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64 results for “Rhode Island”
Avian point-counts from Rhode Island and Connecticut used to test species distribution models
<p>Spatial-biases are a common feature of presence-absence data from citizen scientists. Spatial thinning can mitigate errors in species distribution models (SDMs) that use these data. When detections or non-detections are rare, however, SDMs may suffer from class imbalance or low sample size of the minority (i.e. rarer) class. Poor predictions can result, the severity of which may vary by modeling technique. To explore the consequences of spatial bias and class imbalance in presence-absence data, we used eBird citizen science data for 102 bird species from the northeastern USA to compare spatial thinning, class balancing, and majority-only thinning (i.e., retaining all samples of the minority class). We created SDMs using two parametric or semi-parametric techniques (generalized linear models and generalized additive models) and two machine-learning techniques (random forest and boosted regression trees). We tested the predictive abilities of these SDMs using an independent and systematically collected reference dataset with a combination of discrimination (area under the receiver operator characteristic curve; true skill statistic; area under the precision-recall curve) and calibration (Brier score; Cohen's kappa) metrics. We found large variation in SDM performance depending on thinning and balancing decisions. Across all species, there was no single best approach, with the optimal choice of thinning and/or balancing depending on modeling technique, performance metric, and the baseline sample prevalence of species in the data. Spatially thinning all the data was often a poor approach, especially for species with baseline sample prevalence < 0.1. For most of these rare species, balancing classes improved model discrimination between presence and absence classes, but hindered model calibration. Baseline sample prevalence, sample size, modeling approach, and the intended application of SDM output – whether discrimination or calibration – should guide decisions about how to thin or balance data, given the considerable influence of these methodological choices on SDM performance. For prognostic applications requiring good model calibration (vis-à-vis discrimination), the match between sample prevalence and true species prevalence may be the overriding feature and warrants further investigation.</p>
FIGURE 1 in The beetle fauna of the state of Rhode Island, USA (Coleoptera): 656 new state records
FIGURE 1. Map of North and Central America with regions used by Downie and Arnett (1996) indicated as referred to and described in the text and Table 1.
FIGURES 6–7 in Aquatic and semiaquatic Heteroptera (Nepomorpha and Gerromorpha) fauna of Greek holiday islands (Rhodes, Crete and Corfu) with first records of three species from Europe and Greece
FIGURES 6–7. Shape of endosoma with lateral (left) and ventral (right) sclerites in dark grey. 6: Ƒelia rhadamantha rhadamantha, modified after Tamanini (1947). 7: Ƒelia mariae, modified after Tamanini (1970).
FIGURES 2–5 in Aquatic and semiaquatic Heteroptera (Nepomorpha and Gerromorpha) fauna of Greek holiday islands (Rhodes, Crete and Corfu) with first records of three species from Europe and Greece
FIGURES 2–5. Shape of the lateral endosomal sclerites. 2, 3, 5: Rhagovelia infernalis africana. 4: Rhagovelia nigricans nigricans. 5: dotted line indicates outline at medial surface, continuous line indicates outline at lateral surface. 2, 4: based on Lundblad (1936), modified. 3, 5 original.
FIGURE 1 in Aquatic and semiaquatic Heteroptera (Nepomorpha and Gerromorpha) fauna of Greek holiday islands (Rhodes, Crete and Corfu) with first records of three species from Europe and Greece
FIGURE 1. Sampling sites in Greek Islands. A: Corfu, B: Crete, C: Rhodes. Numbers refer to the site codes given at each locality data and tabulated with details in Csabai et al. (2017). In case of overlapping sites, some of the numbers are hidden.
FIGURE 8 in Aquatic and semiaquatic Heteroptera (Nepomorpha and Gerromorpha) fauna of Greek holiday islands (Rhodes, Crete and Corfu) with first records of three species from Europe and Greece
FIGURE 8. Distribution of selected species in the eastern Mediterranean. Red dots: Recently known distribution of Ƒ. mariae, Red squares with question mark inside: dubious records published as Ƒ. rhadamantha rhadamantha by Zimmermann (1982) and Fent et al. (2011) that probably refer to Ƒ. mariae. Blue triangles: Recently known and confirmed distribution records of Ƒ. rhadamantha rhadamantha, White cross: First locality of R. infernalis africana in Europe, Green stars: First localities of G. asper in Greece.
Distribution. NE USA,in coastal S Maine, coastal and Merrimack River valley region of S New Hampshire, SE New York, W Massachusetts (including parts of Cape Cod), W & E (E of the Connecticut River) Connecticut, and Rhode Island. in Leporidae
Distribution. NE USA,in coastal S Maine, coastal and Merrimack River valley region of S New Hampshire, SE New York, W Massachusetts (including parts of Cape Cod), W & E (E of the Connecticut River) Connecticut, and Rhode Island.
Distribution. SE Canada (S Ontario and S Quebec) and NE USA (W Maine, New Hampshire, Vermont, New York, Massachusetts, N Connecticut, N Rhode Island, Ohio, Pennsylvania, N New Jersey, West Virginia, NW Maryland, W Virginia, E Kentucky, E Tennessee, W North Carolina, extreme NE Georgia, and extreme NW South Carolina). in Talpidae
Distribution. SE Canada (S Ontario and S Quebec) and NE USA (W Maine, New Hampshire, Vermont, New York, Massachusetts, N Connecticut, N Rhode Island, Ohio, Pennsylvania, N New Jersey, West Virginia, NW Maryland, W Virginia, E Kentucky, E Tennessee, W North Carolina, extreme NE Georgia, and extreme NW South Carolina).
FIGURE 5. Limonium rhodense M.B in Two new species of Limonium (Plumbaginaceae) from Rhodes Island (eastern Aegean area, Greece)
FIGURE 5. Limonium rhodense M.B. Crespo & Pena-Martín. A. Detail of a rosette leaf. B. Spike with spikelets. C. Outer bract. D. Middle bract. E. Inner bract. F. Calyx. G. Detail of the calyx limb showing the ending ribs. Scale bars: A–B, 5 mm; C–F, 1 mm (drawings by C. Pena-Martín).
FIGURE 2. Limonium quinnii M.B in Two new species of Limonium (Plumbaginaceae) from Rhodes Island (eastern Aegean area, Greece)
FIGURE 2. Limonium quinnii M.B. Crespo & Pena-Martín. A. Detail of a rosette leaf. B. Spike with spikelets. C. Outer bract. D. Middle bract. E. Inner bract. F. Calyx. G. Detail of the calyx limb showing the ending ribs. Scale bars: A–B, 5 mm; C–F, 1 mm (drawings by C. Pena-Martín).
FIGURE 3 in Two new species of Limonium (Plumbaginaceae) from Rhodes Island (eastern Aegean area, Greece)
FIGURE 3. Distribution map of Limonium quinnii M.B. Crespo & Pena-Martín (circle) and L. rhodense M.B. Crespo & Pena-Martín (square) in Rhodes Island (Greece).
Statewide (Rhode Island and Neighboring States) Partnerships for Worksite Weight Management
ClinicalTrials.gov study NCT00288145. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Improving Cancer Screening and Prevention During the COVID-19 Pandemic in Underserved Populations of Rhode Island
ClinicalTrials.gov study NCT04587258. IPD Sharing: NO. Countries: 1. Publications: 8.
Rhode Island Asthma Integrated Response Program
ClinicalTrials.gov study NCT03583814. IPD Sharing: YES. Countries: 1. Publications: 2.
Online Obesity Treatment in Primary Care (Rhode Island, USA)
ClinicalTrials.gov study NCT03488212. IPD Sharing: NO. Countries: 1. Publications: 2.
Skills and Motivation at the Rhode Island Training School (Project SMART) - 1
ClinicalTrials.gov study NCT00227890. IPD Sharing: YES. Countries: 1. Publications: 6.
Avian point-counts from Rhode Island and Connecticut used to test species distribution models
Open the record for dataset details and reuse information.
GIS rasters to identify sites for creating habitat for American Woodcock in Rhode Island
Open the record for dataset details and reuse information.
University of Rhode Island Watershed Watch (URIWW), RI: water quality monitoring, 1988-2010
The URI Watershed Watch (URIWW) is a volunteer water quality monitoring program that works with local communities to assess water quality. Led by trained scientists, URI Watershed Watch helps local governments, watershed, tribal and other organizations recruit and train volunteers to become citizen scientists gathering detailed, quality assured monitoring data. This watershed-based program focuses on long-term environmental monitoring of RI's fresh and salt water resources including lakes, ponds, streams and coastal waters. URIWW staff provides training, equipment, supplies and analytical services tailored to organizational needs, while meeting strict quality assurance and quality control guidelines in the field and in our state-certified water testing laboratory. Sites included for LAGOS purposes are classified as Lakes by URIWW program. Tidally-influenced or salt pond sites were excluded. A single site was selected for the handful of lakes/reservoirs with 2 sampling site records, and a limited number of other lakes were excluded if they were sampled in only 1 year and for a subset of variables. Otherwise, all sites classified as lakes by URIWW are included in the LAGOS-relevant files.
Figure 2 in Thomas L. Casey and Rhode Island
Figure 2. Proportionate of Coleoptera in eastern North America Notes: Data derived from the following sources: NA, North America (Marske and Ivie 2004); FL, Florida (Peck and Thomas 1998); GA, Georgia (Robert Turnbow, unpublished data); RI, Rhode Island (Sikes 2004); NH, New Hampshire (Chandler 2001); ON, Ontario (Bousquet 1991); NS, Nova Scotia; NB, New Brunswick; PE, Prince Edward Island (C.G. Majka, unpublished data); QC, Québec (Laplante et al. 1991).
ScienceDex guides
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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.
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.