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FIG. 6 in Resampling Bouché's historical localities reveals three new species and helps identifying a new genus of earthworms (Oligochaeta, Hormogastridae and Lumbricidae) in Southeastern France
FIG. 6. — Allolobophora delitescens Gérard, Decaëns & Marchán, n. sp.: A, external view of the anterior body; B, lateral view of the anterior body; C, dissection of the anterior body. Abbreviations: CL, clitellum, CR, crop, GM, genital marks, GZ, gizzard, IN, intestine, MP, male pore, SEP, septa, SV, seminal vesicles, TP, tubercula pubertatis, TY, typhlosole. Scale bars: 5 mm. Photos: T. Decaëns.
Soil BON Earthworm Trait template
<p>Within the Soil BON Earthworm initiative, a trait template was developed, building largely on the one created for the BETSI database (Pey et al, 2014a, b). Similarly, the data template is composed of several leaflets:</p><ol><li>"readme": this leaflet contains all column names from the leaflet "template to fill with data" and provide the necessary information to properly fill the information needed.</li><li>"template to fill with data": this leaflet is a long-format table in which each line is a trait value from a specific reference, allowing multiple trait values of the same trait for the same species to account for intraspecific trait variability due to inter-population variability, geography or ontogeny</li><li>"drop down list": this leaflet is non-modifiable and contains the different lists from which trait values are taken (e.g. trait name) to avoid synonyms.</li></ol><p>Trait expression is highly influenced by the environment and metadata associated with any trait value is necessary. For certain traits, meta-data is especially important, such as burrow system characteristics that need to be linked to soil volume, density, moisture levels, or cast characteristics that need to be compared to the bulk soil. The trait template will be updated in the future to offer a solution to link single trait data and the metadata associated.</p>
FIG. 5 in Resampling Bouché's historical localities reveals three new species and helps identifying a new genus of earthworms (Oligochaeta, Hormogastridae and Lumbricidae) in Southeastern France
FIG. 5. — Distribution of newly described Lumbricidae species, Flabellodrilus luberonensis Gérard, Decaëns & Marchán, n. gen., n. sp. and Allolobophora delitescens Gérard, Decaëns & Marchán, n. sp. (stars), and their closest relatives (circles) in Southern France. All species within the genus Flabellodrilus Gérard, Decaëns & Marchán, n. gen. are represented. Credits: Google 2022.
APPENDIX 1 in Resampling Bouché's historical localities reveals three new species and helps identifying a new genus of earthworms (Oligochaeta, Hormogastridae and Lumbricidae) in Southeastern France
APPENDIX 1. — Full multilocus phylogenetic tree focused on Allolobophora-related Lumbricidae genera. The tree was obtained from Bayesian inference based on the concatenated sequences of the COI-16S-ND1-12S- 28S molecular markers. Posterior probability values are shown beside nodes.
FIG. 8 in Resampling Bouché's historical localities reveals three new species and helps identifying a new genus of earthworms (Oligochaeta, Hormogastridae and Lumbricidae) in Southeastern France
FIG. 8. — Distribution of Vignysa callasensis Gérard, Decaëns & Marchán, n. sp. (star) and its closest relatives (circles) in Southern France. All species of the genus Vignysa Bouché, 1970 are represented. Credits: Google 2022.
Database for: Meta-analysis of the impact of land use intensification on earthworms in global agroecosystems
<p>The dataset comprises a compilation of studies investigating the impact of land use intensification on earthworms across global agroecosystems. Extracted from peer-reviewed publications, the dataset includes various fields such as climate characteristics are described using the Köppen-Geiger climate classification system. Soil properties such as type, texture, pH, and organic content are documented. Additionally, details regarding experimental parameters like replicates, sampling depth, and extraction methods are provided. Furthermore, the dataset encompasses information on agricultural practices including herbicide, insecticide, pesticide usage, fertilizer type and rate, grazing, tillage methods, and days after tillage for earthworm collection. Abundance, diversity, and their associated metrics are recorded for both control and treatment sites.</p>
Figure 4 in Impact of five different species of bamboo plantations on earthworm communities in West Tripura (India)
Figure 4. Rank abundance curves showing abundance patterns of earthworm species in soils under different species of bamboo plantations.
Figure 3 in Impact of five different species of bamboo plantations on earthworm communities in West Tripura (India)
Figure 3. Bray-Curtis single cluster analysis based on earthworm community composition in the different bamboo plantations.
Figure 1 in Impact of five different species of bamboo plantations on earthworm communities in West Tripura (India)
Figure 1. Photographs of different earthworm species under bamboo plantations of West Tripura- (a) Eutyphoeus comillahnus (b) Amynthus alexandri (c) Metaphire posthuma (d) Eutyphoeus gigas (e) Drawida nepalensis (f) Drawida papillifer papillifer (g) Drawida assamensis (h) Perionyx excavatus (i) Kanchuria sp1 (j) Lampito mauritii (k) Metaphire houlleti (l) Dicogaster bolaui (m) Eutyphoeus gammiei (n) Pontoscolex corethrurus (o) Octochaetona beatrix (p) Lennogaster chittagongensis (q) Eutyphoeus orientalis (r) Lennogaster chittagongensis.
Figure 2 in Impact of five different species of bamboo plantations on earthworm communities in West Tripura (India)
Figure 2. Bar diagram showing earthworm biomasses (g m-2) and densities (No m-2) of anecic and endogeic ecological categories under soils of different bamboo plantations.
Figs 2–5. 2–3 in New Earthworm Species And Records From Albania (Oligochaeta, Lumbricidae)
Figs 2–5. 2–3. Dendrobaena luraensis sp. n.: 2 = setal ratio, 3 = ventrolateral view of the anterior part of the body. 4–5. Octodrilus albanicus sp. n.: 4 = setal ratio, 5 = ventrolateral view of the anterior part
EWINA_IPATHS : a global database of earthworm introductions' pathways into the US from 1945 to 1975
<p><strong>This dataset centralizes data of earthworm interception events at the US borders between 1945 and 1975.</strong></p> <p>These data come from the U.S. Bureau of Plant Quarantine, U.S. Department of Agriculture and were compiled by E. Gates in a list of papers (see references).</p> <p>Each record in the EWINA_IPATHS database relates an interception event of introduced earthworms.</p> <p>Interception events are described by the name of the intercepted species, its abundance, the date and place of interception, the geographical point of origin, the transportation mode (boat, plane, car), and the substrate in which the earthworms were found (e.g. soil, leaves, fish bait).</p> <p>EWINA_IPATHS contains 1 016 events of earthworm interceptions.</p> <p>Files:</p> <ul> <li><strong>EWINAPATH.csv </strong>: dataset itself</li> <li><strong>EWINAPATH_references.csv</strong> : list of references where the data come from. Merge to EWINAPATH.csv with the field source_ID.</li> <li><strong>EWINAPATH_variables.csv</strong>: list of variables and their meaning.</li> </ul> <p> </p> <p> </p>
Fig. 2 in Comparative Analysis Of Fecundity In Related Amphimictic Aporrectodea Caliginosa And Apomictic A. Trapezoides Earthworms, And The Problem Of Reproductive Advantages Of Parthenogenetic Animals
Fig. 2. Mean number of cocoons per one mature specimen in close parthenogenetic (A. trapezoides) and amphimictic (A. caliginosa) earthworm species during the reproduction season of 2019.
Fig. 1 in Comparative Analysis Of Fecundity In Related Amphimictic Aporrectodea Caliginosa And Apomictic A. Trapezoides Earthworms, And The Problem Of Reproductive Advantages Of Parthenogenetic Animals
Fig. 1. Mean number of cocoons per one mature specimen in close parthenogenetic (A. trapezoides) and amphimictic (A. caliginosa) earthworm species during the reproduction season of 2018.
Fig. 5 in The Alternative Distribution Of Related Earthworms Aporrectodea Caliginosa And A. Trapezoides (Oligochaeta, Lumbricidae) In Ukraine As A Case Of Geographical Parthenogenesis
Fig. 5. Changes in the proportion of A. trapezoides in A. caliginosa s. l. sample sets depending on geographical longitude.
Fig. 3. A. caliginosa–A in The Alternative Distribution Of Related Earthworms Aporrectodea Caliginosa And A. Trapezoides (Oligochaeta, Lumbricidae) In Ukraine As A Case Of Geographical Parthenogenesis
Fig. 3. A. caliginosa–A. trapezoides specimens ratio in A. caliginosa s. l. sample sets. Black filling — A. caliginosa, cross-hatching — A. trapezoids.
FIG. 4 in An updated checklist and a DNA barcode library for the earthworms (Crassiclitellata, Oligochaeta) of Corsica, France
FIG. 4. — Some examples of endemic earthworm species sampled in Corsica and their habitats (to their right): A, Scherotheca portonana L4 Qiu & Bouché, 1998; B, alpine pasture at Col de Vergio (Bouché#466); C, Scherotheca albomaculata Qiu & Bouché, 1998; D, open Mediterranean chaparral at Sainte-Lucie de PortoVecchio (Bouché#414); E, Eumenescolex emiliae L1 Qiu & Bouché, 1998; F, Pinus laricio L. forest at Zonza (Bouché#2932); G, Hormogaster insularis Bouché, 1970; H, Quercus suber L. open wood at Volpajola (Bouché#480). Scale bars: 5 cm.
FIG. 2 in An updated checklist and a DNA barcode library for the earthworms (Crassiclitellata, Oligochaeta) of Corsica, France
FIG. 2. — Bayesian inference of the phylogenetic relationships of earthworms from Corsica based on their COI sequences. Species-level genetic lineages (as delimited by ASAP, barcode gap analysis and morphological data) are shown as black triangles in order to facilitate visualization and to display the amount of intra-lineage genetic divergence (indicated by the height of the triangle). Green circles: posterior probability values over 90; all the species-level clades showed values close to 100.
FIG. 1 in An updated checklist and a DNA barcode library for the earthworms (Crassiclitellata, Oligochaeta) of Corsica, France
FIG. 1. — Distribution map of the sampling localities in Corsica Island. Locality codes refer to Table 1. Map base: Qgis.
FIG. 5 in An updated checklist and a DNA barcode library for the earthworms (Crassiclitellata, Oligochaeta) of Corsica, France
FIG. 5. — Observed and estimated species diversity of earthworms in the island of Corsica: A, incidence-based rarefaction and extrapolation curves of species numbers;B, Chao asymptotic estimator of species numbers. The figure compares the results obtained when considering all species-level lineages obtained with DNA barcodes (All), when considering non-cryptic lineages only (NC) and when considering all endemic lineages (End). Solid lines represent rarefaction curves, whereas dashed lines represent extrapolation curves; shaded areas are 95% and error bars confidence intervals based on a bootstrap with 200 replications.
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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.