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opencc-by-4.0Mar 2023View details →

SI Figure 2: Compositional differences among bacterial microinvertebrate external and internal microbiomes as well as mats they were isolated from using Bray Curtis distance matrix visualized with a NMDS ordination. Circles indicate each community and stars show centroids of microbiome types for each animal host. All host microbiomes (internal and external) are distinct from mat communities (P<0.05), but external microbiomes are more similar to mats than internal microbiomes are to mats. in External and internal microbiomes of Antarctic nematodes are distinct, but more similar to each other than the surrounding environment

SI Figure 2: Compositional differences among bacterial microinvertebrate external and internal microbiomes as well as mats they were isolated from using Bray Curtis distance matrix visualized with a NMDS ordination. Circles indicate each community and stars show centroids of microbiome types for each animal host. All host microbiomes (internal and external) are distinct from mat communities (P<0.05), but external microbiomes are more similar to mats than internal microbiomes are to mats.

opencc-by-4.0Mar 2023View details →

SI Figure 1: Dispersion values (a boxplot using distance to centroids based on Bray Curtis distance matrix) of external and internal bacterial microbiome composition for different hosts. In a mixed linear model, microinvertebrates did not significantly impact dispersion (P=0.44), but microbiome type did (P=0.03). Pairwise contrasts show that while external microbiomes of P. murrayi and Tardigrada are more variable than their internal microbiomes, E. antarcticus external and internal microbiomes are equally variable. in External and internal microbiomes of Antarctic nematodes are distinct, but more similar to each other than the surrounding environment

SI Figure 1: Dispersion values (a boxplot using distance to centroids based on Bray Curtis distance matrix) of external and internal bacterial microbiome composition for different hosts. In a mixed linear model, microinvertebrates did not significantly impact dispersion (P=0.44), but microbiome type did (P=0.03). Pairwise contrasts show that while external microbiomes of P. murrayi and Tardigrada are more variable than their internal microbiomes, E. antarcticus external and internal microbiomes are equally variable.

opencc-by-4.0Jan 2019View details →

Figure 1 in Effects of Palmer Amaranth (Amoronthus polmeri) Establishment Time and Distance from the Crop Row on Biological and Phenological Characteristics of the Weed: Implications on Soybean Yield

Figure 1. Schematic representation of the experimental setup depicting the distance of Amoronthus polmeri (AMAPA) from the crop (i.e., 0, 24, and 48 cm from the soybean row) and the sequence of A. polmeri establishment time (i.e., 0, 1, 2, 4, 6, and 8 wk after soybean emergence [WAE] or AMAPA-0, AMAPA-1, AMAPA-2, AMAPA-4, AMAPA-6, and AMAPA-8, respectively). Each treatment combination (i.e., establishment time × distance from the crop) was applied only to one randomly selected experimental plot per replication.

openmit-licenseJun 2024View details →

Reading the Poetry of António Ramos Rosa from a Distance: Bird's-Eye View, Kingdoms of Nature, The Four Elements (datasets-bundle-2)

<div> Datasets created by Patrícia Esteves Reina with contributions from Bruno Ministro and Helena Costa Carvalho   Corpus: António Ramos Rosa's complete poetry Language: Portuguese (Portugal)   Contents <ul> <li>Visão Panorâmica (Bird’s-Eye View)</li> <li>Reinos Animal, Vegetal e Mineral (Kingdoms of Nature)</li> <li>Quatro Elementos (The Four Elements)</li> </ul>   Data analysis and extraction using R language in RStudio <ul> <li>Timeframe: October 2023 - June 2024</li> <li>Work Package 2</li> <li>datasets-bundle-2</li> </ul> Timestamps of the .csv files attached here: 29-06-2024   Exploratory research project (2022.08122.PTDC) To See the Tree and the Forest. Reading the Poetry of António Ramos Rosa from a Distance https://doi.org/10.54499/2022.08122.PTDC Funding: Fundação para a Ciência e a Tecnologia, Portugal PI: Bruno Ministro Host: Institute for Comparative Literature - Faculty of Arts and Humanities of the University of Porto <a href="https://arvore.ilcml.com/en/home-en/" rel="nofollow">https://arvore.ilcml.com/en/home-en/</a> </div>

FIGURE 1. A in A novel distance that reduces information loss in continuous characters with few observations

FIGURE 1. A. An interval and its components; B. Possible relationships between two intervals and A, B, and C in the Character X's space; C. DBI's behavior according to the possible relationships between the intervals of any two objects. For this, a mobile test interval of range X with its upper limit placed at Y was discreetly displaced by D units W times. For each of these W steps the DBI between the test interval and a fixed interval of range F with its lower limit placed at H were computed. The Left section shows the DBI for non-overlapped intervals; the Central section shows the DBI for partially overlapped intervals; and the Right section shows the DBI for fully overlapped intervals. Dashed lines show the results between intervals with different relative ranges (i.e., interval sizes). The asterisks show the paired distances between A, B, and C using DBI.

opencc-by-4.0Nov 2023View details →

Figure 2 in The influence of distance from crushed stone mining on surface-active arthropods and soil chemical properties

Figure 2. Principal coordinates analyses (PCO) of the composition of soil chemical properties across sampling points from A, Blue Rock and B, Ikwezi mining sites. Grey triangles = 5 m, circles = 30 m, squares = 50 m, and open triangles = 70 m from the mining activities.

opencc-by-4.0Nov 2023View details →

Figure 1 in The influence of distance from crushed stone mining on surface-active arthropods and soil chemical properties

Figure 1. Study sites showing sampling points (5 m, 30 m, 50 m and 70 m) from the mining activities at Blue Rock and Ikwezi mining sites.

opencc-by-4.0Nov 2023View details →

Figure 3 in The influence of distance from crushed stone mining on surface-active arthropods and soil chemical properties

Figure 3. Effect of distance from the mining sites on the mean values of zinc. A, Blue Rock and B, Ikwezi mining site.

Figure 5 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 5. Growth analysis of shoots and roots of tomato BS II0020 grown under irrigated or drought conditions. (A) fresh weight; (b) dry weight; (c) foliar area; (d) height. Control plants received full irrigation throughout the experiment. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means between biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.

Figure 4 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 4. Open stomata (a) and water loss by detached leaves (b) of tomato BS II0020. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means among biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.

Figure 1 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 1. Growth analysis of tomato BS II0020 grown in split-root scheme under full or partial irrigation. (a) fresh weight; (b) dry weight; (c) foliar area; (d) height. Control plants received full irrigation throughout the experiment. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means between biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.

Figure 7 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 7. Schematic representation of the proposed model for the role of H 2O2 in drought stress responses in tomato plants before and after the decline in shoot turgor. Thus, when there is a mild drought stress, the H O produced by the roots can travel to the shoot 2 2 where it will induce stomatal closure and thus reduce water loss, even before there is a reduction in the leaves water status. On the other hand, when drought stress becomes severe, other signals become part of the drought response complex, such as hormones, pH changes and electrical current, among others. Currently, H O appears to exert a lesser effect on drought signaling. *Several signals, such 2 2 as hormones, chemical elements, reactive nitrogen species, electrical currents, hydraulic signals and pH changes (Christmann et al., 2013; Silva et al., 2015; Karuppanapandian et al., 2017; Huber et al., 2019; Fichman and Mittler, 2020; Mahmood et al., 2020).

Figure 3 in Hydrogen peroxide is involved in drought stress long-distance signaling controlling early stomatal closure in tomato plants

Figure 3. Water relations of tomato BS II0020 grown in split-root scheme under full or partial irrigation. (a) relative water content; (b) total transpiration of plants throughout the evaluation period; (c) transpiration per cm2 of leaf area; (d) water use efficiency. Control plants received full irrigation throughout the experiment. The values are the means of each treatment (n= 4), followed by the standard error. The letters over the bars represent the differences in the means among biochemical treatments within each condition, and the asterisks the differences of the same biochemical treatment between the conditions, calculated by Scott-knott test at 5% probability.

Fig. 5 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration

Fig. 5. Hind wing shape variation (CV1: 50.41%; CV2: 15.49%). The colored circles in the image above represent the average discrete point center of populations; the number is the population ID. Thin-plate spline analysis results are shown by colored grid, which represents wing shape deformation. The numbers on the grid are landmarks of wings. Blue color denotes contraction between landmarks, and red color indicates expansion between landmarks. The North group and South group correspond to the boundary of Qinling Mountains as the boundary between northern and southern China.

Fig. 4 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration

Fig. 4. Forewing shape variation (CV1: 46.68%; CV2: 14.88%). The colored circles in the image above represent the average discrete point centers of populations; the number is the population ID. Thin-plate spline analysis results are shown by colored grid, which represents wing shape deformation. The numbers on the grid are landmarks of wings. Blue colored notes contraction between landmarks, and red color indicates expansion between landmarks. The North group and South group correspond to the boundary of Qinling Mountains as the boundary between northern and southern China.

Fig. 1 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration

Fig. 1. Distribution map of the P. rapae populations studied and the integrated physical regionalization (diverse environments) in the Qinling Mountains and adjacent regions. Note: The numbers represent the IDs of the populations; the circles and groups represent the populations divided by the cluster analysis from Fig. 6.

Fig. 3 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration

Fig. 3. Boxplot of P. rapae centroid size (CS) with the mean, standard error, and standard deviation illustrating variations in wing size across geographical populations.

Fig. 6 in A geometric morphometric study of the wing shapes of Pieris rapae (Lepidoptera: Pieridae) from the Qinling Mountains and adjacent regions: An environmental and distance-based consideration

Fig. 6. UPGMA tree of P. rapae forewing and hind wing among different populations, based on Euclidian distances between mean wing shapes. The cluster numbers are population IDs (see Table 1).The groups are divided by Euclidian distances, i.e., the forewing divided by a linkage distance at 0.0027 and the hind wing by a linkage distance at 0.0038.

opencc-by-4.0Dec 2023View details →

Рис. 9. Δинамика увеΛичения участка обитания моΛоΑых особей гренΛанΑского Λемминга оΑного помета (участок обозначен по крайним точкам уΑаΛения от основной норы): 1 — 13 июΛя (первый выхоΑ из норы); 2 — 16 июΛя; 3 — 21–22 июΛя; 4 — 25 июΛя; 5 — 31 июΛя; 6 — 4 августа. ОстаΛьные обозначения как на рис. 2 Fig. 9. Dynamics of an increase in the habitat area of young Greenland lemmings from the same litter (the site is marked by the extreme points of distance from the main burrow): 1 — 13 July (the first exit from the burrow); 2 — 16 July; 3 — 21–22 July; 4 — 25 July; 5 — 31 July; 6 — 4 August. For other designations see Fig. 2 in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island

Рис. 9. Δинамика увеΛичения участка обитания моΛоΑых особей гренΛанΑского Λемминга оΑного помета (участок обозначен по крайним точкам уΑаΛения от основной норы): 1 — 13 июΛя (первый выхоΑ из норы); 2 — 16 июΛя; 3 — 21–22 июΛя; 4 — 25 июΛя; 5 — 31 июΛя; 6 — 4 августа. ОстаΛьные обозначения как на рис. 2 Fig. 9. Dynamics of an increase in the habitat area of young Greenland lemmings from the same litter (the site is marked by the extreme points of distance from the main burrow): 1 — 13 July (the first exit from the burrow); 2 — 16 July; 3 — 21–22 July; 4 — 25 July; 5 — 31 July; 6 — 4 August. For other designations see Fig. 2