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Figure 1 in Comparing the effectiveness of pitfall traps and active sampling methods for ants and spiders in a Chromolaena odorata invaded site
Figure 1. Individual-based rarefaction/extrapolation sampling curves representing ant (A) and spider (B) sampling size collected by both active and passive sampling strategies used at Buffelsdraai Conservancy [AHC = aerial hand collection above the knee; AHCCRYPTIC = aerial hand collection below the knee cryptic; AHCOBV = aerial hand collection below the knee noticeable or non-cryptic; BB = vegetation beating].
Figure 4 in Comparing the effectiveness of pitfall traps and active sampling methods for ants and spiders in a Chromolaena odorata invaded site
Figure 4. Non-metric Multi-Dimensional Scaling (NMDS) representing the similarity of ant (A) and spider (B) species sampled by active and passive sampling techniques. The count abundance was transformed using square root and the data was analysed using Bray-Curtis similarity to produce a two-dimensional plot with a stress level = 0.07 and = 0.01, respectively [AHC CRYPTIC = aerial hand collection below the knee cryptic; AHC OBV = aerial hand collection below the knee noticeable or non-cryptic; AHC = aerial hand collection above the knee; BB = vegetation beating].
Figure 3 in Comparing the effectiveness of pitfall traps and active sampling methods for ants and spiders in a Chromolaena odorata invaded site
Figure 3. Spider species richness collected using active and passive sampling techniques in Buffelsdraai Conservancy [AHC = aerial hand collection above the knee; AHC CRYPTIC = aerial hand collection below the knee cryptic; AHC OBV = aerial hand collection below the knee noticeable or non-cryptic; BB = vegetation beating].
Fig. 4 in Diel flight activity patterns of the red palm weevil (Coleoptera: Curculionidae) as monitored by smart traps
Fig. 4. Diel pattern for the mean total number of red palm weevils (RPW) captured per trap during the 62 d trapping period. Columns headed by the same letter are not significantly different from each other.
Fig. 3 in Diel flight activity patterns of the red palm weevil (Coleoptera: Curculionidae) as monitored by smart traps
Fig. 3. Mean temporal distributions of adult male (A), female (B), and total (C) red palm weevils captured in STs over the 24 h diel cycle. Each circle represents 4, 16, and 19 weevils in A, B, and C, respectively.
Fig. 4 in Trap design for lovebugs, Plecia nearctica (Diptera: Bibionidae)
Fig. 4. Linear regression describing attractive quotient (AQ) of the phenylacetaldehyde baited Unitraps for capturing lovebugs over time, when compared with equivalent paired unbaited traps in field tests in Okeechobee, Florida.
Fig. 2 in Trap design for lovebugs, Plecia nearctica (Diptera: Bibionidae)
Fig. 2. Commercial or modified insect traps baited with phenylacetaldehyde and assessed for lovebug attractiveness in 2013 field tests (see Table 1).
Fig. 3 in Trap design for lovebugs, Plecia nearctica (Diptera: Bibionidae)
Fig. 3. Better World funnel trap with collecting bucket painted white and with upper holes in entrance funnels visible (arrowed) (A); inside of Unitrap containing several thousand lovebugs (B).
Fig. 1. Sticky trap applied for catching Elaeidobius kamerunicus, pollinating weevils. The trap was 21.7 in Pollination activity of Elaeidobius kamerunicus (Coleoptera: Curculionoidea) on oil palm on Hainan island
Fig. 1. Sticky trap applied for catching Elaeidobius kamerunicus, pollinating weevils. The trap was 21.7 cm in diameter and 26.3 cm in height. It was folded into a cylinder surrounding an Elaeis guineensis inflorescence with the sticky gel–coated surface on the outside.
Fig. 1. Map showing all trapping sites from 2009 in Seasonal phenology of Sirex nigricornis (Hymenoptera: Siricidae) in Arkansas with implications for management of Sirex noctilio
Fig. 1. Map showing all trapping sites from 2009 to 2013 in Arkansas, USA. Legend indicates which sites were trapped during which years.
Fig. 1. A in Monitoring coffee berry borer, Hypothenemus hampei (Coleoptera: Curculionidae), populations with alcoholbaited funnel traps in coffee farms in Colombia
Fig. 1. A red funnel trap used to capture CBB (Hypothenemus hampei) (A) and the methanol–ethanol lure (3: 1 ratio) enclosed in a semi-permeable membrane (B). CBB were collected in a plastic container containing 200 mL of soapy water. Photo Alex. E. Bustillo.
Fig. 2 in Monitoring coffee berry borer, Hypothenemus hampei (Coleoptera: Curculionidae), populations with alcoholbaited funnel traps in coffee farms in Colombia
Fig. 2. Number of CBB (Hypothenemus hampei) captured per trap per month (mean ± SEM) and corresponding berry infestation (%) on large coffee farms (≥ 20 ha) in Risaralda, Caldas, Colombia (A), and on small coffee farms (≤ 3 ha) in Viterbo, Caldas, Colombia (B) in 2003-2004. Note differences in axis scales.
Fig. 1 in Halyomorpha halys (Hemiptera: Pentatomidae) response to pyramid traps baited with attractive light and pheromonal stimuli
Fig. 1. Standard black pyramid trap with PHER lure (A) and modified pyramid trap with narrow blue fluorescent light (B).
Fig. 1. Stink bug pheromone–baited trap with a in Stink bugs (Hemiptera: Pentatomidae) in pheromonebaited traps near crop field edges in Georgia, USA
Fig. 1. Stink bug pheromone–baited trap with a pyramid base (A) and a bamboo pole base (B) in peanut row. Distance between each trap treatment was 9 m.
Fig. 5 in Stink bugs (Hemiptera: Pentatomidae) in pheromonebaited traps near crop field edges in Georgia, USA
Fig. 5. Mean number of Chinavia hilaris individuals per sample in pheromonebaited traps near crop field edges and in crops in farmscapes over time in 2007, 2008, and 2009.
Fig. 3 in Stink bugs (Hemiptera: Pentatomidae) in pheromonebaited traps near crop field edges in Georgia, USA
Fig. 3. Mean number of Euschistus tristigmus individuals per sample in pheromone-baited traps near crop field edges and in crops in farmscapes over time in 2007, 2008, and 2009.
Fig. 4 in Stink bugs (Hemiptera: Pentatomidae) in pheromonebaited traps near crop field edges in Georgia, USA
Fig. 4. Mean number of Nezara viridula individuals per sample in pheromonebaited traps near crop field edges and in crops in farmscapes over time in 2007, 2008, and 2009.
Fig. 2 in Stink bugs (Hemiptera: Pentatomidae) in pheromonebaited traps near crop field edges in Georgia, USA
Fig. 2. Mean number of Euschistus servus individuals per sample in pheromone-baited traps near crop field edges and in crops in farmscapes over time in 2007, 2008, and 2009.
Fig. 2 in On the activity of two medium-sized canids: the Golden Jackal (Canis aureus) and the Red Fox (Vulpes vulpes) in the Natural Bark "Sinite Kamani" (Bulgaria) revealed by camera traps
Fig. 2. Number of all pictures of Red Fox (Vulpes vulpes) taken during 24h (expressed for one hour time interval) during seasons.
Fig. 4 in On the activity of two medium-sized canids: the Golden Jackal (Canis aureus) and the Red Fox (Vulpes vulpes) in the Natural Bark "Sinite Kamani" (Bulgaria) revealed by camera traps
Fig. 4. Daytime activity (feeding on dog food) of the Red Fox and the Golden Jackal registered by camera traps at the Sinite Kamani Natural Park.
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)
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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.