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Fig.1 in Reaching The Climate Objectives Of Forest Management In Latvia Within The Scope Of European Climate Policy
Fig.1. Policy documents affecting the Climate Change Mitigation policy of the Forest sector by 2020.
Figure 1 in Current knowledge of New Caledonian marine and freshwater ichthyofauna, SW Pacific Ocean: diversity, exploitation, threats and management actions
Figure 1. – Location of New Caledonia in the southwest Pacific. Dotted lines: limits of the New Caledonian EEZ, triangles: main seamounts, blue zones: UNESCO world heritage areas, and red hatched zones: fully protected marine areas. Modified from New Caledonian Government, Global seamounts database, The Pew charitable trust.
Fig. 1 in Land management and biodiversity maintenance: a case study in grasslands in the Coastal Plain of Rio Grande do Sul
Fig. 1. Principal Coordinates Analysis of four grassland with different historical use, described for 21 variables and 80 SU. ● = GSB, ○ = GRC, □ = GR1, ◊ = GR2, Aaff = Axonopus affinis, Ppum = Paspalum pumilum.
Figure 3 in Spatial distribution of Ceratitis capitata in guava orchards and influences from orchard management
Figure 3. Estimates of the parameters of the regression analysis by the Taylor power model, adjusted by the F test to evaluate the spatial distribution and the t-test to compare the hypotheses of the aggregation index of Ceratitis capitata in guava orchards, Ivinhema-MS. Tests: ANOVA (F = 304.05; p <0.001; g.l = 20); t (5.17; p <0.001) for the Alpha hypothesis (h0: a = 1 vs h1 a ≠ 1, where: Alpha (a <0, a = 0 and a>0) and; t (17.44; p <0.001) for the Beta hypothesis (h0: b = 1 vs h1: b ≠ 1), where: Beta (b <1, b = 1 and b> 1).
Figure 2 in Spatial distribution of Ceratitis capitata in guava orchards and influences from orchard management
Figure 2. Number of fruit fly/trap/day (FTD) of Ceratitis capitata and range of negative binomial thresholds (Bn) with other distributions, establishing the levels of safety and control activities for the Mediterranean fly in three guava orchards, Ivinhema, MS, Brazil.
Figure 4 in Monitoring of infestation percentages of the invasive red palm weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), and management tactics: a six-year study
Figure 4. Percentages of infested, treated & removed palm trees affected by R. ferrugineus, in 8 date palm locations in Qassim Province from 2015 to 2020, Saudi Arabia.
Figure 5 in Monitoring of infestation percentages of the invasive red palm weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), and management tactics: a six-year study
Figure 5. The relationship between the percentage of infested to treated and infested to removed date palm trees affected by R. ferrugineus, from 2015 to 2020 (Regression equations and R2 values).
Figure 1 in Monitoring of infestation percentages of the invasive red palm weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), and management tactics: a six-year study
Figure 1. Map of Qassim province showing the 8 locations of study. In the eight locations (Qassim/Saudi Arabia) in which a survey of RPW studies was conducted from 2015-2020 - Each Location was coded with a Blue Letter.
Figure 3 in Monitoring of infestation percentages of the invasive red palm weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), and management tactics: a six-year study
Figure 3. The yearly average of infested, treated & removed date palm trees affected by R. ferrugineus from 2015 to 2020, Qassim Province, Saudi Arabia.
DATABASE MANAGEMENT PLAN FOR MEDICAL DIAGNOSTICS
<p><strong>Database Management Plan for Medical Diagnostics.</strong></p> <p><strong>Hidden Key Words: Common Test, Uncommon Test, Blood Parameters, Profiles.</strong></p>
Figure 5 in Development of predictive models for determining fetal age-at-length in belugas (Delphinapterus leucas) and their application toward in situ and ex situ population management
Figure 5. Illustration of the linear relationships between fetal age and growth measurements of biparietal diameter (BPD: top graph), thoracic diameter (TD: middle graph) and thoracic circumference (TC: bottom graph) in belugas.
Figure 4 in Development of predictive models for determining fetal age-at-length in belugas (Delphinapterus leucas) and their application toward in situ and ex situ population management
Figure 4. Comparisons of regression curves of TL growth during the first (●) and second half (○) of gestation (top graph) and the early (●), mid (○) and late (▲) pregnancy (bottom graph). The slopes of the regression lines for first half of gestation (F = 63.31, P <0.0001, df1 = 1, df2 = 33) and for early (F = 50.05, P <0.0001, df1 = 1, df2 = 37) and mid pregnancy (F = 135.04, P <0.0001, df1 = 1, df2 = 32) were different than those for the second half of gestation and late pregnancy, respectively. Note that the animals double in length during late pregnancy (315–473 d).
Figure 3 in Development of predictive models for determining fetal age-at-length in belugas (Delphinapterus leucas) and their application toward in situ and ex situ population management
Figure 3. Individual growth rate data from three animals (Animal 1, 2, 3). Regression line slopes during the first two-thirds of pregnancy (top graph) were similar (F = 0.48, P = 0.62, df1 = 2, df2 =18), while regression slopes where different (F = 15.13, P = 0.03, df1 = 2, df2 =3) from the second half to term. Animal 1 (▲) did not have any TL data beyond the first half of gestation so TL length data were used from the farthest in gestation and then again at term. Note that while growth rates were similar during the first two-thirds of pregnancy, fetuses were already different in size when initially detected.
Figure 2 in Development of predictive models for determining fetal age-at-length in belugas (Delphinapterus leucas) and their application toward in situ and ex situ population management
Figure 2. Fetal growth curve comparison illustrating different growth rates resulting in wide range in estimated gestation length as compared to known gestation length determined in this study. Data from Heide-Jørgensen and Teilmann (1994; dotted line) predicts a gestation length of 310 d for a 150 cm calf and similar to our study used a 2nd order polynomial regression to describe their data. Kleinenberg et al. ([1964] 1969: dashed line) developed a curve of the average monthly embryo/fetal growth. They did not provide the curve, only the predicted age at TL, which we then used to fit to a growth curve, which predicts 150 cm calf as 338 d.
Figure 1 in Development of predictive models for determining fetal age-at-length in belugas (Delphinapterus leucas) and their application toward in situ and ex situ population management
Figure 1. Ultrasonographic images of beluga fetuses. All images have yellow caliper lines used to measure dimensions. Biparietal diameter (A, B) at two different stages of gestation show the ovoid shaped skull and echo produced from falx (arrows) located midline between the parietal bones (arrowheads). The thoracic diameter (C) as measured between the yellow caliper marks (arrowheads) on the lateral side of the fetal thorax (d1 = 6.66 cm) at the level of the heart (white arrow) and thoracic circumference (c = 24.04 cm) determined by using the elliptical measurement caliper function to include the dorsal to ventral diameter (d2 = 8.67 cm). The total length of a fetus (D) which is bent in utero, thus requiring the addition of two separate measurements (arrowheads), 1) 8.38 cm from the cranial most aspect of the skull to mid abdomen and 2) 6.91 cm from mid abdomen to distal most portion of the peduncle for a total length of 15.29 cm.
Fig. 4 in The potential management of a ground-nesting, solitary bee: Anthophora abrupta (Hymenoptera: Apidae)
Fig. 4. Bee activity as indicated by the average number of Anthophora abrupta returning to the nesting site per minute at the mother and daughter nesting aggregations in 2012, 2013, and 2014. The error bars indicate standard error.
Fig. 2. The 1 in The potential management of a ground-nesting, solitary bee: Anthophora abrupta (Hymenoptera: Apidae)
Fig. 2. The 1st daughter nesting aggregation of Anthophora abrupta established 10.3 km from the original nest site in Gainesville, Florida. It was created as a split from the mother nesting aggregation in Mar 2012. Photo: Jason R. Graham.
Fig. 3. A 2 in The potential management of a ground-nesting, solitary bee: Anthophora abrupta (Hymenoptera: Apidae)
Fig. 3. A 2nd daughter nesting aggregation of Anthophora abrupta established 35.7 km from the original nest site in Gainesville, Florida. It was created as a split from the mother nesting aggregation in Mar 2014. Photo: Amanda M. Ellis.
Fig. 1 in Reducing mowing frequency increases floral resource and butterfly (Lepidoptera: Hesperioidea and Papilionoidea) abundance in managed roadside margins
Fig. 1. Effects of mowing treatment (no mowing, mowing every 6 wk, and mowing every 3 wk) on butterfly abundance and mortality. (a) Live butterflies were counted every other week and summed for the section replicates of each mowing treatment. (b) Dead butterflies were counted weekly and summed for the section replicates of each mowing treatment. (c) The relative butterfly mortalities were calculated every 3 wk as ΣDead / (ΣDead + ΣLive) for the section replicates of each mowing treatment. The gray box on each x-axis indicates when the interrupted 6 wk treatment (6* wk) was added due a mowing error in the 6 wk treatment sections in Site 2. The 6* wk treatment was split from the 6 wk treatment for the whole time period in all sites for longitudinal reasons, i.e., to avoid an unnatural drop in the 6 wk treatment afer the mowing error. The 6* wk treatment was split afer the mowing error in Site 2 in the statistical analysis. Black vertical lines represent the knots that separated the data into spline sections for the statistical analyses.
Fig. 2. Gompertz 3 in Seasonal phenology of Sirex nigricornis (Hymenoptera: Siricidae) in Arkansas with implications for management of Sirex noctilio
Fig. 2. Gompertz 3-parameter model fit to cumulative proportion of wood wasps captured in Arkansas, USA, from 3 Nov to 9 Dec 2009.
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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.