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.
1,399
datasets available to search
ShareScore release 0.9.0
Dataset results
1,399 results for “manual”
Data_Effects of input modality on vocal effector prioritization in manual-vocal dual tasks
<p>Dual-task costs in RTs and error rates compared between effector systems in vocal-manual dual-tasks using either only auditory or only visual stimuli for both responses</p>
Mangrove-Non-Mangrove Manual Labels of Drone Imagery in Baja California Sur
<p>This database consists of shapefiles of mangrove-nonmangrove labels of 14 sites of mangroves from Puerto San Carlos and La Paz, Baja California Sur, from 2018 and 2019.</p> <p>Shapefiles of MNM_Labels_BCS</p> <ul> <li>OID: Corresponds to the unique identifier of each object</li> <li>Site: Corresponds to the name of the site imaged</li> <li>Class: Corresponds to mangrove or non-mangrove habitat (string)</li> <li>Label: Corresponds to mangrove or non-mangrove habitat (numerical)</li> </ul> <p>These sites were imaged using a Phantom 4 Pro at 120 meters altitude, resulting in a 3 cm per pixel resolution. Details of this flight capture can be found at <a href="https://escholarship.org/uc/item/2zv0z6zm">https://escholarship.org/uc/item/2zv0z6zm</a>. Mangrove and nonmangrove labels were labeled using QGIS. The imagery collection and labeling process was led by Astrid Hsu, Eric Lo, Beni Guerrero, and John Dorian.</p>
Data from: Repertoire-wide gene structure analyses: a case study comparing automatically predicted and manually annotated gene models
The location and modular structure of eukaryotic protein-coding genes in genomic sequences can be automatically predicted by gene annotation algorithms. These predictions are often used for comparative studies on gene structure, gene repertoires, and genome evolution. However, automatic annotation algorithms do not yet correctly identify all genes within a genome, and manual annotation is often necessary to obtain accurate gene models and gene sets. As manual annotation is time-consuming, only a fraction of the gene models in a genome is typically manually annotated, and this fraction often differs between species. To assess the impact of manual annotation efforts on genome-wide analyses of gene structural properties, we compared the structural properties of protein-coding genes in seven diverse insect species sequenced by the i5k initiative. Our results show that the subset of genes chosen for manual annotation by a research community (3.5-7% of gene models) may have structural properties (e.g., lengths and exon counts) that are not necessarily representative for a species' gene set as a whole. Nonetheless, the structural properties of automatically generated gene models are only altered marginally (if at all) through manual annotation. Major correlative trends, for example a negative correlation between genome size and exonic proportion, can be inferred from either the automatically predicted or manually annotated gene models alike. Vice versa, some previously reported trends did not appear in either the automatic or manually annotated gene sets, pointing towards insect-specific gene structural peculiarities. In our analysis of gene structural properties, automatically predicted gene models proved to be sufficiently reliable to recover the same gene-repertoire-wide correlative trends that we found when focusing on manually annotated gene models only. We acknowledge that analyses on the individual gene level clearly benefit from manual curation. However, as genome sequencing and annotation projects often differ in the extent of their manual annotation and curation efforts, our results indicate that comparative studies analyzing gene structural properties in these genomes can nonetheless be justifiable and informative.
Manually written or Generated tests? a study with developers and maintenance tasks
<p>Software testing is an important part of software development. In addition to finding faults in the code, good tests should help developers to correct faults and be easily updated in case of modifications due to code changes. Automatically generated tests can save time and may lead to higher code coverage. However, these tests may be less readable and not based on realistic scenarios.<br> Few pieces of research have been done to evaluate whether automatically generated tests are maintainable and support developers when maintaining code. To further investigate this issue, we perform an empirical study with 20 real developers to compare how they perform maintenance tasks with automatically generated (Evosuite or Randoop) and manually-written test cases. Our results indicate that automatically generated tests can be a great help for identifying faults during maintenance. Also, we found that all strategies were similar at helping to produce correct bug fixes and with similar efficiency. Therefore, we can say that developers may integrate generated test suites into the project at any stage.</p>
Improving Traceability Recovery Between Bug Reports and Manual Test Cases
<p>Vídeo backup da apresentação SBES 2020.</p> <p>Artigo: Improving Traceability Recovery Between Bug Report and Manual Test Cases.</p>
A Large Scale Study On the Effectiveness of Manual and Automatic Unit Test Generation
<p>Recently, an increasingly large amount of effort has been devoted to implementing tools to generate unit test suites automatically. Previous studies have investigated the effectiveness of these tools by comparing automatically generated test suites (ATSs) to manually written test suites (MTSs). Most of these studies report that ATSs can achieve higher code coverage, or even mutation coverage, than MTSs, particularly when suites are generated from defective code. However, these studies usually consider a limited amount of classes or subject programs, while the adoption of such tools in the industry is still low. This work aims to compare the effectiveness of ATSs and MTSs when applied as regression test suites. We conduct an empirical study, using ten programs (1368 classes), written in Java, that already have MTSs and apply two sophisticated tools that automatically generate test cases: Randoop and EvoSuite. To evaluate the test suites’ effectiveness, we use line and mutation coverage. Our results indicate that MTSs are, in general, more effective than ATSs regarding the investigated metrics. Moreover, the number of generated test cases may not indicate test suites’ effectiveness. Furthermore, there are situations when ATSs are more effective, and even when ATSs and MTSs can be complementary.</p>
Supplemental videos for "Composition and decomposition of visuomotor maps during manual tracking", by Bernier et al.,
<p>The videos depict representative trials of naïve participants being exposed to each mapping.</p>
manual general clone validation results
<p>Manual general clone validation results.</p> <p>These clones are detected from BigCloneBench.</p>
manual large-variance clone validation results
<p>Manual large-variance clone validation results</p>
Data from: Reliability of single-use PEEP-valves attached to self-inflating bags during manual ventilation of neonates – an in vitro study
Introduction International resuscitation guidelines suggest to use positive end-expiratory pressure (PEEP) during manual ventilation of neonates. Aim of our study was to test the reliability of self-inflating bags (SIB) with single-use PEEP valves regarding PEEP delivery and the effect of different peak inflation pressures (PIP) and ventilation rates (VR) on the delivered PEEP. Methods Ten new single-use PEEP valves from 5 manufacturers were tested by ventilating an intubated 1kg neonatal manikin containing a lung model with a SIB that was actuated by an electromechanical plunger device. Standard settings: PIP 20cmH2O, VR 60/min, flow 8L/min. PEEP settings of 5 and 10cmH2O were studied. A second test was conducted with settings of PIP 40cmH2O and VR 40/min. The delivered PEEP was measured by a respiratory function monitor (CO2SMO+). Results Valves from one manufacturer delivered no relevant PEEP and were excluded. The remaining valves showed a continuous decay of the delivered pressure during expiration. The median (25th and 75th percentile) delivered PEEP with standard settings was 3.4(2.7–3.8)cmH2O when set to 5cmH2O and 6.1(4.9–7.1)cmH2O when set to 10cmH2O. Increasing the PIP from 20 to 40 cmH2O led to a median (25th and 75th percentile) decrease in PEEP to 2.3(1.8–2.7)cmH2O and 4.3(3.2–4.8)cmH2O; changing VR from 60 to 40/min led to a PEEP decrease to 2.8(2.1–3.3)cmH2O and 5.0(3.5–6.2)cmH2O for both PEEP settings. Conclusion Single-use PEEP valves do not reliably deliver the set PEEP. PIP and VR have an effect on the delivered PEEP. Operators should be aware of these limitations when manually ventilating neonates.
IGV screenshot for manual validation of 60 reported false positive small CNVs in SurVIndel2
Open the record for dataset details and reuse information.
Manual Droplet Test, PEG Microgels
Open the record for dataset details and reuse information.
Manual shear test, Guest-Host MAP
Open the record for dataset details and reuse information.
Manual shear test, PEG Microgels
Open the record for dataset details and reuse information.
Manual droplet test, Guest-Host MAP
Open the record for dataset details and reuse information.
MANUAL LABOR IS TRENDING: WHY PEOPLE ARE TURNING TO CRAFT PROFESSIONS IN UZBEKISTAN
Open the record for dataset details and reuse information.
Figure 8 from: Brannoch SK, Wieland F, Rivera J, Klass K-D, Béthoux O, Svenson GJ (2017) Manual of praying mantis morphology, nomenclature, and practices (Insecta, Mantodea). ZooKeys 696: 1-100. https://doi.org/10.3897/zookeys.696.12542
Figure 8 - Annotated illustrations of thoracic structures. Pronotum in dorsal view A Sphodromantis sp. ♂ (illustration by Josh Maxwell) B Theopompella congica Rehn, 1949 ♀ C Idolomantis diabolica (Saussure, 1869) ♀ D Deroplatys indica Roy, 2007 ♂ E Amorphoscelis pulchella ♀. Prothorax in ventral view F Mantoida maya ♂ G Humbertiella Saussure, 1869 ♀ H Phyllocrania paradoxa ♂. Figures F–H reproduced and adapted from Wieland (2013). Structures not to scale. Abbreviations: cx = coxa; fs = furcasternite; ics = intercervical sclerite; lcs = lateral cervical sclerite; lpe = lateral pronotal expansion; mz = metazone; pcpl = postcervical plate; pn = pronotum; pz = prozone; tap = transverse anterior part of T-shaped sclerite; tics = torus intercervicalis; tss = T-shaped sclerite; vcs = ventral cervical sclerite.
Figure 7 from: Brannoch SK, Wieland F, Rivera J, Klass K-D, Béthoux O, Svenson GJ (2017) Manual of praying mantis morphology, nomenclature, and practices (Insecta, Mantodea). ZooKeys 696: 1-100. https://doi.org/10.3897/zookeys.696.12542
Figure 7 - Figure 7. Foreleg spination variation across Mantodea presented in anteroventral view. A Chaeteessa sp. ♂ B Metallyticus splendidus ♀ C Paramorphoscelis gondokorensis ♀ D Amorphoscelis pulchella Giglio-Tos, 1914 ♀ E Thesprotia sp. ♂ F Compsothespis sp. ♀ G Paraoxypilus sp. ♀. Dashed outlines indicate relative position of broken foreleg structures (i.e., spine E and tarsus F). Forelegs not to scale.
Figure 6 from: Brannoch SK, Wieland F, Rivera J, Klass K-D, Béthoux O, Svenson GJ (2017) Manual of praying mantis morphology, nomenclature, and practices (Insecta, Mantodea). ZooKeys 696: 1-100. https://doi.org/10.3897/zookeys.696.12542
Figure 6 - Annotated illustrations of leg structures. Generalized mantodean foreleg A dorsal view; B ventral view; C interior view. Generalized tarsus D ventral view. Examples of convergent coxal lobes: E Sphodromantis sp. ♂; F Paramorphoscelis gondokorensis Werner, 1907 ♀. Example of parallel coxal lobes G Acromantis insularis Giglio-Tos, 1915 ♀. Example of divergent coxal lobes H Gongylus gongylodes Linné, 1758 ♂. Generalized metathoracic leg I ventral view. Examples of carinae that can be present on the meso- and metathoracic femora and tibiae J Stagmatoptera Burmeister, 1838 ♀: ventral view 1 = anterodorsal metafemoral carina; 2 = anteroventral metafemoral carina; 3 = posteroventral metafemoral carina. Example of the cuticular lobes that can project from leg carinae K Alangularis multilobata (Chopard, 1910) ♀: ventral view 1 = anterodorsal metafemoral lobe; 2 = anteroventral metafemoral lobe; 3 = posteroventral metafemoral lobe. Dashed lines demarcate anteroventral carinae (J) and associated lobes (K). Abbreviations: avfs = anteroventral femoral spines; avts = anteroventral tibial spines; cx = coxa; cxl = coxal lobes; ds = discoidal spines; epl = euplantulae; fb = femoral brush; fe = femur; gl = genicular lobe; gs = genicular spur; mepl = medial euplantula; pb = proximal bend in the tibia; pvfs = posteroventral femoral spines; pvts = posteroventral tibial spines; ta5 = tarsomere 5; ti = tibia; tr = trochanter; ts = tibial spur; tsg = tibial spur groove; un = unguis.
Figure 9 from: Brannoch SK, Wieland F, Rivera J, Klass K-D, Béthoux O, Svenson GJ (2017) Manual of praying mantis morphology, nomenclature, and practices (Insecta, Mantodea). ZooKeys 696: 1-100. https://doi.org/10.3897/zookeys.696.12542
Figure 9 - Annotated illustrations of hearing organ forms. Figures reproduced and adapted from Yager and Svenson (2008). A Parasphendale agrionina Gerstaecker, 1869 ♂ DK form hearing organ B Mantoida sp. ♀ MSMT form hearing organ C Parasphendale agrionina ♀ DNK form hearing organ D Angela Serville, 1839 ♂ MSMT form hearing organ E Tarachodes afzelii (Stål, 1871) ♀ DO form hearing organ F Hymenopus coronatus ♀ MESO form hearing organ. Asterisks indicate the ventral rod (B–F), which is not visible in the DK form (see Yager and Svenson 2008). Orange arrows indicate the knob, present on DK and DNK forms, barely visible in DO forms, and not present in MSMT forms. Blue arrows indicate opening to the auditory chamber. Abbreviation: kn = knob.
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.