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44 results for “NbS”
Knowledge base for NBS for water treatment and stormwater management
<p>Five tables containing:</p> <ol> <li>nbs_catalog.csv: A catalogue of nature-based solutions for wastewater treatment and stormwater management. For each solution there is information on its performance, types of water, cobenefits, barriers and cost.</li> <li>sci_publications.csv: A list of scientific publications focused on one or several technologies of the above catalogue.</li> <li>sci_publications_treatment_details: For solutions for water treatment, a second table containing data about treatment performance extracted from previous scientific publications.</li> <li>description_nbs_catalog.csv: Descriptors for the catalogue.</li> <li>description_sci_publications_treatment_details.csv: Descriptors for the treatment performance data.</li> </ol> <p>The most updated version of each table can be queried from https://snappapi-v2.icradev.cat/</p>
Database of best practice for pondscape NbS for CC adaptation and mitigation
<p>We built an inventory (database) of Nature-based Solutions (NbS) actions (creation, restoration, and management) in ponds and pondscapes (ponds at the landscape scale) in a diversity of social-ecological settings to assess the best practices. We formulated an online questionnaire that was shared with pond stakeholders. The questionnaire asked general (e.g., number of ponds, area of the pondscape, etc.) and specific (e.g., costs of the action, stakeholders involved, etc.) information on the NbS action implemented, and on 11 associated Nature's Contributions to People (NCPs). Among the NCPs we included, for instance, habitat creation for biodiversity, regulation of climate, learning or physical and physiological experiences. The database contains information gathered through the questionnaire, research papers and relevant web pages and platforms.</p> <p>We used three different approaches to obtain information on NbS actions implemented in ponds/pondscapes and the associated NCPs mainly focusing on Europe and Uruguay: 1) the development of a user-friendly online questionnaire on NbS implemented in ponds/pondscapes and associated NCPs, which was shared in the form of a survey through the platform Survey Monkey with PONDERFUL members and pond Stakeholders; 2) the search of information in research papers; and 3) the search of information on web pages such as <a href="https://oppla.eu/" target="_blank" rel="noopener">https://oppla.eu</a>, <a href="https://renature-project.eu/" target="_blank" rel="noopener">https://renature-project.eu</a>, <a href="https://climate-adapt.eea.europa.eu/" target="_blank" rel="noopener">https://climate-adapt.eea.europa.eu</a>, <a href="https://una.city/" target="_blank" rel="noopener">https://una.city</a>. We requested permissions from the respondents to make the data available.</p>
Emilia-Romagna coastal area NBS (OAL ITALY) for storm surge mitigation
<p>Within the framework of the OPEn-air laboRAtories for Nature baseD solUtions to Manage environmental risks (OPERANDUM) project, the seagrass NBS is presented within a simulation design methodology consisting of the comparison between validated wave numerical simulations for the present/ future climate, and modified wave simulations with marine seagrass. Ten years of WWIII simulations have been executed to generate the wave climatology, particularly over the Emilia-Romagna coastal strip for the present (2010-19) and future climate (2040-49) using MedCordex winds (based on RCP8.5). The WWIII model was modified to include a modified bottom dissipation stress due to submerged vegetation, thereby incorporating the NBS4 as a potential mechanism for wave amplitude reduction. The seagrass species <em>‘Zostera marina’</em> was chosen in this study and an along-shore seagrass belt was first inserted in WWIII and sensitivity experiments were carried out to assess the effects of different types of seagrass landscape designs in the Bellocchio beach. Simulation experiments with and without seagrass (NBS4) were carried out for the present and future climates. Based on the present and future climate simulations, it is noted that the seagrass landscaping is an important aspect in the numerical modelling of vegetation. A combination of broken vegetation stripes and clusters were seen to be effective in reduction of wave energy at the coast in comparison to other landscape designs. The wave height comparisons in the Bellocchio beach, with and without vegetation showed a considerable reduction in wave heights specifically in the higher ranges for both the present and future climates. There exists a strong seasonality in the attenuation rates along the coastal belt with higher attenuations during winter and comparatively lower in summer. In comparison to the present climate, a slightly increased rate of mean attenuation is expected in the future scenarios. Overall, the Zostera Marina seagrass applied for the Emilia-Romagna coastal belt was found to be efficient in reduction of wave energy (> 50%). The limitation being that the experiments were done with rigid seagrass and in the future, we look for advanced parameterization using flexible seagrass.</p> <p>This dataset contains wave model outputs for the OAL-ITALY, mainly:</p> <ul> <li>Bathymetry of the model domain, Spatial maps of mean significant wave height (Hs in m) for present (2010-19) and future climate (2040-49), Seagrass belt position in the Bellocchio beach, Time-series comparison of Hs, with & without vegetation, and Wave attenuation maps.</li> </ul> <ul> <li>Selected locations (station map) for the time series in the Emilia-Romagna coastal belt during the period 2010-19, and 2040-49 (8 stations), Selected locations (station map) in the Emilia-Romagna coastal belt for the time series comparison (with and without vegetation) during the period 2010-19, and 2040-49 (5 stations).</li> </ul> <ul> <li>WW3 time series of wave parameters (wave height, peak period, & direction) for 8 stations in the Emilia-Romagna coastal belt (2010-19, present climate).</li> <li>WW3 time series of significant wave height (Hs in metres) with and without vegetation for 5 stations in the Emilia-Romagna coastal belt (2010-19, present climate).</li> <li>WW3 time series of wave parameters (wave height, peak period, & direction) for 8 stations in the Emilia-Romagna coastal belt (2040-49, future climate).</li> <li>WW3 time series of significant wave height (Hs in metres) with and without vegetation for 5 stations in the Emilia-Romagna coastal belt (2040-49, future climate).</li> </ul>
Multi-temporal digital terrain models of the NBS experiment in OAL-Austria
<p>Multi-temporal digital terrain models of the NBS experiment in OAL-Austria with a spatial resolution of 10cm, derived from 3D point clouds acquired with a terrestrial laser scanner (Riegl-VZ2000i); Projection: EPSG 31254</p> <p>The TLS-monitoring is intended for assessing the stability of the embankment at the NBS field demonstrator in OAL-Austria. The digital terrain models were acquired after applying the ground classification filter proposed by Axelsson (2000)</p>
Repository of NbS guidance material
<p><strong>NbS Guidance Repository </strong></p> <p>The NbS Guidance Repository is a collection of guides, handbooks, manuals, toolboxes, and other guidance materials. These resources are specifically designed to facilitate knowledge brokering and capacity-building on Nature-based Solutions (NbS) for a diverse group of non-academic actors. The guidance materials contain information on specific actions supporting the governance, planning, implementation, management, and monitoring of NbS or related concepts that work with nature, such as Green Infrastructure, Urban Forestry, and Ecosystem-based Adaptation. Additionally, they address challenges related to planning and implementing NbS, including issues with climate change adaptation, biodiversity enhancement, and environmental justice.</p> <p>The repository is established as part of the European Union Horizon 2020 project, CONEXUS, to catalogue the current status of guidance materials. Many European-funded research and innovation projects similarly transferred their gained knowledge and perspectives on NbS through guidance materials. Different platforms, like OPPLA, bring these materials together, yet the focus is Europe-centric. However, as several projects have involved cases outside Europe, such as CONEXUS’ cooperation with Latin American cities, this repository specifically included guidance materials from or relevant to Latin America. Thus, the collected guidance material focuses on urban contexts in Latin America and Europe, but materials with a global emphasis are also included. The materials are available in digital format, as PDFs (portable digital documents) or websites, to ensure easy accessibility.</p> <p>The guidance materials were collected from different avenues, such as published literature like the review of European NbS projects by <a href="https://research-and-innovation.ec.europa.eu/knowledge-publications-tools-and-data/publications/all-publications/nature-based-solutions-state-art-eu-funded-projects_en" target="_blank" rel="noopener">Wild et al. (2020)</a> and resource databases like NetworkNature. To supplement the collected guidance materials with more examples relevant to Latin America, CONEXUS partners and practitioners from the region who were engaged were asked to mention the NbS guidance materials they know about. Additional materials were collected through an internet search using the Google search engine in Spanish and Portuguese and through snowballing. As the focus is on materials targeted at non-academic users, scientific databases were not consulted.</p>
Monitoring NBS for coastal erosion and marine flooding: the Emilia-Romagna case study
<p>The study was conducted in the context of the OPERANDUM project which is an H2020 project which aims at providing tools and methodologies for the assessment of NBS efficiency around the world. As NBS will be tested an artificial dune built with natural materials. </p> <p>The artificial dune is an engineered structure that will mimic the functioning of natural dunes. Its aims are reducing both natural dune erosion and flooding in adjacent coastal lowlands. It consists of a barrier between the sea and land, in a similar way to a seawall. Unlike the latter, the NBS are ‘dynamic’, i.e. the dune/beach system interacts a great deal and is constantly undergoing small adjustments in response to changes in wind and wave climate or sea level. Its construction involves the placement of sediment from dredged sources on the beach and it will be reinforced with a structure composed of biodegradable material. Different typologies of experimental solutions are foreseen.</p> <p>The Bellocchio Beach at Lido di Spina (Italy) was initially chosen for the study, however the Volano beach was selected as the new study area because of the strong erosion caused by an intense storm event in December 2020 at Bellocchio. The dune was built on the Volano beach and monitoring surveys were carried out on this new site. </p> <p>A morphological monitoring aimed to assess the beach evolution and the performance of the NBS were performed. Monitoring of morphology evolution of shoreline and inland area provide information about impact of the NBS on coastal erosion. Furthermore, the changes in the form of the work give information about the resistance of the NBS to wave attacks. Sedimentological campaigns have been planned in order to provide information regarding the texture of the sediments present in the area detected and possibly highlight changes after the construction of the dune.</p> <p>Three monitoring campaigns were carried out before, immediately after and six months later the construction of the dune (January, May and October 2022). All data were analysed to assess local coastal dynamics and NBS evolution. </p> <p>The monitoring consisted of: </p> <ul> <li> <p>topographic and bathymetric surveys (GNSS and multibeam/singlebeam echosounder) to generate DTMs of the entire area (10 m cell size); </p> </li> <li> <p>aerial photogrammetric surveys by UAV for the production of orthophotos and high resolutions DTMs of the emerged beach (1m cell size) and of the dune area (0.2 m cell size); </p> </li> <li> <p>sediment sampling and grain size analysis. </p> </li> </ul> <p>Surveys show that morphological and sedimentological changes are determined mostly by anthropic actions to the beach and seabed maintenance (artificial winter banks and Sacca di Goro channel). </p> <p>Regarding the dune area no significant changes in morphology were observed due to the limited period between the surveys. Appreciable signals were detected, such as the natural recolonization by pioneer plant species and the slight sand accumulation on the dune foot.</p> <p>This dataset consists of data related to monitoring activities. </p>
Citizen Perception of the NBS in Valladolid city
<p>Citizens’ perceptions, both individuals and communities, are essential when evaluating the well-being benefits from urban green spaces (Kothencz et al, 2017). Public and stakeholder perceptions of urban nature, and specifically the quality or functionality of nature, are critical to our understanding of the “value” people place on local environments (Priego et al., 2008).</p> <p>Exploring visitors’ perceptions of green spaces is challenging as it depends on cognitive, affective, and behavioural components and, therefore, sensory perceptions are individually different (Kothencz et al, 2017).</p> <p>This KPI measures identified green space characteristics by the two following well-being variables and one geolocation variable:</p> <ul> <li>Green space visitors’ level of satisfaction. Directly related with the urban green space (UGS) quality.</li> <li>Self-reported quality of life (QoL).</li> <li>Frequency of green space visitors’ crowd-sourced geo-tagged data in NBS sites.</li> </ul> <p>Visitors’ level of satisfaction and perceived QoL contributions of UGS are key individual-level measures that are subjectively affected by area-based green space characteristics.</p> <p>This KPI will reflect on how people assess change in their local environments in terms of satisfaction, quality of life and citizens’ presence of urban green space (UGS) at a site (NBS), neighbourhood and city scale.</p>
Noise Reduction by NBS in Valladolid city
<p>Noise pollution by traffic, construction works, etc. is a common city problem. Nuisance from noise is detrimental to neighbourhood liveability, living comfort and work environments, and can increase risk of serious health problems such as hearing loss and cardiovascular disease.</p> <p>Urban ecosystems provide noise reduction services by serving as a natural sound buffer. Vegetation provides both a direct and an indirect barrier to environmental noise. Starting with its direct functions, green belts attenuate noise by absorption, dispersal, and destructive interference of sound waves, though sound levels can intensify locally if measured right below tree crowns. Indirect noise reduction effects are generated by lessened wind speeds and the absorptive capacity of pervious soils. UGS also proved to offer noise reducing services via psychological effects: just observing the presence of a green wall can lead people to perceive less noise nuisance or alter the perception of noise as sounds such as flowing water, bird singing, and leaves rustling in the wind mask disturbing background noise.</p> <p>On the other hand, the methodology proposed for this KPI is based and uses the methodology and tools proposed by the European Commission Working Group Assessment of Exposure to Noise (WG-AEN).</p> <p>The Environmental Noise Directive (END) requires two main indicators to be applied in the assessment and management of environmental noise. The first indicator (Lden) is the noise level for the day, evening and night periods and is designed to measure ‘annoyance’. The END defines an Lden threshold of 55 dB. The second indicator (Lnight) is the noise level for night-time periods and is designed to assess sleep disturbance. The END defines an Lnight threshold of 50 dB. Member States must report the numbers of people who are exposed to noise levels above both thresholds for each noise source (e.g. roads, railways, airports, industry).</p>
CoUDlabs_TA_OTHU-SuDS-NBS-RECON: Correlating plant health with soil moisture in NBS
<p>This repository contains the dataset ‘CoUDlabs_TA_OTHU-SuDS-NBS-RECON: Correlating plant health with soil moisture in NBS’ which is a result from the Transnational Access, within Co-UDlabs project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101008626. </p> <p>These experiments introduce a new approach which uses low-cost multi-spectral camera (Plant-o-Meter) to estimate plant health (through various parameters) to link with soil moisture of the bioretention systems (biofilters and green roof) as a common element of nature-based solutions (NBS). Soil moisture is used as a proxy for polluted water retention and pollutant removal within the system. The aim of this work is to provide a proof of concept for indirect measurement of urban polluted water treatment through different types of NBS. The experiments have been done on real stormwater biofilters, under controlled conditions (artificial irrigation). Data from the experimental campaign presented here will help to understand fundamental correlations between plant health parameters and the change in soil moisture, giving us a tool for quick assessment of the need for maintenance of various NBS as a crucial parts of UD systems.</p> <p>The authors acknowledge financial support from the European Union under the Horizon 2020 program within a contract for Integrating Activities for Starting Communities (Ref. 101008626)</p> <p>>>>For detailed description of the dataset, please see <a href="https://zenodo.org/api/records/14191602/draft/files/README_NBS-RECON_dataset.txt/content" target="_blank" rel="noopener noreferrer">README_NBS-RECON_dataset.txt</a> and <a href="https://zenodo.org/api/records/14191602/draft/files/CoUDlabsDataStorageReport_NBS-RECON.docx/content" target="_blank" rel="noopener noreferrer">CoUDlabsDataStorageReport_NBS-RECON.docx</a></p>
Field setup and metadata of the NBS monitoring experiment in OAL-Austria
<p>Field setup and metadata of the NBS monitoring experiment assessing the performance of a prototype of a bio-degradable bentonite mat conducted in OAL-Austria, including the locations of</p> <p>- the ground control points (GCPs) measured with the help of a differential global navigation satellite system (DGNSS)</p> <p>- the dynamic cone penetration tests (DCPTs)</p> <p>- probes of the electrical resistivity tomography (ERT) monitoring (4 transects)</p> <p>- positions of the individual terrestrial laser scans (TLS)</p> <p>- locations of the continuous soil moisture monitoring based on time-domain reflectometry (TDR)</p> <p> </p>
Dynamic cone penetration tests conducted at the NBS site in OAL-Austria
<p>Dynamic cone penetration tests conducted at the NBS site in OAL-Austria to infer the regolith depth and penetration resistance</p> <p>A light-weight CPT device was used, dropping a defined weight of 10kg from a defined height, while recording the number of strokes required for penetrating the soil material in vertical increments of 10 cm. </p>
Рис. 2. UPGMA-ΑенΑрограмма схоΑства виΑового состава (А) и фаунистическая структура (B) сообществ земΛероек в пяти ΛокаΛитетах Амурской обΛасти: ЗЗ — Зейский заповеΑник; НЗ — Норский заповеΑник; ХЗ — Хинганский заповеΑник; ЧФЗ — ХинганоАрхаринский заказник; НБС — территория зоны вΛияния Нижнебурейской ГЭС. ΔТФ — Αревнетаежная фауна; БФ — бореаΛьная фауна; НФ — немораΛьная фауна; Αр. — преΑставитеΛи Αругих фауногенетических группировок (пояснения в тексте) Fig. 2. UPGMA dendrogram of species composition similarity (A) and fauna structure (B) of shrew communities in five Amur region localities: ZZ — Zeya nature reserve; NZ — Norsky nature reserve; KhZ — Khingansky nature reserve; ChFZ — KhinganoArkharinsky nature reserve; NBS — the area influenced by the Nizhnebureyskaya hydroelectric power station. DTP — ancient taiga fauna; BF — boreal fauna; NF — nemoral fauna; others — representatives of other faunagenetic groups (explained in the text) in Shrew species composition and fauna structure in the Norsky reserve
Рис. 2. UPGMA-ΑенΑрограмма схоΑства виΑового состава (А) и фаунистическая структура (B) сообществ земΛероек в пяти ΛокаΛитетах Амурской обΛасти: ЗЗ — Зейский заповеΑник; НЗ — Норский заповеΑник; ХЗ — Хинганский заповеΑник; ЧФЗ — ХинганоАрхаринский заказник; НБС — территория зоны вΛияния Нижнебурейской ГЭС. ΔТФ — Αревнетаежная фауна; БФ — бореаΛьная фауна; НФ — немораΛьная фауна; Αр. — преΑставитеΛи Αругих фауногенетических группировок (пояснения в тексте) Fig. 2. UPGMA dendrogram of species composition similarity (A) and fauna structure (B) of shrew communities in five Amur region localities: ZZ — Zeya nature reserve; NZ — Norsky nature reserve; KhZ — Khingansky nature reserve; ChFZ — KhinganoArkharinsky nature reserve; NBS — the area influenced by the Nizhnebureyskaya hydroelectric power station. DTP — ancient taiga fauna; BF — boreal fauna; NF — nemoral fauna; others — representatives of other faunagenetic groups (explained in the text)
Data set for "On the interplay between lipids and asymmetric dynamics of an NBS degenerate ABC transporter"
<p>Supplementary data from molecular dynamics simulations performed on different states of bMRP1 (IF apo, IF ATP- and/or LTX-bound, as well as OF ATP-bound states) and embedded in different lipid bilayer membranes (namely POPC, POPE, POPC:POPE (3:1), POPC-Chol (3:1) and POPC:POPE:Chol (2:1:1).</p> <p>Are included:</p> <p>- Initial and postMD data</p> <p>- MD inputs used</p> <p>- Raw source data used for plot (ABC structural parameters, H-bond and non-covalent analyses, lipid order parameters, and efficiencies from Allopath tool)</p> <p>- PCA supplementary movies (PC1)</p>
Recreational Value of the NBS for Valladolid city
<p>Key Performance Indicator calculated for the H2020 UrbanGreenUP project for Valladolid city. </p>
Crime Reduction by the NBS during the UrbanGreenUP project in Valladolid city
<p>This indicator is included in the list of indicators <em>Challenge 8. Social Justice and Social Cohesion</em>.</p> <p>According to Oxford dictionary, crime is an action or omission which constitutes an offence and is punishable by law.</p> <p>The installation of urban furniture as a measure of protection against crime, vandalism and terrorist acts has been developing successfully since the 70s and it is called “Crime Prevention Through Environmental Design (CPTE)”. The main technique is to reduce crime opportunities through modification and manipulation of the built environment that make it more difficult (Massoomeh et al, 2016).</p> <p>Green Infrastructures can help to reduce the causes and opportunities crime and vandalism because the structures that look well cared for discourage crime and increase social justice and cohesion. It is a measure that through well planning, designing and managing of the built environment (Massoomeh et al, 2016).</p>
Social Acceptance Data for NBS
<p>The data is collected for METU Forest in Ankara, Turkey; Tisza River Bank in Szeged, Hungary; Forest Garden in Alcalá de Henares, Spain; and Quarries in Milan, Italy to determine the factors of social acceptance as a task for Nature4Cities Horizon 2020 project.</p>
Genova - Land and property value in proximity to NBS
<p>Results of a questionnaire evaluating the land and property value change in proximity to NBS in Genova.</p>
BD_Delphi-validation_NbS-CoBAs-tool
<p>2 BBDD of the Delphi validation of tool for NbS psychosocial benefits assessment in urban regeneration processes (<em>NbS-CoBAs tool</em>): A panel of 10 experts in different fields (environmental and social psychology, urbanism, urban regeneration, and Nature-based Solutions) were involved in the validation process with Delphi. The two data bases are from the first and the second steps of the Delphi method.</p>
Questionnaires and database from NbS-CoBAs tool
<p>Supplementary material for the validation of the NbS-CoBAs tool using the Delphi method. It contains the questionnaires used in the two phases, as well as the database (excel files) of the answers of the participating experts (n=10) in each step.</p>
Archetypes of Nature-based Solutions (NbS) for farming in the North York Moors National Park
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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.