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4,669 results for “Environment;”
Ambient and nitrogen environment friction data for various materials and surface treatments for space applications
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Dataset for: Water, environment, and socioeconomic justice in California: A multi-benefit cropland repurposing framework
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Impacts of life satisfaction, job satisfaction and Big Five personality traits on satisfaction with the indoor environment in Singapore
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Environment and geography drive diversification within the Amazon tree, Protium subserratum
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Data from: Genome-wide epigenetic isolation by environment in a widespread Anolis lizard
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Behavioral research of environment and air pollution through education (BREATHE) study data
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Data from: Natural language processing systems for pathology parsing in limited data environments with uncertainty estimation
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Population-specific vulnerability to ocean change in a multi-stressor environment
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Massachusetts Department of Environment Protection (MADEP): lake water chemistry , 2005-2010
This database contains anion, nutrient, and secchi data collected by MA DEP for assessment of water quality in MA lakes. Data spans 2005-2010. The ultimate goal of the MassDEP is to implement a comprehensive monitoring program (status/assessment, trends and flows, and targeted) that serves all water quality management needs, and addresses streams, rivers, lakes, reservoirs, estuaries, coastal areas, wetlands, and groundwater. The five-year rotating watershed assessment program is currently the primary means of meeting the CWA objective related to assessing the status of designated uses. Requirements for the monitoring program designed to support watershed assessments, reflecting CWA mandates, are that it be statewide in scale, comprehensive (all water bodies in the Commonwealth are assessed), and repeated at regular intervals. Water quality surveys generally consist of five sampling events interspersed throughout the water recreation season for conventional water quality analyses such as pH, dissolved oxygen, suspended and total dissolved solids, nutrients, and fecal coliform bacteria.
Scorpions in urban environments in the Central Arizona-Phoenix area: site locations
Determination of what degree of human modification influences the frequency of scorpion stings by looking at the number of scorpion stings in different zip code areas of the Phoenix metropolitan area. Results from this study may be useful in making recommendations on land development so scorpion stings are minimal.
Scorpion stings in urban environments in the central Arizona-Phoenix area: 1996-1997
Determination of what degree of human modification influences the frequency of scorpion stings by looking at the number of scorpion stings in different zip code areas of the Phoenix metropolitan area. Results from this study may be useful in making recommendations on land development so scorpion stings are minimal.
Heat Death Associations with the built environment, social vulnerability and their interactions with rising temperature
The occurrence of extreme heat events in the American Southwest are expected to become more frequent and severe and it is more important to understand which neighborhoods and populations are at risk of negative heat-health outcomes. Vulnerability to heat is a function of its heat exposure, population characteristics, and adaptive capacity. This study focuses on underlying socioeconomic and demographic characteristics that contribute to this vulnerability. The contributions of these factors to heat mortality in Maricopa County, AZ were explored and used to identify areas where vulnerable populations exist.
Innovation and Active Aging in digital environment dataset
<p>Dataset corresponding to a 785 cases from Madrid province, a representative sample of people from 65 to 80 years old made by telephone survey during March, 2019.</p> <p>Please, use v2. Fixed typos and errors</p> <p>Research Project funded by UCM-Santander grant (PR26/16-8B)</p> <p> </p>
Agri-environment schemes enhance pollinator richness and abundance but bumblebee reproduction depends on field size
<p>Insect-pollinated plant<strong> </strong>and pollinator data supporting the results reported in the article Geppert et al. (2020).</p>
Data from: Demographic history and genomic diversity and divergence in blue tit populations across heterogeneous environments
<p>Understanding the genomic processes underlying local adaptation is a central aim of modern evolutionary biology. This task requires identifying footprints of local selection but also estimating spatio-temporal variation in population demography and variation in recombination rate and diversity along the genome. Here, we investigated these parameters in blue tit populations inhabiting deciduous <i>versus</i> evergreen forests and insular <i>versus</i> mainland areas, in the context of a previously described strong phenotypic differentiation. Neighboring population pairs of deciduous and evergreen habitats were weakly genetically differentiated (<i>F</i><sub>ST</sub> = 0.004 on average), nevertheless with a statistically significant effect of habitat type on the overall genetic structure. This low differentiation was consistent with the strong and long-lasting gene flow between populations, inferred by demographic modeling. In turn, insular and mainland populations were moderately differentiated (<i>F</i><sub>ST</sub> = 0.08 on average), in line with the inference of moderate ancestral migrations, followed by isolation since the end of the last glaciation. Effective population sizes were overall large, yet smaller on the island than on the mainland. Weak and non-parallel footprints of divergent selection between deciduous and evergreen populations were consistent with their high connectivity and the probable polygenic nature of local adaptation in these habitats. In turn, stronger footprints of divergent selection were identified between long isolated insular <i>versus</i> mainland birds, and were more often found in regions of low recombination as expected from theory. Lastly, we identified a genomic inversion on the mainland, spanning 2.8Mb. These results provide insights into the demographic history and genetic architecture of local adaptation in blue tit populations at multiple geographic scales.</p>
Execution Environment Information
<p>Output generated by the <code>collect_environment.sh</code> script available at <a href="https://github.com/SC-Tech-Program/Author-Kit">https://github.com/SC-Tech-Program/Author-Kit</a>.</p>
Data from: Climate and local environment structure asynchrony and the stability of primary production in grasslands
<p><b>Aim</b>: Climate variability threatens to destabilize production in many ecosystems. Asynchronous species dynamics may buffer against such variability when decreased performance by some species is offset by increased performance of others. However, high climatic variability can eliminate species through stochastic extinctions or cause similar stress responses among species, reducing buffering. Local conditions, such as soil nutrients, can further alter production stability directly or by influencing asynchrony. We test these hypotheses using a globally distributed sampling experiment.</p> <p><b>Location</b>: Grasslands in North America, Europe and Australia.</p> <p><b>Time period</b>: Annual surveys over five-year intervals occurring between 2007 and 2014.</p> <p><b>Major taxa studied</b>: Herbaceous plants.</p> <p><b>Methods</b>: We annually sampled per-species cover and aboveground community biomass (net primary productivity; NPP), plus soil chemical properties, in twenty-nine grasslands. We tested how soil conditions, combined with precipitation and temperature variability, affect species richness, asynchrony and temporal stability of primary productivity. We used bivariate relationships and structural equation modeling to examine proximate and ultimate relationships.</p> <p><b>Results</b>: Climate variability strongly predicted asynchrony, whereas NPP stability was more related to soil conditions. Species richness was structured by both climate variability and soils, and in turn increased asynchrony. Temperature and precipitation variability caused a unimodal asynchrony response, with asynchrony lowest at low and high climate variability. Climate impacted stability indirectly through its effect on asynchrony, with stability increasing at higher asynchrony due to lower inter-annual NPP variability. Soil conditions had no detectable effect on asynchrony but increased stability by increasing mean NPP, especially when soil organic matter was high.</p> <p><b>Main Conclusions</b>: We found globally consistent evidence that climate modulates species asynchrony, but that the direct effect on stability is low relative to local soil conditions. Nonetheless, our observed unimodal responses to temperature and precipitation variability suggest asynchrony thresholds, beyond which there are detectable destabilizing impacts of climate on primary productivity.</p>
Data from: Different genetic basis for ADH activity and plasticity in a novel alcohol environment for Drosophila melanogaster
Phenotypic plasticity is known to enhance population persistence (Wang and Althoff, 2019), facilitate adaptive evolution (Levis et al., 2018), and initiate novel phenotypes in novel environments (Levis and Pfennig, 2016). How plasticity can contribute or hinder adaptation to different environments hinges on its genetic architecture. Even though plasticity in many traits is genetically controlled, whether and how plasticity's genetic architecture might change in novel environments is still unclear. Because much of gene expression can be environmentally influenced, each environment may trigger different sets of genes that influence a trait. Using a quantitative trait loci (QTL) approach, we investigated the genetic basis of plasticity in a classic functional trait, alcohol dehydrogenase (ADH) activity in D. melanogaster, across both historical and novel alcohol environments. Previous research in D. melanogaster has also demonstrated that ADH activity is plastic in response to alcohol concentration in substrates used by both adult flies and larvae. We found that across all environments tested, ADH activity was largely influenced by a single QTL encompassing the Adh coding gene and its known regulatory locus, delta-1. After controlling for the allelic variation of the Adh and delta-1 loci, we found additional but different minor QTLs in the 0% and 14% alcohol environments. In contrast, we discovered no major QTL for plasticity itself, including the Adh locus, regardless of the environmental gradients. This suggests that plasticity in ADH activity is likely influenced by many loci with small effects and that the Adh locus is not environmentally sensitive to dietary alcohol.
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition
<p>As one of the research directions at <a href="https://ghassanalregib.info/">OLIVES Lab @ Georgia Tech</a>, we focus on the robustness of data-driven algorithms under diverse challenging conditions where trained models can possibly be depolyed. To achieve this goal, we introduced a large-sacle (>2M images) traffic sign recognition dataset (<a href="https://github.com/olivesgatech/CURE-TSR">CURE-TSR</a>) which is among the most comprehensive datasets with controlled synthetic challenging conditions. Traffic sign images in the <a href="https://github.com/olivesgatech/CURE-TSR">CURE-TSR</a> dataset were cropped from the <a href="https://github.com/olivesgatech/CURE-TSD">CURE-TSD</a> dataset, which includes around 1.7 million real-world and simulator images with more than 2 million traffic sign instances. Real-world images were obtained from the BelgiumTS video sequences and simulated images were generated with the Unreal Engine 4 game development tool. Sign types include speed limit, goods vehicles, no overtaking, no stopping, no parking, stop, bicycle, hump, no left, no right, priority to, no entry, yield, and parking. Unreal and real sequences were processed with state-of-the-art visual effect software Adobe(c) After Effects to simulate challenging conditions, which include rain, snow, haze, shadow, darkness, brightness, blurriness, dirtiness, colorlessness, sensor and codec errors. Please refer to our <a href="https://github.com/olivesgatech/CURE-TSR">GitHub page</a> for code, papers, and more information.</p> <p>Instructions: </p> <p>The name format of the provided images are as follows: "sequenceType_signType_challengeType_challengeLevel_Index.bmp"</p> <ul> <li> <p>sequenceType: 01 - Real data 02 - Unreal data</p> </li> <li> <p>signType: 01 - speed_limit 02 - goods_vehicles 03 - no_overtaking 04 - no_stopping 05 - no_parking 06 - stop 07 - bicycle 08 - hump 09 - no_left 10 - no_right 11 - priority_to 12 - no_entry 13 - yield 14 - parking</p> </li> <li> <p>challengeType: 00 - No challenge 01 - Decolorization 02 - Lens blur 03 - Codec error 04 - Darkening 05 - Dirty lens 06 - Exposure 07 - Gaussian blur 08 - Noise 09 - Rain 10 - Shadow 11 - Snow 12 - Haze</p> </li> <li> <p>challengeLevel: A number in between [01-05] where 01 is the least severe and 05 is the most severe challenge.</p> </li> <li> <p>Index: A number shows different instances of traffic signs in the same conditions.</p> </li> </ul>
Figure 6.5 in Taphonomy and environment of deposition of a juvenile tyrannosaurid skeleton from the Hell Creek Formation (latest Maastridhtian) of southeastern Montana
Figure 6.5. Leaves of Pistia corrugata from the laminated siltstones above the tyrannosaurbearing unit.
ScienceDex guides
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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.