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370
datasets available to search
ShareScore release 0.9.0
Dataset results
370 results for “plant material”
Supplementary material 1 from: Bhatta S, Shrestha BB, Pyšek P (2023) Invasive alien plants in South Asia: Impacts and management. NeoBiota 88: 135-167. https://doi.org/10.3897/neobiota.88.104118
372 papers were used for the analysis
Supplementary material 1 from: Těšitelová T, Knotková K, Knotek A, Cempírková H, Těšitel J (2024) Root hemiparasites suppress invasive alien clonal plants: evidence from a cultivation experiment. NeoBiota 90: 97-121. https://doi.org/10.3897/neobiota.90.113069
Supplementary information
Supplementary material 2 from: Těšitelová T, Knotková K, Knotek A, Cempírková H, Těšitel J (2024) Root hemiparasites suppress invasive alien clonal plants: evidence from a cultivation experiment. NeoBiota 90: 97-121. https://doi.org/10.3897/neobiota.90.113069
Primary data table
Supplementary material 1 from: Vilà M, Trillo A, Castro-Díez P, Gallardo B, Bacher S (2024) Field studies of the ecological impacts of invasive plants in Europe. NeoBiota 90: 139-159. https://doi.org/10.3897/neobiota.90.112368
Supplementary information
Supplementary material 1 from: Zheng M-M, Pyšek P, Guo K, Hasigerili, Guo W-Y (2024) Clonal alien plants in the mountains spread upward more extensively and faster than non-clonal. NeoBiota 91: 29-48. https://doi.org/10.3897/neobiota.91.115675
Data used for the analysis
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: Kubentayev SA, Alibekov DT, Perezhogin YV, Lazkov GA, Kupriyanov AN, Ebel AL, Izbastina KS, Borodulina OV, Kubentayeva BB (2024) Revised checklist of endemic vascular plants of Kazakhstan. PhytoKeys 238: 241-279. https://doi.org/10.3897/phytokeys.238.114475
Checklist of subendemic taxa previously considered endemic in Kazakhstan
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 2 from: Mally R, Ward SF, Trombik J, Buszko J, Medzihorský V, Liebhold AM (2021) Non-native plant drives the spatial dynamics of its herbivores: the case of black locust (Robinia pseudoacacia) in Europe. NeoBiota 69: 155-175. https://doi.org/10.3897/neobiota.69.71949
Tables S2–S9
Supplementary material 1 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Tree cover map St. Eustatius
Supplementary material 3 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Important birding areas St. Eustatius
Supplementary material 2 from: Huisman SN, Jesse WAM, Ellers J, van Beukering PJH (2021) Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius. One Ecosystem 6: e72881. https://doi.org/10.3897/oneeco.6.e72881
Iguana sightings map St. Eustatius
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.