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FIGURE 2 in An updated checklist of bryophytes for the state of Paraíba, a Brazilian hotspot: new records and biological spectrum in a Seasonally Dry Tropical Forest fragment
FIGURE 2. Results for the Weighted Pair-Group Method with Arithmetic mean (WPGMA) based on the Sørensen similarity index for all species at sites listed by Germano et al. (2016) and the studied seasonally dry tropical forest fragment (SDTF). Cophenetic Correlation Coefficient (CCC) = 0.83. The areas are named following Germano et al. (2016) with P = point/sampled area.
FIGURE 1. Erythroxylum niquelandense M. J. Silva & Loiola. A. Fertile branch. B. Leaf. C in A new species of Erythroxylum (Erythoxylaceae) from the seasonal dry forests of the state of Goiás, Brazil
FIGURE 1. Erythroxylum niquelandense M. J. Silva & Loiola. A. Fertile branch. B. Leaf. C. Detail of the midvein in the adaxial leaf surface. D. Petiole, adaxially canaliculate and transversely rugose. E. Stipule, dorsal view. F. Cataphyll, dorsal view. G. Fascicle with flower buds and open flowers. H. Flower bud. I. Bracteole, dorsal view, note erose margin. J. Brevistylous flower. K. Longistylous flower. L. Petal, ventral view. M. Ovary. N. Fruits. (From holotype, Illustrated by Cristiano Gualberto).
FIGURE 2. Erythroxylum niquelandense M. J. Silva & Loiola. A. Habitat and habit. B in A new species of Erythroxylum (Erythoxylaceae) from the seasonal dry forests of the state of Goiás, Brazil
FIGURE 2. Erythroxylum niquelandense M. J. Silva & Loiola. A. Habitat and habit. B. Leaves and phylotaxy, note the conspicuous veins on the adaxial surface and slightly bullate leaf. C. Stipules. D. Stem and bark detail. E. Fascicle with flower bud, open flowers, and immature fruits. F. Immature fruits longitudinally striated, note the different shapes. G. Fruit in advanced stage of maturation with red apex. (Images taken by M. J. Silva)
FIGURE 3 in A new species of Erythroxylum (Erythoxylaceae) from the seasonal dry forests of the state of Goiás, Brazil
FIGURE 3. Distribution map of Erythroxylum niquelandense M. J. Silva & Loiola in Goiás state, Central-West region, Brazil.
Legacy effects of canopy gaps on liana abundance 25 years later in a seasonal tropical evergreen forest in northeastern Thailand
<p><span>Liana</span><span>s </span><span>require host trees to reach and stay in the forest canopy, but as seedlings and juveniles, they benefit from canopy gaps created by treefalls</span><span>.</span><span> Here, we evaluated the relative importance of these two aspects, i.e., the availability of potential</span><span> hosts</span><span> vs. the legacy effect of past treefall gaps, on the local abundance of liana stems in a seasonal tropical evergreen forest in the Sakaerat Biosphere Reserve in northeastern Thailand. Within a 2.5-ha plot for forest dynamics monitoring, canopy height was measured in 1993 and 2018 at 5-m intervals to distinguish areas of mature (canopy height </span><span>≥</span><span> 20 m), building (10-20 m), and gap phases (< 10 m). In 2017–2018, we surveyed all liana stems </span><span>≥</span><span> 1 cm in diameter at breast height within 50 subplots (10 m × 10 m each) and recorded their diameter and the diameter of the host tree. Of a total of 445 liana individuals, 242 could be identified at least to the family level, while the others had clear morphological traits of climbing mechanisms. The number of liana stems was higher in areas that had been at the building/gap phase than those at the mature phase in 1993. When this 25-year-old legacy of past gap locations was considered, there was a positive association of local abundance between lianas and trees in areas at the mature phase in 2018. In conclusion, liana abundance reflected a long-term legacy of past treefall gaps more than 25 years earlier in this seasonal evergreen forest.</span></p>
Figure 4 in Use of remote cameras to evaluate ocelot (Leopardus pardalis) population parameters in seasonal tropical dry forests of central-western Mexico
Figure 4: Relationship between estimated ocelot density and precipitation in tropical rain forests (TRF) and tropical seasonal ecosystems (TSE). Ocelot density in tropical rain forest was the closest to show a significant increase with annual precipitation (R2 = 0.2463, p = 0.071).
Figure 3 in Use of remote cameras to evaluate ocelot (Leopardus pardalis) population parameters in seasonal tropical dry forests of central-western Mexico
Figure 3: Estimated ocelot density in tropical rainforest sites (TRF) and tropical seasonal ecosystems (TSE). Thick horizontal lines correspond to median values. The upper and lower extremes of the boxes correspond to the first and third quartiles, whiskers correspond to 1.5 times the interquartile range of the data and empty circles are outliers.
Figure 2 in Use of remote cameras to evaluate ocelot (Leopardus pardalis) population parameters in seasonal tropical dry forests of central-western Mexico
Figure 2: Examples of markings employed for individual recognition of ocelots. (A) and (B) Photographic recapture of same individual in the locality of El Naranjal. (C) and (D) Different individuals recorded in the locality of Playa del Venado. The oval indicates an example of a set of unique spot and stripes patterns employed for individual identification.
F I G U R E 1 in The nutritional importance of invertebrates to female Cebus capucinus imitator in a highly seasonal tropical dry forest
F I G U R E 1 The (a) monthly fruit energy density versus the monthly percentage of energy intake from invertebrates for all female capuchins studied and (b) group-level linear regression results between ripe fruit energy density and the percentage of energy intake from invertebrates (log transformed) for our three capuchin study groups. One outlier month (> 2 SD from the mean) was removed from the intergroup analysis
F I G U R E 3 in The nutritional importance of invertebrates to female Cebus capucinus imitator in a highly seasonal tropical dry forest
F I G U R E 3 Mean contribution of fruit and invertebrates to the (a) estimated daily energy intake and (b) protein intake per body weight per day. The dotted red line indicates monthly estimated (a) energy intake based on the estimated 1,000 kJ/day and (b) protein requirements based on the 1.8 g/kg/day. The dotted black line represents the estimated requirements for lactating females, which are estimated to require 1.5 times more (a) energy and (b) protein than cycling females. Minimum energetic and protein requirements are often not met by consuming fruit alone but are when invertebrates are included, particularly for lactating females. Although data are presented to reflect a calendar year, data were collected in three separate periods between 2009 and 2011
T A B L E 2 in The nutritional importance of invertebrates to female Cebus capucinus imitator in a highly seasonal tropical dry forest
T A B L E 2 Taxonomic composition of invertebrate prey consumed by female white-faced capuchins from 2009 to 2011, at Sector Santa Rosa, Costa Rica
Data from: Modeling seasonal surface temperature variations in secondary tropical dry forests
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Data from: Association between rainfall seasonality and the flowering of epiphytic plants in a Neotropical montane forest
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Phenology in winter-deciduous relict mediterranean forests as a tool to understand their adaptation to climatic seasonal cycles
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Data from: AFLP diversity and spatial structure of Calycophyllum candidissimum (Rubiaceae), a dominant tree species of Nicaragua’s critically endangered seasonally dry forest
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Recent changes in mountain birch forest structure and understory vegetation depend on the seasonal timing of reindeer grazing
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Dry season intensity has equivocal effects on the nutritional condition of understory birds in a Neotropical forest
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Data from: Dietary overlap and seasonality in three species of mormoopid bats from a tropical dry forest
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Data from: Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests
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Legacy effects of canopy gaps on liana abundance 25 years later in a seasonal tropical evergreen forest in northeastern Thailand
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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.