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27 results for “Auriculatus”

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zenodo40/100

Fig. 3 in Morphology of immature stages of Helophorus (Gephelophorus) auriculatus (Coleoptera, Helophoridae)

Fig. 3. First instar larva of Helophorus auriculatus Sharp, 1884. Anterior margin of head capsule, dorsal view.

opencc-by-4.0May 2020View details →
zenodo40/100

Рис. 2. A, B – Modiolus auriculatus (Krauss, 1848): Японское море, ЯпониЯ, Хонсю, Зал. ТоЯма, у г. УодЗу, длина раковины 37.4 мм, ЗМ ДВФУ № 25587/Bv-4627; правые и левые створки раковины снаруЖи и иЗнутри; C – Modiolus nipponicus (Oyama, 1950): ЮЖнаЯ КореЯ, о-в ЧедЖу, Йонмори, 2 км от порта Хвасун, длина раковины 30.1 мм, ЗМ ДВФУ № 41361/Bv-6088; леваЯ створка снаруЖи и иЗнутри. in Finding of Modiolus nipponicus (Oyama, 1950) (Bivalvia: Mytilidae) in Russian waters of the Sea of Japan

Рис. 2. A, B – Modiolus auriculatus (Krauss, 1848): Японское море, ЯпониЯ, Хонсю, Зал. ТоЯма, у г. УодЗу, длина раковины 37.4 мм, ЗМ ДВФУ № 25587/Bv-4627; правые и левые створки раковины снаруЖи и иЗнутри; C – Modiolus nipponicus (Oyama, 1950): ЮЖнаЯ КореЯ, о-в ЧедЖу, Йонмори, 2 км от порта Хвасун, длина раковины 30.1 мм, ЗМ ДВФУ № 41361/Bv-6088; леваЯ створка снаруЖи и иЗнутри.

opencc-by-4.0Nov 2017View details →
zenodo36/100

Plectus auriculatus Bütschlii. in Beiträge zur geographischen Verbreitung freilebender Nematoden

Plectus auriculatus Bütschlii.

opencc-by-4.0Dec 1916View details →
zenodo36/100

Plectus auriculatus Bütschli. in Beiträge zur geographischen Verbreitung freilebender Nematoden

Plectus auriculatus Bütschli.

opencc-by-4.0Dec 1916View details →
edi36/100

Santa Barbara Coastal site, station Arroyo Quemado Reef, Santa Barbara Channel, study of animal density of Sebastes auriculatus in units of numberPerMeterSquared on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains animal density of Sebastes auriculatus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Santa Barbara Coastal site, station Bulito Reef, Santa Barbara Channel, study of animal density of Sebastes auriculatus in units of numberPerMeterSquared on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains animal density of Sebastes auriculatus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Santa Barbara Coastal site, station Carpinteria Reef, Santa Barbara Channel, study of animal density of Sebastes auriculatus in units of numberPerMeterSquared on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains animal density of Sebastes auriculatus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Santa Barbara Coastal site, station Goleta Bay, Santa Barbara Channel, study of animal density of Sebastes auriculatus in units of numberPerMeterSquared on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains animal density of Sebastes auriculatus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Santa Barbara Coastal site, station Mohawk Reef, Santa Barbara Channel, study of animal density of Sebastes auriculatus in units of numberPerMeterSquared on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains animal density of Sebastes auriculatus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Santa Barbara Coastal site, station Naples Reef, Santa Barbara Channel, study of animal density of Sebastes auriculatus in units of numberPerMeterSquared on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains animal density of Sebastes auriculatus measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
dryad32/100

Data from: Estimation of genotyping error rate from repeat genotyping, unintentional recaptures and known parent-offspring comparisons in 16 microsatellite loci for brown rockfish (Sebastes auriculatus)

Genotyping errors are present in almost all genetic data and can affect biological conclusions of a study, particularly for studies based on individual identification and parentage. Many statistical approaches can incorporate genotyping errors, but usually need accurate estimates of error rates. Here, we used a new microsatellite data set developed for brown rockfish (Sebastes auriculatus) to estimate genotyping error using three approaches: (i) repeat genotyping 5% of samples, (ii) comparing unintentionally recaptured individuals and (iii) Mendelian inheritance error checking for known parent–offspring pairs. In each data set, we quantified genotyping error rate per allele due to allele drop-out and false alleles. Genotyping error rate per locus revealed an average overall genotyping error rate by direct count of 0.3%, 1.5% and 1.7% (0.002, 0.007 and 0.008 per allele error rate) from replicate genotypes, known parent–offspring pairs and unintentionally recaptured individuals, respectively. By direct-count error estimates, the recapture and known parent–offspring data sets revealed an error rate four times greater than estimated using repeat genotypes. There was no evidence of correlation between error rates and locus variability for all three data sets, and errors appeared to occur randomly over loci in the repeat genotypes, but not in recaptures and parent–offspring comparisons. Furthermore, there was no correlation in locus-specific error rates between any two of the three data sets. Our data suggest that repeat genotyping may underestimate true error rates and may not estimate locus-specific error rates accurately. We therefore suggest using methods for error estimation that correspond to the overall aim of the study (e.g. known parent–offspring comparisons in parentage studies).

opencc-zeroDec 2011View details →
dryad32/100

Data from: Reproductive ecology and isolation of Psittacanthus calyculatus and P. auriculatus mistletoes (Loranthaceae)

Background: Relationships between floral biology and pollinator behavior are important to understanding species diversity of hemiparasitic Psittacanthus mistletoes (c. 120 species). We aimed to investigate trait divergence linked to pollinator attraction and reproductive isolation (RI) in two hummingbird-pollinated and bird-dispersed Psittacanthus species with range overlap. Methods: We investigated the phylogenetic relationships, floral biology, pollinator assemblages, seed dispersers and host usage, and the breeding system and female reproductive success of two sympatric populations of P. calyculatus and P. auriculatus, and one allopatric population of P. calyculatus. Flowers in sympatry were also reciprocally pollinated to assess a post-mating component of RI. Results: Hummingbird assemblages differed between calyculatus populations, while allopatric plants of calyculatus opened more but smaller flowers with longer lifespans and produced less nectar than those in sympatry. Bayesian-based phylogenetic analysis indicated monophyly for calyculatus populations (i.e. both populations belong to the same species). In sympatry, calyculatus plants opened more and larger flowers with longer lifespans and produced same nectar volume than those of auriculatus; populations shared pollinators but seed dispersers and host usage differed between species. Nectar standing crops differed between sympatric populations, with lower visitation in calyculatus. Hand pollination experiments indicated a predominant outcrossing breeding system, with fruit set after interspecific pollination two times higher from calyculatus to auriculatus than in the opposite direction. Conclusions: Given the low genetic differentiation between calyculatus populations, observed trait divergence could have resulted from changes regarding the local communities of pollinators and, therefore, expected divergence for peripheral, allopatric populations. Using RI estimates, there were fewer heterospecific matings than expected by chance in P. calyculatus (RI4A = 0.629) as compared to P. auriculatus (RI4A = 0.20). When considering other factors of ecological isolation that affect co-occurrence, the RI4C values indicate that isolation by hummingbird pollinators was less effective (0.20) than isolation by host tree species and seed dispersers (0.80 and 0.60, respectively), suggesting that host usage is the most important ecological isolation factor between the two species. Accordingly, the absolute and relative cumulative strength values indicated that the host tree species' barrier is currently contributing the most to maintaining these species in sympatry.

opencc-zeroDec 2015View details →
zenodo32/100

FIGURE 14. Gothograptus auriculatus n in Evolutionary significance of the retiolitine Gothograptus (Graptolithina) with four new species from the Silurian of the East European Platform (Baltica), Poland and Lithuania

FIGURE 14. Gothograptus auriculatus n. sp., proximal ends of tubaria, Bartoszyce IG-1 core, depth 1645.2 m, praedeubeli Biozone, Poland. A. immature tubarium with the first three thecae, reverse view, ZPAL G.55/27. B. ventro-lateral side of tubarium, ZPAL G.55/28. C–E. reverse views of mature tubaria with very wide lists surrounding proximal lateral orifice and prongs; C. ZPAL G.55/23; D. lateral view, ZPAL G.55/29; F.

opennotspecifiedMar 2019View details →
zenodo32/100

FIGURE 3. Gothograptus auriculatus n in Evolutionary significance of the retiolitine Gothograptus (Graptolithina) with four new species from the Silurian of the East European Platform (Baltica), Poland and Lithuania

FIGURE 3. Gothograptus auriculatus n. sp., fragments of distal parts of tubaria showing a thick nema, Bartoszyce IG-1, depth 1647.2 m, praedeubeli Biozone, Poland. A–B, distal end of tubarium with broken appendix, ZPAL G.55/4, A, fragment with beginning of appendix, B, enlargement of last thecal region showing thick nema. C, lateral view of fragment of medial part of tubarium, ZPAL G.55/5.

opennotspecifiedMar 2019View details →
zenodo32/100

FIGURE 1. Chimonocalamus auriculatus. A in Chimonocalamus auriculatus, one more new temperate woody bamboo species of the genus (Poaceae: Bambusoideae: Arundinarieae) described from Thailand

FIGURE 1. Chimonocalamus auriculatus. A. Abaxial surface of a whole culm leaf; B. Portions of culm leaves, showing adaxial surface (left) and abaxial surface (right); C. Shoot; D. Portion of culm showing bud complement and nodes with a ring of root-thorns; E. Leafy branch. Drawn from S. Sungkaew, A. Teerawatananon & W. Sajia 1503 (BKF) by A. Teerawatananon.

opennotspecifiedJun 2018View details →
zenodo32/100

FIGURE 2. Chimonocalamus auriculatus A in Chimonocalamus auriculatus, one more new temperate woody bamboo species of the genus (Poaceae: Bambusoideae: Arundinarieae) described from Thailand

FIGURE 2. Chimonocalamus auriculatus A. Habit; B. Foliage leaves; C. Young culm showing nodes with a ring of root-thorns; D. Branch complements; E. Clump habit; F. Shoot, showing deltoid lobed auricles with oral setae. Photos by A. Teerawatananon.

opennotspecifiedJun 2018View details →
zenodo32/100

FIGURE 15. Eremanthus arboreus. A. Habit. E. argenteus. B. Syncephalia. E. erythropappus. C. Syncephalia. D. Habit. E. auriculatus. E. Habit. E. brevifolius. F. Inflorescence. E. glomerulatus. G. Syncephalia. E. elaeagnus. H. Habit. A.–H in A synopsis of Lychnophorinae (Asteraceae: Vernonieae)

FIGURE 15. Eremanthus arboreus. A. Habit. E. argenteus. B. Syncephalia. E. erythropappus. C. Syncephalia. D. Habit. E. auriculatus. E. Habit. E. brevifolius. F. Inflorescence. E. glomerulatus. G. Syncephalia. E. elaeagnus. H. Habit. A.–H. by B. Loeuille.

opennotspecifiedMar 2019View details →
zenodo32/100

FIGURE 3. Miagrammopes auriculatus n in Three species of hackled-orb web spider genus Miagrammopes from China (Araneae, Uloboridae)

FIGURE 3. Miagrammopes auriculatus n. sp., holotype, female. A, epigynum, ventral view. B, vulva, dorsal view. Abbreviations, CD, copulatory duct; CT, connecting tube; FD, fertilization duct; PB, prolateral bursa; RB, retrolateral bursa. Scale bars, A, B, 0.1 mm.

opennotspecifiedJul 2021View details →
zenodo32/100

FIGURE 2. Miagrammopes auriculatus n in Three species of hackled-orb web spider genus Miagrammopes from China (Araneae, Uloboridae)

FIGURE 2. Miagrammopes auriculatus n. sp., holotype, female. A, epigynum, ventral view. B, vulva, dorsal view. Abbreviations: CD, copulatory duct; CT, connecting tube; FD, fertilization duct; PB, prolateral bursa; RB, retrolateral bursa. Scale bars, A, B, 0.1 mm.

opennotspecifiedJul 2021View details →
zenodo32/100

FIGURE 1. Miagrammopes auriculatus n in Three species of hackled-orb web spider genus Miagrammopes from China (Araneae, Uloboridae)

FIGURE 1. Miagrammopes auriculatus n. sp., holotype, female. A, habitus, dorsal view; B, habitus, ventral view; C, habitus, lateral view; D, carapace, dorsal view; E, sternum, ventral view; F, leg I, retrolateral view. Scale bars: A–C, F, 1 mm; D, E, 0.5 mm.

opennotspecifiedJul 2021View details →

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Last verified 2026-04-29Open record