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Fig. 2 in Morphogenesis and Molecular Characterization of a Little Known Soil Ciliate, Oxytricha nauplia Berger et Foissner, 1987 (Ciliophora, Sporadotrichida)
Fig. 2. Morphology of Oxytricha nauplia in vivo (A, D, E–J) and after protargol staining (B, C, K–N). (A) Ventral view of a representative individual. (B, C) Ventral (B) and dorsal (C) view of the same specimen, to show ciliature and nuclear apparatus. (D) Two different individuals to show that diversity of body shape depends on ingestion situation. (E–G) Ventral views of different individuals showing variation of body shapes. (H) Two macronuclear segments (arrowheads). (I) To show the bacterial plaques (arrowhead). (J) To show contractile vacuole and dorsal cilia (arrowheads). (K) Ventral view, to show the ciliature. (L) Dorsal view, to show the dorsal kineties, caudal cirri (arrowheads) and nuclear apparatus. (M) Magnification of the anterior ventral portion, showing the frontal, buccal, frontoventral cirri, paroral (arrowhead) and endoral membranlles. (N) Macronuclear segments and micronuclei (arrowheads). Ma, macronuclear segment. Scale bars = 45 μm.
Fig. 6 in Morphogenesis and Molecular Characterization of a Little Known Soil Ciliate, Oxytricha nauplia Berger et Foissner, 1987 (Ciliophora, Sporadotrichida)
Fig. 6. Maximum likelihood (ML) phylogenetic tree inferred from SSU rDNA sequences of 70 hypotrichs, and phylogenetic position of Oxytricha nauplia (red arrow). Black circle indicates four SSU rDNA sequences that include Uroleptopsis citrina (FJ870094), Nothoholosticha fasciola (FJ377548), Heterokeronopsis pulchra (JQ083600) and Anteholosticha monilata (KJ958488). Black triangle represents two SSU rDNA sequences that include Protogastrostyla sterkii (FJ870099) and Protogastrostyla pulchra (EF194082). Black square indicates two Trachelostylidae SSU rDNA sequences: Spirotrachelostyla tani (FJ870093) and Trachelostyla pediculiformis (DQ057346). Disagree- ment between ML and BI (*).
Fig. 5 in Morphogenesis and Molecular Characterization of a Little Known Soil Ciliate, Oxytricha nauplia Berger et Foissner, 1987 (Ciliophora, Sporadotrichida)
Fig. 5. Magnified photomicrographs of Oxytricha nauplia after protargol staining. (A) Ventral view of an early divider to show the three parts of oral primordium (arrowheads). (B) Ventral view of an early divider to show the cirrus IV/2 is disorganized and the basal bodies at the right of postoral ventral cirrus V/4 proliferated into a larger region (arrowhead). (C) Ventral view of an early middle divider, showing the frontoventral-transverse cirral anlage arisen. (D) Ventral view of a middle divider, showing the six streaks of the frontoventral–transverse cirral anlagen of proter. (E, F, G, H) Same specimen of a middle divider. (E) Ventral view of the anterior portion, showing unitized frontal–ventral–transverse cirri anlagen and the dorsomarginal kineties anlagen (arrowheads) in proter. (F) Ventral view of adoral zone of the opisthe, showing the frontal–ventral–transverse cirri of the opisthe. (G, H) Showing the fused macronucleus and the dividing micronuclei, arrowheads show the posterior fragmentation of the third dorsal kinety analge. (I) Another middle divider, arrowhead shows the anlage of cirrus I at the anterior end of undulating membranes anlagen. (J, K) The same specimen, showing the dividing of nuclear apparatus and ventral ciliature. Ma= macronuclear segments.
Identification and characterization of ATOH7-regulated target genes and pathways in human neuroretinal development
<p>The files presented here represent the original data collected during the study presented in the Cells (MDPI) publication "Identification and characterization of ATOH7-regulated target genes and pathways in human neuroretinal development" (<a href="https://doi.org/10.3390/cells13131142">https://doi.org/10.3390/cells13131142</a>). The data include:</p> <ul> <li>scRNA sequencing data (matrix, features and barcodes)</li> <li>RNA sequencing data (fastq)</li> <li>CUT&RUN sequencing data (raw data: fastq; coverage: bigWig)</li> <li>RNA sequencing alignments, with custom built reference (RNA_alignments)</li> </ul>
Fig.1 in Population Dynamics And Characterization Of Clostridium Macerans On Host Plant Of Flax
Fig.1. The AUDPC of Clostridium macerans as pathogen on the genotypes of flax during ontogenesis. abcd - AUDPC followed by the same letters in each column are not statistically significant by LSD0.05 (1.69).
Fig.2 in Population Dynamics And Characterization Of Clostridium Macerans On Host Plant Of Flax
Fig.2. Correlation coefficient between disease severity index of Clostridium macerans and sum of precipitation (mm). * − correlation significant at p≤0.05, ** − correlation significant at p≤0.01
Fig. 2 in Characterization Of Latvian Alfalfa Medicago Sativa Genetic Resources
Fig. 2. Histograms of flow cytometric analysis for alfalfa leaves: (A) tetraploid plant of accession Skrīveru and (B) diploid plant of accession Dzelmes.
Fig. 1 in M O L E C U L A R I D E N T I F I C A T I O N A N D Characterization Of Synanthedon Tipuliformis Clerck From Black Currant Fields
Fig. 1. Location of black currant plantations, where shoots damaged by S. typuliformis were collected.
FIGURE 6 in Occurrence and characterization of insect galls in the Floresta Nacional de Silvânia, Brazil
FIGURE 6: Insect galls of Flona-Silvânia, Goiás, Brazil. (A) Gall 175), (B) Siparuna guianensis Aubl. (Gall 176), (C) S. guianensis (Gall 178), (D) S. guianensis (Gall 179), (E) Styrax ferrugineus Nees and Mart. (Gall 181), (F) S. ferrugineus (Gall 182), (G) Qualea grandiflora Mart. (Gall 184), (H) Q. grandiflora (Gall 185).
FIGURE 4 in Occurrence and characterization of insect galls in the Floresta Nacional de Silvânia, Brazil
FIGURE 4: Insect galls of Flona-Silvânia, Goiás, Brazil. (A) Copaifera langsdorffii Desf. (Gall 90), (B) C. langsdorffii (Gall 91), (C) C. langsdorffii (Gall 92), (D) Inga sp. (Gall 94), (E) Lamiaceae sp. (Gall 96), (F) Lauraceae sp. (Gall 97), (G) Nectandra sp. (Gall 99), (H) Strychnos pseudoquina A. St.-Hil. (Gall 100), (I) Diplusodon sp. (Gall 101), (J) Byrsonima verbascifolia (L.) DC. (Gall 102), (K) B. verbascifolia (Gall 103), (L) B. verbascifolia (Gall 105), (M) B. verbascifolia (Gall 106), (N) Peixotoa goiana C.E. Anderson (Gall 107), (O) P. goyana (Gall 108), (P) Malvaceae sp. (Gall 110), (Q) Melastomataceae sp. (Gall 113), (R) Guarea sp. (Gall 114), (S) Meliaceae sp. (Gall 115), (T) Eugenia bimarginata DC. (Gall 118), (U) Myrtaceae sp. (Gall 120), (V) Myrtaceae sp. (Gall 122), (W) Myrtaceae sp. (Gall 123), (X) Myrtaceae sp. (Gall 124).
FIGURE 3 in Occurrence and characterization of insect galls in the Floresta Nacional de Silvânia, Brazil
FIGURE 3: Insect galls of Flona-Silvânia, Goiás, Brazil. (A) Kielmeyera sp. (Gall 60), (B) Connarus suberosus Planch. (Gall 62), (C) Davilla elliptica A. St.-Hil. (Gall 63), (D) D. elliptica (Gall 64), (E) D. elliptica (Gall 65), (F) Dilleniaceae sp. (Gall 67), (G) Dilleniaceae sp. (Gall 68), (H) Doliocarpus sp. (Gall 69), (I) Diospyros sp. (Gall 70), (J) Erythroxylum sp. (Gall 72), (K) Erythroxylum suberosum A. St.-Hil. (Gall 74), (L) E. suberosum (Gall 75), (M) Manihot sp. (Gall 76), (N) Andira paniculata Benth. (Gall 77), (O) A. paniculata (Gall 78), (P) Bauhinia rufa (Bong.) Steud. (Gall 79), (Q) B. rufa (Gall 80), (R) B. rufa (Gall 81), (S) B. rufa (Gall 82), (T) B. rufa (Gall 83), (U) B. rufa (Gall 84), (V) B. rufa (Gall 85), (W) B. rufa (Gall 86), (X) Bauhinia sp. (Gall 87).
FIGURE 1 in Occurrence and characterization of insect galls in the Floresta Nacional de Silvânia, Brazil
FIGURE 1: Location and characterization of the study area. (A) Location of the Flona-Silvânia (marked by the star) in the city of Silvânia, State of Goiás, Midwest of Brazil. (B) Map of the Flona-Silvânia showing the areas of savanna (clear areas) and forest (dark areas).
FIGURE 2 in Occurrence and characterization of insect galls in the Floresta Nacional de Silvânia, Brazil
FIGURE 2: Insect galls of Flona-Silvânia, Goiás, Brazil. (A) Acanthaceae sp. (Gall 1), (B) Anacardiaceae sp. (Gall 5), (C) Lithraea molleoides
FIGURE 5 in Occurrence and characterization of insect galls in the Floresta Nacional de Silvânia, Brazil
FIGURE 5: Insect galls of Flona-Silvânia, Goiás, Brazil. (A) Myrtaceae sp. (Gall 125), (B) Myrtaceae sp. (Gall 126), (C) Myrtaceae sp. (Gall 127), (D) Ouratea hexasperma (A. St.-Hil.) Baill. (Gall 132), (E) Ouratea sp. (Gall 133), (F) Piper arboreum Aubl. (Gall 134), (G) Roupala montana Aubl. (Gall 135), (H) Roupala sp. (Gall 137), (I) Roupala sp. (Gall 139), (J) Cordiera macrophylla (K. Schum.) Kuntze (Gall 140), (K) Palicourea rigida Kunth (Gall 141), (L) Rubiaceae sp. (Gall 143), (M) Rubiaceae sp. (Gall 146), (N) Rubiaceae sp. (Gall 149), (O) Sapindaceae sp. (Gall 155), (P) Serjania sp. (Gall 161), (Q) Serjania sp. (Gall 164), (R) Serjania sp. (Gall 165), (S) Serjania sp. (Gall 166), (T) Serjania sp. (Gall 167), (U) Siparuna guianensis Aubl. (Gall 170), (V) S. guianensis Gall 171), (W) S. guianensis (Gall 173), (X) S. guianensis (Gall 174).
Figure 2 in Genetic characterization of sharpsnout seabream (Diplodus puntazzo) populations along the Tunisian coasts
Figure 2. – Neighbour Joining (NJ) dendrogram drawn using the Nei and Li genetic distance matrix based on ISSR marker data.
Figure 2 in FlorAl biometrics And phenologicAl chArActeriZAtion of flowering And fruiting of the passion fruit PAssiflorA TrinTAE in southwestern BAhiA, BrAZil
Figure 2. Illustration of Passiflora trintae showing the floral parts. A. Sepal and petal; B. Lateral view of flower. C. Apical view of flower. Bar = 1 cm.
Figure 4 in FlorAl biometrics And phenologicAl chArActeriZAtion of flowering And fruiting of the passion fruit PAssiflorA TrinTAE in southwestern BAhiA, BrAZil
Figure 4. Average, maximum, and minimum temperature and precipitation from June 2012 to May 2013, in Vitória da Conquista, Bahia, Brazil (INMET 2013). The bars represent precipitation data, and the lines represent temperature data.
FIGURE 4 in Partial characterization of digestive proteases in juveniles of Microphis brachyurus (short-tailed pipefish) (Syngnathiformes: Syngnathidae)
FIGURE 4 | SDS-PAGE zymogram of alkaline digestive proteases of short-tailed pipefish (Microphis brachyurus) juveniles: Molecular weight marker (MWM), rabbit phosphorylase B (97.4 kDa), bovine serum albumin (66.2 kDa), ovalbumin (42.7 kDa), carbon anhydrase (31.0 kDa) and lysozyme (14.4 kDa); control (without inhibitor); inhibitors were the same as in Fig. 3.
FIGURE 3 in Partial characterization of digestive proteases in juveniles of Microphis brachyurus (short-tailed pipefish) (Syngnathiformes: Syngnathidae)
FIGURE 3 | Residual activity (%) of digestive proteases using several inhibitors on multienzyme extracts of short-tailed pipefish (Microphis brachyurus) juveniles. Alkaline proteases with no inhibitor (Alk control), tosylphenylanylchloromethyl ketone (TPCK), phenanthroline (PHEN), ethyl-diamine tetra-acetic acid (EDTA), tosyllysyl- chloromethyl ketone (TLCK), ovalbumin (OVO), soybean trypsin inhibitor (SBT1), phenyl methyl sulphonyl fluoride (PMSF), acidic proteases with no inhibitor (Acid control), pepstatin A (mean ± SD, n = 3). Columns with different letters represent significant differences (p <0.05).
Fig. 1 in Characterization of the ovary fatty acids composition of Rhamdia quelen (Quoy & Gaimard) (Teleostei: Siluriformes), throughout their reproductive cycle
Fig. 1. Adult Rhamdia quelen sampling points location in the upper rio Uruguay. Geographical location of the points: rio Pelotinhas (PH: 28º09'41.1"S 50º26'34.3"W), mouth of rio Pelotinhas with rio Pelotas (MP: 28º30.0'32.1" S 50º56'40.9'' W), rio Pelotas BP: 28º12.0'49.7''S 50º45.0'22.6''W) and rio Vacas Gordas (VG: 28º1.0'15.5''S 46º57'1.0''W).
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.