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.
61
datasets available to search
ShareScore release 0.9.0
Dataset results
61 results for “nematode community”
Taxonomy and Biogeography of Nematode Communities at Harvard Forest 2014
Our overall goal is to describe and map nematode biodiversity in North America. Specifically we will concentrate on Criconematina, a suborder of plant parasitic, soil-dwelling nematodes. Criconematina, commonly referred to as ring-nematodes, are distributed globally associated with a wide range of hosts and habitats. In native grasslands and forests, they may constitute as much as 30% of the below-ground nematode community. Their abundance often approaches 500 individuals per 100cc of soil with as many as a dozen species recorded from a single habitat. Host associations may be broad, covering entire plant families, or they may specialize in feeding on a few closely related plant species. Several are known agronomic pest species, but the vast majority is known only from native habitats and responds negatively to soil disturbance. Due to their sensitivity to disturbance and associations with a range of plant species, some ecologists have suggested that ring nematodes could serve as a below-ground biological indicator of habitat quality. Before this application is possible taxonomic boundaries need to be evaluated and a reference database needs to be established.
Morpho-anatomical traits explain the effects of bacterial-feeding nematodes on soil bacterial community composition and plant growth and nutrition
<p>Soil Bacterial populations</p> <p>V3-V4, of the 16S rRNA gene using the primers 341F CCTAYGGGRBGCASCAG and 806R GGACTACNNGGGTATCTAAT.</p>
FIG. 2 in Nematode community structure of forest woodlots. I. Relationships based on similarity coefficients of nematode species
FIG. 2. Dendrogram of forest sites in Tippecanoe County, Ind., based on similarity indices of nematode species.
FIG. 1 in Nematode community structure of forest woodlots. I. Relationships based on similarity coefficients of nematode species
FIG. 1. Influence of the number of soil cores taken at Tippecanoe County, Ind., at site P on the number of nematode species recovered.
Fig. 3 in Communities Of Ditylenchus Destructor Satellite Species Of Nematodes In Infected Potato Tubers: Species Composition Of Phytonematode Complex And The Structure Of Their Infracommunities
Fig. 3. The dynamics of the ratio of the total number of various trophoecological group nematodes during the disease of potato tubers caused by D. destructor.
Fig. 1 in Communities Of Ditylenchus Destructor Satellite Species Of Nematodes In Infected Potato Tubers: Species Composition Of Phytonematode Complex And The Structure Of Their Infracommunities
Fig. 1. Ditylenchus destructor (Thorne, 1945) potato nematode: A — female; B — head end of the female; C — spicules; D — male; E — head end of the male; F, G — lateral field by the Thorne, 1945.
Fig. 5 in Communities Of Ditylenchus Destructor Satellite Species Of Nematodes In Infected Potato Tubers: Species Composition Of Phytonematode Complex And The Structure Of Their Infracommunities
Fig. 5. Occurrence of various species of phytonematodes during successive stages of the pathological process.
Fig. 1 in Taxonomic Structure Of Nematode Communities Of Epiphytic Mosses In Green Plantations Of Chernihiv, Ukraine
Fig. 1. Taxonomic diversity of nematodes belonging to different orders that inhabit epiphytic mosses in green plantations of Chernihiv: 1 — Enoplida; 2 — Triplonchida; 3 — Dorylaimida; 4 — Mononchida; 5 — Monhysterida; 6 — Plectida; 7 — Rhabditida; 8 — Tylenchida.
Fig. 2 in Taxonomic Structure Of Nematode Communities Of Epiphytic Mosses In Green Plantations Of Chernihiv, Ukraine
Fig. 2. Structure of nematode fauna of epiphytic mosses in green plantations of Chernihiv according to the frequency of occurrence.
Fig. 1 in Species Composition And Structure Of The Communities Of Plant-Parasitic And Free-Living Soil Nematodes In The Greenhouses Of Botanical Gardens Of Ukraine
Fig. 1. Dendrogram of similarity of the nematode communities in the greenhouses of botanical gardens of Ukraine (amalgamation by the method of complete linkage). Explanation of the abbreviations is given in table 2. Рис. 1. Дендрограмма сходства нематодных сообществ в оранжереях ботанических садов Украины (объединение по методу полной связи). Расшифровка сокращений дана в таблице 2.
Fig. 2 in Species Composition And Structure Of The Communities Of Plant-Parasitic And Free-Living Soil Nematodes In The Greenhouses Of Botanical Gardens Of Ukraine
Fig. 2. Dendrogram of similarity of plant-parasitic nematodes' communities in the greenhouses of botanical gardens of Ukraine (amalgamation by the method of complete linkage). Explanation of the abbreviations is given in table 2.
SI Figure 3: Compositional difference among eukaryotic microinvertebrate external and internal microbiomes, using Bray Curtis distance matrix visualized with a NMDS ordination. Circles indicate each community and stars centroid location of each microbiome type. Communities do not cluster by animal, microbiome type, mat type, or stream. in External and internal microbiomes of Antarctic nematodes are distinct, but more similar to each other than the surrounding environment
SI Figure 3: Compositional difference among eukaryotic microinvertebrate external and internal microbiomes, using Bray Curtis distance matrix visualized with a NMDS ordination. Circles indicate each community and stars centroid location of each microbiome type. Communities do not cluster by animal, microbiome type, mat type, or stream.
SI Figure 2: Compositional differences among bacterial microinvertebrate external and internal microbiomes as well as mats they were isolated from using Bray Curtis distance matrix visualized with a NMDS ordination. Circles indicate each community and stars show centroids of microbiome types for each animal host. All host microbiomes (internal and external) are distinct from mat communities (P<0.05), but external microbiomes are more similar to mats than internal microbiomes are to mats. in External and internal microbiomes of Antarctic nematodes are distinct, but more similar to each other than the surrounding environment
SI Figure 2: Compositional differences among bacterial microinvertebrate external and internal microbiomes as well as mats they were isolated from using Bray Curtis distance matrix visualized with a NMDS ordination. Circles indicate each community and stars show centroids of microbiome types for each animal host. All host microbiomes (internal and external) are distinct from mat communities (P<0.05), but external microbiomes are more similar to mats than internal microbiomes are to mats.
Fig. 2 in Spatial Distribution Of Tropical Estuarine Nematode Communities In Sarawak, Malaysia (Borneo)
Fig. 2. Principal component analysis derived from the mean percentage of particle fractions in each study site. PC 1 and 2
Fig. 8 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 8. Regression model functions between nematode length and feeding types/biomass along the Mekong estuary ECC nematode length L and percentage of feeding types 1B and 2B (a); nematode densities of individual biomass and total biomass (b).
Fig. 7. Regression functions between the length and ratio L in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 7. Regression functions between the length and ratio L/W with other characters (maturity index, feeding types) of nematodes at all stations. length L and genera richness S, maturity index MI (a); length L and percentage % of feeding type 1A and 2B (b); nematode width W with percentage of feeding type 2A (c); ratio L/W with the percentage of feeding type 2B (d).
Fig. 4 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 4. Nematode length (L) and width (W) at all mouth stations and along the Co Chien river estuary.
Fig. 3 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 3. Nitrite and nitrate concentrations (mean±SD; raw data multiplied by 10) and ammonium concentrations across a vertical sediment profile at the mouth of the Mekong delta (a), and along the Co Chien estuary (b).
Fig. 2 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 2. Chloroplastic Pigment Equivalents (mean CPE±SD; μg L−1) and chlorophyll a (mean±SD; μg L−1) at the mouth stations (a) and along the Co Chien estuary (b).
Fig. 1 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 1. Locations of sampling stations in the Co Chien estuary (ECC1 through ECC4) and at the mouth of Mekong Delta (from north to south, mouth stations ECT, ECD, EBL, EHL, ECH, EDA and ETD) in Vietnam.
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.