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2,045 results for “Plan S”
SEM-BSE and Photomicrographs of Slickenlines from Plan de Platanos, Big Piute and Waterman Hill Faults
<p>Photomicrographs and energy dispersive X-ray spectroscopy of Plan de Platanos (<strong>PP</strong>), Big Piute (<strong>BP</strong>) and Waterman Hill (<strong>WH</strong>) Fault Slickenlines</p> <p><strong>PP</strong>---> composition---->andesite</p> <p><strong>BP</strong>---> composition ----->quartzite</p> <p><strong>WH</strong>--->composition ----->mylonitized metasediments</p> <p><strong>Abbreviations:</strong></p> <ul> <li><strong>ppl-</strong>----->plane polarized light</li> <li><strong>xpl-</strong>----->plane polarized light</li> </ul> <p><strong>Orientation: </strong>We use Tikoff et al (2019) naming convention for thin section orientation.</p> <ul> <li><strong>XZ-</strong>-parallel to lineations</li> <li><strong>YZ-</strong>-perpendicular to lineations</li> </ul> <p><strong>Instruments:</strong></p> <ul> <li>ZEISS AX10 Petrographic microscope</li> <li>ZEISS Merlin HR-SEM with backscattered electron (BSE) sensor and energy dispersive X-ray spectroscopy (EDS)</li> </ul> <ul> </ul> <p> </p> <p>Tikoff, B., Chatzaras, V., Newman, J., & Roberts, N. M. (2019). Big data in microstructure analysis: Building a universal orientation system for thin sections. Journal of Structural Geology, 125, 226–234. https://doi.org/10.1016/j.jsg.2018.09.0</p>
Rapid decline of carbon monoxide emissions in the Fenwei Plain in China during the Three-year Action Plan on Defending the Blue Sky
<p>The Fenwei Plain is one of China’s most polluted regions, with poor atmospheric dispersion conditions and an outdated energy structure. After implementing multiple policies in recent years, significant reductions in air pollutant concentrations were observed. We inferred high-resolution carbon monoxide (CO) emissions of the Fenwei Plain by inversion of observed atmospheric concentrations and analyzed the causes for variations in CO emissions, especially the effect of the “Three-year Action Plan on Defending the Blue Sky” (TAPDBS). Before the policy went into action, CO emissions temporarily increased and the overall decrease in CO emissions per unit of Gross Domestic Product (GDP) slowed down. When the policy was implemented, CO emission fluxes declined sharply, with an average drop of 28%, accompanied by an even higher 37% decrease of the CO emission per GDP. Thus, the TAPDBS has brought a breakthrough in both economic development and air quality protection in the Fenwei Plain.</p>
Data for domains without generator for the ICAPS 2021 paper "Automatic Instance Generation for Classical Planning"'
<p>This dataset contains raw data (log files) and parsed data (JSON files) of all planners used in the paper run on planning domains for which there is no generator that could directly be used for the Autoscale training process. This dataset was used to select a subset of tasks as described in the paper, for all Autoscale versions up to this point (Autoscale 21.08 and 21.11). As such, it complements the original Zenodo entry https://zenodo.org/record/4586397.</p> <p>domains-without-generator.zip contains the raw experimental data, distributed over a subdirectory for each experiment. Each of these contain a subdirectory tree structure "runs-*" where each planner run has its own directory. For each run, there are symbolic links to the input PDDL files domain.pddl and problem.pddl (can be resolved by putting the benchmarks directory to the right place), the run log file "run.log" (stdout), possibly also a run error file "run.err" (stderr), the run script "run" used to start the experiment, and a "properties" file that contains data parsed from the log file(s).</p> <p>domains-without-generator-eval.zip contains the parsed data, again distributed over a subdirectory for each experiment. Each contains a "properties" file, which is a JSON file with combined data of all runs of the corresponding experiment. In essence, the properties file is the union over all properties files generated for each individual planner run.</p>
Supplementary material 1 from: Krzikowski M, Nguyen TQ, Pham CT, Rödder D, Rauhaus A, Le MD, Ziegler T (2022) Assessment of the threat status of the amphibians in Vietnam - Implementation of the One Plan Approach. Nature Conservation 49: 77-116. https://doi.org/10.3897/natureconservation.49.82145
Assessment of the threat status of the amphibians in Vietnam - Implementation of the One Plan Approach
Plan-form evolution of drainage basins in response to tectonic changes: Insights from experimental and numerical landscapes
<p>The following data contains raw DEMs from the experiment in the simulations referred to in the mentioned manuscript, as well as MATLAB scripts (and legend) used for the analysis of the data.</p> <p>Experiment DEMs are named after the time they were acquired within the experiment, i.e., 4.tif is the DEM of the landscape after a duration of 4 hours of experiment.</p> <p>In MATLAB scripts, the following legend is used:</p> <p>E = Experiment</p> <p>SL = Low concavity simulation</p> <p>SH = High concavity simulation</p> <p>HL = Hack's law analysis</p> <p>A = Asymmetry analysis</p> <p>C = Chi analysis</p> <p>CP = Chi prime analysis</p> <p>ADCP = Across-divide chi prime analysis</p> <p>DAI = Divide asymmetry index analysis</p> <p>CreateStructuredGrid = Function that generates GRIDobj from ASCII files</p> <p>Num_DEM_Load = Script that generates GRIDobj from ASCII files</p>
Data from: Behaviour changes techniques that constitute effective planning interventions to improve physical activity and diet behaviour for people with chronic conditions: a systematic review
<p><span>Objectives: Action planning is a brief and effective behaviour change technique (BCT) to improve physical activity (PA) and diet behaviour (DB).</span><span> This study</span><span> aimed to identify critical BCTs and </span><span>mechanisms of action</span><span> (MoA) to interpret the effectiveness of planning interventions based on the health action process approach (HAPA) model.</span></p> <p><span>Design: Systematic review</span></p> <p><span>Data Sources: PubMed, Web of Science, CIHNAL (EBSCO), PsycInfo (EBSCO), Psychology and Behavioural Sciences Collection (EBSCO), psyARTICLES, and Medline were searched for studies from January 1990 to September 2021 published in English.</span></p> <p><span>Eligibility Criteria: Experiment involving action planning intervention to improve PA or DB in community-dwelling adult patients with chronic conditions.</span></p> <p><span>Data extraction and synthesis: Two reviewers independently coded the planning interventions into BCT combinations and MoA </span><span>assemblies</span><span>. Outcome was dichotomized according </span><span>to </span><span>the statistical power and Cohen's d. The Cochrane risk of bias assessment tool and the Risk of Bias in </span><span>Nonrandomized</span><span> Studies of Intervention assessment tool were used to assess the quality of RCTs and non-RCTs</span><span>, respectively</span><span>.</span></p> <p><span>Results: From the 52 included studies, 46 BCTs were identified and linked to 21 MoAs. Long-term facilitators for planning intervention </span><span>included 'self</span><span>-monitoring of behaviour', 'problem solving', 'instruction on how to perform the behaviour', and 'goal setting (behaviour)'. The most frequently occurring MoA was "beliefs about capabilities". </span><span>The</span><span> effective intervention groups had higher MoA scores that corresponded to the HAPA </span><span>model</span><span> constructs than </span><span>the </span><span>ineffective groups.</span></p> <p><span>Conclusions:</span><span> The findings</span><span> from this review may inform scientific and effective planning intervention designs for community-dwelling people with chronic conditions in the future.</span></p>
Data from: A comprehensive evaluation of flowering plant diversity and conservation priority for national park planning in China
<p><span>Establishment of a national park protection system in China, including the latest target proposed to protect at least 30% of the land area, calls for a comprehensive exploration of conservation priorities incorporating multiple diversity facets. We herein evaluate the spatial distribution of Chinese flowering plants from the perspectives of richness, uniqueness, vulnerability, and evolutionary history, by integrating three mega-phylogenies and comprehensive distribution data. </span><span>We </span><span>detect significantly high consistency among hotspots of different diversity measures for Chinese flowering plants, suggesting that multiple facets of evolutionary diversity are concentrically distributed in China. Affording legal protection to these areas is expected to maximize positive conservation outcomes. We propose two integrative diversity indices by incorporating three richness-based and three phylogeny-based measures, respectively. Both methods identify areas with high species richness, but the integrative phylogeny-based index also locates key areas with ancient and unique evolutionary histories </span><span>(e.g.,</span><span> Ailao-Wuliang Mts, </span><span>Dabie Mts, Hainan rainforest, </span><span>Karst area of Yunnan-Guizhou-Guangxi, </span><span>Nanling Mts, and southeast coastal regions)</span><span>. Of all the diversity indices explored, phylogenetic endemism maximizes the incidental protection of other indices in most cases, emphasizing its significance for conservation planning. Finally, 42 priority areas are identified by combining the 5%-criterion hotspots of two integrative indices and the minimum area to protect all threatened species analyzed. These priorities cover only 13.3% of China's land area but host 97.1% of species richness </span><span>(23,394/24,095)</span><span>, 96.5% of endemic species </span><span>(11,841/12,274)</span><span>, 100% of threatened species </span><span>(2,613/2,613)</span><span>, and 99.3% of phylogenetic diversity for flowering plants involved in this study. These frameworks provide a solid scientific basis for national park planning in China.</span></p>
Towards a Generic Grasp Planning Pipeline using End-Effector Specific Primitive Grasping Actions
<p>In the past few years, several robotic end-effectors based on diverse kinematics and actuation principles have been developed to provide grasping and manipulation functionalities. To ease the control and application of these wide-ranging end-effectors, the development of effective reusable tools that can facilitate the end-effector motion planning and control is necessary. In this work, we introduce a generic grasp planner that leverages on the concept of the primitive grasping actions. Given the specific characteristics of an end-effector, including its kinematic and actuation arrangements, a number of primitive grasping actions are extracted and employed by the proposed grasp planner to autonomously plan and synthesize more complex grasping behaviours. The grasp planner is validated through experimental trials involving the HERI II robotic hand, a four-fingers tendon-driven under-actuated hand. The results of these experiments demonstrate the efficacy of the proposed method to generate appropriate planning actions enabling to grasp objects of different shapes.</p>
PortPy: Planning and Optimization for Radiation Therapy
<p>PortPy (<strong>P</strong>lanning and <strong>O</strong>ptimization for <strong>R</strong>adiation <strong>T</strong>herapy) is a community effort to develop an open source python library to facilitate the development and clinical translation of radiotherapy cancer treatment planning algorithms. PortPy includes:</p> <p>1. Research-ready data and code to promote <em>benchmarking</em>, <em>transparency</em>, <em>reproducibility </em>and <em>community</em>-<em>driven </em>development</p> <p>2. Interface to an open-source optimization package <a href="https://www.cvxpy.org/">CVXPy</a> for easy/quick prototyping and out-of-the-box access to commercial/open-source optimization engines (e.g., Mosek, Gorubi, CPLEX, IPOPT)</p> <p>3. Visualization modules to visualize relevant plan information (e.g, dose volume histograms, dose distribution, fluence map)</p> <p>4. Evaluation modules to quantify plan quality with respect to established clinical metrics (e.g., RTOG metrics, dose conformality, tumor control probability, normal tissue control probability)</p> <p>Data needed for optimization and algorithm development (e.g., a set of beams/beamlets/voxels, dose contribution of each beamlet to each voxel) are provided for a set of pre-specified machine parameters (e.g., beam/colimator/couch angles). We initially provide these data for a set of publicly available dataset from TCIA. We hope to expand our dataset in the future. The data needed for optimization is extracted from the research version of Eclipse<sup>TM</sup> treatment planning system (<a href="https://www.varian.com/">Varian Medical Systems</a>) using its API.</p>
EVALUATION OF RADAR-BASED PRECIPITATION DATASETS FOR APPLICATIONS IN THE LOUISIANA COASTAL MASTER PLAN
<p>A suite of hydrological and ecological models is used in the Louisiana Coastal Master Plan (CMP) Integrated Compartment Model (ICM) to assess potential benefits of restoration and protection projects. A main driving input for these models is precipitation. Since precipitation is considered a major source of freshwater in coastal Louisiana (50-60 inches/year), accurate information about its magnitudes and spatial and temporal distributions is critical for successful implementation of the ICM and other CMP-related modeling studies. Accurate information on precipitation is also critical for establishing reliable and representative water budget analyses for coastal Louisiana. In contrast to the sparse availability of rain gauges, weather radars can provide high-resolution rainfall estimates with excellent spatial resolutions and coverage over coastal Louisiana. The potential value of radar-based precipitation products has not been capitalized on yet by the CMP studies. Louisiana is covered by several National Weather Service (NWS) NEXRAD radar stations, with the two radar stations located near Slidell and Lake Charles being the most relevant to coastal Louisiana. The main objective of the graduate research project is to perform a regional-scale assessment of radar-rainfall datasets available over coastal Louisiana and evaluate whether they can be directly used by the CMP studies. Unlike past assessment studies, which were geared towards short-term applications (e.g., flood prediction and forecasting), the focus of this study will be on assessing accuracy aspects that are of direct relevance to the CMP applications. The study will examine (a) the reproducibility of inter-annual and intra-annual variability by the radar dataset, (b) the representation of extreme rainfall events, and (c) the representation of spatial distributions of annual and seasonal rainfall across various regions of the coast with distinctly different climatic regimes. The study will provide the CMP with quantitative assessment on the advantages and limitations of radar-based precipitation datasets and whether they can be readily used by the ICM models. This research will also provide insight on the levels of uncertainties in the radar-rainfall datasets and the implications for these uncertainties for the ICM models.</p> <p> </p> <p>Please make sure you work with the latest version of this data set only (check the panel on the right for versioning).</p>
Supplementary material 1 from: Palo T, Lagercrantz K, Bramryd T, Johansson M, Beery T, Jönsson K, Wamsler C, Brink E, Schubert P, Ekelund N (2016) Priority areas in municipality planning: ecosystem services, environmental impact assessments and research areas. One Ecosystem 1: e9869. https://doi.org/10.3897/oneeco.1.e9869
Performed EIA and biological assessments in region of Skane, Sweden. Data from Swedish Society for Nature Conservation, http://www.naturskyddsforeningen.se/om/dokument-media/rapporter
Environmental and geographic variables are effective surrogates for genetic variation in conservation planning
<p><strong>Environmental and geographic variables are effective surrogates for genetic variation in conservation planning</strong></p> <p>Jeffrey O. Hanson, Jonathan R. Rhodes, Cynthia Riginos, Richard A. Fuller.</p> <p>Correspondence should be addressed to jeffrey.hanson@uqconnect.edu.au.</p> <p><em>Research summary</em></p> <p>Protected areas buffer species from anthropogenic threats and provide places for the processes that generate and maintain biodiversity to continue. However, genetic variation, the raw material for evolution, is difficult to capture in conservation planning, not least because genetic data require considerable resources to obtain and analyze. Here we show that freely available environmental and geographic distance variables can be highly effective surrogates in conservation planning for representing adaptive and neutral intra-specific genetic variation. We obtained occurrence and genetic data from the IntraBioDiv project for 27 plant species collected over the European Alps using a gridded sampling scheme. For each species, we identified loci that were potentially under selection using outlier loci methods, and mapped their main gradients of adaptive and neutral genetic variation across the grid cells. We then used the cells as planning units to prioritize protected area acquisitions. First, we verified that the spatial patterns of environmental and geographic variation were correlated, respectively, with adaptive and neutral genetic variation. Second, we showed that these surrogates can predict the proportion of genetic variation secured in randomly generated solutions. Finally, we discovered that solutions based only on surrogate information secured substantial amounts of adaptive and neutral genetic variation. Our work paves the way for widespread integration of surrogates for genetic variation into conservation</p> <p><em>Overview</em></p> <p>This repository contains the data and source code that underpins the findings in our manuscript "Environmental and geographic variables are effective surrogates for genetic variation in conservation planning".</p> <p>To rerun all computational analyses, run `make clean && make all`.</p> <ul> <li>article <ul> <li>manuscript main text, figures, and supporting information</li> </ul> </li> <li>code <ul> <li>R: scripts used to run the analysis</li> <li>parameters: files used to run analysis in TOML format</li> <li>rmarkdown: files used to compile them manuscript</li> </ul> </li> <li>data <ul> <li>raw: raw data used to run the analysis</li> <li>intermediate_ results generated during processing</li> <li>final: results used in the paper</li> </ul> </li> </ul> <p><em>Software required</em></p> <ul> <li>Operating system <ul> <li>Ubuntu (Trusty 14.04 LTS)</li> </ul> </li> <li>Programs <ul> <li>[R (version 3.3.2)](https://www.r-project.org)</li> <li>GNU make</li> <li>pandoc (version 1.16.0.2+)</li> <li>Gurobi (version 7.0.2; academic licenses are available for no cost)</li> <li>LaTeX</li> </ul> </li> </ul>
Supplementary Material for the Paper "Optimizing Workday Planning Based on Time and Productivity Constraints"
<p>This repository contains the (anonymized) supplementary material for our paper. This includes the survey questions we asked, as well as a video and screenshots of DayO.</p> <p><strong>Abstract</strong>: Planning one’s workday was shown to be positively related to increased control of time, work and life satisfaction, and<br> performance. However, planning for an efficient workday is challenging, due to the high complexity of tasks that knowledge<br> workers have to perform and the many constraints that influence their plan. Few planning tools actively support users with the task scheduling process, but they do not take into account these time and productivity constraints. Hence, we have devised an automated task scheduling approach that recommends an optimized workday plan, by considering constraints such as task characteristics (e.g., difficulty, deadline, importance), scheduled appointments, the current stress level and sleep quality from the previous night. A preliminary analysis of the approach, using DayO as a technology probe in situ, showed that participants found the idea<br> very promising, but a real-world application would additionally require further support to reduce the cognitive burden of planning and would let users to adapt their schedules interactively, when constraints change throughout a workday.</p>
Changes in planned and unplanned canopy openings are linked in Europe's forests
<p>Code and data for the paper Seidl, R. and Senf, C. (2024) Changes in planned and unplanned canopy openings are linked in Europe’s forests.<br>.</p>
Data Management Plan (final): SPPELME
Open the record for dataset details and reuse information.
Set of images of chile crop areas collected with flight plans
<p>As part of the activities of the project "Design of an automatic microclimate monitoring platform for the planning and management of production systems", aerial images were taken of a chili crop field in the region identified as El Solis in section 45 of the Mezquital Valley in the state of Hidalgo, Mexico.</p> <p><span>The experimental field was a rectangular area with 1.4 hectares located in the Mezquital Valley in the state of Hidalgo, Mexico (20°08'18.2"N 99°16'28.2"W). Three data sets were collected from the Capsicum annuum L. field between weeks 17 and 32 of crop development: set1.zip (August 8, 2021), set2.zip (August 29, 2021), and set3.zip (September 11, 2021),.</span></p>
Electronic Companion - Accelerated Benders Decomposition for Enhanced Co-Optimized T&D System Planning
<p>This release is associated with a paper entitled "Accelerated Benders Decomposition for Enhanced Co-Optimized T&D System Planning".</p> <p>In this document, we include information regarding the physical parameters of the transmission and distribution power systems adopted to present the results shown in the paper. Additionally, data regarding investment and operative costs, as well as the scenarios used to describe the uncertainty of renewable-based generation availability and demand, are provided in this document.</p>
The University of Stavanger CoARA Action Plan 2024-2027
<p>As signatory to the CoARA Agreement the ARRAV Action Plan is available by The University of Stavanger, Norway. The plan clarifies how the univesity intend to fulful the core commitements of the agreement from 2024 until 2027. </p>
The University of Stavanger CoARA Action Plan 2024-2027
<p>As signatory to the CoARA Agreement the ARRAV Action Plan is available by The University of Stavanger, Norway. The plan clarifies how the univesity intend to fulful the core commitements of the agreement from 2024 until 2027. </p>
Influence of Project Planning on Performance of Housing Construction Projects in Rwanda: case of Silver Back Mall and Makuza Building Projects in Kigali City
<p><span>The study investigated the </span><span>influence of project planning on performance of Housing Construction Projects in Rwanda. </span><span>The study has the specific objectives of</span><span> determining the influence of project scope planning on performance of housing construction project in Kigali City;</span><span> t</span><span>o establish the influence of project resource planning on performances of housing construction project;</span><span> and t</span><span>o analyze the influence of project risk planning on</span><span> performance of </span><span>housing construction projects performances of housing construction project. <span>The descriptive research design and </span></span><span>correlative approach were used. </span><span>Target population was 161 staff in the housing construction and </span><span>sample size was 161 respondents selected using census survey sampling. Data collection methods were questionnaire and documentary analysis.<span> </span>Methods of analysis were <span>descriptive statistic method; correlation coefficient and </span></span><span>multiple linear regression analysis models.</span><span><span> </span>The findings revealed that correlations between project planning factors and the performance of housing construction projects are highly significant (Sig. = 0.000) and strongly positive. In this model, the R-value is 0.948, indicating a strong positive linear relationship between the predictors and the dependent variable. This means that the independent variables collectively explain 94.8% of the variation in the dependent variable. In this model, the R-Square value is 0.899, which means that approximately 89.9% of the variation in the Performance of housing construction projects can be explained by the predictors included in the model. According to the findings on <span>Ha1 stated that “there is a significant influence of project scope planning on the performance of housing construction projects in Kigali City”. In the ANOVA table, the "Regression" row provides this information where the "F" statistic for the "Regression" component is 467.870, and the associated "Sig." (p-value) is very close to zero (0.000). This indicates that the regression model (which includes </span>project scope planning<span>) is statistically significant. The Ha2 stated that “</span>t<span>here is a significant influence of project resource planning on the performance of housing construction projects in Kigali City”. Similarly, we look at the significance of the predictor "</span>project resource planning<span>" in the regression model. The "F" statistic for the "Regression" component is 467.870, and the associated "Sig." (p-value) is very close to zero (0.000). The Ha3 said that “there is a significant influence of project risk planning on the performance of housing construction projects in Kigali City”. Again, we examine the significance of the predictor "</span>project risk planning<span>" in the regression model. The "F" statistic for the "Regression" component is 467.870, and the associated "Sig." (p-value) is very close to zero (0.000). Therefore, based on the analysis, </span>project risk planning <span>also has a significant influence on the performance of housing construction projects in Kigali City.</span> <span> </span></span></p> <p><span> </span></p> <p><strong><span>Key words: </span></strong><em><span>project planning; performance of Housing Construction Projects; </span></em><em><span>project scope planning; project resource planning; project risk planning</span></em></p>
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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.