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859 results for “neobiota”
Supplementary material 2 from: Hannunen S, Tuomola J (2020) Assessing the probability of freedom from pine wood nematode based on 19 years of surveys. NeoBiota 58: 75-106. https://doi.org/10.3897/neobiota.58.38313
Sensitivity.R
Supplementary material 1 from: Schertler A, Rabitsch W, Moser D, Wessely J, Essl F (2020) The potential current distribution of the coypu (Myocastor coypus) in Europe and climate change induced shifts in the near future. NeoBiota 58: 129-160. https://doi.org/10.3897/neobiota.58.33118
Supplementary materials
Supplementary material 3 from: Hill KGW, Nielson KE, Tyler JJ, McInerney FA, Doubleday ZA, Frankham GJ, Johnson RN, Gillanders BM, Delean S, Cassey P (2020) Pet or pest? Stable isotope methods for determining the provenance of an invasive alien species. NeoBiota 59: 21-37. https://doi.org/10.3897/neobiota.59.53671
Figure S1. Results from a carbon decision tree
Supplementary material 4 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Intermediate output files of the case study applying the SInAS workflow
Supplementary material 3 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Final output files of the case study applying the SInAS workflow
Supplementary material 2 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Supplementary Tables S1–S4
Supplementary material 2 from: Datta A, Schweiger O, Kühn I (2020) Origin of climatic data can determine the transferability of species distribution models. NeoBiota 59: 61-76. https://doi.org/10.3897/neobiota.59.36299
Multimodel inference table
Supplementary material 3 from: Datta A, Schweiger O, Kühn I (2020) Origin of climatic data can determine the transferability of species distribution models. NeoBiota 59: 61-76. https://doi.org/10.3897/neobiota.59.36299
R codes
Supplementary material 4 from: Hill KGW, Nielson KE, Tyler JJ, McInerney FA, Doubleday ZA, Frankham GJ, Johnson RN, Gillanders BM, Delean S, Cassey P (2020) Pet or pest? Stable isotope methods for determining the provenance of an invasive alien species. NeoBiota 59: 21-37. https://doi.org/10.3897/neobiota.59.53671
Table S4.1. Determining confidence in status assignment
Supplementary material 5 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Unresolved entries of the case study applying the SInAS workflow
Supplementary material 1 from: Seebens H, Clarke DA, Groom Q, Wilson JRU, García-Berthou E, Kühn I, Roigé M, Pagad S, Essl F, Vicente J, Winter M, McGeoch M (2020) A workflow for standardising and integrating alien species distribution data. NeoBiota 59: 39-59. https://doi.org/10.3897/neobiota.59.53578
Technical description and manual of the SInAS workflow implementation in R
Supplementary material 4 from: Frem M, Chapman D, Fucilli V, Choueiri E, Moujabber ME, Notte PL, Nigro F (2020) Xylella fastidiosa invasion of new countries in Europe, the Middle East and North Africa: Ranking the potential exposure scenarios. NeoBiota 59: 77-97. https://doi.org/10.3897/neobiota.59.53208
Table S3
Supplementary material 1 from: Frem M, Chapman D, Fucilli V, Choueiri E, Moujabber ME, Notte PL, Nigro F (2020) Xylella fastidiosa invasion of new countries in Europe, the Middle East and North Africa: Ranking the potential exposure scenarios. NeoBiota 59: 77-97. https://doi.org/10.3897/neobiota.59.53208
Figures S1, S2
Supplementary material 4 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Fern data from quadrat study
Supplementary material 7 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Output from mixed-effects models on frond density
Supplementary material 6 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Seed addition experiment data
Supplementary material 2 from: Frem M, Chapman D, Fucilli V, Choueiri E, Moujabber ME, Notte PL, Nigro F (2020) Xylella fastidiosa invasion of new countries in Europe, the Middle East and North Africa: Ranking the potential exposure scenarios. NeoBiota 59: 77-97. https://doi.org/10.3897/neobiota.59.53208
Table S1
Supplementary material 2 from: Beltrán LC, Aguilar-Dorantes KM, Howe HF (2020) Effects of a recalcitrant understory fern layer in an enclosed tropical restoration experiment. NeoBiota 59: 99-118. https://doi.org/10.3897/neobiota.59.51906
Trees by origin and restoration treatment
Supplementary material 3 from: Frem M, Chapman D, Fucilli V, Choueiri E, Moujabber ME, Notte PL, Nigro F (2020) Xylella fastidiosa invasion of new countries in Europe, the Middle East and North Africa: Ranking the potential exposure scenarios. NeoBiota 59: 77-97. https://doi.org/10.3897/neobiota.59.53208
Table S2
Supplementary material 5 from: Frem M, Chapman D, Fucilli V, Choueiri E, Moujabber ME, Notte PL, Nigro F (2020) Xylella fastidiosa invasion of new countries in Europe, the Middle East and North Africa: Ranking the potential exposure scenarios. NeoBiota 59: 77-97. https://doi.org/10.3897/neobiota.59.53208
Table S4
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.