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.
859
datasets available to search
ShareScore release 0.9.0
Dataset results
859 results for “neobiota”
Supplementary material 1 from: Oishi EM, Kattler KR, Watkins HV, Howard BR, Côté IM (2024) Substrate complexity reduces prey consumption in functional response experiments: Implications for extrapolating to the wild. NeoBiota 91: 49-66. https://doi.org/10.3897/neobiota.91.111222
Supplementary data
Supplementary material 1 from: Goetz ARB, González-Sargas E, Vidal MC, Shafroth PB, Henry AL, Sher AA (2024) Outcomes of control and monitoring of a widespread riparian invader (Tamarix spp.): a comparison of synthesis approaches. NeoBiota 91: 67-98. https://doi.org/10.3897/neobiota.91.111628
Additional summaries of published literature
Supplementary material 2 from: Goetz ARB, González-Sargas E, Vidal MC, Shafroth PB, Henry AL, Sher AA (2024) Outcomes of control and monitoring of a widespread riparian invader (Tamarix spp.): a comparison of synthesis approaches. NeoBiota 91: 67-98. https://doi.org/10.3897/neobiota.91.111628
Reviewed publications
Supplementary material 1 from: Gruntman M, Segev U (2024) Effect of residence time on trait evolution in invasive plants: review and meta-analysis. NeoBiota 91: 99-124. https://doi.org/10.3897/neobiota.91.109251
Supplementary information
Supplementary material 1 from: Jones TS, Culham A, Pickles BJ, David J (2024) Can gardeners identify 'future invaders'? NeoBiota 91: 125-144. https://doi.org/10.3897/neobiota.91.110560
Scoping survey
Supplementary material 3 from: Mulema J, Phiri S, Bbebe N, Chandipo R, Chijikwa M, Chimutingiza H, Kachapulula P, Kankuma Mwanda F, Matimelo M, Mazimba-Sikazwe E, Mfune S, Mkulama M, Moonga M, Mphande W, Mufwaya M, Mulenga R, Mweemba B, Ndalamei Mabote D, Nkunika P, Nthenga I, Tembo M, Chowa J, Odunga S, Opisa S, Kasoma C, Charles L, Makale F, Rwomushana I, Phiri NA (2024) Rapid risk assessment of plant pathogenic bacteria and protists likely to threaten agriculture, biodiversity and forestry in Zambia. NeoBiota 91: 145-178. https://doi.org/10.3897/neobiota.91.113801
Plant pathogenic bacteria assessment for Zambia
Supplementary material 4 from: Mulema J, Phiri S, Bbebe N, Chandipo R, Chijikwa M, Chimutingiza H, Kachapulula P, Kankuma Mwanda F, Matimelo M, Mazimba-Sikazwe E, Mfune S, Mkulama M, Moonga M, Mphande W, Mufwaya M, Mulenga R, Mweemba B, Ndalamei Mabote D, Nkunika P, Nthenga I, Tembo M, Chowa J, Odunga S, Opisa S, Kasoma C, Charles L, Makale F, Rwomushana I, Phiri NA (2024) Rapid risk assessment of plant pathogenic bacteria and protists likely to threaten agriculture, biodiversity and forestry in Zambia. NeoBiota 91: 145-178. https://doi.org/10.3897/neobiota.91.113801
Plant pathogenic protist assessment for Zambia
Supplementary material 2 from: Mulema J, Phiri S, Bbebe N, Chandipo R, Chijikwa M, Chimutingiza H, Kachapulula P, Kankuma Mwanda F, Matimelo M, Mazimba-Sikazwe E, Mfune S, Mkulama M, Moonga M, Mphande W, Mufwaya M, Mulenga R, Mweemba B, Ndalamei Mabote D, Nkunika P, Nthenga I, Tembo M, Chowa J, Odunga S, Opisa S, Kasoma C, Charles L, Makale F, Rwomushana I, Phiri NA (2024) Rapid risk assessment of plant pathogenic bacteria and protists likely to threaten agriculture, biodiversity and forestry in Zambia. NeoBiota 91: 145-178. https://doi.org/10.3897/neobiota.91.113801
Guidelines for scoring species
Supplementary material 5 from: Mulema J, Phiri S, Bbebe N, Chandipo R, Chijikwa M, Chimutingiza H, Kachapulula P, Kankuma Mwanda F, Matimelo M, Mazimba-Sikazwe E, Mfune S, Mkulama M, Moonga M, Mphande W, Mufwaya M, Mulenga R, Mweemba B, Ndalamei Mabote D, Nkunika P, Nthenga I, Tembo M, Chowa J, Odunga S, Opisa S, Kasoma C, Charles L, Makale F, Rwomushana I, Phiri NA (2024) Rapid risk assessment of plant pathogenic bacteria and protists likely to threaten agriculture, biodiversity and forestry in Zambia. NeoBiota 91: 145-178. https://doi.org/10.3897/neobiota.91.113801
Assessment for vector species
Supplementary material 1 from: Mulema J, Phiri S, Bbebe N, Chandipo R, Chijikwa M, Chimutingiza H, Kachapulula P, Kankuma Mwanda F, Matimelo M, Mazimba-Sikazwe E, Mfune S, Mkulama M, Moonga M, Mphande W, Mufwaya M, Mulenga R, Mweemba B, Ndalamei Mabote D, Nkunika P, Nthenga I, Tembo M, Chowa J, Odunga S, Opisa S, Kasoma C, Charles L, Makale F, Rwomushana I, Phiri NA (2024) Rapid risk assessment of plant pathogenic bacteria and protists likely to threaten agriculture, biodiversity and forestry in Zambia. NeoBiota 91: 145-178. https://doi.org/10.3897/neobiota.91.113801
All data from horizon scanning for Zambia
Supplementary material 2 from: Kortz A, Hejda M, Pergl J, Kutlvašr J, Petřík P, Sádlo J, Vítková M, Vojík M, Pyšek P (2024) Impacts of native and alien plant dominants at different spatial scales. NeoBiota 92: 29-43. https://doi.org/10.3897/neobiota.92.116392
Map with populations of the selected native and alien dominants
Supplementary material 3 from: Kortz A, Hejda M, Pergl J, Kutlvašr J, Petřík P, Sádlo J, Vítková M, Vojík M, Pyšek P (2024) Impacts of native and alien plant dominants at different spatial scales. NeoBiota 92: 29-43. https://doi.org/10.3897/neobiota.92.116392
Primary data, details on the statistical models and summary of the results
Supplementary material 1 from: Kortz A, Hejda M, Pergl J, Kutlvašr J, Petřík P, Sádlo J, Vítková M, Vojík M, Pyšek P (2024) Impacts of native and alien plant dominants at different spatial scales. NeoBiota 92: 29-43. https://doi.org/10.3897/neobiota.92.116392
The selected native and invasive dominants
Supplementary material 1 from: Martín-Forés I, Guerin GR, Lewis D, Gallagher RV, Vilà M, Catford JA, Pauchard A, Sparrow B (2024) Towards integrating and harmonising information on plant invasions across Australia. NeoBiota 92: 61-83. https://doi.org/10.3897/neobiota.92.113013
Supplementary information
Supplementary material 11 from: Tichit P, Brickle P, Newton RJ, Convey P, Dawson W (2024) Introduced species infiltrate recent stages of succession after glacial retreat on sub-Antarctic South Georgia. NeoBiota 92: 85-110. https://doi.org/10.3897/neobiota.92.117226
Plant and invertebrate inventory on glacial forelands of South Georgia (2022–2023)
Supplementary material 7 from: Tichit P, Brickle P, Newton RJ, Convey P, Dawson W (2024) Introduced species infiltrate recent stages of succession after glacial retreat on sub-Antarctic South Georgia. NeoBiota 92: 85-110. https://doi.org/10.3897/neobiota.92.117226
Description of the introduced species observed in the survey (n = 9)
Supplementary material 9 from: Tichit P, Brickle P, Newton RJ, Convey P, Dawson W (2024) Introduced species infiltrate recent stages of succession after glacial retreat on sub-Antarctic South Georgia. NeoBiota 92: 85-110. https://doi.org/10.3897/neobiota.92.117226
Species sampling curves for each surveyed transect
Supplementary material 2 from: Tichit P, Brickle P, Newton RJ, Convey P, Dawson W (2024) Introduced species infiltrate recent stages of succession after glacial retreat on sub-Antarctic South Georgia. NeoBiota 92: 85-110. https://doi.org/10.3897/neobiota.92.117226
Adapted Braun-Blanquet scale used in the study of inland glacier sites
Supplementary material 12 from: Tichit P, Brickle P, Newton RJ, Convey P, Dawson W (2024) Introduced species infiltrate recent stages of succession after glacial retreat on sub-Antarctic South Georgia. NeoBiota 92: 85-110. https://doi.org/10.3897/neobiota.92.117226
Bryophyte and lichen morphospecies observed on glacial forelands of South Georgia (2022–2023)
Supplementary material 4 from: Tichit P, Brickle P, Newton RJ, Convey P, Dawson W (2024) Introduced species infiltrate recent stages of succession after glacial retreat on sub-Antarctic South Georgia. NeoBiota 92: 85-110. https://doi.org/10.3897/neobiota.92.117226
Model traces, conditional effects and posterior predictive check of each modelled variable
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.