Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,293
datasets available to search
ShareScore release 0.9.0
Dataset results
2,293 results for “Atlantic forests”
FIG. 3 in Multi-aged forest fragments in Atlantic France that are surrounded by meadows retain a richer epiphyte lichen flora
FIG. 3. — The significant effect of host tree species (A) and shrub cover (B) on lichen species abundance according to a summary of the GLMMs. The GLMM results are presented for the interior forest at the tree level within FFs surrounded by meadows, taking into account the larger tree category (trees that range in circumference between 0.56 and 2.97).
FIG. 5 in Multi-aged forest fragments in Atlantic France that are surrounded by meadows retain a richer epiphyte lichen flora
FIG. 5. — The significant effect of tree circumference on the number of lichen species according to the summary of the GLMMs. The GLMM results are presented at the tree level within FFs surrounded by crops, taking into account the larger tree category (details as in Fig. 2).
FIG. 2 in Multi-aged forest fragments in Atlantic France that are surrounded by meadows retain a richer epiphyte lichen flora
FIG. 2. — The significant effects of: A, B, moss coverage; C, D, tree circumference; and E, F, host tree species on lichen abundance according to a summary of the GLMMs. The values of the estimator (E), standard error (SE), and Wald chi-squared test (chisq), the degrees of freedom (dfs) and significance (p) are presented. The GLMM results are presented for the larger tree category (trees that range in circumference between 0.56 and 2.97) at the tree and forest levels at the exteriors of the FFs surrounded by crops.
FIG. 1 in Multi-aged forest fragments in Atlantic France that are surrounded by meadows retain a richer epiphyte lichen flora
FIG. 1. — The location of the study area within the Poitou-Charentes region (western France). Source: Google Earth Pro V 7.3.2.5776. (14 December 2015). France. 45°21'34.14"N, 0°12'32.38"W, Eye alt 340.93 km. SIO, NOAA, U.S. Navy, NGA, GEBCO. US Dept of State Geographer. Landsat/Copernicus 2018. http://www. earth.google.com (13 February 2019).
Fig. 1 in Bait traps remain attractive to euglossine bees even after two weeks: a report from Brazilian Atlantic forest
Fig. 1. Variation in the number of individuals and species collected in RNV according to the attractive bait and each performed sample. a: abundance of specimens collected per day in each sample; b: absolute number of specimens collected in each sample; c: accumulated number of species after samples (a–c: sample 1, black; sample 2, gray; sample 3, white; BA: benzyl acetate; BI: β-ionone; EC: eucalyptol; EG: eugenol; MC: methyl trans-cinnamate; MS: methyl salicylate; VN: vanillin; T: total per sample); d: relative abundance of specimens collected in each scent (EC, black; EG, dark gray; VN, gray; BI, light gray; BA+MC+MS: white; numbers refer sequentially to first, second and third collections).
Site occupancy of Dasypus novemcinctus (Mammalia, Cingulata) and daily activity of four armadillo species in the Uruguayan Savanna and southern Atlantic Forest
<p>Datasets and R code for the research article "Site occupancy of Dasypus novemcinctus (Mammalia, Cingulata) and daily activity of four armadillo species in the Uruguayan Savanna and southern Atlantic Forest", published in Mammalian Biology. <a href="https://doi.org/10.1007/s42991-023-00366-3">https://doi.org/10.1007/s42991-023-00366-3</a></p>
Plant-hummingbird interactions in the Atlantic Forest: Current and future projections
Open the record for dataset details and reuse information.
Functional assembly of tropical montane tree islands in the Atlantic Forest is shaped by stress-tolerance, bamboo-presence and facilitation
Open the record for dataset details and reuse information.
Data from: Assessing the recovery gap in forest restoration within the Brazilian Atlantic Forest
Open the record for dataset details and reuse information.
Rural children know cavity-nesting birds of the Atlantic Forest but may underappreciate their critical habitat
Open the record for dataset details and reuse information.
Data from: Beta diversity patterns of bats in the Atlantic Forest: how does the scale of analysis affect the importance of spatial and environmental factors?
<p>Aim: Environmental and spatial factors are broadly recognized as important predictors of beta diversity patterns. However, the scale at which beta diversity patterns are evaluated will affect the outcoming results. For example, studies at larger scales will usually find spatial processes as the main predictor of beta diversity patterns. In this study we evaluate how beta diversity patterns change when analyses are conducted at different scales by reducing the scale of analysis in a hierarchical manner.</p> <p>Taxon: Chiroptera.</p> <p>Location: Atlantic Forest biome.</p> <p>Methods: Information on the occurrence of 59 bat species were obtained from the Atlantic Bats and Species Link database. We partitioned beta diversity into its two components (nestedness and turnover), and calculated these indexes hierarchically: the biome in its entirety (all ecoregions); between larger regions (north, central and south); and between ecoregions within each region. We performed a Generalized Dissimilarity Model (GDM) to identify and predict the turnover of bat species in the Atlantic Forest based on geo-climatic predictors. We obtained 19 geo-climatic data from AMBDATA, an environmental dataset based on different data sources commonly used in species distribution modeling.</p> <p>Results: We found that turnover was the main component influencing a latitudinal gradient when the biome was analysed in its entirety. However, when the scale of the analysis was reduced, we found that species loss (nestedness component) had a large effect in determining beta diversity dissimilarity. We also found that nestedness was the main pattern explaining beta diversity dissimilarity along a longitudinal gradient.</p> <p>Main conclusions: Beta diversity patterns changed with the scale of analysis, which indicates that bat species composition does not follow the same pattern throughout the Atlantic Forest. This corroborates the importance of analysing beta diversity patterns at different scales in order to understand how environmental dissimilarity across geographic space can influence species distribution patterns.</p>
Landscape heterogeneity shapes bird phylogenetic responses at forest-matrix interfaces in Atlantic Forest, Brazil
<p>Agricultural intensification is one of the major factors driving biodiversity loss. However, most studies in human-dominated landscapes have used taxonomic diversity in their analysis, ignoring evolutionary relationships. Consequently, the relationship between landscape structure and phylogenetic diversity is not well understood. Here, we tested the hypothesis that landscape heterogeneity is positively related to bird phylogenetic indexes of diversity and structure, leading to over-dispersed phylogenies in very heterogeneous landscapes. We analyzed phylogenetic responses in interfaces between forest edges and anthropogenic matrices (forest-pasture and forest-eucalyptus) using generalized linear mixed models. We also compared these indexes between land covers to assess which one best preserves the phylogenetic history of communities. We used both traditional phylogenetic indexes and those corrected for species richness. Our results showed that phylogenetic diversity varied significantly between land cover types, but this did not occur when we removed effects associated with species richness, suggesting that all land covers preserve similar levels of evolutionary history. Additionally, our best models showed a positive relationship between landscape heterogeneity and bird phylogenetic indexes of diversity and structure, but the strength of these relationships may be land-cover dependent. In summary, our work highlights the influence of landscape heterogeneity on the phylogenetic diversity and structure of bird communities, reinforcing the need for its incorporation into conservation-based studies.</p>
Data from: Drivers of bromeliad leaf and floral bract variation across a latitudinal gradient in the Atlantic Forest
<p>Aim: Understanding the complex interaction and relative contributions of factors involved in species and trait diversification is crucial to gain insights into the evolution of Neotropical biodiversity. Here, we investigated the drivers of morphological variation in bromeliads along a latitudinal gradient in a biodiversity hotspot.</p> <p>Location: Atlantic Forest, Brazil.</p> <p>Taxon: A species complex in the genus Vriesea (Bromeliaceae).</p> <p>Methods: We measured shape and size variation for 208 floral bracts and 176 leaves in individuals from 14 localities using geometric morphometrics. We compiled data for two chloroplast regions (matK and trnL-F) from 89 individuals to assess genetic diversity, population structure and phylogenetic relationships. We tested the influence of climate, altitude and genetic distance on morphological traits using linear statistical models.</p> <p>Results: Temperature seasonality is a main driver of floral bract shape. Together with precipitation, it also explains changes in leaf size across the latitudinal gradient. Shifts in morphological traits are correlated with genetic structure and partly support the recent taxonomic delimitation proposed for the species complex. The species started to diversify in the Pliocene ca. 5 Mya. We detected a phylogeographic break in species distribution into northern and southern clades between the Bocaina region and the southern portion of the Atlantic Forest.</p> <p>Main conclusions: We identify how geography and environmental changes through time shape floral bracts and leaves in similar ways. At highly seasonal sites with lower annual precipitation (in the southern subtropical portion of the Atlantic Forest), leaves are larger and floral bracts are wide-elliptic, making them better suited for increased water accumulation. In contrast, at less seasonal sites (in the tropical north, where rainfall is more abundant and temperatures are higher), leaves are narrower and floral bracts are lanceolate-shaped, facilitating water drainage. The biogeographical break we identified suggests a role of tectonic activity and climatic oscillations in promoting species divergence and diversification.</p>
Amazon and Atlantic Forest image datasets for semantic segmentation
<p>This database contains images from<strong> Amazon </strong>and <strong>Atlantic Forest </strong>brazilian biomes used for training a fully convolutional neural network for the semantic segmentation of forested areas in images from the Sentinel-2 Level 2A Satellite.</p> <p>The images refer to the composition of bands 4, 3, 2 and 8. Each band was converted to a byte type (0-255).</p> <p>The images are still divided into three main sets: training, validation and testing:</p> <ol> <li><strong>Training dataset: </strong>it contains 499 and 485 GeoTIFF images (Amazon and Atlantic Forest, respectively) with 512x512 pixels and associated PNG masks (forest indicated in white and background in black color).</li> <li><strong>Validation dataset</strong>: it contains 100 GeoTIFF images for each biome with 512x512 pixels and associated PNG masks used for validation step.</li> <li><strong>Test dataset: </strong>it contains 20 GeoTIFF images for each biome with 512x512 pixels for testing.</li> </ol>
Figure 5 in Anuran diversity of four taxocenoses of the subtropical Atlantic Forest from Santa Catarina and Paraná states Brazil
Figure 5. Dendrogram from cluster analysis with the Jaccard index method (dissimilarity shown by Weight 1-Jaccard index) grouping the four anuran taxocenoses (red highlight – BR-470, MGAN, SC-370 and BR-116) with other taxocenoses from the southern region of Brazil (Table 3). The red line represents the criterion of 40% dissimilarity.
Figure 4 in Anuran diversity of four taxocenoses of the subtropical Atlantic Forest from Santa Catarina and Paraná states Brazil
Figure 4. Rarefaction/extrapolation curves with their respective confidence intervals (95%) of the four sampled anuran taxocenoses: BR-470 highway between Ilhota and Indaial municipalities (BR-470), Santa Catarina state; Angelina and Major Gercino municipalities (MGAN), Santa Catarina state; SC-370 highway in Urubici municipality (SC-370), Santa Catarina state;and BR-116 highway between Curitiba and Mandirituba municipalities (BR-116), Paraná state.
Figure 2 in Anuran diversity of four taxocenoses of the subtropical Atlantic Forest from Santa Catarina and Paraná states Brazil
Figure 2. Map showing collection of breeding sites in the four localities studied: (A) BR-116 highway between Curitiba and Mandirituba municipalities (BR-116 – n = 13), Paraná state; (B) BR-470 highway between Ilhota and Indaial municipalities (BR-470 – n = 16), Santa Catarina state; (C) Angelina and Major Gercino municipalities (MGAN – n = 13), Santa Catarina state; (D) SC-370 highway in Urubici municipality (SC-370 – n = 14), Santa Catarina state.
Data from: Assessing the influence of biotic, abiotic, and social factors on the physiological stress of a large Neotropical primate in Atlantic Forest fragments
Wildlife physiological responses to environmental and human-related stressors provide useful clues on animal welfare. Non-invasive biomarkers, such as fecal glucocorticoid metabolites (fGCM), allow researchers to assess whether variations in habitat quality, behavior, and climate influence the animals' physiological stress. We examined the role of fragment size, ambient temperature, ripe fruit availability and consumption, percentage of records moving, sex, female reproductive state, and group composition as predictors of the level of fGCM in adult brown howler monkeys (Alouatta guariba clamitans) inhabiting three small (<10 ha) and three large (>90 ha) Atlantic Forest fragments in southern Brazil. We collected bimonthly behavioral data and fecal samples from adult individuals over three years, and used a multimodel inference framework to identify the main predictors of fGCM. We found that the mean (±SD) fGCM in the study groups ranged from 57 ± 49 ng/g to 93 ± 58 ng/g, which were within the known range for howler monkeys. We found 10 best models including five of the 17 tested variables. Sex and reproductive state were the only variables included in all these models. We found that fGCM was higher in nursing females (mean ± SD = 104 ± 73 ng/g) than in non-nursing females (64 ± 55 ng/g) and males (53 ± 40 ng/g, P < 0.05) and that it decreased with increasing ripe fruit consumption and minimum temperature. However, fragment size did not predict fGCM concentration (groups in small fragments = 71 ± 58 ng/g vs. groups in large fragments = 63 ± 54 ng/g, P > 0.05). We conclude that factors related to the energetic balance of individuals play major roles in modulating the physiological stress of brown howler monkeys. Future studies should investigate the consequences of higher levels of stress hormones on howler monkey health and demography.
Using a coalescent approach to assess gene flow and effective population size of Acrocomia aculeata (Jacq.) Lodd. Ex Mart. in the Brazilian Atlantic Forest
<p><i>Acrocomia aculeata</i> is a tropical palm tree native to Central and South America that has significant economic, social, and environmental potential. However, land encroachment due to the expansion of agribusiness, and other factors such as urban sprawl, have resulted in the fragmentation and destruction of its habitat, leading to the loss of genes and genotypes in <i>A. aculeata</i> populations. In this context, the objective of this study was to characterize the genetic variability of <i>A. aculeata</i> populations by estimating gene flow and effective population size using an approach based on coalescent theory. Four populations located in the municipalities of Teodoro Sampaio (TSI and TSII), Rosana (RA), and Amparo (AP) in São Paulo State, Brazil, were genotyped with nine microsatellite markers. Gene flow and effective population size were estimated using a coalescent-based Bayesian inference implemented in the MIGRATE-N software. The effective population size (<i>N<sub>e</sub></i>) was obtained considering an assumed mutation rate of <a name="_Hlk6565387">5x10<sup>-5</sup>. </a>Gene flow (<i>Nm</i>) for pairwise populations ranged from 0.28 to 1.17, with higher levels of migration between the three geographically proximal locations (TSI, TSII, and RA). The estimates of effective population size (<i>N<sub>e</sub></i>) were 444, 835, 838, and 874 for AP, TSII, RA, and TSI, respectively, showing that the effects caused by genetic drift may be more pronounced when <i>N<sub>e</sub></i> is smaller. The coalescent-based results add to our understanding of <i>A. aculeata</i> population genetics and suggest that some traditional assessment methods may be ineffective in characterizing historical evolutionary processes.</p>
Figure 8 in Megalobulimus dryades, a new species from the Atlantic Forest in southeastern Brazil, and redescription of Megalobulimus gummatus (Gastropoda: Strophocheilidae)
Figure 8. Megalobulimus dryades sp. nov. male structures: (A) penis and epiphallus, anterior view; (B) same, posterior view; (C) detail of epiphallus and its flagella; (D) penis and epiphallus opened longitudinally to expose their inner folds. Scale bars = 5 mm.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.