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2,045 results for “planning”
Indicators and metrics in local climate adaptation plans
<p>This dataset gathers information related to indicators and metrics collected from 11 local climate adaptation plans in worldwide cities - Athens (Greece), Auckland (USA), Barcelona (Spain), Glasgow (UK), Istanbul (Turkey), Lima (Peru), Los Angeles (USA), Montreal (Canada), Nagoya (Japan), New York City (USA), Portland (USA), Tokyo (Japan) and Vancouver (Canada). The dataset describes the use and characteristics of adaptation indicators and metrics across climate adaptation-related planning documents. Although the sample is relatively small, it is a reflection of the global embryonic stage of adaptation metrics practice.</p> <p>The results of the analysis of this database have been published in:</p> <p>Goonesekera, S. M., & Olazabal, M. (2022). Climate adaptation indicators and metrics: State of local policy practice. <em>Ecological Indicators</em>, <em>145</em>, 109657. <a href="https://doi.org/10.1016/j.ecolind.2022.109657">https://doi.org/10.1016/j.ecolind.2022.109657</a> (OPEN ACCESS)</p>
Changing the reaction path of Al/Ni multilayers through planned growth defects
<p>To form line structures with 80 µm hills and valleys width into a Si <100> substrate, thermal oxidation, lithography, and wet chemical etching steps were necessary. During the procedure a inclination was formed in the transition zone between the hills and valleys, due to the KOH etching of the Si <100> substrate. A valley depth of 3.4 µm was measured after the KOH etching. To enable a self-propagating reaction on the structured Si surface, as seen in the video, a 1.2 µm thick layer of thermal SiO2 was produced. The 5 µm thick Al/Ni multilayers were then deposited with direct current magnetron sputtering in an atomic ratio of 1:1, while keeping a bilayer thickness of 50 nm. During the deposition, defects in the multilayers located at the inclined area between the hills and valleys were formed. As shown in the publication of Jaekel et al. (2022) the defects are gaps at the inclined transition zone [1]. During the ignition of the sample, these defects prevented a reaction of the multilayers deposited on the hills. Therefore, a new potential way to guide the reaction on a specific pathway could be established. The video displays an example of a self-propagating reaction, in which the bright reaction front propagates only in the valleys, with an average velocity of 7.4 m/s. The velocity is calculated with the pixels size of 34.4827 µm and the frame rate of 50000 per second. Highspeed-camera FASTCAM SA-X2 type 480K-M3 was used to obtain the video in a resolution of 512x408 pixels.</p>
A goal-based FAIRification planning method
<p>This image illustrates the first draft of the goal-based FAIRification planning method, which builds on experience gained from recent FAIRification projects and feedback from experts on FAIR.</p> <p><strong>An up-to-date version of this method is described at</strong> <a href="https://doi.org/10.21203/rs.3.rs-3092538/v1">https://doi.org/10.21203/rs.3.rs-3092538/v1</a></p>
HVDC-WISE Deliverable 2.1 Appendix 3 Survey of Existing and Planned DC grids
<p>This excel sheet provides an overview as of 31st March 2023 of VSC and LCC links (to the best of the authors knowledge). This acts as as an Appendix to Deliverable 2.1 "Resilience Needs and Objectives" of the HVDC-WISE Horizon Europe project. The information contained in this excel workbook was used as part of the analysis on existing and planned HVDC grids.</p>
The Long-term energy planning with highly detailed demand modelling for Egypt: an IOA-MAED-OSeMOSYS soft-linking approach
<p>These files contain an updated model built for Egypt's power system as of 2023, with detailed demand simulation in 3 different scenarios; business as usual, high economic growth and industrial energy efficiency.</p> <p>Also, a multi region model built for Egypt, Sudan and Ethiopia power sector technologies for future cooperation scenarios.</p>
Birkbeck node deployment plan for Crichton Royal Farm
<p>CSV file containing the planned deployment positions of nodal seismic sensors for PhD project.</p> <p>File contains the following fields:</p> <ol> <li><strong>UniqueID</strong> - a unique numerical identifier for each node</li> <li><strong>Line</strong> - seismic line number</li> <li><strong>Point</strong> - point identifier for each node along the line. Points ending in 01 are vertical component; 02 are horizontal North-South; 03 are horizontal East-West</li> <li><strong>Longitude</strong> - decimal degrees</li> <li><strong>Latitude</strong> - decimal degrees</li> <li><strong>Easting</strong> - UTM Easting, metres</li> <li><strong>Northing</strong> - UTM Northing, metres</li> <li><strong>ZoneNum</strong> - UTM Zone Number</li> <li><strong>ZoneLetter</strong> - UTM Zone Letter</li> </ol>
PYFOREST-Land-Use-Plan-Simulation
<p>Results data from the Master's Capstone Project PYFOREST. Mock properties of the undeveloped region of the Paraguayan Chaco and simulated land use plans under current and alternate laws. See attached metadata for additional information, or refer to the project repository. </p>
Datasets for "Update on our action plan for equity, inclusion, and diversity in publishing at JGR: Biogeosciences"
<p>Datasets supporting "Update on our action plan for equity, inclusion, and diversity in publishing at JGR: Biogeosciences." These files provide summary data on submissions to AGU journals between 2018 and 2022. They also include decision data for manuscripts submitted to AGU journals with a decision made between 2018 and 2021. Summary data are presented in compliance with AGU's Privacy Policy, https://www.agu.org/Privacy-Policy</p>
Data - process planning
<p>Here is the data set including process time, process quality, and the match-making of resources and assembly tasks. These data belongs to the process planning problem, where several process plans exist there. The data description in explained in the txt file.</p>
REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-4. Wiring harness manipulation. Data related to a paper for the conference CoDIT 2023
<p>The datasets contain data recorded during the experiment reported in the paper:</p><p>A. Govoni, G. Laudante, M. Mirto, C. Natale, and S. Pirozzi (2023). "Towards the automation of wire harness manufacturing: a robotic manipulator with sensorized fingers". In: 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)</p>
"MyPlan" - Individualized Planned Eating Patterns for Adolescents With Type 1 Diabetes
ClinicalTrials.gov study NCT05147324. IPD Sharing: YES. Countries: 1. Publications: 20.
Videos for Advance Care Planning in Young Adults
ClinicalTrials.gov study NCT04149704. IPD Sharing: YES. Countries: 1. Publications: 1.
EFFICACY: Hopewell Hospitalist: A Video Game Intervention to Increase Advance Care Planning by Hospitalists
ClinicalTrials.gov study NCT04557930. IPD Sharing: YES. Countries: 1. Publications: 3.
Postpartum Family Planning
ClinicalTrials.gov study NCT03844633. IPD Sharing: YES. Countries: 1. Publications: 0.
Respiratory Exacerbation Plans for Action and Care Transitions for Children With Severe CP
ClinicalTrials.gov study NCT05292365. IPD Sharing: YES. Countries: 1. Publications: 2.
Enhancing Survivorship Care Planning for Patients With Localized Prostate Cancer Using A Couple-focused Web-based Tailored Symptom Self-management Program
ClinicalTrials.gov study NCT04350788. IPD Sharing: YES. Countries: 1. Publications: 1.
Care to Plan: a Tailored Resource for Family Members of Persons With Dementia
ClinicalTrials.gov study NCT03901456. IPD Sharing: NO. Countries: 1. Publications: 2.
Evaluation of Person Centered-Care During Family Planning Services at Public Facilities in India
Open the record for dataset details and reuse information.
Offline replay supports planning in human reinforcement learning
Open the record for dataset details and reuse information.
MARTREC Data from Visualizing Sea Level Rise Impacts in Transportation Planning
<p>This research focuses on a study area in Fort Lauderdale--a two-block stretch of Las Olas Blvd. between Southeast 9th Ave. and Southeast 11th Ave. where researchers expect mean high tides up to 36 inches higher in the year 2100. The project investigates a community planning process in which a combination of high- and low-tech visualization methods—a Geographic Information System (GIS) and a human artist—was used to increase public participation and draw out local knowledge which helps the decision-making process for the future. Mixed reality technologies such as Microsoft Hololens (augmented reality) and Samsung VR Gear (virtual reality) offer immersive educational and engagement experiences, which may convey information in a more meaningful way. Using a quasi-experimental methodology of before-and-after surveys, we compare the degree to which virtual reality technologies improve<br> (or impede) constituents’ absorption of information regarding sea-level rise risks to roadway infrastructure in their communities.</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.