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107 results for “regional floras”
Phytogeographic regions of Ukraine according to the "Flora Fungorum Ucrainicae"
<p>Origin of the data</p> <p>This regionalization was originally published by Heluta (1989), to illustrate the distribution of powdery mildew fungi across Ukraine, and further was used in the series "Flora Fungorum Ucrainicae", as well as individual publications and thesis in Mycology. The regionalization was based mainly on the current at that time Geobotanical zonation of the URSR (Barbarych et. al, 1977).<br>Since both names and accepted abbreviations of regions originally were in Russian, we adopted the translation made by Akulov et al. (2003), with some additions from a later publication by Prylutskyi & Chvikov (2020):<br>CF – Carpathian Forests, DGMS – Donetsk Gramineous-Meadow Steppe, FSCr – Forest-Steppe Crimea, KFS – Kharkiv Forest-Steppe, LFS – Left Bank Forest-Steppe, LGS – Left Bank Gramineous Steppe, LGMS – Left Bank GramineousMeadow Steppe, LP – Left Bank Polissya, MRF – Middle-Russian Forests, MCr – Mountain Crimea, PF – Precarpathian Forests, RF – Roztocze Forests, RFS – Right Bank Forest-Steppe, RGS – Right Bank Gramineous Steppe, RGMS – Right Bank Gramineous-Meadow Steppe, RP – Right Bank Polissya, SP – Small Polissya, SSCr – South Seaside of Crimea, SGMS – Starobilsk Gramineous-Meadow Steppe, SCr – Steppe Crimea, TR – Transcarpathia, VFS – Volyn Forest-Steppe, WFS – Western Forest-Steppe, WP – Western Polissya, WUF – West-Ukrainian Forests, WS – Wormwood Steppe.</p> <p><strong>UPD:</strong> Ukrainian names and abbreviations, as well as English names of the regions, updated according to <a href="https://ukrbotj.co.ua/archive/80/3/199" rel="nofollow">Heluta, 2023</a>.</p> <p>Dataset description</p> <p>Dataset (zip-archive) contains GIS vector layers with the polygons of regions, in the following formats: Geopackage, KML, and Esri shapefile. Polygons have been drawn manually using QGIS software, following verbal descriptions of the borders of regions from Heluta (1989).<br>CRS: EPSG:3857 - WGS 84 / Pseudo-Mercator<br>Charset Encoding: UTF-8</p> <p>Attribute table's fields descriptions</p> <p>fid - Unique identifier for each polygon<br>Name - Accepted abbreviated name for the region in Ukrainian<br>NameEng - Abbreviated name for the region, translated into English<br>NameFullUA - Full name of a region, in Ukrainian<br>NameFul - Full name of a region translated into English<br>NatZone - Natural zone according to the source (Heluta, 1989), in Ukrainian<br>Ecoregions - Name of the Terrestrial Ecoregion (TEOW) (Olson et al., 2001), which covers most of the area of a given region<br>Note: KML file has additional system fields, not contain attribute information.</p> <p>References</p> <p>Heluta, V.P. (2023) A critical revision of the powdery mildew fungi (Erysiphaceae, Ascomycota) of Ukraine: Erysiphe sect. Microsphaera. Ukrainian Botanical Journal. 2023. 80 (3). <a href="https://doi.org/10.15407/ukrbotj80.03.199" rel="nofollow">https://doi.org/10.15407/ukrbotj80.03.199</a></p> <p>Heluta, V.P. (1989) Powdery Mildews. Flora Fungorum Ucrainicae. Kyiv: Naukova dumka [In Russian: Гелюта, В.П. (1989) Флора грибов Украины: Мучнисторосяные грибы. Киев: Наукова думка]</p> <p>Barbarych, A.I. (Ed.) (1977)Geobotanical zonation of the URSR. Kyiv: Naukova Dumka [in Ukrainian: Геоботанічне районування Української РСР. Київ: Наукова думка]</p> <p>Akulov, O.Yu.; Usichenko, A.S.; Leontyev, D.V.; Yurchenko, E.O.; Prydiuk, M.P. (2003) Annotated checklist of aphyllophoroid fungi of Ukraine. Mycena 2:1–76.</p> <p>Chvikov, V.; Prylutskyi, О. (2020) Annotated checklist of Hygrophoraceae (Agaricales, Basidiomycota) of Ukraine. Biodivers. Ecol. Exp. Biol. 22, 6–23. https://doi.org/10.34142/2708-5848.2020.22.2.01</p> <p>Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'Amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lamoreux, J. F., Wettengel, W. W., Hedao, P., Kassem, K. R. 2001. Terrestrial ecoregions of the world: a new map of life on Earth. Bioscience 51(11):933-938.</p>
Biodiversity of urban floras of the Urals and Volga region
<p>The dataset, “Biodiversity of urban floras of the Urals and Volga region”, includes data on the composition of 19 urban floras located in the Sverdlovsk, Samara and Ulyanovsk regions, the Republic of Bashkortostan and the Udmurt Republic. The studied cities, according to the classification adopted in the Russian Federation, differ in population size into: small, with a population of less than 50,000 people (Kambarka, Krasnoufimsk, Mozhga, Novoulyanovsk, Sengiley, Turinsk), medium, with a population of 50,000-100,000 people (Votkinsk, Zhigulevsk, Ishimbai, Kumertau, Meleuz), large, with a population of 100,000-250,000 people (Dimitrovgrad, Kamensk-Uralsky, Salavat, Sterlitamak), very large, with a population of 250,000-1,000,000 people (Izhevsk, Tolyatti, Ulyanovsk) and a city with a population of over 1 million people – Yekaterinburg.</p> <p>In the urban flora 2050 plant species were recorded, and synonymy was aligned with The Plant List (http://www.theplantlist.org). The dataset provides information about the distribution of each species in studied urban floras as well as grouping of species into native plants, neophytes and archaeophytes.</p> <p> </p> <p>The general list of vascular plants of the analyzed urban flora is compiled on the basis of the authors' own field research. All types of habitats (natural, semi-natural and artificial) were examined. Our direct observations were supplemented with information from herbarium collections: the Museum of the Institute of Plant and Animal Ecology of the Ural Branch of the Russian Academy of Sciences (SVER), Ural Federal University (UFU), Kurgan State University, Udmurt State University (UDU), South Ural Botanical Garden-Institute, Institute of Ecology of the Volga River Basin of the Russian Academy of Sciences (PVB RAS). Published sources were also consulted (Ilminskikh et al., 1998; Rakov, 2003; Rakov, Saxonov, 2008; Kornilov et al., 2012; Mogutova Mountain..., 2013; Rakov et al., 2013; Golovanov, Abramova, 2014a; 2014b; Baranova, Bralgina, 2015; Golovanov et al., 2015; Golovanov et al., 2017; Golovanov, 2018).</p> <p> </p> <p>In the general list of vascular plants, native and alien species were identified. Alien species are understood as plant species either unintentionally introduced into our region as a result of human economic activity, or as ornamental or purposefully introduced species found outside their cultivation areas (Tretyakova, Shurova, 2013; Baranova et al., 2018). Alien species, depending on the time of their appearance in the flora, are traditionally divided into two groups: archaeophytes and neophytes (Pysek et al., 2004). Archaeophytes are alien species that appeared in the study area before 1800, neophytes appeared after this date. The main sources for classifying archaeophytes and neophytes into groups were complete lists of flora of the Sverdlovsk Region (Knyazev et al., 2016; 2017; 2018; 2019a; b; 2020; 2021) and the Udmurt Republic (Baranova, Puzyrev, 2012), as well as lists of alien plants of the Samara and Ulyanovsk regions (Senator, Vasyukov, 2019), the Republic of Bashkortostan (Muldashev et al., 2017). The analysis also uses data from K. F. Ledebour (von Ledebour, 1842-1853), K. K. Klaus (Klaus, 1852), p. Korzhinsky (Korzhinsky, 1898), H. F. Lessing (Lessing, 1835), A. A. Bunge (Bunge, 1851), Y. K. Schell (Schell, 1880; 1883), O. and B. Fedchenko (Fedchenko, Fedchenko, 1894), which summarized information about the flora of the Urals and the Volga region, accumulated by the beginning of the XIX century.</p> <p> </p> <p>In order to provide a single classification scheme in which each species is assigned to only one category, we used the approach described by La Sorte and co-authors (La Sorte et al., 2008). Species that were not identified exclusively as native were classified as archaeophytes if they were identified as archaeophytes in at least one urban flora. Similarly, species have been classified as neophytes if they have not been identified as archaeophytes in any urban flora and have been identified as neophytes in at least one urban flora. At the same time, preference is given to assigning an alien status to a species, because such species show the ability to settle in a secondary area. Among alien plants, preference has been given to the status of archaeophytes, due to their earlier appearance in new regions outside the primary range. Accordingly, species have been universally identified as archaeophytes if they are classified as archaeophytes in at least one urban flora (La Sorte et al., 2008).</p>
Text-fig. 5. Vegetation zones in P. R. China (Editorial Committee of Vegetation Map of China, The Chinese Academy of Sciences 2007), and assumed location of extant reference vegetation type of Wiesa fossil assemblage (rectangle), as revealed from qualitative floristic analysis. Extant reference vegetation type present in southern belt of zone of subtropical evergreen broadleaved forest, with minor overlap into zone of tropical forest. in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 5. Vegetation zones in P. R. China (Editorial Committee of Vegetation Map of China, The Chinese Academy of Sciences 2007), and assumed location of extant reference vegetation type of Wiesa fossil assemblage (rectangle), as revealed from qualitative floristic analysis. Extant reference vegetation type present in southern belt of zone of subtropical evergreen broadleaved forest, with minor overlap into zone of tropical forest.
Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7). in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7).
Text-fig. 3. Litho- and biostratigraphic position of fossil floras treated herein, based on lithostratigraphic standard section of upper Oligocene and Miocene in central and eastern Germany (Standke et al. 2010, Escher et al. 2020); only exception from standard section: ** – Thierbach Member restricted to central Germany, replaces Branitz Member in eastern Germany; correlated to global scale of International Chronostratigraphic Chart 2022/02 (Cohen et al. 2013); maximum age ranges of sites/floras indicated by black bars; floristic complexes according to definitions by Mai and Walther 1991 for upper Oligocene, Mai 2000b, 2001b for Miocene; age range of MCO from Steinthorsdottir et al. 2021. in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 3. Litho- and biostratigraphic position of fossil floras treated herein, based on lithostratigraphic standard section of upper Oligocene and Miocene in central and eastern Germany (Standke et al. 2010, Escher et al. 2020); only exception from standard section: ** – Thierbach Member restricted to central Germany, replaces Branitz Member in eastern Germany; correlated to global scale of International Chronostratigraphic Chart 2022/02 (Cohen et al. 2013); maximum age ranges of sites/floras indicated by black bars; floristic complexes according to definitions by Mai and Walther 1991 for upper Oligocene, Mai 2000b, 2001b for Miocene; age range of MCO from Steinthorsdottir et al. 2021.
Text-fig. 2. Kaolin clay pit at hill Hasenberg in Wiesa, Saxony, Germany; view of southern high wall, showing deeply weathered late Early Miocene lignite seam by dark brown color in center (photographed 2015). Fossil-bearing strata were reported (e.g., Mai 1964) as below lignite seam, but this horizon does actually not crop out (also evidenced by new drillings, communicated by Dr. Jochen Rascher, GEOMONTAN GmbH company, Freiberg/Sa., Germany). in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 2. Kaolin clay pit at hill Hasenberg in Wiesa, Saxony, Germany; view of southern high wall, showing deeply weathered late Early Miocene lignite seam by dark brown color in center (photographed 2015). Fossil-bearing strata were reported (e.g., Mai 1964) as below lignite seam, but this horizon does actually not crop out (also evidenced by new drillings, communicated by Dr. Jochen Rascher, GEOMONTAN GmbH company, Freiberg/Sa., Germany).
Text-fig. 1. Location of Wiesa fossil site in eastern Germany and other fossil sites for comparison. Explanation for map b: all fossil sites – black circles; grey circles – cities; topographic names in italics – German states (Länder). For bio- and lithostratigraphic data of fossil sites, see chapter Methodologies and material and Text-fig. 3. in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 1. Location of Wiesa fossil site in eastern Germany and other fossil sites for comparison. Explanation for map b: all fossil sites – black circles; grey circles – cities; topographic names in italics – German states (Länder). For bio- and lithostratigraphic data of fossil sites, see chapter Methodologies and material and Text-fig. 3.
Linked collectors and determiners for: Flora del Nororiente Colombiano: Colecciones del Herbario Regional Catatumbo Sarare.
Natural history specimen data linked to collectors and determiners held within, "Flora del Nororiente Colombiano: Colecciones del Herbario Regional Catatumbo Sarare". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ae7cf7d9-85dc-4578-9f5f-40d760ab013b">https://bionomia.net/dataset/ae7cf7d9-85dc-4578-9f5f-40d760ab013b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ae7cf7d9-85dc-4578-9f5f-40d760ab013b">https://gbif.org/dataset/ae7cf7d9-85dc-4578-9f5f-40d760ab013b</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: An annotated list of rare flora of the Lower Dnipro sands (Kherson and Mykolaiv regions, Ukraine).
Natural history specimen data linked to collectors and determiners held within, "An annotated list of rare flora of the Lower Dnipro sands (Kherson and Mykolaiv regions, Ukraine)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/019e1c50-1e7b-48df-96a8-f82d8f51fc0d">https://bionomia.net/dataset/019e1c50-1e7b-48df-96a8-f82d8f51fc0d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/019e1c50-1e7b-48df-96a8-f82d8f51fc0d">https://gbif.org/dataset/019e1c50-1e7b-48df-96a8-f82d8f51fc0d</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: An annotated list of the flora of the Kozatskyi khutir (Kherson region, Ukraine).
Natural history specimen data linked to collectors and determiners held within, "An annotated list of the flora of the Kozatskyi khutir (Kherson region, Ukraine)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a8e54cf4-3c00-4011-90dd-84d52dae34f8">https://bionomia.net/dataset/a8e54cf4-3c00-4011-90dd-84d52dae34f8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a8e54cf4-3c00-4011-90dd-84d52dae34f8">https://gbif.org/dataset/a8e54cf4-3c00-4011-90dd-84d52dae34f8</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: An annotated list of the flora of the botanical reserve "Yakovlivskyi" (Mykolaiv region, Ukraine).
Natural history specimen data linked to collectors and determiners held within, "An annotated list of the flora of the botanical reserve "Yakovlivskyi" (Mykolaiv region, Ukraine)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a54c866c-3d2b-4a01-9186-9a03dfaff5ac">https://bionomia.net/dataset/a54c866c-3d2b-4a01-9186-9a03dfaff5ac</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a54c866c-3d2b-4a01-9186-9a03dfaff5ac">https://gbif.org/dataset/a54c866c-3d2b-4a01-9186-9a03dfaff5ac</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: An annotated list of the flora of the Kozatskyi sland (Kherson region, Ukraine).
Natural history specimen data linked to collectors and determiners held within, "An annotated list of the flora of the Kozatskyi sland (Kherson region, Ukraine)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/310e15aa-4f14-4d71-b8b8-287f2a7ce0f3">https://bionomia.net/dataset/310e15aa-4f14-4d71-b8b8-287f2a7ce0f3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/310e15aa-4f14-4d71-b8b8-287f2a7ce0f3">https://gbif.org/dataset/310e15aa-4f14-4d71-b8b8-287f2a7ce0f3</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Cheklist of vascular plants of the flora of the Malyi Potomkinskyi Island (Kherson region, Ukraine).
Natural history specimen data linked to collectors and determiners held within, "Cheklist of vascular plants of the flora of the Malyi Potomkinskyi Island (Kherson region, Ukraine)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e9eff47c-5307-49d7-85ee-05dd4760666a">https://bionomia.net/dataset/e9eff47c-5307-49d7-85ee-05dd4760666a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e9eff47c-5307-49d7-85ee-05dd4760666a">https://gbif.org/dataset/e9eff47c-5307-49d7-85ee-05dd4760666a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: An annoted list of the flora of the forest reserve of national importance «Berezovi kolky» (Kherson region, Ukraine).
Natural history specimen data linked to collectors and determiners held within, "An annoted list of the flora of the forest reserve of national importance «Berezovi kolky» (Kherson region, Ukraine)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b629c222-0819-456a-8a44-0195406c9f76">https://bionomia.net/dataset/b629c222-0819-456a-8a44-0195406c9f76</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b629c222-0819-456a-8a44-0195406c9f76">https://gbif.org/dataset/b629c222-0819-456a-8a44-0195406c9f76</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: An annotated list of the flora of the progected reserve "Zelenivskyi step" (Kherson region, Ukraine).
Natural history specimen data linked to collectors and determiners held within, "An annotated list of the flora of the progected reserve "Zelenivskyi step" (Kherson region, Ukraine)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1ba78f31-d99f-4c04-8af9-262eacc42785">https://bionomia.net/dataset/1ba78f31-d99f-4c04-8af9-262eacc42785</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1ba78f31-d99f-4c04-8af9-262eacc42785">https://gbif.org/dataset/1ba78f31-d99f-4c04-8af9-262eacc42785</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: An annoted list of the flora of the landscape reserve of local importance «Velyki Sirohozy ravine» (Kherson region, Ukraine).
Natural history specimen data linked to collectors and determiners held within, "An annoted list of the flora of the landscape reserve of local importance «Velyki Sirohozy ravine» (Kherson region, Ukraine)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/047e9188-5b75-46e0-a528-8879afa424dd">https://bionomia.net/dataset/047e9188-5b75-46e0-a528-8879afa424dd</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/047e9188-5b75-46e0-a528-8879afa424dd">https://gbif.org/dataset/047e9188-5b75-46e0-a528-8879afa424dd</a>. Formatted as a Frictionless Data package.
Text-fig. 43. Scanning electron microscope (SEM) images of monocolpate pollen of Kempia longicolpites gen. et sp. nov. from a fragmentary stamen; Torres Vedras locality, Portugal. a) Holotype; stamen fragment showing elongated pollen sacs that yielded the pollen in this Text-figure; b) Pollen grains showing the very long distal aperture and loosely attached reticulum; c, d) Pollen grains showing the very long, clearly defined distal aperture that extends around the ends of the grain; e) Reticulum in nonapertural region showing the smooth muri loosely attached to the smooth surface of the foot layer by short columellae; f) Internal view of reticulum showing the short columellae loosened from the foot layer. Specimen, TV44-S105018 (holotype). Scale bars 300 Μm (a), 30 Μm (b), 6 Μm (c, d), 3 Μm (e, f). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 43. Scanning electron microscope (SEM) images of monocolpate pollen of Kempia longicolpites gen. et sp. nov. from a fragmentary stamen; Torres Vedras locality, Portugal. a) Holotype; stamen fragment showing elongated pollen sacs that yielded the pollen in this Text-figure; b) Pollen grains showing the very long distal aperture and loosely attached reticulum; c, d) Pollen grains showing the very long, clearly defined distal aperture that extends around the ends of the grain; e) Reticulum in nonapertural region showing the smooth muri loosely attached to the smooth surface of the foot layer by short columellae; f) Internal view of reticulum showing the short columellae loosened from the foot layer. Specimen, TV44-S105018 (holotype). Scale bars 300 Μm (a), 30 Μm (b), 6 Μm (c, d), 3 Μm (e, f).
Text-fig. 40. Scanning electron microscope (SEM) images of monocolpate pollen of Eckhartiopsis parva gen. et sp. nov. from an anther; Torres Vedras locality, Portugal. a) Holotype; elongated anther that yielded the pollen in this Text-figure; b–e) Pollen grains showing dense reticulate tectum supported by short columellae that are only loosely attached to the smooth surface of the foot layer: note dentate orbicules on inner surface of anther wall (b, arrowhead); f) Reticulate tectum showing smooth muri with small adhering orbicules (arrowhead); g) Pollen grains showing one in which the reticulum has been lost exposing the smooth surface of the foot layer; h) Fractured pollen wall showing reticulum, short columellae and thick foot layer; note granules on the inner surface of the apertural region (arrow). Specimen, TV39-S170217 (holotype). Scale bars 300 Μm (a), 6 Μm (b–e, g), 3 Μm (f, h). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 40. Scanning electron microscope (SEM) images of monocolpate pollen of Eckhartiopsis parva gen. et sp. nov. from an anther; Torres Vedras locality, Portugal. a) Holotype; elongated anther that yielded the pollen in this Text-figure; b–e) Pollen grains showing dense reticulate tectum supported by short columellae that are only loosely attached to the smooth surface of the foot layer: note dentate orbicules on inner surface of anther wall (b, arrowhead); f) Reticulate tectum showing smooth muri with small adhering orbicules (arrowhead); g) Pollen grains showing one in which the reticulum has been lost exposing the smooth surface of the foot layer; h) Fractured pollen wall showing reticulum, short columellae and thick foot layer; note granules on the inner surface of the apertural region (arrow). Specimen, TV39-S170217 (holotype). Scale bars 300 Μm (a), 6 Μm (b–e, g), 3 Μm (f, h).
Text-fig. 44. Scanning electron microscope (SEM) images of monocolpate pollen of Juhaszia portugallica gen. et sp. nov. from a fragment of a pollen sac (a–e) and stamen fragment and pollen of Dictyozonia pusilla gen. et sp. nov. (f–k); Torres Vedras locality, Portugal. a) Holotype; fragment of pollen sac that yielded the pollen in (b–e); b) Proximal surface of pollen grain showing reticulate sculpture in the equatorial regions grading into more a continuous foveolate tectum at the proximal pole; c) Reticulum on the proximal surface showing smooth muri delimiting large and small luminae. Muri supported by numerous short columellae that are only loosely attached to the smooth surface of the foot layer; d) Distal surface of pollen grain showing the long colpus and reticulate sculpture with a distinctive pattern of large and small luminae; e) Pollen grain from which the reticulum has become in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 44. Scanning electron microscope (SEM) images of monocolpate pollen of Juhaszia portugallica gen. et sp. nov. from a fragment of a pollen sac (a–e) and stamen fragment and pollen of Dictyozonia pusilla gen. et sp. nov. (f–k); Torres Vedras locality, Portugal. a) Holotype; fragment of pollen sac that yielded the pollen in (b–e); b) Proximal surface of pollen grain showing reticulate sculpture in the equatorial regions grading into more a continuous foveolate tectum at the proximal pole; c) Reticulum on the proximal surface showing smooth muri delimiting large and small luminae. Muri supported by numerous short columellae that are only loosely attached to the smooth surface of the foot layer; d) Distal surface of pollen grain showing the long colpus and reticulate sculpture with a distinctive pattern of large and small luminae; e) Pollen grain from which the reticulum has become
Text-fig. 49. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of Vedresia elliptica gen. et sp. nov. (a–c) and a multicarpellate fruit of Choffaticarpus compactus gen. et sp. nov. and associated pollen (d–j); Torres Vedras locality, Portugal. a) Holotype; small fruit showing apical stigmatic region with attached pollen; b) Group of pollen grains from the stigmatic surface of the fruit in (a) showing the long colpus and reticulate tectum; c) Pollen grains from the stigmatic surface showing the long colpus and well developed reticulum, with smooth muri and short columellae in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 49. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of Vedresia elliptica gen. et sp. nov. (a–c) and a multicarpellate fruit of Choffaticarpus compactus gen. et sp. nov. and associated pollen (d–j); Torres Vedras locality, Portugal. a) Holotype; small fruit showing apical stigmatic region with attached pollen; b) Group of pollen grains from the stigmatic surface of the fruit in (a) showing the long colpus and reticulate tectum; c) Pollen grains from the stigmatic surface showing the long colpus and well developed reticulum, with smooth muri and short columellae
ScienceDex guides
Understand access before you commit
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.