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47,155 results for “evaluations”
Evaluation data for: Adaptive sampling by citizen scientists improves species distribution model performance: a simulation study
<p>All of the evaluation data for the simulations in the paper: Adaptive sampling by citizen scientists improves species distribution model performance: a simulation study. We considered the impact of five adaptive sampling methods on the performance of species distribution models (SDMs), please see the paper for more information. Contained in this repository are the evaluation metrics (AUC, mean square error (MSE) and correlation) for SDMs before and after adaptive sampling has taken place. The MSE and correlation evaluation metrics were calculated against the true distributions of the species. These files are those with "combined_outputs" in the titles. The repository also contains the observations of all the species in the simulations both before and after adaptive sampling (the files with "all_observations" in the title.</p> <p>These datasets are to be used with the plotting and evaluation scripts in the GitHub repository associated with the paper.</p>
Datasets of synthetic task flow graphs for evaluating a latency/energy optimization task allocation framework
<p>These datasets of synthetic task flow graphs were generated to evaluate the performance and scalability of an optimal task allocation approach for applications of various structures and sizes in an environment following the edge/hub/cloud paradigm. The system under study comprised an edge device (e.g., a single-board computer attached to an unmanned aerial vehicle (UAV)) interacting with a hub device (e.g., a laptop), which in turn communicated with a more computationally capable cloud server. The objective was the minimization of either overall latency or overall energy consumption, under memory, storage, energy, and task precedence constraints. We considered that a percentage of the tasks required fixed allocation on the edge or hub device.<br> <br>We generated 18 task flow graphs of parallel, serial, and mixed (a combination of parallel and serial) structure with 10, 100, and 1000 nodes, and various in/out degrees, utilizing the Task Graphs For Free (TGFF) random task graph generator [1],[2]. Additional task parameters (e.g., execution time, power consumption, memory, storage, output data size) were included post-generation, using representative random values. More details are provided in README.txt and in [3].<br> <br>Note: These datasets are released under a Creative Commons Attribution license. If you utilize these datasets in your work, please cite us using the corresponding Zenodo DOI https://doi.org/10.5281/zenodo.10654551.<br> <br>References:<br>[1] R. P. Dick, D. L. Rhodes, and W. Wolf, "TGFF: Task graphs for free," Proceedings of the Sixth International Workshop on Hardware/Software Codesign (CODES/CASHE), 1998, pp. 97-101, doi: 10.1109/HSC.1998.666245.<br>[2] R. P. Dick, D. L. Rhodes, and K. Vallerio, "TGFF," https://robertdick.org/projects/tgff/.<br>[3] A. Kouloumpris, G. L. Stavrinides, M. K. Michael, and T. Theocharides, "An optimization framework for task allocation in the edge/hub/cloud paradigm," Future Generation Computer Systems, vol. 155, pp. 354-366, Jun. 2024, doi: 10.1016/j.future.2024.02.005.</p>
Dataset of paper "Evaluation Of Microplastics Release From Solar Water Disinfection Poly(Ethylene Terephthalate) And Polypropylene Containers"
<p>Dataset of paper "Evaluation Of Microplastics Release From Solar Water Disinfection Poly(Ethylene Terephthalate) And Polypropylene Containers":</p><ul><li>Effect of the underlying glass fiber (GF) filter on the baseline of an HDPE MP microreflectance spectrum.</li><li>Comparison between the spectrum of a particle collected from the treated water and the spectrum of pristine high-density polyethylene polymer.</li><li>Number of total microplastics (high-density polyethylene and polypropylene) found in PET bottles.</li><li>Number of total microplastics (high-density polyethylene and polypropylene) found in TJC containers.</li><li>Comparison between the spectrum of PP particles recovered after 10 weeks of exposure time.</li><li>Number of microplastics identified as polypropylene and weathered polypropylene in the samples corresponding to the translucent jerrycans containers.</li><li>Number of microplastics identified as polypropylene and weathered polypropylene in the samples corresponding to the transparent jerrycans containers.</li><li>Number of polypropylene microplastics found in the translucent and transparent jerrycans containers.</li><li>Number of microplastics found in PET bottles and TJC containers.</li><li>Size of the microplastics found in the study. </li><li>Abundance of each target polymer found in the study based on the measured minor particle dimension.</li></ul>
Performance evaluation of BARtab Holze et al., 2023
<p>Comparison of synthetic barcode extraction and quantification pipelines BARtab.</p> <p>tool-comp-results.tar.gz:</p> <p>Comparison of BARtab, pycashier and TimeMachine/Rewind on population-level data. </p> <p>Input data: https://figshare.com/articles/dataset/FateMap_Paper_datasets_3_Goyal_et_al_2021_Biorxiv_/22806494</p> <p> </p> <p>tools-comp-sc-results.tar.gz:</p> <p>Comparison of BARtab and FateMap/Rewind on single-cell level data.</p> <p>Input data: fastq files from https://figshare.com/articles/dataset/FateMap_Paper_datasets_2_Goyal_et_al_2021_Biorxiv_/22802888?file=40535864 and barcode.tsv.gz files from GEO GSM7434409, GSM7434410, GSM7434411, GSM7434412.</p> <p> </p> <p>Code for both analyses: https://github.com/DaneVass/bartools_manuscript_code/tree/main/tools-comparison</p>
Data from: Evaluating genotyping-in-thousands by sequencing as a genetic monitoring tool for a climate sentinel mammal using non-invasive and archival samples
<p>Genetic tools for wildlife monitoring can provide valuable information on spatiotemporal population trends and connectivity, particularly in systems experiencing rapid environmental change. Though many DNA sequencing approaches still require high quality and quantity of DNA obtained from traditional sources (e.g. blood and tissue), rapid genotyping tools such as Genotyping-in-Thousands by sequencing (GT-seq) have improved our ability to make use of degraded and less concentrated DNA commonly obtained from non-invasive and archival samples. Here, we developed a multi-purpose GT-seq panel (307 single nucleotide polymorphisms) for a climate sentinel mammal (the American pika, <em>Ochotona princeps</em>) for use as a genetic tool for monitoring populations in the Canadian Rocky Mountains. We optimized the panel using contemporary tissue samples (n = 77) and subsequently applied it to archival tissue (n = 17) and contemporary fecal pellet samples (n = 129) to evaluate its effectiveness at identifying individuals and sex, estimating relatedness, and inferring population structure. The panel demonstrated high efficacy with contemporary and archival tissue samples (94.7% and 90.5% genotyping success, respectively) and negligible genotyping error (0.001% and 0.0%, respectively). Despite relatively high genotyping success for fecal pellet samples (79.7%), high genotyping error (28.4%) limited its power as a monitoring tool to assess genetic variation using non-invasive samples and highlighted the need for further optimization around sample and data collection.</p>
Experimental data for: "Experimental evaluation of the use of cruciform specimens for biaxial stability analysis"
<p>Dataset containing the raw data, in Microsoft Excel format, of a biaxial compression-compression test (C-C-3) used as representative test analysed in the manuscript "Experimental evaluation of the use of cruciform specimens for biaxial stability analysis".</p> <p>The dataset includes:</p> <ul> <li>Raw data from the biaxial testing machine (force/displacement for the 4 electromechanical actuators).</li> <li>Raw data from the strain gauge rosette placed in the biaxially-loaded region.</li> <li>Partially analyzed data, obtained using a 3D Digital Image Correlation facility and postprocessed using LaVision Davis software to obtain the strain and transversal displacement in the gauge region.</li> </ul>
Data for: Pangenome evaluation of gene essentiality in Streptococcus pyogenes
<p>This is the raw output files of analyses using methods within the <a href="https://transit.readthedocs.io/en/latest/">Transit</a> toolkit on <em>Streptococcus pyogenes</em> transposons sequencing datasets. In total there are nine datasets of both Tn5-like and Himar1-like transposons.</p> <p>Information about read handling and analysis of the data can be found in the publication: https://doi.org/10.1101/2023.08.29.555273 </p>
Jacdac: Service-based Prototyping of Embedded Systems (Artifact Evaluation)
<p>This artifact allows others to reproduce and explore the results seen in "Jacdac: Service-based Prototyping of Embedded Systems". The artifact contains a prebuilt docker image and the Dockerfile source used to produce the prebuilt docker image. Evaluators should follow the README contained in this artifact for complete instruction.</p>
94 GHz cloud radar simulation data using NICAM and Joint simulator for evaluation of ground-based radar and application to the EarthCARE satellite
<p><strong>Overview</strong></p> <p>These data are snapshots of simulated radar reflectivity and Doppler velocity from the 94 GHz Cloud Profiling Radar (CPR). The simulations were conducted using the Joint-Simulator for Satellite Sensors (Joint-Simulator; Hashino et al., 2013; Roh et al., 2020), and the input data was from the Nonhydorstatic Icosahedral Atmospheric Model (NICAM; Satoh et al., 2014). To focus on the region of interest with high resolution, NICAM transformed the grid (the stretched NICAM; Tomita 2008a) using a G-Level 10 (GL10) horizontal resolution with a stretch-factor of 100 (the ratio between the maximum and minimum grid intervals), where the minimum grid interval is approximately 800 m. We simulated two cases of rain events in September 2019. The first case (case 1) is the tropical cyclone (TC) Faxai. The second is a weak frontal system (case 2). In case 1 the integration and analysis time was from 00 UTC on 8 September to 00 UTC on 9 September 2019. In case 2 the integration and analysis time was from 00 UTC on 20 September to 00 UTC on 21 September 2019. We evaluated the data using the gournd observation and introduced a methodology for using the CPR data for model evaluations. We simulated Doppler velocity of the EarthCARE CPR. </p> <p> </p> <p><strong>Directory structure and file format</strong></p> <p>There are two files.</p> <p>For Ground_CPR, there are simuation data based on the ground.</p> <p>For Satellite_CPR, there are simulation data bsed on instrument setting of EarthCARE CPR.</p> <p>(Note the order of the array of Satelltie_CPR is different from Ground_CPR.)</p> <p>The files are in the NetCDF4 format.</p> <p>The files have the following name format.</p> <p>AAA_XXX_TIME_EASE.nc</p> <p>AAA: Ecare (CPR simulation withot random errors), Mode(CPR simulation with randome errors based on window observaion mode)</p> <p>XXX: NICAM Single Moment sheme 6 category (NSW6) and NICAM Dobule Moment scheme 6 category(NDW6)</p> <p>TIME: The simulation time</p> <p>EASE: EarthCARE Active SEnsor simulator (EASE)</p> <p> </p> <p> </p> <p> </p> <p>These data are only one snapshot data and limited variables becuase of file size issue.</p> <p>If you have any questions or want additional data, please contact the email below</p> <p>Contacts:</p> <p>Woosub Roh (ws-roh@aori.u-tokyo.ac.jp)</p>
Evaluation Artifacts of RESTRuler, a Static Analysis Tool to Detect Design Rule Violations in OpenAPI Definitions
<p>All artifacts related to the empirical evaluation of the RESTRuler CLI, a Java-based tool to identify design rule violations in OpenAPI descriptions</p> <p>You can find the latest version here: <a href="https://github.com/restful-ma/rest-ruler-evaluation">https://github.com/restful-ma/rest-ruler-evaluation</a></p>
Example environment and files for the ATS evaluation
<p>Example of an working environment for ATS. Included are the workflows and manual evaluation scripts, the target lists for LC-ESIpos and GC-EI, the minified raw data in .mzML as well as the results after ATS evaluation.</p>
Satellite Precipitation Products data performance evaluation with observed datasets
<p>Datasets used for evaluation of Satellite Precipitation Products (SPPs). We used Three open-source datasets from different sources for our evaluation of the SPPs applicability in real-time flood forecasting.</p>
Fig. 3 in First Japanese Records of the Indo-Pacific Scorpionfish (Scorpaenidae) Scorpaenodes corallinus, with a Re-evaluation of Coronal Spines as a Diagnostic Character
Fig. 3. Holotype of Scorpaenodes corallinus (SAIAB 301, 64.4 mm SL, Pinda Island, Mozambique).
Dataset for the research article titled "Evaluation of Reanalysis and Satellite Products against Ground-based Observations in a Desert Environment "
Open the record for dataset details and reuse information.
Data from: Evaluating the impact of historical climate and early human groups in the Araucaria Forest of Eastern South America
<p>It has been hypothesized that the Araucaria Forest in Southern Brazil underwent expansions in the past, driven either by human groups or by climate fluctuations of the Holocene and Pleistocene. Fossil pollen records of the Paraná Pine (<em>Araucaria angustifolia</em>), a dominant tree in that forest, provide some insights into when those may have occurred. Still, the timing of those expansions has never been estimated. To infer past range shifts and shed light on their main drivers, we employed next-generation DNA sequencing (ddRADseq), machine learning, and a comprehensive database of fossil pollen records in a study of historical demographic inference and paleo-distribution modeling of the Paraná Pine. We found that <em>A. angustifolia</em> comprises two populations expanding at different times: one in the Mantiqueira mountain chain, and the other in the southern Brazilian plateau. The Southern population began to expand during the Last Glacial Period ~70kya, long before human arrival in South America. Still, genetic analyses support that humans later impacted this population, resulting in lower genetic diversity, higher inbreeding, and high levels of gene flow over large distances with a weak pattern of isolation by distance. It is possible this resulted from human influence on seed dispersal and germination on the Southern Brazilian plateau. The Mantiqueira population, in contrast, expanded only recently (~3kya). This timing coincides with Holocene climatic changes and human settlements established further south, although, to date, there is little archeological evidence of human impact in the Mantiqueira. In addition, multitemporal species distribution models built from a combination of present-day and pollen records infer range expansion of the Araucaria Forest during glacial times until the cold humid HS1 event (~16kya), when the forest was most widespread, with no evidence of glacial refugia. The combination of genomic and spatial analyses suggests that both human and climatic controls played a role in the dynamics of the Araucaria Forest.</p>
Bloom's Taxonomy: Analysis of Evaluation Criteria through the GPT Model
<p>This entry contains the methodology used for the evaluation of assessment criteria associated with educational competencies through a GPT model, using Bloom's taxonomy as the foundation. This analysis is framed within the context of the Spanish educational legislation LOMLOE for Primary Education.The document is structured into two spreadsheets named "pruebas_BloomClassifier" and "analisis_datos". These include the collection of data in the various tests of the classification of assessment criteria by the GPT model and the subsequent quantitative analysis. On the other hand, the conversations through which BloomClassifier has classified the evaluation criteria have been compiled into a .zip file.</p>
Training and test data for antibody humanness evaluation
<p>### Training and test data for humanness evaluation</p> <p>This data was collected in conjunction with and used for<br>training and testing for Parkinson / Wang et al 2024. The<br>data is organized as follows:</p> <p>- Heavy chain training and multispecies test data (under the heavy chain folder)<br> - The conslidated cAb rep file contains training human sequences<br> - The test sample sequences folder contains fasta files with test sequences for each species<br>- Light chain training and multispecies test data (under the light chain folder)<br> - The conslidated cAb rep file contains training human sequences<br> - The test sample sequences folder contains fasta files with test sequences for each species<br>- Abybank data (under the abybank compiled data folder)<br> - This folder contains separate folders for heavy and light chain<br> - Each subfolder contains test data for a more diverse species set under fasta files for each species<br>- Humanization test data (under the humanization test data folder)<br> - The sequences in the parental.fa file were originally humanized as part of drug discovery programs<br> - The experimental.fa file contains the humanization results<br>- IMGT and ADA data (under the imgt test data folder)<br> - The imgt mab db fa and tsv files contain sequences and species assignments for IMGT mAb DB<br> - The thera ada fa file contains sequences evaluated in the clinic<br> - The Therapeutic ADA txt file contains anti drug antibody results for those antibodies<br>- VDJ statistics (under the vdj_statistics_eval folder)</p> <p>The data was retrieved from the following sources.</p> <p>1. All heavy and light chain training data is from the cAb-Rep database from [Guo et al.](https://pubmed.ncbi.nlm.nih.gov/31649674/)<br>2. All testing data is from the Observed Antibody Space [(OAS) database](https://opig.stats.ox.ac.uk/webapps/oas/)</p> <p>The training and test data show is after filtering for quality. The testing data was additionally randomly sampled to yield a set of 50,000 sequences for each species, then filtered to remove duplicates. The human test data was checked to ensure no overlap with the human training set.</p> <p><br>The IMGT, ADA and humanization test data was retrieved from Prihoda et al. and<br>the associated [Github repo](https://github.com/Merck/BioPhi-2021-publication).</p> <p>See Parkinson et al. 2024 and the associated github repos for more details on how models other than<br>SAM / AntPack were evaluated on this data.</p>
Evaluation of the administrative management model in a municipality in Peru, incorporating the Intelligent Organization Theory
<p><strong>Background:</strong> This study begins with the analysis of the current management models and their degree of effectiveness in municipal administration. Its aim is to design an administrative management model that enables effective administration in the District Municipality of Nueva Cajamarca, Peru, based on the theory of intelligent organizations.</p><p><strong>Method: </strong>The research type employed in this study is diagnostic-propositional, utilizing both deductive and inductive methods, in alignment with a mixed-method approach and a non-experimental nature of the study. Data was collected from three distinct populations, including the 189 municipal employees engaged in administrative roles, who were subjected to a 50-question survey. This survey aimed to assess their perceptions regarding the current management model and its relationship with administrative effectiveness. Additionally, interviews were conducted with three experts to gain deeper insights into the behavior of the variables under investigation.</p><p><strong>Results: </strong>Finally, documentary information about the management models currently in use was collected. This facilitated the triangulation of data collection, processing, analysis, and inferences from three sources of information. The results reveal a positive, direct, and significant correlation between the management model and administrative effectiveness. It becomes evident that the current management model is deficient, resulting in a low level of administrative effectiveness</p><p><strong>Conclusion: </strong></p><p>The management model based on the theory of intelligent organizations was validated using a rubric by experts in effective management. The main pillars of this model include transformational leadership, structural change, and cultural change.</p>
Observational dataset for "Using Satellite and ARM Observations to Evaluate Cold Air Outbreak Cloud Transitions in E3SM Global Storm-Resolving Simulations"
<p>This observational dataset include the DOE ARM ground based observations and satellite for the paper titled “Using Satellite and ARM Observations to Evaluate Cold Air Outbreak Cloud Transitions in E3SM Global Storm-Resolving Simulations” on GRL.</p> <p>For the original data source, all ARM observational data sets used in this study are publicly available from the ARM data archive site (https://adc.arm.gov/discovery/#/results/iopShortName::amf2019comble/datastream::anxarmbeatmM1.c1/datastream::anxarmbecldradM1.c1/datastream::anxarsclkazr1kolliasM1.c0). MODIS MOD06 L2 cloud product are publicly available from (https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD06 L2, DOI:10.5067/MODIS/MOD06 L2.061).</p> <p>CloudSat products can be ordered from the CloudSat Data Processing center (https://www.cloudsat.cira.colostate.edu/order/). To download CloudSat data, a new user must first create an account by filling out the signup form (https://www.cloudsat.cira.colostate.edu/accounts/signup/).</p>
Evaluating the Development Skills in Early Childhood Education among Kindergarten Learners
<p>This study investigates the relationship between various <br>demographic and early childhood development skills among learners. <br>Through a detailed analysis of age & gender distribution, parental education, <br>family income, sibling number, and early childhood proficiency levels across <br>different skill sets, the study aims to uncover patterns and potential disparities. <br>Notably, it explores the gender disparity among learners and in parental <br>education levels, with a significant emphasis on the impact of socioeconomic <br>status on educational access and opportunities. Despite initial assumptions, <br>statistical analysis reveals that demographic and socioeconomic factors do not <br>significantly influence early childhood development skills, suggesting the <br>critical role of quality education and inclusive environments. This research <br>underscores the importance of equal access to quality educational resources <br>and opportunities for all children, emphasizing that early childhood <br>development transcends demographic and socioeconomic boundaries. The <br>findings advocate for educational policies and interventions that focus on <br>holistic child development, aiming to provide every child with a strong <br>foundation for future learning and success</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.