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932 results for “Long term data”
Archive data supporting the results in the paper: Long-term soil warming alters fine root dynamics and morphology, and their ectomycorrhizal fungal community in a temperate forest soil"
<p><span>Climate warming is predicted to affect temperate forests severely, but the response of fine roots, key to plant nutrition, water uptake, soil carbon and nutrient cycling is unclear. Understanding how fine roots will respond to increasing temperature is a prerequisite for predicting the functioning of forests in a warmer climate. We studied the response of fine roots and their ectomycorrhizal (EcM) fungal and root-associated bacterial communities to soil warming by 4 °C in a mixed spruce-beech forest in the Austrian Limestone Alps after 8 and 14 years of soil warming, respectively. Fine root biomass (FRB) and fine root production were 17% and 128% higher in the warmed plots, respectively, after 14 years. The increase in FRB (13%) was not significant after 8 years of treatment, whereas specific root length, specific root area, and root tip density were significantly higher in warmed plots at both sampling occasions. Soil warming did not affect EcM exploration types and diversity, but changed their community composition, with an increase in the relative abundance of <em>Cenoccocum</em> at 0 – 10 cm soil depth, a drought-stress tolerant genus, and an increase in short and long-distance exploration types like <em>Sebacina </em>and <em>Boletus </em>at 10 – 20 cm soil depth. Warming increased the root-associated bacterial diversity but did not affect their community composition. Soil warming did not affect nutrient concentrations of fine roots, though we found indications of limited soil phosphorus (P) and potassium (K) availability. </span><span>Our findings suggest that, in the studied ecosystem, global warming could persistently increase soil carbon inputs due to accelerated fine root growth and turnover, and could simultaneously alter fine root morphology and EcM fungal community composition towards improved nutrient foraging. </span></p>
Data from: Determinants and long-term costs of early reproduction in males of a long-lived polygynous mammal
<p>In long-lived polygynous species, male reproductive success is often monopolized by a few mature dominant individuals. Young males are generally too small to be dominant and may employ alternative tactics, however, little is known about the determinants of reproductive success for young males. Understanding the causes and consequences of variability in early reproductive success may be crucial to assess the strength of sexual selection and possible long-term trade-offs among life-history traits. Selective pressures driven by fluctuating environmental conditions may depend on age-class. We evaluated the determinants of reproduction in male bighorn sheep (<em>Ovis canadensis</em>) aged 2-4 years using 30 years of individual-level data. These young males cannot defend estrous ewes and use alternative mating tactics. We also investigated how the age of first detected reproduction was correlated to lifetime reproductive success and longevity. We found that reproductive success of males aged three years was positively correlated to body mass, to the proportion of males aged 2-4 years in the competitor pool and to the number of females available per adult male. These results suggest that reproductive success depends on both competitive ability and population age-sex structure. None of these variables, however, had significant effects on the reproductive success of males aged 2 or 4 years. Known reproduction before the age of five increased lifetime reproductive success but decreased longevity, suggesting a long-term survival cost of early reproduction. Our analyses reveal that both individual-level phenotypic and population-level demographic variables influence reproductive success by young males and provide a rare assessment of fitness trade-offs in wild polygynous males.</p>
The long-term monthly discharge data of hydrological stations in the Pearl River during 1994-2018
<p>This dataset contains the monthly discharge data of hydrological stations (i.e., Gaoyao, Shijiao, and Boluo) in the Pearl River during 1994-2018. The total discharge means the sum of discharges of Gaoyao, Shijiao, and Boluo. </p>
Experimental data for: Long-term memory and synapse-like dynamics in two-dimensional nanofluidic channels
<p>Experimental data set for: Long-term memory and synapse-like dynamics in two-dimensional nanofluidic channels. Provides all raw data needed to reproduce experimental graphs presented within the paper.</p>
Data for: Estimating density dependence, environmental variance and long-term selection on a stage-structured life history
<p>We model growth of a density-dependent stage-structured population undergoing small or moderate fluctuations around a deterministically stable equilibrium in a stochastic environment, assuming that a weighted sum of stage abundances, N, exerts density dependence on the stage-specific vital rates of survival and reproduction. We approximate the dynamics of N as a onedimensional stochastic process with three key parameters: the density-independent growth rate and the net density dependence and environmental variance in the life history. Comparisons of populations and species with different life histories are facilitated using the key parameters, which we show how to estimate from long-term demographic data on fluctuations in the vital rates. We also show that life history evolution is a stochastic maximization of a simple function of the key parameters. Elements in the long-term selection gradient acting on the life history can be expressed as sensitivities of this function with respect to density-independent, density-dependent, and stochastic components of the vital rates. Using years of demographic data on a great tit population, we estimate the key demographic parameters, which accurately predict the observed mean, coefficient of variation, and fluctuation rate of N, and also evaluate the long-term selection gradient on the population.</p>
Replication data for Chen and Khanna. (Global Environmental Change Advances, 2024), "Heterogeneous and Long-Term Effects of a Changing Climate on Bird Biodiversity"
<p>This dataset contains code and data to replicate the results for "Heterogeneous and Long-Term Effects of a Changing Climate on Bird Biodiversity" by Luoye Chen and Madhu Khanna.</p>
Data and code for Rowan et al. "Long-term biotic homogenization in the East African Rift System over the last 6 Myr of hominin evolution"
<p>Data and code for Rowan et al. "Long-term biotic homogenization in the East African Rift System over the last 6 Myr of hominin evolution" published in <em>Nature Ecology and Evolution</em>.</p>
Experimental data from long-term elevated pCO2 exposure in Pacific herring. Datasets include measurements of enviromental treatment conditions, growth and developmental traits, and mortality data from a disease challenge.
<p>This study evaluated the effects of ocean acidification on the health, survival, fitness, and disease susceptibility of early life stage Pacific herring. Wild larvae were reared from hatching under three pCO2 treatments [low (~650 μatm), intermediate (~1,500 μatm), and high (~3,000 μatm)] to determine the effects of elevated pCO2 on larval growth, yolk consumption, and foraging capabilities and to evaluate how chronic exposure to elevated pCO2 affects long-term growth and maximum swimming speed. After prolonged exposure (98 d), we tested how elevated pCO2 experienced during development altered the susceptibility of juvenile Pacific herring to VHS following water-borne exposure to VHSV. This directory includes datasets for: 1) daily pH and temperature measurements from replicate rearing tanks; 2) carbon chemistry measurements from discrete seawater samples; 3) morphometric and feeding data for larval herring (1 - 16 days post hatch); 4) standard length measurements from larval and juvenile samples (1 - 98 days post hatch); 5) All dry mass measurements from larval and juvenile samples (1 - 98 days post hatch); 6) survival statistics for whole experiment ( 1- 98 days post hatch); 7) maximum swim speed measurements on juvenile herring; 8) disease challenge mortality and viral titer data; 8) a README file containing information on the dataset. </p>
Data and code for publication "The long-term sea-level commitment from Antarctica"
<p>Data and scripts for assessing the long-term sea-level commitment from Antarctica </p> <p>The data and scripts are relevant for the analysis and for reproducing figures and tables presented in the following publication: </p> <p>Klose A K, Coulon V, Pattyn F, Winkelmann R, 2024, The long-term sea-level commitment from Antarctica, The Cryosphere. </p>
Soil organic carbon formation efficiency from straw/stover and manure input and its drivers: Estimates from long-term data in global croplands
<p><span>The supporting data for raw data, geographic location of the experimental sites, grid-level maps showing the predicted NCE (%) of global cropland</span></p>
Soil organic carbon formation efficiency from straw/stover and manure input and its drivers: Estimates from long-term data in global croplands
<p>In-situ observations collected from publications, grid-level maps showing the predicted NCE (%) of global cropland and data-driven model codes</p>
Soil organic carbon formation efficiency from straw/stover and manure input and its drivers: Estimates from long-term data in global croplands
<p>In-situ observations collected from publications, grid-level maps showing the predicted NCE (%) of global cropland and data-driven model codes</p>
Soil organic carbon formation efficiency from straw/stover and manure input and its drivers: Estimates from long-term data in global croplands
<p>Field observation data collected from publications, the references from the main text and data sources , grid-level maps showing prediction of global cultivated land NCE(%) and data-driven model codes </p>
Underlying data for "Metabolism of remimazolam in primary human hepatocytes during continuous long-term infusion in a 3D bioreactor system"
<p>The dataset supports the manuscript "Metabolism of remimazolam in primary human hepatocytes during continuous long-term infusion in a 3D bioreactor system" published in the journal "Drug design, development and therapy" in 2019</p>
"Field integration of shoot gas exchange and leaf chlorophyll fluorescence measurements to study the long-term regulation of photosynthesis in situ" data set
<p>The main data used in the "Field integration of shoot gas exchange and leaf chlorophyll fluorescence measurements to study the long-term regulation of photosynthesis in situ" publication, as well as the readme-file for the dataset. Supplementary figures are available at the Tree Physiology website.</p>
Long-term adaptation of lymphoma cell lines to hypoxia is mediated by diverse molecular mechanisms that are targetable with specific inhibitors - Supplemental Data Tables
<p><strong>Supplemental Data Table - Metabolome.xlsx</strong> - a complete list of measured metabolites for Ramos and HBL2 cell lines. Peak area values for normoxic and hypoxia-adapted cells in triplicates. Mean log 2 fold change and adjusted P values are provided for all metabolites except those under the limits of detection.</p> <p><strong>Supplemental Data Table - Transcriptome Differential Expression.xlsx</strong> - the tables of all transcripts detected in hypoxia-adapted HBL2 and Ramos lymphoma cell lines compared to normoxic controls. Fold change and log 2 fold change, log 2 CPM, F statistic, P value and False Discovery Rate (FDR) were calculated using EdgeR package. Last column shows if a transcript was significantly <em>up</em>- or <em>down</em>regulated or not (<em>ns</em>).</p> <p><strong>Supplemental Data Table - Transcriptome Gene Set Analysis.xlsx</strong> - the tables of the gene set enrichment analysis of Reactome pathways in hypoxia-adapted HBL2 and Ramos lymphoma cell lines compared to normoxic controls.</p> <p><strong>Supplemental Data Table - Proteome Differential Expression.xlsx</strong> - the tables of proteins detected and differentially expressed in hypoxia-adapted HBL2 and Ramos lymphoma cell lines compared to normoxic controls.</p> <p><strong>Supplemental Data Table - Cell lines SNV characterization.xlsx</strong> - the tables of mutations (single nucleotide variations and short indels) detected in four tested lymphpoma cell lines and corresponding primary tumor (PT) samples. AF_CTRL - allelic frequency (0..1) in healthy control DNA from the patient, AF_PT - allelic frequency in primary tumor, AF_PDCL - allelic frequency in patient-derived cell line. DP - total sequence depth, TLOD - Log odds that the variant is present in the tumor sample relative to the expected noise. Gencode and HGNC annotation columns are output of the Funcotator analysis. SNVs were detected using Mutect2 as a part of GATK 4.6.0.0 somatic variat calling pipeline.</p>
Data for: Epigenetic Age and Long-Term Cancer Risk Following a Stroke
<p><strong>Data for Manuscript: "Epigenetic Age and Long-Term Cancer Risk Following a Stroke"</strong></p> <p>In this study, we investigated whether stroke patients who later developed cancer exhibited an accelerated epigenetic age compared to those who did not. A total of 648 stroke patients were followed for 15 years, during which 83 individuals were diagnosed with cancer. Biological age (B-age) was estimated from DNA methylation data derived from whole blood samples collected within 24 hours of stroke onset. These samples were analyzed using the 450K or EPIC Illumina Beadchip arrays. We employed several epigenetic clocks to calculate B-age, including the Hannum, Horvath, PhenoAge, ZhangBLUP, ZhangEN, and the mitotic epiTOC clocks.</p> <p>After adjusting for multiple testing, competing risks, and key confounders, we found that patients who developed cancer were biologically older, as measured by the Hannum clock.</p> <p>This repository provides the associated phenotypic data, estimated white cell counts and B-age estimations, including both raw data and age acceleration values.</p>
Data from: Differences in the regulation of growth and biomineralization genes revealed through long-term common garden acclimation and experimental genomics in the purple sea urchin
Across heterogeneous landscapes, populations may have adaptive differences in gene regulation that adjust their physiologies to match local environments. Such differences could have origins in acclimation or in genetically fixed variation between habitats. Here we use common garden experiments to evaluate differences in gene expression between populations of the purple sea urchin, Strongylocentrotus purpuratus, spanning 1700 km and average temperature differences of 5 °C to 8 °C. Across expression profiles from 18,883 genes after three years of common conditions, we find highly correlated expression patterns (Pearson's r = 0.992) among most genes. However, sixty-six genes were differentially expressed, including many ribosomal protein and biomineralization genes, all of which had higher expression in urchins originally from the southern population. Gene function analyses revealed slight but pervasive expression differences in genes related to ribosomal function, metabolism, transport, "bone" development, and response to stimuli. In accord with gene expression patterns, a post-hoc spine re-growth experiment revealed that urchins of southern origin re-grew spines at a faster rate than northern urchins. These results suggest that there may be genetically controlled, potentially adaptive differences in gene regulation across habitats and that gene expression differences may be under strong enough selection to overcome high dispersal-mediated gene flow in this marine species.
Data from: Population signatures of large-scale, long-term disjunction and small-scale, short-term habitat fragmentation in an Afromontane forest bird
The Eastern Afromontane cloud forests occur as geographically distinct mountain exclaves. The conditions of these forests range from large to small and from fairly intact to strongly degraded. For this study, we sampled individuals of the forest bird species, the Montane White-eye Zosterops poliogaster from 16 sites and four mountain archipelagos. We analysed 12 polymorphic microsatellites and three phenotypic traits, and calculated Species Distribution Models (SDMs) to project past distributions and predict potential future range shifts under a scenario of climate warming. We found well-supported genetic and morphologic clusters corresponding to the mountain ranges where populations were sampled, with 43% of all alleles being restricted to single mountains. Our data suggest that large-scale and long-term geographic isolation on mountain islands caused genetically and morphologically distinct population clusters in Z. poliogaster. However, major genetic and biometric splits were not correlated to the geographic distances among populations. This heterogeneous pattern can be explained by past climatic shifts, as highlighted by our SDM projections. Anthropogenically fragmented populations showed lower genetic diversity and a lower mean body mass, possibly in response to suboptimal habitat conditions. On the basis of these findings and the results from our SDM analysis we predict further loss of genotypic and phenotypic uniqueness in the wake of climate change, due to the contraction of the species' climatic niche and subsequent decline in population size.
Data from: A shift in the long-term mode of foraminiferan size evolution caused by the end-Permian mass extinction
Size is among the most important traits of any organism, yet the factors that control its evolution remain poorly understood. In this study, we investigate controls on the evolution of organismal size using a newly compiled database of nearly 25,000 foraminiferan species and subspecies spanning the past 400 million years. We find a transition in the pattern of foraminiferan size evolution from correlation with atmospheric pO2 during the Paleozoic (400-250 Mya) to long-term stasis during the post-Paleozoic (250 Mya to present). Thus, a dramatic shift in the evolutionary mode coincides with the most severe biotic catastrophe of the Phanerozoic (543 Mya to present). Paleozoic tracking of pO2 was confined to Order Fusulinida, whereas Paleozoic lagenides, miliolids, and textulariids were best described by the stasis model. Stasis continued to best describe miliolids and textulariids during post-Paleozoic time, while random walk was the best supported mode for the other diverse orders. The shift in evolutionary dynamics thus appears to have resulted primarily from the selective elimination of fusulinids at the end of the Permian Period. These findings illustrate the potential for mass extinction to alter macroevolutionary dynamics for hundreds of millions of years.
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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.