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119 results for “Process Integration”
Example of datasets processed to demonstrate a multisource data integration methodology
<p>This dataset contains the data processed to demonstrate the multi-source spatial data integration methodology proposed in the paper "Multisource spatial data integration for use cases applications".</p> <p>It contains:</p> <p>- the building footprint extracted from the IFC model of a newly designed building in WKT format, by using the GeoBIM_Tool (<a href="https://github.com/twut/GEOBIM_Tool">https://github.com/twut/GEOBIM_Tool</a>);</p> <p>- the extrusion of the footprint until the measured height measured with the same GeoBIM_Tool;</p> <p>- a portion of the Rotterdam 3D city model generated with 3dfier and available at https://3d.bk.tudelft.nl/opendata/3dfier/, converted in CityJSON with the citygml-tools (https://www.cityjson.org/tutorials/conversion/), developed to convert data between CityGML and CityJSON.</p>
Dataset for "Low-temperature processing of screen-printed piezoelectric KNbO3 with integration onto biodegradable paper substrates"
<p>This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the recent publication entitled “Low-temperature processing of screen-printed piezoelectric KNbO3 with integration onto biodegradable paper substrates”.</p> <p><strong>Associated Manuscript Abstract:</strong> "The development of fully solution-processed, biodegradable piezoelectrics is a critical step in the development of green electronics towards the worldwide reduction of harmful electronic waste. However, recent printing processes for piezoelectrics are hindered by the high sintering temperatures required for conventional perovskite fabrication techniques. Thus, a process was developed to manufacture lead-free printed piezoelectric devices at low temperatures to enable integration with eco-friendly substrates and electrodes. A printable ink was developed for screen printing potassium niobate (KNbO<sub>3</sub>) piezoelectric layers in microns of thickness at a maximum processing temperature of 120 °C with high reproducibility. Characteristic parallel plate capacitor and cantilever devices were designed and manufactured to assess the quality of this ink and evaluate its physical, dielectric, and piezoelectric characteristics; including a comparison of behavior between conventional silicon and biodegradable paper substrates. The printed layers were 10.7–11.2 μm thick, with acceptable surface roughness values in the range of 0.4–1.1 μm. The relative permittivity of the piezoelectric layer was 29.3. The poling parameters were optimized for the piezoelectric response, with an average longitudinal piezoelectric coefficient for samples printed on paper substrates measured as <em>d</em><sub>33,<em>eff</em>,<em>paper</em></sub> = 13.57 ± 2.84 pC/N; the largest measured value was 18.37 pC/N on paper substrates. This approach to printable biodegradable piezoelectrics opens the way forward for fully solution-processed green piezoelectric devices."</p> <p>The data set consists of the following folders:</p> <ul> <li>Device design files <ul> <li>Contains data associated with the design and fabrication of printed devices.</li> <li>Includes CAD designs of fabricated devices and py files of computational models</li> </ul> </li> <li>Physical characterization data <ul> <li>Contains data associated with characterizing the physical properties of the piezoelectric devices</li> <li>Includes particle size analysis data (SEM images of printed layers, collected dimensional data), Profilometry scans, Layer adhesion, ink density, and rheology data.</li> </ul> </li> <li>Dielectric characterization data <ul> <li>Contains data associated with characterizing the dielectric properties of the piezoelectric devices </li> <li>Includes py analysis script as well as raw data collected for capacitor devices of varying surface area and substrate material</li> </ul> </li> <li>Piezoelectric characterization data <ul> <li>Contains data associated with characterizing the piezoelectric properties of the devices</li> <li>Includes raw data collected from Berlincourt measurements of samples, matlab scripts for analysis of cantilever samples from Laser Doppler Vibrometry, and raw data collected for cantilever samples of device deflection from LDV measurements</li> </ul> </li> </ul> <p>Please refer to the included readme files for a detailed description of the contents.</p>
CCE LTER process cruise, in the California Current region, event log records including date, time, position and activity for use in post-cruise data integration based on co-sampling indexes. From 2006 to 2019 CCE LTER used a locally developed event logging system. During P2107, CCE LTER started to utilize the R2R Event Logger on UNOL ships, 2006 - 2024 (ongoing).
The event logger program developed and maintained by the California Cooperative Oceanic Fisheries Investigations, SIO, program is used aboard CCE LTER process cruises to create indexes with temporal, spatial and activity information for post-cruise data integration. The event log is configured aboard the ship for the recording of sampling events by both ship crew personnel on the bridge, and research personnel in the lab. The event log is processed post-cruise to correct for various errors.
Integration of the Ash-Based Treatment of the Anerobic Digestate in a Wider Valorization Process by Aspen Plus® Simulation
<p>Spreadsheets for the 7 scenarios investigated in the article: "Aspen Plus® process simulation model of the biomass ash-based treatment of anaerobic digestate for production of fertilizer and upgradation of biogas". A comparison of the following 7 process strategies is mentioned in the above article:<br> Case 1 is the foundation case (labelled as untreated MD) that served as benchmark and it implied the production of MD using the original PSM of Rajendran et al. [11].<br> In Case 2 a stream of pure hydrochloric acid was incorporated at a 0.1000 times the flowrate of the MD towards the ionization reactor (1HCl:10MD).<br> In Case 3 a stream of hydrochloric acid was incorpo-rated at 0.1176 times the flowrate of the MD towards the stoichiometric-equilibria reactor (1HCl:8.5MD).<br> In Case 4 a stream of hydrochloric acid was incorporated at 0.1212 times the flowrate of the MD towards the ionization reactor (1HCl:8.25MD).<br> The remaining 3 cases are built on Case 3 (i.e. considering the previous acidification of the MD with the dose of 3.18 mEq HCl/g).<br> In Case 5 the stream of SSA (Table 1) was incorpo-rated at 0.0040 times the flowrate of the MD towards the stoichiometric-equilibria reactor (1SSA:1.76HCl:15MD).<br> In Case 6 the stream of ash (Table 1) was incorporated at 0.0060 times the flowrate of the MD towards the ionization reactor (1SSA:1.18HCl:10MD).<br> In Case 7 the stream of ash was incorporated at 0.0080 times the flowrate of the DM to the stoi-chiometric-equilibria reactor (1SSA:0.88HCl:7.5MD). <br> Additionally, MS Word file summarizes the most relevant data: Table S1, Mass balance of the nutrients monitored in the Aspen Plus® simulations. (1/3); Table S2, Mass balance of the nutrients monitored in the Aspen Plus® simulations. (2/3); Table S3, Mass balance of the nutrients monitored in the Aspen Plus® simulations. (3/3); Table S4, List of the components in the PSM of Rajendran et al. [11]. (1/3); Table S5, List of the components in the PSM of Rajendran et al. [11]. (2/3); Table S6, List of the components in the PSM of Rajendran et al. [11]. (3/3).</p>
Dataset for the article "Development of an integrated socio-hydrological modeling framework for assessing the impacts of shelter location arrangement and human behaviors on flood evacuation processes"
<p>This dataset include the data needed to create the socio-hydrological model to simulate human evacuation processes via a transportation network before a flood hits the residential area. Source code, in JAVA, for generating households in the agent-based model are also provided. </p>
Water column primary production per day integrated over the euphotic zone from CCE LTER process cruises in the California Current System, 2006 - 2021 (ongoing).
Derived dataset of vertically integrated primary production (uptake rate of carbon) of particulate organic carbon (POC) using 14C uptake measurements from in situ incubations, filtering methods and measured in mg/m²/day.
Dataset of the publication: Sublimable complexes with spin switching: Chemical design, processing as thin films and integration in graphene-based devices
<p>Dataset of the publication: Sublimable complexes with spin switching: Chemical design, processing as thin films and integration in graphene-based devices</p> <p>DOI: 10.1039/d2tc04120k</p> <p>M. Guevara-Edo, F. J. Valverde-Muñoz, R. Cordoba, M. C. Muñoz, J. Herrero-Martín, J. A. Real, E. Coronado</p> <p>J. Mater. Chem. C, 11, 24, 8107-8120 (2023)</p>
Integrating floral trait and flowering time distribution patterns help reveal a more dynamic nature of co-flowering community assembly processes
<p>Species' floral traits and flowering times are known to be the major drivers of pollinator-mediated plant-plant interactions in diverse co-flowering communities. However, their simultaneous role in mediating plant community assembly and plant-pollinator interactions is still poorly understood. Since not all species flower at the same time, inference of facilitative and competitive interactions based on floral trait distribution patterns should account for fine phenological structure (intensity of flowering overlap) within co-flowering communities. Such an approach may also help reveal the simultaneous action of competitive and facilitative interactions in structuring co-flowering communities.</p> <p>Here we used modularity within a co-flowering network context, as a novel approach to detect convergent and/or over-dispersed patterns in floral trait distribution and pollinator sharing. Specifically, we evaluate differences in floral trait and pollinator distribution patterns within (high temporal flowering overlap) and among co-flowering modules (low temporal flowering overlap). We further evaluate the consistency of observed floral trait and pollinator sharing distribution patterns across space (three geographic regions) and time (dry and rainy seasons).</p> <p>We found that floral trait similarity was significantly higher in plant species within co-flowering modules than in species among them. This suggests pollinator facilitation may lead to floral trait convergence, but only within co-flowering modules. However, our results also revealed seasonal and spatial shifts in the underlying interactions (facilitation or competition) driving co-flowering assembly, suggesting that the prevalent dominant interactions are not static.</p> <p>Synthesis: Overall, we provide strong evidence showing that the use of flowering time and floral trait distribution alone may be insufficient to fully uncover the role of pollinator-mediated interactions in community assembly. Integrating this information along with patterns of pollinator sharing will greatly help reveal the simultaneous action of facilitative and competitive pollinator-mediated interactions in co-flowering communities. The spatial and temporal variation in flowering and trait distribution patterns observed further emphasize the importance of adopting a more dynamic view of community assembly processes.</p>
Dataset of alternative process plan networks for dynamic integrated process planning and scheduling
<p>This dataset includes 3D models of representative manufacturing parts (jobs) as well as their features. For each of the manufacturing part, alternative process plan networks are given containing alternative machine tools, cutting tools, Tool Access Directions (TADs) and manufacturing times. The dataset also includes a detailed technical specification for all parts and calculated manufacturing times for all operations based on given alternative manufacturing resources.</p>
Weak genetic signal for phenotypic integration implicates developmental processes as major regulators of trait covariation
<p>Phenotypic integration is an important metric that describes the degree of covariation among traits in a population, and is hypothesized to arise due to selection for shared functional processes. Our ability to identify the genetic and/or developmental underpinnings of integration is marred by temporally overlapping cell-, tissue-, and structure-level processes that serve to continually 'overwrite' the structure of covariation among traits through ontogeny. Here we examine whether traits that are integrated at the phenotypic level, also exhibit a shared genetic basis (e.g., pleiotropy). We micro-CT scanned two hard tissue traits, and two soft tissue traits (mandible, pectoral girdle, atrium, and ventricle respectively) from an F<sub>5</sub> hybrid population of Lake Malawi cichlids, and used geometric morphometrics to extract 3D shape information from each trait. Given the large degree of asymmetric variation that may reflect developmental instability, we separated symmetric- from asymmetric-components of shape variation. We then performed quantitative trait loci (QTL) analysis to determine the degree of genetic overlap between shapes. While we found ubiquitous associations among traits at the phenotypic level, except for a handful of notable exceptions, our QTL analysis revealed few overlapping genetic regions. Taken together, this indicates developmental interactions can play a large role in determining the degree of phenotypic integration among traits, and likely obfuscate the genotype to phenotype map, limiting our ability to gain a comprehensive picture of the genetic contributors responsible for phenotypic divergence.</p>
CCycDB (an integrative knowledgebase to fingerprint microbial carbon cycling processes)
<p>CCycDB - version 2.0 (Please see<strong> </strong><a href="https://ccycdb.github.io/"><strong>https://ccycdb.github.io/</strong></a> for more details)</p><p><strong>CCycDB</strong> is a knowledge-based functional gene database for accurate metagenomic profiling of carbon cycling microbial communities. CCycDB contains 4,676 gene families within 6 categories. These gene families are further categorized into 45 sub-categories within sub-category I and 188 sub-categories within sub-category II with a total of 10,991,724 targeted sequences. A series of validations demonstrated that CCycDB outperformed large public orthology databases in terms of coverage, specificity, and accuracy, and can be used to accurately profile carbon cycling microbial communities in real metagenomic datasets.</p>
Supplementary Materials - Integrating Spatial Analyses and Microbotanical Remains: A Methodological Approach for Investigating Plant Processing Activities and Domestic Spaces at Neolithic Çatalhöyük.
<p><strong>Supplementary Materials I, II, and III - Integrating Spatial Analyses and Microbotanical Remains: A Methodological Approach for Investigating Plant Processing Activities and Domestic Spaces at Neolithic Çatalhöyük.</strong></p> <p> </p> <p><strong>Supplementary I</strong> contains the raw data for the microbotanical analyses on Buildings 80 and 131. It consists of laboratory track sheets and the raw counts of phytoliths and starch grains from each building.</p> <p><strong>Supplementary II</strong> contains: a) A detailed description of all the starch grain typologies encountered in this research along with references from modern reference collections; b) A visual example of each of the phytolith morphotypes identified and c) The variogram and the Kriging error variances.</p> <p><strong>Supplementary III</strong> refers to the R code, building shape files (Mask), and spatial data utilized to produce the Kriging and IDW stipital objects.</p>
Integrative processing in artificial and biological vision predicts the perceived beauty of natural images
<p><em>Data, code, and materials for Nara & Kaiser (2023). </em></p> <p><em>Preprint: </em><a href="https://www.biorxiv.org/content/10.1101/2023.05.05.539579v1">https://www.biorxiv.org/content/10.1101/2023.05.05.539579v1</a></p> <p>Paper: <a href="https://doi.org/10.1126/sciadv.adi9294">https://doi.org/10.1126/sciadv.adi9294</a></p> <p>In this version (v2) of the repository, we:</p> <ul> <li>fixed an error in the fMRI data, where only the data from one participant, instead of all participants was uploaded previously - now all data are available,</li> <li>added brain masks (extracted by SPM) for each participant, and</li> <li>added realignment parameter text files (created by SPM) to the functional data for each participant.</li> </ul>
Integrating dynamic processes into waterfowl conservation prioritization tools
<p><b>Aim: </b> Traditional approaches for including species' distributions in conservation planning have presented them as long-term averages of variation. Like these approaches, the main waterfowl conservation targeting tool in the United States Prairie Pothole Region (US PPR) is based primarily on long-term averaged distributions of breeding pairs. While this tool has supported valuable conservation, it does not explicitly consider spatiotemporal changes in spring wetland availability and does not assess wetland availability during the brood rearing period. We sought to develop a modeling approach and targeting tool that incorporated these types of dynamics for breeding waterfowl pairs and broods. This goal also presented an opportunity for us to compare predictions from a traditional targeting tool based on long-term averages to predictions from spatiotemporal models. Such a comparison facilitated tests of the underlying assumption that this traditional targeting tool could provide an effective surrogate measure for conservation objectives such as brood abundance and climate refugia.</p> <p><b>Location: </b>US PPR</p> <p><b>Methods:</b> We developed spatiotemporal models of waterfowl pair and brood abundance within the PPR of the US. We compared the distributions predicted by these models and assessed similarity with the averaged pair data that is used to develop the current waterfowl targeting tool.</p> <p><b>Results:</b> Results demonstrated low similarity and correlation between the averaged pair data and spatiotemporal brood and pair models. The spatiotemporal pair model distributions served as better surrogates for brood abundance than the averaged pair data.</p> <p><b>Main conclusions:</b> Our study underscored the contributions that the current targeting tool has made to waterfowl conservation but also suggested that conservation plans in the region would benefit from the consideration of inter- and intra-annual dynamics. We suggested that using only the averaged pair data and derived products might result in the omission of 46-98% of important pair and brood habitat, respectively, from conservation plans.</p>
SRL Curricular integration, Digital technologies & Teaching processes
<p>Systematic literature review data (2018-2021) on "technology integration" and "technology uses in education". ERIC databases.</p>
Simulation results for "Integration of Plant and Microbial Oil Processing at Oilcane Biorefineries for More Sustainable Biofuel Production" publication
<p>Simulation results for "Integration of Plant and Microbial Oil Processing at Oilcane Biorefineries for More Sustainable Biofuel Production" publication.</p>
Process plant data integration and querying
<p>This data set includes:</p> <ul> <li>Process plant data derived from heterogeneous sources</li> <li>An OWL ontology of the entities in the data sources</li> <li>Mapping for data in the sources to the ontology (<em>done using Cellfi</em>e,a <em>Protégé plugin. Also save as .json to use</em>)</li> <li>Data integrated from all the sources</li> <li>Sample SPARQL queries (<em>Q5 and Q6</em>)</li> </ul> <p> </p>
Process Integration Multi-Actor Multi-Criteria Optimization (PI-MAMCO) Framework: Case Study on Palm Oil Based Complex (POBC)
<p>The dataset includes the complete workflow for the PI-MAMCO method implementation, demonstrated on a POBC integration case study. The files are structured as follows:</p> <ol> <li> <p><strong>NOTEBOOKS Folder</strong>: This folder contains the Jupyter notebooks that constitute the entire workflow of our case study. These notebooks import necessary model equations, data, and functions from the "MODEL" folder. Running these notebooks with the correct Python package versions will reproduce the exact results presented in our submitted article.</p> </li> <li> <p><strong>MODEL Folder</strong>: This folder includes all model equations, data, and functions required by the Jupyter notebooks. The scripts in this folder are integral to executing the PI-MAMCO method as outlined in our research.</p> </li> <li> <p><strong>OUTPUTS Folder</strong>: The results generated by running the notebooks are saved in this folder. This includes all outputs reported in our manuscript as well as additional results not included in the paper.</p> </li> <li><strong>OUTPUTS_GENERATED Folder</strong>: The files contained in this folder are the expected results from executing the case study notebook.</li> </ol> <p><em>Reproducibility</em>: To ensure the reproducibility of our results, please ensure that you are using the correct versions of the required Python packages. Detailed instructions for setting up the Python environment are provided within the notebook and the readme.txt.</p> <p>Contained are also outputs from the <a href="https://www.sciencedirect.com/science/article/pii/S0957417422003931" target="_blank" rel="noopener">IRenE procedure</a>, used for the literature review (<em>01_extracted_keywords.xlsx</em> ; <em>02_sampling_results.csv</em>)</p>
Integrating ecosystem metabolism and consumer allochthony reveals nonlinear drivers in lake organic matter processing
<p>Lakes process both terrestrial and aquatic organic matter, and the relative contribution from each source is often measured via ecosystem metabolism and terrestrial resource use in the food web (i.e., consumer allochthony). Yet, ecosystem metabolism and consumer allochthony are rarely considered together, despite possible interactions and potential for them to respond to the same lake characteristics. In this study, we compiled global datasets of lake gross primary production (GPP), ecosystem respiration (ER), and zooplankton allochthony to compare the strength and shape of relationships with physicochemical characteristics across a broad set of lakes. GPP was positively related to total phosphorus (TP) in lakes with intermediate TP concentrations (11 - 75 μg L<sup>-1</sup>) and was highest in lakes with intermediate dissolved organic carbon (DOC) concentrations. While ER and GPP were strongly positively correlated, decoupling occurred at high DOC concentrations. Lastly, allochthony had a unimodal relationship with TP and related variably to DOC. By integrating metabolism and allochthony, we identified similar change points in GPP and zooplankton allochthony at intermediate DOC (4.5 - 10 mg L<sup>-1</sup>) and TP (8 - 20 μg L<sup>-1</sup>) concentrations, indicating that allochthony and GPP may be coupled and inversely related. The ratio of DOC : nutrients also helped to identify conditions where lake organic matter processing responded more to autochthonous or allochthonous organic matter sources. As lakes globally face eutrophication and browning, predicting how lake organic matter processing will respond requires an updated paradigm that incorporates nonlinear dynamics and interactions.</p>
Integrated automatic design process for robot swarms
<p>Demonstration of the Integrated automatic process for robot swarms in three missions: Aggregation, Foraging, and Migration.<br> The dataset contains the following:<br> 1. SML (Swarm Mission Language) related files: <br> - specification files used to create missions,<br> - generated files to be used by an optimization method <br> 2. AUTOMODE related files:<br> - the log files running AUTOMODE - an optimization method that generates control software for different missions<br> - generated control software <br> 3. Demonstration:<br> - snapshots and videos of running the missions on real robots</p>
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.