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.
274
datasets available to search
ShareScore release 0.9.0
Dataset results
274 results for “data consistency”
Data from: A temporal banding approach for consistent taxonomic ranking above the species level
Comparable taxonomic ranks within clades can facilitate more consistent classifications and objective comparisons among taxa. Here we use a temporal approach to identify taxonomic ranks. This is an extension of the temporal banding approach including a Temporal Error Score that finds an objective cut-off for each taxonomic rank using information for the current classification. We illustrate this method using a data set of the lichenized fungal family Parmeliaceae. To assess its performance, we simulated the effect of taxon sampling and compared our method with the other temporal banding method. For our sampled phylogeny, 11 of the 12 included families remained intact and 55 genera were confirmed, whereas 32 genera were lumped and 15 genera were split. Taxon sampling impacted the method at the genus level, whereas yielded only insignificant changes at the family level. The other available temporal approach also gives a similar cutoff point to our method. Our approach to identify taxonomic ranks enables taxonomists to revise and propose classifications on an objective basis, changing ranks of clades only when inconsistent with most taxa in a phylogenetic tree. An R script to find the time point with the minimal temporal error is provided.
Data from: Social spider webs harbor largely consistent bacterial communities across broad spatial scales
Social animals that live in domiciles constructed from biomaterials may facilitate microbial growth. Spider webs are one of the most conspicuous biomaterials in nature, yet almost nothing is known about the potential for webs to harbor microbes, even in social spiders that live in dense, long-term aggregations. Here, we tested whether the dominant bacteria present in social spider webs vary across sampling localities and whether the more permanent retreat web harbors compositionally distinct microbes from the more ephemeral capture webs in the desert social spider Stegodyphus dumicola. We also sampled spider cuticles and prey items in a subset of colonies. We found that spider colonies across large spatial scales harbored similar web-associated bacterial communities. We also found substantial overlap in bacterial community composition between spider cuticle, prey, and web samples. These data suggest that social spider webs can harbor characteristic microbial communities and potentially facilitate microbial transmission among individuals, and this study serves as the first step towards understanding the microbial ecology of these peculiar animal societies.
Data from: Empirical phylogenies and species abundance distributions are consistent with pre-equilibrium dynamics of neutral community models with gene flow
Community characteristics reflect past ecological and evolutionary dynamics. Here, we investigate whether it is possible to obtain realistically shaped modelled communities – i.e., with phylogenetic trees and species abundance distributions shaped similarly to typical empirical bird and mammal communities – from neutral community models. To test the effect of gene flow, we contrasted two spatially explicit individual-based neutral models: one with protracted speciation, delayed by gene flow, and one with point mutation speciation, unaffected by gene flow. The former produced more realistic communities (shape of phylogenetic tree and species-abundance distribution), consistent with gene flow being a key process in macro-evolutionary dynamics. Earlier models struggled to capture the empirically observed branching tempo in phylogenetic trees, as measured by the gamma statistic. We show that the low gamma values typical of empirical trees can be obtained in models with protracted speciation, in pre-equilibrium communities developing from an initially abundant and widespread species. This was even more so in communities sampled incompletely, particularly if the unknown species are the youngest. Overall, our results demonstrate that the characteristics of empirical communities that we have studied can, to a large extent, be explained through a purely neutral model under pre-equilibrium conditions.
Data release for "Consistent eccentricities for gravitational wave astronomy: Resolving discrepancies between astrophysical simulations and waveform models"
<div> <p>This is a data release to accompany <a href="https://arxiv.org/abs/2402.07892">arXiv:2402.07892</a> "Consistent eccentricities for gravitational wave astronomy: Resolving discrepancies between astrophysical simulations and waveform models".</p> <p>See also <a href="../doi/10.5281/zenodo.10974974">https://zenodo.org/doi/10.5281/zenodo.10974974</a>. Please cite the paper (<a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240207892V/abstract">https://ui.adsabs.harvard.edu/abs/2024arXiv240207892V/abstract</a>) if you use this in a publication or any other scientific work.</p> <p><br>The file can be read in using<br><br>```<br>import pandas</p> <p>data = pandas.read_hdf("CMC_eccentricities_standardized.hdf5")<br>```<br><br>The description of the different keys in the file are as follows:<br><br>- `m1`: source-frame mass of the primary object in the binary in units of Msun<br>- `m2`: source-frame mass of the secondary object in the binary in units of Msun<br>- `chi1`: dimensionless spin of the primary object in the binary<br>- `chi2`: dimensionless spin of the secondary object in the binary<br>- `z`: cosmological redshift<br>- `a0`: Initial separation in AU. This typically corresponds to the stopping criterion in astrophysical simulations.<br>- `e0`: The eccentricity at the initial separation `a0`<br>- `f0`: 22 mode frequency corresponding to the initial separation.<br>- `channel`: Takes values between 1 and 5. <br> - 1: Ejected mergers <br> - 2: In-cluster (two-body) mergers<br> - 3: Binary-Single Encounters<br> - 4: Binary-Binary Encounters<br> - 5: Single-Single Encounters<br>- `cluster_weight`: Weight given to each binary based on cluster properties (mass and metallicity), assuming some initial mass function for the cluster and metallicity evolution as a function of redshift.<br>- `cosmo_weight`: Weight given to each binary based on the redshift, to account for cosmological volume.<br>- `e_W03_*Hz`: Eccentricities extracted from the Wen 2003 prescription at the reference peak frequency specified.<br>- `e_t_2PN_10Hz`: Eccentricities extracted from the prescription in Vijaykumar et. al. 2024 at reference 22 mode frequency of 10 Hz. <br>- `e_t_2PN_Mf_1000HzMsun`: Eccentricities extracted from the prescription in Vijaykumar et. al. 2024 at reference 22 mode frequency corresponding to `M \times f = 1000 Hz Msun`. This ensures that eccentricity is defined at a fixed number of cycles before merger, independent of the cosmological redshift.<strong> We strongly recommend that all eccentricity estimates from astrophysical simulations are quoted at a reference frequency corresponding to fixed `M \times f`.</strong><br>- `total_weight`: `cosmo_weight \times cluster_weight`<br><br><strong>NOTE</strong>: For mergers belonging to `channel=1`, we straightaway set the `e_t_*` estimates to zero. This is because mergers from this channel will not be eccentric at `f>10 Hz`, and due to its large initial separation is computationally intensive to evolve using the PN evolution equations.</p> <p> </p> </div>
Australian fur seal foraging consistency data
<p>Substantial variation in foraging strategies can exist within populations, even those typically regarded as generalists. Specialisations arise from the consistent exploitation of a narrow behavioural, spatial or dietary niche over time, which may reduce intra-specific competition and influence adaptability to environmental change. However, few studies have investigated whether behavioural consistency confers benefits at the individual and/or population level. While still recovering from commercial sealing over-exploitation, Australian fur seals (AUFS; <i>Arctocephalus pusillus doriferus</i>) represent the largest marine predator biomass in south-eastern Australia. During lactation, female AUFS adopt a central-place foraging strategy and are, thus, vulnerable to changes in prey availability. The present study investigated the population-level repeatability and individual consistency in foraging behaviour of 34 lactating female AUFS at a south-east Australian breeding colony between 2006 and 2019. Additionally, the influence of individual-level behavioural consistency on indices of foraging success and efficiency during benthic diving was determined. Low to moderate population-level repeatability was observed across foraging behaviours, with the greatest repeatability in the mean bearing and modal dive depth. Individual-level consistency was greatest for the proportion of benthic diving, total distance travelled and trip duration. Indices of benthic foraging success and efficiency were positively influenced by consistency in the proportion of benthic diving, trip duration and dive rate but not influenced by consistency in bearing to most distal point, dive depth or foraging site fidelity. The results of the present study provide evidence of the benefits of consistency for individuals, which may have flow-on effects at the population level.</p>
Data from: Identifying consistent allele frequency differences in studies of stratified populations
1. With increasing application of pooled-sequencing approaches to population genomics robust methods are needed to accurately quantify allele frequency differences between populations. Identifying consistent differences across stratified populations can allow us to detect genomic regions under selection and that differ between populations with different histories or attributes. Current popular statistical tests are easily implemented in widely available software tools which make them simple for researchers to apply. However, there are potential problems with the way such tests are used ,which means that underlying assumptions about the data are frequently violated. 2. These problems are highlighted by simulation of simple but realistic population genetic models of neutral evolution and the performance of different tests are assessed. We present alternative tests (including GLMs with quasibinomial error structure) with attractive properties for the analysis of allele frequency differences and re-analyse a published dataset. 3. The simulations show that common statistical tests for consistent allele frequency differences perform poorly, with high false positive rates. Applying tests that do not confound heterogeneity and main effects significantly improves inference. Variation in sequencing coverage likely produces many false positives and re-scaling allele frequencies to counts out of a common value or an effective sample size reduces this effect. 4. Many researchers are interested in identifying allele frequencies that vary consistently across replicates to identify loci underlying phenotypic responses to selection or natural variation in phenotypes. Popular methods that have been suggested for this task perform poorly in simulations. Overall, quasibinomial GLMs perform better and also have the attractive feature of allowing correction for multiple testing by standard procedures and are easily extended to other designs.
Data for Consistent greenhouse accounting identifies forests and land use as crucial determinants of climate
<p>Data supporting the article Wedderburn-Bisshop, G. Consistent greenhouse accounting identifies forests and land use as crucial determinants of climate </p>
Data from: Social spider webs harbor largely consistent bacterial communities across broad spatial scales
Open the record for dataset details and reuse information.
Data from: Empirical phylogenies and species abundance distributions are consistent with pre-equilibrium dynamics of neutral community models with gene flow
Open the record for dataset details and reuse information.
Data from: Predictability as a personality trait: consistent differences in intraindividual behavioral variation
Open the record for dataset details and reuse information.
Data from: Identifying consistent allele frequency differences in studies of stratified populations
Open the record for dataset details and reuse information.
Australian fur seal foraging consistency data
Open the record for dataset details and reuse information.
Data from: A temporal banding approach for consistent taxonomic ranking above the species level
Open the record for dataset details and reuse information.
Data from: No consistent pollinator-mediated impacts of alien plants on natives
Open the record for dataset details and reuse information.
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.