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opennotspecifiedDec 2022View details →

Figs 61–67. M in Larval description of two species of Mycetina Mulsant, 1846 (Coleoptera: Endomychidae: Lycoperdininae) from Russian Far East

Figs 61–67. M. marginalis (61–66), M. rufipennis rufipennis (67), third-instar larva: 61 — antenna; 62 — labial palp; 63 — mesothoracic tergites; 64 — abdominal segment II; 65 — abdominal segments VII–IX; 66–67 — abdominal segment IX, schematically. 61–62 — ventral; 63–67 — dorsal. Рис. 61–67. M. marginalis (61–66), M. rufipennis rufipennis (67), личинка третьего воЗраста: 61 — антенна; 62 — нижнегубной щупик; 63 — тергиты среднегруди; 64 — II брюшной сегмент; 65 — VII–IX брюшные сегменты; 66–67 — IX брюшной сегмент, схематично. 61–62 — сниЗу; 63–67 — сверху.

opennotspecifiedJan 2014View details →

Fig. 3 a–m in Impact of habitat and life trait on character evolution of pallial eyes in Pectinidae (Mollusca: bivalvia)

Fig. 3 a–m Median sections of pectinid eyes from the ventral part of the mantle of investigated taxa stained after Masson-Goldner. a– c Aequipecten opercularis: overview of whole section (a), detail of pallial pigment epithelium, cornea and lens (b), detail of distal and proximal retina (c); d–f Pecten maximus, overview of whole section (d), detail of cornea and lens (e), detail of distal and proximal retina (f); g–i

opennotspecifiedJan 2014View details →

Fig. 4 a-m in Impact of habitat and life trait on character evolution of pallial eyes in Pectinidae (Mollusca: bivalvia)

Fig. 4 a-m Median sections of pectinid eyes from the ventral part of the mantle of investigated taxa stained after Masson-Goldner. a– c Talochlamys pusio, overview of whole section (a), detail of cornea and lens (b), detail of distal and proximal retina (c); d–f Palliolum incomparabile, overview of whole section (d), detail of cornea and lens (e), detail of distal and proximal retina (f); g–i Pseudamussium peslutrae,

opencc-by-4.0Aug 2024View details →

Hcropland30: A hybrid 30-m global cropland map by leveraging global land cover products and Landsat data based on a deep learning model

Hcropland30:A 30-m global cropland map by leveraging global land cover products and Landsat data based on a deep learning model ***Please note this dataset is undergoing peer review*** Version: 1.0 Authors: Qiong Hu a, 1, Zhiwen Cai b, 1, Liangzhi You c, d, Steffen Fritz e, Xinyu Zhang c, He Yin f, Haodong Weic, Jingya Yang g, Zexuan Li a, Qiangyi Yu g, Hao Wu a, Baodong Xu b *, Wenbin Wu g, * a Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China b College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China c Macro Agriculture Research Institute, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China d International Food Policy Research Institute, 1201 I Street, NW, Washington, DC 20005, USA e Novel Data Ecosystems for sustainability Research Group, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, Laxenburg A-2361, Austria f Department of Geography, Kent State University, 325 S. Lincoln Street, Kent, OH 44242, USA <a name="_Hlk166672711"></a>g State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China   Introduction We are pleased to introduce a comprehensive global cropland mapping dataset (named Hcropland30) in 2020, meticulously curated to support a wide range of research and analysis applications related to agricultural land and environmental assessment. This dataset encompasses the entire globe, divided into 16,284 grids, each measuring an area of 1°×1°. Hcropland30 was produced by leveraging global land cover products and Landsat data based on a deep learning model. Initially, we established a hierarchal sampling strategy that used the simulated annealing method to identify the representative 1°×1° grids globally and the sparse point-level samples within these selected 1°×1°grids. Subsequently, we employed an ensemble learning technique to expand these sparse point-level samples into the densely pixel-wise labels, creating the area-level 1°×1° cropland labels. These area-level labels were then used to train a U-Net model for predicting global cropland distribution, followed by a comprehensive evaluation of the mapping accuracy.   Dataset 1. Hcropland30: A hybrid 30-m global cropland map in 2020 ****Data format: GeoTiff ****Spatial resolution: 30 m ****Projection: EPSG: 4326 (WGS84) ****Values: 1 denotes cropland and 0 denotes non-cropland The dataset has been uploaded in 16,284 tiles. The extent of each tile can be found in the file of “Grids.shp”. Each file is named according to the grid’s Id number. For example, “000015.tif” corresponds to the cropland mapping result for the 15-th 1°×1° grid. This systematic naming convention ensures easy identification and retrieval of the specific grid data. 2. 1°×1° Grids: This file contains all 16,284 1°×1° grids used in the dataset. The vector file includes 18 attribute fields, providing comprehensive metadata for each grid. These attributes are essential for users who need detailed information about each grid’s characteristics. ****Data format: ESRI shapefile ****Projection: EPSG: 4326 (WGS84) ****Attribute Fields: Id: The grid’s ID number. area: The area of the grid. mode: Indicates the representative sample grid. climate: The climate type the grid belongs to. dem: Average DEM value of the grid. ndvi_s1 to ndvi_s4: Average NDVI values for four seasons within the grid. esa, esri, fcs30, fromglc, glad, globeland30: Proportion of cropland pixels of different publicly available cropland products. inconsistent: Proportion of inconsistent pixels within the grid according to different public cropland products. hcropland30: Proportion of cropland pixels of our Hcropland30 dataset. 3. Samples: The selected representative pixel-level samples, including 32,343 cropland and 67657 non-cropland samples. The category information of each sample was determined based on visual interpretation on Google Earth image and three-year NDVI time series curves from 2019-2021. ****Data format: ESRI shapefile ****Projection: EPSG: 4326 (WGS84) ****Attribute Fields: type: 1 denotes cropland sample and 0 denotes non-cropland sample. Citation If you use this dataset, please cite the following paper: Hu, Q., Cai, Z., You, L., Fritz, S., Zhang, X., Yin, H., Wei, H., Yang, J., Li, Z., Yu, Q., Wu, H., Xu, B., Wu, W. (2024). Hcropland30: A 30-m global cropland map by leveraging global land cover products and Landsat data based on a deep learning model, Remote Sensing of Environment, submitted. License The data is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). Disclaimer This dataset is provided as-is, without any warranty, express or implied. The dataset author is not responsible for any errors or omissions in the data, or for any consequences arising from the use of the data. Contact If you have any questions or feedback regarding the dataset, please contact the dataset author Qiong Hu (huqiong@ccnu.edu.cn)

opennotspecifiedJan 2022View details →

Fig. 5 Between-group principal components separating M in A new rodent species of the genus Mus (Rodentia: Muridae) confirms the biogeographical uniqueness of the isolated forests of southern Ethiopia

Fig. 5 Between-group principal components separating M. sp. "Harenna", M. triton and M. mahomet. Large filled points are species means, small open points are individuals, type specimens are marked by asterisks. The two misclassified specimens of M. sp. "Harenna" and one of M. triton misclassified are those with the lowest bgPC1 scores in their respective species. The label "Chingawa" marks the specimen of M. sp. "Harenna" from this forest

FIGURE 4 in A combined phylogenetic and numerical taxonomic study of Matthiola montana and M. anchoniifolia (Brassicaceae)

FIGURE 4. Phylogenetic relationships within Matthiola inferred from maximum likelihood (ML) analysis based on the nuclear internal transcribed spacer (ITS) region. Outgroups and monophyletic taxa are indicated. Bootstrap values (BS> 50%)/posterior probabilities (PP> 0.5) are shown above and below branches (please note that some support values have been removed for the sake of simplicity of the figure).

FIGURE 3. a in A combined phylogenetic and numerical taxonomic study of Matthiola montana and M. anchoniifolia (Brassicaceae)

FIGURE 3. a) Results of the UPGMA dendrogram generated with Gower's distance matrix showing the phenetic relationships among the montana complex. M. anchoniifolia type locality samples are indicated with asterisks. b) Principal coordinate analysis (PCoA) scatter plot displaying the degree of affinity among the components of the montana complex.

FIGURE 2 in A combined phylogenetic and numerical taxonomic study of Matthiola montana and M. anchoniifolia (Brassicaceae)

FIGURE 2. Digital image of some morphological characters of Matthiola montana. A) Sepals, B) petal, C) stamens and pistil, D) stamens, E) stigma, F) fruit, G) seeds in fruit, H) seeds.

FIGURE 5 in A combined phylogenetic and numerical taxonomic study of Matthiola montana and M. anchoniifolia (Brassicaceae)

FIGURE 5. Geographic distribution of M. montana. Red dots represent all presence records. Purple and green dots indicate the type localities of M. anchoniifolia and M. montana, respectively. The highlighted yellow area denotes the Anatolian diagonal.

FIGURE 15. Magnolia sinacacolinii. A.D. Fruits. B.C. Flowers. Photographs A and D in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 15. Magnolia sinacacolinii. A.D. Fruits. B.C. Flowers. Photographs A and D by A. Díaz, B and C by A. Vázquez.

FIGURE 14. Magnolia sinacacolinii, Los Tuxtlas. A. Specimen V in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 14. Magnolia sinacacolinii, Los Tuxtlas. A. Specimen V. Corona-De Ita et al. 32 (MEXU); B, D from Sinaca-Colin & Chigo-S. 646 (MEXU), C from Vázquez-García et al. 9134 (IBUG). Photographs by A. Vázquez.

FIGURE 13. Magnolia uxpanapana, A in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 13. Magnolia uxpanapana, A. Tree in situ. B. Stem showing bark detail. Photographs by A. García.

FIGURE 10 in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 10. Magnolia uxpanapana. Herbarium specimen with leaves and flower, Rancho El Milagro, SW of Nueva Tabasqueña, Las Choapas, Veracruz, Rincón-G. et al. 3043 (MEXU). Photograph by A. Vázquez.

FIGURE 9. Magnolia uxpanapana. A. Leaves and flower bud. B. Flower bud. C. Developing gynoecium. D in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 9. Magnolia uxpanapana. A. Leaves and flower bud. B. Flower bud. C. Developing gynoecium. D. Fruit near maturity with staminal scars on staminophore. A and B from Wendt et al. 4237, C from Dorantes 2607 (F) and D from Rincón-G. et al. 3043 (XAL). Photographs by A. Vázquez.

FIGURE 7. Magnolia heribertoi. A in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 7. Magnolia heribertoi. A. Tree in situ on the way to Bolsa de Oro, Santa María Chimalapa, Oaxaca. B. Distal face of fruit. C. Tree with lianas. D. Juvenile plant. Photographs A, B & C by C. Rodríguez; D by A. Vázquez.

FIGURE 8 in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 8. Differences between the species of Magnolia sect. Talauma with spheroid to sub-globose fruits at the same scale. A. M. perezfarrerae. B. M. lacandonica. C. M. uxpanapana. D. M. heribertoi. E. M. zoquepopoluca. F. M. yajlachhi. Photographs by A. Vázquez.

FIGURE 11 in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 11. Magnolia uxpanapana. Type specimen with leaves, fruit axis, carpels, seeds and wood, Uxpanapa (poblado 12) E of Río Oaxaca, Wendt et al. 4237 (ENCB). Photographs by A. Vázquez.

FIGURE 6. Magnolia heribertoi. A. Leaves. B. Flower starting male phase. C. Seeds. D in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 6. Magnolia heribertoi. A. Leaves. B. Flower starting male phase. C. Seeds. D. Top: from left to right, three sepals, three outer petals and three inner petals; bottom: stamens. E. Fruit. F. Multi-carpellate irregular mass detached from fruit axis. A, C, E and F from Hernández G. 2302; B and D from Vázquez-García et al. 9152. Photographs by A. Vázquez.

FIGURE 3. Magnolia chimalapana. A in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 3. Magnolia chimalapana. A. Tree in situ, south of Congregación Chalchijapa, Santa María Chimalapa, Oaxaca. B. Leaf variability. From Vázquez García & Rodríguez Pérez 10322. Photographs by C. Rodríguez.

FIGURE 4. Magnolia wendtii. A,B. Flower buds. C. Flower. D in Three new Mesoamerican species of Magnolia (M. sect. Talauma, Magnoliaceae) from the Chimalapas-Uxpanapa region, Mexico

FIGURE 4. Magnolia wendtii. A,B. Flower buds. C. Flower. D. Top row: inner petals; middle row: outer petals; bottom row: sepals. E. Stamens showing the long connective. F. Immature fruit with stamens hanging by their hooked connective. G. Gynoecium. H. Closed fruits. I. Fruit with detached carpels without seeds. Photographs by A. Arango.