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10 results for “Search Trend”
Dataset of 'Search for top-down and bottom-up drivers of latitudinal trends in insect herbivory in oak trees in Europe'
<p>This file correspond to the dataset that has being used in the article ‘Search for top-down and bottom-up drivers of latitudinal trends in insect herbivory in oak trees in Europe’ by Elena Valdés-Correcher et al. in Global Ecology and Biogeography.</p>
Search Behavior can Affect Financial Decision Results: A Behavior Study of Google Trends Data and Linguistic Scale
As search engines have become the main information resources of our daily life, studies about search behavior on the internet have gained great popularity with the growing knowledge of how the search behavior itself can affect our daily decisions, e.g. what to purchase, where to travel and even how to define beauty. However, there is no consensus conclusion whether the search behavior itself or the linguistic meaning behind it that can affect their decision. After analyzing the linguistic meanings of 13,915 English words obtained from Google Trends and its profit gained from the US house market by automatic transactions. It is found that linguistic meanings can affect financial decision results as word clusters with supervised machine learning methods.
Global Google Trends Internet Search Data 2022 to 2024
<p>Global Google Trends Internet Search Data 2022 to 2024 [RSVs] for fasting, diet, nutrition, liver, GLP-1 RAs</p>
Google search trends for different vaccines from 1st June 2014 to 31st May 2019
<p>This is "Additional file" for the manuscript "Global search trends on common vaccine-related information in English on the internet"</p>
Search Behavior can Affect Financial Decision Results: A Behavior Study of Google Trends Data and Linguistic Scale
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Data from: The search for loci under selection: trends, biases and progress
Detecting genetic variants under selection using FST outlier analysis (OA) and environmental association analyses (EAA) are popular approaches that provide insight into the genetic basis of local adaptation. Despite the frequent use of OA and EAA approaches and their increasing attractiveness for detecting signatures of selection, their application to field-based empirical data have not been synthesized. Here, we review 66 empirical studies that use Single Nucleotide Polymorphisms (SNPs) in OA and EAA. We report trends and biases across biological systems, sequencing methods, approaches, parameters, environmental variables and their influence on detecting signatures of selection. We found striking variability in both the use and reporting of environmental data and statistical parameters. For example, linkage disequilibrium among SNPs and numbers of unique SNP associations identified with EAA were rarely reported. The proportion of putatively adaptive SNPs detected varied widely among studies, and decreased with the number of SNPs analyzed. We found that genomic sampling effort had a greater impact than biological sampling effort on the proportion of identified SNPs under selection. OA identified a higher proportion of outliers when more individuals were sampled, but this was not the case for EAA. To facilitate repeatability, interpretation and synthesis of studies detecting selection, we recommend that future studies consistently report geographic coordinates, environmental data, model parameters, linkage disequilibrium, and measures of genetic structure. Identifying standards for how OA and EAA studies are designed and reported will aid future transparency and comparability of SNP-based selection studies and help to progress landscape and evolutionary genomics.
Could Google Trends be used to predict methamphetamine-related crime? An analysis of search volume data in Switzerland, Germany, and Austria
<p>Data for paper submitted to PLoS One on 2016-07-08. Title: Could Google Trends be used to predict methamphetamine-related crime? An analysis of search volume data in Switzerland, Germany, and Austria</p> <p>Authors: Alex Gamma, Roman Schleifer, Wolfgang Weinmann, Anna Buadze, Michael Liebrenz</p> <p>Format: ZIP-file</p> <p>Contains:<br /> - Two datafiles, each as .csv and .dta (Stata version 11) file.<br /> - README file with instructions</p> <p> </p> <p> </p>
Searches for ED and COVID-19 from Google Trends
<p><em>Searches for ED and COVID-19 from Google Trends (provided by Google as Relative Search Volumes (RSVs): they are normalized with a minimum value of 0 and a maximum value of 100) and weekly COVID-19 cases from WHO (in absolute numbers) in the four time periods. Please note that in the first time period Google provides search data RSVs monthly, while in the other three periods this is done weekly. Time Period 1: January 1, 2004 to December 31, 2016, Time Period 2: January 1, 2017 to December 31, 2019, Time Period 3: January 1, 2020 to December 31, 2021, Time Period 4: January 1, 2022 to December 31, 2022. </em></p>
Data from: Search for top-down and bottom-up drivers of latitudinal trends in insect herbivory in oak trees in Europe
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Data from: The search for loci under selection: trends, biases and progress
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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.