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FIGURE 4. Lepadichthys erythraeus. A in Lepadichthys bilineatus, a new species of clingfish from Oman (Teleostei: Gobiesocidae), with a redescription of Lepadichthys erythraeus Briggs and Link from the Red Sea

FIGURE 4. Lepadichthys erythraeus. A: uncatalogued, 23.5 mm SL, Sharm el Moya, Egypt, Red Sea; B: uncatalogued, 36 mm SL, Sharm el Moya Bay, Egypt, Red Sea. C: BPBM 40985, 19.1 mm SL, El Quseir, Egypt, Red Sea. Photos by S.V. Bogorodsky.

FIGURE 3 in Lepadichthys bilineatus, a new species of clingfish from Oman (Teleostei: Gobiesocidae), with a redescription of Lepadichthys erythraeus Briggs and Link from the Red Sea

FIGURE 3. Sensory head pores of Lepadichthys erythraeus. LC = Lachrymal canal pores, NC= Nasal canal pores, PO = Postocular canal pores, PR = Preopercular canal pores. In L. erythraeus there are 3 PR pores; the third is visible only on the ventral surface and cannot be seen in profile.

FIGURE 2 Lepadichthys erythraeus, SMF 5586 in Lepadichthys bilineatus, a new species of clingfish from Oman (Teleostei: Gobiesocidae), with a redescription of Lepadichthys erythraeus Briggs and Link from the Red Sea

FIGURE 2 Lepadichthys erythraeus, SMF 5586, holotype, 36.6 mm SL, Ghardaqa, Egypt. Photo by S. Traenkner.

FIGURE 1. Lepadichthys bilineatus. BPBM 36336 in Lepadichthys bilineatus, a new species of clingfish from Oman (Teleostei: Gobiesocidae), with a redescription of Lepadichthys erythraeus Briggs and Link from the Red Sea

FIGURE 1. Lepadichthys bilineatus. BPBM 36336, holotype, 23.5 mm SL, Rahah Bay, Oman. A: Recently collected (white underside enhanced by a light used below to eliminate shadows); B: Preserved. C & D: Lepadichthys cf. bilineatus (not collected), Musandam, Strait of Hormuz, Oman. Photos by J.E. Randall (A), M. Craig (B), P. Louisy (C & D).

FIGURES 12, 13. Dobrodesmus mirabilis. Fig 12 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea

FIGURES 12, 13. Dobrodesmus mirabilis. Fig 12, ventral view of right lateral part of midbody segment, showing positions of spiracles. Abbreviations: as, anterior spiracle; ps, posterior spiracle. Fig 13. Posterior spiracle.

FIGURE 11 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea

FIGURE 11. Dobrodesmus mirabilis, posterior end, dorsolateral view. Abbreviations: s, spinneret; dp, dorsal division of paraproct; vp, ventral division of paraproct.; t, epiproct.

FIGURES 8–10. Dobrodesmus mirabilis. Fig 8 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea

FIGURES 8–10. Dobrodesmus mirabilis. Fig 8, Ozopore, lateral view. Fig 9, intercalary microscutes of metazonital dorsum, dorsal view. Fig 10, same.

FIGURES 2–7. Dobrodesmus mirabilis. Fig 2, collum. Fig 3, sensilla from sixth antennal article. Fig 4 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea

FIGURES 2–7. Dobrodesmus mirabilis. Fig 2, collum. Fig 3, sensilla from sixth antennal article. Fig 4, midbody segment, dorsal view. Fig 5, midbody segment, ventral view. Fig 6, anterior right corner of midbody segment, dorsal view. Fig 7, posterior right corner of nonporiferous midbody segment, dorsal view.

FIGURES 17, 18. Fig 17 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea

FIGURES 17, 18. Fig 17, gonopods of Sinocallipus simplipodicus (Callipodida, Sinocallipodidae). Fig 18, left gonopod of Dobrodesmus mirabilis, ventral view. Abbreviations as for Fig 16.

FIGURES 14–16. Fig 14 in A millipede missing link: Dobrodesmidae, a remarkable new polydesmidan millipede family from Brazil with supernumerary rings (Diplopoda, Polydesmida), and the establishment of a new suborder Dobrodesmidea

FIGURES 14–16. Fig 14, spinnerets of Dobrodesmus mirabilis. Fig 15, spinnerets of Tetracion jonesi Hoffman 1956 (Callipodida, Abacionidae). Abbreviations: sl, extended aperture of spinneret; dp, dorsal division of paraproct; vp, ventral division of paraproct. Fig 16, gonopods of Dobrodesmus mirabilis, ventral view. Abbreviations: cx, gonopod coxa; f, flagellum; p1, sheathing process of coxa; p2, triangular process of telopodite; tel, telopodite of gonopo; a?, possible acropodite.

opencc-by-nc-4.0Mar 2017View details →

How is ICT use linked to household transport expenditure? A cross-national macro analysis of the influence of home broadband access

Dataset used for analysis in the paper. ABSTRACT: Understanding of the interactions between Information and Communication Technologies (ICT) and physical mobility is a major area of research with practical applications in a number of fields. Very little, however, is known regarding how these relationships vary on a cross-national basis, including across countries at different stages in development. To address this gap, this paper presents an analysis of household transport expenditure as a function of the available variables, with a particular focus on the ICT. This analysis is based on a cross-sectional dataset from 2010 comprising information on 33 countries including average household transport expenditure, ICT represented by the percentage of households with Internet access at home, and a number of contextual macroeconomic and infrastructural variables Using a log-log framework we find that, in our sample of countries, household transport expenditure is negatively associated with Internet penetration with an elasticity of -0.394. We verify this to be robust to endogeneity using presence of restrictions on foreign ownership in the Internet market as an instrumental variable. We also control for potential differences in data quality across countries using the Corruption Perceptions Index. To the best of our knowledge, this is the first attempt to quantify this relationship at a cross-national level while also controlling for endogeneity and data quality issues. Among the control variables, we observe the estimated effects to be intuitive, and consistent with existing research and microeconomic understandings of the behaviour of individuals and households.

openlgpl-2.1Oct 2015View details →

Modeling exosome complexes from cross-link MS data

This repository contains the modeling scripts, the ensemble of models, and the results of the analysis for the modeling of the S.cerevisiae exosome complex (named exo10, comprising of Rrp40, Rrp4, Csl4, Rrp45, Rrp46, Rrp42, Rrp43, Mtr3, Ski6 and Rrp44), in presence of Ski7 (exo10+Ski7 below) or Rrp6 (exo10+Rrp6 below) proteins. The modeling is performed based on cross-link Mass-Spectrometry data, crystallographic structures, and comparative models. For more information about how to reproduce this modeling, see https://salilab.org/exosome or the README file.

opencc-by-4.0Sep 2024View details →

Data and code for "Nutrient storage links past thermal exposure to current performance in phytoplankton"

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2023View details →

Supplementary Material for Healthcare costs following falls and cataract surgery in older adults using Australian linked health data from 2012–2019

Note: The material contained herein is supplementary to the article:Huang-Lung J, Chun Ho K, Lung T, Palagyi A, McCluskey P, White AJR, Boufous S, Keay L. Healthcare costs following falls and cataract surgery in older adults using Australian linked health data from 2012–2019. Public Health Res Pract. November 2023; Online early publication. https://doi.org/10.17061/phrp33342311 ContentsAppendix Table A1. Details of linked administrative health data extracted for this study. Appendix Table A2. ICD-10-AM codes for identification of fall-related hospital admissions in this study. As multiple diagnosis codes can be recorded for each hospital admission, all diagnosis codes associated with the episode of care were considered. Appendix Table A3. SNOMED CT codes associated with fall-related emergency department presentations observed in this study. The SNOMED CT codes were searched in the CSIRO Shrimp database, version dated 31/10/21 (http://ontoserver.csiro.au/shrimp/). Appendix Table A4. Results from the multivariable generalised linear model assessing factors associated with higher healthcare costs in study participants. Appendix Table A5. Mean monthly healthcare costs according to cataract surgeries, sex and faller status groups, estimated from the generalised linear model using marginal means, with co-variates appearing in the model fixed at the following mean values: age = 75.5 and medications = 4.5.Appendix Box 1. Data cleaning methods. Figure A1. Flowchart of the study cohort.

openJul 2013View details →

Joined up thinking: linking and sharing Science Museum collections and content

The Science Museum has much content online featuring its collections, objects  and contextual stories, but this is fragmented across many websites and fails to add up to a credible and coherent online destination. It is known from our analytics that rich engagement with our online content takes place across the internet; on blogs, on twitter etc, but this engagement isn't reflected on our own web presence.Our user-centred design process told us that users had relatively little interest in the data itself - their goal was content - but that the richness of the linkages our data could drive greatly increased the content's value. We set up a project to create aggregated content on our core website, interlinking it from various domains - archives and images, collections catalogues and content management systems - through its key ideas; allowing it to form a nexus for the wider conversations taking place around it.As a result we have built a new infrastructure with linked open data at its heart. We have adopted a pragmatic ontological approach to maintain the integrity of our data sources, while leaving open the possibility of translating this for a greater variety of ontologies in the future. The result is an online product with an underlying data structure that combines two networks of linkages: a data-driven, structured, ontological one; and an organic one driven by user behaviour, creating a flexible platform with long term value - the simplest possible solution to a complex problem.

Fig. 3 in Vision-Linked Traits Associated With Antenna Size and Foraging Ecology Across Ants

Fig. 3. Mapped lateral eye positions according to ecology. Species indicated by circles, squares represent mean values for ecological binnings. (A) Eye position, both dorsoventral and anteroposterior, mapped on a theoretical ant head. Colors are indicative of foraging niche. (B) Eye position measurements with colors indicating trophic level. Illustrated head proportions based on ratio of mean head length and depth in lateral view across taxa sampled; head length is approximately 40% greater than head depth in profile view on average.

Fig. 1 in Vision-Linked Traits Associated With Antenna Size and Foraging Ecology Across Ants

Fig. 1. Variation among vision-based traits across sampled taxa. Pruned phylogenetic tree from Blanchard and Moreau (2017) with log adjusted ommatidia density mapped along branches.The raw units for ommatidia density are ommatidia per 1mm2. Ecological niche occupation indicated with icons and bar graph colors, includes foraging niche and trophic level. (Right) Eye area normalized by frontal head area across sampled species. Corresponding PGLS results in Fig. 2, Table 2.

Fig. 5 in Vision-Linked Traits Associated With Antenna Size and Foraging Ecology Across Ants

Fig. 5. Visual acuity and trophic level. (Left) Variation between eye area and ommatidia number across sampled ant species.Trophic level information displays omnivorous (n = 31) and predatory (n = 28) ant species. Unknowns are also included (n = 11).Trendline shows linear regression of ommatidia number and eye area (R2 = 0.7908, P = <2.2 x 10–16). Both measurements are scaled by frontal head area. (Right) Simplified, hypothetical representation of visual acuity based on ommatidia number.

Fig. 4 in Vision-Linked Traits Associated With Antenna Size and Foraging Ecology Across Ants

Fig. 4. Phylogenetic Generalized Least Squares regression of scape length and eye traits. Results of linear regressions of visual traits against scape length; (A) ommatidia density R2 = 0.1754, P = 0.0004615; (B) eye height R2 = 0.4735, P = 5.40 x 10–10; (C) dorsoventral eye position R = 0.1365, P = 0.001975; (D) anteroposterior eye position R2 = 0.1286, P = 0.002643. Scape and eye height are scaled by head area. All specimens were included in analyses (n = 64); PGLS relationships from Blanchard and Moreau 2017. ** denotes P ≤ 0.01; *** P ≤ 0.001.