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23,351 results for “Comparative”
Data files related to the article "Different meditation practices share the same neuronal correlates: increased gamma brainwave amplitude compared to control in three different meditation traditions
<p>Files description:</p> <p>- EEG datasets: the EEG data preprocessed in EEGLAB format</p> <p>- chanlocs.mat: contains channel characteristics for the study / used<br> to plot topographical maps of the data</p> <p> - 60110Hz_spec_data_imw_medit_combined.mat : contains spectrum data between 60 and 110 Hz for all 4 groups of subjects in combined instructed mind-wandering and meditation condition</p> <p> - 60110Hz_spec_data_medit.mat : contains spectrum data between 60<br> and 110 Hz for all 4 groups of subjects in meditation condition</p> <p> - 711Hz_spec_data_medit: contains spectrum data between 7 and 11 Hz for each group in meditation condition</p> <p>- boxplot_gamma.csv and boxplot_alpha.csv : median spectrum in the gamma and alpha ranged used to generate figure 4 B and 6 B</p> <p>- R_code_boxplot.r : code to generate boxplot using boxplot_gamma or boxplot_alpha.csv files</p>
Fig. 2 in Comparative phylogeography of bamboo bats of the genus Tylonycteris (Chiroptera, Vespertilionidae) in Southeast Asia
Fig. 2. Bayesian tree obtained from the analyses of COI and Cytb genes. The values on the nodes indicate posterior probabilities (PP). In the COI tree, PPs were calculated from two DNA alignments of CO1 sequences (728 nt or 291 nt; see text for details). The sequence HM914921 was obtained from a specimen originally identified as T. robustula. In the Cytb tree, the sequence EU521635 was obtained from a specimen originally identified as T. robustula.
The angular gyrus is a supramodal comparator area in action-outcome monitoring
<p>Dataset related to the following publication:</p> <p>van Kemenade, B.M., Arikan, B.E., Kircher, T., & Straube, B. (2017). The angular gyrus is a supramodal comparator area in action-outcome monitoring. <em>Brain Structure & Function</em></p>
Does external pneumatic compression treatment between bouts of overreaching resistance training sessions exert differential effects on molecular signaling and performance-related variables compared to passive recovery? An exploratory study
<p>Supplemental Information: Data set respective to manuscript published in PLOS ONE titled "<strong>Does external pneumatic compression treatment between bouts of overreaching resistance training sessions exert differential effects on molecular signaling and performance-related variables compared to passive recovery? An exploratory study" </strong></p>
Pain Experiences of Patients with Musculoskeletal Pain and Central Sensitization: A comparative Group Delphi Study
<p>Central sensitization (CS) is regarded as an important contributing factor for chronification of musculoskeletal pain (MSP). It is crucial to identify CS, as targeted multimodal treatment may be indicated. The primary objective of this study was therefore to explore pain experience of individuals with MSP+CS in order to gain a better understanding of symptoms in relation to CS from a patient perspective. The secondary objective was to investigate whether pain experiences of patients with MSP+CS differ from those of individuals with neuropathic pain (NP).</p>
Rapid establishment of species barriers in plants compared to animals
<p><strong>fasta_sequences.zip: </strong>Plant datasets used for demographic inference in the "plants versus animals" comparison.<br>Each archive corresponds to a genus, with the exception of <em>Howea</em> and <em>Linospadix</em>, which are treated as a single dataset.<br>These archives contain at least one "<em>genus</em>_populations.fasta" file corresponding to the individual genotypes used for inferences.<br>Where required, there is also a "<em>genus</em>_reference.fasta" file corresponding to the reference used for read mapping.<br>All references used are coding sequences (CDS).</p> <p><strong>figures.zip: </strong>Figures of the article, produced by the script <em>scripts/figures_plants_animals.R</em> using data from <em>results/</em></p> <p><strong>results.zip:</strong> Include information about the different species pairs in plants and animals, such as the statistics used for demographic inferences, the results of these inferences, geographic distances, and the outcomes of the goodness-of-fit tests.</p> <p><strong>results_selfing_estimates_per_species.zip: </strong>Selfing rate estimates for surveyed plant species.</p> <p><strong>scripts.zip:</strong> R-script used to perform statistical analyses on data from the <em>results.zip</em> file and to generate the main and supplementary figures.</p> <p><strong>QuIBL_DILS.zip:</strong> Scripts, simulated datasets, and figures for the QuIBL and DILS comparison.</p> <p><strong>Auxiliary_Tables.ods: </strong>Auxiliary tables providing supplementary data and results supporting the analyses presented in the manuscript, including demographic inference statistics, selfing rate estimates, and geographic distance measurements</p> <p> </p> <p> </p> <p> </p>
GPT-4 Shows Comparable Performance to Human Examiners in Ranking Open-Text Answers
<p>This repository contains all datasets used in the research paper:<br>"GPT-4 Shows Comparable Performance to Human Examiners in Ranking Open-Text Answers"</p> <p>Files and Descriptions</p> <ol> <li> <p>Data_complete_Can_GPT_Replace_Human_Examiners.xlsx<br>Contains two sheets:</p> </li> </ol> <ul> <li> <p>Data – Main analysis dataset for Ranking and Point Assessment of Five Answers.</p> </li> <li> <p>Robustness & Extensions – Data for Robustness & Extensions, covering Ranking and Point Assessment of Five Answers.</p> </li> </ul> <ol> <li> <p>point_assessment_single_answer_all_robustness_score.xlsx<br>Contains all data related to robustness checks for Point Assessment of Single Answers.</p> </li> <li> <p>point_assessment_single_answer.xlsx<br>Contains the main dataset for Point Assessment of Single Answers (excluding robustness checks).</p> </li> </ol> <p> </p> <p>Note: Any variable termed GPT is output of the model as under <a href="https://openai.com/policies">OpenAI Terms & policies.</a></p> <p> </p>
Harvard Museum of Comparative Zoology
Data from the ten research collections of the Museum of Comparative Zoology at Harvard University.<p></p>Data from the ten research collections of the Museum of Comparative Zoology at Harvard University.
FSC-certified forest management benefits large mammals compared to non-FSC
<p><strong>Data for:</strong> <br>Zwerts, J.A., Sterck, E.H.M., Verweij, P.A. <em>et al.</em> FSC-certified forest management benefits large mammals compared to non-FSC. <em>Nature</em> <strong>628</strong>, 563–568 (2024). https://doi.org/10.1038/s41586-024-07257-8</p> <p><strong>Abstract</strong><br>Over a quarter of the world's tropical forests are exploited for timber. This has extensive impacts on biodiversity and ecosystems, primarily through the creation of roads which facilitates hunting for wildlife over extensive areas. Forest management certification schemes such as the Forest Stewardship Council (FSC) are expected to mitigate impacts on biodiversity but to date very little is known about the effectiveness of FSC certification due to research design challenges, predominantly due to limited sample sizes. Here we provide this evidence by using 1.3 million camera trap photos of 55 mammal species in 14 logging concessions in Western Equatorial Africa. We observed higher mammal encounter rates in FSC-certified than in non-FSC logging concessions. The effect was most pronounced for species weighing over 10 kg, and for species of high conservation priority such as the Critically Endangered forest elephant and western lowland gorilla. Across the whole mammal community, non-FSC concessions contained proportionally more rodents and other small species than FSC-certified concessions. Our findings provide convincing data that FSC-certified forest management is less damaging to the mammal community than non-FSC forest management. This study provides strong evidence that FSC-certified forest management, or equivalently stringent requirements and controlling mechanisms, should become the norm for timber extraction to avoid half-empty forests dominated by rodents and other small species. </p> <p><strong>Data collection</strong></p> <p>We set up arrays of camera traps from 2018 to 2021 in 14 logging concessions owned by 11 different companies (5 FSC and 6 non-FSC) in Gabon and the Republic of Congo. Seven FSC-certified concessions were each paired to the closest non-FSC concession that was similar in terms of terrain and forest type1. All concessions are situated in a matrix of connected forests. Within each pair of concessions, camera traps (Bushnell Trophy Cam HD for pairs 1 - 6 and Browning 2018 Spec Ops Advantage for pair 7) were deployed simultaneously to account for seasonal differences, for two to three months. There was one exception where Covid restrictions obliged the cameras to remain in place for longer. Camera trap grid locations within each pair of concessions were chosen based on similarity between potential drivers of mammal abundance, including distance to settlements, roads, rivers, protected areas, elevation and time since logging (2-10 years before our study), although some camera grids overlapped older logging blocks. Camera traps were set out in systematic, one-kilometre spaced grids with a random start point. Upon reaching the predetermined GPS locations, the first potential installation location was used where cameras had at least 4 metres of visibility. This ensured that each grid was representative of environmental heterogeneity: i.e. not specifically targeting nor ignoring trails or other landscape elements that could influence detection2. The one-kilometre inter-camera distance exceeds most species' home range sizes to avoid spatial autocorrelation. Neither were species expected to migrate within the sampling duration of the study. Between 28 to 36 cameras were deployed in each concession, totalling up to 474 camera traps, distributed over 474 km2. Cameras were installed at a height of 30 cm to enable observations of mammals of all sizes while ensuring that each camera had at least four metres visibility in front of it. Cameras were programmed to take bursts of three photos to maximize the chance of detection and to take a photo every 12 hours for correct calculation of active days in the event of a defect before the end of the deployment period. For each camera, we recorded whether there was an elephant path skidder trail, small wildlife trail, or none of the above within each camera's field of view. We also visually estimated forest visibility (0-10m / 11-20m / >20m), slope (0-5° / 5-20° / >20°), presence of fruiting trees within 30 m and presence of small water courses within 50 m. When approaching each predefined camera point, we counted cartridges, snares and hunting camps from 500 m before the camera up to its location. Various field teams were employed in different sites and hence there may be some influence interobserver bias of hunting observations between sites.</p> <p><strong>Photo processing and data analysis</strong></p> <p>Camera trap efforts yielded 1,278,853 photos, including 645,165 photos with animals. All photos were annotated in the program Wild.ID, version 1.0.1. We identified animals up to the species level if photo quality permitted and otherwise designated the species as 'indet'3. As reliable species identification of small mammals is difficult, they were grouped into squirrels, rats and mice and shrews. Rare observations of humans, birds, bats, reptiles and domestic dogs were excluded from the analyses.</p> <p>Observations of the same species that were at least 10 minutes apart were considered as separate detections. We assessed the influence of this threshold by calculating the number of detections for intervals of 10, 30, 60 and 1440 minutes, which all yielded similar numbers of observations. When multiple animals were observed, the number of individuals was determined by taking the highest number of individuals in a photo within the 10-minute threshold. Sampling effort was defined as the number of camera days minus down time due to malfunctioning cameras or obstruction of vision by vegetation. </p> <p>Mammal behaviour may be different in hunted concessions, as mammals may be shyer for non-natural objects like camera traps, which would in turn negatively affect their probability of detection. If this dynamic indeed existed, this shyness was assumed to fade over time with habituation to the materials, resulting in an increase of observations over time. We tested for an interaction between certification status and the number of observations over time using a linear model with a log transformed number of observations for the first 65 days of all deployments, as that was the shortest concession deployment period, ensuring that all concessions were equally represented, but did not find that FSC certification was related to a trend in observations over time. We recognize however that other factors may exist that may have influenced detection probability, such as movement rates, which may be affected by hunting.</p> <p>For each species for each concession, we calculated encounter rate, weighted by group size, as the number of observations divided by the sampling effort and we reported all findings using the metric "Observations / day". Encounter rate was calculated for all species combined, per weight class, per taxonomic group, per IUCN Red List category and within taxonomic groups for large versus small forest antelopes, carnivores, primates and pangolins. Body weight of each species was determined by taking the mean across sexes3. Taxonomic groups Hyracoidea and Tubulidentata were excluded from the taxonomic analysis due to low sample sizes. Shrews were included as rodents in the taxonomy analysis even though they are formally not, because they are difficult to distinguish from mice. We consider this acceptable given that shrews are functionally very similar to rodents in the light of this study. Lastly, to study the impact of certification on total estimated faunal biomass, the encounter rate of each species was multiplied by its average weight divided by the sampling effort.</p> <p>To assess whether encounter rates varied between FSC and non-FSC concessions, we quantified the means of the paired concessions using linear mixed-effects models with concession pairs, concessions and cameras as random effects, whereby cameras were nested within concessions within concession pairs, in a multi-level random effect structure. We allowed the means of concession pairs to vary between weight class, taxonomic group and IUCN Red List category if supported by model selection. We tested whether potential drivers of mammal abundance were important using a model-selection approach based on minimization of Bayesian Information Criterion (BIC) values. We found that the inclusion of geographic covariates did not substantially improve the model for weight classes, taxonomic groups and IUCN categories. Only for all mammals pooled together , the inclusion of elevation and distance to rivers resulted in slightly improved models, but differences were negligible and did not support strong evidence for a significant influence of these covariates4. Quadratic geographic covariate terms and camera trap site covariates did not result in better models. Post hoc comparisons were multivariate t adjusted. We used two-sided Wilcoxon signed-rank tests for all other analyses. Statistical analyses were performed in R version 4.2.2.</p> <p> </p> <p><strong>References</strong></p> <ol> <li>Grantham, H. S. <em>et al.</em> Spatial priorities for conserving the most intact biodiverse forests within Central Africa. <em>Environmental Research Letters</em> <strong>15</strong>, 0940b5 (2020).</li> <li>Zwerts, J. A. <em>et al.</em> Methods for wildlife monitoring in tropical forests: Comparing human observations, camera traps, and passive acoustic sensors. <em>Conserv Sci Pract</em> <strong>3</strong>, e568 (2021).</li> <li>Kingdon, J. <em>The Kingdon field guide to African mammals</em>. (Bloomsbury Publishing, 2015).</li> <li>Anderson, D. R. <em>Model based inference in the life sciences: a primer on evidence</em>. vol. 31 (Springer, 2008).</li> </ol> <p> </p> <p> </p>
Figure 35 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 35. Paratype, Bemisia rosae Danzig, 25 km s/o Orapa?, 10-VI-78, ex: rose, E. Danzig, coll.
Fig. 5 in Comparative Biology Of Cave-Dwelling Spitting Spiders (Araneae: Scytodidae): Parental Care, Cooperative Prey-Capture, Cannibalism, Natal Dispersal And Reproductive Behaviour
Fig. 5. Scytodes fusca female leaving her egg-sac aside to forage on the house fly.
Comparing plasma and skin imprint metabolic profiles in COVID-19 diagnosis and severity assessment_dataset
<p>As SARS-CoV-2 continues to produce new variants, the demand for diagnostics and a better understanding of COVID-19 remain key topics in healthcare. Skin manifestations have been widely reported in cases of COVID-19, but the mechanisms and markers of these symptoms are poorly described. In this cross-sectional study, 101 patients (64 COVID-19 positive patients and 37 controls) were enrolled between April and June 2020, during the first wave of COVID-19, in São Paulo, Brazil. Enrolled patients had skin imprints sampled non-invasively using silica plates; plasma samples were also collected. Samples were used for untargeted lipidomics/metabolomics through high-resolution mass spectrometry. We identified 558 molecular ions, with lipids comprising most of them. We found 245 plasma ions that were significant for COVID-19 diagnosis, compared to 61 from the skin imprints. Plasma samples outperformed skin imprints in distinguishing patients with COVID-19 from controls, with F1-scores of 91.9% and 84.3%, respectively. Skin imprints were excellent for assessing disease severity, exhibiting an F1-score of 93.5% when discriminating between patient hospitalization and home care statuses. Specifically, oleamide and linoleamide were the most discriminative biomarkers for identifying hospitalized patients through skin imprinting, and palmitic amides and N-acylethanolamine 18:0 were also identified as significant biomarkers. These observations underscore the importance of primary fatty acid amides and N-acylethanolamines in immunomodulatory processes and metabolic disorders. These findings confirm the potential utility of skin imprinting as a valuable non-invasive sampling method for COVID-19 screening; a method that may also be applied in the evaluation of other medical conditions.</p><p>Journal of Molecular Medicine https://doi.org/10.1007/s00109-023-02396-3</p>
Lost in translation: A historical-comparative reconstruction of Proto-Khoe-Kwadi based on archival data - Supplementary Material
<p>Supplementary Materials 1-4 for the following article: </p><p>Fehn, Anne-Maria & Jorge Rocha. 2023. Lost in translation: A historical-comparative reconstruction of Proto-Khoe-Kwadi based on archival data. Diachronica. https://doi.org/10.1075/dia.23022.feh.</p>
Quality of life for patients with cutaneous leishmaniasis: a comparative analysis of the EQ-5D-3L and CLIQ questionnaires.
<p>This dataset contains quality of life surveillance results for patients with cutaneous leishmaniasis, Brazil, focusing in a comparative analysis of the EQ-5D-3L and CLIQ questionnaires.</p>
Data from: "A framework for performing comparative LCA between repairing flooded houses and construction of dikes in non-stationary climate with changing risk of flooding"
<p>In the paper "A framework for performing comparative LCA between repairing flooded houses and construction of dikes in a non-stationary climate with changing risk of flooding", life cycle assessment is used to compare two ways to maintain the state of a coastal urban area in a changing climate with increasing flood risk. On one side, the construction of a dike, a hard and proactive scenario, is modeled using a bottom-up approach. On the other, the systematic repair of houses flooded by sea surges, a post-disaster measure, is assessed using a Monte Carlo simulation allowing for aleatory uncertainties in predicting future sea level rise and occurrences of extreme events. Two metrics are identified, normalized mean impacts and probability of dike being most efficient. The methodology is applied to three case studies in Denmark representing three contrasting areas, Copenhagen, Frederiksværk, and Esbjerg. For all case studies the distribution of the calculated impact of repairing houses is highly right skewed, which in some cases has implications for the comparative LCA. </p><p>This dataset contains the underlying data to support the findings of the paper. In particular, two sets of characterized environmental impacts are reported: (1) the impacts of flood-related repairs summed over a century, for each Monte Carlo simulation and (2) the impacts of building a dam. Both sets of results are reported for each of the three cities studied.</p>
Non-Perennial rivers and streams under hydrological stress – comparing the effectiveness of amplicon sequencing and digital microscopy for diatom biodiversity appraisal
<p>ABC is project leader, data collector, contact person, etc.</p>
Data from: To hatch and hatch not: Rejecting the hypothesis that heterochrony in vestibular mechanosensing explains poor escape-hatching success of Agalychnis spurrelli in snake attacks compared with its congener A. callidryas
<p>Phyllomedusid treefrogs hatch prematurely to escape egg predation, but escape success varies among species. During spontaneous hatching of <em>Agalychnis</em> <em>spurrelli</em>, snake attacks elicited 55% less escape-hatching than did attacks on less developed <em>A. callidryas</em>. <em>Agalychnis</em> <em>callidryas</em> use their vestibular system and, secondarily, their lateral line to sense physical disturbances that cue hatching. Since <em>A. spurrelli </em>develop faster, we hypothesized that heterochronic shifts in the onset timing of vestibular mechanosensory function, relative to hatching ability, might explain their lower escape response to mechanosensory cues. To test this, we compared the onset timing of hypoxia- and mechanosensory-cued hatching (MCH) and vestibular mechanosensory function in developmental series of <em>A. spurrelli</em> and <em>A. callidryas</em> embryos. Across species, most sibships began responding to each cue at the same developmental stage. MCH onset in A. spurrelli was associated with vestibular function onset, as indicated by measurements of the vestibulo-ocular reflex (VOR). Indeed, the first <em>A. spurrelli</em> embryos to show MCH had VOR amplitudes similar to those previously found for <em>A. callidryas</em> at the onset of MCH. These results indicate that low escape-hatching success in <em>A. spurrelli</em> is not caused by a relative delay in the onset of vestibular mechanosensory function, rejecting our initial hypothesis; the developmental timing of vestibular mechanosensing and its role in predator-induced hatching appears conserved. Our observations of both higher escape success of larger clutches in snake attacks and hatching complications in flooded A. spurrelli suggest, instead, that differences in egg capsule and clutch structure may contribute to species differences in escape-hatching success.</p>
Exploring Cellular Dynamics: A Comprehensive Analysis of SH-SY5Y Cell Growth in Variable Polycarbonate Chambers and Comparative Insights with Standard Petri Dishes
<div> <div> <div> <div> <div> <div> <p>The provided illustrations delineate the proliferation of SH-SY5Y cells within polycarbonate chambers with varying diameters, ranging from 3 mm to 50 mm. HBE and HeLaGFP cells serve as points of comparison. Five microscopic images were captured for each culture plate, one at the central location and four at random sites. To trace the growth trajectory across different chamber sizes, images from various culture days underwent manual binarization using GIMP and/or ImageJ software. The resulting binarized images can be accessed in the 'masks' directories within the zipped files, corresponding to the attached images. Comparative analysis of cell growth within these chambers was conducted against growth observed in standard 60 mm Petri dishes from Corning.</p> <p>For monitoring cell growth, we employed an Olympus phase-contrast microscope (CKX53) equipped with a DLT camera (DLT-Cam PRO 1080 HDMI USB).</p> <div> <div> <div> <p>The file nomenclature employed herein serves to represent the primary experimental conditions under consideration. It comprises a hierarchical structure, encompassing various parameters as follows: cellsName_passageNumber_cellSuspension_measurementDayNumber_chamberDiameter_regionNumber_hOfFluids_number.</p> <p>The cellsNames parameter encapsulates the complete nomenclature of the cells utilized in the experiment.</p> <p>The passageNumber parameter represents the passage number and is encoded as 'pNumber.'</p> <p>The cellSuspension parameter is denoted by distinct codes:</p> <ul> <li>'c1' designates a cell suspension with a concentration of 5x10^5 cells/ml.</li> <li>'c3' signifies a cell suspension with a concentration of 1x10^5 cells/ml.</li> <li>'c4' denotes a cell suspension with a concentration of 5x10^4 cells/ml.</li> </ul> <p>The measurementDayNumber parameter is encoded as 'afterXXXdays,' signifying the number of culture days.</p> <p>The 'd' followed by a number (e.g., d6, d8, d10, d12, d15) indicates the diameter of the chamber in millimeters. In a given series of files (e.g., 1day_d6_1, 1day_d6_2, 1day_d6_3, 1day_d6_4, 1day_d6_5), the trailing numeral (_1, _2, _3, _4, _5) corresponds to a photograph captured in a distinct region of the sample.</p> <p>The hOfFluids parameter is employed to signify the height ('h') of the fluid above the cells in the chamber, expressed in millimeters.</p> <div> <div> <div> <p>In adherence to the aforementioned conventions, every file name serves to distinctly characterize a particular collection of experimental conditions. This practice enhances both the comprehensibility and systematic organization of the data. It is noteworthy that the complete set of parameters may not always be provided; for instance, the height of the column of medium is assumed to be 2 mm unless otherwise specified.</p> </div> </div> </div> </div> </div> </div> <br> <p> </p> </div> </div> </div> </div> </div> </div>
Comparative Analysis of Methods to Estimate Geodetic Strain Rates from GNSS Data in Italy
<p>This dataset comprises GNSS velocity field and strain rate maps for Italy.</p> <p><strong>List of Files:</strong></p> <ol> <li> <p><strong>velocity_dataset.dat</strong></p> <ul> <li>GNSS velocity field of stations with time series longer than 4.5 years.</li> <li>Columns: Longitude (degrees), Latitude (degrees), East component of velocity (mm/yr), North component of velocity (mm/yr), Uncertainty on the East component (mm/yr), Uncertainty on the North component (mm/yr), Station Name.</li> </ul> </li> <li> <p><strong>velocity_dataset_filtr.dat</strong></p> <ul> <li>Filtered velocity field.</li> <li>Columns: Longitude (degrees), Latitude (degrees), East component of velocity (mm/yr), North component of velocity (mm/yr), Uncertainty on the East component (mm/yr), Uncertainty on the North component (mm/yr), Station Name.</li> <li>Stations ending with 'GPM' represent velocity values obtained by merging neighboring stations.</li> </ul> </li> <li> <p><strong>strain_rate_nn.dat (strain_rate_visr.dat, strain_rate_wav.dat)</strong></p> <ul> <li>Strain rate computed on cells spaced by 0.025°.</li> <li>Suffixes in the file names: 'nn' refers to the Nearest Neighbor method, 'visr' refers to the VISR method, and 'wav' refers to the Wavelet-based method</li> <li>Columns: Longitude (degrees), Latitude (degrees), exx (east) component of the strain rate tensor (nstr/yr), exy (east, north) component of the strain rate tensor (nstr/yr), eyy (north) component of the strain rate tensor, second invariant of the strain rate (nstr/yr), most extensive eigenvalue (nstr/yr), most compressive eigenvalue (nstr/yr), angle between north and the direction of the eigenvector corresponding to the most compressive eigenvalue (degrees, positive clockwise).</li> </ul> </li> </ol> <p><strong>Reference:</strong></p> <p>For further details, please refer to the article "Comparative Analysis of Methods to Estimate Geodetic Strain Rates from GNSS Data in Italy", published in <em>Annals of Geophysics</em>.</p>
Pattern and driver of the compositional variations in a tropical cloud forest: Comparing vascular epiphytes with terrestrial woody plants
<p>β-diversity patterns (the compositional variations across sites) and their drivers are the major concerns of biodiversity research and conservation practices, whereas such information remains scarce for vascular epiphytes, especially in tropical forest communities. This study aimed to reveal the pattern and driving process of the compositional variations of vascular epiphytes in a tropical cloud forest on Hainan island, southern China, and their differences from those of terrestrial woody plants. To this end, we quantified their between-habitat compositional variations and distinguished the underlying components of β-diversity (nestedness and turnover). We then examined the relative roles of niche-based and neutral processes in driving the compositional variations by using a null model approach. Our results showed that the between-habitat compositional variations were significant for both plant assemblages and stronger in vascular epiphytes than in terrestrial woody plants. The turnover component of β-diversity was significantly stronger in terrestrial woody plants, accounting for 73.16%–80.08% of the variations. By contrast, the nestedness component was significantly stronger in vascular epiphytes and characterized 46.82%–67.5% of the variations. Besides, the compositional variations of both plant assemblages, especially terrestrial woody plants, were generally poorly fitted by the simulated niche-based scenarios but well fitted by the simulated neutral scenarios. Overall, the compositional variations of both plant assemblages were significant and mainly due to dispersal limitation, albeit to varying degrees. Hence, further studies of these plant assemblages at local scales should not be ideologically limited to the niche-based framework. Moreover, the stronger nestedness observed in vascular epiphytes suggests the greater importance of prioritizing conservation efforts in the species-rich habitats for these plants.</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.