Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,952
datasets available to search
ShareScore release 0.9.0
Dataset results
1,952 results for “actionality”
Data to support "Plastic Rivers project: Consumer-Based Actions to Reduce Plastic Pollution in Rivers: a Multi-Criteria Decision Analysis Approach"
Focusing on the most commonly occurring consumer plastic items present in European freshwater environments, we identified and evaluated consumer-based actions with respect to their direct or indirect potential to reduce macroplastic pollution in freshwater environments. As the main end users of these items, concerned consumers are faced with a bewildering array of choices to reduce their plastics footprint, notably through recycling or using reusable items. Using a Multi-Criteria Decision Analysis approach, we explored the effectiveness of 27 plastic reduction actions with respect to their feasibility, economic impacts, environmental impacts, unintended social/environmental impacts, potential scale of change and evidence of impact. Total action scores have been calculated using a multi-criteria decision analysis (MCDA) on 27 plastic reduction actions identified though a literature review. Each of the total action scores is the weighted sum of 1-5 scores (assigned to each of ten criteria to assess the positive environmental impact of each action, based on the literature review) and % weights of each criterion to rank their relative importance. We provide two tables in csv format: 1) the % weights assigned by 15 experts to rank the relative importance of socio-economic and environmental criteria to assess plastic reduction actions; 2) the 1-5 scores assigned to each of the ten criteria in relation to each of the 27 actions; the median weights for each of the ten criteria calculated from 1); and the total action scores of each of the 27 actions calculated as weighted sum (e.g. TAS action 1: sum of ten products of % criterion weight * 1-5 scores assigned to each combination criterion - plastic reduction action).
Video Editing Materials for Human Perceptions of a Curious Robot that Performs Off-Task Actions
<p>Video footage, editing timelines and compositing resources for the user study described in the HRI 2020 paper "Human Perceptions of a Curious Robot that Performs Off-Task Actions." Adobe Premiere 14 (CC 2019) or greater and a matched release of Adobe After Effects are required to render the clips.</p>
Data supporting the findings of the publication: "Seeing your own or someone else's hand moving in accordance with your action: The neural interaction of agency and hand identity"
<p>Data relative to the following publication:</p> <p>Uhlmann, L., Pazen, M., van Kemenade, B. M., Steinsträter, O., Harris, L. R., Kircher, T., Straube, B. (2020). Seeing your own or someone else's hand moving in accordance with your action: The neural interaction of agency and hand identity.<em><strong> Human Brain Mapping</strong></em>. DOI: 10.1002/hbm.24958</p> <p> </p> <p>Details are specified in the readme file.</p>
Full list of signatories to: Pe'er et al. "Action needed for the EU Common Agricultural Policy to address sustainability challenges" (Preprint version)
<p>This is the list of signatories to the Scientists' Statement on the EU's Common Agricultural Policy:</p> <p>"Action needed for the EU Common Agricultural Policy to address sustainability challenges" (Pe'er et al. 2019).</p> <p>The preprint version (DOI: 10.5281/zenodo.3666258) has been made available online between 4.11.2019 and 19.2.2020.</p> <p>Signatories were requested to read the full statement prior to adding their name in its support; and to provide a proof that they are scientists.</p> <p>A final version of the paper has been published in March 2020 in the journal People and Nature.</p> <p> </p>
Video II COST Action CHARME
<p>Biotechnology is an enabling technology that alone, or in combination with cognate technologies, provides the capacity to spur huge leaps in the performance and capabilities of numerous sectors, such as healthcare and medicine, agricultural production, and industrial production. In this context, a prerequisite for modern R&D is a high quality of the research data. By enabling re-use of research assets, research is made considerably more efficient and economical. Nowadays we count on open science, the movement to make scientific research accessible to all, including publications, data, physical samples, and software. However, dumping a spreadsheet online is not enough to maximise the impact of research. To maximise the impact of research, we need to go one crucial step further. Samples and source data need to be quality-guaranteed to enable research to become considerably more efficient and economical. Members from 33 countries, are working together to harmonise existing efforts and to offer solutions in the implementation of FAIR standard data management plans and quality management systems, in life science research labs. To do so, CHARME focuses on a uniform cross border training throughout Europe.</p>
Video about COST Action SAGA Training School 1
<p>Video about the first training school organised by COST Action SAGA (CA 17131)</p>
Behavioural and neurophysiological data from experiments on the impact of spatial frequency information to action comprehension
<p>Understanding object-directed actions performed by others is central to everyday life. This ability is thought to rely on the interaction between the dorsal action observation network (AON) and a ventral object recognition pathway. On this view, the AON would encode action kinematics, and the ventral pathway, the most likely intention afforded by the objects. However, experimental evidence supporting this model is still scarce. Here, we aimed to disentangle the contribution of dorsal vs. ventral pathways to action comprehension by exploiting their differential tuning to lowspatial frequencies (LSFs) and high-spatial frequencies (HSFs). We filtered naturalistic action images to contain only LSF or HSF and measured behavioral performance and corticospinal excitability (CSE) using transcranial magnetic stimulation (TMS). Actions were embedded in congruent or incongruent scenarios as defined by the compatibility between grips and intentions afforded by the contextual objects. Behaviorally, participants were better at discriminating congruent actions in intact than LSF images. This effect was reversed for incongruent actions, with better performance for LSF than intact and HSF. These modulations were mirrored at the neurophysiological level, with greater CSE facilitation for congruent than incongruent actions for HSF and the opposite pattern for LSF images. Finally, only for LSF did we observe CSE modulations according to grip kinematics. While results point to differential dorsal (LSF) and ventral (HSF) contributions to action comprehension for grip and context encoding, respectively, the negative congruency effect for LSF images suggests that object processing may influence action perception not only through ventral-to-dorsal connections, but also through a dorsal-to-dorsal route involved in predictive processing.</p>
Data from: Control of adaptive action selection by secondary motor cortex during flexible visual categorization
<p>Adaptive action selection during stimulus categorization is an important feature of flexible behavior. To examine neural mechanism underlying this process, we trained mice to categorize the spatial frequencies of visual stimuli according to a boundary that changed between blocks of trials in a session. Using a model with a dynamic decision criterion, we found that sensory history was important for adaptive action selection after the switch of boundary. Bilateral inactivation of the secondary motor cortex (M2) impaired adaptive action selection by reducing the behavioral influence of sensory history. Electrophysiological recordings showed that M2 neurons carried more information about upcoming choice and previous sensory stimuli when sensorimotor association was being remapped than when it was stable. Thus, M2 causally contributes to flexible action selection during stimulus categorization, with the representations of upcoming choice and sensory history regulated by the demand to remap stimulus-action association.</p>
Robot action execution model learning data
<p><strong>Short summary</strong></p> <p>This dataset accompanies our paper</p> <p><code>A. Mitrevski, P. G. Plöger, and G. Lakemeyer, "Representation and Experience-Based Learning of Explainable Models for Robot Action Execution," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.</code></p> <p> </p> <p><strong>Contents</strong></p> <p>There are three zip archives included, each of them a dump of a MongoDB database corresponding to one of the three experiments in the paper:</p> <ul> <li>Grasping a drawer handle (<em>handle_drawer_logs.zip</em>)</li> <li>Grasping a fridge handle (<em>handle_fridge_logs.zip</em>)</li> <li>Pulling an object (<em>pull_logs.zip</em>)</li> </ul> <p>All three experiments were performed with a Toyota HSR. Only the data necessary for learning the models used in our experiments are included here.</p> <p> </p> <p><strong>Usage</strong></p> <p>After unzipping the archives, each database can be restored with the command</p> <blockquote> <p>mongorestore [directory_name]</p> </blockquote> <p>This will create a MongoDB database with the name of the directory (<em>handle_drawer_logs</em>, <em>handle_fridge_logs</em>, and <em>pull_logs</em>).</p> <p>Code for processing the data and model learning can be found in our <a href="https://github.com/alex-mitrevski/explainable-robot-execution-models">GitHub repository</a>.</p>
InHARD - Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics
<p><strong>Objectives</strong></p> <p>We introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset” (InHARD) from a real-world setting for industrial human action recognition with over 2 million frames, collected from 16 distinct subjects. This dataset contains 13 different industrial action classes and over 4800 action samples. The introduction of this dataset should allow us the study and development of various learning techniques for the task of human actions analysis inside industrial environments involving human robot collaborations.<br> Read <strong>00-README.txt</strong> for detailed download instructions.</p> <p>More details on the dataset at <a href="https://github.com/vhavard/InHARD">https://github.com/vhavard/InHARD</a></p> <p>This work has been performed at the CESI LINEACT : <a href="https://recherche.cesi.fr/inhard-industrial-human-action-recognition-dataset/">https://recherche.cesi.fr/inhard-industrial-human-action-recognition-dataset/</a></p>
Metrics Literacies research project mapped to Knowledge two Action (K2A) framework
<p><strong>Schematic representation of the Metrics Literacies research project mapped onto the Knowledge to Action (K2A) framework </strong></p> <p>Based on K2A framework proposed by:</p> <p>Wilson, K. M., Brady, T. J., Lesesne, C., & NCCDPHP Work Group on Translation. (2011). An organizing framework for translation in public health: The Knowledge to Action Framework. <em>Preventing Chronic Disease</em>, <em>8</em>(2), A46. PMID: 21324260</p> <p> </p>
Noise Maps ACTION pilot data 2020
<p>The Noise Maps project focused on deploying a citizen science process in the Barcelona neighborhoods of Sagrada Familia and the Raval to address the challenge of noise pollution. The sound data was generated between May and September 2020.</p>
Integrating QSAR models predicting acute contact toxicity and mode of action profiling in honey bees (A. mellifera): Data curation using open source databases, performance testing and validation
<p>This excel file (DOI: <a href="https://doi.org/10.5281/zenodo.3755675">https://doi.org/10.5281/zenodo.3755675</a>) provides the collection of raw data used for developing the first integrative Quantitative Structure-Activity Relationship (QSAR) model using EFSA's OpenFoodTox, US-EPA ECOTOX and Pesticide Properties DataBase i) to predict acute contact toxicity (LD<sub>50</sub>) and ii) to profile the Mode of Action (MoA) of pesticides active substances in honey bees (<em>Apis mellifera</em>)<em>. </em>Chemical identifiers (e.g. SMILES, CAS n., InChI) and acute contact toxicity data (LD<sub>50</sub>) on honey bees were used to develop and validate i) a two-category QSAR model (toxic/non-toxic; n=411) (sensitivity =0.93), specificity =0.85), balanced accuracy =0.90), Matthews correlation coefficient MCC=0.78), and ii) a regression-based model (n=113) (R2=0.74; MAE=0.52). Similarly, current study proposes the first MoA profiling for 113 pesticides active substances and the first harmonised MoA classification scheme for acute contact toxicity in honey bees, including LD<sub>50s</sub> data points from three different databases such as EFSA's OpenFoodTox, US-EPA ECOTOX and Pesticide Properties DataBase. Such classification allows to further define MoAs and the target site of Plant Protection Products (PPPs) active substances, thus enabling regulators and scientists to refine chemical grouping and toxicity extrapolations for single chemicals and component-based mixture risk assessment of multiple chemicals.</p> <p>The full data collection and analysis of QSAR models, toxicity data (LD<sub>50</sub>) and Mode of Action (Moa) data are described in Carnesecchi et al., 2020 (DOI: doi.org/10.1016/j.scitotenv.2020.139243).</p> <p>This work was supported by the European Food Safety Authority (EFSA) [contract number: OC/EFSA/SCER/2018/01 and NP/EFSA/AFSCO/2016/02 (Edoardo Carnesecchi)].</p>
Blue-Action D5.13 Supplementary data, documentation and figures
<p>This archives supplementary information for D5.13 Evaluation of the polar lows forecast system (related to Case Study 3: <a href="https://doi.org/10.5281/zenodo.4294460">https://doi.org/10.5281/zenodo.4294460</a>). The data produced are uploaded. Descriptions of methods and scripts are given in:</p> <p>To_create_Marine_Cold_Air_Outbreaks_MCAO_data_from_ERA_Interim.pdf</p> <p>Analysing_anomalies_of_a_few_weather_variables_associated_with_MCAO_event_durations.pdf</p> <p>Further analyses that are not presented in D5.13 are also provided:</p> <p>kingetal_2020_weatherpatternsassociatedwithmcaos.pdf</p> <p>king_2019jul_slidesforwp1group.pdf</p>
Predictive genetic plan for a captive population of the Chinese goral (Naemorhedus griseus) and prescriptive action for ex situ and in situ conservation management in Thailand
<p>Captive breeding programs for endangered species can increase population numbers for eventual reintroduction to the wild. Captive populations are typically small and isolated, which results in inbreeding and reduction of genetic variability, and may lead to an increased risk of extinction. The Omkoi Wildlife Breeding Center maintains the only Thai captive Chinese goral (<i>Naemorhedus griseus</i>) population, and has plans to reintroduce individuals into natural isolated populations. Genetic variability was assessed within the captive population using microsatellite data. Although no bottleneck was observed, genetic variability was low (allelic richness = 7.091 ± 0.756, <i>H</i><sub>e</sub> = 0.455 ± 0.219; <i>H</i><sub>e</sub> < <i>H</i><sub>o</sub>) and 11 microsatellite loci were informative that likely reflect inbreeding. Estimates of small effective population size and limited numbers of founders, combined with wild-born individuals within subpopulations, tend to cause reduction of genetic variability over time in captive programs. This leads to low reproductive fitness and limited ability to adapt to environmental change, thereby increasing the risk of extinction. Management of captive populations as evolutionarily significant units with diverse genetic backgrounds offers an effective strategy for population recovery. Relocation of individuals among subpopulations, or introduction of newly captured wild individuals into the captive program will help to ensure the future security of Chinese goral. Implications for future conservation actions for the species are discussed herein.</p>
Evaluation Data [Supplement to PhD "Machine-Actionable Assessment of Research Data Products"]
<p>This deposition consists of the raw data used for the evaluation chapter 6 of the dissertation "Machine-Actionable Assessment of Research Data Products" (Tobias Weber, yet unpublished).</p>
Insect Conservation Actions Ontology
<p>Insect conservation experts constructed an ontology of insect conservation actions based on a long list of possible actions pulled from a review of reviews and web scraping similar conservation projects. The full methods are detailed at: https://insectconservation.github.io/methods.html</p>
Comparing Action-Oriented Language in the Assessment of EFL Writing: An Action Research for Combining the First-Year Instruction of the National Curriculum and the International Baccalaureate (IB) Diploma Program in a Finnish High School
<p>The data here were used to complete my master's thesis. Data have been anonymized and can thus be used freely. The thesis can be downloaded from the following URL:</p> <p>https://helda.helsinki.fi/handle/10138/327351</p>
Data from: Finding the best management policy to eradicate invasive species from spatial ecological networks with simultaneous actions
1. Spatial management of invasive species is more likely to be successful when multiple locations are treated simultaneously. However, selecting the best locations to act is difficult due to the many options available at any time. 2. We design a near-optimal policy for applying multiple actions simultaneously for faster invasive species control within a network. Our method uses a recent optimisation tool, the Graph-based Markov decision process (GMDP). Since the policy can be difficult to interpret, we extracted a simpler policy using classification trees. We applied our approach to the eradication of invasive mosquitofish (Gambusia holbrooki) from the habitat of the red-finned blue-eye (Scaturiginichthys vermeilipinnis), a critically endangered fish with a global population that is restricted to seven artesian springs in Queensland, Australia. 3. The policy returned by the GMDP was to manage springs occupied by mosquitofish and their connected neighbours, unless the neighbours were occupied by red-finned blue-eyes. 4. Simultaneous management resulted in rapid declines in simulated mosquitofish occupancy even if eradication effectiveness was low; however the cost of simultaneous eradication was high and sustained eradication effort was necessary to maintain low mosquitofish occupancy. 5. Synthesis and applications. Our paper finds a near-optimal, multi-action control policy to remove an invasive species from a multi-species spatial network. We introduce the Graph-based Markov decision process (GMDP) and apply it to a real case study – eradication of invasive mosquitofish from the habitat of the red-finned blue-eye. We find that the GMDP can generate policies for networks with extremely large state spaces, however it works best when nodes have fewer than five neighbours. We conclude that simultaneous eradications are effective for rapid control of invasive species; however, managers should consider the cost and time required for an effective eradication program.
Data from: Inferring invasive species abundance using removal data from management actions
Evaluation of the progress of management programs for invasive species is crucial for demonstrating impacts to stakeholders and strategic planning of resource allocation. Estimates of abundance before and after management activities can serve as a useful metric of population management programs. However, many methods of estimating population size are too labor intensive and costly to implement, posing restrictive levels of burden on operational programs. Removal models are a reliable method for estimating abundance before and after management using data from the removal activities exclusively, thus requiring no work in addition to management. We developed a Bayesian hierarchical model to estimate abundance from removal data accounting for varying levels of effort, and used simulations to assess the conditions under which reliable population estimates are obtained. We applied this model to estimate site-specific abundance of an invasive species, feral swine (Sus scrofa), using removal data from aerial gunning in 59 site/time-frame combinations (480–19,600 acres) throughout Oklahoma and Texas, USA. Simulations showed that abundance estimates were generally accurate when effective removal rates (removal rate accounting for total effort) were above 0.40. However, when abundances were small (<50) the effective removal rate needed to accurately estimates abundances was considerably higher (0.70). Based on our post-validation method, 78% of our site/time frame estimates were accurate. To use this modeling framework it is important to have multiple removals (more than three) within a time frame during which demographic changes are minimized (i.e., a closed population; ≤3 months for feral swine). Our results show that the probability of accurately estimating abundance from this model improves with increased sampling effort (8+ flight hours across the 3-month window is best) and increased removal rate. Based on the inverse relationship between inaccurate abundances and inaccurate removal rates, we suggest auxiliary information that could be collected and included in the model as covariates (e.g., habitat effects, differences between pilots) to improve accuracy of removal rates and hence abundance estimates.
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.