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.
854
datasets available to search
ShareScore release 0.9.0
Dataset results
854 results for “Disparity”
Fig. 3 in Comparative analysis of morphospace of Neotropical Sericini (Coleoptera: Scarabaeidae): disparity in the light of species diversity and activity patterns
Fig. 3 Boxplots for selected genera of the total body length (in mm), of the ratio maximal body width/ maximal elytra length (EL), of the ratio metatibial length/maximal metatibial width, of the ratio maxi-
Fig. 4 in Comparative analysis of morphospace of Neotropical Sericini (Coleoptera: Scarabaeidae): disparity in the light of species diversity and activity patterns
Fig. 4 Patterns of disparity derived from morphospace: plots of PC 1 and 2 A raw data (all); B raw data (BL excluded), C log-normalized data (all); D log-normalized data (BL excluded)
Fig. 2 in Comparative analysis of morphospace of Neotropical Sericini (Coleoptera: Scarabaeidae): disparity in the light of species diversity and activity patterns
Fig. 2 Illustration of potential trait correlation: A elytral length vs total body length, B maximum body width vs. vs total body length, C maximum body width vs. elytral length, D size of eyes (i.e., maximum ratio ocular diameter/minimum interocular distance) vs maxi-
Integrated Omics-Based Discovery of Novel Genes, Secondary Metabolites Clusters, and Small Molecules in Penicillium spp. with Disparate Fungal Isolates
<p><em><span>Penicillium expansum</span></em><span> is a ubiquitous postharvest pathogen of pome fruit that causes blue mold decay of apple fruit while another member of the genus, <em>P. chrysogenum</em><span>,</span><em> </em>is a well-studied saprophyte used for antibiotic and small molecule production. While these two fungi have been investigated individually, the recent discovery of <em>P. chrysogenum </em>hindering <em>P. expansum</em> apple fruit infection has not been well studied. To shed light on this interaction between the two species, we conducted a comparative transcriptomic, metabolomic, and genomic study. Global transcriptional and metabolomic outputs were disparate between the species, nearly identical for the <em>P. chrysogenum </em>isolates, and different between <em>P. expansum </em>isolates. Further, the two <em>P. chrysogenum</em> genomes revealed secondary metabolite gene clusters that differed from <em>P. expansum</em>. This included the absence of an intact patulin gene cluster in <em>P. chrysogenum</em>, which corroborates the metabolomic data regarding the species’ inability to produce patulin. Additionally, <em>P. expansum </em>virulence gene homologues were identified in <em>P. chrysogenum </em>and were similarly transcriptionally regulated <em>in vitro</em>. Molecules with potential antimicrobial activity, and phytohormones like indole-3-acetic acid (IAA), were detected for the first time in <em>P. expansum</em> while pharmacological compounds like the well-studied antibiotic penicillin G were identified in <em>P. chrysogenum</em> culture supernatants. Our findings provide new omics-based resources that enable the study of small molecule production of interest, the potential of <em>Penicillium</em>-derived antimicrobials for postharvest decay control, and <em>P.</em> <em>expansum’s</em> metabolites roles in host-pathogen interactions. </span></p>
Data from: Phylogenetic sampling affects evolutionary patterns of morphological disparity
<p>Cladistic character matrices are routinely repurposed in analyses of morphological disparity. Unfortunately, the sampling of taxa and characters within such datasets reflects their intended application - to resolve phylogeny, rather than distinguish between phenotypes - resulting in tree shapes that often misrepresent broader taxonomic and morphological diversity. Here we use tree shape as a proxy to explore how sampling can affect perceptions of evolving morphological disparity. Through analyses of simulated and empirical data, we demonstrate that sampling can introduce biases in trait space occupation between clades that are predicted by differences in tree symmetry and branch length distribution. Symmetrical trees with relatively long internal branches predict more expansive patterns of trait space occupation. Conversely, asymmetrical trees with relatively short internal branches predict more compact distributions. Additionally, we find that long external branches predict greater phenotypic divergence by peripheral morphotypes. Taken together, our results caution against the uncritical repurposing of cladistic datasets in disparity analyses. However, they also demonstrate that when morphological diversity is proportionately sampled, differences in tree shape between clades can speak to genuine differences in morphospace occupation. While cladistic datasets may serve as a useful starting point, disparity datasets must attempt to achieve uniformity of lineage sampling across time and topology. Only when all potential sources of bias are accounted for can genuine evolutionary phenomena be distinguished from artefactual signals. It must be accepted that the non-uniformity of the fossil record may preclude representative sampling and, therefore, a faithful characterization of the evolution of morphological disparity.</p>
Abb. 26-29 in Carabidae (Coleoptera) associated with gypsy moth, Lymantria dispar (L.) (Lepidoptera: Lymantriidae), populations subjected to Bacillus thuringiensis Berliner treatments in Pennsylvania.
Abb. 26-29: Chorebus transversus (NIXON) (26) Kopf, Mesosoma und Metasoma mit Vorder- und Hinterflügel lateral, (27) Basis eines Fühlers, (28) Mandibel, (29) Metasoma dorsal.
Abb. 23-25 in Carabidae (Coleoptera) associated with gypsy moth, Lymantria dispar (L.) (Lepidoptera: Lymantriidae), populations subjected to Bacillus thuringiensis Berliner treatments in Pennsylvania.
Abb. 23-25: Chorebus iphias (NIXON) (23) Kopf und Mesosoma lateral, (24) Mandibel, (25) Vorderflügel.
Abb. 20-22 in Carabidae (Coleoptera) associated with gypsy moth, Lymantria dispar (L.) (Lepidoptera: Lymantriidae), populations subjected to Bacillus thuringiensis Berliner treatments in Pennsylvania.
Abb. 20-22: Lepton pajori nov.sp. (20) Mesosoma und Metasoma mit Vorder- und Hinterflügel lateral, (21) Mandibel, (22) Hinterbein.
Abb. 17-19 in Carabidae (Coleoptera) associated with gypsy moth, Lymantria dispar (L.) (Lepidoptera: Lymantriidae), populations subjected to Bacillus thuringiensis Berliner treatments in Pennsylvania.
Abb. 17-19: Lepton maehongsonensis nov.sp. (17) Kopf dorsal, (18) Mesopleurum und Metapleurum, (19) Vorder- und Hinterflügel.
Abb. 14-16 in Carabidae (Coleoptera) associated with gypsy moth, Lymantria dispar (L.) (Lepidoptera: Lymantriidae), populations subjected to Bacillus thuringiensis Berliner treatments in Pennsylvania.
Abb. 14-16: Lepton lusakaensis nov.sp. (14) Kopf, Mesosoma und Metasoma lateral, (15) Hinterbein, (16) Vorder- und Hinterflügel.
Abb. 9-13 in Carabidae (Coleoptera) associated with gypsy moth, Lymantria dispar (L.) (Lepidoptera: Lymantriidae), populations subjected to Bacillus thuringiensis Berliner treatments in Pennsylvania.
Abb. 9-13: Coelalysia zambiae nov.sp. (9) Basis eines Fühlers, (10) Mandibel, (11) Hinterbein, (12) Metascutum bis T1 dorsal, (13) Metasoma lateral.
Abb. 5-8 in Carabidae (Coleoptera) associated with gypsy moth, Lymantria dispar (L.) (Lepidoptera: Lymantriidae), populations subjected to Bacillus thuringiensis Berliner treatments in Pennsylvania.
Abb. 5-8: Coelalysia tanzaniae nov.sp. (5) Basis und Mitte eines Fühlers, (6) Hinterbein, (7) Propodeum und T1, (8) Vorder- und Hinterflügel.
Abb. 1-4 in Carabidae (Coleoptera) associated with gypsy moth, Lymantria dispar (L.) (Lepidoptera: Lymantriidae), populations subjected to Bacillus thuringiensis Berliner treatments in Pennsylvania.
Abb. 1-4: Coelalysia nigricapite nov.sp. (1) Seite des Pronotum und Mesopleurum lateral, (2) Praescutellarfurche, Scutellum und Postaxillae, (3) Metascutum bis T1 dorsal, (4) Vorder- und Hinterflügel.
Rising Environmental Inequalities and Their Relationship to Racial and Socioeconomic Disparities in the US Southwest
<p><em><strong>Note: These datasets are part of our research, which was published in Environmental Science & Technology. </strong></em></p> <p><em>Please cite this paper when you use these datasets:</em></p> <p><strong><em>Yuanhui Zhu, Soe W. Myint, Danica Schaffer-Smith, Daoqin Tong, Yuyu Zhou, Yubin Li, and Rebecca L. Muenich. </em>Rising Environmental Inequalities and Their Relationship to Racial and Socioeconomic Disparities in the US Southwest, 2025, <em>Environmental Science & Technology. <a title="DOI URL" href="https://doi.org/10.1021/acs.est.4c14369">https://doi.org/10.1021/acs.est.4c14369</a></em></strong></p> <p><em><strong>For any questions or concerns, contact Yuanhui Zhu at <a href="mailto:jta90@txstate.edu">jta90@txstate.edu</a></strong></em></p> <p> </p> <p>This study aims to provide insight into the US Southwest social and environmental inequality problems by combining high-resolution ECOSTRESS data, including Land Surface Temperature (LST), Evaporative Stress Index (ESI), and actual Evapotranspiration (ETa) with sociodemographic data at the block group level acquired from US Census. ESI and ETa represent drought and consumptive water use, respectively. Further, disparities of environmental changes over the past two decades in connection with races/ethnicities are explored using Landsat-based LST and ET from 2000 to 2020 across major US Southwest cities in light of global climate changes. We narrow our investigations to the summer months, including June, July, and August, when environmental issues are more pronounced during the day, such as heat-related mortality and morbidity and higher water consumption.</p> <p>This dataset covers major US Southwest cities. The dataset includes social-environmental data at the block level and remotely sensed environmental data. The description for each individual dataset is listed as follows,</p> <p><em><strong>T01(T01_dataset_meta_race_ethnicity_economy_env_southwest.csv)</strong></em>: This dataset provides statistics on race/ethnicity, social economy, and arithmetic mean of environmental variables at the block group level.</p> <p><em><strong>T02</strong></em>: These datasets provide processed environmental data, including Daytime Land Surface Temperature (LST), Actual Evapotranspiration (ETa), and Evaporative Stress Index (ESI) images at 70m resolution.</p> <p><em><strong>T03</strong></em>: These datasets include annual Landsat-based summer LST, and ETa means at 30m resolution from 2000 to 2020. The images of LST and ETa in 2012 are missing because Landsat datasets in 2012 are unavailable. We collected all available Landsat images with cloud cover lower than 75% in the summer from 2000 to 2020 to produce the dataset. The high-resolution (30m) LST and ETa are processed on Google Earth Engine (GEE). There are a total of 8860 scenes (including Landsat 4, 5, 7, and 8) from 2000 to 2020 to cover all major US Southwest urban areas. We also include two sample images of 2020 LST and ETa for demonstration.</p> <p><em><strong>T04</strong></em>: These datasets contain LST and ETa Sen's slope results, which represent the median rate of change of LST and ETa from 2000 to 2020 on an annual basis.</p> <p><em><strong>T05</strong></em>: The boundary of the major US Southwest urban areas</p>
Data from: Morphological disparity and evolutionary rates of cranial and postcranial characters in sloths (Mammalia, Pilosa, Folivora)
<p>Sloth morphological evolution has been widely studied qualitatively, with comparative anatomy and morpho-functional approaches, or through quantitative assessments of morphological variation using morphometrics. Only recently, however, have folivoran morphological disparity and evolutionary rates begun to be evaluated using discrete character data. Nonetheless, patterns of morphological evolution in separate character partitions have not been investigated, neither the relative influence of, on the one hand, phylogeny, and on the other, dietary and locomotory adaptations of sloths. Here we evaluate those patterns using a phylomorphospace approach, quantifying morphological disparity and evolutionary rates, and investigating possible drivers of morphological evolution for cranial and postcranial characters in Folivora. The evolution of the morphology in those partitions is associated with distinct patterns of disparity among clades and ecological groups, even though the two partitions do not differ substantially in overall evolutionary tempo. Historical processes shaped the morphological evolution of sloths more consistently than ecological ones, although changes in postcranial characters also seem to be associated with locomotory adaptations, in which morphological convergences were much more common. We also discuss important methodological trade-offs in investigations of partitioned datasets mostly composed of fossil taxa.</p>
Attitude and CTM predictions for From Tribal Polarization to Socio-Economic Disparities: Exploring the Landscape of Vaccine Hesitancy on Twitter paper
<p>The presented data pertains to predictions of Attitudes and CTM, generated through the application of Machine Learning models. These models have been extensively elucidated in the research paper titled "From Tribal Polarization to Socio-Economic Disparities: Exploring the Landscape of Vaccine Hesitancy on Twitter". The aforementioned data is available to the public.</p>
Cambrian origin but no early burst in functional disparity for Class Bivalvia
<p><span>Both the Cambrian Explosion, more than half a billion years ago, and its Ordovician aftermath some thirty-five million years later, are often framed as episodes of widespread ecological opportunity, but not all clades originating during this interval showed prolific rises in morphological or functional disparity. In a direct analysis of functional disparity, instead of the more commonly used proxy of morphological disparity, we find that ecological functions of Class Bivalvia arose concordantly with and even lagged behind taxonomic diversification, rather than the early-burst pattern expected for clades originating in supposedly open ecological landscapes. Unlike several other clades originating in the Cambrian Explosion, the bivalves' belated acquisition of key anatomical novelties imposed a macroevolutionary lag, and even when those novelties evolved in the Early Ordovician, functional disparity never surpassed taxonomic diversity. Beyond this early period of animal evolution, the founding and subsequent diversification of new major clades and their functions might be expected to follow the pattern of the early bivalves—one where interactions between highly dynamic environmental and biotic landscapes and evolutionary contingencies need not promote prolific functional innovation. </span></p>
Targeting Bias to Reduce Disparities in End of Life Care
ClinicalTrials.gov study NCT05165888. IPD Sharing: YES. Countries: 1. Publications: 35.
Investigating Healthcare Disparities in Vitiligo
ClinicalTrials.gov study NCT06097494. IPD Sharing: YES. Countries: 1. Publications: 1.
Improving Patient-Provider Communication to Reduce Mental Health Disparities
ClinicalTrials.gov study NCT04515771. IPD Sharing: YES. Countries: 1. Publications: 3.
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.