Articles tagged with Data Sets
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
The Pofatu Database provides a comprehensive compilation of geochemical analyses and contextual information for archaeological sources and artefacts. It enables researchers to reconstruct ancient strategies of raw material and artefact procurement, facilitating comparability and reproducibility in provenance studies.
Researchers developed a deep-learning framework called Morpheus to perform pixel-level morphological classifications of objects in astronomical images. The tool can handle complex images and provide detailed classification results with confidence levels.
A new high-resolution 3D map of the mouse brain has been published, providing a reference atlas for the neuroscience community. The map enables whole-brain studies and improves research by allowing researchers to precisely co-register different types of data, enabling bigger-picture views and comparisons.
Researchers found that winning back lost customers can lead to increased profits, but requires a failure-tolerant organizational culture that encourages open discussion and accountability. Successful reacquisition management also involves establishing guidelines for employees to follow when addressing customer defections.
The TACC COVID-19 Twitter dataset enables researchers to analyze social media communications and identify trends in pandemic responses. The dataset, which contains over 40 million tweets, can be used for topic modeling, entity analysis, and event detection, facilitating discoveries about the spread of misinformation and racist messaging.
A new study found that men are over twice as likely to die from COVID-19, with older men and those with underlying conditions being particularly at risk. The research suggests that additional supportive care may be necessary for these groups.
Researchers propose a new methodology to alter survey datasets to protect consumer privacy, preserving reasonable accuracy. Survey data is vulnerable to breaches and unauthorized use, with some employees stealing sensitive data from their former companies.
A new study finds that teachers exhibit almost identical levels of pro-White racial bias as non-teachers, highlighting the need for additional support and training to mitigate implicit biases in schools. The research suggests that schools are microcosms of society, and teachers require help in combating their biases.
The new dataset, published in PLOS ONE, analyzed 15,506 instances of social scientists' testimony and found that economists testified more than four times as often as political scientists and over 10 times as often as sociologists. Economists also represented think tanks, while anthropologists had the lowest rate of testimony.
Researchers found that state-of-the-art ASR systems performed worse on black speakers than white speakers, with error rates of 0.35 and 0.19 words per hour respectively. The study attributes these disparities to limitations in the acoustic models' ability to capture African American Vernacular English pronunciation and prosody.
Researchers at University of Münster develop AI tool to predict reaction outcomes using molecular structures, enabling accurate predictions for yields and stereoselectivities. The model can be applied to diverse reactions and is expected to significantly change the approach to chemical syntheses.
Using DES data, researchers found more than 300 trans-Neptunian objects, including 245 discoveries made by DES. The method developed by Pedro Bernardinelli can also be used to search for TNOs in upcoming astronomy surveys.
Agriculture-Vision dataset enables farmers to analyze aerial images and gain actionable insights into crop performance. The dataset, developed by researchers at the University of Illinois Grainger College of Engineering and Intelinair, includes over 100,000 images from corn and soybean fields across the Midwest.
A team of researchers developed a standardized survey tool to collect data on rural households. The Rural Household Multi-Indicator Survey (RHoMIS) includes over 30,000 interviews from 33 countries and provides insights into smallholder farming practices, climate change, and social inclusion.
Researchers found that social banks produce smaller returns to their owners, remunerate depositors at below market interest rates, and grant loans below market interest rates. This supports the hypothesis that ownership explains the results, as stakeholder banks exhibit different interest rate behavior.
The World Karst Spring hydrograph dataset (WoKaS) offers a comprehensive collection of over 400 karst spring discharge data, providing valuable insights into the world's fastest-flowing groundwater. This database supports trend analyses, impact studies, and model evaluations for sustainable water management.
A system created by MIT researchers can pinpoint and replace specific information in Wikipedia sentences while retaining humanlike grammar and style. This technology has potential to automatically update factual inconsistencies in Wikipedia articles, reducing time and effort spent by human editors.
A study of over 760,000 restaurant reviews found that location bias affects 98% of restaurants, altering customer consideration by up to 16%. Improved ranking systems can lead to higher reviewer satisfaction (up to 12%) and more diversified top-restaurant recommendations (up to 24%).
A new AI method combines incomplete medical datasets to spot causal relationships, allowing researchers to analyze expensive or difficult-to-run trials. The algorithm uses quantum cryptography-inspired principles to determine the most disordered variable as the cause.
A research project compares records from Augsburg and Aberdeen to analyze city administrations, evolution, similarities, and differences. The collaboration aims to develop new analysis techniques and share ideas on challenges and solutions.
A new interactive map from Harvard University reveals nonviolent uprisings are more successful in achieving their goals, contrary to long-held assumptions. The dataset covers 1945-2014 and includes hundreds of maximalist campaigns globally.
Researchers develop technique to evaluate reliability of patient risk models, which often fail to accurately predict outcomes. The method generates an unreliability score, indicating when a model's predictions are less trustworthy, helping doctors avoid ineffective or unnecessarily risky treatments.
Researchers developed RoadTagger to predict lane counts and road types with high accuracy, helping improve GPS navigation in unfamiliar locations. The model uses a combination of neural network architectures to automatically tag road features, enabling the creation of accurate digital maps.
The Ruhr-University Bochum team used a combination of data analytics and physical models to predict material properties, winning second place in an international machine learning competition. Their algorithm was published in NPJ Computational Materials and has been shown to be transferable to different material classes.
Researchers found that standard pathology tests provide better information on likely outcome and best treatment options for patients with bladder cancer than molecular subtyping techniques. The study suggests that more study is needed before molecular subtypes are used to guide patient care.
Researchers from the Chinese Academy of Sciences conducted model perturbation experiments to improve monsoon predictions. The study sheds light on the complex atmosphere-ocean-land interactions driving monsoon systems and their regional variations.
Researchers at Dartmouth College and Harvard Medical School have confirmed that single-cell eukaryote Stentor roeseli can make complex decisions, demonstrating avoidance behavior and a hierarchy of responses to stimulus. The study uses modern technology to recreate an early experiment that was debunked decades ago.
A team from Colorado State University has created a novel dataset, AquaSat, by merging large public datasets of water quality observations with satellite imagery. This 'symphony of data' provides over 6 million water quality observations, unlocking powerful new applications in remote sensing of water quality. The study aims to improve ...
A new analysis of a dataset of over 70,000 North American migratory birds found that body size decreased in all 52 species, with statistically significant declines in 49 species, while wing length increased in 40 species. The study suggests that warming temperatures may be causing these changes as an adaptation to climate change.
Researchers developed AI models for chest X-ray interpretation that can detect fractures, nodules, opacity and pneumothorax as effectively as experienced radiologists. The models were trained on large datasets and evaluated using a panel of radiologists to increase expert consensus and accuracy.
Researchers can now visualize data from samples containing tens of millions of cells with unprecedented resolution, pinpointing previously undetectable features that distinguish diseased samples from controls. This advancement may lead to discovery of novel cell types to therapeutically target diseases.
A recent study by researchers at SESYNC found no concrete evidence to attribute the effects of the Justinianic Plague to the pandemic. The team examined diverse datasets, including written sources, inscriptions, and pollen samples, but found that trends continued without change before and after the plague outbreak.
A new method accelerates template creation for medical-image analysis, generating brain scan templates based on patient attributes such as age and sex. The model can synthesize atlases from sparse data, improving disease diagnosis accuracy.
A new program, CRUP, simplifies analysis of enhancer regions and their target genes in the genome. The tool identifies active enhancers and links them to their respective genes, helping researchers understand complex diseases.
Researchers found that satellite data sets are reliable substitutes for reproducing water vapor features over the Tibetan Plateau, while reanalysis data sets have varying quality depending on time scales considered. A skill-weighted ensemble mean of reanalysis data shows promise for future studies.
A new machine learning method called SNIPER has successfully applied to nine cell lines, providing missing information for how DNA is organized in the cell nucleus. This enables scientists to study differences in spatial organization related to subcompartments across those lines.
Researchers at MIT have compiled a comprehensive dataset of robotic pushing dynamics, capturing the behavior of hundreds of different objects. This dataset, called Omnipush, enables robots to learn fundamental object manipulation tasks, such as reorienting and inspecting objects, by training on a diverse range of pushing scenarios.
Deforestation in the Amazon region has been shown to increase malaria transmission by 3.27% for every 10% increase in forest loss. This effect is more pronounced in areas with limited remaining forest, highlighting the interconnectedness of environmental and human health.
Cognitive psychology researchers found substantial variability in experts' judgments on the same data, suggesting a serious inference problem. The study aimed to test the accuracy of theoretical conclusions made by researchers and found that some applied complex techniques, while others made misleading conclusions.
A newly funded project aims to transform urban systems by developing a system for streamlining and managing vast datasets. The 'sketching' algorithm extracts essential information from raw data, creating abbreviated versions that can be consulted for research purposes.
Researchers analyzed fossil data to discover nearly all early African herbivore communities were unique before 700,000 years ago. This suggests the earliest humans lived in non-analog ecosystems that differ from modern Africa's ecosystems.
Researchers create formula to calculate resolution of protein structures based on viewing angles, enabling better methods for imaging proteins. This new approach helps determine the best setup for experiments to improve cryo-EM imaging.
A study of over 37,000 users reveals that smartphone typing speeds are decreasing the gap between mobile devices and physical keyboards. Young people aged 10-19 years old can type around 10 words-per-minute faster than their parents' generation.
The new laboratory combines existing and new facilities, fostering innovative scientific programs, idea exchange, and creative development in ground-based optical-infrared astronomy. The lab enables breakthrough discoveries in astrophysics by developing state-of-the-art observatories and providing data products for a diverse community.
A study found that water contamination violations associated with immediate health risks led to a 14% increase in bottled water sales. However, low-income rural communities did not show a significant response to nitrate violations, which pose a risk to infants.
Since 1970, North America has experienced a significant decline in bird populations, with nearly one in four species losing abundance. The study attributes this loss primarily to 12 bird families, including songbirds, and highlights the need for conservation efforts to prevent further declines.
Researchers develop novel data analysis method to evaluate single crystal structures, reducing researcher effort and iteration time. The method uses Bayesian inference to estimate parameters from preliminary data, allowing for precise crystal selection and measurement design.
A study published in the Journal of the American Heart Association estimates that black men have a 30% lifetime risk of peripheral artery disease (PAD), while Hispanic men have a 22% risk. The researchers developed a risk calculator to identify high-risk patients who may benefit from PAD diagnostic screening.
Researchers at Janelia Research Campus have mapped over 1,000 neurons in the mouse brain, tracing their branching routes to understand how messages travel through it. The preliminary data reveal new clues about the mouse brain's wiring diagram, including clusters of neurons and regions where they can't be easily delineated.
A recent study analyzed 100,000 localized seismic events to search for patterns in the data. Researchers found that earthquakes of differing magnitudes share more similarities than previously thought, suggesting predictable characteristics may aid forecasting.
The Blue Brain researchers have generated statistical instances of the micro-connectome of 10 million neurons, a model spanning five orders of magnitude and containing 88 billion synaptic connections. This model reveals a surprisingly complex structure at cellular resolution, tying together neurons in different regions and at opposite ...
A new study suggests a possible link between environmental pollution and an increase in psychiatric disorders. Poor air quality was associated with higher rates of bipolar disorder, major depression, schizophrenia, and personality disorders in both US and Danish populations.
Researchers evaluated satellite and reanalysis PWV datasets against radiosonde observations in Central Asia, finding ERA5 and MERRA2 perform better in climatological characteristics and interannual variations. The study provides valuable information for future research on water cycle in Central Asia.
The All of Us Research Program has made strong progress in advancing precision medicine by collecting diverse participant data. The program aims to include 1 million or more people from diverse communities, with over 230,000 participants enrolled and 80% from underrepresented groups.
A new analysis of state, county, and federal data shows a significant decline in criminal sentencing racial gaps since the mid-1990s. The overall sentence length gap between whites and blacks in federal courts decreased by more than 80% between 1996 and 2016.
The project aims to advance research by creating a resource for researchers around the globe to access data on craniofacial development and dysmorphologies. Craniofacial conditions affect approximately 600,000 people in the US, with cleft lip and palate being amongst the most common birth defects.
Researchers from the University of Maryland developed a novel approach to generate questions that challenge AI language models. By collaborating with humans and computers, they created a dataset of over 1,200 computer-stumping questions that revealed six different language phenomena consistently stumping computers. This work provides i...
A recent study published in The Lancet found an AI model can identify patients with intermittent atrial fibrillation using a 10-second ECG test. The technology achieved an overall accuracy of 83% and has the potential to aid doctors investigating unexplained strokes or heart failure.
Researchers demonstrate that even anonymized datasets can be traced back to individuals using machine learning. The study shows that allowing data to be used for AI training while preserving people's privacy requires more than de-identification techniques.
Researchers at Rush University Medical Center have developed a new composite ranking system that aggregates data from five leading hospital rating systems into a single score. This system aims to provide consumers with a clear and easily understandable measure of hospital quality, helping them make informed decisions about their care.