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9 results for “window traps”

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zenodo40/100

Figure 3 in Research on Alleculinae (Coleoptera: Tenebrionidae: Alleculinae) in tugai forests of the Almaty region in Kazakhstan using window traps

Figure 3. Ashen Grove. Tugai forest with Elaeagnus angustifolia – typical habitat of Mycetochara flavipes occurrence. Photo by Hana Brinkeová.

opencc-by-4.0May 2016View details →
zenodo40/100

Figure 1 in Research on Alleculinae (Coleoptera: Tenebrionidae: Alleculinae) in tugai forests of the Almaty region in Kazakhstan using window traps

Figure 1. Shelek. Window trap on stem of Populus pruinosa in tugai forest – habitat of Steneryx dejeani occurrence. Photo by Oto Nakládal.

opencc-by-4.0May 2016View details →
edi40/100

Beetle community at Hubbard Brook sampled by window traps 1973-1977 and 2015-2017

Beetles were sampled using window traps at in the same locations within the Hubbard Brook Experimental Forest, New Hampshire, in 1973-1977 and again in 2015-2017. Samples were collected from late May through early August, but the number of weeks sampled differed among years. Most individuals collected were identified to the family level. For statistical analyses, counts by taxon for all samples were adjusted to a 48-hr collection period by simple linear interpolation. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station. These data have been published in Harris, J.E., Rodenhouse, N.L. and Holmes, R.T., 2019. Decline in beetle abundance and diversity in an intact temperate forest linked to climate warming. Biological Conservation, 240, p.108219.

openCC (other)Dec 2020View details →
zenodo36/100

Fig. 1 in An annotated list of the big-headed flies (Diptera: Pipunculidae) of Iran with notes on the material collected by window traps in Fars province

Fig. 1. Window traps at collection sites in Iran. A – Jahrom, Fars Province, trap 1

opencc-by-4.0Sep 2018View details →
zenodo36/100

Figure 2 in Research on Alleculinae (Coleoptera: Tenebrionidae: Alleculinae) in tugai forests of the Almaty region in Kazakhstan using window traps

Figure 2. Male of Mycetochara flavipes. Photo by Stanislav Krejčík.

opencc-by-4.0May 2016View details →
dryad32/100

Data from: Optimising sampling of flying insects using a modified window trap

Insect populations are globally declining but standardized long‐term data to evaluate trends and consequences are largely missing. One difficulty among many is the rather narrow taxonomic cover of most conventional trap types, which makes the use of several complementary collection methods necessary to achieve comprehensive coverage. To avoid the effort associated with operating multiple traps, we demonstrate how to modify window traps in a simple and standardizable way to capture a wider range of flying insect taxa. While a typical window trap only has a collection unit below the windows, we added an additional collection unit on top of the windows. We tested this modified trap design in 135 study plots in a temperate forest over 5 months and compared trap catches between top and bottom collection units. The top collection unit captured considerably more individuals of Hymenoptera, Diptera, Lepidoptera, Neuroptera, Auchenorrhyncha and Thysanoptera than the bottom collection unit. In contrast, there were more individuals of Coleoptera, Heteroptera, Sternorrhyncha and Psocoptera in the bottom collection unit. Both collection units captured a highly distinct insect community and patterns were consistent throughout the season. These modified traps are suitable for collecting a broader range of flying insects compared to conventional window traps. The additional top unit is fast and easy to build and the traps require little maintenance while operating in the field. These characteristics make modified window traps with top and bottom collection units a promising tool for standardized and replicable biodiversity studies covering a broad range of insect taxa.

opencc-zeroJul 2019View details →
dryad32/100

3D printing template for The Water-Exclusion Trap (WET): A 3D printable window trap collector that prevents DNA degradation

<p><span>3D templates of a long-term storable bottom collector for window or pitfall traps. The collection medium in a LEE trap barely evaporates and does not dilute because water is excluded, maximizing DNA preservation. Based on field-collected specimens and lab experiments, we confirm that the LEE significantly outperforms conventional traps in terms of DNA quality. </span></p>

opencc-zeroAug 2023View details →
dryad32/100

3D printing template for The Water-Exclusion Trap (WET): A 3D printable window trap collector that prevents DNA degradation

Open the record for dataset details and reuse information.

publicAug 2023View details →
dryad32/100

Data from: Optimising sampling of flying insects using a modified window trap

Open the record for dataset details and reuse information.

publicJul 2019View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record