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.
155
datasets available to search
ShareScore release 0.7.1
Dataset results
155 results for “Range Structure”
A meta-analysis of butterfly structural colors: their color range, distribution, and biological production
<p><span>Butterfly scales are among the richest natural sources of optical nanostructures, which produce structural color and iridescence. Several recurring nanostructure types have been described, such as ridge multilayers, gyroids, and lower lamina thin films. While the optical mechanisms of these nanostructure classes are known, their phylogenetic distributions and functional ranges have not been described in detail. In this Review, we examine a century of research on the biological production of structural colors, including their evolution, development, and genetic regulation. We also create a database of more than 300 optical nanostructures in butterflies and conduct a meta-analysis of the color range, abundance, and phylogenetic distribution of each nanostructure class. Butterfly structural colors are ubiquitous in short wavelengths but extremely rare in long wavelengths, especially red. In particular, blue wavelengths (around 450 nm) occur in more clades and are produced by more kinds of nanostructures than other hues. Nanostructure categories differ in prevalence, phylogenetic distribution, color range, and brightness. For example, lamina thin films are the least bright; perforated lumen multilayers occur most often but are almost entirely restricted to the family Lycaenidae; and 3D photonic crystals, including gyroids, have the narrowest wavelength range (from about 450 to 550 nm). We discuss the implications of these patterns in terms of nanostructure evolution, physical constraint, and relationships to pigmentary color. Finally, we highlight opportunities for future research, such as analyses of subadult and Hesperid structural colors and the identification of genes that directly build the nanostructures, with relevance for biomimetic engineering.</span></p>
Data from: Complex population genetic structure of the bark beetle predator Thanasimus formicarius L. (Coleoptera: Cleridae) across its European range
Open the record for dataset details and reuse information.
A meta-analysis of butterfly structural colors: their color range, distribution, and biological production
Open the record for dataset details and reuse information.
Data from: Seascape genomics of red abalone: Limited range-wide population structure and evidence for local adaptation
Open the record for dataset details and reuse information.
SGS-LTER Genetic Structure of Metapopulation of Black-Tailed Prairie Dogs on the Central Plains Experimental Range and Pawnee National Grassland in Nunn, Colorado, USA 1997-1998
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83465. Thirteen colonies of black-tailed prairie dogs were studied within a 264-km2 area of the Central Plains Experimental Range and the Pawnee National Grasslands in Weld County, Colorado. Tissue Collection, DNA Extraction, and microsatellite genotype scoring was performed.
SGS-LTER Long-Term Monitoring Project: Vegetation Structure on Small Mammal Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1999 -2006, ARS Study Number 118
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83458. The abundance and diversity of small mammals in shortgrass steppe is strongly influenced by the structure and composition of vegetation. Vegetation structure provides cover from predators and harsh abiotic conditions. Plant species composition affects the types of seeds and herbaceous material available to granivores and herbivores, and influences arthropod populations, which are important prey for the omnivorous species that dominate in shortgrass steppe. Both vegetation structure and plant community composition are sensitive to the availability of precipitation as well as the activity of large mammalian herbivores. In 1999, we began measuring vegetation structure and plant community composition on the three grassland and three shrubland trapping webs where we live-trap small mammals. Vegetation measurements are made once each year, usually in mid-July. Percent canopy cover of each plant species was estimated visually in 30 0.10-m2 Daubenmire quadrats on each web. To estimate habitat structure, we measured the height of grass, forb and shrub plants adjacent to each quadrat, the density of half-shrubs, small mammal mounds and burrows, harvester ant mounds and the dimension
Data from: The contribution of hybridization to range‐wide population genetic structure in a Pacific coastal dune plant
<p>Premise of the study: Interspecific hybridization can cause genetic structure across species ranges if the mating system and degree of sympatry/parapatry with close relatives varies geographically. The coastal dune endemic <em>Camissoniopsis cheiranthifolia</em> (Onagraceae) exhibits genetic subdivisions across its range, some of which are associated with shifts in mating system from outcrossing to selfing, while others are not. For instance, strong differentiation between large-flowered, self-incompatible (LF-SI) and large-flowered, self-compatible (LF-SC) populations occurs without much reduction in outcrossing or obvious barriers to gene flow. We hypothesized that LF-SI diverged from LF-SC via hybridization with the predominantly inland SI sister species <em>C. bistort</em>a.</p> <p>Methods: We analyzed spatial proximity using 1460 herbarium records, and genetic variation at 12 microsatellites assayed for 805 and 404 individuals from 32 <em>C. cheiranthifolia</em> and 18 <em>C. bistorta</em> populations, respectively. We also assayed nine chloroplast microsatellites for 124 and 111 individuals from 27 and 19 populations, respectively. </p> <p>Key results: Closer parapatry was associated with unexpectedly high genetic continuity between LF-SI <em>C. cheiranthifolia</em> and <em>C. bistorta</em>. LF-SI genotypes clustered with <em>C. bistorta</em> exclusive of other <em>C. cheiranthifolia</em> genotypes. Similarly, pairwise FST among SI <em>C. cheiranthifolia</em> and <em>C. bistorta</em>, adjusted for geographic proximity, was not higher between heterospecific than conspecific populations. </p> <p>Conclusions: The lack of genetic differentiation between LF-SI <em>C. cheiranthifolia</em> and <em>C. bistorta</em> populations, even those located away from the zone of parapatry, suggests that LF-SI <em>C. cheiranthifolia</em> instead of hybridizing with <em>C. bistorta</em> is rather an ecotype of <em>C. bistorta</em> that has adapted to coastal dune habitat independent of other lineages in <em>C. cheiranthifolia</em> proper.</p>
Data from: Population genomic diversity and structure at the discontinuous southern range of the Great Gray Owl in North America
<p>Species' distributions are often discontinuous near the edge of the range where the environment may be more variable than the core of the range. Range discontinuity can reduce or cut off gene flow to small peripheral populations and lead to genetic drift and subsequent loss of genetic diversity. The southern extent of the Great Gray Owl ( Strixnebulosa) range in North America is discontinuous, unlike their northern core range across the boreal forests. We sampled owls from five different locations on the periphery of the range across the western US (Wyoming, Idaho, California, northern Oregon, and southern Oregon) to investigate genetic population structure and genetic diversity. Using a reduced-representation genomic sequencing approach to genotype 123 individuals at 4,817 single nucleotide polymorphic loci, we identified four genetically differentiated populations: California, southern Oregon, northern Oregon, and Wyoming and Idaho grouped together as a single Rocky Mountain population. The four genetically differentiated populations of Great Gray Owls identified in this study display high differentiation and low genetic variation, which is suggestive of long-term isolation and lack of connectivity, potentially caused by range discontinuity. The populations that lack habitat connectivity to the rest of the breeding range (i.e. those in California and Oregon) had lower genetic diversity than the Rocky Mountain population that is connected to the core of the range. These factors and other risks (such as disease and human-caused mortality) heighten susceptibility of these range-edge populations to future habitat and climate changes, genetic diversity erosion, and potential extinction vortex. For these reasons, protecting and monitoring this species on the southern edge of their range is vital.</p>
Data from: Herbarium specimens reveal a historical shift in phylogeographic structure of common ragweed during native range disturbance
Invasive plants provide ample opportunity to study evolutionary shifts that occur after introduction to novel environments. However, although genetic characters pre-dating introduction can be important determinants of later success, large-scale investigations of historical genetic structure have not been feasible. Common ragweed (Ambrosia artemisiifolia L.) is an invasive weed native to North America that is known for its allergenic pollen. Palynological records from sediment cores indicate that this species was uncommon before European colonization of North America, and ragweed populations expanded rapidly as settlers deforested the landscape on a massive scale, later becoming an aggressive invasive with populations established globally. Toward a direct comparison of genetic structure now and during intense anthropogenic disturbance of the late 19th century, we sampled 45 natural populations of common ragweed across its native range as well as historical herbarium specimens collected up to 140 years ago. Bayesian clustering analyses of 453 modern and 473 historical samples genotyped at three chloroplast spacer regions and six nuclear microsatellite loci reveal that historical ragweed's spatial-genetic structure mirrors both the paleo-record of Ambrosia pollen deposition and the historical pattern of agricultural density across the landscape. Furthermore, for unknown reasons this spatial-genetic pattern has changed substantially in the intervening years. Following on previous work relating morphology and and genetic expression between plants collected from eastern North America and Western Europe, we speculate that the cluster associated with humans' rapid transformation of the landscape is a likely source of these aggressive invasive populations.
Data from: Heat stress conditions affect the social network structure of free‐ranging sheep
<p>Extreme weather conditions, like heatwave events, are becoming more frequent with climate change. Animals often modify their behaviour to cope with environmental changes and extremes. During heat stress conditions, individuals change their spatial behaviour and increase the use of shaded areas to assist with thermoregulation. Here, we suggest that for social species, these behavioural changes and ambient conditions have the potential to influence an individual's position in its social network, and the social network structure as a whole. We investigated whether heat stress conditions (quantified through the temperature humidity index) and the resulting use of shaded areas, influence the social network structure and an individual's connectivity in it. We studied this in free‐ranging sheep in the arid zone of Australia, GPS‐tracking all 48 individuals in a flock. When heat stress conditions worsened, individuals spent more time in the shade and the network was more connected (higher density) and less structured (lower modularity). Furthermore, we then identified the behavioural change that drove the altered network structure and showed that an individual's shade use behaviour affected its social connectivity. Interestingly, individuals with intermediate shade use were most strongly connected (degree, strength, betweenness), indicating their importance for the connectivity of the social network during heat stress conditions. Heat stress conditions, which are predicted to increase in severity and frequency due to climate change, influence resource use within the ecological environment. Importantly, our study shows that these heat stress conditions also affect the animal's social environment through the changed social network structure. Ultimately, this could have further flow on effects for social foraging and individual health since social structure drives information and disease transmission.</p>
Data from: Range-wide genetic analysis of an endangered bumble bee (Bombus affinis) reveals population structure, isolation by distance, and low colony abundance
<p>Declines in bumblebee species ranges and abundances are documented across multiple continents and have prompted the need for research to aid species recovery and conservation. The rusty patched bumblebee (<em>Bombus affinis</em>) is the first federally-listed bumblebee species in North America. We conducted a range-wide population genetics study of <em>B. affinis</em> from across all extant conservation units to inform conservation efforts. To understand the species' vulnerability and help establish recovery targets, we examined population structure, patterns of genetic diversity, and population differentiation. Additionally, we conducted site-level analysis of colony abundance to inform prioritizing areas for conservation, translocation, and other recovery actions. We find substantial evidence of population structuring along an east-to-west gradient. Putative populations show evidence of isolation by distance, high inbreeding coefficients, and a range wide male diploidy rate of ~15%. Our results suggest the Appalachians represents a genetically distinct cluster with high levels of private alleles and substantial differentiation from the rest of the extant range. Site-level analyses suggest low colony abundance estimates for <em>B. affinis</em> compared to similar datasets of stable, co-occurring species. These results lend genetic support to trends from observational studies suggesting B. affinis has undergone a recent decline and exhibits substantial spatial structure. The low colony abundances observed here suggest caution in overinterpreting the stability of populations even where <em>B. affinis</em> is reliably detected interannually. These results help delineate informed management units, provide context for the potential risks of translocation programs, and can help set clear recovery targets for this and other threatened bumblebee species.</p>
Both source and recipient range phylogenetic community structure can predict the outcome of avian introductions
<p>Competing phylogenetic models have been proposed to explain the success of species introduced to other communities. Here, we present a study predicting the establishment success of birds introduced to Florida, Hawaii, and New Zealand using several alternative models, considering species' phylogenetic relatedness to source and recipient range taxa, propagule pressure, and traits. We find consistent support for the predictive ability of source region phylogenetic structure. However, we find that the effects of recipient region phylogenetic structure vary in sign and magnitude depending on inclusion of source region phylogenetic structure, delineation of the recipient species pool, and the use of phylogenetic correction in the models. We argue that tests of alternative phylogenetic hypotheses including the both source and recipient community phylogenetic structure, as well as important covariates such as propagule pressure, are likely to be critical for identifying general phylogenetic patterns in introduction success, predicting future invasions, and for stimulating further exploration of the underlying mechanisms of invasibility.</p>
Genetic structure in the nonbreeding range of rufa Red Knots suggests distinct Arctic breeding populations
<p>An understanding of the migratory connectivity between breeding and nonbreeding areas is fundamental to the management of long-distance migrants under pressure from habitat change along their flyways. Here we describe evidence for genetic structure within the nonbreeding range of the endangered Arctic-Canadian rufa subspecies of Red Knots (Calidris canutus). Using blood and tissue samples from the major nonbreeding regions in Argentina (Tierra del Fuego and Río Negro), northern Brazil (Maranhão), and southeastern USA (Florida), we estimated genetic structure in 514 amplified fragment length polymorphism (AFLP) loci, applying cluster assignment analyses in DAPC, assignPOP, and STRUCTURE. Using a priori location information, individuals could be correctly re-assigned to their nonbreeding regions, which validated that the assignment accuracy of the data was sufficient. Without using a priori location information, we detected 3–5 genotype clusters, and posterior assignment probabilities of samples to these genotype clusters varied among the three regions. Lastly a chi-square test confirmed that allele frequencies varied significantly among nonbreeding regions, rejecting the hypothesis that samples were drawn from a single gene pool. Our findings hint at undescribed structure within the Red Knot rufa breeding range in the Canadian Arctic and indicate that each rufa nonbreeding area in this study hosts a different subsample of these breeding populations. The observation that nonbreeding sites of rufa Red Knots contain different genetic pools argues for separate conservation management of these sites.</p>
Data for "Structure, short-range order, and phase stability of the Al$_x$CrFeCoNi high-entropy alloy: Insights from a perturbative, DFT-based analysis"
<p>Data associated with "Structure, short-range order, and phase stability of the AlxCrFeCoNi high-entropy alloy: Insights from a perturbative, DFT-based analysis", published in npj Comput. Mater. <strong>10</strong>, 271 (2024).</p>
Fig. 1 in M Or P Ho L O Gi Ca L Va R Iati On An D P Op U Lat Io N Structure Of The Natterjack Toad, Epidalea Calamita, In Northern Part Of The Range In Belarus
Fig. 1. Natterjack toad Epidalea calamita in Belarus.
Electronic Supplement to Structural configuration of the Otates fault (southern Basin-and-Range Province) and its rupture in the 3 May 1887 MW = 7.5 Sonora, Mexico earthquake
<p>Electronic supplement to "Structural configuration of the Otates fault (southern Basin-and-Range Province) and its rupture in the 3 May 1887 MW = 7.5 Sonora, Mexico earthquake" (Seismological Society of America Bulletin, v. 98, no. 6, p. 2879-2893, 2008) with color-coded elevation model, satellite image of major Basin andRange normal faults in the study area, color version of geologic map, and additional photographs.</p> <p>High-resolution files of these figures are also available without restriction from </p> <p>http://www.seismosoc.org/Publications/BSSA_html/bssa_98-6/2008129-esupp/</p>
Anthropogenic pressures drive population genetic structuring across a Critically Endangered lemur species range
<p>Includes initial input landscape surfaces (.acs) and final resistance surfaces (.out) generated during the current study.</p>
Daily ranging and den usage patterns structure fission-fusion dynamics and social associations in spotted hyenas
<p>Environment structure often shapes social interactions. Spatial attractors that draw multiple individuals may play a particularly important role in dispersed groups, where individuals must first encounter one another to interact. We use GPS data recorded simultaneously from five spotted hyenas (<i>Crocuta crocuta</i>) within a single clan to investigate how communal dens and daily ranging patterns shape fission-fusion dynamics (subgroup splits and merges). We introduce a species-general framework for identifying and characterizing dyadic fission-fusion events and describe a taxonomy of ten possible configurations of these events. Applying this framework to the hyena data illuminates the spatiotemporal structure of social interactions within hyenas' daily routines. The most common types of fission-fusion events involve close approaches between individuals, do not involve co-travel together, and occur at the communal den. Comparison to permutation-based reference models suggests that den usage structures broad-scale patterns of social encounters, but that other factors influence how those encounters unfold. We discuss the dual role of communal dens in hyenas as physical and social resources, and suggest that dens are an example of a general "social piggybacking" process whereby environmental attractors take on social importance as reliable places to encounter conspecifics, causing social and spatial processes to become fundamentally intertwined.</p>
Aqueous self-assembly of a wide range of sophorolipid and glucolipid microbial bioamphiphiles (biosurfactants): considerations about the structure-properties relationship
<p><em>Hypothesis</em></p> <p>Sophorolipids are well-known scaled-up microbial glycolipid biosurfactants with strong commercialization potential for their biological origin, mildness compared to classical surfactants. However, their properties are still poorly understood, they cannot be predicted and their behaviour in solution challenges half a century of knowledge generated in the field of surfactant science. By studying forty different types of sophorolipids, this work contributes to better tackle their structure-property relationship and identify which chemical groups in their molecular structure have a critical influence towards their self-assembly properties in water.</p> <p> </p> <p><em>Experiments</em></p> <p>This work explores the self-assembly properties at room temperature of sophorolipids and sophorosides in water using small angle X-ray scattering (SAXS), optical and cryogenic transmission electron microscopy (cryo-TEM). Structural features like the number of sugar headgroups, acetylation, end-chain functional group, (un)saturation, lactonization and length of chain are varied both to rationalize their impact and to understand their effect on the self-assembly.</p> <p> </p> <p><em>Findings</em></p> <p>The number of sugar groups, pH, (un)saturation and lactonization were found to have a critical impact in respect to the sophorolipids self-assembly. The chemical nature of the end-chain functional group and the chain length were found to have a possibly critical impact, depending on the specific type of chemical function (COOH and long chains are critical). Mono- and diacetylation, as well as position of sophorose on the fatty acid (ω, ω-1), are not critical, i.e., do not significantly influence the sophorolipids self-assembly.</p> <p><em>Hypothesis</em></p> <p>Sophorolipids are well-known scaled-up microbial glycolipid biosurfactants with strong commercialization potential for their biological origin, mildness compared to classical surfactants. However, their properties are still poorly understood, they cannot be predicted and their behaviour in solution challenges half a century of knowledge generated in the field of surfactant science. By studying forty different types of sophorolipids, this work contributes to better tackle their structure-property relationship and identify which chemical groups in their molecular structure have a critical influence towards their self-assembly properties in water.</p> <p> </p> <p><em>Experiments</em></p> <p>This work explores the self-assembly properties at room temperature of sophorolipids and sophorosides in water using small angle X-ray scattering (SAXS), optical and cryogenic transmission electron microscopy (cryo-TEM). Structural features like the number of sugar headgroups, acetylation, end-chain functional group, (un)saturation, lactonization and length of chain are varied both to rationalize their impact and to understand their effect on the self-assembly.</p> <p> </p> <p><em>Findings</em></p> <p>The number of sugar groups, pH, (un)saturation and lactonization were found to have a critical impact in respect to the sophorolipids self-assembly. The chemical nature of the end-chain functional group and the chain length were found to have a possibly critical impact, depending on the specific type of chemical function (COOH and long chains are critical). Mono- and diacetylation, as well as position of sophorose on the fatty acid (ω, ω-1), are not critical, i.e., do not significantly influence the sophorolipids self-assembly.</p>
Historic and contemporary biogeographic perspectives on range-wide spatial genetic structure in a widespread seagrass
<p>This raw data set contains multilocus genotypes for 1,312 individual samples from 44 locations.</p> <p>Aim: Historical and contemporary processes drive spatial patterns of genetic diversity. These include climate-driven range shifts and gene flow mediated by biogeographical influences on dispersal. Assessments that integrate these drivers are uncommon, but critical for testing biogeographic hypotheses. Here, we characterise intraspecific genetic diversity and its spatial structure across the entire distribution of a temperate seagrass to test marine biogeographic concepts for southern Australia.</p> <p>Location: Temperate Australian coastal waters</p> <p>Methods: Predictive modelling was used to contrast the current <em>Posidonia australis</em> distribution to its historical distribution during the Last Glacial Maximum (LGM). Spatial genetic structure was estimated for 44 sampled meadows from across the geographical range of the species using nine microsatellite loci. </p> <p>Results: Historical and contemporary distributions were similar, with the exception of the Bass Strait. Genetic clustering was consistent with the three currently recognised biogeographic provinces and largely consistent with the finer-scale <span>IMCRA </span>bioregions. Discrepancies were found within the Flindersian province and southwest IMCRA bioregion, while two regions of admixture coincided with transitional bioregions. Clonal diversity was highly variable, but positively associated with latitude. Genetic differentiation among meadows was significantly associated with oceanographic distance.</p> <p>Main conclusions: Our approach suggests how shared seascape drivers have influenced the capacity of <em>P. australis</em> to effectively track sea level changes associated with natural climate cycles over millennia, <span>and in particular, the recolonisation of meadows across the Continental Shelf following the LGM</span>. Genetic structure associated with IMCRA bioregions reflects the presence of stable biogeographic barriers, such as oceanic upwellings. This study highlights the importance of biogeography to infer the role of historical drivers in shaping extant diversity and structure. </p>
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.