Skip to main content
Powered by ShareScore

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.

676

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

676 results for “Manis”

Learn how ShareScore rates datasets ↗
zenodo32/100

Modeling of thin liquid films with arbitrary many layers -- Data

<p>Data for publication Modeling of thin liquid films with arbitrary many layers by Tilman Richter, Paolo Malgaretti, and Jens Harting. Contains Data, Graphics and a julia Pluto notebook for data analysis and plot generation.&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Dataset for "Constructing many-body dissipative particle dynamics models of fluids from bottom-up coarse-graining"

<ul> <li>The trajectory files used for processing time correlation functions, as reported in the original paper, are provided here.</li> <li>The analysis tools can be found in the following GitHub repository: <a href="https://github.com/jaehyeokjin/ManyBodyDPD/tree/main/Time-Correlation" target="_new" rel="noopener">ManyBodyDPD/Time-Correlation</a>. These tools are designed to work with the two trajectory files included in this repository.</li> </ul>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Many-Body Models for Chirality-Induced Spin Selectivity in Electron Transfer. Open data set

<p>Data supporting the original figures 1, 2, 3 and 4 of the related publication.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Figure 3 in Drivers of Indian pangolin (Manis crassicaudata) mortality in Central and Western Pakistan

Figure 3: PCA plot showing factors that are responsible for the mortality of Indian pangolin in Punjab.

opennotspecifiedApr 2024View details →
zenodo32/100

Plate 1 in Drivers of Indian pangolin (Manis crassicaudata) mortality in Central and Western Pakistan

Plate 1: Microscopic picture of Amblyomma javanense that were present in the scales of Indian pangolin.

opennotspecifiedApr 2024View details →
zenodo32/100

Figure 6 in Drivers of Indian pangolin (Manis crassicaudata) mortality in Central and Western Pakistan

Figure 6: Details of social media accounts that were used to collect information about Indian pangolin.

opennotspecifiedApr 2024View details →
dryad32/100

Data from: The many dimensions of diet breadth: phytochemical, genetic, behavioral, and physiological perspectives on the interaction between a native herbivore and an exotic host

From the perspective of an herbivorous insect, conspecific host plants are not identical, and intraspecific variation in host nutritional quality or defensive capacity might mediate spatially variable outcomes in plant-insect interactions. Here we explore this possibility in the context of an ongoing host breadth expansion of a native butterfly (the Melissa blue, Lycaeides melissa) onto an exotic host plant (alfalfa, Medicago sativa). We examine variation among seven alfalfa populations that differed in terms of colonization by L. melissa; specifically, we examined variation in phytochemistry, foliar protein, and plant population genetic structure, as well as responses of caterpillars and adult butterflies to foliage from the same populations. Regional patterns of alfalfa colonization by L. melissa were well predicted by phytochemical variation, and colonized patches of alfalfa showed a similar level of inter-individual phytochemical diversity. However, phytochemical variation was a poor predictor of larval performance, despite the fact that survival and weight gain differed dramatically among caterpillars reared on plants from different alfalfa populations. Moreover, we observed a mismatch between alfalfa supporting the best larval performance and alfalfa favored by ovipositing females. Thus, the axes of plant variation that mediate interactions with L. melissa depend upon herbivore life history stage, which raises important issues for our understanding of adaptation to novel resources by an organism with a complex life history.

opencc-zeroDec 2015View details →
dryad32/100

Data from: High species diversity and turnover in granite inselberg floras highlight the need for a conservation strategy protecting many outcrops

Determining patterns of plant diversity on granite inselbergs is an important task for conservation biogeography due to mounting threats. However, beyond the tropics there are relatively few quantitative studies of floristic diversity, or consideration of these patterns and their environmental, biogeographic and historical correlates for conservation. We sought to contribute broader understanding of global patterns of species diversity on granite inselbergs and inform biodiversity conservation in the globally significant Southwest Australian Floristic Region (SWAFR). We surveyed floristics from 16 inselbergs (478 plots) across the climate gradient of the SWAFR stratified into three major habitats on each outcrop. We recorded 1060 species from 92 families. At the plot level, local soil and topographic variables affecting aridity were correlated with species richness in herbaceous (HO) and woody vegetation (WO) of soil-filled depressions, but not in woody vegetation on deeper soils at the base of outcrops (WOB). At the outcrop level, bioclimatic variables affecting aridity were correlated with species richness in two habitats (WO and WOB) but, contrary to predictions from island biogeography, were not correlated with inselberg area and isolation in any of the three habitats. Species turnover in each of the three habitats was also influenced by aridity, being correlated with bioclimatic variables and with inter-plot geographic distance, and for HO and WO habitats with local site variables. At the outcrop level, species replacement was the dominant component of species turnover in each of the three habitats, consistent with expectations for long-term stable landscapes. Our results therefore highlight high species diversity and turnover associated with granite outcrop flora. Hence, effective conservation strategies will need to focus on protecting multiple inselbergs across the entire climate gradient of the region.

opencc-zeroDec 2018View details →
dryad32/100

Data from: Genetic drift and selection in many-allele range expansions

We experimentally and numerically investigate the evolutionary dynamics of four competing strains of E. coli with differing expansion velocities in radially expanding colonies. We compare experimental measurements of the average fraction, correlation functions between strains, and the relative rates of genetic domain wall annihilations and coalescences to simulations modeling the population as a one-dimensional ring of annihilating and coalescing random walkers with deterministic biases due to selection. The simulations reveal that the evolutionary dynamics can be collapsed onto master curves governed by three essential parameters: (1) an expansion length beyond which selection dominates over genetic drift; (2) a characteristic angular correlation describing the size of genetic domains; and (3) a dimensionless constant quantifying the interplay between a colony's curvature at the frontier and its selection length scale. We measure these parameters with a new technique that precisely measures small selective differences between spatially competing strains and show that our simulations accurately predict the dynamics without additional fitting. Our results suggest that the random walk model can act as a useful predictive tool for describing the evolutionary dynamics of range expansions composed of an arbitrary number of genotypes with different fitnesses.

opencc-zeroDec 2016View details →
dryad32/100

Data from: Which species, how many, and from where: Integrating habitat suitability, population genomics, and abundance estimates into species reintroduction planning

Extirpated organisms are reintroduced into their former ranges worldwide to combat species declines and biodiversity losses. The growing field of reintroduction biology provides guiding principles for reestablishing populations, though criticisms remain regarding limited integration of initial planning, modeling frameworks, interdisciplinary collaborations, and multi-species approaches. We used an interdisciplinary, multi-species, quantitative framework to plan reintroductions of three fish species into Abrams Creek, Great Smoky Mountains National Park, USA. We first assessed the appropriateness of habitat at reintroduction sites for banded sculpin (Cottus carolinae), greenside darter (Etheostoma blennioides), and mottled sculpin (Cottus bairdii) using species distribution modeling. Next, we evaluated the relative suitability of nine potential source stock sites using population genomics, abundance estimates, and multiple-criteria decision analysis (MCDA) based on known correlates of reintroduction success. Species distribution modeling identified mottled sculpin as a poor candidate, but banded sculpin and greenside darter as suitable candidates for reintroduction based on species-habitat relationships and habitats available in Abrams Creek. Genotyping by sequencing revealed acceptable levels of genetic diversity at all candidate source stock sites, identified population clusters, and allowed for estimating the number of fish that should be included in translocations. Finally, MCDA highlighted priorities among candidate source stock sites that were most likely to yield successful reintroductions based on differential weightings of habitat assessment, population genomics, and the number of fish available for translocation. Our integrative approach represents a unification of multiple recent advancements in the field of reintroduction biology and highlights the benefit of shifting away from simply choosing nearby populations for translocation to an information-based science with strong a priori planning coupled with several suggested posteriori monitoring objectives. Our framework can be applied to optimize reintroduction successes for a multitude of organisms and advances the science of reintroduction biology by simultaneously addressing a variety of past criticisms of the field.

opencc-zeroDec 2017View details →
zenodo32/100

Figure 4 in How many species are there of Pachyiulus? A contribution to the taxonomy of Europe's largest millipedes (Diplopoda: Julida: Julidae)

Figure 4. Claws of midbody legs. (A) Pachyiulus flavipes, (B) Pachyiulus oenologus. The arrow points at the accessory claw. Scales 0.1 mm.

opennotspecifiedMar 2012View details →
zenodo32/100

Figure 2 in How many species are there of Pachyiulus? A contribution to the taxonomy of Europe's largest millipedes (Diplopoda: Julida: Julidae)

Figure 2. Relationship between diameter and length of individual midbody body rings of Pachyiulus oenologus from Amalfi and Pachyiulus flavipes from San Cataldo.

opennotspecifiedMar 2012View details →
zenodo32/100

Figure 1 in How many species are there of Pachyiulus? A contribution to the taxonomy of Europe's largest millipedes (Diplopoda: Julida: Julidae)

Figure 1. Relationship between number of podous body rings and body diameter in the studied adult and subadult material of Pachyiulus oenologus and Pachyiulus varius. Top: males, bottom: females.

opennotspecifiedMar 2012View details →
zenodo32/100

FIG. 1 in Ophicardelus (Mollusca, Pulmonata) in eastern Australia: how many taxa?

FIG. 1. Shell variables measured for the discriminant function analysis. ah, aperture height; aw, aperture width; bw, height to first whorl; sh, shell height; sw, shell width.

opennotspecifiedSep 2004View details →
zenodo32/100

FIG. 6 in Ophicardelus (Mollusca, Pulmonata) in eastern Australia: how many taxa?

FIG. 6. Shells. (A, B) Ophicardelus ornatus; (C, D) Ophicardelus quoyi; (E, F) Ophicardelus sulcatus; (G, H) Cassidula zonata. Scale bar: 5 mm.

opennotspecifiedSep 2004View details →
zenodo32/100

FIG. 3 in Ophicardelus (Mollusca, Pulmonata) in eastern Australia: how many taxa?

FIG. 3. Canonical scores plots for the discriminant function analyses from three different localities. (A) Ophicardelus ornatus, raw data; (B) Ophicardelus ornatus, data standardized for shell length; (C) Ophicardelus quoyi, raw data; (D) Ophicardelus quoyi, data standardized for shell length; (E) Ophicardelus sulcatus, raw data; (F) Ophicardelus sulcatus, data standardized for shell length.

opennotspecifiedSep 2004View details →
zenodo32/100

Figure 5 in How many species of Hipposideros have occurred on Madagascar since the Late Pleistocene?

Figure 5. Principal components analysis plots of: A, seven subfossil dental measurements (lower teeth data set) and B, three subfossil dental measurements (upper teeth data set) for extant Malagasy Hipposideros specimens and extinct Hipposideros besaoka specimens. Holotype of Hipposideros cryptovalorona sp. nov. (clade A, FMNH 175970) and neotype of Hipposideros commersoni (clade B, FMNH 175972), both obtained from Sahanafa, are labelled accordingly. Information on component loadings is presented in Table 7. Abbreviations: B, clade B females; Bm, clade B males; Bs, clade B females from Sahanafa; Bsm, clade B males from Sahanafa; C, clade C females; Hb, H. besaoka.

opennotspecifiedMay 2016View details →
zenodo32/100

Figure 4 in How many species of Hipposideros have occurred on Madagascar since the Late Pleistocene?

Figure 4. Views of mandibles belonging to three different species of Hipposideros that occurred on Madagascar since the Late Pleistocene (from top to bottom): extant Hipposideros cryptovalorona sp. nov. (holotype, FMNH 175970, female), extinct Hipposideros besaoka (UADPAB 9133, sex unknown but perhaps male), and extant Hipposideros commersoni (neotype, FMNH 175972, female). (Photographs taken by J. Weinstein, Field Museum image number Z95243_01d.)

opennotspecifiedMay 2016View details →
zenodo32/100

Figure 7 in How many species of Hipposideros have occurred on Madagascar since the Late Pleistocene?

Figure 7. Different views of skull and mandible of Hipposideros cryptovalorona sp. nov. (FMNH 175970, female), holotype from Province de Fianarantsoa, Parc National de l'Isalo, along Sahanafa River. Dorsal view of cranium (upper row, left), ventral view of cranium (upper row, right), and lateral view of cranium and mandible (lower row). (Photographs taken by J. Weinstein, Field Museum image number Z95238_06d.)

opennotspecifiedMay 2016View details →
zenodo32/100

Figure 3 in How many species of Hipposideros have occurred on Madagascar since the Late Pleistocene?

Figure 3. Principal components analysis plots of: A, 12 craniodental measurements and B, five external measurements for genotyped Malagasy Hipposideros female specimens. Clade B specimens from Sahanafa are shown as shaded squares with black outlines (clade Bs). Holotype of Hipposideros cryptovalorona sp. nov. (clade A, FMNH 175970) and neotype of Hipposideros commersoni (clade B, FMNH 175972), both obtained from Sahanafa, are labelled accordingly. Information on component loadings is presented in Table 5.

opennotspecifiedMay 2016View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record