Find research datasets worth reusing

opencc-by-4.0Nov 2023View details →

Data: Greater local cooling effects of trees across globally distributed urban green spaces

The dataset used for hierarchical linear mixed effects models in the R code during the study. The description of the column names is provided in the readme file.

opencc-by-4.0Nov 2023View details →

Dataset from publication "Predicting context-sensitive urban green space quality to support urban green infrastructure planning"

Data Description:This dataset presents the spatial outcome of an analysis modelling perceived green space quality across the city of Espoo, Finland. The analysis relies on data gathered through the My Espoo on the Map survey (Mun Espoo kartalla) in the autumn of 2020 as part of the NordForsk-funded research project NORDGREEN. A comprehensive account of the analytical process and potential applications of the dataset is available in the associated publication, "Predicting context-sensitive urban green space quality to support urban green infrastructure planning" (open access: <a href="https://doi.org/10.1016/j.landurbplan.2023.104952">https://doi.org/10.1016/j.landurbplan.2023.104952</a>).Data Processing:This dataset results from an analysis that integrates both primary and secondary sources of geospatial data. The primary data were collected with an online public participation GIS (PPGIS) survey directed for the adult inhabitants of Espoo. The data collection took place in September-October 2020 and was executed in collaboration with Aalto University and the City of Espoo. For a detailed overview of the data collection process, please refer to the related publication.Data characteristics:Format: Shapefile (50m x 50m grid)Geographical area: Espoo, FinlandSpatial reference: EUREF FIN TM35FINNote: Only grid cells intersecting with greenspace have been included in the dataset. For the employed definition of green areas, please consult the related publication.Data attributes and their descriptions:"P_PROB": Probability (P), positive perceived quality"N_PROB": Probability (P), negative perceived qualityFunding: This research was funded by NordForsk, Sustainable Urban Development and Smart Cities Programme, Project Smart Planning for Healthy and Green and Nordic Cities – NORDGREEN, under Grant Number: 95322.

opencc-zeroApr 2024View details →

Data from: neglected puzzle pieces of urban green infrastructure: richness, cover, and composition of insect-pollinated plants in traffic-related green spaces

Insect-pollinated vascular plants in spontaneous vegetation provide essential ecosystem services and benefit wildlife. However, floral communities associated with traffic-related green spaces are rarely considered valuable elements of urban green infrastructure (UGI). The dataset contains information on species-based floral communities of vascular insect-pollinated plants in traffic-related green spaces in three highly populated Finnish cities. Those are Helsinki (665 558 inhabitants), Tampere (244 029 inhabitants), and Turku (175 645 inhabitants). Data were collected during the mean flowering phenophase of vascular plants in July-August 2022 from two types of locations: (i) urban (city centers) and (ii) suburban (city outskirts), and from three types of traffic-related green spaces: (i) traffic islands, (ii) parking lots, (iii) road verges. The dataset contains information for the 93 vascular insect-pollinated plant species flowering during the survey. Sampling campaign was conducted in 90 sampling sites, and the dataset contains information on the location coordinates. In addition, the dataset possesses information on the amount of garbage pieces (cigarette filters, plastic boxes, or scraps) revealed for each sampling point in traffic-related green spaces.

opencc-zeroJul 2022View details →

How does the selection of National Development Zones affect urban green innovation?

The launch of the selection process for National Development Zones (NDZs) marked a fundamental change in the construction of development zones, making it an essential position for local authorities to implement high-quality development. Based on the data of prefecture-level cities in China from 2000 to 2018, this paper examines the impact and mechanism of selecting NDZs on urban green innovation through a double-difference spatial durbin model using the selection of NDZs as a "quasi-natural experiment". The study finds that the selection of NDZs can promote green innovation in cities and has a significant window-radiating effect. The heterogeneity test results show that the implementation of the selection policy for development zones in non-old industrial cities, large and medium-sized cities, cities with easy access to transportation, and cities with high market orientation are more likely to promote urban green innovation. At the same time, the higher the level of government governance and the better the level of economic development of the development zones, the more it helps to realize the effects of the selection policy. The results of the mechanism test show that the selection of NDZs has a positive impact on urban green innovation through environmental regulation effects, resource allocation effects, and policy amplification effects. Data on development zones are sourced from the China Directory of Development Zones Audit and Announcement (2006) and the China Directory of Development Zones Audit and Announcement (2018 Edition)(http://www.gov.cn/xinwen/2018-03/03/content_5270330.htm); data on patents are sourced from the China Intellectual Property Office (https://www.cnipa.gov.cn/); Other city-level data from China City Statistical Yearbook, China Regional Economic Statistical Yearbook, China Statistical Yearbook (https://data.cnki.net/Yearbook/Navi?type=type&code=A). Our data is collated from the above sources using Python software.

Fig. 7 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)

Fig. 7. Principal pollination pediod for ornamental flora in the studied gardens.

Fig. 3 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)

Fig. 3. Origin for ornamental flora in the studied gardens.

Fig. 4 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)

Fig. 4. Pollination strategy for ornamental flora in the studied gardens.

Fig. 1 in Urban Green Areas, Recreational Use And Health Impact Of Victory Gardens (Córdoba - Spain)

Fig. 1. Map showing the location of Córdoba city.

opencc-by-4.0Aug 2021View details →

Assessing Urban Green Space Accessibility in Amsterdam

This is dataset is an ArcGIS Pro project was used to calculate walking distance from buildings to Urban Green Spaces (UGS) within the municipality of Amsterdam. This was made as part of an MSc Earth Sciences thesis aimed at assessing UGS and heat exposure in Amsterdam. The thesis is based on the idea that UGS function as cool spaces within the urban heat island of the city, and thus provides lower temperatures to urban residents, specifically during hot summer months, therefore reducing the risk of heat stress and heat-related illnesses and morbidity.

opencc-by-4.0Nov 2022View details →

Green Space Management - Urban Green as perceived by citizens

This dataset contains the results, as csv file, of the monitoring surveys of green space management as perceived by citizens. The resources will be 1) results from first survey (summer 2021) and 2) results from the 2nd survey (TBD). Some of the most interesting columns in the results Column 9 ("Quartiere") is the residential area of the citizen. Column 10 ("Indirizzo"), when available, is the street where the citizen lives Column 11, ("Freq_parco"), when available, is the frequency with which the citizen visit a green area/park in the town Column 18, ("Distanza_parco"), when available, is the distance in minutes to reach a park

opencc-by-4.0Feb 2023View details →

Data on youth understandings of and attitudes towards carbon-smart urban green infrastructure in Kumpula, Helsinki

A workshop survey -dataset detailing youth understandings of and attitudes towards carbon-smart urban green infrastructure in Kumpula, Helsinki, Finland.

opencc-by-4.0Feb 2023View details →

Tampere - Urban green space accessibility and distribution

Results of the evaluation of urban green space accessibility and distribution in Vuores neighbourhood in Tampere.

opencc-zeroJul 2023View details →

Data from: Concrete survivors: The herpetofauna of an urban green area over 100 years of increasing urbanization

The goal of our study was to evaluate changes in the assemblage of reptiles in an urban habitat over 100 years of increasing urbanization, aiming to identify which ecological attributes allowed the persistence of species that can be found in the area today. To accomplish that, we accessed historical records in two important scientific collections for the study area and carried out fieldwork to access the current reptile assemblage in an urban green area, in São Paulo, Brazil. The dataset presented here is the result of all individuals collected in the study area between 1908 and 2019, including also the animals collected by the authors during the fieldwork carried out in 2016 and preserved in the collection.

opencc-zeroOct 2023View details →

From green to red: Urban heat stress drives leaf color evolution

Urban environments, occupying approximately 1% of total land area, often impose novel biotic and abiotic selective pressures on organisms and provide valuable opportunities to understand the eco-evolutionary dynamics between nature and human societies. Prevalence of impervious surface and resulting higher temperatures in urban areas, known as urban heat islands, comprises prominent characteristics in global cities. However, it is not known whether and how urban plants adapt to such heat stress. This study focused on Oxalis corniculata, which has intraspecific polymorphism in leaf color (green, red), and examined whether the leaf color variation is associated with urban heat stress. Field observations revealed consistent associations between leaf color and habitat types (green vs. urban) at local (< 500m), landscape (< 50km), and global scales. Green-leaved plants were dominant in green habitats, and red-leaved individuals had increased in number in urban habitats. Growth and photosynthesis experiments indicated the adaptive benefit and cost of red/green leaves associated with heat stresses. Red-leaved individuals had higher growth rates and photosynthetic efficiency under heat stress, while green-leaved individuals displayed higher growth rates and photosynthetic efficiency under non-stressful conditions. Genome-wide SNP analysis suggests that the red leaf trait may have evolved multiple times from the ancestral green leaf, rather than spreading from a single origin of red leaf evolution. Overall, the results suggested that the dominance of red leaves of O. corniculata seen in cities worldwide would be evidence of plant adaptative evolution due to urban heat islands.