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9,882
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9,882 results for “Scale”
Concerted epithelial and stromal changes during progression of Barret’s Esophagus to invasive adenocarcinoma exposed by multi-scale, multi-omics analysis
GEO Series GSE251990. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing.
NPTX2, Homeostatic Scaling, and Schizophrenia
GEO Series GSE150671. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Comparative genome-scale analysis of Pichia pastoris variants informs selection of an optimal base strain
GEO Series GSE135666. Komagataella phaffii. 174 samples. Type: Expression profiling by high throughput sequencing.
In vivo Genome-scale CRISPR-Cas9 knockout screening
GEO Series GSE125201. Mus musculus. 4 samples. Type: Other.
The proportional scaling of mRNA and ribosome concentrations controls eukaryotic cell growth [Spike-in_RNAseq]
GEO Series GSE309990. Saccharomyces cerevisiae. 14 samples. Type: Expression profiling by high throughput sequencing.
Genome-scale DNA methylome and transcriptome profiling of midgut of Bombyx mori infected with BmCPV
GEO Series GSE313872. Bombyx mori. 8 samples. Type: Methylation profiling by high throughput sequencing.
Database (1/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'
<p>******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ******************************************************************************************************************************************************</p> <p>This database provides model inputs and outputs for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al.</p> <p>This is part 1 out of 5 of the full database.</p> <p>-input_morpho_calib contains the morphological data and the datasets used for model calibration and runs.</p> <p>-input_WFDEI contains the input datasets using meteorological variable from the WFDEI product in combination with different rainfall datasets.</p> <p>Other parts of the database can be found at:</p> <p>-Part 2: https://doi.org/10.5281/zenodo.3663063</p> <p>-Part 3: https://doi.org/10.5281/zenodo.3663065</p> <p>-Part 4: https://doi.org/10.5281/zenodo.3663069</p> <p>-Part 5: https://doi.org/10.5281/zenodo.3663071</p> <p>For further information, please contact Moctar Dembélé, mocdembele@gmail.com</p> <p> </p>
Database (5/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'
<p>******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ******************************************************************************************************************************************************</p> <p>These datasets are parts of the database for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al.</p> <p>It contains parts of the output datasets used to calibrate and run the hydrological model.</p> <p>The folders contains the model outputs when using the input data from different data providers, i.e., ERA5, EWEMBI, JRA55, MERRA, PGF.</p> <p>Check the main database at https://doi.org/10.5281/zenodo.3662308</p> <p>For further information, please contact Moctar Dembélé, mocdembele@gmail.com</p>
Database (3/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'
<p>******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ******************************************************************************************************************************************************</p> <p>These datasets are parts of the database for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al.</p> <p>It contains parts of the input datasets used to calibrate and run the hydrological model.</p> <p>Check the main database at https://doi.org/10.5281/zenodo.3662308</p> <p>For further information, please contact Moctar Dembélé, mocdembele@gmail.com</p>
Database (2/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'
<p>******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ******************************************************************************************************************************************************</p> <p>These datasets are parts of the database for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al.</p> <p>It contains parts of the input datasets used to calibrate and run the hydrological model.</p> <p>Check the main database at https://doi.org/10.5281/zenodo.3662308</p> <p>For further information, please contact Moctar Dembélé, mocdembele@gmail.com</p>
Database (4/5) for manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa'
<p>******************************************************************************************************************************************************<strong>NOTICE: </strong>all datasets and tools provided in this database can and should only be used to reproduce the original experiment for which the database was created. The use of any datasets and tools in this database is subject to third party restrictions. Before copying or using this database for other purposes than reproducing the original experiment for which it was created, please ask for adequate authorisations to the author (Moctar Dembélé, mocdembele@gmail.com), who might additionaly need the authorization of the providers of the data and the tools available in this database. ******************************************************************************************************************************************************</p> <p>These datasets are parts of the database for the manuscript 'Suitability of 17 rainfall and temperature gridded datasets for large-scale hydrological modelling in West Africa' by Dembélé et al.</p> <p>It contains parts of the output datasets used to calibrate and run the hydrological model.</p> <p>Folders:</p> <p>-inputAnalysis contains the results and the files of the analysis of the model inputs using the MATLAB software.</p> <p>-combiMeteoAnalysis contains the results and the files of the analysis of the model outputs using the MATLAB software.</p> <p>-WFDEI contains the model outputs when using the input data from the WFDEI dataset.</p> <p>Check the main database at https://doi.org/10.5281/zenodo.3662308</p> <p>For further information, please contact Moctar Dembélé, mocdembele@gmail.com</p>
Supporting information for Article "Hydrothermal carbonization for sludge disposal in Germany: A comparative assessment for industrial-scale scenarios in 2030"
<p>These supporting information files provides details of all case and scenario assumptions, scenario factors, sensitivity assumptions and factors as well as calculation results (PDF file) as well as the detailed backgound calculations (ZIP files with MS Excel Sheets) referred to in the article "Hydrothermal carbonization for sludge disposal in Germany: A comparative assessment for industrial-scale scenarios in 2030" (Journal of Industrial Ecology).</p>
Data set from Dellafiore F, Arrigoni C, Ghizzardi G, Baroni I, Conte G, Turrini F, Castiello G, Magon A, Pittella F, Caruso R. Development and validation of the pressure ulcer management self-efficacy scale for nurses. J Clin Nurs. 2019 Sep;28(17-18):3177-3188. doi: 10.1111/jocn.14875. Epub 2019 Apr 21. PMID: 30938908.
<p>Data set from Dellafiore F, Arrigoni C, Ghizzardi G, Baroni I, Conte G, Turrini F, Castiello G, Magon A, Pittella F, Caruso R. Development and validation of the pressure ulcer management self-efficacy scale for nurses. J Clin Nurs. 2019 Sep;28(17-18):3177-3188. doi: 10.1111/jocn.14875. Epub 2019 Apr 21. PMID: 30938908</p> <p> </p> <p>This is the abstract:</p> <p><strong>Background: </strong>Pressure ulcers (PUs) represent a current issue for healthcare delivery. Nurse self-efficacy in managing PUs could predict patients' outcome, being a proxy assessment of their overall competency to managing PUs. However, a valid and reliable scale of this task-specific self-efficacy has not yet been developed.</p> <p><strong>Objectives: </strong>To develop a valid and reliable scale to assess nurses' self-efficacy in managing PUs, that is, the pressure ulcer management self-efficacy scale for nurses (PUM-SES).</p> <p><strong>Methods: </strong>This study had a multi-method and multi-phase design, where study reporting was supported by the STROBE checklist (File S1). Phase 1 referred to the scale development, consisting in the items' generation, mainly based on themes emerged from the literature and discussed within a panel of experts. Phase 2 focused on a three-step validation process: the first step aimed to assess face and content validity of the pool of items previously generated (initial version of the PUM-SES); the second aimed to assess psychometrics properties through exploratory factorial analysis; the third step assessed construct validity through confirmative factorial analysis, while concurrent validity was evaluated describing the relationships between PUM-SES and an established general self-efficacy measurement. Reliability was assessed through the evaluation of stability and internal consistency.</p> <p><strong>Results: </strong>PUM-SES showed evidence of face and content validity, adequate construct and concurrent validity, internal consistency and stability. Specifically, PUM-SES had four domains, labelled as follows: assessment, planning, supervision and decision-making. These domains were predicted by the same second-order factor, labelled as PU management self-efficacy.</p> <p><strong>Conclusion: </strong>PUM-SES is a 10-item scale to measure nurses' self-efficacy in PU management. A standardised 0-100 scoring is suggested for computing each domain and the overall scale. PUM-SES might be used in clinical and educational research.</p> <p><strong>Relevance to clinical practice: </strong>Optimising nurses' self-efficacy in PU management might enhance clinical assessment, determining better outcomes in patients with PUs.</p> <p> </p>
MGMT promoter gene methylation and Neurological Scale Improvement in Glioma: a cohort study
<p><strong>Abstract</strong></p> <p><strong>Background:</strong> Glioma as one of the most common primary brain tumors remains to convey a dismal prognosis despite of aggressive treatment. Several biomarkers have been studied in hope to yield diagnostic accuracy and improve patient management. Besides of survival, functional and neurological disability is one of the concerns that have no lesser importance. In 2017, a disease-specific assessment tool – the NANO scale – was developed to measure neurologic function in neuro-oncology cases. We sought to determine biomarkers that might be associated with neurological scale improvement in glioma patients.</p> <p> </p> <p> </p> <p><strong>Methods:</strong> Glioma grade II-IV were recruited from 3 major hospitals in Jakarta-Tangerang. IDH mutation and MGMT promoter gene methylation were tested, as well as patients’ neurological scale before surgery and 3 months after. Improvement in neurological scale (NANO scale) is considered positive if there was a decrement of ≥1 of the scale.</p> <p> </p> <p><strong>Results:</strong> There were 54 patients included in the study. Mean age was 43.63 (14.723) years old, and 61.1% were male. As much as 16 (29.6%) carried a mutation in codon 132 of the IDH1 gene, and 33 (61.1%) were MGMT methylated. Median NANO Scale before and 3 months after surgery was 4 (0-12) and 3(0-12). Improvement in neurological scale was found in 44 (81.5%) of the patients. Among patients with MGMT promoter gene methylation, 90.9% shows improvement in neurological scale (p=0.035; OR=5; 95%CI 1.122-22.272).</p> <p> </p> <p><strong>Conclusions:</strong> Glioma with MGMT promoter gene methylation are more likely to show neurological scale improvement 3 months after surgery.</p>
Data Processing for a Small-Scale Long-Term Coastal Ocean Observing System Near Mobile Bay, Alabama: A Geoscience Papers of the Future (GPF) Workflow Diagram
<p>The Dauphin Island Sea Lab (DISL) has been operating a permanent moored oceanographic station at 30 05.410'N, 88 12.694'W, 25 km southwest of the entrance to Mobile Bay, Alabama, since 2004. It collects hydrographic and current velocity data.</p> <p>This diagram shows the processing steps for data from the instruments at this mooring, from initial download to initial scientific analysis.</p> <p>The file has been prepared as supplementary material for a Geoscience Paper of the Future (GPF) in prep for publication at Earth and Space Science, as part of the OntoSoft GPF Initiative.</p>
Hydro and sediment dyanamics on a laboratory scaled fringing reef: morphology simulations
<p>A laboratory experiment was conducted to investigate the dynamics of cross-shore sediment transport across a<br> fringing coral reef. The aim was to quantify how a highly bimodal spectrum of high-frequency (sea-swell) and<br> low-frequency (infragravity and seiching) waves that is typically present on coral reef flats, influences the<br> various sediment transport mechanisms. The experiments were conducted in a 55 m wave flume, using a 1:15<br> scale fringing reefmodel that had a 1:5 forereef slope, a 14 m long reef flat, and a 1:12 sloping beach. The initial<br> 7 m of reef flat had a fixed bed, whereas the back 7 m of the reef and the beach had a moveable sandy bed. Four<br> seven-hour irregular wave cases were conducted both with and without bottom roughness elements (schematically<br> representing bottom friction by coral roughness), as well as for both low and high still water levels.</p> <p>More information about this experiment is available in the methods of the associated publication (http://doi.org/10.1016/j.coastaleng.2015.01.005).</p>
DDA-GTN: large-scale drug repurposing on drug-gene-disease heterogenous association networks using graph transformers
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DDA-GTN: large-scale drug repurposing on drug-gene-disease heterogenous association networks using graph transformers
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Optimal sizing and lifetime investigation of second life lithium-ion battery for grid-scale stationary application
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Comparison of Wechsler Intelligence Scale for Children-Revised results in children diagnosed with Attention Deficit Hyperactivity Disorder with and without autism traits
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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.