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Figure 11 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 11. Macrobrachium iheringi (Ortmann, 1897). Time series analysis of undifferentiated individuals and (A) rainfall (mm) from July 1991 to June 1992 and (B) temperature (°C) from July 1993 to June 1994 in Botucatu, Brazil. Lag = time; Corr = correlation value; S.E. = standard error; Conf. Limit = confidence limit.
Figure 10 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 10. Macrobrachium iheringi (Ortmann, 1897). Time series analysis of ovigerous females and (A) rainfall (mm) and (B) temperature (°C) from July 1993 to June 1994 in Botucatu, Brazil. Lag = time; Corr = correlation value; S.E. = standard error; Conf. Limit = confidence limit.
Figure 9 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 9. Macrobrachium iheringi (Ortmann, 1897). Relationship between fecundity and total length of females.
Figure 8 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 8. Monthly distribution of individuals of Macrobrachium iheringi (Ortmann, 1897) by size classes, captured from July 1993 to June 1994.
Figure 6 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 6. Projection scores of first and second principal components, generated with the principal components analysis of Macrobrachium iheringi (Ortmann, 1897) males' morphometric data.
Figure 7 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 7. Monthly distribution of individuals of Macrobrachium iheringi (Ortmann, 1897) by size classes, captured from July 1991 to June 1992.
Figure 5 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 5. Estimation of the size at onset of morphological sexual maturity of Macrobrachium iheringi (Ortmann, 1897) females. The estimated size is the carapace length (CL) of the smallest adult individual, obtained after the distinction of juvenile (open circles) and adult (black circles) equations. PW = pleura width, AL = abdomen length, IL = ischium length, ML = merus length, CrL = carpus length, PpL = propodus length, DcL = dactyl length and PpH = propodus height.
Figure 4 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 4. Estimation of the size at onset of morphological sexual maturity of Macrobrachium iheringi (Ortmann, 1897) males. The estimated size is the carapace length (CL) of the smallest adult individual, obtained after the distinction of juvenile (open circles) and adult (black circles) equations. PW = pleura width, AL = abdomen length, IL = ischium length, ML = merus length, CrL = carpus length, PpL = propodus length, DcL = dactyl length and PpH = propodus height.
Figure 3 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 3. Monthly variation of water temperature and pluviosity during the two sampling periods, July 1991 to June 1992 and July 1993 to June 1994, in Botucatu, state of São Paulo, Brazil.
Figure 2 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 2. Measurements taken from each specimen of Macrobrachium iheringi (Ortmann, 1897) (CL = carapace length, PW = pleura width, AL = abdomen length. IL = ischium length, ML = merus length, CrL = carpus length, PpL = propodus length, DcL = dactyl length and PpH = propodus height).
Figure 1 in Relative growth and population dynamics of Macrobrachium iheringi (Decapoda, Palaemonidae)
Figure 1. Map showing the sampling site, Ribeirão da Hortelã (22°57'S and 48°26'W), in Botucatu, São Paulo.
Elastic energy storage in seahorses leads to a unique suction flow dynamics compared to other actinopterygian
<p></p><p>Suction feeding is a dominant prey-capture strategy across actinopterygians, consisting of a rapid expansion of the mouth cavity that drives a flow of water containing the prey into the mouth. Suction feeding is a power-hungry behavior, involving the actuation of cranial muscles as well as the anterior third of the fish's swimming muscles. Seahorses, which have reduced swimming muscles, evolved a unique mechanism for elastic energy storage that powers their suction flows. This mechanism allows seahorses to achieve head rotation speeds that are 50 times faster than fish lacking such a mechanism. However, it is unclear how the dynamics of suction flows in seahorses differ from the conserved pattern observed across other actinopterygians, nor how differenced in snout length across seahorses affect these flows. Using flow visualization experiments, we show that seahorses generate suction flows that are 8 times faster than similar-sized fish, and that the temporal patterns of cranial kinematics and suction flows in seahorses differs from the conserved pattern observed across other actinopterygians. However, the spatial patterns retain the conserved actinopterygian characteristics, where suction flows impact a radially symmetric region of ∼1 gape diameter outside the mouth. Within seahorses, increases in snout length were associated with slower suction flows and faster head rotation speeds, resulting in a trade-off between pivot feeding and suction feeding. Overall, this study shows how the unique cranial kinematics in seahorses are manifested in their suction feeding performance, and highlights the trade-offs associated with their unique morphology and mechanics.</p><p></p>
Understanding arid‐region waterbird community dynamics during lake dry‐downs
<p>These data were collected to explore changes in the bird community associated with Lake Ngami, Botswana, through successive drydown periods. Our analysis shows significant shifts, driven partially by changes in water level, in the species composition of the bird community over the period of study. The data set contains standardised half-hour point counts for the bird community of Lake Ngami, Botswana; and R code used for community-level analyses of the resulting time series. Counts were undertaken every 4 months from October 2007-July 2009.</p> <p>We used the data to test three theoretical predictions: simplification of the bird community over time due to a reduction in habitat area and concurrent niche loss; large fluctuations in densities of mobile, opportunistic species; and high variance in predator and prey abundance. Despite temporal variance in species accumulation, we observed no obvious simplification of the bird community over time. There were distinct but consistent groupings of abundance and composition across transitional stages in lake water levels. The data do show some rapid shifts in functional composition, such as loss of deepwater foragers; winners and losers also occurred within foraging guilds.</p>
Data from dissertation: 'Landscape and Aboveground Biomass Dynamics of Brazilian Savanna using airborne LIDAR and MapBiomas datasets : case study of Rio Vermelho Watershed, Brazil'
<p>This dissertation was submitted to University of Manchester as part of MSc GIS program</p> <p>This repository contains:</p> <p>1) Contains the R language code used in the dissertation (CHM_&_LiDAR_metric.R; Landscape_metric.R; Generalized_Linear_Model.R; Random_Forest_Model.R).</p> <p><br> 2) Canopy Height Model (CHM) and 56 LiDAR metric raster files with a resolution of 1m (CHM_&_LiDAR_metric_2014.zip; CHM_&_LiDAR_metric_2018.zip), the original LiDAR data come from Brazil project supported by the Brazilian Agricultural Research Corporation (EMBRAPA), the US Forest Service, USAID, and the US Department of State.</p> <p><br> 3) AGB raster files with a resolution of 10m (AGB_2014.tif; AGB_2018.tif; AGB_dynamic.tif), field plots used for AGB estimation come from Sabrinado Couto de Miranda from University of Goiás State (UEG), Brazil, and her team.</p> <p><br> 4) Landscape metric interpolation raster file (SHDI.tif; SHEI.tif; AREA_CV.tif; CIRCLE_MN.tif; SHAPE_MN.tif) with a resolution of 10m, land cover map Map come from Biomas team for landscape metric calculation.</p>
Investigation of CO2 Orientational Dynamics through Simulated NMR Line Shapes
<p>Raw data set relating to publication.</p>
Dataset for Journal of Applied Physics 130, 124502 (2021) - Force microscopy cantilevers locally heated in a fluid: temperature fields and effects on the dynamics
<p><strong>"Fig7.fig"</strong>: Matlab figures including all the measured and treated data used to plot figure 7 of the article.</p> <p><strong>"Fig7_data.mat "</strong>: Matlab files containing the data to plot figure 7 of the article.</p> <p><strong>"Fig7_plot.m "</strong>: Matlab scripts to plot the data of the Matlab files "Fig7_data.mat"</p> <p><strong>"Fig10.fig"</strong>: Matlab figures including all the measured and treated data used to plot figure 10 of the article.</p> <p><strong>"Fig13.fig"</strong>: Matlab figures including all the measured and treated data used to plot figure 13 (in the appendix) of the article.</p> <p> </p>
Precomputation of Image Features for the Classification of Dynamic Properties in Waves
<p>Image data and H5 files from feature extraction too large for Github related to the project <a href="https://github.com/ryan597/Precomputation-of-features--classification">Precomputation of Image Features for the Classification of Dynamic Properties in Waves</a>.</p>
Data for: Telomere dynamics in relation to experimentally increased locomotion costs and fitness in great tits
<p>Evidence that telomere length (TL) and dynamics can be interpreted as proxy for 'life stress' experienced by individuals stems largely from correlational studies. We tested for effects of an experimental increase of workload on telomere dynamics by equipping male great tits (Parus major) with a 0.9 gram backpack for a full year. In addition, we analysed associations between natural life-history variation, TL and TL dynamics. Carrying 5% extra weight for a year did not significantly accelerate telomere attrition. This agrees with our earlier finding that this experiment did not affect survival or future reproduction. Apparently, great tit males were able to compensate behaviourally or physiologically for the increase in locomotion costs we imposed. We found no cross-sectional association between reproductive success and TL, but individuals with higher reproductive success (number of recruits) lost fewer telomere base pairs in the subsequent year. We used the TRF method to measure TL, which method yields a TL distribution for each sample, and the association between reproductive success and telomere loss was more pronounced in the higher percentiles of the telomere distribution, in agreement with the higher impact of ageing on longer telomeres within individuals. Individuals with longer telomeres and less telomere shortening were more likely to survive to the next breeding season, but these patterns did not reach statistical significance. Whether successful individuals are characterized by losing fewer or more base pairs from their telomeres varies between species, and we discuss aspects of ecology and social organisation that may explain this variation.</p>
FIGURE 9 in Occurrence, Population Dynamics And Winter Phenology Of Spider Mites And Their Phytoseiid Predators In A Citrus Orchard In Syria
FIGURE 9: Mean densities of phytoseiid dominant species per trap (± SE) attached to citrus twigs in the orchard studied in Latakia province, Syria, from the beginning of November 2013 to the beginning of May 2014.
FIGURE 8 in Occurrence, Population Dynamics And Winter Phenology Of Spider Mites And Their Phytoseiid Predators In A Citrus Orchard In Syria
FIGURE 8: Mean densities of Phytoseiidae per trap (± SE) attached to citrus twigs in the orchard studied in Latakia province, Syria, from the beginning of November 2013 to the beginning of May 2014.
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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.