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Dataset results
245 results for “biodiversity outcomes”
Supplementary material 1 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Species occurrence data sources metadata
Supplementary material 3 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
List of tested and analyzed data sharing tools (non-exhaustive)
Supplementary material 2 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
Definitions and concepts in the context of the main paper.
Supplementary material 1 from: Smirnova L, Mergen P, Groom Q, De Wever A, Penev L, Stoev P, Pe'er I, Runnel V, Camacho A, Vincent T, Agosti D, Arvanitidis C, Bonet F, Saarenmaa H (2016) Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes 2: e9390. https://doi.org/10.3897/rio.2.e9390
List of selected tools.
Supplementary material 1 from: Vohland K, Häuser C, Regan E, Hoffmann A, Wetzel F (2016) 2nd EU BON Stakeholder Roundtable (Berlin, Germany): How can a European biodiversity network support citizen science? Research Ideas and Outcomes 2: e8616. https://doi.org/10.3897/rio.2.e8616
2nd EU BON Stakeholder Roundtable – Acronyms
Supplementary material 1 from: Vohland K, Hoffmann A, Underwood E, Weatherdon L, Bonet F, Häuser C, Wetzel F (2016) 3rd EU BON Stakeholder Roundtable (Granada, Spain): Biodiversity data workflow from data mobilization to practice. Research Ideas and Outcomes 2: e8622. https://doi.org/10.3897/rio.2.e8622
3rd EU BON Stakeholder Roundtable – Acronyms
Supplementary material 1 from: Egloff W, Agosti D, Patterson D, Hoffmann A, Mietchen D, Kishor P, Penev L (2016) Data Policy Recommendations for Biodiversity Data. EU BON Project Report. Research Ideas and Outcomes 2: e8458. https://doi.org/10.3897/rio.2.e8458
MS841: Biodiversity data publishing legal framework report
Supplementary material 1 from: Wetzel F, Hoffmann A, Häuser C, Vohland K (2016) 1st EU BON Stakeholder Roundtable (Brussels, Belgium): Biodiversity and Requirements for Policy. Research Ideas and Outcomes 2: e8600. https://doi.org/10.3897/rio.2.e8600
Acronyms - 1st EU BON Stakeholder Roundtable
Supplementary material 3 from: Egloff W, Agosti D, Patterson D, Hoffmann A, Mietchen D, Kishor P, Penev L (2016) Data Policy Recommendations for Biodiversity Data. EU BON Project Report. Research Ideas and Outcomes 2: e8458. https://doi.org/10.3897/rio.2.e8458
MS241: Specification for registry and metadata catalogue
Supplementary material 2 from: Egloff W, Agosti D, Patterson D, Hoffmann A, Mietchen D, Kishor P, Penev L (2016) Data Policy Recommendations for Biodiversity Data. EU BON Project Report. Research Ideas and Outcomes 2: e8458. https://doi.org/10.3897/rio.2.e8458
MS971: Data sharing agreement
Figure 2 from: von Rintelen K, Arida E, Häuser C (2017) A review of biodiversity-related issues and challenges in megadiverse Indonesia and other Southeast Asian countries. Research Ideas and Outcomes 3: e20860. https://doi.org/10.3897/rio.3.e20860
Figure 2 - The changing pathways of biodiversity in Indonesian society (without any claim of completeness and time scale). The oldest forms of biodiversity-related knowledge changed over time and (local) space, also from rather bottom-up (local knowledge) to more top-down pathways (e.g., governmental programmes) (continuous line). However, modern pathways also rely on older pathways and the whole process is not only unidirectional (dashed line) as older pathway (traditional knowledge and medicine) are often making a comeback.
Figure 1 from: von Rintelen K, Arida E, Häuser C (2017) A review of biodiversity-related issues and challenges in megadiverse Indonesia and other Southeast Asian countries. Research Ideas and Outcomes 3: e20860. https://doi.org/10.3897/rio.3.e20860
Figure 1 - Map of Southeast Asia. The ten member states of the Association of Southeast Asian Nations (ASEAN) in Southeast Asia. The map shows the isolated islands of Indonesia and the Philippines. Their complex biogeographical and geological history led to the evolution of an extraordinary biodiversity and endemism. Map modified from d-maps.com (the original map was downloaded from http://www.d-maps.com/carte.php?num_car=28675&lang=en).
Figure 7 from: Underwood E, Grace M (2017) The use of biodiversity data in rural development programming. Research Ideas and Outcomes 3: e20369. https://doi.org/10.3897/rio.3.e20369
Figure 7 - Records added to the National Biodiversity Network Gateway, 2004 to 2015. From UK Biodiversity Indicators 2015, http://jncc.defra.gov.uk/page-4229 Source: NBN Gateway and NBN Atlas.
Figure 1 from: Underwood E, Grace M (2017) The use of biodiversity data in rural development programming. Research Ideas and Outcomes 3: e20369. https://doi.org/10.3897/rio.3.e20369
Figure 1 - Use of CMEF indicators in CAP monitoring and evaluation (reproduced from European Commission 2015)
Figure 6 from: Underwood E, Grace M (2017) The use of biodiversity data in rural development programming. Research Ideas and Outcomes 3: e20369. https://doi.org/10.3897/rio.3.e20369
Figure 6 - The German HNV monitoring methodology and results - HNV value decline In Germany, the HNV monitoring methodology has enabled an initial assessment of the trend in HNV value of farmland. Between 2009 and 2013, there was a significant decline of HNV value, in particular in the HNV class III, which represents the lowest value (in terms of species richness and structure). Graph reproduced from (Benzler et al. 2015).
Figure 3 from: Underwood E, Grace M (2017) The use of biodiversity data in rural development programming. Research Ideas and Outcomes 3: e20369. https://doi.org/10.3897/rio.3.e20369
Figure 3 - Extract of the Danish HNV map. Available at http://arealinformation.miljoeportal.dk/distribution/
Figure 5 from: Underwood E, Grace M (2017) The use of biodiversity data in rural development programming. Research Ideas and Outcomes 3: e20369. https://doi.org/10.3897/rio.3.e20369
Figure 5 - Opinions of RDP policy evaluators on data availability and bottlenecks. Results reproduced from ENRD 2012. A group of 58 RDP policy evaluators were asked about data availability and bottlenecks to data use for agricultural policy impact evaluation in 2007-2013. In response to the question: "To what extent are sound data available to carry out RDP impact evaluations?" 2% (1) replied 'fully available', 24% (14) replied 'largely available', 72% (42) replied 'partly available', 2% (1) replied 'not available'. The answers to the question "What are the major bottlenecks in providing sound data for the assessment of RDP impact in 2007-2013?" are shown in the graph.
Figure 2 from: Underwood E, Grace M (2017) The use of biodiversity data in rural development programming. Research Ideas and Outcomes 3: e20369. https://doi.org/10.3897/rio.3.e20369
Figure 2 - Workflow of the production of the EU Farmland Bird Index. Adapted from source: http://www.ebcc.info/wpimages/schema2016_big.jpg
Figure 4 from: Bingham H, Doudin M, Weatherdon L, Despot-Belmonte K, Wetzel F, Groom Q, Lewis E, Regan E, Appeltans W, Güntsch A, Mergen P, Agosti D, Penev L, Hoffmann A, Saarenmaa H, Geller G, Kim K, Kim H, Archambeau A, Häuser C, Schmeller D, Geijzendorffer I, García Camacho A, Guerra C, Robertson T, Runnel V, Valland N, Martin C (2017) The Biodiversity Informatics Landscape: Elements, Connections and Opportunities. Research Ideas and Outcomes 3: e14059. https://doi.org/10.3897/rio.3.e14059
Figure 4 - The network of biodiversity informatics organisations. The network visualisation was created using NodeXL (Version 1.0.1.229) (Smith et al. 2009) and was laid out with the Harel–Koren Fast Multiscale algorithm and then adjusted manually to remove overlaps. The colours represent clusters identified using the Girvan–Newman algorithm.
Figure 3 from: Bingham H, Doudin M, Weatherdon L, Despot-Belmonte K, Wetzel F, Groom Q, Lewis E, Regan E, Appeltans W, Güntsch A, Mergen P, Agosti D, Penev L, Hoffmann A, Saarenmaa H, Geller G, Kim K, Kim H, Archambeau A, Häuser C, Schmeller D, Geijzendorffer I, García Camacho A, Guerra C, Robertson T, Runnel V, Valland N, Martin C (2017) The Biodiversity Informatics Landscape: Elements, Connections and Opportunities. Research Ideas and Outcomes 3: e14059. https://doi.org/10.3897/rio.3.e14059
Figure 3 - An example of links from the biodiversity informatics landscape to the policy-level: the Biodiversity Indicators Partnership (BIP).
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.