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18,658 results for “impacts”
Impact of water on the solubility of Si in Fe alloys_data sets
<p>Original data for the manuscript "Possible formation of hydrogen-rich layer in the topmost outer core by deeply subducted water".</p> <p>All relevant data in the manuscript and supplementary information will be uploaded.</p> <p>Codes in the manuscript are available at https://zenodo.org/record/6383354#.Yj3lZedBwuX.</p>
Dataset pertaining to paper "New insights on the radiative impacts of ozone-depleting substances"
<p>Focusing on the period 1955-2005, we here present results from offline radiative forcing (RF) calculations from a global chemistry climate model. Using realistic distributions of ODS and consistent stratospheric ozone, we show that ODS dominate the adjusted stratospheric warming of the lower stratosphere, where CO2 has little radiative impact. We also show that the global mean RF of stratospheric ozone only cancels a fraction of the RF of ODS, leaving an important ODS contribution to anthropogenic forcing. Finally we show that the RF of ODS opposes Arctic amplification, its equator-to-pole gradient being larger than the one of CO2.</p> <p>This data-set consists of the output fields including temperature adjustment and radiative forcing from offline experiments using the NCAR CESM-PORT model.</p>
High resolution maps of climatological parameters for analyzing the impacts of climatic changes on Swiss forests
<p>Assessing the impacts of climatic changes on forests requires the analysis of actual climatology within the forested area. In mountainous areas, climatological indices vary markedly with the micro-relief, i.e. with altitude, slope, and aspect. Consequently, when modelling potential shifts of altitudinal belts in mountainous areas due to climatic changes, maps with a high spatial resolution of the underlying climatological indices are fundamental. Here we present a set of maps of climatological indices with a spatial resolution of 25 by 25 m. The presented dataset consists of maps of the following parameters: average daily temperature high and low in January, April, July, and October as well as of the year; seasonal and annual thermal continentality; first and last freezing day; frost-free vegetation period; relative air humidity; solar radiation; and foehn conditions. The parameters represented in the maps have been selected in a knowledge engineering approach. The maps show the climatology of the periods 1961-1990 and 1981-2010. The data can be used for statistical analyses of forest climatology, for developing tree distribution models, and for assessing the impacts of climatic changes on Swiss forests.</p>
Modelled results for Potential Health and Economic Impacts of Shifting Manufacturing
<p>Files include modelled 100-year annual mean aerosol concentrations, zonal wind and meridional wind in the baseline and sensitivity simulations.</p>
Data supporting the study "The impact of molecular self-organisation on the atmospheric fate of a cooking aerosol proxy" by Milsom et al.
<p>Model and experimental data from the study "The impact of molecular self-organisation on the atmospheric fate of a cooking aerosol proxy" to be published in Atmospheric Chemistry and Physics. </p>
Fig. 1 in Impact Of Designed Quairokkum Hydropower Plant Reconstruction On The Syr Darya River Ichthyofauna
Fig. 1. Syr Darya River basin with main tributaries, reservoirs and towns. Sampling places: 1. 40.2934, 69.6821; 2. 40.2947, 69.7351; 3. 40.2843, 69.8047; 4. 40.2757, 69.8230; 5. 40.3412, 70.2755
Fig. 4 in Hydro Power Development And Its Impacts On The Habitats And Diversity Of Montane Birds Of Western Himalayas
Fig. 4. Ordination of 56 bird species on the first two canonical axes with biplot for key environmental variables derived from Euclidean distance. The ordination showed altitude, tree density, shrub density, canopy cover, and disturbance to be the environmental variables influencing distribution of bird in the study area.
Fig. 3 in Hydro Power Development And Its Impacts On The Habitats And Diversity Of Montane Birds Of Western Himalayas
Fig. 3. Species accumulation patterns of birds in five different habitat types of Sainj Valley, Himachal Pradesh. Estimated species richness Jackknife 1 is shown.
Fig. 1 in Hydro Power Development And Its Impacts On The Habitats And Diversity Of Montane Birds Of Western Himalayas
Fig. 1. Location map: a — location map of sampling sites in Sainj Valley of Western Himalayas; b — land use and land cover map of Sainj Valley-2010 (Jolli, 2014).
Fig. 1 in A Review Of Major Impact Factors Of Hostilities Influencing Biodiversity In The Eastern Ukraine (Modeled On Selected Animal Species)
Fig. 1. Spatial distribution of ignitions in 2010–2014 on studied area (dotted line is ATO zone's limits in 1.06– 30.09.2014).
Fig. 5 in A Review Of Major Impact Factors Of Hostilities Influencing Biodiversity In The Eastern Ukraine (Modeled On Selected Animal Species)
Fig. 5. Distribution of two snake species, H. caspius and E. dione, in Ukrainian East (ATO zone is indicated by dotted line, burnt area marked inside zone).
Fig. 3 in A Review Of Major Impact Factors Of Hostilities Influencing Biodiversity In The Eastern Ukraine (Modeled On Selected Animal Species)
Fig. 3. Spatial local distribution of ignitions in 2010–2014 in the outskirts of Slavyanoserbsk, Luhansk Region.
Data and code for: Impacts of changing snowfall on seasonal complementarity of hydroelectric and solar power
<p>Data and code to reproduce analyses in manuscript entitled: Influence of changing snowfall on seasonal complementarity of hydroelectric and solar power. Submitted to Environmental Research: Infrastructure and Sustainability.</p> <p>The contents include the following scripts and files, listed below. Scripts are listed in the order needed to reproduce the analysis, though intermediate data products have been saved so it is not necessary to reproduce the initial analytical steps.</p> <ul> <li>R/ <ul> <li>eia923_860.R: extracts solar and hydropower production data; requires local download of EIA data.</li> <li>gridMET_swep.R: downloads and summarises gridmet data; does not require prior local download.</li> <li>fdr.R: function to calculate the p-value associated with a given false discovery rate as described in the associated manuscript.</li> <li>combine_data.R combines solar, hydropower, and SWE/P data</li> <li>analysis.Rmd: primary script in which analyses are conducted</li> </ul> </li> <li>data/ <ul> <li>annual_swep.csv: output from gridMET_swep.R with annual SWE/P for each watershed in the study</li> <li>monthly_hydro.csv: output from eia923_860.R</li> <li>monthly_solar.csv: output from eia923_860.R</li> <li>combined_variables.csv: combines variables above in one CSV</li> <li>watersheds_wbd_ss: shapefiles for watersheds that drain to each dam used in the study, derived as described in the manuscript.</li> </ul> </li> </ul>
Data from: A hierarchical model for jointly assessing ecological and anthropogenic impacts on animal demography
<p>1. The management of sustainable harvest of animal populations is of great ecological and conservation importance. Development of formal quantitative tools to estimate and mitigate the impacts of harvest on animal populations has positively impacted conservation efforts.</p> <p>2. The vast majority of existing harvest models, however, do not simultaneously estimate ecological and harvest impacts on demographic parameters and population trends. Given that the impacts of ecological drivers are often equal to or greater than the effects of harvest, and can covary with harvest, this disconnect has the potential to lead to flawed inference.</p> <p>3. In this study, we used Bayesian hierarchical models and a 43-year capture-mark-recovery dataset from 404,241 female mallards (Anas platyrhynchos) released in the North American midcontinent to estimate mallard demographic parameters. Further, we model the dynamics of waterfowl hunters and habitat, and the direct and indirect effects of anthropogenic and ecological processes on mallard demographic parameters.</p> <p>4. We demonstrate that density-dependence, habitat conditions, and harvest can simultaneously impact demographic parameters of female mallards, and discuss implications for existing and future harvest management models.</p> <p>5. Our results demonstrate the importance of controlling for multicollinearity among demographic drivers in harvest management models, and provide evidence for multiple mechanisms that lead to partial compensation of mallard harvest. We provide a novel model structure to assess these relationships that may allow for improved inference and prediction in future iterations of harvest management models across taxa.</p>
Predicting harvest impact and establishment success when translocating highly mobile and endangered species
<p>Harvesting individuals for translocations can negatively impact source populations, a critical challenge for species reduced to small populations. Consequently, translocation cohorts often remain small, reducing the establishment probability at the destination. Balancing the potential benefits and risks of such translocations is further complicated by philopatry and natural metapopulation dynamics if the target species is highly mobile. These challenges highlight the importance of translocation feasibility assessments, but such assessments often remain qualitative to date. The critically endangered Kuaka (Whenua Hou Diving Petrel; Pelecanoides whenuahouensis) is a philopatric, highly mobile seabird that could benefit from conservation translocations, but only one small population remains. Through expert elicitations with a user-friendly Shiny app, we developed a novel metapopulation extension to an integrated population model fitted to long-term data, allowing us to simultaneously project harvest impact on the source and establishment of destination populations under alternative translocation scenarios, while accounting for philopatry and metapopulation dynamics. Establishment of a destination population without excessive impact on the source was possible, but subject to uncertainty about philopatry and metapopulation dynamics. Accounting for juveniles returning to the source post-translocations reduced impact on the source, but also decreased establishment at the destination. Natural movements of adults and juveniles between source and destination populations were predicted to modulate effects of different harvest intensities. Synthesis and application: Using state-of-the art integrated population models and expert elicitations, we illustrate how translocation feasibility can be evaluated transparently and quantitatively, even when targeting endangered, philopatric, and highly mobile species. Our approach is a considerable improvement on current qualitative feasibility assessments. However, we also illustrate that, ultimately, the favoured translocation strategy depends on balancing biological and other fundamental objectives inherent to translocations. Therefore, the ideal strategy cannot be determined solely mathematically, and feasibility assessments should incorporate explicit value statements. Our methodology is applicable to any future translocation scenario.</p>
The impact of Indonesian Throughflow constrictions on eastern Pacific upwelling and water-mass transformation
<p>Netcdf data and Matlab processing scripts for the article: </p> <p>Eabry, Holmes and Sen Gupta (2022): The impact of Indonesian Throughflow constrictions on eastern Pacific upwelling and water-mass transformation. Journal of Geophysical Research: Oceans. <a href="https://doi.org/10.1029/2022JC018509">https://doi.org/10.1029/2022JC018509</a></p> <p>Included are netcdf files with output from the ACCESS-OM2 1-degree ocean model averaged over years 500-600 of the spin-up simulation. CONTROL indicates the control simulation (realistic ITF topography), OPENITF indicates the Open ITF experiment and DIFF indicates difference files between the two. Please refer to the meta-data within the netcdf files for more information. Scripts to help with plotting standard variables are part of the COSIMA cookbook repository at <a href="https://github.com/COSIMA/cosima-recipes">https://github.com/COSIMA/cosima-recipes</a>.</p> <p>An example script Control_WMT_budget.m is provided to plot the control WMT budget and can be easily modified to plot the Open ITF or anomalous WMT budget. This script uses the Pacific masks found in mask.mat. The small tendency term is provided separately as dV_dt_nrho.mat.</p>
Scenario data for article: Effects of the energy transition on environmental impacts of cobalt supply: A prospective Life Cycle Assessment study on future supply of cobalt
<p>This dataset contains the background data for the paper '<a href="https://onlinelibrary.wiley.com/doi/10.1111/jiec.13258">Effects of the energy transition on environmental impacts of the cobalt supply: A prospective Life Cycle Assessment study on the future cobalt supply</a>' as published in the Journal of Industrial Ecology.</p> <p><strong>Please note that an easier to use version of this data for LCA is available through the Premise (<a href="https://www.sciencedirect.com/science/article/pii/S136403212200226X">Sacchi et al. 2022</a>) Community Scenarios <a href="https://github.com/premise-community-scenarios/cobalt-perspective-2050">here</a>.</strong> This version is slightly adapted to fit into the Premise architecture and is compatible with ecoinvent v3.8 cutoff.</p> <p>This repository contains:</p> <ul> <li>Python code + readme to model the variables, generate presamples packages and generate LCA results based on those. (code folder)</li> <li>Input and output data for Variables 1-3 (files 1&2)</li> <li>Presamples excel sheets for each variable/scenario combination (file 3)</li> <li>Summarized LCA results (the full results can be generated through running the code provided) (file 4)</li> <li>Full LCA results used for the contribution analysis (file 5)</li> <li>Underlying data for each of the figures (file 6)</li> </ul> <p>We refer to the paper (linked above) for more information on the study.<br> </p> <p><strong>License: </strong>The metal supply scenario data is licensed under the CC-BY 4.0 license.</p> <p><strong>Access: </strong>Open access</p> <p> </p> <p>[Changelog]</p> <p>2023-03-23 - 1.3.1: Add link to Premise Community scenario page.<br> 2022-05-18 - 1.3.0: Fix minor error in data files '4 - LCA results' and '6 - Figure data' in demand amounts for total impacts.<br> 2022-04-06 - 1.2.1: Included link to article after publication<br> 2022-03-30 - 1.2.0: Included underlying figure data<br> 2022-01-24 - 1.1.1: Opened repository after paper acceptance<br> 2021-11-26 - 1.1.0: Update of code to comply with peer-review<br> 2021-07-12 - 1.0.0: Set-up of repository</p>
Data for Global ecological and biogeochemical impacts of pelagic tunicates
<p>Model results and observational validation data for "Global ecological and biogeochemical impacts of pelagic tunicates." </p> <p> </p> <p>Model outputs for 1) the COBALTv2 control simulation, 2) the GZ-COBALT base simulation, and the five sensitivity experiments in the following files:</p> <p> </p> <p>Model grid and area fields</p> <ul> <li><em>ocean_annual_static.nc</em></li> <li><em>ocean_static.nc</em></li> </ul> <p> </p> <p>Monthly ocean surface fields</p> <ul> <li>Nitrate, phosphate, silica, chlorophyll</li> <li><em>[expt]_ocean_cobalt_omip_sfc.1988-2007.clim.tar.gz</em></li> </ul> <p> </p> <p>Monthly water column integrated fields</p> <ul> <li>primary production</li> <li><em>[expt]_ocean_cobalt_omip_2d.1988-2007.clim.tar.gz</em></li> </ul> <p> </p> <p>Monthly 100-m integrated tracer fields</p> <ul> <li>Small and large phytoplankton, diazotrophs, small, medium, and large zooplankton, small and large tunicate, bacteria</li> <li>Dissolved organic nitrogen</li> <li>Nitrogen detritus</li> <li><em>[expt]_ocean_cobalt_tracers_int.1988-2007.clim.tar.gz</em></li> </ul> <p> </p> <p>Monthly 100-m integrated fluxes</p> <ul> <li>Production of: <ul> <li>Small and large phytoplankton, diazotrophs, small, medium, and large zooplankton, small and large tunicate, bacteria</li> </ul> </li> <li>Loss to zooplankton from: <ul> <li>Small and large phytoplankton, diazotrophs, bacteria, small and medium zooplankton, small and large tunicates</li> </ul> </li> <li>Aggregation loss from: <ul> <li>Small and large phytoplankton, large tunicates</li> </ul> </li> <li>Injestion by: <ul> <li>Small, medium, and large zooplankton, small and large tunicates, higher predators</li> </ul> </li> <li>Detritus production by: <ul> <li>Small, medium, and large zooplankton, small and large tunicates, higher predators</li> </ul> </li> <li><em>[expt]_ocean_cobalt_fluxes_int_1988-2007.clim.tar.gz</em></li> </ul> <p> </p> <p>Monthly detritus fluxes past 100-m:</p> <ul> <li><em>[expt]_ocean_cobalt_fdet_100.1988-2007.clim.tar.gz</em></li> </ul> <p> </p> <p>Annual 3-D tracers:</p> <ul> <li>Phytoplankton and zooplankton carbon</li> <li>Mesozooplankton and tunicate carbon</li> <li><em>[expt]_ocean_cobalt_omip_tracers_year_z_1988-2007.nc</em></li> </ul> <p> </p> <p>Observational data compilation in 1-degree grid cells:</p> <ul> <li>Data compilation of small tunicates (appendicularians, mg C m<sup>-3</sup>) and large tunicates (thaliaceans, mg C m<sup>-3</sup>) as described in the Luo et al. publication. </li> <li>Mesozooplankton from the COPEPOD carbon biomass dataset in mg C m<sup>-3</sup> (Moriarty and O'Brien 2012).</li> <li>The chlorophyll growing season mean (from GlobColour data product, blended in the Southern Ocean with Johnson et al. 2013), in units of mg Chl m<sup>-3</sup>.</li> <li>The tunicate column is a simple addition of the appendicularian + thaliacean column, assuming missing values are zero (use with caution). </li> <li>Please note that these values <strong><em>do not </em></strong>incorporate the 10x biomass adjustment from net-based sampling; this must be added in afterwards.</li> <li><em>ObsCompilation_SmLgTunicates_Mesozooplankton.csv</em></li> </ul> <p> </p> <p>See the below publication for more details:</p> <p><strong>Luo, Jessica Y., </strong>Stock, C. A., Henschke, N., Dunne, J. P., O'Brien, T. D., Global ecological and biogeochemical impacts of pelagic tunicates. <em>Progress in Oceanography</em>. (2022) doi:<a href="https://doi.org/10.1016/j.pocean.2022.102822">10.1016/j.pocean.2022.102822</a></p>
Code and data from: Experiential legacies of early-life dietary polyunsaturated fatty acid (PUFA) content on juvenile Walleye: Potential impacts from climate change
<p>Climate-induced shifts in plankton blooms may alter fish recruitment by affecting the fatty acid composition of early-life diets and corresponding performance. Early-life nutrition may immediately affect survival but may also have a lingering influence on size and growth via experiential legacies. We explored the short- and longer-term performance consequences of different concentrations of polyunsaturated fatty acids (PUFA) for juvenile Walleye (<em>Sander vitreus</em>, Mitchill 1818). For the first 10 d of feeding, juveniles were provided <em>Artemia </em>enriched with: oleic acid (low PUFA), high docosahexaenoic acid and high eicosapentaenoic acid (high PUFA), or high PUFA and a form of vitamin E (high PUFA + E). After 10 d, all fish were fed a high-quality diet and reared for an additional 27 d. Juveniles fed either high PUFA diet were 1.15-fold larger (PUFA mean ± SD = 20.0 ± 3.3 mg; PUFA + E = 19.8 ± 3.3 mg) than those fed the low PUFA (17.3 ± 2.8 mg) diet after 10 d of feeding. After 27 days, juveniles initially fed the high PUFA diet were still 1.10-1.20-fold larger (PUFA = 407.0 ± 61.6 mg; PUFA + E = 422.7 ± 58.7 mg) than those initially fed the low PUFA diet (356.5.0 ± 39.5 mg). Our findings demonstrate that fatty acid composition of juvenile Walleye diets has immediate and lingering size effects. As changes in climate continue to alter lower trophic levels, fish management and conservation may need to consider short- and long-term effects of temporal or spatial differences in early-life diet quality.</p>
X-ray imaging of 30 year old wine grape wood reveals cumulative impacts of rootstocks on scion secondary growth and harvest index
<p><span></span></p> <p><span>Annual rings from vines in a 30 year old, California rootstock trial were measured to determine the effects of 15 different rootstocks on Chardonnay and Cabernet Sauvignon scions. Viticultural traits measuring vegetative growth, yield, berry quality, and nutrient uptake were measured at the beginning and end of the lifetime of the vineyard.</span></p> <p><span>X-ray Computed Tomography (CT) was used to measure ring widths in 103 vines. Ring width was modeled as a function of ring number using a negative exponential model. Early and late wood ring widths, cambium width, and scion trunk radius were correlated with 27 traits. </span></p> <p><span>Modeling of annual ring width shows that scions alter the width of the first rings but that rootstocks alter the decay thereafter, consistently shortening ring width throughout the lifetime of the vine. The ratio of yield to vegetative growth, juice pH, photosynthetic assimilation and transpiration rates, and stomatal conductance are correlated with scion trunk radius.</span></p> <p><span>Rootstocks modulate secondary growth over years, altering hydraulic conductance, physiology, and agronomic traits. Rootstocks act in similar but distinct ways from climate to modulate ring width, which borrowing techniques from dendrochronology, can be used to monitor both genetic and environmental effects in woody perennial crop species.</span></p>
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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.