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2,358 results for “wing”
Power Balance Characteristics for Multirotor- and Fixed-Wing-Type UAV-BSs Equipped with RES and RISs
<h2><strong>Overview</strong></h2> <p>The following dataset presents the power balance characteristics for Unmanned Aerial Vehicle Base Stations (UAV-BSs) equipped with Renewable Energy Sources (RES) and Reconfigurable Intelligent Surfaces (RISs). The dataset has been prepared for two different types of UAVs, i.e., multirotor and fixed-wing ones.</p> <h2><strong>Scenario</strong></h2> <p>The considered scenario includes 2 UAV-BSs (each of a different type) equipped with a single RF transceiver and an RIS device and RES — a single photovoltaic panel (PV) and a single wind turbine (WT). The UAV-BSs are placed within the city of Poznan and hover (multirotor) or follow a circular route (fixed-wing) above a single mobile user with fixed traffic demand (100 Mbps downlink — DL, and 50 Mbps uplink — UL). The simulation runs have been performed for 4 dates (vernal equinox, summer solstice, autumn equinox, winter solstice), each one from a different season of the year. The aim of such an approach was to highlight the impact of the time of the day and the year on the energy gain obtained thanks to enabling RES generators as well as on the power consumption of the hardware of each UAV-BS type. The weather conditions assumed within the simulation are typical for the climate in Poland.</p> <h2><strong>Methodology</strong></h2> <p>The power-balance calculations (UAV-BSs' power consumption, renewable energy production) have been based on the mathematical formulas from the scientific literature and performed within the digital simulation runs by using dedicated software developed in Python programming language.</p> <h2><strong>Simulation setup</strong></h2> <p>The setup of the input parameters for used mathematical models (power consumption, energy generation) has been done in accordance with the values attached within the literature positions (cited within the publication included in the <em>Related works</em> section of the following dataset) and adjusted to the considered study. Furthermore, the data used to predict weather conditions are the real data (for the year 2022) collected by the weather stations placed in Poznan. A single simulation run has been performed (which takes into account 2 types of UAV-BS simultaneously and estimates their power balance for 4 seasons of the year), where the time step has been set to 1 hour of the day.</p> <h2><strong>Results</strong></h2> <p>The results of the aforementioned investigations have been included in the attached files (<em>_power_balance_multirotor.csv</em> & <em>_power_balance_fixed_wing.csv</em>). The first column denotes the hour of a particular day. Next, 4 multicolumns have been presented for the following variants — No RES enabled, only PV enabled, only WT enabled, and both types of RES generators enabled. In addition, each multicolumn consists of 4 columns, each of which represents a UAV-BS's hardware power balance (in W) for a different date (season of the year).</p> <h2><strong>Acknowledgment</strong></h2> <p>More details about the conducted study have been described within the attached paper (<em>Related works</em> section). The work (including the following dataset preparation) was realized within project no. 2021/43/B/ST7/01365 funded by the National Science Center in Poland.</p>
Data for "Let's not wing it: Effective conservation of subterranean-roosting bats"
<p>Database as both excel (.xls) and tab-delimited (.csv) associated with the publication: </p> <p>Meierhofer M.B., et al. (2023) Let’s not wing it: Effective conservation of subterranean-roosting bats. <em>Conservation biology.</em></p> <p>Please refer to the main publication for a detailed description. An explanation of the database is available in the Metadata file uploaded alongside the database. R code to reproduce the analysis pipeline is available on GitHub:</p> <p>https://github.com/StefanoMammola/Analysis_Cave_bat_conservation.git</p>
Data, scripts, and R Notebook for Carneiro et al 2023. Flight performance and wing morphology in the bat Carollia perspicillata: biophysical models and energetics. Integrative Zoology DOI:10.1111/1749-4877.12707
<p>Files provided as supporting information for the paper by Carneiro et al. 2023. Flight performance and wing morphology in the bat <em>Carollia perspicillata</em>: biophysical models and energetics. Integrative Zoology. DOI:10.1111/1749-4877.12707</p> <p>File descriptions</p> <p>ArmTA.txt - Temperature and surface areas for arms of <em>C. perspicillata</em> after flight experiment<br> BodyTA.txt - Temperature and surface areas for body of <em>C. perspicillata</em> after flight experiment<br> HeadTA.txt - Temperature and surface areas for head of <em>C. perspicillata</em> after flight experiment<br> WingTA.txt - Temperature and surface areas for wings (patagium) of <em>C. perspicillata</em> after flight experiment<br> WingMorph.txt - Morphological variables measured in the body and wings of <em>C. perspicillata</em><br> HeatLoss.R - Function to estimate heat loss (Qt)<br> PowFlight.R - Function to estimate minimum power required to fly<br> Script-HeatLoss-FlightPerformance.R - R script with set of analyses performed<br> SupportingInformationFile.docx - R notebook with set of analyses performed, word format<br> SupportingInformationFile.nb.html - R notebook with set of analyses performed, html format<br> SupportingInformationFile.Rmd - R notebook with set of analyses performed (R markdown)</p> <p>For the R scripts (Script-HeatLoss-FlightPerformance.R) and notebook (<br> SupportingInformationFile.Rmd) to work and be compiled, all files need to be copied to the same folder.</p>
Journey North - Red-winged blackbird observations by volunteer community scientists across Central and North America (1999-2020)
This data package contains Red-winged Blackbird migration data consisting of 9,352 total observational reports from 1999 - 2020 across North and Central America. These data were collected by 4,647 community scientists for Journey North, a crowdsourced participatory science program of the University of Wisconsin-Madison Arboretum. The Journey North Red-winged Blackbird Project is an ongoing study of Red-winged Blackbird phenology conducted at broad spatial and temporal scales. Since 1999, community scientists have tracked first arrival dates and breeding and feeding behavior as well as the onset of fall migration and presence of Red-winged blackbird species throughout the winter months in the United States. The focal species is the Red-winged Blackbird (Agelaius phoeniceus). Observers also provide estimates of the number of birds sighted. However, observers do not follow standardized methods for counting species observed. Observers do not observe at set times of the day, do not repeat observations regularly, and are not required to provide the length of time during which a specified number of species observed were counted. Therefore, it is recommended that this dataset be analyzed to indicate presence not abundance. Researchers are encouraged to read the rich information provided by volunteers in their comments. These comments provide qualitative information about observational reports. Researchers are also encouraged to refer to submitted photographs that also provide context for observational reports. The Journey North Red-winged Blackbird Project dataset is hosted by the University of Wisconsin-Madison Shared Web Hosting Service.
Butterfly heavy metal content, wing size, egg count, and brain mass in the Minneapolis-St. Paul (MSP) Metropolitan Area
We collected 26 common species of butterflies across a gradient of lead pollution in the Twin Cities metropolitan area (Minneapolis and St. Paul, MN, USA). We measured their thorax lead concentrations and their body condition including wing area, number of eggs, and brain mass. We also quantified lead in the soil, host plant leaves, and air (through lichen bio-monitors) at sites where the butterflies were collected.
Fixed-Wing Micro UAV Open Data With Digicam And Raw INS/GNSS - IGN Flight 8
<p>The data set originate from a series of flights conducted with fixed-wing micro UAV carrying high-quality small camera and navigation sensors. This data was previously used in several peer-reviewed publications and will also be used in ISPRS workshop on dynamic networks given during the 2021 ISPRS Congress. This is part of a larger series of data that will be released gradually after incorporating user's feedback (e.g., on formats, description,etc.). The data set contains the sensor measurements from GPS, IMU and Camera.</p>
CPACS for Rectangular Box Wing
<p>The Datasets represents a common use case in literature used for composite optimisation. A rectangular profile is defined, greater than the desired structure. Spars, ribs and shell cells define the investigated struture and only for them cells are defined.</p><p>The following references are build up as CPACS Dataset:</p><ol><li>Ref3.xml: Marco Picchi Scardaoni and Marco Montemurro. A general global-local modelling framework for the deterministic optimisation of composite structures. Structural and Multidisciplinary Optimization, 62(4):1927–1949, October 2020.</li><li>Ref2.xml: Dianzi Liu, Vassili V. Toroporov, Osvaldo M. Querin, and David C. Barton. Bilevel Optimization of Blended Composite Wing Panels. Journal of Aircraft, 48(1):107–118, January 2011. Publisher: American Institute of Aeronautics and Astronautics.</li><li>Ref1.xml: B. Liu, R.T. Haftka, and M.A. Akg¨un. Two-level composite wing structural optimization using response surfaces. Structural and Multidisciplinary Optimization, 20(2):87–96, October 2000.</li></ol><p>Additionally a version with stiffened covers is created based on number 3.</p>
Vibrational signals produced by wing buzzing in Cacopsylla pyrisuga males (Hemiptera: Psyllidae)
<p>High-speed camera (video files) and laser vibrometer (audio files) recordings of Cacopsylla pyrisuga males producing vibrational signals - a dataset accompanying the publication</p> <p>Polajnar J., Kvinikadze E., Harley A.W., Malenovský I. (2024) Wing buzzing as a mechanism for generating vibrational signals in psyllids (Hemiptera: Psylloidea). Insect Science. See the publication for details about the methodology used.</p> <p>The dataset additionaly includes tracked points at wing and abdomen tips from two videos, and an R script with instructions to read this data.</p>
Passive Perching with Energy Storage for Winged Aerial Robots Dataset
<p>This dataset corresponds to the publication:</p> <p>"Passive Perching with Energy Storage for Winged Aerial Robots" W. Stewart, L. Guarino, Y. Piskarev, and D. Floreano. Advanced Intelligent Systems, <a href="http://doi.org/10.1002/aisy.202100150">http://doi.org/10.1002/aisy.202100150</a></p>
Cambridge butterfly wing collection - Ecuador, August 2019
<p>EN: This upload contains photographs taken by Annalie Barker and Joana Meier at the University of Cambridge, from a butterfly wing collection from Ecuador (August 2019), in collaboration with Caroline Bacquet (IKIAM). Individual sample names can be found in the information sheet. Further Information on individual samples from the Butterfly Genetics Group Collection can be found on the public database Earthcape (<a href="https://heliconius.ecdb.io/">click here for the database</a>, and <a href="https://heliconius.zoo.cam.ac.uk/databases/earthcape-specimen-database/">here for FAQ</a>). Please contact Joana Meier (jm2276[at]cam.ac.uk) or Chris Jiggins (c.jiggins[at]zoo.cam.ac.uk) for further information.</p> <p> </p> <p>ES: Este repositorio contiene fotografías tomadas por Annalie Barker y Joana Meier en la Universidad de Cambridge, de mariposas de Ecuador (Agosto 2019), en colaboración con Caroline Bacquet (IKIAM, Ecuador). Puede encontrar información sobre muestras individuales de Butterfly Genetics Group Collection en la base de datos pública Earthcape (<a href="https://heliconius.ecdb.io/">haga clic aquí para la base de datos</a>, y <a href="https://heliconius.zoo.cam.ac.uk/databases/earthcape-specimen-database/">aquí para preguntas frecuentes</a>) Por favor, póngase en contacto con Joana Meier (jm2276 [arroba] cam.ac.uk) or Chris Jiggins (c.jiggins [arroba] zoo.cam.ac.uk) con sus preguntas o peticiones.</p>
pCRM9 aeroelastic aircraft wing model for NASTRAN without RBE2
<p><strong>pCRM9 aeroelastic aircraft wing model for NASTRAN without RBE2</strong></p> <p>Based on the model published by Paul LANCELOT from Delft University of Technology, Faculty of Aerospace Engineering, Department of Aerospace Structures and Materials</p> <blockquote> <p>Lancelot, Paul (2021): pCRM9 aeroelastic aircraft wing model for NASTRAN. 4TU.ResearchData. Dataset. DOI: <a href="https://doi.org/10.4121/16834387.v1 ">10.4121/16834387.v1 </a></p> </blockquote> <p> </p> <p>Modified by: Saullo G. P. Castro removing RBE2 elements and the input related to the aeroelastic analysis.</p> <p>Delft University of Technology, Faculty of Aerospace Engineering, Department of Aerospace Structures and Materials</p> <p> </p> <p>Contact Information:</p> <p>s.g.p.castro@tudelft.nl</p> <p>Delft University of Technology - Faculty of Aerospace Engineering</p> <p>Kluyverweg 1, 2629HS Delft, The Netherlands</p> <p> </p> <p><strong>General Introduction</strong></p> <p><br> This is the pCRM9 aeroelastic finite element model.</p> <p>It is based on the University of Michigan undeflected CRM geometry:</p> <blockquote> <p>Brooks, Timothy; Kenway, Gaetan G.W.; Martins, Joaquim (2019), “uCRM: undeflected Common Research Model”, Mendeley Data, V1, DOI: <a href="https://doi.org/10.17632/gpk4zn73xn.1">10.17632/gpk4zn73xn.1</a></p> </blockquote> <p> </p> <p>This FEM model is tailored for optimisation and load analysis using NASTRAN.</p> <p><strong>Content</strong></p> <p>pCRM9_103_MAIN_FILE.bdf is the main file to run the analysis with NASTRAN SOL103, natural frequency solution.<br> pCRM9_CONM2_MTOW.dat contains the weigth and balance informations of the model.<br> pCRM9_mat.dat contains the material informtions of the model (in this case aluminium).<br> pCRM9_model_2.dat contains the finite elements informations of the model (GRID, CQUAD, RBE cards etc.).<br> pCRM9_PSHELL.dat contains the mechanical propeties for each elements of the model.<br> pCRM9_ribs_fem.dat contains the finite elements informations relative to the ribs of the wingbox.<br> pCRM9_FEM_model.PNG is an illustration of the structural model.</p> <p> </p>
Zellige example dataset: Drosophila pupal wing and abdomen
<p><strong>Drosophila pupa imaged at around 24h after puparium formation. </strong></p> <p>The z-stack image encompasses a distal portion of the wing and a portion of the abdomen. The four distinct surfaces are the abdomen cuticle, the abdomen epithelium, the wing cuticle and the wing epithelium. The z-stack was acquired with a spinning disk confocal microscope (Yokogawa W1) equipped with a Nikon Plan-Apochromat 60x lens (NA=1.4). Pixel size 0.183 µm, z step <1 µm. This dataset contains both the ground-truth height maps and the height maps generated with Zellige.The Zellige parameters used are:</p> <p><span class="math-tex">\(T_{A}=6, T_{otsu}=1, S_{min}=5, \sigma_{xy}=5, \sigma_{z}=1, T_{OSE1}=0.7, R_{1}=10, C_{1}=0.8, T_{OSE2}=0.1, R_{2}=5, C_{2}=0.9.\)</span></p> <p>Nota: to compare the ground truth height map with the Zellige height map, one first needs to substrat 1 to all values of the Zellige height map.</p> <p>See the accompanying paper: Extracting multiple surfaces from 3D microscopy images in complex biological tissues with the Zellige software tool. Trébeau <em>et al.</em> 2022: <a href="https://doi.org/10.1101/2022.04.05.485876">https://doi.org/10.1101/2022.04.05.485876</a></p> <p> </p>
Insect Wings
<p>Data on insect wing morphology derived from the following sources: </p> <p>Andersen, N., Cheng, L. 2004. The marine insect Halobates (Heteroptera: Gerridae): Biology, adaptations, distribution, and phylogeny. Oceanography and Marine Biology: An Annual Review 42:119–180. <a href="https://doi.org/10.1201/9780203507810.ch5">https://doi.org/10.1201/9780203507810.ch5</a></p> <p>Ball, E. D. and Hartzell A. 1922. Review of the Desert Leafhoppers of the Orgerini (Rhynchota Fulgoridae). Annals of the Entomological Society of America 15(2):137-152. <a href="https://doi.org/10.1093/aesa/15.2.137">https://doi.org/10.1093/aesa/15.2.137</a></p> <p>Bickel, D. J. 2006. Papallacta (Diptera: Dolichopodidae), a New Stenopterous Genus from the Páramo of Ecuador. Tijdschrift Voor Entomologie 149(2):209–13. <a href="https://doi.org/10.1163/22119434-900000201">https://doi.org/10.1163/22119434-900000201</a>.</p> <p>Braendle, C., Davis, G., Brisson, J. et al. 2006. Wing dimorphism in aphids. Heredity 97:192-199. <a href="https://doi.org/10.1038/sj.hdy.6800863">https://doi.org/10.1038/sj.hdy.6800863</a></p> <p>Brothers, D.J., Lelej, A.S. 2017. Phylogeny and higher classification of Mutillidae (Hymenoptera) based on morphological reanalyses. Journal of Hymenoptera Research 60:1–97. <a href="https://doi.org/10.3897/jhr.60.20091">https://doi.org/10.3897/jhr.60.20091</a></p> <p>Byers, G.V. 1969. Evolution of Wing Reduction in Crane Flies (diptera: Tipulidae). Evolution 23:346–354. <a href="https://doi.org/10.1111/j.1558-5646.1969.tb03517">https://doi.org/10.1111/j.1558-5646.1969.tb03517</a></p> <p>Byers, G.W. 1997. Biology of Brachypanorpa (Mecoptera: Panorpodidae). Journal of the Kansas Entomological Society 70:313–322. </p> <p>Cambra T, R.A., A, D.Q. 2007. Chilemutilla, a new genus of Mutillidae (Hymenoptera) from Chile, and the description of the first wingless mutillid male from South America. Transactions of the American Entomological Society 133:167–180. <a href="https://doi.org/10.3157/0002-8320(2007)133[167:CANGOM]2.0.CO;2">https://doi.org/10.3157/0002-8320(2007)133[167:CANGOM]2.0.CO;2</a></p> <p>Chen X, Mirab-balou M, Minaei K. 2013. An illustrated key to the genera of Thripinae (Thysanoptera, Thripidae) from Iran. ZooKeys 317: 27-52. <a href="https://doi.org/10.3897/zookeys.317.5447">https://doi.org/10.3897/zookeys.317.5447</a></p> <p>Cheng, L. 1977. The elusive sea bug Hermatobates (Heteroptera). The Pan-Pacific entomologist 53(2):87--97. </p> <p>Davis, D.R., Quintero, D.A., Cambra, R.A. and Aiello, A. 2008. Biology of a new Panamanian bagworm moth (Lepidoptera: Psychidae) with predatory larvae, and eggs individually wrapped in setal cases. Annals of the Entomological Society of America, 101(4):689-702. </p> <p>De Jong, H. and Ciliberti, P. 2014. How cold‐adapted flightless flies dispersed over the northern hemisphere: phylogeny and biogeography of the snow fly genus Chionea D alman (D iptera: Limoniidae). Systematic Entomology, 39(3):563-589. </p> <p>Gnezdilov, Vladimir M. 2012. A New Stenopterous Genus of the Tribe Gaetuliini Fennah (Hemiptera, Fulgoroidea, Tropiduchidae) from Southern Africa - Particular Intercontinental Convergence. AFRICAN INVERTEBRATES 53:8. </p> <p>Grimaldi, D. & Engel, M.S. 2005. Evolution of the Insects. Cambridge University Press. Grimaldi, D. and Underwood, B.A., 1986. Megabraula, a new genus for two new species of Braulidae (Diptera), and a discussion of braulid evolution. Systematic entomology, 11(4):427-438. </p> <p>Hackman, W. 1966. On wing reduction and loss of wings in Lepidoptera.Notulae Entomologica 46:1–16. Heppner, J.B., 1991. Brachyptery and aptery in Lepidoptera. Tropical Lepidoptera Research 2:11-40. </p> <p>Hölldobler, B. & Wilson, E. O. 1990. The Ants. Harvard University Press. Hopkins H. 2014. A revision of the genus Arenivaga (Rehn) (Blattodea, Corydiidae), with descriptions of new species and key to the males of the genus. ZooKeys 384:1-256. <a href="https://doi.org/10.3897/zookeys.384.6197">https://doi.org/10.3897/zookeys.384.6197</a></p> <p>Lambdin P. 2008. Scale Insects and Mealybugs (Hemiptera: Coccoidea). In: Capinera J.L. (eds) Encyclopedia of Entomology. Springer, Dordrecht. <a href="https://doi.org/10.1007/978-1-4020-6359-6_4040">https://doi.org/10.1007/978-1-4020-6359-6_4040</a></p> <p>Lelej, A.S. and Krombein, K.V. 2001. Review of the Oriental mutillid wasps of the subfamily Ticoplinae (Hymenoptera, Mutillidae). Far Eastern Entomologist 99:1-18. </p> <p>Lloyd, J. E. 2002. 17 - Louse Flies, Keds, and Related Flies (Hippoboscoidea). Pages 349-362 in Medical and Veterinary Entomology, Gary Mullen & Lance Durden, eds., Academic Press. <a href="https://doi.org/10.1016/B978-012510451-7/50019-0">https://doi.org/10.1016/B978-012510451-7/50019-0</a></p> <p>McCulloch GA, Waters JM. Does wing reduction influence the relationship between altitude and insect body size? A case study using New Zealand__s diverse stonefly fauna. Ecology and Evolution. 2018 Jan;8(2):953-960. <a href="https://doi.org/10.1002/ece3.3713">https://doi.org/10.1002/ece3.3713</a></p> <p>Miller, Kelly B., Cheryl Hayashi, Michael F. Whiting, Gavin J. Svenson, and Janice S. Edgerly. 2012. The Phylogeny and Classification of Embioptera (Insecta). Systematic Entomology 37(3):550–70. <a href="https://doi.org/10.1111/j.1365-3113.2012.00628.x">https://doi.org/10.1111/j.1365-3113.2012.00628.x</a></p> <p>Mound L, Nakahara S, Tsuda DM. 2016. Thysanoptera-Terebrantia of the Hawaiian Islands: an identification manual. ZooKeys 549: 71-126. <a href="https://doi.org/10.3897/zookeys.549.6889">https://doi.org/10.3897/zookeys.549.6889</a></p> <p>Mound, L. & Moritz, G. 2000. Corroboreethrips, a new genus of minute apterous thrips (Insecta : Thysanoptera : Phlaeothripinae) from the bark of Australian Acacia trees. Invertebrate Taxonomy 14:709-716. <a href="https://doi.org/10.1071/IT00002">https://doi.org/10.1071/IT00002</a></p> <p>Mound, L.A. 2005. THYSANOPTERA: Diversity and Interactions. Annu. Rev. Entomol. 50, 247–269. <a href="https://doi.org/10.1146/annurev.ento.49.061802.123318">https://doi.org/10.1146/annurev.ento.49.061802.123318</a></p> <p>Nadel, H. 2008. Agaonidae (Hymenoptera). In: Capinera J.L. (eds) Encyclopedia of Entomology. Springer, Dordrecht. <a href="https://doi.org/10.1007/978-1-4020-6359-6_104">https://doi.org/10.1007/978-1-4020-6359-6_104</a></p> <p>Nakata, S. & Maa, T.C., 1974. A review of the parasitic earwigs (Dermaptera: Arixeniina; Hemimerina). Pacific Insects 16:307-374. </p> <p>Niitsu, S., Sugawara, H., Hayashi, F. 2017. Evolution of female-specific wingless forms in bagworm moths: Wing reduction in bagworm moths. Evolution & Development 19:9–16. <a href="https://doi.org/10.1111/ede.12213">https://doi.org/10.1111/ede.12213</a></p> <p>O__Brien L.B. 2008. Planthoppers (Hemiptera: Fulgoroidea). In: Capinera J.L. (eds) Encyclopedia of Entomology. Springer, Dordrecht. <a href="https://doi.org/10.1007/978-1-4020-6359-6_2987">https://doi.org/10.1007/978-1-4020-6359-6_2987</a></p> <p>Oswald, J. D. 1996. A New brachypterous Nusalala species from Costa Rica, with comments on the evolution of flightlessness in brown lacewings (Neuroptera: Hemerobiidae). Systematic Entomology 21(4):343–52. <a href="https://doi.org/10.1111/j.1365-3113.1996.tb00603.x">https://doi.org/10.1111/j.1365-3113.1996.tb00603.x</a></p> <p>Peck, S.B. 2006. Distribution and biology of the ectoparasitic beaver beetle Platypsyllus castoris Ritsema in North America (Coleoptera: Leiodidae: Platypsyllinae). Insecta Mundi 20:85–94. Penny, N.D. 1975. Evolution of the Extant Mecoptera. Journal of the Kansas Entomological Society 48:331–350. </p> <p>Pitkin, L.M. and Sattler, K. 1991. Sattleria: a European genus of brachypterous alpine moths (Lepidoptera: Gelechiidae). Bulletin of the British Museum, Natural History. Entomology 60(2):205-241. </p> <p>Rindge, F. H. 1974. A revision of the moth genus Animomyia (Lepidoptera, Geometridae). American Museum novitates 2554:1-23. </p> <p>Roff, Derek A. 1990. The Evolution of Flightlessness in Insects. Ecological Monographs 60(4):389–421. <a href="https://doi.org/10.2307/1943013">https://doi.org/10.2307/1943013</a></p> <p>Roza, André Silva, & Mermudes, José Ricardo Miras. (2020). A new genus of railroad-worm beetles from the Atlantic Rainforest from Brazil (Coleoptera: Phengodidae, Mastinocerinae). Papéis Avulsos de Zoologia, 60(spe), e202060(s.i.).10. Epub May 18, 2020. <a href="https://doi.org/10.11606/1807-0205/2020.60.special-issue.10">https://doi.org/10.11606/1807-0205/2020.60.special-issue.10</a></p> <p>Schuh, R. T. & Slater, J. A. 1995. The True Bugs of the World (Hemiptera: Heteroptera). Classification and Natural History. Cornell University Press, Ithaca, New York. Shovkoon, D.F., 2008. On the rediscovery of Ethmia discrepitella (Rebel, 1901) with remarks on brachyptery in females of Ethmia (Ethmiidae). Nota lepidopterologica 31(2):215–221. </p> <p>Song, H., Béthoux, O., Shin, S. et al. 2020. Phylogenomic analysis sheds light on the evolutionary pathways towards acoustic communication in Orthoptera. Nat Commun 11, 4939. <a href="https://doi.org/10.1038/s41467-020-18739-4">https://doi.org/10.1038/s41467-020-18739-4</a></p> <p>Vickery, V. R. and Sandoval, C. P. 2001. Descriptions of Three New Species of Timema (Phasmatoptera: Timematodea: Timematidae) and Notes on Three Other Species. Journal of Orthoptera Research 10(1):53-61. <a href="https://www.jstor.org/stable/3503674">https://www.jstor.org/stable/3503674 </a></p> <p>Wu C, Liu C-X. 2020. New record of Didymocorypha Wood-Mason (Mantodea, Eremiaphilidae) from China, with description of a new high-altitude wingless mantis species in Asia. ZooKeys 922:51-64. <a href="https://doi.org/10.3897/zookeys.922.47987">https://doi.org/10.3897/zookeys.922.47987</a></p> <p>Yoshizawa, K. and Lienhard, C. 2010. In search of the sister group of the true lice: A systematic review of booklice and their relatives, with an updated checklist of Liposcelididae (Insecta: Psocodea). Arthropod Systematics & Phylogeny, 68(2):181-195.</p>
Atmospheric sounding of the boundary layer over alpine glaciers using fixed-wing UAVs
<p>Additional code and data for the paper by Groos et al. entitled "Atmospheric sounding of the boundary layer over alpine glaciers using fixed-wing UAVs"</p> <p>Correspondence: Alexander R. Groos (alexander.groos@fau.de)</p> <p><br>The repository contains:<br>(1) The raw data (log files) for each UAV-based atmospheric sounding<br>(2) The postprocessed and reformatted data for each sounding and vertical profile<br>(3) The commented R-Scripts for data processing, analysis and visualisation<br>(4) A subset of the meteorological data from the nearby weather stations</p> <p><br>Description of sub-folders:</p> <p>-aws_data<br>-- aws_fisistock.txt # meteorological data from AWS Fisistock for the period of the campaign<br>-- aws_gandegg.txt # meteorological data from AWS Gandegg for the period of the campaign<br>-- aws_sackhorn.txt # meteorological data from AWS Sackhorn for the period of the campaign</p> <p>- processed_data<br>-- kanderfirn_2021-06-16_10:45_p1_pprz.tab # meteorological data for first profile/descent at about <br>-- kanderfirn_2021-06-16_10:45_p2_fr.tab # flight recorder data for second profile/descent at about 10:45 CEST<br>-- kanderfirn_2021-06-16_10:45_p2_pprz.tab # meteorological data for second profile/descent at about 10:45 CEST<br>-- kanderfirn_2021-06-16_10:45_pprz.tab # meteorological data for the entire sounding (first and second profile/descent) at about 10:45 CEST<br>-- .<br>-- .<br>-- .<br>-- kanderfirn_2021-06-16_16:50_p1_pprz.tab # meteorological data for first profile/descent at about 16:50 CEST<br>-- kanderfirn_2021-06-16_16:50_p2_fr.tab # flight recorder data for second profile/descent at about 16:50 CEST<br>-- kanderfirn_2021-06-16_16:50_p2_pprz.tab # meteorological data for second profile/descent at about 16:50 CEST<br>-- kanderfirn_2021-06-16_16:50_pprz.tab # meteorological data for the entire sounding (first and second profile/descent) at about 16:50 CEST<br>-- kanderfirn_soundings_2021-06-16.csv # summary table of vertical profiles (1 m height intervals): one column for each profile/descent and variable<br>-- kanderfirn_turbulence_2021-06-16.csv # summary table of vertical turbulence profiles (1 m height intervals): one column for each profile/descent</p> <p>- raw_data<br>-- fr_kanderfirn_2021-06-16_10:45.LOG # flight recorder data from the sounding at about 10:45 CEST (binary file)<br>-- .<br>-- .<br>-- .<br>-- fr_kanderfirn_2021-06-16_16:50.LOG # flight recorder data from the sounding at about 16:50 CEST (binary file)<br>-- pprz_kanderfirn_2021-06-16_10:45.LOG # meteorological data from the sounding at about 10:45 CEST (human readable text file)<br>-- .<br>-- .<br>-- .<br>-- pprz_kanderfirn_2021-06-16_16:50.LOG # meteorological data data from the sounding at about 16:50 CEST (human readable text file)</p> <p>- R_scripts<br>-- figures.R # Script to create Figures 5, 6, 8, 9, 10, 11, 12<br>-- lapse_rate.R # Script to calculate lapse rates and surface-based inversions (includes code for Figures 7 and B1)<br>-- postprocessing.R # Script to reformat preprocessed and preselected pprz-files<br>-- turbulence.R # Script for the calculation of the turbulence proxy from the recorded roll rate</p>
Experimental gust response and flutter test of a wing with a fixed and a hinged wingtip
<p>Gust responses and flutter test of a wing with a hinged and a fixed wingtip. The experiments were performed at the Swansea University wind tunnel by Davide Balatti as part of his research. Additional information in:</p> <p>[1] D. Balatti, H.H. Khodaparast, M.I. Friswell, & M. Manolesos (2022). Aeroelastic model validation through wind tunnel testing of a wing with hinged wingtip. In International Forum on Aeroelasticity and Structural Dynamics (IFASD), Madrid (https://www.researchgate.net/publication/361418631_AEROELASTIC_MODEL_VALIDATION_THROUGH_WIND_TUNNEL_TESTING_OF_A_WING_WITH_HINGED_WINGTIP)</p> <p>[2] Balatti, D., Khodaparast, H. H., Friswell, M. I., Manolesos, M., & Castrichini, A. Improving gust load alleviation performance of hinge wingtip using validated aeroelastic models. <em>Available at SSRN 4258795</em>.(https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4258795)</p>
MIGR-TWIT CORPORA. Migration Tweets of French Left-wing Politics.
<p><strong>Description</strong></p> <p>The <strong>FR-L-MIGR-TWIT Corpus</strong> is part of the <strong><a href="https://www.ortolang.fr/market/corpora/migr-twit-corpus">MIGR-TWIT CORPORA</a></strong>, diachronic bilingual corpus of Tweets about the topic of migration in Europe.<br>Within the framework of the collaborative research project <a href="https://olindinum.huma-num.fr/recherche/">OLiNDiNUM</a> (Observatoire LINguistique du DIscours NUMérique, [Linguistic Observatory of Online Debate]), the MIGR-TWIT Corpora are created with the aim to study the evolution of the public discourse on migration in Europe during the past dozen years from 2011 to 2022. First two components of the corpus represent migration discourse of right-wing politics in France and in the UK. The FR-L-MIGR-TWIT Corpus represents French left-wing politics' migration discourse on Twitter. </p> <p>Using the <em>Twitter API v2 Academic Research</em>, the Tweets containing at least one occurrence of lexicon derived from a latin root "<em>migr</em>" of <em>migrare </em>are automatically retrieved from 23 Twitter accounts of French left-wing political figures and parties.<br> </p> <p><strong>Scientific reference : </strong>Jeon, S. (2025). Le discours numérique sur l'immigration en France entre 2011 et 2022. Une analyse de corpus (Online Discourse on Immigration in France between 2011 and 2022. A Corpus Analysis), PhD Thesis, Université de Lille, France.</p> <p><strong>Contents</strong><br>The downloadable version of <strong>FR-L-MIGR-TWIT-2011-2022</strong> <strong>Corpus </strong>contains 32 CSV files (tabular format). The corpus is presented in simplified and complete versions in terms of metadata. The simplified version corresponds to one single file named <em><strong>FR-L-MIGR-TWIT-2011-2022.csv</strong></em>, containing four basic (meta)data, <em>i.e</em>. identifier, text, posting date and username (that is, <em><strong>data__id</strong></em>, <strong>data__text</strong>, <em><strong>data__created_at</strong></em> and <strong><em>author__name</em></strong><em> </em>as the table hearder elements). In addition to these four (meta)data, the elaborate version is provided with all Tweet fields information included as a header element, such as the numbers of Replies, Retweets, Likes and Quotes, etc. This version is also available in one single CSV file named <em><strong>FR-L-MIGR-TWIT-2011-2022_meta.csv</strong></em>.</p> <p>Besides, the elaborate version is provided with three CSV Zip files: 7 CSV files in the zip file named <em>FR-L-MIGR-TWIT-</em><strong><em>YEAR</em></strong><em>_meta</em> correspond to grouped years (<em>i.e. FR-L-MIGR-TWIT-<strong>2011-2016</strong>_meta.csv</em>) or each and every year (<em>e.g. FR-L-MIGR-TWIT-<strong>2017</strong>_meta.csv, </em>and so on) for the last dozen years. 23 files in the zip file named <em>FR-L-<strong>NAME</strong>-MIGR-TWIT_meta</em> for each and every component of selected French left-wing political figures and parties (<em>e.g. FR-L-<strong>Arthaud</strong>-TWIT_meta.csv</em>). The zip file named FR-L-MIGR-TWIT-2011-2022_meta contains yearly Tweets of each and every component of political figures and parties.</p> <p>Detailed information of the FR-L-MIGR-TWIT-2011-2022 CORPUS is illustrated below.</p> <ul> <li><strong>Created at:</strong> 2023-04-18</li> <li><strong>Language:</strong> FR</li> <li><strong>Coverage:</strong> <strong>23</strong> <strong>user accounts</strong> ; <strong>5,636 Tweets</strong> ; <strong>169,818 words</strong></li> <li><strong>Time of data collection:</strong> start=2011-01-01 ; end=2022-06-30</li> <li><strong>Keywords: </strong>words derived from a latine root “<strong><em>migr</em></strong>” of <em>migrare</em></li> <li><strong>Corpus composition:</strong></li> </ul> <table> <tbody> <tr> <td> <p> </p> </td> <td> <p><strong>Political Figure/party</strong></p> </td> <td> <p><strong>Type of representative</strong></p> </td> <td> <p><strong>Username</strong></p> </td> <td> <p><strong><em>migr</em>-Tweets</strong></p> </td> </tr> <tr> <td> <p><strong>1</strong></p> </td> <td> <p><strong>Adrien Quatennens</strong></p> </td> <td> <p><strong>PERSON (M)</strong></p> </td> <td> <p><strong>@AQuatennens</strong></p> </td> <td> <p><strong>315</strong></p> </td> </tr> <tr> <td> <p><strong>2</strong></p> </td> <td> <p><strong>Alexis Corbière</strong></p> </td> <td> <p><strong>PERSON(M)</strong></p> </td> <td> <p><strong>@Alexiscorbiere</strong></p> </td> <td> <p><strong>209</strong></p> </td> </tr> <tr> <td> <p><strong>3</strong></p> </td> <td> <p><strong>Anne Hidalgo</strong></p> </td> <td> <p><strong>PERSON (F)</strong></p> </td> <td> <p><strong>@Anne_Hidalgo</strong></p> </td> <td> <p><strong>801</strong></p> </td> </tr> <tr> <td> <p><strong>4</strong></p> </td> <td> <p><strong>Arnaud Montebourg*</strong></p> </td> <td> <p><strong>PERSON (M)</strong></p> </td> <td> <p><strong>@montebourg</strong></p> </td> <td> <p><strong>7</strong></p> </td> </tr> <tr> <td> <p><strong>5</strong></p> </td> <td> <p><strong>Benoît Hamon</strong></p> </td> <td> <p><strong>PERSON (M)</strong></p> </td> <td> <p><strong>@benoithamon</strong></p> </td> <td> <p><strong>172</strong></p> </td> </tr> <tr> <td> <p><strong>6</strong></p> </td> <td> <p><strong>Christiane Taubira</strong></p> </td> <td> <p><strong>PERSON (F)</strong></p> </td> <td> <p><strong>@ChTaubira</strong></p> </td> <td> <p><strong>11</strong></p> </td> </tr> <tr> <td> <p><strong>7</strong></p> </td> <td> <p><strong>Clémentine Autain</strong></p> </td> <td> <p><strong>PERSON (F)</strong></p> </td> <td> <p><strong>@Clem_Autain</strong></p> </td> <td> <p><strong>102</strong></p> </td> </tr> <tr> <td> <p><strong>8</strong></p> </td> <td> <p><strong>Danièle Obono</strong></p> </td> <td> <p><strong>PERSON (F)</strong></p> </td> <td> <p><strong>@Deputee_Obono</strong></p> </td> <td> <p><strong>415</strong></p> </td> </tr> <tr> <td> <p><strong>9</strong></p> </td> <td> <p><strong>Esther Benbassa**</strong></p> </td> <td> <p><strong>PERSON (F)</strong></p> </td> <td> <p><strong>@EstherBenbassa</strong></p> </td> <td> <p><strong>936</strong></p> </td> </tr> <tr> <td> <p><strong>10</strong></p> </td> <td> <p><strong>François Hollande</strong></p> </td> <td> <p><strong>PERSON (M)</strong></p> </td> <td> <p><strong>@fhollande</strong></p> </td> <td> <p><strong>28</strong></p> </td> </tr> <tr> <td> <p><strong>11</strong></p> </td> <td> <p><strong>François_Ruffin</strong></p> </td> <td> <p><strong>PERSON (M)</strong></p> </td> <td> <p><strong>@Francois_Ruffin</strong></p> </td> <td> <p><strong>19</strong></p> </td> </tr> <tr> <td> <p><strong>12</strong></p> </td> <td> <p><strong>Jean-Luc Mélenchon</strong></p> </td> <td> <p><strong>PERSON (M)</strong></p> </td> <td> <p><strong>@JLMelenchon</strong></p> </td> <td> <p><strong>240</strong></p> </td> </tr> <tr> <td> <p><strong>13</strong></p> </td> <td> <p><strong>Manon Aubry</strong></p> </td> <td> <p><strong>PERSON (F)</strong></p> </td> <td> <p><strong>@ManonAubryFr</strong></p> </td> <td> <p><strong>182</strong></p> </td> </tr> <tr> <td> <p><strong>14</strong></p> </td> <td> <p><strong>Natalie Arthaud</strong></p> </td> <td> <p><strong>PERSON (F)</strong></p> </td> <td> <p><strong>@n_arthaud</strong></p> </td> <td> <p><strong>165</strong></p> </td> </tr> <tr> <td> <p><strong>15</strong></p> </td> <td> <p><strong>Philippe Poutou</strong></p> </td> <td> <p><strong>PERSON (M)</strong></p> </td> <td> <p><strong>@PhilippePoutou</strong></p> </td> <td> <p><strong>83</strong></p> </td> </tr> <tr> <td> <p><strong>16</strong></p> </td> <td> <p><strong>Raphael Glucksmann</strong></p> </td> <td> <p><strong>PERSON (M)</strong></p> </td> <td> <p><strong>@rglucks1</strong></p> </td> <td> <p><strong>142</strong></p> </td> </tr> <tr> <td> <p><strong>17</strong></p> </td> <td> <p><strong>Yannick Jadot</strong></p> </td> <td> <p><strong>PERSON (M)</strong></p> </td> <td> <p><strong>@yjadot</strong></p> </td> <td> <p><strong>374</strong></p> </td> </tr> <tr> <td> <p><strong>18</strong></p> </td> <td> <p><strong>Europe Écologie-Les Verts</strong></p> </td> <td> <p><strong>ORGANIZATION</strong></p> </td> <td> <p><strong>@EELV</strong></p> </td> <td> <p><strong>484</strong></p> </td> </tr> <tr> <td> <p><strong>19</strong></p> </td> <td> <p><strong>Gauche Républicaine et Socialiste</strong></p> </td> <td> <p><strong>ORGANIZATION</strong></p> </td> <td> <p><strong>@Gauche_RS</strong></p> </td> <td> <p><strong>73</strong></p> </td> </tr> <tr> <td> <p><strong>20</strong></p> </td> <td> <p><strong>Génération.s</strong></p> </td> <td> <p><strong>ORGANIZATION</strong></p> </td> <td> <p><strong>@GenerationsMvt</strong></p> </td> <td> <p><strong>165</strong></p> </td> </tr> <tr> <td> <p><strong>21</strong></p> </td> <td> <p><strong>La France Insoumise</strong></p> </td> <td> <p><strong>ORGANIZATION</strong></p> </td> <td> <p><strong>@FranceInsoumise</strong></p> </td> <td> <p><strong>300</strong></p> </td> </tr> <tr> <td> <p><strong>22</strong></p> </td> <td> <p><strong>Parti Radical Gauche</strong></p> </td> <td> <p><strong>ORGANIZATION</strong></p> </td> <td> <p><strong>@PartiRadicalG</strong></p> </td> <td> <p><strong>37</strong></p> </td> </tr> <tr> <td> <p><strong>23</strong></p> </td> <td> <p><strong>Parti Socialiste</strong></p> </td> <td> <p><strong>ORGANIZATION</strong></p> </td> <td> <p><strong>@partisocialiste</strong></p> </td> <td> <p><strong>376</strong></p> </td> </tr> </tbody> </table> <ul> <li>Political figures and parties, listed in alphabetical order, are selected according to the four criteria: (1) the high number of <em>migr</em>-tweets, (2) the political affiliation, (3) the political careers, that is, the Member of the European Parliament or (4) the presidential candidate during the period between 2011 and 2022. These four criteria are not mutually exclusive.</li> <li>As part of a doctoral thesis (<a href="https://theses.fr/s360032">Jeon, 2025</a>), the FR-L-MIGR-TWIT and FR-R-MIGR-TWIT corpora are compiled, annotated and analyzed through a comparative discourse analysis approach, with the aim to study the semantic construction of <em>migr</em>-lexicon over the period between 2011 and 2022.</li> <li>*One migration Tweet retrieved from the user account @montebourg for the year of 2019 was removed and is not included in his 7 <em>migr</em>-tweets because it refers to the issue of the migration of honey bees.</li> <li>**We later added the user account @EstherBenbassa represented by Esther Benbassa, senator and former member of political party Europe Écologie-Les Verts (representative of the user account @EELV), because of the high number of her <em>migr</em>-tweets that were retweeted by @EELV.</li> </ul> <p>The <strong>MIGR-TWIT</strong> <strong>Corpus</strong> consists of three subcorpora for a total amount of <strong>23,869 Tweets </strong>and <strong>703,016</strong> <strong>words</strong>:</p> <ul> <li>FR-R-MIGR-TWIT-2011-2022 Corpus: <em>French Right-wing</em> politics' <em>migr</em>-tweets</li> <li>UK-R-MIGR-RA-TWIT-2011-2022 Corpus: <em>British Right-wing</em> politics' <em>migr</em>-tweets</li> <li>FR-L-MIGR-TWIT-2011-2022 Corpus: <em>French Left-wing</em> politics' <em>migr</em>-tweets </li> </ul> <p> </p>
Fig. 1. Psilotreta daidalos Malicky 2000. A. Head, anterior view. B. Head, dorsal view. C. Maxillary palp. D. Wing veins. E. Male genitalia, left lateral view. F. Male genitalia, dorsal view. G. Male genitalia, ventral view. H. Phallus, left lateral view. I. Segment X, left lateral view. J. Parameres, ventral view. K in The Psilotreta Banks, 1899 of the Dabie Mountains, east central China, with descriptions of two new species (Insecta: Trichoptera: Odontoceridae)
Fig. 1. Psilotreta daidalos Malicky 2000. A. Head, anterior view. B. Head, dorsal view. C. Maxillary palp. D. Wing veins. E. Male genitalia, left lateral view. F. Male genitalia, dorsal view. G. Male genitalia, ventral view. H. Phallus, left lateral view. I. Segment X, left lateral view. J. Parameres, ventral view. K. Aedeagus, ventral view. Scale bars: A–C = 200 µm; D = 1 mm; E–K = 250 µm.
Figures 815-826. Hind wings. 815 in Morphology of Baridinae and related groups (Coleoptera, Curculionidae)
Figures 815-826. Hind wings. 815, Embates chaetopus, showing 1A and 1A defined near wing margin 1 2 and developed 3A merging with A; 816, Diorymerus lancifer, showing R3 forming a thin, sclerotized vein; 817, Cyrionyx camelus, showing reduced mst; 818, Solaria curtula, indicating absence of rm and showing developed mst; 819, Palmelampius heinrichi, showing reduced 3A; 820, Pycnotheantis sp., showing developed rm; 821, Telemus sp., showing R3 forming a thin, sclerotized vein, developed 3A merging with A, and 1A and 1A defined near wing margin; 822, Megabaris quadriguttata, showing R3 forming a thin, 1 2 sclerotized vein; 823, Zygobaris sp.; 824, Trachymeropsis palmipes, showing reduced 3A; 825, Cyrtepistomus castaneus, showing reduced pst, reduced mst, and developed 3A merging with A; 826, Cryptorhynchus lapathi, showing developed 3A.
Figures 827-840. Hind wings. 827 in Morphology of Baridinae and related groups (Coleoptera, Curculionidae)
Figures 827-840. Hind wings. 827, Dryophthorus americanus; 828, Bagous transversus; 829, Cholus rana; 830, Cossonus impressifrons; 831, Curculio pardalis; 832, Hylurgops planirostris; 833, Testalthea sp.; 834, Pacomes distortus; 835, Trichodocerus sp.; 836, Coeliodes flavicaudis; 837, Mononychus vulpeculus; 838, Hypurus bertrandi; 839, Trigonocolus curvipes; 840, Mecopus trilineatus.
Figures 841-845. Hind wings. 841 in Morphology of Baridinae and related groups (Coleoptera, Curculionidae)
Figures 841-845. Hind wings. 841, Cylindrocopturus adspersus; 842, Telephae oculata; 843, Balanogastris kolae; 844, Metialma signifera; 845, Cyllophorus fausciatus.
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