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19 results for “planning area”
Dataset for Method for Delivery Planning in Urban Areas with Environmental Aspects
<p>The purpose of this dataset is to enable the replication of the research results presented in the article: Michał Lasota, Aleksandra Zabielska, Marianna Jacyna, Piotr Gołębiowski, Renata Żochowska, Mariusz Wasiak. Method for Delivery Planning in Urban Areas with Environmental Aspects. Sustainability 2024, 16(4), 1571. https://doi.org/10.3390/su16041571 - published online: 2024-02-13, which a method of large-criteria decision-making support was developed in the field of urban supply planning, taking into account the minimization of harmful compound emissions.</p> <p>Dataset contains:</p> <ul> <li>Readme.txt: description of the dataset</li> <li>InputData.xlsx: Contains the input data in the model. The data is presented in three tables.</li> <li>OutputOptimization.xlsx: Contains the output optimization data. The data is prsented in four tables.</li> <li>OutputSummary.xlsx: Contains contains the final results of the aggregated variable.</li> </ul> <p>The dataset was created as part of the E-Laas project (Energy optimal urban logistics As A Service).<br>Project implemented as part of the call ERA-NET Cofund Urban Accessibility and Connectivity (ENUAC China Call) organized by JPI Urban Europe and the National Natural Science Foundation of China (NSFC). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875022.<br> E-Laas project is carried out in an international consortium. Project coordinator in Europe: Chalmers University of Technology (Sweden), project coordinator in China: Shanghai University (China), consortium members: Tsinghua University (China), Warsaw University of Technology (Poland), cooperation partners: Stockholms stad, Trafikkontoret (Sweden), ParkUnload (Spain), Metropolis GZM (Poland), Shanghai Urban-Rural Construction and Transportation Department (China), Volvo Group Trucks Technology and Operations (Sweden).<br>- The Chinese part of the project is funded by National Natural Science Foundation of China.<br>- The Swedish part of the project is funded by Swedish Energy Agency.<br>- The Polish part of the project is funded by the National Science Centre, Poland (project no. 2022/04/Y/ST8/00134). The value of the co-financing is PLN 878,107.00. Project duration 27/04/2023 - 26/04/2026 (36 months).</p>
Figure 1 in Developing biosecurity plans for non-native species in marine dependent areas: the role of legislation, risk management and stakeholder engagement
Figure 1. Five-stage approach for risk assessment management of NNS in Shetland, adapted from the ecosystem-based risk management framework (Cormier et al. 2013).
Sustainable Mobility Plan at Area Science Park
<p>This dataset contains data related to the Sustainable Mobility Plan (in Italian: PSCL, Piano Spostamenti Casa Lavoro) of Area Science Park (<a href="http://www.areasciencepark.it">www.areasciencepark.it</a>). It includes information on the number of public transport users, the number of trips made, the percentage of trips made by public transport, the average distance travelled, the number of parking spaces available and the occupancy rate of parking spaces. The purpose of the dataset is to provide open access to the information on which planning is based, and to enable the assessment of the implementation of the plan and its impact on mobility.</p> <p>The main objective of the Sustainable Mobility Plan is to describe the current situation and the initiatives launched and planned for the structural and permanent reduction of the environmental impact resulting from systematic home-work mobility. The measures envisaged in the plan concern all the five axes of action suggested by the guidelines and aim at the promotion of agile work, the study of feasibility studies for initiatives in favor of public transport, carpooling, cycle mobility, as well as favoring the use of electric vehicles.</p> <p>Files available:</p> <ul> <li>Conference Paper: “A roadmap to sustainable mobility: harvesting the low-hanging fruits while investing to achieve net zero emissions” presented at IASP 2023 Conference (29/09/2022)</li> <li>PSCL 2021 (document and dashboard)</li> <li>Survey</li> <li>Map</li> </ul>
Data from: Planning for climate change through additions to a national protected area network: implications for cost and configuration
<p>Expanding the network of protected areas is a core strategy for conserving biodiversity in the face of climate change. Here we explore the impacts on reserve network cost and configuration associated with planning for climate change in the United States using networks that prioritize areas projected to be climatically suitable for 1,460 species both today and into the future, climatic refugia, and areas likely to facilitate climate-driven species movements. For 14% of the species, networks of sites selected solely to protect areas currently climatically suitable failed to provide climatically suitable habitat in the future. Protecting sites climatically suitable for species today and in the future significantly changed the distribution of priority sites across the U.S.—increasing relative protection in the northeast, northwest, and central U.S. Protecting areas projected to retain their climatic suitability for species cost 59% more than solely protecting currently suitable areas. Including all climatic refugia and 20% of areas that facilitate climate-driven movements increased the cost by another 18%. Our results indicate that protecting some types of climatic refugia may be a relatively inexpensive adaptation strategy. Moreover, although addressing climate change in conservation plans will have significant implications for the configuration of networks, the increased cost of doing so may be relatively modest.</p> <p> </p>
Data for: Planning for a future of changes: prioritizing areas for conservation of small mammals in the Caatinga, Brazil
<p>Human land use and climate change are two of the main threats affecting biodiversity, especially in arid/semiarid regions. The most effective way to protect the species in these ecosystems against these threats is through the delimitation of Protected Areas (PAs). However, such PAs need to be targeted cost-efficiently and consider future climate change. We identify priority areas to preserve small mammal species in the Caatinga in the present and in the future of climate change. We also evaluate how well these priority areas are protected by current PAs and identify ways forward to improve their protection. We use ecological niche models and Zonation spatial prioritisation software to identify the top 30% priority areas to preserve small mammal species under current climate and land use scenarios, besides considering optimistic and pessimistic scenarios of future climate change. We also evaluate how much these priority areas are covered by current PAs, identify ways to further improve their protection using hierarchical mask analysis, and evaluate species mean distribution coverage. The consequences of climate change will not hugely impact the distribution of priority areas for species conservation in the Caatinga. Around 13% of the identified priority areas overlap with current PAs, and planning the expansion of PAs considering integral protection areas increases the coverage of priority areas to more than 18% and captures more than 72% of species-suitable areas. Our prioritisations take into account climate change and provide low risk if conducted as a "no-regrets" conservation action. These priority areas are poorly supported by the Brazilian PA system, and need of further protection. One cost-effective option could be to upgrade some Sustainable Use PAs into more restrictive ones. Securing these priority areas helps preserve the long-term ecosystem functioning and to prevent biodiversity loss in a changing world.</p>
Planned developments and gated communities in the Los Angeles area, a database (2012) - IP4 Geographie-cités
<p>This database has been produced for the purpose of a project comparing suburban spatial structure of planned development in the Los Angeles region. The main goal was to investigate large subdivisions, planned residential developments, gated communities in a post-suburban realm, in a comparative perspective. The database allows to document the impacts of spatial structure (gated communities, enclosure, seclusion within dead-ends streets) on socio-economic homogeneity.</p> <p>Major descriptors of homogeneity have been measured with housing price and socio-economic characterization of residents (segregation patterns). It contains 2418 features, distributed as polygons and points ESRI shapefiles. <br> This project has been funded by the French National Agency for Research (ANR), in a collaboration with Institut Paris Region.</p>
Data for: Planning for a future of changes: prioritizing areas for conservation of small mammals in the Caatinga, Brazil
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Data from: Planning for climate change through additions to a national protected area network: implications for cost and configuration
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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
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>
Areas of interest for spatial planning in the northern Gulf of Mexico
<p><span>Twelve areas of interest greater than 100 km<sup>2</sup>, presenting relatively high modeled cold-water coral diversity, and located outside a four-kilometer zone of potential influence from oil and gas infrastructure were delineated and deemed of interest for further exploration and spatial planning.</span></p>
Priority areas for boreal songbird conservation in Canada: Results for 128 scenarios based on Zonation conservation planning software
<p>Priority areas for boreal songbird conservation in Canada: Results for 128 scenarios based on Zonation conservation planning software</p> <p>Published in:<br> Stralberg, D., A. Camfield, M. Carlson, C. Lauzon, N. K. S. Barker, A. Westwood, and F. K. A. Schmiegelow. in press. Strategies for identifying priority areas for songbird conservation in Canada's boreal forest. Avian Conservation and Ecology.</p> <p>Scenarios: <br> -----------------<br> # Name<br> 1 Representation<br> 2 Representation + Disturbance<br> 3 Representation + BCR Strata<br> 4 Representation + BCR Strata + Disturbance<br> 5 Representation + Forest Birds<br> 6 Representation + Disturbance + Forest Birds<br> 7 Representation + BCR Strata + Forest Birds <br> 8 Representation + BCR Strata + Disturbance + Forest Birds<br> 9 Representation + Conservation Status<br> 10 Representation + Disturbance + Conservation Status<br> 11 Representation + BCR Strata + Conservation Status<br> 12 Representation + BCR Strata + Disturbance + Conservation Status<br> 13 Representation + Forest Birds + Conservation Status<br> 14 Representation + Disturbance + Forest Birds + Conservation Status<br> 15 Representation + BCR Strata + Forest Birds + Conservation Status<br> 16 Representation + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 17 Representation + Current Uncertainty<br> 18 Representation + Current Uncertainty + Disturbance<br> 19 Representation + Current Uncertainty + BCR Strata<br> 20 Representation + Current Uncertainty + BCR Strata + Disturbance<br> 21 Representation + Current Uncertainty + Forest Birds<br> 22 Representation + Current Uncertainty + Disturbance + Forest Birds<br> 23 Representation + Current Uncertainty + BCR Strata + Forest Birds<br> 24 Representation + Current Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 25 Representation + Current Uncertainty + Conservation Status<br> 26 Representation + Current Uncertainty + Disturbance + Conservation Status<br> 27 Representation + Current Uncertainty + BCR Strata + Conservation Status<br> 28 Representation + Current Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 29 Representation + Current Uncertainty + Forest Birds + Conservation Status<br> 30 Representation + Current Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 31 Representation + Current Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 32 Representation + Current Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 33 Representation + Current/Future Uncertainty<br> 34 Representation + Current/Future Uncertainty + Disturbance<br> 35 Representation + Current/Future Uncertainty + BCR Strata<br> 36 Representation + Current/Future Uncertainty + BCR Strata + Disturbance<br> 37 Representation + Current/Future Uncertainty + Forest Birds<br> 38 Representation + Current/Future Uncertainty + Disturbance + Forest Birds<br> 39 Representation + Current/Future Uncertainty + BCR Strata + Forest Birds<br> 40 Representation + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 41 Representation + Current/Future Uncertainty + Conservation Status<br> 42 Representation + Current/Future Uncertainty + Disturbance + Conservation Status<br> 43 Representation + Current/Future Uncertainty + BCR Strata + Conservation Status<br> 44 Representation + Current/Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 45 Representation + Current/Future Uncertainty + Forest Birds + Conservation Status<br> 46 Representation + Current/Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 47 Representation + Current/Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 48 Representation + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 49 Representation + Future Uncertainty<br> 50 Representation + Future Uncertainty + Disturbance<br> 51 Representation + Future Uncertainty + BCR Strata<br> 52 Representation + Future Uncertainty + BCR Strata + Disturbance<br> 53 Representation + Future Uncertainty + Forest Birds<br> 54 Representation + Future Uncertainty + Disturbance + Forest Birds<br> 55 Representation + Future Uncertainty + BCR Strata + Forest Birds<br> 56 Representation + Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 57 Representation + Future Uncertainty + Conservation Status<br> 58 Representation + Future Uncertainty + Disturbance + Conservation Status<br> 59 Representation + Future Uncertainty + BCR Strata + Conservation Status<br> 60 Representation + Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 61 Representation + Future Uncertainty + Forest Birds + Conservation Status<br> 62 Representation + Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 63 Representation + Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 64 Representation + Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 65 Diversity<br> 66 Diversity + Disturbance<br> 67 Diversity + BCR Strata<br> 68 Diversity + BCR Strata + Disturbance<br> 69 Diversity + Forest Birds<br> 70 Diversity + Disturbance + Forest Birds<br> 71 Diversity + BCR Strata + Forest Birds <br> 72 Diversity + BCR Strata + Disturbance + Forest Birds<br> 73 Diversity + Conservation Status<br> 74 Diversity + Disturbance + Conservation Status<br> 75 Diversity + BCR Strata + Conservation Status<br> 76 Diversity + BCR Strata + Disturbance + Conservation Status<br> 77 Forest Birds + Conservation Status<br> 78 Disturbance + Forest Birds + Conservation Status<br> 79 BCR Strata + Forest Birds + Conservation Status<br> 80 BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 81 Diversity + Current Uncertainty<br> 82 Diversity + Current Uncertainty + Disturbance<br> 83 Diversity + Current Uncertainty + BCR Strata<br> 84 Diversity + Current Uncertainty + BCR Strata + Disturbance<br> 85 Diversity + Current Uncertainty + Forest Birds<br> 86 Diversity + Current Uncertainty + Disturbance + Forest Birds<br> 87 Diversity + Current Uncertainty + BCR Strata + Forest Birds<br> 88 Diversity + Current Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 89 Diversity + Current Uncertainty + Conservation Status<br> 90 Diversity + Current Uncertainty + Disturbance + Conservation Status<br> 91 Diversity + Current Uncertainty + BCR Strata + Conservation Status<br> 92 Diversity + Current Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 93 Diversity + Current Uncertainty + Forest Birds + Conservation Status<br> 94 Diversity + Current Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 95 Diversity + Current Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 96 Diversity + Current Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 97 Diversity + Current/Future Uncertainty<br> 98 Diversity + Current/Future Uncertainty + Disturbance<br> 99 Diversity + Current/Future Uncertainty + BCR Strata<br> 100 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance<br> 101 Diversity + Current/Future Uncertainty + Forest Birds<br> 102 Diversity + Current/Future Uncertainty + Disturbance + Forest Birds<br> 103 Diversity + Current/Future Uncertainty + BCR Strata + Forest Birds<br> 104 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 105 Diversity + Current/Future Uncertainty + Conservation Status<br> 106 Diversity + Current/Future Uncertainty + Disturbance + Conservation Status<br> 107 Diversity + Current/Future Uncertainty + BCR Strata + Conservation Status<br> 108 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 109 Diversity + Current/Future Uncertainty + Forest Birds + Conservation Status<br> 110 Diversity + Current/Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 111 Diversity + Current/Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 112 Diversity + Current/Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status<br> 113 Diversity + Future Uncertainty<br> 114 Diversity + Future Uncertainty + Disturbance<br> 115 Diversity + Future Uncertainty + BCR Strata<br> 116 Diversity + Future Uncertainty + BCR Strata + Disturbance<br> 117 Diversity + Future Uncertainty + Forest Birds<br> 118 Diversity + Future Uncertainty + Disturbance + Forest Birds<br> 119 Diversity + Future Uncertainty + BCR Strata + Forest Birds<br> 120 Diversity + Future Uncertainty + BCR Strata + Disturbance + Forest Birds<br> 121 Diversity + Future Uncertainty + Conservation Status<br> 122 Diversity + Future Uncertainty + Disturbance + Conservation Status<br> 123 Diversity + Future Uncertainty + BCR Strata + Conservation Status<br> 124 Diversity + Future Uncertainty + BCR Strata + Disturbance + Conservation Status<br> 125 Diversity + Future Uncertainty + Forest Birds + Conservation Status<br> 126 Diversity + Future Uncertainty + Disturbance + Forest Birds + Conservation Status<br> 127 Diversity + Future Uncertainty + BCR Strata + Forest Birds + Conservation Status<br> 128 Diversity + Future Uncertainty + BCR Strata + Disturbance + Forest Birds + Conservation Status</p> <p><br> Projection information<br> -------------------<br> "+proj=lcc +lat_1=49 +lat_2=77 +lat_0=0 +lon_0=-95 +x_0=0 +y_0=0 +ellps=GRS80 +units=m +no_defs"<br> -------------------<br> Projection LAMBERT<br> Spheroid GRS80<br> Units METERS<br> Zunits NO<br> Xshift 0.0<br> Yshift 0.0<br> Parameters <br> 49 0 0.0 /* 1st standard parallel<br> 77 0 0.0 /* 2nd standard parallel<br> -95 0 0.0 /* central meridian<br> 0 0 0.0 /* latitude of projection's origin<br> 0.0 /* false easting (meters)<br> 0.0 /* false northing (meters)</p>
Data from: Planning protected areas network that are relevant today and under future climate change is possible: the case of Atlantic Forest endemic birds
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Supplementary material 2 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
Correlation and frequency of key words in planning documents.
Supplementary material 1 from: Hong Qu H, Wang C-J, Zhang Z-X (2018) Planning priority conservation areas under climate change for six plant species with extremely small populations in China. Nature Conservation 25: 89-106. https://doi.org/10.3897/natureconservation.25.20063
Table S1, S2; Figure S1, S2 : Explanation note:
PET Scan to Map the Areas of the Brain Involved in Planning
ClinicalTrials.gov study NCT00001363. IPD Sharing: Not stated. Countries: 1. Publications: 3.
MRI and Diffusion Imaging of Eloquent Brain Areas to Optimize Brain Tumor Resection Planning
ClinicalTrials.gov study NCT01534104. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Magnetic Resonance (MR) Imaging to Determine High Risk Areas in Patients With Malignant Gliomas and to Design Potential Radiation Plans and to Examine Metabolite Changes in Gliomas and Other Solid Tum
ClinicalTrials.gov study NCT00870129. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Climate-informed conservation planning in the swiya: Zonation priorities with ranked protected areas and designated lands
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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)
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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.