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6,569 results for “Long-term”
The Long-term energy planning with highly detailed demand modelling for Egypt: an IOA-MAED-OSeMOSYS soft-linking approach
<p>These files contain an updated model built for Egypt's power system as of 2023, with detailed demand simulation in 3 different scenarios; business as usual, high economic growth and industrial energy efficiency.</p> <p>Also, a multi region model built for Egypt, Sudan and Ethiopia power sector technologies for future cooperation scenarios.</p>
Advanced photochemical processes for the manufacture of nanopowders: an evaluation of long-term pilot plant operation
<p>Dataset for the publication:</p> <p>Advanced photochemical processes for the manufacture of nanopowders: an evaluation of long-term pilot plant operation</p> <p>React. Chem. Eng., 2022, 7, 968–977</p> <p>DOI: 10.1039/d1re00374g</p>
Assessment of the nesting population demography of loggerhead turtles (Caretta caretta) in La Roche Percée: first long-term monitoring in New Caledonia.
<p><span>Population monitoring is essential to assess, manage and protect threatened species. Although the South Pacific loggerhead turtle subpopulation is classified as critically endangered by the IUCN, monitoring data are scarce. </span></p> <p><span>This study reports the results of the first long-term monitoring of the nesting population of loggerhead turtles held by Bwärä Tortues Marines on La Roche Percée beach, New Caledonia. </span><span>From 2006 to 2020, Capture Mark Recapture was used to identify nesting individuals. Time and nesting success were recorded on site.</span></p> <p><span>A total of 452 different females were observed and tagged over 14 years. The number of different nesting individuals observed each year showed a significant increase along the timeframe of the study. A remigration interval of 3.34 years was observed and the overall nesting success was 59.02%. This study also reports the inter-nesting intervals, monthly and hourly variabilities in the visits at the nesting site.</span></p> <p><span>The conservation actions led by Bwärä Tortues Marines seem to be correlated with a higher nesting success. This study provides encouraging results and highlights the need to pursue the monitoring and conservation actions implemented by Bwärä Tortues Marines. Further management recommendations are also provided.</span></p>
Data from: Long-term, not short-term, temperatures predict timing of egg-laying in European Starling (Sturnus vulgaris)
<p>Temperature is thought to be an important supplemental cue used by female birds to time breeding. It is widely assumed that late spring temperatures, within ~1 month of egg-laying, are most predictive of laying date, consistent with the idea that temperature is used to fine-tune timing of breeding to year-specific local conditions at the time of laying. Here we show that a relatively broad, long-term, temperature window (Jan 2 – Apr 4, 92 days; r2 = 0.73) best predicted timing of egg-laying in European Starlings (<em>Sturnus vulgaris</em>). A "mid-winter" temperature window was also strongly correlated with laying date (r2 = 0.58) but there was no support for an influence of short-term temperatures immediately before egg-laying. We assessed the relationship between ambient temperature and timing of egg-laying using three complimentary approaches: a) an "unconstrained", exploratory analysis, b) a traditional sliding window approach, and c) specific, biologically-informed temperature windows. Our results contrast markedly with the widely held view, in the avian breeding phenology literature, that immediate, pre-breeding, temperatures best predict short-term variation in laying because they allow birds to fine-tune timing of breeding to local conditions around the time of egg-laying. This means that mechanisms that allow integration of long-term temperature information must exist in birds – perhaps most parsimoniously involving direct effects of temperature on growth of the bird's ectothermic insect prey– even though these are currently poorly characterized.</p>
Dataset for the paper High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing
<p>Information regarding the Dataset, corresponding to the paper: “Thakur, M., Cai, N., Zhang, M. et al. High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing. npj 2D Mater Appl 7, 11 (2023). https://doi.org/10.1038/s41699-023-00373-5”</p> <p>This folder contains the raw data and complete package of codes used to analyze, view, save, and plot data for the publication titled "High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing". The code folder, "OpenNanopore-nanopore-tools", can be used to plot raw data which corresponds to the figures in the paper and supplementary information. </p>
Figure 5 in Long-term effects of saffron pollen on development, reproduction and predation capacity of Neoseiulus cucumeris (Acari: Phytoseiidae)
Figure 5 The age-stage specific consumption rate (Cxj) of Neoseiulus cucumeris when fed on saffron pollen for 10 and 20 generations (G10, G20) then switched toTetranychus urticae.
Figure 6 The age-specific predation rate k in Long-term effects of saffron pollen on development, reproduction and predation capacity of Neoseiulus cucumeris (Acari: Phytoseiidae)
Figure 6 The age-specific predation rate k (x), and age-specific net predation rateqx() of Neoseiulus cucumeris when fed on saffron pollen for 10 and 20 generations (G10, G20) then switched toTetrany-
Figure 2 in Long-term effects of saffron pollen on development, reproduction and predation capacity of Neoseiulus cucumeris (Acari: Phytoseiidae)
Figure 2 Age-specific survivorship (lx), age-specific fecundity (mx), and age-stage specific fecundityfxj() of Neoseiulus cucumeris fed on saffron pollen for 20 consecutive generations (G1-G20).
Figure 1 in Long-term effects of saffron pollen on development, reproduction and predation capacity of Neoseiulus cucumeris (Acari: Phytoseiidae)
Figure 1 Age-stage-specific survival rate (sxj) of Neoseiulus cucumeris fed on saffron pollen for 20 consecutive generations (G1-G20).
Figure 4 in Long-term effects of saffron pollen on development, reproduction and predation capacity of Neoseiulus cucumeris (Acari: Phytoseiidae)
Figure 4 Age-specific survivorship (lx), age-specific fecundity (mx), and age-stage specific fecundity (fxj) of Neoseiulus cucumeris when fed on saffron pollen for 10 and 20 generations (G10, G20) then switched toTetranychus urticae.
Figure 3 in Long-term effects of saffron pollen on development, reproduction and predation capacity of Neoseiulus cucumeris (Acari: Phytoseiidae)
Figure 3 Age-stage-specific survival rate (sxj) of Neoseiulus cucumeris when fed on saffron pollen for 10 and 20 generations (G10, G20) then switched toTetranychus urticae.
Data for "Symbiotic nutrient cycling enables the long-term survival of Aiptasia in the absence of heterotrophic food sources"
<p>Supplementary figures and raw data associated with the publication "Symbiotic nutrient cycling enables the long-term survival of Aiptasia in the absence of heterotrophic food sources". Data for physiological and NanoSIMS measurements are uploaded as individual sheets/tabs in the .xslx file. </p> <p>"Fig. 1" contains data for physiological measurements (biomass, protein content, and symbiont density) of fed and starved Aiptasia. </p> <p>"Fig. 2" contains data for NanoSIMS measurements for regions of interest from the tissue of fed and starved Aiptasia as well as unlabelled control Aiptasia. </p> <p>The R script contains all code required to repeat the data analysis and plotting.</p> <p> </p>
Long-term spatial memory, across large spatial scales, in Heliconius butterflies
<p>Data accompanying "Long-term spatial memory, across large spatial scales, in <em>Heliconius </em>butterflies", <em>Current Biology </em>2023:</p> <p> </p> <p>exp1.csv. Behavioural data from experiment 1.</p> <p>exp2.csv. Behavioural data from experiment 2.</p> <p>exp3.csv. Behavioural data from experiment 3.</p> <p>Exp1&2.csv. Behavioural data comparing experiment 1 and 2.</p> <p>Exp1byDay.csv. Behavioural data for experiment 1 split by day.</p> <p>Exp2byDay.csv. Behavioural data for experiment 2 split by day.</p> <p>Exp3byDay.csv. Behavioural data for experiment 3 split by day.</p> <p>exp1.R. R code for experiment 1 analysis.</p> <p>exp2.R. R code for experiment 2 analysis.</p> <p>exp3.R. R code for experiment 3 analysis.</p> <p>exp1vsExp2.R. R code for comparing experiment 1 and 2.</p>
Dataset for Modelling the long-term carbon storage potential from recalcitrant matter inputs in tropical arable croplands
<p>Soil organic carbon dynamics for Ecuadorian croplands on the period 2020-2070, under RCP4.5, for various carbon sequestration alternatives, relative to a business as usual situation. Results obtained from adapted version of RothC for carbon sequestration technologies.</p>
Evolution of reproductive isolation in a long-term evolution experiment with Drosophila melanogaster: 30 years of divergent life history selection
<p>We ask if three decades and over 1,500 generations of divergent life history selection on age at reproduction has resulted in the evolution of reproductive isolation (RI) between laboratory populations of <em>Drosophila</em> <em>melanogaster</em>. We tested for premating, postmating-prezygotic and postzygotic reproductive isolation between 3 replicate population pairs. Large evolved differences in body size between selection treatments suggested the potential for prezygotic barriers driven by sexual selection or physical incompatibilities between the sexes. Although a simple prediction would be preference for larger size, creating directional isolation, our results from individual mate choice trials indicate that populations from both selection treatments show a marked bias towards homotypic mate choice; indicative of prezygotic RI driven by sexual selection or sexual conflict. Hybridization between the focal populations resulted in the production of viable adult flies with intermediate size and developmental traits. We observed a suggestive but statistically non-significant trend of fitness decline in the F2 generation of hybrids, but no significant evidence suggesting the evolution of postmating-prezygotic or postzygotic RI. Our findings are in accord with extant literature that posits that premating RI evolves before postmating forms of RI.</p>
Dataset for the intervention effects and long-term changes in physical activity and cardiometabolic outcomes among children at risk of noncommunicable diseases in South Africa
<p>Dataset used to evaluate the short-term effects of the physical and health <em>KaziKidz</em> intervention on cardiometabolic risk factors and the long-term changes thereof among school-aged children at risk of NCDs from disadvantaged communities in South Africa.</p> <p>It encompasses anonymized, unique, identification numbers, anthropometric and clinical measures, such as blood pressure, blood sugar and blood lipids, and Actigraphy-measured physical activity levels. Assigned categories to each cardiovascular risk factor and the overall classification as at risk or not is available too.</p>
Supplementary data for Long-term trends in functional diversity of exploited marine fish in the Azores archipelago: past and present
<p>Supplementary infromation for the manuscript entitled "<strong>Long-term trends in functional diversity of exploited marine fish in the Azores’ archipelago: past and present</strong>"</p>
Data for "Symbiotic nutrient exchange enhances the long-term survival of cassiosomes, the autonomous stinging-cell structures of Cassiopea"
<p>Raw data linked to the publication "Symbiotic nutrient exchange enhances the long-term survival of cassiosomes, the autonomous stinging-cell structures of <em>Cassiopea".</em> NanoSIMS data and data from the survival experiments are available as individual tabs in the excel file.</p>
Data set from long-term wave, wind and response monitoring of the Bergsøysund Bridge
<p>Wind, wave, displacement and acceleration data have been collected in a measurement campaign on the Bergsøysund Bridge between the years 2014 and 2018. The data set is now available in this open-access research entry, for free access and download. The data is collected in two h5-files (hierachical data format), with sampling rates 2 Hz and 10 Hz, downsampled from the raw sampling rate of 200 Hz. Note that the data has undergone some minimal signal processing and adjustment, in line with that applied to the Hardanger Bridge data described in Fenerci et al. (2021). Tools and examples for import, data visualization and initial analysis are given in the opyndata Python package available on GitHub (Kvåle, 2022). Furthermore, a document briefly describing the hierarchy and structure of the data, is given. For more details on the measurement system and the bridge, it is referred to Kvåle and Øiseth (2017).</p> <p>The updated, copyrighted version of the appended preprint is published by ASCE with the following DOI: <a href="https://doi.org/10.1061/JSENDH.STENG-12095">10.1061/JSENDH.STENG-12095</a></p>
The Long-term, High-accuracy and Seamless Soil Moisture (LHS-SM) dataset over the Qinghai-Tibet Plateau: part 1 (2001-2010)
<p>Soil moisture (SM) is a vital variable in the water-energy cycle and characterizing its spatiotemporal dynamics is crucial for understanding the impacts of climate change. Although substantial efforts have been devoted to derive SM data at fine scale, there is still a research gap in obtaining the long-term, high-accuracy and high-resolution SM data over the Qinghai-Tibet Plateau (QTP) due to its complex topography. Therefore, this study generated the long-term, high-accuracy and seamless soil moisture (LHS-SM) dataset over the QTP during 2001-2020 using a two-step downscaling method. First the daily SM data from the Climate Change Initiative program of the European Space Agency (ESA CCI) was downscaled to 1km utilizing five machine learning approaches. Then a dynamic data merging method that considers the spatiotemporal nonstationary error was applied to derive the final LHS-SM data. Results indicated that LHS-SM data exhibited satisfying accuracy (mean R = 0.55, ubRMSE = 0.049 m³/m³) and certain improvement to the ESA CCI SM data both at station and network scales. The dataset can be used for various regional hydrology, meteorology, ecological analysis and modeling.</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.