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Figure 2 from: Hershler R, Liu H-P, Hubbart N (2017) Two new species of Fluminicola (Caenogastropoda, Lithoglyphidae) from southwest Oregon, USA, and a range extension for F. multifarius. ZooKeys 679: 1-20. https://doi.org/10.3897/zookeys.679.13472
Figure 2 - Map of southwest Oregon and northwest California showing the distribution of mtDNA clades A–C with color codes matching those in Fig. 1. Specimen codes are from Suppl. material 1.
Figure 6 from: Hershler R, Liu H-P, Hubbart N (2017) Two new species of Fluminicola (Caenogastropoda, Lithoglyphidae) from southwest Oregon, USA, and a range extension for F. multifarius. ZooKeys 679: 1-20. https://doi.org/10.3897/zookeys.679.13472
Figure 6 - Shells, opercula and radula, F. umpquaensis, sp. n. A Holotype, USNM 1144535 B Shell, USNM 1144736 C Shell, USNM 1144371 D, E Opercula (outer, inner sides), USNM 114535 F Portion of radular ribbon, USNM 1422224 G Central teeth, USNM 1422224 H Lateral teeth, USNM 1422224. Scale bars: A–E, 1.0 mm; F, 100 µm; G–H, 10 µm.
Figure 1 from: Hershler R, Liu H-P, Hubbart N (2017) Two new species of Fluminicola (Caenogastropoda, Lithoglyphidae) from southwest Oregon, USA, and a range extension for F. multifarius. ZooKeys 679: 1-20. https://doi.org/10.3897/zookeys.679.13472
Figure 1 - Bayesian tree based on the COI dataset. The three clades (A–C) containing Rogue-Umpqua haplotypes are color coded as in Figure 2. Posterior probabilities for nodes are shown when >95%. Specimen codes are from Suppl. material 1; Rogue-Umpqua haplotype codes (in parentheses) are from Suppl. material 2.
Figure 1 from: Vanderhoeven S, Adriaens T, Desmet P, Strubbe D, Backeljau T, Barbier Y, Brosens D, Cigar J, Coupremanne M, De Troch R, Eggermont H, Heughebaert A, Hostens K, Huybrechts P, Jacquemart A, Lens L, Monty A, Paquet J, Prévot C, Robertson T, Termonia P, Van De Kerchove R, Van Hoey G, Van Schaeybroeck B, Vercayie D, Verleye T, Welby S, Groom Q (2017) Tracking Invasive Alien Species (TrIAS): Building a data-driven framework to inform policy. Research Ideas and Outcomes 3: e13414. https://doi.org/10.3897/rio.3.e13414
Figure 1 - A visual description of the TrIAS workflow through work packages. Work package 1 generates the input data; Work package 2 creates indicators and summaries of the data; Work package 3 uses the data and generates models and predications of future distributions; Work package 4 involves experts using the information from the other work packages, together with their own experience to create impact assessments.
Figure 3 from: Bethlehem R, Falkiewicz M, Freyberg J, Parsons O, Farahibozorg S, Pretzsch C, Soergel B, Margulies D (2017) Gradients of cortical hierarchy in Autism. Research Ideas and Outcomes 3: e13391. https://doi.org/10.3897/rio.3.e13391
Figure 3 - Average z-scores obtained from unthresholded reverse-inference neurosynth meta-analysis activation maps. We divided the principle gradient into percentiles and used this to create a mask. We then calculated the average z-score inside this mask on neurosynth maps.
Figure 2 from: Bethlehem R, Falkiewicz M, Freyberg J, Parsons O, Farahibozorg S, Pretzsch C, Soergel B, Margulies D (2017) Gradients of cortical hierarchy in Autism. Research Ideas and Outcomes 3: e13391. https://doi.org/10.3897/rio.3.e13391
Figure 2 - Goodness of fit for principal gradient. Ranked according to the median goodness of fit for both groups.
Figure 1 from: Bethlehem R, Falkiewicz M, Freyberg J, Parsons O, Farahibozorg S, Pretzsch C, Soergel B, Margulies D (2017) Gradients of cortical hierarchy in Autism. Research Ideas and Outcomes 3: e13391. https://doi.org/10.3897/rio.3.e13391
Figure 1 - Linear fit of gradient slopes for the top 10 gradients for each group (1 == neurotypical individuals; 2 == individuals with autism).
Figure 9 from: Vyshedskiy A, Dunn R, Piryatinsky I (2017) Neurobiological mechanisms for nonverbal IQ tests: implications for instruction of nonverbal children with autism. Research Ideas and Outcomes 3: e13239. https://doi.org/10.3897/rio.3.e13239
Figure 9 - Graphical representation of neurobiological requirements for Standard Raven's Progressive Matrices questions. The NOB score (bottom) and the PCT score (top) as a function of question number. The five sets of 12 questions are shown with different markers.
Figure 8 from: Vyshedskiy A, Dunn R, Piryatinsky I (2017) Neurobiological mechanisms for nonverbal IQ tests: implications for instruction of nonverbal children with autism. Research Ideas and Outcomes 3: e13239. https://doi.org/10.3897/rio.3.e13239
Figure 8 - Graphical representation of neurobiological requirements for TONI-4, Form B. The NOB score (bottom) and the PCT score (top) as a function of question number.
Figure 7 from: Vyshedskiy A, Dunn R, Piryatinsky I (2017) Neurobiological mechanisms for nonverbal IQ tests: implications for instruction of nonverbal children with autism. Research Ideas and Outcomes 3: e13239. https://doi.org/10.3897/rio.3.e13239
Figure 7 - Graphical representation of neurobiological requirements for TONI-4, Form A. The minimal number of objects involved in mental calculations (the NOB score, bottom) and the minimal amount of posterior cortex territory required (the PCT score, top) as a function of question number.
Figure 5c from: Vyshedskiy A, Dunn R, Piryatinsky I (2017) Neurobiological mechanisms for nonverbal IQ tests: implications for instruction of nonverbal children with autism. Research Ideas and Outcomes 3: e13239. https://doi.org/10.3897/rio.3.e13239
Figure 5c - shows a question in which mental synthesis of two objects has to be conducted according to the following rule specified in the top row: "the object in the middle column goes on top of the object in the left column" (the solution in the second square).
Figure 1 from: Vyshedskiy A, Dunn R, Piryatinsky I (2017) Neurobiological mechanisms for nonverbal IQ tests: implications for instruction of nonverbal children with autism. Research Ideas and Outcomes 3: e13239. https://doi.org/10.3897/rio.3.e13239
Figure 1 - Visual information processing in the cortex. From the primary visual cortex (V1, shown in yellow), the visual information is passed in two streams. The neurons along the ventral stream also known as the ventral visual cortex (shown in purple) are primarily concerned with what the object is. The ventral visual stream runs into the inferior temporal lobe. The neurons along the dorsal stream also known the dorsal visual cortex (shown in green) are primarily concerned with where the object is. The dorsal visual stream runs into the parietal lobe.
Figure 2b from: Vyshedskiy A, Dunn R, Piryatinsky I (2017) Neurobiological mechanisms for nonverbal IQ tests: implications for instruction of nonverbal children with autism. Research Ideas and Outcomes 3: e13239. https://doi.org/10.3897/rio.3.e13239
Figure 2b - A more complicated object, where the top row of the matrix indicates the rule: "the object in the right column is the same as the object in the left column" (the 6th square). The "Find the same object" questions were assigned the NOB score of one and the PCT score of zero. Note: since all three IQ tests investigated in this report are copyrighted, the examples presented are not actual items from a test but are representative of a typical question.
Figure 5a from: Vyshedskiy A, Dunn R, Piryatinsky I (2017) Neurobiological mechanisms for nonverbal IQ tests: implications for instruction of nonverbal children with autism. Research Ideas and Outcomes 3: e13239. https://doi.org/10.3897/rio.3.e13239
Figure 5a - requires the combination of two objects. The top two rows of the matrix indicate the rule: "the object in the right column is the result of the combination of the two objects shown in the left and middle row" (the solution in the 5th square).
Figure 3c from: Vyshedskiy A, Dunn R, Piryatinsky I (2017) Neurobiological mechanisms for nonverbal IQ tests: implications for instruction of nonverbal children with autism. Research Ideas and Outcomes 3: e13239. https://doi.org/10.3897/rio.3.e13239
Figure 3c - Integration of number modifier. The top two rows of the matrix indicate the rule: "the object in the right column is the result of combining number indicated in the column and the object indicated in the row" (solution: the three squares in the fifth cell). Since integration of modifiers involves modification of neurons encoding a single object, this type of questions was assigned the NOB score of one. Integration of size and color modifier questions were assigned a PCT score of one since modification is limited to the ventral visual cortex (Gabay et al. 2016). Integration of number modifier questions were assigned a score of two since the numerical information is represented by regions of the posterior parietal lobes (Dehaene et al. 2004, Nieder and Dehaene 2009).
Figure 2 from: Lanna LL, de Azevedo CS, Claudino RM, Oliveira R, Antonini Y (2017) Feeding behavior by hummingbirds (Aves: Trochilidae) in artificial food patches in an Atlantic Forest remnant in southeastern Brazil. Zoologia 34: 1-9. https://doi.org/10.3897/zoologia.34.e13228
Figure 2 - Positive correlation between the time spent feeding and the exhibition of aggressive behaviors by the hummingbirds. For this analysis, we included the time spent feeding by all hummingbird species in all sugar concentrations, and we summed the aggressive behaviors "expelling", "fighting", "frightening", "expel attempt", "alert" and "vocalizing".
Figure 1 from: Lanna LL, de Azevedo CS, Claudino RM, Oliveira R, Antonini Y (2017) Feeding behavior by hummingbirds (Aves: Trochilidae) in artificial food patches in an Atlantic Forest remnant in southeastern Brazil. Zoologia 34: 1-9. https://doi.org/10.3897/zoologia.34.e13228
Figure 1 - Sugar concentrations most visited by the recorded hummingbird species based on time spent foraging (mean duration of time spent foraging ± SD). Different letters represents statistical differences between sugar solutions as per the results of Dunn's post hoc tests (P-value < 0.05).
Figure 1 from: Jay C, Haines R, Vigo M, Matentzoglu N, Stevens R, Boyle J, Davies A, Del Vescovo C, Gruel N, Le Blanc A, Mawdsley D, Mellor D, Mikroyannidi E, Rollins R, Rowley A, Vega J (2017) Identifying the challenges of code/theory translation: report from the Code/Theory 2017 workshop. Research Ideas and Outcomes 3: e13236. https://doi.org/10.3897/rio.3.e13236
Figure 1 - In many areas of research, science is now produced at the intersection of the 'software', contributed by programmers, and the 'story', or theoretical narrative, contributed by domain experts. In team-based research, everyone is a scientist.
Figures 3-6 from: Lanna LL, de Azevedo CS, Claudino RM, Oliveira R, Antonini Y (2017) Feeding behavior by hummingbirds (Aves: Trochilidae) in artificial food patches in an Atlantic Forest remnant in southeastern Brazil. Zoologia 34: 1-9. https://doi.org/10.3897/zoologia.34.e13228
Figures 3-6 - Positive correlation between size (cm) and the exhibition of aggressive (3) and submissive (4) behaviors by the hummingbirds. Positive correlation between weight (g) and the exhibition of aggressive (5) and submissive (6) behaviors by the hummingbirds. For both analysis, we included aggressive and submissive behaviors exhibited by all hummingbird species in all sugar concentrations, and we summed the aggressive behaviors "expelling", "fighting", "frightening", "expel attempt", "alert" and "vocalizing", and the submissive behaviors "fleeing" and "frightened".
Figure 2a from: Vyshedskiy A, Dunn R, Piryatinsky I (2017) Neurobiological mechanisms for nonverbal IQ tests: implications for instruction of nonverbal children with autism. Research Ideas and Outcomes 3: e13239. https://doi.org/10.3897/rio.3.e13239
Figure 2a - A typical 2x2 matrix commonly used in an IQ test, with six answer choices displayed below the problem. The top row of the matrix indicates the rule: "the object in the right column is the same as the object in the left column." Applying this rule to the bottom row, we arrive at the correct answer: the white rhombus.
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.