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184 results for “high latitude”
Data from: Extremely low genetic variability and highly structured local populations of Arabidopsis thaliana at higher latitudes
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Consistent pattern of higher lability of leaves from high latitudes for both native Phragmites australis and exotic Spartina alterniflora
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Warming drives poleward range contractions of Beringian endemic plant species at high latitudes
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Data from: Range shifting species reduce phylogenetic diversity in high latitude communities via competition
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Data from: Population genetics of a broadcast-spawning coral across a tropical-temperate transition zone reveals regional differentiation and isolation of high-latitude reefs
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Aboveground Biomass Density for High Latitude Forests from ICESat-2, 2020
This dataset provides estimates of Aboveground dry woody Biomass Density (AGBD) for high northern latitude forests at a 30-m spatial resolution. It is designed both for boreal-wide mapping and filling the northern spatial data gap from NASA's Global Ecosystem Dynamics Investigation (GEDI) project. Mapping forest aboveground biomass is essential for understanding, monitoring, and managing forest carbon stocks toward climate change mitigation. The AGBD estimates cover the extent of high latitude boreal forests and extend southward to 50 degrees latitude outside the boreal zone. AGBD was predicted using two modeling steps: 1) Ordinary Least Squares (OLS) regression related field plot measurements of AGBD to NASA's ICESat-2 30-m lidar samples, and 2) random forest models were used to extend estimates beyond the field plots by relating ICESat-2 AGBD predictions to wall-to-wall covariate stacks from Harmonized Landsat Sentinel-2 (HLS) and the Copernicus DEM. Per-pixel uncertainties are estimated from bootstrapping both models. Non-vegetated areas (e.g. built up, water, rock, ice) were masked out. HLS composites and ICESat-2 data were from 2019-2021; three years of conditions were aggregated into the circa 2020 map. ICESat-2 data were filtered to include only strong beams, growing seasons (June through September), solar elevations less than 5 degrees, snow free land (snow flag set to 1), and "msw_flag" equal to 0 (clear skies and no observed atmospheric scattering). ICESat-2's ATL08 product was resampled to a 30-m spatial resolution to better match both the field plots and mapped pixels. HLS data (L30HLS) were used to create a greenest pixel composite of growing season multispectral data, which was then used to compute a suite of vegetation indices: NDVI, NDWI, NBR, NBR2, TCW, TCG. These were then used, in combination with the slope and elevation data from the Copernicus DEM product, to predict 30-m AGBD per 90-km tile. Estimates of mean AGBD with standard deviation are provided in cloud-optimized GeoTIFF (CoG) format. Training data are in comma-separated values (CSV) format. A polygon map of data tiles is included as a GeoPackage file and a Shapefile.
Supporting Data for Feldl et al. 2017: Coupled high-latitude climate feedbacks and their impact on atmospheric heat transport
<p>This dataset includes GFDL AM2.1 model output used to create figures in the following papers: Feldl, N., S. Bordoni, and T. M. Merlis, 2017: Coupled high-latitude climate feedbacks and their Impact on atmospheric heat transport. <em>J. Climate</em>, 30, 189–201, https://doi.org/10.1175/JCLI-D-16-0324.1; and Feldl, N., B. T. Anderson, and S. Bordoni, 2017: Atmospheric eddies mediate lapse rate feedback and Arctic amplification. <em>J. Climate</em>, 30, 9213–9224, https://doi.org/10.1175/JCLI-D-16-0706.1. Here we provide monthly climatologies averaged over the last thirty years of each experiment.</p>
JGR-Oceans article 2024JC021722: High-Latitude Cabbeling Observations by the Air-Sea Interaction Profiler
<p>Data for JGR article 2024JC021722. Data is in matlab format with a set of structs where each struct is named: deployx_mmddHHMM, where x is the deployment number (4-6) and mmddHHMM is the time of the profile.</p> <p>Struct contains:</p> <p>temp: temperature in degC</p> <p>sal: salinity in PSU</p> <p>dens: density in kg/m3</p> <p>pres: pressure in dbar</p>
more data for "High-Latitude Electrodynamics Specified in SAMI3 Using AMPERE Field-Aligned Currents"
<p>Potential maps derived from AMPERE field-aligned current data and SAMI3 conductances</p>
Data for "Interhemispheric asymmetry in the high-latitude neutral density variations during the 13-14 March 2022 storm"
<p>DMSP data and GITM outputs used for "Interhemispheric asymmetry in the high-latitude neutral density variations during the 13-14 March 2022 storm".</p> <p>Descriptions of data can be found in ReadMe.txt.</p>
Southern High Latitude Temperature Proxies from the Late Eocene and Early Oligocene
<p>Dataset of proxy records utilized in Comparison of Southern High Latitude Temperature Proxies to Model Outputs from the Eocene-Oligocene Transition by Tibbett et al., 2022</p>
Data from: High speciation rate at temperate latitudes explains unusual diversity gradients in a clade of ectomycorrhizal fungi
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Figure 2 in First fossil frog from Antarctica: implications for Eocene high latitude climate conditions and Gondwanan cosmopolitanism of Australobatrachia
Figure 2. Ilium (NRM-PZ B282) of Calyptocephalella sp. from Seymour Island, Antarctica. Ilium in lateral (a), medial (b), ventral (c) and dorsal (d) views. Magnified region of the dorsal protuberance in lateral (e – dashed rectangle in orange color) and dorsal (f – dashed rectangle in yellow color) view. The dashed line in black on (a) indicates the probable outline of the posterior extension of the ventral acetabular expansion. The asterisk (*) on (a,c) indicates the shallow and broad depression of the ventral acetabular expansion. The double asterisk (**) indicates the notch caudally from the dorsal protuberance. The dashed red lines on (e,f) outline the intact bone surface. Abbreviations: ac, acetabulum; ar, acetabular rim; dae, dorsal acetabular expansion; is, iliac shaft; paf, preacetabular fossa; spf, supraacetabular fossa; vae, ventral acetabular expansion; vd, ventral depression.
Figure 3 in First fossil frog from Antarctica: implications for Eocene high latitude climate conditions and Gondwanan cosmopolitanism of Australobatrachia
Figure 3. Skull bone fragment (NRM-PZ B281) of Calyptocephalella sp. from Seymour Island, Antarctica in dorsal (a), ventral (b) and lateral (c) views.
Figure 6 in First fossil frog from Antarctica: implications for Eocene high latitude climate conditions and Gondwanan cosmopolitanism of Australobatrachia
Figure 6. Reconstruction of an Eocene pond in the Nothofagus forest of the Antarctic Peninsula with Calyptocephalella, sitting on a leaf of Notonuphar antarctica which was described from the same locality12. Artwork by Pollyanna von Knorring, Swedish Museum of Natural History. Photo credits: Simon Pierre Barrette and José Grau de Puerto Montt, Wikimedia Commons (CC BY-SA 3.0), and Mats Wedin, Swedish Museum of Natural History.
Figure 5 in First fossil frog from Antarctica: implications for Eocene high latitude climate conditions and Gondwanan cosmopolitanism of Australobatrachia
Figure 5. Eocene palaeogeography of the south polar region with a cladogram of australobatrachid frogs showing their occurrences on the southern continents. The grey color indicates the outlines of the continents during the Eocene, the black colored outline the present-day outlines of the continents. Map redrawn from an original generated using ArcGIS 10.17.1 (www.esri.com) software, based on the Satellite base map layer in google Maps (Map data ©2019 Google). Abbreviations: ANT, Antarctica; AUS, Australia and Tasmania; NG, New Guinea; NZ, New Zealand; SA, South America. The red star indicates the fossil locality on Seymour Island.
37-Month MAXI/GSC High Galactic-Latitude Source Catalog
This table contains the catalog of high Galactic-latitude (|b| > 10<sup>o</sup>) X-ray sources detected in the first 37 months of data accumulation of the Monitor of All-sky X-ray Image/Gas Slit Camera (MAXI/GSC). To achieve the best sensitivity, the authors developed a background model of the GSC that well reproduced the data based on the detailed on-board calibration. Source detection was performed through image fits with a Poisson likelihood algorithm. The catalog contains 500 objects detected with significances >= 7 in the 4-10 keV band. The limiting sensitivity is ~7.5 x 10<sup>-12</sup> erg cm<sup>-2</sup> s<sup>-1</sup> ( ~0.6 mCrab) in the 4-10 KeV band for 50% of the survey area, which is the highest ever achieved in an all-sky survey mission covering this energy band. In their paper, the authors summarize the statistical properties of the catalog and results from cross-matching with the Swift/BAT 70-month catalog (BAT70), the meta-catalog of X-ray detected clusters of galaxies (MCXC), and the MAXI/GSC 7-month catalog (GSC7). This catalog lists the source name (2MAXI), the position and its error, the detection significances and fluxes in the 4-10 keV and 3-4 keV bands, the hardness ratio, and the basic information on the likely counterpart (the latter available for 296 of the sources). This table was created by the HEASARC in September 2013 based on the electronic version of Table 1 from the reference paper which was obtained from The ApJS web site. This is a service provided by NASA HEASARC .
High-latitude Intercomparison and Validation Experiment (HIVE)
Measurements taken in the Gulf of Alaska and Bering Sea during 1997 and 1998.
MAXI/GSC 7-Year High and Low Galactic Latitude Source Catalog (3MAXI)
This table combines the published X-ray source catalogs of the high galactic latitude (|b| > 10<sup>o</sup>), Kawamuro et 2018, and the low galactic latitude (|b| < 10<sup>o</sup>), Hori et al. 2018, based on 7 years of MAXI Gas Slit Camera (GSC) data from 2009 August 13 to 2016 July 31. The low galactic latitude catalog contains 221 sources with a significance threshold > 6.5 sigma. The low galactic faintest source has a flux of 5.2 x 10<sup>-12</sup> erg cm<sup>-2</sup> s<sup>-1</sup> (or an intensity of 0.43 mCrab) in the 4-10 keV band. The high galactic latitude catalog contains 686 sources detected at significances >= 6.5 sigma in the 4-10 keV band. The high galactic 4-10 keV sensitivity reaches ~0.48 mCrab, or ~5.9 x 10<sup>-12</sup> erg cm<sup>-2</sup> s<sup>-1</sup>, over half of the survey area. The same data-screening criteria were applied to obtain the low and high galactic catalogs. In their papers the authors describe the detection method, the statistical quantities derived for each source and their variability. To derive a counterpart, each source was cross-matched with the Swift/BAT 105-month catalog (BAT105; Oh et al. 2018), the Uhuru fourth catalog (4U; Forman et al. 1978), the RXTE All-Sky Monitor long-term observed source table (XTEASMLONG16), Meta-Catalog of X-Ray Detected Clusters of Galaxies (MCXC; Piffaretti et al. 2011), the XMM-Newton Slew Survey Catalog (XMMSL217), and the ROSAT All-Sky Survey Bright Source Catalog (1RXS; Voges et al. 1999). Seven of the sources in the low galactic latitudes were detected by binning the data differently (source numbers 215-221 in the catalog named 73-day sources), and, similarly, four of the sources in the high galactic latitude catalog named transient sources. The parameters in the combined table include the source name (3MAXI), the position and its error, the detection significances and fluxes in the 4-10 keV, 3-4 keV bands and 10-20 keV bands the hardness ratios (HR1: 3-4 keV, 4-10 keV and HR2: 4-10 keV, 10-20 keV), excess variance in the 4-10 keV lightcurve and information on the likely counterpart. The high galactic catalogs also reports the flux in the 3-10 keV, an additional hardness (HR3: 3-10 keV and 10-20 keV) and an additional parameter representing variability. The hardness ratios are defined as H-S/H+S were S and H are the soft- and hard-band fluxes, respectively. This table was created by the HEASARC in April 2021. It is a combination of the 7-year low- and high-latitude MAXI source catalogs published on ApJS. The data for the low-galactic latitude and the high-galactic latitude were downloaded from the ApJS electronic version of the Hori et al. 2018 ApJS 235,7 and Kawamuro et al. 2018 ApJS 238,33 papers respectively. The low-latitude data included in this table are from tables 4, 5, 6, 7 of the Hori paper that report the X-ray sources detected (214 sources, table 4), their possible identification (table 5), the transient sources discovered binning the data on 73 days period (7 sources, table 5) and their identification (table 6). The high-latitude data included in this table are from the tables 1,2,3 of the Kawamuro paper that report the X-ray sources detected (682 sources in table 1), their identifications (table 2), and the transient sources (4 sources in table 3). The low and high galactic latitude source catalogs provide for each individual source similar parameters for the X-ray properties with the high-latitude having three additional parameters, specifically, the flux in the 3-10 keV energy range, the 3-10/10-20-keV hardness ratio, and a time variability test. These parameters are kept in the HEASARC combined table and set to "blank" values for the low-latitude sources. The four sources in the high-latitude catalog named transient sources have only fluxes in the 4-10 keV band and no other fluxes in the other energy bands or the hardness ratio are reported. The HEASARC combined table includes a field to identify whether the source is from the low-latitude paper or the high-latitude paper and also maintains the source numbers that were published in the original catalogs. This is a service provided by NASA HEASARC .
ROSAT All-Sky Survey: Soft High Galactic-Latitude X-Ray Sources 2
This table contains a summary of spectroscopic identifications of bright soft high-galactic-latitude X-ray sources from the ROSAT All-Sky Survey (RASS) with total PSPC count rates 0.11 < CR < 0.5 cts/s and hardness ratios HR1 < 0. This study supplements the identification program of a complete sample of sources with CR >= 0.5 cts/s presented previously (Thomas et al. 1998, A&A, 335, 467; available at the HEASARC as the RASSHGSOFT table). Spectroscopic identifications are presented for 70 of 77 sources, 5 sources are identified by other means, and subsidiary information is given for 2 as yet unidentified sources. In practically all cases, a unique optical counterpart exists. As for the brighter fraction of the sample, the largest source classes are Seyfert 1 galaxies, magnetic cataclysmic variables, and hot white dwarfs. In the Galactic Pole caps at |b| > 40 degrees, Seyfert galaxies dominate, whereas at intermediate latitudes galactic objects as magnetic cataclysmic variables and white dwarfs become relatively more frequent. This table was created by the HEASARC in May 2012 based on <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/347/47">CDS Catalog J/A+A/347/47</a> file table3,dat. This is a service provided by NASA HEASARC .
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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)
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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.