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18,658 results for “impacts”
Fig. 2 in Habitat associations and impacts on a juvenile fish host by a temperate gnathiid isopod
Fig. 2. Photograph of a juvenile (left) and adult male (right) Gnathia tridens collected during sampling. Adult male specimen was used for species identification (adult male photo and species identification was completed by Nico J. Smit at North-West University).
Fig. 5 in Habitat associations and impacts on a juvenile fish host by a temperate gnathiid isopod
Fig. 5. Box plots of significant burst swimming performance metrics by fish size class and gnathiid treatment level. Points represent outliers (>1.5x and <3x of the interquartile range beyond the ends of boxes).
Fig. 1 in Habitat associations and impacts on a juvenile fish host by a temperate gnathiid isopod
Fig. 1. Design schematic and photograph of in situ emergence trap used for sampling. A Control trap is illustrated. "Light-baited" and "Fish-baited" traps used the same design but contained a single submersible light (for light-baited) or a 60–90 mm giant kelpfish (for fish-baited) within the 1 L plastic bottle at the top of the traps.
Figure 4 in Distribution of Mimosa diplotricha in eastern and southern Africa and its socio- ecological impacts in northern Malawi
Figure 4: Mimosa diplotricha invasions in southern Tanzania (top row), northern Malawi (middle row), and western Ethiopia (bottom row).
Figure 3 in Distribution of Mimosa diplotricha in eastern and southern Africa and its socio- ecological impacts in northern Malawi
Figure 3: Map showing the location of Malawi in Africa (inset) and Karonga District in Malawi where the socio-economic surveys were undertaken.
Figure 2 in Distribution of Mimosa diplotricha in eastern and southern Africa and its socio- ecological impacts in northern Malawi
Figure 2: Map showing the current known distribution of Mimosa diplotricha in eastern and southern Africa (~55 km × 55 km/ half degree grid cells) using data collected in this study and other sources of information. Grey grid cells show areas surveyed; red grid cells indicate areas where Mimosa diplotricha was found to be invasive (widespread and/or abundant); orange cells where it was present and/or naturalised; and yellow cells where it was recorded with no other information.
Data for Publication - Impact of agricultural systems on arbuscular mycorrhizal fungi community composition in Robusta coffee roots in the Democratic Republic of Congo
<p>Data used for the publication:</p> <p>"Impact of agricultural systems on arbuscular mycorrhizal fungi community composition in Robusta coffee roots in the Democratic Republic of Congo" - Ieben Broeckhoven, Arne Devriese, Olivier Honnay, Roel Merckx, and Bruno Verbist</p>
FIGURE 4 in Building a baseline: a survey of the composition and distribution of the ichthyofauna of Guanabara Bay, a deeply impacted estuary
FIGURE 4 | Distribution of absolute richness (A) and species density (B) per km2 at Guanabara Bay, Rio de Janeiro, Brazil.
FIGURE 3 in Building a baseline: a survey of the composition and distribution of the ichthyofauna of Guanabara Bay, a deeply impacted estuary
FIGURE 3 | Ichthyofauna rates found for Guanabara Bay, Rio de Janeiro, Brazil. A. As a whole and for the B. Lower, C. Middle, and D. Upper estuaries separately, where "mg" corresponds to the number of extra samples needed to reach a "g" for estimated richness. When the line touches the x axis (mg = 0), the "g" values are reached by our study, that is, the value in which extra collections are not necessary.
FIGURE 2 in Building a baseline: a survey of the composition and distribution of the ichthyofauna of Guanabara Bay, a deeply impacted estuary
FIGURE 2 | Rarefaction curves for Guanabara Bay's ichthyofauna richness, Rio de Janeiro, Brazil. A. For the bay as a whole, and for the estuary compartments separately: B. Lower estuary, C. Middle estuary and D. Upper estuary.
FIGURE 1 in Building a baseline: a survey of the composition and distribution of the ichthyofauna of Guanabara Bay, a deeply impacted estuary
FIGURE 1 | Guanabara Bay map, Rio de Janeiro, divided into five km x five km quadrants. Different shades of blue indicate which estuary compartment (upper, middle or lower) the quadrant belongs to.
FIGURE 2 in Human impacts and the loss of Neotropical freshwater fish diversity
FIGURE 2 | Geographical distribution of studies published in this Special Issue of Neotropical Ichthyology. Colors indicate the type of impact. Five papers are not shown in the map, because they covered large spatial extents (i.e., whole basins or the Neotropical region).
FIGURE 1 in Human impacts and the loss of Neotropical freshwater fish diversity
FIGURE 1 | Gender of authors in this Special Issue of Neotropical Ichthyology, considering all authors (n = 107) and the first author of each paper (n = 22).
FIGURE 3 in Human impacts and the loss of Neotropical freshwater fish diversity
FIGURE 3 | Main human stressors associated with the loss of Neotropical freshwater fishes, investigated by studies published in this Special Issue of Neotropical Ichthyology.
FIGURE 1 in Negative impacts of mining on Neotropical freshwater fishes
FIGURE 1 | Dead fishes (characiforms, cichliforms, and siluriforms) after crude oil spilled in waterbody of the Amazon River basin. Credits to Barbara Fraser.
The global distribution and drivers of wood density across angiosperms and gymnosperms and their impact on forest carbon stocks
<p>Abstract:</p> <div>The density of wood is a key indicator of trees’ carbon investment strategies, impacting productivity and carbon storage. Despite its importance, the global variation in wood density and its environmental controls remain poorly understood, preventing accurate predictions of global forest carbon stocks. Here, we analyze information from 1.1 million forest inventory plots alongside wood density data from 10,703 tree species to create a spatially-explicit understanding of the global wood density distribution and its drivers. Our findings reveal a pronounced latitudinal gradient, with wood in tropical forests being up to ~30% denser than that in boreal forests. In both angiosperms and gymnosperms, hydrothermal conditions represented by annual mean temperature and soil moisture emerged as the primary factors influencing the variation in wood density globally. This indicates similar environmental filters and evolutionary adaptations among distinct plant groups, underscoring the essential role of abiotic factors in determining wood density in forest ecosystems. Additionally, our study highlights the prominent role of disturbance, such as human modification and fire risk, in influencing wood density at more local scales. Factoring in the spatial variation of wood density notably changes the estimates of forest carbon stocks, leading to differences of up to 21% within biomes. Therefore, our research contributes to a deeper understanding of terrestrial biomass distribution and how environmental changes and disturbances impact forest ecosystems.</div> <div> </div> <p>This repository only provides the tif data of this paper. All the codes could be accessed from GitHub: https://github.com/LidongMo/GlobalWoodDensityProject</p>
Impact of the COVID-19 pandemic on antidepressant use in eleven European regions: a comparative time series analysis 2018–2022
<p>Data and code supporting the article:</p> <p>Impact of the COVID-19 pandemic on antidepressant use in eleven European regions: a comparative time series analysis 2018–2022</p> <p>Prescription, prevalence and incidence data from January 2018 to December 2022 for Croatia, the Czech Republic, Finland, Germany, Slovenia, Sweden, and the United Kingdom (England, Northern Ireland, Scotland, and Wales).<br>Data include the numbers of dispensed defined daily doses (DDDs) and packs, aggregated by country and month, and prevalence and incidence of antidepressant dispensing.</p> <p>For more information, see the accompanying document ReadMe.md.</p>
The Impact of the 8-10 March 2012 Geomagnetic Storm on Inner Zone Protons as Measured by Van Allen Probes
<p>Dataset for manuscript</p> <p>ctr.mat: test-particle count, Fig4</p> <p>psdgoes.mat, psdob0.mat: PSD from RD, Fig5, 6, 8</p> <p>mar2012-ts05-flux-777001.txt, mar2012-ts05-flux-777003.txt: test-particle trajectories, Fig7</p> <p> </p>
Associations between Perceived Cancer Impact and Measures of Health Behavior in Survivors of Childhood Cancer
<p>This dataset corresponds to a manuscript titled "Associations between Perceived Cancer Impact and Measures of Health Behavior in Survivors of Childhood Cancer" which can be found in the Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-024-01667-3</p>
Data Supplement for "Impact of Charged Surfaces on the Structure and Dynamics of Polymer Electrolytes: Insights from Atomistic Simulations"
<p>Data set containing the molecular dynamics simulation data used for the journal article "Impact of Charged Surfaces on the Structure and Dynamics of Polymer Electrolytes: Insights from Atomistic Simulations" (<span>Andreas Thum, </span><span>Diddo Diddens, </span><span>Andreas Heuer, </span><em>J. Phys. Chem. C</em> <strong>2021</strong>, <em>125</em>, 25392−25403, <a href="https://doi.org/10.1021/acs.jpcc.1c07751">https://doi.org/10.1021/acs.jpcc.1c07751</a>).</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.