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Figure 5 from: Meier R, Ang Y, Wong L (2013) Using seemingly unnecessary illustrations to improve the diagnostic usefulness of descriptions in taxonomy–a case study on Perochaeta orientalis (Diptera, Sepsidae). ZooKeys 355: 9-27. https://doi.org/10.3897/zookeys.355.6013
Figure 5 - Hypopygia, sternite appendages and anepimeral + greater ampullal microtrichosity of the five other Perochaeta: Perochaeta cuirassa (CA-CC), Perochaeta dikowi (DA-DC), Perochaeta exilis (EA-EC), Perochaeta hennigi (HA-HC) and Perochaeta lobo (LA-LC); adapted from Ang and Meier (2008; Perochaeta cuirassa and Perochaeta lobo), Ang et al. (2008; Perochaeta dikowi), Iwasa (2011; Perochaeta exilis) and Ozerov (1992; Perochaeta hennigi). Suffixes refer to: A sternite appendage, left side ventral view B hypopygium, right side dorsal view C Surstylus, lateral view D Anepimeron + greater ampulla [image not available for Perochaeta hennigi (prefix H)]. Perochaeta lobo (prefix L) has a similar anepimeral microtrichosity as Perochaeta cuirassa (CD). Scale bars = 0.5mm.
Figure 6 from: Meier R, Ang Y, Wong L (2013) Using seemingly unnecessary illustrations to improve the diagnostic usefulness of descriptions in taxonomy–a case study on Perochaeta orientalis (Diptera, Sepsidae). ZooKeys 355: 9-27. https://doi.org/10.3897/zookeys.355.6013
Figure 6 - Copulatory profile for Perochaeta orientalis, as described in Section 2 (Copulation). Horizontal bars in graph indicate point in time (X-axis) where then the particular behaviour (Y-axis) is performed. The profile begins from when the male mounts the female, and ends when they begin to separate (total time = 72m 30s).
Figure 4 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 4 - Distribution of Katydid Biotic Index (KBI) among ecosystem threat statuses (mean ± s.e.).
Figure 3 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 3 - Distribution of South African and Cape Floristic Region katydid species among Tettigoniidae subfamilies.
Figure 2 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 2 - Composition of South African (A, C, E) and Cape Floristic Region (B, D, F) katydid assemblages as characterised by their distribution (A, B), mobility (C, D), and trophic level (E, F) relative to their IUCN threat status.
Figure 1 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 1 - Proportion of South African (A, C, E, G) and Cape Floristic Region (B, D, F, H) katydid assemblages as characterised by the KBI assessment criteria (Threat Status, Distribution, Trophic level and Mobility).
Figure 5 from: Thompson AC, Bazelet CS, Naskrecki P, Samways MJ (2017) Adapting the Dragonfly Biotic Index to a katydid (Tettigoniidae) rapid assessment technique: case study of a biodiversity hotspot, the Cape Floristic Region, South Africa. Journal of Orthoptera Research 26: 63-71. https://doi.org/10.3897/jor.26.14552
Figure 5 - Map of ecosystem threat statuses and the average KBI scores (i.e. KBI/Site) of each ecosystem.
Case study 3 AnnData object
<p>Dataset for the Filter, Plot & Explore tutorial.</p>
USE OF TOBACCO EXTRACT AS PESTICIDE TO FIGHT CABBAGE CATERPILLARS AND APHIA: CASE STUDY FROM THE ADMINISTRATIVE POST OF MATSINHO
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Data For Hybrid Monte-Carlo Molecular Dynamics Methods For Estimation of Solidus and Liquidus Compositions, a Case Study in Cu-Ni and Au-Si
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Supplementary data for the manuscript "Guided Transformation of Abandoned Hydrocarbon Fields into Heat Storage Solutions Using Enhanced MCDA-AHP Geostatistical Based Method: Hungarian Case Study.
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Figure 2 in Quantifying scientific significance of a fossil site: the Gogo Fossil sites (Late Devonian, Western Australia) as a case study
Figure 2. Examples of Gogo fish preservation (WAM = Western Australian Museum; NMV P = Museum Victoria Palaeontology Collection). A, eubrachythoracid placoderm Mcnamaraspis kaprios, the state fossil emblem of Western Australia (WAM 86.9.676, from Long, 1995). B, The tetrapodomorph fish Gogonasus andrewsae (NMV P221807). C, the ptyctodontid placoderm Austroptyctodus gardineri which has 3 embryos preserved inside it (WAM 86.9.662). D, palatal view of the lungfish 'Chirodipterus' australis (most likely a new genus). WAM 90.10.8. Scale bars are 1 cm.
Fig. 1 in Heracleum Sosnowskyi Manden. Monitoring In Protected Areas - A Case Study In Rēzekne Municipality, Latvia
Fig. 1. Studied sites in Rēzekne municipality. LKS-92 coordinate system. Due to the large differences among the studied sites, small sites are not visible in the map (Author: E. Tripāne).
Figure 7 in Fishers' perceptions of river resources: case study of French Guiana native populations using contextual cognitive mapping
Figure 7. – Cognitive map of fishers' perceptions of "Commercial fishing" vs. "Subsistence fishing".
Figure 3 in Fishers' perceptions of river resources: case study of French Guiana native populations using contextual cognitive mapping
Figure 3. – Overview of the cognitive maps of fishers' statements. "Fish resource and environment" received 8 edges (incoming arrows), of which 7 were threats, in 4 broad categories: gold mining, demographic, preservation, and fishing practices. The width of each edge is pro- portional to the number of cognitive maps where this statement appears. Zero label (for example in the [0, -1] between "Number of villagers" and "Fish resource") means that there is no influence between the two concepts, while an empty one ([,-3] between "Fish migration" and "Fish resource") means that nobody talked about it.
Figure 1 in Fishers' perceptions of river resources: case study of French Guiana native populations using contextual cognitive mapping
Figure 1. – Left: French Guiana, on the northern Atlantic coast of South America, is located between Brazil to the east and south, and Suriname to the west. Right: Locations of the villages (excluding Maripasoula City) where fishers were interviewed.
Figure 5 in Fishers' perceptions of river resources: case study of French Guiana native populations using contextual cognitive mapping
Figure 5. – Cognitive maps of threats of gold mining to the fish resource and environment. Several individuals provided a detailed causal chain, while others focused on broad impacts.
Figure 1 in Rivers in search of the European eel. Distribution and threats of the Critically Endangered Anguilla anguilla (Linnaeus, 1758) in Sicily: the province of Ragusa as a case study
Figure 1. – Distribution of the European eel Anguilla anguilla in the rivers of the Ragusa province. (D: Dirillo, A: Amerillo, Mz: Mazzarronello, Ip: Ippari, R: Rifriscolaro, I: Irminio, V: Volpe, M: Mastratto, C: Ciaramite, SL: San Leonardo, MS: Modica-Scicli, F: Favara, Tr: Tellaro, Tl: Tellesimo, Pr: Prainito; m: mortality; p: poaching).
FIGURE 5 in Anthropologically introduced biases in natural history collections, with a case study on the invertebrate paleontology collections from the middle Cambrian Spence Shale Lagerstätte
FIGURE 5. Composition of the Spence Shale fauna by number of genera, comparing the most recent faunal list based on Kimmig et al., 2019; and results from the PBDB. Genera in the PBDB not present on the most recent list are colored in red. The proportion of genera from each taxonomic group is expressed as a percentage above each count.
FIGURE 2 in Anthropologically introduced biases in natural history collections, with a case study on the invertebrate paleontology collections from the middle Cambrian Spence Shale Lagerstätte
FIGURE 2. Location of the Spence Shale A. Location in the western United States. B. Topographic relief showing the main mountain ranges and collecting localities. The Wasatch Range contains the High Creek and Blacksmith Fork localities, and the Bear River Range contains Emigration Canyon, Oneida and the type locality Spence Gulch. C. Enlargement of the Wellsville Mountain Range (MH=Miners Hollow, CFC=Calls Fort Canyon, DC=Donation Canyon, CC=Cataract Canyon, AC=Antimony Canyon, HC=Hansen Canyon). Modified from Whitaker et al., 2020.
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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.