Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
95
datasets available to search
ShareScore release 0.9.0
Dataset results
95 results for “research methods”
Sustainable Methods, Algorithms, and Research Tools for Delivering Optimal Care Study
ClinicalTrials.gov study NCT02037438. IPD Sharing: YES. Countries: 1. Publications: 1.
Research methods and Comparative examination of pinniped craniofacial musculature and its role in aquatic feeding
Open the record for dataset details and reuse information.
Data from: Novel methods to define invasive procedures at the end-of-life were developed to improve quality of end of life care research: A population-based cohort study in colorectal cancer
Open the record for dataset details and reuse information.
Fig. 3 in Sexual Dimorphism in North American Coccinellids: Sexing Methods for Species of Coccinella L. (Coleoptera: Coccinellidae) and Implications for Conservation Research
Fig. 3. Male Coccinella novemnotata showing the white spot on the anterior face of the anterior coxa (left arrow) and white stripe on the ventral face of the anterior femur. Females always lack and males of this species always have these characters, which are visible with the unaided eye. See Table 3 for occurrence of this character in other North American Coccinella species. Photograph by Todd A. Ugine.
Fig. 1 in Sexual Dimorphism in North American Coccinellids: Sexing Methods for Species of Coccinella L. (Coleoptera: Coccinellidae) and Implications for Conservation Research
Fig. 1. Ventral view of a female (top) and male (bottom) Coccinella novemnotata showing the dimorphic seventh abdominal sternite (S7, outlined) and the location of the five measurements taken from all specimens. Note the emargination at the midline in the male. This constriction was estimated using hm-prop (hm divided by the average of hl and hr). Photogtaphs by L. Stellwag.
Fig. 2 in Sexual Dimorphism in North American Coccinellids: Sexing Methods for Species of Coccinella L. (Coleoptera: Coccinellidae) and Implications for Conservation Research
Fig. 2. Pronotal pigment pattern on a female (top) and male (bottom) of Coccinella novemnotata. Two measurements were taken: the width at the widest anterior points (p-width) and the depth from the pigment edge at the midline to a line drawn to connect the two endpoints from the width measurement (p-depth). To control for size differences between males and females, p-depth was divided by p-width and this proportion was used for analysis (p-prop). Photographs by L. Stellwag.
Research on UAV Autonomous Recognition and Approach Method for Linear Target Splicing Sleeves Based on Deep Learning and Stereo Vision
<p><span>Link to the video as supplementary material for the paper-《Research on UAV Autonomous Recognition and Approach Method for Linear Target Splicing Sleeves Based on Deep Learning and Stereo Vision》.</span></p>
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>
Research Artifacts - An Anomaly-based Approach for Detecting Modularity Violations on Method Placement
<p>This record contains research artifacts of our paper.</p> <p>The description of each file is as follows.</p> <ul> <li>case_study.xlsx: a spreadsheet that contains a list of our detected cases and results of our manual inspection</li> <li>java-large+.tar.gz: a preprocessed dataset used for training our detection model</li> <li>model_parameters.ckpt.gz: trained parameters and a word dictionary of our neural network model</li> <li>src.tar.gz: source code of our neural network model written in Python and a dataset preprocessor written in Java</li> </ul>
Code for Atmospheric Research publication - Height correction method based on the Monin–Obukhov similarity theory for better prediction of near-surface wind fields
<p>In this repository, we include the source codes for WRF namelist, figures, and height correction used in the Atmospheric Research publication "Height correction method based on the Monin–Obukhov similarity theory for better prediction of near-surface wind fields"</p> <p>The namelist.wps and namelist.input in WRF namelist are using for making input and running simulation, and Fig scripts in Figure scripts are using for plotting the figures in the paper.</p> <p>hgt_corr in Height correction method is a code to correct the disparity of the 10-m height definition between the model and observation by applying the developed the height correction algorithm based on the Monin-Obukhov similarity theory.</p>
Cryptologue Arcade - Crypto Darkpaper - Crypto Color Prints - Simplementation Scheme : A Color-Coded Method For Indexing Research and Documentation
<p>Crypto Color Prints are a memorable and data-dense documentation paradigm with a color-coded, structural scheme. The scheme forms a simple framework for publishing and improving primitives and protocols with a focus on both cooperation and implementation.</p>
DataCrate: a method of packaging, distributing, displaying and archiving Research Objects
<p>In characterizing the term <i>Research Object</i> the call for proposals for Research Object 2018 uses the phrase "multi-part research outcomes with their context". The <a href="https://github.com/UTS-eResearch/DataCrate/">DataCrate specification</a><a href="https://data.research.uts.edu.au/examples/v1.0/datacrate-RO-2018/data/paper.html#fn1">1</a> is a research data packaging and dissemination specification designed to capture exactly that; outcomes (also inputs) and context.</p><p>DataCrate specifies how to gather together data in such a way that it can (a) be packaged via zip, tar, a disc image, a multi-part package or (b) be hosted on a web server or file share for inspection by potential users and/or used directly on High Performance Computing systems or otherwise accessed and analyzed.</p><p>DataCrates can contain any kind of data, and the contextual information may include, but is not limited to, data about the people, software and equipment used in the research as well as supporting documents such as publications, funding agreements or README files.</p><p> </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.
Data related to manuscript: Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSAal) in ambient measurements with varying conditions (accepted for publication in Aerosol Research)
<p>These files include data which was utilised to calculate the results in the manuscript (https://doi.org/10.5194/ar-2024-13). </p>
Dataset to several methods for assessment of research waste: a scoping review
Open the record for dataset details and reuse information.
Database of research methods in the educational field. Bibliometric analysis: comparative study between Scopus and WoS
<p>Data package on research methods in the educational field in the Web of Science and Scopus databases between 2000 and 2023</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.