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135 results for “Arctic Region”
data for the paper "Seasonal Prediction of Regional Arctic Sea Ice Using the High-Resolution Climate Prediction System CMA-CPSv3"
<p>CMA-CPSv3 data for the paper "Seasonal Prediction of Regional Arctic Sea Ice Using the High-Resolution Climate Prediction System CMA-CPSv3"</p>
Data from: Vicariance, long-distance dispersal, and regional extinction–recolonization dynamics explain the disjunct circumpolar distribution of the arctic-alpine plant Silene acaulis
Open the record for dataset details and reuse information.
Data from: Taxonomy, biogeography and DNA barcodes of Geodia species (Porifera, Demospongiae, Tetractinellida) in the Atlantic boreo-arctic region
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Figure 2 from: Shrubovych J (2019) Nienna chukotka sp. nov. (Protura, Acerentomidae, Nipponentominae) from the Arctic region, with a key to species of the genus. ZooKeys 899: 37-45. https://doi.org/10.3897/zookeys.899.47030
Figure 2 Nienna chukotka sp. nov. holotype. A Part of pro- and mesonotum B part of metanotum C part of tergite I D part of tergite VI E anterior part of prosternum F anterior part of mesosternum G sternite I H part of tergite VII I part of tergite VIII J abdominal leg of segment II K sternite VI L sternite VII M sternite VIII N sternites IX–X O hind margin of sternite XII. Arrows show pores. Scale bars: 20 µm.
Figure 1 from: Shrubovych J (2019) Nienna chukotka sp. nov. (Protura, Acerentomidae, Nipponentominae) from the Arctic region, with a key to species of the genus. ZooKeys 899: 37-45. https://doi.org/10.3897/zookeys.899.47030
Figure 1 Nienna chukotka sp. nov. holotype. A Part of head B pseudoculus with setae sd4, sd5 and l3C maxillary palpus D labial palpus E maxillary gland F female squama genitalis G exterior view of foretarsus H interior view of foretarsus I comb. Arrows show pores. Scale bars: 20 µm.
Arctic and subarctic regions in Monodontidae
Arctic and subarctic regions
Fig. 1 in Evidence Supporting the Concept of a Regionalized Distribution of Testate Amoebae in the Arctic
Fig. 1. Number of taxa per study region. X-axis with ID-number of the study site, given in Table 1. Y-axis the number of taxa. Numbers of taxa are also given on the graph.
Fig. 2 in Evidence Supporting the Concept of a Regionalized Distribution of Testate Amoebae in the Arctic
Fig. 2. Cluster diagram (Ward's method). Each cluster is given a symbol which is also used in Fig. 4. Numbers on the right hand represent the site-numbers (see Table 1).
Supplementary material 2 from: Nizamutdinov T, Abakumov E, Morgun E (2021) Morphological features, productivity and pollution state of abandoned agricultural soils in the Russian Arctic (Yamal Region). One Ecosystem 6: e68408. https://doi.org/10.3897/oneeco.6.e68408
Estimated scales of nutrient content in soil
Supplementary material 1 from: Nizamutdinov T, Abakumov E, Morgun E (2021) Morphological features, productivity and pollution state of abandoned agricultural soils in the Russian Arctic (Yamal Region). One Ecosystem 6: e68408. https://doi.org/10.3897/oneeco.6.e68408
Detailed soil contamination characteristics based on Igeo and Zc indices
First ISCCP Regional Experiment (FIRE) Arctic Cloud Experiment (ACE) CFD Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. Aerosol data obtained by Colorado State University during May 1998 on the NCAR C-130 research flights as part of the First ISCCP Regional Experiment (FIRE3) Arctic Cloud Experiment (ACE) flown onboard the NCAR C-130 aircraft during the FIRE ACE field campaign. The data are in ASCII format. The primary measurements were of ice nuclei and condensation nuclei.
Synthesis of Winter In Situ Soil CO2 Flux in pan-Arctic and Boreal Regions, 1989-2017
This dataset provides a synthesis of winter ( September-April) in situ soil CO2 flux measurement data from locations across pan-Arctic and Boreal permafrost regions. The in situ data were compiled from 66 published and 21 unpublished studies conducted from 1989-2017. The data sources (publication references) are provided. Sampling sites spanned pan-Arctic Boreal and tundra regions (>53 Deg N) in continuous, discontinuous, and isolated/sporadic permafrost zones. The CO2 flux measurements were aggregated at the monthly level, or seasonally when monthly data were not available, and are reported as the daily average (g C m-2 day-1) over the interval. Soil moisture and temperature data plus environmental and ecological model driver data (e.g., vegetation type and productivity, soil substrate availability) are also included based on gridded satellite remote sensing and reanalysis sources.
Gridded CO2 and CH4 Flux Estimates for pan-Arctic and Boreal Regions, 2003-2015
This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), net ecosystem CO2 exchange (NEE = Reco - GPP), and methane (CH4) emissions from tundra and boreal wetland soils, across the pan-Arctic and Boreal zone (>49 degrees north) at 1-km spatial resolution. The data were produced through simulations of the Arctic Terrestrial Carbon Flux Model (TCFM-Arctic) and are provided at the daily time step for the years 2003-2015. TCFM-Arctic uses a light-use efficiency approach driven by satellite estimates of FPAR (fraction of absorbed photosynthetically active radiation) to estimate GPP, and autotrophic respiration (Rauto) is estimated as a fraction of GPP. Heterotrophic respiration (Rhetero) is estimated using decomposition rates with environmental constraints applied to three near-surface soil organic carbon (SOC) pools, and Reco is determined as the sum of Ra and Rh. Methane production is estimated using optimal CH4 production rates with environmental constraints applied to the labile carbon pool, and transfer of CH4 from the soil to the atmosphere is modeled through vegetation, soil diffusion, and water ebullition pathways. The model estimates were calibrated and evaluated using >60 tower eddy covariance (EC) sites. Baseline carbon pools were initialized by continuously cycling (spinning-up) the model for 1,000 model years using recent climatology from 1985 to 2002 to reach a dynamic steady-state between estimated net primary productivity (NPP = GPP - Rauto) and near-surface SOC pools. The TCFM-Arctic simulations were extended to the full Arctic-boreal domain at a 1-km spatial resolution using land cover maps representing high latitude vegetation communities. The data are provided in NetCDF and comma-separated values (CSV) formats.
First ISCCP Regional Experiment (FIRE) Arctic Cloud Experiment (ACE) from the the NASA ER2 MODIS Airborne Simulator (MAS)
This data set consists of radiance measurements from the NASA ER2 Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (MAS) during the First ISCCP Regional Experiment (FIRE) Arctic Cloud Experiment (ACE).The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.
ABoVE: Fractional Open Water Cover for Pan-Arctic and ABoVE-Domain Regions, 2002-2015
This data set provides land surface fractional open water cover maps for two overlapping regions: the entire pan-Arctic region (latitude > 45 degrees) and the Arctic-Boreal Vulnerability Experiment (ABoVE) domain across Alaska and Canada. The data are a 10-day averaged time step at 5-km spatial resolution for the period 2002-2015. Data represent the aerial portion of a grid cell covered by open water. The data were produced using high frequency (89 GHz) brightness temperatures from the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and the Advanced Microwave Scanning Radiometer 2 (AMSR2), with other ancillary inputs from AMSR-E/AMSR2 25-km products and the Moderate Resolution Imaging Spectroradiometer (MODIS). The resulting data record for fractional water is suitable for documenting open water patterns and inundation dynamics in boreal-Arctic ecosystems experiencing rapid climate change.
Gridded Winter Soil CO2 Flux Estimates for pan-Arctic and Boreal Regions, 2003-2100
This dataset provides gridded estimates of soil CO2 flux (g C m-2 d-1) for the winter non-growing season (NGS) across pan-Arctic and Boreal permafrost regions (>49 Deg N), at 25 km spatial resolution. The data are the daily average flux over a monthly period for two climate periods: the baseline climate period represents 2003-2018 and the future climate scenarios period represents 2018-2100 under Representative Concentration Pathways (RCP) 4.5 and 8.5. The data were produced by applying a Boosted Regression Tree machine learning approach to create gridded estimates of emissions based on in situ observations of NGS fluxes provided in a related dataset. The resulting monthly average flux data records can be used to calculate annual NGS soil CO2 flux budgets from 2003-2100.
Figure 13 in Towards a revision of the genus Halectinosoma (Copepoda, Harpacticoida, Ectinosomatidae): new species from the North Atlantic and Arctic regions
Figure 13. Halectinosoma kliei sp. nov. Female holotype: A, P1; B, P2; C, P3; D, P4.
Physiological PBPK parameters from commercially relevant fish species in the Arctic region
<p>Dataset with values collected for a list of species deemed commercially relevant, who are present in the Arctic region. The aim of the literature search was to assess the data availability of physiological parameters for an Arctic Physiologically-based pharmacokinetic (PBPK) model. The literature search was conducted in the Web of Science database, in addition to searches for all listed species in the local database at The Norwegian Institute of Water Research (NIVA), and data was shared for Atlantic cod <em>(Gadus morhua), </em>and Atlantic halibut <em>(Hippoglossus hippoglossus) </em>by The Norwegian Institute of Marine Research (IMR/HI). Includes one sheet of data for lipid content of different tissues, tissue volumes, blood flow to tissues, cardiac output and oxygen consumption rates retrieved from FishBase (https://www.fishbase.se/)</p>
Code and data used for findings and figures in the manuscript "Land cover change-climate interactions amplified the diminishment of spring ecosystem productivity in the Arctic-Boreal region"
<p><span>This is the code and data used in the manuscript "Land cover change-climate interactions amplified the diminishment of spring ecosystem productivity in the Arctic-Boreal region" to generate all findings and figures.</span></p>
TROPOMI tropospheric vertical column densities of BrO in the Arctic region for spring 2020
<p>The <em>BrO_ship_track_rad150_without_desc_flag.DAT</em> file contains every TROPOMI tropospheric vertical column density (VCD) BrO pixel of an orbit within a 150 km radius of the research vessel Polarstern between 20.03. - 15.04.2020.</p> <p>The <em>S5P_bro_stratoscorrected_1403_1404_0125deg_without_desc.nc</em> file contains the TROPOMI tropospheric vertical column densities (VCDs) of BrO, averaged over the 14.03. - 14.04.2020 time period on a 0.125° x 0.125° grid from 55 to 90° north latitude.</p>
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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.