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.
12
datasets available to search
ShareScore release 0.9.0
Dataset results
12 results for “Forest Enclaves”
Figure 4 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 4. Male specimens of Celeus ochraceus (MCNA 5057) from the study area (above) and Celeus flavescens (MCNA 552) from Fazenda Canabrava, Augusto de Lima, Minas Gerais (below).
Figure 6 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 6. From left to right: specimens of Lepidocolaptes squamatus from Pedra Bonita, Minas Gerais (MCNA 4079), Morro do Pilar, Minas Gerais (MCNA 4480); and specimens of Lepidocolaptes cf. squamatus from Curral de Pedras, Minas Gerais (MCNA 4978, MCNA 5237) in frontal (A) and ventral (B) views.
Figure 3 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 3. Tails of three female specimens of Campylopterus calcirupicola (from left to right: MCNA 4977, MCNA 5050, MCNA 5190) from Curral de Pedras, Minas Gerais, Brazil.
Figure 2 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 2. Species rarefaction curve (continuous line) and estimation curve using the Chao1 estimator (dashed line) for the avifauna of Curral de Pedras, Minas Gerais, southeastern Brazil, using 226 MacKinnon lists.
Figure 5 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 5. From left to right: specimens of Sittasomus griseicapillus sylviellus from Santa Teresa, Espírito Santo (DZUFMG 630), Mariana, Minas Gerais (MCNA 1406), Santa Bárbara, Minas Gerais (MCNA 4147), Curral de Pedras, Minas Gerais (MCNA 4970, MCNA 4981, MCNA 5052); and specimens of Sittasomus griseicapillus reiseri from Janaúba, Minas Gerais (DZUFMG 3428), and Riacho dos Machados, Minas Gerais (MCNA 2523).
Figure 7 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 7. From left to right: specimens of Xiphocolaptes albicollis albicollis fromTrês Rios, Rio de Janeiro (MCNA 2061); intermediate specimens between X. a. bahiae and X. a. albicollis from Conceição do Mato Dentro, Minas Gerais (MCNA 2903) and Mariana, Minas Gerais (DZUFMG 6536); and specimens of X. a. bahiae from Curral de Pedras, Minas Gerais (MCNA 5203, MCNA 5204) in lateral (A) and dorsal (B) views.
Figure 1 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 1. Map of the study area in South America (black dot) in the Cerrado biogeographic province and its position in relation to the Caatinga and the Chaco biogeographic provinces (A); detail of the study area at Curral de Pedras with tracks of the sampled trails (white lines) (B).
Disentangling the contemporary and historical effects of landscape on population genomic variation of two bird species restricted to the highland forest enclaves of northeastern Brazil
<p class="MsoNormal"><span>Investigating the impact of landscape features on patterns of genetic variation is crucial to understand spatially dependent evolutionary processes. Here, we assess the population genomic variation of two bird species (<em>Conopophaga cearae</em> and <em>Sclerurus cearensis</em>) through the Caatinga moist forest enclaves in northeastern Brazil. To infer the evolutionary dynamics of bird populations through the Late Quaternary, we used genome-wide polymorphism data obtained from double-digestion restriction-site-associated DNA sequencing (ddRADseq), and integrated population structure analyses, historical demography models, paleodistribution modeling, and landscape genetics analyses. We found the population differentiation among enclaves to be significantly related to the geographic distance and historical resistance across the rugged landscape. The climate changes at the end of the Pleistocene to the Holocene likely triggered synchronic population decline in all enclaves for both species. Our findings revealed that both geographic distance and historical connectivity through highlands are important factors that can explain the current patterns of genetic variation. Our results further suggest that levels of population differentiation and connectivity cannot be explained purely on the basis of contemporary environmental conditions. By combining historical demographic analyses and niche modeling predictions in a historical framework, we provide strong evidence that climate fluctuations of the Quaternary promoted population differentiation and a high degree of temporal synchrony among population size changes in both species.</span></p>
FIGURE 2 in A new species of Mucor (Mucoromycotina, Mucorales) isolated from an enclave of Upland Atlantic Forest in the semi-arid region of Brazil
FIGURE 2. Phylogenetic tree of Mucoraceae constructed using the large subunit (LSU) rDNA sequences. Mortierella parvispora, Backusella lamprospora, B. grandis, Rhizopus microsporus, and Actinomucor elegans were used as outgroups. Sequences are labeled with their database accession numbers. Support values are from Bayesian inference and maximum likelihood analyses (values above and below the branches, respectively). The sequences obtained in this study are in boldface.
FIGURE 3 in A new species of Mucor (Mucoromycotina, Mucorales) isolated from an enclave of Upland Atlantic Forest in the semi-arid region of Brazil
FIGURE 3. Mucor septatum (holotype). A–D: branched multiseptate (arrows) sporangiophores; E–F: Unbranched multiseptate sporangiophores and columella; G: Unbranched septate sporangiophore with sporangium; H: sporangiospores.
FIGURE 1 in A new species of Mucor (Mucoromycotina, Mucorales) isolated from an enclave of Upland Atlantic Forest in the semi-arid region of Brazil
FIGURE 1. Phylogenetic tree of Mucor septatum and related species constructed using the ITS rDNA sequences. Mucor amphibiorum was used as an outgroup. Sequences are labeled with their database accession numbers. Support values are from Bayesian inference and maximum likelihood analyses (values above and below the branches, respectively). The sequences obtained in this study are in boldface.
Disentangling the contemporary and historical effects of landscape on population genomic variation of two bird species restricted to the highland forest enclaves of northeastern Brazil
Open the record for dataset details and reuse information.
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.