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47,155 results for “evaluations”
Evaluating niche changes during invasion with seasonal models in Capsella bursa‐pastoris
<p><span>Premise</span></p> <p>Researchers often use ecological niche models to predict where species might establish and persist under future or novel climate conditions. However, these predictive methods assume species have stable niches across time and space. Furthermore, ignoring the time of occurrence data can obscure important information about species reproduction and ultimately fitness. Here, we assess and compare ecological niche models generated from full-year averages to seasonal models </p> <p><span>Methods</span></p> <p>In this study, we generate full-year and monthly ecological niche models for <em>Capsella bursa-pastoris</em> in Europe and North America to see if we can detect changes in the seasonal niche of the species after long-distance dispersal. </p> <p><span>Key Results</span></p> <p>We find full-year ecological niche models have low transferability across continents and there are continental differences in the climate conditions that influence the distribution of <em>C. bursa-pastoris</em>. Monthly models have greater predictive accuracy than full-year models in cooler seasons but no monthly models are able to predict North American summer occurrences very well.</p> <p><span>Conclusions</span></p> <p><span></span></p> <p>The relative predictive ability of European monthly models compared to North American monthly models suggests a change in the seasonal timing between the native range to the non-native range. These results highlight the utility of ecological niche models at finer temporal scales in predicting species distributions and unmasking subtle patterns of evolution.</p>
Audio files and dataset: Guess who? Evaluating individual acoustic monitoring for males and females of the Tawny Pipit, a migratory passerine bird with a simple song
<p>We have uploaded the audio files (song files + recording files) and the dataset of the analysis conducted in our manuscript entitled ''Guess who? Evaluating individual acoustic monitoring for males and females of the<br> Tawny Pipit, a migratory passerine bird with a simple song''. This study is published in the scientific journal ''Journal of Ornithology''. We have also provided a txt. file, called 'Read me' explaining the uploaded data in more detail.</p>
SYNTHESIS, CHARACTERIZATION AND ECOTOXICOLOGICAL EVALUATION OF Ag3VO4/Ag NANOCOMPOSITE
<p>Historically, the development of new methods of synthesizing materials has been linked to the development of societies, mainly due to the ability to promote changes in materials and enable new types of technological applications. Although there is quite sophisticated content about pulsed lasers in femtoseconds, there is still a need to understand the mechanisms of formation and transformation of semiconductor materials, as well as to verify the changes provided, in a more appropriate way, when synthesized by this technique. However, such development must always be combined with the need to minimize and verify environmental effects. This study had as its main objectives to synthesize Ag<sub>3</sub>VO<sub>4</sub> via the microwave-assisted hydrothermal method, in different synthesis times (t: 2, 4, 8, 16, 32, 64 min); irradiate the Ag3VO4 samples using a pulsed laser in femtoseconds to form the composite; characterize particulate composites; as well as to evaluate the ecotoxicity of the composite on the floating aquatic macrophyte species <em>Ricciocarpus natans</em>. The powders obtained from the composites were structurally characterized by the techniques of X-ray diffraction, Raman scattering spectroscopy and UV-Vis electronic spectroscopy, and had the surface characterized by scanning and transmission electron microscopy techniques, allowing the identification of structural alterations and surface. Theoretical calculations were used to understand the geometric, vibrational, electronic and charge distribution structures at the atomic level and the nature of chemical interactions present in semiconductor structures. In addition, toxicity bioassays were carried out until the 42nd day in order to obtain an analysis of the ecotoxicological effects, with the aid of mathematical modeling, of these particles on the bioindicator <em>Ricciocarpus natans</em>.</p> <p><strong>Electron Charge Density: 2D Map</strong></p> <p>Raw theoretical electron charge density files which are used to create 2D difference maps for Ag<sub>3</sub>VO<sub>4</sub> and AgVO<sub>3</sub> used in the main manuscript</p> <p><strong>Bader Charges</strong></p> <p>Raw theoretical Bader charges files for Ag<sub>3</sub>VO<sub>4</sub> and AgVO<sub>3</sub> used in the main manuscript</p> <p><strong>Band Structure and Density of States</strong></p> <p>Raw band structure and density of states files for Ag<sub>3</sub>VO<sub>4</sub> and AgVO<sub>3</sub> used in the main manuscript</p> <p><strong>Bioassays</strong></p> <p>Raw bioassays files for composite used in the main manuscript</p> <p><strong>Raman</strong></p> <p>Raw Raman files for Ag<sub>3</sub>VO<sub>4</sub> and composite and theoretical raw Raman files for Ag<sub>3</sub>VO<sub>4</sub> and AgVO<sub>3</sub> used in the manuscript</p> <p><strong>Rietveld Refinement</strong></p> <p>Raw Rietveld refinement files for Ag<sub>3</sub>VO<sub>4</sub> used in the manuscript</p> <p><strong>SEM</strong></p> <p>SEM images for Ag<sub>3</sub>VO<sub>4</sub> and composite used in the manuscript</p> <p><strong>TEM</strong></p> <p>TEM and EDX spectres and maps images for Ag<sub>3</sub>VO<sub>4</sub> and composite and nanodiffraction image for composite used in the manuscript</p> <p><strong>Optimized Structure</strong></p> <p>Raw optimized structure files for Ag<sub>3</sub>VO<sub>4</sub> and AgVO<sub>3</sub> used in the manuscript</p> <p><strong>TOPOND</strong></p> <p>Raw TOPOND files for Ag<sub>3</sub>VO<sub>4</sub> and AgVO<sub>3</sub> used in the manuscript</p> <p><strong>UV-Vis Spectroscopy</strong></p> <p>Raw UV-Vis files for Ag<sub>3</sub>VO<sub>4</sub> and AgVO<sub>3</sub> used in the manuscript</p> <p><strong>XRD</strong></p> <p>Raw XRD files for Ag<sub>3</sub>VO<sub>4</sub> and composite used in the manuscript</p> <p>Note: The words "composite" and "2min_irra or 64 min_irra" are used for the same kind of sample. They are synonymous in this work.</p> <p>Funding provided by: grant #2020/11232-3, São Paulo Research Foundation (FAPESP).</p> <p><em>This</em><em> </em><em>study</em><em> </em><em>was</em><em> </em><em>financed in part</em><em> </em><em>by</em><em> </em><em>the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance</em><em> Code 001.</em></p>
EVALUATION OF EDUCATIONAL POLICIES FOR EMERGENCY REMOTE EDUCATION AND THE POST-PANDEMIC: A STUDY BASED ON THE LEGAL FRAMEWORKS OF THE STATE SCHOOL SYSTEM OF RORAIMA, BRAZIL
<p>This article provides an assessment of the legal framework built during the social isolation phase of the COVID-19 pandemic, by the Federal Government and the State Government of Roraima, regarding the provision of Emergency Remote Teaching (ERE). This is a research with a qualitative approach, developed through document analysis and bibliographical research, with the selection and categorization of all educational regulations issued by the Union and the state of Roraima in the years 2020 and 2021, as well as articles that deal with of the theme of ERE in the Scielo database and in the Capes Catalog of Theses and Dissertations. The normative instruments that sought to guarantee the right to education of children, young people and adults in basic education when school attendance was prohibited were highlighted. Among the main conclusions, it was found that the lack of infrastructure and technological knowledge of school communities were obstacles, as the bibliography shows, even though legally there was a significant effort from the Roraima Government, to guarantee autonomy to schools in offering ERE.</p>
An Empirical Study to Evaluate the Impact of Mindfulness at a Software Company (Laboratory Package)
<p>For the empirical study carried out in an Andalusian software company to evaluate the effects of the practise of mindfulness, this laboratory package contains the experimental material used during its execution, the data sets (both "csv" and "sav" files) derived from the experimental tasks, and the results of the statistical analysis (both scripts and plots).</p>
Genomically predicted theoretical protein mass database for mass spectrometry (GPMsDB) evaluation datasets
<p>These are datasets obtained for the evaluation of GPMsDB (genomically predicted protein mass database) and its toolkits (GPMsDB-tk/GPMsDB-dbtk). The following datasets are deposited.</p> <ul> <li>The genome sequences of the strains newly sequenced and added using GPMsDB-dbtk (genomes_added.zip)</li> <li>MALDI-TOF-MS peak lists obtained from reference bacterial and archaeal strains (MALDI_peaklists.zip)</li> <li>16S rRNA gene sequences of the faecal isolates (mice_isolates_16S_nanopore.zip)</li> <li>Metagenome-assembled genomes from mouse faeces (mice_MAGs.zip)</li> </ul>
Smart Meter Water Consumption Measurements – Additional Evaluation Data
<p><strong>Data</strong><br> We collected the cumulative water consumption data in Germany using the commercially available smart meters <em>Hydrus 1.3, DN 20,00</em> from <em>Diehl Metering</em>. For evaluation purpose we further collected some label data on activity events and on out-of-house periods: <br> <em>Activity Data:</em> During defined time spans, we performed two typical household activities associated with water consumption and recorded the time at which they were performed. Specifically, we turned on various taps for 30 seconds and flushed the toilets.<br> We avoided concurrent water consumption and always waited at least 5~minutes between two activities.<br> <em>Out-of-house Data</em>: A separate data set is also collected in two test households. Besides the readings from the smart water meters, the absence times of the residents were also collected using the diary method. We handed the residents a log form in which they recorded those time points when no residents were in the house. The residents were also asked to note whether a washing machine or a dishwasher was running during a period of absence.</p> <p>Further information on data collection and description of the dataset can be found in Section 3 and Section 6 of the original article, which is available at the following DOI: <strong>TBD.</strong></p> <p><strong>Structure</strong><br> The <em>Zenodo</em> Archive has two folders, which distinguishes the two different sets of evaluation data. <br> The <em>Activity Data</em> contains subfolders for each of the examined frame. Each of these subfolders contains general information about the frame (e.g., household ID), the smart meter readings (<em>smartmeter.csv</em>) and a list of performed activities (<em>activities.csv</em>).<br> The <em>Out-of-house Data</em> contains two subfolders for the sampled households. These subfolders in turn contain a <em>periods.csv</em> file with the recorded times of presence, a <em>smartmeter.csv </em>file with the smart meter readings during the survey, and a general <em>info</em> document.</p>
Evaluation Input Data For The Combined Approach to Query Answering in Horn-ALCHOIQ
<p>This repository contains the evaluation input data for the following publication:</p> <blockquote> <p>David Carral, Irina Dragoste, Markus Krötzsch: <strong>The Combined Approach to Query Answering in Horn-ALCHOIQ.</strong> Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018).</p> </blockquote> <p>Further details are described therein.</p> <p><strong>Contents</strong><br> The repository contains the following directories:<br> - <strong>input-files</strong>: The input files used in the evaluation, both for our method (using RDFox) and for Konclude reasoner.<br> These are partitions of LUMB, Reactome, Uniprot and UOBM ontologies.<br> - <strong>RDFox_dependency</strong>: The RDFox reasoner used in our prototype implementation</p>
PatchFuzz evaluation corpora
<p>This package contains several compressed corpora used to evaluate PatchFuzz. These corpora are originally derived from the ones archived by the `magma` project, and minimized using `afl-cmin`.</p>
Demo data to evaluate zenodo-govdata integration
<p>This data will be used to investigate the feasibility of using Zenodo as a data repository for publishing BMWK data. In particular, the linking of Zenonod with GovData will be examined.</p>
Evaluation input for The Combined Approach to Query Answering in Horn-ALCHOIQ (Carral, Dragoste, Krötzsch, in proceedings of KR 2018)
<p>This repository contains the input data for the evaluation presented in the following publication:</p> <blockquote> <p>David Carral, Irina Dragoste, Markus Krötzsch: <strong>The Combined Approach to Query Answering in Horn-ALCHOIQ.</strong> Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018).</p> </blockquote> <p>Together with the materials in https://github.com/knowsys/eval-combined-approach-horn-alchoiq, the input data here provides all the necessary tools and datasets to reproduce the experiments described in this paper.<br> <br> Contents:<br> - <strong>input_files_for_Konclude </strong>- input data for the experiments that use Konclude tool<br> - <strong>input_files_for_RDFox </strong>- input data for the experiments that use our prototype (https://github.com/knowsys/eval-combined-approach-horn-alchoiq/tree/master/combined-approach), which is based on RDFox tool<br> - <strong>RDFox_dependency </strong>- the RDFox reasoner version used in our prototype implementation</p>
Korean Morpheme Disambiguation Evaluation Dataset
<p>바른팀(바이칼AI & 한국언론진흥재단)에서 구축한 한국어 모호성 평가 데이터세트</p>
Evaluations on numerical simulations of ozone dry deposition over the Yangtze River Delta
<p>Regional simulation of ozone dry deposition is an important tool for understanding ozone pollution threats and quantifying the ozone impact on terrestrial ecosystems. In this study, we evaluate ozone dry deposition in the Yangtze River Delta (YRD) region using two different dry deposition schemes. The WRF-Chem model, Wesely dry deposition scheme, and revised Surfatm dry deposition scheme were used to simulate the ozone dry deposition process in the YRD region, and results are compared with the observation over a winter wheat field. The results show that the simulated ozone concentrations (<em>c</em><sub>O3</sub>) of the two dry deposition schemes were good and lower than the measurements. The simulated ozone dry deposition velocity (<em>V</em><sub>d</sub>) in the Surfatm dry deposition scheme was more close to the measurements. The mean value of <em>c</em><sub>O3 </sub>and <em>V</em><sub>d</sub> in the YRD region ranged from 30 to 50 nL·L<sup>−1</sup> and from 0.2 to 0.5 cm·s<sup>−1 </sup>in the daytime, respectively. To improve the simulation results of the ozone dry deposition process, the simulation errors due to different land use types, the meteorological factors on dry deposition resistance functions, and the influence of chemical reactions must all be considered.</p>
Survey data of an integrative evaluation framework for assessing the sustainability of different types of urban agriculture
<p>In this dataset we present core data of an integrative evaluation framework for assessing the environmental, social, and economic sustainability of urban agriculture. The multi-criteria analysis is conducted by an Analytic Hierarchy Process and a participatory approach. The data integrate the selection and weighting of sub-criteria based on two online surveys:</p> <p>1) Survey 1: The selection of suitable sub-criteria for assessing the sustainability of urban agriculture was done by European scientific experts.</p> <p>2) Survey 2: The weighting of the selected sub-criteria was done on the example of vertical farming and community supported agriculture. Therefore, we involved stakeholders representing key actors for the implementation of urban agriculture: city administrations and non-governmental organizations (NGOs) of ten German case study cities, practitioners and technical-scientific experts.</p> <p> </p> <p><strong>List of data and content</strong></p> <p>1) Survey_1 (*.zip):</p> <ul> <li>Survey_1_Criteria_Selection_English: Online survey in English (*.pdf)</li> <li>Survey_1_Information_Sub-criteria_English: Information about the sub-criteria provided in the survey (in English) (*.pdf)</li> <li>Survey_1_Groups: Results of the statistical analyses (U-tests and Kruscal-Wallis) to detect group-specific differences (e.g. gender, different length or degree of experience with urban agriculture, scientific focus, target group, expertise); the tests were conducted with IBM SPSS Statistics 25 (*.xlsx)</li> </ul> <p>2) Survey_2 (*.zip):</p> <ul> <li>Survey_2_AHP_City_Administrations_German: Online survey for city administrations in German (*.pdf)</li> <li>Survey_2_AHP_Practitioners_German: Online survey for practitioners and technical-scientific experts in German (*.pdf)</li> <li>Survey_2_AHP_NGOs_German: Online survey for NGOs in German (*.pdf)</li> <li>Survey_2_Information_Sub-Criteria_German: Information about the sub-criteria provided in the survey (in German) (*.pdf)</li> <li>Survey_2_Groups: Results of the statistical analyses (U-tests and Kruscal-Wallis) to detect group-specific differences (e.g. gender, different length or degree of experience with urban agriculture, scientific focus, target group, expertise); the tests were conducted with IBM SPSS Statistics 25 (*.xlsx)</li> <li>rdata_CA_AHP_edible_Cities_2022-03-18_10-28: Results of the survey for city administrations (*.csv)</li> <li>rdata_NGO_AHP_edible_Cities_2022-03-18_10-40: Results of the survey for NGOs (*.csv)</li> <li>rdata_PE_AHP_edible_Cities_2022-03-18_10-41: Results of the survey for practitioners and technical-scientific experts (*.csv)</li> <li>rdata_all_AHP_edible_Cities_2022-03-18_09-53: Total results of the survey</li> </ul> <p> </p> <p><strong>Data acquisition and processing</strong></p> <p>The methods are described in this linked publication:</p> <p><span>John, H., & Artmann, M. (2024). Introducing an integrative evaluation framework for assessing the sustainability of different types of urban agriculture. </span><span>I<em>nternational Journal of Urban Sustainable Development, </em></span>16 (1), 35-52<em><span>. </span></em><span>doi:<em> </em>10.1080/19463138.2024.2317795</span></p> <p>The methodology of the performed analytic hierarchy process (AHP) is published in a separate repository on GitHub including a paper that systematically explains the AHP by means of code examples, starting with the raw data, through their adaptation to the software functions of the ahpsurvey R-package, and finally, execution of the AHP up to the visualization of the results.</p> <p> </p> <p><strong>Acknowledgments</strong></p> <p>The authors thank Mabel Killinger and Marie Herzig for their help in stakeholder identification as well as all experts and stakeholders for their participation in the two online surveys and their helpful comments. Data processing and analysis by means of an Analytic Hierarchy Process in R would not have been possible without the help of Björn Kasper.</p>
# Blocks? Graphs? Why Not Both? Designing and Evaluating a Hybrid Programming Environment for End-users: Replication Package
<p><strong>Blocks? Graphs? Why Not Both? Designing and Evaluating a Hybrid Programming Environment for End-users: Replication Package</strong></p> <p>This repository contains supplementary materials for the paper "Blocks? Graphs? Why Not Both? Designing and Evaluating a Hybrid Programming Environment for End-users". We provide this data for transparency reasons and to support replications of our experiemnts.</p> <p><em>Note: This package is anonymized for peer review purposes. We will provide contact information for the authors at a later date. We also plan to add interactive versions of our tasks and tutorials in an updated version to allow readers easier exploration/experimentation.</em></p> <p><strong>Summary of files contained in this package</strong></p> <p>This package contains two parts:</p> <ul> <li> <p>The <code>data-analysis/</code> folder contains the raw dataset we collected for our experiment in CSV format, as well as scripts we used for our analyses.</p> <ul> <li>Column <code>ID</code> contains a unique 4-digit identifier for each participant that they were assigned throughout our study.</li> <li>Column <code>Group</code> contains the group (Blocks/Graph) that participants were randomly assigned to.</li> <li>Columns <code>Task1Time</code> and <code>Task2Time</code> contain the time participants spent to complete the two programming tasks of our study in minutes.</li> <li>Columns <code>Task1Success</code> and <code>Task2Success</code> contain a boolean value indicating whether the participants successfully completed the given task. Note that participants had unlimited attempts until they timed out after a strict time limit of 30 minutes, so if a participant was unsuccessful the corresponding time value is 30.</li> <li>Columns <code>Task1Tests</code> and <code>Task2Tests</code> contain the number of times a participant executed their code throughout a task, including their final submission if they were successful.</li> <li>Columns <code>LearnTask</code>, <code>ReadTask</code> and <code>WriteTask</code> contain the scores that participants gave to the task editor component of their assigned programming environment. There are 3 scores for the categories "learnability", "readability" and "writability". Scores are on a 5-point scale from 1 (worst) to 5 (best).</li> <li>Columns <code>LearnTrig</code>, <code>ReadTrig</code> and <code>WriteTrig</code> contain the scores that participants gave to the trigger editor component of their assigned programming environment. There are 3 scores for the categories "learnability", "readability" and "writability". Scores are on a 5-point scale from 1 (worst) to 5 (best).</li> <li>Columns <code>LearnComp</code>, <code>ReadComp</code> and <code>WriteComp</code> contain the scores that participants gave to their assigned assigned programming environment in direct comparison to the other alternative. There are 3 scores for the categories "learnability", "readability" and "writability". Unlike in the paper, where scores are on a scale from -2 to 2, the raw scores here are on a 5-point scale from 1 (strong preference for other environment) to 5 (strong preference for own environment).</li> <li>The script <code>survival.py</code> was used to perform the survival analysis presented in the paper and generate the related figure.</li> <li>The script <code>batplot.py</code> was used to generate the 3x3 grid of ratings used in a figure in the paper.</li> </ul> </li> <li> <p>The <code>materials/</code> folder contains the tutorials and task descriptions we presented to study participants. It also contains the exact wording of pre-screening and post-experiemental survey questions.</p> <ul> <li>The image <code>pre-screening.png</code> shows the three pre-screening questions we used to determine whether our participants could be included in our study.</li> <li>The images <code>tutorial1_instructions.png</code> and <code>tutorial1_sim.png</code> contain the instructions and initial simulator state we provided to participants for the first programming tutorial. This tutorial did not provide starter code and was identical for both participant groups.</li> <li>The images <code>tutorial2_instructions.png</code> and <code>tutorial2_sim.png</code> contain the instructions and initial simulator state we provided to participants for the second programming tutorial. This tutorial was identical for both participant groups and provided participants with starter code, which is shown in the images: <ul> <li><code>tutorial2_code_main.png</code> for the main program in the left canvas</li> <li><code>tutorial2_code_move.png</code> for the definition of "Move box to the right".</li> </ul> </li> <li>The images <code>tutorial3_instructions_blocks.png</code>/<code>tutorial3_instructions_graph.png</code> and <code>tutorial3_sim.png</code> contain the instructions and initial simulator state we provided to participants for the third programming tutorial. This tutorial also provided participants with starter code, which is shown in the images: <ul> <li><code>tutorial3_code_main.png</code> for the main program in the left canvas</li> <li><code>tutorial3_code_pick.png</code> for the definition of "Pick up box"</li> <li><code>tutorial3_code_place.png</code> for the definition of "Place box"</li> </ul> </li> <li>The images <code>task1_instructions.png</code> and <code>task1_sim.png</code> contain the instructions and initial simulator state we provided to participants for the first programming task. The task did not provide starter code and the instructions were identical for both participant groups.</li> <li>The images <code>task2_instructions.png</code> and <code>task2_sim.png</code> contain the instructions and initial simulator state we provided to participants for the second programming task. The instructions were identical for both groups. This task also provided participants with starter code, which is shown in the images: <ul> <li><code>task2_code_main.png</code> for the main program in the left canvas</li> <li><code>task2_code_pick_prog.png</code> for the definition of "Pick up block"</li> <li><code>task2_code_load_trig_blocks.png</code>/<code>task2_code_load_trig_graph.png</code> for the definition of the trigger "Ready to load machine"</li> <li><code>task2_code_load_prog.png</code> for the definition of "Load and activate machine"</li> <li><code>task2_code_finished_trig_blocks.png</code>/<code>task2_code_finished_trig_graph.png</code> for the definition of the trigger "Machine finished"</li> <li><code>task2_code_finished_prog1.png</code> for the definition of "Get block from machine"</li> <li><code>task2_code_finished_prog2.png</code> for the definition of "Place block in bin"</li> </ul> </li> <li>The image <code>usability.png</code> shows the usability questions we used to determine a participant's rating of their assigned programming environment. The questions were identical for both participant groups.</li> <li>The images <code>comprehension_blocks_1.png</code> and <code>comprehension_blocks_2.png</code> show the program comprehension questions we used to determine whether participants in the Blocks group could understand more complex triggers.</li> <li>The images <code>comprehension_graph_1.png</code> and <code>comprehension_graph_2.png</code> show the program comprehension questions we used to determine whether participants in the Graph group could understand more complex triggers.</li> <li>The images <code>comparison_blocks.png</code> and <code>comparison_graph.png</code> show the images of triggers in the alternative environment that we showed to our participants before choosing their preferred environment. The questions were identical for both participant groups.</li> <li>The image <code>comparison.png</code> shows the questions we used to determine a participant's preference between the two programming environment alternatives.</li> </ul> </li> </ul>
Supplementary data for "Critically Evaluated Atomic Data for Au IV Spectrum"
<p>Transition data for computing opacity of Au IV in the kilonova ejecta have been provided. These files are a part of the article, "Critically Evaluated Atomic Data for Au IV Spectrum" submitted to ApJS journal. The files named as "Au4_Levels_Opacity.txt" and "Au4_Lin_Opacity.txt" describe the energy levels of Au IV spectrum and its radiative line parameters for E1-type of transitions, respectively.</p>
10 - Falsifiability as a standard of evaluation of scientific theories
<p> </p> <p>Session #10 of the REINFORCE Critical & Scientific Thinking course, entitled, 'Falsifiability as a standard of evaluation of scientific theories', is given by Stefano Gattei, Professor of Science in Society, at the University of Trento, Italy.</p> <p>During the session, Prof. Gattei continues the examination of Popper's work and looks in detail at the ideas of conjecture and refutation.</p>
From Good Science to Good Practice: An Implementation Evaluation of a Home-based Exercise Intervention for COPD Patients
<p>With this study we aimed to comprehensively evaluate the implementation of the home-based HOMEX exercise program in the course of an RCT and the subsequent months, considering the perspective and experience of the involved persons and potential future providers. The results provided guidance to optimize the program and material and to ensure the programs’ long-term sustainability. We provide the following data:</p> <p>Data from patients</p> <ul> <li>Excel File <strong><em>Satisfaction_IG_HOMEX-1_T4.xlsx</em></strong> <ul> <li>Satisfaction questionnaire, 1-year follow-up, intervention group participants (n=53)</li> </ul> </li> <li>Word Files <ul> <li>Transcripts of interviews with 9 selected intervention group participants</li> </ul> </li> </ul> <p>Data from coaches:</p> <ul> <li>Excel File <strong><em>Coaches_Questionnaire_Satisfaction.xlsx</em></strong> <ul> <li>Satisfaction survey, after study end, 12 coaches</li> </ul> </li> </ul> <p> </p> <p><strong>Publication:</strong></p> <p>Cerini T, Kunz R, Dalla Lana K, Radtke T, Polhemus A, Puhan MA, Frei A. Evaluation of the Implementation of a Home-Based Exercise Training Program for People With COPD: A Mixed-Methods Study. <em>Frontiers in Rehabilitation Sciences</em> Front Rehabil Sci; 2021; 2: 743588 / DOI: <a href="https://doi.org/10.3389/fresc.2021.743588"> 10.3389/fresc.2021.743588 </a></p> <p> </p>
SASS-E: The Steelpan Audio Sample Set for Evaluation
<p>SASS-E is an audio dataset containing 13,313 one-hit audio samples from three distinct steelpans.</p> <p><strong>Citation</strong></p> <p>This dataset is part of paper that will be published in the NIME 2023 proceedings in June, 2023. This section will be updated to reflect that citation then.</p> <p><strong>Data curator</strong></p> <p>Colin Malloy</p> <p><strong>Contact</strong></p> <p>You can contact Colin regarding this dataset at malloyc@uvic.ca.</p> <p> </p> <p><strong>About SASS-E</strong></p> <p>The SASS-E dataset is an audio dataset curated as part of Colin's PhD research. It consists of over 13,000 one-hit audio samples from three tenor steelpans totaling over 9 hours and 25 minutes of audio The samples were recorded in a professional quality recording studio at 48 kHz/ 24-bit depth. Approximately 50 strikes were recorded per note per instrument at a wide variety of dynamic levels and beating areas. This allows for comprehensive coverage of minute details and fluctuations in timbre.</p> <p>The audio samples are pre-split into training, validation, and test sets with 7,931 samples in the training set, 2,680 samples in the validation set, and 2,702 samples in the test set.</p> <p>The audio files are have filenames in the following format: <MIDI note number>_<set>_<instrument label>_sample_<number>.wav. They are each labeled with the MIDI note number for the given note struck. The instrument label is in the format "ctenor-0x" where x is the number assigned to the instrument.</p> <p> </p> <p><strong>Future of SASS-E</strong></p> <p>In the future, we plan to add samples from a wider variety of steelpans. The goal is to create a comprehensive dataset that covers all major varieties of steelpans from the soprano to bass voices of the family. This will include other kinds of tenor steelpans (such as low D tenors, Invader tenors, and 3rds/4ths tenors).</p> <p> </p> <p><strong>License</strong></p> <p>All of the samples in SASS-E are released under Creative Commons (CC) CC-BY-NC. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. Specifically, these samples are not to be used in a commercial sample library (such as a virtual instrument).</p>
Data from: Evaluation of primer pairs for eDNA‐based assessment of Ephemeroptera, Plecoptera, and Trichoptera across a biogeographically diverse region
<p><span>Macroinvertebrates serve as key indicators in ecological assessments of aquatic ecosystems, where the composition and richness of their communities is indicative of environmental and anthropogenic drivers. Established monitoring of macroinvertebrates is expensive, time-consuming, and relies on expert taxonomic knowledge. In contrast, biomonitoring based on molecular tools can support faster characterization of aquatic communities but needs validation for the target taxonomic groups and the study region. Here, we used data from a biomonitoring program covering a large biogeographic gradient to compare the routine kick-net method with eDNA metabarcoding. We used two primer pairs targeting COI, one targeting a broad metazoan spectrum (miCOIintF/jgHCO2198) and another more recently developed primer pair optimized for the detection of freshwater invertebrates (fwhF2/EPTDr2n). We used the data of the macroinvertebrate monitoring with a focus on the orders of Ephemeroptera, Plecoptera, and Trichoptera across 92 rivers in Switzerland, covering four continental drainage basins and an elevational range from 198 to 1650 m a.s.l. Across all sampled sites, the kick-net detected more distinct taxa than either of the metabarcoding approaches. At a site level, however, both primer pairs detected on average more species. Comparing both primer pairs, the fwhF2/EPTDr2n primer pair captured more species assigned to the indicator groups Ephemeroptera, Plecoptera, and Trichoptera, and showed a significantly larger overlap with the kick-net method. However, the community composition still varied significantly among the different approaches. Fewer Trichopterans were recovered by eDNA metabarcoding, whereas the fwhF2/EPTDr2n primer pair detected more Plecopterans than the other two approaches. This study highlights the importance of optimization and validation of novel molecular approaches under consideration of the target organismal group and the study area.</span></p>
ScienceDex guides
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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.