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1,580 results for “Vulnerabilities”
Genomic insights into local adaptation and future climate-induced vulnerability of a keystone forest tree in East Asia (The genome assembly and annotion fiile)
<p>The genome assembly and annotion fiile used in the manuscript: <strong>Genomic insights into local adaptation and future climate-induced vulnerability of a keystone forest tree in East Asia</strong></p>
Collective navigation as a solution to noisy navigation and its vulnerability to population loss
<p>Many animals use the geomagnetic field to migrate long distances with high accuracy; however, research has shown that individual responses to magnetic cues can be highly variable. Thus, it has been hypothesized that magnetoreception alone is insufficient for accurate migrations, and animals must either switch to a more accurate sensory cue or integrate their magnetic sense over time. Here we suggest that magnetoreceptive migrators could also use collective navigation strategies. Using agent-based models, we compare agents utilizing collective navigation to both the use of a secondary sensory system and time-integration. Our models demonstrate that collective navigation allows for 70% success rates for noisy navigators. To reach the same success rates, a secondary sensory system must provide perfect navigation for over 73% of the migratory route, and time integration must integrate over 50 time-steps, indicating that magnetoreceptive animals could benefit from using collective navigation. Finally, we explore the impact of population loss on animals relying on collective navigation. We show that as population density decreases, a greater proportion of individuals fail to reach their destination and that a 50% population reduction can result in up to a 37% decrease in the proportion of the individuals completing their migration.</p>
A Curated Solidity Smart Contracts Repository of Metrics and Vulnerabilities
<p>SmarthER provides the dataset related to the full-paper accepted to PROMISE 2024 (<a href="https://promiseconf.github.io/2024/index.html" rel="nofollow">https://promiseconf.github.io/2024/index.html</a>) <strong>"A Curated Solidity Smart Contracts Repository of Metrics and Vulnerability"</strong>.</p> <p>Authored by: Giacomo Ibba, Sabrina Aufiero, Rumyana Neykova, Silvia Bartolucci, Roberto Tonelli, Marco Ortu, Giuseppe Destefanis</p> <p>This repository aims to collect a significant sample of smart contracts with associated vulnerability reports, and traditional software metrics extracted from each smart contract. The repository contains:</p> <ul> <li>Smart contracts source code.</li> <li>The vulnerability report was built with Slither for each contract.</li> <li>Traditional software metrics extracted from each contract.</li> </ul>
Temperature and Humidity in vulnerable neighborhoods in Madrid summer 2022 - summer 2023
<p>Data collection (temperature and humidity) in neighborhoods identified with vulnerability indicators in the context of the <strong>MateMAD project</strong>.</p> <p>The data has been collected by <strong>MonitorMAD team </strong>(UPM) through the installation of fixed sensors on streetlight poles in the city of Madrid. The monitored neighborhoods are:</p> <p>- Centro<br>- Delicias - Palos de la Frontera - Legazpi<br>- Orcasitas<br>- San Cristóbal<br>- San Diego<br>- Orcasur</p> <p>The monitoring campaign took place from August 2022 to October 2023 and the equipment installation follows the recommendations of World Meteorological Organization WMO. </p> <p>The equipments used for monitoring are from TandD Corporation, model RTR503BL. Due to exposure to outdoor conditions, the sensor has been protected by an insulated cade and self-ventilated through a photovoltaic-powered extractor. Weather data logging is programmed every 10 minutes, and the data is collected monthly. Furthermore, the data has been grouped by sensor reference. The temperature has been collected in degrees Celsius (accuracy ±0.3°C), and the relative humidity in percentage (accuracy ±5%RH at 25°C, 50%RH).</p> <p>Source of cartographic base: </p> <ul> <li>Ayuntamiento de Madrid. (s. f.). <em>Cartografía municipal por distritos a escala 1:1000, formato SHP, ETRS89</em> [Map]. Urbanismo e infraestructuras. Downloaded 30 de enero de 2023, de <a href="https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=a4f36d34fa86c410VgnVCM2000000c205a0aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD">https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=a4f36d34fa86c410VgnVCM2000000c205a0aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD</a></li> <li>Sede Electrónica del Catastro. (s. f.). <em>Difusión de datos catastrales</em> [Map]. Sede Electrónica del Catastro. Downloaded 30 de abril de 2023, de <a href="https://www.sedecatastro.gob.es/Accesos/SECAccDescargaDatos.aspx">https://www.sedecatastro.gob.es/Accesos/SECAccDescargaDatos.aspx</a></li> </ul>
Fig. 1 in Restricted diet in a vulnerable native turtle, Malaclemys terrapin (Schoepff), on the oceanic islands of Bermuda
Fig. 1. Benthic survey locations in Mangrove Lake (A) and South Pond (B). Squares represent detritus sample locations along the belt transects; triangles represent the pond quadrat sample locations; circles represent the quadrat sample locations in the adjacent wetland communities. M = Mangrove Lake, T = Trott's Pond, S = South Pond, N = North Pond.
Adaptive Behavior of Farmers Under Consecutive Droughts Results In More Vulnerable Farmers: A Large-Scale Agent-Based Modeling Analysis in the Bhima Basin, India
Open the record for dataset details and reuse information.
Terrain variables used for ensemble distribution modelling of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)
<p><em>Aim:</em> Seamounts are conspicuous geological features with an important ecological role and can be considered Vulnerable Marine Ecosystems (VMEs). Since many deep-sea regions remain largely unexplored, investigating the occurrence of VME taxa on seamounts is challenging. Our study aimed to predict the distribution of four cold-water coral (CWC) taxa, indicators for VMEs, in a region where occurrence data is scarce.</p> <p><em>Location: </em>Seamounts around the Cabo Verde Archipelago (NW Africa).</p> <p><em>Methods:</em> We used species presence-absence data obtained from Remotely Operated Vehicle (ROV) footage collected during two research expeditions. Terrain variables calculated using a multiscale approach from a 100 m resolution bathymetry grid, as well as physical oceanographical data from the VIKING20X model, at a native resolution of 1/20°, were used as environmental predictors. Two modelling techniques (Generalized Additive Model (GAM) and Random Forest (RF)) were employed and single-model predictions were combined into a final weighted-average ensemble model. Model performance was validated using different metrics through cross-validation.</p> <p><em>Results</em>: Terrain orientation, at broad-scale, presented one of the highest relative variable contributions to the distribution models of all CWC taxa, suggesting that hydrodynamic-topographic interactions on the seamounts could benefit CWCs by maximizing food supply. However, changes at finer scales in terrain morphology and bottom salinity were important for driving differences in the distribution of specific CWCs. The ensemble model predicted the presence of VME taxa on all seamounts and consistently achieved the highest performance metrics, outperforming individual models. Nonetheless, model extrapolation and uncertainty, measured as the coefficient of variation, were high, particularly, in least surveyed areas across seamounts, highlighting the need to collect more data in future surveys.</p> <p><em>Main conclusions:</em> Our study shows how data-poor areas may be assessed for the likelihood of VMEs and provides important information to guide future research in Cabo Verde, which is fundamental to advise ongoing conservation planning.</p>
IuliaMargineanGitHub/Projecting-Heat-Stress-Vulnerable-Populations-at-Intra-Urban-Scales: Projecting heat stress vulnerable populations at intra-urban scales
<p>This repository provides the data and scripts necessary for full reproduction of results, as well as example datasets that were used for data generation and analysis in the manuscript Marginean et al., "High-resolution Modelling and Projecting Local Dynamics of Differential Vulnerability to Urban Heat Stress".</p> <p>The folders in this repository contain the following:</p> <ol> <li>The input datasets: <ul> <li>shares of educational attainment in 2012 and 2020, by sex, age group and census tract</li> <li>internal migration by sex, age group and census tracts</li> <li>decadal mortality and fertility, by sex, age group, scenario, and census tract</li> </ul> </li> <li>Projected decadal data (2012 to 2050) by sex, age group, scenario and census tract</li> <li>Scripts for generating high resolution projections for three Shared Socioeconomic Pathways (SSPs): one script for SSP 2 projections and one scripts for SSP 1 and SSP 3 projections</li> <li>Example input data to reconstruct the projections in SSP 1, 2 and 3 for females ages 25 to 64</li> </ol>
Fig. 2 in Vulnerability of elasmobranchs caught as bycatch in the grouper longline fishery in the Gulf of Gabès, Tunisia Abstract
Fig. 2: Productivity, susceptibility and vulnerability scores of elasmobranch species caught by the grouper demersal longline fishery in the Gulf of Gabès. Numbers correspond to elasmobranch species as listed in Table 4. The colors represent the relative vulnerability: the green areas being the lowest, the yellow ones being the moderate and the red areas being the highest.
Fig. 1 in Vulnerability of elasmobranchs caught as bycatch in the grouper longline fishery in the Gulf of Gabès, Tunisia Abstract
Fig. 1: Map showing the location of the grouper demersal longline sets surveyed during 2016 () and 2017 () in the Gulf of Gabès.
Assessment of risk and vulnerability to disasters by field protocols and classification trees: an analysis of the Municipal Risk Reduction Plans (MRRP) of São Bernardo do Campo and Franco da Rocha (2020-2021), in Brazil
<p><span>Most disaster risk assessment methodologies were developed by natural science professionals. The UN Sendai Framework confirms the need to include these methods as interweaving complex networks of socially vulnerable financial processes, especially in developing countries. This work aimed to analyze the experience of including social vulnerability information in field protocols of the Municipal Risk Reduction Plans (MRRP) of São Bernardo do Campo and Franco da Rocha (2020-2021). A georeferenced database was structured with data from field protocols on risk sectors and then the relationship between vulnerability and risk was analyzed using the classification tree method. The results show that the geotechnical and social vulnerability variables relevant to risk attribution are largely overlapping over the sectors, but that the integrated analysis of the two dimensions allows a better interpretation of the risk level. However, the models with information from field protocols cannot replace a broader holistic assessment by the specialist in the field. Finally, qualitative reflections are made on the limitations and potential of including aspects of vulnerability in the specific case study.</span></p>
Data from: Agricultural specialisation increases the vulnerability of pollination services for smallholder farmers
<p>Smallholder farms make up 84% of all farms worldwide and feed two billion people. These farms are heavily reliant on ecosystem services and vulnerable to environmental change, yet under-represented in the ecological literature. The high diversity of crops in these systems makes it challenging to identify and manage the best providers of an ecosystem service, such as the best pollinators to meet the needs of multiple crops. It is also unclear whether ecosystem service requirements change as smallholders transition towards more specialised commercial farming – an increasing trend worldwide. Here, we present a new metric for predicting the species providing ecosystem services in diverse multi-crop farming systems. Working in 10 smallholder villages in rural Nepal, we use this metric to test whether key pollinators, and the management actions that support them, differ based on a farmers' agricultural priority (producing nutritious food to feed the family versus generating income from cash crops). We also test whether the resilience of pollination services changes as farmers specialise on cash crops. We show that a farmers' agricultural priority can determine the community of pollinators they rely upon. Wild insects including bumblebees, solitary bees, and flies provided the majority of the pollination service underpinning nutrient production, whilst income generation was much more dependent on a single species - the domesticated honeybee <em>Apis cerana</em>. The significantly lower diversity of pollinators supporting income generation leaves cash crop farmers more vulnerable to pollinator declines. Regardless of a farmers' agricultural priority, the same collection of wild plant species (mostly herbaceous weeds and shrubs) were important for supporting crop pollinators with floral resources. Promoting these wild plants is likely to enhance pollination services for all farmers in the region.</p> <p><em>Synthesis and applications:</em> We highlight the increased vulnerability of pollination services when smallholders transition to specialised cash crop farming and emphasise the role of crop, pollinator, and wild plant diversity in mitigating this risk. The method we present could be readily applied to other smallholder settings across the world to help characterise and manage the ecosystem services underpinning the livelihoods and nutritional health of smallholder families.</p>
MAR2PROTECT - Geodatabase for vulnerability and risk maps
<p>This Dataset includes each of the GIS layers needed for the risk maps as well as the calculations and the final results for each Demo Site in which maps have been produced: Demo Site 3 - Frielas, Demo Site 4 - Emilia-Romagna, Demo Site 5 - Cape Flats and Demo Site 6 - Marbella. </p> <p>The objective was to develop risk vulnerability maps replicable at European scale to assess the vulnerability, hazard, exposure and risk of the different sites so it can be replicable at other sites. It is linked to one of the modules of the REACH Tool: GIS-REACH and the maps and methodology are presented in deliverable 4.3 - Report on the REACH Tool for GC and CC impactos on GW chemical status.</p>
CVEfixes Dataset: Automatically Collected Vulnerabilities and Their Fixes from Open-Source Software
<p><em>CVEfixes</em> is a comprehensive vulnerability dataset that is automatically collected and curated from Common Vulnerabilities and Exposures (CVE) records in the public <a href="https://nvd.nist.gov/">U.S. National Vulnerability Database (NVD)</a>. The goal is to support data-driven security research based on source code and source code metrics related to fixes for CVEs in the NVD by providing detailed information at different interlinked levels of abstraction, such as the commit-, file-, and method level, as well as the repository- and CVE level.</p> <p>This release, v1.0.8, covers all published CVEs up to 23 July 2024. All open-source projects that were reported in CVE records in the NVD in this time frame _and_ had publicly available git repositories were fetched and considered for the construction of this vulnerability dataset. The dataset is organized as a relational database and covers 12107 vulnerability fixing commits in 4249 open source projects for a total of 11873 CVEs in 272 different Common Weakness Enumeration (CWE) types. The dataset includes the source code before and after changing 51342 files and 138974 functions. The collection took 48 hours with 4 workers (AMD EPYC Genoa-X 9684X).</p> <p>This repository includes the SQL dump of the dataset, as well as the JSON for the CVEs and XML of the CWEs at the time of collection. The complete process has been documented in the paper <em>"CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software"</em>, which is published in the Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). You will find a copy of the paper in the Doc folder. </p> <p><em><strong>Citation and Zenodo links</strong></em></p> <p>Please cite this work by referring to the published paper:</p> <ul> <li>Guru Bhandari, Amara Naseer, and Leon Moonen. 2021. CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software. In Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). ACM, 10 pages. <a href="https://doi.org/10.1145/3475960.3475985">https://doi.org/10.1145/3475960.3475985</a></li> </ul> <pre><code>@inproceedings{bhandari2021:cvefixes, title = {{CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software}}, booktitle = {{Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21)}}, author = {Bhandari, Guru and Naseer, Amara and Moonen, Leon}, year = {2021}, pages = {10}, publisher = {{ACM}}, doi = {10.1145/3475960.3475985}, copyright = {Open Access}, isbn = {978-1-4503-8680-7}, language = {en} }</code></pre> <p>The dataset has been released on Zenodo with DOI:<a href="https://doi.org/10.5281/zenodo.4476563">10.5281/zenodo.4476563</a>. The GitHub repository containing the code to automatically collect the dataset can be found at <a href="https://github.com/secureIT-project/CVEfixes">https://github.com/secureIT-project/CVEfixes</a>, released with DOI:<a href="https://doi.org/10.5281/zenodo.5111494">10.5281/zenodo.5111494</a>.</p>
COMMENTS.— Although not breeding in the Mediterranean, the species forages in Libyan waters (van Dijk et al. 2014). In addition to the single beached record, an individual was pulled from nearshore waters of the Tajura coast in 1996 and died in the rehabilitation facility of the Marine Biology Research Centre (MBRC) at Tajura, where it was subsequently taxidermied at the MBRC Museum (Hamza 2010). Capra's (1949) records were based on a report in "L'Idea Coloniale" for 2 May 1927 (Mongàr) and an unspecified specimen in the Museo Civico di Storia Naturale di Trieste (Sella). IUCN THREAT STATUS.— Vulnerable A2bd. MAP 3. Distribution of Dermochelys coriacea in Libya showing stranding site records. in Atlas of the Reptiles of Libya
COMMENTS.— Although not breeding in the Mediterranean, the species forages in Libyan waters (van Dijk et al. 2014). In addition to the single beached record, an individual was pulled from nearshore waters of the Tajura coast in 1996 and died in the rehabilitation facility of the Marine Biology Research Centre (MBRC) at Tajura, where it was subsequently taxidermied at the MBRC Museum (Hamza 2010). Capra's (1949) records were based on a report in "L'Idea Coloniale" for 2 May 1927 (Mongàr) and an unspecified specimen in the Museo Civico di Storia Naturale di Trieste (Sella). IUCN THREAT STATUS.— Vulnerable A2bd. MAP 3. Distribution of Dermochelys coriacea in Libya showing stranding site records.
Figure 2. – Mean abundance per 750 m2 in Changes in distribution patterns of two vulnerable fish species (Epinephelus marginatus and Sciaena umbra) in the Scandola marine reserve (Corsica, NW Mediterranean): a possible effect of increased boat tourism
Figure 2. – Mean abundance per 750 m2 (± SE) of the dusky grouper Epinephelus marginatus (A) and the brown meagre Sciaena umbra (B) according to protection level at Scandola in 2012 and 2018. IR: integral reserve, BZ: buffer zone, UP: unprotected zone. Interannual difference are indicated for each protection level, *: significant at p <0.05, ns: not significant.
Figure 1 in Changes in distribution patterns of two vulnerable fish species (Epinephelus marginatus and Sciaena umbra) in the Scandola marine reserve (Corsica, NW Mediterranean): a possible effect of increased boat tourism
Figure 1. – Location of sites surveyed for dusky grouper and brown meagre populations inside and outside the Scandola MNR (Corsica, NW Mediterranean), according to protection status in summer 2012 and 2018. Dark blue arrows = integral reserve (IR), light blue arrows = buffer zone (BZ), red arrows = unprotected zones (UP). Blue stars = surveyed only in 2012, red star = site surveyed only in 2018.
Figure 5 in Changes in distribution patterns of two vulnerable fish species (Epinephelus marginatus and Sciaena umbra) in the Scandola marine reserve (Corsica, NW Mediterranean): a possible effect of increased boat tourism
Figure 5. – Size structure of Epinephelus marginatus and Sciaena umbra at Scandola in 2012 and 2018. Size classes = 10 cm for the dusky grouper and 5 cm for the brown meagre.
MADFORWATER: WP1: Water and water-related vulnerabilities in Egypt, Morocco and Tunisia: Task1.2: Analysis and mapping of water stress, water vulnerability and potential for water reuse in Egypt, Morocco and Tunisia: Subtask1.2.b: Data collection on water stress and vulnerability: Souss-Massa Region Subset
<p>This folder contains the dataset that I used to write my conference paper "Groundwater Resources Scarcity in Souss-Massa Region and Alternative Solutions for Sustainable Agricultural Development"</p>
Overview of IoT devices and vulnerable classification at CERN
<p>The figure shows the overview of IoT devices connected to the CERN's GPN and vulnerable classification done after the manual vulnerability assessment carried on by us. </p>
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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.