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12,237 results for “2019”

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zenodo28/100

Figure 2 from: Zhang M, Li T-H, Wang C-Q, Zeng N-K, Deng W-Q (2019) Phylogenetic overview of Aureoboletus (Boletaceae, Boletales), with descriptions of six new species from China. MycoKeys 61: 111-145. https://doi.org/10.3897/mycokeys.61.47520

Figure 2 Basidiomata of six new species and one new combination of Aureoboletus from China. A, BA. glutinosus (A GDGM44476 B GDGM44477, holotype) CA. griseorufescens (GDGM28490, holotype) D, EA. miniatoaurantiacus (D GDGM43439 E GDGM43282) F, GA. raphanaceus (F GDGM45911, holotype G GDGM52890) H, IA. sinobadius (H GDGM44732 IGDGM 71932, holotype) J, KA. solus (GDGM44759, holotype) LA. velutipes (L GDGM44713, holotype). Scale bars: 2 cm.

opencc-by-4.0Dec 2019View details →
zenodo28/100

Figure 3 from: Tennakoon DS, Thambugala KM, Jeewon R, Hongsanan S, Kuo C-H, Hyde KD (2019) Additions to Chaetothyriaceae (Chaetothyriales): Longihyalospora gen. nov. and Ceramothyrium longivolcaniforme, a new host record from decaying leaves of Ficus ampelas. MycoKeys 61: 91-109. https://doi.org/10.3897/mycokeys.61.47056

Figure 3 Longihyalospora ampeli (MFLU 19-0824, holotype). a Host leaf b appearance of colony (black spots) on leaf c ring of setae around the pellicle d mycelial pellicle with setae e mycelial pellicle cells f, g vertical section through ascoma h section of peridium i–m asci n–r ascospores s ascospore stained in Indian ink showing a mucilaginous sheath. Scale bars: 100 µm (c), 75 µm (d), 20 µm (e, f), 50 µm (g), 10 µm (h), 50 µm (i–m), 20 µm (n–s).

opencc-by-4.0Dec 2019View details →
zenodo28/100

Figure 1 from: Zhang M, Li T-H, Wang C-Q, Zeng N-K, Deng W-Q (2019) Phylogenetic overview of Aureoboletus (Boletaceae, Boletales), with descriptions of six new species from China. MycoKeys 61: 111-145. https://doi.org/10.3897/mycokeys.61.47520

Figure 1 Maximum likelihood tree from a RAXML search using the GTRGAMMA model, illustrating the phylogeny of Aureoboletus and related taxa in Boletales, based on a multilocus (nrLSU, tef1-a, rpb1 and rpb2) dataset. Phylloporus imbricatus N.K. Zeng, Zhu L. Yang & L.P. Tang and Xerocomus subtomentosus (L.) Quél. are chosen as outgroups. The lineages with new species and new combination are bold in the tree. Branches are labelled with maximum likelihood bootstrap higher than 70% and Bayesian posterior probabilities more than 0.95.

opencc-by-4.0Dec 2019View details →
zenodo28/100

Figure 10 from: Zhang M, Li T-H, Wang C-Q, Zeng N-K, Deng W-Q (2019) Phylogenetic overview of Aureoboletus (Boletaceae, Boletales), with descriptions of six new species from China. MycoKeys 61: 111-145. https://doi.org/10.3897/mycokeys.61.47520

Figure 10 Aureoboletus miniatoaurantiacus. A Basidiospores B Cheilocystidia C Pleurocystidia D Basidia and pleurocystidia E Pileipellis. Scale bars: 10 µm (A–D), 20 µm (E).

opencc-by-4.0Dec 2019View details →
zenodo28/100

Figure 2 from: Tennakoon DS, Thambugala KM, Jeewon R, Hongsanan S, Kuo C-H, Hyde KD (2019) Additions to Chaetothyriaceae (Chaetothyriales): Longihyalospora gen. nov. and Ceramothyrium longivolcaniforme, a new host record from decaying leaves of Ficus ampelas. MycoKeys 61: 91-109. https://doi.org/10.3897/mycokeys.61.47056

Figure 2 Ceramothyrium longivolcaniforme (MFLU19-0823, new host record). a, b Appearance of colony (black spots) on host leaf c mycelial pellicle d vertical section through ascoma e section of peridium f–i asci j–m ascospores n ascospore stained in Indian ink showing mucilaginous sheath o germinating ascospore p, q colony from above and below. Scale bars: 50 µm (d), 10 µm (e), 20 µm (f–i), 10 µm (j–o).

opencc-by-4.0Dec 2019View details →
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Figure 9 from: Zhang M, Li T-H, Wang C-Q, Zeng N-K, Deng W-Q (2019) Phylogenetic overview of Aureoboletus (Boletaceae, Boletales), with descriptions of six new species from China. MycoKeys 61: 111-145. https://doi.org/10.3897/mycokeys.61.47520

Figure 9 Aureoboletus velutipes. A Basidiospores B Pleurocystidia C Basidia and pleurocystidia D Pileipellis E Stipitipellis. Scale bars: 10 µm (A–C), 40 µm (D, E).

opencc-by-4.0Dec 2019View details →
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Figure 4 from: Loukanov A, Nikolova S, Filipov C, Nakabayashi S (2019) Nanomaterials for cancer medication: from individual nanoparticles toward nanomachines and nanorobots. Pharmacia 66(3): 147-156. https://doi.org/10.3897/pharmacia.66.e37739

Figure 4 (A) Schematic illustration on the fabrication and (B) electron microscopic image of doxorubicin@gold/mesoporous silica nanoparticles. The nanoparticles are prepared in dual surfactant system using classic fast self-assembling method containing both cationic and non-ionic surfactants. Scale bar: 50 nm.

opencc-by-4.0Dec 2019View details →
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Figure 3 from: Loukanov A, Nikolova S, Filipov C, Nakabayashi S (2019) Nanomaterials for cancer medication: from individual nanoparticles toward nanomachines and nanorobots. Pharmacia 66(3): 147-156. https://doi.org/10.3897/pharmacia.66.e37739

Figure 3 Electron microscopic images of gold nanoparticles with 5~10 nm diameter coated with (A) antibody IgG (Miao et al. 2018) and with (B) aptamer DNA (Loukanov et al. 2016a, b). Scale bar: 100 nm (A, B).

opencc-by-4.0Dec 2019View details →
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Figure 2 from: Li L, Qin M, Wang W-Y, Zeng S-J, Zhang G-Q, Liu Z-J (2019) The taxonomic identities of Pholidota wenshanica and P. subcalceata (Orchidaceae, Coelogyninae). PhytoKeys 136: 97-106. https://doi.org/10.3897/phytokeys.136.46705

Figure 2 The morphology of Pholidota leveilleana (A, C, E–H) and P. wenshanica (B, D, I–L) A–B habit C–D inflorescences E, I flower, frontal view F, J column and lip, lateral view G, K lip, ventral view H,L column, front view. Scale bars: 5 mm (E, I), 3 mm (F–H, J–L).

opencc-by-4.0Dec 2019View details →
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Figure 2 from: Loukanov A, Nikolova S, Filipov C, Nakabayashi S (2019) Nanomaterials for cancer medication: from individual nanoparticles toward nanomachines and nanorobots. Pharmacia 66(3): 147-156. https://doi.org/10.3897/pharmacia.66.e37739

Figure 2 Multilamellar liposome (A) or vesicles as self-assembled nano-drug carriers (B) of photosensitizer drugs for photodynamic therapy application. Scale bars: 5 µm (A, B).

opencc-by-4.0Dec 2019View details →
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Figure 1 from: Li L, Qin M, Wang W-Y, Zeng S-J, Zhang G-Q, Liu Z-J (2019) The taxonomic identities of Pholidota wenshanica and P. subcalceata (Orchidaceae, Coelogyninae). PhytoKeys 136: 97-106. https://doi.org/10.3897/phytokeys.136.46705

Figure 1 The types and selected specimens of P. wenshanica (A–C), Pholidota leveilleana (D–F) and P. subcalceata (G–I) A holotype sheet of P. wenshanicaB China, Guangxi, Longzhou, HK Kadoorie PT 714 (PE) C China, Yunnan, HK Kadoorie Team 2361 (PE) D holotype sheet of P. leveilleanaE China, Guangxi, China-UK Expedition Team ASBK365 (IBK) F China, Guangxi, Y.S. Huang Y1229 (IBK) G Holotype sheet of P. subcalceataH isotype sheet of P. subcalceataI Vietnam, Kontum, L.V. Averyanov & al., VH 292 (P).

opencc-by-4.0Dec 2019View details →
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Figure 1 from: Loukanov A, Nikolova S, Filipov C, Nakabayashi S (2019) Nanomaterials for cancer medication: from individual nanoparticles toward nanomachines and nanorobots. Pharmacia 66(3): 147-156. https://doi.org/10.3897/pharmacia.66.e37739

Figure 1 Overview of established nanoparticles for clinic use. (A) Various types nanoparticles used as nanocarrier platforms for cancer medication. (B) Timeline progress of the remarkable nano-medications in oncology.

opencc-by-4.0Dec 2019View details →
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Figure 6 from: Loukanov A, Nikolova S, Filipov C, Nakabayashi S (2019) Nanomaterials for cancer medication: from individual nanoparticles toward nanomachines and nanorobots. Pharmacia 66(3): 147-156. https://doi.org/10.3897/pharmacia.66.e37739

Figure 6 Light-powered nanomachine for inhibition of cancer cells. (A) TEM image and (B) schematic model of the nanomachine and principle of operation of the NIR-activated nanoconverter. The cancer cells are inhibited only in photodynamic regime of treatment. Scale bar: 10 nm.

opencc-by-4.0Dec 2019View details →
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Figure 5 from: Loukanov A, Nikolova S, Filipov C, Nakabayashi S (2019) Nanomaterials for cancer medication: from individual nanoparticles toward nanomachines and nanorobots. Pharmacia 66(3): 147-156. https://doi.org/10.3897/pharmacia.66.e37739

Figure 5 Transmission electron micrographs of nanoparticles chemically conjugated to peptides for cancer nanovaccination: (A) positive and (B) negative staining with uranyl acetate. Schematic illustration of the stained nanoparticles. Scale bar: 20 nm (A), 50 nm (B).

opencc-by-4.0Dec 2019View details →
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Supplementary material from: Melchior A (2019) Russia in world trade: Between globalism and regionalism. Russian Journal of Economics 5(4): 354-384. https://doi.org/10.32609/j.ruje.5.49345

: Data type: Table

opencc-zeroDec 2019View details →
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Supplementary material 2 from: Desvignes V, Buschhardt T, Guillier L, Sanaa M (2019) Quantitative microbial risk assessment for Salmonella in eggs. Food Modelling Journal 1: e39643. https://doi.org/10.3897/fmj.1.39643

Parameter settings

opencc-zeroDec 2019View details →
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Supplementary material 1 from: Desvignes V, Buschhardt T, Guillier L, Sanaa M (2019) Quantitative microbial risk assessment for Salmonella in eggs. Food Modelling Journal 1: e39643. https://doi.org/10.3897/fmj.1.39643

QMRA_Salmonella_egg_Virginie.fskx

opencc-zeroDec 2019View details →
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Figure 2 from: Cocquyt C, Lokele Ndjombo E, Tutu Tsamemba S, Nshimba Seya wa Malale H (2019) Freshwater diatoms in the Democratic Republic of the Congo: a historical overview of the research and publications. PhytoKeys 136: 107-125. https://doi.org/10.3897/phytokeys.136.47386

Figure 2 Pie diagram showing the relative abundance of the 21 genera (s.l.) to which the newly described species and infraspecific taxa from the DR Congo belong, Nitzschia being the most important, followed by Pinnularia and Navicula s.l.

opencc-by-4.0Dec 2019View details →
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Figure 3 from: Murray M, O'Donnell M, Laufersweiler MJ, Novak J, Rozum B, Thompson S (2019) A survey of the state of research data services in 35 U.S. academic libraries, or "Wow, what a sweeping question". Research Ideas and Outcomes 5: e48809. https://doi.org/10.3897/rio.5.e48809

Figure 3 Types of campus groups that provide RDS (n=103). Type codes are defined as follows: Admin: a campus administrative unit that does not fall into any other category; Center: research centers or institutes excluding HPC groups; Dept = Departments or colleges; HPC: High Performance Computing and research computing units including HPC run by IT units; Individuals: Individual staff, faculty, students, etc.; IT: Information Technology associated with the entire campus, colleges, or departments excluding HPC groups; Lab: Various labs on campus that do not fall into any other category; Research Office: Groups that oversee university research; Other: Groups that cannot be categorized under any other code.

opencc-by-4.0Jan 2020View details →
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Figure 2 from: Murray M, O'Donnell M, Laufersweiler MJ, Novak J, Rozum B, Thompson S (2019) A survey of the state of research data services in 35 U.S. academic libraries, or "Wow, what a sweeping question". Research Ideas and Outcomes 5: e48809. https://doi.org/10.3897/rio.5.e48809

Figure 2 Breakdown of the workshops or topics with a tool or programming language code applied (n=47). Only tool codes that have a frequency >1 are shown. Tool code names are self-explanatory (i.e. the name of tool).

opencc-by-4.0Jan 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.