Find research datasets worth reusing

opencc-by-4.0Apr 2018View details →

Auditory stream segregation and selective attention for cochlear implant listeners: Evidence from behavioral measures and event-related potentials

Data set generated for the study "Auditory stream segregation and selective attention for cochlear implant listeners: Evidence from behavioral measures and event-related potentials"  <ol> <li>behavioral.txt: d' scores obtained by the listeners on the deviant detection task. <ul> <li>subject: listener ID</li> <li>distractor: Electrode separation condition</li> <li>deviant: Deviant triplet</li> <li>d: d' scores</li> <li>exp: experimental session (BEH / ERP)</li> </ul> </li> <li>ERP_by_condition.txt: <ul> <li>Subject: listener ID</li> <li>Type: Sound type (Target / Distractor)</li> <li>Dev: Deviant condition. Early = deviant triplets 1 or 2. Late = deviant triplet 3 or none.</li> <li>rep: Triplet number</li> <li>sound: sound number within the triplet</li> <li>amplitude: amplitude difference between the active and the passive listening conditions.</li> </ul> </li> </ol>

opencc-by-4.0Feb 2019View details →

Density Functional Theory Calculations of Segregation Tendency of Cu and Zn in Al3Zr Dispersoid Particles

The .zip archive contains data related to DFT calculations published in the paper: Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy A.M. Cassell, J. D. Robson, C. P. Race, A. Eggeman, T. Hashimoto, M. Besel. Submitted to Acta Materialia. Archive contains a set of .txt files, each of which contains the total energies of a series of simulations along with several other output fields and descriptive fields. The Archive also contains a .ipynb Jupyter (Python) Notebook, which contains descriptions of the .txt files, the code required to import them and the analysis required to produce the figure in the published paper.

opencc-by-4.0Jun 2019View details →

Data Supporting The role of dopant segregation on the oxygen vacancy distribution and oxygen diffusion in CeO2 grain boundaries

Data supporting the article "The role of dopant segregation on the oxygen vacancy distribution and oxygen diffusion in CeO2 grain boundaries, accepted for publication in the Journal of Physics: Energy (<a href="https://doi.org/10.1088/2515-7655/ab28b5">doi.org/10.1088/2515-7655/ab28b5</a>). Data includes inputs for molecular dynamics simulations using the DL_POLY classic code.Simulations can be rerun from the inputs provide.  Input data required for the generation of the grain boundary structures is included and uses the METADISE code.

opencc-by-4.0Sep 2019View details →

Bead tracking experimental ground truth for studying size segregation in bedload sediment transport

Video sequences to study size segregation in bedload transport were recorded. Experiments consisted in mixtures of two-size spherical glass beads entrained by a turbulent supercritical free surface water flow over a mobile bed. The aim is to track all beads over time to obtain trajectories, particle velocities and concentrations, for studying bedload granular rheology, size segregation and associated morphology. This upload consists in : <ul> <li>a 1000-frame experimental image sequence recorded at 130 fps with approximately 400 beads per frame (about 300 coarse and 100 small beads). The image resolution is 1280x320;</li> <li>the ground truth in the directory \result . It was obtained based on a tracking algorithm with subsequent expert modification. The tracking algorithm was developed by H. Lafaye de Micheaux et al. The code implementing the tracking algorithm is available on <a href="https://github.com/hugolafaye/BeadTracking">https://github.com/hugolafaye/BeadTracking</a>. The ground truth is a '.mat' file containing in particular the variable 'trackData' being a cell array of tracking matrices. There is one tracking matrix for each image of the sequence. Complete information on data format is given in the file readme.txt in the github BeadTracking package.</li> <li>In addition it contains three files allowing the user to run the BeadTracking package specifically on the experimental sequence : <ul> <li>sequence_param.txt : parameter file</li> <li>sequence_base_mask.tif : to remove the base</li> <li>template_transparent_bead_rOut10_rIn6.mat : a template for bead detection</li> </ul> </li> </ul>

opencc-by-4.0Oct 2019View details →

Experiments on Grain Size Segregation in Bedload Transport on a steep Slope

This dataset is the basis of the publication: Frey, P., Lafaye de Micheaux, H., Bel, C., Maurin, R., Rorsman, K., Martin, T., Ducottet, C., 2020. Experiments on grain size segregation in bedload transport on a steep slope. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2019.103478. Experiments consisted in bedload of two-size spherical glass beads transported at equilibrium by a turbulent supercritical free surface water flow over a mobile bed. Two runs, one with a low rate of large black beads (S6), the other with a higher rate (S20), are considered. This dataset consists in: - temporal sequences of uncompressed tif images  corresponding to figure 5 showing small particle concentration : 9 sequences for run S6 (BillesBaumerMicro) and 9 sequences for run S20 (BillesbaumerAmontSequence) - two ‘.mat’ file corresponding to runs S6 (trackData_Micro_S6.mat) and S20 (trackData_Amont_S20.mat)  giving all the trajectories of all beads. Trajectories were obtained with a tracking algorithm developed by H. Lafaye de Micheaux et al. (2016,2018) building on Hergault et al. (2010). The code implementing the tracking algorithm is available on <a href="https://github.com/hugolafaye/BeadTracking">https://github.com/hugolafaye/BeadTracking</a>. The files contain the variable 'trackData' being a cell array of tracking matrices. There is one tracking matrix for each image of the sequence giving in particular the coordinate and velocity of each bead. Complete information on data format is given in the file readme.txt in the github BeadTracking package. Parameter files necessary to replicate our results from the images are also available on the BeadTracking package as well as on <a href="https://doi.org/10.5281/zenodo.3454628">https://doi.org/10.5281/zenodo.3454628</a> where a 1000-image ground truth is stored. Important note: Experimental images were grabbed with the flow from right to the left implying for instance negative values for the x-coordinate of velocities. To comply with a traditional convention, images and associated results in the publication are shown from left to the right.

opencc-by-4.0Sep 2023View details →

Figure 2 in Spatial segregation between the native Tropical mockingbird and the invader Chalk-browed mockingbird (Passeriformes: Mimidae) along a Neotropical natural-urban gradient

Figure 2. Abundance (Punctual Abundance Index) of Tropical mockingbird (Mimus gilvus, closed circle and continuous line) and Chalk-browed mockingbird (M. saturninus, open circle and dashed line) regarding urbanization index (Normalized Difference Built-up Index) in a coastal region of southeastern Brazil. Urbanization increases toward a higher urbanization index.

opencc-by-4.0Sep 2023View details →

Figure 1 in Spatial segregation between the native Tropical mockingbird and the invader Chalk-browed mockingbird (Passeriformes: Mimidae) along a Neotropical natural-urban gradient

Figure 1. Sampling design (transects) in the municipalities of Vila Velha and Guarapari, state of Espírito Santo, southeastern Brazil.

opencc-by-4.0Aug 2024View details →

A clinical exome study on a family segregating pontocerebellar hyploplasia

Pontocerebellar hypoplasia type 2D (PCH2D) is caused by mutations in the SEPSECS gene (chr. 4p15.2), encoding O-Phosphoseryl-tRNA:selenocysteinyl-tRNA synthase. This is a key enzyme in the biosynthesis of selenoproteins, which act in maintaining antioxidant systems. . We describe a novel patient with compound heterozygosity in the SEPSECS gene including a novel missense variant.  This study broadens the genetic background and associated PCH2D phenotype, supporting the causal link with mitochondrial disorders in selenoproteins biosynthesis deficiency   22M1764  vcf files are related to the proband 22M1764M vcf  files are related to his mother 22M1764P files are related to his father   The proband suffers with pontocerebellar hyplosia while his parents are healthy

Fig. 2b in Tick abundance and life-stage segregation on the American black bear (Ursus americanus)

Fig. 2b. Diagram of tick segregation on American black bears, based on 17 body regions surveyed on black bears from June 2018–December 2019 in Pennsylvania, USA. Darker colors indicate higher percentages of adult ticks and lower percentages of immature ticks observed and lighter colors indicate lower percentages of adult ticks and higher percentages of immature ticks observed; based on percentages of adult ticks out of all ticks recorded in that body region (table). Percentages based on bears that had at least one tick recorded in the surveyed body locations. Body region descriptors- A: ear; B: cheek; C: neck; D: upper spine; E: lower spine; F: chest; G: front outer leg; H: front inner leg; I: front axillary region; J: front inner toes; K: stomach; L: hip; M: hind outer leg; N: hind inner leg; O: hind axillary region; P: hind inner toes; Q: muzzle. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 3 in Tick abundance and life-stage segregation on the American black bear (Ursus americanus)

Fig. 3. Photograph of a bear with severe sarcoptic mange. Note the high loss of fur and thickened skin on the ears, face, and along the sides of the body and higher amounts of fur remaining along the spine and lower limbs. This pattern of hair loss and thickened crusting skin is typical for bears with moderate to severe cases of sarcoptic mange in Pennsylvania, with mild cases also frequently exhibiting higher hair loss and clinical signs of sarcoptic mange on the face and front regions of the body.

Fig. 2a in Tick abundance and life-stage segregation on the American black bear (Ursus americanus)

Fig. 2a. Diagram of tick abundance on American black bears, based on 17 body regions surveyed on black bears from June 2018–December 2019 in Pennsylvania, USA. Figure colors based on percentage of observed tick presence out of all observations of that body region (table), to represent where ticks were most frequently observed within the body regions surveyed. Darker colors indicate higher percentages of observations when ticks were present and lighter colors indicate lower percentages of observations that had ticks present in that body region. Body location descriptors- A: ear; B: cheek; C: neck; D: upper spine; E: lower spine; F: chest; G: front outer leg; H: front inner leg; I: front axillary region; J: front inner toes; K: stomach; L: hip; M: hind outer leg; N: hind inner leg; O: hind axillary region; P: hind inner toes; Q: muzzle. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 1 in Tick abundance and life-stage segregation on the American black bear (Ursus americanus)

Fig. 1. Map of capture locations for bears surveyed for tick burden in Pennsylvania from June 2018–December 2019.

opencc-by-4.0Nov 2018View details →

Fig. 2 in The importance of considering small-scale variability in macrobenthic distribution: spatial segregation between two fiddler crab species (genus Leptuca) (Decapoda, Ocypodidae)

Fig. 2. NMDS ordination (stress = 0.16) of sites based on similarity of group composition. Leptuca leptodactyla (Rathbun in Rankin, 1898): JLM (juvenile males), JLF (juvenile females), ALM (adult males) and ALF (adult females). Leptuca uruguayensis (Nobili, 1901): JUM (juvenile males), JUF (juvenile females), AUM (adult males) and AUF (adult females).

opencc-by-4.0Nov 2018View details →

Fig. 1 in The importance of considering small-scale variability in macrobenthic distribution: spatial segregation between two fiddler crab species (genus Leptuca) (Decapoda, Ocypodidae)

Fig. 1. Schematic representation of the sampling design, with subarea separation and the six random replicates. (Area=10 m²).

FIGURE 5 in Morphological divergences as drivers of diet segregation between two sympatric species of Serrapinnus (Characidae: Cheirodontinae) in macrophyte stands in a neotropical floodplain lake

FIGURE 5 | Graph of Spearman's correlation coefficient calculated between the morphological traits indicated by CVA and main food items consumed by Serrapinnus notomelas and Serrapinnus sp.1 in a lake in the upper Paraná River floodplain, Brazil. Values of r and p indicate the correlation and statistical significance, respectively. Positive correlations are represented by blue color and negative correlations by red color. ALG – algae; ZOO – zooplankton; DI – Depression index; CI – Compression index; RLPd – Relative lenght of caudal peduncule; RHPd – Relative height of caudal peduncule; RWPd – Relative width of caudal peduncule; RAD – Relative area of dorsal fin; ARC – Aspect ratio of caudal fin; ARA – Aspect ratio of anal fin; ARPt – Aspect ratio of pectoral fin; ARPv – Aspect ratio of pelvic fin; RLHd – Relative length of head; RHHd – Relative height of head; RWHd – Relative width of head; RHM – Relative height of mouth; RWM – Relative width of mouth; EP – Relative position of eye; MT – multicuspid teeth; PT – pentacuspid teeth; ICO – Intestinal coefficient; GRL – Gill raker length.

FIGURE 4 in Morphological divergences as drivers of diet segregation between two sympatric species of Serrapinnus (Characidae: Cheirodontinae) in macrophyte stands in a neotropical floodplain lake

FIGURE 4 | Canonical variate analysis illustrating differences in morphological traits for the Serrapinnus notomelas and Serrapinnus sp.1 in a lake in the upper Paraná River floodplain, Brazil. CI – Compression index; DI – Depression index; RLPd – Relative lenght of caudal peduncule; RHPd – Relative height of caudal peduncule; RWPd –Relative width of caudal peduncule; RAD – Relative area of dorsal fin; ARC – Aspect ratio of caudal fin; ARA – Aspect ratio of anal fin; ARPt – Aspect ratio of pectoral fin; ARPv – Aspect ratio of pelvic fin; RLHd – Relative length of head; RHHd – Relative height of head; RWHd – Relative width of head; RHM – Relative height of mouth; RWM – Relative width of mouth; EP – Relative position of eye; MT – multicuspid teeth; PT – pentacuspid teeth; ICO – Intestinal coefficient; GRL – Gill raker length.

FIGURE 2 in Morphological divergences as drivers of diet segregation between two sympatric species of Serrapinnus (Characidae: Cheirodontinae) in macrophyte stands in a neotropical floodplain lake

FIGURE 2 | Number of individuals from Serrapinnus notomelas and Serrapinnus sp.1 sampled concerning precipitation (mm) between October/2010 and March/2012 in a lake in the upper Paraná River floodplain, Brazil. SnA = S. notomelas Adult; SnJ = S. notomelas juvenile; Sp1A = Serrapinnus sp.1 adult; Sp1J = Serrapinnus sp.1 juvenile.

FIGURE 3 in Morphological divergences as drivers of diet segregation between two sympatric species of Serrapinnus (Characidae: Cheirodontinae) in macrophyte stands in a neotropical floodplain lake

FIGURE 3 | Variation in the diet breadth of Serrapinnus notomelas and Serrapinnus sp.1 using PERMDISP, for the juveniles and adults in a lake in the upper Paraná River floodplain, Brazil. Boxes represent the 25th and 75th quartiles and demonstrate the individual variation of the trophic niche. The horizontal bars in each box represent the average niche breadth. Whiskers indicate the range and individual symbols indicate outliers. J=juveniles; A= adults.

FIGURE 1 in Morphological divergences as drivers of diet segregation between two sympatric species of Serrapinnus (Characidae: Cheirodontinae) in macrophyte stands in a neotropical floodplain lake

FIGURE 1 | Study area: location of sampling site in the upper Paraná River floodplain, Mato Grosso do Sul State, Brazil.