Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
513
datasets available to search
ShareScore release 0.7.1
Dataset results
513 results for “Dragonflies”
Butterfly, Dragonfly and Damselfly Species at Harvard Forest 2015
I report on preliminary observations of butterflies in small meadows in the vicinity of “Harvard Farm” (formerly Petersham Country Club) in Petersham, MA, from 16-20 July 2015. I sampled butterflies at 10 locations over five days, visiting some areas twice. I documented (with digital photography) a total of 17 recognizable species/morpho-species, as well as 2-8 additional “grass skippers” which could not be identified to species. Initially I had planned to conduct a more organized survey, but most of the property had been grazed by the time I arrived in mid-July. This, combined with the late start date, meant that flowers – and nearly all butterflies – were absent at the Harvard Farm property during my visit. Instead, I opted to opportunistically sample several un-grazed meadows in the Petersham area, including North Common Meadow near the center of town and small meadows on Harvard Forest property, to develop a species list and photographic database of as many local butterflies as possible. From these surveys, the most numerous species were clouded/orange sulfur (Colias spp.; 34 individuals observed), followed by great spangled fritillary (Speyeria cybele; n = 32) and unidentified grass-skippers (various genera; n = 32). Moderately common species (n = 8-12) included Common wood-nymph (Cercyonis pegala), American copper (Lycaena phlaeas) and cabbage white (Pieris rapae); fewer than 4 individuals were recorded of: black/spicebush swallowtail (Papilio sp.), banded hairstreak (Satyrium calanus), gray hairstreak (Strymon melinus), azure (Celastrina ladon), eastern tailed-blue (Everes comyntas), pearl crescent (Phycioides tharos), eastern comma (Polygonia comma), Appalachian brown (Satyodes appalachia), northern pearly-eye (Enodia anthedon), and silver-spotted skipper (Epargyreus claras). These observations should be taken as preliminary, but may serve as a list of the most common and conspicuous butterfly taxa during mid-summer in the Petersham area, and could inform st
Schoolyard ecology at North Temperate Lakes LTER: Dragonfly Species Presence at Stormwater Retention Ponds in July of 2014
This study aims to integrate scientific observations with community involvement, specifically with dragonfly species. The presence and absence of 17 dragonfly species was observed at Stormwater Retention ponds in the Madison area in July of 2014 and made into frequency distributions. This research will continue with community outreach in the area to further involve and educate the community on the biodiversity of their local ponds.
Dragonfly and Damselfly populations on Nantucket Island
<p>Report and data submitted in fulfillment of a 2012 Nantucket Biodiversity Initiative grant.</p> <p>The first comprehensive survey of Odonates (dragonflies and damselflies) on Nantucket Island occurred in 1917. Four species were added to this list by 1930. In 2012, we surveyed several ponds bi-weekly for adults and larval skins to update the species list and provide records of relative abundance. We found six species of dragonflies that have colonized the island since 1930 and added two species to the island list that are migratory or irruptive. The damselflies are more complicated because of difficult or questionable identification, but there are certainly five species new to the Nantucket list and two species that have likely been extirpated since 1930.</p> <p>Files:</p> <p>allSurveyData.csv - survey for adults<br> Blyth-and-LoPresti-2013.pdf - the report itself<br> comparativeSpeciesList.csv - comparing this study data to past studies<br> dataDictionary.csv<br> keyedExuviae.csv - exuviae collected at ponds</p>
Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing (code, data and scripts to reproduce paper results)
<p>This repository contains the data, code, and scripts required to reproduce the results of the paper "Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing" by Daniele De Sensi, Salvatore Di Girolamo and Torsten Hoefler, presented at the 2019 International Conference for High Performance Computing, Networking, Storage, and Analysis. </p> <p>This repository does not contains the code of the library used to automatically tune the routing algorithm, which can be found at http://doi.org/10.5281/zenodo.3372785</p>
Northeastern TIME Lakes Dragonfly Mercury and supporting lake geochemistry
We sampled lake water and dragonfly larvae in 74 northeastern US lakes (TIME, or Temporally Integrated Monitoring of Ecosystems, lakes) that are part of the US EPA Long-Term Monitoring Network. The lakes are a statistical population of acid-sensitive lakes, a subset of US EPA EMAP lakes originally sampled in the early 1990s (Stoddard et al. 1996). The TIME lakes are 45 lakes in New York, 43 of which are in the Adirondacks, plus 29 lakes in New England. All lakes were sampled in a late-summer index period during 2012; lake water samples were collected manually from the epilimnion via boat, and dragonfly larvae were collected near shore using dip nets. Major ions, acid-base chemistry, total mercury and methylmercury in lake water, and total mercury and methylmercury in dragonfly larvae were analyzed. GIS analysis of lake watersheds and integration of selected EMAP-derived characteristics provides landscape and some morphometry variables for each lake. Additional annual geochemistry data for the lakes beginning in 1992 (with EMAP sampling) and ending in 2016 are available through US EPA.
supplement1 Dragonflies and insecticides
<p>Supplement to deliverable 2.4 "Dragonflies and insecticides" of ACTION, DOI:10.5281/zenodo.5913005. </p> <p>This file contains data on measurements of insecticides and dragonfly counts. </p>
Figure 2 in New Cenozoic dragonflies from the Most Basin and Středohoří Complex volcanic area (Czech Republic, Germany)
Figure 2. Aeshna zlatkokvaceki sp. nov. (Aeshnidae) (A) Photograph of holotype specimen SMMG CsT 1091 (Senckenberg Naturhistorische Sammlungen Dresden coll., Germany), imprint only; (B) line drawing of fore wing. Scale bars represent 5 mm.
A list of collection codes and corresponding BOLD numbers to sixty new dragonfly and damselfly species from Africa
<p>These files contain the data and accession numbers used in the following publication:</p> <p>Dijkstra, Klaas-Douwe B. et al.. (2015). Sixty new dragonfly and damselfly species from Africa (Odonata). Odonatologica 44(4): 447-678. doi:10.5281/zenodo.35388</p> <p>Contents</p> <p>- Lab (BOLD numbers)<br /> - Vouchers<br /> - Taxonomy<br /> - Specimen details<br /> - CollectionData</p> <p> </p> <p>uploaded for Odonatologica by Plazi</p>
Fig. 1 in The first fossil representative of the extant clubtail dragonfly genus Lindenia from the mid-Miocene of Öhningen, Germany
Fig. 1. Clubtail dragonfly Lindenia heeri sp. nov., holotype, ETH S.N. 228 from Upper Öhningen beds Member, mid-Miocene. Forewing photographed under standard light (A1) and UV light (A2).
Annual occupancy estimates for butterflies, grasshoppers and dragonflies in Bavaria (Germany), 1980-2019
<p>Recent climate and land-use changes are having substantial impacts on biodiversity, including population declines, range shifts, and changes in community composition. However, few studies have compared these impacts among multiple taxa, particularly because of a lack of standardized time series data over long periods. Existing datasets are typically of low resolution or poor coverage, both spatially and temporally, thereby limiting the inferences that can be drawn from such studies. Here, we compare climate and land-use driven occupancy changes in butterflies, grasshoppers, and dragonflies using an extensive dataset of highly heterogeneous observation data collected in the central European region of Bavaria (Germany) over a 40-year period. Using occupancy models, we find occupancies (the proportion of sites occupied by a species in each year) of 37% of species have decreased, 30% have increased and 33% showed no significant trend. Butterflies and grasshoppers show strongest declines with 41% of species each. By contrast, 52% of dragonfly species increased. Temperature preference and habitat specificity appear as significant drivers of species trends. We show that cold-adapted species across all taxa have declined, while warm-adapted species have increased. In butterflies, habitat specialists have decreased, while generalists increased or remained stable. The trends of habitat generalists and specialists both in grasshoppers and semi-aquatic dragonflies however did not differ. Our findings indicate strong and consistent effects of climate warming across insect taxa. The decrease of butterfly specialists could hint towards a threat from land-use change, as especially butterfly specialists' occurrence depends mostly on habitat quality and area. Our study not only illustrates how these taxa showed differing trends in the past, but also provides hints on how we might mitigate the detrimental effects of human development on their diversity in the future.</p>
Occurrences and R code for: Dynamic distribution modeling of the Swamp Tigertail dragonfly Synthemis eustalacta (Odonata: Anisoptera: Synthemistidae) over a 20-year bushfire regime
<p>Intensity and severity of bushfires in Australia have increased over the past few decades due to climate change, threatening habitat loss for numerous species. Although the impact of bushfires on vertebrates is well-documented, the corresponding effects on insect taxa are rarely examined, although they are responsible for key ecosystem functions and services. Understanding the effects of bushfire seasons on insect distributions could elucidate long-term impacts and patterns of ecosystem recovery. Here, we investigated the effects of recent bushfires, land-cover change, and climatic variables on the distribution of a common and endemic dragonfly, the swamp tigertail (<em>Synthemis</em> <em>eustalacta</em> (Burmeister, 1839)), which inhabits forests that have recently undergone severe burning. We used a temporally dynamic species distribution modeling approach that incorporated 20 years of community-science data on dragonfly occurrence and predictors based on fire, land cover, and climate to make yearly predictions of suitability. We also compared this to an approach that combines multiple temporally static models that use annual data. We found that for both approaches, fire-specific variables had negligible importance for the models, while percent of tree and non-vegetative cover were the most important. We also found that the dynamic model outperformed the static ones when evaluated with cross-validation. Model predictions indicated temporal variation in area and spatial arrangement of suitable habitat but no patterns of habitat expansion, contraction, or shifting. These results highlight not only the efficacy of dynamic modeling to capture spatiotemporal variables, such as vegetation cover for an endemic insect species, but also provide a novel approach to mapping species distributions with sparse locality records.</p>
Figs 82-94 in Australian Dragonfly (Odonata) Larvae: Descriptive history and identification
Figs 82-94. Larvae of Australian Odonata: (82) Synlestes weyersii (Synlestidae); (83) Griseargiolestes intermedius (Argiolestidae); (84) Xanthagrion erythroneurum (Coenagrionidae); (85, 86) Aeshnidae: (85) Anax papuensis; (86) Notoaeschna sagittata; (87- 90) Gomphidae: (87) Ictinogiomphus australis; (88) Antipodogomphus acolythus; (89) Austroepigomphus (Xerogomphus) turneri; (90) Hemigomphus heteroclytus; (91) Eusynthemis virgula (Synthemistidae); (92, 93) Libellulidae: (92) Nannophya dalei; (93) Orthetrum caledonicum; (94) Pseudocordulia sp. (Libelluloidea genera incertae sedis).
Figs 37-48 in Australian Dragonfly (Odonata) Larvae: Descriptive history and identification
Figs 37-48. Final instar larvae of Australian Anisoptera: (37-44) Synthemistidae (with insert of frontal plate): (37) Archaeosynthemis leachii; (38) Austrosynthemis cyanitincta; (39) Choristhemis flavoterminata; (40) Eusynthemis ursula; (41) Parasynthemis regina; (42) Synthemiopsis gomphomacromioides; (43) Synthemis eustalacta; (44) Tonyosynthemis claviculata; (45) Macromia tillyardi (Macromiidae); (46-48) Corduliidae: (46) Hemicordulia tau; (47) Pentathemis mebranulata; (48) Procordulia jacksoniensis.
Figs 73-81 in Australian Dragonfly (Odonata) Larvae: Descriptive history and identification
Figs 73-81. Final instar larvae of Australian Libelluloidea of genera incertae sedis: (73) Archaeophya adamsi; (74) Cordulephya pygmaea; (75) Apocordulia macrops; (76) Austrocordulia leonardi; (77) Austrophya mystica; (78)?Austrophya sp.; (79) Hesperocordulia berthoudi; (80) Lathrocordulia metallica; (81) Micromidia convergens.
Figs 13-24 in Australian Dragonfly (Odonata) Larvae: Descriptive history and identification
Figs 13-24. Final instar larvae/exuviae of Australian Anisoptera: (13, 14) Austropetaliidae: (13) Archipetalia auriculata; (14) Austropetalia patricia; (15-23) Aeshnidae: (15) Adversaeschna brevistyla; (16) Anax gibbosulus; (17) Austrogynacantha heterogena; (18) Dendroaeschna conspersa; (19) Acanthaeschna victoria; (20) Austroaeschna (Pulchaeschna) muelleri; (21) Austrophlebia costalis; (22) Spinaeschna tripunctata; (23) Telephlebia brevicauda; 24) Petalura hesperia (Petaluridae).
Map 1 in Australian Dragonfly (Odonata) Larvae: Descriptive history and identification
Map 1. The regions of Australia referred to in text and table (from Watson et al. (1991). SWA = south-western Australia; SES = south-eastern South Australia; VIC = Victoria; TAS = Tasmania; SEN = south-eastern New South Wales; NEN = north-eastern New South Wales; SEQ = south-eastern Queensland; NEQ = north-eastern Queensland; CY = Cape York Peninsula; NNT = top end of Northern Territory; KIM = Kimberley region; NWA = north-western Australia; IN = inland New South Wales; SIQ = southern inland Queensland; NIQ = northern inland Queensland; IA = inland Australia.
Figs 1-12 in Australian Dragonfly (Odonata) Larvae: Descriptive history and identification
Figs 1-12. Final instar larvae of Australian Zygoptera: (1) Hemiphlebia mirabilis (Hemiphlebiidae); (2) Synlestes weyersii (Synlestidae); (3) Austrolestes annulosus (Lestidae); (4) Diphlebia euphoeoides (Lestoideidae); (5-8) Argiolestidae: (5) Archiargiolestes parvulus; (6) Austroargiolestes icteromelas; (7) Griseargiolestes griseus; (8) Miniargiolestes minimus; (9) Austrosticta soror (Isostictidae); (10) Nososticta pilbara (Platycnemididae); (11, 12) Coenagrionidae: (11) Caliagrion billinghursti; (12) Ischnura heterosticta.
Figs 61-72 in Australian Dragonfly (Odonata) Larvae: Descriptive history and identification
Figs 61-72. Final instar larvae of Australian Libellulidae: (61) Nannophya sp. (from Barcaldine); (62) Neurothemis stigmatizans; (63) Orthetrum caledonicum; (64) Pantala flavescens; (65) Potamarcha congener; (66) Rhodothemis lieftincki; (67) Rhyothemis princeps; (68) Tetrathemis irregularis; (69) Tholymis tillarga; (70) Tramea stenoloba; (71) Urothemis aliena; (72) Zyxomma elgneri.
Figure 95 in Australian Dragonfly (Odonata) Larvae: Descriptive history and identification
Figure 95. Accumulation curve illustrating the increase in descriptive information for Australian odonate larvae between 1880 and 2014.
Figs 49-60 in Australian Dragonfly (Odonata) Larvae: Descriptive history and identification
Figs 49-60. Final instar larvae of Australian Libellulidae: (49) Aethriamanta nymphaeae; (50) Agrionoptera longitudinalis; (51) Austrothemis nigrescens; (52) Brachydiplax denticauda; (53) Camacinia gigantea; (54) Crocothemis nigrifrons; (55) Diplacodes haematodes; (56) Huonia melvillensis; (57) Hydrobasisleus brevistylus; (58) Macrodiplax cora; (59) Nannodiplax rubra; (60) Nannophlebia risi.
ScienceDex guides
Understand access before you commit
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.