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30,268 results for “function”
Patterns of object play behaviour and its functional implications in free-flying ravens (supplementary data)
<p>This resource contains the processed data sets and R scripts associated with the article titled "Patterns of object play behaviour and its functional implications in free-flying ravens" authored by Awani Bapat, Anna E Kempf, Salome Friry, Palmyre H Boucherie, Thomas Bugnyar, published in Scientific Reports on 02-01-2025.</p>
Momentum space wave functions for the linear potential
<p>Normalized momentum space wave functions for the linear potential. The Schrödinger equation was solved with the methods described in "A simple high-accuracy method for solving bound-state equations with the Cornell potential in momentum space", Alfred Stadler, Elmar P. Biernat, Vasco Valverde. </p> <table> <tbody> <tr> <td><a href="https://arxiv.org/abs/2407.21789">arXiv:2407.21789</a> [hep-ph]</td> </tr> </tbody> </table> <p>(to be pulished in Physical Review D)</p> <p>The wave functions correspond to the energie eigenvalues shown in Table VI of this work.</p> <p>The name of each file indicates the orbital angular momentum and which eigenstates it contains. For instance, wf_n1-5_l=0_np=1000_NL=5.txt contains the wave functions of the states n=1, 2, 3, 4, 5 for l=0, and wf_n6-10_l=3_np=1000.txt the wave functions of the states n=6, 7, 8, 9, 10 for l=3. Furthermore, np=1000 means that 1000 momentum integration points were used for the solution of the Schrödinger equation, and NL=5 or NL=15 means that 5 or 15 points were used for the Lagrange interpolations.</p> <p>Each data file in text format contains 6 columns and 1000 lines. Column 1 ist the momentum (GeV), columns 2-6 the wave functions. The momenta were generated according to Eq. (4.3) of the article, with p_0=1.</p> <p> </p>
Genome, repeat, and functional annotation associated with the naked mole-rat genome assembly, mHetGlaV3 (GCA_964261345.1)
<p>The naked mole-rat (NMR; Heterocephalus glaber) is a eusocial subterranean rodent with a highly unusual set of physiological traits, such as extreme longevity, that has attracted great interest amongst the scientific community. However, the genetic basis of most of these traits has not been elucidated. To facilitate our understanding of the molecular mechanisms underlying NMR physiology and behaviour, we generated a long-read chromosomal-level genome assembly of the NMR. This genome, mHetGlaV2, was subsequently annotated and incorporated into a “91 eutherian mammals” multiple whole genome alignment in Ensembl. </p> <p>We identified intra-chromosomal misassemblies within mHetGlaV2. We fixed these misassemblies by comparing syntenic blocks between this assembly and the Canadian Porcupine (EreDor) genome assembly (https://www.ncbi.nlm.nih.gov/datasets/genome/GCA_028451465.1/) and a FISH-Karyotype of the naked mole-rat completed by Romanenko et al., 2023 (PMID: 380307020) to address any misassemblies and place centromeres. Chromosome numbering was identified from a composite karyogram of karyotypes from over 350 cells. This scaffold-corrected assembly is labelled mHetGlaV3 (https://www.ebi.ac.uk/ena/browser/view/GCA_964261345.1).</p> <p>This repository stores the repeat, genome, and epigenome annotations for HetGlaV3.</p> <p>mHetGlaV3.primary.gtf.gz. Gene structures and gene symbols are transferred from ENSEMBL annotations of mHetGlaV2 using liftOff with default parameters. Additional gene symbols were identified using TOGA and manual curation.</p> <p>mHetGlaV3.primary.gtf.gz. Simple repetitive regions and transposable elements were annotated using EarlGrey (https://github.com/TobyBaril/EarlGrey) using "Rodentia" annotations for RepeatMasker.</p> <p>mHetGlaV3.primary.genesymbol_table.txt.txt.gz. A tab-delimited file where rows are gene IDs and columns are gene symbols generated with each method. "Consensus" shows the best matching gene symbol for each gene ID.</p> <p>mHetGlaV3.primary_annotated_blacklist.bed.gz. Provides an assembly "blacklist" for mHetGlaV3. This blacklist is a bed file annotating assembly breakpoints between HetGlaV2 and HetGlaV3. This blacklist contains additional columns (e.g., closest gene, overlapping TE etc.) and should therefore be filtered to the first column before being incorporated into traditional genomic pipelines.</p> <p>mHetGlaV3.primary_hypothalamus_ABC_enhancer.bedpe.gz. Activity-By-Contact enhancers (https://github.com/broadinstitute/ABC-Enhancer-Gene-Prediction) generated in the female subordinate naked mole-rat hypothalamus using Hi-C-seq, ChIP-seq of H3K27Ac data, ATAC-seq, and RNA-seq information.</p> <p>mHetGlaV3.primary_hypothalamus_chromHMM.bed.gz. Chromatin states (using Chromhmm) annotating the female subordinate naked mole-rat hypothalamus using H3K4me3 (promoter), H4K4me2 (promoter-enhancer), H3K27Ac (active enhancer), H3K36me3 (elongated), H3K27me3 (polycomb repressed), H3K9me3 (heterochromatin), and CTCF (whole brain) ChIP-seq data, as well as ATAC-seq and RNA-seq data.</p> <p>mHetGlaV3.primary.fa.gz. Genome assembly fasta file for the naked mole-rat (V3, primary assembly). This assembly matches the primary assembly stored on ENA, however the chromosome names match these files, rather than have chromosome names processed by ENA (e.g. chr 1 instead of "OZ179169.1 Heterocephalus glaber genome assembly, chromosome: 1").</p> <p> </p> <p>UPDATES:</p> <p>* The 1.2 update fixed unscaffolded contig names from those used in-lab to those compatible with ENA.</p> <p>* The 1.3 update added small (50~100kbp) contigs onto mHetGlaV3.primary.fa.gz that were filtered before the ENA submission.</p> <p>* The 1.4 update fixed a small chromosome naming inconsistency spotted in the 1.3 update.</p>
Neural correlates of expectations-induced effects of caffeine intake on executive functions
<p><strong>ABSTRACT</strong></p> <p>Placebo effects (PE) are defined as the beneficial psychophysiological outcomes of an intervention that are not attributable to its inherent properties; PE thus follow from individuals’ expectations about the effects of the intervention. The present study aims aimed at examining how expectations influence neurocognitive processes.</p> <p>We will addressed this question by contrasting three double-blinded within-subjects experimental conditions in which participants are were given decaffeinated coffee, while being told they have had received caffeinated (condition i) or decaffeinated coffee (ii), and given caffeinated coffee while being told they have had received decaffeinated coffee (iii).</p> <p>After each of these three interventions, performance and electroencephalogram will bewas recorded at rest as well as during sustained attention Rapid Visual Information Processing task (RVIP) and a Go/NoGo motor inhibitory control task.</p> <p> We first aimed to confirm previous findings for caffeine-induced enhancement on these executive components and on their associated electrophysiological indexes (attentional P3 component, response conflict N2 and inhibition P3 components (ii vs iii contrast); and then to test the hypotheses that expectations also induce these effects (i vs ii), although with a weaker amplitude (i vs iii).</p> <p>Related to the behavioral findings, wWe didn’t not confirm any of our hypotheses for behavioral improvement induced by caffeine intakeon either of the investigate tasks’ measures. Regarding the neurophysiological findingsAt the electrophysiological level, however, we confirmed that caffeine effects on increased the attentional P3 and inhibition P3 components amplitude, but not on the response conflict N2 component. Additionally, wWe dodid not confirm provide evidence that expectations do not influence any of the investigate electrophysiological indexeices. Finally, we confirm that that expectations effects are smaller compared to caffeine effects but only for the Global Field Power parameter related to the attentional P3 component.</p> <p>only for one of the investigated the attentional P3 component’s parameters, and that this effect was smaller than that of</p> <p>We conclude that Hence, previously identified caffeine effects at the behavioral level may have been overestimated and that if while expectations effects have any no influence on sustained attention and inhibitory control, they are small. XXCaffeine effects at the electrophysiological level indicate that it tends to modulate brain areas underlying attentional mechanisms in both RVIP and Go/NoGo tasks rather than being specific to inhibitory control processes.</p>
Inferring size-based functional responses from the physical properties of the medium
<p>Databases used to test the model described in the article "Inferring size-based functional responses from the physical properties of the medium", Frontiers in Ecology and Evolution. Please read the "Readme.pdf" file for detailed information. This file explains all the variables and provides full references for the data in each of the datasets.</p> <p>"Portalier_et_al_2021_Species_Speeds.csv" provides species speeds according to body size for numerous species in aquatic systems.</p> <p>"Portalier_et_al_2021_Predator_Prey_Interactions.csv" provides attack rates, capture probabilities and handling times for numerous predator-prey interactions in aquatic systems.</p>
Data from: Functional structure of European forest beetle communities is enhanced by rare species
<p>From article abstract:</p> <p><a href="https://doi.org/10.1016/j.biocon.2022.109491">https://doi.org/10.1016/j.biocon.2022.109491</a></p> <p><strong>ABSTRACT</strong></p> <p>Biodiverse communities have been shown to sustain high levels of multifunctionality and thus a loss of species likely negatively impacts ecosystem functions. For most taxa, however, the roles of individual species are poorly known. Rare species, often the most likely to go extinct, may have unique traits leading to unique functional roles. Alternatively, rare species may be functionally redundant, such that their loss would not disrupt ecosystem functions. We quantified the functional role of rare species by using capture records of wood-living (saproxylic) beetle species, combined with recent databases of their morphological and ecological traits, from three regions in central and northern Europe. Using a rarity index based on species’ local abundance, geographic range, and habitat breadth, we used local and regional species removal simulations to examine the contributions of both the rarest and the most common beetle species to three measures of community functional structure: functional richness, functional specialization, and functional originality. In both regional species pools and local communities, all three of these measures declined more rapidly when rare species were removed than under common (or random) species removal scenarios. These consistent patterns across scales and among several forest types give evidence that rare species provide unique functional contributions, and that their loss may disproportionately impact ecosystem functions. This implies that conservation measures targeting rare and endangered species, such as preserving intact forests with dead wood and mature trees, can provide broader ecosystem-level benefits. Experimental research linking functional structure to ecosystem processes should be prioritized to increase our understanding of the functional consequences of species loss and to develop more effective conservation strategies.</p> <p> </p> <p><strong>DATASET DESCRIPTION</strong></p> <p>This dataset includes a) beetle capture information and b) beetle trait information from three countries: 1) Norway, 2) Finland, and 3) Germany. </p> <p> </p> <p><strong>FILES</strong></p> <p><strong>readme.txt</strong> -- this has the information from this description section</p> <p><strong>Norway_traits.csv</strong>, <strong>Finland_traits.csv</strong>, <strong>Germany_traits.csv</strong> -- these are the trait files, including all species</p> <p><strong>Norway_sites.species.csv</strong>, <strong>Finland_sites.species.csv</strong>, <strong>Germany_sites.species.csv</strong> -- this has species (rows) by sites (columns); values are the number of beetles caught (for number of traps, dates, and other site covariates, see related dataset: <a href="https://doi.org/10.5061/dryad.tmpg4f50b">https://doi.org/10.5061/dryad.tmpg4f50b</a> and manuscript: <a href="https://doi.org/10.1111/jbi.14272">https://doi.org/10.1111/jbi.14272</a>). Species names follow GBIF taxonomic backbone.</p> <p><strong>Traits_METADATA.csv</strong> -- this has information on all the fields in the trait data</p> <p> </p>
Experimental data for the motor learning study performed: "Towards functional robotic training: Motor learning of dynamic tasks is enhanced by haptic rendering but hampered by robotic assistance"
<p>The dataset contains the kinematic data and the questionnaire responses for a robot-assisted motor learning study performed in the Motor Learning and Neurorehabilitation Laboratory at the University of Bern. The details of the study are described in [doi: ]. The kinematic data for each participant is stored as a data frame inside a “pickle” (serialized python object) file. The questionnaire responses and population metrics are stored as “CSV” files. The variables inside the files are explained in “DataframeVariableDescription.rtf”. For questions, please contact oezhan.oezen@artorg.unibe.ch or L.MarchalCrespo@tudelft.nl.</p>
Zooplankton functional trait database for Canadian lakes
<p>This dataset contains functional traits of 102 crustacean zooplankton taxa sampled in 624 Canadian lakes (Pelagic sample), as well as 58 sub-fossil cladoceran taxa (Sediments sample) sampled in 101 lakes. Lakes were sampled across Canada as part of the NSERC Canadian LakePulse Network. The traits used are: feeding type (B(<em>Bosmina</em>)-filtration, C(<em>Chydorus</em>)-filtration, D(<em>Daphia</em>)-filtration, S(<em>Sidae</em>)-filtration, stationary suspension or raptorial), habitat (littoral, pelagic or intermediate) and trophic group (carnivore, herbivore, omnivore, or a combination of these). Pelagic species length of up to 10 individuals per taxon per lake were measured by BSA Environmental Services (Ohio, U.S.A.), and averaged for each taxon. Sediments sample lengths were either obtained from the literature (Demott & Kerfoot, 1982; Barnett et al., 2007; Griffiths et al., 2019), or from the Pelagic sample length data. Feeding type, habitat and trophic group functional traits were obtained from literature (Demott & Kerfoot, 1982; Barnett et al., 2007; Hébert et al., 2016; Griffiths et al., 2019).</p> <p>References</p> <p>Barnett, A. J., Finlay, K., & Beisner, B. (2007). Functional diversity of crustacean zooplankton communities: Towards a trait-based classification. <em>Freshwater Biology</em>, <em>52</em>(5), 796–813. https://doi.org/10.1111/j.1365-2427.2007.01733.x</p> <p>Demott, W. R., & Kerfoot, W. C. (1982). Competition among cladocerans: nature of the interaction between Bosmina and Daphnia. <em>Ecology</em>, <em>63</em>(6), 1949–1966. https://doi.org/10.2307/1940132</p> <p>Griffiths, K., Winegardner, A. K., Beisner, B. E., & Gregory-Eaves, I. (2019). Cladoceran assemblage changes across the Eastern United States as recorded in the sediments from the 2007 National Lakes Assessment, USA. <em>Ecological Indicators</em>, <em>96</em>, 368–382. 061</p> <p>Hébert, M.-P., Beisner, B. E., & Maranger, R. (2016). A compilation of quantitative functional traits for marine and freshwater crustacean zooplankton. Ecology. https://doi.org/10.1890/15-1275</p>
Summary statistics accompanying the article "Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency" in Scientific Reports (2022)
<p>Summary statistics for genome-wide association studies reported in:</p> <p>Bell, S., Tozer, D.J., & Markus H.S. (2022). Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency. <em>Scientific Reports</em>, DOI: <a href="https://dx.doi.org/10.1038/s41598-022-19106-7">10.1038/s41598-022-19106-7</a>. </p> <p><strong>Abstract</strong></p> <p>Complex brain networks play a central role in integrating activity across the human brain, and such networks can be identified in the absence of any external stimulus. We performed 10 genome-wide association studies of resting state network measures of intrinsic brain activity in up to 36,150 participants of European ancestry in the UK Biobank. We found that the heritability of global network efficiency was largely explained by blood oxygen level-dependent (BOLD) resting state fluctuation amplitudes (RSFA), which are thought to reflect the vascular component of the BOLD signal. RSFA itself had a significant genetic component and we identified 24 genomic loci associated with RSFA, 157 genes whose predicted expression correlated with it, and 3 proteins in the dorsolateral prefrontal cortex and 4 in plasma. We observed correlations with cardiovascular traits, and single-cell RNA specificity analyses revealed enrichment of vascular related cells. Our analyses also revealed a potential role of lipid transport, store-operated calcium channel activity, and inositol 1,4,5-trisphosphate binding in resting-state BOLD fluctuations. We conclude that that the heritability of global network efficiency is largely explained by the vascular component of the BOLD response as ascertained by RSFA, which itself has a significant genetic component.</p> <p> </p> <p>Further information on the files uploaded here can be found in the README. Users interested in bulk downloading these summary statistics may find <a href="https://github.com/dvolgyes/zenodo_get">zenodo_get</a> helpful.</p>
Nanostructured La0.75Sr0.25Cr0.5Mn0.5O3–Ce0.8Sm0.2O2 Heterointerfaces as All-Ceramic Functional Layers for Solid Oxide Fuel Cell Applications
<p>Dataset for article "Nanostructured La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Mn<sub>0.5</sub>O<sub>3</sub>–Ce<sub>0.8</sub>Sm<sub>0.2</sub>O<sub>2</sub> Heterointerfaces as All-Ceramic Functional Layers for Solid Oxide Fuel Cell Applications" published in <em>ACS Appl. Mater. Interfaces</em> 2022.</p> <p>The data includes:</p> <ul> <li>Schematic on the nanostructures fabricated for the work (Figure 1)</li> <li>Top view AFM images of the nanostructures studied (Figure 3)</li> <li>TEM-EDX images of the nanostructures studied (Figure 4)</li> <li>ASTAR analysis of the nanostructures studied (Figure 5)</li> <li>X-Ray Diffraction data of thin films with composition: La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Mn<sub>0.5</sub>O<sub>3</sub> (LSCrMn), Ce<sub>0.8</sub>Sm<sub>0.2</sub>O<sub>2</sub> (SDC), and two La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Mn<sub>0.5</sub>O<sub>3</sub>–Ce<sub>0.8</sub>Sm<sub>0.2</sub>O<sub>2 </sub>(LSCrMn-SDC) nanostructures -bilayer (BL) and nanocomposite (NC)-</li> <li>Electrochemical Impedance Spectroscopy raw data for LSCrMn, SDC and LSCrMn-SDC thin films measured under air and wet hydrogen atmospheres at different temperatures (630-750 ºC)</li> <li>Arrhenius analysis of the area specific resistance (ASR) of the films under air and hydrogen atmospheres</li> <li>In-plane conductivity evolution with temperature data measured under air and 5% hydrogen atmospheres of the two LSCrMn-SDC nanostructures</li> <li>ASR evolution with time measured for over 400 h at 780 ºC</li> </ul>
Upper lithospheric structure of northeastern Venezuela from joint inversion of surface wave dispersion and receiver functions
<p>Dataset from the publication: <strong>Upper lithospheric structure of northeastern Venezuela from joint inversion of surface wave dispersion and receiver functions</strong>. DOI: <a href="https://doi.org/10.5194/egusphere-2022-230">10.5194/egusphere-2022-230</a></p> <p> </p> <p>Includes: <em><strong>EGFs, Dispersion Curves measurements, RFs, Vs3dmodel and Moho depths</strong></em></p> <p> </p>
X-rays across the galaxy population: The distribution of AGN accretion rates as a function of stellar mass and redshift
<p>We provide measurements of the probability distribution function of specific black hole accretion rates within a sample of galaxies of a given stellar mass and redshift, <span class="math-tex">\(p(\log \lambda_{sBHAR} | M_*,z)\)</span>. Measurements are provided for all galaxies, star-forming galaxies and quiescent galaxies. We also provide estimates of the AGN duty cycle, <span class="math-tex">\(f(\lambda_{sBHAR} >0.01)\)</span> i.e. the fraction of galaxies with an AGN above a given limit in specific accretion rate, based on the probability distribution functions. Full details are provided in Aird et al. (2018, MNRAS, 474, 1225); please cite this publication if you use these measurements. </p>
Functional MRI data from medetomidine-isoflurane anesthetized marmosets
<p>This dataset contains unprocessed <strong>functional MRI (fMRI)</strong> data acquired in <strong>common marmosets</strong> (<em>Callithrix jacchus</em>), The data were obtained during a continuous infusion of the sedative <strong>medetomidine</strong>, supplemented with a low concentration of <strong>isoflurane</strong>. All experiments were carried out in accordance with the guidelines from Directive 2010/63/EU of the European Parliament on the protection of animals used for scientific purposes.</p> <p><strong>Related paper</strong></p> <p>This dataset supplements the following <a href="https://www.biorxiv.org/content/10.1101/2023.11.21.568138v1.abstract">manuscript</a>.</p> <p><strong>Preserving functional network structure under anesthesia in the marmoset monkey brain</strong></p> <p>M Ortiz-Rios, N Sirmpilatze, J Koenig, S Boretius - bioRxiv, 2023</p> <p><strong>doi: <a href="https://doi.org/10.1101/2023.11.21.568138">https://doi.org/10.1101/2023.11.21.568138</a> </strong></p> <p><strong>Data structure</strong></p> <p>The main data files are organized into eight zipped folders - <em><strong>sub-02.tar.gz, .... sub-09.tar.gz </strong></em> - each constituting a dataset formatted according to the <a href="https://bids.neuroimaging.io/">Brain Imaging Data Structure</a> specifications (BIDS v1.6.0).</p> <ul> <li>Each BIDS-formatted dataset contains subfolders for individual sessions (e.g. <em><strong>ses-0001</strong>, </em>etc.).Additionally, a text file, <strong><em>participants.tsv</em></strong>, with some essential information about the subjects (e.g. age, weight, sex).</li> <li>Each subject-specific folder contains subfolders named <em><strong>func</strong> </em>and <strong><em>anat</em></strong>, storing fMRI and structural MRI data respectively. The (f)MRI data are provided in <a href="https://nifti.nimh.nih.gov/">NIfTI format</a> (suffixed with <strong><em>.nii.gz</em></strong>). </li> <li>The <em><strong>func</strong></em> files are named as <strong><em>{sub-id}_{ses-id}_{run-id}_{task-id}_bold.nii.gz. </em></strong>The task id is based on runs acquired for resting-state or during visual stimulation.</li> </ul> <p><strong>BIDS-formatted dataset</strong></p> <p>The basic characteristics of the datasets are given below. More details can be found in the <a href="https://www.biorxiv.org/content/10.1101/2023.11.21.568138v1.abstract">preprint</a>.</p> <ol> <li><em><strong>Marmoset</strong></em> <ul> <li><strong>Institution:<em> </em></strong>German Primate Center (Deutsches Primatenzentrum GmbH - Leibniz-Institut für Primatenforschung), Göttingen, Germany</li> <li><strong>MR system:</strong> Bruker BioSpec 9.4 T, equpped with B-GA 20S gradient</li> <li><strong>Anatomical MRI scan:</strong> Proton density-weighted (PDw) with magnetization transfer (MT) pulse, 1 per subject</li> <li><strong>fMRI scan:</strong> GE-EPI, several runs per subject (between 6 and 9 runs), duration 330 s for visual runs and 600 s for resting-state runs, all with a TR of 2 s and a resolution of 0.4 mm isotropic.</li> <li><strong>Subjects:</strong> 8 <em>Callithrix jacchus</em></li> <li><strong>Age range:</strong> 2.6 - 9.5 years</li> <li><strong>Weight range:</strong> 375 - 517 g</li> <li><strong>Sex:</strong> 5 males and 3 females</li> <li><strong>Ethics oversight:</strong> Lower Saxony State Office for Consumer Protection and Food Safety, Hannover, Germany (approval numbers 33.19-42502-04-17/2496)</li> </ul> </li> </ol>
Air Traffic Management hotspots in Europe with airline cost functions
<p>This dataset contains data related to Air Traffic Management hotspots. Hotspots are created in the European airspaces when capacity for some pieces of airspace are foreseen to be infringed due to weather, congestion, strikes, etc. This anonymised dataset records around 5900 hotspots happening at 22 major European airports. These hotspots are generated through a simulator called Mercury that is fed with real data (in particular, real capacity reduction that happened in Europe for over a year, schedules etc) and simulates a day of operation, randomising events like delays, cancellation etc. More details on mercury can be found here [1] and [2].</p> <p>The data, anonymised in terms of airports and airlines, is a dictionary which is structured as follows:</p> <p>- the top level key is the id of the airport, the value is list a of all regulations available for this airport.</p> <p>- each item of the list is a dictionary, with keys:</p> <p> -- 'slot_times': list of all slots available to flights for this hotspot/regulation, in minutes since midnight.</p> <p> -- 'etas': list of initial estimated arrival times of flights involved in the regulation, in minutes since midnight.</p> <p> -- 'flight_ids': list of flight ids (in the same order than etas)</p> <p> -- 'cost_vectors': list of cost vectors. Each item is a list itself, of length equal to the slot_times list. Each element of that list is the estimated cost that the airline owning the flight would incur, were the flight be assigned to this slot, in terms of: maintenance, crew, rebooking fees, market value loss, and curfew infringement, in 2014 euros. This cost is computed within the Mercury model and is based on [3].</p> <p> -- 'airlines_flights': dictionary whose keys are airline ids and values are lists of ids of flights owned by the airline.</p> <p>[1] https://www.sciencedirect.com/science/article/abs/pii/S0968090X21003600 </p> <p>[2] G. Gurtner, L. Delgado, and D.Valput, “An agent-based model for air transportation to capture network effects in assessing delay management mechanisms”, Transportation Research Part C: emerging Technologies, 2021.</p> <p>Pre-print available here: <a href="https://westminsterresearch.westminster.ac.uk/item/v956w/an-agent-based-model-for-air-transportation-to-capture-network-effects-in-assessing-delay-management-mechanisms">https://westminsterresearch.westminster.ac.uk/item/v956w/an-agent-based-model-for-air-transportation-to-capture-network-effects-in-assessing-delay-management-mechanisms</a></p> <p>[3] A. J. Cook and G. Tanner, “European airline delay cost reference values - updated and extended values (Version 4.1),” University of Westminster, London, 2015a</p>
Supporting Material for "Enhancing Mental Health and Cognitive Function in Older Adults: A Swiss Perspective on Public Health Interventions and Stigma Mitigation Strategies Informed by a Desk Review"
<p>This dataset contains all supporting material for the paper "Enhancing Mental Health and Cognitive Function in Older Adults: A Swiss Perspective on Public Health Interventions and Stigma Mitigation Strategies Informed by a Desk Review", published in the journal Swiss Psychology Open:</p> <p><em>Mack, M., Scarampi, C., Joly-Burra, E., Zuber, S., de Freitas, C., Teixeira, R. and Kliegel, M. (2025) ‘Enhancing Mental Health and Cognitive Function in Older Adults: A Swiss Perspective on Public Health Interventions and Stigma Mitigation Strategies Informed by a Desk Review’, Swiss Psychology Open, 5(1), p. 2. Available at: <a href="https://doi.org/10.5334/spo.81.">https://doi.org/10.5334/spo.81</a>.</em></p> <p>It includes the following documents and files:</p> <p><strong>S1. Protocol:</strong> ADVANCE Protocol for desk reviews</p> <p><strong>S2. Search strategy</strong></p> <p><strong>S3. Guidelines for title and abstract screening:</strong> Guidelines for the selection of articles included in the desk review</p> <p><strong>S4. Guidelines full-text screening:</strong> Guidelines for the selection of articles included in the desk review</p> <p><strong>S5. Guidelines data extraction:</strong> ADVANCE Guidelines/codebook data extraction</p> <p><strong>data extraction_desk review_switzerland.xlsx</strong></p> <p>This desk review was conducted as part of the ADVANCE project, which aims to enhance our understanding of mental health promotion and prevention. This desk review evaluates the current state of interventions for mental health and cognitive functioning among older adults in Switzerland focusing on the features of these interventions as well as on Swiss-specific contextual factors that contribute to vulnerability and stigma. This results of the desk review has been submitted for publication to 'LIVES Working Papers' and 'Swiss Psychology Open' . The two versions of the desk review differ slightly. The version for LIVES Working Papers, included the results of the Delphi survey and the resulting intervention scenarios. The version for Swiss Psychology Open, did not include the Delphi survey results and the resulting intervention scenarios, but included a more detailed discussion of the review results.</p>
Dataset Comparison of MRI-based automated segmentation methods and functional neurosurgery targeting with direct visualization of the Ventro-intermediate thalamic nucleus at 7T
<p>Scientific Reports - Nature - DOI : 10.1038/s41598-018-37825-8</p> <p>##################################<br> "Comparison of MRI-based automated segmentation methods and functional neurosurgery targeting with direct visualization of the Ventro-intermediate thalamic nucleus at 7T"<br> ##################################</p> <p>E. Najdenovska*, C. Tuleasca*, J. Jorge, P. Maeder, J.P. Marques, T. Roine, D. Gallichan, J.-P. Thiran, M. Levivier, and M. Bach Cuadra</p> <p>*Equally contributed authors</p> <p><br> Copyright (c) - All rights reserved. University of Lausanne. 2018.</p> <p><br> To reproduce the analyses presented in the referred study, in this repository you could find the MR images acquired from nine young healthy subjects (YS1-YS5), four elderly healthy subject (ES1-ES4) and two drug-resistant tremor patients treated treated with Vim radiosurgery by Gamma Knife (P1 and P2).</p> <p>The provided dataset includes the following NifTI files:</p> <p>- MPRRAGE @3T<br> - DWI @3T (together with the corresponding bvals and bvecs)<br> - MP2RAGE @7T<br> - SWI @7T<br> - binary masks of the manual delineation of both left and right Vim respectively that were done on the SWI (as NifTI files as well).</p> <p>Additionally, for the young cohort (YS1-YS5) we include as well the images used for building the quadrilateral of Guiot:<br> - T2-w @3T<br> - T2 CISS @3T</p> <p>For the patients (P1 and P2), a follow-up MPRAGE (acquired at 3T) with Gadolinium enhancement is also provided.</p> <p>——————————————<br> Notes:<br> 1. For YS3 MP2RAGE at 7T is missing, instead MPRAGE at 3T was used</p> <p>2. The code performing the thalamic nuclei clustering could be found in Zenodo (DOI: 10.5281/zenodo.123768)</p>
CROSS-VALIDATION OF FUNCTIONAL MRI and PARANOID-DEPRESSIVE SCALE: BRAIN SIGNATURES FROM MULTIVARIATE ANALYSIS
<p>Brain signatures identified by bottom-up unsupervised machine learning: three principal components based on activations yielded from the three kinds of diagnostically relevant stimuli are used in order to produce cross-validation markers which may effectively predict the variance on the level of clinical populations and eventually delineate diagnostic and classification groups. The stimuli represent items from a paranoid-depressive self-evaluation scale, administered simultaneously with functional magnetic resonance imaging (fMRI).</p> <p>We have been able to separate the two investigated clinical entities – schizophrenia and recurrent depression by use of multivariate linear model and principal component analysis. This is a confirmation of the possibility to achieve bottom-up classification of mental disorders, by use of the brain signatures relevant to clinical evaluation tests.</p>
Table of associated Legendre functions of the first kind for values on the real axis
<p>This data set is a tabulation of associated Legendre functions of the first, sometimes called the regular solutions, computed for values on the real axis ranging from 0.0 to 10.0.</p> <p>It was created by a new program which has been implemented in C++ using template meta programming, to compute associated Legendre functions of the first and second kind of integer order (l) and degree (m) and complex argument (z). The mathematical equations, along with a short table of values, are given the book (see page 118 and following) </p> <p> Shanjie Zhang and Jianming Jin, Computation of Special Functions,<br> publishers: Wiley, 1996, ISBN: 0-471-11963-6,<br> LC: QA351.C45.</p> <p>The output from this new program has been verified against the tables printed in the book.</p> <p>This data set is provided because</p> <p> i) it covers a wider range of arguments than published in the tables in the book </p> <p> ii) it has many more l,m values than the tables in the book</p> <p>Note that this data set was computed using data type long double on an Intel CPU. </p>
Table of associated Legendre functions of the second kind for values on the real axis
<p>This dataset is a tabulation of associated Legendre functions of the second, sometimes called the irregular solutions, computed for values on the real axis ranging from 0.0 to 10.0.</p> <p>It was created by a new program which has been implemented in C++ using template meta programming, to compute associated Legendre functions of the first and second kind of integer order (l) and degree (m) and complex argument (z). The mathematical equations, along with a short table of values, are given the book (see page 118 and following) </p> <p> Shanjie Zhang and Jianming Jin, Computation of Special Functions,<br> publishers: Wiley, 1996, ISBN: 0-471-11963-6,<br> LC: QA351.C45.</p> <p>The output from this new program has been verified against the tables printed in the book.</p> <p>This dataset is provided because</p> <p> i) it covers a wider range of arguments than published in the tables in the book </p> <p> ii) it has many more l,m values than the tables in the book</p> <p>Note that this data set was computed using data type long double on an Intel CPU. </p> <p> </p>
Functional traits database for North American birds
<p>Estimation of functional diversity in biological communities requires extensive and complete data on numerous functional traits of species or even individuals. When estimating functional diversity at large scales, this fact possesses an issue that may be hard to overcome: for many species, there might not be sufficient data on their functional traits. In such cases, even if there is missing information on functional trait value for one species in a community, this makes the trait impossible to use for the estimation of the functional diversity of a community. On the other hand, there are available datasets on the functional traits of all extant species within certain lineages across the world, but such datasets are often limited to very few functional traits, missing some dimensions of species' ecological niches. In this dataset, I compiled the available data from various sources that describe 23 functional traits of 703 bird species that occur in Canada, the United States, and Mexico. These functional traits include the following: diet type, diurnal and nocturnal feeding, diet items, feeding methods, feeding substrate, nest type, nest substrates, breeding system, chick development at hatching, nest aggregation, clutch size, first breeding age, number of clutches a year, breeding success, adult annual survival, mean biomass, maximum lifespan, hand-wing index, kleptoparasitism, nest parasitism, and the extent of dependency on other species for building a nest.</p>
ScienceDex guides
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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.