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Research data keyboard_double_arrow_right Dataset 2019Embargo end date: 09 Jan 2019 EnglishPublisher:Dryad Funded by:ARC | Understanding the evoluti...ARC| Understanding the evolutionary tempo and significance of the first animals through exceptional fossil preservationBicknell, Russell D. C.; Klinkhamer, Ada J.; Flavel, Richard J.; Wroe, Stephen; Paterson, John R.;doi: 10.5061/dryad.vs044
Limulus polyphemus, an archetypal chelicerate taxon, has interested both biological and paleontological researchers due to its unique suite of anatomical features and as a useful modern analogue for fossil arthropod groups. To assist the study and documentation of this iconic taxon, we present a 3D atlas on the appendage musculature, with specific focus on the muscles of the cephalothoracic appendages. As L. polyphemus appendage musculature has been the focus of extensive study, depicting the muscles in 3D will facilitate a more complete understanding thereof for future researchers. A large museum specimen was CT scanned to illustrate the major exoskeletal features of L. polyphemus. Micro-CT scans of iodine-stained appendages from fresh, non-museum specimens were digitally dissected to interactively depict appendage sections and muscles. This study has revealed the presence of two new muscles: one within the pushing leg, located dorsally relative to all other patella muscles, and the other within the male pedipalp, located in the modified tibiotarsus. This atlas increases accessibility to important internal and external morphological features of L. polyphemus and reduces the need for destructive fresh tissue dissection of specimens. Scanning, digitally dissecting, and documenting taxa in 3D is a pivotal step towards creating permanent digital records of life on Earth. Supplementary Figure 1Fig. S1: 3D interactive model of the complete Limulus polyphemus specimen, as modelled from CT-scanning.Fig._S1.pdfSupplementary Figure 2Fig. S2: 3D interactive model of the Limulus polyphemus chelicera, as modelled from iodine staining and micro-CT-scanning.Fig._S2.pdfSupplementary Figure 3Fig. S3: 3D interactive model of the Limulus polyphemus walking leg, as modelled from iodine staining and micro-CT-scanning.Fig._S3.pdfSupplementary Figure 4Fig. S4: 3D interactive model of the Limulus polyphemus male pedipalp, as modelled from iodine staining and micro-CT-scanning.Fig._S4.pdfSupplementary figure 5Fig. S5: 3D interactive model of the Limulus polyphemus pushing leg, as modelled from iodine staining and micro-CT-scanning.Fig._S5.pdfSupplementary Figure 6Fig. S6: 3D interactive model of the Limulus polyphemus chilaria, as modelled from iodine staining and micro-CT-scanning.Fig._S6.pdfSupplementary Figure 7Fig. S7: 3D interactive model of the Limulus polyphemus genital operculum, as modelled from iodine staining and micro-CT-scanning.Fig._S7.pdfSupplementary Figure 8Fig. S8: 3D interactive model of the Limulus polyphemus gill operculum, as modelled from iodine staining and micro-CT-scanning.Fig._S8.pdf
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 download downloads 206 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 16 Dec 2018 EnglishPublisher:Dryad Funded by:ARC | ARC Centres of Excellence..., ARC | Cognitive control of atte..., ARC | Discovery Projects - Gran...ARC| ARC Centres of Excellence - Grant ID: CE140100007 ,ARC| Cognitive control of attention and its role in regulating brain function in health and disease ,ARC| Discovery Projects - Grant ID: DP170100908Authors: Tang, Matthew F.; Smout, Cooper A.; Arabzadeh, Ehsan; Mattingley, Jason B.;Tang, Matthew F.; Smout, Cooper A.; Arabzadeh, Ehsan; Mattingley, Jason B.;doi: 10.5061/dryad.3d7kq
Predictive coding theories argue that recent experience establishes expectations in the brain that generate prediction errors when violated. Prediction errors provide a possible explanation for repetition suppression, where evoked neural activity is attenuated across repeated presentations of the same stimulus. The predictive coding account argues repetition suppression arises because repeated stimuli are expected, whereas non-repeated stimuli are unexpected and thus elicit larger neural responses. Here we employed electroencephalography in humans to test the predictive coding account of repetition suppression by presenting sequences of visual gratings with orientations that were expected either to repeat or change in separate blocks of trials. We applied multivariate forward modelling to determine how orientation selectivity was affected by repetition and prediction. Unexpected stimuli were associated with significantly enhanced orientation selectivity, whereas selectivity was unaffected for repeated stimuli. Our results suggest that repetition suppression and expectation have separable effects on neural representations of visual feature information. Participant 1 EEG dataParticipant 1 EEG dataP-1(Combinedcleaned).setParticipant 2 EEG dataP-2(Combinedcleaned).setParticipant 3 EEG dataP-3(Combinedcleaned).setParticipant 4 EEG dataP-4(Combinedcleaned).setParticipant 5 EEG dataP-5(Combinedcleaned).setParticipant 6 EEG dataP-6(Combinedcleaned).setParticipant 7 EEG dataP-7(Combinedcleaned).setParticipant 8 EEG dataP-8(Combinedcleaned).setParticipant 10 EEG dataP-10(Combinedcleaned).setParticipant 11 EEG dataP-11(Combinedcleaned).setParticipant 13 EEG dataP-13(Combinedcleaned).setParticipant 14 EEG dataP-14(Combinedcleaned).setParticipant 15 EEG dataP-15(Combinedcleaned).setParticipant 16 EEG dataP-16(Combinedcleaned).setParticipant 17 EEG dataP-17(Combinedcleaned).set
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 61visibility views 61 download downloads 57 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 13 Mar 2018 Spain EnglishPublisher:Dryad Funded by:EC | 100 Archaic Genomes, ARC | Australian Laureate Fello..., ARC | ARC Future Fellowships - ... +1 projectsEC| 100 Archaic Genomes ,ARC| Australian Laureate Fellowships - Grant ID: FL130100116 ,ARC| ARC Future Fellowships - Grant ID: FT140100384 ,ARC| ARC Future Fellowships - Grant ID: FT150100138Slon, Viviane; Hopfe, Charlotte; Weiss, Clemens L.; Mafessoni, Fabrizio; de la Rasilla, Marco; Lalueza-Fox, Carles;doi: 10.5061/dryad.m2dk7
handle: 10261/278288
Although a rich record of Pleistocene human-associated archaeological assemblages exists, the scarcity of hominin fossils often impedes the understanding of which hominins occupied a site. Using targeted enrichment of mitochondrial DNA we show that cave sediments represent a rich source of ancient mammalian DNA that often includes traces of hominin DNA, even at sites and in layers where no hominin remains have been discovered. By automation-assisted screening of numerous sediment samples we detect Neandertal DNA in eight archaeological layers from four caves in Eurasia. In Denisova Cave we retrieved Denisovan DNA in a Middle Pleistocene layer near the bottom of the stratigraphy. Our work opens the possibility to detect the presence of hominin groups at sites and in areas where no skeletal remains are found. Multiple sequence alignment files This submission contains multiple sequence alignment files used for phylogenetic reconstructions. Sequences reconstructed from sediments are denominated by the site and layer of origin. The comparative data (identical in all files) is identified by the name of the individual and the accession code of its mtDNA sequence. MSA_sedimentDNA.zip Peer reviewed
DRYAD; ZENODO; NARCI... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . 2018 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 33visibility views 33 download downloads 4 Powered bymore_vert DRYAD; ZENODO; NARCI... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . 2018 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.m2dk7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017Embargo end date: 22 Dec 2017 EnglishPublisher:Dryad Funded by:ARC | Plasticity in the periphe..., ARC | The role of synapse devel...ARC| Plasticity in the periphery: how sensory experience modulates the sense of smell ,ARC| The role of synapse development in cognitive disorderNouvian, Morgane; Mandal, Souvik; Jamme, Charlène; Claudianos, Charles; d'Ettorre, Patrizia; Reinhard, Judith; Barron, Andrew B.; Giurfa, Martin;doi: 10.5061/dryad.rj10c
The defence of a society often requires that some specialized members coordinate to repel a threat at personal risk. This is especially true for honeybee guards, which defend the hive and may sacrifice their lives upon stinging. Central to this cooperative defensive response is the sting alarm pheromone, which has isoamyl acetate (IAA) as its main component. Although this defensive behaviour has been well described, the neural mechanisms triggered by IAA to coordinate stinging have long remained unknown. Here we show that IAA upregulates brain levels of serotonin and dopamine, thereby increasing the likelihood of an individual bee to attack and sting. Pharmacological enhancement of the levels of both amines induces higher defensive responsiveness, while decreasing them via antagonists decreases stinging. Our results thus uncover the neural mechanism by which an alarm pheromone recruits individuals to attack and repel a threat, and suggest that the alarm pheromone of honeybees acts on their response threshold rather than as a direct trigger. Data coloniesRaw data supporting the information presented in Figure 1.Data individualsRaw data supporting the information presented in Figures 2 and 3Data pharmacoRaw data supporting the information presented in Figure 4
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.rj10c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 10visibility views 10 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.rj10c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017Embargo end date: 10 Apr 2017 EnglishPublisher:Dryad Funded by:ARC | Discovery Projects - Gran..., ARC | Decoding the neural repre...ARC| Discovery Projects - Grant ID: DP160101300 ,ARC| Decoding the neural representation of objects in the human brainAuthors: Goddard, Erin; Solomon, Samuel G.; Carlson, Thomas A.;Goddard, Erin; Solomon, Samuel G.; Carlson, Thomas A.;doi: 10.5061/dryad.6f8f0
The middle-temporal area (MT) of primate visual cortex is critical in the analysis of visual motion. Single-unit studies suggest that the response dynamics of neurons within area MT depend on stimulus features, but how these dynamics emerge at the population level, and how feature representations interact, is not clear. Here, we used multivariate classification analysis to study how stimulus features are represented in the spiking activity of populations of neurons in area MT of marmoset monkey. Using Representational Similarity Analysis (RSA) we distinguished the emerging representations of moving grating and dot field stimuli. We show that representations of stimulus orientation, spatial frequency and speed are evident near the onset of the population response, while the representation of stimulus direction is slower to emerge and sustained throughout the stimulus-evoked response. We further found a spatiotemporal asymmetry in the emergence of direction representations. Representations for high spatial frequencies and low temporal frequencies are initially orientation-dependent, while those for high temporal frequencies and low spatial frequencies are more sensitive to motion direction. Our analyses reveal a complex interplay of feature representations in area MT population response that may explain the stimulus-dependent dynamics of motion vision. Multivariate classifier performance: moving dot field stimuliMultivariate classifier performance (proportion correct) when discriminating moving dot field stimuli (varying in direction and speed) based on multi electrode recordings from marmoset area MT. All data is stored in Matlab data (.mat) files that were created with Matlab 2013a.Moving_dot_field_classification_performance.matSpike counts: moving dot field stimuliSpike counts for each electrode from marmoset area MT recorded while the anaesthetised animal was shown moving dot field stimuli. All data is stored in Matlab data (.mat) files that were created with Matlab 2013a.Moving_dot_field_spike_counts.zipMultivariate classifier performance: moving grating stimuliMultivariate classifier performance (proportion correct) when discriminating moving grating stimuli (varying in direction and speed) based on multi electrode recordings from marmoset area MT. All data is stored in Matlab data (.mat) files that were created with Matlab 2013a.Moving_grating_classification_performance.matSpike counts: moving grating stimuliSpike counts for each electrode from marmoset area MT recorded while the anaesthetised animal was shown moving dot field stimuli. All data is stored in Matlab data (.mat) files that were created with Matlab 2013aMoving_grating_spike_counts.zip
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 16visibility views 16 download downloads 5 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017Embargo end date: 14 Feb 2017 EnglishPublisher:Dryad Funded by:ARC | Mapping the connectome th..., EC | HBP, NHMRC | Reduced baroreceptor refl... +1 projectsARC| Mapping the connectome that controls blood pressure ,EC| HBP ,NHMRC| Reduced baroreceptor reflex control of heart rate in chronic renal failure ,EC| HBP SGA1Dempsey, Bowen; Le, Sheng; Turner, Anita; Bokiniec, Phill; Ramadas, Radhika; Bjaalie, Jan G.; Menuet, Clement; Neve, Rachael; Allen, Andrew; Goodchild, Ann; McMullan, Simon; Bokiniec, Phil; Goodchild, Ann K.; Allen, Andrew M.;doi: 10.5061/dryad.q5t5s
Spinally projecting neurons in the rostral ventrolateral medulla (RVLM) play a critical role in the generation of vasomotor sympathetic tone and are thought to receive convergent input from neurons at every level of the neuraxis; the factors that determine their ongoing activity remain unresolved. In this study we use a genetically restricted viral tracing strategy to definitively map their spatially diffuse connectome. We infected bulbospinal RVLM neurons with recombinant rabies variant that drives reporter expression in monosynaptically connected input neurons and mapped their distribution using a MRI-based volumetric atlas and a novel image alignment and visualization tool that efficiently translates the positions of neurons captured in conventional photomicrographs to Cartesian coordinates. We identified prominent inputs from well-established neurohumoral and viscero-sympathetic sensory actuators, medullary autonomic and respiratory subnuclei, and supramedullary autonomic nuclei. The majority of inputs lay within the brainstem (88 – 94%), and included putative respiratory neurons in the pre-Bötzinger Complex and post-inspiratory complex that are therefore likely to underlie respiratory-sympathetic coupling. We also discovered a substantial and previously unrecognized input from the region immediately ventral to nucleus prepositus hypoglossi. In contrast, RVLM sympathetic premotor neurons were only sparsely innervated by suprapontine structures including the paraventricular nucleus, lateral hypothalamus, periaqueductal grey and superior colliculus, and we found almost no evidence of direct inputs from the cortex or amygdala. Our approach can be used to quantify, standardize and share complete neuroanatomical datasets, and therefore provides researchers with a platform for presentation, analysis and independent analysis of connectomic data. Waxholm Rat Calculation TemplateThis template will help you to translate pixel co-ordinates of cells identified from microscopy images to Waxholm co-ordinates. In needs to be used in conjunction with the AlignNii image anchoring tool, which aligns 2d histological images in the 3d MRI Waxholm rat brain. Access to this tool can be requested from Jan Bjaalie (j.g.bjaalie@medisin.uio.no).Waxholm volumetric atlasThis is the zipped Imaris file that contains the Waxholm MRI dataset, the corresponding segmented dataset, the volumetric segmentation model and all of connectomic data from this paper.Dempsey 2016 RVLM Connectome Resource.zip
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 94visibility views 94 download downloads 20 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Embargo end date: 10 Nov 2016 EnglishPublisher:Dryad Funded by:ARC | Does size really matter? ...ARC| Does size really matter? Selection, constraints and allometryAuthors: Buechel, Severine D.; Booksmythe, Isobel; Kotrschal, Alexander; Jennions, Michael D.; +2 AuthorsBuechel, Severine D.; Booksmythe, Isobel; Kotrschal, Alexander; Jennions, Michael D.; Niclas, Kolm; Kolm, Niclas;doi: 10.5061/dryad.kp74v
Male harassment is a classic example of how sexual conflict over mating leads to sex-specific behavioural adaptations. Females often suffer significant costs from males attempting forced copulations, and the sexes can be in an arms race over male coercion. Yet, despite recent recognition that divergent sex-specific interests in reproduction can affect brain evolution, sexual conflict has not been addressed in this context. Here, we investigate whether artificial selection on a correlate of male success at coercion, genital length, affects brain anatomy in males and females. We analysed the brains of eastern mosquitofish (Gambusia holbrooki), which had been artificially selected for long or short gonopodium, thereby mimicking selection arising from differing levels of male harassment. By analogy to how prey species often have relatively larger brains than their predators, we found that female, but not male, brain size was greater following selection for a longer gonopodium. Brain subregion volumes remained unchanged. These results suggest that there is a positive genetic correlation between male gonopodium length and female brain size, which is possibly linked to increased female cognitive ability to avoid male coercion. We propose that sexual conflict is an important factor in the evolution of brain anatomy and cognitive ability. Data_Buechel et al. 2016. Artificial selection on male genitalia length alters female brain sizeFull data on total brain weight (mg) and the volumes (mm3) of brain substructures of gonopodium-selected mosquitofish (G.holbrooki).Dryad upload.xlsx
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 33visibility views 33 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2019Embargo end date: 09 Jan 2019 EnglishPublisher:Dryad Funded by:ARC | Understanding the evoluti...ARC| Understanding the evolutionary tempo and significance of the first animals through exceptional fossil preservationBicknell, Russell D. C.; Klinkhamer, Ada J.; Flavel, Richard J.; Wroe, Stephen; Paterson, John R.;doi: 10.5061/dryad.vs044
Limulus polyphemus, an archetypal chelicerate taxon, has interested both biological and paleontological researchers due to its unique suite of anatomical features and as a useful modern analogue for fossil arthropod groups. To assist the study and documentation of this iconic taxon, we present a 3D atlas on the appendage musculature, with specific focus on the muscles of the cephalothoracic appendages. As L. polyphemus appendage musculature has been the focus of extensive study, depicting the muscles in 3D will facilitate a more complete understanding thereof for future researchers. A large museum specimen was CT scanned to illustrate the major exoskeletal features of L. polyphemus. Micro-CT scans of iodine-stained appendages from fresh, non-museum specimens were digitally dissected to interactively depict appendage sections and muscles. This study has revealed the presence of two new muscles: one within the pushing leg, located dorsally relative to all other patella muscles, and the other within the male pedipalp, located in the modified tibiotarsus. This atlas increases accessibility to important internal and external morphological features of L. polyphemus and reduces the need for destructive fresh tissue dissection of specimens. Scanning, digitally dissecting, and documenting taxa in 3D is a pivotal step towards creating permanent digital records of life on Earth. Supplementary Figure 1Fig. S1: 3D interactive model of the complete Limulus polyphemus specimen, as modelled from CT-scanning.Fig._S1.pdfSupplementary Figure 2Fig. S2: 3D interactive model of the Limulus polyphemus chelicera, as modelled from iodine staining and micro-CT-scanning.Fig._S2.pdfSupplementary Figure 3Fig. S3: 3D interactive model of the Limulus polyphemus walking leg, as modelled from iodine staining and micro-CT-scanning.Fig._S3.pdfSupplementary Figure 4Fig. S4: 3D interactive model of the Limulus polyphemus male pedipalp, as modelled from iodine staining and micro-CT-scanning.Fig._S4.pdfSupplementary figure 5Fig. S5: 3D interactive model of the Limulus polyphemus pushing leg, as modelled from iodine staining and micro-CT-scanning.Fig._S5.pdfSupplementary Figure 6Fig. S6: 3D interactive model of the Limulus polyphemus chilaria, as modelled from iodine staining and micro-CT-scanning.Fig._S6.pdfSupplementary Figure 7Fig. S7: 3D interactive model of the Limulus polyphemus genital operculum, as modelled from iodine staining and micro-CT-scanning.Fig._S7.pdfSupplementary Figure 8Fig. S8: 3D interactive model of the Limulus polyphemus gill operculum, as modelled from iodine staining and micro-CT-scanning.Fig._S8.pdf
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.vs044&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 12visibility views 12 download downloads 206 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 16 Dec 2018 EnglishPublisher:Dryad Funded by:ARC | ARC Centres of Excellence..., ARC | Cognitive control of atte..., ARC | Discovery Projects - Gran...ARC| ARC Centres of Excellence - Grant ID: CE140100007 ,ARC| Cognitive control of attention and its role in regulating brain function in health and disease ,ARC| Discovery Projects - Grant ID: DP170100908Authors: Tang, Matthew F.; Smout, Cooper A.; Arabzadeh, Ehsan; Mattingley, Jason B.;Tang, Matthew F.; Smout, Cooper A.; Arabzadeh, Ehsan; Mattingley, Jason B.;doi: 10.5061/dryad.3d7kq
Predictive coding theories argue that recent experience establishes expectations in the brain that generate prediction errors when violated. Prediction errors provide a possible explanation for repetition suppression, where evoked neural activity is attenuated across repeated presentations of the same stimulus. The predictive coding account argues repetition suppression arises because repeated stimuli are expected, whereas non-repeated stimuli are unexpected and thus elicit larger neural responses. Here we employed electroencephalography in humans to test the predictive coding account of repetition suppression by presenting sequences of visual gratings with orientations that were expected either to repeat or change in separate blocks of trials. We applied multivariate forward modelling to determine how orientation selectivity was affected by repetition and prediction. Unexpected stimuli were associated with significantly enhanced orientation selectivity, whereas selectivity was unaffected for repeated stimuli. Our results suggest that repetition suppression and expectation have separable effects on neural representations of visual feature information. Participant 1 EEG dataParticipant 1 EEG dataP-1(Combinedcleaned).setParticipant 2 EEG dataP-2(Combinedcleaned).setParticipant 3 EEG dataP-3(Combinedcleaned).setParticipant 4 EEG dataP-4(Combinedcleaned).setParticipant 5 EEG dataP-5(Combinedcleaned).setParticipant 6 EEG dataP-6(Combinedcleaned).setParticipant 7 EEG dataP-7(Combinedcleaned).setParticipant 8 EEG dataP-8(Combinedcleaned).setParticipant 10 EEG dataP-10(Combinedcleaned).setParticipant 11 EEG dataP-11(Combinedcleaned).setParticipant 13 EEG dataP-13(Combinedcleaned).setParticipant 14 EEG dataP-14(Combinedcleaned).setParticipant 15 EEG dataP-15(Combinedcleaned).setParticipant 16 EEG dataP-16(Combinedcleaned).setParticipant 17 EEG dataP-17(Combinedcleaned).set
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.3d7kq&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 61visibility views 61 download downloads 57 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.3d7kq&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 13 Mar 2018 Spain EnglishPublisher:Dryad Funded by:EC | 100 Archaic Genomes, ARC | Australian Laureate Fello..., ARC | ARC Future Fellowships - ... +1 projectsEC| 100 Archaic Genomes ,ARC| Australian Laureate Fellowships - Grant ID: FL130100116 ,ARC| ARC Future Fellowships - Grant ID: FT140100384 ,ARC| ARC Future Fellowships - Grant ID: FT150100138Slon, Viviane; Hopfe, Charlotte; Weiss, Clemens L.; Mafessoni, Fabrizio; de la Rasilla, Marco; Lalueza-Fox, Carles;doi: 10.5061/dryad.m2dk7
handle: 10261/278288
Although a rich record of Pleistocene human-associated archaeological assemblages exists, the scarcity of hominin fossils often impedes the understanding of which hominins occupied a site. Using targeted enrichment of mitochondrial DNA we show that cave sediments represent a rich source of ancient mammalian DNA that often includes traces of hominin DNA, even at sites and in layers where no hominin remains have been discovered. By automation-assisted screening of numerous sediment samples we detect Neandertal DNA in eight archaeological layers from four caves in Eurasia. In Denisova Cave we retrieved Denisovan DNA in a Middle Pleistocene layer near the bottom of the stratigraphy. Our work opens the possibility to detect the presence of hominin groups at sites and in areas where no skeletal remains are found. Multiple sequence alignment files This submission contains multiple sequence alignment files used for phylogenetic reconstructions. Sequences reconstructed from sediments are denominated by the site and layer of origin. The comparative data (identical in all files) is identified by the name of the individual and the accession code of its mtDNA sequence. MSA_sedimentDNA.zip Peer reviewed
DRYAD; ZENODO; NARCI... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . 2018 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.m2dk7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 33visibility views 33 download downloads 4 Powered bymore_vert DRYAD; ZENODO; NARCI... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICDataset . 2022 . 2018 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.m2dk7&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017Embargo end date: 22 Dec 2017 EnglishPublisher:Dryad Funded by:ARC | Plasticity in the periphe..., ARC | The role of synapse devel...ARC| Plasticity in the periphery: how sensory experience modulates the sense of smell ,ARC| The role of synapse development in cognitive disorderNouvian, Morgane; Mandal, Souvik; Jamme, Charlène; Claudianos, Charles; d'Ettorre, Patrizia; Reinhard, Judith; Barron, Andrew B.; Giurfa, Martin;doi: 10.5061/dryad.rj10c
The defence of a society often requires that some specialized members coordinate to repel a threat at personal risk. This is especially true for honeybee guards, which defend the hive and may sacrifice their lives upon stinging. Central to this cooperative defensive response is the sting alarm pheromone, which has isoamyl acetate (IAA) as its main component. Although this defensive behaviour has been well described, the neural mechanisms triggered by IAA to coordinate stinging have long remained unknown. Here we show that IAA upregulates brain levels of serotonin and dopamine, thereby increasing the likelihood of an individual bee to attack and sting. Pharmacological enhancement of the levels of both amines induces higher defensive responsiveness, while decreasing them via antagonists decreases stinging. Our results thus uncover the neural mechanism by which an alarm pheromone recruits individuals to attack and repel a threat, and suggest that the alarm pheromone of honeybees acts on their response threshold rather than as a direct trigger. Data coloniesRaw data supporting the information presented in Figure 1.Data individualsRaw data supporting the information presented in Figures 2 and 3Data pharmacoRaw data supporting the information presented in Figure 4
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.rj10c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 10visibility views 10 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.rj10c&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017Embargo end date: 10 Apr 2017 EnglishPublisher:Dryad Funded by:ARC | Discovery Projects - Gran..., ARC | Decoding the neural repre...ARC| Discovery Projects - Grant ID: DP160101300 ,ARC| Decoding the neural representation of objects in the human brainAuthors: Goddard, Erin; Solomon, Samuel G.; Carlson, Thomas A.;Goddard, Erin; Solomon, Samuel G.; Carlson, Thomas A.;doi: 10.5061/dryad.6f8f0
The middle-temporal area (MT) of primate visual cortex is critical in the analysis of visual motion. Single-unit studies suggest that the response dynamics of neurons within area MT depend on stimulus features, but how these dynamics emerge at the population level, and how feature representations interact, is not clear. Here, we used multivariate classification analysis to study how stimulus features are represented in the spiking activity of populations of neurons in area MT of marmoset monkey. Using Representational Similarity Analysis (RSA) we distinguished the emerging representations of moving grating and dot field stimuli. We show that representations of stimulus orientation, spatial frequency and speed are evident near the onset of the population response, while the representation of stimulus direction is slower to emerge and sustained throughout the stimulus-evoked response. We further found a spatiotemporal asymmetry in the emergence of direction representations. Representations for high spatial frequencies and low temporal frequencies are initially orientation-dependent, while those for high temporal frequencies and low spatial frequencies are more sensitive to motion direction. Our analyses reveal a complex interplay of feature representations in area MT population response that may explain the stimulus-dependent dynamics of motion vision. Multivariate classifier performance: moving dot field stimuliMultivariate classifier performance (proportion correct) when discriminating moving dot field stimuli (varying in direction and speed) based on multi electrode recordings from marmoset area MT. All data is stored in Matlab data (.mat) files that were created with Matlab 2013a.Moving_dot_field_classification_performance.matSpike counts: moving dot field stimuliSpike counts for each electrode from marmoset area MT recorded while the anaesthetised animal was shown moving dot field stimuli. All data is stored in Matlab data (.mat) files that were created with Matlab 2013a.Moving_dot_field_spike_counts.zipMultivariate classifier performance: moving grating stimuliMultivariate classifier performance (proportion correct) when discriminating moving grating stimuli (varying in direction and speed) based on multi electrode recordings from marmoset area MT. All data is stored in Matlab data (.mat) files that were created with Matlab 2013a.Moving_grating_classification_performance.matSpike counts: moving grating stimuliSpike counts for each electrode from marmoset area MT recorded while the anaesthetised animal was shown moving dot field stimuli. All data is stored in Matlab data (.mat) files that were created with Matlab 2013aMoving_grating_spike_counts.zip
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.6f8f0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 16visibility views 16 download downloads 5 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.6f8f0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017Embargo end date: 14 Feb 2017 EnglishPublisher:Dryad Funded by:ARC | Mapping the connectome th..., EC | HBP, NHMRC | Reduced baroreceptor refl... +1 projectsARC| Mapping the connectome that controls blood pressure ,EC| HBP ,NHMRC| Reduced baroreceptor reflex control of heart rate in chronic renal failure ,EC| HBP SGA1Dempsey, Bowen; Le, Sheng; Turner, Anita; Bokiniec, Phill; Ramadas, Radhika; Bjaalie, Jan G.; Menuet, Clement; Neve, Rachael; Allen, Andrew; Goodchild, Ann; McMullan, Simon; Bokiniec, Phil; Goodchild, Ann K.; Allen, Andrew M.;doi: 10.5061/dryad.q5t5s
Spinally projecting neurons in the rostral ventrolateral medulla (RVLM) play a critical role in the generation of vasomotor sympathetic tone and are thought to receive convergent input from neurons at every level of the neuraxis; the factors that determine their ongoing activity remain unresolved. In this study we use a genetically restricted viral tracing strategy to definitively map their spatially diffuse connectome. We infected bulbospinal RVLM neurons with recombinant rabies variant that drives reporter expression in monosynaptically connected input neurons and mapped their distribution using a MRI-based volumetric atlas and a novel image alignment and visualization tool that efficiently translates the positions of neurons captured in conventional photomicrographs to Cartesian coordinates. We identified prominent inputs from well-established neurohumoral and viscero-sympathetic sensory actuators, medullary autonomic and respiratory subnuclei, and supramedullary autonomic nuclei. The majority of inputs lay within the brainstem (88 – 94%), and included putative respiratory neurons in the pre-Bötzinger Complex and post-inspiratory complex that are therefore likely to underlie respiratory-sympathetic coupling. We also discovered a substantial and previously unrecognized input from the region immediately ventral to nucleus prepositus hypoglossi. In contrast, RVLM sympathetic premotor neurons were only sparsely innervated by suprapontine structures including the paraventricular nucleus, lateral hypothalamus, periaqueductal grey and superior colliculus, and we found almost no evidence of direct inputs from the cortex or amygdala. Our approach can be used to quantify, standardize and share complete neuroanatomical datasets, and therefore provides researchers with a platform for presentation, analysis and independent analysis of connectomic data. Waxholm Rat Calculation TemplateThis template will help you to translate pixel co-ordinates of cells identified from microscopy images to Waxholm co-ordinates. In needs to be used in conjunction with the AlignNii image anchoring tool, which aligns 2d histological images in the 3d MRI Waxholm rat brain. Access to this tool can be requested from Jan Bjaalie (j.g.bjaalie@medisin.uio.no).Waxholm volumetric atlasThis is the zipped Imaris file that contains the Waxholm MRI dataset, the corresponding segmented dataset, the volumetric segmentation model and all of connectomic data from this paper.Dempsey 2016 RVLM Connectome Resource.zip
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.q5t5s&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 94visibility views 94 download downloads 20 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5061/dryad.q5t5s&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Embargo end date: 10 Nov 2016 EnglishPublisher:Dryad Funded by:ARC | Does size really matter? ...ARC| Does size really matter? Selection, constraints and allometryAuthors: Buechel, Severine D.; Booksmythe, Isobel; Kotrschal, Alexander; Jennions, Michael D.; +2 AuthorsBuechel, Severine D.; Booksmythe, Isobel; Kotrschal, Alexander; Jennions, Michael D.; Niclas, Kolm; Kolm, Niclas;doi: 10.5061/dryad.kp74v
Male harassment is a classic example of how sexual conflict over mating leads to sex-specific behavioural adaptations. Females often suffer significant costs from males attempting forced copulations, and the sexes can be in an arms race over male coercion. Yet, despite recent recognition that divergent sex-specific interests in reproduction can affect brain evolution, sexual conflict has not been addressed in this context. Here, we investigate whether artificial selection on a correlate of male success at coercion, genital length, affects brain anatomy in males and females. We analysed the brains of eastern mosquitofish (Gambusia holbrooki), which had been artificially selected for long or short gonopodium, thereby mimicking selection arising from differing levels of male harassment. By analogy to how prey species often have relatively larger brains than their predators, we found that female, but not male, brain size was greater following selection for a longer gonopodium. Brain subregion volumes remained unchanged. These results suggest that there is a positive genetic correlation between male gonopodium length and female brain size, which is possibly linked to increased female cognitive ability to avoid male coercion. We propose that sexual conflict is an important factor in the evolution of brain anatomy and cognitive ability. Data_Buechel et al. 2016. Artificial selection on male genitalia length alters female brain sizeFull data on total brain weight (mg) and the volumes (mm3) of brain substructures of gonopodium-selected mosquitofish (G.holbrooki).Dryad upload.xlsx
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 33visibility views 33 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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