Articles tagged with Data Sets
Research found that more than half of children in the US misperceive or reject their parents' political party affiliations. Social support from parents increases the likelihood of children adopting their party identifications but not necessarily knowing them accurately.
More than half of public datasets provided with scientific papers are found to be incomplete, hindering reproducibility tests and follow-up studies. Simple errors made by researchers can compromise the process of making research data publicly available.
A Chinese research team led by Prof. Qing-Guo Huang accurately determined the Hubble constant using Baryon Acoustic Oscillation datasets, achieving a precision of around 1.3%. This result questions the measurement accuracy of Nobel laureate Adam Riess' team.
A recent study found that tourists use peer-to-peer accommodation services for social and financial reasons, leading to broader destination choices and longer stays. The availability of these services also increases tourism demand and revenue for destinations.
Two postdoctoral scholars from UC Santa Barbara's Kavli Institute for Theoretical Physics developed a method called ImSAnE, which constructs an atlas of two-dimensional maps for dynamic tissue surfaces. This allows scientists to analyze layered tissues with relative ease and reduces data size and processing time.
Genomic data sharing networks pose a risk to individual privacy if accessed by the wrong hands. Stanford researchers demonstrate a technique to prevent hacking and protect donors' identities.
Researchers used anonymous mobile phone records for 15 million people in Kenya to track the spread of rubella, predicting seasonal disease patterns. The study shows that cellphone movement can be a predictor of infectious-disease spread, particularly among children during school breaks.
A new genomic catalog of nearly 200 viral genomes provides insight into the origins and transmission of Lassa virus. The data set confirms rodent-to-human transmission as the primary mode of infection.
The Herbarium of the University of Granada has published an online catalogue of type specimens of fungi and lichens, containing 88 specimens from western Mediterranean regions. The dataset is associated with a large image collection, providing valuable insights into the diversity of these organisms.
The establishment of a global genomic data commons in the cloud would increase access to valuable genetic data, reduce costs, and accelerate cancer research. This initiative aims to provide secure and authorized access to large-scale genomic datasets.
A new method developed by Disney Research Pittsburgh and Boston University can recognize actions in videos more accurately than previous methods. The algorithm represents actions as space-time patterns, allowing it to account for variations in execution.
Researchers found a specific pattern of gene activity that distinguishes between sepsis and sterile inflammation, allowing for more accurate diagnosis. The study analyzed over 2,900 blood samples from nearly 1,600 patients to identify the genetic signature, which could lead to development of a diagnostic blood test.
Computer scientists developed a new method combining computer vision algorithms and brain-computer interface to detect mines in sonar images, outperforming existing methods. The system uses classifiers to capture changes in pixel intensity and improves accuracy by detecting 99.5% of true positives and reducing false positives.
Los Alamos scientists have developed a new tool for analyzing microbial communities, GOTTCHA, which can identify co-infections in medical samples. The tool uses a database of reference genomes to classify individual metagenome sequences and provide relative abundance profiles of organisms found within a sample.
The study analyzed data from multilingual Twitter users and Wikipedia editors, as well as book translations in 150 countries. It found that a language's centrality in the network predicts its global fame, with some networks correlating better with certain measures of fame than others.
A new study from Georgia Tech found that copyright confusion has a significant impact on online creative communities, with 13% of YouTube help forum posts dedicated to copyright. Researchers identified five major problem areas: avoiding trouble, dealing with consequences, fear of infringement, and incomplete information.
A team of Chinese scientists has developed a new global wetland suitability map to help protect these vital ecosystems. The map, which matches individual wetland sites with local water table depth, shows that the total area of global wetlands is approximately 3.316×107km2.
A study by Indiana University PhD candidates found that heterosexuals are equally supportive of legal benefits for same-sex couples as they are for heterosexual couples, but are less supportive of PDA. Gay and lesbian individuals were also found to be less supportive of certain public displays of affection due to safety concerns.
Researchers found significant differences between two commercially available datasets used to analyze the relationship between neighborhood socioeconomic characteristics and food and alcohol establishments. The study highlights the need for accurate data to support policy decisions on issues like incentives for grocery stores in econom...
The new map is based on a collaboration between the Woods Hole Research Center and Mexican institutions, integrating field measurements with satellite data to provide continuous estimates of carbon stocks. This biomass map represents an important step forward in accounting for carbon emissions from the land sector in Mexico.
Researchers compiled two new datasets on insect evolution, finding that families of insects with metamorphosis diversify more quickly than others. The findings suggest that these insects are responsible for a higher rate of diversification and a greater turnover of species.
A new high-resolution bedrock map for the Antarctic Peninsula provides detailed insights into the region's geology and ice thickness. The study reveals that 34% of the ice volume is grounded below sea level, with a potential to raise global sea levels by 69mm.
Researchers at the University of Montana have improved computer models for estimating temperature across mountainous landscapes by creating a new climate dataset. This dataset uses weather station data, atmospheric weather model data, and satellite-based observations to estimate daily temperatures from 1948 to 2012.
The OncoFinder algorithm reduces errors in transcriptome analysis by mapping gene expression onto signalling pathways, allowing for more effective evaluation and analysis. The method enables scientists to characterise functional states of transcriptomes more accurately, improving research and clinical applications.
The study found that Rome, London, and Paris emerged as major cultural centers due to high death rates among intellectuals in these cities. Despite increased travel over the centuries, birth and death locations of notable individuals remained relatively close.
Researchers found that extreme market crashes contradict multi-fractal scaling, a phenomenon where financial data patterns self-similarly scale. The study suggests understanding multi-fractal structure can aid early detection of impending extreme events.
The NIH Task Force recommends defining chronic low back pain as back pain lasting at least three months, causing pain on at least half of days over the past six months. The task force also suggests a nine-item cLBP Impact Score to assess how back pain affects patients' lives.
Exome sequencing may miss a high proportion of clinically relevant regions in key disease-causing genes, raising concerns about patient diagnosis. The study's findings highlight the need for improved methods to provide reliable coverage of these genes.
Researchers have processed NASA UV-B radiation data to study its influence on organisms. The dataset provides six variables, including annual averages and seasonal patterns, to help scientists analyze the effects of UV-B radiation on animal and plant species.
The article examines how backtesting can lead to overfitting, resulting in misleadingly good results that don't translate to real-world performance. Researchers argue that few companies and researchers conduct out-of-sample testing, leading to a lack of transparency in investment strategies.
A new mathematical model predicts where different types of neurons are located in the brain based on their molecular identity. This approach enables scientists to draw an increasingly accurate map of neuronal distribution in the brain.
ZENBU integrates genome browsers with data analysis and linked expression views to facilitate interactive visualization of next-generation sequencing results. The tool allows for dynamic combination of thousands of experimental datasets, enabling scientists to discover new biological mechanisms.
Research from Aarhus University finds that people with schizophrenia are at increased risk of developing autoimmune diseases, including psoriasis and multiple sclerosis. Infections play a determining role in this association.
A team of scientists from Harvard University and Virginia Tech has established a reliable set of human genotypes to benchmark human genome sequencing. This will help researchers gain traction against human disease by refining genomic data. The findings are available online, enabling real-time benchmarking of DNA-sequencing methods.
The CLIMBER dataset provides unique information on the climatic niche characteristics of 397 European butterflies, obtained by combining detailed distribution data and public climatic datasets. This knowledge is essential for understanding species' relationships with their environment and assessing the impacts of global change.
LineUp is an open-source application that allows users to assign weights to different parameters and create a custom ranking. It introduces a dynamic element to static analysis, enabling side-by-side comparisons of alternative weighting systems.
BYU engineer Dah-Jye Lee has created a genetic algorithm that accurately identifies objects in images or video sequences without human intervention. The algorithm learns from a set of images and sets its own parameters, achieving 100% accurate recognition on four image datasets and distinguishing between fish species with 99.4% accuracy.
The Allen Institute for Brain Science has released major updates to its online public resources, including the Mouse Brain Connectivity Atlas, Human Brain Atlas, and more. These updates provide freely available tools and data for researchers worldwide, accelerating understanding of brain function and disease.
A recent study found that most scientific data is inaccessible after just 20 years, with over 80% of publicly funded research data lost forever. Researchers are calling for journals to require authors to share their data on public archives before publication.
A new study found that 80% of scientific data are lost within two decades, highlighting the need for public archives to preserve research findings. The authors recommend making data upload a condition for publication in scientific journals.
NYU-Poly professors Juliana Freire and Thanasis Korakis are recognized for their work on big data analysis and developing solutions to improve home wireless performance. They will receive one-year grants supporting their research, which aims to unify data selection and visual analysis to analyze complex urban data sets.
A new study found that papers with shared data received increased citation numbers for at least five years, with data reuse on the rise over time. The researchers concluded that actual data reuse contributed significantly to the citation difference.
The NIH has launched the first phase of the Microbiome Cloud Project, a collaboration with Amazon Web Services that provides a free public dataset of genetic information on microbes. This initiative aims to facilitate analysis and discovery by reducing computing infrastructure and technical expertise requirements.
The National Oceanic and Atmospheric Administration (NOAA) has released a comprehensive dataset containing millions of chemical analyses from the Deepwater Horizon oil spill. The dataset, which includes data on underwater hydrocarbon plumes and dispersants, is now publicly available online.
The largest ever study of NHS culture and behavior found that high-quality care is often hindered by unclear goals, excessive box ticking, and variable staff support. The analysis identified 'dark spots' of poor care and highlighted the need for clear goals, good intelligence on performance, and person-centered cultures.
Researchers create 'insect soup' by crushing insects and sequencing their DNA, which accelerates biodiversity monitoring and cataloguing. This breakthrough allows for more efficient and reliable detection of endangered species and environmental changes.
Researchers developed a new open-source platform to analyze and visualize visual fields, enabling transparent collaboration among independent labs. The platform contains analytical and visualization tools, including methods for glaucoma detection, and can be used for experimentation and research.
The UNEX Herbarium has synthesized a comprehensive dataset of 36451 specimens, covering regions including Spain, Portugal, Africa, and Brazil. The dataset is now accessible through the GBIF portal, providing valuable information for researchers and students.
A new paper analyzed seven coastal estuary and marine food webs, including parasites, to understand their impact on network structure. The team found that most changes resulted from increased diversity and complexity, rather than unique parasite characteristics.
A new peer-reviewed data paper compiles information on Belgian ants, highlighting the FORMIDABEL database with 27,642 records. The database provides insights into the indigenous and exotic ant fauna in Belgium, shedding light on their distribution patterns based on vegetation and soil types.
Researchers found a 36% autumn and 9% winter decline in Arctic sea ice volume over the last decade. The study builds on previous studies using submarine and NASA satellite data, verifying compatibility with CryoSat-2 satellite measurements.
A collaborative project by RDAV and University of Tennessee artist Evan Meaney has won the jury prize for Distributed Microtopias exhibition at FLEFF. The 'Null_Sets' artwork visualizes data size and structure using an open-source script, exploring the gap between data and information.
Researchers have found that commonly used algorithms for identifying patients with recurrent cancer are flawed and often mislead researchers. These algorithms rely on billing codes or secondary tumors to identify patients, but this approach can be inaccurate, as it may not distinguish between new cancers and recurrences.
A UC Riverside study reveals that many California graduate students in environmental sciences lack training in technology and computation, as well as data management practices. Only 29.3% of completed graduates had made their research data available online.
Scientists with NASA's Goddard Space Flight Center have restored the fully calibrated digital dust data from the Apollo 14 and 15 missions, allowing for long-term analysis of the lunar dust readings. This achievement is part of the Lunar Data Project, which aims to make scientific data from Apollo available in modern formats.
A new program will explore solutions for preserving high-energy physics data from the LHC, Fermilab Tevatron, and other research communities. The team aims to develop a global data and software preservation infrastructure.
A U-M analysis shows that removing payment for hospital-acquired catheter-associated urinary tract infections had negligible financial impact on hospitals. The study highlights the inaccuracies of billing data used to implement the policy, leading to unfair penalties for some hospitals.
A genome-wide association study identified several genes associated with hippocampal atrophy, a key feature of Alzheimer's disease. The study found novel associations between brain degeneration and genes in the APOE, F5/SELP, LHFP, and GCFC2 gene regions.
A research team led by Carnegie Mellon University has identified a major source of the US math achievement gap: inadequate knowledge of fractions and division. Fifth graders' understanding of these concepts predicted high school students' algebra knowledge and overall math achievement after controlling for other factors.
Researchers at the University of Granada developed a new software solution to predict urban noise levels using a dataset of street type, road conditions, and vehicle speed. The system has shown higher accuracy than traditional mathematical models, with a reliability of 95%, and will help perform urban noise mapping projects.