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ANOVA test results for Figure 5, as well as tables with post hoc results where all P values are presented in numerical form.
<p>ANOVA test results for Figure 5, as well as tables with post hoc results where all P values are presented in numerical form.</p>
Gene Ontology at level 3 of orthogroups present in Oopsacas and absent in all other sponge genomes.
<p>This graph represent the GO categories of orthogroups present in Oopsacas minuta and not shared with other sponges.</p>
Research data related to the article "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)"
<p><strong>Research Data related to the publication "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)" by Seibert et al. (2023) published in <em>Water Resources Research</em> </strong></p> <p>Dear reader,</p> <p>research data are provided for the article "Paleo-Hydrogeological Modeling to Understand Present-Day Groundwater Salinities in a Low-Lying Coastal Groundwater System (Northwestern Germany)" by Seibert et al. (2023). The authors hope that the research data allows for a better understanding of the paleo-modeling workflow. Feedback on the model files or questions regarding the modeling approach etc. can be addressed to the authors of the article, see contact details below. The research data comprises the following files:</p> <ul> <li>files related to the parameter estimation procedure using PEST (Doherty, 2021a,b) (see subfolder "<em>parameter_estimation</em>")</li> <li>iMOD-Python (Visser and Bootsma, 2019) scripts to create the iMOD-WQ (Verkaik et al., 2021) input files for each model variant. Note that model variants consist of several time slice models, indicated by the corresponding file names, e.g., '<em>Model_BC_slice_01.py'</em> etc. (see '<em>scripts.zip</em>' in the subfolders 'Model BC', 'Model CP', 'Model NE-ND-NP', 'Model NE-NP', 'Model NG', 'Model NP', 'Model R1', 'Model R2', 'Model R3', 'Model R4', 'Model R5', 'Model R6', 'Model SS')</li> <li>simulation output files, including concentration and head data for each model stress period (3-D), mean/max. concentration and head data for each model stress period (2-D), as well as depth [mbgs] of different salinity interfaces (2-D), i.e., marking the transitions from fresher to more saline groundwater using thresholds of 0.45 ('<em>depth_interface_mbgs</em>'), 1, 5, 10 and 20 g TDS L<sup>-1</sup>, respectively (see subfolders '<em>output/npy_arrays'</em> within each model variant subfolder). Moreover, sea levels, time slice names and stress period numbers are provided in the '<em>output/npy_arrays'</em> subfolders as well as final concentrations and heads (3-D) for each time slice model of each model variant (e.g., '<em>Model_BC_slice_01_final_concentrations.npz</em>' and '<em>Model_BC_slice_01_final_heads.npz</em>'; see '<em>output.zip'</em> in the model variant subfolders)</li> <li>iMOD-Python (Visser and Bootsma, 2019) input files, such as digital elevation models, geologic models etc. (see subfolder '<em>imod_input'</em>). However, in most cases no consent for re-distribution of these data sets exists, and they cannot be made freely available through this publication. Please, consult the corresponding meta-data files or get in touch with one of the authors for further information</li> <li>bash scripts for the execution of iMOD-Python .py- and iMOD-WQ .run-files in a linux environment (see subfolder '<em>bash_scripts'</em>)</li> <li>figure files as well as the corresponding .py and .m scripts and shape-files, where applicable (see subfolder '<em>figures'</em>); note that consent for re-distribution for some figure input files doesn't exist, compare corresponding meta-data files</li> <li>videos presenting the concentration evolution of the different model variants (vertically averaged concentrations & cross-sectonal view, see subfolder '<em>videos'</em>)</li> </ul> <p>Meta-data files are usually provided with data files in the different subfolders for clarification.</p> <p>iMOD-WQ (Verkaik et al., 2021) input data and .run-files were executed on the University Oldenburg High-Performance Cluster 'Carl', running simulations in parallel with 32 computational cores.</p> <p>Further information on the iMOD suite can be found here: https://deltares.github.io/iMOD-Documentation/</p> <p>Literature:</p> <p>Doherty, J. E., (2021a). PEST Model-Independent Parameter Estimation User Manual Part I: PEST, SENSAN and Global Optimisers. Watermark Numerical Computing. p.394.</p> <p>Doherty, J. E. (2021b). PEST Model-Independent Parameter Estimation User Manual Part II: PEST Utility Support Software. Watermark Numerical Computing. p.274.</p> <p>Verkaik, J., Hughes, J. D., van Walsum, P. E. V., Oude Essink, G. H. P., Lin, H. X., & Bierkens, M. F. P. (2021). Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument. Environmental Modelling & Software, 143, p.105092.</p> <p>Visser, M., & Bootsma, H. (2019). iMOD-Python: Work with iMOD MODFLOW models in Python. Retrieved from https://imod.xyz/</p> <p><strong>If you have further questions, please, contact one of the following authors</strong>: Stephan L. Seibert (stephan.seibert@uol.de), Janek Greskowiak (janek.greskowiak@uol.de) or Gudrun Massmann (gudrun.massmann@uol.de)</p>
High-resolution quasi-idealized experiments for future and present-day based upon composites from a decades-long set of recurving landfalling (RCL) North Atlantic ET cases
<p>We present a high-resolution quasi-idealized experiment based upon composites from a decades-long set of recurving landfalling (RCL) North Atlantic extratropical transition (ET) cases. Following Jung and Lackmann (2021), we apply the track-based classification method of Colbert and Soden (2012) to the historical database (1979 to 2018) of North Atlantic RCL ET events; recurving landfalling tropical cyclones (TCs) are defined as those which cross 70°W north of 25°N or cross 65W north of 40N and threaten the U.S. East Coast. We use the Atlantic Hurricane Database (HURDAT2) best-track data (Landsea and Franklin 2013); the track-based classification procedure yields 37 RCL ET cases over the 40-year period. To minimize the spread of the selected ET cases in terms of time to complete transition, we apply a threshold of 36 h as in Jung and Lackmann (2021). As HURDAT2 only specifies when transition is complete but does not provide the timeline of the transition, we supplement it with the cyclone phase space (CPS) method of Hart (2003) to diagnose onset and completion times of ET; ET events are first identified by HURDAT2 and then we compute the CPS parameters to confirm the ET timeline for each event using the ERA5 reanalysis dataset (Hersbach et al. 2020). This filtering process yields 21 RCL ET cases. This dataset is initialized by randomized 15-case composites selected from the 21 RCL ET cases as in Jung and Lackmann (2021). This dataset was used to produce figures and tables in the manuscript of Jung and Lackmann (2023, in review). </p> <p>Due to storage limitations, the full dataset is much too large to be published (~ 500GB). Instead, a subset consisting of 3-hourly atmospheric temperature at 17 vertical levels, zonal and meridional wind at 17 vertical levels, 3 hourly accumulated precipitation, mean sea level pressure, 10-m zonal and meridional wind, sea surface temperature, and relative humidity at 17 vertical levels is presented. If you wish to access the full dataset, please contact one of the authors. </p>
FIGURE 8 in Description of a novel termite ectoparasite, Termitaria hexasporodochia sp. nov. (Kathistaceae), presenting an unusual six-sectioned infestation, and a key to the fungal family Kathistaceae
FIGURE 8. Upper region structure of T. hexasporodochia sp. nov. A. Confocal stack image showing position of sporodochia on the ventral surface of Amitermes worker abdomen with six prominent elliptical sporodochia of T. hexasporodochia sp. nov. on ventral sternites 4, 5, and 6. Thick dark expiculum present along the periphery of each lesion. B. Confocal stack image just below the pad surface, showing sporodochia appears densely populated with 12,000–14,000 hexagonal pores (textura angularis), with the conidial spores (Cs) visible within each tubular hymenial channel leading to the apical pore. C. SEM image showing apical most surface of the hexagonal honeycomb of phialides, in contrast to the smooth, crust like expiculum (Ex) 4- Phialides terminate in two blunt bivalved flaps (Bf) that appear as two isosceles trapezoidal flaps that combine to form a hexagonal unit. Scale bars: C-100 μm, D-4 μm. Photographed by Steve Davis.
FIGURE 7. Phialide and spores SEM. A in Description of a novel termite ectoparasite, Termitaria hexasporodochia sp. nov. (Kathistaceae), presenting an unusual six-sectioned infestation, and a key to the fungal family Kathistaceae
FIGURE 7. Phialide and spores SEM. A. internal surface of the hymenial phialide, with dense minute filamentous coating B. Sporogenous structure prior to endogenous division at conidiogenous loci. C. Rectangular, catenate conidial spores located beyond the conidiogenous locus indicated by arrow. Scale bars: A—500 nm, B—3.0 μm, C—2 μm. Photographed by Steve Davis.
FIGURE 6 in Description of a novel termite ectoparasite, Termitaria hexasporodochia sp. nov. (Kathistaceae), presenting an unusual six-sectioned infestation, and a key to the fungal family Kathistaceae
FIGURE 6. Microscopic ultrastructure of T. hexasporodochia sp. nov. sporodochium. A. Transverse section of a single sporodochium resting upon the cuticle of the host. B. Transverse view of the bivalve flap terminations of the phialides. C. Rectangular conidia assemblage within the phialide are formed endogenously and in basipetal succession D. Fixed conidiogenous locus in which spore differentiation occurs (Cl) E. Basal region of the sporodochium in right corner of image showing initial phialidic growth, and left bottom of image shows thick haustorial layer (Hs) extending below the host cuticle (termite). F. Host cuticle (Hc) with underlaying haustoria. Scale bars: A—100 μm, B—5 μm, C—10 μm, D—50 μm, E—30 μm. Photographed by Steve Davis.
FIGURE 5. Sporodochial layers CLSM. A in Description of a novel termite ectoparasite, Termitaria hexasporodochia sp. nov. (Kathistaceae), presenting an unusual six-sectioned infestation, and a key to the fungal family Kathistaceae
FIGURE 5. Sporodochial layers CLSM. A. Upper region (UR), Sporogenous Region composed of a phialidic hymenium (SR), Basal region (BR) composed of haustorial mother cells and subhymenial layer that gives rise to SR. B. Basal most layer above insect cuticle 4-5 rows thick. White circle indicates thick haustorial mother cells that give rise to a subcuticular layer of haustoria that penetrates the host cuticle. White arrows indicate major penetration points between T. hexasporodochia sp. nov. and host cuticle. C. Confocal stack of tetralocular junctures between host cuticle and parasite. Photographed by Steve Davis.
FIGURE 3. T in Description of a novel termite ectoparasite, Termitaria hexasporodochia sp. nov. (Kathistaceae), presenting an unusual six-sectioned infestation, and a key to the fungal family Kathistaceae
FIGURE 3. T. hexasporodochia sp. nov. host. A. Dorsal view of soldier and worker caste morphology useful in termite species identification. Ventral view of un-infested worker and location of paired sporodochia on abdominal segments 4-6 on infested workers (rare). Corresponding confocal images of longitudinal abdominal muscles included on far right of figure, with apparent abdominal swelling in infested worker muscle. B. Light microscope images of intact un-infested termite worker and infested termite worker intact. Scale bars: 500 μm, 500 μm, 100 μm. Photographed by Steve Davis. Illustrated by Megan Wilson.
FIGURE 1 in Description of a novel termite ectoparasite, Termitaria hexasporodochia sp. nov. (Kathistaceae), presenting an unusual six-sectioned infestation, and a key to the fungal family Kathistaceae
FIGURE 1. Sporodochia forms. Schematic of various sporodochia lesions and positions. Representative forms are not exclusively found on these positions on the host, lesions can form on any external surface. Illustrated by Megan Wilson.
FIGURE 2 in Description of a novel termite ectoparasite, Termitaria hexasporodochia sp. nov. (Kathistaceae), presenting an unusual six-sectioned infestation, and a key to the fungal family Kathistaceae
FIGURE 2. Locality images and map, for termite host and fungi. Type- habitat, and map of Rupununi River Region locality. Photographed by Megan Wilson.
FIGURE 4 in Description of a novel termite ectoparasite, Termitaria hexasporodochia sp. nov. (Kathistaceae), presenting an unusual six-sectioned infestation, and a key to the fungal family Kathistaceae
FIGURE 4 Structural schematic of T. hexasporodochia sp. nov. Sporodochium section, (T=Transverse) in situ on its Amitermes host. SEM and Confocal images included for reference. Abbreviations used; Bm—Basement membrane, Hs—Haustoria, Hmc—Haustorial mother cells, Hp—Hymenial phialides, Cl—Conidigenous locus, Conidial spores, Phialide tips. Scale bars: sporodochium: 100 μm, hymenium: 30 μm. Illustrated by Steve Davis.
Works Cited of A Portrait of the Artist as an Irish Woman: An Analysis of Irish Female Artist Novels from the 1880s to the Present
<p>A Portrait of the Artist as an Irish Woman: An Analysis of Irish Female Artist Novels from the 1880s to the Present</p>
, phillipsi holotype. the M of of Measurements Measurements. . n purposes size sample comparative and , range for , SD shown ± 0 are as presented Lanka Sri and Measurements India in authors . occurring Lanka different Sri, Idulgashinna Miniopterus of of assortment from species an . by nov other. sp and specimens phillipsi species other . M new the of ) the while mm of (, TK measurements individuals by taken other were Cranial and types . 4. ABLE paratypes nov. T sp in DNA barcoding and morphological analyses reveal a cryptic species of Miniopterus from India and Sri Lanka
, phillipsi holotype. the M of of Measurements Measurements. . n purposes size sample comparative and , range for , SD shown ± 0 are as presented Lanka Sri and Measurements India in authors . occurring Lanka different Sri, Idulgashinna Miniopterus of of assortment from species an . by nov other. sp and specimens phillipsi species other . M new the of ) the while mm of (, TK measurements individuals by taken other were Cranial and types . 4. ABLE paratypes nov. T sp
Self-Presentation Differences in a Dating App: Results
<p>Results from the 'Self-Presentation Variations in a Dating Application' project. It includes the shareable processed data, which has been anonymized and simplified, as produced by the published analysis code. It also includes the necessary code to generate all the graphs and tables.</p>
FIGURE 2 in The life history of Hayesiana triopus (Westwood, 1847), with taxonomic notes on both present and former species of the genus Hayesiana Fletcher, 1982 (Lepidoptera: Sphingidae)
FIGURE 2. Hayesiana triopus: A–B: male from Mengla County, Yunnan; C–D: female from Pingguo, Guangxi. A: male, upperside; B: male, underside; C: female, upperside; D: female, underside. Scale bar = 10 mm.
FIGURE 10 in The life history of Hayesiana triopus (Westwood, 1847), with taxonomic notes on both present and former species of the genus Hayesiana Fletcher, 1982 (Lepidoptera: Sphingidae)
FIGURE 10. Differential diagnosis of Hayesiana triopus and Dahira farintaenia in dorsal view. A: antenna detail of male Dahira farintaenia (Shaanxi, China); B: antenna detail of male Hayesiana triopus (Yunnan, China); C: abdomen tufts of male Dahira farintaenia (Shaanxi, China); D: abdomen tufts of male Hayesiana triopus (Yunnan, China).
FIGURE 4 in The life history of Hayesiana triopus (Westwood, 1847), with taxonomic notes on both present and former species of the genus Hayesiana Fletcher, 1982 (Lepidoptera: Sphingidae)
FIGURE 4. Female genitalia of Hayesiana triopus from Khasia Hills, Assam, India. © The Trustees of the Natural History Museum, London, UK (downloaded from Kitching, 2022).
FIGURE 9 in The life history of Hayesiana triopus (Westwood, 1847), with taxonomic notes on both present and former species of the genus Hayesiana Fletcher, 1982 (Lepidoptera: Sphingidae)
FIGURE 9. Ecology records of adult Dahira farintaenia in China. A: mating pair; B: resting on a leaf; C: habitat of Dahira farintaenia, Hanzhong, Shaanxi Province.
FIGURE 1 in The life history of Hayesiana triopus (Westwood, 1847), with taxonomic notes on both present and former species of the genus Hayesiana Fletcher, 1982 (Lepidoptera: Sphingidae)
FIGURE 1. Life cycle of Hayesiana triopus from China. A: second instar larva; B: third instar larva; C: fourth instar larva; D: fifth instar larva; E: fifth instar larva before pupation; F: pupa.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.