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18 results for “Environmental properties”
Multiscale continuum figures from Tratnyek et al. (2017) "In silico environmental chemical science: Properties and processes from statistical and computational modelling"
<p>Accessible versions of selected figures from Tratnyek et al. (2017) "In silico environmental chemical science: Properties and processes from statistical and computational modelling" Environ. Sci. Processes Impacts 19(3): 188-202. DOI: 10.1039/C7EM00053G.</p> <p>The Abstract Art figure shows a classification of variables for predictive/diagnostic models used in silico environmental chemical science, in terms of system scales and variable types. Figure 3 shows a continuum of system scales encompassing the whole scope of predictive/diagnostic modelling for in silico environmental chemical sciences, juxtaposing earth and biological scales.</p> <p>The published version of Figure 3 is tall, for two-column page-layouts, but a wide version of Figure 3 is provided for landscape oriented formats. The 300 dpi versions of each figure should be adequate resolution for most purposes, and therefore are recommended. The large versions of the figures may take significant time to download, but may be useful for high resolution applications.</p> <p>This work is from the perspectives/review paper at the beginning of a themed issue on "Quantitative Structure-Activity Relationships (QSARs) and Computational Chemistry Methods in the Environmental Chemical Sciences", published in the March 2017 issue of the Royal Society of Chemistry journal Environmental Sciences: Process and Impacts. The whole collection of papers can be accessed at rsc.li/qsars.</p>
Manufacturing of Hybrid Overmoulded FRP Components: Impact of Process and Environmental Parameters on the Mechanical Properties
<p>A manufacturing parametric study was carried out on a hybrid part, consisting of two organo sheets and injection moulded rib reinforcements, made out of a short fibre reinforced plastic. The effect of the temperature of all components, the pressure profile throughout the injection moulding process as well as the subsequent storage conditions on the mechanical properties was investigated. For this purpose a total of 96 parts was manufactured with different processing parameter combinations. Afterwards all parts were subjected to a cantilever beam test, analysing initial stiffness, deformation work and peak force. Furthermore a variety of potentially influencing factors such as temperature, humidity, order of testing, transfer durations and many more were tracked.</p> <p>Parameter definition:</p> <ul> <li><strong>part_ID</strong>: Unique part identifier.</li> <li><strong>OS-degradation</strong>: Degradation of the organo-sheet(OS) because of thermal decomposition at temperatures above 260°C. Given as percentage of degraded mass.</li> <li><strong>heating-duration</strong>: Time of heating the OS in seconds.</li> <li><strong>heating_temperature-OS</strong>: Surface temperature of the OS at the end of the heating period in °C.</li> <li><strong>heating_field-temp.</strong>: Temperature of the heating field immediately before the heating process begins in °C.</li> <li><strong>stiffness</strong>: Bending stiffness of the structure in N/mm. Determined from the force-deflection-curve between 50 and 150 N.</li> <li><strong>maximum_force</strong>: Highest force value measured during the cantilever beam test in kN.</li> <li><strong>deflection</strong>: Value corresponding to the maximum force in mm.</li> <li><strong>deformation_work</strong>: Absorbed work due to deformation in kN*mm. Determined by integrating the force-deflection-curve from 5 to 30 mm with a lower bound of 0.05 kN on the force.</li> <li><strong>corrected-x</strong>: Value of x corrected by taking into account the water intake.</li> <li><strong>rib_lengths-x</strong>: Length of the rib in mm (1à5<sup>th</sup>, 2à7<sup>th</sup> , 3à10<sup>th</sup>).</li> <li><strong>sprue_width</strong>: Diameter of the sprue in mm.</li> <li><strong>part_length</strong>: Total part length in mm.</li> <li><strong>mould_filled-x</strong>: Flag indicating whether the mould was filled (indicated by 1) at position x (1àbroad end, 2àmid, 3ànarrow end)</li> <li><strong>rib_length</strong>: Mean of the measured rib lengths in mm.</li> <li><strong>mould_filled</strong>: Mean of the flags for fill state.</li> <li><strong>day_of_testing</strong>: Day on which the part was tested (1,2,3).</li> <li><strong>no._of_test_per_day</strong>: Number of test on the respective day.</li> <li><strong>no._of_test_total</strong>: Number of tests in total.</li> <li><strong>delay_of_transfer</strong>: Duration between removal of the OS from the heating field and begin of the transfer in s.</li> <li><strong>transfer_temp_beg.-x</strong>: Surface temperature in °C of the OS at the beginning of the transfer at position x.</li> <li><strong>transfer_temp_end-x</strong>: Surface temperature in °C of the OS at the end of the transfer at position x.</li> <li><strong>tool_surface_temp.-x</strong>: Surface temperature in °C of the tool at position x.</li> <li><strong>fixing-x</strong>: Flag indicating whether the OS was fixed (indicated by 1) at position x (1àbroad end, 2àmid, 3ànarrow end).</li> <li><strong>fixing</strong>: Mean of the flags for fixing.</li> <li><strong>duration-rapid_traverse</strong>: Duration of the rapid motion phase of the press in s.</li> <li><strong>duration-deformation</strong>: Duration of the motion phase of the press deforming the OS in s.</li> <li><strong>press_profile</strong>: ID for translational velocity of the press (0àslow, 1àfast).</li> <li><strong>duration-closing</strong>: Sum of duration-rapid_traverse and duration-deformation.</li> <li><strong>duration-injection</strong>: Duration of the pure injection process in s.</li> <li><strong>duration-holding_pressure</strong>: Time for which the holding pressure was kept up in s.</li> <li><strong>temp.-cylinder-x</strong>: Mean of the temperature over one cycle at one heating band in °C.</li> <li><strong>temp-hot_runner-x</strong>: Mean of the temperature over one cycle at one heating element in the hot runner in °C.</li> <li><strong>temp.-defl._tool-x</strong>: Mean of the temperature over one cycle in the deflection tool at position x.</li> <li><strong>delay-injection</strong>: Time between the press fully closing and the beginning of injection in s.</li> <li><strong>holding_pressure-beg.-x</strong>: Holding pressure at the beginning of holding and position x in bar.</li> <li><strong>holding_pressure-end-x</strong>: Holding pressure at the ned of holding and position x in bar.</li> <li><strong>duration-form_stability-x</strong>: Time in s between maximum melt pressure and form stability, characterised by a pressure below 75 bar.</li> <li><strong>max.-pressure-melt-x</strong>: Maximum pressure during the injection process at position x in bar.</li> <li><strong>transmission-hold._press.-beg.</strong>: Ratio of pressure signal from the sensor at screw and in tool at beginning of holding.</li> <li><strong>transmission-hold._press.-end</strong>: Ratio of pressure signal from the sensor at screw and in tool at end of holding.</li> <li><strong>cooling_rate-hold._press.-x</strong>: Measured cooling rate at position x during the holding phase in °C/s.</li> <li><strong>cooling_rate-cooling-x</strong>: Measured cooling rate at position x during the cooling phase in °C/s.</li> <li><strong>tool-temp.-x</strong>: Measured tool temperature at position x in °C.</li> <li><strong>max.-melt-temp-x</strong>: Highest measured melt temperature at position x in °C.</li> <li><strong>demoulding-temp.-x</strong>: Measured tool temperature at position x at demoulding in °C.</li> <li><strong>storage-standard_atmosphere</strong>: Storage duration at standard atmosphere in h.</li> <li><strong>absoprtion_water-std.atm.</strong>: Water absorption during the storage at standard atmosphere in g.</li> <li><strong>absoprtion_water-climate_chamber.</strong>: Water absorption during the storage in the climate chamber in g.</li> <li><strong>storage-climate_chamber</strong>: Storage duration in climate chamber in h.</li> <li><strong>vert._position-climate_chamber</strong>: Vertical position in the climate chamber in cm.</li> <li><strong>air-temp.</strong>: Air temperature during manufacturing in °C.</li> <li><strong>air-rel._humidity</strong>: Relative humidity during manufacturing in %.</li> <li><strong>no.-production-day</strong>: Consecutive number indicating parts manufactured before the respective part.</li> <li><strong>factor_level</strong>: Factor level in the DOE.</li> <li><strong>prod.-date</strong>: Date of production.</li> <li><strong>prod-time</strong>: Time of production in CEST.</li> <li><strong>batch_number</strong>: ID in which batch the part was manufactured.</li> </ul>
Data from: Anuran call properties as reliable indicators of environmental suitability for reproduction
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Continuous Forest Inventory (CFI), 1970-2017, Long-term Forest Property Monitoring by State University of New York College of Environmental Science and Forestry, New York, USA
SUNY College of Environmental Science and Forestry (ESF) based in Syracuse, New York, maintains a series of Continuous Forest Inventory (CFI) permanent plots on their Forest Properties. ESF has over 700 CFI plots located on 5 different properties, four properties in the Adirondack Mountains of northern New York and one property south of Syracuse. Plots cover northern hardwood species including sugar maple, red maple, yellow birch, beech, white ash, red oak, white pine, hemlock, red spruce, and pine/softwood plantations of various species. Data is collected at ten year intervals on each property starting from initial plot establishment. Plot information collected includes: location information, slope, aspect, forest type, cutting history, and photo of plot. Tree information/measurements include (in general, trees greater than 3.6 inches diameter at breast height): tree tag number, species, tree history, diameter at breast height, sawlog height, bole height, total height, crown vigor, crown class, tree location, and tree notes. Data is collected/field checked/edited according to detailed written procedures by ESF professional staff with assistance of students. Data is collected to monitor general forest health, growth rates, mortality, and overall forest metrics. Data is used to calculate standing volumes, stocking of forest trees, carbon stocking in addition to other information. ESF Forest Properties with CFI plots:
Exploration of the influence of environmental conditions on secondary organic aerosol formation and organic species properties using explicit simulations: development of the VBS-GECKO parameterization [Dataset]
<p>This dataset is composed of simulation outputs of the GECKO-A model that were used to optimize the VBS-GECKO SOA parameterization as described in the study :<br> <br> Lannuque, V., Camredon, M., Couvidat, F., Hodzic, A., Valorso, R., Madronich, S., Bessagnet, B., and Aumont, B.: Exploration of the influence of environmental conditions on secondary organic aerosol formation and organic species properties using explicit simulations: development of the VBS-GECKO parameterization, Atmos. Chem. Phys., https://doi.org/10.5194/acp-18-1-2018, 2018.<br> <br> <strong>Please cite the original ACP article when using these data in a publication.</strong></p> <p><br> The paper also contains more information about how these data were obtained.<br> <br> The "readme.txt" file gives quick explanations on how the dataset is formatted and how to read the different files that compose it.<br> <br> Victor Lannuque</p>
Figure 4 in Community properties of benthic molluscs as indicators of environmental stress induced by organic enrichment
Figure 4. MDS plots of Functional Feeding Groups (FFG) where mean abundance of each group is superimposed.
Figure 3 in Community properties of benthic molluscs as indicators of environmental stress induced by organic enrichment
Figure 3. MDS plot (a) and cluster analysis (b) of species abundances highlighting three main groups of areas.
Figure 2 in Community properties of benthic molluscs as indicators of environmental stress induced by organic enrichment
Figure 2. Probability funnels of diversity indices Δ+ (a) and Λ+ (b) for all sampling stations and seasons in the study area.
Figure 1. A in Community properties of benthic molluscs as indicators of environmental stress induced by organic enrichment
Figure 1. A map of the island of Lesvos indicating Gera Gulf, the study area (Palioloutro) where the fish farm unit is located and the sampling sites.
Database of the mechanical properties of FRP composites subjected to different environmental effects
<p>The database is established by collecting FRP aging test data from various published literature, with a uniform record format to ensure consistency. The database comprises two main categories: accelerated aging and natural aging. The recorded accelerated aging data were further sorted into five types: water immersion aging, alkaline solution aging, acidic solution aging, high-temperature aging, and ultraviolet radiation aging. </p>
An Interpretable 3D Multi-Hierarchical Molecular Hybrid Representation for Environmental, Health, and Safety Properties Prediction
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An Interpretable 3D Multi-Hierarchical Molecular Hybrid Representation for Environmental, Health, and Safety Properties Prediction
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Supplementary data for the publication entitled "Second life for recycled concrete and other construction and demolition waste in mortars for masonry: full scope of material properties, performance, and environmental aspects"
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Small noncoding RNA profiles and sperm nuclear basic protein properties in semen of young men living in a high environmental impact area
GEO Series GSE237651. Homo sapiens. 32 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Figure 5 in Community properties of benthic molluscs as indicators of environmental stress induced by organic enrichment
Figure 5. MDS plots of Zoogeographical Categories Groups (ZCG) where mean abundance of each group is superimposed.
Figure 6 in Community properties of benthic molluscs as indicators of environmental stress induced by organic enrichment
Figure 6. Effect of increasing organic load on trophic net structure.
Pigments and environmental properties dataset of the austral spring/summer of 2015/2016
<p>Pigments and environmental properties dataset of the austral spring/summer of 2015/2016 along the Northern Antarctic Peninsula, performed during three (November, January and February) oceanographic cruises conducted on board the<em> RV Almirante Maximiano</em> of the Brazilian Navy. </p>
The dataset of raindrop size distribution and environmental properties during summer 2014 and 2015 in East China
<p>This dataset is used to make figures for the paper entitled “Observational Evidence of the Environmental Impacts on Raindrop Size Distribution in East China” submitted to Geophysical Research Letters in June 2022. It contains the disdrometer and automatic weather station observations in minute, hourly, daily scales, and also the training and testing samples for machine learning.</p>
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Allen Brain Atlas
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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.