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analytical specificity; data analysis; data quality
Abstract:
... W. R. Gardner's recent method for determining capillary conductivity from the transient outflow of a slab following a small step-change of pressure has been extended to cases in which the impedance of the supporting membrane or porous plate must be taken into account. From this theoretical result a practical method is developed employing all of the experimental data (not just the exponential tail) ...
data quality; evaporation; evaporimeters; evapotranspiration; heat; irrigated farming; microclimate; rooting; Western United States
Abstract:
... Certain of the many procedures for indirect estimation of consumptive use are discussed including the Blaney-Criddle, Thornthwaite and Penman methods as well as evaporimeters such as atmometers and evaporation pans. The applicability and limitations in use of these procedures are analyzed including type and quality of data available, microclimatic effects and use of derived information. Problems i ...
air; data quality; soil; temperature; tensiometers
Abstract:
... A system for simultaneous flushing of a large number of tensiometers is described. It includes a multiple shutoff valve and a manometer with movable bottom. Flushing procedures are described; they are fast and simple. It can be used with any direction of installation of tensiometers or tubing, for instance, when all tubing is kept below the soil surface to reduce temperature fluctuations. A concen ...
data quality; equations; prediction; soil temperature; thermal diffusivity
Abstract:
... Field-measured values of soil temperature were used to calculate the apparent thermal diffusivity of the upper 10 cm of soil with six different methods. The limitations of the six methods were analyzed both in terms of the calculated results, and for the quantity and quality of data required to make the calculations. Four of the six methods, Amplitude, Phase, Arctangent, and Logarithm, provided ex ...
... The objectives of a National Hydrometric Reference Network for New Zealand are specified, and the necessary standards for data collection are defined. Data are collected in New Zealand by several agencies, and a data quality assurance programme must be designed and administered to take account of this. The programme involves the full range of practices, from providing manuals and adequate staff tr ...
... A few aspects of spatial variability, connected with climate variability, in the Rio de la Plata basin are analysed through changes in the basin runoff considered as indicative of the annual integrated precipitation. Those changes contain better information on climate variability than the sparse records of precipitation and temperature in view of the high spatial and temporal variability of those ...
data quality; sheep; skinning; solar drying; tea; teams
Abstract:
... The aim of this study was to present data for preparing quality standard of sun dry sheep skins. Samples used for this study were 70 sides of sun dry sheep skins in various quality ranging from first to rejected onegraded by skin colectors and tanners in Java, which were radomli taken. Visually, they were classified into several classes by the tea in accordance with qualitative value of theoretica ...
correspondence analysis; data quality; databases; developed countries; developing countries; hydrology; information management; meteorological data; multivariate analysis; rain; watersheds; Uruguay
Abstract:
... Most research on hydrology in developed countries does not emphasize problems that are often encountered by hydrologists in developing countries, problems such as the scarcity and poor quality of data. In developing countries the available data base is often a major constraint and a limiting factor in any hydrological study. This paper analyses the consistency of a network of nonrecording raingaug ...
agronomy; computers; data quality; models; quality control; spatial data; terminology
Abstract:
... Agronomic models are traditionally used for point or site-specific applications due to limitations in data availability as well as computer technologies. Interfacing geographic information systems (GIS) with agronomic models is attractive because it permits the simultaneous examination of spatial and temporal phenomena. The objective of this review is to examine strategies for interfacing GIS with ...
J. Michael Reed; L. Scott Mills; John B. Dunning Jr.; Eric S. Menges; Kevin S. McKelvey; Robert Frye; Steven R. Beissinger; Marie‐Charlotte Anstett; Philip Miller
computer software; data quality; endangered species; extinction; genetics; models; population growth; population size; population viability analysis; risk
Abstract:
... Population viability analysis (PVA) has become a commonly used tool in endangered species management. There is no single process that constitutes PVA, but all approaches have in common an assessment of a population's risk of extinction (or quasi extinction) or its projected population growth either under current conditions or expected from proposed management. As model sophistication increases, an ...
... Concurrent and coincident measure of penetrometer cone resistance (PR) and water content (WC) were optimized by hourly in-field validation of data from time domain transmissiometry (TDT) for WC and piezoelectric force sensor for PR. A piezoelectric force sensor coupled to a cone is followed by a helical wrapped TDT sensor on a single penetrometer shaft. Detailed laboratory calibrations, coupled wi ...
adults; data quality; dietary fat; dietary protein; energy; females; food intake; human growth; males; malnutrition; mortality; nutrient availability; nutritional adequacy; protein intake; public policy; risk factors; China
Abstract:
... Malnutrition, as measured by anthropometric status, is a powerful risk factor for illness and elevated death rates throughout life. Understanding the relative importance of disease, dietary quantity, and dietary quality in causing malnutrition is therefore of major importance in the design of public policy. This paper contributes to the understanding of the relative importance of quantity and qual ...
data quality; databases; quality control; river flow; Northern Ireland
Abstract:
... The end user of river flow data may have no knowledge of the quality control measures applied in their generation. Therefore, an independent quality indicator is needed to give confidence in their use. The use of long-term flow duration curves as an indicator of data quality is proposed. This method visually highlights irregularities in river flow data and enables the type and location of the erro ...
World Health Organization; caregivers; children; cleaning; data quality; infants; locomotion; motor development; quality control; walking; Ghana; India; Norway; Oman; United States
Abstract:
... The objective of the Motor Development Study was to describe the acquisition of selected gross motor milestones among affluent children growing up in different cultural settings. This study was conducted in Ghana, India, Norway, Oman, and the United States as part of the longitudinal component of the World Health Organization (WHO) Multicentre Growth Reference Study (MGRS). Infants were followed f ...
data quality; electrical conductivity; salinity; sodium chloride; time domain reflectometry; uncertainty; water content
Abstract:
... We used an automatic network analyzer (ANA) operated in both time and frequency domain modes to investigate the measurement accuracy of metallic time domain reflectometry (TDR) probes operated in sands saturated with NaCl solutions of varying electrical conductivity (EC). We chose to use time domain transmission (TDT) measurements for this investigation to separate the effect of the bulk soil-prob ...
World Health Organization; anthropometric measurements; data quality; equipment; models; monitoring; protocols; teams
Abstract:
... Thorough training, continuous standardization, and close monitoring of the adherence to measurement procedures during data collection are essential for minimizing random error and bias in multicenter studies. Rigorous anthropometry and data collection protocols were used in the WHO Multicentre Growth Reference Study to ensure high data quality. After the initial training and standardization, study ...
Cervus elaphus; carrying capacity; data quality; deer; gender differences; harvesting; income; issues and policy; models; mortality; population size; stags; uncertainty; Scotland
Abstract:
... When hunting species in which the sexes differ substantially in value, sex‐selective harvesting can increase income dramatically. In some hunted species, for example the red deer Cervus elaphus in Scotland, there are also marked ecological differences between the sexes. In red deer, stag mortality and dispersal rates are substantially higher when hind densities are high. Hence, there is a trade‐of ...
Oryza sativa; agronomy; cluster analysis; cultivars; data quality; farmers; rice; temporal variation; variance; California
Abstract:
... Currently, little is known about the spatial and temporal variability of rice (Oryza sativa L.) yield patterns. This information is needed before implementing any site-specific management strategy. The objective of this research was to characterize the spatial and temporal yield variability of rice grown in commercial fields in California. Rice cultivars M-202 and Koshihikari were grown and manage ...
biodiversity; case studies; computer software; conservation areas; data quality; ecosystems; expert opinion; land use change; mountain resorts; people; recreation; research and development; tourism; Canada
Abstract:
... Mountain resort communities in North America depend on tourism and recreation for their economic viability. Heavy recreation and other anthropogenic activities such as land conversion for development directly threaten mountain ecosystems. To maintain beneficial ecosystem services and preserve the characteristics that draw people to the area, there is much interest in setting aside conservation res ...
algorithms; data quality; hydrologic models; neural networks; runoff; watersheds
Abstract:
... Artificial neural networks (ANNs) are general-purpose techniques that can be used for nonlinear data-driven rainfall–runoff modelling. The key issue to construct a good model by means of ANNs is to understand their structural features and the problems related to their construction. Indeed, the quantity and quality of data, the type of noise and the mathematical properties of the algorithm for esti ...
USDA; data quality; databases; field experimentation; half life; hexazinone; leaching; models; particle size distribution; pesticidal properties; picloram; prediction; procymidone; silt loam soils; solutes; sorption; triclopyr; New Zealand
Abstract:
... Accurate input data for leaching models are expensive and difficult to obtain which may lead to the use of “general” non-site-specific input data. This study investigated the effect of using different quality data on model outputs. Three models of varying complexity, GLEAMS, LEACHM, and HYDRUS-2D, were used to simulate pesticide leaching at a field trial near Hamilton, New Zealand, on an allophani ...
data quality; developing countries; disability-adjusted life year; economic costs; economic productivity; gross domestic product; humans; hunger; income; malnutrition; nutrition; public health; India
Abstract:
... Micronutrient malnutrition is a public health problem in many developing countries. Its negative impact on income growth is recognized in principle, but there are widely varying estimates of the related economic cost. To discuss available studies that quantify the cost of micronutrient malnutrition, and to develop an alternative framework and apply it to India. Detailed burden of disease calculati ...
climate; climate change; confidence interval; data analysis; data quality; temperature
Abstract:
... A climatic reconstruction published in E&E (Loehle, 2007) is here corrected for various errors and data issues, with little change in the results. Standard errors and 95% confidence intervals are added. The Medieval Warming Period (MWP) was significantly warmer than the bimillennial average during most of the period 820 – 1040 AD. The Little Ice Age was significantly cooler than the average during ...
Lupinus perennis; Lycaeides melissa samuelis; butterflies; cost effectiveness; data quality; habitats; host plants; larvae; nectar; sample size; New York
Abstract:
... Habitat monitoring typically requires a large amount of effort and resources. Project managers are likely to consider cost-cutting options but they may not critically review the information costs of implementing those options. An effort recently began in New York State to monitor critical habitat and restoration progress aimed at recovering the federally endangered Karner blue butterfly (Lycaeides ...
... The exact and reliable determination of non-structural carbohydrates (NSC) in wood samples of different origin allows to gain further insight into the biogeochemical carbon cycle, i.e. processes that determine how carbon – and carbon dioxide – migrate between the land, the sea and the atmosphere. Plants are an essential part of this cycle using carbon dioxide in photosynthesis and locking up carbo ...
biodiversity conservation; biogeography; data quality; habitats; sample size; Southern Africa
Abstract:
... To review some of the applications in ecology and conservation biogeography of datasets derived from atlas projects. We discuss data applications and data quality issues and suggest ways in which atlas data could be improved. Southern Africa and worldwide. Atlas projects are broadly defined as collections or syntheses of original, spatially explicit data on species occurrences. We review uses of a ...
analytical methods; coordination polymers; data quality; nanopores; zeolites
Abstract:
... This tutorial review describes the role of synchrotron-based techniques in the study of the formation of Crystalline Nanoporous Framework Materials (CNFMs), such as zeolites, aluminophosphates (AlPOs) and metal organic frameworks (MOFs). Initially, a general formation process for CNFMs is described and the ‘tool kit’ (including synchrotron and non-synchrotron-based techniques) used to examine this ...
... Gene expression-profiling data are necessary to understand more clearly the differential gene expression that occurs in biological developmental process. This study is aimed to compare the differential gene expression between bulb and bulblet of Lycoris sprengeri, as to reveal the biological and molecular mechanisms in bulb development. Method: Two Digital Gene Expression tag profiling (DGE) libra ...
... The objective of this study was to develop a statistically based function for the estimmation of particle density of texturally diverse soils sampled from a reasonably large geographic area (~12,000 km2) to enhance further development of pedotransfer functions with regional application. Available soil physical property data were assembled for soil series mapped during five municipal-level soil inv ...
agricultural economics; alpine grasslands; cultural heritage; data quality; ecological value; grazing; issues and policy; models; surveys; tourism; willingness to pay
Abstract:
... In many environmental valuation applications standard sample sizes for choice modelling surveys are impractical to achieve. One can improve data quality using more in‐depth surveys administered to fewer respondents. We report on a study using high quality rank‐ordered data elicited with the best‐worst approach. The resulting “exploded logit” choice model, estimated on 64 responses per person, was ...
air; contractors; data quality; databases; drainage; engineering; equipment; gravity; industry; leasing; oil sands; oils; planning; production technology; quality control; steam
Abstract:
... This paper discusses production technology and project management developments in the Canadian oil sands industry, in the context of AMEC's experience as a consultant and EPCM service provider to lease holders, developers and operators. Mineable and in situ oil sands developments are described, along with methods for and challenges of various production types of in situ, including Cold Flow, Cycli ...
... To give a quantitative guide to sample size allocation for developing sampling designs for a food composition survey, we discuss sampling strategies that consider the importance of each food; namely, consumption or production, variability of composition, and the restrictions within the available resources for sample collection and analysis are considered., Here we consider two strategies: ‘proport ...
biodiversity; climate change; data quality; environmental science; invasive species; land management; natural history; pollination; taxonomy
Abstract:
... Natural history collections are an incomparable treasure and source of knowledge. Collected over centuries of field exploration, these repositories contain a sample of the world’s biodiversity, and represent a monumental societal investment in research and applied environmental science (Network Integrated Biocollections Alliance 2010). Knowledge derived from the 1.5–3 billion specimens (Ariño 2010 ...
data quality; ecological invasion; human population; indigenous species; introduced plants; invasive species; social factors; temperature; terminology; United States
Abstract:
... Previous studies on alien species establishment in the United States and around the world have drastically improved our understanding of the patterns of species naturalization, biological invasions, and underlying mechanisms. Meanwhile, relevant new data have been added and the data quality has significantly increased along with the consistency of related concepts and terminology that are being de ...
Internet; data quality; hydrology; livestock; meadows; species diversity; wetlands; wildlife; Southwestern United States
Abstract:
... BACKGROUND: Wet meadows occur in numerous locations throughout the American Southwest, but in many cases have become heavily degraded. Among other things they have frequently been overgrazed and have had roads built through them, which have affected the hydrology of these wetland ecosystems. Because of the important hydrologic and ecological functions they are believed to perform, there is current ...
Internet; National Science Foundation; arthropods; cost effectiveness; data quality; databases; infrastructure; insect collection; insects; metadata; Midwestern United States
Abstract:
... InvertNet, one of the three Thematic Collection Networks (TCNs) funded in the first round of the U.S. National Science Foundation’s Advancing Digitization of Biological Collections (ADBC) program, is tasked with providing digital access to ~60 million specimens housed in 22 arthropod (primarily insect) collections at institutions distributed throughout the upper midwestern USA. The traditional wor ...
Saccharomyces cerevisiae; data quality; databases; prediction; yeasts
Abstract:
... Recent high-throughput experiments have produced a wealth of heterogeneous datasets, each of which provides information about different aspects of the cell. Consequently, integration of diverse data types is essential in order to address many biological questions. The quality of any integrated analysis system is dependent upon the quality of its component data, and upon the Gold Standard data used ...
European Union; data quality; museums; natural history; quality control; universities
Abstract:
... Multimedia data held by Natural History Museums and Universities are presently not readily accessible, even within the natural history community itself. The EU project OpenUp! is an effort to mobilise scientific biological multimedia resources and open them to a wider audience using the EUROPEANA data standards and portal. The connection between natural history and EUROPEANA is accomplished using ...
... Systems biology aims to integrate multiple biological data types such as genomics, transcriptomics and proteomics across different levels of structure and scale; it represents an emerging paradigm in the scientific process which challenges the reductionism that has dominated biomedical research for hundreds of years. Systems biology will nevertheless only be successful if the technologies on which ...
computer software; data quality; research projects
Abstract:
... The paper presents new ideas in the International SQuaRE (Software Quality Requirements and Evaluation) standardisation research project, which concerns the development of a special branch of international standards for software quality. Data can be considered as an integral part of software. The current international standard and technical report of the ISO/IEC 9126, ISO/IEC 14598 series and ISO/ ...
Monte Carlo method; carbon; case studies; coal; data quality; electricity; energy; fertilizer application; food industry; forestry; gasoline; humans; metabolism; natural gas; nitrogen; phosphorus; poultry industry; power generation; solar radiation; transportation; uncertainty; waste management; water utilities; watersheds
Abstract:
... A Multi-sectoral Systems Analysis (MSA) methodology is presented as a tool for identifying the level of importance of flows of energy and materials (water, nitrogen, phosphorus, and carbon) as they pass through an anthropogenically manipulated system. That system comprises a web of processes, across a total of five industrial sectors: water, forestry, food, energy and waste management. Given the h ...
birds; data quality; habitats; home range; inventories; monitoring; philopatry; planning; species richness; surveys; threatened species; tourists; urban areas; volunteers; Australia
Abstract:
... Among other outcomes, volunteer surveys are useful for evaluating conservation success and determining priorities for management actions. However, biases that can originate from untargeted and weakly structured surveys can undermine the utility of the data gathered. Identifying and rectifying biases and problems with such data require an understanding of the behaviour of volunteers. We explored th ...
Andrew Hill; Robert Guralnick; Arfon Smith; Andrew Sallans; Rosemary Gillespie; Michael Denslow; Joyce Gross; Zack Murrell; Tim Conyers; Peter Oboyski; Joan Ball; Andrea Thomer; Robert Prys-Jones; Javier de la Torre; Patrick Kociolek; Lucy Fortson
... Legacy data from natural history collections contain invaluable and irreplaceable information about biodiversity in the recent past, providing a baseline for detecting change and forecasting the future of biodiversity on a human-dominated planet. However, these data are often not available in formats that facilitate use and synthesis. New approaches are needed to enhance the rates of digitization ...
Internet; biodiversity; compliance; computer software; data quality
Abstract:
... The BioCASe Monitor Service (BMS) is a web-based tool for coordinators of distributed data networks that provide information to web-portals and data aggregators via the BioCASe Provider Software. Building on common standards and protocols, it has three main purposes: (1) monitoring provider’s progress in data provision, (2) facilitating checks of data mappings with a focus on the structure, plausi ...
European Union; crops; data quality; foods; issues and policy; natural resources; plant cultural practices; sustainable agricultural intensification
Abstract:
... Food system sustainability is a major issue of concern for policy makers. Feeding an increasing world population without compromising the endowment of natural resources or worsening the environmental crisis is, indeed, a major challenge. The need to boost sustainable and productive farming systems and enhance resource efficiency has been acknowledged by European Union policy in its 2020 Strategy. ...
air temperature; basins; consultants; data quality; environmental assessment; fish; glaciers; global warming; government agencies; habitats; lakes; logging; models; monitoring; prediction; regression analysis; shade; spatial variation; standard deviation; streams; water temperature; watersheds; British Columbia
Abstract:
... The objective of this study was to characterize the spatial variability of stream thermal regimes in British Columbia, Canada, with the specific goal of developing a predictive model to assist in provincial-scale assessment of fish habitat. It is part of a broader study to develop an approach to support the designation of “Temperature Sensitive Streams”, particularly in relation to the potential e ...
arable soils; data quality; databases; models; research; uncertainty; Czech Republic
Abstract:
... The database of soil hydrophysical properties in the Czech Republic called HYPRESCZ was created. It is based on the European database HYPRES, HYdraulic PRoperties of European Soils, and follows its structure with few modifications. It collects the available data from the Czech Republic from which pedotransfer functions (PTFs) for the estimation of soil hydrophysical properties from easily availabl ...
... There are significant gaps in accessible knowledge about the distribution and phenology of Iberian harvestmen (Arachnida: Opiliones). Harvestmen accessible datasets in Iberian Peninsula are unknown, an only two other datasets available in GBIF are composed exclusively of harvestmen records. Moreover, only a few harvestmen data from Iberian Peninsula are available in GBIF network (or in any network ...
data quality; databases; dogs; forensic sciences; genetic analysis; haplotypes; mitochondrial DNA; mitochondrial genome; probability
Abstract:
... The identification of dog hair through mtDNA analysis has become increasingly important in the last 15 years, as it can provide associative evidence connecting victims and suspects. The evidential value of an mtDNA match between dog hair and its potential donor is determined by the random match probability of the haplotype. This probability is based on the haplotype’s population frequency estimate ...
air; air pollutants; air pollution; carbon monoxide; combustion; data analysis; data quality; databases; dust; emissions; emissions factor; greenhouse gases; natural resources; nitrogen oxides; pollution control; statistical analysis
Abstract:
... The Polish emission reporting system - “Krajowa baza o emisjach gazów cieplarnianych i innych substancji” (or National Emission Database (NED)) - was established at the end of 2010. Initially (data submitted for 2010), the database contained reported emission data for greenhouse gases and air pollutants from plants that have had proper Integrated Pollution Prevention and Control permissions (i.e., ...