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48 results for “activity space”
Activity budgets and space use for two common Pacific parrotfish (Chlorurus Sp.) at Palmyra Atoll National Wildlife Refuge
Data was collected at Palmyra Atoll National Wildlife Refuge located in the Central Pacific in 2014, and the work focuses on two species of Parrotfish, Chlorurus microrhinos and Chlorurus spilurus (formerly Cholrurus sordidus). For C. microrhinos, the project was designed to collect fine-scale spatial behavior data, focusing on territory size, species interactions, and benthic impact (i.e. feeding behavior). Focal follow data was collected by one or two observer(s), either on snorkel or SCUBA, and recording focal activity down to the second. Simultaneously, the observer would be towing a GPS that was recording a location every 5 seconds and each location was then associated with a particular behavior. Throughout this study individual fish were identifiable and successive follows were possible on individuals. For C. spilurus the focus of the project was to collect behavioral time budget data on feeding, territorial defense, and spawning behavior. The ‘Chlorurus_Area_Palmyra_2014.csv’ data only covers C. Microrhinos and gives the 95% KUD area estimation for GPS towed tracks, as well as the 95% KUD area for locations where feeding was occurring. We also report the step length between successive points for the entire follow as well as where feeding was occurring. The ‘Chlorurus_Activity_Palmyra_2014.csv’ is for both C. Microrhinos and C. spilurus and reports the start and stop time of each focal follow as well as the start and stop time of each activity. Activity descriptions can be found in the metadata and the total length and phase for each individual in our study can be found in ‘Fish_Information_Chlorurus_Data_2014.csv.
Online survey of needs and challenges of innovation ecosystems and intermediaries for taking up activity in the EU space sector
<p>The present dataset was generated as part of the "Needs and challenges of innovation ecosystems and intermediaries for taking up activity in the EU space sector" of the H2020 <a href="http://innorbit.eu">InnORBIT project</a>.</p> <p>The aim of this study was to identify and explore the available and missing skills of innovation intermediaries to provide business support services to innovators within their local ecosystems to develop commercial activity in space. The assessment of skills was based on a baseline framework encompassing a wide array of skills and competencies innovation intermediaries are supposed to possess in order to provide effective business support services to space innovators. The skills of the baseline framework are grouped into five broad categories: (i) space industry knowledge, (ii) business assessment knowledge, (iii) business support skills, (iv) organisational and digital skills and (v) soft skills. The baseline framework was originally developed by the InnORBIT consortium through research in related works of EU funded projects and publications and validated through a series of 15 interviews with top-level executives of organisations across the CEE and SEE area, belonging to the two target groups of the study (i.e., innovation intermediaries and innovators). An online survey was deployed from May 26th to June 18th using the EU Survey tool, to innovation intermediaries and innovators across the EU and CEE/SEE countries in particular. Two online questionnaires were developed building on the baseline skills framework - the first intended for innovation intermediaries asking them to perform a self-assessment of their skills in terms of providing business support services and the second targeting innovators, asking them to state their perception on how innovation intermediaries they have worked with, perform in each of the skills.</p> <p>The dataset contains four files:</p> <p>1. Zip file including the transcripts from 6 interviews with space innovators in Eastern Europe for the evaluation of the baseline framework of skills.</p> <p>2. Zip file including the transcripts from 9 interviews with innovation intermediaries in Eastern Europe for the evaluation of the baseline framework of skills.</p> <p>3. a pdf file of the digital questionnaires developed in EU Survey deployed to innovation intermediaries and innovators in the region</p> <p>4. An excel file with 104 valid responses collected from the online survey (56 innovation intermediaries and 48 innovators) across 16 EU countries / 21 countries total.</p> <p>The dataset contains only non-sensitive anonymised information and is in full compliance with the GDPR provisions. Any information leading to the identification of participants in activities (interviews, survey) is either modified or omitted and deonted with brackets.</p>
Data for manuscript: The Conformational Space of the SARS-CoV-2 Main Protease Active Site Loops is Determined by Ligand Binding and Interprotomer Allostery
<div>The data is provided as a part of the manuscript "<strong>The Conformational Space of the SARS-CoV-2 Main Protease Active Site Loops is Determined by Ligand Binding and Interprotomer Allostery</strong>". This repository includes an archive with folders:</div> <div> </div> <div><strong>md_data </strong></div> <div> <ul> <li>a directory with MD data for all simulation systems considered in the manuscript. Initial and final conformations are provided.</li> </ul> </div> <div> </div> <div><strong>fig_data</strong></div> <div> <ul> <li>a directory with the data underlying all the main text in the manuscript. </li> </ul> </div> <div> </div> <div>Videos S1-S3 are also included.</div>
Urbanization alters the song propagation of two human-commensal songbird species: Active space, amplitude, and attenuation code
Open the record for dataset details and reuse information.
Supplementary Materials - Integrating Spatial Analyses and Microbotanical Remains: A Methodological Approach for Investigating Plant Processing Activities and Domestic Spaces at Neolithic Çatalhöyük.
<p><strong>Supplementary Materials I, II, and III - Integrating Spatial Analyses and Microbotanical Remains: A Methodological Approach for Investigating Plant Processing Activities and Domestic Spaces at Neolithic Çatalhöyük.</strong></p> <p> </p> <p><strong>Supplementary I</strong> contains the raw data for the microbotanical analyses on Buildings 80 and 131. It consists of laboratory track sheets and the raw counts of phytoliths and starch grains from each building.</p> <p><strong>Supplementary II</strong> contains: a) A detailed description of all the starch grain typologies encountered in this research along with references from modern reference collections; b) A visual example of each of the phytolith morphotypes identified and c) The variogram and the Kriging error variances.</p> <p><strong>Supplementary III</strong> refers to the R code, building shape files (Mask), and spatial data utilized to produce the Kriging and IDW stipital objects.</p>
Utilization of outdoor spaces for specific activities (Barcelona, Rotterdam, Gothenburg): ratings and reasoning
<p>What outdoor spaces are more likely to be used for different activities?</p> <p>In this repository, we share the data we collected and analysed to explore the impact of physical characteristics of outdoor spaces on<br>the probability of utilization across diverse individuals, considering various age and gender groups.</p> <p>To collect this data we performed a crowdsourcing campaign. We recruited 409 participants from 21 European countries. To ensure a diverse range of outdoor spaces’ physical characteristics, our selection includes a range of spaces such as public squares, open marketplaces, greenspaces, pocket parks, play spaces, and streets, sourced from three European cities: Rotterdam, Barcelona, and Gothenburg. In our experiments, we presented to participants five different outdoor spaces and asked them to indicate to what degree, and why, they consider them suitable for any of the aforementioned activities.</p> <p>In total we collected data for 413 spaces representing 102 public open spaces, 107 streets, 114 greenspaces, 91 pocket parks, and 84 play spaces.</p> <p>In particular this dataset includes:</p> <ul> <li>9700 ratings of outdoor spaces likely use for different activities (Likert scale 1-5)</li> <li>6388 short explanations of these ratings</li> <li>Each space is assigned a geolocation and a gsv_id which links this location to its corresponding google street view image</li> </ul>
Automatic State Interaction for Large Localized Active Spaces for Multimetallic Systmes
<p>The localized active space self consistent field (LASSCF) method factorizes a complete active space (CAS) wave function into an antisymmetrized product of localized active space wave function fragments. Correlation between fragments is then reintroduced through LAS state interaction (LASSI), in which the Hamiltonian is diagonalized in a model space of LAS states. However, the optimal procedure for defining the LAS fragments and LASSI model space is unknown. We here present an automated framework to explore systematically convergent sets of model spaces, which we call LASSI[$r$,$\nmax$]. This method requires the user to select only $r$, the number of electron hops from one fragment to another and $\nmax$, the number of fragment basis functions per Hilbert space, which converges to CASCI in the limit of $r,\nmax\to\infty$. Numerical tests of this method on the tri-metal complexes [Fe(III)Al(III)Fe(II)($\mu_3$-O)]$^{6+}$ and [Fe(III)$_2$Fe(II)($\mu_3$-O)]$^{6+}$ show efficient convergence to the CASCI limit with 4-10 orders of magnitude fewer states.</p>
Data Set for Self-adapting short-range correlation functional for complete active space-based approximations
<p>Data Set to accompany:</p> <p> Self-adapting short-range correlation functional for complete active space-based approximations</p>
Synchronous Activity-Space Segregation: Simulated Data
<p>Simulations of full census populations of Buffalo and Utica, New York, doing Levy flights along street networks.</p>
Traversing Chemical Space with Active Deep Learning for Low-data Drug Discovery
<p>Raw and processed data from LitPCBA used in the paper "Traversing Chemical Space with Active Deep Learning for Low-data Drug Discovery"</p>
Dataset accompanying: Directional biosonar beams allow echolocating harbour porpoises to actively discriminate and intercept closely-spaced targets
<p>These datasets accompany the manuscript "Directional biosonar beams allow echolocating harbour porpoises to actively discriminate and intercept closely-spaced targets". Three XLSX spreadsheets contain data for trial-specific variables (Dataset A, n=120, used for trial duration, discrimination success, number of scans, buzz duration, range to target at buzz onset, range to target at discrimination), on-axis click candidates (Dataset B, n=1810, used for delta T, delta EL), and true on-axis clicks (Dataset C, n=906, used for SL and bearing calculations). Units of each variable are denoted in the column headers. Details on data collection, curation, and analysis can be found in the Malinka<em> et al</em>. publication ([insert link to DOI once available]).</p> <p>For comments/questions, please contact chloe.e.malinka [at] bio.au.dk</p>
Characterising conical intersections in DNA/RNA nucleobases with multiconfigurational wave functions of varying active space size. Supplementary Information.
<p>Supplementary information that contains several files with the Cartesian coordinates for each one of the conical intersections optimized for each nucleobase at every active space studied. </p>
Data from: Predicting the effect of urban noise on the active space of avian vocal signals
Urbanization changes the physical environment of non-human species, but also markedly changes their acoustic environment. Urban noise interferes with acoustic communication in a range of animals including birds, with potentially profound impacts on fitness. However, a mechanistic theory to predict which species of birds will be most affected by urban noise is lacking. We develop a mathematical model to predict the decrease in the active space of avian vocal signals when moving from quiet forest habitats to noisy urban habitats, and find that the magnitude of the decrease is largely a function of signal frequency. However, this relationship is not monotonic. A meta-regression of observed increases in the frequency of birdsong in urban noise supports the model's predictions for signals with frequencies between 1.5 and 4 kHz. Using the results of the meta-regression and the model described above, we show that the expected gain in active space following observed frequency shifts is up to 12%, and greatest for birds with signals at the lower end of this frequency range. Our generally-applicable model, along with three predictions regarding the behavioral and population-level responses of birds to urban noise, represents an important step towards a theory of acoustic communication in urban habitats.
Data from: Grouper (Epinephelidae) spawning aggregations affect activity space of grey reef sharks, Carcharhinus amblyrhynchos, in Pohnpei, Micronesia
Fish spawning aggregations (FSA) act as biological hotspots that concentrate food and nutrients across a broad trophic spectrum. In Pohnpei (Federated States of Micronesia), 20 female grey reef sharks (Carcharhinus amblyrhynchos) were acoustically tagged at two multi-species grouper (Epinephelidae) FSA to examine the likelihood that these mesopredators utilize FSA as a seasonal food source. Both FSA sites are within small-scale MPAs, thus providing a secondary opportunity to examine their conservation potential during these ephemeral events. Shark movement and residency was gauged against known spatial and temporal grouper reproductive patterns using an array of 15 and 50 acoustic receivers at Ant Atoll and Pohnpei (Island), respectively. Activity space was investigated using Kernel Density estimates of individual sharks, and residency indices (RI) were analyzed based on daily and monthly occurrence at the array. Three distinct residency patterns were identified: transient, semi-transient, or resident (Daily RI <0.40, >0.40<0.80, or >0.80, respectively). Generalized linear mixed models (GLMMs) were used to identify biological and environmental factors influencing shark activity space, including month, temperature, shark size, spawning month, and residency pattern. Findings revealed significant changes in average monthly residency indices and kernel densities during spawning months in support of an opportunistic foraging strategy around FSA. Monthly residency was higher during spawning months among semi-resident and transient sharks, while average monthly activity space was concentrated around FSA. Best-fit models for the GLMM indicated that activity spaces were most influenced by month and grouper spawning month. Seven of 20 sharks demonstrated inter-island movement and wide variations in individual movement and spatial requirements were shown. The concentration of sharks and groupers at unprotected FSA sites increases their vulnerability to fishing and supports the need for combined area and non-area management measures to effectively protect these species.
Bats partition activity in space and time in a large, heterogeneous landscape
<p>Diverse species assemblages theoretically partition along multiple resource axes to maintain niche separation between all species. Temporal partitioning has received less attention than spatial or dietary partitioning but may facilitate niche separation when species overlap along other resource axes. We conducted a broad-scale acoustic study of the diverse and heterogeneous Great Smoky Mountains National Park in the Appalachian Mountains. Between 2015 and 2016, we deployed acoustic bat detectors at 50 sites (for a total of 322 survey nights). We examined spatiotemporal patterns of bat activity (by phonic group: Low, Mid, and <i>Myotis</i>) to test the hypothesis that bats partition both space and time. <i>Myotis </i>and Low bats were the most spatially and temporally dissimilar, while Mid bats were more general in their resource use. Low bats were active in early successional openings or low-elevation forests, near water, and early in the evening. Mid bats were similarly active in all land cover classes, regardless of distance from water, throughout the night. <i>Myotis </i>avoided early successional openings and were active in forested land cover classes, near water, and throughout the night. <i>Myotis</i> and Mid bats did not alter their spatial activity patterns from 2015 to 2016, while Low bats did.</p> <p>We observed disparate temporal activity peaks between phonic groups that varied between years and by land cover class. The temporal separation between phonic groups relaxed from 2015 to 2016, possibly related to changes in the relative abundance of bats or changes in insect abundance or diversity. Temporal separation was more pronounced in the land cover classes that saw greater overall bat activity. These findings support the hypothesis that niche separation in diverse assemblages may occur along multiple resource axes and adds to the growing body of evidence that bats partition their temporal activity.</p>
Latent space active learning with message passing neural network: the case of HfO_{2}
<div>A dataset containing the structures obatined from the active learning process and their calculated energies and forces. See more details in our papr "Latent space active learning with message passing neural network: the case of HfO_{2}".</div>
Identification of crashworthy designs combining active learning and the solution space methodology - Validation and training dataset
<p>Dataset and Python codes for training a crashworthiness classifier.</p>
Scaling of activity space in marine organisms across latitudinal gradients
<p>Unifying models have shown that the amount of space used by animals (e.g., activity space, home range) scales allometrically with body mass for terrestrial taxa; however, such relationships are far less clear for marine species. We compiled movement data from 1,596 individuals across 79 taxa collected using a continental passive acoustic telemetry network of acoustic receivers to assess allometric scaling of activity space. We found that ectothermic marine taxa do exhibit allometric scaling for activity space, with an overall scaling exponent of 0.64. However, body mass alone explained only 35% of the variation with the remaining variation best explained by trophic position for teleosts and latitude for sharks, rays, and marine reptiles. Taxon-specific allometric relationships highlighted weaker scaling exponents among teleost fish species (0.07) than sharks (0.96), rays (0.55), and marine reptiles (0.57). The allometric scaling relationship and scaling exponents for the marine taxonomic groups examined were lower than those reported from studies that had collated both marine and terrestrial species data derived using various tracking methods. We propose that these disparities arise because previous work integrated summarised data across many studies that used differing methods for collecting and quantifying activity space, introducing considerable uncertainty into slope estimates. Our findings highlight the benefit of using large-scale, coordinated animal biotelemetry networks to address cross-taxa evolutionary and ecological questions.</p>
Active Class Space Metabolic Benefits Study
ClinicalTrials.gov study NCT02831309. IPD Sharing: NO. Countries: 1. Publications: 4.
Antibiotics and Activity Spaces: An Exploratory Study of Behaviour, Marginalisation, and Knowledge Diffusion
ClinicalTrials.gov study NCT03241316. IPD Sharing: YES. Countries: 2. Publications: 3.
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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.