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.
2,121
datasets available to search
ShareScore release 0.9.0
Dataset results
2,121 results for “trapping”
Fig. 1 in Effect of the height and distribution pattern of pheromone-baited traps on the capture of Scyphophorus acupunctatus (Coleoptera: Dryophthoridae) on blue agave (Asparagales: Asparagaceae)
Fig. 1. Distribution and arrangement of traps in the experiment of distribution pattern of traps, using 4 treatments: 1) traps placed in a triangle pattern with an inter-trap distance of 100 m; 2) traps placed a square with an inter-trap distance of 100 m; 3) traps placed in a triangle with an inter-trap distance of 200 m; and 4) traps placed in a square with an inter-trap distance of 200 m.
Fig. 1 in A preliminary camera trapping study of mammals of Monti Lepini (Central Italy)
Fig. 1 - Geographical location of the Lepini Mountains area and positions of the camera traps (the different colours group the two arrays of cameras). / Collocazione geografica dei Monti Lepini e schema di posizionamento delle fototrappole (i colori differenti sono per le due disposizioni consecutive di ogni sessione).
Fig. 1 in Records of Four Xiphydriidae (Hymenoptera) Collected in Traps in Japan, with Notes on Xiphydria melanoptera
Fig. 1. Apical part of abdomen, lateral view, Xiphydria melanoptera (A–C) and X. kastsheevi (D).—A, Holotype, reproduced from Shinohara et al., 2020, laterally reversed; B, C, specimens from Nakasatsunai; D, holotype, reproduced from Ermolenko (1979).
Fig. 2 in A New Measure Of Conservation Value Combining Rarity And Ecological Diversity: A Case Study With Light Trap Collected Caddisflies (Insecta: Trichoptera)
Fig. 2. The Rarity and Ecological Diversity (RED)-index of the different aquatic habitats (aquatic habitats with the same letter are not significantly different at p = 0.05 by non-parametric Tukey-test)
Fig. 1 in A New Measure Of Conservation Value Combining Rarity And Ecological Diversity: A Case Study With Light Trap Collected Caddisflies (Insecta: Trichoptera)
Fig. 1. The map of Hungary with the position of the sampling sites (filled squares show light traps)
Fig. 3 in A New Measure Of Conservation Value Combining Rarity And Ecological Diversity: A Case Study With Light Trap Collected Caddisflies (Insecta: Trichoptera)
Fig. 3. The diversity (A) and RAR-index (B) of the different aquatic habitats (aquatic habitats with the same letter are not significantly different at p = 0.05 by non-parametric Tukey-test)
Fig. 2 in Long-Term Light Trap Study On The Macro-Moth (Lepidoptera: Macroheterocera) Fauna Of The Aggtelek National Park
Fig. 2. Activity curves. (A) Changes of the number of species, and (B) specimens in 2003. Catches were summed up on every second day, and box diagrams were based on 5 data items. The curves
Fig. 1 in Long-Term Light Trap Study On The Macro-Moth (Lepidoptera: Macroheterocera) Fauna Of The Aggtelek National Park
Fig. 1. Species constancy of the macro-moth's (Lepidoptera: Macroheterocera) at the Aggtelek National Park based on a light trap operated at the southern slope of the Tohonya-valley. The graph
Fig. 3 in Glass Buildings As Bird Feeders: Urban Birds Exploit Insects Trapped By Polarized Light Pollution
Fig. 3. Timing of foraging visits of European magpie (Pica pica) to the northern building of the Eötvös University as detected by a web camera from 17:00 h on 16 May to 20:00 h on 23 May in 2007. Arrow lengths represent the proportion of all visits made during a particular hour over the
Fig. 2 in Glass Buildings As Bird Feeders: Urban Birds Exploit Insects Trapped By Polarized Light Pollution
Fig. 2. (A) Hovering white wagtail (Motacilla alba) catching caddis flies from a window. (B) House sparrow (Passer domesticus) capturing caddis flies from a vertical glass surface. (C) Great tit (Parus major) standing on a window's edge and catching caddis flies. (D) European magpie (Pica pica) on
Fig. 1 in Glass Buildings As Bird Feeders: Urban Birds Exploit Insects Trapped By Polarized Light Pollution
Fig. 1. (A) The southern (left arrow) and northern (right arrow) building of the Faculty of Natural Sciences of the Eötvös University in Budapest seen from the river Danube. (B) Mass-swarming caddis flies (Hydropsyche pellucidula, white dots) at the vertical glass surfaces of the northern building. (C) "Well-laid table" for urban birds: caddis fly imagoes (black dots) landed on white (untinted) and black (tinted) vertical glass surfaces. (D) An adult caddis fly landed on the outside surface of a window photographed from outside. (E) A copulating caddis fly pair on the outside surface of a window
Figure 2 in Efficiency of colored modified box traps for sampling of tabanids
Figure 2. Location and position of modified box traps on the experimental field in Monjoroš Forest (first set of traps: 1 – black, 2 – brown, 3 – bordeaux, 4 – light violet, 5 – green, 6 – blue, 7 – red, 8 – yellow, 9 – orange, 10 – white; the second set was constructed by mirror symmetry along a line connecting traps 5 and 6).
Fig.1. Funnel trap for gathering living RESULTS AND DISCUSSION D.latissimus a in Conceptual Application Of Dytiscus Latissimus Linnaeus, 1758 (Dytiscidae, Coleoptera) Gathering Methods In Natural Habitat
Fig.1. Funnel trap for gathering living RESULTS AND DISCUSSION D.latissimus a result of the individual (from Jan G.M. Cuppen and other): As many years application of the material gathering methods was 1 – float; 2- rubber; 3 – aeration net; a possibility to catch on regular and predictable 4 – entrance Ø 30 mm. basis a required number of animals for our laboratory research. itself. This can be identified from locating specific cuts on it. (Vahrusevs 2009) The key to a successful egg collection is a search of the plants used by beetles during their Below is an example from field notes of catching reproduction period, as well as the correct beetles during the autumn season: locating of clutches. Such plants in our reservoir "The research on the reservoir was done during under study are Carex acuta, Carex rostrata, 11.10.2009 - 28.10.2009. Caltha palustris. One has to identify suitable plants in the locations of beetles' clutches The weather conditions were favourable. It was (usually located on the sunny side along the quite warm and windless all this time in order to coast of a water reservoir). The person gathering work comfortably. Water temperature was +7-8 ŗ the material has to grasp with fingers the C. We worked as usual on the proven location. underwater part of the identified plant stem Coordinates in Google Earth (latitude 55 ° 52'33 reaching almost to its base, and slowly palpate it.95 "C; longitude 26 ° 35'18.78" H). by letting it through the fingers in the upwards direction. The upwards direction is imperative, We prepared the traps in advance (they had to as stems of many sedge plants have microscopic be repaired and mended, and modernized a little. thorns which are rooting upwards. If this method (Fig.2.). is not followed, an injury of a palm can occur. A stem of the plant which has protruding bumps We took along 21 trap to the water reservoir. The on it guarantees the presence of a clutch. A stem bait was pieces of beef heart. The traps were in its normal condition is usually smooth and placed along the coastline. The first "throw" was often flat. Such plants as Caltha palustris which kept in the water for almost a week with regular have fleshy stem are to be studied in addition check ups made every day or every second day. visually as eggs can be located inside the stem Traps were installed partly dipped under water.
Рис. 1. Вероятность обнаружения меченых животных (среΑнее ± ошибка) при пяти- и Αесятиметровых интерваΛах межΑу прикормочными станциями в Αвух экспериментах. По второму эксперименту расчеты сΑеΛаны ΑΛя резуΛьтатов отΛова в течение первых трех и поΛных Αесяти Αней. Значение «p» отражает уровень статистической значимости разΛичий межΑу ΑоΛями животных с меткой при Αвух интерваΛах Fig. 1. Probability of finding marked animals (average±standard error) between feeding stations placed at intervals of five and ten meters in the two experiments. In the second experiment, calculations were made for the results of trapping during the first three days and during the whole period of ten days. The p value reflects the statistical significance of differences between the fractions of animals with a mark for two types of intervals in Verification of the bottle-based method for estimating abundance of small mammals using biomarkers
Рис. 1. Вероятность обнаружения меченых животных (среΑнее ± ошибка) при пяти- и Αесятиметровых интерваΛах межΑу прикормочными станциями в Αвух экспериментах. По второму эксперименту расчеты сΑеΛаны ΑΛя резуΛьтатов отΛова в течение первых трех и поΛных Αесяти Αней. Значение «p» отражает уровень статистической значимости разΛичий межΑу ΑоΛями животных с меткой при Αвух интерваΛах Fig. 1. Probability of finding marked animals (average±standard error) between feeding stations placed at intervals of five and ten meters in the two experiments. In the second experiment, calculations were made for the results of trapping during the first three days and during the whole period of ten days. The p value reflects the statistical significance of differences between the fractions of animals with a mark for two types of intervals
FIGURE 3 in Trap-nesting bees and wasps (Hymenoptera, Aculeata) in a Semidecidual Seasonal Forest fragment, southern Brazil
FIGURE 3: Phenology of most common trap-nesting Aculeata in Parque Estadual São Camilo (Palotina, Paraná), (A) from September 2014 to March 2014, (B) from October 2014 to March 2015.
FIGURE 2 in Trap-nesting bees and wasps (Hymenoptera, Aculeata) in a Semidecidual Seasonal Forest fragment, southern Brazil
FIGURE 2: Trap nests in Parque Estadual São Camilo (Palotina, Paraná), (A) Centris analis, (B) Megachile susurrans, (C) Monobia angulosa, (D) Pachodynerus grandis, (E) Pachodynerus guadulpensis, (F) Zethus smithii. Scale bars: 1 cm.
Fig. 3 in Captures of Stenoma catenifer (Lepidoptera: Depressariidae) are influenced by pheromone trap density in Hass avocado orchards
Fig. 3. Mean cumulative number by treatment of Stenoma catenifer (IC95) caught in traps baited with synthetic sex pheromones at different trap densities in Hass avocado orchards, Colima, Mexico, during the experiment in 2018. Means with the same lowercase letter are not significantly different from each other according to Tukey's test (X0.05). 1T2h = 0.5 traps per ha; 1Th = 1 trap per ha; 2Th = 2 traps per ha; 3Th = 3 traps per ha.
Fig. 5 in Captures of Stenoma catenifer (Lepidoptera: Depressariidae) are influenced by pheromone trap density in Hass avocado orchards
Fig. 5. Relationship between total number of Stenoma catenifer caught in different treatments in 4 Hass avocado orchards in Colima, Mexico, 2018. 1T2h = 0.5 traps per ha; 1Th = 1 trap per ha; 2Th = 2 traps per ha; 3Th = 3 traps per ha.
Fig. 2 in Captures of Stenoma catenifer (Lepidoptera: Depressariidae) are influenced by pheromone trap density in Hass avocado orchards
Fig. 2. Number of Stenoma catenifer caught in synthetic sex pheromone traps placed at different densities (1 T2h, 1Th, 2Th, and 3Th: treatments, number of traps per area) and in different Hass avocado orchards (1–4 of the Y right axis) in the municipalities of Comala and Cuauhtémoc, Colima, Mexico, 2018. The columns correspond to treatments and the rows to experimental orchards. 1T2h = 0.5 traps per ha; 1Th = 1 trap per ha; 2Th = 2 traps per ha; 3Th = 3 traps per ha.
Fig. 4 in Captures of Stenoma catenifer (Lepidoptera: Depressariidae) are influenced by pheromone trap density in Hass avocado orchards
Fig. 4. Nonparametric bootstrap sampling distribution of the total numbers of Stenoma catenifer caught in experimental plots (CI95%) (1–4) in the linear model of the different orchards. The black dot on each line indicates the mean value of the total for each of the treatments. 1T2h = 0.5 traps per ha; 1Th = 1 trap per ha; 2Th = 2 traps per ha; 3Th = 3 traps per ha.
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.