NERC Data Catalogue Service
NERC Data Catalogue Service (Natural Environment Research Council)
Continents, countries, sea regions of the world.
Antarctic Digital Database data limit at 60S - VERSION 7.2
A vector polyline at 60 deg S which is the northern limit for ADD datasets.
This information is licensed under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). To view this licence, visit https://creativecommons.org/licenses/by/4.0/ Please cite this item as: Gerrish, L. (2020). Antarctic Digital Database data limit at 60S (Version 7.2) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/367C992B-55A7-4A90-B972-861E443F95A1 If using for a graphic or if short on space, please cite as ''data from the SCAR Antarctic Digital Database, accessed [year]''
High resolution vector polygons of Antarctic rock outcrop - VERSION 7.2
High resolution dataset of rock outcrop in Antarctica. Data have been prepared from various map and remotely sensed datasets ranging from 1990s-2019. The large majority of data was compiled in 1993 and the quality and accuracy is uncertain. The automatically extracted rock outcrop layer provides a more accurate dataset in most locations.
This information is licensed under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). To view this licence, visit https://creativecommons.org/licenses/by/4.0/ Please cite this item as: Gerrish, L., Fretwell, P., & Cooper, P. (2020). High resolution vector polygons of Antarctic rock outcrop (Version 7.2) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/E30908FB-307E-4508-B391-3CCB55DA9167 If using for a graphic or if short on space, please cite as ''data from the SCAR Antarctic Digital Database, accessed [year]''
The Biological Investigations of Marine Antarctic Systems and Stocks (BIOMASS) Data Set
The Biological Investigations of Marine Antarctic Systems and Stocks (BIOMASS) Data Set has been created as part of the BIOMASS Programme directed towards deeper understanding of the ecology of the Southern Ocean, with emphasis on krill (Euphausia superba). Data were collected during 34 cruises through a collaboration by 12 countries during three field experiments. These were: the First International BIOMASS Experiment (FIBEX) from November 1980 to April 1981, the Second International BIOMASS Experiment (SIBEX), Part 1 from October 1983 to May 1984 and Part 2 from November 1984 to April 1985. Data were collected on krill distribution from acoustic surveys and krill population structure from net-hauls. Supporting data from ichthyoplankton net-hauls, oceanographic stations (temperature, salinity, nutrients and chlorophyll-a) and observations of sea-birds at sea were also collected. The BIOMASS Data Set is composed of 43 data files, extracted from the BIOMASS Oracle relational database created by the BIOMASS Data Centre that collated and standardised the data. The validation and correction of the data were carried out during data analysis workshops by the BIOMASS Programme scientists who collected the data. The majority of the BIOMASS data have been utilized during BIOMASS workshops. However, some have not been used and must be regarded as unvalidated. The documentation accompanying the BIOMASS data set lists the known problems and validation status of the data. Funding: The BIOMASS Data Set has been generated by the BIOMASS Data Centre funded by the British Antarctic Survey. Main sponsors of the BIOMASS Programme were the Scientific Committee on Antarctic Research (SCAR) and the Scientific Committee on Oceanic Research (SCOR) in collaboration with the International Association for Biological Oceanography and the Advisory Committee on Marine Resources Research of the Food and Agriculture Organization of the UN.
This data is governed by the NERC data policy http://www.nerc.ac.uk/research/sites/data/policy/ and supplied under Open Government Licence v.3 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.
Please see the BIOMASS Data Set Documentation for details.
Temperature, pressure, wind speed and wind direction from two automatic weather stations on the Brunt Ice Shelf that operated during 2015.
The data has been quality controlled. In AWS_B_2015.txt, the wind speed/direction sensor was not working prior to 29 January 2015. Additionally, the temperatures prior to 18:10 on 29 January 2015 have been corrected by ADDING 0.36degC
Medium resolution Antarctic lakes dataset - VERSION 7.2
A very incomplete dataset of surface lakes in Antarctica. Data have been prepared from various map and remotely sensed datasets. This dataset has been generalised from the high resolution version.
This information is licensed under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). To view this licence, visit https://creativecommons.org/licenses/by/4.0/ Please cite this item as: Gerrish, L., Fretwell, P., & Cooper, P. (2020). Medium resolution Antarctic lakes dataset (Version 7.2) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/C8570C1A-A75D-443E-A690-66FBE7D2F94C If using for a graphic or if short on space, please cite as ''data from the SCAR Antarctic Digital Database, accessed [year]''
High resolution vector polygons of the Antarctic coastline - VERSION 7.2
Coastline for Antarctica created from various mapping and remote sensing sources, provided as polygons with ''land'', ''ice shelf'', ''ice tongue'' or ''rumple'''''' attribute. Covering all land and ice shelves south of 60S. Version 7.2 was published in May 2020. Suitable for topographic mapping and analysis. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.
This information is licensed under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). To view this licence, visit https://creativecommons.org/licenses/by/4.0/ Please cite this item as: Gerrish, L., Fretwell, P., & Cooper, P. (2020). High resolution vector polygons of the Antarctic coastline (Version 7.2) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/065B9ABC-1B5A-4FC6-AA57-9052428AA6CA If using for a graphic or if short on space, please cite as ''data from the SCAR Antarctic Digital Database, accessed [year]''
High resolution vector polygon seamask for areas south of 60S - VERSION 7.2
A high resolution seamask for regions south of 60S, comprised of a roundel polygon with all land and ice shelves erased.
This information is licensed under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). To view this licence, visit https://creativecommons.org/licenses/by/4.0/ Please cite this item as: Gerrish, L. (2020). High resolution vector polygon seamask for areas south of 60S (Version 7.2) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/8295498A-0A14-4C62-AAFF-9D7C8648F9A5 If using for a graphic or if short on space, please cite as ''data from the SCAR Antarctic Digital Database, accessed [year]''
Medium resolution vector polygons of Antarctic rock outcrop - VERSION 7.2
High resolution dataset of rock outcrop in Antarctica. Data have been prepared from various map and remotely sensed datasets ranging from 1990s-2019. This dataset has been generalised from the high resolution version. The large majority of data was compiled in 1993 and the quality and accuracy is uncertain. The automatically extracted rock outcrop layer provides a more accurate dataset in most locations.
This information is licensed under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). To view this licence, visit https://creativecommons.org/licenses/by/4.0/ Please cite this item as: Gerrish, L., Fretwell, P., & Cooper, P. (2020). Medium resolution vector polygons of Antarctic rock outcrop (Version 7.2) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/33D793A4-B38C-4479-90DE-5AD3CEC03E17 If using for a graphic or if short on space, please cite as ''data from the SCAR Antarctic Digital Database, accessed [year]''
High resolution Antarctic moraine dataset - VERSION 7.2
An incomplete dataset of moraine in Antarctica. Data have been prepared from various map and remotely sensed datasets.
This information is licensed under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). To view this licence, visit https://creativecommons.org/licenses/by/4.0/ Please cite this item as: Gerrish, L., Fretwell, P., & Cooper, P. (2020). High resolution Antarctic moraine dataset (Version 7.2) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/15DA6D7D-481D-415D-BD87-B46CE8D1FA05 If using for a graphic or if short on space, please cite as ''data from the SCAR Antarctic Digital Database, accessed [year]''
A very incomplete dataset of streams in Antarctica. Data mainly cover Byers Peninsula, Deception Island, James Ross and Seymour islands, Fossil Bluff and some areas of the Transantarctic Mountains. Exact data sources can be found in the attribute table.
This information is licensed under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). To view this licence, visit https://creativecommons.org/licenses/by/4.0/ Please cite this item as: Gerrish, L., Fretwell, P., & Cooper, P. (2020). Antarctic streams dataset (Version 7.2) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/A96DB7DD-D938-46CF-BC4D-CB4A92C8F429 If using for a graphic or if short on space, please cite as ''data from the SCAR Antarctic Digital Database, accessed [year]''
EARTH SCIENCE > Human Dimensions > Boundaries
Area management/restriction/regulation zones and reporting units
EARTH SCIENCE > Cryosphere > Frozen Ground > Rock Glaciers
EARTH SCIENCE > Land Surface > Frozen Ground > Rock Glaciers
EARTH SCIENCE > Land Surface > Topography
EARTH SCIENCE > Biosphere > Ecological Dynamics
EARTH SCIENCE > Oceans > Marine Biology > Marine Invertebrates
EARTH SCIENCE > Oceans > Marine Environment Monitoring
EARTH SCIENCE > Atmosphere > Atmospheric Pressure > Sea Level Pressure
EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Air Temperature
EARTH SCIENCE > Atmosphere > Atmospheric Winds
EARTH SCIENCE > Hydrosphere > Surface Water > Lakes
EARTH SCIENCE > Oceans > Coastal Processes > Shorelines
EARTH SCIENCE > Hydrosphere > Surface Water > Rivers/Streams
UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
Polar Data Centre - British Antarctic Survey
Un-crewed Aerial Vehicle (UAV) derived population counts of gentoo and chinstrap penguin and South Georgia shag colonies on Signy Island, South Orkney Islands, 2016-2018
Numbers of nesting birds were manually counted from images collected by low-altitude aerial photography from multirotor Un-crewed Aerial Vehicles (UAVs). Three species were included in this study; gentoo (Pygoscelispapua) and chinstrap (Pygoscelis antarctica) penguin and South Georgia shag (Leucocarbo atriceps georgianus). Data were collected in the 2016/17 and 2017/18 field seasons.
Data released under Open Government Licence V3.0: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
All raw data appear as collected and have not been cleaned via post-processing analyses.
Floe-scale Fragmentation of Arctic Sea Ice 2013-2014
This dataset contains floe-scale fragmentation data derived from high-resolution satellite imagery from the USGS Global Fiducials Library. Individual sea ice floes were identified and tracked before and after fragmentation to study the fragmentation processes. The dataset includes floe-scale images, segmentation masks, and floe parameters. It can be used to investigate the fragmentation of Arctic sea ice during the spring breakup and summer melt seasons. The dataset was produced by the University of Huddersfield team. NERC standard grant NE/V011693/1.
Data supplied under Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.
The data quality was checked by manually inspecting each image. It should be noted that some of the fragments in the post-fragmentation images could not be identified. Some were too small, while others were difficult to distinguish based on floe and melt pond patterns. The delineation of the floe boundaries was performed using the OpenCV tool (CVAT AI). The delineation was relatively accurate for large floes, but the accuracy decreased for smaller floes.
Statistical investigation of the frequency dependence of the chorus source mechanism of plasmaspheric hiss
We use data from eight satellites to statistically examine the role of chorus as a potential source of plasmaspheric hiss. We find that the strong equatorial (|&#955;m| < 6&#176;) chorus wave power in the frequency range 50 < f < 200 Hz does not extend to high latitudes in any MLT sector and is unlikely to be the source of the low frequency plasmaspheric hiss in this frequency range. In contrast, strong equatorial chorus wave power in the medium frequency range 200 < f < 2000 Hz is observed to extend to high latitudes and low altitudes in the pre-noon sector, consistent with ray tracing modelling from a chorus source and supporting the chorus to hiss generation mechanism. At higher frequencies, chorus may contribute to the weak plasmaspheric hiss seen on the dayside in the frequency range 2000 < f < 3000 Hz band, but is not responsible for the weak plasmaspheric hiss on the night-side in the frequency range 3000 < f < 4000 Hz. The research leading to these results has received funding from the Natural Environment Research Council (NERC) Highlight Topic grant NE/P01738X/1 (Rad-Sat) and the NERC grants NE/V00249X/1 (Sat-Risk) and NE/R016038/1. Jacob Bortnik received funding from NASA grant NNX14AI18G, and RBSP-ECT and EMFISIS funding provided by JHU/APL contracts 967399 and 921647 under NASA''s prime contract NAS5-01072. Wen Li and Xiao-Chen Shen received funding from NASA grants 80NSSC20K0698 and 80NSSC19K0845, NSF grant AGS-1847818, and the Alfred P. Sloan Research Fellowship FG-2018-10936.
This data is supplied under Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.
The wave data have been calibrated and quality-controlled prior to release.
Thwaites MELT: Conductivity, Temperature and Depth (CTD) profiles from the grounding zone region of Thwaites Glacier Eastern ice shelf (2020)
Conductivity, Temperature and Depth (CTD) profiles were collected in the grounding zone region of Thwaites Glacier Eastern Ice Shelf in January 2020 as part of the International Thwaites Glacier Collaboration MELT project. Using a borehole deployable CTD system (SBE49), 15 profiles were collected over a period of 4 days between January 9th and January 12th to observe the hydrographic structure of the water column. The profiles extended from the ice base (520 dbar) to approximately 5 m above the seabed (575 dbar). Funding was provided by NSFPLR-NERC: Melting at Thwaites grounding zone and its control on sea level (THWAITES-MELT) NE/S006761/1.
The temperature data has an accuracy of ±0.002 °C. The conductivity data has an accuracy of ±0.0003 S/m. The SBE49 was factory calibrated prior to deployment. Missing values are indicated with a value of -9999.
EARTH SCIENCE > Biosphere > Ecological Dynamics > Population Dynamics
EARTH SCIENCE > Oceans > Marine Biology > Marine Birds
EARTH SCIENCE > Cryosphere > Sea Ice > Ice Extent
EARTH SCIENCE > Cryosphere > Sea Ice > Ice Floes
EARTH SCIENCE > Oceans > Sea Ice > Ice Extent
EARTH SCIENCE > Oceans > Sea Ice > Ice Floes
EARTH SCIENCE > Sun-earth Interactions > Ionosphere/Magnetosphere Dynamics > Plasma Waves
EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glaciers
EARTH SCIENCE > Oceans > Ocean Pressure > Water Pressure
EARTH SCIENCE > Oceans > Ocean Temperature > Water Temperature
EARTH SCIENCE > Oceans > Salinity/Density > Conductivity