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1,952 results for “actionality”
Figure 2 in Actionable, long-term stable and semantic web compatible identifiers for access to biological collection objects
Figure 2. Basic redirection mechanisms. Human users are redirected to a human-readable web-representation of the specimens. Software systems are re-directed to a machine-readable metadata record.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH. in Deep learning brings speed, accuracy to the life sciences.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH.
Integrating Data Quality in Industrial Big Data Architectures: an Action Design Research Study
<p>This dataset includes the results of the ATAM analysis and the summary of the ADR process. </p>
Dataset_Convergence_in_action
<p>The Replication package contains the dataset and do_file used to create the tables and graphs included in the article ‘Convergence in action: framing the climate crisis at the 2021 Pre-COP counter-summit in Milan’ published in European Societies.</p>
The University of Stavanger CoARA Action Plan 2024-2027
<p>As signatory to the CoARA Agreement the ARRAV Action Plan is available by The University of Stavanger, Norway. The plan clarifies how the univesity intend to fulful the core commitements of the agreement from 2024 until 2027. </p>
The University of Stavanger CoARA Action Plan 2024-2027
<p>As signatory to the CoARA Agreement the ARRAV Action Plan is available by The University of Stavanger, Norway. The plan clarifies how the univesity intend to fulful the core commitements of the agreement from 2024 until 2027. </p>
AURORA: Learning Action and Reasoning-Centric Image Editing from Videos and Simulations
<p>Dataset for the publication "Learning Action and Reasoning-Centric Image Editing from Videos and Simulations".</p> <p>Details to fully use the dataset: https://github.com/McGill-NLP/AURORA</p> <p> </p> <p>Abstract:</p> <p>An image editing model should be able to perform diverse edits, ranging from object replacement, changing attributes or style, to performing actions or movement, which require many forms of reasoning. Current <em>general</em> instruction-guided editing models have significant shortcomings with action and reasoning-centric edits. Object, attribute or stylistic changes can be learned from visually static datasets. On the other hand, high-quality data for action and reasoning-centric edits is scarce and has to come from entirely different sources that cover e.g. physical dynamics, temporality and spatial reasoning. To this end, we meticulously curate the <strong>A</strong>U<strong>RO</strong>R<strong>A</strong> Dataset (<strong>A</strong>ction-<strong>R</strong>easoning-<strong>O</strong>bject-<strong>A</strong>ttribute), a collection of high-quality training data, human-annotated and curated from videos and simulation engines. We focus on a key aspect of quality training data: triplets (source image, prompt, target image) contain a single meaningful visual change described by the prompt, i.e., <em>truly minimal</em> changes between source and target images. To demonstrate the value of our dataset, we evaluate an <strong>A</strong>U<strong>RO</strong>R<strong>A</strong>-finetuned model on a new expert-curated benchmark (<strong>A</strong>U<strong>RO</strong>R<strong>A-Bench</strong>) covering 8 diverse editing tasks. Our model significantly outperforms previous editing models as judged by human raters. For automatic evaluations, we find important flaws in previous metrics and caution their use for semantically hard editing tasks. Instead, we propose a new automatic metric that focuses on discriminative understanding. We hope that our efforts : (1) curating a quality training dataset and an evaluation benchmark, (2) developing critical evaluations, and (3) releasing a state-of-the-art model, will fuel further progress on general image editing.</p>
Public social actions
Open the record for dataset details and reuse information.
Medium spiny neuron electrophysiological properties across male rats and female rats in different estrous cycle phases in the nucleus accumbens core: Excitatory synaptic input, action potential, and intrinsic properties
<p>This dataset presents electrophysiological properties from whole-cell patch clamped nucleus accumbens core medium spiny neurons from male rats and female rats recorded in different estrous cycle phases. Excitatory synaptic input, action potential, and intrinsic properties are presented in an analyzed format, as well as the original electrophysiological recordings of each neuron. These data were originally presented across two different papers (Proaño et al., 2018, 2020) and further analyzed in an additional paper (Long et al., 2024), all of which are cited below. These data were key for establishing that nucleus accumbens neuron electrical function changed across the estrous cycle in response to its associated hormones, programming a phase-dependent sex difference in adulthood. This finding provided a new framework for understanding how biological sex and hormone cyclicity regulate the neurons implicated in motivated behaviors and related functions and disorders.</p>
SDGs Action Model in Proverty Alleviation in Village Communities
<p>This material has presented on 2nd International Conference on Advance Research in Social and Economic Science in October 25, 2023.</p>
The conformational plasticity of structurally unrelated lipid transport proteins correlates with their mode of action
<p>Supporting DATA files for "Conformational plasticity of structurally unrelated lipid transport proteins correlates with their mode of action".</p> <ol> <li><strong>zenodo_simulation_starting_files_and_result_pdbs.zip</strong> contains input files for atomistic and coarse-grained MD simulations, membrane binding interface results from coarse-grained simulations, and apo-like and holo-like conformations of lipid transfer domains arising from clustering of atomistic simulations</li> <li><strong>zenodo_data_and_codes.zip </strong>contains the raw data and/or scripts used for the analysis of the figures of the paper as well as a README file explaining the contents. The figure caption in the manuscript indicates the folder name that contains data relevant to that particular figure. <p>The trajectories have not been uploaded here, in case you are interested, please ask the corresponding author (stefano.vanni@unifr.ch).</p> </li> </ol> <p> </p>
Evaluating Test Quality in GitHub Repositories: A Comparative Analysis of CI/CD Practices Using GitHub Actions
Open the record for dataset details and reuse information.
Experimental Results for the SoCS 2024 Paper: "Modeling Assistance for Hierarchical Planning: An Approach for Correcting Hierarchical Domains with Missing Actions"
<p>This collection contains all the experimental results produced in the empirical evaluation for the paper "Modeling Assistance for Hierarchical Planning: An Approach for Correcting Hierarchical Domains with Missing Actions", accepted by The 17th International Symposium on Combinatorial Search (SoCS 2024). For a detailed description about this collection, please read the README file. </p>
EU and EU Member States' Democracy Support Actions (2010-2022). REDEMOS Dataset 2.5.
<p><strong><u>Dataset 1: EU Democracy Support Actions</u></strong><strong> </strong></p> <p>This dataset comprises democracy support actions conducted by the European Union towards the eastern neighbourhood countries (Armenia, Azerbaijan, Belarus, Georgia, Moldova, and Ukraine) from 2010 to 2022. It includes projects that began earlier but continued or concluded after 2010. Data for 414 projects were collected from official documents, archives, and websites. The projects are categorized by individual countries and joint initiatives, offering detailed explanations of each project’s approach, objectives, domestic challenges, and opportunities.</p> <p><strong><u>Dataset 2: EU Member States' Democracy Support Actions</u></strong></p> <p>The dataset comprises democracy support actions conducted by seven EU member states towards the eastern neighbourhood countries from 2010 to 2022. It includes projects sourced from the OECD ODA databases (https://stats.oecd.org/qwids/) and covers the three largest projects by funding volume from the Government and Civil Society and Education sectors provided by seven EU member states: Germany, Sweden, Romania, Poland and the three Baltic states (Estonia, Latvia and Lithuania) to six EU eastern neighbourhood countries: Armenia, Azerbaijan, Belarus, Georgia, Moldova, and Ukraine.</p>
Supplementary material 1 from: Maes J, Liekens I, Brown C (2018) Which questions drive the Mapping and Assessment of Ecosystems and their Services under Action 5 of the EU Biodiversity Strategy? One Ecosystem 3: e25309. https://doi.org/10.3897/oneeco.3.e25309
This supplement contains three tables with policy (Table1), business (Table 2) and societal (Table 3) questions.
Response-coordination-Joint action
<p>The data presented here are reported in Ciardo & Wykowska 2018. <br> Please refer to that paper for context and method. We intend to upload the raw data shortly, which until then will be available upon request.</p> <p>Tabs: <br> MeanRTs:Correct mean reaction times as a function of Quartile in milliseconds.<br> SequenceMeanRTs:Correct mean reaction times as a function of trial-by-trial effects in milliseconds.<br> RTsTimeseries: Reaction times timeseries to compute %response coordination.<br> MixedModelsData:Correct mean reaction times and % response coordination.</p> <p>Reference: <br> Ciardo, F., & Wykowska, A. (2018). Response coordination emerges in cooperative but not competitive joint task. Frontiers in Psychology. doi: 10.3389/fpsyg.2018.01919.<br> </p>
Dataset from: "Separate and combined effects of action relevance and motivational value on visual working memory"
<p>Dataset from the following publication:</p> <p>Heuer, A., & Schubö, A. (2018). Separate and combined effects of action relevance and motivational value on visual working memory. <em>Journal of Vision, 18</em>, 14.</p>
Key SOILL actions to consider for proposals when setting up Soil Health Living Labs (SHLLs) & Lighthouses (LHs)
<p>The infographic "Key SOILL Actions to Consider for Proposals When Setting Up Soil Health Living Labs (SHLLs) & Lighthouses (LHs)" provides a strategic overview for potential applicants to the Horizon Europe topics funding the establishement of the Soil Health Living Labs on the essential activities and commitments required for effective participation in the SOILL, the EU-funded Support Structure for the Soil Health Living Labs and Lighthouses. Designed in response to a need highlighted by the key stakeholders, this visual guide ensures that applicants consider the necessary time and budget for involvement in SOILL events, training, and collaborative efforts. The infographic categorises actions into in-person, in-person/online, and online-only engagements, offering a clear understanding for integrating these elements into the proposals. This tool has been realised with aim to fulfil the SOILL and NATI00NS project's missions, aiding in the preparation and alignment of SHLL/LH proposals with SOILL's overarching goals.</p>
Learning and Action Alliances
<p><span>The LENSES Learning and Action Alliances (LAAs) aim to promote cooperation and collective learning processes among stakeholders through a multi-level and multi-scale participatory approach, to helping in a fair distribution of resources.</span></p>
Safe cardiac action potential test (www.scaptest.com) : a database describing the in silico cardiac safety profile of drugs and their propensity to induce early afterdepolarization - Part II : description of 50 additional drugs
<p><span>This file describes the<em> in silico</em> cardiac safety profile of 50 additional drugs (in addition to the 150 drugs already described in the zenodo file 7541554) in order to complete the “scaptest” database.<span> </span>The aim of this database is to describe the <em>in silico</em> cardiac safety profile of drugss and their propensity to induce early afterdepolarization.<span> </span>This is based on the study of the effects of drugs on the non-failing human ventricular myocyte action potential (endo-, mid- and epicardial subtypes) reconstructed by computational simulation (O’Hara-Rudy dynamic algorithm) in order to identify cardiac action potential abnormalities such as high variations and/or occurrence of resting membrane potential, action potential amplitude, maximal rate of action potential rise, action potential duration, triangulation, early afterdepolarization, transmural dispersion of repolarization, reverse use dependence, qNet or minimal rate of action potential decrease at early afterdepolarization take-off voltage. These various parameters are useful in order to assume a more accurate predictability of pro-arrhythmic liabilities of new drug candidate in the cardiac safety pharmacology screening process, which is the aim of the comprehensive in vitro pro-arrhythmia assay (CiPA) initiative. The <em>in silico</em> cardiac safety profile of each drug is illustrated by a separate page describing the effects induced by each compound on these various parameters. The results are summarized regarding the expected pro-arrhythmia profile of the various compounds as described by the CredibleMeds classification evaluating their propensity to induce torsade de pointes.</span></p>
ScienceDex guides
Understand access before you commit
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.