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Fig 2 in Monitoring and assessing the physico-chemical water properties and planktonic communities in tilapia nursing pond

Fig 2: Percentages of different phytoplankton communities during the study period (a, b c, are indicating the size category as small, medium and large)

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Fig 1 in Monitoring and assessing the physico-chemical water properties and planktonic communities in tilapia nursing pond

Fig 1: Percentages of total phytoplankton and total zooplankton in all size categorized pond during the sampling period

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Composition-based estimates of the thermal properties of New Zealand basement rocks: data used for calculations and figures

This archive contains four files with compositional data (mineralogical and geochemical) used to estimate thermal conductivity and heat production in New Zealand basement terranes (Kirkby et al., 2024). HPR_source_data.csv - contains K, Th, and U concentrations and calculated heat production rates. Longitude - longitude (New Zealand Geodetic Datum) Latitude - latitude(New Zealand Geodetic Datum) K_wtpct - K concentration in weight percent Th_ppm - Th concentration in ppm U_ppm - U concentration in ppm Heat_production_uW/m3 - heat production calculated from K, Th and U concentrations, in microWatts per meter cubed Terrane - name of basement terrane that sample has been assigned to Source - source of data, either PetLAB (Strong et al. 2016), PMAP (Turnbull ref) or separate compilation for this study Reference - Reference citation for data as listed in PetLAB/PMAP or added for this study   TC_from_majors_PMAP.csv - contains thermal conductivity estimated from major element geochemistry (Kirkby et al., 2024) using method of, Jennings et al. (2019). Columns are as follows: Collection - collection that sample is contained in within the PetLAB database (Strong et al., 2016) Collection_Number - sample number within the collection above Sample_ID - unique sample ID in PetLAB Analysis_ID - unique analysis ID in PetLAB Longitude - longitude (New Zealand Geodetic Datum) Latitude - latitude(New Zealand Geodetic Datum) **_wtpct - major oxide concentration in weight percent (normalised to non-volatile component) Terrane - name of basement terrane that sample has been assigned to Analysis_Method - analysis method for major oxide concentrations Thermal_conductivity_pred - calculated estimate of thermal conductivity based on major oxide composition, W/mK Bib_ref - analysis source reference, direct copy of Bib_ref field in PetLAB Reference - analysis source reference, direct copy of Reference field in PetLAB TC_from_modal_mineralogy.csv - contains thermal conductivity estimated from modal mineralogy (Kirkby et al., 2024). Columns are as follows: Longitude - longitude (New Zealand Geodetic Datum) Latitude - latitude(New Zealand Geodetic Datum) Analysis_ID - unique analysis ID in PetLAB Collection - collection that sample is contained in within the PetLAB database (Strong et al., 2016) Collection_ID - sample number within the collection above Subsample - in the case of thermal conductivity, sometimes two samples were measured. This column distinguishes the two measurements Mineralogy_method - method of determining mineralogy, either point count or QEMSCAN Quartz - percentage of quartz in sample Olivine - percentage of olivine in sample Pyroxene - percentage of pyroxene in sample Other - percentage of other minerals in sample Thermal_conductivity_grain_pred - estimated thermal conductivity (W/mK) from mineralogy (Kirkby et al, 2024), W/mK Thermal_conductivity_dry_measured - measured dry thermal conductivity (W/mK) for samples reported by Sanders et al (2024), W/mK Porosity_measured_pct - measured porosity (percent) for samples reported by Sanders et al (2024) Thermal_conductivity_grain_measured - grain thermal conductivity (W/mK) calculated from measured dry thermal conductivity and porosity Terrane - name of basement terrane that sample has been assigned to Bib_ref - analysis source reference, direct copy of Bib_ref field in PetLAB Reference - analysis source reference, direct copy of Reference field in PetLAB TC_from_normative_mineralogy.csv Longitude - longitude (New Zealand Geodetic Datum) Latitude - latitude(New Zealand Geodetic Datum) Analysis_ID - unique analysis ID in PetLAB Collection - collection that sample is contained in within the PetLAB database (Strong et al., 2016) Collection_ID - sample number within the collection above Mineralogy_method - method of determining mineralogy, either Mesonorm or CIPWnormhb (CIPW norm with hornblende) Quartz - percentage of quartz in sample Olivine - percentage of olivine in sample Pyroxene - percentage of pyroxene in sample Other - percentage of other minerals in sample Thermal_conductivity_grain_pred - estimated thermal conductivity (W/mK) from mineralogy (Kirkby et al, 2024) Thermal_conductivity_dry_measured - measured dry thermal conductivity (W/mK) for samples reported by Sagar et al (2022) Porosity_measured_pct - measured porosity (percent) for samples reported by Sagar et al (2024) Thermal_conductivity_grain_measured - grain thermal conductivity (W/mK) calculated from measured dry thermal conductivity and porosity Terrane - name of basement terrane that sample has been assigned to Bib_ref - analysis source reference, direct copy of Bib_ref field in PetLAB Reference - analysis source reference, direct copy of Reference field in PetLAB   tc_by_terrane.csv Contains thermal conductivity, standard deviation, and standard error of thermal conductivity estimates by terrane as shown in Figure 7 of Kirkby et al (2024)   hpr_by_terrane.csv Contains thermal conductivity, standard deviation, and standard error of thermal conductivity estimates by terrane as shown in Figure 7 of Kirkby et al (2024).   References Jennings, S., Hasterok, D., & Payne, J. (2019). A new compositionally based thermal conductivity model for plutonic rocks. Geophysical Journal International, 219(2), 1377-1394. https://doi.org/10.1093/gji/ggz376 Kirkby, A., N. Mortimer, R. Funnell, M. Sagar, A. Seward, K. Faure and F. Sanders (2024). Composition-based estimates of the thermal properties of New Zealand basement rocks, New Zealand Journal of Geology and Geophysics. Sagar, M. W., Funnell, R., Randell, K., Faure, K., Seward, A., Sanders, F., & Stratford, W. R. (2022). Physical properties of Te Riu-a-Māui / Zealandia crustal rocks: Reconnaissance study and future research.  (GNS Science Internal Report 2022/05.  Sanders, F., Seward, A., Sagar, M., & Faure, K. (2024). Thermal Properties of Zealandia Basement Rocks: results of Thermal Conductivity Scanner measurements 2023.  Lower Hutt. (GNS Science Report.  Strong, D. T., Turnbull, R. E., Haubrock, S., & Mortimer, N. (2016). Petlab: New Zealand’s national rock catalogue and geoanalytical database. New Zealand Journal of Geology and Geophysics, 59(3), 475-481. https://doi.org/10.1080/00288306.2016.1157086

Fig. 2 in ON THE VECTOR PROPERTIES OF HENOSEPILACHNA VIGINTIOCTOMACULATA MOTSCHULSKY, 1858 (COLEOPTERA: COCCINELLIDAE) IN THE TRANSMISSION OF POTATO VIRUSES

Fig. 2. Chemo-orientation of healthy Henosepilachna vigintioctomaculata. 1 – % of healthy insects on leaves of healthy plants; 2 – % of healthy insects on potato leaves infected with plant viruses (PVY, PVM, PVX, PVS, PLRV, PSTVd); healthy insects – H. vigintioctomaculata with no potato viruses detected in their bodies; healthy plants – the potato leaves that were not infected with any plant virus; infected plants – the potato leaves that were infected with one or several plant viruses (PVY, PVM, PVX, PVS, PLRV, and PSTVd).

Fig. 1 in ON THE VECTOR PROPERTIES OF HENOSEPILACHNA VIGINTIOCTOMACULATA MOTSCHULSKY, 1858 (COLEOPTERA: COCCINELLIDAE) IN THE TRANSMISSION OF POTATO VIRUSES

Fig. 1. Chemo-orientation of Henosepilachna vigintioctomaculata. Reduction: 1 – % of healthy insects on leaves of healthy plants; 2 – % of infected insects on leaves of healthy plants; 3 – % of healthy insects on potato leaves infected with plant viruses (PVY, PVM, PVX, PVS, PLRV, PSTVd); 4 – % of infected insects on potato leaves infected with plant virus (PVY, PVM, PVX, PVS, PLRV, PSTVd); healthy insects – H. vigintioctomaculata with no potato viruses detected in their bodies; infected insects – H. vigintioctomaculata with certain potato viruses detected in their bodies (PVY, PVM, PVX, PVS, PLRV, and PSTVd); healthy plants – the potato leaves that were not infected with any plant virus; infected plants – the potato leaves that were infected with one or several plant viruses (PVY, PVM, PVX, PVS, PLRV, and PSTVd). 19

Fig. 3 in ON THE VECTOR PROPERTIES OF HENOSEPILACHNA VIGINTIOCTOMACULATA MOTSCHULSKY, 1858 (COLEOPTERA: COCCINELLIDAE) IN THE TRANSMISSION OF POTATO VIRUSES

Fig. 3. Chemo-orientation of infected Henosepilachna vigintioctomaculata. Reduction: 1 – % of infected insects on leaves of healthy plants; 2 – % of infected insects on potato leaves infected with plant virus (PVY, PVM, PVX, PVS, PLRV, PSTVd); infected insects – H. vigintioctomaculata with certain potato viruses detected in their bodies (PVY, PVM, PVX, PVS, PLRV, and PSTVd); healthy plants – the potato leaves that were not infected with any plant virus; infected plants – the potato leaves that were infected with one or several plant viruses (PVY, PVM, PVX, PVS, PLRV, and PSTVd).

Dataset for: Adapting Explainable Machine Learning to Study Mechanical Properties of Two-Dimensional Hybrid Halide Perovskites

This archive contains the in plane and out of plane Young's moduli (complete with respective VASP in and outputs) for 154 n=1 and 30 n>1 2D  hybrid organic and inorganic perovskites. The data was used in the publication "Adapting Explainable Machine Learning to Study Mechanical Properties of Two-Dimensional Hybrid Halide Perovskites". Computational settings for the calculations were: Perdew-Burke-Ernzerhof (PBE) exchange-correlation with Tkatchenko-Scheffler (TS) van der Waals (vdW) corrections Projector augmented-wave (PAW) method for the description of interactions between core and valence electrons. A plane wave cutoff energy of 520 eV A Γ-centered Monkhorst-Pack k-point mesh with a grid spacing of 2π × 0.040 Å−1 Geometry optimizations were performed until energy and residual forces fell below 10−6 eV and 0.001 eV/ Å, respectively.

Fig. 10 in Virtual 3D modeling of the ammonoid conch to study its hydrostatic properties

Fig. 10. Model showing the shell orientation (φ) attained during neutral buoyancy for Maorites seymourianus models. White circle, center of buoyancy; asterisk, center of mass.

Fig. 9. A in Virtual 3D modeling of the ammonoid conch to study its hydrostatic properties

Fig. 9. A. Comparison of the model geometry for Maorites seymourianus defined by the Equation 3, and the closest logarithmic spiral (dotted line) found for these data (radius r = 88.97e-0.12Θ, determination coefficient R2 = 0.988). B. Close up of the initial whorls showing the slow increase in growth rate at the beginning of the ontogeny. The arrows indicate the differences in growth between the polynomial curve (solid arrows) and the logarithmic curve (dashed arrows).

Fig. 7 in Virtual 3D modeling of the ammonoid conch to study its hydrostatic properties

Fig. 7. The final simplified model of the conch of Maorites seymourianus. A. External elements of the conch in lateral view, the smooth areas emulate rectiradiate constrictions; the phragmocone in dark gray, the body chamber in grey. B. Internal elements within the phragmocone; the siphuncle in black, the septa in grey.

Fig. 3 in Virtual 3D modeling of the ammonoid conch to study its hydrostatic properties

Fig. 3. Example of the alignment process using only two specimens. Here it is graphed the radius against the angle showing the curves that describe the geometry of two specimens of Maorites seymourianus. A. The geometry of CPBA 16847 (reference) is defined by a function r = h(Θ) and its domain is [0 rad; 19.90 rad] in black (solid line), the geometry of CPBA 16838 is defined by a function r = i(Θ) and its domain is [0 rad; 20.42 rad] in grey. The normalization process consists of finding the results for an appropriate radius, in this case r = 20 mm (dotted line). Following, the difference in angle must be calculated (ΔΘ = 1.38 rad) and then the domain of the functions is adjusted accordingly. B. Curves after normalization, the difference in angle was applied to the domain of CPBA 16838, the new domain of the function is [1.38 rad; 21.80 rad]. Abbreviations: Θ, angle; r, radius.

Fig. 4 in Virtual 3D modeling of the ammonoid conch to study its hydrostatic properties

Fig. 4. Overview of the segment employed in this modeling method. A. Adoral view of the segment, the contour and measurements for this side were obtained from the CT-scan data. B. Lateral view of the segment showing the segment thickness (sgt = 10 mm). C. Adapical view of the segment. To model this side, the adoral contour was duplicated and then escalated according to the results from the equations in Table 1. Abbreviations: a, result for the angle in the adoral side for Equation (2); ah, aperture height; ad, adpical; ao, adoral; b, result for the angle in the adapical side for Equation (2); r, radius; sgt, segment thickness; wh, whorl height; ww, whorl width.

Fig. 6 in Virtual 3D modeling of the ammonoid conch to study its hydrostatic properties

Fig. 6. Illustrations showing the function of the relative offset and object offset. In this case, the object offset is a cube rotated in the y-axis. Segments are labeled in order of appearance. Note how each segment follows the transformation of the object offset. A. The relative offset has been modified to show each segment as a separate object. B. The relative offset with the correct value forming a unified structure.

Fig. 2 in Virtual 3D modeling of the ammonoid conch to study its hydrostatic properties

Fig. 2. Semi-landmarks in π/6 rad steps (30°) and the model curve of the geometry for Maorites seymourianus (CPBA 16847). The first landmark is expressed in polar coordinates (r; Θ). Abbreviations: Θ, angle; r, radius.

Fig. 5 in Virtual 3D modeling of the ammonoid conch to study its hydrostatic properties

Fig. 5. Final segment in two views showing the rectiradiate ribs and the two surfaces emulating the limits of the shell wall. The external layer in black and the internal layer in grey.

Fig. 1 in Virtual 3D modeling of the ammonoid conch to study its hydrostatic properties

Fig. 1. Kossmaticeratid ammonoid Maorites seymourianus (Kilian and Reboul, 1909) from the López de Bertodano Formation, Upper Cretaceous of Antarctica. A. CPBA 16819 (microconch), lateral (A1), ventral (A2) views, scheme of apertural view (A3). B. CPBA 16841 (macroconch) showing different preservation states between the flanks, left (B1), right (B2) views. The arrowheads indicate the beginning of the body chamber.

Protect Your Edmonton Property: Reliable Sump Pump Installation Solutions

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If you're still on the fence about whether or not a sump pump is a good investment for your home, consider these benefits. Installing a sump pump is a smart move any time of year, but especially during times of heavy rain when flooding is a real possibility. The absence of action will allow mould and mildew to flourish in these areas of standing water. Mildew and mould can degrade indoor air quality and lead to costly structural damage to your home. Finally, there are several benefits to having a sump pump in Edmonton that extend beyond just preventing basement flooding. The structural integrity and value of Edmonton real estate are greatly enhanced by sump pumps, which shield properties from water damage, mildew, and mould. Sump pumps also improve interior air quality, which is good for the health of building inhabitants. Shield Foundation Repair, Inc. has finally arrived! For more information about our sump pump solutions, please visit our website or call us at 780-760-4900. 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For the most part, when people think of a sump pump, they imagine the pump and motor as being one unit. Just as its name implies, a submersible sump pump is immersed inside the basin to save space and minimize noise. They should be completely resistant to corrosion and water, as their purpose is to endure substantial amounts of water. The submersion characteristic reduces the lifespan of these devices compared to pedestal pumps. As an added downside, they are more difficult to access for repairs or maintenance. This page lists the unit and installation costs for submersible sump pumps. It is highly recommended that you use a professional for sump pump installation rather than attempting the task on your own. A costly and inefficient ordeal awaits in the event of improper installation. Therefore, dial the number of Shield Foundation Repair Inc. immediately. 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Clearing the discharge pipe of debris and ensuring it extends away from the foundation are further steps to take to prevent water from seeping back into the basement. Last but not least, protect your home from any flood damage by having a professional inspect and service your sump pump once a year. A sump pump is a very simple piece of equipment. I can confirm that it is a pump. If your home is ever flooded, the water will inevitably find its way to the sump pump, which is located at the lowest point on your land. The sump pit is where the pump is housed; in smaller pits, it may be placed on a pedestal, and in larger ones, it may be positioned below the water line. When the water level reaches a certain point, a float switch is activated, turning on the pump. After the water level drops low enough, the pump will keep sucking it out of the area. Once in a while, to get the pump going, fill the sump pit with a bucket. Here we have a simple functionality test. Plan your maintenance. 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opencc-by-4.0Oct 2019View details →

Figure 3 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn

Figure 3. Dynamics of the soil arbuscular mycorrhizal fungal spore density within Desmodium triflorum coverage levels and seasons.

opencc-by-4.0Oct 2019View details →

Figure 6 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn

Figure 6. Conceptual framework demonstrating possible mechanisms of soil arbuscular mycorrhizal fungi (AMF) during the spreading process of Desmodium triflorum in the Zoysia tenuifolia lawn. Numbers 1, 2, 3, and 4 indicate different spreading stages of the invasive plant D. triflorum. Corresponding mycorrhizal structures were shown as the four microscopic views. Light-green and medium-yellow circles indicate AM fungal spores predominantly produced by the root mycorrhizal structures of Z. tenuifolia and D. triflorum, respectively. Medium-green and dark-yellow lines indicate the life cycle of spores in Z. tenuifolia plants and in D. triflorum plants, respectively. The AM fungi might influence the spread of D. triflorum by the following steps: (1) the early stage of the lawn's development with only Z. tenuifolia growing but without D. triflorum present. This occurs at the very beginning of the lawn establishment, and the AM fungal spores that previously existed in the lawn soil first infected the fine roots of Z. tenuifolia and completed the life cycle on their own. (2) The early spreading stage of D. triflorum (level 1). The roots of the two plants come into contact with each other, inducing the external hyphae that originally grow closely on the Z. tenuifolia roots to infect the roots of D. triflorum. The difference between the mycorrhizal infections of the two host plants contributes to higher root mycorrhizal colonizations of D. triflorum compared with Z.tenuifolia. However, at this stage,D. triflorum is not as competitive as Z. tenuifolia in the lawn, although it has advantages in terms of mycorrhizal infections. Therefore, the soil AM fungal spores are still predominantly produced by the mycorrhizal structures of the AMF-infected Z. tenuifolia roots. (3) The intermediate spreading stage of D. triflorum (levels 2 and 3). Desmodium triflorum continues to spread in the lawn. The contact of the two plants becomes more frequent and further induces a much closer relationship between the AM infections of the two plants. The increased D. triflorum plants in the lawn and the advantage of D. triflorum in root mycorrhizal infections facilitate the contribution of the mycorrhizal structures of the D. triflorum roots to sporulation. Thus, in this stage, the soil AM fungal spores were produced by the mycorrhizal structures of both plants, thereby inducing insignificant correlations between the spore densities and the root colonizations of either Z. tenuifolia or D. triflorum. (4) The late spreading stage of D. triflorum (levels 4 and 5). Desmodium triflorum is dominant in the lawn.The large numbers of D. triflorum plants and the AM infection advantage of D. triflorum facilitate AMF sporulation in the soil, thereby inducing significant correlations between the spore densities and the root colonizations of D. triflorum. At the different spreading stages of D. triflorum, the soil AM fungal communities also change as a result of the changed contributions of the AMF-infected host plants to the sporulation.