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1,479 results for “Insect species”
CGP01 Gall-insect densities on selected plant species in watersheds with different fire frequencies
Long-term monitoring of gall-insect densities on Solidago canadensis, Vernonia baldwinii, and Ceanothus herbaceous. Gall abundances are censused in watersheds burned at one- to twenty- year intervals to asses the role of fire frequency and time since fire on gall-insect population dynamics. The data sets contain the following: Watershed fire frequency, number of growing seasons since last fire, plant species, number of galled stems, and number of censused stems. Censuses conducted for the 1989-1996 growing seasons except 1992 and 1994, next scheduled census is fall 1997.
Dataset: Relation of pest insect-killing and soilborne pathogen-inhibition abilities to species diversification in environmental Pseudomonas protegens
<p>This dataset is related to "<em>Relation of pest insect-killing and soilborne pathogen-inhibition abilities to species diversification in environmental Pseudomonas protegens</em>" and contains all the data obtained from insect experiments and plant-pathogen inhibition assays, as well as the code used for phylogenetic and Biolog anaylsis. </p>
A bite force database of 654 insect species
<p>The insect bite force database as described in Rühr et al. (<strong>accepted</strong>): A bite force database for 654 insect species. doi: <a href="https://doi.org/10.1038/s41597-023-02731-w">1038/s41597-023-02731-w</a>.</p><p>The code used to convert the raw measurements to the final database and to create all tables and figures of the original publication can be found on its <a href="https://github.com/Peter-T-Ruehr/InsectBiteForceDatabase">GitHub Page</a> (under release <a href="https://github.com/Peter-T-Ruehr/InsectBiteForceDatabase/releases/tag/v1.0.0">v1.0.0</a>).</p>
Data and code from: Insect biomass decline scaled to species diversity: General patterns derived from a hoverfly community
<p>To study changes in flying insect communities, and hoverflies in particular, malaise trap samples from a German site were compared between two years (Hallmann et al. 2020). The data files deposited here contain data obtained from six malaise traps in the Wahnbachtal (North Rhine-Westphalia, Germany, 50.851944N, 7.320833E) that were deployed in 1989 and again in 2014, at the exact same locations. Traps were situated in wet meadows as well as tall perennial meadows, in close proximity to shrub corridors, to forest–grassland borders, and to the Wahnbach River and surrounded by agricultural land, essentially a rather heterogeneous habitat. The Wahnbach River and the greater part of the valley are protected for watershed purposes and are subject to nature conservation management by the Wahnbach Talperrenverband. Hence, several restrictions apply to safeguard against water contamination.</p> <p>Total insect biomass collected with these traps was already included in Hallmann et al. (2017), but here we focus on additional information: the abundance and richness of hoverflies (Syrphidae) in each of the collected samples (pots). Methodologies of collection are described in Sorg (1990), Schwan et al. (1993), Sorg et al. (2013), Hallmann et al. (2017), and Ssymank et al. (2018). In brief, malaise traps were deployed throughout the growing season and operated continuously (day and night). Malaise trap construction (e.g., size, material, colouring, and ground sealing) and placing (e.g., positioning, orientation, and slope of the locations) were standardised in all aspects. Insect samples were preserved in 80% ethanol solution. Catches of the six traps investigated in the present study were emptied regularly: On average exposure intervals were 7.0 d (SD = 0.5) in 1989 and 16.7 d (SD = 5.6) in 2014. Across the six traps in 2014 the total exposure time (in number of days) was 42% higher compared to 1989. All collected samples (n = 196) were used in the present analysis with in total 19,604 individual hoverflies counted, distributed over 162 species and 59 genera.</p> <p>To assess how environmental conditions have changed over the 25 year, several additional datasets were assembled. Climatic<br> data were obtained from 169 climatic stations and were used to interpolate daily weather variables to each trap location, using spatiotemporal kriging. These steps are described in detail in Hallmann et al. (2017).</p> <p>Our analysis (see R code) consists of three components. First, we considered total abundance, species richness, and species diversity, at two temporal scales: pooled per year, i.e., across the sampling season, and seasonally (i.e., per day), and we compared these metrics between 1989 and 2014. Second, we examined how total flying biomass (i.e., the weight of all trapped insects, of which hoverflies are only a small proportion) related to total abundance as well as species richness of hoverflies. Third, we derived persistence probabilities and population growth rate trends per species, to examine interspecific variation in these parameters.</p> <p>Descriptions of the deposited files:</p> <p><strong>Groups.csv</strong><br> MF_NR = identifier of each of the six malaise trap locations<br> yrf = year of sampling<br> pot = sample identifier<br> dt = number of sampling days<br> from.dnr = day-of-the-year on which a pot was attached to a malaise trap<br> to.dnr = day-of-the-year on which a pot was collected from a malaise trap<br> mean.daynr = mean day-of-the-year of the sampling period<br> Nspec = number of different hoverfly species found in a pot<br> Nind = number of hoverfly individuals found in a pot</p> <p><strong>Counts.csv</strong><br> A matrix of counts of individual hoverflies per pot per species. The 196 rows represent the pots in the same order as in the file 'Groups.csv'. The columns represent the 162 different hoverfly species found. The scientific species names are indicated in the column headers.</p> <p><strong>PairedData.csv</strong><br> pot = sample identifier<br> JAHR = year of sampling<br> MF_NR = identifier of each of the six malaise trap locations<br> dt = number of sampling days<br> from.dnr = day-of-the-year on which a pot was attached to a malaise trap<br> to.dnr = day-of-the-year on which a pot was collected from a malaise trap<br> NI = number of hoverfly individuals found in a potbiomass.daily<br> NSP = number of different hoverfly species found in a pot<br> biomass.daily = daily fresh weight [gram] of flying insects: total fresh weight in a pot divided by the number of sampling days.</p> <p><strong>ModelFrame.csv</strong><br> MF_NR = identifier of each of the six malaise trap locations<br> yrf = year of sampling<br> pot = sample identifier<br> dt = number of sampling days<br> from.dnr = day-of-the-year on which a pot was attached to a malaise trap<br> to.dnr = day-of-the-year on which a pot was collected from a malaise trap<br> mean.daynr = mean day-of-the-year of the sampling period<br> plot = identifier of each of the six malaise trap locations<br> date = date for which the weather variables are interpolated<br> daynr = day-of-the-year for which the weather variables are interpolated<br> altitude = altitude [m] of the malaise trap locations<br> year = year of sampling<br> temperature = interpolated temperature [degrees Celsius]<br> precipitation = interpolated precipitation [mm per day]<br> wind.speed = interpolated wind speed [m/s]</p> <p><strong>Data_Rcode.pdf</strong><br> This pdf provides the R-code behind the analysis of the Hoverfly data. Three datasets are provided along with this R-code document, namely "Counts.csv", "Groups.csv", "PairedData.csv" and "ModelFrame.csv". Additionally, the BUGS-code ""syrphidModel.jag" is required for running the daily-activity model in JAGS.</p> <p><strong>syrphidModel.jag</strong><br> This BUGS-code is required for running the daily-activity model in JAGS.</p>
Total numbers and species of insects taken from rock scrubbings during the summer of 1984-1988, 1993-1994, 1996-1998, in the Kuparuk River experimental reach near Toolik Field Station, North Slope Alaska..
A rock-scrubbing technique was used to collect bottom samples at several different stations with three replicates at each station in the Kuparuk River. The stations are measured relative to the 1984 phosphorus dripper. Only July sampling dates are included in this file (ACG). The samples were preserved in ethanol then picked, sorted, counted, and measured in Duluth using a NIKON MICRO-PLAN II digitizing pad.
Tatocnemis malgassica. a. Insect, natural size. b in Descriptions of new Genera and Species of Odonata in the Collection of the British Museum, chiefly from Africa.
Tatocnemis malgassica. a. Insect, natural size. b. Extremity of abdomen, showing appendages, magnified 7 ½ times.
GC-MS data set for Generation of a chromosome-scale genome assembly of the insect-repellant terpenoid-producing Lamiaceae species, Callicarpa americana
<p>RAW GC/MS data set for characterization of class II terpene synthases from <em>Callicarpa americana </em></p>
Fig. 4 in A new genus and two new species of soft scale insect (Sternorrhyncha, Coccoidea, Coccidae) from Africa
Fig. 4. Hemilecanium cedrelus Hodgson, sp. n., female 2nd-instyar nymph. For lettering, see Figs 1 & 2, but also where 3rd = position of dorsal tubercles on pharate 3rd-instar nymph.
Fig. 3 in A new genus and two new species of soft scale insect (Sternorrhyncha, Coccoidea, Coccidae) from Africa
Fig. 3. Hemilecanium cedrelus Hodgson, sp. n., female 3rd- instar nymph. For lettering, see Figs 1 & 2, but where scar = position of scars left by dorsal tubercles of 2nd-instar nymph.
Fig. 2 in A new genus and two new species of soft scale insect (Sternorrhyncha, Coccoidea, Coccidae) from Africa
Fig. 2. Hemilecanium cedrelus Hodgson, sp. n., adult female. For lettering, see Fig. 1, but also where B = dorsal tubercle; E = preopercular pore; J = marginal seta and J 1 = marginal seta on anal lobe; K = stigmatic spines; P = tubular ducts; and scars = scars showing position of dorsal tubercles of 3rd-instar nymph.
Fig. 2 in The new genus of stick insect Lobofemora from Vietnam, with the description of three new species (Phasmida: Phasmatidae: Clitumnini)
Fig. 2. Lobofemora bachmaensis sp. nov. ♂, holotype. A. Habitus, dorsal view. B. Habitus, lateral view. C. Habitus, ventral view. D. Anterior part of body, dorsal view. E. Apex of abdomen, dorsal view. F. Apex of abdomen, lateral view. G. Apex of abdomen, ventral view. H. Anterior part of body, lateral view. D–H = not to scale.
Fig. 10 in The new genus of stick insect Lobofemora from Vietnam, with the description of three new species (Phasmida: Phasmatidae: Clitumnini)
Fig. 10. Lobofemora gen. nov. spp., photographs in natura by the authors. A–C. L. bachmaensis sp. nov., Bach Ma National Park. A–B. ♀, 11 Jul. 2011. C. ♀, 14 Jul. 2011. D–G. L. bidoupensis sp. nov., Bidoup-Nui Ba National Park. D. ♂, 22 Jul. 2014. E–F. ♀, 25 Jul. 2014. G. ♀, 23 Jul. 2014. H–J. L. scheirei sp. nov. H–I. Dong Nai Biosphere Reserve, 30 Jun. 2012. H. ♂. I. ♀. J. ♀, Cat Tien National Park, 9 Jul. 2012.
Fig. 6 in The new genus of stick insect Lobofemora from Vietnam, with the description of three new species (Phasmida: Phasmatidae: Clitumnini)
Fig. 6. Lobofemora scheirei sp. nov. ♂, holotype. A. Habitus, dorsal view. B. Habitus, lateral view. C. Habitus, ventral view. D. Anterior part of body, dorsal view. E. Apex of abdomen, dorsal view. F. Apex of abdomen, lateral view. G. Apex of abdomen, ventral view. H. Anterior part of body, lateral view. D–H = not to scale.
Fig. 4 in The new genus of stick insect Lobofemora from Vietnam, with the description of three new species (Phasmida: Phasmatidae: Clitumnini)
Fig. 4. Lobofemora bidoupensis sp. nov. ♂, holotype. A. Habitus, dorsal view. B. Habitus, lateral view. C. Habitus, ventral view. D. Anterior part of body, dorsal view. E. Apex of abdomen, dorsal view. F. Apex of abdomen, lateral view. G. Apex of abdomen, ventral view. H. Anterior part of body, lateral view. D–H = not to scale.
Fig. 3 in The new genus of stick insect Lobofemora from Vietnam, with the description of three new species (Phasmida: Phasmatidae: Clitumnini)
Fig. 3. Lobofemora bachmaensis sp. nov. ♀, paratype. A. Habitus, dorsal view. B. Habitus, lateral view. C. Habitus, ventral view. D. Right median leg, detail. E. Anterior part of body, dorsal view. F. Apex of abdomen, dorsal view. G. Apex of abdomen, lateral view. H. Apex of abdomen, ventral view. I. Anterior part of body, lateral view. D–I = not to scale.
Fig. 9 in The new genus of stick insect Lobofemora from Vietnam, with the description of three new species (Phasmida: Phasmatidae: Clitumnini)
Fig. 9. Lobofemora scheirei sp. nov., captive reared specimens (photographs by Dr B. Kneubühler). A–H. ♀. A. Dorsal view. B. Ventral view. C. Lateral view. D. Dorsolateral view, morph whitish with head, apex of abdomen and legs chestnut brown. E. Head, lateral view. F. Apex of abdomen, dorsal view. G. Apex of abdomen, lateral view. H. Apex of abdomen, ventral view. I–M. ♂. I. Dorsal. J. Wing spread, lateral view. K. Head and thorax, lateral view. L. Apex of abdomen, lateral view. M. Apex of abdomen, dorsal view. N. Nymph. O. Eggs. P–S. Egg. P. Detail of micropylar plate. Q. Ventral view. R. Detail of operculum. S. Detail of polar area. T. Eggs laid in a slice of sponge.
List of insects in the Natura 2000 site "Fiumi Giardino-Aterno-Sagittario, Riserva Sorgenti del Pescara", with focus on protected species under the Habitats Directive
<p>The dataset contains records of insects surveyed in the Special Area of Conservation "Fiumi Giardino-Aterno-Sagittario, Riserva Sorgenti del Pescara" (IT7110097), Abruzzo Region, Italy. The species were collected during a field campaign aimed at updating the information about the presence of species protected under the Habitats Directive for the purposes of the site management plan.</p> <p>The survey was carried out in 2013 with different sampling methods: visual inspection (Odonata and Lepidoptera), entomological net (Odonata and Lepidoptera), black cross window traps baited with specific pheromone (<em>Osmoderma eremita</em>).</p> <p>The study area was divided into 5 sampling areas which corresponds to different habitat types: 1. Sorgenti del Pescara (river spring), 2. Parco Fluviale Giardino (urban park with old trees), 3. Orti di Popoli (agricultural landscape), 4. Fiume Aterno (river), 5. Fiume Sagittario (river). Among them, a total of 11 sampling sites were identified.</p> <p>The target taxa were: Odonata, Lepidoptera and <em>Osmoderma eremita</em> (Coleoptera). The information collected on <em>Osmoderma eremita</em> were included in the paper by Giangregorio et al. (2015), a study on the presence of this species in the Abruzzo Region.</p> <p>The dataset contains 37 species, the taxonomy follows Fauna europaea (https://fauna-eu.org/).</p>
Fig. 1 in A new genus and two new species of soft scale insect (Sternorrhyncha, Coccoidea, Coccidae) from Africa
Fig. 1. Sterculicoccus tafoensis Hodgson, sp. n., adult female. Where: A = dorsal setae; C = dorsal microductule; D = dorsal simple porte; F = dorsal view of anal plates; G = ventral view of anal plates; H = microridges on dorsal surface of anal plate; J = marginal seta; L = pregenital disc-pore; M = spiracular disc-pore; N = ventral microduct; P = larger ventral tubular duct; Q = smaller ventral tubular duct; R = antenna; S = claw, and T = ventral setae.
Fig. 5 in A new genus and two new species of soft scale insect (Sternorrhyncha, Coccoidea, Coccidae) from Africa
Fig. 5. Hemilecanium cedrelus Hodgson, sp. n., 1st-instar nymph (sex unknown). For lettering, see Figs 1 & 2, but where E = dorsal trilocular pore; L =dorsal protuberances, and H = tibio-tarsal articulation with microspines.
Fig. 10 in Philippine mossy forest stick insects: first record of the genus Otraleus Günther, 1935 in the country, with four new species, and the new genus Capuyanus gen. nov. (Phasmida, Diapheromeridae, Necrosciinae)
Fig. 10. Otraleus spp., photographs in natura. — A–F. O. christianae sp. nov. A. ♂, 16 Nov. 2013. B. ♀, 16 Nov. 2013. C. ♂, 15 Mar. 2015. D. ♂, nymph, 15 Mar. 2015. E–F. ♀, nymph, 24 Aug. 2015. — G–H. O. elizabethae sp. nov., ♀, 11 Apr. 2013 (photographs: A–F © A. Kang; G–H © T. Heitzmann).
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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)
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.