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Fig. 2 in Meiobenthic Polychaete Dinophilus sp. cf. gyrociliatus (Annelida: Dinophilidae) from Japan with SEM Observation and DNA Barcodes

Fig. 2. SEM images of Dinophilus sp. cf. gyrociliatus (RCMB, ICHUM-6114). A, Whole specimen, dorsal view, numbers indicate ciliary bands; B, anterior end, dorsal view; C, anterior end, ventral view; D, whole specimen, ventral view; E, anterior end, dorsolateral view, showing nuchal organ (arrow); F, posterior end, dorsal view. Scale bars: A, D, 300 µm; B, C, 100 µm; E, F, 50 µm.

Fig. 4 in Meiobenthic Polychaete Dinophilus sp. cf. gyrociliatus (Annelida: Dinophilidae) from Japan with SEM Observation and DNA Barcodes

Fig. 4. Dinophilus sp. cf. gyrociliatus, live specimens (RCMB, no voucher remains) cultured from the same parent of the specimens that was used for the molecular work. A, Dwarf male, dorsal view; B, dwarf male, lateral view; C, dwarf male (arrowhead) in an egg capsule together with a female (indicated by an arrow); D, dwarf male in an egg capsule left by a female. Scale bars: A, C, D, 50 µm; B, 20 µm.

Fig. 1 in Meiobenthic Polychaete Dinophilus sp. cf. gyrociliatus (Annelida: Dinophilidae) from Japan with SEM Observation and DNA Barcodes

Fig. 1. Dinophilus sp. cf. gyrociliatus, live female specimen (RCMB, non-deposited specimen, cultured from the same parent of the specimens that was used for the molecular work). A, Stereoscopic microscope image, dorsal view; B, light microscopic image, dorsal view. Arrows indicate eggs. Scale bars: A, B, 100 µm.

Fig. 3 in Meiobenthic Polychaete Dinophilus sp. cf. gyrociliatus (Annelida: Dinophilidae) from Japan with SEM Observation and DNA Barcodes

Fig. 3. SEM images of Dinophilus sp. cf. gyrociliatus (MMBS, ICHUM-6115). A, Whole specimen, dorsal view; B, anterior end, dorsal view; C, anterior end, ventral view; D, whole specimen, ventral view. Scale bars: A, 100 µm; B, C, 50 µm; D, 200 µm.

opencc-by-4.0Jul 2020View details →

Figure 2 in First record of Planchonia stentae (Brain, 1920) (Hemiptera: Coccomorpha: Asterolecaniidae) on Asclepias curassavica Linnaeus, 1753 (Gentianales: Asclepiadaceae) in Mexico, with observations on parasitic Encyrtidae

Figure 2. Illustration of mature adult female of Planchonia stentae with ventral characters on right side and dorsal characters on left side. Size: 1–2.5 mm. a) Body with mouthparts in upper third. b) Dorsal 8-shaped pores. c) Dorsal simple disk pores. d) Tubular ducts. e) Anal lobes with arched plate, anal plates, and anal ring (see Fig. 1C-1E for details of structures). f) Antennae. g) Spiracles. h) Ventral 8-shaped pores. i) Ventral simple disk pores. j) Quinquelocular pores. k) Multilocular pores. l–m) Multilocular pores with fringed edges. n) Setae. For more detailed taxonomic data, see Stumpf and Lambdin (2006). Illustration taken with permission from Stumpf and Lambdin (2006). © C. Stumpf.

opencc-by-4.0Jul 2020View details →

Figure 1 in First record of Planchonia stentae (Brain, 1920) (Hemiptera: Coccomorpha: Asterolecaniidae) on Asclepias curassavica Linnaeus, 1753 (Gentianales: Asclepiadaceae) in Mexico, with observations on parasitic Encyrtidae

Figure 1. Adult females of Planchonia stentae. A) Adult females (arrows) on the stem of Asclepias curassavica. B) Whole body. C) Anal ring (r) with setae (s), arched plate (a) and anal plate (asterisk). D) Lateral abdominal margin with 8-shaped pores in double or triple row (arrows). E) Multilocular pore bands (arrows), with locular plates of multilocular pores with fringed edges (insert); anal ring (r). Scales: B = 0.2 mm. C = 50 µm. D = 20 µm. E = 50 µm. Insert = 6.0 µm.

opencc-by-4.0Feb 2021View details →

Figure 2 in The eriophyid mite Aculops ailanthi Lin, Jin, & Kuang, 1997 (Acariformes: Prostigmata: Eriophyidae) from tree-of-heaven in the United States - new state records and morphological observations

Figure 2 Stereomicrographs (2a–b) and SEMs (2c–f) ofAculops ailanthi: General aspect of colonies on leaves and morphological traits:** 2a–b – prodorsal shield; 3c – mite infestation of a leaf; 2d – mite feeding on a trichome; 2e – nymph next to an egg, note the lack of reticulate cells on the prodorsal shield; 2f – dorsum.

opencc-by-4.0Feb 2021View details →

Figure 1 in The eriophyid mite Aculops ailanthi Lin, Jin, & Kuang, 1997 (Acariformes: Prostigmata: Eriophyidae) from tree-of-heaven in the United States - new state records and morphological observations

Figure 1 Treeofheaven damaged byAculops ailanthi Lin, Jin, & Kuang feeding: 1a – healthy leaf without mite infestation; 1b – leaf showing severe stippling; 1c – leaf showing yellowing, stippling, and necrosis; 1d – leaf necrosis; 1e – mites on leaf surface after an application of a 2% solution of MPede insecticidal soap.

IFU Observations of Collimated Bipolar Outflows in Wolf-Rayet Planetary Nebulae

IFU Observations of Collimated Bipolar Outflows in Wolf-Rayet Planetary Nebulae A large fraction of planetary nebulae have been found to have aspherical morphologies with collimated outflows. We do not fully comprehend how these axisymmetric morphologies are formed. I recently conducted kinematic studies of a sample of Galactic planetary nebulae around Wolf-Rayet stars using integral field unit (IFU) observations collected with the ANU 2.3-m telescope. I constrained their 3D morpho-kinematic models with position-velocity (P-V) diagrams and velocity channel maps extracted from IFU observations, together with archival high-resolution imaging observations, using the kinematic modeling program SHAPE (<a href="https://arxiv.org/abs/2107.03994">arXiv:2107.03994</a>). Collimated bipolar outflows are noticeable in the P-V diagrams of many of these objects, while their main shells have elliptical morphologies based on IFU velocity channel maps and high-resolution images. Further studies are required to explore possible links between their bipolar outflows and hydrogen-deficient Wolf-Rayet central stars. Pitch Talk presented at IAU Symposium 366: The Origin of Outflows in Evolved Stars (<a href="https://iaus366.be/">iaus366.be</a>), Virtual Meeting, 1-5 November 2021

opencc-by-4.0Jul 2021View details →

GWTC-2.1: Deep Extended Catalog of Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run - Candidate Data Release

Data associated with candidates in <a href="https://dcc.ligo.org/LIGO-P2100063/public">GWTC-2.1</a>. These are gravitational-wave candidates from the first half of the third observing run (O3a) of the Advanced LIGO and Virgo detectors that pass a false alarm rate threshold of 2/day. We upload a tar file (search_data_GWTC2p1.tar.gz) containing all the data and a python notebook (search_data.ipynb) which provides description on how to use the files contained in the dataset.

opencc-by-4.0Jan 2021View details →

Global estimates of marine gross primary production based on machine‐learning upscaling of field observations

4 variables (excluding dimension variables): double GPP_LD_MLD_RF[Lon,Lat,Month]             units: mmol O2 m-2 d-1          fill value: NaN          long_name: Monthly mixed-layer integration of gross primary production trained from the                              dataset determined by the light-dark bottle incubation using Random Forest                              algorithm         coordinates: [Longitude, Latitude Month] double GPP_LD_ZEU_RF[Lon,Lat,Month]                units: mmol O2 m-2 d-1             fill value: NaN             long_name: Monthly euphotic-zone integration of gross primary production trained from                                 the dataset determined by the light-dark bottle incubation using Random                                  Forest algorithm             coordinates: [Longitude, Latitude Month] double GPP_Triple_MLD_RF[Lon,Lat,Month]                units: mmol mmol O2 m-2 d-1             fillvalue: NaN             long_name: Monthly mixed-layer integration of gross primary production trained from                                 the dataset determined by the triple isotopes of dissolved oxygen using                                 Random Forest algorithm             coordinates: [Longitude, Latitude Month]          double GPP_Triple_ZEU_RF[Lon,Lat,Month]                units: mmol O2 m-2 d-1             fill value: NaN             long_name: Monthly euphotic-zone integration of gross primary production trained from                                  the dataset determined by the triple isotopes of dissolved oxygen using                                Random Forest algorithm 3 dimensions:         Lon  Size:181             units: degree_north             long_name: Longitude         Lat  Size:91             units: degree_east             long_name: Latitude         Month  Size:13             units: Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec, Annuual_mean             long_name: Month Author: Yibin Huang & Nicolas Cassar Correspond: nicolas.cassar@duke.edu          Request_for_citation: If you use these data in publications or presentations, please cite: Huang,                                     Y., Nicholson, D., Huang, B., & Cassar, N. (2021). Global estimates of                                      marine gross primary production based on machine‐learning upscaling of                                      field observations. Global Biogeochemical Cycles, 35, e2020GB006718.                                      https://doi.org/10.1029/2020GB006718   Creation date: Dec/6th/2021

Optical polarimetric observations of low-mass X-ray black hole binary MAXI J1820+070 during 2019-2021

The dataset contains raw polarimetric FITS images of the low-mass X-ray black hole binary <a href="https://www.astronomerstelegram.org/?read=11399">MAXI J1820+070</a> (and surrounding field), obtained by the <a href="https://doi.org/10.3847/1538-3881/abc74f">DIPol-UF </a>optical CCD polarimeter in three (BVR) filters while mounted on the 2.56m <a href="https://www.not.iac.es">Nordic Optical Telescope</a>. The data were collected over 5 observing runs throughout 2019--2021. During each observing night, a set of calibration images were also obtained. These typically include 7 dark and 7 bias images per filter per night (sometimes more if weather conditions or instrument settings changed during observations). Bias and dark FITS files have `_bias` or `_dark` labels in their names, as well as FITS key `IMAGETYP` set to either `Bias Frame` or `Dark Frame`, respectively.

Using satellite observations to evaluate model microphysical representation of Arctic mixed-phase clouds

This is data from several atmosphere-only GCM experiments used to investigate the impacts of changing mixed-phase microphysical parameters in the CAM6 atmospheric model. Details and results from these simulations is presented in the submitted manuscript "Using satellite observations to evaluate model microphysical representation of Arctic mixed-phase clouds". A preprint of this manuscript can be found at https://www.essoar.org/doi/10.1002/essoar.10506728.2. An included README file describes organization of files. For any questions, please contact jonah.shaw@colorado.edu.

Statistical data for "Van Allen Probes Observations of Oxygen Ion Cyclotron Harmonic Waves: Statistical Study "

This file contains parameters for the identified oxygen ion cyclotron harmonic (OCH) waves observed by Van Allen Probes. The meaning of each column is shown as follows. Column #1: the name of Van Allen Probe, A or B. Column #2: event start day Column #3: event end day Column #4: event start hour Column #5: event strat minute Column #6: event end hour Column #7: event end minute Column #8: MLT, columns(t, MLT) Column #9: MLAT, columns(t, MLAT) Column #10: L-shell, columns(t, L-shell) Column #11: lower frequency limit Column #12: upper frequency limit Column #13: distance to the plasmapause, the positive and negative values correspond to outside and inside the plasmapause, respectively. Column #14: wave normal angle, columns (t, WNA) Column #15: the ratio of the frequency spacing between two consecutive wave harmonics to the local oxygen ion gyrofrequency.  Column #16: root-mean-square amplitude, columns(t, Bw) Column #17: AE*

opencc-by-4.0Nov 2021View details →

BHBH simulations from: Impact of Massive Binary Star and Cosmic Evolution on Gravitational Wave Observations II: Double Compact Object Mergers

The data for all BHBH simulations shown in "Impact of Massive Binary Star and Cosmic Evolution on Gravitational Wave Observations II: Double Compact Object Mergers".  Broekgaarden et al. (2021, submitted, preprint: <a href="https://arxiv.org/abs/2112.05763">https://arxiv.org/abs/2112.05763</a>)   Contents:  <ul> <li>18 zip files that each contain an hdf5 file with the raw data for one of the simulations from Table 1 in the paper. The only exception is the fiducial.zip file and the unstableCaseBB.zip file, which contain both the fiducial (model A) and 'optimistic CE' (model K) data file and the "unstable case BB" (model E)  and "unstable case BB + optimistic CE" (model F) files. These zip files are:  <ul> <li>fiducial.zip,  the Fiducial model (A) and Optimistic CE model (K)</li> <li>massTransferEfficiencyFixed_0_25.zip, the \(\beta\) = 0.25 model (B) </li> <li>massTransferEfficiencyFixed_0_5.zip, the \(\beta\) = 0.5 model (C) </li> <li>massTransferEfficiencyFixed_0_75.zip, the \(\beta\) = 0.75 model (D)</li> <li>unstableCaseBB.zip, the unstable case BB mass transfer model (E) and unstable case BB & optimistic CE model (F) </li> <li>alpha0_1 zip, the \(\alpha = 0.1\) model (G) </li> <li>alpha0_5.zip, the \(\alpha = 0.5\) model (H) </li> <li>alpha2_0.zip, the \(\alpha = 2.0\) model (I) </li> <li>alpha10_0.zip, the \(\alpha = 10.0\) model (J) </li> <li>rapid.zip, the rapid SN model (L) </li> <li>maxNSmass2_0.zip, the max \(m_{\rm{NS}} = 2\, \rm{M}_{\odot}\) model (M) </li> <li>maxNSmass3_0.zip, the max \(m_{\rm{NS}} = 3\, \rm{M}_{\odot}\) model (N)</li> <li>noPISN.zip, the no PISN model (O) </li> <li>ccSNkick_100km_s.zip, the \(\sigma_{\rm{cc}}\)= 100 km/s model (P) </li> <li>ccSNkick_30km_s.zip, the \(\sigma_{\rm{cc}}\)= 30 km/s model (Q)</li> <li> noBHkick.zip, the no BH SN kick model (R)</li> <li>wolf_rayet_multiplier_0_1.zip, the model with Wolf-Rayet wind factor \(f_{\rm{WR}} = 0.1\) (S)</li> <li>wolf_rayet_multiplier_5.zip, the model with Wolf-Rayet wind factor \(f_{\rm{WR}} = 5\) (T)  </li> </ul> </li> <li>2 more zip files containing csv files with the summarized rates to create Figures 1, 2 and 3, which do not require downloading the entire dataset, but instead use these csv files with the summarized rates:  <ul> <li>csvFilesForFigure1_DCOpaper.zip # contains the files to recreate figure 1 with the merger rates per metallicity for BH-BH, BH-NS and NS-NS: <ul> <li>formationRatesTotalAndPerChannel_BHBH_.csv</li> <li>formationRatesTotalAndPerChannel_BHNS_.csv</li> <li>formationRatesTotalAndPerChannel_NSNS_.csv</li> </ul> </li> <li>csvFilesForFigure2_and_3_DCOpaper.zip # contains the files to recreate figure 2 with the merger rates for intrinsic and GW detection weighted, containing the csv files with names:  <ul> <li>rates_MSSFR_Models_BHBH_AllDCOsimulation.csv</li> <li>rates_MSSFR_Models_NSNS_AllDCOsimulation.csv</li> <li>rates_MSSFR_Models_BHNS_AllDCOsimulation.csv</li> </ul> </li> </ul> </li> </ul>   Details of how to use the data (a readme),  as well as scripts to reproduce all results, plots, and figures from the paper are given in the accompanying Github repository <a href="https://github.com/FloorBroekgaarden/Double-Compact-Object-Mergers">https://github.com/FloorBroekgaarden/Double-Compact-Object-Mergers</a>  If you use this data, please cite  Broekgaarden et al. (2021): see <a href="https://ui.adsabs.harvard.edu/abs/2021arXiv211205763B/abstract">https://ui.adsabs.harvard.edu/abs/2021arXiv211205763B/abstract</a>

opencc-by-4.0Nov 2021View details →

Training and test data for retrievals based on MiRAC-P observations during MOSAiC

The dataset consists of one netCDF file that contains the entire training and test data for the retrieval of integrated water vapour (prw) from brightness temperatures (tb) measured by the MiRAC-P (microwave radiometer for Arctic clouds, aka. LHUMPRO-243-340). A neural network retrieval has been developed to derive the prw. The trained retrieval is applied on the MiRAC-P observations gathered onboard the research vessel Polarstern during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. For the data to be specialized on Arctic conditions they are based on ERA-Interim reanalysis. An IDL-based radiative transfer model has been used to simulate brightness temperatures. The elevation angle (ele) is always 90° because the MiRAC-P performed zenith scans only throughout the MOSAiC campaign.

opencc-by-4.0Jan 2022View details →

Increased Cardiac Pi/PCr in the Diabetic Heart Observed Using Phosphorus Magnetic Resonance Spectroscopy at 7T

The uploaded data relate to the work of Valkovič et al. entitled "Increased Cardiac Pi/PCr in the Diabetic Heart Observed Using Phosphorus Magnetic Resonance Spectroscopy at 7T." submitted in 2022 The data consist of the anonymised in vivo data of healthy volunteers and T2DM patients, in Siemens DICOM format, acquired as described in the manuscript. The uploaded data also include all analysed STEAM data results with visualised MR spectra and fitted values of PCr and Pi, used for Pi/PCr calculation.

Figures 10–19 in New larval host plants and ecological observations on North American Cerambycidae (Coleoptera)

Figures 10–19. Larval host plants of Cerambycidae. 10) An old log of Quercus alba covered with lichens and mosses that harbored Typocerus lugubris, exit holes in the inset. 11–12) Quercus sp. stem girdled by Aneflomorpha fisheri. 13) Elongated future emergence hole of Aneflus paracalvatus in Prosopis velutina (holes of A. calvatus in Senegalia greggii are similar). 14) Fig. 13 after removal of a layer of wood – plug in the turn is visible, remnants of the tunnel leading to the plug can be seen due to their darker color. 15) Sclerotized terminal segment of Aneflus levettei larva (dorsal view). 16) Larva of Aneflus calvatus (ventral view) with the terminal segment bearing spikes but not having the area between them sclerotized. 17) Holes along a branch of Quercus emoryi through which Atylostagma glabra expelled frass. 18) Empty central tunnels of A. glabra (split branch from Fig. 17). 19). Future emergence holes of A. glabra on a branch of Quercus emoryi.

Figures 1–7 in New larval host plants and ecological observations on North American Cerambycidae (Coleoptera)

Figures 1–7. Larval host plants of Cerambycidae. 1–2) Decayed branches of Fagus grandifolia utilized by Sphenostethus taslei, emergence hole is in Fig. 1, exposed larva in a gallery in Fig. 2. 3–4) Stump of Prunus serotina with emergence holes from Lepthorhabdium pictum. 5) Quercus falcata with a basidiocarp of Phellinus everhartii and an emergence hole from Stenelytrana emarginata (enlarged in the inset). 6) Quercus emoryi with resupinate basidiocarp of Inonotus andersonii. 7) Old emergence holes of Stenelytrana splendens in an oak with an old resupinate basidiocarp of Inonotus andersonii.

Figures 20–26 in New larval host plants and ecological observations on North American Cerambycidae (Coleoptera)

Figures 20–26. Larval host plants of Cerambycidae. 20) Galleries of Haplidus laticeps in Vachelia constricta. 21) One sealed opening in a branch of Quercus used by larvae of Metaleptus batesi to expel frass (enlarged in inset). 22) Exit holes of Obrium rubidium on a dead limb of Robinia pseudoacacia (enlarged in inset). 23) Galleries of O. rubidium on a cross-section. 24) Elongated exit holes of Smodicum cucujiforme in a scar on living Quercus (enlarged in the inset). 25) A pile of yellow granular frass around a base of living Mimosa expelled by larvae of Stenaspis solitaria. 26) Pink pupa of Sternidius alpha.