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High resolution global industrial and smallholder oil palm map for 2019
<p>The dataset contains 634 100x100 km tiles, covering areas where oil palm plantations were detected. The file '<em>grid.shp</em>' contains the grid that covers the potential distribution of oil palm. The file '<em>grid_withOP.shp</em>' shows the 100x100 grid squares with presence of oil palm plantations. The classified images (‘<em>oil_palm_map</em>’ folder, in geotiff format) are the output of the convolutional neural network based on Sentinel-1 and Sentinel-2 half-year composites. The images have a spatial resolution of 10 meters and contain three classes: [1] Industrial closed-canopy oil palm plantations, [2] Smallholder closed-canopy oil palm plantations, and [3] other land covers/uses that are not closed canopy oil palm. The file ‘<em>Validation_points_GlobalOilPalmLayer_2019.shp</em>’ includes the 13,495 points that were used to validate the product. Each point includes the attribute ‘Class’, which is the labelled class assigned by visual interpretation, and the attribute ‘predClass, which reflects the predicted class by the convolutional neural network. The ‘Class’ and ‘predClass’ values are the same as the raster files: [1] Industrial closed-canopy oil palm plantations, [2] Smallholder closed-canopy oil palm plantations, and [3] other land covers/uses that are not closed canopy oil palm.</p> <p>See article for additional information:</p> <p>Descals, Adrià, et al. "High-resolution global map of smallholder and industrial closed-canopy oil palm plantations." <em>Earth System Science Data</em> 13.3 (2021): 1211-1231.</p> <p> </p> <p>Changelog v1:</p> <p>- The analysis was extended to Sri Lanka, South India, and countries in Eastern Africa where oil palm can potentially grow.</p> <p>- The validation dataset only includes the points drawn by simple random sampling and stratified random sampling in the grid cells where the IUCN industrial layer detected oil palm.</p> <p>- The 'Class' and 'predClass' values in the validation dataset were reclassified with the same values as the raster images: [1] Industrial plantations, [2] Smallholder plantations, and [3] Other land covers/uses.</p>
Figure 1 in Effects of commercial oils on the camel tick, Hyalomma dromedarii (Acari: Ixodidae) and their enzyme activities
Figure 1. Mortality percentages of Hyalomma dromedarii semi-engorged females treated with different concentrations of four oils at five successive days after treatment – A. Rosemary; B. Garlic; C. Neem; D. Cyperus. a, b, … etc. indicate significant differences between concentrations (%) of each oil for each day according to Tukey test (P <0.001).
Figure 1 in Detection of Male Mediterranean Fruit Flies (Diptera: Tephritidae): Performance of Trimedlure Relative to Capilure and Enriched Ginger Root Oil
Figure 1. Capture of C. capitata males in TML- versus CPL-baited Jackson traps for 3 replicates in an Oahu coffee field. Abscissa represents period of lure ageing, where 0 weeks represents fresh lures. Bar heights indicate mean of 20 traps per lure type; error bars represent + 1 SE. Symbols above bars show results of the Tukey HSD test comparing the 2 lures for each ageing category, where an asterisk indicates P <0.001 and ns indicates no significant difference.
Fig. 12. Distribution records for E in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 12. Distribution records for E. lia sp. nov., E. mesoamericana sp. nov. and E. rufescens Moure & Seabra, 1959.
Fig. 11 in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 11. Distribution records for Epicharis luteocincta Moure & Seabra, 1959, E. minima (Friese, 1904) and E. obscura Friese, 1899. Symbols with a cross represent records from literature.
Fig. 9 in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 9. Epicharis (Epicharitides) rufescens Moure & Seabra, 1959. A–B. Paratype, ♀ (Brazil: Óbidos; MNRJ). A. Head, frontal view. B. Habitus, lateral view. C–D. Paratype, ♂ (Brazil: Óbidos; MNRJ). C. Head, frontal view. D. Habitus, lateral view. Scale bars: A, C = 1 mm; B, D = 5 mm.
Fig. 2 in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 2. Epicharis (Epicharitides) duckei Friese, 1901. A–B. Female (Brazil: Nova Mutum; INPA). A. Head, frontal view. B. Habitus, lateral view. C–D. Male (Brazil: Belém; MPEG). C. Head, frontal view. D. Habitus, lateral view. Scale bars: A, C = 1 mm; B, D = 5 mm.
Fig. 6 in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 6. Epicharis (Epicharitides) mesoamericana sp. nov., holotype, ♀ (Mama Noots, Stann Creek, Belize; AMNH). A. Head, frontal view. B. Habitus, lateral view. Scale bars: A = 1 mm; B = 5 mm.
Fig. 5 in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 5. Epicharis (Epicharitides) luteocincta Moure & Seabra, 1959. A–B. Female (Brazil: Itirapina; CEPANN). A. Head, frontal view. B. Habitus, lateral view. C–D. Male (Brazil: São Paulo; CEPANN). C. Head, frontal view. D. Habitus, lateral view. Scale bars: A, C = 1 mm; B, D = 5 mm.
Fig. 8 in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 8. Epicharis (Epicharitides) obscura Friese, 1899. A–B. Female (Brazil: Mogi das Cruzes; CEPANN). A. Head, frontal view. B. Habitus, lateral view. C–D. Male (Brazil: Santa Teresa; HNHM). C. Head, frontal view. D. Habitus, lateral view. Scale bars: A, C = 1 mm; B, D = 5 mm.
Fig. 10. Distribution records for Epicharis cockerelli Friese, 1900, E. duckei Friese, 1901 and E. iheringi Friese, 1899. Symbols with a in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 10. Distribution records for Epicharis cockerelli Friese, 1900, E. duckei Friese, 1901 and E. iheringi Friese, 1899. Symbols with a cross represent records from literature.
Fig. 4 in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 4. Epicharis (Epicharitides) lia sp. nov., holotype, ♀ (Peru: Pilcopata; MNRJ). A. Head, frontal view. B. Habitus, lateral view. Scale bars: A = 1 mm; B = 5 mm.
Fig. 1 in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 1. Epicharis (Epicharitides) cockerelli Friese, 1900. A–B. Female (Brazil: Passos; DZMG). A. Head, frontal view. B. Habitus, lateral view. C–D. Male (Brazil: Passos; DZMG). C. Head, frontal view. D. Habitus, lateral view. Scale bars: A, C = 1 mm; B, D = 5 mm.
Fig. 3 in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 3. Epicharis (Epicharitides) iheringi Friese, 1899. A–B. Female (Brazil: Cássia dos Coqueiros; RPSP). A. Head, frontal view. B. Habitus, lateral view. C–D. Male (Brazil: Varginha; MNRJ). C. Head, frontal view. D. Habitus, lateral view. Scale bars: A, C = 1 mm; B, D = 5 mm.
Fig. 7 in Taxonomic revision of the oil-collecting bee subgenus Epicharis (Epicharitides) Moure, 1945 (Hymenoptera: Apidae), with the description of two new species
Fig. 7. Epicharis (Epicharitides) minima (Friese, 1904). A–B. Female (Brazil: Vilhena; MNRJ). A. Head, frontal view. B. Habitus, lateral view. C–D. Male (Brazil: Cajuru; RPSP). C. Head, frontal view. D. Habitus, lateral view. Scale bars: A, C = 1 mm; B, D = 5 mm.
Characterising underwater noise and changes in harbour porpoise behaviour during the decommissioning of an oil and gas platform
<p>Many man-made marine structures (MMS) will have to be decommissioned in the coming decades. While studies on the impacts of the construction of MMS on marine mammals exist, no research has been done on the effects of their decommissioning. The complete removal of an oil and gas platform in Scotland in 2021 provided an opportunity to investigate the response of harbour porpoises to decommissioning. Arrays of broadband noise recorders and echolocation detectors were used to describe noise characteristics produced by decommissioning activities and assess porpoise behaviour. During decommissioning, sound pressure levels in the frequency range 100 Hz to 10 kHz were 30-40 dB higher than baseline, with the presence of vessels being the main source of noise. The study detected small-scale (< 2 km) and short-term levels of porpoise displacement during decommissioning, with porpoise occurrence increasing immediately after this. These findings can inform the consenting process of future decommissioning projects.</p>
Practica 1 Web Scraping Oil Price Data
<p>Dataset about the prices of the oil and its products with and without taxes across the years1.0</p>
Annual oil palm plantation maps in Malaysia and Indonesia from 2001 to 2018
<p>This package supplements the following paper submitted to ESSD: <strong>Annual oil palm plantation maps in Malaysia and Indonesia from 2001 to 2016</strong>.<br> This dataset contains the updated version (v4) of the annual oil palm plantation maps for Malaysia and Indonesia from 2001 to 2018 at 100 resolution. </p>
Database for the Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México
<p>This dataset is associated with the journal article "Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México" by Muñoz-Arriola and Macias-Zamora (2022). The porphyrin and biogeochemical data were obtained by and analyzed at the Universidad Autónoma de Baja California's Instituto de Investigaciones Oceanológicas. The samples were collected to identify the effects of natural and human-originated oil spills in the Campeche Sound, and these efforts are part of the oceanographic campaign Xaman-Ek.</p> <p> </p> <p>Associated references are:</p> <p>Munoz-Arriola, F. and V. Macias-Zamora (2022) <em>Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México</em>. Geosciences. https://doi.org/10.3390/ geosciences12020077.</p> <p>Macias-Zamora, J. V., J. A. Villaescusa-Celaya; A. Munoz-Barbosa; and G. Gold-Bouchot (1999). Trace metals in sediment cores from the Campeche shelf, Gulf of Mexico. Environmental Pollution. Vol 104:69-77.</p> <p> </p>
ARCHIMED-φ simulation files for the simulation of Design A from the article "When architectural plasticity fails to counter the light competition imposed by planting design: an in silico approach using a functional-structural model of oil palm"; in silico Plants journal
<p>Input files for the simulation of Design A in ARCHIMED-φ from the article "When architectural plasticity fails to counter the light competition imposed by planting design: an in silico approach using a functional-structural model of oil palm"; in silico Plants journal.</p> <p>See https://archimed-platform.github.io/archimed-phys-user-doc/ for more details on the model.</p> <p>Make a simulation by opening a terminal at the root of the folder and type: `java -jar .\archimed-phys.jar .\DesignA_MockUpA_seed1_MAP_72.yml`.</p>
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.