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1,952 results for “actionality”
ERP evidence of embodiment of action-verbs at lexical stages in L1 and L2
<p>EEG data for the article : Britz J., Collaud E., Jost L., Sato S., Bugnon A., Mouthon M. and Annoni JM. ERP evidence of embodiment of action-verbs at lexical stages in L1 and L2. Brain sciences 2024</p> <p>The data used in the study were organized using the Brain Imaging Data Structure (BIDS) (Gorgolewski, K., Auer, T., Calhoun, V. et al., 2016) with the extension for EEG data (Pernet, C.R., Appelhoff, S., Gorgolewski, K.J. et al., 2019).</p> <p> </p> <p>.....</p>
Data set: Can Stephen Curry really know? - Conscious access to outcome prediction of motor actions
<p>Data set associated with the following pre-print:</p> <p>Can Stephen Curry really know? - Conscious access to outcome prediction of motor actions. bioRxiv: 2021.03.30.437477</p>
Extension of the Action Verb Corpus (AVCext)
<p>Extension of the Action Verb Corpus (AVCext)</p> <p>The extension to the <a href="https://zenodo.org/record/5140014#.YQAkEjqxWEI">Action Verb Corpus</a> consists of 41 recordings conducted by 2 users experienced with the system performing the same three actions as in AVC — <strong>take</strong> (208 instances), <strong>put</strong> (208 instances), and <strong>push</strong> (91 instances). The actions were performed without any instructions. The focus of the extension is to facilitate action recognition. In comparison to AVC, no speech-related information is annotated in the extension dataset. The other ELAN annotations available with AVC are also available for the extension dataset. Additionally, the <strong>actions are annotated in two degrees of granularity. Coarse labels are: take, put and push. Fine labels split the motion into more granular motion primitives: reach, grab, moveObject, and place.</strong> These annotations are available as eaf (ELAN) files, csv files and as two separate columns in the Merged files. Details about the collected data can be found in <a href="https://www.researchgate.net/profile/Stephanie-Gross-schreitter/publication/326640788_Extension_of_the_Action_Verb_Corpus_for_Supervised_Learning/links/5be2a5c3299bf1124fc09f40/Extension-of-the-Action-Verb-Corpus-for-Supervised-Learning.pdf">Matthias Hirschmanner, Stephanie Gross, Brigitte Krenn, Friedrich Neubarth, Martin Trapp and Markus Vincze: Extension of the Action Verb Corpus for Supervised Learning. ARW 2018.</a></p> <p>The dataset consists of the following information:</p> <ul> <li>the merged output of the hand and object trackers (AVCExtension_Merged.zip, one csv file per episode/recording) <ul> <li>HandID: 0 right, 1 left</li> <li>FingerID: 0 thumb, 1 index, 2 middle, 3 ring, 4 pinky</li> <li>BoneID: 0 metacarpal, 1 proximal, 2 intermediate, 3 distal</li> </ul> </li> <li>the output of the object trackers, including the object poses and their reliability estimate calculated by the object tracker, whether an object is touched by or is in the hand of the instructor and whether the object touches the table, for the coordinate system applied see picture "coord_system.png (AVCExtension_Objects.zip, one csv file per episode/recording),</li> <li>the videos from Leap Motion showing the hand movements and objects<br> (AVCExtension_video_libm.zip, one avi file per episode/recording),</li> <li>animation of the merged hand and object tracking<br> (AVCExtension_video_schematic.zip, one avi file per episode/recording),</li> <li>the following list of annotations synchronized with the real-time animation of the hand and object tracking (available as <a href="https://tla.mpi.nl/tools/tla-tools/elan/">ELAN</a> files AVCExtension_Annotations_eaf.zip, and csv files AVCExtension_Annotations_csv.zip, one file per episode/recording) <ul> <li>information which object is currently moved, and where it is moved to (automatically annotated),</li> <li>information whether a hand touches a particular object (manually annotated),</li> <li>information whether a particular object touches the ground/table (automatically annotated),</li> <li>coarse-grained annotation: take, put, push (manually annotated),</li> <li>fine-grained annotation: reach, grab, moveObject, and place (manually annotated),</li> <li>position of the objects in the scene (automatically calculated from output of object tracker)</li> </ul> </li> </ul> <p>Acknowledgments</p> <p>Corpus creation and annotation was supported by the <a href="http://www.wwtf.at/">WWTF</a> project <a href="http://ralli.ofai.at/home.html"> RALLI</a>. The dataset was recorded at <a href="https://www.acin.tuwien.ac.at">ACIN, TUW</a>.</p>
SOILCARE_WP_7_D7.2_Adoption factors and policy actions
<p>Dataset accompanying D7.2: “Report on the selection of good policy alternatives at EU and study site level”. The file provides data collected from stakeholders at the European level as well as at national, regional and local level within the 16 SoilCare study site countries. The data set provides stakeholder views on factors enabling and hampering the uptake of Soil Improving Cropping Systems as well as actions to facilitate their adoption. The methodology for collecting the data is detailed in D7.2 available at <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.soilcare-project.eu%2Fresources%2Fdeliverables&data=04%7C01%7CMelanie.Muro%40milieu.be%7Cf7dfe7d3270749a707f008d95ca21180%7C3c6af27b55264b71983fbcaca8bf2b0b%7C0%7C0%7C637642673432698641%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=vvJUvwtnIu2DXzu1DTLD56g4sg%2F5kRwJbMWDl5BE8os%3D&reserved=0">https://www.soilcare-project.eu/resources/deliverables</a>.</p>
Text-fig. 7. a. Worn section through a horizontally bedded body-chamber and phragmocone, body-chamber showing oyster attached to inside of aperture as well as burrow mottling. Tape measure provides scale. b. Body-chamber and crushed phragmocone with body-chamber and phragmocone entirely filled with bioturbated matrix containing stringers of crinoid and molluscan debris. Flank of phragmocone encrusted by oysters. Tape measure for scale. c. Complex of Thallassinoides and Diplocraterion burrows associated with conch that has been eroded out by wave action. A few 'Ghostly' fragments of ammonite are also present. Original scope of the image approximately 400 mm. c. Verically embedded conch with largely intact septa and camera infilled with burrowed matrix containing crinoid debris. Tape measure for scale. in 'Cenoceras Islands' In The Blue Lias Formation (Lower Jurassic) Of West Somerset, Uk: Nautilid Dominance And Influence On Benthic Faunas
Text-fig. 7. a. Worn section through a horizontally bedded body-chamber and phragmocone, body-chamber showing oyster attached to inside of aperture as well as burrow mottling. Tape measure provides scale. b. Body-chamber and crushed phragmocone with body-chamber and phragmocone entirely filled with bioturbated matrix containing stringers of crinoid and molluscan debris. Flank of phragmocone encrusted by oysters. Tape measure for scale. c. Complex of Thallassinoides and Diplocraterion burrows associated with conch that has been eroded out by wave action. A few 'Ghostly' fragments of ammonite are also present. Original scope of the image approximately 400 mm. c. Verically embedded conch with largely intact septa and camera infilled with burrowed matrix containing crinoid debris. Tape measure for scale.
METADATA: Marie Skłodowska-Curie Action, DADA2GT, Project Number: 841780
<p>This repository contains the data generated through the Marie Skłodowska-Curie Action DADA2GT (Project Number: 841780) entitled "Development of gene therapy and genome editing strategies to treat adenosine deaminase 2 deficiency." All the data are stored as .cvs files. The results of the Action have been included in the publication entitled "Lentiviral correction of enzymatic activity restrains macrophage inflammation in adenosine deaminase 2 deficiency" published in the open-access journal Blood Advances and available at https://doi.org/10.1182/bloodadvances.2020003811 and Zenodo.</p>
Agonistic Rabbit Action Detection/Classification
<p>Sample data for rabbit doe behavior analysis in group housing.</p> <p>'Raw Video Files' contains 6 hours of continuous video from Camera 1 (6 video files spearated 1h each). </p> <p>'Action Clips' contains segmented agonistic action clips from the raw video files (Camera 1, 6hours only).</p> <p>'COCO Annotations - Rabbits' contains images and the COCO format annotations used to train Keypoint RCNN model.</p> <p>'Model Weights' contains final ANN model weights for both Keypoint RCNN model and Resnet50 (re-identification) model.</p> <p>'Camera 1 - 6h - Agonistic Behaviors' contains agonistic action detections for 6 hours in Camera 1. </p> <p>'<a href="https://zenodo.org/api/files/7ea85db4-619e-4e69-8c12-e08b53c3ee84/Tracker_Cam_11_Action_18.mp4">Tracker_Cam_11_Action_18.mp4</a>' is a random sample of tracked group-housed rabbits.</p>
Cooperative action of separate interaction domains promotes high-affinity DNA binding of Arabidopsis thaliana ARF transcription factors
<p>The repository contains the smFRET and SAXS data presented in the preprint https://doi.org/10.1101/2022.11.16.516730 (BioRxiv)</p>
Test-particle simulations for "Quantifying the influence of bars on action-based dynamical modelling of disc galaxies"
<p>This contains the test-particle simulations of barred galaxies with varying bar properties (bar strength, pattern speed) which have been used in the manuscript "Quantifying the influence of bars on action-based dynamical modelling of disc galaxies" by Ghosh, S., Trick, W. H., Green G. M. (2022).</p> <p>For details for the datasets, please see the README.md file.</p> <p>For any further information, please feel free to contact Ghosh, Soumavo (ghosh@mpia.de).</p> <p> </p>
Synaptic gradients transform object location to action: data and outputs
<p>Data an outputs associated with the following article:</p> <p>Dombrovski, M., Peek, M.Y., Park, JY. <em>et al.</em> Synaptic gradients transform object location to action. <em>Nature (2023)</em>. <a href="https://doi.org/10.1038/s41586-022-05562-8">https://doi.org/10.1038/s41586-022-05562-8</a></p> <p>and the following software:</p> <p><a href="https://github.com/avaccari/DrosophilaVPNWiring">https://github.com/avaccari/DrosophilaVPNWiring</a></p>
Figure 7.2 of IPCC-IPBES report - The effects of actions to mitigate climate changes on action to mitigate biodiversity and of actions to mitigate biodiversity loss on actions to mitigate climate change
<p>Here are the underlying data and codes for Figure 7.2 of the IPCC-IPBES report (https://doi.org/10.5281/zenodo.4659158)<br> </p> <p>We decide to represent only the recognized links (positive and negative) in Figure 7.2. The table1 file represents these relationships. If you decide to represent the non-recognized interactions (gray), you should use the table2 file and re-divide it in the code.</p> <p>The code produces the Sankey diagram, which was used to produce Figure 7.2. The order of the nodes was organized manually to represent better the Chapter 7 discussion. After that, you can export the figure and work in an external program.</p> <p>The final figure was produced using PowerPoint and with labels and icons inserted manually. </p>
Gas-phase electronic action absorption spectra of protonated oxygen-functionalized polycyclic aromatic hydrocarbons (OPAHs)
<p>The dataset for the article:<br> Gas-phase electronic action absorption spectra of protonated oxygen-functionalized polycyclic aromatic hydrocarbons (OPAHs)</p> <p>Authors:<br> Anne P. Rasmussen, Gabi Wenzel, Liv Hornekær, and Lars H. Andersen</p> <p>DOI:<br> 10.1051/0004-6361/202346003</p> <p>Journal:<br> A&A</p> <p>#--------------------------------------------------------------------------------------</p> <p>Folders:<br> - Fig3_action_spectra contains the action spectra data for all five molecules (Fig. 3)<br> - Fig4_histograms contains the histograms for all five molecules (Fig. 4)<br> - Fig5_daughtermass_spectra contains the daughter mass data for pentacenequinone and phenanthrenequinone (Fig. 5)<br> - FigB1_photon_dependence contains the photon dependence data for all five molecules (Fig. B1)</p> <p>#--------------------------------------------------------------------------------------</p> <p>This work has been supported by the Danish National Research Foundation through the Center of Excellence “InterCat” (Grant Agreement no.: DNRF150).</p>
IMPETUS - Turning Climate Commitments into Action
<p> </p> <p>A call to action video to launch the climate IMPETUS project and to promote it online and at events.</p>
Listening is Action: A Soundwalk with Hildegard Westerkamp
<p>In the sound documentary <em>Listening is Action</em>, the composer Hildegard Westerkamp engages in a conversation with Luis Velasco-Pufleau at her home in the city of Vancouver, which is situated on the traditional, ancestral, and unceded territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) Nations. She talks us through her first field recordings and her soundwalking practice, her work at the Vancouver Co-operative Radio, and her participation in the World Soundscape Project, all of which started or took place in the 1970s. Furthermore, she takes us on soundwalks at places she used to go and record more than thirty years ago, such as those now called Kitsilano Beach and Vancouver’s Downtown Eastside, and that constitute the sources for her soundscape works <em>A Walk Through the City</em> (1981) and <em>Kits Beach Soundwalk</em> (1989). This sound documentary is an invitation to listen more attentively to the multiple voices that inhabit our environments in order to imagine new, plural, and unforeseen realities.</p> <p><em>Listening is Action</em> was narrated by Hildegard Westerkamp, produced, recorded, and edited by Luis Velasco-Pufleau, with music by Hildegard Westerkamp, mixing by Christophe Rault, and lead voice by Chanda VanderHart. This sound work was part of the research project <a href="https://msc.hypotheses.org/ontomusic">ONTOMUSIC</a>, led by Luis Velasco-Pufleau and conducted at the University of Bern and McGill University. It was financially supported by the European Union’s Horizon 2020 research and innovation programme, under the Marie Skłodowska-Curie grant agreement No. <a href="https://doi.org/10.3030/101027828">101027828</a>.</p> <p><em>Listening is Action</em> was recorded in the city of Vancouver, which is situated on the traditional, ancestral, and unceded territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) Nations. The authors acknowledge the inherent rights and jurisdiction that these Nations hold to their territories.</p>
Dataset Non-shared coding of observed and executed actions prevails in macaque ventral premotor mirror neurons
<p>This dataset is related to "Non-shared coding of observed and executed actions prevails in macaque ventral premotor mirror neurons".</p>
Large positive ecological changes of small urban greening actions
<p><strong>Updated data and R codes associated with our article <em>Large positive ecological changes of small urban greening actions</em>:</strong></p> <p><strong>Ecological Solutions and Evidence</strong></p> <p><strong>Abstract</strong></p> <p>The detrimental effects of human-induced environmental change on people and other species are acutely manifested in urban environments. While urban greenspaces are known to mitigate these effects and support functionally diverse ecological communities, evidence of the ecological outcomes of urban greening remains scarce. We use a longitudinal observational design to provide empirical evidence of the ecological benefits of greening actions. We show how a small greening action quickly led to large positive changes in the richness, demographic dynamics, and network structure of a depauperate insect community. We demonstrate how large ecological benefits may be derived from investing in small greening actions and how these contribute to bring indigenous species back to greenspaces where they have become rare or locally extinct. Our findings provide crucial evidence that support best practice in greenspace design and contribute to re-invigorate policies aimed at mitigating the negative impacts of urbanisation on people and other species. </p>
Datasets for "Update on our action plan for equity, inclusion, and diversity in publishing at JGR: Biogeosciences"
<p>Datasets supporting "Update on our action plan for equity, inclusion, and diversity in publishing at JGR: Biogeosciences." These files provide summary data on submissions to AGU journals between 2018 and 2022. They also include decision data for manuscripts submitted to AGU journals with a decision made between 2018 and 2021. Summary data are presented in compliance with AGU's Privacy Policy, https://www.agu.org/Privacy-Policy</p>
Interactive recommendations and action list for technical report from the UKRI Net Zero DRI Scoping Project
<p>The UKRI Net Zero DRI Scoping Project produced evidence-based recommendations. This dataset provides an interactive way to list all of the recommendations and actions from the project. These files have been provided to show the mapping and links between the specific recommendations and the different strategic themes and roadmap actions proposed by the project. </p> <p>Three file formats have been provided for ease of use: Excel, PDF, CSV. The recommendations, if opened in a spreadsheet, can be sorted or filtered based on a range of interest areas e.g. type of evidence, delivery pathway, strategic theme, delivery year. </p> <p>There are two tabs in the spreadsheet. The first tab shows the recommendations discussed in the 'toolkit' section of the project's final technical report. The second tab shows actions discussed in the 'roadmap' section of the report.</p> <p>For full details about the evidence that underpins these recommendations, please see technical report found here: <a href="https://doi.org/10.5281/zenodo.8199984">https://doi.org/10.5281/zenodo.8199984</a> </p> <p>The authors cited here are those who produced the files uploaded. Many other contributors are named in the technical report and is a synthesis of their work. Please also cite the technical report if you use this dataset. </p>
Embodiment of action-related language in the native and a late foreign language – An fMRI-study
<p>Theories of embodied cognition postulate that language processing activates similar sensory-motor structures as<br> when interacting with the environment. Only little is known about the neural substrate of embodiment in a<br> foreign language (L2) as compared to the mother tongue (L1). In this fMRI study, we investigated embodiment of<br> motor and non-motor action verbs in L1 and L2 including 31 late bilinguals. Half had German as L1 and French as<br> L2, and the other half vice-versa. We collapsed across languages to avoid the confound between language and<br> order of language acquisition. Region of interest analyses showed stronger activation in motor regions during L2<br> than during L1 processing, independently of the motor-relatedness of the verbs. Moreover, a stronger involvement<br> of motor regions for motor-related as compared to non-motor-related verbs, similarly for L1 and L2, was<br> found. Overall, the similarity between L1 and L2 embodiment seems to depend on individual and contextual<br> factors.</p>
Computational mechanisms underlying latent value updating of unchosen actions
<p><span>Current studies suggest that individuals estimate the value of their choices based on observed feedback. Here, we ask whether individuals also update the value of their unchosen actions, even when the associated feedback remains unknown. </span><span>One hundred and seventy-eight</span><span> individuals completed a multi-armed bandit task, making choices to gain rewards. We found robust evidence suggesting latent value updating of unchosen actions based on the chosen action's outcome. Computational modeling results suggested that this effect is mainly explained by a value updating mechanism whereby individuals integrate the outcome history for choosing an option with that of rejecting the alternative. Properties of the deliberation (i.e., duration/difficulty) did not moderate the latent value updating of unchosen actions, suggesting that memory traces generated during deliberation might take a smaller role in this specific phenomenon than previously thought. We discuss the mechanisms facilitating credit assignment to unchosen actions and their implications for human decision-making.</span></p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.