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1,048
datasets available to search
ShareScore release 0.9.0
Dataset results
1,048 results for “interpreting”
Data from: Assessing environmental pollution in birds: a new methodological approach for interpreting bioaccumulation of trace elements in feather shafts using geochemical sediment data
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Data from: The analysis and interpretation of critical temperatures
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Data from: Functional responses in habitat selection: clarifying hypotheses and interpretations
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Data from: Evidence for climate-driven diversification? A caution for interpreting ABC inferences of simultaneous historical events
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Data from: Markov switching autoregressive models for interpreting vertical movement data with application to an endangered marine apex predator
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Data from: Stalking the fourth domain in metagenomic data: searching for, discovering, and interpreting novel, deep branches in phylogenetic trees of phylogenetic marker genes
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Data from: Interpreting the FLOCK algorithm from a statistical perspective
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How absolute biomass intake can alter nutrient profile interpretation in free-ranging species: The case of protein intake in brown bears
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The precautionary principle and dietary DNA metabarcoding: commonly used abundance thresholds change ecological interpretation
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Patch-clamp dataset (SyncroPatch384PE) for control variants used in a calibrated functional patch clamp assay to enhance clinical variant interpretation in KCNH2-related long QT syndrome
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Medical data formatting to improve physician interpretation speed in the military healthcare system
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Data from: Mapping sclerobiosis: a new method for interpreting the distribution, biological implications, and paleoenvironmental significance of sclerobionts on biotic hosts
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Data from: Linkage mapping reveals strong chiasma interference in sockeye salmon: implications for interpreting genomic data
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Data from: The past sure is tense: on interpreting phylogenetic divergence time estimates
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Data from: Bayesian analyses in phylogenetic palaeontology: interpreting the posterior sample
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An incoherent feedforward loop interprets NFkappaB/RelA dynamics to determine TNF-induced necroptosis decisions
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An incoherent feedforward loop interprets NFkappaB/RelA dynamics to determine TNF-induced necroptosis decisions
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Automating the interpretation of PM2.5 time-resolved measurements using a data-driven approach
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Evaluation datasets and pre-computed scores for: "CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations"
<p>CAPICE is a computational method for predicting the pathogenicity of SNVs and InDels.</p> <p>This new repository added index for CAPICE v1.0 (build37) precomputed files.</p> <p><strong>Repository description:</strong></p> <p>1) "paper_datasets.tar.gz" contains all datasets used in the CAPICE paper;</p> <p>2) "capice_v1.0_build37_indels.tsv.gz" contains the precomputed scores for InDels in genome build 37</p> <p>3) "capice_v1.0_build37_indels.tsv.gz.tbi" contains the index for file"capice_v1.0_build37_indels.tsv.gz"</p> <p>4) "capice_v1.0_build37_snvs.tsv.gz" contains the precomputed scores for all possible SNVs in genome build 37</p> <p>5) "capice_v1.0_build37_snvs.tsv.gz.tbi" contains the index for file "capice_v1.0_build37_snvs.tsv.gz"</p> <p> </p>
Our Dreams, Our Selves: Automatic Interpretation of Dream Reports
<p>Sleep scientists have shown that dreaming helps people improve their waking lives, and they have done so by developing sophisticated content analysis scales. Over the years, sleep scientists have developed hundreds of increasingly sophisticated ways of coding dreams. One of the the best validated and most widely used scale is the Hall and Van de Castle's. The Hall–Van de Castle dream coding system consists of ten categories (and their sub-categories) of elements appearing in dreams, together with detailed rules to recognize and measure those elements from written reports. The system became a standard reference for quantitative dream analysis, thanks to its objective approach that facilitates reproducibility and high inter-coder reliability. In practice, the ten categories are not all of equal importance in capturing the psycho-pathological aspects of a dream's content. Dream scientists determined that the three categories of Characters, Social Interactions and Emotions are the most valuable ones and are usually more informative than all the remaining ones combined. These are described as follows:</p> <ul> <li>Characters. People, animals and imaginary figures who appear in the dream; </li> <li>Interactions. Interactions among characters of three types: friendly, sexual and aggressive;</li> <li>Emotions. Markers of positive or negative emotions in the dream.</li> </ul> <p>Each of these three categories is quantified by a set of metrics. For example, the Characters category includes the percentages of male, animal, and imaginary characters that appears in the dream.</p> <p>As most dream content analysis scales, the Hall–Van de Castle dream coding system is complex and, as such, require human intervention. As a result, annotations have been mostly done manually, which is time-consuming, does not scale. To tackle this challenge, we designed a Natural Language Processing (NLP) tool that automatically scores dream reports by operationalizing the Hall–Van de Castle coding system. We validated the tool's effectiveness on hand-annotated dream reports and applied it to a set of 20k+ dream reports from dreambank.net. This dataset contains those algorithmic annotations.</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.