cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.24mk0
title: Data from: Museum specimen data reveal emergence of a plant disease may be linked to increases in the insect vector population

description: The emergence rate of new plant diseases is increasing due to novel
 introductions, climate change, and changes in vector populations, posing
 risks to agricultural sustainability. Assessing and managing future
 disease risks depends on understanding the causes of contemporary and
 historical emergence events. Since the mid-1990s, potato growers in the
 western United States, Mexico, and Central America have experienced severe
 yield loss from Zebra Chip disease and have responded by increasing
 insecticide use to suppress populations of the insect vector, the potato
 psyllid, Bactericera cockerelli (Hemiptera: Triozidae). Despite the severe
 nature of Zebra Chip outbreaks, the causes of emergence remain unknown. We
 tested the hypotheses that 1) B. cockerelli occupancy has increased over
 the last century in California and 2) such increases are related to
 climate change, specifically warmer winters. We compiled a dataset of
 87,000 museum specimen occurrence records across the order Hemiptera
 collected between 1900 and 2014. We then analyzed changes in B. cockerelli
 distribution using a hierarchical occupancy model using changes in
 background species lists to correct for collecting effort. We found
 evidence that B. cockerelli occupancy has increased over the last century.
 However, these changes appear to be unrelated to climate changes, at least
 at the scale of our analysis. To the extent that species occupancy is
 related to abundance, our analysis provides the first quantitative support
 for the hypothesis that B. cockerelli population abundance has increased,
 but further work is needed to link B. cockerelli population dynamics to
 Zebra Chip epidemics. Finally, we demonstrate how this historical
 macro-ecological approach provides a general framework for comparative
 risk assessment of future pest and insect vector outbreaks.
description: California Hemiptera
 museum recordshemiptera_records.csv
DOI: 10.6084/m9.figshare.31157680
title: Supplementary data S4

description: 28S dataset for 37 rhabdocoel taxa in fasta format, after removing alignment-ambiguous sites and shortening
DOI: 10.6084/m9.figshare.31157680.v2
title: Supplementary data S4

description: 28S dataset for 37 rhabdocoel taxa in fasta format, after removing alignment-ambiguous sites and shortening
DOI: 10.6084/m9.figshare.31157680.v1
title: Sekiguchi & Kakui 2026 - <b>Supplementary data S4.</b>

description: 28S dataset for 37 rhabdocoel taxa in fasta format, after removing alignment-ambiguous sites and shortening
DOI: 10.5061/dryad.6244k
title: Data from: Taxonomic delimitation of the rare, eastern North American endemic lichen Santessoniella crossophylla (Pannariaceae)

description: The taxonomic delimitation and generic placement of Santessoniella
 crossophylla (Old Gray Crosslobes), a cyanolichen endemic to eastern North
 America, are revisited based on newly generated nrITS and mtSSU sequences.
 A population from Nova Scotia whose identification as S. crossophylla has
 been questioned is confirmed as belonging to the species. The monospecific
 genus Rockefellera is introduced to accommodate lichens ascribable to S.
 crossophylla in light of molecular results herein presented. The new name
 honors the Rockefeller family for their century-long support of North
 American conservation efforts, particularly with respect to national
 parks.
description: data_packetThis is a zipped folder that contains the following items: 1) Images of the lectotype (HUH377480). 2) Images of the specimen from Nova Scotia (N942) 3) Input alignments for combined mtSSU and ITS analyses (MP=parsimony, ML=likelihood, BI=Bayesian Inference). 4) Initial mtSSU and ITS individual alignments. 5) Excel spreadsheet of specimens of Santessoniella crossophylla examined.dryad_data_packet_zip
DOI: 10.5061/dryad.t950h
title: Data from: The roles of ecology, behavior and effective population size in the evolution of a community

description: Organismal traits such as ecological specialization and migratory behavior
 may affect colonization potential, population persistence, and degree of
 isolation, factors that determine the composition and genetic structure of
 communities. However, studies focusing on community assembly rarely
 consider these factors jointly. We sequenced 16 nuclear and one
 mitochondrial genes from Caucasian and European populations of 30
 forest-dwelling avian species that represent diverse ecological
 (specialist-generalist) and behavioral (migratory-resident) backgrounds.
 We tested the effects of organismal traits on population divergence and
 community assembly in the Caucasus forest, a continental mountain island
 setting. We found that (1) there is no concordance in divergence times
 between the Caucasus forest bird populations and their European
 counterparts, (2) habitat specialists tend to be more divergent than
 generalists, and (3) residents tend to be more divergent than migrants.
 Thus, specialists and residents contribute to the high level of endemism
 of Caucasus forest avifauna more than do generalists and migrants.
 Patterns of genetic differentiation are better explained by differences in
 effective population sizes, an often overlooked factor in comparative
 studies of phylogeography and speciation, than by divergence times or
 levels of gene flow. Our results suggest that the Caucasus forest avifauna
 was assembled through time via dispersal and/or multiple vicariant events,
 rather than originating simultaneously via a single isolation event. Our
 study is one of the first multi-locus, multi-species analyses revealing
 how ecological and migratory traits impact the evolutionary history of
 community formation on a continental island.
description: Data from: The roles of
 ecology, behavior and effective population size in the evolution of a
 communityThe deposited data
 include input files and results of several programs used in this
 study.Deposit to
 Dryad_ME_Caucaus2017.zip
DOI: 10.17632/htyvnsv8gp
title: FREEDOM OF ENTERPRISE AND THE RIGHT TO PROTEST

description: This paper examines the conflict between the right to protest and the rights to freedom of movement and freedom of enterprise in Guatemala. Although demonstrations are a legitimate expression of dissent in a democratic society, they often generate economic losses and restrict mobility and access to basic services. The right to protest is indispensable to democratic life, yet its exercise must be balanced with other rights. The absence of clear regulation concerning public demonstrations has created uncertainty and fostered the criminalization of protest.
This paper proposes social dialogue and specific regulation as mechanisms to achieve a balance that benefits society.
DOI: 10.5061/dryad.j432q
title: Data from: Higher predation risk for insect prey at low latitudes and elevations

description: Biotic interactions underlie ecosystem structure and function, but
 predicting interaction outcomes is difficult. We tested the hypothesis
 that biotic interaction strength increases toward the equator, using a
 global experiment with model caterpillars to measure predation risk.
 Across an 11,660-kilometer latitudinal gradient spanning six continents,
 we found increasing predation toward the equator, with a parallel pattern
 of increasing predation toward lower elevations. Patterns across both
 latitude and elevation were driven by arthropod predators, with no
 systematic trend in attack rates by birds or mammals. These matching
 gradients at global and regional scales suggest consistent drivers of
 biotic interaction strength, a finding that needs to be integrated into
 general theories of herbivory, community organization, and life-history
 evolution.
description: Data on Dummy
 CaterpillarsSee
 ReadmeDummyData.xlsxIndividual Based Model SimulationsSee ReadmeInstructions for participantsSee ReadmeData sheetSee Readme
DOI: 10.17632/htyvnsv8gp.1
title: FREEDOM OF ENTERPRISE AND THE RIGHT TO PROTEST

description: This paper examines the conflict between the right to protest and the rights to freedom of movement and freedom of enterprise in Guatemala. Although demonstrations are a legitimate expression of dissent in a democratic society, they often generate economic losses and restrict mobility and access to basic services. The right to protest is indispensable to democratic life, yet its exercise must be balanced with other rights. The absence of clear regulation concerning public demonstrations has created uncertainty and fostered the criminalization of protest.
This paper proposes social dialogue and specific regulation as mechanisms to achieve a balance that benefits society.
DOI: 10.5061/dryad.m371v
title: Data from: Horizontal gene transfer constrains the timing of methanogen evolution

description: Microbial methanogenesis may have been a major component of Earth’s carbon
 cycle during the Archaean eon, generating a methane greenhouse that
 increased global temperatures enough for a liquid hydrosphere, despite the
 Sun’s lower luminosity at the time. Evaluation of potential solutions to
 the ‘faint young Sun’ hypothesis by determining the age of microbial
 methanogenesis has been limited by ambiguous geochemical evidence and the
 absence of a diagnostic fossil record. To overcome these challenges, we
 use a temporal constraint: a horizontal gene transfer event from within
 archaeal methanogens to the ancestor of Cyanobacteria, one of the few
 microbial clades with recognized crown-group fossils. Results of molecular
 clock analyses calibrated by this horizontal-gene-transfer-propagated
 constraint show methanogens diverging within Euryarchaeota no later than
 3.51 billion years ago, with methanogenesis itself probably evolving
 earlier. This timing provides independent support for scenarios wherein
 microbial methane production was important in maintaining temperatures on
 the early Earth.
description: READMEThis is the README file
 for all supplementary data associated with: Wolfe JM, Fournier GP.
 Horizontal gene transfer constrains the timing of methanogen evolution.
 Nature Ecology and Evolution.1_LUTLookup table providing
 the clade and full species names for truncated names used in all
 subsequent files (required for analysis in downstream
 software).Alignment
 filesMultiple sequence
 alignments, containing files 2-13 (described fully in README
 file).alignments.zipPhylogenetic tree topologiesPhylogenetic tree topologies, containing files 14-23 (described fully in README file).phylogenetic_trees.zipDivergence time estimatesDivergence time estimates, containing files 24-53 (described fully in README file).divergence_times.zipSupplemental resultsSupplemental results, containing files 54-56 (described fully in README file).supplemental_results.zipEffective prior filesFiles related to the effective prior runs, containing files 57-68, related to Fig S8 in the paper (described fully in README file).effective_prior.zip
DOI: 10.5061/dryad.rq4s3
title: Data from: Using deep learning to quantify the beauty of outdoor places

description: Beautiful outdoor locations are protected by governments and have recently
 been shown to be associated with better health. But what makes an outdoor
 space beautiful? Does a beautiful outdoor location differ from an outdoor
 location that is simply natural? Here, we explore whether ratings of over
 200 000 images of Great Britain from the online game Scenic-Or-Not,
 combined with hundreds of image features extracted using the Places
 Convolutional Neural Network, might help us understand what beautiful
 outdoor spaces are composed of. We discover that, as well as natural
 features such as ‘Coast’, ‘Mountain’ and ‘Canal Natural’, man-made
 structures such as ‘Tower’, ‘Castle’ and ‘Viaduct’ lead to places being
 considered more scenic. Importantly, while scenes containing ‘Trees’ tend
 to rate highly, places containing more bland natural green features such
 as ‘Grass’ and ‘Athletic Fields’ are considered less scenic. We also find
 that a neural network can be trained to automatically identify scenic
 places, and that this network highlights both natural and built locations.
 Our findings demonstrate how online data combined with neural networks can
 provide a deeper understanding of what environments we might find
 beautiful and offer quantitative insights for policymakers charged with
 design and protection of our built and natural environments.
description: Data for Using Deep
 Learning to Quantify the Beauty of Outdoor PlacesThis database lists all
 the Geograph images we used from Scenic-Or-Not
 (http://scenicornot.datasciencelab.co.uk/) to help us understand what
 beautiful outdoor spaces are composed of. We only include images in our
 analysis that have been rated more than three times.Scenic-Or-Not-Geograph_URIs.csvData for Using Deep Learning to Quantify the Beauty of Outdoor PlacesIn order to predict the scenic ratings of images for which we do not already have crowdsourced data, we use a transfer learning approach to leverage the knowledge of the Places365 CNN [1], which can predict the place category of a scene with a high degree of accuracy. We modify the Places CNN to instead predict the scenicness of an image. We fine-tune our CNN using 80% of the Scenic-Or-Not dataset [2], and use the remaining 20% test set to check our prediction accuracy. We calculate a performance measure using the Kendall Rank correlation between the predicted scenic scores and the actual scenic scores. The Scenic CNN trained using the Visual Geometry Group (VGG) convolutional neural network architecture delivers the best performance with an overall prediction accuracy of 0.658. We predict the scenicness of images of London uploaded to Geograph (http://www.geograph.org.uk/). This dataset includes all the scenic predictions used to create Figure6 "Predictions of scenic ratings for London images". [1] Zhou, B., Khosla, A., Lapedriza, A., Torralba, A., & Oliva, A. 2016 Places: An image database for deep scene understanding. arXiv preprint arXiv:1610.02055.London-Scenic-Predictions.csv
DOI: 10.5061/dryad.r19f8
title: Data from: What are the environmental determinants of phenotypic selection? A meta-analysis of experimental studies

description: Although many selection estimates have been published, the environmental
 factors that cause selection to vary in space and time have rarely been
 identified. One way to identify these factors is by experimentally
 manipulating the environment and measuring selection in each treatment. We
 compiled and analyzed selection estimates from experimental studies.
 First, we tested whether the effect of manipulating the environment on
 selection gradients depends on taxon, trait type, or fitness component. We
 found that the effect of manipulating the environment was larger when
 selection was measured on life history traits or via survival. Second, we
 tested two predictions about the environmental factors that cause
 variation in selection. We found support for the prediction that variation
 in selection is more likely to be caused by environmental factors that
 have a large effect on mean fitness, but not for the prediction that
 variation is more likely to be caused by biotic factors. Third, we
 compared selection gradients from experimental and observational studies.
 We found that selection varied more among treatments in experimental
 studies than among spatial and temporal replicates in observational
 studies, suggesting that experimental studies can detect relationships
 between environmental factors and selection that would not be apparent in
 observational studies.
description: determinants of
 selection dataset_main analysesThis data file is
 associated with main text analyses. This file contains data from two
 datasets. Estimates of directional phenotypic selection gradients (and
 associated standard errors) from (1) experiments manipulating selective
 agents and (2) from spatially or temporally replicated natural
 populations. Not all columns apply for both datasets.determinants of
 selection dataset.differentials_App AData file associated
 with Appendix A. This file is composed of estimates of directional
 phenotypic selection differentials (with and without associated standard
 errors) from experiments manipulating selective agents.determinants of
 selection dataset.all.estimates_App DData file associated
 with Appendix D. This file contains data from two datasets. Estimates of
 directional phenotypic selection gradients (with and without associated
 standard errors) from (1) experiments manipulating selective agents and
 (2) from spatially or temporally replicated natural populations. Not all
 columns apply for both datasets.env determinants of
 selectionR script for analyses
 associated with Caruso et al. What are the environmental determinants of
 phenotypic selection? A meta-analysis of experimental studies. The
 American Naturalist
DOI: 10.17632/r3bxphvtkk
title: Dataset for MicroCEP: Complex Event Processing on the Edge

description: This dataset provides the scripts and configurstion files used to perform evaluation tests for the paper entitled "MicroCEP: Complex Event Processing on the Edge", as well as the results obtained in such tests. Futher details are provided in the readme.txt file.
DOI: 10.5061/dryad.053jh
title: Data from: Using traits to assess nontransitivity of interactions among coral species

description: Simulations and experiments have shown that species coexistence can be
 maintained via nontransitive competition, of which a simple case is the
 rock-paper-scissors game. Reef-building corals exemplify high biodiversity
 competing for a few limiting resources via several mechanisms. Thus,
 corals represent fertile ground for exploring competition and
 nontransitivity. This article aimed to test hypotheses about the effects
 of species-level traits on competitive outcomes, specifically, that more
 upright growth, larger corallites, smaller ranges, and difference in
 commonness co-occur with competitive superiority. Further aims were to
 test whether closely related species show less predictable competitive
 outcomes and greater nontransitivity and to examine the level of
 nontransitivity among a large number of species. These goals were
 addressed by fitting a mixed-effects model to outcomes of 2,322
 interspecific interactions. Among species-level traits, corallite width
 had the greatest impact on outcome, followed by geographical range size,
 growth form, and the typical commonness of conspecifics in assemblages.
 These fixed effects had smaller estimated impacts than a random effect
 associated with species pair, suggesting a primary role for idiosyncratic
 species-pair or other factors. Closely related species had more variable,
 less predictable interaction outcomes. Nearly a quarter of three-way
 species relations were nontransitive. The observed degree of competitive
 nontransitivity and extent of idiosyncratic species-pair effects together
 provide an empirical baseline for further investigations of mechanisms of
 species coexistence.
description: coral interaction data,
 model output, code(a) pairwise
 interspecific coral interactions with outcomes, for training and test
 sets, and references from which interactions are drawn, (b) coral traits
 and references, (c) model output, (d) R codecoralcompetition-inputOutputCode.zip
DOI: 10.17632/r3bxphvtkk.1
title: Dataset for MicroCEP: Complex Event Processing on the Edge

description: This dataset provides the scripts and configurstion files used to perform evaluation tests for the paper entitled "MicroCEP: Complex Event Processing on the Edge", as well as the results obtained in such tests. Futher details are provided in the readme.txt file.
DOI: 10.5061/dryad.c7h3c
title: Data from: Prevalence characteristics of cervical human papillomavirus (HPV) genotypes in the Taizhou area, China: a cross-sectional study of 37 967 women from the general population

description: Objectives: High-risk human papillomaviruses (hrHPVs) are highly prevalent
 worldwide, and HPV genotypes differ between geographical regions; however,
 sexually transmitted HPV may lead to cervical carcinogenesis. The
 objective of this cross-sectional study was to estimate the prevalence
 characteristics of cervical HPV genotypes in Taizhou, Southeast China.
 Setting and participants: A population-based sample of 37 967 eligible
 women (median age: 41.6; range: 15–90 years) visiting the Taizhou ENZE
 Medical Center in Taizhou (2012–2016) was analysed. HPV genotyping was
 performed on the collected specimens using a GP5+/bioGP6+-PCR/MPG assay by
 Luminex 200, which simultaneously identifies 27 different HPV genotypes
 and the β-globin gene (internal control). Results: The overall HPV
 infection rate was 22.8% in the Taizhou-based population, and the
 prevalence of high-risk HPV, low-risk HPV and mixed high-risk and low-risk
 HPV infection was 14.2%, 5.7% and 3.0%, respectively. The most prevalent
 genotypes were HPV52 (19.7%), 16 (11.9%), 58 (11.5%), 39 (7.2%), 18 (6.6%)
 and 56 (5.6%). The rate of multiple-type HPV infection was 5.7% in the
 whole population, and the HPV52+58, HPV16+52 and HPV16+18 mixed genotypes
 were most common in women with multiple infections. The age-specific HPV
 prevalence showed a bimodal curve, with a first peak below the age of 21
 years (41.6%), followed by a second peak in the age group of 56–60 years
 (28.5%). Moreover, the HPV infection rate differed significantly between
 the outpatient and physical examination groups (24.0% vs 19.5%,
 p&lt;0.0001). Further data comparisons showed that the distribution of
 HPV genotypes varied markedly between the two groups. Conclusions: Data
 from this study could be valuable for HPV-based cervical cancer screening
 efforts in certain areas, support the local vaccination programme in the
 Taizhou region and facilitate future diagnosis and treatment of HPV
 diseases.
description: anonymous
 individual-level data for 37,967 women from the general population in
 Taizhou regionadditional
 data(37967).xls
DOI: 10.17632/dxfyk4s8s2.1
title: Impact of AI Avatars and Voice Synthesis on Editorial Content and Audience Response of UATV English. Table 1

description: This table contains research data collected manually from publicly available performance metrics on UATV English YouTube channel. The study covers 60 videos from Pre AI period and 60 videos from Post AI period.