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2,516 results for “Seri”
Data from: Early postembryonic to mature ontogeny of the oryctocephalid trilobite Duodingia duodingensis from the lower Cambrian (Series 2) of southern China
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Data from: Brachiopods from the Byrd Group (Cambrian Series 2, Stage 4), Central Transantarctic Mountains, East Antarctica
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Data from: Dynamically prognosticating patients with hepatocellular carcinoma through survival paths mapping based on time-series data
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Forecasting hourly emergency department arrival using time series analysis
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Crop visitation by wild bees declines over an 8‐year time series: A dramatic trend, or just dramatic between‐year variation?
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Time-series drinking water metagenomes: Assemblies & MAGs
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Shape coordinates and centroid size for adults and ontogenetic series analyzed in predictable complexity of evolutionary allometry
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GNSS uplift time series and ice surface elevation changes
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Data from: Multi-level patterns in population genetics: variogram series detects a hidden isolation-by- distance- dominated structure of Scandinavian brown bears Ursus arctos
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Time-series of groundwater recharge, Tiber Riber Basin, Italy from 801 CE to the present day
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Single center series of boys with recurrent strokes and rotational vertebral arteriopathy: Supplemental Table
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The natural history of fetal gallstones: A case series and updated literature review
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Acoustic Doppler Profiler (ADP) Time Series Measurements at Hog Island Bay at the Virginia Coast Reserve 2002-2004
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Automated Greenland Glacier Termini Position Time Series, Version 1
This data set contains shapefiles of termini traces from 294 Greenland glaciers, derived using a deep learning algorithm (AutoTerm) applied to satellite imagery. The model functions as a pipeline, imputing publicly availably satellite imagery from Google Earth Engine (GEE) and outputting shapefiles of glacial termini positions for each image. Also available are supplementary data, including temporal coverage of termini traces, time series data of termini variations, and updated land, ocean, and ice masks derived from the <a href="https://nsidc.org/data/nsidc-0714/versions/1">Greenland Ice Sheet Mapping Project (GrIMP) ice masks</a>.
A deep learning reconstruction of mass balance series for all glaciers in the French Alps: 1967-2015
<p>Glacier surface mass balance (SMB) data are crucial to understand and quantify the regional effects of climate on<br> glaciers and the high-mountain water cycle, yet observations cover only a small fraction of glaciers in the world. We present<br> a dataset of annual glacier-wide surface mass balance of all the glaciers in the French Alps for the 1967-2015 period. This<br> dataset has been reconstructed using deep learning (i.e. a deep artificial neural network), based on direct and remote sensing<br> SMB observations, meteorological reanalyses and topographical data from glacier inventories. This data science reconstruction<br> approach is embedded as a SMB component of the open-source ALpine Parameterized Glacier Model (ALPGM: https://zenodo.org/record/3609136). An extensive cross-validation allowed to assess the method’s validity, with an estimated average error (RMSE) of 0.49 m.w.e. a<sup>-</sup><sup>1</sup>, an explained variance (r<sup>2</sup>) of 79% and an average bias of +0.017 m.w.e. a<sup>-</sup><sup>1</sup>. We estimate an average regional area-weighted glacier-wide SMB of -0.72±0.20 m.w.e. a<sup>-</sup><sup>1</sup> for the 1967-2015 period, with moderately negative mass balances in the 1970s (-0.52 m.w.e. a<sup>-</sup><sup>1</sup>) and 1980s (-0.12 m.w.e. a<sup>-</sup><sup>1</sup>), and an increasing negative trend from the 1990s onwards, up to -1.39<br> m.w.e. a<sup>-</sup><sup>1</sup> in the 2010s. Following a topographical and regional analysis, we estimate that the massifs with the highest mass losses for this period are the Chablais (-0.90 m.w.e. a<sup>-</sup><sup>1</sup>) and Ubaye and Champsaur (-0.91 m.w.e. a<sup>-</sup><sup>1</sup> both) ranges, and the ones presenting the lowest mass losses are the Mont-Blanc and Oisans ranges (-0.74 and -0.78 m.w.e. a<sup>-</sup><sup>1</sup> respectively). This dataset provides relevant and timely data for studies in the fields of glaciology, hydrology and ecology in the French Alps, in need of regional or glacier-specific meltwater contributions in glacierized catchments.</p> <p>The SMB dataset is comprised of multiple <em>CSV</em> files, one for each of the 661 glaciers from the 2003 glacier inventory (Gardent et al., 2014), named with its GLIMS ID and RGI ID with the following format: <em>GLIMS-ID_RGI-ID_SMB.csv</em>. Both indexes are used since some glaciers that split into multiple sub-glaciers do not have an RGI ID. Split glaciers have the GLIMS ID of their "parent" glacier and an RGI ID equal to 0. Every file contains one column for the year number between 1967 and 2015 and another column for the annual glacier-wide SMB time series. Glaciers with remote sensing-derived observations (Rabatel et al., 2016) include this information as an additional column. This allows the user to choose the source of data, with remote sensing data having lower uncertainties (0.35±0.06 () m.w.e. a<sup>-</sup><sup>1</sup> as estimated in Rabatel et al. (2016)). Columns are separated by semicolon (;). All topographical data for the 661 glaciers can be found in the updated version of the 2003 glacier inventory included in the Supplementary material.</p>
Elevation change time series, Kjer and Hayes glacier drainage basins, NW Greenland
<p>This data set includes ice sheet elevation time series reconstructed at 19 locations in the Kjer and Hayes glacier drainage basins. Time series were derived from Digital Elevation Models (DEMs) and altimetry data collected from 1993 to 2015 by using the SERAC approach (Schenk and Csatho, 2012).</p> <p>Reference: Schenk, T. & Csatho, B. A New Methodology for Detecting Ice Sheet Surface Elevation Changes From Laser Altimetry Data. <em>Geoscience and Remote Sensing, IEEE Transactions on</em> <strong>50,</strong> 3302–3316 (2012).</p>
Expansion of UBTR012574 Chemical Series
<p>Expansion of the chemical series of <a href="https://openlabnotebooks.org/testing-usp5-znf-ubd-analogues-with-a-displacement-assay-and-spr/">UBTR012574 (K<sub>D</sub>= 10 ± 0.1 µM)</a> by docking analogue compounds from the Enamine REAL database and SciFinder against the USP5 zinc finger ubiquitin-binding domain (ZnF-UBD) to prioritize compound ordering. The binding potency of the ordered compounds against USP5 ZnF-UBD was assessed with a surface plasmon resonance (SPR) assay.</p>
Time series data of rotational angular velocity of Typhoon Lan (2017) derived by Tsukada and Horinouchi (2020)
<p>Time series data of rotational angular velocity in the eye of Typhoon Lan (2017) on October 21, 2017, derived by Tsukada and Horinouchi (2020) using the data observed by Himawari-8 satellite. More information is also available at <a href="http://wwwoa.ees.hokudai.ac.jp/people/horinouchi-lab/TC/data_en.html">http://wwwoa.ees.hokudai.ac.jp/people/horinouchi-lab/TC/data_en.html</a>.</p>
Detectable urbanization effect in observed surface air temperature data series in Pyongyang region, DPR Korea-Supporting Information-data
<p>This is the calculated dataset as supplemental information of a paper entitled "Detectable urbanization effect in observed surface air temperature data series in Pyongyang region, DPR Korea", which will be likely published in Geophysical Research Letters.</p> <p> </p> <p> </p> <p> </p>
Figure S1 - Time-series and trends of VIs, DIN-output and S-input for all catchments
<p>Figure S1: Trends (dotted lines) in long-term standard scores for measured sulfur deposition (S-input) and stream water total dissolved inorganic nitrogen export (DIN-output) during the observation period 1994-2016 and trends in vegetation indices extracted from Landsat satellite data for the observation period 1984-2016 for all catchments</p> <p> </p> <p>Table S1: Linear regression coefficients of trend lines in Figure S1</p>
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.