198,859 research outputs found
Storchia yazdaniani Bagheri 2011
No full text<i>Storchia yazdaniani</i> Bagheri, 2011 <p>This species is currently known only from Iran where it was found on the soil and moss (Bagheri et al., 2011a).</p> <p> Material examined: Six females, soil and litter, Khoda Afarin (Abbas Abad) (37° 55′ 46″ N, 46° 47 <i>'</i> 88 <i>''</i> E, 1310 m), 5 September 2017; five females, litter, Khoda Afarin (Kalaleh) (38° 56′ 42″ N, 46° 45 <i>'</i> 43 <i>''</i> E, 1380 m), 27 August 2018; one female, soil, Khoda Afarin (Tatar) (39° 03′ 10″ N, 46° 46 <i>'</i> 34 <i>''</i> E, 308 m), 27 August 2018; coll. M. Mohammad-Doustaresharaf.</p>Published as part of <i>Mohammad-Doustaresharaf, Mojtaba & Bagheri, Mohammad, 2021, Raphignathoid mites (Acariformes: Raphignathoidea) in parts of the Azerbaijan provinces of Iran, pp. 56-65 in Acarological Studies 3 (2)</i> on page 62, DOI: 10.47121/acarolstud.865260, <a href="http://zenodo.org/record/10834459">http://zenodo.org/record/10834459</a>
Raphignathus khorramabadensis Bagheri 2013
No full text<i>Raphignathus khorramabadensis</i> Bagheri, 2013 <p>This species was originally described from soil from Iran (Bagheri et al., 2013a). It was also recorded from Turkey (UluÇay et al., 2016).</p> <p> Material examined: Four females, soil, Khoda Afarin (Garmanab) (38° 54′ 26″ N, 46° 47 <i>'</i> 19 <i>''</i> E, 1520 m), 4 October 2017; 12 females, soil and litter, Khoda Afarin (Kalaleh) (38° 56′ 42″ N, 46° 45 <i>'</i> 43 <i>''</i> E, 1380 m), 27 August 2018; four females, soil and litter, Khoda Afarin (Kalaleh) (38° 56′ 42″ N, 46° 45 <i>'</i> 43 <i>''</i> E, 1380 m), 4 August 2018; coll. M. Mohammad-Doustaresharaf.</p>Published as part of <i>Mohammad-Doustaresharaf, Mojtaba & Bagheri, Mohammad, 2021, Raphignathoid mites (Acariformes: Raphignathoidea) in parts of the Azerbaijan provinces of Iran, pp. 56-65 in Acarological Studies 3 (2)</i> on page 59, DOI: 10.47121/acarolstud.865260, <a href="http://zenodo.org/record/10834459">http://zenodo.org/record/10834459</a>
Prostigmaeus khanjanii Bagheri and Ghorbani 2010
No full text<i>Prostigmaeus khanjanii</i> Bagheri and Ghorbani, 2010 <p>This species was originally described from soil from Iran (Bagheri et al., 2010b). Recently it was also recorded from Turkey (Akyol, 2021).</p> <p> Material examined: Two females and one male, soil and litter, Khoda Afarin (Abbas Abad) (37° 55′ 46″ N, 46° 47 <i>'</i> 88 <i>''</i> E, 1310 m), 4 July 2017; three females, soil, Khoda Afarin (Vaygan) (38° 55′ 07″ N, 46° 46 <i>'</i> 58 <i>''</i> E, 1350 m), 14 July 2016; coll. M. Mohammad-Doustaresharaf.</p>Published as part of <i>Mohammad-Doustaresharaf, Mojtaba & Bagheri, Mohammad, 2021, Raphignathoid mites (Acariformes: Raphignathoidea) in parts of the Azerbaijan provinces of Iran, pp. 56-65 in Acarological Studies 3 (2)</i> on pages 60-61, DOI: 10.47121/acarolstud.865260, <a href="http://zenodo.org/record/10834459">http://zenodo.org/record/10834459</a>
Neognathus ueckermanni Bagheri, Dogan and Haddad
No full text<i>Neognathus ueckermanni</i> Bagheri, Doğan and Haddad, 2010 <p> This species was originally described from soil under <i>Medicago sativa</i> L. from Iran (Bagheri et al., 2010a). Recently it was recorded from Turkey (Doğan, 2019).</p> <p> Material examined: Two females, soil under azarole tree (<i>Crataegus azarolus</i>), Piranshahr (Mirabad) (36° 26′ 08″ N, 45° 21 <i>'</i> 07 <i>''</i> E, 1294 m), 1 October 2016; three females, soil and litter under pear tree (<i>Pyrus</i> sp.), Urmia (Marmisho) (37° 59′ 97″ N, 45° 04 <i>'</i> 67 <i>''</i> E, 1297 m), 7 September 2017; four females, soil under oak tree (<i>Quercus</i> sp.), Oshnaviyeh (Miraveh) (36° 58′ 48″ N, 45° 01 <i>'</i> 30 <i>''</i> E, 1694 m), 1 July 2017; coll. M. Mohammad-Doustaresharaf.</p>Published as part of <i>Mohammad-Doustaresharaf, Mojtaba & Bagheri, Mohammad, 2021, Raphignathoid mites (Acariformes: Raphignathoidea) in parts of the Azerbaijan provinces of Iran, pp. 56-65 in Acarological Studies 3 (2)</i> on page 58, DOI: 10.47121/acarolstud.865260, <a href="http://zenodo.org/record/10834459">http://zenodo.org/record/10834459</a>
A New Species Of The Genus Molothrognathus Summers And Schilinger (Acari: Trombidiformes: Caligonellidae) From Iran
No full textAhaniazad, M., Bagheri, M. (2012): A New Species Of The Genus Molothrognathus Summers And Schilinger (Acari: Trombidiformes: Caligonellidae) From Iran. Acarologia 52 (4): 373-376, DOI: 10.1051/acarologia/20122066, URL: http://dx.doi.org/10.1051/acarologia/2012206
Stigmaeus maraghehiensis Bagheri and Ueckermann 2012
No full textStigmaeus maraghehiensis Bagheri and Ueckermann, 2012 This species was recently described from Iran from the soil (Bagheri et al., 2012). This is the first record of S. maraghehiensis from Europe. Material examined. Five females, CRIMEA: Cape Martyan Nature Reserve, about 15 m. a.s.l., in the soil under lichens, 15 November 2013, coll. Khaustov A.A.Published as part of Khaustov, Alexander A., 2014, New species and new records of mites of the genus Stigmaeus (Acari: Prostigmata: Stigmaeidae) from Crimea, pp. 237-253 in Zootaxa 3794 (2) on page 246, DOI: 10.11646/zootaxa.3794.2.3, http://zenodo.org/record/22809
Caligonella haddadi Bagheri & Maleki 2013
No full text<i>Caligonella haddadi</i> Bagheri & Maleki, 2013 <p> <i>Caligonella haddadi</i> Bagheri & Maleki, 2013: 632.</p> <p> <b>Distribution</b> – Iran (Bagheri <i>et al.</i> 2013), Turkiye (Doğan <i>et al</i>. 2021).</p> <p> <b>Material examined</b> – One female at 4200 m a.s.l., 17 July 2018 was collected from soil and litter by Mohammad Reza Damavandian.</p>Published as part of <i>Paktinat-Saeij, Saeid, Damavandian, Mohammad Reza & Ziaei-rad, Hossein, 2023, The first report on the Bdelloidea and Raphignathoidea mites (Acari: Trombidiformes: Prostigmata) from the heights of Damavand Mountain, Iran, pp. 587-592 in Persian Journal of Acarology 12 (4)</i> on page 589, DOI: 10.22073/pja.v12i4.83041, <a href="http://zenodo.org/record/10943413">http://zenodo.org/record/10943413</a>
High-throughput computation of Raman spectra by atomistic first-principles methods
No full textAbstract
When an incident monochromatic light interacts with a material system, scattered light can contain important information about the material. Raman spectroscopy is a versatile and non-destructive characterization tool based on inelastic light scattering by atomic vibrations. It provides information about the vibrational modes of the material and therefore its atomic structure and chemical composition. Interpretation of the spectra requires comparison to known references that can be found in literature or the collections of experimental spectra. Raman spectra could also be simulated using atomistic first-principles methods, but these are computationally demanding, which has thus far prevented the construction of a large database of simulated Raman spectra.
This thesis focuses on developing an optimized computational workflow for calculating Raman spectra efficiently. High-throughput calculations performed using the implemented workflow resulted in a database with a large set of materials (5,099 structures) including semiconductors and insulators. The database is publicly accessible via a web app hosted on the computational Raman database website. Using the workflow and collected data enabled additional research. First, new approaches for dimensionality classification of materials based on the interatomic force constants of a structure are introduced. The implemented approaches are applied to the database and the results are analyzed by comparing them to several bond-length-based classification methods. Additionally, new non-van der Waals two-dimensional material candidates were identified. Next, the correspondence between the structure and the Raman spectral features of silicates, particularly those with isolated clusters, is explored. This investigation focuses on identifying spectral similarities within material groups with similar structures and trends among different material categories. Furthermore, an examination is conducted to assess the effectiveness of commonly used similarity metrics in distinguishing between materials with varying structural units. Finally, a practical application of optimized workflow is demonstrated, which involves simulating Raman spectra of a new set of materials to assist in material identification in experimental spectra. Original papers Bagheri, M., & Komsa, H.-P. (2023). High-throughput computation of Raman spectra from first principles. Scientific Data, 10(1), 80. https://doi.org/10.1038/s41597-023-01988-5 https://doi.org/10.1038/s41597-023-01988-5 Self-archived version Bagheri, M., Berger, E., & Komsa, H.-P. (2023). Identification of material dimensionality based on force constant analysis. The Journal of Physical Chemistry Letters, 14(35), 7840–7847. https://doi.org/10.1021/acs.jpclett.3c01635 https://doi.org/10.1021/acs.jpclett.3c01635 Self-archived version Bagheri, M., & Komsa, H. (2024). Structure–spectrum relationship in the calculated Raman spectra of silicates. Journal of Raman Spectroscopy. Advance online publication. https://doi.org/10.1002/jrs.6686 https://doi.org/10.1002/jrs.6686 Self-archived version Kärkkäinen, P. R., Popov, G., Hatanpää, T., Kemppinen, A., Kohopää, K., Bagheri, M., Komsa, H., Heikkilä, M., Mizohata, K., Chundak, M., Deminskyi, P., Vihervaara, A., Ribeiro, M., Hätinen, J., Govenius, J., Putkonen, M., & Ritala, M. (2024). Atomic layer deposition of molybdenum carbide thin films. Advanced Materials Interfaces, 11(6), 2400270. https://doi.org/10.1002/admi.202400270 https://doi.org/10.1002/admi.202400270 Self-archived version Tiivistelmä
Kun näytteeseen osuva yksivärinen valo on vuorovaikutuksessa materiaalijärjestelmän kanssa, sironnut valo voi sisältää tärkeää tietoa materiaalista. Raman-spektroskopia on monipuolinen ja näytettä vahingoittamaton karakterisointityökalu, joka perustuu epäelastiseen valonsirontaan atomien värähtelyistä ja tarjoaa tietoa materiaalin atomirakenteesta ja kemiallisesta koostumuksesta. Spektrien tulkinta edellyttää vertailua tunnettuihin referensseihin, joita löytyy kirjallisuudesta tai kokeellisten spektrien tietokannoista. Raman-spektrejä voidaan myös simuloida käyttämällä atomistisia elektronirakenne-menetelmiä, mutta nämä ovat laskennallisesti vaativia, mikä on rajoittanut simuloitujen Raman-spektrien tietokantojen luomista.
Tämän väitöskirjan aiheena on optimoidun automatisoidun laskentaprosessin kehittäminen Raman-spektrien tehokkaaseen laskentaan. Tämän prosessin avulla suoritettiin laskut suurelle joukolle materiaaleja (5,099 atomirakennetta), sisältäen laajan valikoiman puolijohteita ja eristeitä. Tietokanta on julkisesti saatavilla laskennallisen Raman-tietokantasivuston verkkosovelluksen kautta. Laskentaprosessi ja koostettu tietokanta mahdollistivat lisätutkimuksen. Ensiksi kehitimme uusia menetelmiä materiaalien ulottuvuuden luokitteluun atomien välisiin voimavakioihin pohjautuen. Toteutettuja menetelmiä sovellettiin tietokantaan ja tuloksia analysoitiin vertaamalla niitä useisiin sidospituuteen perustuviin luokittelumenetelmiin. Menetelmiä hyväksikäyttäen onnistuimme tunnistamaan uusia kaksiulotteisia ei-van der Waals materiaaliehdokkaita. Seuraavaksi tutkimme silikaattien atomirakenteen ja niiden Raman-spektrien välistä yhteyttä. Keskityimme tunnistamaan spektrien yhtäläisyyksiä samankaltaisia rakenteita omaavien materiaaliluokkien sisällä ja spektrien trendejä eri materiaaliluokkien välillä. Lisäksi arvioimme yleisesti käytettyjen samankaltaisuusmetriikoiden tehokkuutta materiaaliluokkien erotteluun. Lopuksi käytännön sovelluksena optimoidulle laskentaprosessille, simuloimme uuden materiaalijoukon Raman-spektrit, jotka auttoivat materiaalin tunnistamisessa kokeellisesti mitatusta spektristä. Osajulkaisut Bagheri, M., & Komsa, H.-P. (2023). High-throughput computation of Raman spectra from first principles. Scientific Data, 10(1), 80. https://doi.org/10.1038/s41597-023-01988-5 https://doi.org/10.1038/s41597-023-01988-5 Rinnakkaistallennettu versio Bagheri, M., Berger, E., & Komsa, H.-P. (2023). Identification of material dimensionality based on force constant analysis. The Journal of Physical Chemistry Letters, 14(35), 7840–7847. https://doi.org/10.1021/acs.jpclett.3c01635 https://doi.org/10.1021/acs.jpclett.3c01635 Rinnakkaistallennettu versio Bagheri, M., & Komsa, H. (2024). Structure–spectrum relationship in the calculated Raman spectra of silicates. Journal of Raman Spectroscopy. Advance online publication. https://doi.org/10.1002/jrs.6686 https://doi.org/10.1002/jrs.6686 Rinnakkaistallennettu versio Kärkkäinen, P. R., Popov, G., Hatanpää, T., Kemppinen, A., Kohopää, K., Bagheri, M., Komsa, H., Heikkilä, M., Mizohata, K., Chundak, M., Deminskyi, P., Vihervaara, A., Ribeiro, M., Hätinen, J., Govenius, J., Putkonen, M., & Ritala, M. (2024). Atomic layer deposition of molybdenum carbide thin films. Advanced Materials Interfaces, 11(6), 2400270. https://doi.org/10.1002/admi.202400270 https://doi.org/10.1002/admi.202400270 Rinnakkaistallennettu versio Academic dissertation to be presented with the assent of the Doctoral Programme Committee of Information Technology and Electrical Engineering of the University of Oulu for public defence in the Wetteri auditorium (IT115), Linnanmaa, on 8 October 2024, at 12 noonAbstract
When an incident monochromatic light interacts with a material system, scattered light can contain important information about the material. Raman spectroscopy is a versatile and non-destructive characterization tool based on inelastic light scattering by atomic vibrations. It provides information about the vibrational modes of the material and therefore its atomic structure and chemical composition. Interpretation of the spectra requires comparison to known references that can be found in literature or the collections of experimental spectra. Raman spectra could also be simulated using atomistic first-principles methods, but these are computationally demanding, which has thus far prevented the construction of a large database of simulated Raman spectra.
This thesis focuses on developing an optimized computational workflow for calculating Raman spectra efficiently. High-throughput calculations performed using the implemented workflow resulted in a database with a large set of materials (5,099 structures) including semiconductors and insulators. The database is publicly accessible via a web app hosted on the computational Raman database website. Using the workflow and collected data enabled additional research. First, new approaches for dimensionality classification of materials based on the interatomic force constants of a structure are introduced. The implemented approaches are applied to the database and the results are analyzed by comparing them to several bond-length-based classification methods. Additionally, new non-van der Waals two-dimensional material candidates were identified. Next, the correspondence between the structure and the Raman spectral features of silicates, particularly those with isolated clusters, is explored. This investigation focuses on identifying spectral similarities within material groups with similar structures and trends among different material categories. Furthermore, an examination is conducted to assess the effectiveness of commonly used similarity metrics in distinguishing between materials with varying structural units. Finally, a practical application of optimized workflow is demonstrated, which involves simulating Raman spectra of a new set of materials to assist in material identification in experimental spectra.Tiivistelmä
Kun näytteeseen osuva yksivärinen valo on vuorovaikutuksessa materiaalijärjestelmän kanssa, sironnut valo voi sisältää tärkeää tietoa materiaalista. Raman-spektroskopia on monipuolinen ja näytettä vahingoittamaton karakterisointityökalu, joka perustuu epäelastiseen valonsirontaan atomien värähtelyistä ja tarjoaa tietoa materiaalin atomirakenteesta ja kemiallisesta koostumuksesta. Spektrien tulkinta edellyttää vertailua tunnettuihin referensseihin, joita löytyy kirjallisuudesta tai kokeellisten spektrien tietokannoista. Raman-spektrejä voidaan myös simuloida käyttämällä atomistisia elektronirakenne-menetelmiä, mutta nämä ovat laskennallisesti vaativia, mikä on rajoittanut simuloitujen Raman-spektrien tietokantojen luomista.
Tämän väitöskirjan aiheena on optimoidun automatisoidun laskentaprosessin kehittäminen Raman-spektrien tehokkaaseen laskentaan. Tämän prosessin avulla suoritettiin laskut suurelle joukolle materiaaleja (5,099 atomirakennetta), sisältäen laajan valikoiman puolijohteita ja eristeitä. Tietokanta on julkisesti saatavilla laskennallisen Raman-tietokantasivuston verkkosovelluksen kautta. Laskentaprosessi ja koostettu tietokanta mahdollistivat lisätutkimuksen. Ensiksi kehitimme uusia menetelmiä materiaalien ulottuvuuden luokitteluun atomien välisiin voimavakioihin pohjautuen. Toteutettuja menetelmiä sovellettiin tietokantaan ja tuloksia analysoitiin vertaamalla niitä useisiin sidospituuteen perustuviin luokittelumenetelmiin. Menetelmiä hyväksikäyttäen onnistuimme tunnistamaan uusia kaksiulotteisia ei-van der Waals materiaaliehdokkaita. Seuraavaksi tutkimme silikaattien atomirakenteen ja niiden Raman-spektrien välistä yhteyttä. Keskityimme tunnistamaan spektrien yhtäläisyyksiä samankaltaisia rakenteita omaavien materiaaliluokkien sisällä ja spektrien trendejä eri materiaaliluokkien välillä. Lisäksi arvioimme yleisesti käytettyjen samankaltaisuusmetriikoiden tehokkuutta materiaaliluokkien erotteluun. Lopuksi käytännön sovelluksena optimoidulle laskentaprosessille, simuloimme uuden materiaalijoukon Raman-spektrit, jotka auttoivat materiaalin tunnistamisessa kokeellisesti mitatusta spektristä
Astragalus makuensis Maassoumi, Bagheri & Rahimin. 2014, sp. nov.
No full textAstragalus makuensis Maassoumi, Bagheri & Rahimin. sp. nov. (Fig. 1). Type:— IRAN. W. Azarbayejan province: Maku, ca. 10 km on the road from Chaldoran to Khoy, 38° 59´21.01”N, 44° 25´24.88”E, 2150 m, 03 July 2012, Maassoumi and Bagheri 98385 (holotype TARI, isotypes Herbarium of the University of Isfahan, MSB). Paratypes:— IRAN. W. Azarbayejan province: Maku, ca. 10 km on the road from Chaldoran to Khoy, 38° 59´21.01”N, 44° 25´24.88”E, 2150 m, 03 July 2012, Maassoumi and Bagheri 98380, 98384, TARI, Herbarium of the University of Isfahan). Diagnosis: —Differt ab Astragalus hymenocystis Fisch. & C. A. Mey. stipulis 13–20 mm (nec ad 8–13 mm) longis, foliis 2–8 cm (nec 1.5–3 cm) longis, foliolis 4–7 (nec 3–5) jugis, 4–10 × 1–3.5 (nec 3–7 × 2–4) mm, pedunculis 3–12 (nec 2.5–6) cm longis, racemeis ovoideo vel cylindraceis, 3.5–6.5 cm longis (nec globosis to ovoidis, 2.5–3.5 cm longis), petala pallida flava (nec roso–violacea). Ab Astragalus pereshkhoranicus Maassoumi & F.Ghahrem. stipulis 13–20 mm (nec ad 10–13 mm) longis, foliis 2–8 cm (nec 2–3.5 cm) longis, foliolis 4–7 (nec 5–6) jugis, 4–10 × 1–3.5 (nec 5–8 × 1.5–2.5) mm, pedunculis 3–12 (nec 1.5–7) cm longis, racemeis ovoideo vel cylindraceis, 3.5–6.5 cm longis (nec globosis to ovoidis, 2.5–4.5 cm longis), calycis simplicibus dense pilis patentibus vel ascendentibus 4.5 mm longis (nec duplis pilis ascendentibus 1.5–3 mm longis et pilis brevioribus 0.5 mm longis) obtectis, dentibus 5–8 mm (nec 7–12 mm) longis, petala pallida flava (nec violacea), vexillo 16–20 (nec 18–25) mm longo. Description: —Subshrub, caespitose, ca. 20 cm tall and ca. 50 cm in diameter. Stems in the older parts ligneous, up to 3 cm long, branching from the base and covered with blackish bark and the remnants of the old petioles and stipules; younger stems in the current year ca. 1 cm long. Stipules membranous, hyaline at the apex, 13–20 mm long, narrowly triangular-acuminate, with many fine parallel nerves, adnate to the petiole for 8–10 mm, very shortly connate, ciliate at the margins, otherwise glabrous. Leaves including petiole 2–8 cm; petiole up to 3 cm, both petiole and rachis densely covered with predominantly erect white hairs 1.2 mm long, with few spreading to subappressed hairs 0.3–0.7 mm long. Leaflets opposite, in 4–7 pairs, the indumentum shining silvery and leaflet surface greenish; elliptic, 4–10 × 1–3.5 mm, acuminate, pungent, with a cusp 0.3–1 mm, on both sides densely to very densely covered with subappressed to spreading white hairs 0.4–1 mm and with few long erect hairs up to 2 mm, partly complicate, terminal leaflets modified to a spine. Inflorescence a terminal raceme; peduncle 3–12 cm, brownish, densely covered with erect, tangled white hairs up to 3 mm and with very short spreading hairs 0.2–0.5 mm. Racemes ovoid to cylindrical, 3.5–6.5 cm long, ca. 2–2.5 cm wide, densely many-flowered, the flowers very shortly pedicellate. Bracts partly caducous, elliptic, membranous, hyaline at the margins, acuminate, 11–15 × 4–6 mm, hairy at the base, very rarely in the central part sparsely hairy, ciliate at the margins. Calyx slightly inflated, 13–18 mm long, whitish-yellow, densely covered with erect to spreading hairs up to 4.5 mm; teeth subulate, 5–8 mm, glabrous on inner surface. Petals pale yellowish, glabrous. Standard 16–20 mm long; blade 5–8 mm wide, retuse or rarely emarginate at the apex, obtusely hastateauriculate at base, below the middle slightly constricted, gradually narrowed into the rather wide claw. Wing ca. 18 mm long; blade narrowly oblong to elliptic, obtuse, 5–7 × 1.5–3 mm; auricle ca. 0.2 mm; claw ca. 10 mm. Keel ca. 14 mm long; blade obliquely obovate, subacute, 4–6 × 2–3 mm; auricle indistinct; claw ca. 9 mm. The claws of the wings and the keel are adnate to the staminal tube for 0.5–1 mm. Ovary ca. 13 mm, sessile, hairy, stigma capitate. Stamens ca. 15 mm, diadelphous, 9 + 1, the connate stamens free in the upper 3-4 mm. Fruit unknown. Etymology: —The specific epithet “ makuensis ” refers to the city of Maku, in the vicinity of the type locality, on the border of Iran-Turkey in W. Azarbayejan province, Iran. Distribution and Ecology: — Astragalus makuensis is known only from the type locality, in W. Azarbayejan province (Fig. 2). The new species grows on gravelly and rocky mountain slopes between 2150–2200 m elevation, in steppe vegetation of the Irano-Turanian phytogeographic region. It is part of the cushion forming vegetation type. Phenology: —Flowering June and early July; fruiting July or later Taxonomic notes: — Astragalus makuensis clearly differs from its most closely related species, A. hymenocystis Fisch. & C. A. Mey. (1853: 449) and A. pereshkhoranicus Maassoumi & F.Ghahrem. (1999: 38). The diagnostic characters distinguishing A. makuensis from its closely related taxa are summarized in Table 2.Published as part of Bagheri, Ali, Rahiminejad, Mohammad Reza & Maassoumi, Ali Asghar, 2014, A new species of the genus Astragalus (Leguminosae-Papilionoideae) from Iran, pp. 38-42 in Phytotaxa 178 (1) on pages 39-41, DOI: 10.11646/phytotaxa.178.1.4, http://zenodo.org/record/514505
FIGURES 19–22. 19 in Two new species of Eustigmaeus Berlese (Acari: Trombidiformes: Stigmaeidae) from Brazil, with a key to the American species
No full textFIGURES 19–22. 19. Eustigmaeus piracicabensis Paktinat-Saeij & Bagheri sp. nov. (Female): Dorsal view of idiosoma, 20. Eustigmaeus oliveirai Paktinat-Saeij & Bagheri sp. nov. (Female): Dorsal view of idiosoma, 21. Eustigmaeus piracicabensis Paktinat-Saeij & Bagheri sp. nov. (Female): Ventral view of idiosoma (horseshoe shield), 22. Eustigmaeus piracicabensis Paktinat-Saeij & Bagheri sp. nov. (Female): Dorsal setae.Published as part of Paktinat-Saeij, Saeid, Bagheri, Mohammad, De Castro, Tatiane M. M. G. & De Moraes, Gilberto J., 2016, Two new species of Eustigmaeus Berlese (Acari: Trombidiformes: Stigmaeidae) from Brazil, with a key to the American species, pp. 571-580 in Zootaxa 4066 (5) on page 577, DOI: 10.11646/zootaxa.4066.5.5, http://zenodo.org/record/26397
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