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210
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ShareScore release 0.9.0
Dataset results
210 results for “Data Reliability”
Data from: Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning
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Data from: Accuracy and readability of cardiovascular entries on Wikipedia: are they reliable learning resources for medical students?
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Data from: Reliability and construct validity of the Psychopathic Personality Inventory-Revised in a Swedish non-criminal sample: a multimethod approach including psychophysiological correlates of empathy for pain
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Data from: Data reliability in citizen science: learning curve and the effects of training method, volunteer background and experience on identification accuracy of insects visiting ivy flowers
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Data from: Large-scale genotyping of highly polymorphic loci by next generation sequencing: how to overcome the challenges to reliably genotype individuals?
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Data from: How reliably can we infer diversity-dependent diversification from phylogenies?
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Data from: Development of highly reliable in silico SNP resource and genotyping assay from exome capture and sequencing: an example from black spruce (Picea mariana)
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Data from: Reliability-based weighting of visual and vestibular cues in displacement estimation
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Data from: Evaluation of TagSeq, a reliable low-cost alternative for RNAseq
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Data-driven identification of reliable sensor species to predict regime shifts in ecological networks
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Systematic evaluation of RNA quality and microarray data reliability in human formalin-fixed paraffin-embedded and fresh frozen tissue samples
GEO Series GSE104562. Homo sapiens. 9 samples. Type: Expression profiling by array.
Systematic evaluation of RNA quality and microarray data reliability in rat formalin-fixed paraffin-embedded and fresh frozen tissue samples
GEO Series GSE104561. Rattus norvegicus. 6 samples. Type: Expression profiling by array.
Data from: A reliable DNA barcode reference library for the identification of the European shelf fish fauna
Valid fish species identification is an essential step both for fundamental science and fisheries management. The traditional identification is mainly based on external morphological diagnostic characters, leading to inconsistent results in many cases. Here, we provide a sequence reference library based on mitochondrial cytochrome c oxidase subunit I (COI) for a valid identification of 93 North Atlantic fish species originating from the North Sea and adjacent waters, including many commercially exploited species. Neighbour-joining analysis based on K2P genetic distances formed nonoverlapping clusters for all species with a ≥99% bootstrap support each. Identification was successful for 100% of the species as the minimum genetic distance to the nearest neighbour always exceeded the maximum intraspecific distance. A barcoding gap was apparent for the whole data set. Within-species distances ranged from 0 to 2.35%, while interspecific distances varied between 3.15 and 28.09%. Distances between congeners were on average 51-fold higher than those within species. The validation of the sequence library by applying BOLDs barcode index number (BIN) analysis tool and a ranking system demonstrated high taxonomic reliability of the DNA barcodes for 85% of the investigated fish species. Thus, the sequence library presented here can be confidently used as a benchmark for identification of at least two-thirds of the typical fish species recorded for the North Sea.
Data from: NDVI is not reliable as a surrogate of forage abundance for a large herbivore in tropical forest habitat
Remotely-sensed vegetation indices are increasingly being used in wildlife studies but field-based support for their utility as a measure of forage availability come largely from open-canopy habitats. We assessed whether normalized difference vegetation index (NDVI) represents forage availability for Asian elephants in a southern Indian tropical forest. We found that the number of food species was a small percentage of all plant species. NDVI was not a good measure of food abundance in any vegetation category partly because of (a) small to moderate proportional abundances of food species relative to the total abundance of all species in that category (herbs and shrubs), (b) abundant overstorey vegetation resulting in low correlations between NDVI and food abundance, despite a high proportional abundance of food species and a concordance between total abundance and food species abundance (graminoids), and (c) the relevant variables measured and important as food at the ground level (count and GBH) not being related to primary productivity (trees and recruits). NDVI had a negative relationship with the total abundance of graminoids, which represent a bulk of elephant and other herbivore diet, because of negative interaction with other vegetation and canopy cover that positively explained NDVI. Spatially interpolated total graminoid abundance modelled from field data outperformed NDVI in predicting total graminoid abundance, although interpolation models of food graminoid abundance were not satisfactory. Our results reject the utility of NDVI in mapping elephant forage abundance in tropical forests, a finding that has implications for studies of other herbivores also.
Data from: Long-term test–retest reliability of striatal and extrastriatal dopamine D2/3 receptor binding: study with [11C]raclopride and high-resolution PET
We measured the long-term test–retest reliability of [11C]raclopride binding in striatal subregions, the thalamus and the cortex using the bolus-plus-infusion method and a high-resolution positron emission scanner. Seven healthy male volunteers underwent two positron emission tomography (PET) [11C]raclopride assessments, with a 5-week retest interval. D2/3 receptor availability was quantified as binding potential using the simplified reference tissue model. Absolute variability (VAR) and intraclass correlation coefficient (ICC) values indicated very good reproducibility for the striatum and were 4.5%/0.82, 3.9%/0.83, and 3.9%/0.82, for the caudate nucleus, putamen, and ventral striatum, respectively. Thalamic reliability was also very good, with VAR of 3.7% and ICC of 0.92. Test-retest data for cortical areas showed good to moderate reproducibility (6.1% to 13.1%). Our results are in line with previous test–retest studies of [11C]raclopride binding in the striatum. A novel finding is the relatively low variability of [11C]raclopride binding, providing suggestive evidence that extrastriatal D2/3 binding can be studied in vivo with [11C]raclopride PET to be verified in future studies.
Data from: DNA barcoding gap: reliable species identification over morphological and geographical scales
The philosophical basis, and utility of DNA barcoding has been a subject of numerous debates. While most literature embraces it, some studies continue to question its use in dipterans, butterflies, and marine gastropods. Here, we explore the utility of DNA barcoding in identifying spider species that vary in taxonomic affiliation, morphological diagnosibility and geographic distribution. Our first test searched for a "barcoding gap" by comparing intra- and interspecific means, medians and overlap in more than 75,000 computed Kimura 2 parameter (K2P) genetic distances in three families. Our second test compared K2P distances of congeneric species with high versus low morphological distinctness in 20 genera of 11 families. Our third test explored the effect of enlarging geographical sampling area at a continental scale on genetic variability in DNA barcodes within 20 species of nine families. Our results generally point towards a high utility of DNA barcodes in identifying spider species. However, the size of the barcoding gap strongly depends on taxonomic groups and practices. It is becoming critical to define the barcoding gap statistically more consistently, and to document its variation over taxonomic scales. Our results support models of independent patterns of morphological and molecular evolution by showing that DNA barcodes are effective in species identification regardless of their morphological diagnosibility. We also show that DNA barcodes represent an effective tool for identifying spider species over geographic scales, yet their variation contains useful biogeographic information.
A Clinical Study to Investigate the Reliability of Fetal Heart Rate and Maternal Heart Rate Signals Extracted From Biopotential Data
ClinicalTrials.gov study NCT05498298. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Confirm Rx™ Versus Reveal LINQ™ - Which is More Reliable in Data Transmission? A Randomized Clinical Study
ClinicalTrials.gov study NCT03720639. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: NDVI is not reliable as a surrogate of forage abundance for a large herbivore in tropical forest habitat
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Data from: Reliability and minimum detectable change of temporal-spatial, kinematic, and dynamic stability measures during perturbed gait
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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.