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.
9
datasets available to search
ShareScore release 0.7.1
Dataset results
9 results for “Poecile”
Data from: Black-capped chickadees (Poecile atricapillus) can identify individual females by their fee-bee songs
Open the record for dataset details and reuse information.
Data from: Postnatal dispersal and drivers of successful recruitment in resident Poecile gambeli(Mountain Chickadee)
Open the record for dataset details and reuse information.
Hubbard Brook site, station 10-hectare bird count plot at Hubbard Brook Experimental Forest, study of animal abundance of Poecile atricapillus (black-capped chickadee) in units of numberPer10Hectares on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains animal abundance of Poecile atricapillus (black-capped chickadee) measurements in numberPer10Hectares units and were aggregated to a yearly timescale.
Data from: Absence of population structure across elevational gradients despite large phenotypic variation in mountain chickadees (Poecile gambeli)
Open the record for dataset details and reuse information.
Data from: When east meets west: population structure of a high- latitude resident species, the boreal chickadee (Poecile hudsonicus)
Open the record for dataset details and reuse information.
Differences in oxidative stress across seasons and ability to cope with environmental mismatch in muscle and brain of black-capped chickadees (Poecile atricapillus) and rock pigeons (Columba livia)
Open the record for dataset details and reuse information.
Data from: The influence sampling design on species tree inference: a new relationship for the New World chickadees (Aves: Poecile)
In this study, we explore the long-standing issue of how many loci are needed to infer accurate phylogenetic relationships, and whether loci with particular attributes (i.e., parsimony informativeness, variability, gene tree resolution) outperform others. To do so, we use an empirical dataset consisting of the seven species of chickadees (Aves: Paridae), an analytically tractable, recently diverged group, and well studied ecologically but lacking a nuclear phylogeny. We estimate relationships using 40 nuclear loci and mitochondrial DNA using four coalescent-based species tree inference methods (BEST, *BEAST, STEM, STELLS). Collectively, our analyses contrast with previous studies and support a sister relationship between the Black-capped and Carolina Chickadee, two superficially similar species that hybridize along a long zone of contact. Gene flow is a potential source of conflict between nuclear and mitochondrial gene trees, yet, we find a significant, albeit low, signal of gene flow. Our results suggest that relatively few loci with high information content may be sufficient for estimating an accurate species tree, but that substantially more loci are necessary for accurate parameter estimation. We provide an empirical reference point for researchers designing sampling protocols with the purpose of inferring phylogenies and population parameters of closely related taxa.
Data from: The influence sampling design on species tree inference: a new relationship for the New World chickadees (Aves: Poecile)
Open the record for dataset details and reuse information.
Environmental drivers behind the genetic differentiation in mountain chickadees (Poecile gambeli)
<p>Trimmed ddRAD sequences (post adapter removal) and codes used for the analysis of the paper</p>
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.