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2,516 results for “Seri”
Fig. 5 in A phylogenetic investigation of the taxonomically problematic Eucalyptus odorata complex (E. section Adnataria series Subbuxeales): evidence for extensive interspecific gene flow and reticulate evolution
Fig. 5. Maximum-likelihood phylogeny generated using RAXML, excluding samples with strong evidence for hybridisation and introgression in the combined ddRADseq and DArTseq dataset. Support values on branches are those from the ML and MP analysis, with branches with greater than 80% bootstrapping support in both analyses thickened. Series are labelled as per Nicolle (2019).
Fig. 1 in A phylogenetic investigation of the taxonomically problematic Eucalyptus odorata complex (E. section Adnataria series Subbuxeales): evidence for extensive interspecific gene flow and reticulate evolution
Fig. 1. Distributions of the 12 species of the E. odorata complex, using taxonomic concepts employed a priori in this study. (a) E. viridis and species most commonly considered its closest relatives. (b) E. odorata, E. polybractea and species commonly considered close relatives of these. Distributions are coloured by species and open circles are used to highlight geographically restricted populations. Closed points indicate the collecting localities and seed provenances for samples used in this study. Black circles indicate major regions where members of the E. odorata complex occur as applied in text, which may differ from the actual geographic extent.
Fig. 4 in A phylogenetic investigation of the taxonomically problematic Eucalyptus odorata complex (E. section Adnataria series Subbuxeales): evidence for extensive interspecific gene flow and reticulate evolution
Fig. 4. Maximum-likelihood phylogeny generated using RAXML including all samples in the combined ddRADseq and DArTseq dataset. Support values on branches are those from the ML and MP analysis, with branches with greater than 80% bootstrapping support in both analyses thickened. Series are labelled as per Nicolle (2019).
Time-series analysis of rhenium(I) organometallic covalent binding to a model protein for drug development: Raw Diffraction Images (38 week soak). Zenodo
<p>The synchrotron raw diffraction images obtained at 38 weeks and wavelength 0.976 Å, illustrates the covalent coordination of the rhenium(I) tricarbonyl fragment to the His and Asp amino acid residues as well as movement along the solvent channels as described in the publication titled "Time-series analysis of rhenium(I) organometallic covalent binding to a model protein for drug development", written by Jacobs, Helliwell & Brink,<em> IUCrJ</em>, 2024, https://doi.org/10.1107/S2052252524002598.</p> <p>The raw diffraction images for the DLS data sets are made available at the Zenodo research data archive, as specified in the publication.</p>
Smithsonian Contributions Series: Smithsonian Contributions to Botany
<p></p>https://repository.si.edu/handle/10088/796<p></p><p></p>https://repository.si.edu/handle/10088/6943
FIGURE 3 in Deciphering a hundred-year-old puzzle: the type series of Bryconamericus exodon (Characiformes: Characidae)
FIGURE 3. Type specimens of Bryconamericus exodon, A) Holotype, MCZ 29909, 39.4 mm SL, B) Paratype, MCZ 174232 32.9 mm SL, erroneusly catalogued with the holotype and still listed in CAS 39565, both from Puerto Max; C) Paratype, BMNH 1909.6.15.11, 20.0 mm SL, collected in Assunción.
FIGURE 2 in Deciphering a hundred-year-old puzzle: the type series of Bryconamericus exodon (Characiformes: Characidae)
FIGURE 2. Original labels associated to MCZ 29909, middle left with Carl Eigenmann's handwriting specifically stating "Send to Harvard"; Bottom right stating "29909 (2sp) Cotypes/Bryconamericus exodon/Puerto Max on the Paraguay, Eigenmann/Indiana University".
Fault test cases for series compensated transmission line with the capacitor at the middle of the line
<p><strong>Description</strong></p> <p>This data set contains time series data of different simulated fault cases in high voltage series compensated transmission lines. The simulation is done in PSCAD using the Python automation library. The capacitor is located in the middle of the line. The model of the line is given in the attached pdf file. The CT and VT are located at bus S. The distance are counted from bus S. The modelled line is 500 kV and 200 km long. The simulation is run for 1 second with 10 kHz sampling rate. </p> <p>Each file contains 10 data in the following order, </p> <p>Time<br> Voltage phase A<br> Voltage phase B<br> Voltage phase C<br> Current phase A<br> Current phase B<br> Current phase C<br> Voltage across capacitor phase A<br> Voltage across capacitor phase B<br> Voltage across capacitor phase C</p> <p>The variables used to study different test cases are shown below,</p> <p>Fault inception angle (referred to phase A voltage): 0 and 90 degree<br> Source impedance ratio: 0.20 and 0.35<br> Capacitor compensation level: 94 µF(50%), 78 µF(60%), 67 µF(70%)<br> Fault resistance: 0.10, 10, 20 ohm<br> Fault location: 10 km, 30 km, 50, 70 km, 90 km, 95 km, 105 km, 110 km, 130 km, 150 km, 160 km, 170 km, 180 km<br> Fault type: No-fault, AG, BG, CG, ABG, CAG, BCG, ABCG, AB, CA, BC, ABC</p> <p>All these factors lead to 5616 test cases in total. The test cases are organized in four (4) zipped folders each containing 1404 test cases. The PSCAD model file and an example python script that can be used to automate the simulations are also included herewith for anyone interested to replicate the results. </p> <p> </p> <p>The name of the folders contains the information regarding fault inception angle and source impedance ratio for all test cases inside that folder, for example, the folder name <strong>Outputs_0_0.20</strong> can be decoded as,</p> <p>0: Fault inception angle (phase A)<br> 0.20: Source impedance ration</p> <p>The files names inside the folders include information about the other variables used in generating the test case. For example, the name<strong> test_f_10_0_67_0.01</strong> can be interpreted as,</p> <p>test_f: f for forward fault<br> 10: fault location, 10 km<br> 0: Fault type<br> 67: Compensation level<br> 0.01: Fault resistance</p> <p>Fault types are interpreted as in PSCAD.</p> <p>0 = No-Fault,<br> 1 = Phase A to Ground<br> 2 = Phase B to Ground<br> 3 = Phase C to Ground<br> 4 = Phase AB to Ground<br> 5 = Phase AC to Ground<br> 6 = Phase BC to Ground<br> 7 = Phase ABC to Ground<br> 8 = Phase AB<br> 9 = Phase AC<br> 10 = Phase BC<br> 11 = Phase ABC</p> <p>The different line parameters used in the PSCAD model is as below,</p> <p><strong>Conductor</strong></p> <p>Type: Chukar<br> Geometric mean radius: 20.345 mm<br> DC resistance: 0.0318Ω/km<br> Strands: 84<br> Strand radius: 1.8491 mm<br> Relative permeability: 1.0<br> Sag: 12 m<br> Height: 22 m<br> Sub-conductor: 2<br> Sub-conductor spacing: 0.4572 m<br> Ground wire number: 2<br> Radius: 5.5245 mm<br> DC resistance: 2.8645Ω/km<br> Relative permeability: 1.0<br> Sag: 10 m<br> Height: 10 m</p> <p><strong>Impedance</strong></p> <p>Positive sequence 0.018 +j0.339 Ω/km<br> Zero sequence 0.266 +j1.017 Ω/km</p> <p> </p> <p><strong>These simulations were run for assessing time-domain protections. Therefore, the parallel CB protection across the series capacitor is disabled, as one can safely assume even with the highest current levels, the CB will take at least 20 ms to operate. This is higher than the time limits for time-domain protection. </strong></p>
Global Landside Clustering of Aquaculture Ponds Distribution Acquired from Dense Time-Series Sentinel-2 Images by Google Earth Engine
<p>This dataset reveals the global distribution pattern of landside clustering aquaculture ponds (LCAP) from a spatial perspective for the first time. It was derived from 4,015,054 tiles of the 10-m Sentinel-2 time-series images collected throughout 2020. The total area of global LCAP was estimated at 55,337.03 km2. Accuracy verification revealed that the Omission Error and Commission Error of the data is 7.51% and 16.69% respectively. We provide this dataset in <em>ESRI</em> <em>shapefile </em>format (.zip), which can be opened by <em>ArcGIS. </em>We invite you to download and utilize this dataset and recommend citing the following two references.</p>
Regionalized dynamic climate series for ecological climate impact research in modern controlled environment facilities
<p>Modern controlled environment facilities (CEFs) enable the simulation of dynamic microclimates in controlled ecological experiments through their technical ability to precisely control multiple environmental parameters. However, few CEF studies exploit the technical possibilities of their facilities, as climate change treatments are frequently applied by static manipulation of an inadequate number of climate change drivers, ignoring intra-annual variability and co-variation of multiple meteorological variables. We present so called Test Reference Years (TRY) that consist of typical annual cycles of temperature, relative humidity, air pressure, global radiation, photosynthetically active photon flux density, tropospheric ozone concentration and CO<sub>2</sub>. The TRYs represent possible annual cycles of a reference period (1987-2016) and the two contrasting climate scenarios RCP2.6 and RCP8.5.</p>
FIGURE 2 in A new species and taxonomic notes on Lycianthes series Glanduliferae (Solanaceae) from the Brazilian Amazon
FIGURE 2. Lycianthes amazonica Costa-Silva & Agra: indument and trichomes. A. Detail of adaxial leaf surface, and yellowish indument of young fruit (bar = 2 cm). B. Detail of abaxial leaf surface, and flower calyx with yellowish indument (bar = 1 cm). C. Capitate glandular and bifurcate trichomes (SEM, bar = 10 µm). D. Detail of the glandular portions of trichomes (SEM, bar = 10 µm). E. Simple and furcate glandular trichomes (SEM, bar= 20µm). F. Detail of the glandular portion of the glandular trichome from leaf (SEM, bar = 2µm). From M. N. Silva et al. 348 (RB).
FIGURE 3 in A new species and taxonomic notes on Lycianthes series Glanduliferae (Solanaceae) from the Brazilian Amazon
FIGURE 3. Known distribution of Lycianthes amazonica Costa-Silva & Agra (black dots) in southern Pará State, Brazilian Amazon.
FIGURE 1 in A new species and taxonomic notes on Lycianthes series Glanduliferae (Solanaceae) from the Brazilian Amazon
FIGURE 1. Holotype of L. amazonica Costa-Silva & Agra held at RB herbarium (Silva 348). The image is a courtesy of the RB Herbarium, Jardim Botânico do Rio de Janeiro.
Dataset for Spatial Heterogeneity of Uplift Pattern in the Western European Alps Revealed by InSAR Time Series Analysis
<p>ZIP file with InSAR raw and smoothed final velocity solution values</p>
Summary Report of the GenX and PowerGenome runs for generating Price Series (for ARPA-E FLECCS Project)
<p>The present work describes the different sensitivity scenarios and simulated conditions under which we conduct the capacity expansion planning studies using GenX, a highly reconfigurable Mixed-Integer Linear Programming (MILP) based capacity-expansion planning model. In this set of simulations, we consider </p>
Finite Mixture Models for Clustering Sales Series Data in the Presence of Promotions
<pre> 131 sales data where promotion causes volatility over the entire time series</pre>
PASTIS-R - Panoptic Segmentation of Radar and Optical Satellite image TIme Series
<p>Extension of the <a href="https://zenodo.org/record/5012942#.YaUaQ7so-V6">PASTIS benchmark</a> with radar and optical image time series.</p> <p>See associated <a href="https://arxiv.org/abs/2112.07558v1">article</a> for more details.</p>
PASTIS-R PixelSet - Radar and Optical Satellite Image Time Series in Pixel-Set format
<p>Extension of the <a href="https://zenodo.org/record/5012942#.YaUaQ7so-V6">PASTIS benchmark</a> with radar and optical image time series.<br> In this version the satellite image time series are prepared in pixel-set format.</p> <p>See associated <a href="https://arxiv.org/abs/2112.07558v1">article</a> for more details.</p>
FIGURE 7 in A new species of Ischnocnema (Anura: Brachycephalidae) from the mountainous region of Atlantic Forest, southeastern Brazil, with a new phylogeny and diagnose for Ischnocnema parva series
FIGURE 7. Ischnocnema crassa sp. nov. displaying antipredator mechanisms: (A) body inflation; (B) body elevation; (C) hiding and; (D) death feigning and body inflation with hidden aposematism.
FIGURE 8 in A new species of Ischnocnema (Anura: Brachycephalidae) from the mountainous region of Atlantic Forest, southeastern Brazil, with a new phylogeny and diagnose for Ischnocnema parva series
FIGURE 8. Bayesian inference topology of 16s gene with posterior probability values. Numbers at the nodes represent posterior probability support, other nodes with red circles has>95%. Terminals with locality specification are species prior for understand the description of I. crassa sp. nov. (★).
ScienceDex guides
Understand access before you commit
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.