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9
datasets available to search
ShareScore release 0.9.0
Dataset results
9 results for “building types”
Sample locations of building types in Osaka-Kobe City-region
<p>Geopackage containing 100 sample locations for 12 different building types within the Osaka-Kobe City-region (total of 1200 samples for 2013-14). Data related to the following journal paper "<strong>Shrinkage and Morphological Change: A Study of Building Type Evolution in the Osaka-Kobe City-region in Japan</strong>"</p>
Data and code for: Building use-inspired species distribution models: using multiple data types to examine and improve model performance
<p>Species distribution models (SDMs) are becoming an important tool for marine conservation and management. Yet while there is an increasing diversity and volume of marine biodiversity data for training SDMs, little practical guidance is available on how to leverage distinct data types to build robust models. We explored the effect of different data types on the fit, performance and predictive ability of SDMs by comparing models trained with four data types for a heavily exploited pelagic fish, the blue shark (<em>Prionace</em> <em>glauca</em>), in the Northwest Atlantic: two fishery-dependent (conventional mark-recapture tags, fisheries observer records) and two fishery-independent (satellite-linked electronic tags, pop-up archival tags). We found that all four data types can result in robust models, but differences among spatial predictions highlighted the need to consider ecological realism in model selection and interpretation regardless of data type. Differences among models were primarily attributed to biases in how each data type, and the associated representation of absences, sampled the environment and summarized the resulting species distributions. Outputs from model ensembles and a model trained on all pooled data both proved effective for combining inferences across data types and provided more ecologically realistic predictions than individual models. Our results provide valuable guidance for practitioners developing SDMs. With increasing access to diverse data sources, future work should further develop truly integrative modeling approaches that can explicitly leverage strengths of individual data types while statistically accounting for limitations, such as sampling biases. </p>
Data and code for: Building use-inspired species distribution models: using multiple data types to examine and improve model performance
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Data from: Recovery from bleaching is mediated by threshold densities of background thermo-tolerant symbiont types in a reef-building coral
Sensitive molecular analyses show that most corals host a complement of Symbiodinium genotypes that includes thermo-tolerant types in low abundance. While tolerant symbiont types are hypothesized to facilitate tolerance to temperature and recovery from bleaching, empirical data on their distribution and relative abundance in corals under ambient and stress conditions are still rare. We quantified visual bleaching and mortality of coral hosts, along with relative abundance of C- and D-type Symbiodinium cells in 82 Acropora millepora colonies from three locations on the Great Barrier Reef transplanted to a central inshore site over a 13 month period. Our analyses reveal dynamic change in symbiont associations within colonies and among populations over time. Coral bleaching and declines in C- but not D-type symbionts were observed in transplanted corals. Survival and recovery of 25% of corals from one population was associated with either initial D-dominance or an increase in D-type symbionts that could be predicted by a minimum pre-stress D : C ratio of 0.003. One-third of corals from this population became D dominated at the bleached stage despite no initial detection of this symbiont type, but failed to recover and died in mid to late summer. These results provide a predictive threshold minimum density of background D-type symbionts in A. millepora, above which survival following extreme thermal stress is increased.
Building an eDNA surveillance toolkit for invasive rodents on islands: Can we detect wild-type and gene drive Mus musculus?
<p>R code, data, and qPCR efficiencies for experiments related to this paper.</p>
Data from: Recovery from bleaching is mediated by threshold densities of background thermo-tolerant symbiont types in a reef-building coral
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Training dataset for land type detection on Sentinel-2 images (annotations: build-up, rural, forest, water)
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BEAD-T1D: Building the Evidence to Address Disengagement in Type 1 Diabetes
ClinicalTrials.gov study NCT05488119. IPD Sharing: NO. Countries: 1. Publications: 0.
Building and Sustaining Exercise Habits for Adults With Type 1 Diabetes
ClinicalTrials.gov study NCT06967701. IPD Sharing: YES. Countries: 1. Publications: 0.
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.