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67 results for “Larval Habitats”
Figure 5 in New information about the third stage larva and larval habitat of Microdon (Chymophila) bruchi Shannon, 1927 (Diptera, Syrphidae) from Argentina
Figure 5. Microdon (Chymophila) argentinae Hull, 1937, holotype male. (a) habitus – dorsal; (b) habitus – lateral; (c) head – frontal; (d) head – lateral; (e) head – dorsal; (f) scutellum; (g) abdomen – dorsal.
Combining population genomics with demographic analyses highlights habitat patchiness and larval dispersal as determinants of connectivity in coastal fish species
<p>Gene flow shapes spatial genetic structure as well as the potential for local adaptation of populations. Among marine animals with non-migratory adults, the presence or absence of a pelagic larval stage is thought to be a key determinant in shaping gene flow and the genetic structure of populations. In addition, the spatial distribution of suitable habitats will influence the distribution of biological populations and their pattern of gene flow. We used whole genome sequencing to study demographic history and reduced representation (ddRAD) sequencing data to analyze spatial genetic structure in the broadnosed pipefish (<em>Syngnathus typhle</em>). Its main habitat are seagrass meadows, which along the study coast (SW Norway) have a patchy distribution. Combining the results from several analyses including scans for selection, suggests that stochastic genetic drift has shaped the observed population structure largely due to its patchy habitat distribution. The restricted gene flow is further driven by life history traits such as the presence of parental care combined with no pelagic life stages, resulting in a clear isolation-by-distance pattern spanning 100s of kilometers.</p> <p>The spatial scale of demographic connectivity was inferred from long-term (~30 year) census population counts that uncovered a sharp decline in spatial correlations in abundance with distance (37% decorrelation over 2 km). These findings were contrasted with data from two other fish species sampled along the same coastline, both having pelagic larval stages lasting ~20 days (corkwing wrasse, <em>Symphodus melops</em>, and black goby, <em>Gobus niger</em>) where the population structure is not that evident. For these species, we found a wider spatial scale of demographic connectivity (decorrelation distances of 14 and 28 km, respectively), and weaker isolation-by-distance except at one point along the coast where both species revealed a strong barrier to gene flow, seemingly due to a lack of suitable habitat. Combined, these findings suggest that habitat fragmentation and absence of a pelagic larval stage in pipefish strongly increases geographic structuring, while the pelagic larvae of wrasse and goby increase genetic and demographic connectivity, except over extensive habitat shifts.</p>
Data from larval habitat occupancy and habitat attribute surveys.
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Figs. 1–6. Cicindela pruinina. 1 in Larval Description of Cicindela (Dromochorus) pruinina (Casey) (Coleoptera: Carabidae: Cicindelinae) with Notes on Habitat and Adult Behavior
Figs. 1–6. Cicindela pruinina. 1) third instar, pronotum; 2) second instar, pronotum; 3) first instar, pronotum; 4) third instar, third abdominal segment, lateral aspect; 5) third instar, fifth abdominal segment, dorsal aspect; 6) third instar, ninth eusternum, ventral aspect. Scale bars equal 1.0 mm.
Fig. 1 in Interspecific Variation in Cranial Architecture and Mandibular Geometry in Two Agabine (Coleoptera: Dytiscidae) Larval Co-Inhabitants of a Temporary Habitat
Fig. 1. Frequency distributions for intermandibular articulation distances (ID) for mature larval representatives of Bibb Co., Georgia populations of Agabus disintegratus (black bars) and Agabus punctatus (white bars) (n = 10 each) and a Baldwin Co., Georgia population of A. punctatus (striped bars) (n = 9).
A cryopreservation method to recover laboratory- and field-derived bacterial communities from mosquito larval habitats
<p>Mosquitoes develop in a wide range of aquatic habitats containing highly diverse and variable bacterial communities that shape both larval and adult traits, including the capacity of adult females of some mosquito species to vector disease-causing organisms to humans. However, while most mosquito studies control for host genotype and environmental conditions, the impact of microbiota variation on phenotypic outcomes of mosquitoes is often unaccounted for. The inability to conduct reproducible intra- and inter-laboratory studies of mosquito-microbiota interactions has also greatly limited our ability to identify microbial targets for mosquito-borne disease control. Here, we developed an approach to isolate and cryopreserve bacterial communities derived from lab- and field-based larval-rearing environments of the yellow fever mosquito <em>Aedes</em> <em>aegypti</em>–a primary vector of dengue, Zika, and chikungunya viruses. We then validated the use of our approach to generate experimental microcosms colonized by standardized lab- and field-derived bacterial communities. <span>Our results overall reveal minimal effects of cryopreservation on the recovery of both lab- and field-derived bacteria when directly compared with isolation from non-cryopreserved fresh material. Our results also reveal improved reproducibility of bacterial communities in replicate microcosms generated using cryopreserved stocks over fresh material. Communities in replicate microcosms further captured the majority of total bacterial diversity present in both lab- and field-based larval environments, although the relative richness of recovered taxa as compared to non-recovered taxa was substantially lower in microcosms containing field-derived bacteria. Altogether, these results provide a critical next step toward the standardization of mosquito studies to include larval-rearing environments colonized by defined microbial communities. They also lay the foundation for long-term studies of mosquito-microbe interactions and the identification and manipulation of taxa with potential to reduce mosquito vectorial capacity.</span></p>
Combining population genomics with demographic analyses highlights habitat patchiness and larval dispersal as determinants of connectivity in coastal fish species
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Data for: Larval habitats impose trait-dependent limits on the direction and rate of adult evolution in dragonflies
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Data from: The importance of accounting for larval detectability in mosquito habitat-association studies
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Data from: Widespread and persistent invasions of terrestrial habitats coincident with larval feeding behavior transitions during snail-killing fly evolution (Diptera: Sciomyzidae)
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A cryopreservation method to recover laboratory- and field-derived bacterial communities from mosquito larval habitats
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Data from: The evolution of marine larval dispersal kernels in spatially structured habitats: analytical models, individual-based simulations, and comparisons with empirical estimates
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Data from: Benefits of turbid river plume habitat for Lake Erie yellow perch (Perca flavescens) recruitment determined by juvenile to larval genotype assignment
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Investigating the impact of human settlements upon the availability of larval habitats and Aedes albopictus population
<b>Description: </b><p>This experiment analysed the impact of human settlements upon Aedes albopictus populations. Surveys were conducted in natural environments (twice-logged forest) and human settlements in oil palm and logged forest. At each study site, three surveys were conducted: <br><br>1) Aquatic Habitat Survey: within the study area, all bodies of water were analysed for abiotic characteristics – container type, water volume, air temperature, water temperature, canopy cover and turbidity. <br>2) Larval Survey: for each body of water, the number of and stage of larvae/pupae was recorded. Larvae/pupae were extracted from the water, reared to adults and Ae. albopictus were identified. <br>3) Adult Population Survey: human landing catches were conducted to collect Ae. albopictus adults. Abundance and sex ratio was recorded for each location, and the wing span of each individual was taken. </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/202"><b>Investigating the impact of human settlements upon the availability of larval habitats and Aedes albopictus populations</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>SAFE - Tropical Forest Ecology Masters (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 (Research licence JKM/MBS.1000-2/2 JDL.8 (59))</li><li>Medical Research & Ethics Committee (Ethics licence NMRR-17-3242-39250 (IIR))</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=3929764">here</a></p><p><b>Files: </b>This dataset consists of 4 files: M_Vollans_Larval_Habitats_19v2.xlsx, Larval_Adult_ID.zip, HLC_Wing_Length.zip, Larval_Habitat_Photos.zip</p><p><b>M_Vollans_Larval_Habitats_19v2.xlsx</b></p><p>This file contains dataset metadata and 4 data tables:</p><ol><li><p><b>Aquatic Habitat Survey</b> (described in worksheet AquaticHabitatSurvey)</p><p>Description: AquaticHabitatSurvey</p><p>Number of fields: 30</p><p>Number of data rows: 89</p><p>Fields: </p><ul><li><b>Date</b>: Date of survey (Field type: date)</li><li><b>Land_Type</b>: Details of Land-Type (Field type: categorical)</li><li><b>Location</b>: Details of location. OP = Oil Palm, LF = Logged Forest (Field type: categorical)</li><li><b>Replicate</b>: Details location, as named in location sheet. To 'replicate' resolution. (Field type: location)</li><li><b>Number_10m^2_Square</b>: Number 10m^2 surveyed (Field type: replicate)</li><li><b>Sampling_Region</b>: Details of 10m^2 the aquatic habitat corresponds to: in human settlements, this is the type of building, and in natural environments, the compass direction of the square from the second order point (N/S/E/W). (Field type: replicate)</li><li><b>Elevation</b>: Elevation from GPS (Field type: numeric)</li><li><b>GPS_file_name</b>: File name saved on GPS (Field type: id)</li><li><b>Access_Available</b>: Record of whether able to access the aquatic habitat (Field type: categorical)</li><li><b>Comments</b>: General comments on aquatic habitat (Field type: comments)</li><li><b>Canopy_cover</b>: Record of canopy cover. NA where inside. Data incomplete. (Field type: numeric)</li><li><b>Inside/Outside</b>: Record of whether the aquatic habitat is inside or outside (NA for natural land types, where all larval habitats are outside). (Field type: categorical)</li><li><b>Water_Turbidity</b>: Water turbidity, subjective categorization by a consistant surveyer. (Field type: categorical)</li><li><b>Water_Temperature</b>: Temperature of the water in the aquatic habitat. NOTE: potential faulty equipment. This data was not used in analysis. (Field type: numeric)</li><li><b>Air_Temperature</b>: Temperature of the air directly above the aquatic habitat. (Field type: numeric)</li><li><b>Type_Aquatic_Habitat</b>: Record of the type of aquatic habitat (Field type: categorical)</li><li><b>In_Constant_Use</b>: Record of whether the aquatic habitat is in constant use. (Field type: categorical)</li><li><b>Water_Volume</b>: Total water volume of the aquatic habitat (Field type: numeric)</li><li><b>Radius</b>: Radius of the aquatic habitat (Field type: numeric)</li><li><b>Diameter</b>: Diameter of the aquatic habitat (Field type: numeric)</li><li><b>Length</b>: Length of the aquatic habitat (Field type: numeric)</li><li><b>Width</b>: Width of the aquatic habitat (Field type: numeric)</li><li><b>Water_Depth</b>: Depth of the water in the aquatic habitat (Field type: numeric)</li><li><b>Larval/Pupal_Presence</b>: Record of whether larvae/ pupae are present in the aquatic habitat. (Field type: categorical)</li><li><b>Total_Number_Larvae/Pupae</b>: The total number of larvae / pupae found within an aquatic habitat. (Field type: numeric)</li><li><b>1/2_Instar_Larvae_Number</b>: The number of 1st and 2nd instar larvae found within an aquatic habitat. (Field type: numeric)</li><li><b>3/4_Instar_Larvae_Number</b>: The number of 3rd and 4th instar larvae found within an aquatic habitat. (Field type: numeric)</li><li><b>Pupae_Number</b>: The number of pupae found within an aquatic habitat. (Field type: numeric)</li><li><b>Further_comments</b>: Further comments on aquatic habitat. (Field type: comments)</li><li><b>Photo.folder.name</b>: Folder name containing photos of the study site. (Field type: id)</li></ul></li><li><p><b>Larva lAdult ID</b> (described in worksheet LarvalAdultID)</p><p>Description: LarvalAdultID</p><p>Number of fields: 6</p><p>Number of data rows: 76</p><p>Fields: </p><ul><li><b>Date_of_ID</b>: Date of survey (Field type: date)</li><li><b>Ae.albopictus</b>: Record of whether adults are Ae. albopictus, or some other member of the Culicidae (Field type: taxa)</li><li><b>Location</b>: Details of location. (Field type: location)</li><li><b>Wing_length</b>: Measurement of wing length. (Field type: numeric trait)</li><li><b>Photo_folder_ID</b>: Folder name containing photos for adult ID and wing length. (Field type: id)</li><li><b>Comments</b>: General comments about identification / wingspan measurement. (Field type: comments)</li></ul></li><li><p><b>HLC overview</b> (described in worksheet HLCoverview)</p><p>Description: HLCoverview</p><p>Number of fields: 8</p><p>Number of data rows: 16</p><p>Fields: </p><ul><li><b>Date</b>: Date of survey (Field type: date)</li><li><b>Location</b>: Broad location of where HLC occurred. (Field type: location)</li><li><b>Comments</b>: Qualitative details about exact location. (Field type: comments)</li><li><b>Ae.albopictus</b>: Number of Ae. albopictus obtained during a single 1.5 hour sample. (Field type: abundance)</li><li><b>Number_of_males</b>: Number of Ae. albopictus males (Field type: numeric)</li><li><b>Sex_Ratio_(M/Total)</b>: Sex Ratio (number of males / total number) (Field type: numeric)</li><li><b>Survey_complete</b>: Record if it was possible to complete the HLC survey. (Field type: categorical)</li><li><b>Further_comments</b>: Further comments (Field type: comments)</li></ul></li><li><p><b>HLC adult ID</b> (described in worksheet HLCadultID)</p><p>Description: HLCadultID</p><p>Number of fields: 8</p><p>Number of data rows: 111</p><p>Fields: </p><ul><li><b>Date</b>: Date of sampling (Field type: date)</li><li><b>Location</b>: Broad location of where HLC occurred. (Field type: location)</li><li><b>Specific_Location</b>: Qualitative details about exact location. (Field type: comments)</li><li><b>Sex</b>: Sex (Field type: categorical)</li><li><b>Wing Length</b>: Wing length measurement (Field type: numeric trait)</li><li><b>Weather</b>: Weather description (Field type: categorical)</li><li><b>Comments</b>: Comments on wing dissection issues. (Field type: comments)</li><li><b>Photo_Code</b>: Folder name containing wing length photos. (Field type: id)</li></ul></li></ol><p><b>Larval_Adult_ID.zip</b></p><p>Description: Zip file containing JPEG images to ID adult mosquitoes reared from collected larvae. </p><p><b>HLC_Wing_Length.zip</b></p><p>Description: Zip file containing JPEG images of the wingspan of adult mosquitoes collected via HLC. </p><p><b>Larval_Habitat_Photos.zip</b></p><p>Description: Zip file containing photos of some of the larval habitats encountered, and some general landscapes. </p><p><b>Date range: </b>2019-04-03 to 2019-05-06</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 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>Aedes</i> <br> -  -  -  -  -  -  -  <i>Aedes albopictus</i> <br></div><p></p>
FIGURE 6 in Description of Chironomus quinnitukut, n. sp., closely related to the C. decorus group in North America, with characterization of an additional larval form from halobiontic habitats
FIGURE 6. Heterozygotes for inversions in arms C, D, E, F and G of C. quinnitukqut.
Figs. 1–3. Nicagus obscurus. 1 in Description Of The Larva Of Nicagus Bscurus (Leconte) (Coleoptera: Lucanidae: Nicaginae), With Comments On Its Position In Lucanidae And Notes On The Larval And Adult Habitat
Figs. 1–3. Nicagus obscurus. 1) Head, anterodorsal view; 2) antenna; 3) epipharynx, ventral view.
Figure 12 in New information about the third stage larva and larval habitat of Microdon (Chymophila) bruchi Shannon, 1927 (Diptera, Syrphidae) from Argentina
Figure 12. Microdon (Chymophila) aurifacius Hull, 1937, holotype male, mesoscutum, lateral view.
Figure 9 in New information about the third stage larva and larval habitat of Microdon (Chymophila) bruchi Shannon, 1927 (Diptera, Syrphidae) from Argentina
Figure 9. Microdon (Chymophila) angulatus Hull, 1943, holotype male, hind leg.
Figure 11 in New information about the third stage larva and larval habitat of Microdon (Chymophila) bruchi Shannon, 1927 (Diptera, Syrphidae) from Argentina
Figure 11. Microdon (Chymophila) limbatus Wiedemann, 1830, holotype male, habitus.
Figure 10 in New information about the third stage larva and larval habitat of Microdon (Chymophila) bruchi Shannon, 1927 (Diptera, Syrphidae) from Argentina
Figure 10. Microdon (Chymophila) cyaneiventris (Macquart, 1846), syntype female, scutellum.
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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)
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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.