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12 results for “Streetlight”

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zenodo40/100

Fig. 1 in Streetlights attract a broad array of beetle species

Fig. 1. Boxplots of beetle collections in each trap (each record here is a night of collection). These are standard boxplots, with whiskers representing the more extreme values within 1.5 inter-quartile range away from each quartile. For phylogenetic diversity, we superimpose 100 boxplots obtained from different random phylogenetic trees, to highlight the sensitivity of results to phylogenetic uncertainty. Phylogenetic uncertainty has little impact on the results.

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

Fig. 2. Correlations between diversity and abundance across collections. Each record represents a in Streetlights attract a broad array of beetle species

Fig. 2. Correlations between diversity and abundance across collections. Each record represents a night of collection in a given trap. Colors represent traps, with color code being the same as in Figs. 1, 3 and 4. Line represents the regression line between the two variables with intercept forced to 0.

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

Fig. 4 in Streetlights attract a broad array of beetle species

Fig. 4. Preferences estimated by LDA. Boxes enclose graphs associated with preference classes estimated by LDA, numbered as 1–3. Each pie chart indicates the posterior probability of preference for each trap for a given preference class (e.g. preference class 1 includes individuals exclusively attracted to Hg). Underneath each pie chart, bars indicate the number of species with>0.5 posterior probability of being associated with the corresponding preference class, binned by higher taxon.

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

Fig. 3. Rarefaction curves. Solid lines indicate mean and dashed lines indicate 95 in Streetlights attract a broad array of beetle species

Fig. 3. Rarefaction curves. Solid lines indicate mean and dashed lines indicate 95% confidence intervals. Inset shows the full curves for Hg and Na.

opencc-by-4.0Dec 2016View details →
dryad40/100

Data from: Skyglow and especially direct streetlight pollution alter moth communities

Open the record for dataset details and reuse information.

publicApr 2025View details →
zenodo36/100

Supplementary material for the publication: J. D. Nixon, K. Bhargava and E. Gaura, Analysis of standalone solar streetlights for improved energy access in displaced settlements, 2020.

<p>The dataset deposited here was prepared under&nbsp;the EPSRC-funded&nbsp;<a href="http://heed-refugee.coventry.ac.uk/">Humanitarian Engineering and Energy for Displacement</a>&nbsp;research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people.</p> <p>As part of the project, we deployed 11 advanced solar streetlights, with additional energy access provided by ground-level AC sockets, at two project sites:&nbsp;Gihembe refugee camp, Rwanda (4 lights) and Uttargaya settlement, Nepal (7 lights), in July 2019. The aim of this study was to (a) identify best practices in the construction, location and security measures for long-lived street lighting (b) understand how communities would use a shared energy resource when available through energy sockets, auxiliary to the main function of the streetlights.</p> <p>The system data used for the performance analysis for this study (July 2019 and March 2020) is deposited here along with the metadata. The results from analysis are presented in a paper titled &#39;<strong>Analysis of standalone solar streetlights for improved energy access in displaced settlements</strong>&#39; (currently under review). The scripts for analysis can be found at our Github account <a href="https://github.com/cogent-computing">Cogent Labs</a>&nbsp;under HEED_Nepal_SL and HEED_Rwanda_SL repositories.</p>

opencc-by-4.0Jul 2020View details →
zenodo36/100

Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques

<p>This dataset consists of ~350k JPEG images of streetlight columns installed on a public road infrastructure located in the city of Bristol, UK.</p> <p>Each streetlight is photographed by a Raspberry Pi Camera Module&nbsp;v1, installed on each lamppost, providing a unique camera placement, photographic angle, and distance from the streetlight. Several streetlights are partially obstructed by vegetation or are outside the Field of View (FoV) of the Raspberry Pi camera. Finally, the cameras facing the sky are susceptible to weather conditions (e.g., rain, snow, direct sunlight, etc.) that can partially or entirely alter the quality of the images taken.</p> <p>The above provides a unique and diverse dataset of images that can be used for training tools and machine learning models for inspection, monitoring and maintenance use-cases within Smart Cities applications.</p>

opencc-by-4.0Mar 2022View details →
zenodo36/100

NYC Park Streetlight,

Riverside Park UWS Streetlight, optimized and clean mesh. Might want to take a look at texturing and UV. Its not great. Source: Objaverse 1.0 / Sketchfab

opencc-byJun 2022View details →
dryad36/100

Female moths call in vain: Streetlights diminish the promise of mating

Open the record for dataset details and reuse information.

publicMar 2025View details →
dryad36/100

Data from: Shedding light with harmonic radar: Unveiling the hidden impacts of streetlights on moth flight behavior

Open the record for dataset details and reuse information.

publicSep 2024View details →
geo24/100

Searching beyond the streetlight: neonicotinoid exposure alters the neurogenomic state of worker honey bees 

GEO Series GSE178742. Apis mellifera. 79 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2022View details →
zenodo24/100

Crooked Streetlight

Ancient comic "streetlantern", insuflated with a breath of life in a crooked steampunk spirit. Non animated version. No dance, no particles. WiP Source: Objaverse 1.0 / Sketchfab

opencc-byAug 2019View details →

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Allen Brain Atlas

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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.

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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.

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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