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.
23
datasets available to search
ShareScore release 0.9.0
Dataset results
23 results for “Gaura”
Shortgrass Steppe site, station Treatment 4 (grubs killed) for ESA study, study of plant density of Gaura coccinea in units of numberPerMeterSquared 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 Shortgrass Steppe (SGS) contains plant density of Gaura coccinea measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Figure 1 from: Wagner W, Krakos K, Hoch P (2013) Taxonomic changes in Oenothera sections Gaura and Calylophus (Onagraceae). PhytoKeys 28: 61-72. https://doi.org/10.3897/phytokeys.28.6143
Figure 1 - Portion of a Bayesian tree of Oenothera sect. Gaura within a larger analysis of one of two major clades of Oenothera, which has been referred to as clade B by Wagner et al. (2007) with several outgroup species of the other major clade (A) of Oenothera from Krakos et al. (unpubl.). The phylogeny is based on nuclear sequences of ITS and ETS and the chloroplast markers rps16, ndhF, trnL-F, and rbcl. The labels use the most recent prior taxonomy, placing the group in Oenothera (Wagner et al. 2007), using the taxon delimitations of Raven and Gregory (1972). The taxa involved in the proposed changes here are in bold. Numbers above nodes indicate Bayesian posterior probability values.
Figure 1 from: Wagner WL, Hoch PC, Zarucchi JL (2015) The correct name in Oenothera for Gaura drummondii (Onagraceae). PhytoKeys 50: 25-29. https://doi.org/10.3897/phytokeys.50.4886
Figure 1 - Oenothera hispida (Bentham) W.L.Wagner, Hoch & Zarucchi A Habit, Mexico, Nuevo León, Roybal 34 (US) B Flower, lateral view, Roybal 34 (US) C Flower, face view, digital image (Ray Pistrum as "Gaura drummondii fresh flower" [http://redsgoodvsevilcowbarn.blogspot.com/2012/06/chigger-chow-and-gaura-drummondii.html]) D Base of staminal filaments showing basal scales, Roybal 34 (US) E Capsule, Texas, Hall 213 (US) F Oenothera suffrutescens (Ser.) W.L.Wagner & Hoch capsule, New Mexico, Standley 6481 (US).
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.