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1,580 results for “Vulnerabilities”
Landslide Vulnerability Assessment in Tegalrejo District, Yogyakarta
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Development of a synthetic vulnerable population for four major metropolitan regions in Canada
<p>Code and source data to generate a synthetic population of potentially vulnerable individuals at the DA levels for four canadian metropolitan regions (Calgary, Montreal, Toronto, Vancouver). The repository also includes the results and code to analyse them.</p> <p>It is shared as a complementary material for the article "<em>A synthetic vulnerable population dataset for fine scale geographical equity analysis and policy assessment in urban projects."</em>. (submitted), Jérémy Gelb, Philippe Apparicio, Hamzeh Alizadeh</p>
An integrated method for assessing vulnerability of buildings caused by debris flows
<p>Two datasets are provided for the development of a method in assessing culnerability of buildings caused by future debris flows. The first dataset includes the debris-flow events that caused damages to the buildings, and it is used to develop a physical vulnerability matrix. The second dataset is composed of debris-flow events that occurred in areas without distribution of buildings, and therefore no property loss is caused by these events. This dataset in our study is used for model training and utilize this model to estimate debris-flow density in future scenarios. </p>
Supplementary material 1 from: Calle-Rendón BR, Moreno F, Hilário RR (2018) Vulnerability of mammals to land-use changes in Colombia's postconflict era. Nature Conservation 29: 79-92. https://doi.org/10.3897/natureconservation.29.28943
Table S1 : Explanation note: Mammal species used in the analysis and value of each factor to calculate the sensitivity index of each species (S) is available for this article online.
Figure 5 in Vulnerability to snakebite envenoming: a global mapping of hotspots
Figure 5: Hotspots of vulnerable populations to medically important venomous snake species Hotspots are defined as people living in areas within the range of one or more medically important venomous snake species,and more than 3 h away from major urban centreswith Healthcare Access and Quality Index deciles of 1–3. (A) Pixel-level vulnerability surface (ie,vulnerability to all species of medically important snakes).(B) Aggregated second administrative level vulnerability to all species of medically important venomous snakes,as measured by the absolute number of people.(C) Aggregated second administrative level vulnerability to only those species for which no effective therapy is currently listed by WHO,as measured by the absolute number of people.
Figure 3 in Vulnerability to snakebite envenoming: a global mapping of hotspots
Figure 3: Average traveltime to nearest major city for populations living within snake ranges The light grey areas represent locations withoutthe presence of medically important venomous snake species.
Figure 4 in Vulnerability to snakebite envenoming: a global mapping of hotspots
Figure 4: Proportion of populations living within range of snake species by each HAQ Index decile (A) Populations living within the range of one or more medically important venomous snake species (either category one or two).(B) Populations living within the range of one or more medically important venomous snake species (either category one or two),for which no effective therapy is listed.HAQ=Healthcare Access and Quality.
Figure2 in Vulnerability to snakebite envenoming: a global mapping of hotspots
Figure2: Ranges of venomous snake species and number of medically important venomous snake species per 5 × 5 km location for which no effective therapy is currently listed byWHO (A)Counts range from low (n=1) to high (n=13).The light grey areas represent locations where no medically important venomous snake species are present.(B) Counts range from low (n=1) to high (n=7).The light grey areas represent locations where snake species present have effective therapies listed by WHO,and the dark grey areas represent locations where no medically important venomous snake species are present.
Figure 1 in Vulnerability to snakebite envenoming: a global mapping of hotspots
Figure 1: Conceptual overview of vulnerability to snakebite envenoming (A) Vulnerability can be considered as the intersection of populations who live within the range of venomous snakes that have no antivenoms available, cannot easily access health care,and have poor quality health care in delivery of antivenoms or ensuring necessary stocks.The intersection of all three defines the most vulnerable populations.(B)These factors vary in space.By overlaying these features,the most vulnerable populations can be identified spatially (represented here by the boxes outlined in black).
VUDENC - datasets for vulnerabilities
<p>The datasets (plain) and the embedded datasets (samples X and labels Y) for each of the seven types of vulnerabilities.</p>
Figure 2 in Population densities and home range of the vulnerable Pyrenean brook newt in its core aquatic habitat
Figure 2. Number of captures of the Pyrenean brook newt estimated according to different metrics: mean temperature, mean flow and coefficient of variation of flow; calculated at different time steps: day of capture, last 72h and last month; for Fougax and Salau.The black line indicates the mean of the effects and the grey area indicates the 95% confidence interval.
Figure 1 in Population densities and home range of the vulnerable Pyrenean brook newt in its core aquatic habitat
Figure 1. Location of the three Pyrenean brook newt populations in the Ariège and Aude departments (France). Data source: elevation (ALTI © DB 25 m, IGN), hydrographic network (CARTHAGE © DB, Sandre).
Figure 2 in Niche evolution and diversification in Middle Eastern stream salamanders (Paradactylodon): vulnerability to future climate change
Figure 2. Recent (A: 1970-2000) and future (2081-2100) habitat suitability of Paradactylodon species based on the consensus model under optimistic (B: ssp126) and pessimistic (C: ssp585) scenarios.
Figure 1 in Niche evolution and diversification in Middle Eastern stream salamanders (Paradactylodon): vulnerability to future climate change
Figure 1. Study area. The occurrence records of Paradactylodon species with different colors are shown on the map.
Figure 3 in Niche evolution and diversification in Middle Eastern stream salamanders (Paradactylodon): vulnerability to future climate change
Figure 3. Panels (A-D) illustrate the niche overlap values between two species distribution ranges (see table 3), along the
Topologies, Checkpoints, and Configurations for the paper "GVI-RL: Graph-Invariant RL for Attack Paths Discovery using Vulnerabilities Embedded with Large Language Models"
<p>This repository consists of the <strong>files</strong> related to the <strong>paper</strong> "GVI-RL: Graph-Invariant RL for Attack Paths Discovery using Vulnerabilities Embedded with Large Language Models". In particular, this repository contains tensorboard logs, topologies, checkpoints, seeds, and results to ensure reproducibility of the results of the paper.</p> <p>The results included are related to the training/validation and hyper-parameters optimization of the outcome multi-label classifier, the GVI-RL agent, and the world model.<br>The data folder contains also the topologies used in the study, the vulnerabilities data used to generate them and the dataset for multi-label classification.</p> <p>The README.md file describes the folders' structure.</p>
Data for "Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: A case study on the Italian grid"
<p>Data employed for the paper "Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: A case study on the Italian grid"<br><br>Abstract<br>This study explores compounding impacts of climate change on power system's load and generation, emphasising the need to integrate adaptation and mitigation strategies into investment planning. We combine existing and novel empirical evidence to model impacts on: i) air-conditioning demand; ii) thermal power outages; iii) hydro-power generation shortages. Using a power dispatch and capacity expansion model, we analyse the Italian power system's response to these climate impacts in 2030, integrating mitigation targets and optimising for cost-efficiency at an hourly resolution. We outline different meteorological scenarios to explore the impacts of both average climatic changes and the intensification of extreme weather events. We find that addressing extreme weather in power system planning will require an extra 5-8 GW of photovoltaic (PV) capacity, on top of the 50 GW of the additional solar PV capacity required by the mitigation target alone. Despite the higher initial investments, we find that the adoption of renewable technologies, especially PV, alleviates the power system's vulnerability to climate change and extreme weather events. In fact, renewable energy sources are generally less vulnerable to the impacts of climate change, such as rising temperatures and shifting precipitation patterns, compared to thermal power and hydropower generation. Furthermore, enhancing short-term storage with lithium-ion batteries is crucial to counterbalance the reduced availability of dispatchable hydro generation.</p>
Data analysis of article research tittle "Online GIS and Remote Sensing-Based Mapping of Flood Vulnerability in Samarinda Seberang Subdistrict"
<p>This dataset contains an explanation of data analysis for creating a flood vulnerability map of Samarinda Seberang District. The dataset contains sub-criteria for each flood parameter and its score value. In addition, this dataset contains the weight value of each parameter, flood vulnerability level and its coloring, and the results of calculating the area of each vulnerability level.</p>
D1.3 - Map and report of baseline exposure and vulnerability
<p>This document primarily describes the methodology and summarises the results and conclusions of Task 1.3 – Mapping of coastal cities exposure and vulnerability to climate effects and sea level rise. Itis part of the work included in WP1, whose final objective is to produce a high-level baseline risk map of extreme climate impacts and sea-level rise based on a semi-quantitative assessment of exposure and vulnerability for the ten CCLLs.</p>
Data from: Population genetic structure and connectivity of deep-sea stony corals (Order Scleractinia) in the New Zealand region: implications for the conservation and management of Vulnerable Marine Ecosystems
Deep-sea stony corals, which can be fragile, long-lived, late to mature and habitat-forming, are defined as vulnerable marine ecosystem indicator taxa. Under United Nations resolutions these corals require protection from human disturbance such as fishing. To better understand the vulnerability of stony corals (Goniocorella dumosa, Madrepora oculata, Solenosmilia variabilis) to disturbance within the New Zealand region, and to guide marine protected area design, genetic structure and connectivity were determined using microsatellite loci and DNA sequencing. Analyses compared population genetic differentiation between two biogeographic provinces, amongst three sub-regions (north-central-south), and amongst geomorphic features. Extensive population genetic differentiation was revealed by microsatellite variation, whilst DNA sequencing revealed very little differentiation. For G. dumosa, genetic differentiation existed amongst regions and geomorphic features, but not between provinces. For M. oculata, only a north-central-south regional structure was observed. For S. variabilis, genetic differentiation was observed between provinces, amongst regions and amongst geomorphic features. Populations on the Kermadec Ridge were genetically different from Chatham Rise populations in all three species. A significant isolation-by-depth pattern was observed for both marker types in G. dumosa, and also in ITS of M. oculata. An isolation-by-distance pattern was revealed for microsatellite variation in S. variabilis. Medium to high levels of self-recruitment were detected in all geomorphic populations, and rates and routes of genetic connectivity were species-specific. These patterns of population genetic structure and connectivity at a range of spatial scales indicate that flexible spatial management approaches are required for the conservation of deep-sea corals around New Zealand.
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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.