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6,175 results for “Composite”
Shifts in the composition and distribution of Pacific Arctic larval fish assemblages in response to rapid ecosystem change
<p>The Pacific Arctic marine ecosystem has undergone rapid changes in recent years due to ocean warming, sea ice loss, and increased northward transport of Pacific‐origin waters into the Arctic. These climate‐mediated changes have been linked to range shifts of juvenile and adult subarctic (boreal) and Arctic fish populations, though it is unclear whether distributional changes are also occurring during the early life stages. We analyzed larval fish abundance and distribution data sampled in late summer from 2010 to 2019 in two interconnected Pacific Arctic ecosystems: the northern Bering Sea and Chukchi Sea, to determine whether recent warming and loss of sea ice have restricted habitat for Arctic species and altered larval fish assemblage composition from Arctic‐ to boreal‐associated taxa. Multivariate analyses revealed the presence of three distinct multi‐species assemblages across all years: (1) a boreal assemblage dominated by yellowfin sole (<em>Limanda aspera</em>), capelin (<em>Mallotus catervarius</em>), and walleye pollock (<em>Gadus chalcogrammus</em>); (2) an Arctic assemblage composed of Arctic cod (<em>Boreogadus saida</em>) and other common Arctic species; and (3) a mixed assemblage composed of the dominant species from the other two assemblages. We found that the wind‐ and current‐driven northward advection of warmer, subarctic waters and the unprecedented low‐ice conditions observed in the northern Bering and Chukchi seas beginning in 2017 and persisting into 2018 and 2019 have precipitated community‐wide shifts, with the boreal larval fish assemblage expanding northward and offshore and the Arctic assemblage retreating poleward. We conclude that Arctic warming is most significantly driving changes in abundance at the leading and trailing edges of the Chukchi Sea larval fish community as boreal species increase in abundance and Arctic species decline. Our analyses document how quickly larval fish assemblages respond to environmental change and reveal that the impacts of Arctic borealization on fish community composition spans multiple life stages over large spatial scales.</p>
Fig. 3 in Species composition and distribution of medusae (Cnidaria: Medusozoa) along the Algerian coast between 2°E and 7°E (SW Mediterranean Sea) Abstract
Fig. 3: Distribution of the total abundance of medusae along the Algerian coast (2°E -7°E).
Fig 4 in Proximate composition and its seasonal variations of the muscle tissue of Channa striata from Krishna river, Andhra Pradesh
Fig 4: Ash content variations in muscle of male and female C. striata
Fig 2 in Proximate composition and its seasonal variations of the muscle tissue of Channa striata from Krishna river, Andhra Pradesh
Fig 2: Fat content variations in muscle of male and female C. striata
Fig 3 in Proximate composition and its seasonal variations of the muscle tissue of Channa striata from Krishna river, Andhra Pradesh
Fig 3: Moisture content variations in muscle of male and female C. striata
Fig 1 in Proximate composition and its seasonal variations of the muscle tissue of Channa striata from Krishna river, Andhra Pradesh
Fig 1: Protein content variations in muscle of male and female C. striata
High buffering potential of winter wheat composite cross populations to rapidly changing environmental conditions
<p><span>A winter wheat composite cross population (CCP), created in the UK in 2001, has been grown in Germany, Hungary and the UK since 2005 (F<sub>5</sub> generation). In 2008/9 (F<sub>8</sub>), a cycling pattern for the populations was developed between partners to test the effects of rapidly changing environments on agronomic performance. One CCP was grown by eight partners for one year and subsequently sent to the next partner, creating "cycling CCPs" with different histories. In 2013, all eight cycling CCPs and the three non-cycling CCPs (from Germany, Hungary and UK) were included in a two-year experiment in Germany with three line varieties to compare agronomic performance and morphological characteristics. Differing seed weight of the F<sub>13</sub> at sowing affected some agronomic parameters under drought conditions in 2014/15, but not under less stressful conditions in 2013/14. In both experimental years, the CCPs were comparable to the line varieties in terms of agronomic performance, with some CCPs outyielding the varieties under drought conditions of 2015. The results highlight the potential of CCPs to compete with line varieties while the</span> <span>overall similarity of the CCPs based on their origin and cycling history for agronomic traits indicate a high buffering potential under highly variable environmental conditions. </span></p>
Applicability of new sustainable and efficient alginate-based composites for critical raw materials recovery: General composites fabrication optimization and adsorption performance evaluation
<p>This dataset contains the raw data for the publication "Applicability of new sustainable and efficient alginate-based composites for critical raw materials recovery: General composites fabrication optimization and adsorption performance evaluation" by Fila et al, published in Chemical Engineering Journal. The upload includes raw data of physicochemical characterizations of calcium alginate and its composites, i.e. alginate-biochar and alginate-clinoptilolite, including BET, SEM, TG, XPS and XRD analyses. </p>
Fig. 10 in Subtribal, Generic And Subgeneric Composition Of Darkling Beetles Of The Tribe Helopini (Coleoptera: Tenebrionidae) In The Eastern Palaearctic Region
Fig. 10. Nalassus (s. str.) akitai, holotype and paratype: A = male, holotype, habitus, B = fe-
Fig. 6 in Subtribal, Generic And Subgeneric Composition Of Darkling Beetles Of The Tribe Helopini (Coleoptera: Tenebrionidae) In The Eastern Palaearctic Region
Fig. 6. Stenohelops chinensis sp.n., habitus: A = male, holotype, B = female, paratype
Fig. 5 in Subtribal, Generic And Subgeneric Composition Of Darkling Beetles Of The Tribe Helopini (Coleoptera: Tenebrionidae) In The Eastern Palaearctic Region
Fig. 5. Species of the genus Catomus, subgenus Sinocatomus. A = C. solitarius, male, Gansu
Monitoring of neoadjuvant chemotherapy through time domain diffuse optics: Breast tissue composition changes and collagen discriminative potential
<p>This dataset serves as a comprehensive resource containing the raw data, analyses, and various tools utilized to produce the findings that are presented in our paper titled ‘<strong>Monitoring of neoadjuvant chemotherapy through time domain diffuse optics: breast tissue composition changes and collagen discriminative potential</strong>’. </p> <p>The aim of this clinical study is to test broad spectral range (635-1060 nm) time domain diffuse optical spectroscopy to monitor the response of breast cancer patients to neoadjuvant chemotherapy. Preliminary results from patients on changes in hemoglobin, water, lipids, collagen concentrations, and scattering parameters due to the therapy are presented. In these initial results, we hypothesize that collagen could be a possible biomarker to distinguish complete and partial responders.</p>
Fig. 1 in The Chemical Composition Of New Oat Varieties And Breeding Lines Created In Latvia
Fig. 1. Protein amount in oat grains grown in different nitrogen fertilizer rate.
Fig. 1 in Patterns in fish species composition and assemblage structure in the upper Salado River lakes, Pampa Plain, Argentina
Fig. 1. Schematic diagram of the study area in the upper Salado River, Pampa Plain, Argentina.
Data from: Structure and composition of a canopy-beetle community (Coleoptera) in a Neotropical lowland rainforest in southern Venezuela
<p>Species richness, community structure, and taxonomic composition are important characteristics of biodiversity. Beetle communities show distinct diversity patterns according to habitat attributes. Tropical rainforest canopies, which are well known for their richness in Coleoptera, represent such a conspicuous life zone. Here, I describe a canopy-inhabiting beetle community associated with 23 tree species in a Neotropical lowland rainforest. Adult beetles were sampled manually and in aerial traps using a large tower crane for a cumulative year. The sample revealed 6738 adult beetles, which were assigned to 862 (morpho-)species in 45 families. The most species-rich beetle families were Curculionidae (<em>n</em> = 246), Chrysomelidae (<em>n</em> = 121), and Cerambycidae (<em>n</em> = 89). The most abundant families were Curculionidae (<em>n</em> = 2746) and Chrysomelidae (<em>n</em> = 1409). Dominant beetle families were found in most assemblages. The beetle community consisted of 400 singletons (46.4%). A similar proportion was evident for assemblages of single tree species. I found that 74.5% of all beetle species were restricted in their occurrence on host trees to the phenological season and time of the day. This daily and seasonal migration causes patterns similar to mass effects, and therefore accounts for the high proportion of singletons.</p>
Lipid extraction alters amino acid composition and bulk, but not amino acid, carbon and nitrogen isotope values
<p>Rationale: Concerns exist over observed shifts in value and variance of nitrogen isotopes following physicochemical extraction of lipids from organic matter. The mechanisms behind these apparent changes in bulk tissue δ15N values are not fully understood yet have major implications for analytical costs and integrity of data interpretations.</p> <p>Methods: Changes in proximate analysis, amino acid composition, C:N ratios, bulk tissue and amino acid δ13C and δ15N values, and resulting isotope‐based food web metrics were compared between lipid‐intact and lipid‐extracted muscle tissue of fishes spanning <1% to >20% muscle fat content to identify mechanisms of nitrogen isotope fractionation associated with physicochemical lipid extraction.</p> <p>Results: Bulk δ13C and δ15N values increased and %N, C:N ratios and crude protein content decreased following lipid extraction. Resulting bulk isotope niche spacing and overlap varied significantly between lipid‐intact and lipid‐extracted tissues. While amino acid composition significantly changed during lipid extraction, particularly for lipid‐associated amino acids (e.g., Glu, Lys, Ser), individual amino acid δ13C and δ15N values, and their associated compound‐specific isotope analysis of amino acids (CSIA‐AA)‐based food web metrics, did not.</p> <p>Conclusions: Physicochemical lipid extraction caused significant tissue composition changes (e.g., leaching of amino acids and 15N‐deplete nitrogenous waste) that affected δ13C and δ15N values and tissue %C and %N beyond simply removing lipids. However, lipid extraction did not alter individual amino acid δ13C or δ15N values or their associated CSIA‐AA‐based food web metrics.</p>
Usable observations over Europe: Evaluation of compositing windows for landsat and sentinel-2 time series
<p>Landsat and Sentinel-2 data archives provide ever-increasing amounts of satellite data. However, the availability of usable observations greatly varies spatially and temporally. Pixel-based compositing that generates temporally equidistant cloud-free synthetic images can mitigate temporal variability, by constructing uninterrupted time series using different compositing windows. Here, we evaluated the feasibility of using compositing windows ranging from five days to one year for 1984-2021 Landsat and 2015-2021 Sentinel 2 time series to derive uninterrupted time series across Europe. We considered separate and joint use of both data archives and analyzed the spatio-temporal availability of composites during each calendar year and pixel-specific growing season across a variety of time windows and hypothesizing data interpolation. Our results demonstrated opportunities and limitations in the available data records to support medium- and long-term analyses requiring uninterrupted time series of composites with sub-annual temporal resolution. Spatial disparities across different compositing windows provide guidance on the feasibility of workflows relying on different data densities and on the challenges in wall-to-wall analyses. The feasibility of consistent time series based on composites with sub-monthly aggregation periods was mostly limited to the combined Landsat and Sentinel-2 archives after 2015, yet in some geographies requires interpolation of up to 50% of data.</p>
FIGURE 4 in The effects of lithification on fossil assemblage biodiversity and composition: An experimental test
FIGURE 4. Rank abundance plots for the Bermont (A) and Fort Thompson (B) samples.
Figure 2. Species area curve obtained from 264 in Composition and structure of plant communities in the Moist Temperate Forest Ecosystem of the Hindukush Mountains, Pakistan
Figure 2. Species area curve obtained from 264 plant species in Lalkoo valley.
Figure 3. Cluster Dendrogram indicating 11 in Composition and structure of plant communities in the Moist Temperate Forest Ecosystem of the Hindukush Mountains, Pakistan
Figure 3. Cluster Dendrogram indicating 11 plant association types in the Lalkoo Valley.
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.