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.
8,038
datasets available to search
ShareScore release 0.9.0
Dataset results
8,038 results for “Validity”
Validation of Time Series Technique for Prediction of Conformational States of Amino Acids
<p>Validation of Time Series Technique for Prediction of Conformational States of Amino Acids</p> <p>- a project for fulfillment of M.Sc (Master of Science) in Bioinformatics.</p>
US State Social Distancing Intervention Dates (valid to 4/25/20)
<p>This dataset contains dates for the implementations of the following interventions in 50 US states plus Shelby County TN in response to COVID-19. Each intervention date has an associated comment containing sources for that date and a rationale when the decision was not strictly objective. Interventions are valid to 4/25/20 after which some states began to reverse some interventions.</p> <ul> <li>schools_universities <ul> <li>Primary/secondary school closing; partial closing is OK; State university closing if it precedes primary/secondary</li> </ul> </li> <li>travel_restrictions <ul> <li>Out of state travel quarantine restrictions OR state-level guidance to avoid traveling out of state</li> </ul> </li> <li>public_events <ul> <li>Banning of ALL public events of more than 100 participants</li> </ul> </li> <li>sport <ul> <li>Banning/canceling of sporting events. Banning of public events of 1000 or more also qualifies.</li> </ul> </li> <li>lockdown <ul> <li>Definitions vary, but include: banning of non-essential gatherings/business operations, ordering stay at home except for exercise and essential tasks; stay at home/safer at home orders</li> <li>Lockdown encompasses all other intervensions by definition, so if a state skips multiple interventions and goes to lockdown, the lockdown date is used for those interventions as well.</li> </ul> </li> <li>social_distancing_encouraged <ul> <li>State advice on distancing including: work from home, reduce public transport, avoid non-essential contact; any guidance for maintaining a physical distance from others will also qualify. Mere words "social distancing" do not count unless they are elaborated with what that means in practice. Messaging must be to public and not selected group (e.g. state employees).</li> </ul> </li> <li>self_isolating_if_ill <ul> <li>Strong recommendations/laws about self-isolating if showing COVID like symptoms; Statewide testing implies this, so whichever comes first. Messaging must be to public and not selected group (e.g. state employees).</li> </ul> </li> </ul>
Data from: Microplastic prevalence in 4 Oregon rivers along a rural to urban gradient applying a cost‐effective validation technique
<p>Microplastics are ubiquitous in our environment and are found in rivers, streams, oceans, and even tap water. Riverine microplastics are relatively understudied compared to those in marine ecosystems. In Oregon, we sampled eight sites along four freshwater rivers spanning rural to urban areas to quantify microplastics. Plankton tow samples from sites along the Columbia, Willamette, Deschutes, and Rogue Rivers were analyzed using traditional light microscopy for initial microplastic counts. Application of Nile Red dye to validate microplastics improved microplastic identification, particularly for particles (Wilcox Test; p-value=0.001). Nile Red-corrected microfiber abundance was correlated with human population within five kilometers of the sample site (R²=0.554), though no such relationship was observed between microparticles and population (R²=0.183). This study finds plastics present in all samples from all sites, despite the range from undeveloped, remote stretches of river in rural areas to metropolitan sites within Portland, demonstrating the pervasive presence of plastic pollution<span> </span><span><span>in freshwater environments.</span></span></p>
Training and Testing Data, Associated Code, and SCAM Validations Code and Data for ResNet in moist physics (ResCu)
<p>Data and codes for a deep convolutional residual neural network moist physics parameterization (ResCu).</p> <p>In this new version, the randomly selected training data samples and part of testing data samples (June, July and August) are provided. They are processed into a new data structure, which can be directly utilized in training and testing. For the entire second year training samples and the entire third year testing samples, we provide them in a repository at Dryad (<a href="https://doi.org/10.6075/J0CZ35PP">https://doi.org/10.6075/J0CZ35PP</a> and https://doi.org/10.6075/J03J3BGF).</p> <p>Please download and decompress ResCu_Han_et_al_JAMES.tar.gz.</p> <p>Follow the instructions in README.txt and download the training and testing data (The Dryad depositary is provided in the description). </p> <p>Here we provide 3 parts of data and codes:</p> <p>1, Training and testing data from SPCAM;</p> <p>2, Training and testing codes for ResCu and many other NN architectures;</p> <p>3, SCAM validations.</p> <p> </p>
Storm-Time Plasma Pressure Inferred from Multi-Mission Measurements and Its Validation using Van Allen Probes Particle Data
<p>Data associated with Space Weather Journal manuscript submission titled: "Storm-Time Plasma Pressure Inferred from Multi-Mission Measurements and Its Validation using Van Allen Probes Particle Data". This includes all the digital data that was used in constructing the Figures from the main text, along with files containing the fit set of coefficients and parameters for the model, and files describing the subset of magnetometer used for fitting the model. </p>
FIGURE 3 in Resurrection of Amolops nepalicus Yang, 1991 (Amphibia: Anura: Ranidae), with Comments on the Record of A. cf. afghanus in Nepal and China and the Validity of Two Other Junior Synonyms of A. marmoratus (Blyth, 1855)
FIGURE 3. Photographs of the holotype of A. nepalicus UMMZ 132063 showing (A) dorsal view, (B) ventral view, (C) dorsolateral closeup of dorsum, (D) dorsal close-up of head and dorsum, (E) lateral close-up of head, (F) ventral closeup of head, (G) ventral close up of left hand, and (H) ventral close up of left foot. Individual images are not to scale. Photographs by Kai Wang.
FIGURE 1 in Resurrection of Amolops nepalicus Yang, 1991 (Amphibia: Anura: Ranidae), with Comments on the Record of A. cf. afghanus in Nepal and China and the Validity of Two Other Junior Synonyms of A. marmoratus (Blyth, 1855)
FIGURE 1. The distributions of the Amolops marmoratus complex in the Pan-Himalaya region. Star represent the type locality of A. nepalicus (on the Sabhaya Khola [=Sabha Khola], Sankhuwasabha District, Nepal); numbered rectangles represent type localities of recognized species of the complex; pentagon represents type locality of the junior synonym Ixalus argus; triangles represent localities of examined A. cf. afghanus in Tibet of China (1) and Nepal (2); and circles without the white-outline correspond to the shaded regions with the same color, which are either a vague type locality (i.e. Tenasserim [=Tanintharti Region] for Rana latopalmata), or confirmed distribution without a known type locality (i.e. no correct type locality of A. afghanus; see Dever et al. 2012).
FIGURE 4 in Resurrection of Amolops nepalicus Yang, 1991 (Amphibia: Anura: Ranidae), with Comments on the Record of A. cf. afghanus in Nepal and China and the Validity of Two Other Junior Synonyms of A. marmoratus (Blyth, 1855)
FIGURE 4. Comparisons between males of (A) Amolops nepalicus UMMZ 132063, (B) A. marmoratus CAS 240545, and (C) A. afghanus CAS 220182, as well as a female of (D) A. cf. afghanus from Nepal CAS 145816, and a juvenile of (E) A. cf. afghanus from China CAS 177645. Different columns show (1) skin texture on the dorsolateral surfaces of the body, (2) head shape, (3) other characters on the lateral head (i.e. nostril position and distinctiveness of tympanum and supratympanic fold), (4) gular pouch/vocal sacs, (5) relative finger length and shape and size of nuptial pads when applicable, and (6) webbing formula and subdigital tubercles of the foot (6). Individual images are not to scale. Photographs by Kai Wang.
FIGURE 2 in Resurrection of Amolops nepalicus Yang, 1991 (Amphibia: Anura: Ranidae), with Comments on the Record of A. cf. afghanus in Nepal and China and the Validity of Two Other Junior Synonyms of A. marmoratus (Blyth, 1855)
FIGURE 2. PCA plot of the first two major principle components (PCs) on the selected morphometric measurements among the true A. afghanus, topotypic A. indoburmanensis, topotypic A. marmoratus, and the holotype of A. nepalicus.
FIGURE 3 in Vanmanenia intermedia Fang, 1935, a valid hill-stream species of loach (Teleostei Gastromyzontidae) from the middle Yangtze River basin, Southwest China
FIGURE 3. Mouthpart soft-tissue structures of four species of Vanmanenia: (a) V. striata, IHB 83403, 86.1 mm SL,Yong-Jiang, a coastal river in Zhejiang Province, China; (b) V. intermedia, IHB2017121983, 91.3mm SL, Yuan-Jiang of the middle Yangtze River basin, at Duyun City, Guizhou Province, China (c) V. pingchowensis: IHB2017122224, 91.3 mm SL, Xi-Jiang of Pearl River basin at Pingtang County, Guizhou Province, China; (d) V. xinyiensis, IHB 77VII074, 96.3 mm SL, Pearl River basin at Xinyi County. lj: lower jaw; mb: maxillary barbel; rb: rostral barbel; rf: rostral fold; srb: secondary rostral barbel; uj: upper jaw; ul: upper lip; ll: lower lip.
FIGURE 1. Bayesian inference tree derived from the cyt b in Vanmanenia intermedia Fang, 1935, a valid hill-stream species of loach (Teleostei Gastromyzontidae) from the middle Yangtze River basin, Southwest China
FIGURE 1. Bayesian inference tree derived from the cyt b gene for nine species of Vanmanenia. Nodal numbers are posterior probability values larger than 50%.
FIGURE 4 in Vanmanenia intermedia Fang, 1935, a valid hill-stream species of loach (Teleostei Gastromyzontidae) from the middle Yangtze River basin, Southwest China
FIGURE 4. Relation between snout length and standard length (a), between anal-fin base length and standard length (b), between eye diameter and standard length and (c), and between internasal width and head width (d) for V. intermedia (△) and V. maculata (■).
The reliability and validity of an Arabic version of the modified Japanese Orthopedic Association score for cervical myelopathy
<p><b>Purpose: </b>The modified Japanese Orthopedic Association score (mJOA) is considered as one of the most comprehensive scores in assessment of patients with cervical myelopathy. Hence, comes the need for providing a validated, translated and cross-culturally adapted versions in different languages in order to standardize patient's evaluation. This study aims to translate and validate an Arabic version of the mJOA.</p> <p><b>Methods: </b>65 patients of variable age and etiologies for compressive cervical myelopathy were recruited. Forward and backward translations were performed, followed by measurement of intra-observer and inter-observer reliability using intra-class correlation coefficient and Cronbach's alpha coefficient.</p> <p><b>Results: </b>The patients had a mean age of 58.08, predominantly males (69.2%). The intra-observer reliability and inter-observer reliability showed almost perfect agreement for the different sections and the total score, with 96.8 and 97.4, respectively.</p> <p><b>Conclusion: </b>This study provides a reliable, cross-culturally adapted Arabic version of mJOA for cervical myelopathy patients. Although the study was conducted on Egyptian patients, we believe it could be implemented with majority of Arabic speaking population.</p>
Content Validity of a Questionnaire Exploring the Knowledge Translation Network Among Nursing Professionals
<p>Expert responses to the validation questionnaire of a knowledge transfer questionnaire in nursing networks In addition to the answers, you can see the calculations made and the results obtained.</p>
Supporting Information for "How long is too long? Variogram analysis of AERONET data to aid aerosol validation and intercomparison studies"
<p>This contains data sets and their description for the paper "How long is too long? Variogram analysis of AERONET data to aid aerosol validation and intercomparison studies" submitted to the journal Earth and Space Science by this author. This study investigates the uncertainty introduced into comparisons (between e.g. AERONET ground observations, satellite retrievals, or model simulations) of aerosol optical properties due to differences in time of observation between the data sets. This uncertainty source has historically been neglected but is potentially important in some situations.</p> <p> </p> <p>Journal policies are that Supporting Information data sets can no longer be archived with the paper, but instead should be uploaded to a separate repository. As a result, I have uploaded these data here.</p> <p> </p> <p>This data set consists of one pdf file describing the data sets, and then two zip archives containing the data (ASCII format). The total size is approximately 10 MB. These data files allow the reproduction of analysis results in this paper, and enable researchers to estimate temporal mismatch uncertainties in their own analyses involving AERONET sites.</p>
Data from: Standardization and validation of a panel of cross-species microsatellites to individually identify the Asiatic wild dog (Cuon alpinus)
The Asiatic wild dog or dhole (Cuon alpinus) is a highly elusive, monophyletic, forest dwelling, social canid distributed across south and Southeast Asia. Severe pressures from habitat loss, prey depletion, disease, human persecution and interspecific competition resulted in global population decline in dholes. Despite a declining population trend, detailed information on population size, ecology, demography and genetics is lacking. Generating reliable information at landscape level for dholes is challenging due to their secretive behaviour and monomorphic physical features. Recent advances in non-invasive DNA-based tools can be used to monitor populations and individuals across large landscapes. In this paper, we describe standardization and validation of faecal DNA-based methods for individual identification of dholes. We tested this method on 249 field-collected dhole faeces from five protected areas of the central Indian landscape in the state of Maharashtra, India. Results We tested a total of 18 cross-species markers and developed a panel of 12 markers for unambiguous individual identification of dholes. This marker panel identified 101 unique individuals from faecal samples collected across our pilot field study area. These loci showed varied level of amplification success (57-88%), polymorphism (3-9 alleles), heterozygosity (0.23-0.63) and produced a cumulative misidentification rate or PID(unbiased) and PID(sibs) value of 4.7x10-10 and 1.5x10-4, respectively, indicating a high statistical power in individual discrimination from poor quality samples. Conclusion Our results demonstrated that the selected panel of 12 microsatellite loci can conclusively identify dholes from poor quality, non-invasive biological samples and help in exploring various population parameters. This genetic approach would be useful in dhole population estimation across its range and will help in assessing population trends and other genetic parameters for this elusive, social carnivore.
Viewable Snow Covered Area Validation Masks over Rugged and Forested Terrain
<p>These data are maps of viewable snow cover generated from panchromatically sharpened cloud-free WorldView-2 and -3 data within 2 days of a Landsat 8 OLI acquisition or near-nadir MODIS acquisition. The spatial resolution of these validation data ranges from 0.34 m to 0.55 m, depending on the view angle of WorldView. ValKey.csv shows the list of validation dates and the corresponding Landsat 8 OLI and MODIS imagery. Validation images from December to June were selected to account for variability in illumination conditions, snow cover, and snow albedo. The imagery spans diverse locations across California’s Sierra Nevada that represent the heavily forested western slope, higher elevation regions, and drier eastern slopes. The WorldView images range from well illuminated alpine scenes above the tree line in June to heavily shadowed scenes below the tree line in December. The snow-covered WorldView pixels are assumed to be pure endmembers of 100% snow, which are then coarsened to Landsat or MODIS spatial resolutions and provided here as geotiffs. Neither WorldView, Landsat, nor MODIS can see through thick tree canopies, so the data is comprised of snow that an optical sensor identifies. Complete methods used to generate the dataset are available in the companion publication: tbd</p> <p>Binary snow cover maps at the native worldview resolution are unsigned 8 bit integers with fill pixels set to zero, snow pixels set to one, and snow free pixels set to two.</p> <p>Fill Pixels [0]</p> <p>Snow Covered Pixels [1]</p> <p>Snow Free Pixels [2]</p> <p>Fractional snow covered area geotiffs in the projections and at the spatial resolution of Landsat 8 and MODIS products are signed 16-bit integers with a fill value of -32768. The divisor and offset are 1000 & 0 respectively.</p> <p>Fractional snow covered area [0-1000)] (divisor of 1000 and offset of 0 for measurement range of 0-1)</p> <p>Fill Pixels [-32768]</p>
A validated physical model of the thermoelectric drift of Pt-Rh thermocouples above 1200 °C
<p>Data associated with a validated physical model of the thermoelectric drift of Pt-Rh thermocouples above 1200 °C (Metrologia 57 (2020) 025009) https://doi.org/10.1088/1681-7575/ab71b3</p>
Input and validation data for the Askervein Hill benchmark
<p>This dataset has been generated within the IEA-Wind Task 31 Wakebench project to validate microscale flow models over complex terrain. The data has been digitized from the original technical reports of the experiment from Taylor and Teunissen (1983/1985).</p>
Integrating QSAR models predicting acute contact toxicity and mode of action profiling in honey bees (A. mellifera): Data curation using open source databases, performance testing and validation
<p>This excel file (DOI: <a href="https://doi.org/10.5281/zenodo.3755675">https://doi.org/10.5281/zenodo.3755675</a>) provides the collection of raw data used for developing the first integrative Quantitative Structure-Activity Relationship (QSAR) model using EFSA's OpenFoodTox, US-EPA ECOTOX and Pesticide Properties DataBase i) to predict acute contact toxicity (LD<sub>50</sub>) and ii) to profile the Mode of Action (MoA) of pesticides active substances in honey bees (<em>Apis mellifera</em>)<em>. </em>Chemical identifiers (e.g. SMILES, CAS n., InChI) and acute contact toxicity data (LD<sub>50</sub>) on honey bees were used to develop and validate i) a two-category QSAR model (toxic/non-toxic; n=411) (sensitivity =0.93), specificity =0.85), balanced accuracy =0.90), Matthews correlation coefficient MCC=0.78), and ii) a regression-based model (n=113) (R2=0.74; MAE=0.52). Similarly, current study proposes the first MoA profiling for 113 pesticides active substances and the first harmonised MoA classification scheme for acute contact toxicity in honey bees, including LD<sub>50s</sub> data points from three different databases such as EFSA's OpenFoodTox, US-EPA ECOTOX and Pesticide Properties DataBase. Such classification allows to further define MoAs and the target site of Plant Protection Products (PPPs) active substances, thus enabling regulators and scientists to refine chemical grouping and toxicity extrapolations for single chemicals and component-based mixture risk assessment of multiple chemicals.</p> <p>The full data collection and analysis of QSAR models, toxicity data (LD<sub>50</sub>) and Mode of Action (Moa) data are described in Carnesecchi et al., 2020 (DOI: doi.org/10.1016/j.scitotenv.2020.139243).</p> <p>This work was supported by the European Food Safety Authority (EFSA) [contract number: OC/EFSA/SCER/2018/01 and NP/EFSA/AFSCO/2016/02 (Edoardo Carnesecchi)].</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.