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870 results for “Model development”
Research carried out on the Brazilian coast that deals with modeling sea level rise, and the methodologies applied in development.
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Data for "Development and Evaluation of a New Correlated K-distribution Scheme for BCC_RAD Radiative Transfer Model"
<p>Data and matlab scripts for plotting.</p>
Supplemental material from: Can transcranial direct current stimulation enhance post-stroke motor recovery? Development of a theoretical patient-tailored model
<p>New treatments that can facilitate neural repair and reduce persistent impairments have significant value in promoting recovery following stroke. One technique that has gained interest is transcranial direct current stimulation (tDCS) as early research suggested it could enhance plasticity and enable greater behavioral recovery. However, several studies have now identified substantial inter-subject variability in response to tDCS and clinical trials revealed insufficient evidence of treatment effectiveness. A possible explanation for the varied and negative findings is that the physiological model of stroke recovery that researchers have used to guide the application of tDCS based treatments in stroke is overly simplistic and does not account for stroke heterogeneity or known determinants that affect the tDCS response. <a name="_Hlk62139152">Here, we propose that tDCS could have a more clearly beneficial role in enhancing stroke recovery</a> if greater consideration is given to individualizing treatment. By critically reviewing the proposed mechanisms of tDCS, stroke physiology across the recovery continuum, and known determinants of tDCS response, we propose a new, theoretical, patient-tailored approach to delivering tDCS after stroke. The proposed model includes a step-by-step principled selection strategy for identifying optimal neuromodulation targets and outlines key areas for further investigation. Tailoring tDCS treatment to individual neuroanatomy and physiology is likely our best chance at producing robust and meaningful clinical benefit for people with stroke and would, therefore, accelerate opportunities for clinical translation.</p>
Dataset related to article "Development of a 3D ex vivo model of brain-leukemia interaction to study the role of Activin A in the Central Nervous System microenvironment"
<p>Excel file related to the article</p>
Dataset related to article "Neonicotinoid pesticides affect developing neurons in experi-mental mouse models and in human induced pluripotent stem cell (iPSC)-derived neural cultures and organoids"
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Neonicotinoid pesticides affect developing neurons in experi-mental mouse models and in human induced pluripotent stem cell (iPSC)-derived neural cultures and organoids
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Replication package for "A Model of Demonstrated Inexpertise of Software Developers"
<p>Replication package for "A Model of Demonstrated Inexpertise of Software Developers"</p>
Figure 5 from: Tzankova D, Peikova L, Vladimirova S, Georgieva M (2019) Development and validation of RP-HPLC method for stability evaluation of model hydrazone, containing a pyrrole ring. Pharmacia 66(3): 127-134. https://doi.org/10.3897/pharmacia.66.e47035
Figure 5 Chromatogram of the separated mixture of the analyzed hydrazone D-5d (tR = 6.800) and its possible degradation products – the hydrazide D-5 (tR = 4.387) and the corresponding aldehyde d (tR = 1.387).
Figure 7 from: Tzankova D, Peikova L, Vladimirova S, Georgieva M (2019) Development and validation of RP-HPLC method for stability evaluation of model hydrazone, containing a pyrrole ring. Pharmacia 66(3): 127-134. https://doi.org/10.3897/pharmacia.66.e47035
Figure 7 Chromatograms indicating the behavior of D_5d in the presence of buffer with pH 2.0 and at 37°C at 0th min (A) and at 30th min (B).
Figure 4 from: Tzankova D, Peikova L, Vladimirova S, Georgieva M (2019) Development and validation of RP-HPLC method for stability evaluation of model hydrazone, containing a pyrrole ring. Pharmacia 66(3): 127-134. https://doi.org/10.3897/pharmacia.66.e47035
Figure 4 Chromatogram of standard solution of the aldehyde d (tR = 1.283) as possible degradation product.
Figure 3 from: Tzankova D, Peikova L, Vladimirova S, Georgieva M (2019) Development and validation of RP-HPLC method for stability evaluation of model hydrazone, containing a pyrrole ring. Pharmacia 66(3): 127-134. https://doi.org/10.3897/pharmacia.66.e47035
Figure 3 Chromatogram of standard solution of the hydrazide D-5 (tR = 4.380) as possible degradation product.
Figure 8 from: Tzankova D, Peikova L, Vladimirova S, Georgieva M (2019) Development and validation of RP-HPLC method for stability evaluation of model hydrazone, containing a pyrrole ring. Pharmacia 66(3): 127-134. https://doi.org/10.3897/pharmacia.66.e47035
Figure 8 Chromatograms indicating the behavior of D_5d in the presence of buffer with pH 9.0 and at 37°C at 0th min (A) and at 210th min (B).
Figure 9 from: Tzankova D, Peikova L, Vladimirova S, Georgieva M (2019) Development and validation of RP-HPLC method for stability evaluation of model hydrazone, containing a pyrrole ring. Pharmacia 66(3): 127-134. https://doi.org/10.3897/pharmacia.66.e47035
Figure 9 Chromatograms indicating the behavior of D_5d in the presence of buffer with pH 13.0 and at 37°C at 0th min (A) and at 30th min (B).
Dataset to develop the Generalized Linear Models in "THE CRITICAL ROLE OF HYDROLOGICAL DISTANCE IN SHAPING NUTRIENT DYNAMICS ALONG THE WATERSHED-LAKE CONTINUUM"
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Dataset: Timing the emergence and development of arable farming in Southeastern Norway by using summed probability distribution of radiocarbon dates and a Bayesian age model
<p>The repository contains radiocarbon data and code for the paper</p> <p>TIMING THE EMERGENCE AND DEVELOPMENT OF ARABLE FARMING IN 7 SOUTHEASTERN NORWAY BY USING SUMMED PROBABILITY DISTRIBUTION 8 OF RADIOCARBON DATES AND A BAYESIAN AGE MODEL</p> <p>Published in Radiocarbon 2021 (DOI:10.1017/RDC.2021.80) </p> <p>ABSTRACT. The paper explores the emergence and development of arable farming in southeastern Norway by 12 compiling and analyzing directly dated cereals from archaeological contexts. By using summed probability 13 distributions of radiocarbon dates and Bayesian modeling, the paper presents the first comprehensive analysis of 14 the directly dated evidence for farming in the region. The models provide a more precise temporal resolution to 15 the development than hitherto presented. The results demonstrate that the introduction of arable farming to 16 southeastern Norway was a long-term development including several steps. Three different stages are pointed out 17 as important in the process of establishing arable farming: the Early and Middle Neolithic, the Late Neolithic, and 18 the Early Iron Age.</p>
Development of an in vitro model of the gut microbiota enriched in mucus-adhering bacteria
<p>16S rRNA gene sequencing data in FASTQ format</p>
Replication package for the paper "Family Resources and Children's Skills: Development of a Skills Attainment Model"
<p>Replication package for the paper “Family Resources and Children’s Skills: Development of a Skills Attainment Model”. The package contains the Stata code for the data preparation and the Mplus code for the analyses performed in the paper. </p> <p>The used data set is available in the highly secure environment of Statistics Netherlands. To gain access, a number of steps must be completed, which can be found on the following website: <a href="https://www.cbs.nl/en-gb/our-services/customised-services-microdata/microdata-conducting-your-own-research">https://www.cbs.nl/en-gb/our-services/customised-services-microdata/microdata-conducting-your-own-research</a>.</p>
Data supporting "Modeling and evaluating the effects of irrigation on land-atmosphere interaction in southwestern Europe with the regional climate model REMO2020-iMOVE using a newly developed parameterization"
<p>This data supports the analysis of the manuscript Asmus et al. 2023 "Modeling and evaluating the effects of irrigation on land-atmosphere interaction in southwestern Europe with the regional climate model REMO2020-iMOVE using a newly developed parameterization".</p><p><strong>Simulation data</strong></p><p>The simulation data is created with REMO2020-iMOVE using the new irrigation parameterization. The results are saved as NetCDF files with monthly mean values and/or time series (hourly) of single variables for the analysis period. A list of the simulations can be found below.</p><p><strong>Observation data </strong></p><p>The observation data is published with the kind permission of ISPRA which hosts the SCIA database (www.scia.isprambiente.it). If you use this data, please make sure to include the following data source:<br>SCIA by ISPRA - Area Climatologia operativa - Via V. Brancati 48 00144 Roma. <br>We downloaded monthly mean values for the variables T2Max, T2Min and T2Mean from <a href="http://193.206.192.214/servertsutm/serietemporali100.php">http://193.206.192.214/servertsutm/serietemporali100.php </a>(last accessed on 14/10/2022) to verify the model results with and without irrigation parameterization. </p><p>By untarring the tarballs, the data structure is created that is necessary to execute the analysis scripts.</p><p>For more information or additional data please contact the author.</p><p> </p><p><strong>tarball | exp_number | description </strong></p><p>067015.tar.gz | 067015 | not irrigated</p><p>067016.tar.gz | 067016 | irrigated with "adaptive water application scheme"</p><p>067017.tar.gz | 067017 | irrigated with "adaptive water application scheme"</p><p>067019.tar.gz | 067019 | irrigated with "flexible time water application scheme"</p><p>067020.tar.gz | 067020 | irrigated with "prescribed water application scheme"</p><p>observation_scia.tar | - | observation data from SCIA </p><p> </p><p><strong>Data structure for simulation data</strong></p><p>\<exp_number><br> \monthly<br> \hourly<br> \var_series<br> \<variable><br><br>Note:<br>\067015 includes static variables<br> \irrifrac (irrigated fraction)<br> \bla (land-sea-mask)</p>
Development of Perioperative Delirium Prediction Model
ClinicalTrials.gov study NCT06685263. IPD Sharing: NO. Countries: 0. Publications: 2.
Developing Models for Fatigue Monitoring in Obstetrics and Gyne- Cology Residents Using Wearables
ClinicalTrials.gov study NCT03354871. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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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.