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Figures 1-19 from: de Sousa VR, Pereira AFM, Couri MS (2020) On Aethiopomyia Malloch (Diptera, Muscidae) with the revision of the type specimens deposited in the Museum für Naturkunde, Berlin (Germany) with a key to species. ZooKeys 926: 73-80. https://doi.org/10.3897/zookeysw.926.49210
Figures 1-19 1–5Aethiopomyia arguta (Karsch, 1879) lectotype ♂ of Aricia arguta Karsch: 1 lateral view 2 dorsal view 3 head frontal view 4 pulvilli 5 labels 6–10Aethiopomyia gigas (Stein, 1906) syntype ♂: 6 lateral view 7 dorsal view 8 head frontal view 9 pulvilli 10 labels 11–14Aethiopomyia patersoni Zumpt, 1969 Paratype ♀: 11 lateral view; 12 dorsal view 13 head frontal view 14 labels 15–19Aethiopomyia williamsi (Snyder, 1951) ♀ of Lophomala anax Enderlein, 1927, nomen nudum: 15 lateral view 16 dorsal view 17 head frontal view 18 wing 19 labels. Scale bars: 5 mm (1–3, 5, 6–8, 10–19); 1 mm (4, 9).
Figures 20-30 from: de Sousa VR, Pereira AFM, Couri MS (2020) On Aethiopomyia Malloch (Diptera, Muscidae) with the revision of the type specimens deposited in the Museum für Naturkunde, Berlin (Germany) with a key to species. ZooKeys 926: 73-80. https://doi.org/10.3897/zookeysw.926.49210
Figures 20-30 Aethiopomyia arguta (Karsch, 1879) 20 aedeagus lateral view. Aethiopomyia gigas (Stein, 1906) 21 Sternite 5 22 cercal plate, lateral view 23 cercal plate, dorsal view 24 aedeagus dorsal view 25 aedeagus lateral view 26 ovipositor, dorsal view 27 ovipositor, ventral view 28 spermathecae 29 larva 30 detail of the anterior spiracle of larva. Scale bars: 0.2 mm 20–27, 29, 30; 0.1 mm 20, 28.
Repackaged Full ITIS Data Set (MS SQL Server)
<p>Retrieved 18 May 2020, from the Integrated Taxonomic Information System (ITIS) (<a href="http://www.itis.gov">http://www.itis.gov</a>). via https://www.itis.gov/downloads/itisMSSql.zip .</p> <p>The archive itisMSSql.zip was unzipped, and repackaged as individual gzipped files. The original zip file is included in this data publication.</p> <p>Files in this publication:</p> <p>1. itisMSSql.zip - file downloaded from https://www.itis.gov/downloads/itisMSSql.zip on 18 May 2020</p> <p>2. Files ending with .gz (e.g., taxonomic_units.gz, taxonomic_units.gz, synonym_links.gz) - repackaged, gzipped, content of itisMSSql.zip</p> <p> </p> <p> </p>
Chemical characteristics of the assigned elemental formulas from the FT-ICR MS data of aerosol-derived organic matter simultaneously collected in Beijing, China and Gwangju, Korea in January 2018
<p>In this study, ambient fine particles (PM2.5) were simultaneously collected in two urban cities in China and Korea (Beijing and Gwangju, respectively) in January 2018. Comprehensive compositional analysis of the organic matter (OM) samples, extracted using dichloromethane, was performed on a 15 Tesla Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometer equipped with an atmospheric pressure photoionization (APPI) interface in positive ion mode. Analysis of the nonpolar and semipolar OM using APPI FT-ICR MS revealed that CHO and CHON accounted for more than 90% of the total intensity of the OM peaks. Higher proportions of CHON compounds were observed during PM2.5 events (i.e., days with abnormally high PM2.5 levels) at both sites than on regular or non-event days. </p>
Data from: Clinically relevant cranio-caudal patterns of cervical cord atrophy evolution in MS
Objectives. To characterize the distribution and regional evolution of cervical cord atrophy in multiple sclerosis (MS) patients in a multicentre dataset. Methods. MRI and clinical evaluations were acquired from 179 controls and 435 patients (35 clinically isolated syndromes [CIS], 259 relapsing-remitting [RR], 99 secondary-progressive [SP] and 42 primary-progressive [PP]MS). Sixty-nine controls and 178 patients underwent a one-year MRI and clinical follow-up. Patients were classified as clinically stable/worsened according to their disability change. Longitudinal changes of cord atrophy were investigated with linear mixed-effect models. Sample size calculations were performed using age-, sex- and site-adjusted annualized percentage normalized cord cross-sectional area (CSAn) changes..Results. Baseline CSAn was lower in MS patients vs controls (p<0.001), but not different between controls and CIS or between early RRMS (disease duration<5 years) and CIS patients. Late RRMS (disease duration>5 years) showed significant cord atrophy vs early RRMS (p=0.02). Progressive MS patients had decreased CSAn (p<0.001) vs RRMS. Atrophy was located between C1/C2 and C5 in RRMS vs CIS, and widespread along the cord in progressive MS vs RRMS, with an additional C5/C6 involvement in SPMS vs PPMS. At follow-up, CSAn decreased in all phenotypes (p<0.001), except CIS. Cord atrophy rates were highest in early RRMS and clinically worsened patients, who had a more widespread cord involvement than stable patients. The sample size per arm required to detect a 50% treatment effect was 118 for early RRMS patients. Conclusions. Cord atrophy increased in MS during one year, except for CIS. A faster atrophy contributed to explain clinical worsening.
Figure 3 from: Letardi A, Abdel-Dayem MS, Al Dhafer HM (2020) New faunal data on lacewings (Insecta, Neuroptera) collected from Saudi Arabia. ZooKeys 936: 111-148. https://doi.org/10.3897/zookeys.936.49962
Figure 3 Habitus of lacewing species in Saudi Arabia AGoniocercus walkeriBStenares irroratusCCentroclisis speciosaDOmoleon jeanneliEGepus invisusFNeuroleon pardaliceGStylascalaphus krueperiHAspoeckiella gallagheri.
Figure 2 from: Letardi A, Abdel-Dayem MS, Al Dhafer HM (2020) New faunal data on lacewings (Insecta, Neuroptera) collected from Saudi Arabia. ZooKeys 936: 111-148. https://doi.org/10.3897/zookeys.936.49962
Figure 2 Zoogeographical composition of lacewing fauna in Saudi Arabia 1 afro-syroeremic 2 afrotropical 3 Arabian Endemic 4 afro-syro-iranoeremic 5 Saudi Endemic 6 syro-iranoeremic 7 palaearctic 8 afro-asianeremic 9 asianeremic 10 Palaearctic-Afrotropical-Oriental 11 syroeremic.
Evidence for fluids at the hypocenter of the 2017 Ms 7.0 Jiuzhaigou earthquake revealed by local earthquake tomography
<p>This dataset presented here is used in the manuscript entitled "Evidence for fluids at the hypocenter of the 2017 Ms 7.0 Jiuzhaigou earthquake revealed by local earthquake tomography".</p>
Supplemental Materials for MS Thesis - Crab Chapter
<p>Supplemental files for linking to in my MS Thesis "Impacts of temperature on the molecular response of shellfish" - Crab Chapter (Chapter 2). </p>
Animation of MS evolution in young star clusters
<p>The video shows the evolution of binary and single stellar models from 1Myr to 100Myr. </p>
Figure 2 from: El-Hawagry MSA, Abdel-Dayem MS, Al Dhafer HM (2020) The family Oestridae in Egypt and Saudi Arabia (Diptera, Oestroidea). ZooKeys 947: 113-142. https://doi.org/10.3897/zookeys.947.52317
Figure 2 aGasterophilus intestinalis (habitus, dorsal) bG. nasalis (habitus, dorsal) cG. nigricornis (habitus, dorsal) dCephalopina titillator (habitus, lateral).
Figure 5 from: Abdel-Dayem MS, Abu El-Ghiet UM, Elsheikh TM, Elgharbawy AA, Al-Fifi ZIA, Aldhafer HM (2020) The first survey of the beetles (Coleoptera) of the Farasan Archipelago of the southern Red Sea, Kingdom of Saudi Arabia. ZooKeys 959: 17-86. https://doi.org/10.3897/zookeys.959.51224
Figure 5 Zoogeographical composition of the beetle fauna of Farasan Archipelago, southern Red Sea, KSA, based on their general distribution. AFR, Afrotropical; AUS, Australian; COS, Cosmopolitan; MAD, Madagascan; ORR, Oriental; PAL, Palaearctic; SAR, Saharo-Arabian; SCO, Subcosmopolitan; SJP, Sino_Japanese.
Figure 2 from: Abdel-Dayem MS, Abu El-Ghiet UM, Elsheikh TM, Elgharbawy AA, Al-Fifi ZIA, Aldhafer HM (2020) The first survey of the beetles (Coleoptera) of the Farasan Archipelago of the southern Red Sea, Kingdom of Saudi Arabia. ZooKeys 959: 17-86. https://doi.org/10.3897/zookeys.959.51224
Figure 2 Climate data for Farasan Archipelago, southern Red Sea, Kingdom of Saudi Arabia (source of data http://www.worldclim.org).
Figure 4 from: Abdel-Dayem MS, Abu El-Ghiet UM, Elsheikh TM, Elgharbawy AA, Al-Fifi ZIA, Aldhafer HM (2020) The first survey of the beetles (Coleoptera) of the Farasan Archipelago of the southern Red Sea, Kingdom of Saudi Arabia. ZooKeys 959: 17-86. https://doi.org/10.3897/zookeys.959.51224
Figure 4 Proportion of genera represented in the Farasan Archipelago, Kingdom of Saudi Arabia by one (1), two (2), and three or more (> 3) species in Coleoptera (current data), Formicidae (based on Sharaf and Al-Zailaie 2006), mammals and herpetofauna (based on Masseti 2010, 2014), birds (based on Jennings 1988), and vascular plants (based on Alfarhan et al. 2002).
Figure 3 from: Abdel-Dayem MS, Abu El-Ghiet UM, Elsheikh TM, Elgharbawy AA, Al-Fifi ZIA, Aldhafer HM (2020) The first survey of the beetles (Coleoptera) of the Farasan Archipelago of the southern Red Sea, Kingdom of Saudi Arabia. ZooKeys 959: 17-86. https://doi.org/10.3897/zookeys.959.51224
Figure 3 Photographs of characteristic plants of the Farasan Archipelago, Kingdom of Saudi Arabia AAcacia ehrenbergiana, Commiphora gileadensis, Limonium axillare, and Tetraena alba in Al-Huseis BAcacia ehrenbergiana, Indigofera oblongifolia and Zygophyllum coccineum in Khotp CHyphaene thebaica, Caralluma acutangula, Euphorbia fractiflexa, Senna alexandrina, and Capparis sinaica in Khotp DIndigofera oblongifolia at Bridge ERhizophora mucronataFAvicennia marina in Al-Huseis GAcacia ehrenbergiana and Phoenix dactylifera in sand Sajid H sorghum field.
Figure 8 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 8 Utilisation of Lepironia articulata (A1–3), Pandanus tectorius (B1–3), and Nypa fruticans (C1–3ii) in Setiu Wetlands. From left to right 1 Harvesting 2 Part used 3 Finished products.
Figure 4 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 4 A selection of Orchidaceae species from Setiu Wetlands. AAnia penangianaBThrixspermum amplexicauleCPinalia atrovinosaDPapilionanthe hookerianaEPhalaenopsis pulcherrimaFCymbidium finlaysonianumGGrammatophyllum speciosumHStrongyleria panneaICallostylis pulchellaJBromheadia finlaysonianaKVanilla griffithiiLArachnis flos-aerisMDendrobium secundumNBulbophyllum trigonopusODendrolirium lasiopetalum.
Figure 1 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 1 The boundaries (red line) of the forest to be gazetted in Setiu Wetlands as state park. Map courtesy of the Terengganu State Parks.
Figure 5 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 5 Different plant communities in Setiu Wetlands. A Mangrove plants B Nipa palm (Nypa fruticans) population CCeriops zippelianaDPandanus tectoriusE Ant plant, Hydnophytum formicarum attached to Bruguiera hainesiiFNepenthes ampullariaGHoya coronariaHPloiarium alternifolia.
Figure 2 from: Poponessi S, Aleffi M, Sabovljević MS, Venanzoni R (2020) Bryophyte diversity hotspot: the Marmore Waterfalls Regional Park (Umbria, central Italy). Italian Botanist 10: 33-45. https://doi.org/10.3897/italianbotanist.10.54885
Figure 2 Tufa morphologies Marmore waterfalls: A vertical slope seepage with Palustriella commutataB rock outcrops with tufa C banks Nera river D tuff steps (closed waterfall view) E complex tufa block F block of fossil tufa.
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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.