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932 results for “Long term data”
Long-term seedling and small sapling census data from the Barro Colorado Island 50 ha Forest Dynamics Plot, Panama
<p>Tropical forests are well known for their high woody plant diversity. Processes occurring at early life stages are thought to play a critical role in maintaining this high diversity and shaping the composition of tropical tree communities. To evaluate hypothesized mechanisms promoting tropical tree species coexistence and influencing composition, we initiated a census of woody seedlings and small saplings in the permanent 50-ha Forest Dynamics Plot (FDP) on Barro Colorado Island (BCI), Panama. Situated in old-growth, lowland tropical moist forest, the BCI FDP was originally established in 1980 to monitor trees and shrubs ≥1 cm diameter at 1.3 m above ground (dbh) at ca. 5-yr intervals. However, critical data on the dynamics occurring at earlier life stages were initially lacking. Therefore, in 2001 we established a 1-m<sup>2</sup> seedling plot in the center of every 5 x 5 m section of the BCI FDP. All freestanding woody individuals ≥20 cm tall and <1 cm dbh (hereafter referred to as seedlings) were tagged, mapped, measured, and identified to species in 19,313 1-m<sup>2</sup> seedling plots. Because seedling dynamics are rapid, we censused these seedling plots every 1–2 years. Here we present data from the 14 censuses of these seedling plots conducted between the initial census in 2001 to the most recent census, in 2018. This data set includes nearly 1M observations of ~185,000 individuals of >400 tree, shrub, and liana species. These data will permit spatially-explicit analyses of seedling distributions, recruitment, growth, and survival for hundreds of woody plant species. In addition, the data presented here can be linked to openly-available, long-term data on the dynamics of trees and shrubs ≥1cm dbh in the BCI FDP, as well as existing data sets from the site on climate, canopy structure, phylogenetic relatedness, functional traits, soil nutrients, and topography.</p>
Data for: Cooperative assembly confers regulatory specificity and long-term genetic circuit stability
<p>A ubiquitous feature of eukaryotic transcriptional regulation is cooperative self-assembly between transcription factors (TFs) and DNA cis-regulatory motifs. It is thought that this strategy enables specific regulatory connections to be formed in gene networks between otherwise weakly-interacting, low-specificity molecular components. Here, using synthetic gene circuits constructed in yeast, we find that high regulatory specificity can emerge from cooperative, multivalent interactions among artificial zinc finger-based TFs. We show that circuits 'wired' using the strategy of cooperative TF assembly are effectively insulated from aberrant misregulation of the host cell genome. As we demonstrate in experiments and mathematical models, this mechanism is sufficient to rescue circuit-driven fitness defects, resulting in genetic and functional stability of circuits in long-termcontinuous culture. Our naturally-inspired approach offers a simple, generalizable means for building high-fidelity, evolutionarily robust gene circuits that can be scaled to a wide range of host organisms and applications.</p>
Project BioDyn: compilation of long-term (>20yrs) community timeseries data from terrestrial and freshwater realms
<p>The given dataset was compiled for n=2668 communities (242 study IDs in total, see the metadata file) across terrestrial and freshwater realms (terrestrial birds: n=1259, invertebrates: n=124, plants: n=435, and mammals: n=136, freshwater fish: n=587, invertebrates: n=112, and phytoplankton: n=15). Community timeseries include species-level abundance (or biomass in 15% of cases) and a minimum of 20 years sampled. We have compiled this data and used it for the first time to analyze how community stability and its drivers (species richness, overall synchrony, and tail-dependent synchrony) would differ across realms.</p>
Data from: Evolution of a cross-feeding interaction following a key innovation in a long-term evolution experiment with Escherichia coli
<p>The evolution of a novel trait can profoundly change an organism's effects on its environment, which can in turn affect the further evolution of that organism and any coexisting organisms. We examine these effects and feedbacks following the evolution of a novel function in the Long-Term Evolution Experiment (LTEE) with <em>Escherichia</em> <em>coli</em>. A characteristic feature of <em>E. coli</em> is its inability to grow aerobically on citrate (Cit<sup>−</sup>). Nonetheless, a Cit<sup>+</sup> variant with this capacity evolved in one LTEE population after 31,000 generations. The Cit<sup>+</sup>clade then coexisted stably with another clade that retained the ancestral Cit<sup>−</sup> phenotype. This coexistence was shaped by the evolution of a cross-feeding relationship based on C<sub>4</sub>-dicarboxylic acids, particularly succinate, fumarate, and malate, that the Cit<sup>+</sup> variants release into the medium. Both the Cit<sup>−</sup> and Cit<sup>+</sup> cells evolved to grow on these excreted resources. The evolution of aerobic growth on citrate thus led to a transition from an ecosystem based on a single limiting resource, glucose, to one with at least five resources that were either shared or partitioned between the two coexisting clades. Our findings show that evolutionary novelties can change environmental conditions in ways that facilitate diversity by altering ecosystem structure and the evolutionary trajectories of coexisting lineages.</p>
Data and code for "Dietary carotenoid supplementation has long-term and community-wide effects on the amphibian skin microbiome"
<p>Data, R code and R markdown report for the manuscript "Dietary carotenoid supplementation has long-term and community-wide effects on the amphibian skin microbiome" by Risely, A., Phillip G. Byrne, Bethany J. Hoye, and Aimee J. Silla</p> <p><strong>Data</strong></p> <p>frog_final.RDS = Processed phyloseq dataset of frog skin microbiome</p> <p><strong>Code</strong></p> <p>Frog_diet_analysis_V1.Rmd = Rmarkdown code</p> <p>Frog_diet_analysis_V1.html = Rmarkdown report (html version - need to download to view)</p> <p>Frog_diet_analysis_V1.pdf = Rmarkdown report (PDF version)</p>
Data & R Code for "Enhanced long-term memory and increased mushroom body plasticity in Heliconius butterflies"
<p>This ZIP file contains the data and R code used to analyse it for the paper "Enhanced long-term memory and increased mushroom body plasticity in Heliconius butterflies". Behavioural and neuroanatomical data are in separate folders.</p>
Forward-in-time simulation of chromosomal rearrangements: The invisible backbone that sustains long-term adaptation : simulated data
<p>Data simulated with Aevol (<a href="http://www.aevol.fr">www.aevol.fr</a>), a software available on gitlab ( <a href="https://gitlab.inria.fr/aevol/aevol">https://gitlab.inria.fr/aevol/aevol</a> ), for our paper submitted to Molecular Ecology entitled "Forward-in-time simulation of chromosomal rearrangements: The invisible backbone that sustains long-term adaptation".</p>
Kenai Mountains to Sea: Using Thermal Infrared Imagery to Implement Long-Term Salmon Conservation - thermal imagery data set
<p>Cook Inletkeeper contracted NV5 Geospatial (formerly, Quantum Spatial Incorporated) to collect thermal infrared (TIR) during the summer of 2020 along four streams on the Kenai Peninsula in southern Alaska: Beaver Creek, Crooked Creek, Funny River, and Moose River under a project name “Kenai Rivers”. All streams were contracted to be flown in the summer of 2020 and during the afternoon hours in order to maximize the thermal contrast between the river’s water and the banks. The survey extends for a total length of 59.1 km miles of the Kenai Rivers. The Data were collected to aid the Cook Inletkeeper team to identify the spatial variability in surface temperatures as well as thermal influence of point sources, tributaries, and surface springs. The data will also be used to identify high-value habitats for the salmonids population within the four streams.</p> <p>Note: These data and related items of information have not been formally disseminated by NOAA and do not represent any agency determination, view, or policy.</p> <p>Funding for this project came, in part, from the Alaska Sustainable Salmon Fund (AKSSF Project #53003).</p>
Data from: Contrasting impacts of short- and long-term large herbivore exclusion on understory net CO2 exchange in a boreal forest
<p>Across boreal forests, trees are the main living biomass carbon (C) stock, but the understory vegetation can contribute significantly to the C cycling and net forest carbon dioxide (CO<sub>2</sub>) balance. The patchy understory vegetation which consists of sunlit (i.e., lichen-like) and shaded habitats (i.e., dwarf shrub-like) is often altered by ungulate grazers. Grazers may influence understory CO<sub>2</sub> exchange, and consequently, the forest CO<sub>2</sub> balance. Grazing affects differently the biomass of slow growing lichens compared to the faster growing mosses and dwarf shrubs, and therefore the effects of grazing on CO<sub>2</sub> exchange in the patchy understory vegetation could vary temporally. We studied how excluding grazing for short- and long-term affects the CO<sub>2</sub> exchange and vegetation biomass in the understory of an oligotrophic Scots pine forest. We measured growing season (2019, 2020) CO<sub>2</sub> exchange across sunlit and shaded habitats inside fences that had excluded large grazers for 0–1 and 25–26 years and in the adjacent grazed area. In addition, we measured the height of understory vegetation. We found that short-term grazer exclusion increased ecosystem CO<sub>2</sub> source fluxes only in the shaded habitats. However, long-term exclusion of grazing decreased CO<sub>2</sub> net release regardless of the habitat type. Furthermore, grazer exclusion increased moss depth immediately which coincided with an abrupt intensification of CO<sub>2</sub> net release. Considering the impacts of grazing over both short- and long-term may help to forecast C fluxes more accurately which may be relevant for informed climate solutions regionally and even on a larger scale.</p>
Data from : Both long-term grasslands and crop diversity are needed to limit pest and weed infestations in agricultural landscapes
<p>Data used for analysis in Both long-term grasslands and crop diversity are needed to limit pest and weed infestations in agricultural landscapes </p>
Data for: Accuracy of genomic selection and long‐term genetic gain for resistance to Verticillium wilt in strawberry
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Data from: Pilot testing an ethanol cornual nerve block as a long-term analgesic for calf disbudding
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Long-term seedling and small sapling census data from the Barro Colorado Island 50 ha Forest Dynamics Plot, Panama
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Data from: Long-term mowing regulates the responses of above- and below-ground net primary productivity stability to water and nitrogen addition in a temperate steppe
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Data from: A long-term perspective to the effects of the 2023 marine heat wave on stony corals in the Caribbean
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Data from: Distance-dependent seedling mortality and long-term spacing dynamics in a neotropical forest community
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Data from: Long-term agricultural management does not alter the evolution of a soybean-rhizobium mutualism
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Data from: No detectable deployment impacts of solar-powered GPS devices for long-term use on a small shorebird
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Data from: Non-native species affect the long-term dynamics of native stream fish assemblages
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Data from: The role of exotic ladybeetles in the decline of native ladybeetle populations: evidence from long-term monitoring
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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.