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Fig. 1 in Mosquitos (Diptera, Culicidae) de la Laguna de Tortajada (Teruel) (NE de la Península Ibérica).
Fig. 1.- Mapa con la ubicación geográfica de la Laguna de Tortajada (Teruel).
Fig. 5 in Anopheles (Anopheles) petragnani Del Vecchio 1939-a new mosquito species for Germany
Fig. 5 Rock pool in the granite river bed of the Murg
Mosquito data at SAFE 2012-2014
<b>Description: </b><p>PhD results</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/77"><b>Impacts of tropical deforestation and fragmentation on mosquito community</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=46">here</a></p><p><b>Data worksheets: </b>There are 5 data worksheets in this dataset:</p><ol><li><p><b>Daily Human landing catches 2012-2013</b> (Worksheet DailyHLC2012-2013)</p><p>Dimensions: 94 rows by 37 columns</p><p>Description: Human landing catch data collected at the SAFE Project 2012-2013. Worksheet contains species collected per evening (18:00-23:00)</p><p>Fields: </p><ul><li><b>Date</b>: Date of the collection (Field type: Date)</li><li><b>Location</b>: SAFE Project location (2nd order) (Field type: Location)</li><li><b>Disturbance</b>: Disturbance gradient (Field type: Ordered Categorical)</li><li><b>Collector</b>: Initial of second collector during human landing catch- first collector was always the same (Field type: Categorical)</li><li><b>Moonlight</b>: Moon illumination (percentage) during the collection (does not take cloud cover into account) (Field type: Numeric)</li><li><b>Forest_cover</b>: Forest cover recorded at each site (LAI info) (Field type: Numeric)</li><li><b>An_ait_count</b>: Number of Anopheles aitkenii mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>An_bar_count</b>: Number of Anopheles barbirostris mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>An_van_count</b>: Number of Anopheles vanus mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>An_sp_count</b>: Number of Anopheles sp. (couldn't be identified to species) mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>An_bal_count</b>: Number of Anopheles balabacensis mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>An_koc_count</b>: Number of Anopheles kochi mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>An_lat_count</b>: Number of Anopheles latens mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>An_maca_count</b>: Number of Anopheles macarthuri mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>An_macu_count</b>: Number of Anopheles maculatus mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>An_tes_count</b>: Number of Anopheles tessellatus mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>An_wat_count</b>: Number of Anopheles watsonii mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Arm_ju_count</b>: Number of Armigeres jugraensis mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Arm_fl_count</b>: Number of Armigeres flavus mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Coq_cr_count</b>: Number of Coquillettidia crassipes mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Cx_Cul1_count</b>: Number of Culex (Culiciomyia) mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Cx_pap_count</b>: Number of Culex papuensis mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Cx_sca_count</b>: Number of Culex scanloni mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Cx_gel_count</b>: Number of Culex gelidus mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Cx_mim_count</b>: Number of Culex mimulus mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Cx_qui_count</b>: Number of Culex quinquefasciatus mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Cx_sit_count</b>: Number of Culex sitiens mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Cx_vis_count</b>: Number of Culex vishnui mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Cx_Lop_count</b>: Number of Culex (Lophoceraomyia- couldn't be identified to species) mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Cx_bit_count</b>: Number of Culex bitaeniorhynchus mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Do_gan_count</b>: Number of Downsiomyia ganapathi mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>He_sci_count</b>: Number of Heizmannia scintillans mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Ma_ann_count</b>: Number of Mansonia annulata mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Or_sp_count</b>: Number of Orthopodomyia sp. (couldn't be identified to species) mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Pr_ost_count</b>: Number of Paraedes ostentatio mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li><li><b>Stg_al_count</b>: Number of Aedes albopictus mosquitoes landing on the collectors during the 5 hour period (Field type: Abundance)</li></ul><br></li><li><p><b>Hourly Human landing catches 2012-2013</b> (Worksheet HourlyHLC2012-2013)</p><p>Dimensions: 430 rows by 39 columns</p><p>Description: Human landing catch data collected at the SAFE Project 2012-2013. Worksheet contains species collected per hour (18:00-23:00)</p><p>Fields: </p><ul><li><b>Date</b>: Date of the collection (Field type: Date)</li><li><b>Start_Time</b>: Start time of collection (Field type: Time)</li><li><b>Location</b>: SAFE Project location (2nd order) (Field type: Location)</li><li><b>Disturbance</b>: Disturbance gradient (Field type: Ordered Categorical)</li><li><b>Collector</b>: Initial of second collector during human landing catch- first collector was always the same (Field type: Categorical)</li><li><b>Rain</b>: Level of rain recorded during collection (Field type: Ordered Categorical)</li><li><b>Moonlight</b>: Moon illumination (percentage) during the collection (does not take cloud cover into account) (Field type: Numeric)</li><li><b>Forest_cover</b>: Forest cover recorded at each site (LAI info) (Field type: Numeric)</li><li><b>An_ait_count</b>: Number of Anopheles aitkenii mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>An_bar_count</b>: Number of Anopheles barbirostris mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>An_van_count</b>: Number of Anopheles vanus mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>An_sp_count</b>: Number of Anopheles sp. (couldn't be identified to species) mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>An_bal_count</b>: Number of Anopheles balabacensis mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>An_koc_count</b>: Number of Anopheles kochi mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>An_lat_count</b>: Number of Anopheles latens mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>An_maca_count</b>: Number of Anopheles macarthuri mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>An_macu_count</b>: Number of Anopheles maculatus mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>An_tes_count</b>: Number of Anopheles tessellatus mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>An_wat_count</b>: Number of Anopheles watsonii mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Arm_ju_count</b>: Number of Armigeres jugraensis mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Arm_fl_count</b>: Number of Armigeres flavus mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Coq_cr_count</b>: Number of Coquillettidia crassipes mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Cx_Cul1_count</b>: Number of Culex (Culiciomyia) mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Cx_pap_count</b>: Number of Culex papuensis mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Cx_sca_count</b>: Number of Culex scanloni mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Cx_gel_count</b>: Number of Culex gelidus mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Cx_mim_count</b>: Number of Culex mimulus mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Cx_qui_count</b>: Number of Culex quinquefasciatus mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Cx_sit_count</b>: Number of Culex sitiens mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Cx_vis_count</b>: Number of Culex vishnui mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Cx_Lop_count</b>: Number of Culex (Lophoceraomyia- couldn't be identified to species) mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Cx_bit_count</b>: Number of Culex bitaeniorhynchus mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Do_gan_count</b>: Number of Downsiomyia ganapathi mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>He_sci_count</b>: Number of Heizmannia scintillans mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Ma_ann_count</b>: Number of Mansonia annulata mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Or_sp_count</b>: Number of Orthopodomyia sp. (couldn't be identified to species) mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Pr_ost_count</b>: Number of Paraedes ostentatio mosquitoes landing on the collectors (Field type: Abundance)</li><li><b>Stg_al_count</b>: Number of Aedes albopictus mosquitoes landing on the collectors (Field type: Abundance)</li></ul><br></li><li><p><b>Ovitrap data 2012-2013</b> (Worksheet Ovitrap2012-2013)</p><p>Dimensions: 90 rows by 23 columns</p><p>Description: Ovitrap data collected 2012 to 2013. Worksheet contains species collected per ovitrap</p><p>Fields: </p><ul><li><b>Location</b>: SAFE Project location (2nd order) (Field type: Location)</li><li><b>Disturbance</b>: Disturbance gradient (Field type: Ordered Categorical)</li><li><b>Mosquitoes_present</b>: Yes= mosquitoes were present in the ovitrap when collected (Field type: Categorical)</li><li><b>Start_Date</b>: Date Ovitrap was set out (Field type: Date)</li><li><b>End_Date</b>: Date Ovitrap was collected (Field type: Date)</li><li><b>Avg_Temp</b>: Average temperature in location whilst ovitrap was set out (Field type: Numeric)</li><li><b>Avg_RH</b>: Average RH in location whilst ovitrap was set out (Field type: Numeric)</li><li><b>Beetles_present</b>: Yes= Beetles were present in the ovitrap when collected (Field type: Categorical)</li><li><b>Tadpoles_present</b>: Yes= Tadpoles were present in the ovitrap when collected (Field type: Categorical)</li><li><b>Cx_Cul1_count</b>: Number of Cx.Cul1 identified from the ovitrap (Field type: Abundance)</li><li><b>Cx_Cul2_count</b>: Number of Cx.Cul2 identified from the ovitrap (Field type: Abundance)</li><li><b>Stg_al_count</b>: Number of Stg.al identified from the ovitrap (Field type: Abundance)</li><li><b>Arm_ju_count</b>: Number of Arm.ju identified from the ovitrap (Field type: Abundance)</li><li><b>Ze_gra_count</b>: Number of Ze.gra identified from the ovitrap (Field type: Abundance)</li><li><b>Tri_sp_count</b>: Number of Tri.sp identified from the ovitrap (Field type: Abundance)</li><li><b>Ur_sp1_count</b>: Number of Ur.sp1 identified from the ovitrap (Field type: Abundance)</li><li><b>An_bal_count</b>: Number of An.bal identified from the ovitrap (Field type: Abundance)</li><li><b>Arm_co_count</b>: Number of Arm.co identified from the ovitrap (Field type: Abundance)</li><li><b>Cx_nig_count</b>: Number of Cx.nig identified from the ovitrap (Field type: Abundance)</li><li><b>Ur_sp2_count</b>: Number of Ur.sp2 identified from the ovitrap (Field type: Abundance)</li><li><b>Cx_qui_count</b>: Number of Cx.qui identified from the ovitrap (Field type: Abundance)</li><li><b>Col_pse_count</b>: Number of Col.pse identified from the ovitrap (Field type: Abundance)</li></ul><br></li><li><p><b>Daily Human landing catches (canopy vs. ground) 2013-2014</b> (Worksheet DailyHLC2013-2014)</p><p>Dimensions: 90 rows by 36 columns</p><p>Description: Human landing catch data collected at the SAFE Project 2013-2014. Worksheet contains species collected per evening (18:00-22:00)</p><p>Fields: </p><ul><li><b>Date</b>: Date of the collection (Field type: Date)</li><li><b>Location</b>: SAFE Project location (2nd order) (Field type: Location)</li><li><b>Disturbance</b>: Disturbance gradient (Field type: Ordered Categorical)</li><li><b>Collector</b>: Initial of second collector during human landing catch- first collector was always the same (Field type: Categorical)</li><li><b>Moonlight</b>: Moon illumination (percentage) during the collection (does not take cloud cover into account) (Field type: Numeric)</li><li><b>Forest_cover</b>: Forest cover recorded at each site (LAI info) (Field type: Numeric)</li><li><b>Height</b>: Ground= ground level collection. Canopy= collection at 10m (Field type: Categorical)</li><li><b>Tree_Height</b>: Height of tree used for collection (Field type: Numeric)</li><li><b>Wind</b>: Strength of wind during collection period (Field type: Ordered Categorical)</li><li><b>Rain</b>: Level of rain recorded during collection (Field type: Ordered Categorical)</li><li><b>Temperature</b>: Average temperature in location during collection (Field type: Numeric)</li><li><b>Humidity</b>: Average RH in location during collection (Field type: Numeric)</li><li><b>Ae_orb_count</b>: Number of Am. orb mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>An_ait_count</b>: Number of An. ait mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>An_bar_count</b>: Number of An. bar mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>An_sp_count</b>: Number of An. sp mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>An_bal_count</b>: Number of An. bal mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>An_lat_count</b>: Number of An. lat mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>An_maca_count</b>: Number of An. maca mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>An_macu_count</b>: Number of An. macu mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>An_wat_count</b>: Number of An. wat mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Arm_co_count</b>: Number of Arm. co mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Arm_ju_count</b>: Number of Arm. ju mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Arm_sp_count</b>: Number of Arm. sp mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Col_pse_count</b>: Number of Col. pse mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Coq_cr_count</b>: Number of Coq. cr mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Cx_sit_count</b>: Number of Cx. sit mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Cx_vis_count</b>: Number of Cx. vis mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Cx_Lop_count</b>: Number of Cx. Lop mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Do_gan_count</b>: Number of Do. gan mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Pr_ost_count</b>: Number of Pr. ost mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Ph_pro_count</b>: Number of Ph. pho mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Stg_al_count</b>: Number of Stg. al mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Stg_sp_count</b>: Number of Stg. sp mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li><li><b>Ve_sp_count</b>: Number of Ve. sp mosquitoes landing on the collectors during the 4 hour period (Field type: Abundance)</li></ul><br></li><li><p><b>Hourly Human landing catches (canopy vs. ground) 2013-2014</b> (Worksheet HourlyHLC2013-2014)</p><p>Dimensions: 626 rows by 15 columns</p><p>Description: Human landing catch data collected at the SAFE Project 2013-2014. Worksheet contains species collected per hour (18:00-22:00)</p><p>Fields: </p><ul><li><b>Date</b>: Date of the collection (Field type: Date)</li><li><b>Start_Time</b>: Start time of collection (Field type: Time)</li><li><b>Location</b>: SAFE Project location (2nd order) (Field type: Location)</li><li><b>Disturbance</b>: Disturbance gradient (Field type: Ordered Categorical)</li><li><b>Collector</b>: Initial of second collector during human landing catch- first collector was always the same (Field type: Categorical)</li><li><b>Level</b>: Ground= ground level collection. Canopy= collection at 10m (Field type: Categorical)</li><li><b>Forest_cover</b>: Forest cover recorded at each site (LAI info) (Field type: Numeric)</li><li><b>Height</b>: Height above ground (Field type: Numeric)</li><li><b>Moonlight</b>: Moon illumination (percentage) during the collection (does not take cloud cover into account) (Field type: Numeric)</li><li><b>Wind</b>: Strength of wind during collection period (Field type: Ordered Categorical)</li><li><b>Rain</b>: Level of rain recorded during collection (Field type: Ordered Categorical)</li><li><b>Temperature</b>: Average temperature in location during collection (Field type: Numeric)</li><li><b>Humidity</b>: Average RH in location during collection (Field type: Numeric)</li><li><b>An_bal_count</b>: Number of An. bal mosquitoes landing on the collector (Field type: Abundance)</li></ul><br></li></ol><p><b>Date range: </b>2012-01-04 to 2014-07-07</p><p><b>Latitudinal extent: </b>4.6353 to 4.9654</p><p><b>Longitudinal extent: </b>116.9542 to 117.8004</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Insecta<br> -  -  - Diptera<br> -  -  -  - Culicidae<br> -  -  -  -  - <i>Aedes</i><br> -  -  -  -  -  - <i>Aedes albopictus</i><br> -  -  -  -  -  - <i>Aedes jugraensis</i> (as <i>Armigeres jugraensis</i>)<br> -  -  -  -  -  - <i>Aedes orbitae</i><br> -  -  -  -  -  - <i>Aedes papuensis</i> (as <i>Culex papuensis</i>)<br> -  -  -  -  -  - <i>Aedes prominens</i><br> -  -  -  -  -  - [Stg.sp]<br> -  -  -  -  - <i>Anopheles</i><br> -  -  -  -  -  - [An.sp]<br> -  -  -  -  -  - <i>Anopheles aitkenii</i><br> -  -  -  -  -  - <i>Anopheles balabacensis</i><br> -  -  -  -  -  - <i>Anopheles barbirostris</i><br> -  -  -  -  -  - <i>Anopheles kochi</i><br> -  -  -  -  -  - <i>Anopheles latens</i><br> -  -  -  -  -  - <i>Anopheles macarthuri</i><br> -  -  -  -  -  - <i>Anopheles maculatus</i><br> -  -  -  -  -  - <i>Anopheles tessellatus</i><br> -  -  -  -  -  - <i>Anopheles vanus</i><br> -  -  -  -  -  - <i>Anopheles watsonii</i><br> -  -  -  -  - <i>Armigeres</i><br> -  -  -  -  -  - [Arm.sp]<br> -  -  -  -  -  - <i>Armigeres confusus</i><br> -  -  -  -  -  - <i>Armigeres flavus</i><br> -  -  -  -  - <i>Collessius</i><br> -  -  -  -  -  - [<i>Collessius pseudotaeniatus</i>]<br> -  -  -  -  - <i>Coquillettidia</i><br> -  -  -  -  -  - <i>Coquillettidia crassipes</i><br> -  -  -  -  - <i>Culex</i><br> -  -  -  -  -  - <i>Culex bitaeniorhynchus</i><br> -  -  -  -  -  - <i>Culex gelidus</i><br> -  -  -  -  -  - <i>Culex mimulus</i><br> -  -  -  -  -  - <i>Culex nigropunctatus</i><br> -  -  -  -  -  - <i>Culex quinquefasciatus</i><br> -  -  -  -  -  - <i>Culex scanloni</i><br> -  -  -  -  -  - <i>Culex sitiens</i><br> -  -  -  -  -  - <i>Culex vishnui</i><br> -  -  -  -  -  - [Cx.Cul1]<br> -  -  -  -  -  - [Cx.Cul2]<br> -  -  -  -  -  - [Cx.Lop]<br> -  -  -  -  - <i>Downsiomyia</i><br> -  -  -  -  -  - [<i>Downsiomyia ganapathi</i>]<br> -  -  -  -  - <i>Heizmannia</i><br> -  -  -  -  -  - <i>Heizmannia scintillans</i><br> -  -  -  -  - <i>Mansonia</i><br> -  -  -  -  -  - <i>Mansonia annulata</i><br> -  -  -  -  - <i>Orthopodomyia</i><br> -  -  -  -  -  - [Or.sp]<br> -  -  -  -  - <i>Uranotaenia</i><br> -  -  -  -  -  - [Ur.sp1]<br> -  -  -  -  -  - [Ur.sp2]<br> -  -  -  -  - <i>Verrallina</i><br> -  -  -  -  -  - [Ve.sp]<br> -  -  -  -  - <i>Zeugnomyia</i><br> -  -  -  -  -  - <i>Zeugnomyia gracilis</i><br> -  -  -  -  - <i>Paraedes</i><br> -  -  -  -  -  - [<i>Paraedes ostentatio</i>]<br> -  -  - Hymenoptera<br> -  -  -  - Braconidae<br> -  -  -  -  - <i>Tripteroides</i><br> -  -  -  -  -  - [Tri.sp]<br></div><p></p>
Investigating Temperature Tolerance in Mosquito Disease Vectors Across a Land-Use Gradient
<b>Description: </b><p>Mosquito larval survey and thermotolerance data</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/172"><b>Investigating Temperature Tolerance in Mosquito Disease Vectors Across a Land-Use Gradient</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=82">here</a></p><p><b>Data worksheets: </b>There are 4 data worksheets in this dataset:</p><ol><li><p><b>Field microclimate data</b> (Worksheet Microclimate)</p><p>Dimensions: 6917 rows by 11 columns</p><p>Description: Data was recorded using EasyLog USB dataloggers. They were put out either hung on a tree, or suspended off the ground (in the absense of trees) and covered to avoid direct sunlight.</p><p>Fields: </p><ul><li><b>Block</b>: SAFE Project sampling block (Field type: Location)</li><li><b>Plot</b>: Sample site (Field type: Location)</li><li><b>Site</b>: SAFE Project sampling block (Field type: ID)</li><li><b>Point</b>: SAFE Project sample location (Field type: ID)</li><li><b>DATE</b>: Date of the measurement (Field type: Date)</li><li><b>TIME</b>: Time of the measurement (Field type: Time)</li><li><b>Temp</b>: Air temperature (Field type: Numeric)</li><li><b>RelHumid</b>: Relative humidity (Field type: Numeric)</li><li><b>DewPoint</b>: The temperature at which the air would condense and dew would form (Field type: Numeric)</li><li><b>SerialNumber</b>: Serial number of the microclimate datalogger used to collect the data (Field type: ID)</li></ul><br></li><li><p><b>Thermal tolerance</b> (Worksheet CTmax)</p><p>Dimensions: 317 rows by 6 columns</p><p>Description: Thermal tolerance experiments on mosquito larvae</p><p>Fields: </p><ul><li><b>Date</b>: The Date the CT max value was taken (Field type: Date)</li><li><b>VialNumber</b>: the vial that the individual came from, and how it is referred to in my field notebook (Field type: ID)</li><li><b>LandType</b>: Habitat type from which the individual was collected (Field type: Categorical)</li><li><b>CriticalMax</b>: The temperature in celcius that the individual became unresponsive to stimulus (Field type: Numeric)</li><li><b>GivenSpecies</b>: Identity of the individual being tested (Field type: Taxa)</li></ul><br></li><li><p><b>Site x species data</b> (Worksheet SpeciesData)</p><p>Dimensions: 192 rows by 9 columns</p><p>Description: Field observations of field mosquito communities</p><p>Fields: </p><ul><li><b>Block</b>: SAFE Project sampling block (Field type: Location)</li><li><b>Plot</b>: Sample site (Field type: Location)</li><li><b>Site</b>: SAFE Project sampling block (Field type: ID)</li><li><b>Point</b>: SAFE Project sample site (Field type: ID)</li><li><b>Replicate</b>: is the replicate of sampling each data collection took place. There were three weeks of sampling so the only values are 1, 2, or 3. (Field type: Replicate)</li><li><b>CollectionType</b>: Method of collection (Field type: Categorical)</li><li><b>Count</b>: Total number of individuals sampled (Field type: Abundance)</li><li><b>GivenSpecies</b>: Identity of the individual(s) (Field type: Taxa)</li></ul><br></li><li><p><b>Forest canopy measurements</b> (Worksheet Densiometer)</p><p>Dimensions: 36 rows by 12 columns</p><p>Description: Densiometer estimates of tree canopy cover</p><p>Fields: </p><ul><li><b>Block</b>: SAFE Project sampling block (Field type: Location)</li><li><b>Plot</b>: Sample site (Field type: Location)</li><li><b>Site</b>: SAFE Project sampling block (Field type: ID)</li><li><b>Point</b>: SAFE Project sample site (Field type: ID)</li><li><b>Val1</b>: Number of quartersquares that lack canopy cover in one of the four cardinal directions. The maximum value is 96 if there is no canopy cover. (Field type: Numeric)</li><li><b>Val2</b>: Number of quartersquares that lack canopy cover in one of the four cardinal directions. The maximum value is 96 if there is no canopy cover. (Field type: Numeric)</li><li><b>Val3</b>: Number of quartersquares that lack canopy cover in one of the four cardinal directions. The maximum value is 96 if there is no canopy cover. (Field type: Numeric)</li><li><b>Val4</b>: Number of quartersquares that lack canopy cover in one of the four cardinal directions. The maximum value is 96 if there is no canopy cover. (Field type: Numeric)</li><li><b>AveVal</b>: Average densiometer reading (max = 96) (Field type: Numeric)</li><li><b>AdjustedVal</b>: Average canopy openness (Field type: Numeric)</li><li><b>CanopyCover</b>: Average canopy cover (Field type: Numeric)</li></ul><br></li></ol><p><b>Date range: </b>2017-03-20 to 2017-09-04</p><p><b>Latitudinal extent: </b>4.6314 to 4.7436</p><p><b>Longitudinal extent: </b>117.4556 to 117.6249</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Insecta<br> -  -  - Diptera<br> -  -  -  - Culicidae<br> -  -  -  -  - <i>Aedes</i><br> -  -  -  -  -  - <i>Aedes albopictus</i><br> -  -  -  -  - <i>Anopheles</i><br> -  -  -  -  -  - [Anoph]<br> -  -  -  -  - <i>Armigeres</i><br> -  -  -  -  -  - [Armigeres]<br> -  -  -  -  - <i>Culex</i><br> -  -  -  -  -  - [Culex1]<br> -  -  -  -  -  - [Culex2]<br> -  -  -  -  -  - [Culex3]<br> -  -  -  -  -  - [CulexOP]<br> -  -  -  -  - [Species7]<br> -  -  -  -  - [Species8]<br> -  -  -  -  - [Species9]<br> -  -  -  -  - <i>Uranotaenia</i><br> -  -  -  -  -  - [Urano1]<br> -  -  -  -  -  - [Urano2]<br> -  -  -  -  - <i>Zeugnomyia</i><br> -  -  -  -  -  - <i>Zeugnomyia gracilis</i><br></div><p></p>
Microclimate and the development rate of mosquito vectors
<b>Description: </b><p>This data sets includes microclimate data, mosquito development rate and mosquito wing size measurements collected from primary forest, logged forest and oil palm plantations. Microclimate data was recorded using Ibutton data loggers which measured soil temeprature at given sample sites. All mosquito eggs collected were reared under field conditions. Each mosquito sample was monitored daily in order to record the proportion emerging at each developemnt stage (larva, pupa and adult) along with the numebr of transition days between each development stage. Adult wing length (of each adult mosquito collected) was used as a simple proxy to measure adult vectorial capacity. </p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/21"><b>The impact of altered forest microclimate on the development rate of mosquito vectors</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=110">here</a></p><p><b>Files: </b>This consists of 1 file: template_PsomosMosquitoes.xlsx</p><p><b>template_PsomosMosquitoes.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>Soil temperature</b> (described in worksheet Soiltemp)</p><p>Description: Datalogger records of soil temperature time series as sample sites</p><p>Number of fields: 4</p><p>Number of data rows: 875</p><p>Fields: </p><ul><li><b>Site</b>: SAFE Project sample site (Field type: Location)</li><li><b>Day</b>: Day of measurement; each site had records collected over seven days (Field type: Numeric)</li><li><b>Time</b>: Time of measurement (Field type: Time)</li><li><b>Soil Temperature</b>: Soil temperature (Field type: Numeric)</li></ul></li><li><p><b>Mosquito size</b> (described in worksheet Mosquito_wing_length)</p><p>Description: Wing measurements on individual mosquitoes</p><p>Number of fields: 3</p><p>Number of data rows: 119</p><p>Fields: </p><ul><li><b>Site</b>: SAFE Project sample site (Field type: Location)</li><li><b>SampleNumber</b>: Each replicate within a site represents a different mosquito that was measured (Field type: Replicate)</li><li><b>WingSize</b>: Adult mosquito wing length (Field type: Numeric Trait)</li></ul></li><li><p><b>Mosquito life history stages</b> (described in worksheet Development_data)</p><p>Description: Abundance and time frame for mosquito development</p><p>Number of fields: 8</p><p>Number of data rows: 26</p><p>Fields: </p><ul><li><b>Site</b>: SAFE Project sample site (Field type: Location)</li><li><b>Eggs</b>: Number eggs (Field type: Abundance)</li><li><b>Larvae</b>: Number larvae (Field type: Abundance)</li><li><b>Pupae</b>: Number pupae (Field type: Abundance)</li><li><b>Adults</b>: Number adults (Field type: Abundance)</li><li><b>egg-larvae</b>: Number of days to develop from egg to larvae (Field type: Numeric Trait)</li><li><b>larvae-pupae</b>: Number of days to develop from larvae to pupae (Field type: Numeric Trait)</li><li><b>pupae-adult</b>: Number of days to develop from pupae to adult (Field type: Numeric Trait)</li></ul></li></ol><p><b>Date range: </b>2015-05-01 to 2015-07-13</p><p><b>Latitudinal extent: </b>4.6532 to 4.7520</p><p><b>Longitudinal extent: </b>116.9635 to 117.5932</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Insecta<br> -  -  - Diptera<br> -  -  -  - Culicidae<br></div><p></p>
Control y seguimiento de la transmisión del dengue a través del mosquito tigre
<p>Analisis sobre la expansion y el desarrollo del Dengue y el mosquito tigre en América, centrado en los casos de Brasil y EEUU, mostrando los casos de dengue grave y muerte.</p>
The effects of progressive land use changes on the distribution, abundance and behavior of vector mosquitoes in Sabah, Malaysia
<b>Description: </b><p>The objectives of this study were:1) To investigate the effects of progressive land use change from pre-development forest, through forest clearing and cultivation to plantation maintenance on occurrence of vector mosquitoes.<br>2) To determine the status of Anopheles donaldi as a vector of malaria in changing land uses.<br>3) To study the seasonality, abundance and behaviour of vector mosquitoes in study areas.<br><br>Methods<br>Study sites:<br>Study areas were located at The SAFE Project field site:<br>1. areas between Maliau Basin Conservation Area (old growth site),<br>2. logged forest sites in the Benta Wawasan area (area undergoing clearing),<br>3. oil palm plantation sites in Benta Wawasan's Silangan Batu Estate (oil palm site)<br><br>Mosquito collection<br>Mosquito samplings (adults and immature stages) were taken at all 3 study areas every alternate month from January 2017 until December 2018. Every sampling month, 2 collectors (n=2) spent 1 night at each study area where all-night human landing collection were carried out at 3 different sampling points for each collector. Collectors performed outdoor landing catches from 18:00 to 06:00. They collected mosquitoes that landed on naked legs with aspirators. Collectors were given prophylaxis prior to the sampling activities. Collected mosquitoes were then placed at hourly intervals inside glass vials. Mosquitoes were morphologically identified using available dichotomous keys the following morning. In every sampling period, meteorological data such as air temperature, relative humidity, atmospheric pressure and wind speed was recorded on hourly basis using a handheld weather station.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/180"><b>The effects of progressive land use changes on the distribution, abundance and behavior of vector mosquitoes in Sabah, Malaysia</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Universiti Malaysia Sabah (Studentship)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (SaBC) (Research licence Local)</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3475408">here</a></p><p><b>Files: </b>This consists of 1 file: Evyen_Mosquito_data.xlsx</p><p><b>Evyen_Mosquito_data.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Mosquito_count</b> (described in worksheet Mosquito_count)</p><p>Description: The taxonomic identification of mosquitos caught</p><p>Number of fields: 6</p><p>Number of data rows: 40</p><p>Fields: </p><ul><li><b>Month</b>: month the mosquitos (Field type: categorical)</li><li><b>Species</b>: species ID of mosquitos caught (Field type: taxa)</li><li><b>MB</b>: Number of species caught in the Maliau Basin (Field type: numeric)</li><li><b>LFE</b>: Number of species caught in the LFE safe plot (Field type: numeric)</li><li><b>B_862</b>: Number of species caught in the B fragment SAFE (Field type: numeric)</li><li><b>Total</b>: Total caught per month (Field type: numeric)</li></ul></li><li><p><b>Mosquito_weather</b> (described in worksheet Mosquito_weather)</p><p>Description: The weather conditions of the mosquito samplings days</p><p>Number of fields: 9</p><p>Number of data rows: 203</p><p>Fields: </p><ul><li><b>Date</b>: Date of sampling (Field type: date)</li><li><b>Time</b>: Time of sampling (Field type: time)</li><li><b>Location</b>: Location of sampling (Field type: location)</li><li><b>Temperature</b>: Air tempreture (Field type: numeric)</li><li><b>Humidity</b>: Air humidity (Field type: numeric)</li><li><b>Wind Speed</b>: Wind (Field type: numeric)</li><li><b>Pressure</b>: Atomspheric pressure (Field type: numeric)</li><li><b>No.mosquito collected</b>: Number of mosquitos caught (Field type: numeric)</li><li><b>Notes</b>: Species (Field type: comments)</li></ul></li></ol><p><b>Date range: </b>2017-07-16 to 2018-08-21</p><p><b>Latitudinal extent: </b>4.4300 to 5.0700</p><p><b>Longitudinal extent: </b>116.5800 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Arthropoda <br> -  -  -  Insecta <br> -  -  -  -  Diptera <br> -  -  -  -  -  Culicidae <br> -  -  -  -  -  -  <i>Heizmannia</i> <br> -  -  -  -  -  -  <i>Anopheles</i> <br> -  -  -  -  -  -  -  <i>Anopheles balabacensis</i> <br> -  -  -  -  -  -  -  <i>Anopheles latens</i> <br> -  -  -  -  -  -  <i>Culex</i> <br> -  -  -  -  -  -  -  <i>Culex sitiens</i> <br> -  -  -  -  -  -  -  <i>Culex vishnui</i> <br> -  -  -  -  -  -  <i>Aedes</i> <br> -  -  -  -  -  -  -  <i>Aedes albopictus</i> <br> -  -  -  -  -  -  -  <i>Aedes ganapathi</i> <br></div><p></p>
Figure 3 in New records and faunistic data of mosquitoes (Diptera, Culicidae) from Albania, Hungary, Macedonia, Montenegro, and Serbia
Figure 3. Aedes (Ochlerotatus) cantans (Meigen, 1818) female: a) abdomen pattern, b) lateral view.
Fig. 2 in Mosquito identification and haemosporidian parasites detection in the enclosure of the African penguins (Spheniscus demersus) at the SANBI zoological garden
Fig. 2. The single UV-light trap used to collect mosquito samples.
Genome-wide association analysis identifies naturally segregating genetic variation associated with the rapid evolution of diapause in Aedes albopictus, an invasive vector mosquito.
<p>The raw data for genotype calls, the output files from the genotype calls, the code to replicate the analysis, and the output of the analysis.</p>
Larval site characteristics of mosquito Aedes aegypti in La Lope, Gabon
<p>This dataset is described and analyzed in the paper: "Xia, S., Dweck, H. K. M., Lutomiah, J., Sang, R., McBride, C. S., Rose, N. H., Ayala, D., & Powell, J. R. (2021). Larval sites of the mosquito <em>Aedes aegypti formosus</em> in forest and domestic habitats in Africa and the potential association with oviposition evolution. Ecology and Evolution, 00, 1– 17. https://doi.org/10.1002/ece3.8332"</p> <p>The mosquito <em>Ae. aegypti</em> is a major vector of several arboviral diseases. In Africa, <em>Ae. aegypti</em> can be found in both ancestral forest habitats and human-made domestic habitats, such as villages. They also use different types of containers as larval sites: while the forest <em>Ae. aegypti </em>use tree holes and rock pools, the domestic population rely mostly on artificial contains such as plastic buckets. As an initial attempt to better understand <em>Ae. aegypti</em> larval ecology and evolution in different habitat, we characterized the microenvironment of their larval sites in both habitats and compare between them. We focuses on two localities in Africa: La Lope in Gabon, and Rabai in Kenya. The current dataset contains data from La Lope and the Rabai data can be found in a different dataset (DOI:10.5061/dryad.3tx95x6cz). In this dataset, we characterized 38 <em>Ae. aegypti</em> larval site from the La Lope village and 60 larval site from the La Lope forest. Specifically, the first ten column of the dataset provides basic information of each larval site, such as sampling location, date and habitat etc. The data also includes the measures of 11 physical variables of each larva site. These variables describe the size of the container, ambient environment such as temperature and humidity, and water pH and conductivity. Lastly, the dataset has the number of <em>Ae. aegypti</em> and other mosquito species found in each larval site, as well as measures of microbial density. Using this dataset, we found that forest and village larval sites have different microenvironments. The detailed analysis and discussion can be found in the paper.</p> <p>We hope this dataset could provide useful basic ecological information on <em>Ae. aegypti</em> larval habitat in Africa. We encourage future studies to explore this dataset and generate more hypothesis on <em>Ae. aegypti</em> ecology and evolution. </p>
Larval site characteristics of mosquito Aedes aegypti in Rabai, Kenya
<p>This dataset is described and analyzed in the paper: "Xia, S., Dweck, H. K. M., Lutomiah, J., Sang, R., McBride, C. S., Rose, N. H., Ayala, D., & Powell, J. R. (2021). Larval sites of the mosquito <em>Aedes aegypti formosus</em> in forest and domestic habitats in Africa and the potential association with oviposition evolution. Ecology and Evolution, 00, 1– 17. https://doi.org/10.1002/ece3.8332"</p> <p>The mosquito <em>Ae. aegypti</em> is a major vector of several arboviral diseases. In Africa, <em>Ae. aegypti</em> can be found in both ancestral forest habitats and human-made domestic habitats, such as villages. They also use different types of containers as larval sites: while the forest <em>Ae. aegypti </em>use tree holes and rock pools, the domestic populations rely mostly on artificial contains such as plastic buckets. As an initial attempt to better understand <em>Ae. aegypti</em> larval ecology and evolution in different habitats, we characterized the microenvironment of their larval sites in both habitats and compare them. We focus on two localities in Africa: La Lope in Gabon, and Rabai in Kenya. The current dataset contains data from Rabai and the La Lope data can be found in a different dataset (DOI:10.5061/dryad.7m0cfxprg). In this dataset, we characterized 31 <em>Ae. aegypti</em> larval site from four Rabai villages and 37 larval sites from the Rabai forest. Specifically, the first ten columns of the dataset provide basic information of each larval site, such as sampling location, date, and habitat, etc. The data also includes the measures of 16 physical variables of each larva site. These variables describe the size of the container, ambient environment such as temperature and humidity, and water pH and conductivity, etc. Lastly, the dataset has the number of <em>Ae. aegypti</em> and other mosquito species found in each larval site, as well as measures of microbial density. In addition, we also examined the chemical composition of volatiles from a subset of 42 larval sites. Using GC-MS, we identified chemical compounds in each larval site. Using these datasets, we found that forest and village larval sites have different microenvironments. The detailed analysis and discussion can be found in the paper. We hope this dataset could provide useful basic ecological information on <em>Ae. aegypti</em> larval habitat in Africa. We encourage future studies to explore this dataset and generate more hypotheses on <em>Ae. aegypti</em> ecology and evolution. </p>
GLOBE Mosquito Habitat Mapper Citizen Science Data 2017-2020
<p>Three Cases: Metadata and Procedures</p> <p>The data sets described here were used in an article submitted to the journal GeoHealth in 2021. The data files and further supplemental links (including general information about GLOBE data) can be accessed at https://observer.globe.gov/get-data/mosquito-habitat-data.</p> <p>Case 1: Removal of records with suspect geolocation data. A Python script was applied to remove records where the measured position (in decimal degrees) was identical to the GLOBE MGRS site position. GPS-obtained latitude and longitude coordinates are reported in decimal degrees, so records identified by whole numbers were also removed. This procedure removed 5704 (23%) of the 24983 records in the Mosquito Habitat Mapper database, with 19,279 records remaining. The secondary data sets cleaned only for geolocation anomalies were labeled Case 1.</p> <p>Case 2: Identifying suspected training events. For this test, we sought to identify groups of data that exceeded 10 records sharing these characteristics. Another Python script was employed to extract the photos for ease of visual inspection. Because we needed to manually review the photo records, we set the threshold for groups at >10, so that the analysis could be completed in the time allotted. Groups identified thought this procedure were outputted as case 2: groups. The resulting data set cleaned of groups >10 was labeled Case 2. The resulting data set included 20,006 records and identified 2,447 records found in clusters we postulated were training events.</p> <p>Case 3: The Case 3 secondary dataset result from applying the Python scripts used to create Cases 1 and 2. We used the Case 3 data sets, with improved geolocation and large groups eliminated, in the following analysis.</p> <p>Acknowledgments: These data were obtained from NASA and the GLOBE Program and are freely available for use in research, publications and commercial applications. When data from GLOBE are used in a publication, we request this acknowledgment be included: "These data were obtained from the GLOBE Program." Please include such statements, either where the use of the data or other resource is described, or within the acknowledgments section of the publication.</p>
Bacterial Community Diversity and Bacterial Interaction Network in Eight Mosquito Species
<p>Sequences of the V4 region of 16S rRNA from 111 mosquito samples. </p> <p>This dataset was used for analysis of bacterial diversity and bacterial interaction network in eight mosquito species. Result of the analysis is in the article "Bacterial Community Diversity and Bacterial Interaction Network in Eight Mosquito Species" (Genes 2022, 13(11), 2052; https://doi.org/10.3390/genes13112052).</p>
Datasets and R script to replicate the theoretical modeling from the article entitled Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission
<p>Datasets and R script to replicate the theoretical modeling from the article entitled "<strong> </strong>Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission" by Vantaux A., Moiroux N., Dabire K. R., Cohuet A., Lefevre T. 2023</p>
Dating the origin and spread of specialization on human hosts in Aedes aegypti mosquitoes
<p>The globally invasive mosquito subspecies <em>Aedes aegypti aegypti</em> is a highly effective vector of human arboviruses because it specializes in biting humans and breeding in human habitats. Recent work suggests that specialization first arose as an adaptation to long, hot dry seasons in the West African Sahel, where <em>Ae. aegypti</em> is forced to rely on human-stored water for breeding. However, rainfall patterns in this region have changed dramatically over the past 10–20 thousand years, and we do not yet know exactly when specialization occurred. Here we use whole-genome cross-coalescent analysis to date the emergence of human specialist populations in the Sahel and thus further probe the climate hypothesis. Importantly, we take advantage of the known migration of human-specialist populations out of Africa during the Atlantic Slave Trade to calibrate the coalescent clock and thus obtain a more precise estimate of the older evolutionary event than would otherwise be possible. We find that human-specialist mosquitoes diverged rapidly from ecological generalists approximately 5,000 years ago, which corresponds to the end of the African Humid Period—a time when the Sahara dried and water stored by humans became a uniquely stable, aquatic niche in the Sahel. We also use population genomic analyses to date a previously observed influx of human-specialist alleles into major West African cities, where mosquitoes tend to be more attracted to humans than in nearby rural populations regardless of climate. In this case, the characteristic length of tracts of human-specialist ancestry present on a generalist genetic background in Kumasi, Ghana and Ouagadougou, Burkina Faso suggests the change in behavior occurred during rapid urbanization over the last 20–40 years. Taken together, we show that the timing and ecological context of two previously observed shifts toward human biting in <em>Ae. aegypti</em> differ; climate was likely the original driver, but urbanization has become increasingly important in recent decades. Understanding the changing relationship between mosquitoes and humans over time is critical for predicting and managing the burdens of mosquito-borne disease.</p>
Citizen science data on the presence of invasive mosquitoes in Hungary
<ol> <li><span>Climate change, intensified tourism and trade activity result in several exotic mosquito species invading the temperate zone, which has considerable ecological and economic consequences and threatens human health due to the pathogen-transmitting role of these organisms. Accordingly, three invasive mosquito species (<em>Aedes</em> <em>albopictus</em>, <em>Ae. japonicus</em>, and <em>Ae. koreicus</em>) have been described in the last decade in Hungary, a Central European country. It is crucial to understand how invasive species are introduced and their distribution is expanded at the country-level, for which intense surveillance programs are needed.</span></li> <li><span>We have established a citizen science program, in which we asked the public to submit reports on their observations of invasive mosquitoes. During a three-year campaign, we have collected and taxonomically validated about 3,000 reports that can be arranged along both the temporal and spatial scales. We aggregated these observations into 35 km<sup>2</sup> quadrats and examined if these can be reliably used for scientific inferences.</span></li> <li><span>We first found that the number of validated reports in a quadrat depends on the underlying sampling effort (i.e., number of total reports), but this relationship varies among species and study years. Second, after controlling for study effort, we showed that the prevalence and presence/absence of invasive mosquitoes within quadrats are significantly repeatable among years, but this consistency varies in a species-specific way. Third, we demonstrated that conclusions about the local presence/absence of focal species based on citizen reports corroborate well the results of direct field sampling with conventional trapping protocols. </span></li> <li> <em><span>Synthesis and applications.</span></em><span> We suggest that if the reporting intensity is appropriate (i.e., the number of reports reaches a species-specific threshold), citizen science results can be used to derive biologically meaningful conclusions about the distribution of invasive mosquitoes in a country. Distribution maps of the three invasive species in Hungary can be used to identify ecological predictors that determine such spatial patterns and also to develop a mosquito control program and assess epidemiological risk. </span> </li> </ol>
Datasets and R script to replicate the statistical analyses from the article entitled Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission
<p>Datasets and R script to replicate the statistical analyses from the article entitled " Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission " by Vantaux A., Moiroux N., Dabire K. R., Cohuet A., Lefevre T. 2023</p>
Impact of household bulky waste collection on the presence of dengue-transmitting mosquito breeding sites_dataset
<p>The objective was to evaluate the impact of a municipal strategy to reduce Ae. aegypti in Asunción focused on the management of household bulky waste. To estimate the result, the Difference in Difference (DID) method was used. For the baseline, a simple random sampling of 324 households was carried out. The intervention implemented by the local government in an area with 180,000 residents, contributed to the collection of the equivalent of 14 kilos of bulky waste per inhabitant, given an idea of the magnitude of the problem. For the evaluation survey, 2.5 to 4 years after the intervention, 120 households were randomly selected, of which 60% had not been intervened (control households) and 40% had been intervened. As a result, a significant reduction was achieved in the total number of large solid waste found in the homes that were the object of the intervention. The differentiated collection was used mainly by those households that had a large number of large solid waste (DID of -55%), but not to get rid of all of these objects, but only a part. The data present no evidence of change in the percentage of households with breeding containers between the intervention and control groups.</p>
A difference in larval mosquito size allows a biocontrol agent to target the invasive species
<p><span>As the global temperature rises in the coming decades, <em>Aedes</em> <em>albopictus</em> is expected to invade and establish in South East England, where <em>Culex</em> <em>pipiens</em> is currently the most common native mosquito species. Biocontrol measures that use local cyclopoid copepods against <em>Ae. albopictus</em> may be compromised if the copepods prefer alternate <em>Cx. pipiens</em> prey. In this study, I assessed the predation efficiency of <em>Megacyclops</em> <em>viridis</em> copepods against French <em>Ae. albopictus</em> larvae and larvae that hatched from egg rafts of <em>Cx. pipiens</em> collected in South East England. The experiments were conducted at 15°C and 25°C, which are representative of present and future summer temperatures in South East England. <em>Ae. albopictus</em> larvae that survived the course of the experiment in the predator-absent controls were significantly smaller than <em>Cx. pipiens</em> larvae that survived in the absence of predation. The background mortality of <em>Cx. pipiens</em> larvae increased with the ten-degree increase in temperature, and the smaller size of surviving <em>Cx. pipiens</em> larvae at 25°C, relative to survivors at 15°C, suggests that larger <em>Cx. pipiens</em> larvae were more likely to die at the higher temperature setting. Across all experimental treatments, the ratio of copepod body length to mean prey length, based on larval lengths of survivors from the corresponding predator-absent controls, was a significant predictor of the copepod's predation efficiency. Adding temperature setting to the predation efficiency model as a predictor did not improve model fit. Within the mixed prey treatments, the predation efficiency of <em>M. viridis</em> was 34.5 percentage points higher against <em>Ae. </em>albopictus prey than against <em>Cx. pipiens</em> prey. The higher predation efficiency that <em>M. viridis </em>exhibited against invasive <em>Ae. albopictus</em> prey, likely due to the smaller size of these larvae, supports the future use of <em>M</em>. <em>viridis</em> as a biocontrol agent in the UK.</span></p>
ScienceDex guides
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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.