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Distribution. Anti-tropical distribution: N Atlantic Ocean, in a poorly defined region ranging from Ireland to the Canary Is in the E, and from Nova Scotia to Florida in the W, Southern Hemisphere, recorded in S Brazil, South Africa, Madagascar, and S Australia. Nevertheless, due to the small number of records, the full extent of its distribution in the Southern Hemisphere is unclear. in Ziphiidae
Distribution. Anti-tropical distribution: N Atlantic Ocean, in a poorly defined region ranging from Ireland to the Canary Is in the E, and from Nova Scotia to Florida in the W, Southern Hemisphere, recorded in S Brazil, South Africa, Madagascar, and S Australia. Nevertheless, due to the small number of records, the full extent of its distribution in the Southern Hemisphere is unclear.
Distribution. Warmer waters ofthe Pacific and Indian oceans in an area ranging from S India and Sri Lanka to Taiwan, Japan, SE Australia, Galapagos Is, and California. Exact distribution remains unclear due to the small number of known strandings, and the taxonomic confusion between the Ginkgo-toothed Beaked Whale and the Deraniyagala's Beaked Whale (Mesoplodonhotaula). in Ziphiidae
Distribution. Warmer waters ofthe Pacific and Indian oceans in an area ranging from S India and Sri Lanka to Taiwan, Japan, SE Australia, Galapagos Is, and California. Exact distribution remains unclear due to the small number of known strandings, and the taxonomic confusion between the Ginkgo-toothed Beaked Whale and the Deraniyagala's Beaked Whale (Mesoplodonhotaula).
FIGURE. Phylogenetic tree derived from Bayesian analysis, based on nrLSU data. Posterior probability (PP> 0.95) values from the Bayesian analysis are added at the nodes. The scale bar represents the number of nucleotide changes per site. (T) indicates the type specimen for this species. The new species are in bold. in Four new species of Entoloma (Entolomataceae, Agaricomycetes) subgenera Cyanula and Claudopus from Vietnam and their phylogenetic position
FIGURE. Phylogenetic tree derived from Bayesian analysis, based on nrLSU data. Posterior probability (PP> 0.95) values from the Bayesian analysis are added at the nodes. The scale bar represents the number of nucleotide changes per site. (T) indicates the type specimen for this species. The new species are in bold.
Distribution. New Guinea, known only from a small number of specimens collected between 1984 and 1985 in the S side of the Central Range, from Mt Bosavi and Mt Sisa in the W and Mt Victoria and Vanapa River in the E. in Dasyuridae
Distribution. New Guinea, known only from a small number of specimens collected between 1984 and 1985 in the S side of the Central Range, from Mt Bosavi and Mt Sisa in the W and Mt Victoria and Vanapa River in the E.
Subspecies and Distribution. C.o.olivaceusSchomburgk,1848—mightberestrictedtotheVenezuelanAmazonBasinfromtheupperRioOrinoco,andthroughouttheOrinocosavannaabovethemouthoftheRioMeta,asfarNandWastheSierradePerijaandtheVenezuelanC.o.dela C.o. (C.o. Range), to the left bank of the Rio Essequibo in W Guyana, in forests of the Guiana Shield; distributional limits separating the two subspecies are not well known. C. o. castaneus 1. Geoffroy Saint-Hilaire, 1851 — Guianas (possibly from the Rio Essequibo in Guyana E through Suriname and French Guiana) and N Brazil, where its distributional limits are not well known but are possibly marked by the rios Negro and Branco and Catrimani (right bank affluent of the Rio Branco) in the W, the Rio Amazonas in the S, and the Atlantic coast in the E, and it also occurs on Caviana and Mexiana Is in the estuary of the Rio Amazonas. Small numbers introduced as pets are now feral on Margarita I off the Venezuelan coast. in Cebidae
Subspecies and Distribution. C.o.olivaceusSchomburgk,1848—mightberestrictedtotheVenezuelanAmazonBasinfromtheupperRioOrinoco,andthroughouttheOrinocosavannaabovethemouthoftheRioMeta,asfarNandWastheSierradePerijaandtheVenezuelanC.o.dela C.o. (C.o. Range), to the left bank of the Rio Essequibo in W Guyana, in forests of the Guiana Shield; distributional limits separating the two subspecies are not well known. C. o. castaneus 1. Geoffroy Saint-Hilaire, 1851 — Guianas (possibly from the Rio Essequibo in Guyana E through Suriname and French Guiana) and N Brazil, where its distributional limits are not well known but are possibly marked by the rios Negro and Branco and Catrimani (right bank affluent of the Rio Branco) in the W, the Rio Amazonas in the S, and the Atlantic coast in the E, and it also occurs on Caviana and Mexiana Is in the estuary of the Rio Amazonas. Small numbers introduced as pets are now feral on Margarita I off the Venezuelan coast.
FIGURE. Maps with overlapping quadrants showing the distribution of Drosera in Brazil. a, number of species per grid of 1 degree. b, number of species per grid of 0.1 degrees. in A synopsis of the genus Drosera (Droseraceae) in Brazil
FIGURE. Maps with overlapping quadrants showing the distribution of Drosera in Brazil. a, number of species per grid of 1 degree. b, number of species per grid of 0.1 degrees.
FIGURE 2 in Low and high elevation Heliosperma species (Caryophyllaceae)-insight based on chromosome number, pollen characters and seed micromorphology
FIGURE 2. Chromosome number and pollen characters in Heliosperma spp. Somatic chromosome number (2n = 26) in root meristematic cell of H. pusillum subsp. chromodontum (a), pollen size, shape and viability after Alexander staining in H. macranthum (green—non-viable and purple—viable pollen grains inserted) (b).
FIGURE 5 in Low and high elevation Heliosperma species (Caryophyllaceae)-insight based on chromosome number, pollen characters and seed micromorphology
FIGURE 5. Factorial analysis of mixed data (FAMD) of seeds characters and hierarchical clustering on its principal components (HCPC). Distribution of the quantitative variables (a). Distribution of the qualitative variables (b); 2-4rows—number of rows in crest; 1- 2chambers—number of hilum chambers; marginal/middle—hilum location; brown/black—colour of seed; present/lack—waxes in hilum chambers; matt/shiny—surface type. Variation of elevation variable (c). Variation of habitat variable (numbers correspond to NATURA 2000 codes) (d). Five clusters of species identified by Hierarchical Clustering on Principal Components (HCPC) (e). ALP—H. alpestre; MAC—H. macranthum; RET—H. retzdorffianum; NIC—H. nikolicii; OLI—H. oliverae; PUS—H. pusillum subsp. pusillum; ALB—H. pusillum subsp. albanicum; MARK—H. pusillum subsp. markgrafii; MON—H. pusillum subsp. monachorum; CAN—H. pusillum var. candavicum; CHROM—H. pusillum subsp. chromodontum.
FIGURE 4 in Low and high elevation Heliosperma species (Caryophyllaceae)-insight based on chromosome number, pollen characters and seed micromorphology
FIGURE 4. Seed microstructure in Heliosperma spp. a0–a3 and b0–b3 general seed view, c0–c3 view of cells near crest (dorsal view), d0–d3 view of the cells near the hilum (ventral view), e0–e3—view of the hilum. a0–e0—H. macranthum, a1–e1—H. pusillum subsp. chromodontum, a2–e2—H. retzdorffianum, a3–e3—H. pusillum ssp. markgrafii. Bars in a0–a3 = 500 µm, b0–b3 = 250 µm, c0–c3, d0–d3, e0–e3 = 30 µm.
FIGURE 3 in Low and high elevation Heliosperma species (Caryophyllaceae)-insight based on chromosome number, pollen characters and seed micromorphology
FIGURE 3. Capsules of Heliosperma macranthum (a) and H. retzdorffianum (b, c). Note seeds sticked to the pubescent plants (arrows in c).
FIGURE. Distribution of Dicorynia. Physical map of the Amazonian region with all analyzed specimens of Dicorynia. A large amount of point overlays leading to reduced number of visible points is due to the large percentage of materials being old collections that rely only on the name of the municipality or similar. Source: NASA with modifications. Note that almost all specimens are contained in areas with less than 200 m high and the high elevations of the Guiana shield may represent a form of isolation between the two species. in A Taxonomic Revision of the Amazonian Genus Dicorynia (Fabaceae: Dialioideae)
FIGURE. Distribution of Dicorynia. Physical map of the Amazonian region with all analyzed specimens of Dicorynia. A large amount of point overlays leading to reduced number of visible points is due to the large percentage of materials being old collections that rely only on the name of the municipality or similar. Source: NASA with modifications. Note that almost all specimens are contained in areas with less than 200 m high and the high elevations of the Guiana shield may represent a form of isolation between the two species.
PNS-Cyst-Count-Artifical: images of controlled number of nematode cysts with orgnic debris
<p>Data collected by the PheNeSens (Phenotyping of Nematodes with Sensors) project. The images recorded cysts of sugar beet nematode, together with organic debris from the soil sample, left after the soil processing.</p> <p>This dataset was generated by manually picking nematode cysts into organic debris, so that the cyst count is known and controlled. A total of 6x8=48 samples were synthesized. Each sample contains 30 images.</p> <p>We also collected images of real soil samples, which is available from the links:</p> <p>https://zenodo.org/record/6861775</p> <p>https://zenodo.org/record/6861814</p> <p>For details of the data collection and deep learning model training, refer to our paper:</p> <p>Chen L, Daub M, Luigs H-G, Jansen M, Strauch M and Merhof D (2022) High-throughput phenotyping of nematode cysts. Front. Plant Sci. 13:965254. doi: 10.3389/fpls.2022.965254 [<a href="https://www.frontiersin.org/articles/10.3389/fpls.2022.965254/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Plant_Science&id=965254">link</a>]</p>
Although previously included in O. typus, O. jackson: differs from it in body size, number of M® lamina, and genetically. Monotypic. Distribution. Known only from Mt Elgon, E Uganda and W Kenya. Descriptive notes. Head-body 120-171 mm, tail 57-82 mm, ear 19-26 mm, hindfoot 19-26 mm; weight 70-121 g. The Mount Elgon Vlei Rat is medium to large in size and robust, with large blunt head, shorttail, and shaggy fur; it is the smallest of the O. typus species group. Fur coloris not clearly distinct from the Ethiopian Vlei Rat (O. typus). Lower incisors each have two deep grooves. M, has four laminae, and M? has seven laminae. in Muridae
Although previously included in O. typus, O. jackson: differs from it in body size, number of M® lamina, and genetically. Monotypic. Distribution. Known only from Mt Elgon, E Uganda and W Kenya. Descriptive notes. Head-body 120-171 mm, tail 57-82 mm, ear 19-26 mm, hindfoot 19-26 mm; weight 70-121 g. The Mount Elgon Vlei Rat is medium to large in size and robust, with large blunt head, shorttail, and shaggy fur; it is the smallest of the O. typus species group. Fur coloris not clearly distinct from the Ethiopian Vlei Rat (O. typus). Lower incisors each have two deep grooves. M, has four laminae, and M? has seven laminae.
Distribution. Present in most of mainland New Guinea, as well as a number ofislands in the Raja Ampat Is (Batanta), Cenderawasih (= Geelvink) Bay (Yapen and Biak), and the Bismarck Archipelago (New Britain) and D'Entrecasteaux Is (Goodenough, Fergusson, and Normanby). in Muridae
Distribution. Present in most of mainland New Guinea, as well as a number ofislands in the Raja Ampat Is (Batanta), Cenderawasih (= Geelvink) Bay (Yapen and Biak), and the Bismarck Archipelago (New Britain) and D'Entrecasteaux Is (Goodenough, Fergusson, and Normanby).
Size spectrum, time series and atom number distribution of macroalgal emission vapors and oxidation products
<p>We conducted oxidation and NPF experiments with vapor emissions from real-world coastal macroalgae in a bag reactor. The dataset showed the measurement results of volatile precursors and their oxidation products. The dataset was organized by the order of figures in our submitted manuscript.</p>
FIGURE. Multilocus phylogenetic tree inferred from Bayesian analysis based on the combined TEF1-α and ACT sequences. Bayesian posterior probabilities are indicated next to the nodes. The tree was rooted with Cladosporium herbarum CBS 121621. The species in this study are indicated in bold. Types of species are indicated after the culture collection number (T = ex-type, ex-epitype, ex-neotype, or reference strain). in Six new species of Cladosporium associated with decayed leaves of native bamboo (Bambusoideae) in a fragment of Brazilian Atlantic Forest
FIGURE. Multilocus phylogenetic tree inferred from Bayesian analysis based on the combined TEF1-α and ACT sequences. Bayesian posterior probabilities are indicated next to the nodes. The tree was rooted with Cladosporium herbarum CBS 121621. The species in this study are indicated in bold. Types of species are indicated after the culture collection number (T = ex-type, ex-epitype, ex-neotype, or reference strain).
FIGURE. (Continued) Multilocus phylogenetic tree inferred from Bayesian analysis based on the combined TEF1-α and ACT sequences. Bayesian posterior probabilities are indicated next to the nodes. The tree was rooted with Cladosporium herbarum CBS 121621. The species in this study are indicated in bold. Types of species are indicated after the culture collection number (T = ex-type, ex-epitype, exneotype, or reference strain). in Six new species of Cladosporium associated with decayed leaves of native bamboo (Bambusoideae) in a fragment of Brazilian Atlantic Forest
FIGURE. (Continued) Multilocus phylogenetic tree inferred from Bayesian analysis based on the combined TEF1-α and ACT sequences. Bayesian posterior probabilities are indicated next to the nodes. The tree was rooted with Cladosporium herbarum CBS 121621. The species in this study are indicated in bold. Types of species are indicated after the culture collection number (T = ex-type, ex-epitype, exneotype, or reference strain).
Dataset for "Number-size distribution and CCN activity of atmospheric aerosols in the western North Pacific during spring pre-bloom period: Influences of terrestrial and marine sources, J. Geophys. Res. Atmos."
<p>A cruise observation was conducted over the western North Pacific Ocean in March 2015. The dataset in the excel sheet contains aerosol number-size distributions and CCN number concentrations along with ship positions and date/time. This dataset is for Kawana et al. in Journal of Geophysical Research: Atmospheres.</p> <p>Kaori Kawana, Yuzo Miyazaki, Yuko Omori, Hiroshi Tanimoto, Sara Kagami, Koji Suzuki, Youhei Yamashita, Jun Nishioka, Yange Deng, Hikari Yai, and Michihiro Mochida: Number-size distribution and CCN activity of atmospheric aerosols in the western North Pacific during spring pre-bloom period: Influences of terrestrial and marine sources, J. Geophys. Res. Atmos.</p>
Fig. 5 in Pretrained Convolutional Neural Networks Perform Well in a Challenging Test Case: Identification of Plant Bugs (Hemiptera: Miridae) Using a Small Number of Training Images
Fig. 5. Visualization of a feature with high importance and a feature with low importance from a configuration B. The importance of these features for the identification accuracy was determined using permutation tests (see the methods). For each taxon or group (rows) several randomly selected specimens (columns) are shown. For the two selected Global Average Pooling layer features, the corresponding features of the preceding (Max Pooling) layer are visualized as those show specific image parts that had higher activations.Yellow represents the maximal activation strength; dark blue represents the minimal activation strength.
Fig. 2 in Pretrained Convolutional Neural Networks Perform Well in a Challenging Test Case: Identification of Plant Bugs (Hemiptera: Miridae) Using a Small Number of Training Images
Fig. 2. Schematic representation of the networks used. On top are the convolutional layers of VGG16, grouped into five blocks. Output of each Max Pooling layer is fed into Global Average Pooling layer. Numbers near each block name indicate number of features in the Global Average Pooling layer. Height of layers roughly corresponds to resolution (except for Global Average Pooling layer), while width roughly corresponds to the number of feature maps or features produced.Then, in approach A, outputs of five blocks are concatenated and passed to the linear classifier. In approach B, output of only one block (block 3 in the final configuration) is passed to the linear classifier. In approach C CNN outputs are as in approach A, but instead connected to a DNN with two layers of 320 fully connected (FC) neurons followed by a prediction layer (PL), with number of neurons equal to number of species classified. Finally, approach D features CNN as in approach B which is connected to DNN as in approach C.
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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.