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.
A study found a significant link between low birth weight and left-handedness in two large sets of Japanese and Dutch newborn children. Left-handers averaged lower birth weights, with differences observed even within families.
The USGS and DOE have released a comprehensive dataset of U.S. wind turbine locations and characteristics, enabling accurate planning and research. The database contains over 57,000 turbines and allows users to search and sort the wind fleet by various criteria.
Researchers used synthetic-aperture radar data from four satellites to analyze the Lake Urmia Causeway in Iran, finding accelerated deformation due to soil consolidation and human activity. They also developed a predictive model for future deformation, highlighting the potential of space-based monitoring for critical structures.
Researchers developed a new method to train computers to better recognize objects in the real world by using virtual reality. A virtual dataset called ParallelEye was created, allowing for diverse and realistic images of various scenes, which significantly improved performance on object detection tasks.
Researchers analyzed 136 million keystrokes from 168,000 volunteers to identify what makes a faster typist. The study found that the fastest typists use rollover typing, where they press the next key before the previous one is released, and display different typing styles.
A team of computational biologists developed an algorithm to integrate multiple sequencing datasets at single-cell resolution. This approach enables the comparison of single-cell datasets and dissects differences between them.
Researchers have created a massive 13 million-person family tree using genealogy data, revealing trends in marriage, migration, and longevity. The study found that people are more likely to marry fourth cousins than seventh cousins, and that women in Europe and North America have migrated more than men.
A new study finds that over 99% of Chicagoland wetlands are home to non-native plant species, with reed canary grass dominating many sites. The research highlights the importance of considering ecosystem function and functional values in restoration efforts in urban areas.
The Clinical Epidemiology Database aims to facilitate collaboration among researchers by providing a standardized platform for accessing and exploring complex clinical data. The database, launched by the University of Pennsylvania, introduces an intuitive interface and provides documentation of study design and background.
The USC-led ATLAS project has compiled a large dataset of brain scans from stroke patients, which is now available for download. Researchers are using this dataset to develop and test algorithms that can automatically process MRI images from stroke patients, aiming to identify biological markers for personalized treatment plans.
LMIC researchers face concerns over national ownership and unequal publishing opportunities when sharing open datasets. To address these issues, increased investment in LMIC data management infrastructure and international policy frameworks are proposed.
Researchers have developed a new method that can accurately estimate biodiversity at a global scale, up to 10 orders of magnitude. The study used the 1999 Great Britain Countryside Survey dataset and tested over a dozen methods, with one model providing estimates within 10% of the true value.
Researchers used a combination of conventional and remotely-sensed climate measurements to model the future distributions of bamboo species in southwestern China. This approach increased confidence in model results, providing valuable guidance for conservation planning and nuanced decision-making.
Researchers developed codes MENNDL and RAVENNA to efficiently design and train neural networks, generating and training up to 18,600 networks simultaneously. This enables the training of highly accurate networks in a fraction of the time, with applications in self-driving cars, intelligent robots, and scientific experiments.
The CARICOMP program found significant decreases in water quality at 42% of the monitoring stations across the Caribbean basin. Despite expected increases in water temperature due to global warming, no such changes were detected in the data set.
A computational study by Queen Mary University of London has identified Botswana as the country with the most distinct musical recordings globally. The researchers found that China has the most spatial outliers compared to its neighboring countries, highlighting unique timbral characteristics such as the butterfly harp string instrument.
Scientists at Vrije Universiteit Amsterdam found that averaging all estimates yields significant accuracy gains, especially when considering multiple people. Taking the average of estimates from different individuals is a more effective approach for good decision-making than relying on personal expertise.
Scientists analyze NASA data to investigate solar storm impact on cetaceans' internal compasses. While space weather is not primary driver of strandings, it may be one factor among several contributing to the phenomenon.
Researchers developed a computational tool that combines cellphone records with satellite and geographic information systems to create timely and incredibly detailed poverty maps. The study focused on Senegal, creating maps detailing the poverty levels of 552 communities.
A new study by researchers at LMU Munich confirms that sponges are the oldest animal group, contradicting previous findings that suggested comb jellies were the first. The team used a refined method to analyze genetic data and found that sponges' simple multicellular structure is more primitive than initially thought.
Recent genomic analyses have flipped between whether sponges or comb jellies are the oldest lineage of living animals. New research by Professor Davide Pisani reveals that sponges are the most ancient lineage, with models that describe the data poorly favouring comb jellies and those that better describe the data favouring sponges.
A new study finds that in-store product sampling has both immediate and sustained effects on sales, with smaller stores benefiting more. The model also reveals that repeated sampling for a single product increases returns and expands product categories.
Researchers efficiently used Stampede2's 1024 Skylake processors to complete a 100-epoch ImageNet training with AlexNet in 11 minutes, setting the fastest time recorded to date. The Layer-Wise Adaptive Rate Scaling (LARS) algorithm enabled this breakthrough, allowing for larger-than-ever batch sizes and adaptive learning rate adjustments.
The Illinois Waterway has successfully recovered following the passage of the 1972 Clean Water Act, according to a study published in BioScience. The authors used a robust data set to demonstrate a strong linkage between water quality and the rebound of fish populations.
Scientists have now shown that individual neurons in the mouse brain often spool out spindly fibers nearly half a meter long. The team's dataset and analysis tool, MouseLight NeuronBrowser, offer new insights into how elaborately-branching neurons route information in the brain.
The Energy efficiency Data Portal & Protocol (EeDaPP) Initiative aims to create a standardized reporting template for loan-by-loan energy efficient mortgage assets. This will enable large-scale tracking of performance and facilitate earmarking for energy efficient bond issuance.
Scientists have unveiled a dataset mapping diverse migrant communities in the EU, providing insights for policymakers to develop targeted integration policies. The maps reveal residential patterns of migrants by nationality or country of origin, highlighting concentration, diversity, and segregation within cities.
Researchers developed a method to extract Higgs boson signal from noise data using quantum-compatible machine learning techniques, outperforming standard counterparts even with small datasets. The new approach is expected to be useful for problems beyond high-energy physics.
The Critical Assessment of Metagenome Interpretation (CAMI) Challenge evaluated computational tools for metagenomes, assessing assemblers, binners, and taxonomic profilers. The benchmarking results provide performance overviews for developers and applied scientists, informing the selection of suitable software for research questions.
The university's researchers compiled a large solar dataset from NASA's Solar Dynamics Observatory mission, making several hundred thousand solar events available to the public. The dataset has improved the quality of the data and will accelerate computer vision research on these solar images.
Researchers found a lower density in Mars' crust, indicating possible porosity, which could impact the planet's formation and evolution. The new gravity map reveals variations in crust thickness beneath volcanoes.
A recent study published in BMC Ecology found that grey mouse lemurs with high hair cortisol levels had a lower chance of survival. The researchers discovered that low cortisol levels were associated with a 13.9% higher chance of survival compared to those with high levels.
The study examined three types of distracting elements: sensorimotor, cognitive, and emotional. Researchers found that texting led to more dangerous driving, while a 'sixth sense' protected drivers from emotional upset or absent-mindedness.
Researchers from NIST and Michigan State University have developed an algorithm that automates the key decision point in fingerprint analysis, reducing human subjectivity and improving reliability. The new system uses machine learning to score latent prints based on their quality, allowing for more efficient processing of evidence.
The study found that brain activity in regions called the default mode network represent a kind of higher-level processing, building up representations of what's happening in the world around us. Participants who had previously watched the 'Sherlock' episode could anticipate events and recall them in the same order, suggesting that chu...
Researchers investigated hydro-edaphic conditions in two savanna areas, sampling 20 permanent plots and classifying 128 plant species into 34 families. The study highlights the importance of conservation in this ecosystem, which has been rapidly modified by agribusiness.
A new phylogenetic tree resolves key relationships among vertebrates, including the identification of lungfishes as closest living relatives of land vertebrates. The study uses a novel set of analyses for building large-scale genomic datasets.
Researchers from MIT's CSAIL developed an AI system called Pic2Recipe that can analyze photos of food and predict ingredients and suggest similar recipes. The system was trained on a database of over 1 million recipes and showed impressive results, particularly with desserts like cookies or muffins.
A new dataset provides improved representation of solar variability, enabling more accurate climate model simulations and distinguishing natural from anthropogenic processes. The dataset includes enhanced estimates of solar forcing and particle effects, which may counteract rising Earth temperatures.
A new study analyzing multiple ocean datasets reveals that the oceans are robustly warming, regardless of data used. The heat redistribution among global oceans experienced a significant shift over several decades.
A new tool called Wide-Open identifies overdue scientific datasets and encourages their public release. The system uses text mining to detect dataset references in published articles and enforces open data policies.
Computer scientists and social scientists collaborate to create Collaborative Interaction Corpus (CIC) dataset, featuring 135 participants' online activity and discussion data. The dataset can be used to address various computer-science questions, including predicting user behavior and machine learning.
Researchers designed UltraTracer to work with existing algorithms, turbo-charging them for faster processing and larger datasets. The software can compare tens of thousands of neuron shapes to better understand cell types.
A new AI-based image detection method has shown promise in screening for cervical cancer, detecting abnormalities with higher sensitivity and specificity than traditional methods. The technique, developed by Lehigh University researchers, could be used to improve early detection and treatment of the disease in resource-poor regions.
Scientists at Diamond Light Source developed a new Pan-DDAA method to extract clear detail from X-ray diffraction data. The approach identifies noise sources and removes them, exploiting the ability of Diamond's beamline to repeat measurements quickly.
A recent article showcases long-term international collaboration in atmospheric sciences through annotated group photographs from two workshops, separated by over 95 years. This highlights the importance of human connection in scientific research and the value of visual datasets.
A new study published in the European Journal of Political Research reveals that women's civil rights are essential for countries to become fully democratic. The research indicates that the failure to foster women's rights compromised any attempt at democratic governance in the Arab Spring countries.
Researchers at TGen have created the largest dataset to date of extracellular small RNAs, potential biomarkers for diagnosing medical conditions like concussions. The dataset was amassed from ASU student-athletes' biofluids and helmet sensor data, aiming to develop new diagnostic and therapeutic tools.
Researchers at Umeå University have created detailed 3D maps of the insulin-producing cells in the pancreas. The data includes information on cell volume and coordinates, providing a valuable resource for studying diabetes.
A new RAND Corporation study analyzes over 200 real-world zero-day software vulnerabilities, establishing initial baseline metrics that can augment other studies. The research finds that zero-day vulnerabilities have an average life expectancy of 6.9 years, making public disclosure a moderate level of protection.
The Hyper Suprime-Cam Subaru Strategic Program has released its first public dataset, containing almost 100 million galaxies and stars. This dataset will enable scientists to explore the nature of dark matter and dark energy, as well as study the formation and evolution of galaxies.
A new study reveals that plants domesticated by pre-Columbian peoples are more likely to dominate Amazonian forests, with 85 species showing significant impacts from past human influence. The research suggests a lasting impact of human activities on plant distribution and could aid in uncovering unidentified areas of past civilization.
The HSC-SSP survey has released its first public dataset, containing 70 million galaxies and stars. The data reveals the statistical properties of dark matter, building on previous discoveries of nine clumps of dark matter in 2015.
Researchers found that resistant soybean varieties yield more than susceptible ones even at low SCN infestation levels, with a yield advantage seen in environments with no SCN infestation. Despite mounting pressure from nematodes, varieties with PI 88788-resistance still provide moderate resistance and produce good yields.
Researchers improve methods to study Earth's history by addressing bias in data from old rocks. New technique reduces errors, providing more accurate paleointensity measurements.
A team of scientists has released the largest collection of observations made with radial velocity to be used for hunting exoplanets. The dataset includes almost 61,000 measurements of more than 1,600 nearby stars and has detected over 100 potential exoplanets, including one orbiting GJ 411.
Researchers discovered a strong behavioural rule, the rule of random attraction, that explains how complex patterns of collective movement emerge in zebrafish as they develop from larvae to adults. Younger fish spend less time applying this rule, resulting in fewer schools, while adults do more, leading to group formation.
Researchers at Tel Aviv University analyzed 15,000 bat vocalizations to identify concrete evidence of socially sophisticated species that learns communication. They found that bat calls contain information about the identity of the caller and addressee, as well as specific aggressive context and possible outcome of conversation.
A statistical approach called tree bootstrapping can accurately assess uncertainty in RDS studies, enabling researchers to draw firm conclusions about vulnerable groups. This method has been applied to existing and future RDS studies, providing a basis for policy responses.
The KAT tool analyzes K-mer datasets to identify error levels, biases, and contamination in sequencing data. It also checks genome assemblies for completeness and accuracy without external reference data.