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11,177 results for “identify”
FIGURE1. Map showing the sampling localities and distribution of all valid Korean species identified and described so far. The black line between Stations 6a and 6b represents a man-made road with no gap for water entry from either side. Stations 1 to 15 refer to the study sites in Vakati et al. (2019), station 16 refers to the study site in Kim et al. (2017). in -On- two- new- species- of- Nannopus- Brady,- 1880- (Copepoda:- Harpacticoida Nannopodidae)-from-intertidal-mudflats-of-the-Korean-west-coast-(Yellow-Sea)
FIGURE1. Map showing the sampling localities and distribution of all valid Korean species identified and described so far. The black line between Stations 6a and 6b represents a man-made road with no gap for water entry from either side. Stations 1 to 15 refer to the study sites in Vakati et al. (2019), station 16 refers to the study site in Kim et al. (2017).
Translational data and metadata identifier scheme (Diagram)
<p>To manage the complex translational medicine data landscape this identifier scheme is developed, which uniquely tags every study participant, each collected biospecimen, and its assay by SUBJECT_ID, SAMPLE_ID, and EXPERIMENT_ID respectively. This scheme enables the connection between the clinical data tagged with the SUBJECT_ID to the biospecimen and molecular data, tagged with SAMPLE_ID and EXPERIMENT_ID respectively.</p>
Identifiers in source code extracted from 13,000,000 public GitHub repositories (October 2016)
<p>101 files, indexed LZO archives for Hadoop/Spark.<br> Each file is text lines with the format:</p> <p>(‘<GitHub repo name>', [(‘<name>', <count>),(‘<name>', <count>),(‘<name>', <count>)])</p> <p> </p>
Databases for "A multiscale approach to identify key factors determining rural WaSH service level and sustainability" (ShinyApp). Application to SIASAR conceptual model v1, outputs obtained from Nicaragua, Honduras, Panama and Dominican Republic SIASAR databases (last accessed: December 21, 2016)".
<p>Attached databases contain the results obtained by applying the SIASAR composite indicators v1 (available at http://upcommons.upc.edu/handle/2117/77587) to data presented in http://doi.org/10.5281/zenodo.571351</p> <p>These files can be directly exploited by using the ShinyApp “A multiscale approach to identify key factors determining rural WaSH service level and sustainability”.</p> <p>Each *.csv file contains one country's database. </p>
VAMDC extraction with identifier = 5c91e7c7-e0c9-474f-b76a-62bff7b38468
<div>This is a dataset extracted from http://vamdc.icb.cnrs.fr/gecasda/tap/ VAMDC node.</div><div>Query originating this dataset: query=select * where ( inchikey in ['quzpnffhzprkjd-aklpvkdbsa-n', 'quzpnffhzprkjd-bjudxgsmsa-n', 'quzpnffhzprkjd-igmarmgpsa-n', 'quzpnffhzprkjd-oiobtwansa-n', 'quzpnffhzprkjd-oubtzvsysa-n'] ); </div><div> Data source version: 1</div><div>Data format: XSAMS 12.07</div><div>Query uuid in VAMDC query store: 5c91e7c7-e0c9-474f-b76a-62bff7b38468</div>
VAMDC extraction with identifier = 6609d3b9-0ecd-4cda-9693-8aed0f044d7c
<div>This is a dataset extracted from http://vald.astro.uu.se/atoms-12.07/tap/ VAMDC node.</div><div>Query originating this dataset: query=select * where ( IonCharge = '1' ) </div><div> Data source version: 2018-04-04</div><div>Data format: XSAMS 12.07</div><div>Query uuid in VAMDC query store: 6609d3b9-0ecd-4cda-9693-8aed0f044d7c</div>
VAMDC extraction with identifier = 17053a9a-e56e-451b-9bd2-8e0cddda0d5d
<div>This is a dataset extracted from http://stark-b.obspm.fr/12.07/vamdc/tap/ VAMDC node.</div><div>Query originating this dataset: query=select * where ( atomsymbol = 'li' and ioncharge = 0 ); </div><div> Data source version: 2017-06-23</div><div>Data format: XSAMS 12.07</div><div>Query uuid in VAMDC query store: 17053a9a-e56e-451b-9bd2-8e0cddda0d5d</div>
VAMDC extraction with identifier = 9ca8e9a9-b6d7-4f5e-a510-13cb8bf4b759
<div>This is a dataset extracted from http://vamdc.icb.cnrs.fr/mecasda-12.07/tap/ VAMDC node.</div><div>Query originating this dataset: query=select species; </div><div> Data source version: 1</div><div>Data format: XSAMS 12.07</div><div>Query uuid in VAMDC query store: 9ca8e9a9-b6d7-4f5e-a510-13cb8bf4b759</div>
VAMDC extraction with identifier = 955c9268-d40a-4427-9bea-7b715f978769
<div>This is a dataset extracted from http://vald.astro.uu.se/atoms-12.07/tap/ VAMDC node.</div><div>Query originating this dataset: query=select * where ( atomsymbol = 'he' and radtranswavelength < 600 and radtranswavelength > 500 ); </div><div> Data source version: 2018-04-04</div><div>Data format: XSAMS 12.07</div><div>Query uuid in VAMDC query store: 955c9268-d40a-4427-9bea-7b715f978769</div>
Nicosia, Cyprus. Building identified as the ruins of the Lusignan palace.
<p>Nicosia, Cyprus. Building identified as the ruins of the Lusignan palace, demolished in the early 20th century (see Gunnnis, Historic Cyprus, p. 58) with the tracery removed to the <a href="https://zenodo.org/search?q=keywords%3A%22Orta%C3%A7a%C4%9F+Ta%C5%9F+Eserler+M%C3%BCzesi%22">Ortaçağ Taş Eserler Müzesi</a><a href="https://zenodo.org/search?q=keywords%3A%22Lefko%C5%9Fa%22">, Lefkoşa.</a></p>
Supp. Info. and Data for Forensic analysis of novel SARS2r-CoV identified in game animal datasets in China shows evolutionary relationship to Pangolin GX CoV clade and apparent genetic experimentation
<p>Supplementary Info. and Data to accompany: Forensic analysis of novel SARS2r-CoV identified in game animal datasets in China shows evolutionary relationship to Pangolin GX CoV clade and apparent genetic experimentation</p> <p>Supp_Info_2.xlsx</p> <p>Supp_Info_3.xlsx</p> <p>Supp. Data:</p> <p>Novel GX_ZC45r-CoV genome: GX_ZC45r-CoV.fa</p> <p>Gap filled GX_ZC45r-CoV genome: GX_ZC45-CoV_ZC45_gap_filled_no_polyA.fa</p> <p>Read alignments to gap filled GX_ZC45r-CoV genome using minimap2: GX_ZC45-CoV_ZC45_gap_filled_no_polyA_minimap2_16_SRA.sam</p> <p> </p>
Extreme temperatures help in identifying thresholds in phenological responses
<p>Aim: To investigate temperature drivers of the spring phenology of 12 flowering events and 6 leafing events. Boreal phenology has previously exhibited only a modest response to temperature but record breaking temperatures in March 2020 led to some extreme phenological timing and provided the opportunity for a more rigorous look at the nature and complexity of the relationship between temperature and phenology.</p> <p>Location: Boreal habitat in the Tatarstan Republic of Russia</p> <p>Time period: 1989-2020</p> <p>Major taxa studied: 18 plant species</p> <p>Methods: We examined for changes over time in the timing of phenological events and the relationship with temperature drivers using a range of regression techniques. Extreme temperatures caused some extreme phenology and visually suggested temperature thresholds which were investigated using segmented regression (broken stick models). The performance of these models was subsequently compared to more complex alternatives based on accumulated daily temperatures.</p> <p>Results: Temperatures in March 2020 were the warmest for this month in a record covering 200 years and were 5.9°C above the 1989-2020 average. Significant advances over time were detected for only seven of the events, but all events demonstrated significant relationships with temperature variables. Segmented regression identified significant temperature thresholds for 13 of the events with substantially stronger temperature relationships above these thresholds. Segmented regressions outperformed models based on accumulated daily temperatures for 12 of 18 events.</p> <p>Main conclusions: The threshold models were a significant improvement over a linear response to temperature for 13 of the 18 events. The presence of thresholds partly explains why the response of boreal phenology to temperature previously seemed lower than in, for example, Western Europe. Responses to temperature above the identified thresholds were closer to those widely published from milder locations.</p>
Multi-ancestry meta-analysis of host genetic susceptibility to tuberculosis identifies shared genetic architecture
<p><span>The heritability of susceptibility to tuberculosis disease (TB) has been well recognized. Over one-hundred genes have been studied as candidates for TB susceptibility, and several variants were identified by genome-wide association studies (GWAS), but few replicates. We established the International Tuberculosis Host Genetics Consortium (ITHGC) to perform a multi-ancestry meta-analysis of GWAS including 14,153 cases and 19,536 controls of African, Asian, and European ancestry. Our analyses demonstrate a substantial degree of heritability (pooled polygenic h<sup>2</sup>=26.3% 95% CI 23.7–29.0%) for susceptibility to TB that is shared across ancestries, highlighting an important host genetic influence on disease. We identified one global host genetic correlate for TB at genome-wide significance (p < 5x10<sup>-8</sup>) in the human leukocyte antigen (HLA)-II region (rs28383206, p-value = 5.2x10<sup>-9</sup>). These data demonstrate the complex shared genetic architecture of susceptibility to TB and the importance of large-scale GWAS analysis across multiple ancestries experiencing different levels of infection pressures. </span></p>
A framework for 210Pb model selection and its application to 37 cores from Eastern Canada to identify the dynamics and drivers of lake sedimentation rates
<ul> <li>Radioisotopic and ancillary data (i.e., estimated temperature, precipitation and population in lake watersheds)</li> <li>R-code script used in the establishment of 210Pb framework along with example spreadsheet</li> </ul> <p>Original publication: Baud, A., Aulard, C., Ghanbari, H., Fradette, M., Antoniades, D., Del Giorgio, P., Huot, Y., Francus, P., Smol, J. & Gregory‐Eaves, I. (2022). A framework for 210Pb model selection and its application to 37 cores from Eastern Canada to identify the dynamics and drivers of lake sedimentation rates. Earth Surface Processes and Landforms. https:</p>
Associated code and data for "A network medicine approach for identifying diagnostic and prognostic biomarkers and exploring drug repurposing in human cancer (doi: 10.1016/j.csbj.2022.11.037)"
<p>This deposit contains the latest data, code, and analysis to recreate the results in the manuscript "A network medicine approach for identifying diagnostic and prognostic biomarkers and exploring drug repurposing in human cancer". Computational and Structural Biotechnology Journal 2023. <a href="https://www.researchgate.net/publication/365864472_A_network_medicine_approach_for_identifying_diagnostic_and_prognostic_biomarkers_and_exploring_drug_repurposing_in_human_cancer">DOI: 10.1016/j.csbj.2022.11.037</a>. </p> <p>If you use the code or data from this repository, please cite our publication.</p> <p> </p>
Dataset and code for 'AI-based Knowledge Extraction from the Bioprinting Literature for identifying technology trends'
<p>Zip file containing the dataset and code for the paper 'AI-based Knowledge Extraction from the Bioprinting Literature for identifying technology trends'. The dataset is composed of:</p> <ul> <li>A train_data.csv file, containing all annotated keywords used for classifier training.</li> <li>A filt_ls.pkl file, containing the sentences used to train the embeddings model.</li> <li>A train.py file, to train the composite keyword annotation model.</li> </ul> <p>The authors acknowledge the supported by the European Union’s Horizon 2020 research and innovation program under the project GIOTTO: “Giotto: Active ageing and osteoporosis: The next challenge for smart nanobiomaterials and 3D technologies,” grant agreement no. 814410.</p>
Experimental meterials for "Identifying Lines and Interpreting Vertical Jumps in Eye Tracking Studies of Reading Text and Code"
<p>Experimental materials for the paper "Identifying Lines and Interpreting Vertical Jumps in Eye Tracking Studies of Reading Text and Code" published in the ACM Transactions on Applied Perception.</p> <p>Includes the texts used in the eye tracking experiments, the data collected by the eye tracker for all the participants, the Python script used to analyze the data, and the graphs produced by this script.</p>
Identifying neprilysin-inhibiting FDA approved drugs as possible risk factors for Alzheimer's disease
<p>Although Alzheimer’s disease is the most common type of dementia, unfortunately, safe and effective treatments that could slow the progress of this progressive neurodegenerative disease are still lacking. This amplifies the importance of preventing this disease and, thus, identifying its risk factors. It has already been known that various drugs may increase the risk for Alzheimer’s disease. Here, we searched for approved drugs that may increase this risk through inhibiting neprilysin. Neprilysin is the rate-limiting enzyme in the amyloid beta clearance pathway and is even able to catalyze unphysiologically large amount of amyloid beta. Inhibitors of neprilysin may increase the risk of Alzheimer’s disease and exacerbate its progress via increasing the amounts of the accumulated amyloid beta and its secondary products.</p> <p>In this study, after predicting the blood-brain barrier (BBB) penetration of approved drugs and their metabolites, we used various computational tools to identify potential inhibitors of neprilysin among them. These tools included various structure-based approaches like docking with AutoDockZn, PLANTS, FlexX, Fitted, Molegro, and Flare and rescoring with these scoring functions: Convex-PL, GNINA, JamdaScorer, KORP-PL, RF-Score-VS, Rank Score, dG, VScore. The reliability of these methods was assessed by investigating the correlations of their predictions with experimental measurements. We also used these ligand-based approaches: 2D-QSAR modelling and similarity comparison based on feature trees.</p> <p>These <em>in silico</em> tools suggested that several drugs deserve to be further investigated beacuase of their considerable binding affinity to neprilysin and BBB penetration: aripiprazole, etoricoxib, nabumetone, fentiazac, clorotepine, pitolisant, and chloroquine. Other drugs whose BBB penetration were not predicted to be much high yet their chronic or common use may lead to consequential inhibition of neprilysin can be added to this list, like glyburide, lisinopril, cilazapril, fosinopril, prucalopride, ibersartan, valsartan, and montelukast. Further investigations, including <em>in vitro</em>, animal, and human investigations, can help mitigate the huge and rising societal and economic burden of Alzheimer’s disease globally.</p>
Identifying the core components and items to measure health workers' cultural competence in the Ethiopian context
<p>Abstract</p> <p>Background: Cultural competence (CC) is a crucial attribute in attaining quality healthcare service outcomes, mitigating malfunctioning practices, and improving patients’ satisfaction. Studies suggested comprehensive CC assessment requires appraising existing CC tools to measure health workers’ CC in the Ethiopian context. Selecting existing CC tools, identifying sub-constructs, pinpointing demographic characteristics, and evaluating items are the study objectives.</p> <p>Methods: 20 cultural competence tools of 20 to 83 items, 1-5 sub-constructs, and 4–10 Likert-Type rating options were identified, to be rated by eight experts in three groups. Consensus based Standards for the selection of health Measurement INstruments (COSMIN) and test construction literature are used to develop raters rating codes to compute Inter-Raters Reliability (IRR). The first group of three experts was rated to decide the inclusion of CC tools, factors, and demographic information. The second group of three experts selected six CC tools and 65 items. Two experts in the third group further evaluated the selected items.</p> <p>Results: Reliability for the inclusion of CC tools, factors, and demographic variables were found to be 75%–87%, 50%–93%, and 50%–86% respectively. 13 items that violate test construction principles like absoluteness, endorsement, proneness to multiple interpretation, ambiguity, and double barring were excluded. Cultural skill, cultural knowledge, and cultural awareness are the three most common sub-constructs. Cultural sensitivity, cultural desire, and cultural encounters are the least incorporated factors. Gender, age, language, department, patients encounter, education, and cultural diversity training are demographic variables to assess health workers' CC.</p> <p>Conclusions: Items of CC instruments cover cognitive, affective, and skill domains as prominent dimensions of CC tools. The reviewed tools consist of items that violate test construction principles. To conduct CC assessment in the Ethiopian context, apart from refining and validating selected items, generating additional items is recommended.</p>
Identifying environmentally-comparable cities across the globe for urban ecology studies
<p>Defining a comprehensive and quantitative framework for comparing urban areas is a priority for conducting research in urban ecology and related fields. In this study, we use unsupervised learning on a matrix of climate- and human-related features to estimate the number of groups explaining the characteristics of ~6,000 cities across the globe. Using estimates of city-level stability within clusters, we estimate that cities can be clustered in 5–7 clusters, with 6 being the most likely and stable number of groups. Groups of cities are primarily defined by climatic and geographical features (e.g. elevation), with population-level and land use parameters being less relevant for structuring cities. City clusters generally correspond with a continental-based partitioning. However, geographic distances between cities do not necessarily reflect their position in the examined multivariate space. The analytical framework presented in this paper can be extended to accounting for alternative features to describing cities and their characteristics. We implement an online web application for comparing cities across the globe based on the results presented in this study. This application is expected to inform decisions on where to sample populations or species in cities with either similar or divergent climatic conditions.</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.