Automated Author Profile

Nesterova, Nataliia

0000-0003-0677-4982

Current S-Index

72.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.5

Average Dataset Index per dataset

Total Datasets

29

Total datasets for this author

Average FAIR Score

95.4%

Average FAIR Score per dataset

Total Citations

54

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Maximum monthly daily discharge for the Pole of Cold of the Northen Hemisphere (the Yana and Indigirka Rivers basins)

No description available

Authors

  • Makarieva, Olga ;
  • Nesterova, Nataliia ;
  • Sherstyukov, Artem
0 Citations0 Mentions96% FAIR2.1 Dataset Index
10.1594/pangaea.892766January 2023

Mean monthly soil temperature at varying depths for the Pole of Cold of the Northen Hemisphere (the Yana and Indigirka Rivers basins)

No description available

Authors

  • Makarieva, Olga ;
  • Nesterova, Nataliia ;
  • Sherstyukov, Artem
0 Citations0 Mentions96% FAIR1.0 Dataset Index
10.1594/pangaea.892772January 2023

Monthly precipitation for the Pole of Cold of the Northen Hemisphere (the Yana and Indigirka Rivers basins)

No description available

Authors

  • Makarieva, Olga ;
  • Nesterova, Nataliia ;
  • Sherstyukov, Artem
0 Citations0 Mentions96% FAIR1.0 Dataset Index
10.1594/pangaea.892771January 2023

Mean monthly discharge for the Pole of Cold of the Northen Hemisphere (the Yana and Indigirka Rivers basins)

No description available

Authors

  • Makarieva, Olga ;
  • Nesterova, Nataliia ;
  • Sherstyukov, Artem
0 Citations0 Mentions96% FAIR2.1 Dataset Index
10.1594/pangaea.892770January 2023

Mean monthly air temperature for the Pole of Cold of the Northen Hemisphere (the Yana and Indigirka Rivers basins)

No description available

Authors

  • Makarieva, Olga ;
  • Nesterova, Nataliia ;
  • Sherstyukov, Artem
0 Citations0 Mentions96% FAIR1.0 Dataset Index
10.1594/pangaea.892767January 2023

Characteristics of aufeis from the Cadastre of naleds of the North-East of the USSR (1958) for the Chukotka region

Historical data collection is created based on the Cadastre of aufeis (naled) of the North-East of the USSR (1958). Each aufeis was digitized as point feature by the inventory map (scale 1:2 000 000), or by topographic maps. Attributive data was obtained from the Cadastre of aufeis. According to the historical data, there were 2024 aufeis with a total area 2976.9 km² within the studied area (see also: doi:10.1594/PANGAEA.925429).

Authors

  • Makarieva, Olga ;
  • Shikhov, Andrey ;
  • Ostashov, Andrey ;
  • Nesterova, Nataliia ;
  • Semakina, Anastassiya
5 Citations0 Mentions96% FAIR4.2 Dataset Index
10.1594/pangaea.925416January 2020

Aufeis of the North-East of Russia: GIS catalogue for the Chukotka region

The GIS database contains the data of aufeis (naled) in the Chukotka region from historical and nowadays sources, and complete ArcGIS 10.1/10.2 and Qgis 3* projects to view and analyze the data. All data and projects have WGS 1984 coordinate system (without projection). ArcGIS and Qgis projects contain two layers, such as Aufeis_kadastr (historical aufeis data collection, point objects) and Aufeis_Landsat (satellite-derived aufeis data collection, polygon objects). Historical data collection is created based on the Cadastre of aufeis (naled) of the North-East of the USSR (1958). Each aufeis was digitized as point feature by the inventory map (scale 1:2 000 000), or by topographic maps. Attributive data was obtained from the Cadastre of aufeis. According to the historical data, there were 2024 aufeis with a total area 2976.9 km² within the studied area. Present-day aufeis dataset was created by Landsat-8 OLI images for the period 2013-2019. Each aufeis was delineated by satellite images as polygon. Cloud-free Landsat images are obtained immediately after snowmelt season, to detect the highest possible number of aufeis. Critical values of Normalized Difference Snow Index (NDSI) were used for semi-automated aufeis detection. However, a detailed expert-based verification was performed after automated procedure, to distinguish snow-covered areas from aufeis and cross-reference historical and satellite-based data collections. According to Landsat data, the number of aufeis reaches 2758, with their total area about 1147.1 km². The difference between the Cadastre (1958) and the satellite-derived data may indicate significant changes of aufeis formation environments.

Authors

  • Makarieva, Olga ;
  • Shikhov, Andrey ;
  • Ostashov, Andrey ;
  • Nesterova, Nataliia ;
  • Semakina, Anastassiya
5 Citations0 Mentions92% FAIR4.1 Dataset Index
10.1594/pangaea.925440January 2020

Characteristics of aufeis from the Cadastre of naleds of the North-East of the USSR (1958) for the Penzhina River area

Historical data collection is created based on the Cadastre of aufeis (naled) of the North-East of the USSR (1958). Each aufeis was digitized as point feature by the inventory map (scale 1:2 000 000), or by topographic maps. Attributive data was obtained from the Cadastre of aufeis. According to the historical data, there were 2024 aufeis with a total area 2976.9 km² within the studied area (see also: doi:10.1594/PANGAEA.925416).

Authors

  • Makarieva, Olga ;
  • Shikhov, Andrey ;
  • Ostashov, Andrey ;
  • Nesterova, Nataliia ;
  • Semakina, Anastassiya
5 Citations0 Mentions96% FAIR4.2 Dataset Index
10.1594/pangaea.925429January 2020

Characteristics of aufeis for the Chukotka region derived from Landsat images (2013-2019)

Present-day aufeis dataset was created by Landsat-8 OLI images for the period 2013-2019. Each aufeis was delineated by satellite images as polygon. Cloud-free Landsat images are obtained immediately after snowmelt season, to detect the highest possible number of aufeis. Critical values of Normalized Difference Snow Index (NDSI) were used for semi-automated aufeis detection. However, a detailed expert-based verification was performed after automated procedure, to distinguish snow-covered areas from aufeis and cross-reference historical and satellite-based data collections. According to Landsat data, the number of aufeis reaches 2758, with their total area about 1147.1 km². The difference between the Cadastre (1958) and the satellite-derived data may indicate significant changes of aufeis formation environments.

Authors

  • Makarieva, Olga ;
  • Shikhov, Andrey ;
  • Ostashov, Andrey ;
  • Nesterova, Nataliia ;
  • Semakina, Anastassiya
5 Citations0 Mentions96% FAIR4.2 Dataset Index
10.1594/pangaea.925430January 2020

Characteristics of aufeis for the Penzhina River basin derived from Landsat images (2013-2019)

Present-day aufeis dataset was created by Landsat-8 OLI images for the period 2013-2019. Each aufeis was delineated by satellite images as polygon. Cloud-free Landsat images are obtained immediately after snowmelt season, to detect the highest possible number of aufeis. Critical values of Normalized Difference Snow Index (NDSI) were used for semi-automated aufeis detection. However, a detailed expert-based verification was performed after automated procedure, to distinguish snow-covered areas from aufeis and cross-reference historical and satellite-based data collections. According to Landsat data, the number of aufeis reaches 2758, with their total area about 1147.1 km². The difference between the Cadastre (1958) and the satellite-derived data may indicate significant changes of aufeis formation environments.

Authors

  • Makarieva, Olga ;
  • Shikhov, Andrey ;
  • Ostashov, Andrey ;
  • Nesterova, Nataliia ;
  • Semakina, Anastassiya
5 Citations0 Mentions96% FAIR4.2 Dataset Index
10.1594/pangaea.925439January 2020