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240 results for “research evaluation”
Evaluation Data [Supplement to PhD "Machine-Actionable Assessment of Research Data Products"]
<p>This deposition consists of the raw data used for the evaluation chapter 6 of the dissertation "Machine-Actionable Assessment of Research Data Products" (Tobias Weber, yet unpublished).</p>
Data from: Using risk of bias domains to identify opportunities for improvement in food- and nutrition-related research: an evaluation of research type and design, year of publication, and source of funding
Purpose: This retrospective cross-sectional study aimed to identify opportunities for improvement in food and nutrition research by examining risk of bias (ROB) domains. Methods: Rating were extracted from critical appraisal records for 5675 studies used in systematic reviews conducted by three organizations. Variables were as follows: ROB domains defined by the Cochrane Collaboration (Selection, Performance, Detection, Attrition, and Reporting), publication year, research type (intervention or observation) and specific design, funder, and overall quality rating (positive, neutral, or negative). Appraisal instrument questions were mapped to ROB domains. The kappa statistic was used to determine consistency when multiple ROB ratings were available. Binary logistic regression and multinomial logistic regression were used to predict overall quality and ROB domains. Findings: Studies represented a wide variety of research topics (clinical nutrition, food safety, dietary patterns, and dietary supplements) among 15 different research designs with a balance of intervention (49%) and observation (51%) types, published between 1930 and 2015 (64% between 2000-2009). Duplicate ratings (10%) were consistent (k=0.86-0.94). Selection and Performance domain criteria were least likely to be met (57.9% to 60.1%). Selection, Detection, and Performance ROB ratings predicted neutral or negative quality compared to positive quality (p<0.001). Funder, year, and research design were significant predictors of ROB. Some sources of funding predicted increased ROB (p<0.001) for Selection (Interventional: industry only and none/not reported; Observational: other only and none/not reported) and Reporting (Observational: university only and other only). Reduced ROB was predicted by combined and other-only funding for intervention research (p<0.005). Performance ROB domain ratings started significantly improving in 2000; others improved after 1990 (p<0.001). Research designs with higher ROB were nonrandomized intervention and time series designs compared to RCT and prospective cohort designs respectively (p<0.001). Conclusions: Opportunities for improvement in food and nutrition research are in the Selection, Performance, and Detection ROB domains.
Evaluating AI-generated Research Plans - Appendix
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Dataset for "Evaluation Methods and Replicability of Software Architecture Research Objects"
<p># Content<br> In this package, please find the following content:</p> <p>* Investigated Papers.bib<br> A BibTeX file with all papers investigated in the paper "Evaluation Methods and Replicability of Software Architecture Research Objects"<br> * Raw-Data-Table Content-Data.html and Raw-Data-Table Meta-Data.html<br> Tables with the raw data as extracted during the systematic literature review<br> * Colection of Data Visualizations.pdf<br> Multiple visualizations of the raw data for analysis. A copy of summary.pdf as described below.<br> * Data and Visualization<br> Contains:<br> - The data as CSV files,<br> - scripts for creating visualizations<br> - *.awk -- Awk scripts are used to create the corresponding of the *.csv files in data<br> - *.rb -- Ruby scripts to build the respective figures in figs as *.tex files<br> - make-all.sh -- A script to call all other scripts for creating diagrams and the summary<br> - make-paper-figures.sh -- A script to build "paper-figures.pdf" with all diagrams used in the accompanying paper<br> - A documentation of the contained scripts (Data and Visualization/README.md)<br> - summary.pdf -- A collection of diagrams (as built by make-all.sh)<br> - paper-figures.pdf -- A collection of all diagrams as used in the accompanying paper (as built by make-paper-figures.sh and make-all.sh)<br> * Wiki/<br> A copy of the wiki used during data extraction.<br> Constains:<br> - descriptions of all data items<br> - the process description<br> - the taxonomy used for data extraction</p> <p><br> # Reproduction<br> You can reproduce the visualizations with the following commands in a UNIX command line environment.</p> <p>> cd "Data and Visualization"<br> > ./make-paper-figures.sh<br> > ./make-all.sh</p> <p>The requirements are:<br> * A UNIX command line environment (e.g., bash) with awk installed<br> * Ruby (>2.5)<br> * latex (e.g., tex-live)</p> <p>The command "./make-paper-figures.sh" produces the file “paper-figures.pdf”, which contains all diagrams that are used in the paper.<br> The command "./make-all.sh" produces the file "summary.pdf", which contains diagrams used for data analysis, and the file "paper-figures.pdf". All figures describing the results in the paper are also in "summary.pdf".<br> These commands each take about 2 ("/make-paper-figures.sh") / 8 ("./make-all.sh") minutes to run on current standard laptop (Intel i5-8250U, 16 GB memory).<br> Calling the commands produces many log statements (information and warnings), which show the progress and can be ignored.</p>
Supplementary materials of the paper Identifying benchmark units for research management and evaluation
<p>Supplementary materials of the paper Identifying benchmark units for research management and evaluation</p> <p>Supplementary1 Rsearch topics of Hero-m and SciLifeLab</p> <p>Supplementary2 Topics of benchmarks</p> <p>Supplementary3 Measures of connectivity</p>
Research Data and Code: Evaluating Railway Junction Infrastructure: A Queueing-Based, Timetable-Independent Analysis
<p>Research Data and Code for the publication:</p> <p>Evaluating Railway Junction Infrastructure: A<br>Queueing-Based, Timetable-Independent Analysis</p> <p>In Transportation Research Part C - Emerging Technologies</p> <p>DOI: https://doi.org/10.1016/j.trc.2024.104704</p>
Code for GMD publication - Introducing Graupel Density Prediction in Weather Research and Forecasting (WRF) Double-Moment 6-Class (WDM6) Microphysics and Evaluation of the Modified Scheme During the ICE-POP Field Campaign
<p>Code for GMD publication - <span>Introducing Graupel Density Prediction in Weather Research and Forecasting (WRF) Double-Moment 6-Class (WDM6) Microphysics and Evaluation of the Modified Scheme During the ICE-POP Field Campaign</span></p> <p>In this repository, we include the source codes for WRF microphysics parameterization used in the GMD publication "Simulated Prognostic approach of graupel density in a bulk-type cloud microphysics scheme and evaluation during the ICE-POP field campaign."</p> <p>The revised WDM6 code, which predicts the graupel density and the original WDM6 code are uploaded. </p> <p>Each code is modified so that detailed microphysical processes can be found in wrfout.</p> <p>Namelist files shows the namelist.input for each case.</p> <p>Furthermore, scripts for figures in the manuscript are included, along with wrfout files.</p>
Figure 3 in SURVEYING NEOTROPICAL SOCIAL WASPS. AN EVALUATION OF METHODS IN THE "FERREIRA PENNA" RESEARCH STATION (ECFPn), IN CAXIUANÃ, PA, BRAZIL (HYM., VESPIDAE, POLISTINAE
Figure 3. Box-whiskers plots for the numbers of individuals and species of social wasps captured in TMM traps in each of the four surveys in the ECFPn, in Caxiuanã, PA, Brazil (n= 10).
Figure 7 in SURVEYING NEOTROPICAL SOCIAL WASPS. AN EVALUATION OF METHODS IN THE "FERREIRA PENNA" RESEARCH STATION (ECFPn), IN CAXIUANÃ, PA, BRAZIL (HYM., VESPIDAE, POLISTINAE
Figure 7. Numbers of species by genus known to occur in Caxiuanã and two other localities in the Brazilian state of Pará (Belém and Serra dos Carajás). It is also presented the number of species recorded in the literature (or known to occur) in Pará "before" the survey in the ECFPn (Cooper, 1996a, 1997b; Richards, 1978; unpublished information in the Museu Goeldi and INPA collections).
Figure 1 in SURVEYING NEOTROPICAL SOCIAL WASPS. AN EVALUATION OF METHODS IN THE "FERREIRA PENNA" RESEARCH STATION (ECFPn), IN CAXIUANÃ, PA, BRAZIL (HYM., VESPIDAE, POLISTINAE
Figure 1. Map showing localization of the ECFPn, in Caxiuanã, west of Belém and Marajó Island, in Pará state.
Figure 5 in SURVEYING NEOTROPICAL SOCIAL WASPS. AN EVALUATION OF METHODS IN THE "FERREIRA PENNA" RESEARCH STATION (ECFPn), IN CAXIUANÃ, PA, BRAZIL (HYM., VESPIDAE, POLISTINAE
Figure 5. Percentage incidence and richness of polistine genera relative to total samples and species in searches made in the ECFPn, Caxiuanã, PA, Brazil.; A) 22 samples in trails; B) 23 samples by river margins.
Figure 4 in SURVEYING NEOTROPICAL SOCIAL WASPS. AN EVALUATION OF METHODS IN THE "FERREIRA PENNA" RESEARCH STATION (ECFPn), IN CAXIUANÃ, PA, BRAZIL (HYM., VESPIDAE, POLISTINAE
Figure 4. Mean percentage difference in the contributions of the two complementary 5-days trapping periods over the total number of individuals of social wasps captured along 10-days in Two-meter Malaise traps (TMM), in each of the four surveys in the ECFPn, in Caxiuanã, PA, Brazil.
Dataset of the Article Evaluating a Framework of Conceptual Modelling Research
<p>Results and replication package of the article: <span>Evaluating a Framework of Conceptual Modelling Research</span></p>
LoRa on Ice: dataset to evaluate the LoRa radio technology for sea ice research in Antarctica
<p>We present the design and implementation of a wireless sensor network (WSN) tailored for sea ice research. Our custom-built data acquisition unit employs Long Range (LoRa) radio technology and the Long Range Wide Area Network (LoRaWAN) protocol. We describe the deployment of a scientific measurement system in the vicinity of the Neumayer III research station in Antarctica, utilizing IoT technologies.<br>This dataset contains different measurements to evaluate the performance of the LoRa radio link and the LoRaWAN protocol. In this work we use a data acquisition unit sending data via LoRa using the LoRaWAN protocol. The data acquisition unit is a custom made electronics designed to sample data from connected sensors used for sea ice research in Antarctica. Three datasets are available to evaluate the performance of the LoRa radio technology and the LoRaWAN protocol: one range test on a motor boat in Germany and two range tests performed in Antarctica near the Neumayer III station. </p>
Interesting Scientific Idea Generation Using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
<p>Dataset for the Knowledge graph used in the paper "<a href="https://arxiv.org/abs/2405.17044">Interesting Scientific Idea Generation Using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders</a>" by Xueme Gu and Mario Krenn. </p> <p>Nodes represent scientific concepts extracted from 2.44 million paper titles and abstracts and edges are formed when two concepts co-occur in titles or abstracts of over 58 million papers from OpenAlex, augmented with citation information. </p>
Research Data for "Evaluating the electronic structure and stability of epitaxially grown Sr-doped LaFeO3 perovskite alkaline O2 evolution model electrocatalysts"
<p>This is the research data supporting figures and tables for the paper "Evaluating the electronic structure and stability of epitaxially grown Sr-doped LaFeO3 perovskite alkaline O2 evolution model electrocatalysts" appearing in <em>RSC Applied Interfaces </em>under DOI <a title="Link to landing page via DOI" href="https://doi.org/10.1039/D4LF00260A">https://doi.org/10.1039/D4LF00260A</a>.</p>
Evaluating the method reproducibility of deep learning models in the biodiversity research
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Evaluating an instrument of the research software related to software quality - Dimension 2 - Dataset of Focus Groups
<p>Artifacts used for data collection and analysis of the focus group sessions during the evaluation of an instrument for research software related to software quality - dimension 2.</p>
Matrix aggregation of species of Phyla Annelida (Polychaeta), Mollusca, Arthropoda (Decapoda, Stomatopoda, Amphipoda, and Chelicerata), and Echinodermata registered of the Caribbean Sea and Gulf of Mexico region by Ocean Biodiversity Information Systems of the research "Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) for capturing the biological diversity of two coral reefs in the Yucatán Península, México"
<p>This database consists of an aggregation matrix of species from Ocean Biodiversity Information Systems using as geographic filters the Caribbean Sea region (ID 34287) and the Gulf of Mexico region (ID 34287) nomenclature and hierarchical classification of each Phyla from World Register of Marine Species used for the calculation of average taxonomic distinction of species belonging to the Phyla Annelida (Polychaeta), Mollusca, Arthropoda (Decapoda, Stomatopoda, Amphipoda, and Chelicerata), and Echinodermata associated to Autonomous Reefs Monitoring Structures from the research “Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) to estimate cryptic diversity in two coral reefs of the Yucatan Península, México”</p> <p><strong>*Corresponding autor: </strong>edlinguerra@gmail.com</p> <p>BIS Ocean Biodiversity Information System. Available online: <a href="http://www.iobis.org/">www.iobis.org</a>.</p> <p>Horton, T.; Gofas, S.; Kroh, A.; Poore, G.C.B.; Read, G.; Rosenberg, G.; Stöhr, S.; Bailly, N.; Boury-Esnault, N.; Brandão, S.N.; et al. Improving nomenclatural consistency: A decade of experience in the World Register of Marine Species. <em>Eur. J. Taxon.</em> <strong>2017</strong>, <em>2017</em>, doi:10.5852/ejt.2017.389.</p> <p><span lang="EN-US">was produced in collaboration with the Biodiversidad Marina de Yucatán project. </span><a href="https://www.bdmy.org.mx/carteles-publicaciones/" target="_blank" rel="noopener">https://www.bdmy.org.mx/,</a> Universidad Nacional Autonoma de México and Escuela Nacional de Estudios Superiores</p>
Database of Incidence per reef and región of the research "Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) for capturing the biological diversity of two coral reefs in the Yucatán Península, México"
<p><strong>*Corresponding autor: </strong>edlinguerra@gmail.com</p> <p>This database contains information of specimens of the cryptofauna assemblages identified by experts of each Phyla per reef and región and is a complementary material of the research “Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) to estimate cryptic diversity in two coral reefs of the Yucatan Península, México”. For the present research, animals of the appropriate species and quality were selected and the minimum number required to obtain scientifically valid results were considered, all animals were anesthetized and deposited in National Collections: Colección Regional de Crustáceos de la Península de Yucatán (SEMARNAT number: YUC-CC-255-11), Colección Regional de Moluscos de la Península de Yucatán (SEMARNAT number: YUC. -INV-240-01-11), Colección Regional de Equinodermos de la Península de Yucatán (SEMARNAT number: DGVS-CC-307-18), Colección Regional de Ascidias de la Península de Yucatán (SEMARNAT number: DGVS-CC-306-18), Colección Regional de Briozoos de la Península de Yucatán (SEMARNAT number: DGVS-CC-308-18), Colección Regional de Cnidarios de la Península de Yucatán (SEMARMAT number: YUC-CC-254-11), Colección Regional de Policládidos de la Península de Yucatán (105 Collection CONABIO) and Colección Nacional del Phyla Porifera “Gerardo Green” of Universidad Nacional Autónoma de México, Facultad de Ciencias, Sisal, Mexico (UMDI-Sisal) and within accordance with scientific collection permits: PPF/DGOPA: 295/17, 300/17, 294/17, 293/17, PPF/DGOPA-076/19 issued by Mexico’s State Secretaria de Agricultura, Ganaderia, Desarrollo Rural, Pesca y Alimentación (SAGARPA).</p> <p><strong>CC-BY-NC-N</strong></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.