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88 results for “Pandora”
Abb. 44-56 in Stenus maculifer CAMERON: eine Büchse der Pandora (Coleoptera, Staphylinidae) 365. Beitrag zur Kenntnis der Steninen
Abb. 44-56: Ausstülpspange des Medianlobus (44-51, 55), Spermatheka (52-54) und hintere Partie des 9. Sternits des Männchens (56) von Stenus cruentatus L. BENICK (HT, 44), S. maculifer CAMERON (Lektotypus, 45), S. maculipennis nov.sp. (HT, 46; PT Nagarkot, 50, 52), S. facialis L. BENICK (Bohea Hill, 47), S. oculativestis nov.sp. (HT, 48, PT, 54), S. pandora nov.sp. (HT, 49), S. oculivestitus nov.sp. (HT, 51), S. oculipennis nov.sp. (PTT, 53, 55, 56).- Massstab = 0,1mm.
Abb. 36-43 in Stenus maculifer CAMERON: eine Büchse der Pandora (Coleoptera, Staphylinidae) 365. Beitrag zur Kenntnis der Steninen
Abb. 36-43: Ventralansicht des Aedoeagus bzw. Details des Innenbaus des Medianlobus von Stenus facialis L. Benick (aus Tang, 2008, 36), S. maculipennis nov.sp. (PT, Kathmandu, 37), S. oculativestis nov.sp. (HT, 38), S. oculipennis nov.sp. (PTT, Phongsaly, 39, S Namshan, 40, 41), S. oculivestitus nov.sp. (HT, 42) und S. cf. oculativestis (Daxue Shan, 43).- Massstab = 0,1mm.
Abb. 12-23 in Stenus maculifer CAMERON: eine Büchse der Pandora (Coleoptera, Staphylinidae) 365. Beitrag zur Kenntnis der Steninen
Abb. 12-23: Metasterna von Stenus maculifer CAMERON (Lektotypus, 12), S. maculipennis nov.sp. (PTT, Laimatak, 13; Phulcoki, 14; ♀ Nagarkot, 15), S. facialis L. BENICK (Bohea Hill, 16), S. cruentatus L. BENICK (HT, 17), S. oculativestis nov.sp. (HT, 18), S. occultus nov.sp. (HT, 19), S. oculipennis nov.sp. (PT, 20), S. pandora nov.sp. (HT, 21), S. oculivestitus nov.sp. (HT, 22) und S. cf. maculipennis (Ban Hua, 23).
Fig. 27 in Taming an ichnotaxonomical Pandora's box: revision of dendritic and rosetted microborings (ichnofamily: Dendrinidae)
Fig. 27 (page 70). Rhopalondendrina avis igen. et isp. nov. A–E. Series of paratypes (A–D) and the holotype (E) showing the development from early ontogenetic stages to advanced stages with several orders of ramification and rosette-shaped plexus with typical increase of tunnel diameter and widening towards the periphery of the trace. SEM of epoxy casts of Lower Jurassic belemnites from the Glasenbach Gorge, Austria. F. Oblique view of C, showing arched nature of initial tunnel (arrow at left). G. SEM of an early ontogenetic stage of a specimen in an Upper Campanian belemnite from Kronsmoor, Germany. H. SEM of a more irregularly branching specimen in a belemnite from the Lower Maastrichtian of Rügen, Germany. I–K. Overview and two close-ups of a typical cluster in a belemnite from the Lower Maastrichtian of Rügen, Germany.
Fig. 24. Pyrodendrina arctica isp. nov. A–B in Taming an ichnotaxonomical Pandora's box: revision of dendritic and rosetted microborings (ichnofamily: Dendrinidae)
Fig. 24. Pyrodendrina arctica isp. nov. A–B. SEM planar and side views of the holotype found in epoxy cast of a shell of the bivalve Chlamys islandica (O.F. Müller, 1776) sampled off SW Svalbard. C–D. SEM overview and close-up of the paratype recoded in the same shell. E. SEM of a specimen from another (probably Holocene) bivalve shell sampled at a depth of 78 m in Straumsflaket, near Jan Mayen.
Fig. 22 in Taming an ichnotaxonomical Pandora's box: revision of dendritic and rosetted microborings (ichnofamily: Dendrinidae)
Fig. 22. Nododendrina nodosa Vogel, Golubic & Brett, 1987. A. SEM of holotype in an epoxy cast of the brachiopod Mediospirifer Bublichenko, 1959 from the Devonian at Lake Erie, New York, USA. B. A more densely branched and anastomosing growth form in an epoxy cast of Athyris McCoy, 1844 from the Devonian at Lake Erie, New York, USA.
Fig. 16 in Taming an ichnotaxonomical Pandora's box: revision of dendritic and rosetted microborings (ichnofamily: Dendrinidae)
Fig. 16. Dictyoporus balani (Tavernier, Campbell & Golubic, 1992) comb. nov. A. SEM of holotype (lower right corner) in an epoxy cast of a Pliocene Balanus shell (reproduced from Tavernier et al. 1992: fig. 1A). B. Close-up of holotype (reproduced from Tavernier et al. 1992: fig. 1D). C. Prostrate peripheral reticulum with rhizoidal connections to the substrate surface (reproduced from Tavernier et al. 1992: fig. 2B).
Fig. 2 in Taming an ichnotaxonomical Pandora's box: revision of dendritic and rosetted microborings (ichnofamily: Dendrinidae)
Fig. 2. Dendrina dendrina (Morris, 1851) comb. nov. A. Original illustration of belemnite with various traces, including D. dendrina (arrows; reproduced from Quenstedt 1849: pl. 30, fig. 36); provenance unresolved. B. Original amalgam, including D. dendrina (arrows and label "d"; reproduced from Quenstedt 1885: pl. 38, fig. 39). C. Re-illustration of original Quenstedt Dendrina (reproduced from Plewes 1996: pl. 22, fig. 5). D. Original illustrations of Talpina dendrina (= D. dendrina; reproduced from Morris 1851: pl. IV, figs 4–7; 5 = Talpina ramosa; 6a = Trypanites solitarius). E. Morris' original belemnite from the Upper Cretaceous of Norfolk, UK, including the lectotype of D. dendrina (encircled). F–G. Close-up of lectotype under incipient and transparent light; the inlet canal is clearly visible. H–I. Three paralectotypes in the same belemnite. J–K. Planar and oblique views of the holotype of junior synonym D. fluensis Hofmann, 1996, illustrating the typical multi-tier occurrence, irregular branching, and meandering galleries; SEM of epoxy cast of a belemnite from the lower Maastrichtian at Kronsmoor, Germany. L. Holotype of junior synonym D. crassa Hofmann, 1996, within the morphological range of D. dendrina; SEM of epoxy cast of a belemnite from the lower Maastrichtian at Kronsmoor, Germany.
Data from: Tropical Drosophila pandora carry Wolbachia infections causing cytoplasmic incompatibility or male killing
Wolbachia infections have been described in several Drosophila species, but relatively few have been assessed for phenotypic effects. Cytoplasmic incompatibility (CI) is the most common phenotypic effect that has been detected, while some infections cause male killing or feminization, and many Wolbachia infections have few host effects. Here, we describe two new infections in a recently described species, Drosophila pandora, one of which causes near-complete CI and near-perfect maternal transmission (the "CI" strain). The other infection is a male killer (the "MK" strain), which we confirm by observing reinitiation of male production following tetracycline treatment. No incompatibility was detected in crosses between CI strain males and MK strain females, and rare MK males do not cause CI. Molecular analyses indicate that the CI and MK infections are distantly related and the CI infection is closely related to the wRi infection of Drosophila simulans. Two population surveys indicate that all individuals are infected with Wolbachia, but the MK infection is uncommon. Given patterns of incompatibility among the strains, the infection dynamics is expected to be governed by the relative fitness of the females, suggesting that the CI infection should have a higher fitness. This was evidenced by changes in infection frequencies and sex ratios in population cages initiated at different starting frequencies of the infections.
Data from: Tropical Drosophila pandora carry Wolbachia infections causing cytoplasmic incompatibility or male killing
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Comprehensive Analysis of tsRNA Expression in Endometriosis using PANDORA-seq technology
GEO Series GSE283910. Homo sapiens. 12 samples. Type: Non-coding RNA profiling by high throughput sequencing.
PANDORA-seq: expanding the small RNA repertoire by overcoming RNA modifications
GEO Series GSE144666. Homo sapiens; Mus musculus. 201 samples. Type: Non-coding RNA profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Screening for Non-Invasive rsRNA Biomarkers to Assess Embryo Quality Using Ultra-Sensitive Pandora Sequencing Combined with Machine Learning
GEO Series GSE278434. Homo sapiens. 121 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Deciphering the Sperm RNA Code of Aging with PANDORA-seq
GEO Series GSE256182. Homo sapiens; Mus musculus. 154 samples. Type: Non-coding RNA profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Patients Derived Organoids as a Promising Tool to Tailor Ovarian Cancer Therapies (PANDORA).
ClinicalTrials.gov study NCT06229522. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Added-value of PSMA PET in Detecting Clinically Significant Prostate Cancer Lesions in Patients Undergoing MRI-targeted Biopsy. (PANDORA)
ClinicalTrials.gov study NCT06867588. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PANDORA-seq uncovers sensitive mitochondrial small RNA alterations associated with increased lysosome activity in an Alzheimer’s Disease Mouse Model
GEO Series GSE277483. Mus musculus. 30 samples. Type: Non-coding RNA profiling by high throughput sequencing.
TRACER-AQ Pandora Column Observations
TRACERAQ_Pandora_Data is the Pandora spectrometer data collected at various ground sites during the TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) field study. Data collection is complete.The TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign is a field study co-sponsored by NASA and TCEQ (Texas Commission on Environmental Quality), with partners from DOE (Department of Energy) TRacking Aerosol Convection ExpeRiment (TRACER), and several academic institutions. This synergistic effort aims to gain an updated understanding in photochemistry and meteorological impact on ozone formation in the Houston region, particularly around the Houston Ship Channel, Galveston Bay, and the Gulf of America; and provide observations for evaluating air quality models and satellite observations.The primary TRACER-AQ field observations period lasted from mid-August to late September 2021, coinciding with the peak ozone season in East Texas, with a second deployment in summer 2022 with a subset of ground-based assets. The observing system includes airborne remote sensing, mobile (boat/vehicle) laboratories, and stationary ground-based assets.The airborne component was based on the NASA Gulfstream V aircraft instrumented with GCAS (GEOCAPE Airborne Simulator) for making measurements of column NO2 and HCHO as well as a lidar system, HSRL-2 (High Spectral Resolution Lidar-2), to measure O3 and aerosol vertical profiles over the course of 12 flight days. Ground-based assets include ground-based ozone lidars from the Tropospheric Ozone Lidar Network (TOLNet), ceilometers, Pandora spectrometers, AErosol RObotic NETwork (AERONET) remote sensors, ozonesondes, and stationary and mobile laboratories of in situ air quality and meteorological observations. This coordinated observing system provides updated or unseen perspectives in spatial and temporal distribution of the key photochemical species and atmospheric structure information, particularly with a focus on the temporal evolution of observations throughout the daytime in preparation for upcoming geostationary satellite air quality observations.
DISCOVER-AQ Colorado Deployment Pandora Column Observations
DISCOVERAQ_Colorado_Pandora_Data contains all of the Pandora instrumentation data collected during the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. Contained in this dataset are column measurements of NO2 and O3. Pandoras were situated at various ground sites across the study area, including BAO Tower, Chatfield Park, Denver-LaCasa, Fort Collins, NREL-Golden, Platteville, Boulder, Niwot Ridge, Rocky Flats, Table Mtn and Weld Tower. This data product contains only data from the Colorado deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.
SCOAPE Pandora Column Observations
SCOAPE_Pandora_Data is the column NO2 and ozone data collected by Pandora spectrometers during the Satellite Coastal and Oceanic Atmospheric Pollution Experiment (SCOAPE). Pandora instruments were located on the University of Southern Mississippi’s Research Vessel (R/V) Point Sur and at the Louisiana Universities Marine Consortium (LUMCON; Cocodrie, LA). Data collection for this product is complete.The Outer Continental Shelf Lands Act (OCSLA) requires the US Department of Interior Bureau of Ocean Energy Management (BOEM) to ensure compliance with the US National Ambient Air Quality Standard (NAAQS) so that Outer Continental Shelf (OCS) oil and natural gas (ONG) exploration, development, and production do not significantly impact the air quality of any US state. In 2017, BOEM and NASA entered into an interagency agreement to begin a study to scope out the feasibility of BOEM personnel using a suite of NASA and non-NASA resources to assess how pollutants from ONG exploration, development, and production activities affect air quality. An important activity of this interagency agreement was SCOAPE, a field deployment that took place in May 2019, that aimed to assess the capability of satellite observations for monitoring offshore air quality. The outcomes of the study are documented in two BOEM reports (Duncan, 2020; Thompson, 2020).To address BOEM’s goals, the SCOAPE science team conducted surface-based remote sensing and in-situ measurements, which enabled a systematic assessment of the application of satellite observations, primarily NO2, for monitoring air quality. The SCOAPE field measurements consisted of onshore ground sites, including in the vicinity of LUMCON, as well as those from University of Southern Mississippi’s R/V Point Sur, which cruised in the Gulf of America from 10-18 May 2019. Based on the 2014 and 2017 BOEM emissions inventories as well as daily air quality and meteorological forecasts, the cruise track was designed to sample both areas with large oil drilling platforms and areas with dense small natural gas facilities. The R/V Point Sur was instrumented to carry out both remote sensing and in-situ measurements of NO2 and O3 along with in-situ CH4, CO2, CO, and VOC tracers which allowed detailed characterization of airmass type and emissions. In addition, there were also measurements of multi-wavelength AOD and black carbon as well as planetary boundary layer structure and meteorological variables, including surface temperature, humidity, and winds. A ship-based spectrometer instrument provided remotely-sensed total column amounts of NO2 and O3 for direct comparison with satellite measurements. Ozonesondes and radiosondes were also launched 1-3 times daily from the R/V Point Sur to provide O3 and meteorological vertical profile observations. The ground-based observations, primarily at LUMCON, included spectrometer-measured column NO2 and O3, in-situ NO2, VOCs, and planetary boundary layer structure. A NO2sonde was also mounted on a vehicle with the goal to detect pollution onshore from offshore ONG activities during onshore flow; data were collected along coastal Louisiana from Burns Point Park to Grand Isle to the tip of the Mississippi River delta. The in-situ measurements were reported in ICARTT files or Excel files. The remote sensing data are in either HDF or netCDF files.
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