Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,709
datasets available to search
ShareScore release 0.9.0
Dataset results
3,709 results for “urbanization.”
Supplementary material 7 from: Stanley CH, Hecht R, Cakir S, Brzoska P (2022) Approach to user group-specific assessment of urban green spaces for a more equitable supply exemplified by the elderly population. One Ecosystem 7: e83325. https://doi.org/10.3897/oneeco.7.e83325
Supplementary material 7
Supplementary material 1 from: Zhao M, Tian Y, Dong N, Hu Y, Tian G, Lei Y (2022) Spatial and temporal dynamics of habitat quality in response to socioeconomic and landscape patterns in the context of urbanization: A case in Zhengzhou City, China. Nature Conservation 48: 185-212. https://doi.org/10.3897/natureconservation.48.85179
Notes on the data
A GDM-GTWR Coupled Model for Spatiotemporal Heteroge-neity Quantification of CO2 Emissions: A case of the Yangtze River Delta Urban Agglomeration from 2000 to 2017
<p>The compressed package contains some pictures and data on the paper.</p>
Data from: Contrasting responses in community structure and phenology of migratory and non-migratory pollinators to urbanization
[No abstract entered]
drivers and barriers for urban smarf farming
<p>Psychological research on perceptions on Urban Smart Farming is scarce, especially in a Global South context. To reach wide acceptance and create effective strategies for implementation, we need insights into what makes people hesitate and what would be perceived as motivating factor to engage in community led Urban Smart Farming projects. This article will present the systematic assessment of perceived drivers and barriers for Urban Smart Farming, based on a survey study in three African countries, South Africa, Nigeria, and Zambia. Each country turned out to have a unique pattern of drivers and barriers predicting intentions to engage in urban smart farming. Overall, common drivers have been found to be community wellbeing and opportunities for young people. Common perceived barriers that emerged in our assessment are a lack of trust and knowledge as well as a lack of funding. Demographics have been found to play less of a role in predicting intentions to be involved in Urban Smart Farming projects. We recommend practitioners to assess each region individually to promote innovative farming techniques appropriately. </p>
Supplementary material 2 from: Brzoska P, Fügener T, Moderow U, Ziemann A, Schünemann C, Westermann J, Grunewald K, Maul L (2022) Towards a web tool for assessing the impact of climate change adaptation measures on heat stress at urban site level. One Ecosystem 7: e85559. https://doi.org/10.3897/oneeco.7.e85559
Table of data inputs/outputs
Supplementary material 1 from: Brzoska P, Fügener T, Moderow U, Ziemann A, Schünemann C, Westermann J, Grunewald K, Maul L (2022) Towards a web tool for assessing the impact of climate change adaptation measures on heat stress at urban site level. One Ecosystem 7: e85559. https://doi.org/10.3897/oneeco.7.e85559
Results of the internet search
Supplementary material 3 from: Wübbelmann T, Bouwer LM, Förster K, Bender S, Burkhard B (2022) Urban ecosystems and heavy rainfall – A Flood Regulating Ecosystem Service modelling approach for extreme events on the local scale. One Ecosystem 7: e87458. https://doi.org/10.3897/oneeco.7.e87458
Maps of the individual potential FRES demand indicators
Supplementary material 2 from: Wübbelmann T, Bouwer LM, Förster K, Bender S, Burkhard B (2022) Urban ecosystems and heavy rainfall – A Flood Regulating Ecosystem Service modelling approach for extreme events on the local scale. One Ecosystem 7: e87458. https://doi.org/10.3897/oneeco.7.e87458
Table of the scaled Flood Regulating Ecosystem Services indicators and categories
Supplementary material 1 from: Wübbelmann T, Bouwer LM, Förster K, Bender S, Burkhard B (2022) Urban ecosystems and heavy rainfall – A Flood Regulating Ecosystem Service modelling approach for extreme events on the local scale. One Ecosystem 7: e87458. https://doi.org/10.3897/oneeco.7.e87458
Ratio of FRES supply and flood hazard
Fig. 5 in Occurrence And Abundance Of Invasive And Native Arion Slugs In Three Types Of Habitats In Urban Area Of Wrocław (Sw Poland)
Fig. 5. Distal parts of the genitalia of Arion rufus: (a) upper atrium, (b) atrium opened to reveal the C-shaped ligula; Arion vulgaris: (c) long dilated part of oviduct, (d) distal oviduct opened to reveal the elongate, symmetric ligula; hybrid: (e) copulatory organ, (f) copulatory organ opened to reveal the ligula with an appearance of an oval plate. Abbreviations: co – copulatory organ, do – dilated oviduct, ep – epiphallus, li – ligula, ua – upper atrium. Scale bar 5 mm
Supplementary material 1 from: Sprondel N, Donner J, Mahlkow N, Köppel J (2016) Urban climate and heat stress: how likely is the implementation of adaptation measures in mid-latitude cities? The case of façade greening analyzed with Bayesian networks. One Ecosystem 1: e9280. https://doi.org/10.3897/oneeco.1.e9280
Questionnaire for Bayesian network analysis
Figure 9 from: Argañaraz CI, Gleiser RM (2017) Does urbanization have positive or negative effects on Crab spider (Araneae: Thomisidae) diversity? Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e19987
Figure 9 - Non-Metric Multidimensional Scaling of three habitat categories (urban, suburban and external) in Córdoba city, Argentina. Bray-Curtis similarity index was used (two axes, stress = 0.16). Urban sites are represented by cyan triangles, suburban sites by red squares and external sites by oranges circles.
Figure 2-7 from: Argañaraz CI, Gleiser RM (2017) Does urbanization have positive or negative effects on Crab spider (Araneae: Thomisidae) diversity? Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e19987
Figure 2-7 Details of typical sampling sites in Córdoba city, Argentina: (2–3) external sites; (4–5) suburban sites; (6–7) urban sites.
Figure 8 from: Argañaraz CI, Gleiser RM (2017) Does urbanization have positive or negative effects on Crab spider (Araneae: Thomisidae) diversity? Zoologia 34: 1-8. https://doi.org/10.3897/zoologia.34.e19987
Figure 8 - Diversity profiles from three habitat categories in Córdoba city, Argentina. Alpha values are represented on X axis and diversity values on Y axis. Urban, suburban and external categories are represented by solid cyan, red and orange lines, respectively and their 95% confidence intervals by dashed lines.
Figure 2 from: Tonetti VR, Rego MA, De Luca AC, Develey PF, Schunck F, Silveira LF (2017) Historical knowledge, richness and relative representativeness of the avifauna of the largest native urban rainforest in the world. Zoologia 34: 1-18. https://doi.org/10.3897/zoologia.34.e13728
Figure 2 - Dendogram with Atlantic Forest regions based on their bird community using Hierarchical Cluster Analysis (Mountford's distance coefficient; a) and the Principal Coordinate Analysis of these areas (b). 1 = Morro do Diabo State Park; 2 = Mata dos Godoy State Park; 3 = Caetetus Ecological Station; 4 = Rio Claro Farm; 5 = Intervales State Park; 6 = Barreiro Rico Ecological Station; 7 = Carlos Botelho State Park; 8 = Ilha Comprida; 9 = Morro Grande Reserve; 10 = Porto Ferreira (Porto Ferreira and Vassununga State Parks); 11 = Serra da Cantareira; 12 = Boracéia Biological Station; 13 = Campos do Jordão (composed by Mananciais de Campos do Jordão and Campos do Jordão State Parks); 14 = Ubatuba; 15 = Itatiaia National Park.
Figure 3 from: Tonetti VR, Rego MA, De Luca AC, Develey PF, Schunck F, Silveira LF (2017) Historical knowledge, richness and relative representativeness of the avifauna of the largest native urban rainforest in the world. Zoologia 34: 1-18. https://doi.org/10.3897/zoologia.34.e13728
Figure 3 - Number of species reported by different sources during different periods in Serra da Cantareira. Museums: specimens deposited in ornithological collections between 1901 and 1992; Graham: Graham 1992; Authors: species recorded by the authors during unsystematic surveys; WA: WikiAves 2016; XC: Xeno-Canto 2016; Recent literature: Figueiredo and Loo 2000, Develey and Endrigo 2004, Fonseca and Antunes 2007, Antunes et al. 2008a, 2008b, 2009, Antunes and Eston 2009, 2012, Minns et al. 2009, Dersa 2010, Ikuta and Martins 2013, Lemos 2014, Cavarzere and Tonetti 2015. All recent encompasses records obtained in recent literature cited above as well as specimens deposited in museuns after the work performed by Graham (1992) and species recorded by the authors
Figure 1 from: Tonetti VR, Rego MA, De Luca AC, Develey PF, Schunck F, Silveira LF (2017) Historical knowledge, richness and relative representativeness of the avifauna of the largest native urban rainforest in the world. Zoologia 34: 1-18. https://doi.org/10.3897/zoologia.34.e13728
Figure 1 - Serra da Cantareira locations surveyed in this study. In the urban slope are Cantareira State Park admnistrative zones and their trails: AC = Águas Claras; PG = Pedra Grande; Eng = Engordador; Cab = Cabuçu; EL = Estrada do Lenhador; Alberto Löfgren State Park (ALSP) and A2. In the inner slope are A1, A3, A4, A5 and SC = Sítio Capuavinha private reserve.
FIGURE 1 in Doryphoribius chetumalensis sp. nov. (Eutardigrada: Isohypsibiidae) a new tardigrade species discovered in an unusual habitat of urban areas of Mexico
FIGURE 1. Sampling sites in Chetumal (Mexico). A) Sampling site S1. B) Sampling site S2.
Supplementary material 4 from: Nedkov S, Zhiyanski M, Dimitrov S, Borisova B, Popov A, Ihtimanski I, Yaneva R, Nikolov P, Bratanova-Doncheva S (2017) Mapping and assessment of urban ecosystem condition and services using integrated index of spatial structure. One Ecosystem 2: e14499. https://doi.org/10.3897/oneeco.2.e14499
Contains descriptions of urban ecosystem subtypes and their relation to EUNIS habitat classess
ScienceDex guides
Understand access before you commit
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.