Relevant bibliographies by topics / Validation of species data

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Validation of species data'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Validation of species data"

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Waller, John, Nikolay Volik, Federico Mendez, and Andrea Hahn. "GBIF Data Processing and Validation." Biodiversity Information Science and Standards 5 (September 27, 2021): e75686. https://doi.org/10.3897/biss.5.75686.

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GBIF (Global Biodiversity Information Facility) is the largest data aggregator of biological occurrences in the world. GBIF was officially established in 2001 and has since aggregated 1.8 billion occurrence records from almost 2000 publishers. GBIF relies heavily on Darwin Core (DwC) for organising the data it receives. GBIF Data Processing PipelinesEvery single occurrence record that gets published to GBIF goes through a series of three processing steps until it becomes available on GBIF.org.source downloadingparsing into verbatim occurrences interpreting verbatim valuesOnce all records are a
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Tsiky, Rabetrano. "REBIOMA Data Portal, Tool for Conservation Planning in Madagascar." Biodiversity Information Science and Standards 2 (May 22, 2018): e25864. https://doi.org/10.3897/biss.2.25864.

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Recognizing the abundance and the accumulation of information and data on biodiversity that are still poorly exploited and even unfunded, the REBIOMA project (Madagascar Biodiversity Networking), in collaboration with partners, has developed an online dataportal in order to provide easy access to information and critical data, to support conservation planning and the expansion of scientific and professional activities in Madagascar biodiversity. The mission of the REBIOMA data portal is to serve quality-labeled, up-to-date species occurrence data and environmental niche models for Madagascar's
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Schadauer, Tobias, Susanne Karel, Markus Loew, et al. "Evaluating Tree Species Mapping: Probability Sampling Validation of Pure and Mixed Species Classes Using Convolutional Neural Networks and Sentinel-2 Time Series." Remote Sensing 16, no. 16 (2024): 2887. http://dx.doi.org/10.3390/rs16162887.

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The accurate large-scale classification of tree species is crucial for the monitoring, protection, and management of the Earth’s invaluable forest ecosystems. Numerous previous studies have recognized the suitability of satellite imagery, particularly Sentinel-2 imagery, for this task. In this study, we utilized a dense phenology Sentinel-2 time series, which offered consistent data across multiple granules, to map tree species across the entire forested area in Austria. Aiming for the classification scheme to more accurately represent actual forest conditions, we included mixed tree species a
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Damayanto, I. Putu Gede P., Fandri S. Fastanti, and Syadwina H. Dalimunthe. "Pemanfaatan portal basis data daring dalam validasi nama ilmiah jenis dan suku tumbuhan." Berkala Ilmu Perpustakaan dan Informasi 16, no. 2 (2020): 170–83. http://dx.doi.org/10.22146/bip.v16i2.770.

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Introduction. The study of the validation of scientific name validation at the species and family level is not widely known. This study aimed to provide information about the process of scientific name validation at the species and family level. 
 Data Collection Method. Data were collected from online portal databases regarding the scientific name of plant species and family. Data was analyzed in a descriptive-narrative manner. 
 Results and Discussions. Validation of the scientific name of species and family of plants can be conducted by searching the latest publications and using
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Doser, Jeffrey W., Andrew O. Finley, Marc Kéry, and Elise F. Zipkin. "spOccupancy: An R package for single-species, multi-species, and integrated spatial occupancy models." Methods in Ecology and Evolution 13, no. 8 (2022): 1670–78. https://doi.org/10.5281/zenodo.15190428.

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<strong>Abstract</strong> Occupancy modelling is a common approach to assess species distribution patterns, while explicitly accounting for false absences in detection&ndash;nondetection data. Numerous extensions of the basic single-species occupancy model exist to model multiple species, spatial autocorrelation and to integrate multiple data types. However, development of specialized and computationally efficient software to incorporate such extensions, especially for large datasets, is scarce or absent. We introduce the spOccupancy R package designed to fit single-species and multi-species s
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Chukanov, N. V., I. V. Pekov, R. K. Rastsvetaeva, et al. "Osumilite-(Mg): Validation as a mineral species and new data." Geology of Ore Deposits 55, no. 7 (2013): 587–93. http://dx.doi.org/10.1134/s1075701513070064.

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Jomier, Rémy, Solène Robert, and Pascal Dupont. "National Scientific Validation for Data in the Information System on Nature and Landscapes (Système d'Information sur la Nature et les Paysages - SINP)." Biodiversity Information Science and Standards 2 (May 22, 2018): e25881. https://doi.org/10.3897/biss.2.25881.

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As part of the Biodiversity Information System on Nature and Landscapes (Système d'Informations Nature et Paysages or SINP), the French National Natural History Museum has been appointed by the French ministry in charge of ecology to develop mechanisms for biodiversity data exchange, especially taxon occurrences (there are also elements on habitat occurrences, geo-heritage, etc.). Given that there are thousands of different sources for datasets, containing over 42 million records, such a development brings into question the underlying quality of data. To add complexity, there can be several la
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Jomier, Remy, and Solène Robert. "Data Quality in Data Exchanges: a Tri-Part Approach in the French Information System on Nature and Landscapes." Biodiversity Information Science and Standards 2 (May 18, 2018): e25176. https://doi.org/10.3897/biss.2.25176.

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As part of the Biodiversity Information System on Nature and Landscapes (SINP), the French National Natural History Museum has been appointed to develop biodiversity data exchanges by the French ministry in charge of ecology. Given there are, quite literally, thousands of different sources, such a development brings into question the underlying quality of data. To add complexity, there can be several layers of quality: one being appraised by the producer himself, one by a regional node, and one by the national node. The approach to quality issues was addressed by a dedicated working group, rep
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Heilmann-Clausen, Jacob, Tobias Frøslev, Jens Petersen, Thomas Læssøe, and Thomas Jeppesen. "Experiences from the Danish Fungal Atlas: Linking mushrooming, nature conservation and primary biodiversity research." Biodiversity Information Science and Standards 5 (September 16, 2021): e75265. https://doi.org/10.3897/biss.5.75265.

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The Danish Fungal Atlas is a citizen science project launched in 2009 in collaboration among the University of Copenhagen, Mycokey and the Danish Mycological Society. The associated database now holds almost 1 million fungal records, contributed by more than 3000 recorders. The records represent more than 8000 fungal species, of which several hundred have been recorded as new to Denmark during the project. In addition several species have been described as new to science. Data are syncronized with the Global Biodiversity Information Facility (GBIF) on a weekly basis, and is hence freely availa
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Abbasi, M., N. Slavinskaya, and U. Riedel. "Low Temperature Oxidation of Cyclohexane: Uncertainty of Important Thermo-Chemical Properties." Eurasian Chemico-Technological Journal, no. 4 (December 28, 2018): 263. http://dx.doi.org/10.18321/ectj759.

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The study of the standard formation enthalpy, entropy, and heat capacity for key species relevant to the low-temperature combustion of cyclohexane has been performed by applying the group additivity method of Benson. The properties of 18 Benson groups (8 of them for the first time), and 10 ring correction factors for cyclic species were estimated through different empirical and semi-empirical methods. The method validation proceeded through comparison of predicted values for certain number of newly estimated groups and available literature data derived from quantum chemistry estimations. Furth
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Dissertations / Theses on the topic "Validation of species data"

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Neloy, Md Naim Ud Dwla. "Validation of theoritical approach to measure biodiversity using plant species data." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19431.

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Measuring Biodiversity is an important phenomenon to serve best to our ecology and also keep environment sound. Variety of life on different levels, like an ecosystem, life forms on a site, landscape collectively known as Biodiversity. Species richness and evenness combine measures as Biodiversity. Separate formula, index, equation are widely using to measure Biodiversity in each level. Swedish Environmental Protection Agency aimed to establish an index that consists of landscape functionality and landscape heterogeneity. For landscape functionality assessment, there BBCI (Biotope biodiversity
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Rizk, Raya. "Big Data Validation." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353850.

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With the explosion in usage of big data, stakes are high for companies to develop workflows that translate the data into business value. Those data transformations are continuously updated and refined in order to meet the evolving business needs, and it is imperative to ensure that a new version of a workflow still produces the correct output. This study focuses on the validation of big data in a real-world scenario, and implements a validation tool that compares two databases that hold the results produced by different versions of a workflow in order to detect and prevent potential unwanted a
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Pantziarka, P. "Machine learning and data validation." Thesis, University of Surrey, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425812.

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Xu, Cheng. "Scalable Validation of Data Streams." Doctoral thesis, Uppsala universitet, Avdelningen för datalogi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-291530.

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In manufacturing industries, sensors are often installed on industrial equipment generating high volumes of data in real-time. For shortening the machine downtime and reducing maintenance costs, it is critical to analyze efficiently this kind of streams in order to detect abnormal behavior of equipment. For validating data streams to detect anomalies, a data stream management system called SVALI is developed. Based on requirements by the application domain, different stream window semantics are explored and an extensible set of window forming functions are implemented, where dynamic registrati
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Walter, Patrick L. "DATA VALIDATION: A PREREQUISITE TO PERFORMING DATA UNCERTAINTY ANALYSIS." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/605041.

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ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>There are increasing demands, particularly from government agencies, to perform uncertainty analysis in order to assign accuracy bounds to telemetered data from environmental measuring transducers (pressure, acceleration, force, strain, temperature, etc.). Several requirements must be fulfilled before measurement uncertainty analysis is justified. These requirements include good measurement sy
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Rull, Fort Guillem. "Validation of mappings between data schemas." Doctoral thesis, Universitat Politècnica de Catalunya, 2011. http://hdl.handle.net/10803/22679.

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En esta tesis, presentamos un nuevo enfoque para validar mappings entre esquemas de datos que permite al diseñador comprobar si el mapping satisface o no ciertas propiedades deseables. La respuesta que obtiene el diseñador no se limita a un simple valor booleano, sino que dependiendo del resultado de la comprobación obtendrá un ejemplo/contraejemplo que ilustre ese resultado, o bien se le indicará el conjunto de restricciones de integridad de los esquemas y formulas del mapping responsables de ese resultado. Una de las características principales de nuestro enfoque es que es capaz de tratar u
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Bahcivancilar, Ugur. "Validation Of Methods Time Measurement Data." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614916/index.pdf.

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This thesis shows the results of an experiment in order to test the validity of Methods Time Measurement (MTM) data. MTM, developed in 1948, is one of the most commonly used Predetermined Motion Time Systems to calculate standard time for a task. However, there is limited research on the validity of the MTM data in the literature. Today&rsquo<br>s technology provides new computerized tools to perform time studies. One of such tools is Real Time Method Study (RTMS). RTMS is a computerized method study tool being developed in METU Technopolis, which uses Image Processing and Machine Learning to
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Martin, Anthony John Michael. "Quantitative data validation (automated visual evaluations)." Thesis, De Montfort University, 1999. http://hdl.handle.net/2086/6256.

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Historically, validation has been perfonned on a case study basis employing visual evaluations, gradually inspiring confidence through continual application. At present, the method of visual evaluation is the most prevalent form of data analysis, as the brain is the best pattern recognition device known. However, the human visual/perceptual system is a complicated mechanism, prone to many types of physical and psychological influences. Fatigue is a major source of inaccuracy within the results of subjects perfonning complex visual evaluation tasks. Whilst physical and experiential differences
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Elder, Samuel Scott. "Reliable validation : new perspectives on adaptive data analysis and cross-validation." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120660.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 107-109).<br>Validation refers to the challenge of assessing how well a learning algorithm performs after it has been trained on a given data set. It forms an important step in machine learning, as such assessments are then used to compare and choose between algorithms and provide reasonable approximations of their accuracy. In this thesis, we provide new approaches for addressing two common problems with validation. In t
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Norris, Beth J. "Species richness estimation for benthic data." Thesis, University of Kent, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.593918.

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This thesis addresses species richness estimation for benthic data by describing the clustering of individuals within a species using a Neyman Type A distribution, and incorporating this into species richness estimates. A review of current species richness estimation methods is included . The maximumlikelihood approach to species richness estimation is extended to incorporate the Neyman Type A model, with a gamma mixing distribution on the mean abundance of individuals within a species. Species richness estimates of this model are compared •1 to those of the simpler negative binomial and Poiss
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Books on the topic "Validation of species data"

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United States. National Aeronautics and Space Administration., ed. Real-time sensor data validation. National Aeronautics and Space Administration, 1994.

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G, Sexton K., and Atmospheric Sciences Research Laboratory, eds. Validation data for photochemical mechanisms. U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1987.

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Center, Langley Research, ed. PIV data validation software package. National Aeronautics and Space Administration, Langley Research Center, 1997.

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United States. National Aeronautics and Space Administration., ed. Real-time sensor data validation. National Aeronautics and Space Administration, 1994.

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United States. National Aeronautics and Space Administration., ed. Real-time sensor data validation. National Aeronautics and Space Administration, 1994.

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Martin, Anthony John Michael. Quantitative data validation (automated visual evaluations). De Montfort University, 1999.

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Pi-huan, Wang, and Langley Research Center, eds. Sage II satellite data set validation. National Aeronautics and Space Administration, Langley Research Center, 1986.

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A, Mathiowetz Nancy, ed. A validation study of economic survey data. Survey Research Center, Institute for Social Research, University of Michigan, 1985.

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Santoro, Robert J. Detailed experimental data for CFD code validation. Propulsion Engineering Research Center, College of Engineering, Pennsylvania State University, 1998.

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Souleyrette, Reginald R. Crash data validation: An Iowa case study. Cener for Transportation Research and Education, Iowa State University, 2007.

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Book chapters on the topic "Validation of species data"

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García-Álvarez, David, and Javier Lara Hinojosa. "Global Thematic Land Use Cover Datasets Characterizing Vegetation Covers." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_19.

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AbstractVegetation covers were one of the first land covers to receive special attention when thematic Land Use Cover (LUC) maps first appeared. Interest in this subject has remained strong since then because of the valuable information that these datasets provide for monitoring forests, deforestation and climate change, among other issues. A wide variety of thematic LUC datasets characterizing vegetation covers are currently available. In this chapter, we review eleven of these datasets, most of which provide long series of LUC maps, so permitting the study of LUC change. In thematic terms, most of the maps provide information on the vegetation or tree cover fraction per pixel, so characterizing the vegetation covers on Earth in great detail. A specific dataset has been found that maps mangrove distribution across the globe at 30 m for one date (1997/00). It is not included in this review because of its high specificity, which means it is only of interest to certain communities of users. Of all the products reviewed here, the World’s Forests 2000 is probably the most basic, providing information about three wooded cover categories for the year 1995/96 at a spatial resolution of 1 km. SYNMAP is a very specific thematic map designed to meet the needs of the carbon cycle and vegetation modelling community, which was produced at a spatial resolution of 1 km and with a legend of 48 categories. Among the maps providing information on the fraction of vegetation cover per pixel, the Hybrid Forest Mask 2000 (1 km) and the PTC Global Version (500 m–1 km) offer relatively coarse resolutions and few points in time: just one date in the former (2000) and two in the latter (2003, 2008). The Forests of the World 2010 is also available for just one year (2010), albeit at a more detailed spatial resolution (250 m). Various datasets provide information on the cover fraction for long periods of time at medium and high spatial resolutions. FCover provides the longest time series (1999-present) at 1 km, although since 2014 this dataset is also available at 300 m. Modis VCF also offers a long data series (2000–2019) at a spatial resolution of 250 m. MEaSUREs Vegetation Continuous Fields (VCF) is another thematic LUC dataset providing information on the tree cover fraction of the earth surface for a very long time period: 1982–2016. However, it is not reviewed here because of its coarse spatial resolution (around 5.6 km at the Equator). At very detailed spatial resolutions, GFCC30TC Landsat VCF (30 m) provides data on the cover fraction for four different points in time, between 2000 and 2015. It also gives information on forest change for two periods (1990–2000/2000–2005) through the associated GFCC30FCC dataset. The Hansen forest map (30 m) also provides one of the longest time series, from 2000 to 2019. Global FNF is the dataset with the highest resolution (25 m) of all those reviewed. It is available for two periods of time: 2007–2010 and 2015–2017. In thematic terms, however, this dataset is less detailed, in that it only differentiates between forest and non-forest covers. TanDEM-X Forest/Non-Forest also provides information on the forest extent at high spatial resolution (50 m). However, the map is only available for one point in time. Like Global FNF, it was also obtained from the classification of radar data.
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Klein, Julia, and Tatjana Petrov. "Understanding Social Feedback in Biological Collectives with Smoothed Model Checking." In Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19759-8_12.

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AbstractBiological groups exhibit fascinating collective dynamics without centralised control, through only local interactions between individuals. Desirable group behaviours are typically linked to a certain fitness function, which the group robustly performs under different perturbations in, for instance, group structure, group size, noise, or environmental factors. Deriving this fitness function is an important step towards understanding the collective response, yet it easily becomes non-trivial in the context of complex collective dynamics. In particular, understanding the social feedback - how the collective behaviour adapts to changes in the group size - requires dealing with complex models and limited experimental data. In this work, we assume that the collective response is experimentally observed for a chosen, finite set of group sizes. Based on such data, we propose a framework which allows to: (i) predict the collective response for any given group size, and (ii) automatically propose a fitness function. We use Smoothed Model Checking, an approach based on Gaussian Process Classification, to develop a methodology that is scalable, flexible, and data-efficient; We specify the fitness function as a template temporal logic formula with unknown parameters, and we automatically infer the missing quantities from data. We evaluate the framework over a case study of a collective stinging defence mechanism in honeybee colonies.
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Reeves, Matt, Inés Ibáñez, Dana Blumenthal, et al. "Tools and Technologies for Quantifying Spread and Impacts of Invasive Species." In Invasive Species in Forests and Rangelands of the United States. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45367-1_11.

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AbstractThe need for tools and technologies for understanding and quantifying invasive species has never been greater. Rates of infestation vary on the species or organism being examined across the United States, and notable examples can be found. For example, from 2001 to 2003 alone, ash (Fraxinus spp.) mortality progressed at a rate of 12.97 km year −1 (Siegert et al. 2014), and cheatgrass (Bromus tectorum) is expected to increase dominance on 14% of Great Basin rangelands (Boyte et al. 2016). The magnitude and scope of problems that invasive species present suggest novel approaches for detection and management are needed, especially those that enable more cost-effective solutions. The advantages of using technologically advanced approaches and tools are numerous, and the quality and quantity of available information can be significantly enhanced by their use. They can also play a key role in development of decision-support systems; they are meant to be integrated with other systems, such as inventory and monitoring, because often the tools are applied after a species of interest has been detected and a threat has been identified. In addition, the inventory systems mentioned in Chap. 10.1007/978-3-030-45367-1_10 are regularly used in calibrating and validating models and decision-support systems. For forested areas, Forest Inventory and Analysis (FIA) data are most commonly used (e.g., Václavík et al. 2015) given the long history of the program. In non-forested systems, national inventory datasets have not been around as long (see Chap. 10.1007/978-3-030-45367-1_10), but use of these data to calibrate and validate spatial models is growing. These inventory datasets include the National Resources Inventory (NRI) (e.g., Duniway et al. 2012) and the Assessment Inventory and Monitoring program (AIM) (e.g., McCord et al. 2017). Similarly, use of the Nonindigenous Aquatic Species (NAS) database is growing as well (e.g., Evangelista et al. 2017). The consistent protocols employed by these programs prove valuable for developing better tools, but the data they afford are generally limited for some tools because the sampling intensity is too low.
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Sciore, Edward. "Data Validation." In Understanding Oracle APEX 20 Application Development. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6165-1_8.

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Sciore, Edward. "Data Validation." In Understanding Oracle APEX 5 Application Development. Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0989-9_8.

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Nahler, Gerhard. "data validation." In Dictionary of Pharmaceutical Medicine. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_358.

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Paz, José Rolando Guay. "Data Validation." In Beginning ASP.NET MVC 4. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5753-0_7.

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Weik, Martin H. "data validation." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4413.

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Srinivasan, Ramanathan, and Fathima Fasmin. "Data Validation." In An Introduction to Electrochemical Impedance Spectroscopy. CRC Press, 2021. http://dx.doi.org/10.1201/9781003127932-3.

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Tkachenko, Nikita. "Data Validation." In Data Insight Foundations. Apress, 2024. https://doi.org/10.1007/979-8-8688-0580-6_4.

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Conference papers on the topic "Validation of species data"

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Amir, Q. M., Kannan Chandrasekaran, Sridhar Srinivasan, and Kwei Meng Yap. "Naphthenic Acid Corrosion Prediction Using Crude Corrosivity JIP Model – Evaluation and Validation." In CORROSION 2018. NACE International, 2018. https://doi.org/10.5006/c2018-11381.

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Abstract Accurate quantification of corrosivity of crude oil fractions has been a major challenge for refiners, stemming from inadequate understanding of complex influences of naphthenic acids and type/morphology, molecular weight of acid species, sulphur content and speciation, temperature, and fluid flow on corrosion. A proprietary model has been developed encapsulating data from Honeywell’s Crude Corrosivity Phase-I Joint Industry Program (JIP), conducted between 2006 and 2011. This research program, sponsored by Indian Oil Corporation Limited (IOCL) and nineteen other global refining and e
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Hevle, Andrew G. "Use of Close-Interval Survey Data in Applying ECDA and SCCDA." In CORROSION 2007. NACE International, 2007. https://doi.org/10.5006/c2007-07157.

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Abstract Close-interval survey is one of the primary indirect inspection tools in applying direct assessment for external corrosion and stress corrosion cracking. While close-interval survey is a relatively mature tool in corrosion control, special considerations are necessary for the application of integrity management, such as survey selection, preparation, locating and distance measurement, data integration, and data validation.
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Guraieb, Paula, Elizabeth Contreras, Jin Huang, Mason Tomson, Chao Yan, and Ross Tomson. "Validation of the Activity Coefficients for Carbonates at Various High Pressure High Temperature (HPHT) and Total Dissolved Solids (TDS)." In CORROSION 2014. NACE International, 2014. https://doi.org/10.5006/c2014-4360.

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Abstract The equilibrium constants and activity coefficients are reasonably well known for most common systems from room temperature to 100°C (212°F) and 6,000 psia. However, the limited knowledge of the thermodynamic and kinetic properties of mineral systems under high pressure (24,000 psia), high temperature, 250°C (482 °F) and high TDS (360,000 mg/L) has presented a huge challenge in ultra deepwater oil and gas production. The lack of data and models for scale at these extreme temperatures and pressures increase the economic and safety and risks of offshore production. With the use of a nov
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Proksch-Weilguni, Clemens, Marion Decker, and Johann Kollegger. "Validation of a novel mechanical model for geometrically and passively confined concrete." In IABSE Congress, San José 2024: Beyond Structural Engineering in a Changing World. International Association for Bridge and Structural Engineering (IABSE), 2024. https://doi.org/10.2749/sanjose.2024.0565.

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&lt;p&gt;Investigating the load-bearing characteristics of the joint region of precast concrete elements under compression is crucial for practical applications, such as in tunnel linings. The study introduces a novel mechanical model to predict the load-bearing capacity of load transfer zones with both geometric confinement caused by load distribution and passive confinement caused by transverse reinforcement. Two design approaches according to the current draft of the Eurocode 2 (EC2) and the novel mechanical model are used for a comparative validation based on experimental tests done at TU
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Armstrong, Derek E. "Bayesian Approach to Estimating Fireball Parameters From Remote Sensing Data." In ASME 2019 Verification and Validation Symposium. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/vvs2019-5112.

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Abstract Remote sensors in the infrared region can be used to study the progression of fireballs generated from experiments involving high explosives (HE). Developing an improved understanding of HE fireballs can be used to validate and improve computational physics codes that simulate such events. In this paper, Bayesian approaches are studied to estimate time-dependent optimal fireball parameters and their uncertainties using Fourier transform infrared (FTIR) spectroscopy. The optical signal measured by an FTIR sensor provides information on the fireball due to thermal emission, particulate
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Fehsenfeld, Fred C. "Trace species in the atmosphere: air quality problems and measurement requirements and validation." In OSA Annual Meeting. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.wz1.

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There is evidence that air quality on a global scale is threatened by the systematic change in the atmospheric concentration of a variety of trace compounds. These compounds range from those that are not chemically reactive in the lower atmosphere (troposphere), such as the chlorofluoromethanes (CFM), to very reactive compounds, such as the oxides of nitrogen (NO x ) and the nonmethane hydrocarbons (NMHC). Although all the compounds cause significant problems concerning air quality on a regional or even global scale, the type of data required to obtain the necessary information concerning thei
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Guzas, Emily L., Stephen E. Turner, Matthew Babina, Brandon Casper, Thomas N. Fetherston, and Joseph M. Ambrico. "Validation of a Surrogate Model for Marine Mammal Lung Dynamics Under Underwater Explosive Impulse." In ASME 2019 Verification and Validation Symposium. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/vvs2019-5143.

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Abstract Primary blast injury (PBI), which relates gross blast-related trauma or traces of injury in air-filled tissues or those tissues adjacent to air-filled regions (rupture/lesions, contusions, hemorrhaging), has been documented in a number of marine mammal species after blast exposure [1, 2, 3]. However, very little is known about marine mammal susceptibility to PBI except in rare cases of opportunistic studies. As a result, traditional techniques rely on analyses using small-scale terrestrial mammals as surrogates for large-scale marine mammals. For an In-house Laboratory Independent Res
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Fu, Richard S., and Ugur Pasaogullari. "Validation of a Computational Polymer Electrolyte Fuel Cell Model." In ASME 2008 Heat Transfer Summer Conference collocated with the Fluids Engineering, Energy Sustainability, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/ht2008-56408.

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Computational models of polymer electrolyte fuel cells (PEFCs) of various degrees of complexities have been reported in the recent years and are capable of simulating detail transport phenomena within the PEFCs where experimental methods cannot. A thorough model validation is necessary for the model results to be used in analysis and design. Water transport in PEFCs has a strong effect on the performance regardless of the operating conditions. In low humidity cases, especially, the amount of water exchange from anode to cathode has a strong role in governing the water content in the anode side
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Skudarnov, Peter V., Cheng-Xian Lin, and Seckin Gokaltun. "Verification and Validation Studies for a Piloted Methane-Air Jet Flame." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41691.

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In this paper, verification and validation analysis for a turbulent jet flame is presented. The numerical simulations were performed for a piloted methane-air jet flame in an axisymmetric burner (jet Reynolds number of 22,400). Numerical results were obtained using the finite volume method on structured grids. The verification of the numerical solutions was performed by calculating the Grid Convergence Index (GCI). A set of three different grids is used to calculate the discretization uncertainty where each grid was generated by doubling the number of cells in each direction of the coarser gri
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Roy, Arnab, Srinath V. Ekkad, and Uri Vandsburger. "Prediction and Validation of Performance of an Entrained Flow Gasifier Model." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63770.

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Computational fluid dynamics (CFD) simulation of a single stage, dry-feed entrained flow gasifier is carried out to predict several physical and chemical processes within the gasifier. The model is developed using a commercial software package FLUENT. The CFD model is based on an Eulerian-Lagrangian framework, where the continuous fluid phase is modeled in Eulerian approach and the particle flow trajectory is simulated in Lagrangian frame. The two phases are coupled by appropriate source terms in the conservation equations. The gasification process can be divided into the following sub-process
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Reports on the topic "Validation of species data"

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Wolff, Patrick, Brett DeGregorio, and Aaron Rice. Demonstration of subsurface passive acoustic monitoring (SPAM) to survey for and estimate populations of imperiled underwater-calling frogs. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42386.

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The management and recovery of threatened and endangered amphibians on Department of Defense (DoD) lands relies on an understanding of their distribution and abundance. Fortunately, most anuran species can be surveyed acoustically using vocalizations during the breeding season. This work demonstrated the use of subsurface passive acoustic monitoring (SPAM) to survey for rare underwater-calling, at-risk anuran species on DoD installations. We evaluated the performance of SPAM relative to traditional passive acoustic monitoring (PAM) (microphone) and human manual calling survey (MCS) methods. Re
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Ding, Yan, Q. Chen, Ling Zhu, Julie Rosati, and Bradley Johnson. Implementation of flexible vegetation into CSHORE for modeling wave attenuation. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43220.

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This technical report presents the new numerical modeling capabilities for simulating wave attenuation and mean water level changes through flexible vegetation such as smooth cordgrass in coastal and marine wetlands. These capabilities were implemented into the Cross-SHORE (CSHORE) numerical model. The biomechanical properties of vegetation such as dimensions, flexibility, and bending strength are parameterized in terms of the scaling law. Correspondingly, a new formulation of the vegetation drag coefficient, CD, is developed using field data from a salt marsh in Terrebonne Bay, LA, by conside
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Zand, Benjamin. PR-218-104509-R02 Field Validation of Surface Loading Stress Calculations for Buried Pipelines Milestone 2. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011477.

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In this work, the Canadian Energy Pipeline Association (CEPA) equation for prediction of hoop stress in a buried pipeline was validated using the Milestone 1 experimental data. The Milestone 1 testing program included a 24-inch outside diameter (OD), 0.25-inch wall thickness (WT) pipe specimen in sand (24-inch Sand); a 12.75-inch OD, 0.5-inch WT pipe specimen in clay (12-inch Packed Clay); and a 24-inch OD, 0.25-inch WT pipe specimen in clay (24-inch Dumped Clay). Two different depths of cover (DOC) values of 2 and 3 feet were used in the testing and the test specimens were crossed by a variet
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Pokrzywinski, Kaytee, Cliff Morgan, Scott Bourne, Molly Reif, Kenneth Matheson, and Shea Hammond. A novel laboratory method for the detection and identification of cyanobacteria using hyperspectral imaging : hyperspectral imaging for cyanobacteria detection. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40966.

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To assist US Army Corps of Engineers resource managers in monitoring for cyanobacteria bloom events, a laboratory method using hyperspectral imaging has been developed. This method enables the rapid detection of cyanobacteria in large volumes and has the potential to be transitioned to aerial platforms for field deployment. Prior to field data collection, validation of the technology in the laboratory using monocultures was needed. This report describes the development of the detection method using hyperspectral imaging and the stability/reliability of these signatures for identification purpo
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Haggag. L52280 In-Situ Measurement of Pipeline Mechanical Properties Using Stress-Strain Microprobe - Validation. Pipeline Research Council International, Inc. (PRCI), 2007. http://dx.doi.org/10.55274/r0010668.

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Most pipeline companies operate infrastructure that spans a wide range of vintages including pipelines that were built in 1950s to the 2000s. Some of the pipelines have changed hands, and in many cases, more than once, resulting in a loss of the operating history and of pertinent pipeline data relating to the grade or mechanical properties. In the case of pipelines of unknown grades, PHMSA (OPS/DOT) stipulates the assumption of a 24 ksi yield strength, regardless of its construction. OPS also allows the establishment of the Specified Minimum Yield Strength (SMYS) of the pipeline by verifying i
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Kalen, Nicholas. Remediated for accessibility per Section 508. National Park Service, 2023. http://dx.doi.org/10.36967/2298454.

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I conducted bat surveys at Richmond National Battlefield Park to assess the status of bat communities following potential impacts of the disease white-nose syndrome. This disease, caused by the fungus Pseudogymnoascus destructans, has severely reduced populations of several bat species in the eastern United States, threatening some with regional extirpation. Most affected species include the little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis), Indiana bat (Myotis sodalis), and tricolored bat (Perimyotis subflavus). During the summers of 2016-2020, I sampled si
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Gu, Tianbao, Samuel Simon Araya, and Vincenzo Liso. CFD Modeling of NH3 Synthesis on Ru-Based Catalyst for Hydrogen Storage and Transport. Aalborg University, 2024. https://doi.org/10.54337/aau772652211.

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Hydrogen is often considered as a promising alternative to fossil fuels, however its low boiling point and diffusivity cause a huge challenge for storage and transport. Therefore an alternative fuel like ammonia, containing 17 wt.% hydrogen with a higher boiling point, seems a very promising solution for hydrogen storage and transport. In this paper, ammonia synthesis via the most widely used Haber-Bosch process has been investigated. A computational fluid dynamics (CFD) model is developed for a lab-scale reactor, incorporating the modified Temkin kinetic model describing the complex catalytic
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Kalen, Nicholas. Bats of Richmond National Battlefield Park following white-nose syndrome: Public version. National Park Service, 2023. http://dx.doi.org/10.36967/2299295.

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I conducted bat surveys at Richmond National Battlefield Park to assess the status of bat communities following potential impacts of the disease white-nose syndrome. This disease, caused by the fungus Pseudogymnoascus destructans, has severely reduced populations of several bat species in the eastern United States, threatening some with regional extirpation. Most affected species include the little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis), Indiana bat (Myotis sodalis), and tricolored bat (Perimyotis subflavus). During the summers of 2016–2020, I sampled si
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Zielinski, Daniel, James Kerr, Kim Bærum, Olivia Simmons, Ana Silva, and R. Goodwin. Advancements in riverine fish movement modeling : bridging environmental complexity and fish behavior. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49423.

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Understanding fish movement and response in relation to their environment near infrastructure and migratory barriers is crucial for developing sustainable fisheries management solutions. Intermediate-scale movement models are a contemporary approach for understanding and predicting movement patterns of riverine fish considering their changing environment, which is predominately water flow. These models can be complex and require interdisciplinary knowledge. For more than 60 years, different approaches have been developed for investigating, reproducing, and predicting the movement outcomes of f
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Matejka, L. A. Jr. Quality data validation: Comprehensive approach to environmental data validation. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10185693.

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