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230
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ShareScore release 0.9.0
Dataset results
230 results for “Data Aggregation”
Data for: Fungal parasitism on diatoms alters formation and bio–physical properties of sinking aggregates: Particle analyses
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Monthly aggregated climate projections of IPSL-CM5A-LR ISIMIP2a fasttrack data for the BES SIM study
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Data from: Attack and aggregation of a major squash pest: parsing the role of plant chemistry and beetle pheromones across spatial scales
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Data from: Mechanisms of aggregation in an ant-tended treehopper: attraction to mutualists is balanced by conspecific competition
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Data for: Investigating the aggregation and prionogenic properties of human cancer-related proteins
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Data from: Evaluating the role of frequency-dependent selection in controlling the expansion of clonal aggregations in the tropical forest's understory: Insights from a decade-long experiment.
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Data from: Selective removal of astrocytic PERK protects against glymphatic impairment and decreases toxic aggregation of β-amyloid and tau
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Data from: Individual phenotypic variability in the behaviour of an aggregative riverine fish is structured along a reactive-proactive axis (THERMOS_FishExp_Behaviour)
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Data from: Bed bug preferences for host odor or aggregation odor are differentially modulated by physiological state in various odorscapes
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Data from: Reproductive success and health of breeding Bank Swallows (<em>Riparia riparia</em>) in aggregate (sand and gravel) pit and natural lakeshore habitats
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Data from: Controlled molecular arrangement of easily aggregated deoxycholate with layered double hydroxide
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Data from: Biological and statistical processes jointly drive population aggregation: using host–parasite interactions to understand Taylor's power law
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Data from: Comparative phylogeographic inference with genome-wide data from aggregated population-pairs
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Measuring the aggregated impact of research: Establishing criteria for coding Translational Science Benefits Model data
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Aggregated frequencies of transcription initiations observed in FANTOM5 CAGE data on GRCm38, including alignments with low mapping qualities
<p><strong>Overview</strong></p> <p>Aligned reads of the FANTOM5 CAGE data have been used after filtering (ones with mapping quality less than 20 or percent identity less than 85% were discarded) for general purpose, resulting in the data set consisting of only the reads aligned with confidence. The filtering process made possible to interpret the data without ambiguity, however it also limited interpretation of paralogous or duplicated regions within the genome. Here all of the 5'-ends of the CAGE read alignments, including the ones with low mapping quality, were counted. The counts in the individual profiles were aggregated and summed up. </p> <p>This data set is produced for mouse, in the same way to the one for human data set http://doi.org/10.5281/zenodo.1410835</p> <p> </p> <p><strong>Data files</strong></p> <p>The resulting data files are formatted as bigWig (https://genome.ucsc.edu/FAQ/FAQformat.html#format6.1). '*.fwd.bw' and '*.rev.bw' represent forward and reverse strand on the genome, respectively. </p> <p> </p> <p><strong>Methods</strong></p> <p>The BAM files under https://fantom.gsc.riken.jp/5/datafiles/reprocessed/mm10_v7/basic/ were subjected to 5'-end counting by bedtools v2.27.1 (https://github.com/arq5x/bedtools2), followed by conversion into bigWig with jksrc v366 (http://hgdownload.cse.ucsc.edu/admin/).</p>
Supporting data for "Quantifying fluid retention due to natural vegetation in a forest floodplain analogue using the Aggregated Dead Zone (ADZ) dilution approach"
<p>Raw fluorescence data and derived flow metrics from experimental work undertaken in a hydraulic flume facility in support of the publication:</p> <p>"<strong>Quantifying fluid retention due to natural vegetation in a forest floodplain analogue using the Aggregated Dead Zone (ADZ) dilution approach"</strong></p> <p>Water Resources Research <a href="https://doi.org/10.1029/2020WR027070">https://doi.org/10.1029/2020WR027070</a> </p>
Data from: Effects of soil particles and convective transport on dispersion and aggregation of nanoplastics via small-angle neutron scattering (SANS) and ultra SANS (USANS)
Terrestrial nanoplastics (NPs) pose a serious threat to agricultural food production systems due to the potential harm of soil-born micro- and macroorganisms that promote soil fertility and ability of NPs to adsorb onto and penetrate into vegetables and other crops. Very little is known about the dispersion, fate and transport of NPs in soils. This is because of the challenges of analyzing terrestrial NPs by conventional microscopic techniques due to the low concentrations of NPs and absence of optical transparency in these systems. Herein, we investigate the potential utility of small-angle neutron scattering (SANS) and Ultra SANS (USANS) to probe the agglomeration behavior of NPs prepared from polybutyrate adipate terephthalate, a prominent biodegradable plastic used in agricultural mulching, in the presence of vermiculite, an artificial soil. SANS with the contrast matching technique was used to study the aggregation of NPs co-dispersed with vermiculite in aqueous media. We determined the contrast match point for vermiculite was 66% D 2 O / 33% H 2 O. At this condition, the signal for vermiculite was ~50-100%-fold lower that obtained using neat H 2 O or D 2 O as solvent. According to SANS and USANS, smaller-sized NPs (50 nm) remained dispersed in water and did not undergo size reduction or self-agglomeration, nor form agglomerates with vermiculite. Larger-sized NPs (300-1000 nm) formed self-agglomerates and agglomerates with vermiculite, demonstrating their significant adhesion with soil. However, employment of convective transport (simulated by ex situ stirring of the slurries prior to SANS and USANS analyses) reduced the self-agglomeration, demonstrating weak NP-NP interactions. Convective transport also led to size reduction of the larger-sized NPs. Therefore, this study demonstrates the potential utility of SANS and USANS with contrast matching technique for investigating behavior of terrestrial NPs in complex soil systems.
Data from: Seabirds vary responses to supplemental food under dynamic natural prey availability and feeding aggregation composition
While foraging, a predator can feed solitarily or in a group. The net energy gain of joining a group is predicted to vary with prey patch quality, species-specific prey capture behavior and the size and species composition of the predator group. In coastal Newfoundland, Canada, capelin (Mallotus villosus), a key forage fish, migrates inshore to spawn during the summer, resulting in a dramatic shift in prey availability. During July-August, 2015-2017, we examined the numerical and behavioral responses of procellarid (Great Shearwater Ardenna gravis, Sooty Shearwater A. grisea, Northern Fulmar Fulmarus glacialis) and gull species (Herring Gull Larus argentatus, Great Black-backed Gull L. marinus) to fish offal under varying capelin availability as well as flock size and composition using an at-sea experiment on the northeast Newfoundland coast. The experiment consisted of providing a offal every 30 s (10-min experimental period), along with 10-min control periods before and after. We recorded the species-specific number of birds on the water, the number of birds simultaneously attempting to capture offal, and the number of successful attempts ('foraging success'). The number of birds on the water was lower during high capelin availability for all species, except for Northern Fulmar. The number of conspecifics simultaneously attempting increased with the number of conspecifics on the water, but plateaued at different numbers (4-17) for each species. The species-specific proportion of successful attempts (i.e. 'foraging success') varied with flock size and composition (i.e. number of conspecifics, heterospecifics, species). Foraging success of Herring Gulls and fulmars were moderately affected by flock size and composition, suggesting that they may be dominant competitors. Findings suggest that seabirds rely more heavily on supplemental food sources, such as fisheries discards and offal, when natural prey availability declines, potentially resulting in a higher risk of by-catch during fisheries activities as forage fish stocks decline.
Energy consumption and renewable generation data of 5 aggregators - 15 minute resolution (13 bus grid)
<p>Type: Energy consumption and renewable generation data</p> <p>Period of data collection: 19-03-2019 to 25-03-2019 (15-minute 672 periods)</p> <p>Resolution: 15 minutes</p> <p>Network: 13-bus MV grid</p> <p>Aggregator list:</p> <ul> <li>Aggregator 1: Shopping Mall; Hospital; Fire Station</li> <li>Aggregator 2: 15 houses</li> <li>Aggregator 3: 7 Office buildings</li> <li>Aggregator 4: Wind, PV</li> <li>Aggregator 5: Slow and fast-charging stations of electric vehicles</li> </ul> <p>Further data:</p> <ul> <li>Market prices 2019 summer and winter</li> <li>Wind generation curve</li> </ul> <p>Data obtained from CENERGETIC project (<a href="http://www.gecad.isep.ipp.pt/CENERGETIC/">http://www.gecad.isep.ipp.pt/CENERGETIC/</a>)</p> <p>National Funds through the FCT—Portuguese Foundation for Science and Technology, under Project PTDC/EEI-EEE/28983/2017 (CENERGETIC), CEECIND/02814/2017, UIDB/00760/2020.</p>
Data from: Phylogenetic ANOVA: group-clade aggregation, biological challenges, and a refined permutation procedure
Phylogenetic regression is frequently utilized in macroevolutionary studies, and its statistical properties have been thoroughly investigated. By contrast, phylogenetic ANOVA has received relatively less attention, and the conditions leading to incorrect statistical and biological inferences when comparing multivariate phenotypes among groups remains under-explored. Here we propose a refined method of randomizing residuals in a permutation procedure (RRPP) for evaluating phenotypic differences among groups while conditioning the data on the phylogeny. We show that RRPP displays appropriate statistical properties for both phylogenetic ANOVA and regression models, and for univariate and multivariate datasets. For ANOVA, we find that RRPP exhibits higher statistical power than methods utilizing phylogenetic simulation. Additionally, we investigate how group dispersion across the phylogeny affects inferences, and reveal that highly aggregated groups generate strong and significant correlations with the phylogeny, which reduce statistical power and subsequently affect biological interpretations. We discuss the broader implications of this phylogenetic group aggregation, and its relation to challenges encountered with other comparative methods where one or a few transitions in discrete traits are observed on the phylogeny. Finally, we recommend that phylogenetic comparative studies of continuous trait data utilize RRPP for assessing the significance of indicator variables as sources of trait variation.
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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.