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Data for: "Continental-scale patterns in diel flight timing of high-altitude migratory insects"
<p>This dataset contains the proportional migratory insect intensity and traffic data used in Haest <em>et al.</em> (2024) to quantify patterns in diel flight periodicity of migratory insects between 50-500m above ground level during March-October 2021 using a network of seventeen vertical-looking radars across Europe. Please see the Materials and Methods section in Haest <em>et al.</em> (2024) for more details on the dataset. </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>
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>
Figure 2 in Taxonomic study and population variation of scale insects (Hemiptera: Coccidae and Diaspididae) and associated parasitoids (Hymenoptera: Chalcidoidea) in an olive grove at Rio Grande do Sul, Brazil
Figure 2. Population variation of Hemiberlesia lataniae (Hemiptera: Diaspididae) on different varieties of Olea europaea (Arbequina, Arbosana and Koroneiki), at different times of sampling, in Barra do Ribeiro (30°30′54.95″S, 51°30′20.84″W), Rio Grande do Sul, Brazil.
Figure 1 in Taxonomic study and population variation of scale insects (Hemiptera: Coccidae and Diaspididae) and associated parasitoids (Hymenoptera: Chalcidoidea) in an olive grove at Rio Grande do Sul, Brazil
Figure 1. Population variation of Hemiberlesia lataniae (Hemiptera: Diaspididae) in an Olea europaea multivarietal olive grove (Arbequina, Arbosana and Koroneiki), at different sampling times, considering different phases and stage of development in Barra do Ribeiro (30°30′54.95″S, 51°30′20.84″W), Rio Grande do Sul, Brazil.
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. 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. 1 in New scale insects (Homoptera: Coccinea) from the Cape Floristic Region
Fig. 1. South Africa, Western Cape Prov., banks of the Lower Palmiet River, the type locality of the new species.
Figures 10-12 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figures 10-12. Diaspididae spp., habitus, detail of venter of L1 lobes, and pygidium ventral (left) and dorsal (right). 10) Dichosoma convexa (after Brimblecombe 1957). 11) Duplaspidiotus claviger (after Ferris 1937). 12) Eulaingia stenophyllae (after Borchsenius and Williams 1963).
Figure 3 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figure 3. Protomorgania koebelei adult female (pygidium). A) L1 lobes fused ventrally, appressed dorsally; B) single simple plate between L1 and position of L2 seta; C) anal pore; D) sclerotized arch; E) chitinized and finely stippled cuticle around vulva.
Figure 2 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figure 2. Protomorgania koebelei adult female (thorax and Abdomen). A) anterior perispiracular pores; B) dorsal microducts; C) dorsal microducts, magnified; D) roughened cuticle.
Figure 19 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figure 19. Pseudotargionia glandulosa, habitus, detail of venter of L1 lobes, and pygidium ventral (left) and dorsal (right) (after Ferris 1937).
Figure 1. Protomorgania koebelei adult female. A in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figure 1. Protomorgania koebelei adult female. A) habitus; B) tubercle; C) anterior spiracle; D) posterior spiracle; E) pygidial lobes; F) slide mounted female habitus; G) habitus on host; H) close-up of habitus on host
Figures 7-9 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figures 7-9. Diaspididae spp., habitus, detail of venter of L1 lobes, and pygidium ventral (left) and dorsal (right) (after Brimblecombe 1957). 7) Diaphoraspis orbata. 8) Diaspidopus distinctus. 9) Diastolaspis novata.
Figures 4-6 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figures 4-6. Diaspididae spp., habitus, detail of venter of L1 lobes, and pygidium ventral (left) and dorsal (right) (after Brimblecombe 1957). 4) Achorphora obliqua. 5) Acontonidia triangulari. 6) Aspidonymus woodwardi.
Figures 16-18 in A new genus and species of armored scale insect (Hemiptera: Diaspididae) from Australia found in the historic Koebele Collection of the California Academy of Sciences John W. Dooley III
Figures 16-18. Diaspididae spp., habitus, detail of venter of L1 lobes, and pygidium ventral (left) and dorsal (right). 16) Neoleonardia extensa (after Ferris 1938). 17) Neomorgania eucalypti (after Ferris 1937). 18) Pseudaonidia duplex (after Ferris 1937).
Fig. 5 in Nestedness of stream insects in Subtropical region: importance of inter-annual temporal scale
Fig. 5. NODF nestedness of Chironomidae (Diptera) assemblages in streams of southern Brazil in the summer and winter of 2010, 2011 and 2012. (A) Each line represents a stream independent of intra- and inter-annual factor. (B, C, D) Dotted lines represent winter data and continuous lines represent summer data. In these graphs, the individual information for each stream was grouped to assess intra-annual nestedness.
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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.