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1,063
datasets available to search
ShareScore release 0.9.0
Dataset results
1,063 results for “search”
Predicting the allergenicity of legume proteins using a PBMC gene expression assay_Biomarker search study
GEO Series GSE169030. Homo sapiens. 140 samples. Type: Expression profiling by high throughput sequencing.
Toxicological Transcriptome of Human Airway Constructs After Exposure to Indoor Air Particulate Matter: In Search of Relevant Pathways of Moisture Damage -Associated Health Effects
GEO Series GSE175878. Homo sapiens. 260 samples. Type: Expression profiling by high throughput sequencing.
Searching beyond the streetlight: neonicotinoid exposure alters the neurogenomic state of worker honey bees
GEO Series GSE178742. Apis mellifera. 79 samples. Type: Expression profiling by high throughput sequencing.
Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?
<p>The raw data is attached for the paper: </p> <p>Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?</p>
MAP-search-data
<p>Pickle dictionary and LSH forest of ChEMBL, the Human Metabolome, and SwissProt necessary to run the MAP Similarity Search locally.</p>
Data set for "Improving double-ended transition state searches for soft-matter systems"
<p>Data set for "Improving double-ended transition state searches for soft-matter systems", JCP, 2020</p>
Leveraging Natural Language for Program Search and Abstraction Learning Graphics
<p>Program synthesis dataset containing graphics programs tasks and language annotations (synthetic and human annotated) for the Leveraging Natural Language for Program Search and Abstraction Learning (currently under review at NeurIPS 2020). Will be deanonymized upon review.</p>
Data from: Towards improving searches for optimal phylogenies
Finding the optimal evolutionary history for a set of taxa is a challenging computational problem, even when restricting possible solutions to be "tree-like" and focusing on the maximum-parsimony optimality criterion. This has led to much work on using heuristic tree searches to find approximate solutions. We present an approach for finding exact optimal solutions that employs and complements the current heuristic methods for finding optimal trees. Given a set of taxa and a set of aligned sequences of characters, there may be subsets of characters that are compatible, and for each such subset there is an associated (possibly partially resolved) phylogeny with edges corresponding to each character state change. These perfect phylogenies serve as anchor trees for our constrained search space. We show that, for sequences with compatible sites, the parsimony score of any tree T is at least the parsimony score of the anchor trees plus the number of inferred changes between T and the anchor trees. As the maximum-parsimony optimality score is additive, the sum of the lower bounds on compatible character partitions provides a lower bound on the complete alignment of characters. This yields a region in the space of trees within which the best tree is guaranteed to be found; limiting the search for the optimal tree to this region can significantly reduce the number of trees that must be examined in a search of the space of trees. We analyze this method empirically using four different biological data sets as well as surveying 400 data sets from the TreeBASE repository, demonstrating the effectiveness of our technique in reducing the number of steps in exact heuristic searches for trees under the maximum-parsimony optimality criterion.
• Bibliographic search on global warming effects and extracted metadata (pH, salinity, oxygen, temperatures, diseases observed in field/ in vitro/ in vivo, clinical signs, pathology, morbidity/mortality);
<p><a><span>B ibliographic search on global warming effects and extracted metadata </span></a><span><span><a href="#_msocom_1" name="_msoanchor_1">[MOU1]</a><span> </span></span></span><span>(pH, salinity, oxygen, temperatures, diseases observed in field/ <em>in</em> <em>vitro</em>/ <em>in</em> <em>vivo</em>, clinical signs, pathology, morbidity/mortality);</span><span></span></p>
Detecting stripped stars while searching for quiescent black holes
<p>Data products and input files necessary to reproduce the MESA simulations in "Detecting stripped stars while searching for quiescent black holes".</p> <p>MESA version: 12778</p> <p>MESASDK version: x86_64-linux-20.3.</p>
Google Scholar search record using GSscraper app: 2022-04-16
File generated: Search date, time, timezone: 2022-04-16 09:03:19 (Europe/London) Search parameters: All these words: crayfish None of these words: This exact word or phrase: "" Any these words: Language: en Between these years: and Number of pages exported: 1 Starting from page: 1 Citations included: TRUE Citations included: TRUE Search only in the title: FALSE Authors: Source: GS links generated: https://scholar.google.co.uk/scholar?start=0&q=crayfish&hl=en&as_vis=0&as_sdt=2007
The drivers of anguillid eel movement in lentic water bodies: a systematic map - search engine results
<p>A total of 7 RIS files.</p> <p>Three RIS files from three web searches (Scholar, SCOPUS, and Web of Science) conducted for the review "The drivers of anguillid eel movement in lentic water bodies: a systematic map" currently submitted for publication at Reviews ins Fish Biology and Fisheries.</p> <p>RIS file of the combined search data conducted in Zotero</p> <p>RIS of the results from backward citation chasing.</p> <p>RIS file of the results from forward citation chasing.</p> <p>RIS file of the combined results from onward and backward citation chasing.</p>
My favorite interactive documentaries are the ones I made myself – in search of the author
Open the record for dataset details and reuse information.
Data from: The effect of mood state on visual search times for detecting a target in noise: an application of smartphone technology
The study of visual perception has largely been completed without regard to the influence that an individual's emotional status may have on their performance in visual tasks. However, there is a growing body of evidence to suggest that mood may affect not only creative abilities and interpersonal skills but also the capacity to perform low-level cognitive tasks. Here, we sought to determine whether rudimentary visual search processes are similarly affected by emotion. Specifically, we examined whether an individual's perceived happiness level affects their ability to detect a target in noise. To do so, we employed pop-out and serial visual search paradigms, implemented using a novel smartphone application that allowed search times and self-rated levels of happiness to be recorded throughout each twenty-four-hour period for two weeks. This experience sampling protocol circumvented the need to alter mood artificially with laboratory-based induction methods. Using our smartphone application, we were able to replicate the classic visual search findings, whereby pop-out search times remained largely unaffected by the number of distractors whereas serial search times increased with increasing number of distractors. While pop-out search times were unaffected by happiness level, serial search times with the maximum numbers of distractors (n = 30) were significantly faster for high happiness levels than low happiness levels (p = 0.02). Our results demonstrate the utility of smartphone applications in assessing ecologically valid measures of human visual performance. We discuss the significance of our findings for the assessment of basic visual functions using search time measures, and for our ability to search effectively for targets in real world settings.
Internet searches for diet, exercise, diabetes, BMI and a GLP1 analog, in the 10 most populous Muslim countries
<p>We conducted an analysis of internet search trends from January 2022 to June 2023 in the ten most populous Muslim countries, focusing on keywords such as "Ozempic"TM (a popular GLP1 analog), "Diet," "Exercise," and "Diabetes." The results showed a significant increase in searches for the GLP1 analog in eight countries, while searches for "Diet" and "Exercise" were mostly declining in nine and four countries, respectively. Searches for "Diabetes" were positive in only two countries. These trends suggest a growing reliance on pharmaceutical interventions for diabetes and weight management at the expense of diet and exercise. Clinicians and healthcare workers in Muslim countries should emphasize the importance of diet and exercise for diabetic patients, even during Ramadan.</p>
Search for Genetic Basis of Vulvodynia
ClinicalTrials.gov study NCT01664962. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Diagnostic Interest of Bone Tomoscintigraphy in the Search for Cervical Pseudarthrosis
ClinicalTrials.gov study NCT07140432. IPD Sharing: NO. Countries: 1. Publications: 0.
Search of a Paradoxical Fall in Maximum Expiratory Flow After Bronchodilation in Healthy Subjects
ClinicalTrials.gov study NCT03062904. IPD Sharing: NO. Countries: 1. Publications: 0.
Search for a Link Between Response to Treatment and Circulating Leucocytes in High Grade Glioma Patients
ClinicalTrials.gov study NCT01836536. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Mixed Vs Blocked Search: Four Unique Tasks
ClinicalTrials.gov study NCT06933693. IPD Sharing: YES. Countries: 1. Publications: 0.
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.