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.
7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “Dinizia”
Fig. 3. Dinizia jueirana-facao. A in The majestic canopy-emergent genus Dinizia (Leguminosae: Caesalpinioideae), including a new species endemic to the Brazilian state of Espírito Santo
Fig. 3. Dinizia jueirana-facao. A flowering branch and part of a bipinnate leaf; B leaflets at the base of a single pinna; C hermaphrodite flower; D functionally male flower opened to show stamen filaments and suppressed gynoecium development; E calyx opened out, outer surface; F longitudinal section of hermaphrodite flower to show gynoecium; G petal, outer surface; H stamen; J anther; K fruit; L part of a single valve of dehisced fruit with seeds attached; M seed. A – J from Folli 4889 (K), K – M from Folli 4484 (K). DRAWN BY MARGARET TEBBS.
Map 1 in The majestic canopy-emergent genus Dinizia (Leguminosae: Caesalpinioideae), including a new species endemic to the Brazilian state of Espírito Santo
Map 1. Distribution of Dinizia excelsa (black circles) and D. jueirana-facao (black triangle) in Brazil and the Guianas.
Fig. 1. Dinizia jueirana-facao. A in The majestic canopy-emergent genus Dinizia (Leguminosae: Caesalpinioideae), including a new species endemic to the Brazilian state of Espírito Santo
Fig. 1. Dinizia jueirana-facao. A two individual pollen grains; B cluster of pollen in monads. C Dinizia excelsa, pollen a tetrahedral tetrad. Scale bars all 20 μm. SEM IMAGES: HANNAH BANKS.
Fig. 2. Dinizia jueirana-facao. A in The majestic canopy-emergent genus Dinizia (Leguminosae: Caesalpinioideae), including a new species endemic to the Brazilian state of Espírito Santo
Fig. 2. Dinizia jueirana-facao. A part of a compound inflorescence; B part of crown of type specimen; C trunk of type specimen; D dehisced fruits. PHOTOS: A, C DOMINGOS A. FOLLI, B, D G. P. LEWIS.
Fig. 4 in The majestic canopy-emergent genus Dinizia (Leguminosae: Caesalpinioideae), including a new species endemic to the Brazilian state of Espírito Santo
Fig. 4. Dinizia jueirana-facao, type specimen. PHOTO: G. P. LEWIS.
SNP dataset for the threatened plant species Dinizia jueirana-facao (Fabaceae)
<p>By performing sensitivity analyses, we empirically investigated how decisions about the percentage of missing data (MD) and the minor allele frequency (MAF) set in bioinformatic processing of genomic data affect direct (i.e., parentage analysis) and indirect (i.e., fine-scale spatial genetic structure - SGS) gene flow estimates. We focus specification on these manifestations in small plant populations, and specifically, in the rare tropical plant species <i>Dinizia jueirana-facao</i>, where assumptions implicit to analytical procedures for accurate estimates of gene flow may not hold. Avoiding biases in dispersal estimates are essential given this species is facing extinction risks due to habitat loss, and so we also investigate the effects of forest fragmentation on the accuracy of dispersal estimates under different filtering criteria by testing for recent decrease in the scale of gene flow. Our sensitivity analyses demonstrate that gene flow estimates are robust to different setting of MAF (0.05 to 0.35) and MD (0 to 20%). Comparing the direct and indirect estimates of dispersal, we find that contemporary estimates of gene dispersal distance (<i>σ<sub>r</sub></i><sub>t</sub> = 41.8 m) was ~ fourfold smaller than the historical estimates, supporting the hypothesis of a temporal shift in the scale of gene flow in <i>D. jueirana-facao</i>, which is consistent with predictions based on recent, dramatic forest fragmentation process. While we identified settings for filtering genomic data to avoid biases in gene flow estimates, we stress that there is no 'rule of thumb' for bioinformatic filtering or that relying on default program settings is advisable. Instead, we suggest that the approach implemented here be applied independently in each separate empirical study to confirm appropriate settings to obtain unbiased population genetics estimates.</p>
SNP dataset for the threatened plant species Dinizia jueirana-facao (Fabaceae)
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.