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18,658 results for “impacts”
Data of paper entitled "The Impact of Financial Influencers, Social Influencers, and FOMO Economy on the Decision-Making of Investment on Millennial Generation and Gen Z of Indonesia"
<p>The repository contains:</p> <ol> <li>Result of inner model of PLS</li> <li>Result of outer model of PLS</li> <li>Questionnaire result</li> </ol>
Data from: Do Tasmanian devil declines impact ecosystem function?
<p>Tasmanian eucalypt forests are among the most carbon-dense in the world, but projected changes in climate could destabilize this critical carbon sink. While the impact of abiotic factors on forest ecosystem carbon dynamics have received considerable attention, biotic factors, such as the input of animal scat, are less understood. Tasmanian devils (<em>Sarcophilus harrisii</em>)—an osteophageous scavenger that can ingest and solubilize nutrients locked in bone material—may subsidize plant and microbial productivity by concentrating bioavailable nutrients (e.g., nitrogen and phosphorus) in scat latrines. Dramatic declines in devil population densities are driven by the spread of a transmissible cancer and may have underappreciated consequences for soil organic carbon (SOC) storage and forest productivity by altering nutrient cycling. Here, we fuse experimental data and modeling to quantify and predict future changes to forest productivity and SOC under various climate and scat-quality futures. We find that devil scat significantly increases concentrations of nitrogen, ammonium, phosphorus, and phosphate in the soil, and shifts soil microbial communities towards those dominated by r-selected (e.g., fast-growing) phyla. Further, under simulated increases in temperature and precipitation, devil scat inputs are projected to increase above- and belowground net primary productivity and microbial biomass carbon through 2100. In contrast, when devil scat is replaced by lower-quality scat (e.g., from non-osteophageous scavengers and herbivores), forest carbon pools either increase more slowly or decline. Together, our results suggest biotic factors will interact with climate change to drive current and future carbon pool dynamics in Tasmanian forests.</p>
FIGURE 6 in The genera that never were: The impact of Janeia and Janacekia on phyletic and taxonomic relations within the Solemyidae (Bivalvia: Protobranchia)
FIGURE 6 (caption on next page).
Raw data for: Evaluating the impact of alyssum flower strips on biological control of key pests in flue-cured tobacco agroecosystems
<p>Flue-cured tobacco, <em>Nicotiana tabacum</em> (L.) is often attacked by various pests such as aphids, whiteflies, and tobacco budworms. Insecticide application has been the primary method in managing these pests in Yunnan province. However, it is necessary to look for more sustainable strategies that can help control pests. In this context, conservation biological control is a highly promising alternative, involving the cultivation or conservation of flowering plants within the agricultural ecosystem to attract and support natural enemies. The objective of this study was to evaluate the potential of alyssum, <em>Lobularia maritima</em> (L.) Desv. in attracting natural enemies and managing pests in flue-cures tobacco cultivation. The study conducted two field experiments over successive years, each with two treatments and three replicates, arranged in a completely randomized design. The treatments were (1) tobacco monoculture, and (2) tobacco intercropped with alyssum flower strips. The population density of natural enemies and pests was monitored weekly throughout the study period. The results showed that the presence of alyssum flowers in the tobacco + alyssum treatment significantly increased the abundance of generalist predators such as syrphids, rove beetles, carabids, <em>Orius</em> sp., and spiders during both experiments. This increase in predator population led to a substantial reduction in tobacco pests, particularly aphids. Intercropping alyssum with tobacco can serve as an effective strategy for managing pests specific to the Nicotiana plant, as well as addressing the limited availability of approved insecticides for this crop. This approach may help to mitigate pest-related issues and reduce the reliance on insecticides in tobacco cultivation, contributing to more sustainable pest management practices.</p>
Fig. 2 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 2. Image illustrating tourists at the beginning of the snorkeling excursion (Lima, 2008).
Figure 1 in Study of ecosystem of the Sukhum Bay with emphasis anthropogenic impact, Abkhazian Black Sea coast
Figure 1. The map of sampling survey in the port of Sukhum.
Figure 5 in Impact of alien fishes on the distribution pattern of indigenous freshwater fishes of Punjab, Pakistan
Figure 5. Loading of PCA showed that correlation among the four sites.
Figure 3 in Impact of alien fishes on the distribution pattern of indigenous freshwater fishes of Punjab, Pakistan
Figure 3.Families of fish species documented during surveys.
Impact of food prices and availabilty in the UK
<p>The dynamics of food prices and availability in the UK significantly impact both the economy and the daily lives of its residents. Fluctuations in food prices are influenced by various factors, including global supply chain disruptions, climatic conditions, Brexit, and geopolitical tensions. Rising food prices have led to increased household expenditure, particularly affecting low-income families and exacerbating food insecurity. The availability of food products is also affected, with certain items becoming scarce or more expensive due to import challenges and local production limitations.</p> <p>The agricultural sector in the UK faces pressures from both market demands and environmental policies, impacting food production costs and sustainability efforts. Additionally, changes in consumer behavior, such as shifts towards plant-based diets and organic foods, also play a role in shaping the market.</p> <p>Policy responses and interventions, such as subsidies, trade agreements, and support for local farmers, are crucial in managing these impacts. Efforts to enhance food security and affordability include promoting sustainable farming practices, improving supply chain resilience, and addressing socio-economic disparities.</p> <p>Overall, the interplay between food prices, availability, and broader economic and environmental factors creates a complex landscape that requires coordinated efforts from policymakers, industry stakeholders, and communities to ensure a stable and equitable food system in the UK.</p>
Data from: Early detection of human impacts using acoustic monitoring: an example with forest elephants
<p>The impacts of human activities and climate change on animal populations often take considerable time before they are reflected in typical measures of population health such as population size, demography, and landscape use. Earlier detection of such impacts could enhance the effectiveness of conservation strategies, particularly for species with slow population growth. Passive acoustic monitoring is increasingly used to estimate occupancy and population size, but this tool can also monitor subtle shifts in behavior that might be early indicators of changing impacts. Here we use data from an acoustic grid, monitoring 1250 km<sup>2</sup> of forest in the northern Republic of Congo, to study how forest elephants (<em>Loxodonta cyclotis</em>) assess the risk of poaching across a landscape that includes a national park as well as active and inactive logging concessions. By quantifying emerging patterns of behavior at the population level, arising from individual-based decisions, we gain an understanding of how elephants perceive their landscape along an axis of human disturbance. Forest elephants in relatively undisturbed forests are active nearly equally day and night. However, they become more nocturnal when exposed to a perceived risk such as poaching. We assessed elephant perception of risk by monitoring changes in the likelihood of nocturnal activity relative to differing levels of human activity. We show that logging is perceived to be a risk on short-time and small spatial scales but with little effect on animal density. However, risk avoidance persisted in areas with relatively easy access to poachers and in more open habitats where poaching has historically been concentrated. Increased nocturnal activity is a common response in many animals to human intrusion on the landscape. Provided a species is acoustically active, passive acoustic monitoring can measure changes in human impact at the early stages of such change, informing management priorities.</p>
Global economic impact of weather variability on the rich and the poor
<p>This repository provides data and code to reproduce the results of the publication "L. Quante, S. N. Willner, C. Otto, and A. Levermann (2024). <a href="https://doi.org/10.1038/s41893-024-01430-7" target="_blank" rel="noopener">Global economic impact of weather variability on the rich and the poor, <em>Nature Sustainability</em></a>".</p> <p><strong>This repository contains:</strong></p> <p>- 01_forcing_marginal_effects: marginal effects data to be combined with climate model data to generate the impacts<br>- 02_impact_data - timeseries of production disruption, generated as described in the methods "Estimation of direct production losses", using the code in 03_impact_downscaling<br>- 04_acclimate_settings: example settings for acclimate runs using the impact files. Due to licensing restrictions, we can not provide the EORA network data used for the simulations piublicly. 04b_income_share_generation provides the income data (from the World Bank) used to disaggregate consumption data in the EORA network to five income quintiles.<br>- 05_pre_processed_simulation_output: the output from the acclimate simulations, pre-procesed for analysis using the code provided in 06_analysis-code<br>- 07_figures_tables: figures and supplementary data.<br>- 08_addtional_data: data used for plotting, i.e. the World Bank classification of country income levels.</p> <p><strong>Dependencies:</strong></p> <ul> <li>a working environment is provided in environment.yml</li> <li>the Acclimate post-processing package can be downloaded from the respective GitHub repostory with <code>git@github.com:acclimate/post-processing.git</code>. Switch to the develop branch with <code>git checkout develop</code> and install the package with <code>conda develop .</code> from within the repository</li> </ul>
The Impact of the COVID-19 Pandemic on Women's Contribution to Public Code - Replication Package
<p>Replication package for the article "The Impact of the COVID-19 Pandemic on Women's Contribution to Public Code"</p>
Dataset and code for article "Expanded detection and impact of BAP1 alterations in cancer"
<p>Dataset and code for article titled "Expanded detection and impact of <em>BAP1 </em>alterations in cancer". Includes Singularity image and Nextflow code for somatic variant calling pipeline. Also includes figure code (qmd, html, and pdf formats), analysis code (qmd), and public raw and processed data of reasonable file size. Controlled-access data and large file size data (e.g., combined dataset of pan-cancer individual RNA-seq files) must be downloaded separately from the TCGA Genomic Data Commons or PanCanAtlas Publication pages. R code written in R version 4.4.1 and provided with R environment (renv) information.</p>
Fig. 2 in Impacts of resource limitations on the reproduction behaviour in the Agile Frog (Rana dalmatina) on the territory of Natura park "Shumensko plato"
Fig. 2. Male and female Rana dalmatina in an artificial basin in amplexus for 12 days.
Fig. 1 in Impacts of resource limitations on the reproduction behaviour in the Agile Frog (Rana dalmatina) on the territory of Natura park "Shumensko plato"
Fig. 1. Registered egg-clutches out of the water near the ponds.
2020 IMPACTS HVPS Individual Particle Measurements, Habits, and Size Distributions
<p>Morphological measurements for particles detected by the vertical channel of the High Volume Precipitation Spectrometer (HVPS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in V_1.nc are individual particle files, while files ending in V.HVPS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (citation pending publication), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).</p> <p> </p> <p><strong>Some additional notes on habits</strong></p> <p>The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:</p> <div>0: sphere</div> <div>1: column/needle</div> <div>2: rejected</div> <div>3: tiny</div> <div>4: plate</div> <div>5: irregular</div> <div>6: graupel</div> <div>7: dendrite</div> <div>8: aggregate</div> <div>9: center-out</div> <div> </div> <div> </div> <div>The individual particle files have numeric codes for various habits. These codes refer to the following habits:</div> <div> </div> <div>77: missing</div> <div>67: center-out</div> <div>116: tiny</div> <div>111: rejected</div> <div>108: column/needle</div> <div>97: aggregate</div> <div>103: graupel</div> <div>115: sphere</div> <div>104: plate<br>105: irregular<br>100: dendrite</div> <div> </div>
2020 IMPACTS 2DS Individual Particle Measurements, Habits, and Size Distributions
<p>Morphological measurements for particles detected by the horizontal channel of the 2-Dimensional Stereo Probe (2DS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in H_1.nc are individual particle files, while files ending in H.2DS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (citation pending publication), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).</p> <p> </p> <p><strong>Some additional notes on habits</strong></p> <p>The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:</p> <div>0: sphere</div> <div>1: column/needle</div> <div>2: rejected</div> <div>3: tiny</div> <div>4: plate</div> <div>5: irregular</div> <div>6: graupel</div> <div>7: dendrite</div> <div>8: aggregate</div> <div>9: center-out</div> <div> </div> <div> </div> <div>The individual particle files have numeric codes for various habits. These codes refer to the following habits:</div> <div> </div> <div>77: missing</div> <div>67: center-out</div> <div>116: tiny</div> <div>111: rejected</div> <div>108: column/needle</div> <div>97: aggregate</div> <div>103: graupel</div> <div>115: sphere</div> <div>104: plate<br>105: irregular<br>100: dendrite</div>
Data and software from: Decomposition of skill scores for conditional verification – Impact of AMO phases on the predictability of decadal temperature forecasts
<p>Data and software from "Decomposition of skill scores for conditional verification – Impact of AMO phases on the predictability of decadal temperature forecasts"</p> <ul> <li>synthetic data and score computation routine</li> <li>data from MiKlip decadal prediction systems preop-dcpp-HR, preop-LR and observational HadCRUT4 data used for the conditional verification</li> <li>AMO calculation routine</li> <li>AMO data and phases defining the ocean state used in the conditional verification</li> </ul> <p>The computation routines from the conditional verification of decadal predcition systems is publicly available as the Freva plug-in "ProblEMS" at <a href="https://doi.org/10.5281/zenodo.10469658">https://doi.org/10.5281/zenodo.10469658</a></p> <p> </p>
A case study on the impact of interplanetary coronal mass ejection on the Martian O(1S) 557.7 nm dayglow emission using ExoMars TGO/NOMAD-UVIS observations: First Results
<p>This study presents the impact of interplanetary coronal mass ejection (ICME) on the O(1S) 557.7 nm dayglow emission in the Martian atmosphere using instruments onboard ExoMars-TGO and MAVEN spacecrafts.</p>
Chemical perturbations impacting histone acetylation regulate colorectal cancer differentiation
<p>M60.count.Rdata: Rdata that includes the raw count, scaled CPM value and meta data of each sample. (Fig. 1 & 4)</p> <p>DAP.merged.Log2FC.csv: integrated DiffBind results that shows the log2FC and P-value/FDR of peaks. (Fig. 1 & 4)</p> <p>rawdata_scRNA-seq.zip: raw count data of scRNA-seq data from cellranger (labels: A: DMSO, B: MRK60, D: MRK60 + JQAD1). (Fig. 5)</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.