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Fig. 2. Species accumulation curves for 45 in Mammal inventories in Seasonal Neotropical Forests: traditional approaches still compensate drawbacks of modern technologies
Fig. 2. Species accumulation curves for 45 sampling days for each method used to sample mammals in Serra do Japi Biological Reserve, JundiaÍ, State of SÃo Paulo, Brazil in July and August 2009 and January and February 2010.
Fig. 1 in Mammal inventories in Seasonal Neotropical Forests: traditional approaches still compensate drawbacks of modern technologies
Fig. 1. Serra do Japi Biological Reserve location (SÃo Paulo, Brazil), and camera trap (white circles) and transect placement within the reserve limits. Thin line: limits of REBIO Serra do Japi. Satellite image from Google Earth®.
Figures 6–9 in The potential of Malaise traps as an important tool in butterfly (Lepidoptera, Papilionoidea) inventories, based on studies conducted in Republic of Congo
Figures 6–9 – Examples showing the condition of larger butterflies sampled in Malaise traps in Parc National de Nouabalé-Ndoki, Republic of Congo. 6 – Papilio (Princeps) hesperus hesperus Westwood. 7 – Papilio (Princeps) chrapkowskoides nurettini Koçak. 8 – Laodice mycerina nausicaa (Staudinger). 9 – Charaxes nobilis nobilis Druce.
Figures 2–5 in The potential of Malaise traps as an important tool in butterfly (Lepidoptera, Papilionoidea) inventories, based on studies conducted in Republic of Congo
Figures 2–5 – Malaise traps deployed in various localities and habitat types in Parc National de Nouabalé-Ndoki, Republic of Congo. 2 – Bomassa Forest (Gressitt & Gressitt-type trap over streambed). 3 – Makao Forest (Townes-type trap over streambed). 4 – Mondika Camp (Gressitt & Gressitt-type trap across forest path). 5 – Mombongo Camp (Gressitt & Gressitttype trap across disused forest road). Photographs: Violette Dérozier.
Figure 1 – Parc National d in The potential of Malaise traps as an important tool in butterfly (Lepidoptera, Papilionoidea) inventories, based on studies conducted in Republic of Congo
Figure 1 – Parc National d'Nouabalé-Ndoki (PNNN) and the surrounding Unité Forestière d'Aménagement. Sampling localities: 1. Mombongo Camp; 2. Bomassa Forest; 3. Wali Forest; 4. Mondika Camp; 5. Mbeli Camp; 6. Ndoki Formation; 7. Makao Forest.
Rainfall-Induced Landslide Inventory of the 2014 Itaóca Event, Ribeira Valley, Brazil
<p>Heavy precipitation on January 12, 2014, triggered numerous shallow landslides in Itaóca, Ribeira Valley, Brazil. The inventory was manually created using a RapidEye satellite image (5 m spatial resolution) acquired on January 30, 2014, 18 days after the event. Specific criteria were applied to identify shallow landslides through image interpretation. These criteria included the absence of vegetation, proximity to the drainage network, altimetric variation, planar rupture surfaces, slope position, as well as the shape and size of the features. The dataset is provided in shapefile format and contains 1,723 polygons representing the areas affected by shallow landslides.</p> <p> </p>
Rapid mapping inventories of landslides triggered by heavy rainfall in the Emilia-Romagna region (Italy) during May 2023
<p>The dataset contains the spatial explicit inventories of landslides triggered by heavy rainfall in the Emilia-Romagna region (Italy) during May 2023. Hybrid pixel-based and object-based image analysis approach was used to generate the rapid mapping products. The fully automated supervised procedure relies on change detection analysis, based on quantitative variation of vegetation cover in pre-event and post-event remote sensing imagery. Two separate inventories were generated using:<br>- Copernicus Sentinel-2 MSI satellite imagery<br>- PlanetScope SuperDove satellite imagery</p> <p>The dataset is a spatial representation vector polygons representing potential landslides, distributed in GeoPackage format, complemented with confidence measure. It contains modified Copernicus Sentinel data, available at no cost from Copernicus Open Access Hub. Use of PlanetScope images is under license: ©Planet Labs PBC, CC BY-NC-SA 2.0.</p>
FIG. 13 in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 13. — Urohyal, ventral view. A, Cambeva diffusa n. sp.; B, Cambeva pericoh n. sp.; C, Cambeva imaruhy n. sp.; D, Cambeva orbitofrontalis n. sp.; E, Cambeva panthera n. sp.; F, Cambeva grisea n. sp.; G, Cambeva duplimaculata n. sp.; H, Cambeva longipalata n. sp.; I, Cambeva notabilis n. sp.; J, Cambeva urubici n. sp.
FIG. 12 in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 12. — Left suspensorium and opercular series, lateral view: A, Cambeva diffusa n. sp.; B, Cambeva pericoh n. sp.; C, Cambeva imaruhy n. sp.; D, Cambeva orbitofrontalis n. sp.; E, Cambeva panthera n. sp.; F, Cambeva grisea n. sp.; G, Cambeva duplimaculata n. sp.; H, Cambeva longipalata n. sp.; I, Cambeva notabilis n. sp.; J, Cambeva urubici n. sp. Abbreviations of structures indicated by arrows are: iac, interopercular anterior concavity; ppe, preopercular postero-dorsal expansion; odc, opercular dorsal constriction; odp, opercular dorsal process; ppp, parurohyal posterior process. Larger stippling represents cartilaginous areas.
FIG. 10. — Cambeva urubici n in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 10. — Cambeva urubici n. sp., UFRJ 6967, holotype, 65.6 mm SL: A, left lateral view; B, dorsal view; C, ventral view.
FIG. 9. — Cambeva notabilis n in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 9. — Cambeva notabilis n. sp., UFRJ 6965, holotype, 71.7 mm SL: A, left lateral view; B, dorsal view; C, ventral view.
FIG. 8. — Cambeva longipalata n in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 8. — Cambeva longipalata n. sp., UFRJ 6944, holotype, 86.0 mm SL: A, left lateral view; B, dorsal view; C, ventral view.
FIG. 7. — Cambeva duplimaculata n in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 7. — Cambeva duplimaculata n. sp., UFRJ 6949, holotype, 83.4 mm SL: A, left lateral view; B, dorsal view; C, ventral view.
FIG. 6. — Cambeva grisea n in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 6. — Cambeva grisea n. sp., UFRJ 6936, holotype, 43.1 mm SL: A, left lateral view; B, dorsal view; C, ventral view.
FIG. 5. — Cambeva panthera n in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 5. — Cambeva panthera n. sp., UFRJ 6984, holotype, 66.5 mm SL: A, left lateral view; B, dorsal view; C, ventral view.
FIG. 2. — Cambeva pericoh n in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 2. — Cambeva pericoh n. sp., UFRJ 6969, holotype, 97.3 mm SL: A, left lateral view; B, dorsal view; C, ventral view.
FIG. 1. — Cambeva diffusa n in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 1. — Cambeva diffusa n. sp., UFRJ 6968, holotype, 112.3 mm SL.: A, left lateral view; B, dorsal view; C, ventral view.
FIG. 14 in Field inventory reveals high diversity of new species of mountain catfishes, genus Cambeva Katz, Barbosa, Mattos & Costa, 2018 (Siluriformes: Trichomycteridae), in south-eastern Serra Geral, southern Brazil
FIG. 14. — Map of geographical distribution of Cambeva Katz, Barbosa, Mattos & Costa, 2018 in the southeastern nucleus of the Serra Geral (SESG), southern Brazil.
Fig. 5 in Hoverflies (Diptera: Syrphidae) of El Ventorrillo Biological Station, Madrid province, Spain: a perspective from a late twentieth century inventory
Fig. 5. Hoverfly diversity of Sierra de Guadarrama (species richness). All localities with hoverfly records in the literature are included. The category 'undefined' refers to unspecified localities within Sierra de Guadarrama. M, Madrid province; SG, Segovia province.
Fig. 4 in Hoverflies (Diptera: Syrphidae) of El Ventorrillo Biological Station, Madrid province, Spain: a perspective from a late twentieth century inventory
Fig. 4. Biogeographic diversity of El Ventorrillo hoverflies. Species known to be present in each biogegraphic zone of Europe, expressed both in species richness (within grey bar) and percentage (above bar) calculated from the total number of species found at El Ventorrillo. Notice that a species can be present in more than one biogeographic zone.
ScienceDex guides
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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.