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47,155 results for “evaluations”
Dataset of the Article Evaluating a Framework of Conceptual Modelling Research through a Family of Experiments
<p>Data set of the article "Evaluating a Framework of Conceptual Modelling Research through a Family of Experiments". Contains the results of:</p> <p>-Demographic questionnaire</p> <p>- Agreement and correctness of Paper A</p> <p>- Agreement and correctness of Paper B</p> <p>- Agreement and correctness of Paper C</p> <p>-Satisfaction questionnaire</p> <p>-Procedure and Pros and Cons of the framework</p>
Mode characterization and sensitivity evaluation of an ultra-high-frequency surface acoustic wave (UHF-SAW) resonator biosensor: application to the glial-fibrillary-acidic-protein (GFAP) biomarker detection
<p>Biosensors detect specific bio-analytes by generating a measurable signal from the interaction between the sensing element and the target molecule. Surface acoustic wave (SAW) biosensors offer unique advantages due to their high sensitivity, real-time response capability, and label-free detection. The typical SAW modes are the Rayleigh mode and the shear-horizontal mode. Both present pros and cons for biosensing applications and generally need different substrates and device geometries to be efficiently generated. This study investigates and characterizes ultra-high-frequency (UHF-) SAW resonator biosensors. It reveals the simultaneous presence of the two typical SAW modes, clearly separated in frequency, called slow and fast. The two modes are studied by numerical simulations and biosensing experiments with the glial-fibrillary-acidic-protein (GFAP) biomarker. The slow mode is generally more sensitive to changes in surface properties, such as temperature and mass changes, by a factor of about 1.4 with respect to the fast mode.</p>
Dataset of paper "Evaluation of the uniformity of UVA LED illumination on flat surfaces: Discrete Ordinate Method, Single Axis, and Surface Scanning Radiometry"
<p>Dataset of paper "Evaluation of the uniformity of UVA LED illumination on flat surfaces: Discrete Ordinate Method, Single Axis, and Surface Scanning Radiometry"</p> <ul> <li>Maximum Horizontal Intensity plots from discrete ordinates model simulations</li> <li>Maximum Horizontal Intensity plots from radiometry scans</li> <li>Peak intensity measurements for a UV LED lamp using Radiometry and DOM simulations</li> <li>Power measurements from DOM and radiometry measurements across a flat surface for a UV LED lamp</li> <li>Homogeneity data of irradiance on a flat surface</li> </ul>
A structured evaluation of regression models for predicting CO2 concentration from plasma emission spectra, dataset
<p>Dataset for publication: <a href="https://doi.org/10.1016/j.sab.2022.106467">https://doi.org/10.1016/j.sab.2022.106467</a>.</p> <p>The recorded spectra are stored as comma separated values, the set includes a meta data-file (.mat-file), and a column descriptions (columns.pdf).</p>
The natural capital of seagrass beds in the Caribbean: evaluating their ecosystem services and blue carbon trade potential
<p class="MsoNormal">Seagrass beds provide tremendous services to society, including the storage of carbon, with important implications for climate change mitigation. Prioritizing conservation of this valuable natural capital is of global significance, and including seagrass beds in global carbon markets through projects that minimize loss, increase area, or restore degraded areas represents a mechanism towards this end. Using newly available Caribbean seagrass distribution data, we estimated carbon storage in the region and calculated economic valuations of total ecosystem services and carbon storage. We estimated the 88,170 km<sup>2</sup> of seagrass in the Caribbean stores 1,337.8 (360.5–2335.0, minimum and maximum estimates, respectively) Tg carbon. The value of these seagrass ecosystems in terms of total ecosystem services and carbon alone was estimated to be $255 billion yr<sup>-1</sup> and $88.3 billion, respectively, highlighting their potential monetary importance for the region. Our results show that Caribbean seagrass beds are globally substantial pools of carbon, and our findings underscore the importance of such evaluation schemes to promote urgently needed conservation of these highly threatened and globally important ecosystems.</p>
Data set for the evaluation of the pilot course at HTW Berlin on Green Coding by Prof. Dr. Volker Wohlgemuth
<p>Data set for the evaluation of the pilot course at HTW Berlin on Green Coding by Prof. Dr. Volker Wohlgemuth</p>
Statistical evaluation of character support reveals the instability of higher-level dinosaur phylogeny
<p>The interrelationships of the three major dinosaur clades (Theropoda, Sauropodomorpha, and Ornithischia) have come under increased scrutiny following the recovery of conflicting phylogenies by a large new character matrix and its extensively modified revision. Here, we use tools derived from recent phylogenomic studies to investigate the strength and causes of this conflict. Using maximum likelihood as an overarching framework, we examine the global support for alternative hypotheses as well as the distribution of phylogenetic signal among individual characters in both the original and rescored dataset. We find the three possible ways of resolving the relationships among the main dinosaur lineages (Saurischia, Ornithischiformes, and Ornithoscelida) to be statistically indistinguishable and supported by nearly equal numbers of characters in both matrices. While the changes made to the revised matrix increased the mean phylogenetic signal of individual characters, this amplified rather than reduced their conflict, resulting in greater sensitivity to character removal or coding changes and little overall improvement in the ability to discriminate between alternative topologies. We conclude that early dinosaur relationships are unlikely to be resolved without fundamental changes to both the quality of available datasets and the techniques used to analyze them.</p>
A systematic evaluation of normalization methods and probe replicability using infinium EPIC methylation data
<p><strong>Background </strong></p> <p>The Infinium EPIC array measures the methylation status of > 850,000 CpG sites. The EPIC BeadChip uses a two-array design: Infinium Type I and Type II probes. These probe types exhibit different technical characteristics which may confound analyses. Numerous normalization and pre-processing methods have been developed to reduce probe type bias as well as other issues such as background and dye bias. <strong> </strong></p> <p><strong>Methods</strong></p> <p>This study evaluates the performance of various normalization methods using 16 replicated samples and three metrics: absolute beta-value difference, overlap of non-replicated CpGs between replicate pairs, and effect on beta-value distributions. Additionally, we carried out Pearson's correlation and intraclass correlation coefficient (ICC) analyses using both raw and SeSAMe 2 normalized data. <strong> </strong></p> <p><strong>Results</strong></p> <p>The method we define as SeSAMe 2, which consists of the application of the regular SeSAMe pipeline with an additional round of QC, pOOBAH masking, was found to be the best-performing normalization method, while quantile-based methods were found to be the worst performing methods. Whole-array Pearson's correlations were found to be high. However, in agreement with previous studies, a substantial proportion of the probes on the EPIC array showed poor reproducibility (ICC < 0.50). The majority of poor-performing probes have beta values close to either 0 or 1, and relatively low standard deviations. These results suggest that probe reliability is largely the result of limited biological variation rather than technical measurement variation. Importantly, normalizing the data with SeSAMe 2 dramatically improved ICC estimates, with the proportion of probes with ICC values > 0.50 increasing from 45.18% (raw data) to 61.35% (SeSAMe 2).</p>
1. Files containing data from each sample studied and ready to be open in Thellier Tool 4.0 software (Leonardt et al., 2004) for evaluation and determination of archaeointensity and archaeoinclination.
<p>Files containing data from each sample studied and ready to be open in Thellier Tool 4.0 software (Leonardt et al., 2004) for evaluation and determination of archaeointensity and archaeoinclination.</p> <p>Data supporting manuscript entitled “Archaeomagnetic studies of bricks from ancient buildings sampled in SE Poland (Central Europe)” by J. Nawrocki, K. Standzikowski, M. Chadima, T. Werner, M. Łanczont, J. Gancarski, Z. Gil submitted to Journal of Archaeological Science: Reports (JASREP-D-23-00078).</p>
Deduplication Groups Evaluator Data Benchmark
<p>This dataset provides a set of disambiguation groups created by using the FDup framework over PubMed author's entities collected by the OpenAIRE Graph. </p>
WRF model configuration and data used for the NHESS manuscript "Heat wave characteristics: evaluation of regional climate model performances for Germany"
<p>The file contains:</p> <ul> <li>the namelist.input document with the description of the WRF model configuration used in Warscher et al. (2019)</li> <li>WRF simulation outputs from the reanalysis run: daily values of maximum temperature for the time period 1980-2009 from the innermost (5 km grid resolution) and second innermost (15 km) domain; from both domains the same section, relevant for the study, was taken; the data was bilineraily interpolated to 12.5 km horizontal grid resolution to match the EUR-11 CORDEX format</li> </ul>
CARP: Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning
<p>The CARP dataset consists of 4,886 middle school computation-intensive algebra problems, and each problem is associated with a natural language solution and an annotated EFG.<br> Our annotated EFG explicitly depicts the step-by-step reasoning process of a math problem in a readable and concise format.</p>
Input and output data for the paper "Evaluating the German PV auction program: The secrets of individual bids revealed"
<p>Batz Liñeiro, T., Müsgens, F., (2021). Energy Policy</p> <p><a href="http://doi.org/10.1016/j.enpol.2021.112618">doi.org/10.1016/j.enpol.2021.112618</a></p> <p>ABSTRACT</p> <p>Auctions have become the primary instrument for promoting renewable energy around the world. However, the data published on such auctions are typically limited to aggregated information (e.g., total awarded capacity, average payments). These data constraints hinder the evaluation of realisation rates and other relevant auction dynamics. In this study, we present an algorithm to overcome these data limitations in German renewable energy auction programme by combining publicly available information from four different databases. We apply it to the German solar auction programme and evaluate auctions using quantitative methods. We calculate realisation rates and—using correlation and regression analysis—explore the impact of PV module prices, competition, and project and developer characteristics on project realisation and bid values. Our results confirm that the German auctions were effective. We also found that project realisation took, on average, 1.5 years (with 28% of projects finished late and incurring a financial penalty), nearly half of projects changed location before completion (again, incurring a financial penalty) and small and inexperienced developers could successfully participate in auctions.</p> <p>Description</p> <p>The data package offered in this publication comprises input, processing, and output files, accompanied by the corresponding R-codes used for data processing at different stages. Among the various data outputs, the "Auctions" sheet within the file "2 Auction Realizations Solar-2" holds particular significance for users. Within this sheet, users can identify the realized projects, their respective IDs, and the reported individual bid values. However, it is recommended to refer to the attached publication to gain a comprehensive understanding of the bid-value identification process.</p> <p>For users seeking to update the results, the input files can be easily updated by referring to partner publications that share the same file names. These partner publications include the <a href="https://zenodo.org/record/7945029">UnitRegister</a>, <a href="https://zenodo.org/record/8010410">PaymentRegister</a>, and <a href="https://zenodo.org/record/8013071">TariffRegister </a>datasets.</p>
Input and output data for the paper "Evaluating the German onshore wind auction programme: An analysis based on individual bids"
<p>Batz Liñeiro, T., Müsgens, F., (2023). Energy Policy</p> <p><a href="https://doi.org/10.1016/j.enpol.2022.113317">https://doi.org/10.1016/j.enpol.2022.113317</a></p> <p>ABSTRACT</p> <p>Auctions are a highly demanded policy instrument for the promotion of renewable energy sources. Their flexible structure makes them adaptable to country-specific conditions and needs. However, their success depends greatly on how those needs are operationalised in the design elements. Disaggregating data from the German onshore wind auction programme into individual projects, we evaluated the contribution of auctions to the achievement of their primary (deployment at competitive prices) and secondary (diversity) objectives and have highlighted design elements that affect the policy's success or failure. We have shown that, in the German case, the auction scheme is unable to promote wind deployment at competitive prices, and that the design elements used to promote the secondary objectives not only fall short at achieving their intended goals but create incentives for large actors to game the system.</p> <p>Description</p> <p>The data package offered in this publication comprises input, processing, and output files, accompanied by the corresponding R-codes used for data processing at different stages. Among the various data outputs, the "Auctions" sheet within the file "3 Auction Realizations Onshore Wind" holds particular significance for users. Within this sheet, users can identify the realized projects, their respective IDs, and the reported individual bid values (BV). However, it is recommended to refer to the attached publication to gain a comprehensive understanding of the bid-value identification process.</p> <p>For users seeking to update the results, the input files can be easily updated by referring to partner publications that share the same file names. These partner publications include the <a href="https://zenodo.org/record/7945029">UnitRegister</a>, <a href="https://zenodo.org/record/8010410">PaymentRegister</a>, and <a href="https://zenodo.org/record/8013071">TariffRegister </a>datasets.<br> </p>
Evaluation of Fresh and Hardened Properties of 3D-Printed Engineered Cementitious Composites (ECC) Designed for Sustainable and Resilient Infrastructure Systems
<p>3D concrete printing is a cutting-edge construction technique that has the potential to revolutionize the construction industry due to cost-saving in terms of labor and formwork costs, efficiency in construction, lower safety-related risks, and a higher degree of automation. However, several issues still make its adoption relatively slower on a large scale. Engineered cementitious composites (ECC), a class of ultra-high-strength concrete, can be a potential solution to some problems, such as reinforcement and durability. The preliminary phase of a Tran SET project focused on the design of 3D printable ECC, considering the concrete mix design proportions and their potential effects on fresh and hardened properties to achieve an optimized printable ECC mix. The type and content of various concrete ingredients such as cement, admixtures, aggregates, and fibers have considerable influence on the several properties in the fresh and hardened state. The replacement levels for cement were 0%, 50%, and 75% for mineral admixture, 10% for silica fume, and 0.4% for nano-clay by cement mass. Locally available fine aggregates were also used at 25% and 40% by mass of binder. In addition, the influence of fiber types and contents was also investigated. Two types of fibers, polyethylene (PE) and polyvinyl alcohol (PVA) fibers, were used at different levels, such as 0%, 1%, 1.5%, and 2% of the total volume of the mix. Moreover, four mixes, including FA50-MC, FA40SF10-MC, S50-MC, and FA40MK10-MC, were evaluated in terms of mechanical performance (flexural strength and direct tensile strength). The flowability of the ECC mixes was reduced with the incorporation of slag, metakaolin, higher aggregate content, and PE fibers. The 2% of both PVA and PE fibers had a reduction in compressive strength as compared to the low fiber content. Moreover, the PE-ECC exhibited superior tensile ductility as compared to the PVA-ECC due to the more fiber bridging by the PE fibers at the crack interface.</p>
Evaluation Data for the Annotation of German and English New Testament Texts with Strong's Numbers
<p>This repository provides a gold standard for parallel Bible texts and offers annotation of 20 New Testament verses with Strong's numbers referring to Greek words.<br> <br> We considered three German texts (Luther 2017, Schlachter, and Hoffnung für alle) and two English texts (New Revised Standard Version and World English Bible),</p> <p>See <a href="https://github.com/jd-s/gold-standard-parallel-bible">https://github.com/jd-s/gold-standard-parallel-bible</a> for more information.</p>
Evaluating the Impact of Third-Party Library Reuse in Java Projects: An Empirical Study
<p>Update, we have added the following:<br> - `dataset.ipynb`: Computes all the dataset used for this study. The user needs to use a call graph generator like OPAL/WALA.</p> <p>- `loc.ipynb`: Computes a dataset for LOC information given a call graph dataset</p> <p>- `called-reuse.ipynb`: Computing a dataset for all called functions and LOC in third-party libraries</p> <p>- `megamorphic.ipynb`: Empirically decide the megamorphic call sites. <br> <br> This part of the submission related to the paper "Evaluating the Impact of Third-Party Library Reuse in Java Projects: An Empirical Study". Here is a table of contents:</p> <ul> <li>`census.csv`: extracted data from the Census-II</li> <li>`releases_all.csv`: all releases available from Maven Coordinates in Census-II</li> <li>`releases_jar.csv`: dataset of all releases with a POM and JAR file</li> <li>`releases_jar_6_months.csv`: releases selected when studiying the 6-month interval</li> <li>`releases_jar_6_months.csv`: releases selected when comparing consecutive versions per artefactid and groupid</li> <li>`loc_composition.csv`: data on the ratio of insourced and outsourced code in project releases</li> <li>`loc_desc_without_lambdas.csv`: mined data on LOC information and class information.</li> <li>`loc_reuse_lower_bound.csv`: data on the ratio of reused LOC and functions of outsourced code, lower-bound</li> <li>`loc_reuse_upper_bound.csv`: data on the ratio of reused LOC and functions of outsourced code, upper-bound</li> </ul>
Creating, curating, and evaluating a mitogenomic reference database to improve regional species identification using environmental DNA
<p><span>Species detection using eDNA is revolutionizing global capacity to monitor biodiversity. However, the lack of regional, vouchered, genomic sequence information—especially sequence information that includes intraspecific variation—creates a bottleneck for management agencies wanting to harness the complete power of eDNA to monitor taxa and implement eDNA analyses. eDNA studies depend upon regional databases of mitogenomic sequence information to evaluate the effectiveness of such data to detect and identify taxa. We created the Oregon Biodiversity Genome Project to create a database of complete, nearly error-free mitogenomic sequences for all of Oregon's fishes. We have successfully assembled the complete mitogenomes of 313 specimens of freshwater, anadromous, and estuarine fishes representing 24 families, 55 genera, and 129 </span><span>species and lineages. Comparative analyses of these sequences illustrate that many regions of the mitogenome are taxonomically informative, that the short (~150 bp) mitochondrial "barcode" regions typically used for eDNA assays do not consistently diagnose for species, and that complete single or multiple genes of the mitogenome are preferable for identifying Oregon's fishes. This project provides a blueprint for other researchers to follow as they build regional databases, illustrates the taxonomic value and limits of complete mitogenomic sequences, and offers clues as to how current eDNA assays and environmental genomics methods of the future can best leverage this information.</span></p>
Datasets used for the performance evaluation of kataegis detection tools
<p>These two datasets (.csv files) were used for the performance evaluation of katdetectr and other publicly available kataegis detection tools (link to paper, not yet published).</p> <p>The synthetic data was generated using the generateSyntheticData function from the katdetectr package (https://github.com/ErasmusMC-CCBC/katdetectr).</p> <p>Additionally we provide all files and RData objects needed for running the scripts for the performance evaluation which can be found on GitHub at: https://github.com/ErasmusMC-CCBC/evaluation_katdetectr.</p> <p>We present this dataset under the Public Domain Dedication (CC0) waiver.</p>
Brewer #150 UV measurements and ancillary data needed for its uncertainty evaluation
<p>All files uploaded are needed to evaluate the uncertainty of the UV measurements recorded by the Brewer MKIII double monochromator (No. 150). The uncertainty analysis was carried out using the Monte Carlo technique, which was implemented in a separate R file (doi: 10.5281/zenodo.8046562). Files contain all the necessary information to characterize Brewer #150 (cosine correction, raw counts, lamp irradiance, responsivity instabilities, noise and wavelength shifts).</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.