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.
505
datasets available to search
ShareScore release 0.9.0
Dataset results
505 results for “Confusion”
Figure 8 in On the confusion surrounding Pareledone charcoti (Joubin, 1905) (Cephalopoda: Octopodidae): endemic radiation in the Southern Ocean
Figure 8. Pareledone subtilis sp. nov. A, whole animal, NMSZ 2002037.026, submature ♀, [31] mm ML. B, hectocotylus, NMSZ 2003152.004, mature ♂, 34 mm ML, scale bar = 5 mm. C, diagrammatic representation of extent of papillae and chromatophores: leu, leucophores.
Figure 4 in On the confusion surrounding Pareledone charcoti (Joubin, 1905) (Cephalopoda: Octopodidae): endemic radiation in the Southern Ocean
Figure 4. Pareledone aurata sp. nov. A, whole animal, NMSZ 2003152.001, mature ♂, 41 mm ML. B, hectocotylus, NMSZ 2003152.001, mature ♂, 41 mm ML, scale bar = 5 mm. C, diagrammatic representation of extent of papillae and chromatophores: leu, leucophores; sop, supraocular papilla.
Figure 3 in On the confusion surrounding Pareledone charcoti (Joubin, 1905) (Cephalopoda: Octopodidae): endemic radiation in the Southern Ocean
Figure 3. Pareledone albimaculata sp. nov. A, whole animal, NMSZ 2002037.011, submature ♀, 29 mm ML. B, hectocotylus, NMSZ 2002037.010, mature ♂, 36 mm ML, scale bar = 5 mm. C, diagrammatic representation of extent of papillae and chromatophores: sop, supraocular papilla.
Figure 2 in On the confusion surrounding Pareledone charcoti (Joubin, 1905) (Cephalopoda: Octopodidae): endemic radiation in the Southern Ocean
Figure 2. Pareledone aequipapillae sp. nov. A, whole animal, NMSZ 2002037.004, submature ♀, [34] mm ML. B, hectocotylus, NMSZ 2003152.002, mature ♂, 52 mm ML, scale bar = 5 mm. C, diagrammatic representation of extent of papillae and chromatophores: ep, enlarged papillae; leu, leucophores; sop, supraocular papilla.
Figure 1. Pareledone charcoti Joubin, 1905. A in On the confusion surrounding Pareledone charcoti (Joubin, 1905) (Cephalopoda: Octopodidae): endemic radiation in the Southern Ocean
Figure 1. Pareledone charcoti Joubin, 1905. A, whole animal, NMSZ 2002037.044, mature ♂, 37 mm ML. B, hectocotylus, NMSZ 2002037.044, mature ♂, 37 mm ML. C, diagrammatic representation of extent of papillae and chromatophores. Abbreviations: leu, leucophores; sop, supraocular papillae. D, digestive system, NMSZ 2002037.044, submature ♀, 33 mm ML. E, beaks, NMSZ 2002037.044, submature ♀, 33 mm ML. F, male reproductive system, NMSZ 2002037.044, mature ♂, 36 mm ML. G, spermatophores, NMSZ 2002037.044, mature ♂, 36 mm ML. H, female reproductive system, NMSZ 2002037.044, mature ♀, 43 mm ML. I, transverse section of egg showing follicular folds. Scale bars = 5 mm.
Figure 11. Live animals. A in On the confusion surrounding Pareledone charcoti (Joubin, 1905) (Cephalopoda: Octopodidae): endemic radiation in the Southern Ocean
Figure 11. Live animals. A, Pareledone charcoti Joubin, 1905, NMSZ 2002037.044. B, P. aequipapillae sp. nov., NMSZ 2002037.004. C, P. albimaculata sp. nov., NMSZ 2002037.011. D, P. aurata sp. nov., NMSZ 2002037.003. E, P. cornuta sp. nov., NMSZ 2002037.018. F, P. panchroma sp. nov., NMSZ 2000081.051. G, P. serperastrata sp. nov., NMSZ 2002037.022. H, P. subtilis sp. nov., NMSZ 2002037.027.
Figures Į–Į0. Marimatha adults. Į M. nigrofimbria ♂, 1.4 mi WSW Anthony, Marion Co., Florida 2 M. nigrofimbria ♀, Big Cypress Natute Preserve, Collier Co., Florida 3 M. squala ♂, Madera Canyon 4880', Santa Rita Mts., Santa Cruz Co., Arizona 4 M. squala ♀, Madera Canyon 4880', Santa Rita Mts., Santa Cruz Co., Arizona 5 M. quadrata ♂, Madera Canyon 3800', Santa Rita Mts., Pima Co., Arizona 6 M. quadrata ♀, Concan, Uvalde Co., Texas 7 M. tripuncta ♂, Fuchs Hammock near Homestead, Dade Co., Florida 8 M. tripuncta ♀, Fuchs Hammock near Homestead, Dade Co., Florida 9 M. piscimala ♂, Brown Canyon, Baboquivari Mts., Pima Co., Arizona Į0 M. piscimala ♀, Mission, Hidalgo Co., Texas. in Review of the North American species of Marimatha Walker with descriptions of three new species (Lepidoptera, Noctuidae, Eustrotiinae) and the description of Pseudomarimatha flava (Noctuinae, Elaphriini), a new genus and species confused with Marimatha
Figures Į–Į0. Marimatha adults. Į M. nigrofimbria ♂, 1.4 mi WSW Anthony, Marion Co., Florida 2 M. nigrofimbria ♀, Big Cypress Natute Preserve, Collier Co., Florida 3 M. squala ♂, Madera Canyon 4880', Santa Rita Mts., Santa Cruz Co., Arizona 4 M. squala ♀, Madera Canyon 4880', Santa Rita Mts., Santa Cruz Co., Arizona 5 M. quadrata ♂, Madera Canyon 3800', Santa Rita Mts., Pima Co., Arizona 6 M. quadrata ♀, Concan, Uvalde Co., Texas 7 M. tripuncta ♂, Fuchs Hammock near Homestead, Dade Co., Florida 8 M. tripuncta ♀, Fuchs Hammock near Homestead, Dade Co., Florida 9 M. piscimala ♂, Brown Canyon, Baboquivari Mts., Pima Co., Arizona Į0 M. piscimala ♀, Mission, Hidalgo Co., Texas.
Figures 23–26. Pseudomarimatha flava adults and genitalia. 23 in Review of the North American species of Marimatha Walker with descriptions of three new species (Lepidoptera, Noctuidae, Eustrotiinae) and the description of Pseudomarimatha flava (Noctuinae, Elaphriini), a new genus and species confused with Marimatha
Figures 23–26. Pseudomarimatha flava adults and genitalia. 23 ♂, Portal, Cochise Co, Arizona 24 ♀, Onion Saddle, Chiricahua Mts, Cochise Co., Arizona 25 male genitalia 26 female genitalia.
Evaluation of a simple score-based Natural Language Processing (NLP) algorithm: Category Confusion Matrix
<p>Resulting category confusion matrix for the experiment "Evaluation of a simple score-based Natural Language Processing (NLP) algorithm".</p>
Supplemental Data for: Lineage diversification and rampant hybridization among subspecies explain taxonomic confusion in the endemic Hawaiian fern Polypodium pellucidum
<p><strong><span>Premise:</span></strong><span> <em>Polypodium pellucidum</em>, a fern endemic to the Hawaiian Islands, encompasses a broad spectrum of morphological and ecological variation, suggesting a complex history involving divergence and hybridization. In contrast to angiosperm systems, spore dispersal in ferns presents a unique opportunity to study how highly dispersible organisms diversify in the dynamic landscape of the archipelago.</span></p> <p><strong><span>Key Results: </span></strong><span>We infer <em>P. pellucidum</em> is monophyletic, dispersing to the Hawaiian archipelago 11.53 to 7.77 Mya, with diversification into extant clades 5.66 to 4.73 Mya. We identify four non-hybrid clades with unique morphologies, ecological niches, and distributions. Additionally, we elucidate several intraspecific hybrid combinations and evidence for undiscovered or extinct 'ghost' lineages contributing to extant hybrids populations. </span></p> <p><strong><span>Conclusions:</span></strong><span> We provide a roadmap for revising the taxonomy of <em>P. pellucidum</em> to account for cryptic lineages and intraspecific hybrids. Geologic succession of the Hawaiian Islands through cycles of volcanism, vegetative succession, and erosion has determined the available habitats and distribution of ecologically specific divergent clades within <em>P. pellucidum, </em>with intraspecific hybrids arising as a result of ecological and or geological transitions, often persisting after the local extinction of their progenitors. This research contributes to our understanding of the evolution of Hawaii's diverse fern flora and allows for better conservation efforts that are often complicated by the presence of cryptic taxa and hybridization.</span></p>
The codes and datasets for the paper titled "Don't Confuse! Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired Users"
<h3>Project Title:</h3> <p>Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired Users</p> <h3>Description:</h3> <p>This project enhances GUI navigation accessibility for visually impaired users by analyzing GUI structures, identifying issues, and optimizing navigation flow.</p> <h3>Contents:</h3> <ol> <li><strong>Risk Warnings</strong></li> <li><strong>Variable Explanations</strong></li> <li><strong>Function Descriptions</strong></li> <li><strong>Usage Instructions</strong></li> <li><strong>Contact Information</strong></li> </ol> <h3>1. Risk Warnings:</h3> <ul> <li>Navigation analysis focuses on visible nodes only.</li> <li>Code maintenance issue in loop C.</li> <li>Prior reading of the "Info" button warning is essential.</li> <li>Potential information loss in the reordering algorithm.</li> </ul> <h3>2. Variable Explanations:</h3> <ul> <li>Constants: parameter1, parameter2, outputSign.</li> <li>Global Variables: nodeString, nodeList, intToRect, intToDir, intToInfo, infoToInt, intToSubRect, intToSubKind.</li> <li>Local Variables: sortedSon, sign, acceptable.</li> </ul> <h3>3. Function Descriptions:</h3> <ul> <li><strong>isNodeVisibleOnScreen</strong>: Checks if a node is visible on the screen.</li> <li><strong>Gestalt</strong>: Conducts a depth-first search traversal of all nodes and records the Gestalt_inspired order.</li> <li><strong>checkNodeNecessity</strong>: Further checks if a node is necessary for navigation.</li> <li><strong>DFS</strong>: Used for the reordering algorithm.</li> </ul> <h3>4. Usage Instructions:</h3> <ul> <li>Ensure thorough understanding of risk warnings.</li> <li>Modify and maintain the code as necessary.</li> <li>Read the warning prompt before using the "Info" button.</li> <li>Exercise caution with potential information loss in reordering.</li> </ul> <h3>5. Contact Information:</h3> <ul> <li>Developer: Mengxi Zhang</li> <li>Email: <a target="_new">zmxalakay@126.com</a></li> </ul> <p><strong>Note</strong>: This README provides a brief overview. Refer to the User_Guidelines documentation for detailed information.</p>
Human Confusion Dataset
<p>We introduce the Human Confusion Dataset, a diverse dataset to study dual thinking and strategies in human vision. The dataset can also help study the behavioral properties of instance segmentation models using method to evaluate the models present in the GitHub location https://github.com/kailasdayanandan/dual_thinking/tree/main</p> <p> </p>
Fig. 8 in Understanding the color variability and resolving taxonomic confusion in the sea cucumber Isostichopus badionotus (Echinodermata, Holothuroidea): a revision of the genus Isostichopus
Fig. 8 (continued).
Catalogues of LISA-detectable sBHB inspirals and confusion backgrounds following the GWTC-3 fiducial model posterior
<h2>Data set</h2> <p>The contents of <code>SNR_min_2_z1_LISA_SNR.tar.gz</code> consist of approximately 10k folders, each corresponding to each of the samples of the public GWTC-3 fiducial sBHB population model posterior, and containing the following files:</p> <ul> <li><code>population.yaml</code>: population parameters of this sample.</li> <li><code>background.txt</code>: frequencies and characteristic strain squared of the sBHB confusion noise in the LISA band for this population.</li> <li><code>population_detector_frame_SNR.h5</code>: subset of loud sBHB sources, including but not limited to those with LISA SNR larger than 4 (missing in some samples). </li> </ul> <p>For a description of the population parameters in <code>population.yaml</code> and the individual source parameters in <code>population_detector_frame_SNR.h5</code>, see the contents of the <code>Demo.ipynb</code> notebook.</p> <p>To be able to run the notebooks described below, uncompress the <code>SNR_min_2_z1_LISA_SNR.tar.gz</code> file inside a <code>data/</code> subfolder under that of the notebook.</p> <h2>Demo notebook</h2> <p>For examples of how to load and process the catalogues, see the <code>Demo.ipynb</code> notebook.</p> <p>This notebook requires the following Python packages:</p> <p> <code>numpy, scipy, pandas, matplotlib, pyyaml, tqdm</code><br> <br>Some of the plots in the notebook require the <a href="https://github.com/JesusTorrado/extrapops" target="_blank" rel="noopener">extrapops</a> simulation package:</p> <p> <code>$ git clone git@github.com:JesusTorrado/extrapops.git</code><br> <code>$ cd extrapops</code><br> <code>$ pip install .</code></p> <h2>References</h2> <p>For detailed descriptions of the generation of the data set, see the references mentioned in the Zenodo page.</p> <h2>Questions and comments</h2> <p>Please use the <a href="https://github.com/JesusTorrado/LISA_sBHB_catalogues/issues">GitHub issue tracker</a> or contact the corresponding authors of the papers cited under the "described by" header of the Zenodo entry.</p>
Figure 13 in On the confusion surrounding Pareledone charcoti (Joubin, 1905) (Cephalopoda: Octopodidae): endemic radiation in the Southern Ocean
Figure 13. Locations of RV Polarstern stations detailed under material examined.
Figures ĮĮ–Į3. Marimatha male genitalia. ĮĮ M. nigrofimbria Į2 M. squala Į3 M. quadrata. in Review of the North American species of Marimatha Walker with descriptions of three new species (Lepidoptera, Noctuidae, Eustrotiinae) and the description of Pseudomarimatha flava (Noctuinae, Elaphriini), a new genus and species confused with Marimatha
Figures ĮĮ–Į3. Marimatha male genitalia. ĮĮ M. nigrofimbria Į2 M. squala Į3 M. quadrata.
Supplementary Materials for "An Automated Detection of Confusing Variable Pairs with Highly Similar Compound Names in Java and Python Programs"
<p>This is a dataset contains the data collected through the empirical study in our paper "An Automated Detection of Confusing Variable Pairs with Highly Similar Compound Names in Java and Python Programs."</p>
Study of Melatonin on Sleep, Pain, and Confusion After Joint Replacement Surgery
ClinicalTrials.gov study NCT01505465. IPD Sharing: Not stated. Countries: 1. Publications: 16.
Data from: Megalaria allenae (Ramalinaceae), a new sorediate species from southeastern North America previously confused with M. pulverea
Open the record for dataset details and reuse information.
Supplemental data for: Lineage diversification and rampant hybridization among subspecies explain taxonomic confusion in the endemic Hawaiian fern Polypodium pellucidum
Open the record for dataset details and reuse information.
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.