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3,480 results for “a value”
Wind Value: First Conference 2022, Wind Blade Repurposing, Lawrence Bank, Video
<p>Video of 32 mins and 7 seconds, dealing with the repurposing of used wind turbine blades, by Lawrence (Larry) Bank of Georgia Tech.</p>
Wind Value: First Conference 2022, LCSA of a Pedestrian Bridge made from Wind Blades, Angie Nagle (Paul Leahy presented), Video
<p>Video of 12 mins 46 seconds, on Life Cycle Sustainability Assessment (LCSA) of a Pedestrian Bridge made from Discarded Wind Blades, written by Angie Nagle and presented by Paul Leahy, her supervisor.</p>
Toward a better understanding of curve number and initial abstraction ratio values from a large-dataset of watersheds perspective
<p>The code within this repository is founded on the analysis of the Natural Resources Conservation Service Curve Number (NRCS-CN) method and its parameters. The analyses make use of the [CARAVAN dataset and your extensios] (<a href="../records/6578598" rel="nofollow">https://zenodo.org/records/6578598</a>). The separation of streamflow into baseflow and runoff is based on the methodology established by Xie et al. (2020) (<a href="https://doi.org/10.1016/j.jhydrol.2020.124628" rel="nofollow">https://doi.org/10.1016/j.jhydrol.2020.124628</a>).</p> <p>Contained within this repository are 5 Jupyter Notebooks, each focused on the application of the NRCS-CN method using distinct data analysis approaches:</p> <ul> <li>Principal Components Analysis</li> <li>Random Forest</li> <li>NRCS-NEH</li> <li>NRCS-ASYMPTOTIC </li> <li>NRCS-LEAST-SQUARES</li> </ul> <p>Additionally, the results of the metrics from applying these methods can be found in the files Metrics_runoff_G1 and Metrics_runoff_G2. The folder Times_series contains the time series of simulated runoff using the NRCS methods.</p> <p>Channel Log: </p> <p> Version v2 - Version of the official paper release. No changes in the data but added a static copy of the accompanying code of the paper. </p> <p>Version 1.0 - In this version, the Asymptotic method was considered with natural data</p>
Data for the reproduction of figures from the DESI MWS value added catalogue paper
<p>The data to reproduce the figures from the DESI EDR MWS value added catalogue paper (Koposov et al 2024)</p>
Data for Clarkson, Dwyer, Flecknell, Leach and Rowe, 'Handling method alters the hedonic value of reward in laboratory mice'
<p>Raw data files for the paper 'Handling method alters the hedonic value of reward in laboratory mice' by Jasmine M Clarkson, Dominic M Dwyer, Paul A Flecknell, Matthew C Leach and Candy Rowe.</p>
Clinical usefulness of library and information services in Japan: The detailed use and value of information in clinical settings
<p>Abstract</p> <p><strong>Objectives</strong></p> <p>Considering that there is a lack of evidence regarding the contribution of library and information services to evidence-based medicine in actual clinical practice in Japan, the purpose of the study is to explore the current status of use and value of library and information services in clinical settings to examine the usefulness of information in implementing evidence-based medicine (EBM) into practice.</p> <p><strong>Methods</strong></p> <p>A Web-based survey was conducted at seven sites (hospitals with 300–1,200 beds) and interviews conducted at five sites to investigate information behavior among health professionals (physicians, residents, and nurses) in 2016, replicating the Value Study carried out in the United States in 2010 and 2011. Using a critical incident technique, respondents answered questions about their information topics, information resources used, search location, access points, and evaluation of the information.</p> <p><strong>Results</strong></p> <p>Analysis from 598 valid responses (275 physicians, 55 residents, and 268 nurses) revealed the characteristics of information use and recognition of the value of information. Physicians and residents showed their information needs regarding clinical care using PubMed (80.4%, 65.5%), Ichushi-Web (61.8%, 63.6%), and UpToDate (40.4%, 65.5%). While physicians rely more on electronic journals (37.8%), residents use more hybrid resources including Japanese print books (38.2%) and online books (30.9% for Japanese, 32.7% for English) to confirm their knowledge. Nurses need more information close to patients and explore a wider variety of information resources such as Japanese print books (60.4%), Ichushi -Web (40.3%), Japanese online books (20.5%), and websites of academic organizations (19.0%). Although the overall recognition of the value of information was relatively modest, concrete changes in clinical practice were found in some areas. Environments with insufficient information and availability of electronic resources should be improved to increase the use of library and information services for implementing EBM.</p>
Increasing the value of wind - From passive to active actors in the power markets (On-line Appendix)
<p>Mathematical formulations and input data for the evaluation of the different market participation strategies.</p>
Determining the IC50 values of 30 legacy ACVR1/ALK2 inhibitors
<p>A large number of ACVR1/ALK2 inhibitors were previously synthesised by Paul Brenner’s team (Target Discovery Center, University of Oxford) for the purpose of treating Fibrodysplasia Ossificans Progressiva (FOP). Although these compounds were not designed with blood-brain-barrier permeability in mind, they can serve as good bench-marks for my cellular assays. Therefore, 30 of these legacy compounds were chosen to be tested before other new bespoke Diffused Intrinsic Pontine Glioma (DIPG) compounds from Ontario Institute for Cancer Research (OICR) and Charles River Laboratories (CRL).</p>
CT image volume, gray values and pore structure parameters of hydrate formation in sands
<p>The dataset consists of CT raw volume and gray values of hydrate formation (hydrate saturation 0, 14%, 35% and 51%), methane hydrate growth pattern, and the pore structure parameters. The dataset associated with the manuscript entitled " Investigation on the multi-parameter of hydrate-bearing sands using nano-focus X-ray computed tomography" .</p> <p> </p>
Determining the dual luciferase ALK5 IC50 values of 30 legacy ACVR1/ALK2 inhibitors
<p>A large number of ACVR1/ALK2 inhibitors were previously synthesised by Paul Brenner’s team (Target Discovery Center, University of Oxford) for the purpose of treating Fibrodysplasia Ossificans Progressiva (FOP). Although these compounds were not designed with blood-brain-barrier permeability in mind, they can serve as good bench-marks for my cellular assays. Therefore, 30 of these legacy compounds were chosen to be tested before other new bespoke Diffused Intrinsic Pontine Glioma (DIPG) compounds from Ontario Institute for Cancer Research (OICR) and Charles River Laboratories (CRL). Inhibition of TGFBR1/ALK5 leads to cardiac toxicity. Since I have not yet been able to establish a robust nanoBRET target engagement assay for TGFBR1/ALK5, I will have to resort to dual luciferase promoter assay (orthologous assay) for the time being.</p> <p>For my corresponding opennotebook post, please visit the following page:</p> <p>https://openlabnotebooks.org/determining-the-dual-luciferase-alk5-ic50-values-of-30-legacy-acvr1-alk2-inhibitors/</p>
Test of a sorter for different OAM value of the incident beam
<p>In this dataset a fan-out version of the OAM sorter has been tested inside the TEM.</p> <p>The soreter has been illuminated with vortex beams having different topological charge (as encoded in the filename).</p>
Application of the OAM sorter to incident beams having different value of orbital angular momentum
<p>This dataset contains the characterization of an OAM sorter. The sorter has been tested inside the TEM and has been illuminated with vortex beams having different topological charge (as encoded in the filename).</p>
Conceptual Coupling Values - Github Projects Dataset
<p>A Dataset that contains conceptual coupling measures obtained on 61 opensource projects hosted in github.The conceptual coupling measure was calculated by 18 diferent ways. A way is called model. There are 299 software major version colected to calculate these values.</p> <p>To understand how each model was applyed, see the label meaning:</p> <ul> <li>Yco: Use code comment</li> <li>Nco: No use code comment</li> <li>Yca: Divide tokens by CamelCase</li> <li>Nca: no divide tokens by CamelCase</li> <li>Ns: no stemming tokens low frequency occurrence</li> <li>Ys: stemming tokens low frequeny occurrence</li> <li>Qth: remove third quantile </li> <li>Qfi: remove first quantile</li> <li>Lsi: Latent Semantic Indexing</li> <li>TFIDF: term frequency - inverse document frequency</li> <li>Naive: Term-Frequency</li> </ul> <p>All projects are from github and developed in the following language:</p> <ul> <li>C++</li> <li>Java</li> <li>Javascript</li> <li>Python</li> <li>Ruby</li> </ul> <p>This dataset also contains the following resources:</p> <ul> <li>Commits between those project versions</li> <li>List of versions used in this study</li> <li>Scripts used in some works</li> </ul>
Constant head values and Conductivity fields
<p>With these data sets we intend to provide the input for running the groundwater simulations adopted for the study published on WRR with the title: "Modeling Influence of Sediment Heterogeneity on Nutrient Cycling in Streambeds".</p>
Dataset on production, processing and trading activities in Ghana's cocoa value chain
<p>This covers data on production, processing and trading activities in Ghana's cocoa value chain that were used to populate a stock-and flow diagram representing the baseline model of the cocoa value chain. Data are retrieved from different secondary sources, collated in excel sheets</p>
Supplementary data for "An initial assessment of the value of Allam Cycle power plants with liquid oxygen storage in future GB electricity system"
<p>The code for the Unit Commitment & Economic Dispatch model that was used in this work is available at: https://gist.github.com/vitali87/20688c161d7b5ad598b5d52b524f4585</p> <p>Sample output data can be found in the "Example Outputs.zip" file. This corresponds to the case outlined in the article that simulates a system with 5 Allam Cycle plants without Liquid Oxygen Storage, for the winter test week.</p> <p>To run the UCED model:</p> <ul> <li>Download "UC AIMMS Allam Cycle Model" code from the github and save as an AIMMS project file.</li> <li>Save the file in a folder that contains all the necessary input datasets, found in the "Universal Inputs for UCED Model.zip" file, and the example outputs, found in the "Example Outputs.zip" file, which are to be overwritten. Do not change the name of the input or output files.</li> <li>Open the project and execute the following procedures: <ul> <li>"Main Initialisation" - to initialise the problem</li> <li>"Read from Excell" - to read data from the input files</li> <li>"Main Execution" - to begin running the problem</li> </ul> </li> <li>Once the run is complete, execute "Run External Procedure" to overwrite the output files with the new data.</li> </ul> <p>To change the test week:</p> <ul> <li>Open "Demand Profiles" in 'sets' and change the set definition. Enter "C1" for the winter week and "C21" for the summer week. Another week can alternatively be selected. For example, entering "C45" would allow the model to run with the weather and demand data from the 45th week in the year 2010. </li> <li>Save and close the set.</li> </ul> <p>To change the number of plants in the system:</p> <ul> <li>Open "PCCSGenerators" in 'sets' and change the set definition. To run with 5 Post Combustion Capture plants, end the list of generators after plant number 5 by commenting the remaining plants. This is done by using "!" after the 5th plant name in the string. Then save and close the set.</li> <li>Repeat the above step for the "ACGenerators" and "AirSeparationUnits" sets, to change the number of Allam Cycle plants in the system.</li> </ul> <p>To add or remove oxygen storage capability from the Allam Cycle plants:</p> <ul> <li>Open the "Main Initialisation" procedure.</li> <li>To run the model without oxygen storage: <ul> <li>make sure the following command is stated: "AC_ASU_coupled := 0;"</li> <li>save and close the procedure</li> </ul> </li> <li>To run the model with oxygen storage: <ul> <li>make sure the following is command is stated: "AC_ASU_coupled := 1;"</li> <li>make sure that the number, 'X', of "map_AC_to_ASU('Gas_CCS_AC_X') := 'ASU_X';" commands that are active matches the number of active Allam Cycle plants in the model</li> <li>save and close the procedure.</li> </ul> </li> </ul>
Dataset - Assessing the Added Value of the Intermediate Complexity Atmospheric Research Model (ICAR) for Precipitation in Complex Topography
<p>Abstract. The coarse grid spacing of global circulation models necessitates the application of downscaling techniques to investigate the local impact of a changing global climate. Difficulties arise for data sparse regions in complex topography which are computationally demanding for dynamic downscaling and often not suitable for statistical downscaling due to the lack of high quality observational data. The Intermediate Complexity Atmospheric Research Model (ICAR) is a physics-based model that can be applied without relying on measurements for training and is computationally more efficient than dynamic downscaling models. This study presents the first in-depth evaluation of multi-year precipitation time series generated with ICAR on a 4 × 4 km<sup>2</sup> grid for the South Island of New Zealand for an eleven-year period, ranging from 2007 until 2017. It focuses on complex topography and evaluates ICAR at 16 weather stations, eleven of which are situated in the Southern Alps between 700 m MSL and 2150 m MSL. ICAR is assessed with standard skill scores and the effect of model top elevation, topography, season, atmospheric background state and synoptic weather patterns on these scores are investigated. The results show a strong dependence of ICAR skill on the choice of the model top elevation, with the highest scores obtained for 4 km above topography. Furthermore, ICAR is found to provide added value over its ERA-Interim reanalysis forcing data set for alpine weather stations, improving mean squared errors (MSE) by up to 53 % and 30 % on median. It performs similarly during all seasons with an MSE minimum during winter, while flow linearity and atmospheric stability were found to increase skill scores. ICAR scores are highest during weather patterns associated with flow perpendicular to the Southern Alps and lowest for flow parallel to the alpine range. While measured precipitation is underestimated by ICAR, these results show the skill of ICAR in a real-world application, and may be improved upon by further observational calibration or bias correction techniques.<br> Based on these findings ICAR shows the potential to generate downscaled fields for long term impact studies in data sparse regions with complex topography.</p>
Data for: Beyond signal quality: The value of unmaintained pH, dissolved oxygen, and oxidation-reduction potential sensors for remote performance monitoring of on-site sequencing batch reactors
<p>Sensor maintenance is time-consuming and is a bottleneck for monitoring on-site wastewater treatment systems. Hence, we compare maintained and unmaintained sensors to monitor the biological performance of a small-scale sequencing batch reactor (SBR). The sensor types are ion-selective pH, optical dissolved oxygen (DO), and oxidation-reduction potential (ORP) with platinum electrode. We created soft sensors using engineered features: ammonium valley for pH, oxidation ramp for DO, and nitrite ramp for the ORP. Four soft sensors based on unmaintained pH sensors correctly identified the completion of the ammonium oxidation (89 to 91 out of 107 cycles), about as many times as soft sensors based on a maintained pH sensor (91 out of 107 cycles). In contrast, the DO soft sensor using data from a maintained sensor showed slightly better (89 out of 96 cycles) detection performance than that using data from two unmaintained sensors (77, respectively 82 out of 96 correct). Furthermore, the DO soft sensor using maintained data is much less sensitive to the optimisation of cut-off frequency and slope tolerance than the soft sensor using unmaintained data. The nitrite ramp provided no useful information on the state of nitrite oxidation, so no comparison of maintained and unmaintained ORP sensors was possible in this case. We identified two hurdles when designing soft sensors for unmaintained sensors: i) Sensors' type- and design-specific deterioration affects performance. ii) Feature engineering for soft sensors is sensor type specific, and the outcome is strongly influenced by operational parameters such as the aeration rate. In summary, the results with the provided soft sensors show that frequent sensor maintenance is not necessarily needed to monitor the performance of SBRs. Without sensor maintenance monitoring smalls-scale SBRs becomes practicable, which could improve the reliability of unstaffed on-site treatment systems substantially.</p>
Joint distribution between rankings (leader and metric based) and metric values
<p>These images represent the joint distribution between productivity metric values and rankings based on these productivity metrics and the development team leader's information.</p>
Fig. 3 in Value of forest remnants for montane amphibians on the livestock grazed Mount Mbam, Cameroon
Fig. 3. Species accumulation curves of Mount Mbam by land use based on contemporary records.
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.