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”
Data for: Evaluation of antibody kinetics and durability in health individuals vaccinated with inactivated COVID-19 vaccine (CoronaVac): a cross-sectional and cohort study in Zhejiang, China
<p><strong>Background</strong>: Although inactivated COVID-19 vaccines are proven to be safe and effective in the general population, the dynamic response and duration of antibodies after vaccination in the real world should be further assessed.</p> <p><strong>Methods</strong>: We enrolled 1067 volunteers who had been vaccinated with one or two doses of CoronaVac in Zhejiang Province, China. Another 90 healthy adults without previous vaccinations were recruited and vaccinated with three doses of CoronaVac, 28 days and 6 months apart. Serum samples were collected from multiple timepoints and analyzed for specific IgM/IgG and neutralizing antibodies (NAbs) for immunogenicity evaluation. Antibody responses to the Delta and Omicron variants were measured by pseudovirus-based neutralization tests.</p> <p><strong>Results</strong>: Our results revealed that binding antibody IgM peaked 14–28 days after one dose of CoronaVac, while IgG and NAbs peaked approximately 1 month after the second dose and then declined slightly over time. Antibody responses had waned by month 6 after vaccination and became undetectable in the majority of individuals at 12 months. Levels of NAbs to live SARS-CoV-2 were correlated with anti-SARS-CoV-2 IgG and NAbs to pseudovirus, but not IgM. Homologous booster around 6 months after primary vaccination activated anamnestic immunity and raised NAbs 25.5-fold. The neutralized fraction subsequently rose to 36.0% for Delta (p=0.03) and 4.3% for Omicron (p=0.004), and the response rate for Omicron rose from 7.9% (7/89) to 17.8% (16/90).</p> <p><strong>Conclusions</strong>: Two doses of CoronaVac vaccine resulted in limited protection over a short duration. The inactivated vaccine booster can reverse the decrease of antibody levels to prime strain, but it does not elicit potent neutralization against Omicron; therefore, the optimization of booster procedures is vital.</p>
Evaluation of the impact of interdisciplinarity on the careers of researchers
<p>This questionnaire, developed by CNRS’ Mission for Transversal and Interdisciplinary Initiatives, aims to assess the impact of involvement in the development of an interdisciplinary research project on the careers of researchers. It has been sent to a list of pre-identified CNRS staff. Answers, together with facts and figures from CNRS HR department have been analysed and discussed in a publication, which is under review. THe original questionnaire was in French. In order to give access to a wide audience, we have translated into English. Please feel free to contact us, if you are interested in the French version.</p>
FIG. 1 in An evaluation of the endemic bryophyte flora of Guadeloupe
FIG. 1. — Isotypes of Frullania trigona L.Clark, Jovet-Ast & Frye (PC).
FIG. 2 in An evaluation of the endemic bryophyte flora of Guadeloupe
FIG. 2. — Lectotype of Riccardia innovans (Steph.) Pagán (G).
Data from: Evaluation of a community health worker home visit intervention to improve child development in South Africa: A cluster-randomized controlled trial
<p><span>This dataset was collected as part of a</span><span> cluster-randomized controlled trial that evaluated the impact of </span>a home visit intervention on child development<span> in Limpopo Province, South Africa. </span><span>Household survey data were collected at baseline and endline. In a subsample of children, neural function was assessed at a lab at endline and at two interim time points. Primary outcomes were: height-for-age z-scores (HAZ) and stunting; child development scores measured using the Malawi Developmental Assessment Tool (MDAT); absolute electroencephalography (EEG) gamma and total power; relative EEG gamma power; and saccadic reaction time (SRT)—</span>an eye-tracking measure of visual processing speed.</p>
Observing system simulation experiments to evaluate transport model error on CO2 flux estimates
<p>Atmospheric CO2 inversion using coarse-resolution transport model can cause large errors on surface carbon flux estimates. The transport model errors on flux estimates are isolated using observing system simulation experiments presented here.</p>
Cancer Health Disparities drivers with BERTopic Modelling and PyCaret Evaluation - Text data
<p>The complex interplay of social, behavioral, lifestyle, environmental, health system, and natural health variables contribute to disparities in cancer treatment across racial and ethnic groups. Consequently, it is necessary to identify the variables contributing to cancer health inequalities and develop strategies to achieve health equality. PubMed abstract on Cancer health disparities was scraped with a bio.Entrez python package. Preprocessed data with regex and Natural tool kit (NLTK), topic modelling with BERTopic embeddings, and c-TF-IDF to construct dense clusters and analyze top topics linked with Cancer health disparities. Model evaluation with PyCaret coherence score and web app deployment with Streamlit. The results showed that Topic 32 with terms obese, female, male, school, survey, student, poet, and discrepancy had the best coherence score of 0.3687. In contrast, topic 8, with terms prevalence, adult, income, high, usage, diabetes, education, elderly, change and low, received the least coherence score of 0.3255. The model classifies each Subject Word score based on the scores, the granular topic concerns and trends related to cancer health disparities, investigates the connection between drivers of cancer health disparities, and evaluates the model with their coherence score values</p>
Comparative evaluation of the forces produced by tongue on circummaxillary sutures in skeletal Class III malocclusion with maxillary hypoplasia using tongue crib with that of facemask therapy - A FEM study
<p>Data sheet showing stimulation result</p>
Evaluation of the stratospheric contribution to the inter-annual variabilities of tropospheric methane growth rates
<p>Input invariant emission inventory, OH field and the stratospheric loss field in fixed-budget simulation </p> <p> </p>
Evaluation of the pKa's of Quinazoline Derivatives : Usage of Quantum Mechanical Based Descriptors
<p>In this study, several quantum mechanical-based computational approaches have been used in order to propose accurate protocols for predicting the p<em>K<sub>a</sub></em>’s of quinazoline derivatives, which constitute a very important class of natural and synthetic compounds in organic, pharmaceutical, agricultural and medicinal chemistry areas. Linear relationships between the experimental p<em>K<sub>a</sub></em>’s and nine different DFT descriptors (atomic charge on nitrogen atoms (<em>Q</em>(N), ionization energy (<em>I</em>), electron affinity (<em>A</em>), chemical potential (m), hardness (h), electrophilicity index (w), fukui functions (<em>f <sup>+</sup></em>, <em>f <sup>-</sup></em>), condensed dual descriptor (D<em>f</em>) and local hypersoftness (s<sup>(2)</sup>)) were considered. Several DFT methods (a combination of five DFT functionals and two basis sets) in conjunction with two different implicit solvent models were tested, and among them, M06L/6-311++G(d,p) level of theory employing the CPCM solvation model was found to give the strongest correlations between the DFT descriptors and the experimental p<em>K<sub>a</sub></em>’s of the quinazoline derivatives. The calculated atomic charge on N<sub>1</sub> atom (<em>Q</em>(N<sub>1</sub>)) was shown to be the best descriptor to reproduce the experimental p<em>K<sub>a</sub></em>’s (R<sup>2</sup>=0.927), whereas strong correlations were also derived for <em>A</em>, w, m, and Δ<em>f</em>. In the last part, the applicability of isodesmic reaction scheme to the p<em>K<sub>a</sub></em> prediction of quinazoline derivatives was tested, and the calculated <em>A</em> was shown to be a well-established method for the classification of molecules, and thus, for the identification of a suitable reference molecule for the calculations. The QM-based protocols presented in this study will enable fast and accurate high-throughput p<em>K<sub>a</sub></em> predictions of quinazoline derivatives and the relationships derived can be effectively used in data generation for successful machine learning models for p<em>K<sub>a</sub></em> predictions.</p>
ESTER-Pt: An Evaluation Suite for TExt Recognition in Portuguese
<p><em><strong>disclaimer</strong></em>: Version accepted as full paper in ICDAR 2023.</p> <p>Optical Character Recognition (OCR) is a technology that enables machines to read and interpret printed or handwritten texts from scanned images or photographs. However, the accuracy of OCR systems can vary depending on several factors, such as the quality of the input image, the font used, and the language of the document. As a general tendency, OCR algorithms perform better in resource-rich languages as they have more annotated data to train the recognition process. We propose ESTER-Pt, an Evaluation Suite for TExt Recognition in Portuguese in this work. Despite being one of the largest languages in terms of speakers, OCR in Portuguese remains largely unexplored. Our evaluation suite comprises four types of resources: synthetic text-based documents, synthetic image-based documents, real scanned documents, and a hybrid set with real image-based documents that were synthetically degraded.</p>
DCASE 2023 Task5: Few-shot Bioacoustic Event Detection: Evaluation set
<p><strong>General Description</strong></p> <p>The evaluation set for task 5 of DCASE 2023 "Few-shot Bioacoustic Event Detection" consists of 8 subsets of data representing different acoustic sources, in total there are 66 audio files. </p> <p>The first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. </p> <p>This dataset is to be used for evaluation purposes during the task.</p> <p> </p> <p><strong>Folder structure</strong></p> <p>Audiofiles and annotation files are organized across 3 different zip files:</p> <p><em>Eval_1.zip</em></p> <p> |___CHE23/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> |___CW/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p><em>Eval_2.zip</em></p> <p> |___MGE/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> |___MS/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> |___QU/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> <em>Eval_3.zip</em></p> <p> |___DC/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> |___CT/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p> |___CHE/</p> <p> |____*.wav</p> <p> |____*.csv</p> <p><em>Annotations_only.zip</em> contains the *.csv files organised in the same subfolders.</p> <p>*The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files.</p> <p>*Note that there can be different target classes within the same subfolder</p> <p> </p> <p><strong>Annotation structure</strong></p> <p>Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows:<br> [ Audiofilename, Starttime, Endtime, Q ]</p> <p><strong>Development Set</strong></p> <p>The development set for the same task can be found at: <a href="http://doi.org/10.5281/zenodo.4543504">https://doi.org/10.5281/zenodo.6012309</a>. </p> <p><strong>Open Access</strong></p> <p>This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.<br> </p> <p><strong>Contact info</strong></p> <p>Please send any feedback or questions to:<br> Ines Nolasco: i.dealmeidanolasco@qmul.ac.uk</p> <p>or join us on slack: <a href="https://join.slack.com/t/dcase/shared_invite/zt-12zfa5kw0-dD41gVaPU3EZTCAw1mHTCA">task-fewshot-bio-sed</a></p>
PASS - A SCORING SYSTEM TO EVALUATE PERSISTENT ACUTE KIDNEY INJURY IN CRITICALLY ILL ADULT ICU PATIENTS
<p>Acute Kidney Injury (AKI) and sepsis is highly prevalent in Intensive Care Units (ICU) and has direct effect on mortality and morbidity. We aimed to evaluate if course and recovery of sepsis-AKI can be predicted using variables collected at the time of admission, and to develop a formula - Persistent AKI Scoring System (PASS) to predict recovery.</p> <p>63 consecutive patients admitted for sepsis-AKI in our ICUs were evaluated over a period of 8 months. Baseline demographic and clinical/laboratory parameters ,including serum creatinine (SCr), Base Excess (BE), Plethysmographic Variability Index (PVI), Caval Index, R wave Variability (RVI), Mean Arterial Pressure (MAP) and Renal Resistivity Index (RI) using renal doppler and need for inotropes were assessed on admission. Patients were managed with standard protocols with fluid resuscitation and other specific therapy. After 6 of hours of fluid resuscitation, hemodynamic status and volume status of the patient was assessed. Patients were classified as Volume Responders or Non-responders depending on hemodynamic stabilization using parameters like MAP. Re- assessment of all the variables was done at 24 hours and 72 hours after admission. The primary outcome was persistent AKI after 72hrs. The secondary outcome was initiation of dialysis and death within 15 days of admission.</p> <p>34 subjects recovered from AKI. 32 patients showed volume response with respect to hemodynamic parameters and 31 patients were non-responders. Response to fluid, MAP at admission, MAP after 6 hours, BE at admission, inotrope requirement, and PVI at admission did not correlate with recovery of AKI. RI, RVI and S Cr at admission significantly correlated with recovery from AKI These 3 parameters were evaluated further to develop the model for predicting recovery from AKI.• Score> 7.8 predicted recovery from AKI with sensitivity of 79.4%, specificity of 72.4%. PPV 81.8% and NPV 76.7%. PASS Score>7.8 had AUROC of 0.85.</p> <p>Multiple logistic regression showed that SCr< 2.36 mg%, RVI > 14.45 and RI < 0.8 on admission correlated with recovery.</p> <p>PASS SCORE Formula was created using the same.</p> <p>CONCLUSION: PASS score can be a simple bed side method to reliably identify salvageable cases of sepsis-AKI, guiding fluid resuscitation and also aiding early referrals from rural to higher centers for better management.</p>
Evaluation set DCASE 2023 task 4 (for submissions)
<p>This repo contains the dataset to download to submit results and be evaluated in task 4 of DCASE 2023. It also contains the ground-truth for the public and synthetic evaluation dataset, together with the mapping file between the anonymized (official eval) file names and the files name as presented in the annotations.</p> <p>Please, check the submission package in order to follow the instruction to have a submission.</p>
A Comprehensive Evaluation of Q-Learning Based Automatic Web GUI Testing
<p>This repository holds experimental data and figures of our paper "A Comprehensive Evaluation of Q-Learning Based Automatic Web GUI Testing" in 10th International Conference on Dependable Systems and Their Applications (DSA) 2023.</p>
Evaluation of archival HIV DNA in brain and lymphoid tissues
<p>HIV reservoirs persist in anatomic compartments despite antiretroviral therapy (ART). Characterizing HIV reservoirs in central nervous system (CNS) and other tissues is crucial to inform cure strategies. We evaluated paired autopsy brain – frontal cortex (FC), occipital cortex (OCC), basal ganglia (BG) – and peripheral lymphoid tissues from 63 people with HIV. Participants passed away while virally suppressed on ART and without evidence of CNS opportunistic disease. We quantified HIV DNA and, from a subset of 14 participants, we obtained full-length HIV-envelope (FL HIV-env) sequences. We detected HIV DNA (<em>gag</em>) in most brain (65.1%) and all lymphoid tissues. Lymphoid tissues had higher HIV DNA levels compared to brain (p<0.01). Levels of HIV <em>gag</em> between BG and FC were similar (p>0.2), while OCC had the lowest levels (p=0.01). Females had higher HIV DNA levels in tissues than males (<em>gag</em>: p=0.03; 2-LTR, p=0.05), suggesting possible sex-associated mechanisms for HIV reservoir persistence. Most FL HIV-env sequences (n=143) were intact, while 42 were defective. Clonal sequences were found in eight participants; one participant had the same clonal defective sequences in brain and spleen, suggestive of cell migration. From 10 donors with paired brain and lymphoid sequences, we observed evidence of compartmentalized sequences in two participants. Our data contribute to the idea that the brain is a site for HIV reservoirs during ART where compartmentalized proviral populations may occur in a subset of people. Future studies accessing FL HIV-provirus and replication competence in vitro are needed to further evaluate the HIV reservoirs' composition in tissues.</p>
An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph
<p>News headline to event classes corpus derived from Wikidata.</p> <p>Github: https://github.com/mbouadeus/news-headline-event-linking</p>
Freebase Datasets for Robust Evaluation of Knowledge Graph Link Prediction Models
<p><strong>Freebase</strong> is amongst the largest public cross-domain knowledge graphs. It possesses three main data modeling idiosyncrasies. It has a strong <strong>type system</strong>; its properties are purposefully represented in <strong>reverse pairs</strong>; and it uses <strong>mediator objects</strong> to represent multiary relationships. These design choices are important in modeling the real-world. But they also pose nontrivial challenges in research of embedding models for knowledge graph completion, especially when models are developed and evaluated agnostically of these idiosyncrasies. We make available several variants of the Freebase dataset by inclusion and exclusion of these data modeling idiosyncrasies. This is the first-ever publicly available <strong>full-scale</strong> Freebase dataset that has gone through <strong>proper preparation</strong>. </p><p> </p><p>Dataset Details</p><p>The dataset consists of the four variants of Freebase dataset as well as related mapping/support files. For each variant, we made three kinds of files available:</p><ul><li>Subject matter triples file<ul><li><i>fb+/-CVT+/-REV</i> One folder for each variant. In each folder there are 5 files: train.txt, valid.txt, test.txt, entity2id.txt, relation2id.txt Subject matter triples are the triples belong to subject matters domains—domains describing real-world facts.<ul><li>Example of a row in train.txt, valid.txt, and test.txt: <ul><li>2, 192, 0</li></ul></li><li>Example of a row in entity2id.txt:<ul><li>/g/112yfy2xr, 2</li></ul></li><li>Example of a row in relation2id.txt:<ul><li>/music/album/release_type, 192</li></ul></li><li>Explaination<ul><li>"/g/112yfy2xr" and "/m/02lx2r" are the MID of the subject entity and object entity, respectively. "/music/album/release_type" is the realtionship between the two entities. 2, 192, and 0 are the IDs assigned by the authors to the objects.</li></ul></li></ul></li></ul></li><li>Type system file<ul><li><i>freebase_endtypes</i>: Each row maps an edge type to its required subject type and object type.<ul><li>Example<ul><li>92, 47178872, 90</li></ul></li><li>Explanation<ul><li>"92" and "90" are the type id of the subject and object which has the relationship id "47178872".</li></ul></li></ul></li></ul></li><li>Metadata files<ul><li><i>object_types</i>: Each row maps the MID of a Freebase object to a type it belongs to.<ul><li>Example<ul><li>/g/11b41c22g, /type/object/type, /people/person</li></ul></li><li>Explanation<ul><li>The entity with MID "/g/11b41c22g" has a type "/people/person"</li></ul></li></ul></li><li><i>object_names</i>: Each row maps the MID of a Freebase object to its textual label.<ul><li>Example<ul><li>/g/11b78qtr5m, /type/object/name, "Viroliano Tries Jazz"@en</li></ul></li><li>Explanation<ul><li>The entity with MID "/g/11b78qtr5m" has name "Viroliano Tries Jazz" in English.</li></ul></li></ul></li><li><i>object_ids</i>: Each row maps the MID of a Freebase object to its user-friendly identifier.<ul><li>Example<ul><li>/m/05v3y9r, /type/object/id, "/music/live_album/concert"</li></ul></li><li>Explanation<ul><li>The entity with MID "/m/05v3y9r" can be interpreted by human as a music concert live album.</li></ul></li></ul></li><li><i>domains_id_label</i>: Each row maps the MID of a Freebase domain to its label.<ul><li>Example<ul><li>/m/05v4pmy, geology, 77</li></ul></li><li>Explanation<ul><li>The object with MID "/m/05v4pmy" in Freebase is the domain "geology", and has id "77" in our dataset.</li></ul></li></ul></li><li><i>types_id_label</i>: Each row maps the MID of a Freebase type to its label.<ul><li>Example<ul><li>/m/01xljxh, /government/political_party, 147</li></ul></li><li>Explanation<ul><li>The object with MID "/m/01xljxh" in Freebase is the type "/government/political_party", and has id "147" in our dataset.</li></ul></li></ul></li><li><i>entities_id_label</i>: Each row maps the MID of a Freebase entity to its label.<ul><li>Example<ul><li>/g/11b78qtr5m, Viroliano Tries Jazz, 2234</li></ul></li><li>Explanation<ul><li>The entity with MID "/g/11b78qtr5m" in Freebase is "Viroliano Tries Jazz", and has id "2234" in our dataset.</li></ul></li><li><i>properties_id_label</i>: Each row maps the MID of a Freebase property to its label.<ul><li>Example<ul><li>/m/010h8tp2, /comedy/comedy_group/members, 47178867</li></ul></li><li>Explanation<ul><li>The object with MID "/m/010h8tp2" in Freebase is a property(relation/edge), it has label "/comedy/comedy_group/members" and has id "47178867" in our dataset.</li></ul></li></ul></li><li><i>uri_original2simplified</i> and <i>uri_simplified2original</i>: The mapping between original URI and simplified URI and the mapping between simplified URI and original URI repectively.<ul><li>Example<ul><li><i>uri_original2simplified</i><ul><li>"<a href="http://rdf.freebase.com/ns/type.property.unique">http://rdf.freebase.com/ns/type.property.unique</a>": "/type/property/unique"</li></ul></li><li><i>uri_simplified2original</i><ul><li>"/type/property/unique": "<a href="http://rdf.freebase.com/ns/type.property.unique">http://rdf.freebase.com/ns/type.property.unique</a>"</li></ul></li></ul></li><li>Explanation<ul><li>The URI "<a href="http://rdf.freebase.com/ns/type.property.unique">http://rdf.freebase.com/ns/type.property.unique</a>" in the original Freebase RDF dataset is simplified into "/type/property/unique" in our dataset.</li><li>The identifier "/type/property/unique" in our dataset has URI <a href="http://rdf.freebase.com/ns/type.property.unique">http://rdf.freebase.com/ns/type.property.unique</a> in the original Freebase RDF dataset.</li></ul></li></ul></li></ul></li></ul></li></ul>
Java Compiler Performance Evaluation
<p>A data set containing 7 Java projects for evaluating performance of Java compilers. Included are OracleJDK version 8.0.351, 9.0.4, 10.0.2 and 11.0.17 as well as ExtendJ version 8, 9, 10 and 11. ExtendJ is an open-source Java compiler, more information can be found here: https://extendj.org/ </p> <p>The included scripts measure the memory use and compilation times for these compilers when compiling the projects. Creating this data set was part of a master's thesis at Lund University.</p> <p> </p>
Tailored machine learning for evaluating the long-term diabetes risk in older individuals: Findings from The Irish Longitudinal Study on Ageing (TILDA)
<p>The original data for "Tailored machine learning for evaluating the long-term diabetes risk in older individuals: Findings from The Irish Longitudinal Study on Ageing (TILDA)" that published in BMJ Open.</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.