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Dataset results
25 results for “NAO”
North Atlantic Oscillation (NAO) climate index hidden in ocean generated secondary microseisms
<p>Datatsets associated with "North Atlantic Oscillation (NAO) climate index hidden in ocean generated secondary microseisms". The data include the daily seismic cross-correlograms for station pairs located on land and at the seafloor offshore Ireland, 3D models used for the numerical simulations and the associated synthetic seismic data.</p>
Monthly NAO data for GRL paper "Understanding the Signal-to-noise Paradox with a Simple Markov Model"
<p>The datasets include monthly NAO data for GRL paper "Understanding the Signal-to-noise Paradox with a Simple Markov Model". The monthly NAO index is estimated based on the leading empirical orthogonal function mode of the Mean Sea Level Pressure (SLP) over the North Atlantic. The monthly NAO index has been normalized for each dataset seperately. The description of each file is shown as follows: </p> <ul> <li>monthly_nao_cmip5_models_1871_2005.nc: monthly NAO index derived from 40 CMIP5 model outputs (historical run; first realization)</li> <li>cmip5_model_list: list of 40 CMIP5 models</li> <li> monthly_nao_era20c_1900_2005.nc: monthly NAO index derived from the ECMWF's twentieth-century reanalysis data (ERA20C)</li> <li>monthly_nao_noaa20c_1871_2005.nc: monthly NAO index derived from the NOAA's twentieth-century reanalysis version-2 data (NOAA20C) </li> </ul>
10 years of Human-NAO Interaction Research
<p>The evolving field of human-robot interaction (HRI) necessitates that we better understand how social robots operate and interact with humans. This scoping review provides an overview of about 300 research works focusing on the use of the NAO robot from 2010 to 2020. This study presents one of the most extensive and inclusive pieces of evidence on the deployment of the humanoid NAO robot and its global reach.</p>
Simulated coordinated impacts of the previous autumn NAO and winter El Niño on the winter aerosol concentrations over eastern China
<p>The simulated aerosol concentrations and the model input meteorology fields (SLP and wind at 850 hPa) , as well as the data description files are listed.</p>
Data from: Population genetics of the American eel (Anguilla rostrata): FST = 0 and NAO effects on demographic fluctuations of a panmictic species
We performed population genetic analyses on the American eel (Anguilla rostrata) with three main objectives. First, we conducted the most comprehensive analysis of neutral genetic population structure to date in order to revisit the null hypothesis of panmixia in this species. Second, we used this data to provide the first estimates of contemporary effective population size (Ne) and to document temporal variation in effective number of breeders (Nb) in American eel. Third, we tested for statistical associations between temporal variation in the North Atlantic Oscillation (NAO) index, the effective number of breeders and two indices of recruit abundance. A total of 2142 eels from 32 sampling locations were genotyped with 18 microsatellite loci. All measures of differentiation were essentially zero, and no evidence for significant spatial or temporal genetic differentiation was found. The panmixia hypothesis should thus be accepted for this species. Nb estimates varied by a factor of 23 among 12 cohorts, from 473 to 10 999. The effective population size Ne was estimated to be around 22 382. This study also showed that genetically based demographic indices, namely Nb and allelic richness (Ar), can be used as surrogates for the abundance of breeders and recruits, which were both shown to be positively influenced by variation during high (positive) NAO phases. Thus, long-term genetic monitoring of American glass eels at several sites along the North American Atlantic coast would represent a powerful and efficient complement to census monitoring to track demographic fluctuations and better understand their causes.
FIGURE 9. Alpheus naos n in Three transisthmian snapping shrimps (Crustacea: Decapoda: Alpheidae: Alpheus) associated with innkeeper worms (Echiura: Thalassematidae) in Panama
FIGURE 9. Alpheus naos n. sp., male holotype from Punta Culebra, Isla Naos, Panama (USNM 1100668): a, third maxilliped, lateral view; b, second pereiopod, lateral view; c, third pereiopod, lateral view. Scale bar: 1 mm.
FIGURE 8. Alpheus naos n in Three transisthmian snapping shrimps (Crustacea: Decapoda: Alpheidae: Alpheus) associated with innkeeper worms (Echiura: Thalassematidae) in Panama
FIGURE 8. Alpheus naos n. sp., male holotype from Punta Culebra, Isla Naos, Panama (USNM 1100668): a, major cheliped, lateral view; b, same, distal merus, carpus and chela, mesial view; c, minor cheliped, dorsolateral view; d, same, chela, mesial view; e, same, lateral view. Scale bar: 1 mm.
FIGURE 7. Alpheus naos n in Three transisthmian snapping shrimps (Crustacea: Decapoda: Alpheidae: Alpheus) associated with innkeeper worms (Echiura: Thalassematidae) in Panama
FIGURE 7. Alpheus naos n. sp., male holotype from Punta Culebra, Isla Naos, Panama (USNM 1100668): a, frontal region, dorsal view; b, same, lateral view; c, tooth on mesioventral carina of first antennular segment, lateral view; d, second pleopod, lateral view; e, same, appendix masculina and appendix interna; f, left uropod, dorsal view; g, telson, dorsal view; h, same, detail of posterior margin. Scale bars: 1 mm.
Data for late winter NAO teleconnections
<p>Time series from various climate simulations from various ensembles (CMIP6, PPEs and HighResMIP) and ERA5 reanalysis for various drivers of late winter NAO. Used in Climate Dynamics paper:</p> <p>Effect of resolution on simulated teleconnections to winter North Atlantic circulation inferred from a causal network derived from expert elicitation.</p> <p>David M. H. Sexton<sup>1</sup>, Kuniko Yamazaki<sup>1</sup>, John W. Rostron<sup>1</sup>, Nick J. Dunstone<sup>1</sup>, David R. Fereday<sup>1</sup>, Steven C. Hardiman<sup>1</sup>, Sarah Ineson<sup>1</sup>, Jeff R. Knight<sup>1</sup></p>
FIGURE 6 in Distribution of Sipuncula in the Gulf of Valencia and Cape Nao (western Mediterranean)
FIGURE 6. Bubble plots showing the abundance of the main species for each station. Labels represent the different groups established (A1, A2, B, C, D, E).
FIGURE 2 in Distribution of Sipuncula in the Gulf of Valencia and Cape Nao (western Mediterranean)
FIGURE 2. Average abundance of sipunculans (mean±SE) and average species richness (spp sample-1) for each sampling year.
FIGURE 3 in Distribution of Sipuncula in the Gulf of Valencia and Cape Nao (western Mediterranean)
FIGURE 3. Average abundance of sipunculans (mean±SE) and average species richness (spp sample-1) for each locality.
A Story for Pepper & Nao
ClinicalTrials.gov study NCT06797050. IPD Sharing: NO. Countries: 1. Publications: 11.
Data from: Population genetics of the American eel (Anguilla rostrata): FST = 0 and NAO effects on demographic fluctuations of a panmictic species
Open the record for dataset details and reuse information.
AI-NAOS: An AI-Based Nonspherical Aerosol Optical Scheme for Chemical Weather Model GRAPES_Meso5.1/CUACE
<p><strong>data used for the figures</strong></p> <p><strong>trainning data for DNN of aerosol optical properties</strong></p>
FIGURE 4 in Distribution of Sipuncula in the Gulf of Valencia and Cape Nao (western Mediterranean)
FIGURE 4. Abundance of sipunculan species (total individuals) for each year of sampling.
Predictability of European winter 2019/20: Indian Ocean dipole impacts on the NAO
<p>Data and code to reproduce the figures in Atmospheric Science Letters publication "Predictability of European winter 2019/20: Indian Ocean dipole impacts on the NAO". Please cite the published ASL article if you use this dataset.</p>
Data and code for GRL submission "Tropical rainfall linked to stronger future ENSO-NAO teleconnection in CMIP5 models"
<p>Data and python code used to plot figures in GRL submission "Tropical rainfall linked to stronger future ENSO-NAO teleconnection in CMIP5 models".</p>
Mean firn and atmospheric characteristics for different periods, regions and NAO conditions, as simulated by IMAU-FDM v1.2G and RACMO2.3p2
<p>This data set contains IMAU-FDM v1.2G and RACMO2.3p2 output for the Greenland ice sheet from November 1957 to 2020. Netcdf files are provided with mean accumulation, skin temperature, 500 hPa geopotential height and temperature, zonal and meridional velocities and skin temperature for the periods 1995 - 2012 and 2013 - 2020 and for different NAO conditions. Basin averages of firn air content, firn thickness, 10-m firn temperatures, and surface height velocity components are provided as well. This data set is used in the manuscript "Spatial response of Greenland’s firn layer to NAO variability".</p>
Study on Yangxue Nao Granules Reducing the Risk of Stroke
ClinicalTrials.gov study NCT04949906. IPD Sharing: NO. Countries: 1. Publications: 0.
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.