized data from 52 archival GPS tags from five breeding areas covering a 9.5-degree latitudinal span (~1000 km) of the whip-poor-will breeding range in the summers of 2017 and 2019. We identified migratory routes and spatiotemporal bottlenecks, stopover and wintering locations, calculated migratory connectivity throughout migration and on the wintering grounds and tested predictions for three latitudinal connectivity patterns. Results: Whip-poor-wills circumvented the Gulf of Mexico, and populations across a large latitudinal gradient came together in eastern Texas in early October, resulting in decreased connectivity throughout migration. Breeding-winter migratory connectivity was low (MC = 0.22 ± 0.12), with extensive overlap of core wintering areas in southern Mexico and Guatemala. The overlap of wintering areas by individuals from dispersed breeding latitudes suggests that whip-poor-wills most closely resemble telescopic migrants. Main conclusions: Circumventing the Gulf of Mexico influenced connectivity in the whip-poor-will, funnelling individuals into a small region in eastern Texas in migration and likely influencing breeding-winter connectivity. Thus, geographically dispersed breeding populations overlap in space and time during migration and winter, and non-breeding season conditions affecting populations (both positively and negatively) impact individuals from across the core breeding range. For example, extensive deforestation occurring in the whip-poor-will's core wintering area likely impacts individuals from all five deployment locations. We demonstrate that combining multiple indices of spatiotemporal cohesion is critical to fully understand how migratory animals are distributed in the non-breeding season.
DOI: 10.5441/001/1.6v110sv8/1
title: Overwintering areas of eastern whip-poor-will

description: Tonra CM, Wright JR, Matthews SN. 2019. Remote estimation of overwintering home ranges in an elusive, migratory nocturnal bird. Ecol Evol. 9(22):12586-12599. doi:10.1002/ece3.5723
description: Due to a long running research bias toward the breeding season, there are major gaps in knowledge on the basic nonbreeding ecology of many species, preventing a full‐annual cycle focus in ecology and conservation. Exacerbating this problem is the fact that many species are extremely difficult to detect outside of breeding. Here, we demonstrate a partial solution to this problem by using archival GPS tags to examine the overwintering ecology of a migratory nocturnal bird, the eastern whip‐poor‐will (Antrostomus vociferous). We deployed tags on 21 individuals and were able to recover 11 (52%) one year later. Tags collected high precision (approx. 10 m) points throughout the nonbreeding period. With continuous time movement models, we used these data to estimate overwintering home ranges. All individuals exhibited at least one bounded home range during this phase of the annual cycle, three of eleven had two wintering locations, and home range area ranged from 0.50 to 10.85 ha. All overwintering home ranges contained closed‐canopy forest land cover (42%–100%), and no other land cover type represented &gt;40% of any home range. We found some evidence, with caveats, that total edge within the landscape surrounding the home range was negatively related to home range area. The prevalence of contiguous closed‐canopy forest cover in overwintering home ranges contrasts with apparent breeding habitat preferences, which includes clear‐cuts and other, more open, habitats. This study is the first to reveal key aspects of overwintering space use in this species by using archival GPS to overcome both logistical and methodological limitations. Expanded use of such technology is critical to gathering basic ecological and distributional data, necessary for achieving a more complete understanding of full‐annual cycles of animal populations.
DOI: 10.5441/001/1.6v110sv8/2
title: Overwintering areas of eastern whip-poor-will-reference-data

description: Tonra CM, Wright JR, Matthews SN. 2019. Remote estimation of overwintering home ranges in an elusive, migratory nocturnal bird. Ecol Evol. 9(22):12586-12599. doi:10.1002/ece3.5723
description: Due to a long running research bias toward the breeding season, there are major gaps in knowledge on the basic nonbreeding ecology of many species, preventing a full‐annual cycle focus in ecology and conservation. Exacerbating this problem is the fact that many species are extremely difficult to detect outside of breeding. Here, we demonstrate a partial solution to this problem by using archival GPS tags to examine the overwintering ecology of a migratory nocturnal bird, the eastern whip‐poor‐will (Antrostomus vociferous). We deployed tags on 21 individuals and were able to recover 11 (52%) one year later. Tags collected high precision (approx. 10 m) points throughout the nonbreeding period. With continuous time movement models, we used these data to estimate overwintering home ranges. All individuals exhibited at least one bounded home range during this phase of the annual cycle, three of eleven had two wintering locations, and home range area ranged from 0.50 to 10.85 ha. All overwintering home ranges contained closed‐canopy forest land cover (42%–100%), and no other land cover type represented &gt;40% of any home range. We found some evidence, with caveats, that total edge within the landscape surrounding the home range was negatively related to home range area. The prevalence of contiguous closed‐canopy forest cover in overwintering home ranges contrasts with apparent breeding habitat preferences, which includes clear‐cuts and other, more open, habitats. This study is the first to reveal key aspects of overwintering space use in this species by using archival GPS to overcome both logistical and methodological limitations. Expanded use of such technology is critical to gathering basic ecological and distributional data, necessary for achieving a more complete understanding of full‐annual cycles of animal populations.
DOI: 10.15454/mvhclq/eyv1yg
title: 2020.09.30_Massane.laz

description: Lidar Point cloud, Massane Sept 2021
DOI: 10.57745/0q3ika
title: MNT_1m.tif

description: Digital Elevation Model , 1 m spatial resolution
DOI: 10.57745/qcg7q2
title: tiles_classees.7z

description: Soil ground/Vegetation classified points
DOI: 10.57745/qvsypq
title: MNT_10cm.tif

description: Digital Elevation Model , 10cm spatial resolution
DOI: 10.57745/oxvbuz
title: MNS_1m.tif

description: Digital Surface Model, 1 meter spatial resolution
DOI: 10.57745/plvokl
title: MNS_50cm.tif

description: Digital Surface Model, 50cm spatial resolution
DOI: 10.57745/uvljgq
title: MNC_50cm.tif

description: Digital Canopy Model, 50 cm spatial resolution
DOI: 10.57745/v0mzyh
title: MNC_1m.tif

description: Digital Canopy Model , 1 meter spatial resolution