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.
284
datasets available to search
ShareScore release 0.9.0
Dataset results
284 results for “reasoner”
The Effectiveness of Using Empathy Courses to Guide OT Students in Case-base Clinical Reasoning
ClinicalTrials.gov study NCT05479110. IPD Sharing: NO. Countries: 1. Publications: 11.
NEUROR: Exploring the Neural Basis of Reasoning
ClinicalTrials.gov study NCT04849208. IPD Sharing: UNDECIDED. Countries: 1. Publications: 17.
Scheduled Elective Surgical Case Cancellation in Siriraj: Evaluation and Identification of the Reasons
ClinicalTrials.gov study NCT02816281. IPD Sharing: NO. Countries: 1. Publications: 1.
Physician Reasoning on Management Cases With Large Language Models
ClinicalTrials.gov study NCT06208423. IPD Sharing: NO. Countries: 1. Publications: 2.
Reasons for Variations in Health Related Quality of Life and Symptom Burden in Patients With Atrial Fibrillation
ClinicalTrials.gov study NCT01553045. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Assessment of the Reasons for Accepting or Refusing Early Palliative Care
ClinicalTrials.gov study NCT04717440. IPD Sharing: Not stated. Countries: 1. Publications: 1.
DPBRN Reasons for Placing the First Restoration on Permanent Tooth Surfaces
ClinicalTrials.gov study NCT00847470. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Breast Cancer, Reasoning, and Activity Intervention
ClinicalTrials.gov study NCT04816006. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: Screening primary-care patients forgoing health care for economic reasons
Open the record for dataset details and reuse information.
Data from: Good reasons to leave home: proximate dispersal cues in a social spider
Open the record for dataset details and reuse information.
Determining reasonable response actions following a fly ash spill in the headwaters of Banff National Park, Canada
Open the record for dataset details and reuse information.
Semantic competency as a marker of clinical reasoning performance
Open the record for dataset details and reuse information.
PR Rejection Reasons - Scapy Case Study
<p>A dataset of manually annotated pull request rejection reasons and their sentiment. Target project: Scapy (hosted on GitHub).</p>
The main reasons for the formation of phenotypic heterogeneity of an isogenic bacterial population
<p>The main reasons for the formation of phenotypic heterogeneity of an isogenic bacterial population</p> <p>Основные причины формирования фенотипической гетерогенности изогенной бактериальной популяции</p>
Dataset for Event-based architecture for enabling multi-modal reasoning on loosely coupled Linked Data services
<p>Dataset with the raw UNIX timestamps for start/stop time points for each sample of each evaluated configuration as well as produced plots.</p>
Data from: Toward synthesizing our knowledge of morphology: using ontologies and machine reasoning to extract presence/absence evolutionary phenotypes across studies
The reality of larger and larger molecular databases and the need to integrate data scalably have presented a major challenge for the use of phenotypic data. Morphology is currently primarily described in discrete publications, entrenched in noncomputer readable text, and requires enormous investments of time and resources to integrate across large numbers of taxa and studies. Here we present a new methodology, using ontology-based reasoning systems working with the Phenoscape Knowledgebase (KB; kb.phenoscape.org), to automatically integrate large amounts of evolutionary character state descriptions into a synthetic character matrix of neomorphic (presence/absence) data. Using the KB, which includes more than 55 studies of sarcopterygian taxa, we generated a synthetic supermatrix of 639 variable characters scored for 1051 taxa, resulting in over 145,000 populated cells. Of these characters, over 76% were made variable through the addition of inferred presence/absence states derived by machine reasoning over the formal semantics of the source ontologies. Inferred data reduced the missing data in the variable character-subset from 98.5% to 78.2%. Machine reasoning also enables the isolation of conflicts in the data, that is, cells where both presence and absence are indicated; reports regarding conflicting data provenance can be generated automatically. Further, reasoning enables quantification and new visualizations of the data, here for example, allowing identification of character space that has been undersampled across the fin-to-limb transition. The approach and methods demonstrated here to compute synthetic presence/absence supermatrices are applicable to any taxonomic and phenotypic slice across the tree of life, providing the data are semantically annotated. Because such data can also be linked to model organism genetics through computational scoring of phenotypic similarity, they open a rich set of future research questions into phenotype-to-genome relationships.
Data from: Causal reasoning in rats' behaviour systems
Conceiving of stimuli and responses as causes and effects, and assuming that rats acquire representational models of causal relations from Pavlovian procedures, previous work by Causal Model Theory proponents attempted to train rat subjects to represent Light as a cause of both Tone and food. By these assumptions, with formal help from Bayesian Networks, self-production of the Tone should reduce expectation of alternative causes, including Light, and their effects, including food. Reduced feeder-directed responding to the Tone when self-produced has been taken as evidence for a general causal reasoning capacity among rats involving mental maps of causal relations. Critics have rejoined that response competition can explain these effects. The present research replicates the key effect, but uses continuous and finer-grained measurement of a broader range of behaviours. Behaviours not recorded in previous studies contradict both prior explanations. Even results cited in support of these explanations, when measured in finer detail and continuously over longer periods, show patterns not expected by either view, but supportive of a specific-process approach with attention to motivational factors. Still, the abstract prediction from Bayesian Networks holds, providing a potentially complementary normative analysis. Behaviour systems theory provides firmer framing for such theories than representational-map alternatives.
Data from: Reasons for success: rapid evolution for desiccation resistance and life-history changes in the polyphagous fly Anastrepha ludens
Species that exhibit broad ranges of distribution may successfully navigate environmental changes by modifying some of their life history traits. Environmental humidity imposes a critical stress that organisms may overcome by increasing their resistance to desiccation. We used experimental evolution to investigate adaptation to desiccation in the tephritid Anastrepha ludens, a species with high fecundity, late maturation and long lifespan. We measured morphological, physiological, developmental as well as demographic changes involved in the adaptation to desiccation. Notwithstanding a low heritability (h2 = 0.237), desiccation resistance evolved extremely rapidly and few negative trade-offs were detected. Selected flies exhibited correlated increases in longevity, body size, the amount of body lipids and bulk water content, and in the duration of the pupal stage. Females further delayed sexual maturation, decreased daily fecundity but retained high lifetime reproductive potential. No differences in male mating competitiveness were found. Selected and control lines differed in longevity but not in total female fecundity, demonstrating that A. ludens flies have the capability for fast adaptation to desiccation without loosing their reproductive capability. Thus, it seems that a rapid evolutionary response to desiccation in this polyphagous insect works as a buffer for environmental variation and reduces the strength of selection on reproductive traits.
Data from: Terminated trials in the ClinicalTrials.gov results database: evaluation of availability of primary outcome data and reasons for termination
Background: Clinical trials that end prematurely (or "terminate") raise financial, ethical, and scientific concerns. The extent to which the results of such trials are disseminated and the reasons for termination have not been well characterized. Methods and Findings: A cross-sectional, descriptive study of terminated clinical trials posted on the ClinicalTrials.gov results database as of February 2013 was conducted. The main outcomes were to characterize the availability of primary outcome data on ClinicalTrials.gov and in the published literature and to identify the reasons for trial termination. Approximately 12% of trials with results posted on the ClinicalTrials.gov results database (905/7,646) were terminated. Most trials were terminated for reasons other than accumulated data from the trial (68%; 619/905), with an insufficient rate of accrual being the lead reason for termination among these trials (57%; 350/619). Of the remaining trials, 21% (193/905) were terminated based on data from the trial (findings of efficacy or toxicity) and 10% (93/905) did not specify a reason. Overall, data for a primary outcome measure were available on ClinicalTrials.gov and in the published literature for 72% (648/905) and 22% (198/905) of trials, respectively. Primary outcome data were reported on the ClinicalTrials.gov results database and in the published literature more frequently (91% and 46%, respectively) when the decision to terminate was based on data from the trial. Conclusions: Trials terminate for a variety of reasons, not all of which reflect failures in the process or an inability to achieve the intended goals. Primary outcome data were reported most often when termination was based on data from the trial. Further research is needed to identify best practices for disseminating the experience and data resulting from terminated trials in order to help ensure maximal societal benefit from the investments of trial participants and others involved with the study.
Data from: Clinical reasoning: a 14-year-old girl with headache, seizures, and confusion
In this report, we characterized describe a 14-year-old girl who developed progressive cerebral venous sinus thrombosis (CVST) and, with multiple organs and systems disfunction in 7 days which are similar to Marfan Syndrome in partial clinical characteristics. Through clinical phenotype and gene detection information, During our workup we uncovered we found two novel compound heterozygous mutations of cystathionine beta-synthase (CBS) gene, c.551 T>C and c.949 A>G, leading to hyperhomocysteinemia (HHcy). This, which suggested an irreplaceable correlation in likely led to her CVST and was a well answer for the multiple organs and systems failure in the case multiorgan dysfunction. This case highlights that (1) HHcy is of great clinical significance in CVST young patients; and (2) for patients with HHcy, excluding all exogenous factors of HHcy such as dietary deficiency of vitamins, genetic factors. neurologists should recognize the potential genetic component to this disorder, especially when there is a strong family history and multisystem failure, should be paid much more attention, especially accompanied with multiple organs and systems disfunction and/or patient family history.
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.