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Supplementary material 4 from: Rozo-Lopez P, Mengual X (2015) Mosquito species (Diptera, Culicidae) in three ecosystems from the Colombian Andes: identification through DNA barcoding and adult morphology. ZooKeys 513: 39-64. https://doi.org/10.3897/zookeys.513.9561
Outgroup taxa used in the present study: Explanation note: Outgroup taxa used in the present study. Sequences downloaded from BOLD between December 2013 and February 2014.
Supplementary material 3 from: Rozo-Lopez P, Mengual X (2015) Mosquito species (Diptera, Culicidae) in three ecosystems from the Colombian Andes: identification through DNA barcoding and adult morphology. ZooKeys 513: 39-64. https://doi.org/10.3897/zookeys.513.9561
Mosquito specimens collected in Uraba during 2009 (unpublish data): Explanation note: Additional sequences of mosquitoes collected in rural areas of Uraba (Antioquia, Colombia) during 2009, including sampling information.
Supplementary material 5 from: Rozo-Lopez P, Mengual X (2015) Mosquito species (Diptera, Culicidae) in three ecosystems from the Colombian Andes: identification through DNA barcoding and adult morphology. ZooKeys 513: 39-64. https://doi.org/10.3897/zookeys.513.9561
NJ tree based on 1,292 sequences of Neotropical mosquitoes: Explanation note: Original Neighbour-Joining tree of the barcoding sequences of mosquito species listed for the Neotropics, based on Tamura-Nei genetic distances.
FIGURE 1 in Orthopodomyia pulcripalpis (Diptera: Culicidae), a genus and species new to the Iranian mosquito fauna, with a review of bionomical information *
FIGURE 1. Orthopodomyia pulcripalpis (Rondani), Captured in Pareh Village, Rudbar County, Guilan Province, northern Iran, 18 July 2016 (original photographs).
FIGURE 2 in Orthopodomyia pulcripalpis (Diptera: Culicidae), a genus and species new to the Iranian mosquito fauna, with a review of bionomical information *
FIGURE 2. Map of Iran highlighting the location of Guilan Province and its 16 counties, including Rudbar County (highlighted) and Pareh Village (indicated by the star) where the specimen of Orthopodomyia pulcripalpis (Rondani) was collected.
FIGURE 5 in The Cretaceous Fossil Burmaculex antiquus Confirmed as the Earliest Known Lineage of Mosquitoes (Diptera: Culicidae)
FIGURE 5. Cladogram indicaTing The relaTionship of Burmaculex antiquus To oTher Culicidae. Circles refer To synapomorphies discussed in The TexT and numbered sTaTes are Those discussed more fully by BorkenT & Grimaldi (2004).
FIGURE 4 in The Cretaceous Fossil Burmaculex antiquus Confirmed as the Earliest Known Lineage of Mosquitoes (Diptera: Culicidae)
FIGURE 4. STrucTures of Burmaculex antiquus. A. MouThparTs, in oblique anTerior view. B. Foreleg Tarsomere 5, laTeral view. C. Hind leg Tarsomere 5, laTeral view.
FIGURE 3 in The Cretaceous Fossil Burmaculex antiquus Confirmed as the Earliest Known Lineage of Mosquitoes (Diptera: Culicidae)
FIGURE 3. STrucTures of Burmaculex antiquus. A. Fore leg apex of Tarsomere 2, base of Tarsomere 3, laTeral view. B. Foreleg Tarsomere 4–5, laTeral view. C. Apex of abdomen, dorsal view.
FIGURE 2 in The Cretaceous Fossil Burmaculex antiquus Confirmed as the Earliest Known Lineage of Mosquitoes (Diptera: Culicidae)
FIGURE 2. STrucTures of Burmaculex antiquus. A. LefT wing, dorsal view. B. AnTerodisTal porTion of lefT wing, dorsal view. C. PorTion of anTerior of lefT wing wiTh, in parT, anTerior bulge of R1, dorsal view.
FIGURE 1 in The Cretaceous Fossil Burmaculex antiquus Confirmed as the Earliest Known Lineage of Mosquitoes (Diptera: Culicidae)
FIGURE 1. STrucTures of Burmaculex antiquus. A. HabiTus, mosTly in venTral view buT wiTh head benT forward, presenTing oblique anTerior view. B. RighT halTer, dorsal view. C. Head, oblique anTerior view. D. Labium apex, oblique anTerior view. E. MouThparTs, oblique anTerior view.
Assessing and Correcting Neighborhood Socioeconomic Spatial Sampling Biases in Citizen Science Mosquito Data Collection
<p>Reporting data from the Mosquito Alert citizen science system, active catch basin surveillance, and mosquito trap surveillance used in "Assessing and Correcting Neighborhood Socioeconomic Spatial Sampling Biases in Citizen Science Mosquito Data Collection."</p> <p>The file named mosquito_alert_adult_bite_reports_Barcelona_2014_2023.Rds includes all adult mosquito and mosquito bite reports received from Barcelona Municipality from the start of the Mosqiuto Alert project in 2014 through the end of 2023. The file named mosquito_alert_validated_albopictus_reports_Barcelona_2014_23.Rds includes all expert-validated <em>Ae. albopictus </em>reports received from Barcelona Municipality during the same time period. The data is stored as RDS files and contain the following fields:</p> <ul> <li><strong>year </strong>- the year in which the report was made. Class = dbl.</li> <li><strong>date </strong>- the date om which the report was made. Class = date.</li> <li><strong>type </strong>- the report type, either adult mosquito ("adult") or mosquito breeding site ("site"). Class = chr.</li> <li><strong>lon</strong> - the longitude of the report location. Class = dbl.</li> <li><strong>lat</strong> - the latitude of the report location. Class = dbl.</li> <li><strong>validation_score</strong> - Entolab validation score. Either 1 (possible <em>Ae. albopictus</em>) or 2 (probable <em>Ae. albopictus</em>). This field is present only in the validated reports data. </li> </ul> <p>The file named active_catch_basin_drain_data.Rds includes information about all catch basin drains in Barcelona Municipality in which the Barcelona Public Health Agency (ASPB) detected mosquito activity as part of its continuous monitoring and control of mosquitoes from 2019 through 2023. The data is stored in an RDS file with the following fields:</p> <ul> <li><strong>any_reports </strong>- dummy variable indicating whether any Mosquito Alert adult mosquito or mosquito bite reports were sent through Mosquito Alert from within 200 m of the catch basin drain during the year in which the ASPB detected mosquito activity in hte catch basin drain. Class = lgl.</li> <li><strong>se_expected</strong> - sampling effort for the 0.025 degree lon/lat sampling cell in which the catch basin drain lies during the year in which the ASPB detected mosquito activity in the drain. This value is taken from the SE_expected variable in the sampling_effort_daily_cellres_025.csv.gz file available at https://zenodo.org/records/12602985. Sampling effort is estimated as the expected number of participants sending at least one report from the cell during the day in question given the the number of participants recorded in the cell that day and the amount of time elapsed since each one began participating in the project. Class = dbl.</li> <li><strong>p_singlehh</strong> - proportion of single-member households in the population of the census tract in which the catch basin drain is located. Class = dbl.</li> <li><strong>mean_age </strong>- mean age of the population of the census tract in which the catch basin drain is located. Class = dbl.</li> <li><strong>mean_rent_consumption_unit</strong> - mean income per consumption unit in the census tract in which the catch basin drain is located. Class = dbl.</li> <li><strong>popd</strong> - population density of the census tract in which the catch basin drain is located. Class = dbl.</li> <li><strong>id_item </strong>- unique identifier given to the catch basin drain. Drain itentifiers appear multiple times in the data when the ASPB detected activity in the drain in multiple years. Class = dbl.</li> </ul> <p>The file named trap_data.Rds includes information on the adult mosquito trap surveillance analyzed in this article. The data is stored in an RDS file with the following fields:</p> <ul> <li><strong>females </strong>- number of Ae. albopictus females found in the trap. Class = dbl.</li> <li><strong>trap_name</strong> - unique identifier for the trap. Class = chr.</li> <li><strong>trapping_effort</strong> - number of days from when the trap was set to when it was checked. Class = dbl.</li> <li><strong>date</strong> - date on which the trap was checked. Class = date.</li> <li><strong>mean_tm30</strong> - mean temperature for the 30 days leading up to the date on which the trap was checked. Class = dbl.</li> <li><strong>mean_rent_consumption_unit </strong>- mean income per consumption unit for the census tract in which the trap was located. Class = dbl.</li> </ul>
Comparative mitochondrial genome and phylogenetic analysis of malaria mosquitoes Anopheles hyrcanus and Anopheles messeae supplementary files
<p><strong>T</strong><strong><span>able</span></strong><strong> S1.</strong> This study encompassed 105 species, along with their corresponding taxonomy and GenBank registration numbers.</p> <p><strong>Figure S1</strong> Inferred secondary structures of tRNAs in the mt genome of <em>An. </em><em><span>h</span></em><em>yrcanus</em><em> </em><span>(A)</span><em> </em><span>and </span><em>An. </em><em><span>m</span></em><em>esseae</em><em> </em><span>(B)</span>, with corresponding amino acids labeled next to the tRNAs.</p>
Supplementary material 4 from: Theissinger K, Kästel A, Elbrecht V, Makkonen J, Michiels S, Schmidt S, Allgeier S, Leese F, Brühl C (2018) Using DNA metabarcoding for assessing chironomid diversity and community change in mosquito controlled temporary wetlands. Metabarcoding and Metagenomics 2: e21060. https://doi.org/10.3897/mbmg.2.21060
OTU ID, taxonomy of identified species, BOLD Bin, sequence abundancies per site an time and OTU sequences
Supplementary material 3 from: Theissinger K, Kästel A, Elbrecht V, Makkonen J, Michiels S, Schmidt S, Allgeier S, Leese F, Brühl C (2018) Using DNA metabarcoding for assessing chironomid diversity and community change in mosquito controlled temporary wetlands. Metabarcoding and Metagenomics 2: e21060. https://doi.org/10.3897/mbmg.2.21060
We pooled the library according to the number of specimens per sample and could show that our read abundance highly correlates with specimen abundance. Thus, we could use the read abundancies as surrogates for relative species abundancies.
FIGURE 4 in New records of mosquitoes (Diptera: Culicidae) found in phytotelmata in Northern Argentina
FIGURE 4. Specimens collected during the study. (A, B) Culex davisi: thorax of larva showing prothoracic seta 1‒7-P, (B) terminal abdominal segments of the larva; (C,D) Cx. castroi: larva head, (D) thorax and detail of pecten spine; (E,F) Cx. renatoi: female with white scales on midlobe of scutellum; (G,H) Sa. undosus: larva (G) showing two hooks on VII (seta 1- VII), and male genitalia (H). Gc, gonocoxite; Gs, gonostylus; P, proboscis; PS, pecten spine; S, siphon; Stm, scutellum; Ta, tarsomeres; 1-C, head seta 1; 8-P and 14-P, prothoracic setae; VII, VIII, X, abdominal segments VII, VIII and X, respectively; IX-Te, tergum IX; 1a‒e, siphonal setae; 1‒4, setae 1‒4-X. Photos by Janinna Faraone (G and H), Carla N. AlVaREz (A‒F) and Raúl E. Campos (E and F).
FIGURE 5 in New records of mosquitoes (Diptera: Culicidae) found in phytotelmata in Northern Argentina
FIGURE 5. Specimens collected during the study. (A) Tx. bambusicola: female; (B) Tx. theobaldi: female; (C) Wy. codiocampa: terminal abdominal segments of the larva; (D,E) Wy. serratoria: female. S, sternum; Ta, tarsomeres; Ta-II, tarsomeres of midleg; Te, tergum; 4-X, seta 4-X (ventral brush) of abdominal segment X. Photos by Carla N. Alvarez (A‒C) and Raúl E. Campos (D and E).
FIGURE 2 in New records of mosquitoes (Diptera: Culicidae) found in phytotelmata in Northern Argentina
FIGURE 2. Specimens collected during the study. (A,B) Cx. secundus: larva (A) and detail of siphon (B); (C,D) Lu. allostigma: larva (C) and detail of siphon (D); (E, F, G,H) Wy. aphobema: detail of siphon (E) and male genitalia (F‒H). CS, comb scale; Gc, gonocoxite; GC, gonostylar claw; Gs, gonostylus; LPB, lateral palatal brushes; MP, median portion of gonocoxite; PS, pecten spine; Ppr, paraproct; S, siphon; 1-C, head seta 1; 1-S, siphonal setae; 8-P, prothoracic setae; VIII, X, abdominal segments VIII and X, respectively;IX-Te, tergum IX.Photos by Janinna Faraone (A, B and H), Carla N.Alvarez (C and D) andDébora N.Bangher (E‒G).
FIGURE 3 in New records of mosquitoes (Diptera: Culicidae) found in phytotelmata in Northern Argentina
FIGURE 3. Specimens collected during the study. Sabethes glaucodaemon: (A,B) female showing tarsomeres and upper mesanepimeral setae; (C,D) male genitalia. Gc, gonocoxite; Gs, gonostylus; MeSU, upper mesepimeral seta; Ppr, paraproct; Ta-II, midtarsi; IX-Te, tergum IX. Photos by Janinna Faraone.
FIGURE 2 in New records of mosquitoes (Diptera: Culicidae) found in phytotelmata in Northern Argentina
FIGURE 2. Specimens collected during the study. (A,B) Cx. secundus: larva (A) and detail of siphon (B); (C,D) Lu. allostigma: larva (C) and detail of siphon (D); (E, F, G,H) Wy. aphobema: detail of siphon (E) and male genitalia (F‒H). CS, comb scale; Gc, gonocoxite; GC, gonostylar claw; Gs, gonostylus; LPB, lateral palatal brushes; MP, median portion of gonocoxite; PS, pecten spine; Ppr, paraproct; S, siphon; 1-C, head seta 1; 1-S, siphonal setae; 8-P, prothoracic setae; VIII, X, abdominal segments VIII and X, respectively; IX-Te, tergum IX. Photos by Janinna Faraone (A, B and H), Carla N. Alvarez (C and D) and Débora N. Bangher (E‒G).
FIGURE 1 in New records of mosquitoes (Diptera: Culicidae) found in phytotelmata in Northern Argentina
FIGURE 1. Sampling sites in four provinces of Argentina. Numbered red dots indicate the locations of the following sites. (A) 1 and 2, Colonia Benítez and Chaco National Park, respectively, Chaco Province (CH); 3, San Cayetano, Corrientes Province (CO); 4, Herradura, Formosa Province (FOR). (B) 5, Eldorado, Misiones Province (MIS).
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.