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.
47,155
datasets available to search
ShareScore release 0.9.0
Dataset results
47,155 results for “evaluations”
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness
<p>Change the absolute path of the files in 'experiment/config' of the github repository to refer to the two downloaded files below.</p> <p>1. ASE2022withTextUnique.zip: the original dataset with patches text and commit messages text.</p> <p>2. ASE_features2_bert.pickle: the feature from Tian et al.'s ASE2020 paper.</p>
Recordings from: Evaluation of a coastal acoustic buoy for cetacean detections, bearing accuracy, and exclusion zone monitoring
<p>1.<span> </span>There is strong socio-political support for offshore wind development in US territorial waters, and construction is planned off several east coast states. Some of the planned development sites coincide with important habitat for critically endangered North Atlantic right whales. Both exclusion zones and passive acoustic monitoring are important tools for managing interactions between marine mammals and human activities. Understanding where animals are with respect to exclusion zones is important to avoid costly construction delays while minimizing the potential for negative impacts. Impact piling from construction of hundreds of offshore wind turbines likely requires exclusion zones as large as 10 km.</p> <p>2.<span> </span>We have developed a three-hydrophone passive acoustic monitoring system that provides bearing information along with marine mammal detections to allow for informed management decisions in real-time. Multiple units form a monitoring system designed to determine whether marine mammal calls originate from inside or outside of an exclusion zone. In October 2021 we undertook a full system validation, with a focus on evaluating the detection range and bearing accuracy of the system with respect to right whale upcalls. Five units were deployed in Mid-Atlantic waters and we played more than >3,500 simulated right whale upcalls at known locations to characterize the detection function and bearing accuracy of each unit. The modeled results of the detection function error were then used to compare the effectiveness of a bearing-based system to a single sensor that can only detect a signal but not ascertain directivity.</p> <p>3.<span> </span>Field trials indicated maximum detection ranges from 4–7.3 km depending on source and ambient noise levels. Simulations showed that incorporating bearing detections provides a substantial improvement in false alarm rates (6 to 12 times depending on number of units, placement, and signal to noise conditions) for a small increase in the risk of missed detections inside of an exclusion zone (1–3%). </p> <p>4.<span> </span>We show that the system can be used for monitoring exclusion zones and clearly highlight the value of including bearing estimation into exclusion zone monitoring plans while noting that placement and configuration of units should reflect anticipated ambient noise conditions.</p>
Learner evaluation forms NextFOOD
<p>This dataset entails qualitative data on students’ experiences of participating in the FooFactory-Us competition before, during and after completion.</p>
EFAICTS final evaluations VanderLaan questionnaires synthesis
<p>This excel file summarizes the Van-der-Laan questionnaires of the pilots who participated to the final evaluations of the EFAICTS project.</p>
Raw Datasets of: "Evaluating the Cost-Effectiveness of Plastic Surgery Based on the Satisfaction with Quality of Life and Nasolabial Appearance in Thai Preteens with Cleft Lip and Palate"
<p>A cross-sectional study with 30 Thai preteen CLP patients aged between 8 to 12-year-old was undertaken between 2017 and 2019 at Tawanchai center. Their satisfaction with QoL was reflected through an interview and a questionnaire with the cooperation of their parents as their caregivers while satisfaction with their nasolabial appearance was from the evaluation of five experts who compared their photos with those of normal faces to determine correlation values of the nasolabial appearance from 5-rating scales using Fleiss’s kappa coefficient scores.</p>
Evaluating the suitability of close-kin mark-recapture as a demographic modelling tool for a critically endangered elasmobranch population
<p>Estimating the demographic parameters of contemporary populations is essential to the success of elasmobranch conservation programmes, and to understanding their recent evolutionary history. For benthic elasmobranchs such as skates, traditional fisheries-independent approaches are often unsuitable as the data may be subject to various sources of bias, whilst low recapture rates can render mark-recapture programmes ineffectual. Close-kin mark-recapture (CKMR), a novel demographic modelling approach based on the genetic identification of close relatives within a sample, represents a promising alternative approach as it does not require physical recaptures. We evaluated the suitability of CKMR as a demographic modelling tool for the critically endangered blue skate (<em>Dipturus batis</em>) in the Celtic Sea using samples collected during fisheries-dependent trammel-net surveys that ran from 2011 to 2017. We identified three full-sibling and 16 half-sibling pairs among 662 skates, which were genotyped across 6,291 genome-wide single nucleotide polymorphisms (SNPs), 15 of which were cross-cohort half-sibling pairs that were included in a CKMR model. Despite limitations owing to a lack of validated life-history trait parameters for the species, we produced the first estimates of adult breeding abundance, population growth rate, and annual adult survival rate for <em>D. batis</em> in the Celtic Sea. The results were compared to estimates of genetic diversity, effective population size (N<sub>e</sub>), and catch per unit effort (CPUE) estimates from the trammel-net survey. Although each method was characterised by wide uncertainty bounds, together they suggested a stable population size across the time-series. Recommendations for the implementation of CKMR as a conservation tool for data-limited elasmobranchs are discussed. In addition, the spatio-temporal distribution of the 19 sibling pairs revealed a pattern of site-fidelity in <em>D</em>. <em>batis</em>, and supported field observations suggesting an area of critical habitat that could qualify for protection might occur near the Isles of Scilly.</p>
Tigrinya Analogy Test for evaluating Word Embeddings
<p><strong>Tigrinya Analogy Test for evaluating Word Embeddings</strong></p> <p>This is a Tigrinya version of the Google Analogy Test set, which is used to evaluate English word-embedding models. The analogy test is a well-established strategy to empirically evaluate the quality of word-embedding models. More information about the English task can be found at the <a href="https://aclweb.org/aclwiki/Google_analogy_test_set_(State_of_the_art)">ACL Wiki</a>.</p> <p>This data is was first machine translated then manually verified by a native speaker to reduce errors.</p> <p>Some aspects of the original analogy test is focused on English and may not transfer well to other languages, such as those related to grammar or morphology. Therefore, we have discarded examples that became irrelevant in Tigrinya when adapting the task. Finally, there are a total of <strong>18465</strong> entries in the Tigrinya Analogy Test set, while the source English data has <strong>19544</strong> entries.</p> <p>An entry is dropped if the translations led to one of the following conditions:</p> <ol> <li>If the source word pair map to one Tigrinya word, for example, lucky & luckiest both correspond to ዕድለኛ.</li> <li>If the source word results in a multi-word expression. For example, grandson (ወዲ ጓል / ወዲ ወዲ), granddaughter (ጓል ጓል / ጓል ወዲ). This because the typical word-embedding approaches such as <em>word2vec</em> are not designed to predict multi-word phrases.</li> </ol> <p> </p> <p><strong>Test Sections</strong></p> <p>The test includes a series of semantic and syntactic analogies divided up into subsections including world capitals, currencies, family, tense, and plurality. The test contains the following sections:</p> <ol> <li>capital-world</li> <li>currency</li> <li>city-in-state</li> <li>family</li> <li>gram1-adjective-to-adverb</li> <li>gram2-opposite</li> <li>gram3-comparative</li> <li>gram4-superlative</li> <li>gram5-present-participle</li> <li>gram6-nationality-adjective</li> <li>gram7-past-tense</li> <li>gram8-plural</li> <li>gram9-plural-verbs</li> </ol> <p> </p> <p><strong>Examples:</strong></p> <ul> <li>Semantic section of World Capitals: “ኣስመራ: ኤርትራ as ፓሪስ: ?” and if the model responds correctly it will return: “ፈረንሳ”.</li> <li>Semantic section of Family section: “ሰብኣይ: ሰበይቲ as ወዲ: ጓል”.</li> <li>Syntax section with tense, a sample analogy might be “Walk: Walked as Run: Ran”.<br> </li> </ul> <p><strong>Evaluation</strong></p> <p>The final accuracy of a model is the proportion of the questions that the model answers correctly.<br> Generally, a better-quality model would answer more questions correctly than a model of lower quality.<br> However, note that a model with low performance on this analogy test, might still contain useful information, but may not be robust or good enough for more complex tasks.</p> <p> </p> <p><strong>Limitations</strong></p> <ul> <li>The analogy test could be a good indicator of the quality of word-embeddings, but it should be used with caution when comparing models trained on varying domains of data. It shall not be expected to generalize equally to all domains.</li> <li>The final score can be affected by the size, vocabulary, and domain of the text with which the models are trained on. For example, this may not be a good benchmark to compare models trained on news text <em>vs</em> posts on social media.</li> <li>Even though a manual sanity check was performed, we note that the semi-automatic construction of the Tigrinya test set might contains errors. If you discover any, you are welcome to contribute back by either opening an <em>Issue</em> at the GitHub repo, <a href="https://github.com/fgaim/tigrinya-analogy-test">https://github.com/fgaim/tigrinya-analogy-test</a>.</li> </ul> <p> </p> <p><strong>Citation</strong></p> <p>If you use this resource in your research, please cite it accordingly.</p>
Hypothetical landscapes to evaluate connectivity metrics of protected area networks.
<p>This repo contains the raw datasets (as GIS shapefiles) useful to evaluate connectivity metrics of protected area networks. Please suggest if additional landscapes could be added that would be useful to evaluate an additional class or characteristic of protected area networks. They were created using Google Earth Engine script: <strong><a href="https://code.earthengine.google.com/d1a8dfa3202ac8b4e55657bd3b5a1160">https://code.earthengine.google.com/d1a8dfa3202ac8b4e55657bd3b5a1160</a>.</strong></p> <p>Two shapefiles are provided: (1) ProNet_connectivity_library_L1_26pa -- this contains polygons that represent the size and shape of protected areas (PAs); (2) ProNet_connectivity_library_L1_26pae -- this contains polylines that represent "edges" that do not represent any protected area but denotes that two PAs are connected. Note that these landscapes are fictitious, and represented at the global origin (i.e. 0.0 degrees latitude and 0.0 degrees longitude) -- and are quite small so zooming in will be required to see them in GIS software.</p>
Water Isotherms of Adsorbent Materials Evaluated in the Hycool Project
<p>This data is a collection of water adsorption equilibria measured on a selection of water adsorbent materials.<br> They were produced by E. Piccoli (Empa) and revised by V. Brancato and A. Frazzica (CNR-ITAE) and by S. Galmarini (Empa).<br> The methods used to characterize the materials are described in [1], using a DVS Endeveour instrument from SMS. More details can be found in [2].<br> This work was performed in the framework of the project "HyCool: Industrial Cooling through Hybrid system based on Solar Heat", funded by the European Commission H2020 Programme under Grant Agreement No. 792073.</p>
Global and regional long-term M4.95+ seismicity forecasts undergoing prospective evaluation
<p>Contains a stationary M5.95+ seismicity forecast derived from the Global Earthquake Activity Rate (GEAR1) model of Bird et al. (2015) and nineteen time-invariant M4.95+ earthquake forecasts participating in forecast experiments conducted by the Collaboratory for the Study of Earthquake Predictability (CSEP) in California, New Zealand, and Italy. Ten additional forecast files are included to properly perform comparative tests.</p> <p>Earthquake rates are expressed as number of M4.95+ earthquakes per 0.1<sup>o</sup> cell per year. Forecasts are stored in tab separated values files with the following fields (the first row is shown as an example):</p> <table> <tbody> <tr> <td>lon_min</td> <td>lon_max</td> <td>lat_min</td> <td>lat_1</td> <td>depth_0</td> <td>depth_1</td> <td>mag_0</td> <td>mag_1</td> <td>rate</td> <td>flag</td> </tr> <tr> <td>-125.4</td> <td>-125.3</td> <td>40.1</td> <td>40.2</td> <td>0.0</td> <td>30.0</td> <td>4.95</td> <td>5.05</td> <td>5.8499e-04</td> <td>1</td> </tr> </tbody> </table> <p>The data, forecasts, and tests are described in detail in the following publications and the references contained therein:</p> <p>Bayona, J.A., Savran, W.H., Iturrieta, P., Gerstenberger, M.C., Marzocchi, W., Schorlemmer, D., and Werner, M.J., Are Regionally Calibrated Seismicity Models more Informative than Global Models? Insights from California, New Zealand, and Italy. <em>in review</em>.</p> <p>Bayona, J.A., Savran, W.H., Rhoades, D.A. and Werner, M.J., 2022. Prospective evaluation of multiplicative hybrid earthquake forecasting models in California. <em>Geophysical Journal International</em>, <em>229</em>(3), pp.1736-1753.</p> <p>Bird, P., Jackson, D.D., Kagan, Y.Y., Kreemer, C. and Stein, R.S., 2015. GEAR1: A Global Earthquake Activity Rate Model Constructed from Geodetic Strain Rates and Smoothed SeismicityGEAR1: A Global Earthquake Activity Rate Model Constructed from Geodetic Strain Rates and Smoothed Seismicity. <em>Bulletin of the Seismological Society of America</em>, <em>105</em>(5), pp.2538-2554.</p> <p>Marzocchi W, Schorlemmer D, Wiemer S. Preface. Ann. Geophys. [Internet]. 2010Nov.5 [cited 2022Sep.16];53(3):III-VIII. Available from: https://www.annalsofgeophysics.eu/index.php/annals/article/view/4851</p> <p>Rhoades, D.A., Christophersen, A., Gerstenberger, M.C., Liukis, M., Silva, F., Marzocchi, W., Werner, M.J. and Jordan, T.H., 2018. Highlights from the first ten years of the New Zealand earthquake forecast testing center. <em>Seismological Research Letters</em>, <em>89</em>(4), pp.1229-1237.</p> <p>Savran, W.H., Bayona, J.A., Iturrieta, P., Asim, K.M., Bao, H., Bayliss, K., Herrmann, M., Schorlemmer, D., Maechling, P.J. and Werner, M.J., 2022. pycsep: A python toolkit for earthquake forecast developers. <em>Seismological Society of America</em>, <em>93</em>(5), pp.2858-2870.</p> <p>Schorlemmer, D., Gerstenberger, M.C., Wiemer, S., Jackson, D.D. and Rhoades, D.A., 2007. Earthquake likelihood model testing. <em>Seismological Research Letters</em>, <em>78</em>(1), pp.17-29.</p> <p>Werner, M.J., Zechar, J.D., Marzocchi, W. and Wiemer, S., 2010. Retrospective evaluation of the five-year and ten-year CSEP-Italy earthquake forecasts. <em>arXiv preprint arXiv:1003.1092</em>.</p> <p>Zechar, J.D., Gerstenberger, M.C. and Rhoades, D.A., 2010. Likelihood-based tests for evaluating space–rate–magnitude earthquake forecasts. <em>Bulletin of the Seismological Society of America</em>, <em>100</em>(3), pp.1184-1195.</p> <p>Zechar, J.D., Schorlemmer, D., Werner, M.J., Gerstenberger, M.C., Rhoades, D.A. and Jordan, T.H., 2013. Regional earthquake likelihood models I: First‐order results. <em>Bulletin of the Seismological Society of America</em>, <em>103</em>(2A), pp.787-798.</p>
Evaluation of DNA extracted from timber rattlesnake (Cotalus horridus) cloacal and blood swabs for microsatellite genotyping
<p>Genetic research is a key component to modern wildlife conservation, but it is contingent on the collection of reliable and high-quality genetic samples. Invasive genetic sampling techniques have potential to negatively impact individuals, which may be prohibitive when working with threatened and endangered species. Prior to sample collection, project managers must try to balance the negative impact on individuals included in the study with the demand for DNA and the difficulty of obtaining samples. Although established methods for blood and tissue collection in reptiles meet the need for high-quantity and quality DNA, they inherently require longer handling times and more skill to obtain. Thus, non-invasive DNA collection methods, such as cloacal swabs, may be preferred when animal welfare is a priority. Cloacal swabs are quicker, easier, require less training and reduce handling time. To evaluate cloacal swabbing as an alternative to collecting blood, we obtained both cloacal and blood swabs. We extracted DNA from cloacal and blood cells that were collected from 23 Timber Rattlesnakes (Crotalus horridus). We assessed DNA by purity (A260/A280), concentration, and microsatellite genotyping. Our results show high-quality DNA can be obtained from both cloacal swabs and blood samples, but quality and concentration of DNA was significantly lower from cloacal swabs. Further, degradation and contamination affects the performance of cloacal DNA when compared to blood DNA in microsatellite-based genotyping. Although we recommend collecting blood samples whenever possible to obtain the highest-quality DNA, cloacal swabs represent a viable alternative for genetic sampling when using microsatellite loci as genetic markers.</p>
Rhyme annotation evaluation: a Hand-Annotated Sample of the Quan Tang Shi and Quan Song Shi
<p>This dataset consists of 3 files:</p> <ul> <li>hand_annotated_sample.json contains a sample of 444 poems from the Quan Tang Shi and Quan Song Shi; these poems were pre-annotated by a Community annotator and manually reviewed / amended by the main author.</li> <li> <p>hand_annotated_subsample_(author).json contains a sub-sample of the previous file, containing 44 poems (10%); the annotations therein are identical to the annotations in the file above.</p> </li> <li> <p>hand_annotated_subsample_(colleague).json contains the same sub-sample of 44 poems, but annotated by a colleague of the author. The aim is to assess human inter-annotator agreement for this type of poetry.</p> <p> </p> <p> </p> <p> </p> </li> </ul> <p> </p>
Figure 5 in Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran
Figure 5. Moving colonies to imperialist in culture and language axes (AtashpazGargari et al. 2008).
Figure 2 in Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran
Figure 2. Generalized semivariogram showing the range of spatial dependence, nugget effect (C0) variability associated with spatial dependence (C), and sill (C + C0).
Figure 1 in Laboratory evaluation of Beauveria bassiana, some plant oils and insect growth regulators against two-spotted spider mite, Tetranychus urticae Koch (Acari: Tetranychidae)
Figure 1. Infection caused by Beauveria bassiana on Tetranychus urticae, (a, b) dead female mites due to mycosis, (c) dead mite in control.
Data used for the article "Global evaluation of the dry gets drier and wet gets wetter paradigm from terrestrial water storage changes perspective".
<p>This is the data used in the HESS paper "Global evaluation of the dry gets drier and wet gets wetter paradigm from terrestrial water storage changes perspective".</p>
Development and evaluation of E3SM-MOSAIC: Spatial distributions and radiative effects of nitrate aerosol
<p>FC20TR-MOZ_NUG_PD_V2beta4_ANN_200501_201412_climo.nc 10-yr mean for MZT_PD</p> <p>FC20TR-MOZ_MOSAIC_AIKDST_NUG_PD_V2beta4_ANN_200501_201412_climo.nc 10-yr mean for MTC_SLOW_PD</p> <p>FC20TR-MOZ_MOSAIC_AIKDST_MTC_NUG_PD_V2beta4_ANN_200501_201412_climo.nc 10-yr mean for MTC_WGT_PD</p> <p>FC20TR-MOZ_MOSAIC_AIKDST_MTC-SPLC_NUG_PD_V2beta4_ANN_200501_201412_climo.nc 10-yr mean for MTC_SPLC_PD</p> <p> </p> <p>NO3_TM_2005-2014.nc 10-yr mean nitrate burden</p> <p>NO3_AQCH_GAEX_2005-2014.nc 10-yr mean for nitrate chemistry production</p> <p>NO3_DRF_2005-2014.nc 10-yr mean nitrate direct forcing between PD and PI</p> <p>NO3_INDRF_2005-2014.nc 10-yr mean nitrate indirect forcing between PD and PI</p> <p> </p> <p>NH4_TM_2005-2014.nc 10-yr mean for ammonium burden</p> <p>NH4_DRF_2005-2014.nc 10-yr mean ammonium direct forcing between PD and PI</p> <p> </p> <p>SO4_TM_2005-2014.nc 10-yr mean for sulfate burden</p> <p>SO4_DRF_2005-2014.nc 10-yr mean sulfate direct forcing between PD and PI</p> <p> </p> <p>CCN3_1850.nc Cloud condensation nuclei number concentrations at 0.1% super saturation at PI</p> <p>CCN3_2005-2014.nc CCN3 at PD</p> <p>CCN3_NONO3_1850.nc CCN3 at PI without nitrate formation</p> <p>CCN3_NONO3_2005-2014.nc CCN3 at PD without nitrate formation</p> <p> </p> <p>CDNC_*.nc cloud droplet number concentrations</p> <p>CLDFRC_*.nc cloud fraction</p> <p>CWP_*.nc cloud liquid water path</p> <p> </p> <p> </p>
Data for: Image-based evaluation of beers at an online Pint of Science festival using Projective Mapping, Check-All-That-Apply and Acceptability
<p>Data obtained from n=67 untrained attendants at an outreach Pint of Science festival, online because of the COVID-19 pandemic but usually held at bars. The participants used images of brand logos to evaluate eight beers among the most commonly consumed in Spain. Three sensory analysis techniques were used: Projective Mapping, Acceptability and Check-All-That-Apply (CATA).</p>
Fig. 3 in Systematic evaluation of cryptic freshwater snails from central Chile, including the enigmatic Littoridina santiagensis (Gastropoda, Truncatelloidea)
Fig. 3. Potamolithus santiagensis (Biese, 1944) comb. nov., Yeso Spring, Chile. A. Shell imaged using SEM. B–D. Shell of the same specimen photographed under a stereo microscope (frontal, dorsal, lateral views). E. Protoconch. F–G. Opercula of two specimens (outer, inner sides, respectively). H. Head of a female. I. Head of another female having a nuchal node. J. Anterior-central section of radular ribbon. K. Central teeth. Abbreviations: f = foot; h = head; l = lip; lt = left tentacle; nn = nuchal node; rt = right tentacle. Scale bars: A–D = 1.0 mm; E = 250 μm; F–G = 500 μm; H–I = 0.5 mm; J = 50 μm; K = 10 μm.
Fig. 2 in Systematic evaluation of cryptic freshwater snails from central Chile, including the enigmatic Littoridina santiagensis (Gastropoda, Truncatelloidea)
Fig. 2. Shells of truncatelloidean freshwater snails observed in the present study. A–B. Slender morphotype from El Yeso Spring (A) and Lo Carreño (B) assigned to Potamopyrgus antipodarum (Gray, 1843). C–E. Thicker morphotype from El Yeso Spring (C), Lo Carreño (D) and El Colorado (E) assigned to Potamolithus santiagensis (Biese, 1944) comb. nov. F. Thicker morphotype from Viña Casas del Maule assigned to Potamolithus sp. Scale bar = 1 mm.
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.