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1,952 results for “actionality”
Dataset of human manipulation actions
<p>This dataset consists of nine object manipulation actions performed by 12 humans: pick and place, put on top/take down, put inside/take out, hide/uncover, and push/pull with a total of 7,652 movement examples.</p> <p>See the README.md file for more information.</p>
Complex patterns shape immune genes diversity during invasion of common raccoon in Europe – selection in action despite genetic drift
<p>Rapid adaptation is common in invasive populations and is crucial to their long-term success. The primary target of selection in the invasive species' new range is standing genetic variation. Therefore, genetic drift and natural selection acting on existing variation are key evolutionary processes through which invaders will evolve over a short timescale. In this study, we used the case of the raccoon <em>Procyon</em> <em>lotor</em> invasion in Europe to identify the forces shaping the diversity of immune genes during invasion. The genes involved in the defence against infection should be under intense selection pressure in the invasive range where novel pathogens are expected to occur. To disentangle the selective and demographic processes shaping the adaptive immune diversity of its invasive and expanding populations, we have developed species-specific SNP markers located in the coding regions of targeted immune-related genes. We characterised the genetic diversity of 110 functionally important immune genes in two invasive and one native raccoon genetic clusters, each presenting a different demographic history. Despite the strong effect of demographic processes in the invasive clusters, we detected a subset of genes exhibiting the diversity pattern suggestive of selection. The most likely process shaping the variation in those genes was balancing selection. The selected genes belong to toll-like receptors and cytokine-related genes. Our results suggest that the prevalence of selection depends on the level of diversity, i.e. – less genetically diverse invasive population from Czech Republic displayed fewer signs of selection. Our results highlight the role of standing genetic variation in adapting to a new environment. Understanding the evolutionary mechanisms behind invasion success would enable predicting how populations may respond to environmental change.</p>
Call to Action: Overcoming Enrollment Disparities in Cancer Clinical Trials with Modernized Eligibility Criteria
<p>Dataset used for paper: "Call to Action: Overcoming Enrollment Disparities in Cancer Clinical Trials with Modernized Eligibility Criteria." Data extracted from clinicaltrials.gov.</p>
Dogs take into account the actions of a human partner in a cooperative task
<p>Humans stand out for their capacity to flexibly cooperate, possibly because they understand their partners' role. Researchers have explored if such understanding is unique to humans by assessing whether non-human species wait to manipulate a cooperative apparatus until a delayed partner arrives. If animals do wait, then it is assumed that they recognize the need for a partner. However, success in these tasks may be the result of social facilitation, while failure may be due to poor inhibitory control. Moreover, this approach does not test if animals take their partners' actions into account. Here we trained dogs to press a button simultaneously with their human partner. Afterwards, we tested them in several conditions to disentangle which elements of their partner's behaviour they take into account. Dogs waited to press the button until: the arrival of a delayed partner, the button was available to the partner, and the partner acted (pressed the button). We found no relationship between inhibitory control and success. We conclude that dogs are not merely reacting to the presence of their human partners, but are also taking their actions into account when coordinating with them.</p>
Results of the crowd-mapping action within the project TeRRIFICA [Dataset No. 2 dated 2023-01-19]
<p>The dataset includes the results of the crowd-mapping action within the project "Territorial RRI fostering innovative climate action" - TeRRIFICA (Horizon 2020 under GA 824489) dated 2023-01-19. The data are points added to the map by the users (volunteers) and represent locations where climate change-related issues occur regarding air temperature, air quality, water, soil, and wind (SPOTS). The second part of the dataset is related to the crowd-mapping users and their anonymized characteristics (USERS). More details are available at https://terrifica.eu/.</p>
SUMOylation of NaV1.2 channels regulates the velocity of backpropagating action potentials in cortical pyramidal neurons
<p>Voltage-gated sodium channels located in axon initial segments (AIS) trigger action potentials (AP) and play pivotal roles in the excitability of cortical pyramidal neurons. The differential electrophysiological properties and distributions of Na<sub>V</sub>1.2 and Na<sub>V</sub>1.6 channels lead to distinct contributions to AP initiation and backpropagation. While Na<sub>V</sub>1.6 at the distal AIS promotes AP initiation and forward propagation, Na<sub>V</sub>1.2 at the proximal AIS promotes backpropagation of APs to the soma. Here, we show the Small Ubiquitin-like Modifier (SUMO) pathway modulates persistent sodium current (I<sub>NaP</sub>) generation at the AIS to increase neuronal gain and the speed of backpropagation. Since SUMO does not affect Na<sub>V</sub>1.6, these effects were attributed to SUMOylation of Na<sub>V</sub>1.2. Moreover, SUMO effects were absent in a mouse engineered to express Na<sub>V</sub>1.2-Lys38Gln channels that lack the site for SUMO linkage. Thus, SUMOylation of Na<sub>V</sub>1.2 exclusively controls I<sub>NaP</sub> generation and AP backpropagation, thereby playing a prominent role in synaptic integration and plasticity.</p>
Datasets for Application of particle swarm optimization to understand the mechanism of action of allosteric inhibitors of the enzyme HSD17ß13
<p>Datasets used in the publication '</p> <p>Application of particle swarm optimization to understand the</p> <p>mechanism of action of allosteric inhibitors of the enzyme HSD17ß13'</p>
Unraveling the decarboxylation dynamics of the fluorescein dianion with fragment action spectroscopy
<p>The raw action spectra of Fl<sup>2-</sup> recorded by monitoring the yields of electrons, Fl<sup>-</sup> and Fl-CO<sub>2</sub><sup>-</sup>, as well as the photoelectron image of Fl<sup>2-</sup> at 320 nm.</p>
'Projected Landscape-scale Repercussions of Global Action for Climate and Biodiversity Protection' - model outputs
<p>Archive of model outputs produced for the MAgPIE v4.3.5 paper 'Projected Landscape-scale Repercussions of Global Action for Climate and Biodiversity Protection'.</p> <p>The model code of the MAgPIE and SEALS models can be accessed via:</p> <p><strong>MAgPIE model code</strong>: <a href="https://doi.org/10.5281/zenodo.5394196">https://doi.org/10.5281/zenodo.5394196</a> and <a href="https://github.com/magpiemodel/magpie">https://github.com/magpiemodel/magpie</a></p> <p><strong>MAgPIE model documentation</strong>: <a href="https://rse.pik-potsdam.de/doc/magpie/4.3.5/">https://rse.pik-potsdam.de/doc/magpie/4.3.5/</a></p> <p><strong>SEALS model code</strong>: <a href="https://doi.org/10.5281/zenodo.7795957">https://doi.org/10.5281/zenodo.7795957</a></p> <p>Data descriptions:</p> <p><strong>glosem_input.zip </strong>contains the spatially-explicit RLSK and C-factor data for each of the modelled scenarios at 10 arcseconds and the R code to estimate C-factor values based on the MAgPIE-SEALS outputs.</p> <p><strong>glosem_output.zip</strong> contains the spatially-explicit soil loss estimates for all scenarioso and the R code used to process the input data. The data was used to create Fig. 7.</p> <p><strong>magpie_ouput.zip</strong> contains the MAgPIE model outputs of all scenarios. The data is shown in Figs. 2, 3, 4, & 5.</p> <p><strong>pollination_sufficiency.zip</strong> contains the spatially-explicit pollination sufficiency estimates for all modelled scenarios and the R code used to derive the pollination sufficiency scores. The data is displayed in Fig. 6.</p>
What Do Firms Say in Reporting on Impacts of Climate Change? An Approach to Monitoring ESG Actions and Environmental Policy
<p>This paper focuses on two research questions arising from the 2010 U.S. Securities and Exchange Commission (SEC) Advisory on climate change reporting: (1) How does the discussion of climate change in SEC filings change after the Advisory? and (2) What are firms talking about when they talk about climate change?<br> Findings were obtained from the 218,000 10-K filings to the SEC during the 2000--2019 period. The study develops and applies text mining methodology based on extracting information from the ``semantic associates'' in the ``neighborhoods'' of indicative terms. On (1) it finds that climate change-related reporting does increase substantially after the SEC guidance. On (2) a nuanced picture emerges. Firms with comparatively larger transition risks tend to discuss climate change comparatively more, focusing on regulation-related topics. Firms exposed to the physical risks of climate change tend to discuss climate change somewhat less, focusing on meteorological topics. The results enrich our understanding regarding environmental policies and firms' behaviors regarding climate change. Theoretical and practical implications are provided.</p>
Inlist Files for Effects of Full Sphere Convection On M-Dwarf Dynamo Action, Flux Emergence, and Spin-Down
<p>Inlist files for a model of a ZAMS 0.3 M_sun star used as background for global convection simulations in <em>Effects of Full Sphere Convection On M-Dwarf Dynamo Action, Flux Emergence, and Spin-Down</em>. Run using MESA version r12115.</p>
Machine-actionable data descriptions for Austria's digital landscape model
<p>The digital landscape model (DLM) is a compilation of several data sets that, among other things, form the data basis for official maps. It covers a variety of the 34 themes of the EU directive INSPIRE. The introduction of these themes enriched the metadata and made similar datasets easier to find. Unfortunately, the competent authority (BEV) only provides the associated data descriptions as a PDF export of an Excel spreadsheet without translations. This dataset contains the raw data and visualizations.</p>
Petty bribery, pluralistic ignorance, and the collective action problem
<p>Corruption in the form of bribery for access to public goods and services remains a widespread and seemingly innocuous practice which disproportionately targets the poor and helps keep them poor. Furthermore, the aggregate effects of bribery in the form of small payments erode the legitimacy of government institutions and their capacity to fairly administer public goods and services as well as protection under the law. Drawing on original evidence using social norms methodology, this research tests underlying beliefs and expectations which sustain persistent forms of bribery and draws attention to its association with pluralistic ignorance and consequent collective action problems. With examples focused on bribery in traffic law enforcement, healthcare, and education – three critical areas where bribery is often identified as an entrenched and systematic practice – this paper contributes new evidence of: i) the presence of pluralistic ignorance, a common social comparison error, in bribe-giving behaviour; ii) differing social evaluations of bribe-solicitation and finally, iii) how this context might exacerbate collective action problems. This empirical case study of Nigeria shows that even though more people are likely to be directly affected by bribery during routine interactions with public officials and institutions and many believe this practice is wrong, most people incorrectly believe that others in their community tolerate or even accept bribery behaviour.</p>
Supplementary materials for: Actually accessible data: An update and a call to action
<p>These are the supplementary materials for the article "Actually Accessible Data: An Update and a Call to Action." The project contains three files:</p> <ol> <li>Colon-Karcher-Goben_Accessibility-of-Popular-Data-Repositories.xlsx shows the results of automated accessibility checks of seven popular data repositories in the United States and Europe. For each repository a search or browse page as well as a typical dataset landing page were selected and checked with two prominent accessibility tools AXE (https://www.deque.com/axe/) and WAVE (https://wave.webaim.org/). Checks were initially performed in Spring 2022. The reported (mostly unchanged) results are from tests on April 25, 2023. They were performed using Firefox 112.0.2 for Windows with both browser add-ons installed, AXE v. 4.6.3, WAVE v. 3.2.</li> <li>Colon-Goben-Karcher_Acessibility-FLOSS-Repositories.xlsx describes the treatment of digital accessibility in the developer-oriented documentation of six popular open-source (data) repository software projects. The project documentation was reviewed by two researchers with a background in open source software (Karcher as well as a graduate assistant at the Qualitative Data Repository) who looked for specific sections on accessibility and also used search terms to identify relevant sections. This document reflects the status as of April 2022.</li> <li>Colon-Goben-Karcher_Search-Strategies.docx Briefly discusses the literature search strategies conducted for relevant literature. Initial searches in Google Scholar and Scopus were performed in March-April 2022. Additional searches in LISTA are from March-April 2023.</li> </ol>
A Dataset of Human Body Tracking of Walking Actions Captured Using Two Azure Kinect Sensors
<p>A dataset of body tracking information is presented. The dataset consists of 315 captured walking sequences. Each sequence is simultaneously captured by two Azure Kinect devices. The two captures are interleaved to effectively double the frame rate. Fifteen participants partook in this experiment. Each experiment consists of seven walking actions, and having three predefined trajectories per experiment. That results in 21 sequences per participant. The data were collected using the Azure Kinect Sensor SDK. They were later processed using the official tools and libraries provided by Microsoft. For each sequence and trajectory, the positions and orientations of thirty-two tracked joints were obtained and saved.</p> <p>The dataset is structured as follows. The experiments from each subject are saved in a single directory. Each directory contains multiple JSON files of timestamped body tracking information to enable the fusion of the two device streams. A calibration file is also provided, enabling the mapping of the coordinates between the two Azure Kinect devices capturing the data (mapping the coordinates of the device known as the Subordinate device to the Master device coordinate system). This data can be used to train neural networks for human motion prediction tasks or test pre-existing algorithms on Azure Kinect data. This dataset could also aid in gait recognition and analysis, as well as in performing action recognition and other surveillance activities.<br> <br> <strong>Journal Publication Citation:</strong><br> Charli Posner, Adrián Sánchez-Mompó, Ioannis Mavromatis, Mustafa Al-Ani,<br> A dataset of human body tracking of walking actions captured using two Azure Kinect sensors,<br> Data in Brief,<br> Volume 49,<br> 2023,<br> 109334,<br> ISSN 2352-3409,<br> https://doi.org/10.1016/j.dib.2023.109334.<br> (https://www.sciencedirect.com/science/article/pii/S2352340923004523)</p>
Infrared action spectroscopy as tool for probing gas-phase dynamics: Protonated Dimethyl Ether ((CH3)2OH+) formed by the reaction of CH3OH2+ with CH3OH
<p>The series of folder contain the .log files from Gaussian(R) 16 of the different species and at different level of theories, as specified in the subfolders and filenames. The data refer to calculations that have been submitted for publication as an original research paper:</p> <p>Title: "Infrared action spectroscopy as tool for probing gas-phase dynamics: Protonated Dimethyl Ether, (CH<sub>3</sub>)<sub>2</sub>OH<sup>+</sup>, formed by the reaction of CH<sub>3</sub>OH<sub>2</sub><sup>+</sup> with CH<sub>3</sub>OH</p> <p>Journal: Molecular Physics</p> <p>Authors: V. Richardson, D.B. Rap, S. Brünken and D. Ascenzi</p>
Soil labile nitrogen pools for the Carbon action ACA experiment for year 2022 (4th year of experiment)
<p>This dataset describes labile nitrogen pools following four years of carbon farming experiments in the Carbon Action ACA dataset of 20 farms. The soils were sampled in July and analyzed for Total N, ISNT-N, Autoclave citrate protein -N, Water soluble organic N, inorganic N and potentially mineralizable N. </p> <p>The analysis is published open access in Soil Use And Management. https://doi.org/10.1111/sum.12930</p>
Replication package of: 'Perceived Fairness and Consequences of Affirmative Action Policies'
<p>Replication package for: Schildberg-Hörisch, H., Schwarz, M., Trieu, C., and Willrodt, J. (2023). “Perceived Fairness and Consequences of Affirmative Action Policies”, Economic Journal, conditionally accepted.</p>
Human-Actions-in-Diverse-Environments-HAR-Approach
<p>#### HADE Dataset<br> - Collected and curated for the foundation of the HAR system, comprising 1500+ videos<br> - Preprocessing techniques for suitable data format.<br> - Raw data from smartphone cameras saved as .mp4 video files.<br> - Videos: 4-5 seconds duration, 30 fps.<br> - Frames organized by subject and action names.</p> <p> </p> <p>After manual annotation, and pre-processing, we obtained the following frames/samples</p> <p>#### Actions in HADE Dataset<br> | Action # | Action Name | # of Samples |<br> |----------|---------------|--------------|<br> | 1 | Clapping | 178 |<br> | 2 | Sitting Down | 171 |<br> | 3 | Standing Up | 171 |<br> | 4 | Walking | 178 |<br> | **Total**| | **699** |</p> <p>- HADE dataset includes Clapping, Sitting Down, Standing Up, and Walking actions.<br> - Total of 699 samples.</p> <p>#### Dataset Diversity and Comparison<br> - HADE dataset stands out for broader action range and environmental diversity.<br> - Enhanced model generalizability and adaptability.<br> </p>
Equity, community, and accountability: Leveraging a department-level climate survey as a tool for action
<p>Organizational climate is a key determinant of diverse aspects of success in work settings, including in academia. Power dynamics in higher education can result in inequitable experiences of workplace climate, potentially harming the well-being and productivity of employees. Quantifying experiences of climate across employment categories can help identify changes necessary to create a more equitable workplace for all. We developed and administered a climate survey within our academic workplace—the Department of Zoology and Physiology at the University of Wyoming—to evaluate experiences of climate across three employment categories: faculty, graduate students, and staff. Our survey included a combination of closed-response (e.g., Likert-scale) and open-ended questions. Most department members (82%) completed the survey, which was administered in fall 2021. Faculty generally reported more positive experiences than staff. Graduate students often fell between these two groups, though in some survey sections (e.g., mental health and well-being) students reported the most negative experiences of departmental climate. Three common themes emerged from the analysis of open-ended responses: equity, community, and accountability. We discuss how these themes correspond to concrete action items for improving our departmental climate, some of which have been implemented already, while others constitute future initiatives and/or require a collective push towards systemic change in academia. Finally, service work of this type often falls outside of job descriptions, requiring individuals to either work more or trade-off productivity in other areas that are formally evaluated. With the goal of minimizing this burden for others, we detail our process and provide the materials and framework necessary to streamline this process for other departments aiming to evaluate workplace climate as a key first step in building a positive work environment for all employees.</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.