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.
21
datasets available to search
ShareScore release 0.9.0
Dataset results
21 results for “biodiversity infrastructure”
Data on public perceptions of, attitudes towards, and values for managing urban green infrastructure for carbon, biodiversity, and well-being outcomes in Helsinki, Finland
<p>A public participatory GIS -survey dataset detailing public perceptions of, attitudes towards, and values for managing urban green infrastructure for carbon, biodiversity, and well-being outcomes in Helsinki, Finland.</p>
Biodiversity and infrastructure interact to drive tourism to and within Costa Rica
Significance Tourism accounts for roughly 10% of global gross domestic product, with nature-based tourism its fastest-growing sector in the past 10 years. Nature-based tourism can theoretically contribute to local and sustainable development by creating attractive livelihoods that support biodiversity conservation, but whether tourists prefer to visit more biodiverse destinations is poorly understood. We examine this question in Costa Rica and find that more biodiverse places tend indeed to attract more tourists, especially where there is infrastructure that makes these places more accessible. Safeguarding terrestrial biodiversity is critical to preserving the substantial economic benefits that countries derive from tourism. Investments in both biodiversity conservation and infrastructure are needed to allow biodiverse countries to rely on tourism for their sustainable development.
Biodiversity and infrastructure interact to drive tourism to and within Costa Rica
Open the record for dataset details and reuse information.
How human infrastructure threatens biodiversity by squeezing sandy coasts - Scripts & Data
<p><strong>Authors</strong>: Eva M. Lansu, Hallie S. Fischman, Christine Angelini, Nadia Hijner, Luc Geelen, Dick Groenendijk, Solveig Höfer, Annemieke M. Kooijman, Max Rietkerk, Sten Tonkens, Sierd de Vries, Martin Wassen, Evaline van Weerlee, Daniël Wille, Valérie Reijers, Tjisse van der Heide</p> <p><strong>Abstract</strong></p> <p>Coastal dunes form valuable ecosystems that provide flood protection, clean drinking water and high biodiversity. Although their functioning critically depends on large-scale habitat zonation arising along sea-to-land gradients, infrastructure development and sea level rise progressively squeeze natural dune ecosystems into a narrow coastal strip. However, it remains unknown how much coastal width is required to support the diverse suite of habitats and species assemblages found in natural, undisturbed dune systems. Here, we investigate plant and habitat diversity in 614 plots along 47 sea-to-land transects in the southeastern USA and the Netherlands. We discover a strong linear relation between habitat diversity and species richness, indicating that diverse habitat assemblages are required for species-rich dunes. Moreover, we find that both plant and habitat diversity non-linearly depend on coastal width, with cumulative plant diversity reaching ~75% of its potential at 800 and 1800 m from the sea in the southeastern USA and the Netherlands, respectively. Alarmingly, dune areas are narrower than these width values along 79% and 66% of southeastern USA and Dutch coastlines, respectively, highlighting that lack of space compromises the ecosystems’ potential biodiversity benefits along the majority of coastlines. Finally, analyses of management measures along the transects reveal that strategic interventions can, at least in part, mitigate biodiversity losses from coastal squeeze. As coastal squeeze is a global phenomenon, our results suggest that it may severely threaten biodiversity in dune areas worldwide. We argue that establishment or expansion of nature reserves may be vital for conserving wide dune systems, and that targeted management measures can help maintain biodiversity where coastal squeeze cannot be alleviated.</p> <p>==============================================</p> <p><strong>Methods</strong></p> <p>The analyses rely on the following freely available datasets:</p> <ul> <li> Lansu et al. (2024) " A global analysis of how human infrastructure squeezes sandy coasts” <em>Nature Communications</em> 15.1 (2024): 432. <a href="https://www.nature.com/articles/s41467-023-44659-0">https://www.nature.com/articles/s41467-023-44659-0</a></li> <li>OpenStreetMap - shoreline: <a href="https://osmdata.openstreetmap.de/data/land-polygons.html">https://osmdata.openstreetmap.de/data/land-polygons.html</a></li> <li>Protected areas: <a href="https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA">https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA</a></li> </ul> <p> </p> <p> </p>
Figure 5 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 5 - Group 2 discussion: Strategies, Business Plan and EU BON sustainability (Credits: F. Wetzel)
Figure 4 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 4 - Visualisation of Lepidoptera density occurences: World Map (darker colors indicate a higher number of occurrences) and Lepidoptera occurences chart bar per year, exemplified with the country data of Germany (EU BON European Biodiversity Portal, beta version 11/2016).
Figure 2 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 2 - Potential organizational structure of a future EU BON, e.g. with a 'core EU BON' (blue rectangle). Presentation Dirk Schmeller (UFZ) in collaboration with Katherine Despot-Belmonte (UNEP-WCMC). (Credits: Pan X., 2015, CC BY 4.0)
Figure 1 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 1 - How do we get from data to decisions? Extract from a presentation by Lauren Weatherdon (UNEP-WCMC). Credit: Scriberia, CC BY 4.0
Figure 3 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 3 - Screenshot of the beta version of the EU BON European Biodiversity Portal (biodiversity.eubon.eu).
Figure 5 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191
Figure 5 - Request processing time for issues. Time lapse between posting of issues and the first reply to this issue divided into request category and each category divided into issues posted by users versus developers (October 2010–June 2011).
Figure 3 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191
Figure 3 - Pattern of support requests and of new Scratchpads over time. Number of support requests posted to both support systems by users and number of new Scratchpads created per month (October 2010–June 2011).
Figure 2 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191
Figure 2 - Pattern of email requests over time. Number of email requests per month divided into request category and each category divided into emails sent by users versus developers (October 2010–June 2011).
Figure 1 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191
Figure 1 - Pattern of issues over time. Number of issues per month divided into request category and each category divided into issues posted by users versus developers (October 2010–June 2011).
Figure 5 from: Duin D, van den Besselaar P (2011) Studying the effects of virtual biodiversity research infrastructures. ZooKeys 150: 193-210. https://doi.org/10.3897/zookeys.150.2164
Figure 5 - Graph of co-author ties† between the members of the Scratchpadlivingcreatures.info‡. (2001-2010). † Data sources: Web of Science and Publish or Perish. ‡ For privacy reasons we use a fictional name.
Figure 4 from: Duin D, van den Besselaar P (2011) Studying the effects of virtual biodiversity research infrastructures. ZooKeys 150: 193-210. https://doi.org/10.3897/zookeys.150.2164
Figure 4 - Livingcreatures.info and ties with two other Scratchpads. This graph shows a fictional situation.
Figure 2 from: Duin D, van den Besselaar P (2011) Studying the effects of virtual biodiversity research infrastructures. ZooKeys 150: 193-210. https://doi.org/10.3897/zookeys.150.2164
Figure 2 - Graph of co-author ties† between the members of the Scratchpad Livingcreatures.info‡. (2001-2010).† Data sources: Web of Science and Publish or Perish. ‡ For privacy reasons we use a fictional name.
Figure 4 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191
Figure 4 - Pattern of requests over time by Scratchpad. Number of requests posted per month (October 2010–June 2011) for Scratchpads for which ten or more requests were posted during the analysed period. In the legend the creation date of the individual Scratchpads is cited.
Figure 6 from: Brake I, Duin D, Van de Velde I, Smith V, Rycroft S (2011) Who learns from whom? Supporting users and developers of a major biodiversity e-infrastructure. ZooKeys 150: 177-192. https://doi.org/10.3897/zookeys.150.2191
Figure 6 - Request processing time for email requests. Time lapse between posting of an email and the first reply to this email divided into request category and each category divided into emails sent by users versus developers (October 2010–June 2011).
Figure 6 from: Wetzel F, Despot Belmonte K, Bingham H, Underwood E, Hoffmann A, Häuser C, Mikolajczyk P, Vohland K (2017) 4th European Biodiversity Observation Network (EU BON) Stakeholder Roundtable: Pathways to sustainability for EU BONs network of collaborators and technical infrastructure. Research Ideas and Outcomes 3: e11875. https://doi.org/10.3897/rio.3.e11875
Figure 6 - Fig. 6: Participants of the 4th EU BON Stakeholder Roundtable (Credits: F. Wetzel).
Figure 1 from: Duin D, van den Besselaar P (2011) Studying the effects of virtual biodiversity research infrastructures. ZooKeys 150: 193-210. https://doi.org/10.3897/zookeys.150.2164
Figure 1 - Brokerage and structural holes.
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.