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The invasive freshwater jellyfish Craspedacusta sowerbii (Limnomedusae, Olindiidae) is native to East Asia and since the end of the 19th century, was observed in Europe, then in North America, and across the globe. In recent decades, reports of C. sowerbii have drastically increased in Europe, North and South America, Australia, Asia, and parts of Africa. However, the worldwide distribution of C. sowerbii remains poorly documented due to the lack of information in various aquatic environments. This dataset globalises the occurrences of this species from an extensive literature review and database review. Information extracted from the literature/database were organised and synthesised according to specific criteria, such as geographic area (continent and country), GPS coordinates, habitat types (i.e., closed/open, artificial/natural, rivers, canals, ponds, lakes, etc.). To understand the altitude ranges of C. sowerbii, altitude data were extracted from the elevation layer downloaded from WorldClim (http://www.worldclim.org/; accessed in June 2021) using QGIS version 3.16.3 software.

We examine a single interglacial during the late Pliocene (KM5c, ca. 3.205 +/- 0.01 Ma) when atmospheric CO2 concentrations were higher than pre-industrial, but similar to today and to the lowest emission scenarios for this century. As orbital forcing and continental configurations were also similar to today, we are able to focus on equilibrium climate system response to modern and near-future CO2. We have synthesised largely published datasets, scrutinised their age models, and generated mean absolute SSTs and their anomaly relative to the pre-industrial. Here we present those values for both alkenone and foraminifera-Mg/Ca proxies.

Rapid changes in ocean circulation and climate have been observed in marine-sediment and ice cores over the last glacial period and deglaciation, highlighting the non-linear character of the climate system and underlining the possibility of rapid climate shifts in response to anthropogenic greenhouse gas forcing. To date, these rapid changes in climate and ocean circulation are still not fully explained. One obstacle hindering progress in our understanding of the interactions between past ocean circulation and climate changes is the difficulty of accurately dating marine cores. Here, we present a set of 92 marine sediment cores from the Atlantic Ocean for which we have established age-depth models that are consistent with the Greenland GICC05 ice core chronology, and computed the associated dating uncertainties, using a new deposition modeling technique. This is the first set of consistently dated marine sediment cores enabling paleoclimate scientists to evaluate leads/lags between circulation and climate changes over vast regions of the Atlantic Ocean. Moreover, this data set is of direct use in paleoclimate modeling studies.

This study includes public user data files of two waves of interviews with L.A.FANS respondents. There often are multiple respondents in L.A.FANS households and Wave 2 includes both panel respondents and a new sample. Users' Guides which explain the design and how to use the sample are available for Wave 1 and Wave 2 at the RAND website. The Los Angeles Family and Neighborhood Survey (L.A.FANS) is a two-wave study of adults and children in Los Angeles County and of the neighborhoods in which they live. The first wave (L.A.FANS-1), which was fielded between April 2000 and January 2002, interviewed adults and children living in 3,085 households in a stratified probability sample of 65 neighborhoods throughout Los Angeles County. The samples of neighborhoods and individuals were representative of neighborhoods and residents of Los Angeles County. Poorer neighborhoods and households with children were oversampled. In Wave 2 of L.A.FANS (L.A.FANS-2), Wave 1 respondents living in Los Angeles County were reinterviewed and updated information was collected on Wave 1 respondents who had moved away from Los Angeles County. A sample of individuals who moved into each sampled neighborhood between Waves 1 and 2 was also interviewed, for a total of 2,319 adults and 1,382 children (ages less than 18 years). Additional information on the project is available at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides (Wave 1 and Wave 2) RAND Documentation Reports page L.A.FANS is based on a stratified random sample of 65 neighborhoods (census tracts) in Los Angeles County, California. Poor neighborhoods were oversampled. In Wave I, an average of 41 households were randomly selected and interviewed within each neighborhood, including an oversample of households with children under 18. Within each household, both adults and children were sampled and interviewed. Each sampled person was interviewed in the first wave and tracked and reinterviewed in the second wave, whether they remained in the neighborhood or moved elsewhere in Los Angeles County. Information on Wave 1 respondents who could not be reinterviewed in Wave 2 was collected from other household members. In the second wave, a fresh sample of households that had moved into the neighborhood in period between waves was also selected and interviewed. The first wave (L.A.FANS-1), which was fielded between April 2000 and January 2002, interviewed adults and children living in 3,085 households in a stratified probability sample of 65 neighborhoods throughout Los Angeles County. The samples of neighborhoods and individuals were representative of neighborhoods and residents of Los Angeles County. Poorer neighborhoods and households with children were oversampled. In Wave 2 of L.A.FANS (L.A.FANS-2), Wave 1 respondents living in Los Angeles County were reinterviewed and updated information was collected on Wave 1 respondents who had moved away from Los Angeles County. A sample of individuals who moved into each sampled neighborhood between Waves 1 and 2 was also interviewed, for a total of 2,319 adults and 1,382 children (ages less than 18 years). Additional information on the project is available at the L.A.FANS website. Datasets: DS0: Study-Level Files DS1: Module Status Public Variables DS2: Household Individual-level Roster Module Public Variables DS3: Household Roster Module Public Variables DS4: Household Characteristics Module Public Variables DS5: Household Income and Assets Module Public Variables DS6: Imputed Household Income Module Public Variables DS7: Adult Module Public Variables DS8: Event History Calendar Module Public Variables DS9: Primary Care Giver Module Public Variables DS10: Parent-Child Module Public Variables DS11: Child Module Public Variables DS12: Woodcock-Johnson Assessment Module Public Variables DS13: Household Observations Module Public Variables DS14: Adult Module Occupation and Industry Code Public Variables DS15: Event History Calendar Module Occupation and Industry Code Public Variables computer-assisted personal interview (CAPI); computer-assisted telephone interview (CATI); coded on-site observation; cognitive assessment test; face-to-face interview; self-enumerated questionnaire; telephone interviewL.A.FANS User Guides and Questionnaires are available to read or download from the L.A.FANS website. For additional information, please visit the L.A.FANS website. Households in Los Angeles County. Smallest Geographic Unit: City

Supplementary material experiment_2_results. (XLSX 1040 kb)

Abstract Many medical professions require practitioners to perform visual categorizations in domains such as radiology, dermatology, and neurology. However, acquiring visual expertise is tedious and time-consuming and the perceptual strategies mediating visual categorization skills are poorly understood. In this paper, the Ease algorithm was developed to predict an itemâ s categorization difficulty (Ease value) based on the itemâ s perceptual similarity to all within-category items versus between-category items in the dataset. In this study, Ease values were used to construct an easy-to-hard and hard-to-easy training schedule for teaching melanoma diagnosis. Whereas previous visual training studies suggest that an easy-to-hard schedule benefits learning outcomes, no studies to date have demonstrated the easy-to-hard advantage with complex, real-world images. In our study, 237 melanoma and benign images were collected for training and testing purposes. The diagnostic accuracy of images was verified by an expert dermatologist. Based on their Ease values, the items were grouped into easy, medium, and hard categories, each containing an equal number of melanoma and benign lesions. During training, participants categorized images of skin lesions as either benign or melanoma and were given corrective feedback after each trial. In the easy-to-hard training condition, participants learned to categorize all the easy items first, followed by the medium items, and finally the hard items. Participants in the hard-to-easy training condition learned items in the reverse order. Post-training results showed that training in both conditions transferred to the classification of new melanoma and benign images. Participants in the easy-to-hard condition showed modest advantages both in the acquisition and retention of the melanoma diagnosis skills, but neither scheduling condition exhibited a gross advantage. The Ease values of the items predicted categorization accuracy after, but not before training, suggesting that the Ease algorithm is a promising tool for optimizing medical training in visual categorization.

Final Probe Regions. Complete listing of all regions used in alignments to generate probes. (XLSX 1446Â kb)

Abstract Background Anchored hybrid enrichment is a form of next-generation sequencing that uses oligonucleotide probes to target conserved regions of the genome flanked by less conserved regions in order to acquire data useful for phylogenetic inference from a broad range of taxa. Once a probe kit is developed, anchored hybrid enrichment is superior to traditional PCR-based Sanger sequencing in terms of both the amount of genomic data that can be recovered and effective cost. Due to their incredibly diverse nature, importance as pollinators, and historical instability with regard to subfamilial and tribal classification, Syrphidae (flower flies or hoverflies) are an ideal candidate for anchored hybrid enrichment-based phylogenetics, especially since recent molecular phylogenies of the syrphids using only a few markers have resulted in highly unresolved topologies. Over 6200 syrphids are currently known and uncovering their phylogeny will help us to understand how these species have diversified, providing insight into an array of ecological processes, from the development of adult mimicry, the origin of adult migration, to pollination patterns and the evolution of larval resource utilization. Results We present the first use of anchored hybrid enrichment in insect phylogenetics on a dataset containing 30 flower fly species from across all four subfamilies and 11 tribes out of 15. To produce a phylogenetic hypothesis, 559 loci were sampled to produce a final dataset containing 217,702 sites. We recovered a well resolved topology with bootstrap support values that were almost universally >95Â %. The subfamily Eristalinae is recovered as paraphyletic, with the strongest support for this hypothesis to date. The ant predators in the Microdontinae are sister to all other syrphids. Syrphinae and Pipizinae are monophyletic and sister to each other. Larval predation on soft-bodied hemipterans evolved only once in this family. Conclusions Anchored hybrid enrichment was successful in producing a robustly supported phylogenetic hypothesis for the syrphids. Subfamilial reconstruction is concordant with recent phylogenetic hypotheses, but with much higher support values. With the newly designed probe kit this analysis could be rapidly expanded with further sampling, opening the door to more comprehensive analyses targeting problem areas in syrphid phylogenetics and ecology.