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.
7,274
datasets available to search
ShareScore release 0.7.1
Dataset results
7,274 results for “Comparative studies”
Alternate Results Dataset in Comparative Study of Four Scenarios Measuring Visual Pollution in Intramuros, Manila
<p>Alternate results dataset tabulated in all the methods and procedures done in the study 'Comparative Study of Four Scenarios Measuring Visual Pollution in Intramuros, Manila'.</p>
Comparative Analysis of Anthraquinone and Chalcone Derivatives-Based Virtual Combinatorial Library. A Cheminformatics "Proof-of-Concept" Study
<p>This computational “proof-of-concept” study illustrated the combinatorial approach used to explain how the selected natural products' structures undergo molecular diversity analysis. A virtual combinatorial library (1.6M) based on 20 anthraquinones and 24 chalcones were enumerated. The resulting compounds were optimized to the near drug-likeness properties and the physicochemical descriptors were calculated for all datasets including FDA, Non-FDA, and natural products (NPs) datasets from ZINC 15. UMAP and principal component analysis (PCA) were applied to compare and represent the chemical space coverage of each dataset. Subsequently, the Laplacian score, and Gini coefficient, were applied to delineate feature selection, and selectivity among properties respectively. Finally, we demonstrated the diversity between the datasets by employing Murcko’s, and central scaffolds systems, calculated three fingerprint descriptors, and analyzed their diversity by PCA and self-organizing maps (SOM). The optimized enumeration resulted in 1,610,268 compounds with NP-Likeness, and synthetic feasibility mean scores close to FDA, Non-FDA, and NPs datasets. The overlap between the chemical space of 1.6M was more prominent with NPs. Laplacian score has prioritized NP-likeness and hydrogen bond acceptor properties (1.0 and 0.923) respectively, while the Gini coefficient showed that all properties have selective effects on datasets (0.81 to 0.93). Scaffold and fingerprint diversity indicated that the descending order for the tested datasets was FDA, Non-FDA, NPs, 1.6M. Virtual combinatorial libraries based on NPs can be considered as a source of the combinatorial compound with NP-likeness properties. Furthermore, measuring molecular diversity is supposed to be performed by different methods to allow for comparison and better judgment. </p> <p>This link provides an illustration of the whole virtual combinatorial library using the TMAP algorithm in addition to the complete dataset. TMAP is a recent algorithm applied to visualize ultra-large high-dimensional chemical libraries for structures and physicochemical properties (Probst & Reymond, 2020). This approach creates and distributes intuitive tree representations of big data sets with arbitrary dimensionality in the order of 10<sup>7</sup>.</p> <p><strong>To visualize the whole library of compounds, download the "index(2).rar", then extract the index.html that pop-up in the WinRAR application.</strong></p>
Data from: Exploring hymenopteran parasitoid communities and their hosts: A comparative study of farmland and semi-natural ecotones with focus on pentatomoid bugs and their antagonists
<p>Here, we provide abundance data, the respective R-script and R-readable data files from a small-scale study on hymenopteran parasitoid communities and their hosts, with special focus on pentatomoid bugs and their egg parasitoids. This comparative study was conducted in farmland and semi-natural ecotones from June to September 2020 in South Tyrol, Italy. The fauna was sampled during four sampling events with sweep netting, beat netting, yellow pan traps, Malaise traps and visual inspections. Arthropods were identified to order level, hymenopteran parasitoids to family level, pentatomoid bugs to species level and egg parasitoids of pentatomoids as far as possible to species level. If identification was not possible, pentatomoid parasitoids were left at genus level. The abundance data collected with each survey method were pooled per survey events and survey site.</p>
PERFORMANCE OF MACHINE LEARNING ALGORITHMS FOR LUNG CANCER PREDICTION: A COMPARATIVE STUDY
<p>This study compares the performance of five machine learning algorithms—logistic regression, support vector machines, random forests, gradient boosting, and neural networks—for lung cancer prediction using demographic, lifestyle, and medical data from the UCI Machine Learning Repository. Gradient boosting and random forests achieved the highest accuracy (89% and 87%, respectively) and AUC-ROC scores (0.93 and 0.92), while neural networks reached 90% accuracy but presented interpretability limitations. Key predictors included smoking history, chronic disease, and respiratory symptoms, aligning with established risk factors. Ensemble methods, particularly gradient boosting and random forests, provided an optimal balance of accuracy and interpretability, highlighting their potential for clinical applications in early lung cancer detection.</p>
POTENTIAL ENVIRONMENTAL IMPACTS OF SOLID WASTE MANAGEMENT IN YOGYAKARTA, INDONESIA: A COMPARATIVE STUDY USING LIFE CYCLE ASSESSMENT
<p>Life Cycle Assessment (LCA) serves as a tool to estimate the potential impacts of a waste management system. Sleman Regency needs a scenario of waste management with a lower environmental impact. The present study aims to determine the potential impact of the existing business as usual (BAU) waste management practice in Sleman Regency and compare it with several alternatives to waste management strategies. The LCA method was applied following ISO 14040 and ISO 14044 standards. The impact was assessed using the CML-1A Baseline and ILCD 2011 Midpoint+ methods, along with data from the Ecoinvent database. In the BAU scenario, the impact values observed in every 1 ton of waste managed were Global Warming Potential (GWP) of 4.90E+03 kg CO2 eq, Acidification Potential (ADP) of 2.78E-03 kg SO2 eq, Eutrophication Potential (EP) of 4.92E-02 kg PO4-eq, Human Toxicity Potential (HTP) of 2.06E+01 kg 1.4 DB eq, and Land Use Potential (LUP) of 4.71E+01 kg C deficit. Processing waste into biomass pellets and Refuse Derived Fuel accompanied by waste reduction could decrease the GWP value to 34.04 kg CO2 eq, ADP to 2.96E-06 kg SO2 eq, EP to 7.33E-05 kg PO4-eq, HTP to 3.70E-04 kg 1.4 DB eq, and LUP to 2.11E-03 kg C deficit. The results of waste management with the lowest impact value can serve as a reference for formulating waste management policies in the study area.</p>
How to render species comparable taxonomic units through deep time: A case study on intraspecific osteological variability in extant and extinct lacertid lizards
<p>Generally, the species is considered to be the only naturally occurring taxon. However, species recognized and defined using different species delimitation criteria cannot readily be compared, impacting studies of biodiversity through Deep Time. This comparability issue is particularly marked when comparing extant with extinct species because the only available data for species delimitation in fossils are derived from their preserved morphology, which is generally restricted to osteology in vertebrates. Here, we quantify intraspecific, intrageneric, and intergeneric osteological variability in extant species of lacertid lizards using pairwise dissimilarity scores based on a data set of 253 discrete osteological characters for 99 specimens referred to 24 species. Variability is always significantly lower intraspecifically than between individuals belonging to distinct species of a single genus, which is in turn significantly lower than intergeneric variability. Average values of intraspecific variability and associated standard deviations are consistent (with few exceptions), with an overall average within a species of 0.208 changes per character scored. Application of the same methods to six extinct lacertid species (represented by 40 fossil specimens) revealed that intraspecific osteological variability is inconsistent, which can at least in part be attributed to different researchers having unequal expectations of the skeletal dissimilarity within species units. Such a divergent interpretation of intraspecific and interspecific variability among extant and extinct species reinforces the incomparability of the species unit. Lacertidae is an example where extant species recognized and defined based on a number of delimitation criteria show comparable and consistent intraspecific osteological variability. Here, as well as in equivalent cases, application of those skeletal dissimilarity values to paleontological species delimitation potentially provides a way to ameliorate inconsistencies created by the use of morphology to define species.</p>
Supplementary datasets, data analysis code, and R tutorials for: Phylogenetic analysis of adaptation in comparative physiology and biomechanics: overview and a case study of thermal physiology in treefrogs
<p>Comparative phylogenetic studies of adaptation are uncommon in biomechanics and physiology. Such studies require collecting data from many species, a challenge when data collection is experimentally intensive. Moreover, researchers struggle to employ the most biologically appropriate phylogenetic tools for identifying adaptive evolution. Here, we detail an established but greatly underutilized phylogenetic comparative framework—the Ornstein-Uhlenbeck process—that explicitly models long-term adaptation. We discuss challenges in implementing and interpreting the model, and we outline potential solutions. We demonstrate use of the model through studying the evolution of thermal physiology in treefrogs. Frogs of the family Hylidae have twice colonized the temperate zone from the tropics, and such colonization likely involved a fundamental change in physiology due to colder and more seasonal temperatures. However, which traits changed to allow colonization is unclear. We measured cold-temperature tolerance and characterized thermal performance curves in jumping for twelve species of treefrogs distributed from the Neotropics to temperate North America. We then conducted phylogenetic comparative analyses to examine how tolerances and performance curves evolved and to test whether that evolution was adaptive. We found that tolerance to low temperatures increased with the transition to the temperate zone. In contrast, jumping well at colder temperatures was unrelated to biogeography and thus did not adapt during dispersal. Overall, our paper shows how comparative phylogenetic methods can be leveraged in biomechanics and physiology to test the evolutionary drivers of variation among species.</p>
A dataset of bird assemblages in different successional pathways– a comparative study in hemiboreal mixed forests
<p><strong>Abstract:</strong></p> <p><strong>Context </strong>The most productive forest lands have naturally the richest bird assemblages but tend to be also most intensively managed. Sustainable solutions to this conflict are unclear.</p> <p><strong>Aim </strong>To assess bird assemblages and their successional dynamics in planted Norway spruce (<em>Picea abies </em>L.) stands compared to naturally developing stands.</p> <p><strong>Methods </strong>We mapped breeding bird assemblages in forty 5-ha plots on highly productive soils in Estonia. The plots included sets of naturally regenerated and planted stands, and (as successional endpoints) clear-cuts and old stands.</p> <p><strong>Results </strong>Planted stands had fewer bird species and pairs than naturally regenerated stands; the latter having a species composition resembling late-successional deciduous-dominated stands. Importantly, the species composition in mature spruce plantations converged toward the composition observed in late-successional conifer-dominated stands. Downed dead wood, stand age, deciduous trees, and stock density were the most significant stand characteristics shaping bird assemblages.</p> <p><strong>Conclusion</strong> The habitat value of established spruce plantations can be primarily improved by allowing for some deciduous trees and gaps with deciduous undergrowth. At the landscape scale, the bird diversity of even-aged systems would be enhanced by multi-scale applications of retention forestry – from retention trees to old-growth set-asides.</p> <p> </p> <p> </p> <p>The given dataset includes observations of breeding pairs on all 40 study plots with different management types. Variables explained in supplementary txt file. </p> <p> </p>
Comparative host transcriptomics as a tool to identify candidate biomarkers for immune reactions in leprosy: A meta-analysis study
<p>The dataset consists of R source code for the individual dataset analysis of the studies and their meta-analysis. It also contains supplementary tables and figure.</p>
Core bibliometric Covid19 and comparable research dataset and code for the study "From intent to impact: Investigating the effects of open sharing commitments"
<p>This document provides the underlying dataset for the bibliometric component for the 2022 study "From intent to impact: Investigating the effects of open sharing commitments" by Research Consulting and Science-Metrix.</p> <p>Before reproducing the study findings or re-using the underlying datasets for other purposes, please cautiously review their limitations in the study's technical annex and main report, available at: https://zenodo.org/communities/data-sharing-in-public-health-emergencies/ </p> <p>Particularly, note that there is an error rate in attribution of signatory status to journal publications and preprints; in their location within specific thematic disease-based areas; or computing of dimension such as identification of data availability statement sections; identification of data depisition mentions within data availability statement sections; or matching of preprints and journal publications.</p> <p>These error rates are expected and have been estimated, please consult the technical report for full details.</p> <p> </p> <p>Definition of data fields is provided is the table below:</p> <table> <tbody> <tr> <td>Column name </td> <td>Definition</td> </tr> <tr> <td>document_type</td> <td>preprint or journal publication</td> </tr> <tr> <td>doi</td> <td>digital object identifier</td> </tr> <tr> <td>arxiv_id</td> <td>arXiv preprint server's unique identifier for its preprints</td> </tr> <tr> <td>ssrn_id</td> <td>SSRN preprint server's unique identifier for its preprints. Note that some of these IDs are contained within the DOIs also assigned to some (but not all) SSRN preprints , in the form of "10.2139/ssrn." + 'ssrn_id'</td> </tr> <tr> <td>coalesce_id</td> <td>coalesce function applied to the DOI, arxiv_id and ssrn_id. Redundant for journal publications.</td> </tr> <tr> <td>preprint_server</td> <td>Preprint platform on which a preprint has been published, restricted to arXiv, bioRxiv, medRxiv and SSRN for this study.</td> </tr> <tr> <td>journal_title</td> <td>Publishing journal name in the case of a journal publication.</td> </tr> <tr> <td>year</td> <td>The set is restricted to 2020 and 2021 for Covid19 preprints and journal publications. HVRD journal publications restricted to 2018-2019. HVRD preprints were restricted to 2020-2021 instead, to compensate for the lac of year-normalization for preprints, and generally better control findings against the launch of medRxiv in 2019.</td> </tr> <tr> <td>publication_title</td> <td>Title of the individual journal publication or preprint, not that of the publishing journal or preprint server.</td> </tr> <tr> <td>authors</td> <td>First 100 researchers that appear as authors of a preprint or journal publication. These are not parsed and provided for qualitative validation or assessments rather than for further quantitative treatment.</td> </tr> <tr> <td>Covid19</td> <td>Journal publications or preprints are coded 1 if they has been identified as falling into this thematic area through our queries (see the technical annex), 0 otherwise</td> </tr> <tr> <td>HVRD</td> <td>Human viral respiratory disease, the thematic area considered to be the closest to Covid19. Journal publications or preprints are coded 1 if they has been identified as falling into this thematic area through our queries (see the technical annex), 0 otherwise</td> </tr> <tr> <td>Journal_sig</td> <td>Journal publications where the publishing journal and/or its publishing house are Joint Statement signatories. Coded as 1 if they are signatories, 0 if not signatory, null if status could not be determined due to insufficient metadata. Not that all preprint servers included in this study are Joint Statement signatories. This category was fully removed from the models for preprints, rather than all preprints being assigned automatic signatory status.</td> </tr> <tr> <td>RPO_sig</td> <td>Journal publications and preprints where at least one author is affiliated with at least one research performing organization that is a Joint Statement signatory. Coded as 1 ifor signatory, 0 if not signatory, null if status could not be determined due to insufficient metadata.</td> </tr> <tr> <td>Funder_sig</td> <td>Journal publications and preprints where at least one funder supporting the research is a Joint Statement signatory. Coded as 1 ifor signatory, 0 if not signatory, null if status could not be determined due to insufficient metadata. Although funding is attributed to researchers rather than publications, funding metadata is more readily available at the second level. This approach also captures the flexible usage of financial resources that researchers may make accross mulitple concurrently ongoing research projects.</td> </tr> <tr> <td>overton_norm</td> <td>Year and subfield-normalized binary score of whether the journal publications has been cited by one or more policy-related documents from the Overton database. Null scores for journal publications not covered by the database.</td> </tr> <tr> <td>overton</td> <td>Normalizations being unable for preprints, binary score of whether the preprint has been cited by one or more policy-ralated documents from the Overton database. Null scores for preprints not covered by the database.</td> </tr> <tr> <td>daswriting_binary</td> <td>Binary score capturing identification of a data availability statement in the journal publication or preprint using the queries presented in the technical annex. Null scores are for publications and preprints where records of full texts were unavailable for text mining, or were this analysis could not be performed due to licensing restrictions. </td> </tr> <tr> <td>deposition_binary</td> <td>Binary score capturing identification of a data availability statement and data deposition mention therein in the journal publication or preprint using the queries presented in the technical annex. Null scores are for publications and preprints where records of full texts were unavailable for text mining, or were this analysis could not be performed due to licensing restrictions. </td> </tr> <tr> <td>is_oa</td> <td>Binary score capturing OA or free-to-read (also so-calleod "bronze OA" and "green OA") status of journal publications. Unpaywall categories have been used in a mutually exclusive implementation, with the best (gold > hybrid>bronze>green) possible applicable category being retained. Null scores for journal publications not covered in our Unpaywall dataset. Scores of 0 denote journal publications not available under an OA or free-to-read category.</td> </tr> <tr> <td>is_gold</td> <td>as above</td> </tr> <tr> <td>is_hybrid</td> <td>as above</td> </tr> <tr> <td>is_bronze</td> <td>as above</td> </tr> <tr> <td>is_green</td> <td>as above</td> </tr> <tr> <td>matched_journal_binary</td> <td>For preprints, whether one or more matching journal publications could be identified using the queries identified in the technical, or preprint servers' own lists of preprint-journal publication matches. Null scores for preprints with insufficient metadata information to perform the matching operation.</td> </tr> <tr> <td>matched_journal_doi</td> <td>For those preprints with or more matching journal publications, the DOI(s) of the matching journal publication(s). Note that some of the maching journal publications identified do not have DOIs.</td> </tr> <tr> <td>matched_preprint_binary</td> <td>For journal publications, whether one or more matching preceding preprints could be identified using the queries identified in the technical annex, or preprint servers' own lists of preprint-journal publication matches. Null scores for journal publications without sufficient metadata to run the analysis.</td> </tr> <tr> <td>matched_preprint_id</td> <td>For those journal publications preceded with one or more arXiv, bioRxiv, medRxiv or SSRN preprints, the DOI(s), arXiv ID and/or SSRN ID of the matching preprint(s). </td> </tr> <tr> <td>hasdoi</td> <td>Only journal publications with DOIs were retained in the core quantitative analyses.</td> </tr> <tr> <td>hasacknowledgements</td> <td>Only journal publications with funding acknowledgements (to determine funding-based signatory status) were retained in the core quantitative analyses.</td> </tr> <tr> <td>funder_array</td> <td>Array (but cast as string) of names of the funders on the basis of whose idenitification signatory status has been attributed, where relevant. Null if non-signatory or unknown signatory status.</td> </tr> <tr> <td>RPO_array</td> <td>Array (but cast as string) of names of the research performing organizations on the basis of whose idenitification signatory status has been attributed, where relevant. Null if non-signatory or unknown signatory status.</td> </tr> <tr> <td>DAS_excerpt</td> <td>Journal publication or preprint text excerpt on which succesful identifcation of data availability statements and/or data deposition mentions have been made. Null both where the query could not be run at all, or where the query was negative.</td> </tr> <tr> <td>big5</td> <td>Journal publication published in a journal owned by one of the following five publishing houses: Elsevier, Sage, Springer Nature, Taylor-Francis, Wiley.</td> </tr> <tr> <td>LMIC</td> <td>Journal publication whose authors include at least one researcher affiliated with at least one institution located in a lower-middle income country as defined by the World Bank</td> </tr> <tr> <td>LIC</td> <td>Journal publication whose authors include at least one researcher affiliated with at least one institution located in a low income country as defined by the World Bank</td> </tr> <tr> <td>SouthNorth</td> <td>Journal publication whose authors include at least one researcher affiliated with at least one institution located in a upper-middle income country, a lower-middle income country, or a low income country as defined by the World Bank; as well as at least one researcher affiliated with at least one institution located in a high income country. For the purpose of this indicator, Sicnece-Metrix exceptionally includes China and Bulgaria in the list of high income countries.</td> </tr> <tr> <td>DID_allauthors_OR</td> <td>Journal publication is included in the difference-in-difference model defining signatory publication as EITHER holding journal-based signatory status OR funding-based signatory status, and where no filter has been applied to control for author-level biases.</td> </tr> <tr> <td>DID_authorcontrol_OR</td> <td>Journal publication is included in the difference-in-difference model defining signatory publication as EITHER holding journal-based signatory status OR funding-based signatory status, and where a filter has been applied to control for author-level biases.</td> </tr> <tr> <td>DID_authorcontrol_AND</td> <td>Journal publication is included in the difference-in-difference model defining signatory publication as holding journal-based signatory status AND funding-based signatory status, and where a filter has been applied to control for author-level biases.</td> </tr> <tr> <td>DID_allauthors_AND</td> <td>Journal publication is included in the difference-in-difference model defining signatory publication as holding journal-based signatory status AND funding-based signatory status, and where no filter has been applied to control for author-level biases.</td> </tr> <tr> <td>Preprint_authorcontrol</td> <td>Preprint is included in the the analytical breakdowns where a filter has been applied to control for author-level biases. Note that authors have been kept constant in preprints on the basis of their belonging to all analytical breakdowns in journal publications rather than in preprint-based groups.</td> </tr> </tbody> </table> <p> </p>
Data for empirical example in: An effect size for comparing the strength of morphological integration across studies
<p>Understanding how and why phenotypic traits covary is a major interest in evolutionary biology. Biologists have long sought to characterize the extent of morphological integration in organisms, but comparing levels of integration for a set of traits across taxa has been hampered by the lack of a reliable summary measure and testing procedure. Here we propose a standardized effect size for this purpose, calculated from the relative eigenvalue variance, Vrel. First we evaluate several eigenvalue dispersion indices under various conditions, and show that only Vrel remains stable across samples size and the number of variables. We then demonstrate that Vrel accurately characterizes input patterns of covariation, so long as redundant dimensions are excluded from the calculations. However, we also show that the variance of the sampling distribution of Vrel depends on input levels of trait covariation, making Vrel unsuitable for direct comparisons. As a solution, we propose transforming Vrel to a standardized effect size (Z-score) for representing the magnitude of integration for a set of traits. We also propose a two-sample test for comparing the strength of integration between taxa, and show that this test displays appropriate statistical properties. We provide software for implementing the procedure, and an empirical example illustrates its use.</p>
Supplementary files: A Comparative Study of Active Rock Glaciers Mapped from Geomorphic- and Kinematic-Based Approaches in Daxue Shan, Southeast Tibetan Plateau
<p>Supplement of "A Comparative Study of Active Rock Glaciers Mapped from Geomorphic- and Kinematic-Based Approaches in Daxue Shan, Southeast Tibetan Plateau". The supplementary files provide the outlines and parameters of the rock glaciers inventoried by InSAR-assist kinematic-based approach in the Daxue Shan, Southeast Tibet Plateau. </p> <p>Based on the Sentinel-1A ascending SAR images acquired between 2015 and 2019, we derived a five-year-long LOS mean velocity map of the study area. We then compiled a rock glacier inventory by synergistically interpreting the InSAR-derived surface displacements and geomorphic features based on Google Earth images.</p>
Fig. 7 in Comparative morphology study of the male genitalia in the tribe Astathini from China (Coleoptera: Cerambycidae)
Fig. 7. Median lobe plus median struts of Bacchisa, dorsal view. A–C. R5>2.5. A. B. atritarsis. B. B. comate. C. B. dioica. D–G. R5>2.5. D. B. basalis. E. B. fortunei. F. B. guerryi. G. B. rigida. Scale bar = 0.5 mm.
Fig. 3. 8 in Comparative morphology study of the male genitalia in the tribe Astathini from China (Coleoptera: Cerambycidae)
Fig. 3. 8th abdominal segment, ventral view. A. Anastathes parvus hainana. B. A. robustus. C. Bacchisa atritarsis. D. Plaxomicrus ellipticus. E. Tetraophthalmus episcopalism. F. T. janthinipennis cyanopterus. G. T. janthinipennis janthinipennis. Scale bar = 0.5 mm.
Fig. 5 in Comparative morphology study of the male genitalia in the tribe Astathini from China (Coleoptera: Cerambycidae)
Fig. 5. Tegmen of Bacchisa, dorsal view. A–F. R2> 1/20. A. B. atritarsis. B. B. basalis. C. B. comate. D. B. dioica. E. B. fortunei. F. B. rigida. G. R2 <1/20, B. guerryi. Scale bar = 0.5 mm.
Fig. 2 in Comparative morphology study of the male genitalia in the tribe Astathini from China (Coleoptera: Cerambycidae)
Fig. 2. Tegmen in dorsal view. A. Anastathes parvus hainana. B. A. robustus. C. Bacchisa fortunei. D. Plaxomicrus ellipticus. E. Tetraophthalmus episcopalism. F. T. janthinipennis cyanopterus. G. T. janthinipennis janthinipennis. Scale bar = 0.5 mm.
Figs 1 in Comparative morphology study of the male genitalia in the tribe Astathini from China (Coleoptera: Cerambycidae)
Figs 1. Male genitalia of Astathini (Anastathes robustus Gressitt, 1940). A. Male genitalia, lateral view. B. Base of tegmen, dorsal view. C. Base of tegmen, lateral view. D. Median lobe plus median struts, dorsal view. E. 8th abdominal sternum. F. Rod at apex of internal sac. Abbreviation: ed. ejaculatory duct; is. internal sac; ll. lateral lobes; ml. median lobe; ms. median struts; ri. ringed part; ro. roof; rod. rod; sg. spiculum gastrale; st. sternum; te. tergaum. Scale bars = 0.5 mm.
Fig. 4 in Comparative morphology study of the male genitalia in the tribe Astathini from China (Coleoptera: Cerambycidae)
Fig. 4. Median lobe plus median struts and rod at apex of internal sac, dorsal view. A–B. Anastathes parvus hainana. C–D. A. robustus. E–F. Bacchisa dioica. G–H. Plaxomicrus ellipticus. I–J. Tetraophthalmus episcopalism. K–L. T. janthinipennis cyanopterus. M–N. T. janthinipennis janthinipennis. Scale bars = 0.5 mm.
Figs 4–15 in Comparative morphological study on the genus Leptura Linnaeus of China (Coleoptera: Cerambycidae: Lepturinae)
Figs 4–15. Adults of Leptura, dorsal view. 4. L. alticola Gressitt, holotype. 5. L. aethiops Poda. 6. L. ambulatrix (Gressitt), holotype. 7. L. ambulatrix (Gressitt). 8–9. L. arcuata Panzer. 10–11. L. arcifera (Blanchard). 12–15. L. auratopilosa (Matsushita). 11. L. semilunata Gressitt, holotype, synonym of L. arcifera. 12. Strangalia quadranglithoracica Tamanuki, holotype, synonym of L. auratopilosa. 13. S. auratopilosa Matsushita, holotype, synonym of L. auratopilosa. 4, 7–11, 13–15. Female. 5–6, 12. Male. Scale bars= 5 mm.
Figs 28–39 in Comparative morphological study on the genus Leptura Linnaeus of China (Coleoptera: Cerambycidae: Lepturinae)
Figs 28–39. Adults of Leptura, dorsal view. 28. L. formosomontana Kano, holotype. 29–30. L. tattakana (Kano, 1933). 31. L. ochraceofasciata ochrotela Bates. 32. L. quadrifasciata Linnaeus. 33–34. L. subtilis Bates. 35. L. zonifera (Blanchard). 36–38. L. taranan (Kano) 39. L. tatsienlua Gressitt, holotype. 29. S. horishana Matsushita, holotype, synonym of L. tattakana. 30. S. mushana Tamanuki, holotype, synonym of L. tattakana. 36. L. taranan (Kano), holotype. 28–29, 31–33, 35, 37, 39. Female. 30, 34, 36, 38. Male. Scale bars= 5 mm.
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.