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.
52
datasets available to search
ShareScore release 0.9.0
Dataset results
52 results for “tree pathogen”
Supplementary material 1 from: Green S, Dehnen-Schmutz K, Drakulic J, Eschen R, Orazio C, Douma JC, Lundén K, Colombari F, Jactel H (2023) Awareness, detection and management of new and emerging tree pests and pathogens in Europe: stakeholders' perspectives. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 9-40. https://doi.org/10.3897/neobiota.84.95761
HOMED stakeholder survey
Data from: Roles of pathogens on replacement of tree seedlings in heterogeneous light environments in a temperate forest: a reciprocal seed sowing experiment
Open the record for dataset details and reuse information.
Data from: Roles of pathogens on replacement of tree seedlings in heterogeneous light environments in a temperate forest: a reciprocal seed sowing experiment
Open the record for dataset details and reuse information.
Long evolutionary history of an emerging fungal pathogen of diverse tree species in eastern Asia, Australia, and the Pacific Islands
Open the record for dataset details and reuse information.
Data from: Phenotypic interactions between tree hosts and invasive forest pathogens in the light of globalization and climate change
Invasive pathogens can cause considerable damage to forest ecosystems. Lack of coevolution is generally thought to enable invasive pathogens to bypass the defence and/or recognition systems in the host. Although mostly true, this argument fails to predict intermittent outcomes in space and time, underlining the need to include the roles of the environment and the phenotype in host–pathogen interactions when predicting disease impacts. We emphasize the need to consider host–tree imbalances from a phenotypic perspective, considering the lack of coevolutionary and evolutionary history with the pathogen and the environment, respectively. We describe how phenotypic plasticity and plastic responses to environmental shifts may become maladaptive when hosts are faced with novel pathogens. The lack of host–pathogen and environmental coevolution are aligned with two global processes currently driving forest damage: globalization and climate change, respectively. We suggest that globalization and climate change act synergistically, increasing the chances of both genotypic and phenotypic imbalances. Short moves on the same continent are more likely to be in balance than if the move is from another part of the world. We use Gremmeniella abietina outbreaks in Sweden to exemplify how host–pathogen phenotypic interactions can help to predict the impacts of specific invasive and emergent diseases. This article is part of the themed issue 'Tackling emerging fungal threats to animal health, food security and ecosystem resilience'.
Data from: Incorporating the disease triangle framework for testing the effect of soil-borne pathogens on tree species diversity
1. The enemies-induced Janzen-Connell (JC) effect, a classic model invoking conspecific negative density dependence (CNDD) and distance dependence, is a primary biodiversity maintenance hypothesis. Yet, conflicting evidence for the JC effect leads to disagreement about its role in maintaining forest diversity. 2. We focus this review on soil-borne pathogens, which are the primary agent inducing the JC effect in many forest ecosystems. Although the test of the pathogen-induced JC effect in ecology critically rests on the seedling mortality caused by soil pathogens, what has not been explicitly explored in the early literature but has increasingly received attention is the long-recognized fact that the environment can alter virulence of pathogens and host susceptibility (and thus pathogen-host interactions), as predicted by the classic disease triangle framework enlightened by pathology research in agricultural systems. 3. Here, following the disease triangle framework we review evidence on how the pathogen-induced JC effect may be contingent on context (e.g., environmental conditions, pathogen inoculum load, and genetic divergence in host and pathogen populations). The reviewed evidence reveals and clarifies the conditions where pathogens may or may not cause disease to hosts, thus contributing to reconciling the inconsistent results about the pathogen-induced JC effect in the literature. The context-dependence of the disease triangle predicts that the pathogen-induced JC effect would change under global change. 4. Gaining insights from evidence that the pathogen-induced JC effect is context-dependent, we suggest that future tests on the JC hypothesis be conducted under the framework of disease triangle, and we stress the necessity by controlling the effect of context factors on plant-pathogen interactions when testing for the JC effect. We conclude the review by proposing three lines of future research for testing the importance of the JC effect in maintaining global forest tree species diversity, with a particular emphasis on testing the effect of global warming on the strength of pathogen-host interactions for better predicting changes of forest biodiversity under climate change.
Data from: Phenotypic interactions between tree hosts and invasive forest pathogens in the light of globalization and climate change
Open the record for dataset details and reuse information.
Data from: Incorporating the disease triangle framework for testing the effect of soil-borne pathogens on tree species diversity
Open the record for dataset details and reuse information.
New approaches to the production of certified varieties of apple trees using NGS diagnostics of pathogens
GEO Series GSE205183. Malus domestica. 16 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Fig. 1 Maximum likelihood tree inferred using the rpb2 in New endemic Fusarium species hitch-hiking with pathogenic Fusarium strains causing Panama disease in small-holder banana plots in Indonesia
Fig. 1 Maximum likelihood tree inferred using the rpb2 gene region of the Indonesian isolates in the Fusarium fujikuroi species complex (FFSC), Fusarium incarnatum-equiseti species complex (FIESC), Fusarium sambucinum species complex (FSSC), and Fusarium oxysporum species complex (FOSC) isolates from a previous study (Maryani et al. 2019). Bootstrap support values and Bayesian posterior probabilities are given at each node. The tree is rooted to Fusarium acuminatum (NRRL 54210) and Fusarium heterosporum (NRRL 20692).
Resistance of Norway spruce tree clones against the root and stem rot conifer pathogen (Heterobasidion parviporum)
GEO Series GSE162672. Picea abies. 8 samples. Type: Expression profiling by high throughput sequencing.
Pathogenicity tests of some fungal pathogens associated with oak trees decline in Zagros forests of Iran
Open the record for dataset details and reuse information.
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.