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Dataset results
109 results for “hedges”
Composite Hedges Nanopores
<p>Nanopore sequencing FASTQ data of <em>Composite Hedges Nanopores: A High INDEL-Correcting Codec System for Rapid and Portable DNA Data Readout. </em>It includes a text and an image file data encoded by CHN codec.</p>
Figure 5 in Germination responses of the invasive hedge cactus (Cereus uruguoyonus) to environmental factors
Figure 5. Seed survival of two Cereus uruguoyonus accessions under controlled aging at 60% relative humidity and 45 C. Parameter estimates for the negative logistic regression model fit to the data are given in Table 1.
Figure 2 in Germination responses of the invasive hedge cactus (Cereus uruguoyonus) to environmental factors
Figure 2. Effect of salt stress on the cumulative germination of four seed accessions of Cereus uruguoyonus. Values with the same letter do not differ at a 5% level of significance.
Figure 3 in Germination responses of the invasive hedge cactus (Cereus uruguoyonus) to environmental factors
Figure 3. Effect of water stress on the cumulative germination of four seed accessions of Cereus uruguoyonus. Values with the same letter do not differ at a 5% level of significance.
Dataset: WisdomTree Japan Hedged SmallCap Equity Fund (DXJS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: WisdomTree Interest Rate Hedged U.S. Aggregate Bond Fund (AGZD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: WisdomTree Interest Rate Hedged U.S. Aggregate Bond Fund (AGZD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: WisdomTree India Hedged Equity Fund ETF (INDH) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: WisdomTree Interest Rate Hedged High Yield Bond Fund (HYZD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: iShares Currency Hedged MSCI Germany ETF (HEWG) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Figure 2 in Rediscovery of Hedge Cupid, Bothrinia chennellii (de Nicéville, 1884) (Lepidoptera: Lycaenidae) to Meghalaya, Northeastern India
Figure 2. Current sightings of B. chennellii in Meghalaya, India: (a). Nongkhyllem Wildlife Sanctuary, Ri-Bhoi District. (b). Pongtung Bridge, East Khasi Hills. / Avistamientos actuales de B. chennellii en Meghalaya, India: (a). Santuario de vida silvestre de Nongkhyllem, distrito de Ri-Bhoi. (B). Puente Pongtung, este de Khasi Hills.
Figure 3 in Rediscovery of Hedge Cupid, Bothrinia chennellii (de Nicéville, 1884) (Lepidoptera: Lycaenidae) to Meghalaya, Northeastern India
Figure 3. One of the few last refuges of B. chennellii in India. (a). Nongkhyllem Wildlife Sanctuary, Ri-Bhoi Distict; (b). Fragmented hill forest below Pongtung Bridge, East Khasi Hills, Meghalaya. / Uno de los últimos refugios de B. chennellii en India. (a). Santuario de vida silvestre de Nongkhyllem, distrito de Ri-Bhoi; (B). Bosque de montaña fragmentado debajo del puente Pongtung, este de Khasi Hills, Meghalaya.
Figure 1 in Rediscovery of Hedge Cupid, Bothrinia chennellii (de Nicéville, 1884) (Lepidoptera: Lycaenidae) to Meghalaya, Northeastern India
Figure 1. Previous and current records of Bothrinia chennellii in India. / Registros anteriores y actuales de Bothrinia chennellii en India.
Figure 1 in First occurrence of Silvery Hedge Blue Celastrina gigas (Hemming, 1928) (Insecta: Lepidoptera: Polyommatinae) in West Bengal, India
Figure 1. Study area showing new location record of Celastrina gigas in West Bengal, India. / Área de estudio que muestra el nuevo registro de ubicación de Celastrina gigas en Bengala Occidental, India.
Figure 2 in First occurrence of Silvery Hedge Blue Celastrina gigas (Hemming, 1928) (Insecta: Lepidoptera: Polyommatinae) in West Bengal, India
Figure 2. Close-wing puddling behaviour of Celastrina gigas butterfly. / Comportamiento de alas cerradas de la mariposa Celastrina gigas.
Linked collectors and determiners for: A morphological and molecular revision of lizards of the genus Marisora Hedges & Conn (Squamata: Mabuyidae) from Central America and Mexico, with descriptions of four new species.
Natural history specimen data linked to collectors and determiners held within, "A morphological and molecular revision of lizards of the genus Marisora Hedges & Conn (Squamata: Mabuyidae) from Central America and Mexico, with descriptions of four new species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/89d5cc69-ce22-4b62-9e3d-0b791edc81d8">https://bionomia.net/dataset/89d5cc69-ce22-4b62-9e3d-0b791edc81d8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/89d5cc69-ce22-4b62-9e3d-0b791edc81d8">https://gbif.org/dataset/89d5cc69-ce22-4b62-9e3d-0b791edc81d8</a>. Formatted as a Frictionless Data package.
Data from: Bet hedging is not sufficient to explain germination patterns of a winter annual plant
<div> <div> <div> <p>Bet hedging consists of life history strategies that buffer against environmental variability by trading off immediate and long-term fitness. Delayed germination in annual plants is a classic example of bet hedging and is often invoked to explain low germination fractions. We examined whether bet hedging explains low and variable germination fractions among 20 populations of the winter annual plant <em>Clarkia</em> <em>xantiana</em> ssp. <em>xantiana</em> that experience substantial variation in reproductive success among years. Leveraging 15 years of demographic monitoring and 3 years of field germination experiments, we assessed the fitness consequences of seed banks and compared optimal germination fractions from a density-independent bet-hedging model to observed germination fractions. We did not find consistent evidence of bet hedging or the expected trade-off between arithmetic and geometric mean fitness, though delayed germination increased long-term fitness in 7 of 20 populations. Optimal germination fractions were 2 to 5 times higher than observed germination fractions, and among-population variation in germination fractions was not correlated with risks across the life cycle. Our comprehensive test suggests that bet hedging is insufficient to explain the observed germination patterns. Understanding variation in germination strategies will likely require integrating bet hedging with complementary forces shaping the evolution of delayed germination.</p> </div> </div> </div>
Data from: Bet hedging is not sufficient to explain germination patterns of a winter annual plant
Open the record for dataset details and reuse information.
Multiple-batch spawning as a bet-hedging strategy in highly stochastic environments: an exploratory analysis of Atlantic cod
<p><span><span><span><span><span><span><span><span><span><span><span>Stochastic environments shape life-history traits and can promote selection for risk-spreading strategies, such as bet-hedging. Although the strategy has often been hypothesised to exist for various species, empirical tests providing firm evidence have been rare, mainly due to the challenge in tracking fitness across generations. Here, we take a 'proof of principle' approach to explore whether the reproductive strategy of multiple-batch spawning constitutes a bet-hedging. We used Atlantic cod (<i>Gadus morhua</i>) as the study species and parameterised an eco-evolutionary model, using empirical data on size-related reproductive and survival traits. To evaluate the fitness benefits of multiple-batch spawning (within a single breeding period), the mechanistic model separately simulated multiple-batch and single-batch spawning populations under temporally varying environments. We followed the arithmetic and geometric mean fitness associated with both strategies and quantified the mean changes in fitness under several environmental stochasticity levels. We found that, by spreading the environmental risk among batches, multiple-batch spawning increases fitness under fluctuating environmental conditions. The multiple-batch spawning trait is, thus, advantageous and acts as a bet-hedging strategy when the environment is exceptionally unpredictable. Our research identifies an analytically flexible, stochastic, life-history modelling approach to explore the fitness consequences of a risk-spreading strategy and elucidates the importance of evolutionary applications to life-history diversity. </span></span></span></span></span></span></span></span></span></span></span></p>
Diapause is not selected as a bet-hedging strategy in insects: a meta-analysis of reaction norm shapes
<p>Many organisms escape from lethal climatological conditions by entering a resistant resting stage called diapause, and it is essential that this strategy remains optimally timed with seasonal change. Climate change therefore exerts selection pressure on phenology, which is expected to cause the evolution of mean diapause timing, but also phenotypic plasticity and bet-hedging strategies. Especially the latter as a strategy to cope with unpredictability is so far little considered in the context of climate change, and it is unknown whether it can readily evolve.</p> <p>Contemporary patterns of phenological strategies across a geographic range may provide information about their evolvability. We thus extracted 458 diapause reaction norms from 60 studies. First, we correlated mean diapause timing with mean winter onset. Then we partitioned the reaction norm variance into a temporal component (phenotypic plasticity) and among-offspring variance (diversified bet-hedging) and correlated this variance composition with predictability of winter onset. Contrary to our expectation, mean diapause timing correlated only weakly with mean winter onset, as populations at high latitudes failed to track early onsets. Variance among offspring was also limited and correlated only weakly with environmental predictability, indicating little scope for bet-hedging. We conclude that constraints may limit the evolution of phenology in a rapidly changing climate.</p>
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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.